﻿FN Clarivate Analytics Web of Science
VR 1.0
PT B
AU Garrido, A
   Bielza, M
   Rey, D
   Mínguez, MI
   Ruiz-Ramos, M
AF Garrido, Alberto
   Bielza, Maria
   Rey, Dolores
   Ines Minguez, M.
   Ruiz-Ramos, M.
BE Dinar, A
   Mendelsohn, R
TI Insurance as an adaptation to climate variability in agriculture
SO HANDBOOK ON CLIMATE CHANGE AND AGRICULTURE
LA English
DT Article; Book Chapter
ID IMPACTS; CROP; INSURERS; RISK
C1 [Garrido, Alberto; Bielza, Maria; Ines Minguez, M.; Ruiz-Ramos, M.] Tech Univ Madrid UPM, Madrid, Spain.
   [Rey, Dolores] Tech Univ Madrid, Madrid, Spain.
C3 Universidad Politecnica de Madrid; Universidad Politecnica de Madrid
RP Garrido, A (corresponding author), Tech Univ Madrid UPM, Madrid, Spain.
RI RUIZ RAMOS, MARGARITA/H-9933-2015; Minguez, M Ines/F-5627-2016
OI RUIZ RAMOS, MARGARITA/0000-0003-0212-3381; Minguez, M
   Ines/0000-0002-1966-0653
CR Adams J., 2007, RISK
   [Anonymous], 2007, CLIMATE CHANGE FINAN
   [Anonymous], HORN AFR RISK TRANSF
   [Anonymous], UNHOLY TRINITY FAT T
   [Anonymous], 2008, Climate Change and Agriculture in Africa: Impact Assessment and Adaptation Strategies
   [Anonymous], 2009, Shaping climate-resilient development: a framework for decision-making
   Baethgen WE, 2010, CROP SCI, V50, pS70, DOI 10.2135/cropsci2009.09.0526
   Barnett BJ, 2008, WORLD DEV, V36, P1766, DOI 10.1016/j.worlddev.2007.10.016
   Berz G, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P417
   Berz G., 1999, Mitigation and Adaptation Strategies for Global Change, V4, P283
   Bielza Diaz-Caneja M., 2008, JRC SCI TECHNICAL RE
   Bielza Diaz-Caneja M., 2009, EUR23943ENJRC51982
   Botterill L.C., 2010, 2 INT C DROUGHT MAN
   Botzen WJW, 2010, NAT HAZARDS, V52, P577, DOI 10.1007/s11069-009-9404-1
   Boyer P., 2006, INT C AGR INS MADR N
   Burgaz F.J., 2010, C INT GEST RIESG CRI
   Cabrera V.E., 2007, AM AGR EC ASS ANN M
   Cafiero C., 2004, C INT CRED AGR CICA
   Cafiero C, 2007, CAN J AGR ECON, V55, P419, DOI 10.1111/j.1744-7976.2007.00100.x
   Callan J., 2006, INT C AGR INS MADR N
   Chang C-C., 2002, ANN M AAEA LONG BEAC
   Changnon SA, 1997, B AM METEOROL SOC, V78, P425, DOI 10.1175/1520-0477(1997)078<0425:EORWEO>2.0.CO;2
   Collier P., 2009, EC POLITICS CLIMATE, P125
   Dinku T., 2009, 0904 IRI COL U CLIM
   Dlugolecki A, 2008, GENEVA PAP R I-ISS P, V33, P71, DOI 10.1057/palgrave.gpp.2510152
   Dolan A.H., 2001, Adaptation to climate change in agriculture: evaluation of options
   ENESA, 2008, SIST ESP SEG AGR SPA
   Engert E., 2010, C INT GEST RIESG CRI
   European Commission, 2008, AGR INS SCHEM
   FAO, 2005, FAO AGR SERVICES B, P159
   FAO, 2008, CLIMATE CHANGE DISAS
   FOSSE ER, 1993, B AM METEOROL SOC, V74, P1703, DOI 10.1175/1520-0477(1993)074<1703:PIOSIC>2.0.CO;2
   Foster D., 2006, INT C AGR INS MADR N
   Garrido A., 2011, CLIMATE RES IN PRESS
   Giddens Anthony., 2009, POLITICS CLIMATE CHA
   Grant C., 2007, 101 EAAE SEM MAN CLI
   Guimaraes E., 2010, C INT GEST RIESG CRI
   Hanemann M., 2010, INT WORKSH CLIM CHAN
   Hansen J., 2007, Journal of SAT Agricultural Research, V4, P1
   Hazell P., 2006, IMPACT CLIMATE CHANG, P385
   Hazell P., 2010, The potential for scale and sustainability in weather index insurance for agriculture and rural livelihoods
   Hazell Peter., 1986, Crop Insurance for Agricultural Development
   Hecht S.B., 2008, 0824 UCLA SCH LAW
   Hoff H., 2003, Risk Management in Water and Climate: The Role of Insurance and Other Financial Services
   Hohl R., 2004, MICE WORKSH FLOR OCT
   Huirne R.B.M., 2008, INCOME STABILISATION
   Iglesias A., 1995, ASA SPEC PUBL
   IPCC, 2000, IPCC SPEC REP EM SC
   Jones C.A., 1986, CERES-Maize : a simulation model of maize growth and development
   Kosholkina L., 2010, C INT GEST RIESG CRI
   Leach B., 2010, C INT GEST RIESG CRI
   Leary N., 2008, Climate change and adaptation
   Liu J., 2006, 20061 U FLOR DEP IND
   Lopez J.M., 2007, 114 FDN MAPFR, P114
   López-Cedrón FX, 2005, EUR J AGRON, V23, P89, DOI 10.1016/j.eja.2005.01.001
   Mahul O., 2010, GOVT SUPPORT AGR INS
   Mariscal M.J., 1993, EFECTOS FECHA SIEMBR
   Massias M., 2010, C INT GEST RIESG CRI
   Maynard T, 2008, GENEVA PAP R I-ISS P, V33, P140, DOI 10.1057/palgrave.gpp.2510154
   McLeman R, 2006, CAN GEOGR-GEOGR CAN, V50, P217, DOI 10.1111/j.0008-3658.2006.00136.x
   Meuwissen M.P.M., 1999, EUROPEAN EC REPORTS
   Miguez F., 2010, C INT GEST RIESG CRI
   Mills E, 2005, SCIENCE, V309, P1040, DOI 10.1126/science.1112121
   Mills E, 2009, GENEVA PAP R I-ISS P, V34, P323, DOI 10.1057/gpp.2009.14
   Mortemousque D., 2007, NOUVELLE ETAPE DIFFU
   Pati G.C., 2010, C INT GEST RIESG CRI
   Pikor G., 2010, C INT GEST RIESG CRI
   Quemada M, 1997, AGRON J, V89, P723, DOI 10.2134/agronj1997.00021962008900050003x
   Raju S.S., 2008, Agricultural Insurance in India: Problems and Prospects
   Rey Vicario D., 2010, EVALUACION IMPACTO C
   Ritchie J.T., 1985, ARS WHEAT YIELD PROJ, P159
   Ritchie J.T., 1989, A Users Guide to CERES Maize-V2.10
   Rosenwirth C., 2010, C INT GEST RIESG CRI
   Schiermeier Q, 2010, NATURE, V463, P284, DOI 10.1038/463284a
   Schwank Othmar., 2010, Insurance as an adaptation option under UNFCCC
   Semerari A., 2010, C INT GEST RIESG CRI
   Skees J.R., 1999, REGULATION, V22, P5
   Skees J.R., 2008, Agricultural Insurance Background and Context for Climate Adaptation Discussions
   Skees J.R., 2005, INNOVATIONS GOVT RES
   [Solomon S. IPCC. IPCC.], 2007, Intergovernmental Panel on Climate Change, V4, P213
   Stern N., 2009, GLOBAL DEAL
   Tsuji G.Y., 1994, DSSAT Version 3
   Turvey C. G., 2001, Review of Agricultural Economics, V23, P333, DOI 10.1111/1467-9353.00065
   Ward RET, 2008, GENEVA PAP R I-ISS P, V33, P133, DOI 10.1057/palgrave.gpp.2510153
NR 84
TC 9
Z9 10
U1 0
U2 4
PU EDWARD ELGAR PUBLISHING LTD
PI CHELTENHAM
PA THE LYPIATTS, 15 LANSDOWN RD, CHELTENHAM GL50 2JA, GLOS, ENGLAND
BN 978-1-84980-116-4
PY 2011
BP 420
EP 445
PG 26
WC Agriculture, Multidisciplinary; Environmental Sciences
WE Book Citation Index – Science (BKCI-S)
SC Agriculture; Environmental Sciences & Ecology
GA BZB32
UT WOS:000300991900019
DA 2025-01-10
ER

PT J
AU Finan, TJ
   West, CT
   Austin, D
   McGuire, T
AF Finan, TJ
   West, CT
   Austin, D
   McGuire, T
TI Processes of adaptation to climate variability: a case study from the US
   Southwest
SO CLIMATE RESEARCH
LA English
DT Article
DE climate variability; climate vulnerability; US Southwest; livelihood;
   adaptation
ID VULNERABILITY; DROUGHT
AB The nature of adaptation to climate variability in the Southwest US is explored using the Middle San Pedro River Valley in southern Arizona as a case study. An integrated vulnerability assessment focuses on the dynamic interaction of natural climatic and hydrological systems with socio-economic systems, This approach reveals that residents in the study region do not perceive short-term or long-term vulnerability to climate variability or climate change. The paper uses an ethnographic field approach to examine the. technical and organizational factors that constitute the adaptation process and reduce vulnerability to climate in the valley, It concludes by discussing the potential dangers of ignoring climate in a rapidly growing, semi-arid environment.
C1 Univ Arizona, Tucson, AZ 85721 USA.
C3 University of Arizona
RP Univ Arizona, Emil Haury Anthropol Bldg,Rm 221A,POB 210030, Tucson, AZ 85721 USA.
EM finan@u.arizona.edu
OI Finan, Timothy/0000-0003-0172-6607
CR Adams DK, 1997, B AM METEOROL SOC, V78, P2197, DOI 10.1175/1520-0477(1997)078<2197:TNAM>2.0.CO;2
   Adger W. N., 1999, Mitig Adapt Strateg Glob Change, V4, P253, DOI [10.1023/A:1009601904210, DOI 10.1023/A:1009601904210]
   *ADWR, 1991, HYDR SURV REP SAN PR, V1
   Applegate D, 2000, GEOTIMES, V45, P2, DOI 10.1016/S0167-4048(00)86355-5
   Bahre C.J., 1991, A Legacy of Change: Historic Human Impact on Vegetation in the Arizona Borderlands
   BAILEY WC, 1990, UNPUB BENSON CANAL C
   BEEBE J, 1995, HUM ORGAN, V54, P42, DOI 10.17730/humo.54.1.k84tv883mr2756l3
   BLAIKIE P, 1994, RISK NTURAL HAZARDS
   BOHLE HG, 1994, GLOBAL ENVIRON CHANG, V4, P37, DOI 10.1016/0959-3780(94)90020-5
   Bolin R., 1999, The angry earth: Disasters in anthropological perspective, P89
   BROOKS E, 1995, REGIONS RISK COMP TH, P255
   Bryant CR, 2000, CLIMATIC CHANGE, V45, P181, DOI 10.1023/A:1005653320241
   Burton I, 1997, CLIMATIC CHANGE, V36, P185, DOI 10.1023/A:1005334926618
   Burton I., 1978, ENV HAZARD, V1st
   CHRONIC H, 1998, ROADSIDE GEOLOGY
   *COCH COUNT COOP E, 1997, COCH COUNT AGR
   CONLEY J, 1999, CL399 CLIMAS U AR
   CORBETT J, 1988, WORLD DEV, V16, P1099, DOI 10.1016/0305-750X(88)90112-X
   Davies S., 1996, ADAPTABLE LIVELIHOOD
   Easterling WE, 1997, GLOBAL ENVIRON CHANG, V7, P337, DOI 10.1016/S0959-3780(97)00016-2
   Finan T.J., 1996, Transforming Societies, Transforming Anthropology, P301
   Finan TJ, 2001, CLIMATE RES, V19, P97, DOI 10.3354/cr019097
   FINAN TJ, 1999, CL300 CLIMAS U AR
   GOLNARAGHI M, 1995, ENVIRONMENT, V37, P16, DOI 10.1080/00139157.1995.9929210
   Kasperson R.E., 1995, REGIONS RISK, P1
   Kates R.W., 1985, CLIMATE IMPACT ASSES
   Kates RW, 2000, CLIMATIC CHANGE, V45, P5, DOI 10.1023/A:1005672413880
   Kelly PM, 2000, CLIMATIC CHANGE, V47, P325, DOI 10.1023/A:1005627828199
   LIVERMAN D, 1998, CLIMATE VARIABILITY
   Liverman DM, 1999, NAT RESOUR J, V39, P99
   MADDOCK T, 1998, MIDDLE SAN PEDRO RIV
   MCGUIRE T, 1999, GULF COAST COMMUNITI
   MOREHOUSE B, 1998, CLIMATE VARIABILITY
   Oliver-Smith A., 1999, ANGRY EARTH DISASTER, P18
   Reilly J, 2000, CLIMATIC CHANGE, V45, P253, DOI 10.1023/A:1005669807945
   Ribot JC, 1996, CLIMATE VARIABILITY, CLIMATE CHANGE AND SOCIAL VULNERABILITY IN THE SEMI-ARID TROPICS, P13, DOI 10.1017/CBO9780511608308.004
   Risbey J., 1999, Mitigation and Adaptation Strategies for Global Change, V4, P137, DOI DOI 10.1023/A:1009636607038
   SHEPPARD PR, 1999, CL199 CLIMAS U AR
   Sheridan ThomasE., 1996, Arizona: A History
   Smit B, 1996, CLIMATIC CHANGE, V33, P7, DOI 10.1007/BF00140511
   WARRICK RA, 1983, INTERPRETATIONS CALA, P67
   [Watson R.T. Intergovernmental Panel on Climate Change (IPCC) Intergovernmental Panel on Climate Change (IPCC)], 1997, REGIONAL IMPACTS CLI, DOI 10.1029/2007eo500004
   Watson RT, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, pIX
   Watts M., 1983, Silent violence: food, famine, and peasantry in northern Nigeria
   *WRCC, 1999, BENS TOMBST AR MONTH
   Yohe G, 2000, CLIMATIC CHANGE, V46, P371, DOI 10.1023/A:1005659629316
NR 46
TC 23
Z9 27
U1 1
U2 17
PU INTER-RESEARCH
PI OLDENDORF LUHE
PA NORDBUNTE 23, D-21385 OLDENDORF LUHE, GERMANY
SN 0936-577X
EI 1616-1572
J9 CLIM RES
JI Clim. Res.
PD JUL 16
PY 2002
VL 21
IS 3
BP 299
EP 310
DI 10.3354/cr021299
PG 12
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 592GH
UT WOS:000177928100008
OA Bronze
DA 2025-01-10
ER

PT J
AU Oh, S
   Choi, GS
   Kim, H
AF Oh, Sukjoon
   Choi, Gyeong-Seok
   Kim, Hyoungsub
TI Climate-Adaptive Building Envelope Controls: Assessing the Impact on
   Building Performance
SO SUSTAINABILITY
LA English
DT Article
DE movable BIPV shading; photovoltaic integrated shading device;
   climate-adaptive building envelope; solar energy potential; building
   energy efficiency; daylighting
ID ENERGY; SYSTEMS; SIMULATION
AB Pursuing innovations in sustainable architectural solutions, this study examines the impact of a climate-adaptive building envelope with dynamic photovoltaic integrated shading devices (PVSDs) on building performance. A major challenge in designing PVSDs is the lack of established guidelines for geometry and operations. We delve into the complexities and potential benefits of integrating dynamic PVSD designs into building performance simulations, particularly considering their time-varying geometric and operational aspects. This research assesses a range of similar PVSD design options with differing patterns, emphasizing their effects on solar energy potential, daylighting, and thermal efficiency. We conducted tests on south-oriented PVSDs (featuring two-axis rotation) in Houston, Texas, focusing on variables such as panel count (4 or 36), rotation angle range, and operational patterns (synchronized or individual). Regarding solar potential, the four-panel synchronized PVSD option outperformed static shading by 2.1 times. For daylighting and thermal performance, the 36-panel synchronized option with a wide rotation range and the four-panel individual option proved superior to other PVSD configurations, improving up to an average of 36% (sDA300/50%) and 1.5 degrees C, respectively. Our findings emphasize the critical role of integrating geometric design and operational patterns in PVSDs for enhanced system effectiveness and highlight PVSD design and application limitations. Our findings emphasize the critical role of integrating geometric design and operational patterns in PVSDs for enhanced system effectiveness. Furthermore, they shed light on the limitations in the PVSD design process and practical applications.
C1 [Oh, Sukjoon; Choi, Gyeong-Seok] Korea Inst Civil Engn & Bldg Technol, Dept Bldg Energy Res, Goyang Si 10223, South Korea.
   [Kim, Hyoungsub] Inha Univ, Dept Architecture, 100 Inha ro, Incheon 22212, South Korea.
C3 Korea Institute of Civil Engineering & Building Technology (KICT); Inha
   University
RP Kim, H (corresponding author), Inha Univ, Dept Architecture, 100 Inha ro, Incheon 22212, South Korea.
EM sukjoonoh@kict.re.kr; bear717@kict.re.kr; hyskim@inha.ac.kr
RI Oh, Sukjoon/AAG-7137-2020
FU Ministry of Science, ICT and Future Planning
FX No Statement Available
CR Abdullah HK, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9112096
   Ahmed A, 2022, ENERG BUILDINGS, V256, DOI 10.1016/j.enbuild.2021.111755
   [Anonymous], 2010, Standard 55-2010
   [Anonymous], 2013, LEED: Reference Guide for Homes: Design and Construction
   Assoa YB, 2017, SOL ENERGY, V155, P1289, DOI 10.1016/j.solener.2017.07.066
   Bahr W, 2014, ENERG BUILDINGS, V82, P703, DOI 10.1016/j.enbuild.2014.07.065
   Corti P, 2023, ENERGIES, V16, DOI 10.3390/en16145542
   Crawley DB, 2001, ENERG BUILDINGS, V33, P319, DOI 10.1016/S0378-7788(00)00114-6
   Dehwah AHA, 2023, J BUILD ENG, V63, DOI 10.1016/j.jobe.2022.105535
   Deru M, 2011, U.S. Department of Energy commercial reference building models of the national building stock
   Feng W, 2019, RENEW SUST ENERG REV, V114, DOI 10.1016/j.rser.2019.109303
   Fiorito F, 2016, RENEW SUST ENERG REV, V55, P863, DOI 10.1016/j.rser.2015.10.086
   Heschong L., 2012, Approved Method: IES Spatial Daylight Autonomy (sDA) and Annual Sunlight Exposure (ASE) (No. 978-0-87995-272-3)
   Hofer J, 2016, ENERGY SCI ENG, V4, P134, DOI 10.1002/ese3.115
   iea, IEA: Tracking Buildings
   Jayathissa P, 2017, APPL ENERG, V202, P726, DOI 10.1016/j.apenergy.2017.05.083
   Kim H, 2020, BUILD ENVIRON, V185, DOI 10.1016/j.buildenv.2020.107292
   Kim H, 2015, ECAADE 2015: REAL TIME - EXTENDING THE REACH OF COMPUTATION, VOL 1, P657
   Kirimtat A, 2022, BUILD ENVIRON, V214, DOI 10.1016/j.buildenv.2022.108961
   Lee J, 2018, APPL ENERG, V221, P425, DOI 10.1016/j.apenergy.2018.03.083
   Liu JY, 2023, J BUILD ENG, V69, DOI 10.1016/j.jobe.2023.106101
   Loonen RCGM, 2013, RENEW SUST ENERG REV, V25, P483, DOI 10.1016/j.rser.2013.04.016
   Loonen RCGM, 2017, J BUILD PERFORM SIMU, V10, P205, DOI 10.1080/19401493.2016.1152303
   Mandalaki M, 2014, ENERG BUILDINGS, V77, P445, DOI 10.1016/j.enbuild.2014.03.046
   McNeel R., 2013, Grasshopper: algorithmic modeling for rhino
   Mesloub A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su122310145
   Mesloub A, 2020, APPL SCI-BASEL, V10, DOI 10.3390/app10227959
   Nagy Z, 2016, FRONT ARCHIT RES, V5, P143, DOI 10.1016/j.foar.2016.03.002
   Noorzai E, 2023, ARCHIT ENG DES MANAG, V19, P394, DOI 10.1080/17452007.2022.2080173
   Omrany H, 2022, ENERG BUILDINGS, V262, DOI 10.1016/j.enbuild.2022.111996
   Paydar MA, 2020, SUSTAIN CITIES SOC, V62, DOI 10.1016/j.scs.2020.102368
   REN21, 2018, Renewables 2018 Global Status Report
   Rutten D, 2013, ARCHIT DESIGN, V83, P132, DOI 10.1002/ad.1568
   Santamouris M., 2021, E-Prime Adv. Electr. Eng. Electron. Energy, V1, P100002, DOI [10.1016/J.PRIME.2021.100002, DOI 10.1016/J.PRIME.2021.100002, 10.1016/j.prime.2021.100002]
   Shi SH, 2022, ENERGIES, V15, DOI 10.3390/en15239196
   Skandalos N, 2021, APPL ENERG, V295, DOI 10.1016/j.apenergy.2021.117017
   Svetozarevic B, 2019, NAT ENERGY, V4, P671, DOI 10.1038/s41560-019-0424-0
   Taser A, 2023, SOL ENERGY, V251, P171, DOI 10.1016/j.solener.2022.12.039
   Verma A, 2019, IEEE SENS J, V19, P9036, DOI 10.1109/JSEN.2019.2922409
   Vlachokostas A, 2016, ENERG BUILDINGS, V122, P140, DOI 10.1016/j.enbuild.2016.04.022
   Wei W, 2021, RENEW SUST ENERG REV, V142, DOI 10.1016/j.rser.2021.110859
   Zhang X, 2018, SOL ENERGY, V170, P947, DOI 10.1016/j.solener.2018.05.067
NR 42
TC 1
Z9 1
U1 8
U2 22
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JAN
PY 2024
VL 16
IS 1
AR 288
DI 10.3390/su16010288
PG 16
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA ER7I6
UT WOS:001140712000001
OA gold
DA 2025-01-10
ER

PT J
AU Kim, H
   Clayton, MJ
AF Kim, Hyoungsub
   Clayton, Mark J.
TI A multi-objective optimization approach for climate-adaptive building
   envelope design using parametric behavior maps
SO BUILDING AND ENVIRONMENT
LA English
DT Article
DE Parametric behavior map (PBM); Climate-adaptive kinetic facade; Multi
   objective optimization (MOO); Building energy; Daylighting; Dynamic
   operations schedule
ID THERMAL COMFORT; SHADING DEVICES; ENERGY; OFFICE; PERFORMANCE;
   SIMULATION; ALGORITHM; STRATEGIES; IMPACT
AB This research presents a multi-objective optimization (MOO) framework to support the climate-adaptive building envelope (CABE) design decisionmaking process using a parametric behavior map (PBM). Unlike static shading, CABE systems include dynamic operations that significantly affect their performance; thus, well-informed strategies for scheduling dynamic operations should be integrated to analyze CABE performance. In this study, two conflicting objectives were pursued: minimizing cooling load and maximizing daylighting performance during the summer season in a hot and humid climate (Houston, Texas). Variables in the CABE performance optimization process were defined as dynamic operation schedules having either parametric linear or non-linear relationships between the degree of openness of the CABE model and certain weather stimuli (i.e., solar radiation). Two CABE models were tested with the PBM by integrating a parametric non-linear function that efficiently conducted the optimization process in a large search space. The outcomes of this optimization study included Pareto-front solutions such as optimal CABE performance and their dynamic operation scenarios. These optimal operation scenarios were determined based on the CABE design options available and user's desired objectives; in some cases, static scenarios were found to be superior. Ultimately, combining PBM with a MOO framework will contribute to the field of performance-based CABE design by supporting architects and engineers and facilitating better decisions through well-informed dynamic operation scenarios.
C1 [Kim, Hyoungsub] Calif State Univ Sacramento, Dept Design, 6000 J St,Mariposa Hall 2009,MS 6137, Sacramento, MS 95819 USA.
   [Clayton, Mark J.] Texas A&M Univ, Dept Architecture, 3137 TAMU, College Stn, TX 77843 USA.
C3 California State University System; California State University
   Sacramento; Texas A&M University System; Texas A&M University College
   Station
RP Kim, H (corresponding author), Calif State Univ Sacramento, Dept Design, 6000 J St,Mariposa Hall 2009,MS 6137, Sacramento, MS 95819 USA.
EM h.kim@csus.edu; mark-clayton@tamu.edu
OI Kim, Hyoungsub/0000-0002-9181-3714
CR Aelenei D, 2016, ENRGY PROCED, V91, P269, DOI 10.1016/j.egypro.2016.06.218
   Al-Masrani SM, 2019, AUTOMAT CONSTR, V102, P195, DOI 10.1016/j.autcon.2019.01.014
   Alva M, 2020, SOL ENERGY, V197, P385, DOI 10.1016/j.solener.2020.01.012
   [Anonymous], 2009, GRASSHOPPER ALGORITH
   [Anonymous], 2011, US DEP ENERGY COMMER
   [Anonymous], 1999, Evolutionary algorithms for multiobjective optimization: methods and applications
   Attia S, 2013, ENERG BUILDINGS, V60, P110, DOI 10.1016/j.enbuild.2013.01.016
   Atzeri A, 2014, ENRGY PROCED, V45, P463, DOI 10.1016/j.egypro.2014.01.050
   Bader J, 2011, EVOL COMPUT, V19, P45, DOI 10.1162/EVCO_a_00009
   Bunning ME, 2016, BUILD ENVIRON, V104, P275, DOI 10.1016/j.buildenv.2016.05.009
   Carlucci S, 2015, ENERG BUILDINGS, V104, P378, DOI 10.1016/j.enbuild.2015.06.064
   Corne D.W., 2000, Lecture Notes in Computer Science
   Crawley DB, 2001, ENERG BUILDINGS, V33, P319, DOI 10.1016/S0378-7788(00)00114-6
   Deb K., 2000, Parallel Problem Solving from Nature PPSN VI. 6th International Conference. Proceedings (Lecture Notes in Computer Science Vol.1917), P849
   Elkhateeb AM, 2018, ALEX ENG J, V57, P4145, DOI 10.1016/j.aej.2018.10.016
   Erickson James., 2013, Envelope as Climate Negotiator: Evaluating adaptive building envelope's capacity to moderate indoor climate and energy
   Ferrari Serge, 2014, GARD BAY SOLT 92 RET
   Fox MA, 2000, MANAGING INTERACTIONS IN SMART ENVIRONMENTS, P91
   Han YL, 2017, APPL ENERG, V185, P1556, DOI 10.1016/j.apenergy.2015.10.170
   Heschong L., 2012, Approved Method: IES Spatial Daylight Autonomy (sDA) and Annual Sunlight Exposure (ASE) (No. 978-0-87995-272-3)
   Hosseini SM, 2019, BUILD ENVIRON, V165, DOI 10.1016/j.buildenv.2019.106396
   Hosseini SM, 2019, BUILD ENVIRON, V153, P186, DOI 10.1016/j.buildenv.2019.02.040
   Jaimes AntonioL'opez., 2009, OPTIMIZATION POLYM P, P29
   Jayathissa P, 2018, AUTOMAT CONSTR, V93, P339, DOI 10.1016/j.autcon.2018.05.013
   Jayathissa P, 2017, APPL ENERG, V202, P726, DOI 10.1016/j.apenergy.2017.05.083
   Juaristi M, 2018, BUILD ENVIRON, V144, P482, DOI 10.1016/j.buildenv.2018.08.028
   Kim H., 2020, ENERGY BUILD
   Kim H, 2019, BUILD ENVIRON, V148, P116, DOI 10.1016/j.buildenv.2018.10.055
   Kim H, 2015, ECAADE 2015: REAL TIME - EXTENDING THE REACH OF COMPUTATION, VOL 1, P657
   Lee ES, 2007, BUILD ENVIRON, V42, P2439, DOI 10.1016/j.buildenv.2006.04.016
   Linn Charles., 2014, Kinetic architecture: design for active envelopes
   Loonen RCGM, 2017, J BUILD PERFORM SIMU, V10, P205, DOI 10.1080/19401493.2016.1152303
   Machairas V, 2014, RENEW SUST ENERG REV, V31, P101, DOI 10.1016/j.rser.2013.11.036
   Manzan M, 2015, ADV BUILD ENERGY RES, V9, P238, DOI 10.1080/17512549.2015.1014839
   Marler RT, 2010, STRUCT MULTIDISCIP O, V41, P853, DOI 10.1007/s00158-009-0460-7
   Megahed NA, 2017, ARCHIT ENG DES MANAG, V13, P130, DOI 10.1080/17452007.2016.1203676
   Nielsen MV, 2011, SOL ENERGY, V85, P757, DOI 10.1016/j.solener.2011.01.010
   Oborn P., 2012, AL BAHR TOWERS ABU D
   Payne AO, 2013, ARCHIT DESIGN, V83, P144, DOI 10.1002/ad.1573
   Poirazis H, 2008, ENERG BUILDINGS, V40, P1161, DOI 10.1016/j.enbuild.2007.10.011
   Reichert S, 2015, COMPUT AIDED DESIGN, V60, P50, DOI 10.1016/j.cad.2014.02.010
   Roudsari MS, 2013, BUILDING SIMULATION 2013: 13TH INTERNATIONAL CONFERENCE OF THE INTERNATIONAL BUILDING PERFORMANCE SIMULATION ASSOCIATION, P3128
   Shen H, 2012, SOL ENERGY, V86, P681, DOI 10.1016/j.solener.2011.11.016
   Shin M, 2019, ENERG BUILDINGS, V203, DOI 10.1016/j.enbuild.2019.109429
   Shukla PK, 2005, LECT NOTES COMPUT SC, V3410, P311
   Skarning GCJ, 2017, ENERG BUILDINGS, V135, P302, DOI 10.1016/j.enbuild.2016.11.053
   Sung D.K., 2013, METAL BREATHES
   Tabadkani A, 2020, BUILD ENVIRON, V175, DOI 10.1016/j.buildenv.2020.106801
   Tang YC, 2017, ADV MATER, V29, DOI 10.1002/adma.201604262
   Taveres-Cachat E, 2019, BUILD ENVIRON, V149, P446, DOI 10.1016/j.buildenv.2018.12.045
   Tzempelikos A, 2013, BUILD ENVIRON, V67, P179, DOI 10.1016/j.buildenv.2013.05.016
   USGBC, LEED REF GUID BUILD, V4
   van Moeseke G, 2007, BUILD ENVIRON, V42, P784, DOI 10.1016/j.buildenv.2005.09.015
   Vierlinger R, 2014, ACADIA 2014: DESIGN AGENCY, P609
   Vlachokostas A, 2016, ENERG BUILDINGS, V122, P140, DOI 10.1016/j.enbuild.2016.04.022
   WARD GJ, 1988, J ILLUM ENG SOC, V17, P80, DOI 10.1080/00994480.1988.10748710
   Yi YK, 2015, SOL ENERGY, V113, P236, DOI 10.1016/j.solener.2014.11.007
   Yi YK, 2009, AUTOMAT CONSTR, V18, P825, DOI 10.1016/j.autcon.2009.03.006
   Zitzler E, 1999, IEEE T EVOLUT COMPUT, V3, P257, DOI 10.1109/4235.797969
   Zitzler E, 2001, SPEA2 IMPROVING STRE
   Zuo J, 2014, RENEW SUST ENERG REV, V30, P271, DOI 10.1016/j.rser.2013.10.021
NR 61
TC 59
Z9 61
U1 10
U2 69
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0360-1323
EI 1873-684X
J9 BUILD ENVIRON
JI Build. Environ.
PD NOV
PY 2020
VL 185
AR 107292
DI 10.1016/j.buildenv.2020.107292
PG 11
WC Construction & Building Technology; Engineering, Environmental;
   Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA OD5RQ
UT WOS:000579911400040
OA hybrid
DA 2025-01-10
ER

PT J
AU Dreiss, LM
   Lacey, LM
   Weber, TC
   Delach, A
   Niederman, TE
   Malcom, JW
AF Dreiss, Lindsay M.
   Lacey, L. Mae
   Weber, Theodore C.
   Delach, Aimee
   Niederman, Talia E.
   Malcom, Jacob W.
TI Targeting current species ranges and carbon stocks fails to conserve
   biodiversity in a changing climate: opportunities to support climate
   adaptation under 30 x 30
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE climate refugia; climate corridors; protected areas; biodiversity
   conservation; carbon mitigation
ID REFUGIA; EXTINCTION; VELOCITY; FUTURE; AREAS
AB Protecting areas for climate adaptation will be essential to ensuring greater opportunity for species conservation well into the future. However, many proposals for protected areas expansion focus on our understanding of current spatial patterns, which may be ineffective surrogates for future needs. A science-driven call to address the biodiversity and climate crises by conserving at least 30% of lands and waters by 2030, 30 x 30, presents new opportunities to inform the siting of new protections globally and in the US. Here we identify climate refugia and corridors based on a weighted combination of currently available models; compare them to current biodiversity hotspots and carbon-rich areas to understand how 30 x 30 protections siting may be biased by data omission; and compare identified refugia and corridors to the protected areas database to assess current levels of protection. Available data indicate that 20.5% and 27.5% of identified climate adaptation areas (refugia and/or corridor) coincides with current imperiled species hotspots and carbon-rich areas, respectively. With only 12.5% of climate refugia and corridors protected, a continued focus on current spatial patterns in species and carbon richness will not inherently conserve places critical for climate adaptation. However, there is ample opportunity for establishing future-minded protections: 52% of the contiguous US falls into the top quartile of values for at least one class of climate refugia. Nearly 27% is already part of the protected areas network but managed for multiple uses that may limit their ability to contribute to the goals of 30 x 30. Additionally, nearly two-thirds of nationally identified refugia coincide with ecoregion-specific refugia suggesting representation of nearly all ecoregions in national efforts focused on conserving climate refugia. Based on these results, we recommend that land planners and managers make more explicit policy priorities and strategic decisions for future-minded protections and climate adaptation.
C1 [Dreiss, Lindsay M.; Lacey, L. Mae; Niederman, Talia E.; Malcom, Jacob W.] Defenders Wildlife, Ctr Conservat Innovat, 1130 17th St NW, Washington, DC 20036 USA.
   [Weber, Theodore C.; Delach, Aimee] Defenders Wildlife, Dept Landscape Conservat, 1130 17th St NW, Washington, DC 20036 USA.
RP Dreiss, LM (corresponding author), Defenders Wildlife, Ctr Conservat Innovat, 1130 17th St NW, Washington, DC 20036 USA.
EM lrosa@defenders.org
RI Malcom, Jacob/AAD-1873-2020
CR Ackerly DD, 2010, DIVERS DISTRIB, V16, P476, DOI 10.1111/j.1472-4642.2010.00654.x
   AdaptWest Project, 2015, GRIDD CLIM VEL DAT N
   American Farmland Trust, 2021, AGR ROL 30 30 PARTNE
   [Anonymous], The Nature Conservancy 2024 2023 Annual Report
   [Anonymous], United Nations Environment Program - Convencao para a diversidade biologica
   Ashcroft MB, 2010, J BIOGEOGR, V37, P1407, DOI 10.1111/j.1365-2699.2010.02300.x
   Baldwin RF, 2018, BIOSCIENCE, V68, P60, DOI 10.1093/biosci/bix142
   Bekessy SA, 2008, CONSERV BIOL, V22, P510, DOI 10.1111/j.1523-1739.2008.00943.x
   Belote RT, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-27721-6
   Belote RT, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0154223
   Biden JR, 2021, Federal Register
   Buotte PC, 2020, ECOL APPL, V30, DOI 10.1002/eap.2039
   Bureau of Indian Affairs (BIA), 2018, NAT CLIM ASS IND PEO
   Büscher B, 2017, ORYX, V51, P407, DOI 10.1017/S0030605316001228
   Carroll C, 2021, GLOBAL CHANGE BIOL, V27, P3395, DOI 10.1111/gcb.15645
   Carroll C, 2018, GLOBAL CHANGE BIOL, V24, P5318, DOI 10.1111/gcb.14373
   Carroll C, 2017, GLOBAL CHANGE BIOL, V23, P4508, DOI 10.1111/gcb.13679
   Congressional Research Service (CRS), 2021, FED LANDS REL RES OV
   Cushman SA, 2009, CONSERV BIOL, V23, P368, DOI 10.1111/j.1523-1739.2008.01111.x
   Dickson BG, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0081898
   Dinerstein E, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aaw2869
   Dinerstein E, 2017, BIOSCIENCE, V67, P534, DOI 10.1093/biosci/bix014
   Distler T, 2015, J BIOGEOGR, V42, P976, DOI 10.1111/jbi.12479
   Dreiss LM, 2022, CONSERV LETT, V15, DOI 10.1111/conl.12849
   Elsen PR, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aay0814
   Environmental Protection Agency (EPA) United States, 2006, EC N AM
   Fei SL, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1603055
   Franks SJ, 2012, ANNU REV GENET, V46, P185, DOI 10.1146/annurev-genet-110711-155511
   Garibaldi LA, 2021, CONSERV LETT, V14, DOI 10.1111/conl.12773
   Gray CL, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms12306
   Groves CR, 2012, BIODIVERS CONSERV, V21, P1651, DOI 10.1007/s10531-012-0269-3
   Hamann A, 2015, GLOBAL CHANGE BIOL, V21, P997, DOI 10.1111/gcb.12736
   Jenkins CN, 2015, P NATL ACAD SCI USA, V112, P5081, DOI 10.1073/pnas.1418034112
   Keppel G, 2012, GLOBAL CHANGE BIOL, V18, P2389, DOI 10.1111/j.1365-2486.2012.02729.x
   Kraus D, 2020, BIODIVERS CONSERV, V29, P3573, DOI 10.1007/s10531-020-02038-x
   Krawchuk MA, 2020, FRONT ECOL ENVIRON, V18, P235, DOI 10.1002/fee.2190
   Lariviere Vincent, 2013, Nature, V504, P211
   Lee-Ashley M., 2019, GREEN SQUEEZE
   Lewis KE, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0210878
   Littlefield CE, 2017, CONSERV BIOL, V31, P1397, DOI 10.1111/cobi.12938
   Locke H., 2013, Parks, V19, P9
   Lookingbill TR, 2010, ECOL APPL, V20, P427, DOI 10.1890/09-0073.1
   Maxwell SL, 2020, NATURE, V586, P217, DOI 10.1038/s41586-020-2773-z
   McClure ML, 2016, LANDSCAPE ECOL, V31, P1419, DOI 10.1007/s10980-016-0347-0
   McGuire JL, 2016, P NATL ACAD SCI USA, V113, P7195, DOI 10.1073/pnas.1602817113
   McKenney DW, 2011, GLOBAL CHANGE BIOL, V17, P2720, DOI 10.1111/j.1365-2486.2011.02413.x
   Mclaughlin BC, 2017, GLOBAL CHANGE BIOL, V23, P2941, DOI 10.1111/gcb.13629
   Melillo JM, 2016, AMBIO, V45, P133, DOI 10.1007/s13280-015-0693-1
   Michalak JL, 2020, FRONT ECOL ENVIRON, V18, P254, DOI 10.1002/fee.2207
   Michalak JL, 2018, CONSERV BIOL, V32, P1414, DOI 10.1111/cobi.13130
   Monzón J, 2011, BIOSCIENCE, V61, P752, DOI 10.1525/bio.2011.61.10.5
   Morelli TL, 2020, FRONT ECOL ENVIRON, V18, P228, DOI 10.1002/fee.2189
   Morelli TL, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0159909
   Myers N, 2000, NATURE, V403, P853, DOI 10.1038/35002501
   National Academy of Sciences Engineering and Medicine (NASEM), 2016, REV LANDSC CONS COOP, DOI [10.17226/21829, DOI 10.17226/21829]
   National Fish Wildlife and Plants Climate Adaptation Network, 2021, ADV NAT FISH WILDL P
   Neilson RP, 2005, BIOSCIENCE, V55, P749, DOI 10.1641/0006-3568(2005)055[0749:FRTGPM]2.0.CO;2
   Parks SA, 2020, GLOBAL CHANGE BIOL, V26, P2944, DOI 10.1111/gcb.15009
   Portner H, IPBES IPCC COSPONSOR, DOI [10.5281/zenodo.4782538, DOI 10.5281/ZENODO.4782538, 10.5281/zenodo.4782538.2021, DOI 10.5281/ZENODO.4782538.2021]
   Román-Palacios C, 2020, P NATL ACAD SCI USA, V117, P4211, DOI 10.1073/pnas.1913007117
   Rudd LF, 2021, P ROY SOC B-BIOL SCI, V288, DOI 10.1098/rspb.2021.1871
   Saxon Earl, 2008, BIODIVERSITY-OTTAWA, V9, P5
   Scott JM, 2001, ECOL APPL, V11, P999, DOI 10.2307/3061007
   Simmons B. A., 2021, DELIVERING BIDENS 20, DOI [10.1101/2021.02.28.433244, DOI 10.1101/2021.02.28.433244]
   Soto-Navarro C, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0128
   Stolton S, 2015, PROTECTED AREA GOVERNANCE AND MANAGEMENT, P145
   Stralberg D, 2020, CONSERV LETT, V13, DOI 10.1111/conl.12712
   Stralberg D, 2020, FRONT ECOL ENVIRON, V18, P261, DOI 10.1002/fee.2188
   Stralberg D, 2018, GLOBAL ECOL BIOGEOGR, V27, P690, DOI 10.1111/geb.12731
   Strassburg BBN, 2010, CONSERV LETT, V3, P98, DOI 10.1111/j.1755-263X.2009.00092.x
   Theoharides K, 2014, SEEDS RESILIENCE SAF
   US Departments of Interior (DOI), AGR COMM COUNC ENV Q
   US Fish and Wildlife Service (USFWS) and Association of Fish and Wildlife Agencies (AFWA), 2017, GUID WILDL ACT PLAN
   US Geological Survey (USGS) Gap Analysis Project (GAP), 2020, Protected Areas Database of the United States (PAD-US) 2.1: US Geological Survey Data Release
   Venter O, 2018, CONSERV BIOL, V32, P127, DOI 10.1111/cobi.12970
   Vose R. S., 2017, Climate Science Special Report: Fourth National Climate Assessment, VI, P185, DOI DOI 10.7930/J0N29V45
   Wiens JJ, 2016, PLOS BIOL, V14, DOI 10.1371/journal.pbio.2001104
   Worsdell T., 2020, RIGHTS BASED CONSERV
   Wuebbles D. J., 2017, Climate science special report: Fourth national climate assessment, VI
NR 79
TC 7
Z9 7
U1 5
U2 49
PU IOP Publishing Ltd
PI BRISTOL
PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
SN 1748-9326
J9 ENVIRON RES LETT
JI Environ. Res. Lett.
PD FEB 1
PY 2022
VL 17
IS 2
AR 024033
DI 10.1088/1748-9326/ac4f8c
PG 13
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA YX4EN
UT WOS:000754058800001
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Karrasch, L
   Klenke, T
   Woltjer, J
AF Karrasch, Leena
   Klenke, Thomas
   Woltjer, Johan
TI Linking the ecosystem services approach to social preferences and needs
   in integrated coastal land use management - A planning approach
SO LAND USE POLICY
LA English
DT Article
DE North Sea; Climate adaptation; Participation; Ecosystem services; Social
   impact
ID STAKEHOLDER PARTICIPATION; ENVIRONMENTAL-MANAGEMENT; CLIMATE-CHANGE;
   CLASSIFICATION; FRAMEWORK; IMPACT
AB Coastal zones with their natural and societal sub-systems are exposed to rapid changes and pressures on resources. Scarcity of space and impacts of climate change are prominent drivers of land use and adaptation management today. Necessary modifications to present land use management strategies and schemes influence both the structures of coastal communities and the ecosystems involved. Approaches to identify the impacts and account for (i) the linkages between social preferences and needs and (ii) ecosystem services in coastal zones have been largely absent. The presented method focuses on improving the inclusion of ecosystem services in planning processes and clarifies the linkages with social impacts. In this study, fourteen stakeholders in decision-making on land use planning in the region of Krummhorn (northwestern Germany, southern North Sea coastal region) conducted a regional participative and informal process for local planning capable to adapt to climate driven changes. It is argued that scientific and practical implications of this integrated assessment focus on multi-functional options and contribute to more sustainable practices in future land use planning. The method operationalizes the ecosystem service approach and social impact analysis and demonstrates that social demands and provision of ecosystem services are inherently connected. (C) 2014 Elsevier Ltd. All rights reserved.
C1 [Karrasch, Leena; Klenke, Thomas] Carl von Ossietzky Univ Oldenburg, COAST Ctr Environm & Sustainabil Res, D-26111 Oldenburg, Germany.
   [Woltjer, Johan] Univ Groningen, Fac Spatial Sci, NL-9747 AD Groningen, Netherlands.
C3 Carl von Ossietzky Universitat Oldenburg; University of Groningen
RP Karrasch, L (corresponding author), Carl von Ossietzky Univ Oldenburg, COAST Ctr Environm & Sustainabil Res, POB 2503, D-26111 Oldenburg, Germany.
EM leena.karrasch@uni-oldenburg.de; j.woltjer@rug.nl
OI Woltjer, Johan/0000-0003-3179-6294; Karrasch, Leena/0000-0002-7722-1720;
   Klenke, Thomas/0000-0001-7190-8495
CR Ahlhorn F, 2009, LONG-TERM PERSPECTIVE IN COASTAL ZONE DEVELOPMENT: MULTIFUNCTIONAL COASTAL PROTECTION ZONES, P1, DOI 10.1007/978-3-642-01774-2
   [Anonymous], 2011, The UK National Ecosystem Assessment: Synthesis of the Key Findings
   [Anonymous], 2009, An introduction to qualitative research, DOI [DOI 10.1109/TVCG.2007.70541, 10.1109/TVCG.2007.70541]
   Baines J., 2003, INT HDB SOCIAL IMPAC, P26
   Bell S, 2012, J ENVIRON MANAGE, V101, P13, DOI 10.1016/j.jenvman.2012.02.004
   Beniston M, 2007, CLIMATIC CHANGE, V81, P71, DOI 10.1007/s10584-006-9226-z
   Bishop P, 2007, FORESIGHT, V9, P5, DOI 10.1108/14636680710727516
   Bogner A, 2009, RES METHODS SER, P1, DOI 10.1057/9780230244276
   Bormann H, 2012, J HYDROL, V454, P64, DOI 10.1016/j.jhydrol.2012.05.063
   Bryson J.M., 2004, STRATEGIC PLANNING P
   Burdge R.J., 1999, COMMUNITY GUIDE SOCI
   Burdge R.J., 2003, IMPACT ASSESS PROJ A, V21, P84
   Carpenter SR, 2009, P NATL ACAD SCI USA, V106, P1305, DOI 10.1073/pnas.0808772106
   Chan KMA, 2012, BIOSCIENCE, V62, P744, DOI 10.1525/bio.2012.62.8.7
   Costanza R, 1997, NATURE, V387, P253, DOI 10.1038/387253a0
   Daily GC, 2008, P NATL ACAD SCI USA, V105, P9455, DOI 10.1073/pnas.0804960105
   de Groot RS, 2010, ECOL COMPLEX, V7, P260, DOI 10.1016/j.ecocom.2009.10.006
   de Groot RS, 2002, ECOL ECON, V41, P393, DOI 10.1016/S0921-8009(02)00089-7
   Díaz S, 2011, P NATL ACAD SCI USA, V108, P895, DOI 10.1073/pnas.1017993108
   Eden C.Ackermann., 1998, MAKING STRATEGY JOUR
   Esteves AM, 2012, IMPACT ASSESS PROJ A, V30, P34, DOI 10.1080/14615517.2012.660356
   European Union, 2012, CONFR SCARC MAN WAT
   Fish R., 2011, UK NATL ECOSYSTEM AS, P1183, DOI DOI 10.1016/j.ecolind.2013.01.013
   Fisher B, 2009, ECOL ECON, V68, P643, DOI 10.1016/j.ecolecon.2008.09.014
   Flannery W, 2012, SOC NATUR RESOUR, V25, P727, DOI 10.1080/08941920.2011.627913
   Freeman R. E., 1984, STRATEG MANAG
   Grabemann I, 2008, OCEAN DYNAM, V58, P199, DOI 10.1007/s10236-008-0141-x
   GREGORY R, 1994, MANAGE SCI, V40, P1035, DOI 10.1287/mnsc.40.8.1035
   Interorganizational Committee on Guidelines and Principles for Social Impact Assessment (Ed.), 1995, ENVIRON IMPACT ASSES, V15, P1
   Jacob D., 2008, 20441138UBAFB000969, V204, P41
   Katsman CA, 2011, CLIMATIC CHANGE, V109, P617, DOI 10.1007/s10584-011-0037-5
   LGLN, 2012, AUSZUG GEOBASISDATEN
   M.A. - Millennium Ecosystem Assessment, 2003, EC HUM WELL BEING FR
   Mietzner D., 2005, International Journal of Technology Intelligence and Planning, V1, P220, DOI 10.1504/IJTIP.2005.006516
   Nahlik AM, 2012, ECOL ECON, V77, P27, DOI 10.1016/j.ecolecon.2012.01.001
   Neef A, 2011, AGR HUM VALUES, V28, P179, DOI 10.1007/s10460-010-9272-z
   Nicholls RJ, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P315
   Österblom H, 2010, MAR POLICY, V34, P1290, DOI 10.1016/j.marpol.2010.05.007
   Pickaver A., 2010, OURCOAST INEGRATED C
   Pidgeon N, 2011, NAT CLIM CHANGE, V1, P35, DOI [10.1038/NCLIMATE1080, 10.1038/nclimate1080]
   Polasky S, 2011, TRENDS ECOL EVOL, V26, P398, DOI 10.1016/j.tree.2011.04.007
   Reed MS, 2008, BIOL CONSERV, V141, P2417, DOI 10.1016/j.biocon.2008.07.014
   Salter J, 2010, WIRES CLIM CHANGE, V1, P697, DOI 10.1002/wcc.73
   Schirmer J, 2011, NEW DIRECTIONS IN SOCIAL IMPACT ASSESSMENT: CONCEPTUAL AND METHODOLOGICAL ADVANCES, P171
   Slootweg R., 2001, Impact Assessment and Project Appraisal, V19, P19, DOI 10.3152/147154601781767186
   Vanclay F., 2003, Impact Assessment and Project Appraisal, V21, P5, DOI [DOI 10.3152/147154603781766491, 10.3152/147154603781766491 10.3152/147154603781766491, https://doi.org/10.3152/147154603781766491]
   Vanclay F., 2002, ENVIRON IMPACT ASSES, V22, P183, DOI [10.1016/S0195-9255(01)00105-6, DOI 10.1016/S0195-9255(01)00105-6]
   Vanclay F., 2003, INT HDB SOCIAL IMPAC, P1
   Vanclay F, 2012, OCEAN COAST MANAGE, V68, P149, DOI 10.1016/j.ocecoaman.2012.05.016
   Vanclay F, 2011, NEW DIRECTIONS IN SOCIAL IMPACT ASSESSMENT: CONCEPTUAL AND METHODOLOGICAL ADVANCES, P3
   Wallace KJ, 2007, BIOL CONSERV, V139, P235, DOI 10.1016/j.biocon.2007.07.015
   Woth K, 2006, OCEAN DYNAM, V56, P3, DOI 10.1007/s10236-005-0024-3
NR 53
TC 45
Z9 55
U1 1
U2 76
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0264-8377
EI 1873-5754
J9 LAND USE POLICY
JI Land Use Pol.
PD MAY
PY 2014
VL 38
BP 522
EP 532
DI 10.1016/j.landusepol.2013.12.010
PG 11
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA AG4XQ
UT WOS:000335424100049
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Ahmed, S
   Lutz, D
   Rapp, J
   Huish, R
   Dufour, B
   Brunelle, A
   Morelli, TL
   Stinson, K
   Warne, T
AF Ahmed, Selena
   Lutz, David
   Rapp, Joshua
   Huish, Ryan
   Dufour, Boris
   Brunelle, Autumn
   Morelli, Toni Lyn
   Stinson, Kristina
   Warne, Teresa
TI Climate change and maple syrup: Producer observations, perceptions,
   knowledge, and adaptation strategies
SO FRONTIERS IN FORESTS AND GLOBAL CHANGE
LA English
DT Article
DE Acer; maple; climate change; climate adaptation; Indigenous People
ID PERENNIAL CROPS; RESILIENCE; MANAGEMENT; FORESTS
AB IntroductionClimate change is impacting forest-based agricultural systems with implications for producer decision-making and livelihoods. This article presents a case study on the observations, perceptions, knowledge, and adaptation strategies of maple syrup producers in the United States to climate change. MethodsWe carried out two semi-structured surveys with maple producers on: (1) climate change and its impacts on the maple system (n = 106 participants); and (2) responses to climate adaptation scenarios (n = 98 participants). Additionally, we carried out two focus groups and key informant interviews (n = 70+) to understand barriers and opportunities for climate adaptation. One of these focus groups and follow up key informant interviews was with tribally affiliated community members with the intention to acknowledge Indigenous Peoples' voices, history, and relationships to the land. ResultsFindings highlight that most of the surveyed producers (89%) have experienced the negative impacts of climate on maple syrup production. While 40% of participants feel concerned regarding the future of the maple system, 39% feel hopeful, with significant differences based on the age of the surveyed producers. The majority of producers have adapted their harvesting practices to climate effects. Producers shared knowledge of multiple adaptation strategies in response to climate scenarios comprised of: (1) stand management practices such as diversification of sap species tapped; (2) harvesting practices such as changing the type and number of taps; (3) sap processing practices focused on the integration of technology such as the use of an evaporator and reverse osmosis; and (4) marketing practices such as innovation of products and marketing different maple syrup characteristics. Responses shared by tribally affiliated producers highlight knowledge of multiple adaptation strategies that focus on long-term ecological management of forests rather than technological solutions. DiscussionOverall, findings emphasize the importance of cooperation and diversification at every level and dimension of the maple system for its long-term resilience.
C1 [Ahmed, Selena; Warne, Teresa] Montana State Univ, Dept Hlth & Human Dev, Bozeman, MT USA.
   [Ahmed, Selena] Amer Heart Assoc, Period Table Food Initiat, Dallas, TX USA.
   [Lutz, David; Brunelle, Autumn] Dartmouth Coll, Environm Studies Program, Hanover, NH 03755 USA.
   [Rapp, Joshua; Morelli, Toni Lyn; Stinson, Kristina] Univ Massachusetts, Dept Environm Conservat, Amherst, MA USA.
   [Rapp, Joshua; Stinson, Kristina] Harvard Univ, Harvard Forest, Petersham, MA USA.
   [Rapp, Joshua] Mass Audubon, Lincoln, MA USA.
   [Huish, Ryan] Univ Virginias Coll Wise, Dept Nat Sci, Wise, VA USA.
   [Dufour, Boris] Univ Quebec Rimouski, Dept Biol Chim & Geog, Rimouski, PQ, Canada.
   [Brunelle, Autumn] Monroe Cty Govt, Monroe Cty Pk & Recreat, Bloomington, IN USA.
   [Morelli, Toni Lyn] US Geol Survey, Northeast Climate Adaptat Sci Ctr, Amherst, MA USA.
C3 Montana State University System; Montana State University Bozeman;
   Dartmouth College; University of Massachusetts System; University of
   Massachusetts Amherst; Harvard University; University of Virginia;
   University of Quebec; Universite du Quebec a Rimouski; United States
   Department of the Interior; United States Geological Survey
RP Lutz, D (corresponding author), Dartmouth Coll, Environm Studies Program, Hanover, NH 03755 USA.
EM david.a.lutz@dartmouth.edu
RI Lutz, David/HMO-5504-2023
CR Ahmed S, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.00939
   Ahmed S, 2016, ELEMENTA-SCI ANTHROP, V4, P1, DOI 10.12952/journal.elementa.000092
   Ahmed S, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0109126
   Anderies JM, 2006, ECOL SOC, V11
   [Anonymous], 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Chevaun T., 2022, INDIGENOUS PERSPECTI
   Climate Adaptation Science Centers, 2015, MAPL SYR IND AD CLIM
   DNRC, 2023, MAPL SYR
   Duchesne L, 2009, FOREST ECOL MANAG, V258, P2683, DOI 10.1016/j.foreco.2009.09.035
   Durning A.T., 1992, Guardians of the land: indigenous peoples and the health of the earth
   Farrell M., 2009, AGROFORESTRY COMES A, P8
   Farrell M, 2013, AGROFOREST SYST, V87, P631, DOI 10.1007/s10457-012-9584-7
   Farrell ML, 2011, J AGRIC FOOD SYST CO, V2, P11, DOI 10.5304/jafscd.2012.022.009
   Feinerman E, 2014, AGR ECON-BLACKWELL, V45, P757, DOI 10.1111/agec.12120
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Ford JD, 2009, REG ENVIRON CHANGE, V9, P83, DOI 10.1007/s10113-008-0060-x
   Graf I, 2015, J R SOC INTERFACE, V12, DOI 10.1098/rsif.2015.0665
   Grimberg BI, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10051687
   Hinrichs C. C., 1995, Agriculture and Human Values, V12, P39, DOI 10.1007/BF02218073
   Hinrichs CC, 1998, RURAL SOCIOL, V63, P507, DOI 10.1111/j.1549-0831.1998.tb00690.x
   Horsley SB, 2002, NORTH J APPL FOR, V19, P34, DOI 10.1093/njaf/19.1.34
   Jose S, 2009, AGROFOREST SYST, V76, P1, DOI 10.1007/s10457-009-9229-7
   Kern CC, 2017, J FOREST, V115, P416, DOI 10.5849/jof.2016-092
   Kuhnlein HV, 1996, ANNU REV NUTR, V16, P417, DOI 10.1146/annurev.nu.16.070196.002221
   Leisner CP, 2020, PLANT SCI, V293, DOI 10.1016/j.plantsci.2020.110412
   Lobell DB, 2011, CLIMATIC CHANGE, V109, P317, DOI 10.1007/s10584-011-0303-6
   Lobell DB, 2011, SCIENCE, V333, P616, DOI [10.1126/science.1206376, 10.1126/science.1204531]
   Logan B., 2014, LAND REMEMBERS STORY
   Maddison DavidJ., 2007, PERCEPTION ADAPTATIO, DOI 10.1596/1813-9450-4308
   Mertz O, 2011, ATMOS SCI LETT, V12, P104, DOI 10.1002/asl.314
   NASS, 2019, US MAPL SYR PROD
   Nowak PJ, 2004, J SOIL WATER CONSERV, V59, p128A
   Perkins TD, 2009, ADV FOOD NUTR RES, V56, P101, DOI 10.1016/S1043-4526(08)00604-9
   Price T. J., 1999, J AGR RESOUR ECON, V24, P30874
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Rapp JM, 2019, FOREST ECOL MANAG, V448, P187, DOI 10.1016/j.foreco.2019.05.045
   Raza A, 2019, PLANTS-BASEL, V8, DOI 10.3390/plants8020034
   Saldana J., 2016, The coding manual for qualitative researchers, V3rd
   Smith E, 2019, J AGRIC FOOD SYST CO, V9, P191, DOI 10.5304/jafscd.2019.09B.011
   Statistics Canada, 2020, TABL 32 10 0354 01 P, DOI 10.25318/3210035401-eng
   Tendall DM, 2015, GLOB FOOD SECUR-AGR, V6, P17, DOI 10.1016/j.gfs.2015.08.001
   Thomas MatthewM., 2003, Michigan Academician, VXXXV, P135
   TYREE MT, 1983, PLANT PHYSIOL, V73, P277, DOI 10.1104/pp.73.2.277
   Wall Kimmerer R., 2013, Braiding Sweetgrass
   Whitney GG, 2004, FOREST ECOL MANAG, V200, P313, DOI 10.1016/j.foreco.2004.07.006
   Wilmot T., 2007, RESULTS 2007 TAPPING
NR 47
TC 5
Z9 6
U1 1
U2 17
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2624-893X
J9 FRONT FOR GLOB CHANG
JI Front. For. Glob. Change
PD MAR 2
PY 2023
VL 6
AR 1092218
DI 10.3389/ffgc.2023.1092218
PG 21
WC Ecology; Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Forestry
GA 9W5JL
UT WOS:000949113300001
OA gold
DA 2025-01-10
ER

PT C
AU Krüger, M
   Carros, F
   Ahmadi, M
   Leal, DD
   Brandt, M
   Wulf, V
AF Krueger, Max
   Carros, Felix
   Ahmadi, Michael
   Leal, Debora de Castro
   Brandt, Max
   Wulf, Volker
GP ACM
TI Understanding Forestry Practices to Support Climate Adaption
SO ADJUNCT PROCEEDINGS OF THE 12TH NORDIC CONFERENCE ON HUMAN-COMPUTER
   INTERACTION, NORDICHI 2022
LA English
DT Proceedings Paper
CT 12th Nordic Conference on Human-Computer Interaction (NordiCHI)
CY OCT 08-12, 2022
CL Aarhus Univ, Dep Comp Sci, Aarhus, DENMARK
SP Fac Arts, Fac Tech Sci, Stibo Fond, IT-Vest, DIREC
HO Aarhus Univ, Dep Comp Sci
DE sustainability; environmental stewardship; conservation; forests;
   forestry, climate
AB Forests and their management practices are under considerable pressure to adapt to a changing climate. This study reports on early results on the adaptation of forests and forestry practices in Europe. Our study confirms the social and situated nature of forestry and climate adaption and found that the absence of appropriate knowledge and the multi-actor nature of the forest are central challenges for the necessary adaptation. These challenges are well known to HCI research and resonate with approaches to knowledge management and participation of multiple actors in design. The forest however also challenges existing approaches in return. This makes the forest a site not just for urgent action to realise its role in climate mitigation, but also for the production of HCI knowledge.
C1 [Krueger, Max; Carros, Felix; Ahmadi, Michael; Leal, Debora de Castro; Wulf, Volker] Univ Siegen, Siegen, Germany.
   [Brandt, Max] Canton Bern, Bern, Switzerland.
C3 Universitat Siegen
RP Krüger, M (corresponding author), Univ Siegen, Siegen, Germany.
EM maximilian.krueger@uni-siegen.de; felix.carros@uni-siegen.de;
   michael.ahmadi@uni-siegen.de; debora_leal@yahoo.com; max_brandt@gmx.de;
   volker.wulf@uni-siegen.de
CR Ackerman M. S., 2013, CSCW, V22, P4, DOI DOI 10.1007/S10606-013-9192-8
   [Anonymous], 2005, Ecosystems and human wellbeing: synthesis
   Bardzell J, 2021, CHI '21: PROCEEDINGS OF THE 2021 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, DOI 10.1145/3411764.3445167
   Berglund Eeva, 2000, WORLDVIEWS ENV CULTU, V4, P47, DOI DOI 10.1163/156853500507726
   Braidotti R., 2016, Critical posthumanism and planetary futures, P13, DOI [DOI 10.1007/978-81-322-3637-52, DOI 10.1007/978-81-322-3637-5_2]
   Braidotti R, 2019, THEOR CULT SOC, V36, P31, DOI 10.1177/0263276418771486
   Braidotti Rosi., 2013, POSTHUMAN
   Bremer C, 2022, PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI' 22), DOI 10.1145/3491102.3517609
   Cabrera Andrea Botero, 2022, INTERACTIONS, V29, P48, DOI [10.1145/3501766, DOI 10.1145/3501766]
   Carrington Damian, 2022, GUARDIAN         MAR
   Clarke Rachel., 2019, Interactions, V26, P60, DOI DOI 10.1145/3319075
   Clarke Rachel, 2018, P 15 PART DES C SHOR, P1
   Coskun A, 2022, EXTENDED ABSTRACTS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2022, DOI 10.1145/3491101.3516503
   Costanza R, 1997, NATURE, V387, P253, DOI 10.1038/387253a0
   Costanza R, 2014, GLOBAL ENVIRON CHANG, V26, P152, DOI 10.1016/j.gloenvcha.2014.04.002
   de Castro Leal Debora, 2021, C&T '21: Proceedings of the 10th International Conference on Communities & Technologies - Wicked Problems in the Age of Tech, P269, DOI 10.1145/3461564.3461578
   de Koning J, 2014, SOC NATUR RESOUR, V27, P358, DOI 10.1080/08941920.2013.861557
   Dema T, 2020, PROCEEDINGS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'20), DOI 10.1145/3313831.3376713
   Dema T, 2019, CHI 2019: PROCEEDINGS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, DOI 10.1145/3290605.3300894
   DiSalvo C, 2010, CHI2010: PROCEEDINGS OF THE 28TH ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, VOLS 1-4, P1975
   Eichhorn Johannes, 2020, WALDZUSTANDSBERICHT
   European Commission. Joint Research Centre. European Commission, 2020, MAPPING ASSESSMENT E, DOI [10.2760/757183, DOI 10.2760/757183]
   European Energy Agenca EEA, 2021, EC THEIR SERV
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fischer G, 2007, INT J COMP-SUPP COLL, V2, P9, DOI 10.1007/s11412-007-9009-1
   Forlano L, 2017, SHE JI, V3, P16, DOI 10.1016/j.sheji.2017.08.001
   Hansson L, 2021, CHI '21: PROCEEDINGS OF THE 2021 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, DOI 10.1145/3411764.3445069
   Heitlinger S., 2018, Proceedings of the 15th Participatory Design Conference: Short Papers, Situated Actions, V2, P1, DOI [10.1145/3210604, DOI 10.1145/3210604]
   International Union for Conservation of Nature IUCN, 2021, FORESTS CLIMATE CHAN
   Joffe Helene, 2011, Qualitative research methods in mental health and psychotherapy: A guide for students and practitioners, P209, DOI [DOI 10.1007/978-981-10-5251-4103, 10.1007/978-981-10-2779-6_103-1, DOI 10.1037/13620-004]
   Kairu A, 2018, SOC NATUR RESOUR, V31, P74, DOI 10.1080/08941920.2017.1382628
   Lave J., 1991, SITUATED LEARNING LE, P89, DOI DOI 10.1017/CBO9780511815355
   Liu SY, 2018, DIS 2018: PROCEEDINGS OF THE 2018 DESIGNING INTERACTIVE SYSTEMS CONFERENCE, P777, DOI 10.1145/3196709.3196819
   Liu SY, 2019, CHI 2019: PROCEEDINGS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, DOI 10.1145/3290605.3300547
   Liu SY, 2019, TEI'19: PROCEEDINGS OF THE THIRTEENTH INTERNATIONAL CONFERENCE ON TANGIBLE, EMBEDDED, AND EMBODIED INTERACTION, P605, DOI 10.1145/3294109.3295653
   Mancini C, 2018, DIS 2018: PROCEEDINGS OF THE 2018 DESIGNING INTERACTIVE SYSTEMS CONFERENCE, P907, DOI 10.1145/3196709.3196785
   Moran S, 2014, 32ND ANNUAL ACM CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI 2014), P2387, DOI 10.1145/2556288.2557022
   MULNV NRW, 2021, WALD NRW STARTS
   MULNV-NRW, 2020, WALDZ 2020 BER OK ZU
   Muramatsu K, 2014, PROCEEDINGS OF THE 16TH ACM INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION WITH MOBILE DEVICES AND SERVICES (MOBILEHCI'14), P421, DOI 10.1145/2628363.2633570
   Scur S, 2022, PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI' 22), DOI 10.1145/3491102.3517518
   Seymour Frances, 2019, FORESTS IPCC SPECIAL
   Sieberth Lukas, 2014, INWERTSETZUNG OKOSYS
   Simard S., 2021, Finding the mother tree; Discovering the wisdom of the forest
   Six Silberman M., 2014, Interactions, V21, P66, DOI [DOI 10.1145/2651820, 10.1145/2651820]
   Suchman L. A., 1987, Plans and situated actions: The problem of human-machine communication
   Sudha Vasan Sudha Vasan, 2002, Economic and Political Weekly, V37, P4125
   Vitos M, 2017, CSCW'17: PROCEEDINGS OF THE 2017 ACM CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK AND SOCIAL COMPUTING, P1576, DOI 10.1145/2998181.2998242
   Wakkary R, 2021, DES THINK DES THEOR, P1
   Wohlleben Peter., 2016, The Hidden Life of Trees: What They Feel, How They Communicate: Discoveries from a Secret World
NR 50
TC 0
Z9 0
U1 0
U2 0
PU ASSOC COMPUTING MACHINERY
PI NEW YORK
PA 1601 Broadway, 10th Floor, NEW YORK, NY, UNITED STATES
BN 978-1-4503-9448-2
PY 2022
DI 10.1145/3547522.3547677
PG 6
WC Computer Science, Artificial Intelligence; Computer Science,
   Cybernetics; Computer Science, Interdisciplinary Applications
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Computer Science
GA BX8OD
UT WOS:001334854100051
DA 2025-01-10
ER

PT J
AU Yami, M
   Sime, M
   Hirpa, A
   Feleke, S
   Abdoulaye, T
AF Yami, Mesay
   Sime, Mekonnen
   Hirpa, Adane
   Feleke, Shiferaw
   Abdoulaye, Tahirou
TI Effects of extension service on the uptake of climate-smart sorghum
   production practices: Insights from drylands of Ethiopia
SO ENVIRONMENTAL AND SUSTAINABILITY INDICATORS
LA English
DT Article
DE Climate-smart; Extension service; Moisture stress; Multiple
   technologies; Multivariate probit
ID SUSTAINABLE AGRICULTURAL PRACTICES; SMALLHOLDER FARMERS; INTENSIFICATION
   PRACTICES; ADOPTION; DETERMINANTS; ADAPTATION; IMPACTS; GENDER; YIELDS;
   SOIL
AB The promotion of climate-resilient practices (CRPs) requires the development of the capacity of farmers to adopt these practices owing to the knowledge-intensive nature of technologies. Extension services serve as a conduit for facilitating the conceptualization of CRPs and are instrumental in improving the resiliency and mitigation of climate change. We used a social-ecological framework and a multivariate probit model to analyze the drivers of the CRP uptake in moisture-stressed areas in Ethiopia, with a particular focus on extension services. Unlike previous studies that investigated a single technology, we considered a bundle of technologies. We focused on the use of two capital-intensive CRPs (drought-resistant seed and inorganic fertilizer) and four knowledge-intensive CRPs (minimum tillage, farmyard manure, water-saving technology, and crop residue retention). The role of extension services in promoting other CRPs beyond input and capital-intensive technologies was insignificant. Heterogeneity analysis revealed that the correlation between extension services and the adoption of other knowledge-intensive natural resource management practices holds irrespective of the proximity to the extension service providers. This finding highlights the need for targeted and tailored interventions that support farmers to address the challenges faced by them in moisture-stressed areas. Accordingly, we propose continuously improving the ability of the extension service providers to promote climate-change adaptation knowledge and practices. This should be accompanied by efforts to strengthen a pluralistic extension system, improve land tenure security, and decrease transaction costs for farmers through output market linkages.
C1 [Yami, Mesay] Int Inst Trop Agr IITA, Ibadan, Nigeria.
   [Sime, Mekonnen] Ethiopian Inst Agr Res EIAR, Jimma, Ethiopia.
   [Hirpa, Adane] Int Inst Trop Agr IITA, Chitedze, Malawi.
   [Feleke, Shiferaw] Int Inst Trop Agr IITA, Arusha, Tanzania.
   [Abdoulaye, Tahirou] Int Inst Trop Agr IITA, Bamako, Mali.
C3 CGIAR; International Institute of Tropical Agriculture (IITA); Ethiopian
   Institute of Agricultural Research (EIAR)
RP Yami, M (corresponding author), Int Inst Trop Agr IITA, Ibadan, Nigeria.
EM m.gurmu@cgiar.org
FU Climate-smart interventions for smallholder farmers in
   Ethiopia-CultiAF-II" Canadian International Development Research Centre
   (IDRC); Australian Centre for Inter-national Agricultural Research
   (ACIAR)
FX This study is part of the project "Climate-smart interventions for
   smallholder farmers in Ethiopia-CultiAF-II" Canadian International
   Development Research Centre (IDRC) and Australian Centre for
   International Agricultural Research (ACIAR) for joint financial support
   and the Ethiopian Institute of Agricultural Research (EIAR) for the
   resource allocation and management support. We would also like to thank
   all organizations and individuals who participated in data collection,
   interview, and survey facilitation. The views in the paper are only of
   the authors and do not necessarily reflect the views of the donor or the
   implementing organizations.
CR Abate GT, 2023, WORLD DEV, V161, DOI 10.1016/j.worlddev.2022.106089
   Adeagbo OA, 2021, HELIYON, V7, DOI 10.1016/j.heliyon.2021.e06231
   Antwi-Agyei P, 2021, ENVIRON DEV, V37, DOI 10.1016/j.envdev.2020.100580
   Asante BO, 2024, MITIG ADAPT STRAT GL, V29, DOI 10.1007/s11027-024-10116-6
   Asfaw S., 2018, Climate Smart Agriculture, Natural Resource Management and Policy, V52, DOI [10.1007/978-3-319-61194-51, DOI 10.1007/978-3-319-61194-51]
   Ashu E, 2023, APPL FOOD RES, V3, DOI 10.1016/j.afres.2022.100245
   Baumhardt RL, 2017, SOIL SCI SOC AM J, V81, P200, DOI 10.2136/sssaj2016.08.0255
   Belderbos R, 2004, INT J IND ORGAN, V22, P1237, DOI 10.1016/j.ijindorg.2004.08.001
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   Bryan E, 2013, J ENVIRON MANAGE, V114, P26, DOI 10.1016/j.jenvman.2012.10.036
   Cappellari L, 2003, STATA J, V3, P278, DOI 10.1177/1536867X0300300305
   Chianu JN, 2004, NUTR CYCL AGROECOSYS, V70, P293, DOI 10.1007/s10705-004-0715-z
   Congress I., 2010, ISCO C, P8
   Croppenstedt A, 2013, WORLD BANK RES OBSER, V28, P79, DOI 10.1093/wbro/lks024
   Davis K E., 2020, Agricultural extension: Global status and performance in selected countries, DOI DOI 10.2499/9780896293755
   Deressa TT, 2009, GLOBAL ENVIRON CHANG, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Diro S, 2022, AGR FOOD SECUR, V11, DOI 10.1186/s40066-022-00385-2
   Feyisa BW, 2020, COGENT FOOD AGR, V6, DOI 10.1080/23311932.2020.1855817
   Gai H, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18147412
   Gebrehiwot T, 2013, ENVIRON MANAGE, V52, P29, DOI 10.1007/s00267-013-0039-3
   Gebremichael D, 2005, SOIL USE MANAGE, V21, P287, DOI 10.1079/SUM2005321
   Geda MB, 2024, DISCOV FOOD, V4, DOI 10.1007/s44187-024-00077-9
   Gillespie J. M., 2004, Journal of Agricultural and Applied Economics, V36, P35
   Grabowski H, 2016, J MED ECON, V19, P836, DOI 10.1080/13696998.2016.1176578
   Jena PR, 2023, J AGR FOOD RES, V14, DOI 10.1016/j.jafr.2023.100659
   Jew EKK, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2020.104612
   Kangogo D, 2021, LAND USE POLICY, V109, DOI 10.1016/j.landusepol.2021.105666
   Kehinde MO, 2022, BIO-BASED APPL ECON, V11, P75, DOI 10.36253/bae-9992
   Khanna M, 2001, J ECON SURV, V15, P291, DOI 10.1111/1467-6419.00141
   Kim S, 2005, J SOIL WATER CONSERV, V60, P111
   Kotu BH, 2017, INT J AGR SUSTAIN, V15, P539, DOI 10.1080/14735903.2017.1369619
   Kudama G., 2021, Int J Econ Bus Adm, V7, P48
   Kumasi TC, 2019, ENVIRON DEV SUSTAIN, V21, P745, DOI 10.1007/s10668-017-0062-2
   Kurgat BK, 2020, FRONT SUSTAIN FOOD S, V4, DOI 10.3389/fsufs.2020.00055
   Leta G., 2018, Ph.D. Dissertation at the Center for Development Research (ZEF).
   Liverpool-Tasie LSO, 2019, CLIMATIC CHANGE, V157, P527, DOI 10.1007/s10584-019-02574-8
   Makate C, 2019, ENVIRON DEV, V32, DOI 10.1016/j.envdev.2019.100458
   Makate C, 2018, AFR J SCI TECHNOL IN, V10, P421, DOI 10.1080/20421338.2018.1471027
   Manda J, 2016, J AGR ECON, V67, P130, DOI 10.1111/1477-9552.12127
   Martin R, 2016, ENVIRON MODELL SOFTW, V75, P414, DOI 10.1016/j.envsoft.2014.10.012
   Mburu M, 2024, COGENT FOOD AGR, V10, DOI 10.1080/23311932.2024.2330182
   McGuire S, 2013, GLOBAL ENVIRON CHANG, V23, P644, DOI 10.1016/j.gloenvcha.2013.02.001
   Meijer SS, 2015, INT J AGR SUSTAIN, V13, P40, DOI 10.1080/14735903.2014.912493
   Mesfin H., 2022, AFRICA DEV, V47, P77, DOI [10.57054/ad.v47i4.2978, DOI 10.57054/AD.V47I4.2978]
   Ministry of Agriculture (MoA), 2022, Baseline Survey on the Existing Agricultural Extension Service & Training Need Assessment: Cases of the Pilot Commodities for Tri-lateral Cooperation
   Moges D., 2017, Determinants of farmers' perception to invest in soil and water conservation technologies in the North-Western Highlands of Ethiopia
   Mpala TA, 2024, FRONT SUSTAIN FOOD S, V7, DOI 10.3389/fsufs.2023.1298908
   Murage AW, 2015, CROP PROT, V76, P83, DOI 10.1016/j.cropro.2015.06.014
   Musafiri C.M., 2023, Soc. Sci. Humanit. Open, V8, P100537, DOI [10.1016/j.ssaho.2023.100537, DOI 10.1016/J.SSAHO.2023.100537, 10.]
   Mwalukasa N, 2013, LIBR REV, V62, P266, DOI 10.1108/LR-12-2011-0096
   Mwebaze P., 2024, Adoption determinants of improved cassava varieties and intercropping among East and Central African smallholder farmers, DOI [10.1002/jaa2.112, DOI 10.1002/JAA2.112]
   Naab J.B., 2017, Conservation agriculture improves soil quality, crop yield, and incomes of smallholder farmers in north western Ghana
   Ndiritu SW, 2014, FOOD POLICY, V49, P117, DOI 10.1016/j.foodpol.2014.06.010
   Negera M., 2022, Determinants of adoption of climate smart agricultural practices among farmers in Bale-Eco region, Ethiopia, DOI [10.1016/j.heliyon.2022.e09824, DOI 10.1016/J.HELIYON.2022.E09824]
   Ngoma H, 2016, AFR J AGRIC RESOUR E, V11, P249
   Ngwira AR, 2013, RENEW AGR FOOD SYST, V28, P350, DOI 10.1017/S1742170512000257
   Njogu JW, 2024, COGENT FOOD AGR, V10, DOI 10.1080/23311932.2024.2316362
   Nyang'au JO, 2021, HELIYON, V7, DOI 10.1016/j.heliyon.2021.e06789
   Ojo TO, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2019.04.007
   Olaosebikan O, 2019, PHYSIOL MOL PLANT P, V105, P17, DOI 10.1016/j.pmpp.2018.11.007
   Parks M.H., 2014, Gender and conservation agriculture: constraints and opportunities in the Philippines, DOI [10.1007/s10708-014-9523-4, DOI 10.1007/S10708-014-9523-4]
   Peng J, 2020, GRASSL SCI, V66, P207, DOI 10.1111/grs.12270
   Radovic-Markovic M, 2020, INT REV, P12
   Ramirez O.A., 2000, Journal of Agricultural and Applied Economics, V32, P21, DOI DOI 10.1017/S1074070800027796
   Rampa A, 2023, WORLD DEV, V171, DOI 10.1016/j.worlddev.2023.106364
   Raza MH, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19084753
   Regassa MD, 2021, J AGR ECON, V72, P878, DOI 10.1111/1477-9552.12432
   Rockström J, 2009, SOIL TILL RES, V103, P23, DOI 10.1016/j.still.2008.09.013
   Sapkota B., 2020, Improving gender participation in agricultural technology adoption in Asia: from rhetoric to practical action, DOI [10.1002/aepp.13011, DOI 10.1002/AEPP.13011]
   Serote B, 2021, AGRICULTURE-BASEL, V11, DOI 10.3390/agriculture11121222
   Silvestri S, 2012, REG ENVIRON CHANGE, V12, P791, DOI 10.1007/s10113-012-0293-6
   Simtowe F., 2016, AGR FOOD ECON, V4, P1, DOI [DOI 10.1186/S40100-016-0051-Z, 10.1186/s40100-016-0051-z]
   Teklewold H, 2013, J AGR ECON, V64, P597, DOI 10.1111/1477-9552.12011
   Teklu A, 2023, CLIM RISK MANAG, V39, DOI 10.1016/j.crm.2023.100477
   Temesgen M, 2008, PHYS CHEM EARTH, V33, P183, DOI 10.1016/j.pce.2007.04.012
   Tenywa MM, 2009, J SOIL WATER CONSERV, V64, p44A, DOI 10.2489/jswc.64.1.44A
   TerAvest D, 2019, AGR SYST, V171, P23, DOI 10.1016/j.agsy.2019.01.004
   Teshome A, 2016, ENVIRON MANAGE, V57, P620, DOI 10.1007/s00267-015-0635-5
   Tufa AH, 2023, FRONT SUSTAIN FOOD S, V7, DOI 10.3389/fsufs.2023.1151876
   Valbuena D, 2015, AGR SYST, V134, P107, DOI 10.1016/j.agsy.2014.05.013
   Van Campenhout B, 2021, AM J AGR ECON, V103, P317, DOI 10.1002/ajae.12089
   Vatsa P., 2023, Climate-smart agricultural practices for promoting sustainable agrifood production: yield impacts and implications for food security, DOI [10.1016/j.foodpol.2023.102551, DOI 10.1016/J.FOODPOL.2023.102551]
   Waaswa A, 2022, CLIM DEV, V14, P75, DOI 10.1080/17565529.2021.1885336
   Walker B, 2006, ECOL SOC, V11
   Yokamo S., 2020, INT J FOOD SCI AGR, V4, P183, DOI [10.26855/ijfsa.2020.06.010, DOI 10.26855/IJFSA.2020.06.010, https://doi.org/10.26855/ijfsa.2020.06.010]
   Zerssa G.W., 2021, Challenges of smallholder farming in Ethiopia and opportunities by adopting climate-smart agriculture, DOI [10.3390/agriculture11030192, DOI 10.3390/AGRICULTURE11030192]
   Zingore S., 2015, Better Crops with Plant Food, V99, P24
   Ziro JS, 2023, FRONT CLIM, V5, DOI 10.3389/fclim.2023.1032780
NR 88
TC 0
Z9 0
U1 1
U2 1
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2665-9727
J9 ENVIRON SUSTAIN IND
JI Environ. Sustain. Indic.
PD DEC
PY 2024
VL 24
AR 100477
DI 10.1016/j.indic.2024.100477
EA SEP 2024
PG 12
WC Environmental Sciences; Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA G6C4U
UT WOS:001317494500001
OA gold
DA 2025-01-10
ER

PT J
AU Ngaiwi, ME
   Esponda, MD
   Amanhui, GA
   Villarino, ME
   Andrade, R
   Castro-Nunez, A
AF Ngaiwi, Mary Eyeniyeh
   Esponda, Maria del Mar
   Amanhui, George Amenchwi
   Villarino, Ma. Eliza
   Andrade, Robert
   Castro-Nunez, Augusto
TI Exploring CGIAR's efforts towards achieving the paris Agreement's
   climate-change targets
SO JOURNAL OF AGRICULTURE AND FOOD RESEARCH
LA English
DT Article
DE Food systems; CGIAR; Climate change; Adaptation; Mitigation; Research;
   Innovation
AB This study delves into the evolutionary path of food and agricultural research and development organizations, aligning with the ambitious climate-change objectives outlined in the Paris Agreement. Our exploration revolves around advancing the triple goals of creating sustainable, low-emission food systems, enhancing nutrition, and ensuring food security. A pivotal consideration emerges from the recent United Nations Framework Convention on Climate Change's Conference of the Parties, where civil society advocacy gained momentum, emphasizing the need to seamlessly integrate food and nutrition security within climate-change mitigation initiatives. The objective of this study is therefore to examine how agriculture and food research organizations incorporate climate-change mitigation to address food security, health, and environmental sustainability challenges. In light of this, we undertook an examination of CGIAR's published articles, existing research initiatives, and a curated selection of innovations, with a focus on regional climate-change priorities. Our analysis not only underscores CGIAR's commitment to climate-change research, but also evaluates its contribution to reducing greenhouse gas emissions within food systems. Noteworthy is the discernible shift in CGIAR's research portfolio, reflecting a response to the escalating demand for environmental sustainability and an increased awareness of the interconnected nature of malnutrition and food security. While CGIAR has made significant strides in climate-change adaptation efforts, our analysis indicates an incomplete integration of food-systems perspectives for mitigating climate change. Our proposed approach advocates a comprehensive strategy that harmonizes adaptation and mitigation research, encourages cross-CGIAR collaboration through institutional changes, and underscores the importance of scaling innovations. This holistic endeavor highlights the type of research CGIAR is developing, seamlessly integrating the food-systems approach into the broader climate-change research agenda.
C1 [Ngaiwi, Mary Eyeniyeh; Esponda, Maria del Mar; Amanhui, George Amenchwi; Villarino, Ma. Eliza; Andrade, Robert; Castro-Nunez, Augusto] Ctr Int Agr Res CIAT, Cali, Colombia.
RP Castro-Nunez, A (corresponding author), Ctr Int Agr Res CIAT, Cali, Colombia.
EM augusto.castro@cgiar.org
OI Castro-Nunez, Augusto/0000-0001-9569-9042; Andrade,
   Robert/0000-0002-5764-3854
CR Adeyeye SAO, 2023, CRIT REV FOOD SCI, V63, P641, DOI 10.1080/10408398.2021.1952160
   Adhikari K, 2021, Doss. Agropolis Int. Spec. Partnersh. Issue
   Anderson R, 2020, CURR OPIN PLANT BIOL, V56, P197, DOI [10.1016/j.pbi.2020.12.006, 10.1016/j.pbi.2019.12.006]
   [Anonymous], 2017, 10 best bet innovations for adaptation in agriculture: a supplement to the UNFCCC NAP Technical Guidelines, DOI DOI 10.1017/S0014479716000788
   [Anonymous], SC20-04aCGIAR-2025-30-Portfolio-Narrative.pdf
   [Anonymous], 2021, CGIAR 2030 Research and Innovation Strategy: Transforming Food, Land, and Water Systems in a Climate Crisis
   [Anonymous], Innovation Explorer
   Arouna A., 2023, Baseline Report of the TAFS-WCA
   Baninla Y, 2022, FRONT CLIM, V4, DOI 10.3389/fclim.2022.976427
   Batal M, 2023, Nutritional health: strategies for disease prevention, V4th, P33, DOI [10.1007/978-3-031-24663-03, DOI 10.1007/978-3-031-24663-03]
   Beintema N., 2012, ASTI GLOBAL ASSESSME, DOI [10.2499/9780896298026, DOI 10.2499/9780896298026]
   Byerlee D, 2020, WORLD DEV, V135, DOI 10.1016/j.worlddev.2020.105080
   Byerlee Derek., 2009, International Journal of the Commons, V4, P452, DOI DOI 10.18352/IJC.147
   Castro-Nunez A, 2018, FORESTS, V9, DOI 10.3390/f9100621
   Clapp J, 2018, J PEASANT STUD, V45, P80, DOI 10.1080/03066150.2017.1381602
   Coombs D, 2020, CGIAR Research Program 2020 Reviews: Roots, Tubers and Bananas (RTB)
   Costa C Jr, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-18601-1
   Cox P, 2020, AM J ECON SOCIOL, V79, P653, DOI 10.1111/ajes.12345
   Crippa M, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac00e2
   Douthwaite B, 2017, INT J AGR SUSTAIN, V15, P238, DOI 10.1080/14735903.2017.1314754
   Droge Susanne., 2016, The Paris Agreement 2015: Turning Point for the International Climate Regime
   El Bilali H, 2019, FOOD ENERGY SECUR, V8, DOI 10.1002/fes3.154
   Elven S., 2018, Estimating historical CGIAR research investments Online
   Fao I.F.A.D., 2022, 2022 SOFI FAO, DOI [10.4060/cc0639en.IFAD,UNICEF,WFP,WHO, DOI 10.4060/CC0639EN.IFAD,UNICEF,WFP,WHO]
   Hellin J, 2022, ENVIRON RES-CLIM, V1, DOI 10.1088/2752-5295/ac8b9d
   Hoyos Bertin N., 2024, CGIAR Web-of-science publications dataset Online
   Kabir K, 2023, FOOD SECUR, V15, P455, DOI 10.1007/s12571-022-01319-3
   Kholová J, 2021, J EXP BOT, V72, P5158, DOI 10.1093/jxb/erab226
   Lee H, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab3744
   Martinez-Baron D, 2018, CURR OPIN ENV SUST, V31, P112, DOI 10.1016/j.cosust.2018.02.013
   Meinke H., 2023, npj Sustain. Agric., V1, P6, DOI [10.1038/s44264-023-00005-x, DOI 10.1038/S44264-023-00005-X]
   Munoz Hector Morales, 2023, PLoS Climate, V2, DOI 10.1371/journal.pclm.0000075
   Mustafa M. A., 2021, Food Security and Nutrition, P33, DOI [10.1016/B978-0-12-820521-1.00002-2, DOI 10.1016/B978-0-12-820521-1.00002-2]
   Nelson V., CGIAR Research Program 2020 Reviews: Climate Change, Agriculture and Food Security (CCAFS)
   Niles MT, 2018, RENEW AGR FOOD SYST, V33, P297, DOI 10.1017/S1742170518000029
   Ojiewo C., 2018, MAINSTREAMING EFFICI
   Okolie CC, 2023, LAND-BASEL, V12, DOI 10.3390/land12010050
   Pardey P.G., 2018, From Agriscience to Agribusiness: Theories, Policies and Practices in Technology Transfer and Commercialization, Innovation, Technology, and Knowledge Management, P13, DOI DOI 10.1007/978-3-319-67958-7_2
   Perez Marulanda L, 2023, Integrando la desnutricion infantil en la ganaderia baja en emisiones de gases de efecto invernadero Online
   Quinn M., 2023, CGIAR Initiative on Accelerated Breeding: 2022 Technical Annual Report
   Sartas M, 2020, AGR SYST, V183, DOI 10.1016/j.agsy.2020.102874
   St-Louis M, 2018, FAO Environ. Nat. Resour. Manag. Work. Pap.
   Stevenson JR, 2013, P NATL ACAD SCI USA, V110, P8363, DOI 10.1073/pnas.1208065110
   Thornton P, 2022, FOOD POLICY, V107, DOI 10.1016/j.foodpol.2021.102196
   Verchot L.V., 2021, Mitigation and transformation initiative for GHG reductions of agrifood systems RelaTed emissions - proposal Online
   Zougmoré RB, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13084305
NR 46
TC 0
Z9 0
U1 0
U2 0
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2666-1543
J9 J AGR FOOD RES
JI J. Agric. Food Res.
PD DEC
PY 2024
VL 18
AR 101326
DI 10.1016/j.jafr.2024.101326
EA AUG 2024
PG 11
WC Agriculture, Multidisciplinary; Food Science & Technology
WE Emerging Sources Citation Index (ESCI)
SC Agriculture; Food Science & Technology
GA E3I3H
UT WOS:001301965500001
OA gold
DA 2025-01-10
ER

PT J
AU Enoki, T
   Uchiyama, C
   Takagi, M
   Ugawa, S
   Nabeshima, E
   Ishii, H
AF Enoki, Tsutomu
   Uchiyama, Christmas
   Takagi, Masahiro
   Ugawa, Shin
   Nabeshima, Eri
   Ishii, Hiroaki
TI Plasticity of leaf functional traits and growth responses to disturbance
   among cutting cultivars of <i>Cryptomeria japonica</i> in southern Japan
SO JOURNAL OF FOREST RESEARCH
LA English
DT Article
DE Acclimation; climate-change adaptation; genetic diversity; nitrogen use;
   resilience
ID GEOGRAPHICAL VARIATION; NITROGEN LIMITATION; BIOMASS PRODUCTION;
   CLIMATE-CHANGE; FOREST; PATTERNS; TREES; RESILIENCE; PHOTOSYNTHESIS;
   PRODUCTIVITY
AB Cryptomeria japonica (Thunb. ex L. f.) D. Don is the most major plantation species in Japan, and cultivars have been developed and planted under variable environmental conditions across the country. Productivity of clonal plantations is influenced by the ability of the genotype to acclimate to edaphic- and geographic-scale variation in environmental conditions and disturbance regimes. Because all individuals are genetically identical in a clonal plantation, the trait differences among individuals represent phenotypic plasticity. Here, we investigated how phenotypic plasticity and response to disturbance vary among cutting cultivars of C. japonica. We compared tree height, leaf morphology, nitrogen content, and frequency/intensity of growth-release observed in tree rings after thinning and disturbance among six cutting cultivars in 45-year-old provenance trials in south-western Japan. Nitrogen use efficiency was higher in the site where maximum tree height (H-max) was taller, while shoot mass per area (SMA) was larger in the site where H-max was shorter. Cultivars that grew well had high leaf nitrogen content (N-G) and showed more efficient nitrogen use with high nitrogen-resorption efficiency (NRE). Yabukuguri, an intermediate-growth cultivar, was characterized by large SMA and greater plasticity in SMA and tree height in response to topographical and regional variation, as well as greater intensity of growth-release in tree-ring series indicating growth resilience following disturbance. Our results provide guidelines for selecting cultivars with high acclimation potential and resilience to environmental perturbation, which is important for sustaining plantation forests in uncertain environmental conditions expected by future climate change.
C1 [Enoki, Tsutomu] Kyushu Univ, Ashoro Res Forest, 1-85 Kita 5, Ashoro, Hokkaido 0893705, Japan.
   [Uchiyama, Christmas; Ishii, Hiroaki] Kobe Univ, Grad Sch Agr Sci, Kobe, Japan.
   [Takagi, Masahiro] Univ Miyazaki, Miyazaki Univ Forests, Tano, Japan.
   [Ugawa, Shin] Kagoshima Univ, Dept Environm Sci & Technol, Kagoshima, Japan.
   [Nabeshima, Eri] Ehime Univ, Grad Sch Agr, Matusyama, Japan.
C3 Kyushu University; Kobe University; Kagoshima University
RP Enoki, T (corresponding author), Kyushu Univ, Ashoro Res Forest, 1-85 Kita 5, Ashoro, Hokkaido 0893705, Japan.
EM enoki.tsutomu.929@m.kyushu-u.ac.jp
RI Enoki, Tsutomu/ABA-6867-2021
OI Enoki, Tsutomu/0000-0003-3767-938X; Takagi,
   Masahiro/0000-0001-5657-700X; Uchiyama, Christmas/0000-0002-0803-3291
FU JSPS KAKENHI [JP20H03031, JP23580208]
FX The work was supported by the JSPS KAKENHI [JP20H03031]; JSPS KAKENHI
   [JP23580208].
CR Altman J, 2014, DENDROCHRONOLOGIA, V32, P107, DOI 10.1016/j.dendro.2014.01.004
   Azuma WA, 2023, ECOL RES, V38, P83, DOI 10.1111/1440-1703.12349
   Baker PJ, 2006, J TROP ECOL, V22, P521, DOI 10.1017/S0266467406003312
   Ben Sadok I, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0127539
   Black BA, 2003, ECOL APPL, V13, P1733, DOI 10.1890/02-5122
   Brienen RJW, 2006, J ECOL, V94, P481, DOI 10.1111/j.1365-2745.2005.01080.x
   Buma B, 2013, FOREST ECOL MANAG, V306, P216, DOI 10.1016/j.foreco.2013.06.044
   Cortés AJ, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.583323
   Craine JM, 2009, NEW PHYTOL, V183, P980, DOI 10.1111/j.1469-8137.2009.02917.x
   Elli EF, 2020, FOREST ECOL MANAG, V474, DOI 10.1016/j.foreco.2020.118365
   Enoki T, 2020, J FOREST RES-JPN, V25, P329, DOI 10.1080/13416979.2020.1767267
   Forestry Agency of Japan, 2017, ANN REP FOR FOR JAP, P286
   Fukuda M, 2003, FOREST ECOL MANAG, V184, P1, DOI 10.1016/S0378-1127(03)00146-4
   Futami K., 1981, SHIMANE PREF EXP STA, V31, P1
   Hiura T, 2023, ECOL RES, V38, P42, DOI 10.1111/1440-1703.12321
   Holmez RL., 1983, PROGRAM COFECHA USER, P545
   Ichikawa T., 2003, Journal of the Japanese Forestry Society, V85, P222
   Inoue Yuta, 2020, Journal of the Japanese Forest Society, V102, P7, DOI 10.4005/jjfs.102.7
   Ishii H, 2007, TREE PHYSIOL, V27, P1595, DOI 10.1093/treephys/27.11.1595
   Kinashi K., 1973, B KYUSHU U FOR, V47, P21
   Kobayashi H., 2000, Journal of the Japanese Forestry Society, V82, P281
   LeBauer DS, 2008, ECOLOGY, V89, P371, DOI 10.1890/06-2057.1
   Leites L, 2023, GLOBAL CHANGE BIOL, DOI 10.1111/gcb.16711
   Liu WW, 2017, ECOLOGY, V98, P1591, DOI 10.1002/ecy.1815
   Manrique-Alba A, 2020, SCI TOTAL ENVIRON, V728, DOI 10.1016/j.scitotenv.2020.138536
   Marron N, 2010, CAN J FOREST RES, V40, P1887, DOI 10.1139/X10-113
   Matallana-Ramirez LP, 2021, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.606908
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Miyajima H., 1989, SUGI HINOKI KYUSHU
   Mumby PJ, 2014, CURR OPIN ENV SUST, V7, P22, DOI 10.1016/j.cosust.2013.11.021
   Nishizono T, 2014, J FOREST RES-JPN, V19, P305, DOI 10.1007/s10310-013-0416-z
   Nowacki GJ, 1997, ECOL MONOGR, V67, P225, DOI 10.1890/0012-9615(1997)067[0225:RGACFR]2.0.CO;2
   Ohba K., 1993, Clonal Forestry with sugi (Cryptomeria japonica) in Clonal Forestry II- Conservation and Application, P66, DOI [10.1007/978-3-642-84813-14, DOI 10.1007/978-3-642-84813-1_4]
   Ohta T, 2023, ECOL RES, V38, P98, DOI 10.1111/1440-1703.12353
   Ohta T, 2019, PLANT SOIL, V437, P355, DOI 10.1007/s11104-019-03983-5
   Okano T., 1993, B KYUSYU U FOR, V68, P1
   Osone Y, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0254599
   Osone Y, 2020, ECOL RES, V35, P274, DOI 10.1111/1440-1703.12062
   Pedro MS, 2016, LANDSCAPE ECOL, V31, P989, DOI 10.1007/s10980-015-0317-y
   Pérez-Cruzado C, 2014, GCB BIOENERGY, V6, P312, DOI 10.1111/gcbb.12061
   Piotto D, 2003, FOREST ECOL MANAG, V177, P427, DOI 10.1016/S0378-1127(02)00445-0
   Poorter L, 2006, ECOLOGY, V87, P1733, DOI 10.1890/0012-9658(2006)87[1733:LTAGPO]2.0.CO;2
   Possen BJHM, 2014, CAN J FOREST RES, V44, P657, DOI 10.1139/cjfr-2013-0493
   R Development Core Team, 2023, R: A language and environment for statistical computing
   REICH PB, 1995, OECOLOGIA, V104, P24, DOI 10.1007/BF00365558
   Reich PB, 1997, ECOLOGY, V78, P335, DOI 10.1890/0012-9658(1997)078[0335:NMAPIH]2.0.CO;2
   Rist L, 2013, FOREST ECOL MANAG, V310, P416, DOI 10.1016/j.foreco.2013.08.033
   Schöngart J, 2015, BIOTROPICA, V47, P550, DOI 10.1111/btp.12243
   Seiwa K, 2012, J FOREST RES-JPN, V17, P468, DOI 10.1007/s10310-011-0316-z
   Shigenaga H., 2008, Journal of the Japanese Forest Society, V90, P182, DOI 10.4005/jjfs.90.182
   Sixto H, 2011, NEW FOREST, V42, P163, DOI 10.1007/s11056-010-9244-6
   Stotz GC, 2022, OIKOS, V2022, DOI 10.1111/oik.09342
   Taeger S, 2013, FOREST ECOL MANAG, V307, P30, DOI 10.1016/j.foreco.2013.06.053
   Takahashi M, 2023, J FOREST RES-JPN, V28, P83, DOI 10.1080/13416979.2023.2172794
   Tange T., 1989, B TOKYO U FORESTS, V81, P39
   Tateno R, 2009, J FOREST RES-JPN, V14, P276, DOI 10.1007/s10310-009-0135-7
   Thom D, 2016, BIOL REV, V91, P760, DOI 10.1111/brv.12193
   Tokuchi N, 1999, ECOL RES, V14, P361, DOI 10.1046/j.1440-1703.1999.00309.x
   Tsumura Y, 2023, ECOL RES, V38, P64, DOI 10.1111/1440-1703.12320
   Venäläinen A, 2020, GLOBAL CHANGE BIOL, V26, P4178, DOI 10.1111/gcb.15183
   VITOUSEK P, 1982, AM NAT, V119, P553, DOI 10.1086/283931
   Wagle BH, 2022, FOREST ECOL MANAG, V522, DOI 10.1016/j.foreco.2022.120453
   Watt MS, 2019, FORESTRY, V92, P1, DOI 10.1093/forestry/cpy024
   Wright IJ, 2004, NATURE, V428, P821, DOI 10.1038/nature02403
NR 64
TC 0
Z9 0
U1 5
U2 5
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1341-6979
EI 1610-7403
J9 J FOREST RES-JPN
JI J. For. Res.
PD NOV 1
PY 2024
VL 29
IS 6
BP 440
EP 449
DI 10.1080/13416979.2024.2384191
EA JUL 2024
PG 10
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA M0A2I
UT WOS:001282786700001
DA 2025-01-10
ER

PT J
AU Ahmed, M
   Aloshan, MA
   Mohammed, W
   Mesbah, E
   Alsaleh, NA
   Elghonaimy, I
AF Ahmed, Maram
   Aloshan, Mohammed A.
   Mohammed, Wisam
   Mesbah, Essam
   Alsaleh, Naser A.
   Elghonaimy, Islam
TI Characterizing Land Surface Temperature (LST) through Remote Sensing
   Data for Small-Scale Urban Development Projects in the Gulf Cooperation
   Council (GCC)
SO SUSTAINABILITY
LA English
DT Article
DE Bahrain; sustainability environmental quality; climate change
   adaptation; remote sensing; urban heat islands (UHIs); social housing
   project; governmental housing
ID 8 OLI; WINDOW ALGORITHM; RETRIEVAL; AREA
AB In the context of global climate change, there is a projected increase in land surface temperature (LST) worldwide, amplifying its impacts. This poses a particular concern for countries with hot climates, including the Kingdom of Bahrain as an example for the Gulf Cooperation Council countries (GCC), which are countries with a hot climate. With a surge in population growth, there is a heightened demand for land to accommodate additional residential developments, creating an opportunity to investigate the influence of land use changes on LST variations. To achieve this goal, a residential development project spanning from 2013 to 2023 was undertaken. Landsat 8 OLI/TIRS remote sensing datasets were selected for four climate seasons, each set comprising images before and after development. The analysis involved extracting the LST, Normalized Difference Vegetation Index (NDVI), and Normalized Difference Built-Up Index (NDBI) on various dates, followed by correlation and regression analyses to explore their interrelationships. The results revealed a significant increase in the mean LST during spring and autumn post-development. A consistent positive association between the LST and NDBI was observed across all seasons, strengthening after development completion. Conversely, there was a pre-development negative correlation between the LST and NDVI, shifting to a positive relationship post-development. These findings empirically support the idea that small-scale residential developments contribute to notable LST increases, primarily due to expanded impervious surfaces. These insights have the potential to inform localized adaptation strategies for small-scale residential development projects, crucial for managing the impacts of rising land surface temperatures.
C1 [Ahmed, Maram] Univ Bahrain, Coll Sci, Zallaq 1054, Bahrain.
   [Aloshan, Mohammed A.] Imam Mohammad Ibn Saud Islamic Univ IMSIU, Dept Architectural Engn, Riyadh 12211, Saudi Arabia.
   [Mohammed, Wisam] Imam Abdulrahman Bin Faisal Univ, Coll Architecture & Planning, Landscape Architecture Dept, Dammam 32210, Saudi Arabia.
   [Mesbah, Essam] Univ Jeddah, Coll Engn, Dept Architectural Engn, Jeddah 21589, Saudi Arabia.
   [Alsaleh, Naser A.] Imam Mohammad Ibn Saud Islamic Univ IMSIU, Dept Ind Engn, Riyadh 12211, Saudi Arabia.
   [Elghonaimy, Islam] Univ Bahrain, Coll Engn, Dept Architecture & Interior Design, Zallaq 1054, Bahrain.
C3 University of Bahrain; Imam Abdulrahman Bin Faisal University;
   University of Jeddah; University of Bahrain
RP Aloshan, MA (corresponding author), Imam Mohammad Ibn Saud Islamic Univ IMSIU, Dept Architectural Engn, Riyadh 12211, Saudi Arabia.
EM 20151531@stu.uob.edu.bh; mamoshan@imamu.edu.sa; wemahmoud@iau.edu.sa;
   emosbah@uj.edu.sa; naalsaleh@imamu.edu.sa; eelghonaimy@uob.edu.bh
RI Aloshan, Mohammed/HPF-5685-2023; Elghonaimy, Islam/ABH-2254-2021;
   Mohammed, Wisam/AAV-8422-2021; Alsaleh, Naser/ACG-9979-2022
OI Elghonaimy, Islam/0000-0002-1044-249X; Mohammed,
   Wisam/0000-0001-6670-4332; aloshan, mohammed/0000-0003-2332-9258;
   Alsaleh, Naser/0000-0001-5779-0451
FU Imam Mohammad Ibn Saud Islamic University (IMSIU)
FX No Statement Available
CR [Anonymous], 2023, Population and Demographics
   Ashwini K, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su142114087
   Bahrain Center for Strategic International and Energy Studies, 2018, Bahrain Human Development Report 2018Pathways to Sustainable Economic Growth in Bahrain
   Bahrain Demographics United Nations Department of Economic and Social Affairs, 2024, Population Division World Population Prospects; (Medium-Fertility Variant). Worldometers.info; Bahrain Population
   Bhatti SS, 2014, GISCI REMOTE SENS, V51, P445, DOI 10.1080/15481603.2014.939539
   Bian T, 2017, BOUND-LAY METEOROL, V165, P553, DOI 10.1007/s10546-017-0282-x
   CHAVEZ PS, 1988, REMOTE SENS ENVIRON, V24, P459, DOI 10.1016/0034-4257(88)90019-3
   Chen LY, 2013, 2013 6TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP), VOLS 1-3, P840, DOI 10.1109/CISP.2013.6745282
   Choudhury D, 2019, EGYPT J REMOTE SENS, V22, P203, DOI 10.1016/j.ejrs.2018.05.004
   Cristóbal J, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10030431
   Das A, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16031147
   Dissanayake DMSLB, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11010025
   Dutta D, 2021, URBAN CLIM, V37, DOI 10.1016/j.uclim.2021.100799
   Elagib NA, 1997, J ARID ENVIRON, V36, P405, DOI 10.1006/jare.1996.0237
   Elghonaimy I, 2019, BUILDINGS-BASEL, V9, DOI 10.3390/buildings9040096
   Gao SH, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17249578
   Ghosh S, 2019, MODEL EARTH SYST ENV, V5, P307, DOI 10.1007/s40808-018-0535-9
   Glenn DM, 2019, INT J FRUIT SCI, V19, P191, DOI 10.1080/15538362.2018.1502720
   Guha S, 2018, EUR J REMOTE SENS, V51, P667, DOI 10.1080/22797254.2018.1474494
   Huang S, 2021, J FORESTRY RES, V32, P1, DOI 10.1007/s11676-020-01155-1
   Ihlen V., 2019, Landsat 8 (L8) Data Users Handbook
   Jamei Y, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su142214868
   Kotthaus S, 2014, URBAN CLIM, V10, P261, DOI 10.1016/j.uclim.2013.10.002
   Kotthaus S, 2014, URBAN CLIM, V10, P281, DOI 10.1016/j.uclim.2013.10.001
   Li ZL, 2023, REV GEOPHYS, V61, DOI 10.1029/2022RG000777
   Loridan T, 2012, J APPL METEOROL CLIM, V51, P219, DOI 10.1175/JAMC-D-11-038.1
   Mumtaz F, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12182987
   Nations U., 2018, World Urbanization Prospects, Demographic Research
   Naughton J, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11141722
   Ndossi MI, 2016, REMOTE SENS-BASEL, V8, DOI 10.3390/rs8120993
   Nega W, 2022, ENVIRON SCI POLLUT R, V29, P42493, DOI 10.1007/s11356-022-19997-z
   Nie Q, 2015, FRONT EARTH SCI-PRC, V9, P276, DOI 10.1007/s11707-014-0459-2
   Pan LZ, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16020486
   Przezdziecki K, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15021274
   Reiners P, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15071857
   Seletkovic A, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15053963
   Sobrino JA, 2000, INT J REMOTE SENS, V21, P353, DOI 10.1080/014311600210876
   Tan K, 2017, FRONT EARTH SCI-PRC, V11, P20, DOI 10.1007/s11707-016-0570-7
   Tang JM, 2017, INT J REMOTE SENS, V38, P3445, DOI 10.1080/01431161.2017.1295485
   Vanhellemont Q, 2020, ISPRS J PHOTOGRAMM, V166, P390, DOI 10.1016/j.isprsjprs.2020.06.007
   Wang F, 2015, REMOTE SENS-BASEL, V7, P4268, DOI 10.3390/rs70404268
   Wang RC, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12030440
   Wang YS, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9101700
   Wu ZR, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su152115511
   Xiang Y, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103285
   Yang CB, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12183006
   Yang SW, 2023, BUILD ENVIRON, V283, DOI 10.1016/j.buildenv.2023.110334
   Yu XL, 2014, REMOTE SENS-BASEL, V6, P9829, DOI 10.3390/rs6109829
   Zha Y, 2003, INT J REMOTE SENS, V24, P583, DOI 10.1080/01431160304987
   Zhang XF, 2013, INT J APPL EARTH OBS, V21, P506, DOI 10.1016/j.jag.2012.07.003
   Zhang YS, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13071263
NR 51
TC 1
Z9 1
U1 3
U2 6
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAY
PY 2024
VL 16
IS 9
AR 3873
DI 10.3390/su16093873
PG 23
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA QH1G0
UT WOS:001219889400001
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Zobeidi, T
   Yazdanpanah, M
   Komendantova, N
   Löhr, K
   Sieber, S
AF Zobeidi, Tahereh
   Yazdanpanah, Masoud
   Komendantova, Nadejda
   Loehr, Katharina
   Sieber, Stefan
TI Evaluating climate change adaptation options in the agriculture sector:
   A PROMETHEE-GAIA analysis
SO ENVIRONMENTAL AND SUSTAINABILITY INDICATORS
LA English
DT Article
DE Water scarcity; Agricultural adaptation; Agricultural experts;
   PROMETHEE; GAIA plane
ID WATER-RESOURCE MANAGEMENT; DECISION-MAKING; PRIORITIZATION
AB Mitigating maladaptation and effectively managing climate risks are crucial components of strategic planning in agriculture amidst climate change. Evaluation serves as a pivotal element in this process, facilitating the identification of effective adaptation strategies tailored to local contexts. Consequently, it's imperative to thoroughly evaluate these strategies to ensure their success and resilience. The current study evaluated adaptation methods tailored to the local context in southwest Iran across three categories-crop, farm, and water managementemploying Multi-Criteria Decision-Making (MCDM) and the PROMETHEE-GAIA. Sensitivity analysis was performed during the AHP (Analytical Hierarchy Process) stage to confirm the criteria weights and in the PROMETHEE to confirm the ranking. A set of eight criteria, including effectiveness/importance, affordability, institutional feasibility, technical feasibility, social feasibility, traditional acceptance, flexibility, and environment side effects (positive) were applied to evaluate the adaptation measures. Our results indicated the three highest rankings in each set of measures, as follows: i) crop management-relay intercropping, change of crop type, and mixed intercropping; ii) farm management-pest and disease management, weed control, and crop rotation; iii) water management-lining water canals or covering their earth floors with nylon, using pipes rather than open canals to transfer water to the field, and increasing the time intervals between irrigations to deal with water shortages. The outcomes underscore the urgency of formulating region-specific adaptation policies that align with local expertise and contextual needs. By prioritizing the identified effective strategies, policymakers can enhance resilience against water scarcity in southwest Iran. Moreover, the study highlights the importance of ongoing evaluation and adaptation, emphasizing the dynamic nature of climate challenges and the need for continuous refinement of adaptive policies.
C1 [Zobeidi, Tahereh; Yazdanpanah, Masoud; Komendantova, Nadejda] Int Inst Appl Syst Anal IIASA, Adv Syst Anal Program, Laxenburg, Austria.
   [Yazdanpanah, Masoud] Agr Sci & Nat Resources Univ Khuzestan, Dept Agr Extens & Educ, Mollasani, Iran.
   [Loehr, Katharina; Sieber, Stefan] Leibniz Ctr Agr Landscape Res ZALF, Muncheberg, Germany.
   [Loehr, Katharina] Humboldt Univ, Urban Plant Ecophysiol, Berlin, Germany.
   [Sieber, Stefan] Humboldt Univ, Resource Econ, Berlin, Germany.
C3 International Institute for Applied Systems Analysis (IIASA); Leibniz
   Association; Leibniz Zentrum fur Agrarlandschaftsforschung (ZALF);
   Humboldt University of Berlin; Humboldt University of Berlin
RP Yazdanpanah, M (corresponding author), Int Inst Appl Syst Anal IIASA, Adv Syst Anal Program, Laxenburg, Austria.
EM yazdan@iiasa.ac.at
RI Zobeidi, Tahereh/AFY-2097-2022; Löhr, Katharina/KCL-0431-2024;
   Komendantova, Nadejda/AAI-1536-2021; Yazdanpanah, Masoud/V-5353-2018
OI Sieber, Stefan/0000-0002-4849-7277; Zobeidi,
   Tahereh/0000-0001-6909-4269; Lohr, Katharina/0000-0003-2691-9712;
   Komendantova, Nadejda/0000-0003-2568-6179; Yazdanpanah,
   Masoud/0000-0001-8610-0173
CR Acharjee TK, 2020, CLIMATIC CHANGE, V163, P431, DOI 10.1007/s10584-020-02852-w
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Altvater S., 2012, Adaptation Measures in the EU: Policies, Costs, and Economic Assessment ('Climate Proofing'of Key EU Policies)
   Araos M, 2016, ENVIRON SCI POLICY, V66, P375, DOI 10.1016/j.envsci.2016.06.009
   Aryal JP, 2020, ENVIRON DEV SUSTAIN, V22, P5045, DOI 10.1007/s10668-019-00414-4
   Ashofteh PS, 2024, J CLEAN PROD, V434, DOI 10.1016/j.jclepro.2023.140108
   Ashofteh PS, 2023, WATER RESOUR MANAG, V37, P4385, DOI 10.1007/s11269-023-03560-7
   Ashofteh PS, 2020, WATER RESOUR MANAG, V34, P4847, DOI 10.1007/s11269-020-02694-2
   Azbari KE, 2024, ENVIRON DEV SUSTAIN, V26, P2345, DOI 10.1007/s10668-022-02822-5
   Azbari KE, 2021, J CLEAN PROD, V321, DOI 10.1016/j.jclepro.2021.129041
   Azbari KE, 2022, ENVIRON DEV SUSTAIN, V24, P2497, DOI 10.1007/s10668-021-01543-5
   Bhave AG, 2014, WATER POLICY, V16, P959, DOI 10.2166/wp.2014.097
   Bolanos T.G., 2018, EC TOOLS METHODS ANA, P165, DOI [10.1007/978-3-319-99462-8_10, DOI 10.1007/978-3-319-99462-8_10]
   Brans J.-P., 2016, Multiple Criteria Decision Analysis: State of the Art Surveys, P187, DOI [10.1007/978-1-4939-3094-4_6, DOI 10.1007/978-1-4939-3094-4_6]
   Buchholz T, 2009, ENERG POLICY, V37, P484, DOI 10.1016/j.enpol.2008.09.054
   Champalle C, 2015, SUSTAINABILITY-BASEL, V7, P9268, DOI 10.3390/su7079268
   Cinelli M, 2014, ECOL INDIC, V46, P138, DOI 10.1016/j.ecolind.2014.06.011
   de Bruin K, 2009, CLIMATIC CHANGE, V95, P23, DOI 10.1007/s10584-009-9576-4
   de Loë RC, 2000, CLIMATIC CHANGE, V45, P163, DOI 10.1023/A:1005649219332
   Debels P, 2009, NAT HAZARDS, V50, P211, DOI 10.1007/s11069-008-9333-4
   Di Falco S, 2012, ENVIRON RESOUR ECON, V52, P457, DOI 10.1007/s10640-011-9538-y
   Dinshaw A., 2014, Monitoring and Evaluation of Climate Change Adaptation: Methodological Approaches
   Dolan A.H., 2001, Occas. Pap. 26
   Doria MD, 2009, ENVIRON SCI POLICY, V12, P810, DOI 10.1016/j.envsci.2009.04.001
   Dutta S, 2020, J COAST CONSERV, V24, DOI 10.1007/s11852-020-00779-z
   Ebi KL, 2008, ENVIRON SCI POLICY, V11, P359, DOI 10.1016/j.envsci.2008.02.001
   El-Batran M., 2015, Handbook of Climate Change Adaptation, P725
   Eslami V, 2021, WATER RESOUR MANAG, V35, P4085, DOI 10.1007/s11269-021-02932-1
   Figueira J, 2005, INT SER OPER RES MAN, V78, P133, DOI 10.1007/0-387-23081-5_4
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Golfam P, 2021, J HAZARD TOXIC RADIO, V25, DOI 10.1061/(ASCE)HZ.2153-5515.0000619
   Golfam P, 2019, WATER RESOUR MANAG, V33, P3401, DOI 10.1007/s11269-019-02307-7
   Golfam P, 2019, WATER RESOUR MANAG, V33, P2867, DOI 10.1007/s11269-019-02274-z
   Leavy J., 2008, Desk Review: Evaluation of Adaptation to Climate Change from a Development Perspective
   Lim B., 2005, Adaptation policy frameworks for climate change: Developing strategies, policies and measures
   Maes J, 2019, LANDSLIDES, V16, P1793, DOI 10.1007/s10346-018-1030-0
   Mandryk M, 2014, REG ENVIRON CHANGE, V14, P1463, DOI 10.1007/s10113-014-0589-9
   MARESCHAL B, 1988, EUR J OPER RES, V33, P54, DOI 10.1016/0377-2217(88)90254-8
   Mareschal B., 2013, Visual PROMETHEE, P1
   Masud MM, 2017, J CLEAN PROD, V156, P698, DOI 10.1016/j.jclepro.2017.04.060
   Michailidou AV, 2016, TOURISM MANAGE, V55, P1, DOI 10.1016/j.tourman.2016.01.010
   Miller KA, 2014, MITIG ADAPT STRAT GL, V19, P289, DOI 10.1007/s11027-013-9537-0
   Mizina S.V., 1999, MITIG ADAPT STRATEG, V4, P25, DOI [DOI 10.1023/A:1009626526883, 10.1023/A:1009626526883]
   Nasiri AR, 2024, AGR WATER MANAGE, V295, DOI 10.1016/j.agwat.2024.108768
   Ndamani F, 2017, ECOL INDIC, V76, P366, DOI 10.1016/j.ecolind.2016.12.012
   Nigussie Y, 2018, ECOL ECON, V151, P142, DOI 10.1016/j.ecolecon.2018.05.006
   Prashant Paudel Prashant Paudel, 2012, Journal of Wetlands Ecology, V6, P44
   Sanahuja H.E., 2011, Community of Practice, Global Environment Facility, V78
   Savari M, 2022, INT J DISAST RISK RE, V67, DOI 10.1016/j.ijdrr.2021.102695
   Schipper ELF, 2020, ONE EARTH, V3, P409, DOI 10.1016/j.oneear.2020.09.014
   Scott H., 2018, P 4 PRACT RESP CLIM, P1
   Shahangian SA, 2024, SUSTAIN CITIES SOC, V106, DOI 10.1016/j.scs.2024.105354
   Shahangian SA, 2021, URBAN CLIM, V39, DOI 10.1016/j.uclim.2021.100935
   Shahangian SA, 2021, J ENVIRON MANAGE, V288, DOI 10.1016/j.jenvman.2021.112466
   Shariatzadeh M, 2022, J CLEAN PROD, V348, DOI 10.1016/j.jclepro.2022.131284
   Singh A, 2015, LAND USE POLICY, V43, P259, DOI 10.1016/j.landusepol.2014.11.015
   Singh C., 2020, WATER SECUR, V11, P100071, DOI 10.1016/j.wasec.2020.100071
   Singh C, 2018, REG ENVIRON CHANGE, V18, P2417, DOI 10.1007/s10113-018-1358-y
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smit B, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P877
   Teshome A, 2014, FRONT ENV SCI-SWITZ, V2, DOI 10.3389/fenvs.2014.00060
   UNFCCC, 2023, ADAPTATION RESILIENC
   United Nations Framework Convention on Climate Change (UNFCCC), 2011, Vulnerability and Adaptation to Climate Change, V52
   USAID, Analyzing climate change adaptation options using multi-criteria analysis
   Varela-Ortega C, 2016, REG ENVIRON CHANGE, V16, P59, DOI 10.1007/s10113-014-0720-y
   Williams PA, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac092d
   Yazdanpanah M, 2024, CLIM DEV, DOI 10.1080/17565529.2024.2332380
   Yazdanpanah M, 2023, REG ENVIRON CHANGE, V23, DOI 10.1007/s10113-023-02147-7
   Yazdanpanah M, 2023, CLIM DEV, V15, P340, DOI 10.1080/17565529.2022.2086524
   Zobeidi T, 2022, ENVIRON DEV SUSTAIN, V24, P5400, DOI 10.1007/s10668-021-01663-y
NR 70
TC 2
Z9 2
U1 2
U2 4
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2665-9727
J9 ENVIRON SUSTAIN IND
JI Environ. Sustain. Indic.
PD JUN
PY 2024
VL 22
AR 100395
DI 10.1016/j.indic.2024.100395
EA APR 2024
PG 13
WC Environmental Sciences; Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA QJ7G9
UT WOS:001220566800001
OA gold, Green Accepted
DA 2025-01-10
ER

PT J
AU Kim, AR
   Seol, J
   Lim, BS
   Lim, CH
   Kim, GS
   Lee, CS
AF Kim, A-Reum
   Seol, Jaewon
   Lim, Bong-Soon
   Lim, Chi-Hong
   Kim, Gyung-Soon
   Lee, Chang-Seok
TI Response of Plant Phenology on Microclimate Change Depending on Land Use
   Intensity in Seoul, Central Korea
SO FORESTS
LA English
DT Article
DE climate change; MODIS; Mongolian oak; phenology; urbanization
ID URBAN HEAT-ISLAND; CLIMATE-CHANGE; VEGETATION PHENOLOGY; SURFACE
   TEMPERATURE; REGIONAL CLIMATE; ATMOSPHERIC CO2; URBANIZATION; IMPACTS;
   CITY; GROWTH
AB The difference in the leaf unfolding date of Mongolian oak obtained through MODIS image analysis between the urban center and the outskirts of Seoul was found to be seven days. The difference in the flowering date of cherry obtained through field observations was also found to be seven days between the urban center and the outskirts. The frequency of the abnormal shoot of Korean red pine differed by 71% between the urban center and the outskirts, and the length growth differed by 8.6 cm. There was a statistically significant correlation between the leaf unfolding date of Mongolian oak, the flowering date of the cherry, and the spatial difference in the frequency and length of the abnormal shoot of the Korean red pine. The temperature difference between the urban center and the outskirts of Seoul based on the mean temperature over the past 30 years was about 5 degrees C. The spatial difference in plant phenology showed a statistically significant negative relationship with the spatial difference in temperature. On the other hand, the spatial difference in temperature showed a statistically significant positive relationship with the spatial difference in the urbanization rate. These results are interpreted as the result of excessive land use during urbanization causing the heat island phenomenon, and the resulting temperature difference is reflected in the phenology of plants. These results are evidence that urbanization, which uses excessive land and energy, has a very significant impact on climate change. In addition, it is also evidence that sustainable land use could be an important means to achieve climate change adaptation and further solve climate change problems.
C1 [Kim, A-Reum] Natl Inst Forest Sci, Forest Ecol Div, Seoul 02455, South Korea.
   [Seol, Jaewon] Korea Natl Arboretum, Div Forest Biodivers, Pochon 11186, South Korea.
   [Lim, Bong-Soon; Lim, Chi-Hong; Lee, Chang-Seok] Seoul Womens Univ, Dept Bio & Environm Technol, Seoul 01797, South Korea.
   [Kim, Gyung-Soon] Natl Inst Ecol, Seocheon 33657, South Korea.
C3 Korea Forest Research Institute (KFRI); National Institute of Forest
   Science (NIFOS), Republic of South Korea; Korea National Arboretum;
   Seoul Women's University; National Institute of Ecology
RP Lee, CS (corresponding author), Seoul Womens Univ, Dept Bio & Environm Technol, Seoul 01797, South Korea.
EM bgvib@korea.kr; seoljaewon@korea.kr; bs6238@swu.ac.kr; chlim@swu.ac.kr;
   ecokimgs@nie.re.kr; leecs@swu.ac.kr
RI Lee, Chang/AAR-1697-2020; Lim, BongSoon/LIG-5000-2024
OI Lim, Bong Soon/0000-0003-1724-6552; Kim, Gyung-Soon/0000-0003-2921-665X;
   Lee, Chang Seok/0000-0002-4288-4348
FU National Institute of Forest Science, Republic of Korea
FX No Statement Available
CR Akbari H.S., 1992, COOLING OUR COMMUNIT
   Alexander LV, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006290
   AMTHOR JS, 1995, GLOBAL CHANGE BIOL, V1, P243, DOI 10.1111/j.1365-2486.1995.tb00025.x
   [Anonymous], Ecology N.I.E., Ecobank
   [Anonymous], 2013, Forestry Commission
   Arnfield AJ, 2003, INT J CLIMATOL, V23, P1, DOI 10.1002/joc.859
   Bazrkar MH., 2015, Handbook of climate change adaptation, P619, DOI [10.1007/978-3-642-38670-190, DOI 10.1007/978-3-642-38670-190, 10.1007/978-3-642-38670-1_90, DOI 10.1007/978-3-642-38670-1_90]
   Boukhabla M, 2013, INT J AMBIENT ENERGY, V34, P100, DOI 10.1080/01430750.2012.740424
   Briber BM, 2013, LAND-BASEL, V2, P304, DOI 10.3390/land2030304
   Buyantuyev A, 2012, LANDSCAPE URBAN PLAN, V105, P149, DOI 10.1016/j.landurbplan.2011.12.013
   Chang Y, 2021, SCI TOTAL ENVIRON, V763, DOI 10.1016/j.scitotenv.2020.144224
   Chen XL, 2023, NATURE, V618, P94, DOI 10.1038/s41586-023-05941-9
   Chmielewski FM, 2002, CLIMATE RES, V19, P257, DOI 10.3354/cr019257
   Chuine I, 2004, NATURE, V432, P289, DOI 10.1038/432289a
   Chung U, 2004, CLIMATIC CHANGE, V66, P127, DOI 10.1023/B:CLIM.0000043136.58100.ce
   Cleland EE, 2007, TRENDS ECOL EVOL, V22, P357, DOI 10.1016/j.tree.2007.04.003
   Coomes D.A., 2014, Forests and global change, Landscape Ecology
   D'Amato G, 2016, ALLERGY ASTHMA IMMUN, V8, P391, DOI 10.4168/aair.2016.8.5.391
   Dale VH, 1997, ECOL APPL, V7, P753, DOI 10.1890/1051-0761(1997)007[0753:TRBLUC]2.0.CO;2
   Dallimer M, 2016, ECOL EVOL, V6, P1942, DOI 10.1002/ece3.1990
   Ellis CJ, 2021, LICHENOLOGIST, V53, P135, DOI 10.1017/S0024282920000523
   Ellwood ER, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0053788
   Fallmann J, 2020, DEV BUILT ENVIRON, V4, DOI 10.1016/j.dibe.2020.100023
   Fawzy S, 2020, ENVIRON CHEM LETT, V18, P2069, DOI 10.1007/s10311-020-01059-w
   Ferrini F, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12104247
   Foley JA, 2005, SCIENCE, V309, P570, DOI 10.1126/science.1111772
   Fu Q, 2019, PROCESSES, V7, DOI 10.3390/pr7110836
   Fujibe F, 2011, INT J CLIMATOL, V31, P162, DOI 10.1002/joc.2142
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Gunawardena KR, 2017, SCI TOTAL ENVIRON, V584, P1040, DOI 10.1016/j.scitotenv.2017.01.158
   Ha Kyung-Ja, 2004, [Asia-Pacific Journal of Atmospheric Sciences, 한국기상학회지], V40, P1
   Hamin EM, 2009, HABITAT INT, V33, P238, DOI 10.1016/j.habitatint.2008.10.005
   Han GF, 2013, ENVIRON MANAGE, V52, P234, DOI 10.1007/s00267-013-0097-6
   Hmimina G, 2013, REMOTE SENS ENVIRON, V132, P145, DOI 10.1016/j.rse.2013.01.010
   Ho CH, 2006, INT J CLIMATOL, V26, P2117, DOI 10.1002/joc.1356
   Houghton J, 2005, REP PROG PHYS, V68, P1343, DOI 10.1088/0034-4885/68/6/R02
   Hsu A, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22799-5
   Hu SS, 2012, J GEOGR SCI, V22, P895, DOI 10.1007/s11442-012-0971-9
   Hufkens K, 2012, REMOTE SENS ENVIRON, V117, P307, DOI 10.1016/j.rse.2011.10.006
   Hughes AR, 2008, ECOL LETT, V11, P609, DOI 10.1111/j.1461-0248.2008.01179.x
   Huong HTL, 2013, HYDROL EARTH SYST SC, V17, P379, DOI 10.5194/hess-17-379-2013
   Jeong SJ, 2019, INT J BIOMETEOROL, V63, P627, DOI 10.1007/s00484-018-1610-7
   Jeong SJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0058900
   Jeong SJ, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2008GL036583
   Jhariya M.K., 2022, Natural Resources Conservation and Advances for Sustainability, P151
   Jiang YT, 2015, REMOTE SENS-BASEL, V7, P4880, DOI 10.3390/rs70404880
   Jochner S, 2015, ENVIRON POLLUT, V203, P250, DOI 10.1016/j.envpol.2015.01.003
   Jochner S, 2013, TREE PHYSIOL, V33, P1256, DOI 10.1093/treephys/tpt079
   Jones KR, 2016, BIOL CONSERV, V194, P121, DOI 10.1016/j.biocon.2015.12.008
   Jung SH, 2020, INT J BIOMETEOROL, V64, P571, DOI 10.1007/s00484-019-01843-6
   Kalnay E, 2003, NATURE, V423, P528, DOI 10.1038/nature01675
   Kashiwagi H, 2016, PALAEOGEOGR PALAEOCL, V454, P82, DOI 10.1016/j.palaeo.2016.04.002
   KAYA Z, 1994, TREE PHYSIOL, V14, P1277, DOI 10.1093/treephys/14.11.1277
   Kaye JP, 2005, GLOBAL CHANGE BIOL, V11, P575, DOI 10.1111/j.1365-2486.2005.00921.x
   Keenan TF, 2014, NAT CLIM CHANGE, V4, P598, DOI [10.1038/nclimate2253, 10.1038/NCLIMATE2253]
   Kim GS, 2022, ATMOSPHERE-BASEL, V13, DOI 10.3390/atmos13020342
   Kim Gyung-Soon, 2011, Journal of Ecology and Field Biology, V34, P75, DOI 10.5141/JEFB.2011.010
   KIM HH, 1992, INT J REMOTE SENS, V13, P2319, DOI 10.1080/01431169208904271
   Kim YH, 2005, J APPL METEOROL, V44, P591, DOI 10.1175/JAM2226.1
   Kleerekoper L, 2012, RESOUR CONSERV RECY, V64, P30, DOI 10.1016/j.resconrec.2011.06.004
   Krehbiel C, 2016, REMOTE SENS-BASEL, V8, DOI 10.3390/rs8040297
   Larsen L, 2004, J AM PLANN ASSOC, V70, P374
   Lee B, 2018, KOREAN J REMOTE SENS, V34, P267, DOI 10.7780/kjrs.2018.34.2.1.9
   Lee C.S., 2019, FOREST DEFORESTATION, DOI [10.5772/intechopen.86248, DOI 10.5772/INTECHOPEN.86248]
   Lee CS, 2008, SPRINGER SER ENV MAN, P393, DOI 10.1007/978-0-387-71425-7_25
   Lee H.Y., 1985, Ehwa Bull. Geogr, V1, P104
   Lee Kyoungmi, 2009, [Journal of The Korean Association of Regional Geographers, 한국지역지리학회지], V15, P337
   Lee S., 2010, A Study on Strategy in Seoul Vulnerable to Extreme Weather, P139
   Li DJ, 2019, NAT ECOL EVOL, V3, P1661, DOI 10.1038/s41559-019-1004-1
   Li JG, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-53789-9
   Li XX, 2016, J GEOPHYS RES-ATMOS, V121, P4386, DOI 10.1002/2015JD024452
   Li XC, 2017, GLOBAL CHANGE BIOL, V23, P2818, DOI 10.1111/gcb.13562
   Lim CH, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12203282
   Lim CH, 2018, ECOL RES, V33, P363, DOI 10.1007/s11284-017-1551-3
   Liu J, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-42494-2
   Lyu RF, 2019, COMPUT ENVIRON URBAN, V77, DOI 10.1016/j.compenvurbsys.2019.101351
   MacKinnon K., 2008, Biodiversity, climate change and adaptation: nature-based solutions from the Word Bank portfolio
   Massad RS, 2019, BIOGEOSCIENCES, V16, P2369, DOI 10.5194/bg-16-2369-2019
   McCarthy MP, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL042845
   Meng L, 2020, P NATL ACAD SCI USA, V117, P4228, DOI 10.1073/pnas.1911117117
   Menzel A, 2006, GLOBAL CHANGE BIOL, V12, P1969, DOI 10.1111/j.1365-2486.2006.01193.x
   Miller JD, 2017, J HYDROL-REG STUD, V12, P345, DOI 10.1016/j.ejrh.2017.06.006
   Munasinghe M., 2005, PRIMER CLIMATE CHANG
   Neil Kaesha, 2006, Urban Ecosystems, V9, P243, DOI 10.1007/s11252-006-9354-2
   Olander L.P., 2009, International Forest Carbon and the Climate Change Challenge: Issues and Options
   Orimoloye IR, 2018, ENVIRON EARTH SCI, V77, DOI 10.1007/s12665-018-7252-6
   Parmesan C, 2007, GLOBAL CHANGE BIOL, V13, P1860, DOI 10.1111/j.1365-2486.2007.01404.x
   Pelletier MC, 2020, AQUAT SCI, V82, DOI 10.1007/s00027-020-00717-z
   Peñuelas J, 2002, GLOBAL CHANGE BIOL, V8, P531, DOI 10.1046/j.1365-2486.2002.00489.x
   Peterson DL, 2018, CLIM SERV, V10, P63, DOI 10.1016/j.cliser.2017.06.005
   Piao SL, 2019, GLOBAL CHANGE BIOL, V25, P1922, DOI 10.1111/gcb.14619
   Piao SL, 2006, GLOBAL CHANGE BIOL, V12, P672, DOI 10.1111/j.1365-2486.2006.01123.x
   Pielke RA, 2005, SCIENCE, V310, P1625, DOI 10.1126/science.1120529
   Primack RB, 2009, BIOL CONSERV, V142, P1943, DOI 10.1016/j.biocon.2009.03.016
   Qiu T, 2020, REMOTE SENS ENVIRON, V236, DOI 10.1016/j.rse.2019.111477
   Qiu T, 2017, REMOTE SENS-BASEL, V9, DOI 10.3390/rs9090970
   Ray D., 2008, Forest Research
   Ren ZB, 2013, FORESTS, V4, P868, DOI 10.3390/f4040868
   Richardson AD, 2013, AGR FOREST METEOROL, V169, P156, DOI 10.1016/j.agrformet.2012.09.012
   Roman CE, 2010, TOUR PLAN DEV, V7, P237, DOI 10.1080/1479053X.2010.503049
   Schwartz MD, 2000, INT J CLIMATOL, V20, P929, DOI 10.1002/1097-0088(20000630)20:8<929::AID-JOC557>3.0.CO;2-5
   Schwartz MD, 2006, GLOBAL CHANGE BIOL, V12, P343, DOI 10.1111/j.1365-2486.2005.01097.x
   Seidl R, 2017, NAT CLIM CHANGE, V7, P395, DOI [10.1038/NCLIMATE3303, 10.1038/nclimate3303]
   Semeraro T, 2021, LAND-BASEL, V10, DOI 10.3390/land10020105
   Seoul City, Biotop Map
   Seto KC, 2012, P NATL ACAD SCI USA, V109, P16083, DOI 10.1073/pnas.1211658109
   Socolow R, 2004, ENVIRONMENT, V46, P8, DOI 10.1080/00139150409605818
   Song H.G., 2014, Clim. Chang. Ecol. Ser. Long Term Ecol. Res, V7, P60
   Tayanc M, 1997, CLIMATIC CHANGE, V35, P501, DOI 10.1023/A:1005357915441
   Thompson I., 2009, A Synthesis of the Biodiversity/Resilience/Stability Relationship in Forest Ecosystems; Technical, V43, P1, DOI DOI 10.1126/SCIADV.1500936
   Tong SL, 2021, BMJ-BRIT MED J, V375, DOI 10.1136/bmj.n2467
   Ulsig L, 2017, REMOTE SENS-BASEL, V9, DOI 10.3390/rs9010049
   UNEP, 2010, The Role of Ecosystems in Developing a Sustainable Green Economy, P21
   Voogt JA, 2003, REMOTE SENS ENVIRON, V86, P370, DOI 10.1016/S0034-4257(03)00079-8
   Wang LX, 2021, J CLEAN PROD, V315, DOI 10.1016/j.jclepro.2021.128161
   Wang WJ, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12166675
   Wang X, 2020, J CLEAN PROD, V274, DOI 10.1016/j.jclepro.2020.122487
   Watson R. T., 2000, Land use, land-use change and forestry: A special report of the intergovernmental panel on climate change
   White MA, 2002, ECOSYSTEMS, V5, P260, DOI 10.1007/s10021-001-0070-8
   Wickham H., Package 'ggplot2
   Willie YA, 2019, EARTH SCI INFORM, V12, P447, DOI 10.1007/s12145-019-00391-2
   Yang XC, 2017, GEOPHYS RES LETT, V44, P6940, DOI 10.1002/2017GL074084
   Yao R, 2017, REMOTE SENS-BASEL, V9, DOI 10.3390/rs9010066
   Yao XW, 2015, ADV METEOROL, V2015, DOI 10.1155/2015/395094
   Yuan ZX, 2023, PLANTS-BASEL, V12, DOI 10.3390/plants12223913
   Zhang WJ, 2017, LAND USE POLICY, V63, P493, DOI 10.1016/j.landusepol.2017.02.006
   Zhang XY, 2004, GEOPHYS RES LETT, V31, DOI 10.1029/2004GL020137
   Zhao MF, 2013, ENVIRON REV, V21, P1, DOI 10.1139/er-2012-0036
   Zhao N, 2019, SCI TOTAL ENVIRON, V688, P1005, DOI 10.1016/j.scitotenv.2019.06.374
   Zhao SQ, 2016, P NATL ACAD SCI USA, V113, P6313, DOI 10.1073/pnas.1602312113
   Zhou DC, 2016, REMOTE SENS ENVIRON, V176, P272, DOI 10.1016/j.rse.2016.02.010
   Zipper SC, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/5/054023
   Ziska LH, 2003, J ALLERGY CLIN IMMUN, V111, P290, DOI 10.1067/mai.2003.53
NR 133
TC 0
Z9 0
U1 0
U2 3
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1999-4907
J9 FORESTS
JI Forests
PD APR
PY 2024
VL 15
IS 4
AR 718
DI 10.3390/f15040718
PG 19
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA OY5E2
UT WOS:001210842900001
OA gold
DA 2025-01-10
ER

PT J
AU Ngwenya, K
   Luckert, MK
   Mohapatra, S
AF Ngwenya, Kwanele
   Luckert, Martin K.
   Mohapatra, Sandeep
TI Gendered determinants of adaptation in growing maize in smallholder
   agriculture in East Africa
SO ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
LA English
DT Article; Early Access
DE Adaptation; Gender; East Africa; Livelihood roles; Household headship;
   Forecast information
ID CLIMATE-CHANGE ADAPTATION; LIVELIHOOD STRATEGIES; PROPERTY-RIGHTS;
   NONFARM INCOME; FOOD SECURITY; BURKINA-FASO; TECHNOLOGY; HOUSEHOLDS;
   INNOVATION; ADOPTION
AB Though gender dimensions are widely thought to influence adaptive activities of households (such as responses to climate change), there is little quantitative research, covering large scales, indicating the presence or magnitude of such impacts. We investigate adaptation in terms of changes in household farming practices of maize in Ethiopia, Kenya, Tanzania and Uganda. While controlling for a number of household, site- and activity-specific characteristics, we investigate impacts of three types of gender variables on adaptation: roles, household headship and forecast information. Our measures of adaptation include counts of changed farming activities and probabilities of undertaking a given activity, with activity-specific controls for categories of types of adaptations. Results suggest that drivers of adaptation frequently depend on the specific category of activity being undertaken. Nonetheless, within this heterogeneous context, we find the following general results. For roles, relative to situations where both men and women are involved, some activities dominated by women and men alone are not prone to adaptation. For household headship, male-headed households are more prone to adaptation for some categories of activities, but specific roles of the non-head spouse may be an important consideration. For forecast information, providing information to only women does not affect adaptation, with more promising results if information is provided to both men and women. Overall, our results suggest the importance of understanding gendered relations within households and highlight potential problems with development programmes that just focus on women for promoting change.
C1 [Ngwenya, Kwanele; Luckert, Martin K.; Mohapatra, Sandeep] Univ Alberta, Dept Resource Econ & Environm Sociol, Edmonton, AB T6G 2H1, Canada.
C3 University of Alberta
RP Luckert, MK (corresponding author), Univ Alberta, Dept Resource Econ & Environm Sociol, Edmonton, AB T6G 2H1, Canada.
EM marty.luckert@ualberta.ca
FU This research was supported with funding from the CGIAR Research Program
   on Climate Change, Agriculture and Food Security (CCAFS). CCAFS is
   funded by the CGIAR Fund, AusAid, Danish International Development
   Agency, Environment Canada, Instituto de Investig; Climate Change,
   Agriculture, and Food Security
FX Funding was provided by Climate Change, Agriculture, and Food Security.
CR Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   AGARWAL B, 1983, WORLD DEV, V11, P359, DOI 10.1016/0305-750X(83)90047-5
   Ahmed S., 2009, Gender and Development, V17, P33, DOI 10.1080/13552070802696896
   Alkire S., 2012, IFPRI DISCUSSION PAP
   Amemiya T., 1985, Advanced Econometrics, P521
   Ampaire EL, 2020, CLIMATIC CHANGE, V158, P43, DOI 10.1007/s10584-019-02447-0
   Archer ERM, 2003, B AM METEOROL SOC, V84, P1525, DOI 10.1175/BAMS-84-11-1525
   Asfaw S., 2015, Technical report # 14371, DOI [10.13140/RG.2.1.1823.7600, DOI 10.13140/RG.2.1.1823.7600]
   Ayuk ET, 1997, AGR SYST, V54, P189, DOI 10.1016/S0308-521X(96)00082-0
   Babugura A., 2013, Gender and Climate Change: South Africa Case Study
   Barrett CB, 2001, FOOD POLICY, V26, P315, DOI 10.1016/S0306-9192(01)00014-8
   Bee B., 2013, RES ACTION POLICY AD, P95, DOI DOI 10.1007/978-94-007-5518-5_7
   Below T., 2010, IFPRI Discussion Paper, V953, P28
   Bernier Q., 2015, CCAFS Working Paper No. 79
   Beuchelt T.D., 2016, TECHNOLOGICAL I INNO, P181, DOI DOI 10.1007/978-3-319-25718-1_11
   Beuchelt TD, 2013, FOOD SECUR, V5, P709, DOI 10.1007/s12571-013-0290-8
   Bryan E, 2013, J ENVIRON MANAGE, V114, P26, DOI 10.1016/j.jenvman.2012.10.036
   Budlender D, 2003, SOC DYNAMICS, V29, P48, DOI 10.1080/02533950308628675
   Buvinic M, 1997, ECON DEV CULT CHANGE, V45, P259, DOI 10.1086/452273
   Cameron A.C., 1986, Journal of Applied Econometrics, V1, P29, DOI [10.1002/jae.3950010104, DOI 10.1002/JAE.3950010104]
   Carr ER, 2014, GEOGR COMPASS, V8, P182, DOI 10.1111/gec3.12121
   Chaudhury M., 2012, CCAFS Working Paper
   Chhetri N, 2012, APPL GEOGR, V33, P142, DOI 10.1016/j.apgeog.2011.10.006
   Colfer CJP., 2016, Gender and forests: Climate change, tenure, value chains and emerging issues, DOI [10.4324/978131566624, DOI 10.4324/978131566624]
   Crepon B, 1997, J APPL ECONOM, V12, P243, DOI 10.1002/(SICI)1099-1255(199705)12:3<243::AID-JAE444>3.0.CO;2-4
   Critchley W., 1999, Workshop Report, V2, P1
   Dankelman I., 2002, GENDER DEV, V10, P21, DOI [10.1080/13552070215899, DOI 10.1080/13552070215899]
   Dassanayake W, 2015, J POLICY MODEL, V37, P668, DOI 10.1016/j.jpolmod.2014.11.005
   Demetriades J, 2008, IDS BULL-I DEV STUD, V39, P24, DOI 10.1111/j.1759-5436.2008.tb00473.x
   Deressa TT, 2009, GLOBAL ENVIRON CHANG, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Desta S., 2011, SUMMARY BASELINE HOU
   Di Falco S, 2014, EUR REV AGRIC ECON, V41, P405, DOI 10.1093/erae/jbu014
   Di Falco S, 2011, AM J AGR ECON, V93, P825, DOI 10.1093/ajae/aar006
   Diederen P., 2003, Cahiers d'Economie et Sociologie Rurales, P29
   Djoudi H, 2011, INT FOREST REV, V13, P123, DOI 10.1505/146554811797406606
   Doss CR, 2002, WORLD DEV, V30, P1987, DOI 10.1016/S0305-750X(02)00109-2
   Doss CR, 2001, WORLD DEV, V29, P2075, DOI 10.1016/S0305-750X(01)00088-2
   Doss CR, 2001, AGR ECON-BLACKWELL, V25, P27, DOI 10.1016/S0169-5150(00)00096-7
   Duflo E., 2000, NBER Working Paper No. 8061
   Eilu G, 2004, DIVERS DISTRIB, V10, P303, DOI 10.1111/j.1366-9516.2004.00089.x
   Fafchamps M, 2008, AGR ECON-BLACKWELL, V38, P251, DOI 10.1111/j.1574-0862.2008.00297.x
   Farnworth C, 2013, Transforming gender relations in agriculture in sub-Saharan Africa, P107
   Food and Agricultural Organization of the United Nations (FAO), 2011, The State of Food and Agriculture 2010-2011: Women in Agriculture, DOI [10.18356/ca0215ed-en, DOI 10.18356/CA0215ED-EN]
   Forch W., 2014, Agric Food Secur, V31, P1, DOI DOI 10.1186/2048-7010-3-13
   GLADWIN CH, 1992, AGR ECON, V7, P141, DOI 10.1016/0169-5150(92)90004-I
   Gladwin CH, 2001, FOOD POLICY, V26, P177, DOI 10.1016/S0306-9192(00)00045-2
   Gockowski J, 2004, AGR ECON-BLACKWELL, V30, P195, DOI [10.1111/j.1574-0862.2004.tb00188.x, 10.1016/j.agecon.2002.11.002]
   Hayami Y., 1985, AGR DEV INT PERSPECT
   HODDINOTT J, 1995, OXFORD B ECON STAT, V57, P77, DOI 10.1111/j.1468-0084.1995.tb00028.x
   Ilahi Nadeem., 2000, INTRAHOUSEHOLD ALLOC
   Ingram KT, 2002, AGR SYST, V74, P331, DOI 10.1016/S0308-521X(02)00044-6
   Jost C, 2016, CLIM DEV, V8, P133, DOI 10.1080/17565529.2015.1050978
   Kaijser A, 2014, ENVIRON POLIT, V23, P417, DOI 10.1080/09644016.2013.835203
   Kamara A, 2004, J SUSTAIN AGR, V25, P45, DOI 10.1300/J064v25n02_05
   Kevane M, 1999, FEM ECON, V5, P1
   Kimaru G., 2005, ICRAF WORKING PAPER
   Kristjanson P., 2014, CCAFS Working Paper No. 56
   Kristjanson P., 2010, 20 ILRI, DOI 10.1023/A:1006447915074.
   Kristjanson P, 2012, FOOD SECUR, V4, P381, DOI 10.1007/s12571-012-0194-z
   Kumar N, 2013, FOOD POLICY, V38, P11, DOI 10.1016/j.foodpol.2012.10.002
   Kyazze F.B., 2011, Summary of Baseline Household Survey Results: Rakai District, South Central Uganda
   Land KC, 1996, SOCIOL METHOD RES, V24, P387, DOI 10.1177/0049124196024004001
   Lio MC, 2006, AGR ECON-BLACKWELL, V34, P221, DOI 10.1111/j.1574-0864.2006.00120.x
   Lyamchai C., 2011, SUMMARY BASELINE HOU
   MADDALA G., 1997, LTD DEPENDENT QUALIT, DOI DOI 10.1017/CBO9780511810176
   Mandakini Pant Mandakini Pant, 2000, Indian Journal of Gender Studies, V7, P93, DOI 10.1177/097152150000700107
   Mango Joash., 2011, SUMMARY BASELINE HOU
   McLean G.K., 2010, CLIMATE CHANGE IMPAC
   Mearns R., 2010, SOCIAL DIMENSIONS CL, DOI [10.1596/978-0-8213-7887-8, DOI 10.1596/978-0-8213-7887-8]
   Meinzen-Dick R., 2010, Engendering Agricultural Research (00; Issue May)
   MeinzenDick RS, 1997, WORLD DEV, V25, P1303, DOI 10.1016/S0305-750X(97)00027-2
   MIGOTADHOLLA S, 1991, WORLD BANK ECON REV, V5, P155, DOI 10.1093/wber/5.1.155
   Nabikolo D., 2012, African Crop Science Journal, V20, P203
   Netting RM, 1993, Smallholders, householders: Farm families and the ecology of intensive, sustainable agriculture, DOI [10.1515/9781503622067, DOI 10.1515/9781503622067]
   Nkonya E., 2012, Sustainable intensification to advance food security and enhance climate resilience in Africa
   Pandolfelli L., 2008, Journal of International Development, V20, P1, DOI 10.1002/jid.1424
   Perez C, 2015, GLOBAL ENVIRON CHANG, V34, P95, DOI 10.1016/j.gloenvcha.2015.06.003
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Quibria M.G., 2002, Journal of Asian Economics, V13, P811, DOI [10.1016/s1049-0078(02)00186-0, DOI 10.1016/S1049-0078(02)00186-0, 10.1016/S1049-0078(02)00186-0]
   Quisumbing AR, 2003, OXFORD B ECON STAT, V65, P283, DOI 10.1111/1468-0084.t01-1-00052
   REARDON T, 1994, AM J AGR ECON, V76, P1172, DOI 10.2307/1243412
   Reij C, 2002, FARMER INNOVATION IN AFRICA, P77
   Roncoli C, 2011, AGR HUM VALUES, V28, P123, DOI 10.1007/s10460-010-9257-y
   Roncoli C, 2009, CLIMATIC CHANGE, V92, P433, DOI 10.1007/s10584-008-9445-6
   Salami A., 2010, Working Paper Series, V105
   Sanginga P., 2009, Innovation Africa
   Schmittlein DC., 1982, MARK SCI, V1, P57, DOI [10.1287/mksc.1.1.57, DOI 10.1287/MKSC.1.1.57]
   Seebens H., 2011, ESA Working Paper, V11
   Sikod F., 2007, CODESRIA Africa Development, V32, P58
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Sunding D., 1999, For the Handbook of Agricultural Economics) department of agricultural and resource economics, V207, P94720
   Tall A., 2014, Working Paper No. 89), CCAFS Working Paper
   Tatlonghari GT., 2013, Research, action and policy: Addressing the gendered impacts of climate change, P237, DOI [10.1007/978-94-007-5518-5_17, DOI 10.1007/978-94-007-5518-5_17]
   THOMAS D, 1990, J HUM RESOUR, V25, P635, DOI 10.2307/145670
   Tschakert P, 2012, ETHICS SOC WELF, V6, P275, DOI 10.1080/17496535.2012.704929
   Twyman J., 2014, 83 CCAFS
   van Rijn F, 2012, AGR SYST, V108, P112, DOI 10.1016/j.agsy.2011.12.003
   Villamor GB, 2014, CURR OPIN ENV SUST, V6, P128, DOI 10.1016/j.cosust.2013.11.015
   Wangui E. E., 2003, Working Paper 23: Land Use Change Impacts and Dynamics (LUCID)
   Waters-Bayer A., 2015, Agriculture and Food Security, V4, P4, DOI DOI 10.1186/S40066-015-0023-7
NR 100
TC 0
Z9 0
U1 0
U2 5
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1387-585X
EI 1573-2975
J9 ENVIRON DEV SUSTAIN
JI Environ. Dev. Sustain.
PD 2023 OCT 30
PY 2023
DI 10.1007/s10668-023-03949-9
EA OCT 2023
PG 28
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA W7GC5
UT WOS:001093262500002
DA 2025-01-10
ER

PT J
AU Abhiram Nirmal, CS
   Abhilash, S
   Martin, M
   Sankar, S
   Mohapatra, M
   Sahai, AK
AF Abhiram Nirmal, C. S.
   Abhilash, S.
   Martin, Max
   Sankar, Syam
   Mohapatra, M.
   Sahai, A. K.
TI Changes in the thermodynamical profiles of the subsurface ocean and
   atmosphere induce cyclones to congregate over the Eastern Arabian Sea
SO SCIENTIFIC REPORTS
LA English
DT Article
ID INDIAN-OCEAN; TROPICAL CYCLONES; SURFACE TEMPERATURE; HEAT-CONTENT;
   INTENSITY; VARIABILITY; FREQUENCY; ORIGIN; IMPACT; SST
AB The Arabian Sea accounts for a small fraction of Tropical Cyclones-about 2% of the annual global mean. However, the damage they might inflict there and along its coastlines, which are thickly populated, is considerable. This study explores the influence of the changes in the vertical profiles of atmosphere and oceanic environment throughout the seasons of March-June (MAMJ) and October-December (OND) in clustering the cyclogenesis over the Eastern Arabian Sea (EAS) next to the Indian West coast in recent decades. Further investigation has been done into the precise contribution of atmospheric and oceanic factors to fluctuations in cyclone intensity throughout the MAMJ and OND seasons separately. Two seasons have been studied independently in order to better understand the distinct influences of the vertical fluctuation of atmospheric factors and the thermal structure of the oceanic subsurface on cyclogenesis. More severe cyclones are caused by high tropical cyclone heat potential, and ocean subsurface warming present in this sea region influences the genesis of storms mostly during MAMJ. On the other hand, mid tropospheric relative humidity and thermal instability influences more on increasing cyclogenesis and its clustering over EAS during OND season. The findings suggest that large-scale oceanic subsurface conditions have a crucial influence on cyclogenesis over EAS through oceanic sensitivity to atmospheric forcing. This cyclone tendency and its clustering over EAS needs attention in terms of forecasting, catastrophe risk reduction, and climate change adaptation due to the security of coastal urban and rural habitats, livelihoods, and essential infrastructure along the coasts.
C1 [Abhiram Nirmal, C. S.; Abhilash, S.; Martin, Max; Sankar, Syam] Cochin Univ Sci & Technol CUSAT, Adv Ctr Atmospher Radar Res ACARR, Kochi 682022, India.
   [Abhilash, S.] Cochin Univ Sci & Technol, Dept Atmospher Sci, Kochi 682016, India.
   [Martin, Max] Univ Sussex, Dept Anthropol, Brighton, E Sussex, England.
   [Sankar, Syam] Natl Ctr Medium Range Weather Forecasting NCMRWF, Sect 62, Noida 201309, Uttar Pradesh, India.
   [Mohapatra, M.] India Meteorol Dept IMD, New Delhi 110003, India.
   [Sahai, A. K.] Indian Inst Trop Meteorol IITM, Pune 411008, Maharashtra, India.
C3 Cochin University Science & Technology; Cochin University Science &
   Technology; University of Sussex; Ministry of Earth Sciences (MoES) -
   India; National Centre for Medium Range Weather Forecasting (NCMRWF);
   Ministry of Earth Sciences (MoES) - India; India Meteorological
   Department (IMD); Ministry of Earth Sciences (MoES) - India; Indian
   Institute of Tropical Meteorology (IITM)
RP Abhilash, S; Martin, M (corresponding author), Cochin Univ Sci & Technol CUSAT, Adv Ctr Atmospher Radar Res ACARR, Kochi 682022, India.; Abhilash, S (corresponding author), Cochin Univ Sci & Technol, Dept Atmospher Sci, Kochi 682016, India.; Martin, M (corresponding author), Univ Sussex, Dept Anthropol, Brighton, E Sussex, England.
EM abhimets@gmail.com; max.martin@sussex.ac.uk
RI Meteorology, Abhilash/AAD-5328-2022; sankar, syam/AAF-2850-2019; Martin,
   Max/K-9037-2018
OI Sukumarapillai, Abhilash/0000-0002-3834-8737; C.S, Abhiram
   Nirmal/0000-0002-5100-8788; Martin, Max/0000-0001-8047-078X
FU UKRI Global Challenges Research Fund [ES/T003103/1]; Sussex
   Sustainability Research Programme; Royal Geographical Society; GCRF
   [ES/T003103/1] Funding Source: UKRI
FX The authors would like to thank India Meteorological Department (IMD),
   National Oceanic and Atmospheric Administration (NOAA), National
   Aeronautics and Space Administration (NASA), and European Centre for
   Medium Range Weather Forecasting (ECMWF) for providing the
   meteorological data used in this study. We gratefully acknowledge the
   Ministry of Earth Sciences (MoES), Government of India, for providing
   necessary support for the computational facility at ACARR that was used
   for carrying out analyses for this research.This research was supported
   by generous grants from the UKRI Global Challenges Research Fund (Grant
   ES/T003103/1) for the University of Sussex project 'Forecasting with
   Fishers' led by Prof Filippo Osella. Sussex Sustainability Research
   Programme and Royal Geographical Society supported related pilot studies
   and social impact work. Data analysis and visualisation were done using
   open org/), NumPy77, Matplotlib78, Cartopy79, SciPy80, Pandas81 and
   Xarray82.
CR Albert J, 2023, CLIMATE, V11, DOI 10.3390/cli11020035
   Ali MM, 2013, IEEE GEOSCI REMOTE S, V10, P841, DOI 10.1109/LGRS.2012.2226138
   Ali MM, 2012, IEEE GEOSCI REMOTE S, V9, P1114, DOI 10.1109/LGRS.2012.2190491
   Ali M.M., 2007, Eos, V88, P93, DOI DOI 10.1029/2007-O080001
   Ali M. M., 2013, EOS T AM GEOPHYS UN, V94, P177, DOI [10.1002/2013EO190005, DOI 10.1002/2013EO190005]
   Alory G, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2006GL028044
   Bell GD, 2000, B AM METEOROL SOC, V81, pS1, DOI 10.1175/1520-0477(2000)81[s1:CAF]2.0.CO;2
   Bister M, 2002, J GEOPHYS RES-ATMOS, V107, DOI 10.1029/2001JD000776
   Bister M, 2002, J GEOPHYS RES-ATMOS, V107, DOI 10.1029/2001JD000780
   BOLTON D, 1980, MON WEATHER REV, V108, P1046, DOI 10.1175/1520-0493(1980)108<1046:TCOEPT>2.0.CO;2
   Camargo SJ, 2005, J CLIMATE, V18, P2996, DOI 10.1175/JCLI3457.1
   Cheng LJ, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1601545
   Chowdhury RR, 2020, J GEOPHYS RES-OCEANS, V125, DOI 10.1029/2019JC015836
   Chu J.-H., 2002, REF NRLMR7540 02 16
   Cione JJ, 2003, MON WEATHER REV, V131, P1783, DOI 10.1175//2562.1
   Copernicus Climate Change Service, 2024, ECMWR
   Deo AA, 2011, NAT HAZARDS, V59, P771, DOI 10.1007/s11069-011-9794-8
   Deshpande M, 2021, CLIM DYNAM, V57, P3545, DOI 10.1007/s00382-021-05880-z
   Dunnavan G. M., 1981, Tech, Rep
   Elson Phil, 2021, Zenodo, DOI 10.5281/ZENODO.5586061
   Emanuel K, 2003, ANNU REV EARTH PL SC, V31, P75, DOI 10.1146/annurev.earth.31.100901.141259
   Emanuel K. A., 2004, Tropical cyclone activity and the global climate system, V107, P240
   EMANUEL KA, 1995, J ATMOS SCI, V52, P3969, DOI 10.1175/1520-0469(1995)052<3969:SOTCTS>2.0.CO;2
   Emanuel KA, 1999, NATURE, V401, P665, DOI 10.1038/44326
   Evan AT, 2011, NATURE, V479, P94, DOI 10.1038/nature10552
   Evan AT, 2011, J CLIMATE, V24, P140, DOI 10.1175/2010JCLI3611.1
   Ganesh SS, 2021, MAUSAM, V72, P57
   Ganesh SS, 2020, EARTH SPACE SCI, V7, DOI 10.1029/2020EA001209
   Gilford DM, 2021, GEOSCI MODEL DEV, V14, P2351, DOI 10.5194/gmd-14-2351-2021
   Goni G, 2009, OCEANOGRAPHY, V22, P190, DOI 10.5670/oceanog.2009.78
   Gray WM, 1998, METEOROL ATMOS PHYS, V67, P37, DOI 10.1007/BF01277501
   GRAY WM, 1968, MON WEATHER REV, V96, P669, DOI 10.1175/1520-0493(1968)096<0669:GVOTOO>2.0.CO;2
   GRAY WM, 1984, MON WEATHER REV, V112, P1669, DOI 10.1175/1520-0493(1984)112<1669:ASHFPI>2.0.CO;2
   Gray WS., 1979, METEOROL TROP OCEANS, V155, P218
   Harris CR, 2020, NATURE, V585, P357, DOI 10.1038/s41586-020-2649-2
   Hersbach H, 2020, Q J ROY METEOR SOC, V146, P1999, DOI 10.1002/qj.3803
   Hoarau K, 2012, INT J CLIMATOL, V32, P1935, DOI 10.1002/joc.2406
   Hong XD, 2000, MON WEATHER REV, V128, P1347, DOI 10.1175/1520-0493(2000)128<1347:TIBHOA>2.0.CO;2
   Hoyer S., 2017, Journal of Open Research Software, V5, P10, DOI [10.5334/jors.148, DOI 10.5334/JORS.148]
   Hunter JD, 2007, COMPUT SCI ENG, V9, P90, DOI 10.1109/MCSE.2007.55
   India Meteorological Department, 2015, Tech. Rep
   India Meteorological Department, Cyclone eAtlas-IMD
   India Meteorological Department, 2020, Tech. Rep
   India Meteorological Department, 2018, Tech. Rep
   India Meteorological Department, 2016, Tech. Rep
   Jangir B, 2021, ADV SPACE RES, V68, P773, DOI 10.1016/j.asr.2020.01.011
   Kang NY, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab0b50
   Kaplan J, 2003, WEATHER FORECAST, V18, P1093, DOI 10.1175/1520-0434(2003)018<1093:LCORIT>2.0.CO;2
   Kotal SD, 2009, NAT HAZARDS, V50, P389, DOI 10.1007/s11069-009-9348-5
   Lander MA, 1998, MON WEATHER REV, V126, P1163, DOI 10.1175/1520-0493(1998)126<1163:ALAGTC>2.0.CO;2
   Lee SK, 2015, NAT GEOSCI, V8, P445, DOI 10.1038/NGEO2438
   Leipper D. F., 1972, Journal of Physical Oceanography, V2, P218, DOI 10.1175/1520-0485(1972)002<0218:HHPOTG>2.0.CO;2
   Lin II, 2013, NAT HAZARDS, V66, P1481, DOI 10.1007/s11069-012-0214-5
   Lin II, 2005, MON WEATHER REV, V133, P2635, DOI 10.1175/MWR3005.1
   Lloyd ID, 2011, J CLIMATE, V24, P1138, DOI 10.1175/2010JCLI3763.1
   May RM, 2022, B AM METEOROL SOC, V103, pE2273, DOI 10.1175/BAMS-D-21-0125.1
   Murakami H, 2017, NAT CLIM CHANGE, V7, P885, DOI 10.1038/s41558-017-0008-6
   Nagamani PV, 2012, REMOTE SENS LETT, V3, P615, DOI 10.1080/01431161.2011.640959
   Panda SK, 2022, METEOROL ATMOS PHYS, V134, DOI 10.1007/s00703-022-00921-6
   Petty KR, 2000, WEATHER FORECAST, V15, P233, DOI 10.1175/1520-0434(2000)015<0233:ITCIGI>2.0.CO;2
   Pierce DW, 2006, J CLIMATE, V19, P1873, DOI 10.1175/JCLI3723.1
   Rao SA, 2002, DEEP-SEA RES PT II, V49, P1549, DOI 10.1016/S0967-0645(01)00158-8
   Rao SA, 2012, CLIMATIC CHANGE, V110, P709, DOI 10.1007/s10584-011-0121-x
   Reback Jeff, 2020, Zenodo, DOI 10.5281/ZENODO.3715232
   Roxy MK, 2019, NATURE, V575, P647, DOI 10.1038/s41586-019-1764-4
   Roxy M, 2007, J METEOROL SOC JPN, V85, P349, DOI 10.2151/jmsj.85.349
   Roxy MK, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms8423
   Roxy MK, 2014, J CLIMATE, V27, P8501, DOI 10.1175/JCLI-D-14-00471.1
   Sanap SD, 2020, J EARTH SYST SCI, V129, DOI 10.1007/s12040-020-01457-2
   Sayantani O, 2015, CLIM DYNAM, V44, P2447, DOI 10.1007/s00382-014-2379-y
   Sebastian M, 2015, PROCEDIA ENGINEER, V116, P1072, DOI 10.1016/j.proeng.2015.08.346
   Shay LK, 2000, MON WEATHER REV, V128, P1366, DOI 10.1175/1520-0493(2000)128<1366:EOAWOF>2.0.CO;2
   Sikora CR, 1976, INVESTIGATION EQUIVA
   Suneeta P, 2021, J EARTH SYST SCI, V130, DOI 10.1007/s12040-021-01700-4
   Swapna P, 2022, GEOPHYS RES LETT, V49, DOI 10.1029/2021GL094650
   Swapna P, 2014, CLIM DYNAM, V42, P2439, DOI 10.1007/s00382-013-1787-8
   Virtanen P, 2020, NAT METHODS, V17, P261, DOI 10.1038/s41592-019-0686-2
   Webster PJ, 2005, SCIENCE, V309, P1844, DOI 10.1126/science.1116448
   Weller E, 2016, SCI ADV, V2, DOI 10.1126/sciadv.1501719
   Zedler SE, 2002, J GEOPHYS RES-OCEANS, V107, DOI 10.1029/2001JC000969
   Zuo H., 2018, OCEAN5: the ECMWF Ocean Reanalysis System and its Real-Time Analysis Component, DOI DOI 10.21957/LA2V0442
NR 81
TC 1
Z9 1
U1 0
U2 4
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD SEP 22
PY 2023
VL 13
IS 1
AR 15776
DI 10.1038/s41598-023-42642-9
PG 14
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA U9FC6
UT WOS:001087778000045
PM 37737291
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Saito, K
   Senthilkumar, K
   Dossou-Yovo, ER
   Ali, I
   Johnson, JM
   Mujawamariya, G
   Rodenburg, J
AF Saito, K.
   Senthilkumar, K.
   Dossou-Yovo, E. R.
   Ali, I.
   Johnson, J-m.
   Mujawamariya, G.
   Rodenburg, J.
TI Status quo and challenges of rice production in sub-Saharan Africa
SO PLANT PRODUCTION SCIENCE
LA English
DT Article
DE agronomy; climate change adaptation; agricultural labor; rainfed rice;
   soil and nutrient management; >
ID YIELD GAP ANALYSIS; UPLAND RICE; SUSTAINABLE INTENSIFICATION; FERTILIZER
   USE; USE EFFICIENCY; LABOR; FARMERS; WEED; TECHNOLOGIES; AGRICULTURE
AB Rice production in sub-Saharan Africa (SSA) has increaed ten-fold since 1961, whereas its consumption has exceeded the production and the regional self-sufficiency rate is only 48% in 2020. Increase in rice production has come mainly from increased harvested area. Yield increase has been limited and the current average yield in SSA is around 2 t ha(-1). This paper aims to provide the status quo of (i) current rice production and its challenges, (ii) selected achievements in rice agronomy research mainly by the Africa Rice Center and its partners, and (iii) perspectives for future research on rice agronomy in SSA. The major problems confronting rice production include low yield in rainfed environments, accounting for 70% of the total rice harvested area. Rainfed rice yields are strongly affected by climate extremes such as water stresses, soil-related constraints, and sub-optimum natural resource management and crop management practices by smallholder farmers including poor water management, and suboptimal use of fertilizers, herbicides, and machineries. For alleviating these constraints, a wide range of technologies have been developed and introduced over the last three decades. These include water conservation technologies in rainfed and irrigated lowland rice, site-specific nutrient management practices, decision support tools such as crop growth simulation models, and labor-saving technologies. We conclude that further research efforts are needed to develop locally adapted agronomic solutions for sustainable intensification, especially in rainfed rice to enhance the resilience to climate change and increase land and labor productivity and sustainability of rice cultivation in SSA.
C1 [Saito, K.; Dossou-Yovo, E. R.; Johnson, J-m.] Africa Rice Ctr AfricaRice, Bouake, Cote Ivoire.
   [Saito, K.] Int Rice Res Insititute, Manila, Philippines.
   [Senthilkumar, K.; Mujawamariya, G.] Africa Rice Ctr AfricaRice, Antananarivo, Madagascar.
   [Ali, I.] Africa Rice Ctr AfricaRice, Abuja, Nigeria.
   [Johnson, J-m.] Univ Bonn, Inst Crop Sci & Resource Conservat INRES, Bonn, Germany.
   [Rodenburg, J.] Univ Greenwich, Nat Resources Inst, Chatham, England.
C3 CGIAR; Africa Rice Center; CGIAR; Africa Rice Center; CGIAR; Africa Rice
   Center; University of Bonn; University of Greenwich
RP Saito, K (corresponding author), Africa Rice Ctr AfricaRice, Bouake, Cote Ivoire.; Saito, K (corresponding author), Int Rice Res Insititute, Manila, Philippines.
EM kazukisaito50@gmail.com
RI Saito, Kazuki/ABE-5432-2021; Mujawamariya, Gaudiose/KFQ-0717-2024;
   Rodenburg, Jonne/E-7015-2011; Ibrahim, Ali/P-4633-2018; Rodenburg,
   Jonne/N-2994-2018; Johnson, Jean-Martial/M-1540-2018; Senthilkumar,
   Kalimuthu/A-4671-2012
OI Mujawamariya, Gaudiose/0000-0003-0087-8529; Saito,
   Kazuki/0000-0002-8609-2713; Ibrahim, Ali/0000-0002-8454-0551; Rodenburg,
   Jonne/0000-0001-9059-9253; Dossou-Yovo, Elliott/0000-0002-3565-8879;
   Johnson, Jean-Martial/0000-0002-2638-8774; Senthilkumar,
   Kalimuthu/0000-0002-2862-411X
FU European Union and International Fund for Agricultural Development
   (IFAD) under the project "Sustainable and Diversified Rice-based Farming
   Systems under the program "Putting Research into Use for Nutrition,
   Sustainable Agriculture and Resilience (PRUNSAR) [DCIFOOD/2015/360968];
   Bill amp; Melinda Gates Foundation (BMGF), Seattle, USA through the
   CGIAR Excellence in Agronomy 2030 (Incubation Phase) [INV-005431]
FX This study was financially supported by the European Union and
   International Fund for Agricultural Development (IFAD) under the project
   "Sustainable and Diversified Rice-based Farming Systems
   [DCIFOOD/2015/360-968]" under the program "Putting Research into Use for
   Nutrition, Sustainable Agriculture and Resilience (PRUNSAR)", and the
   Bill & Melinda Gates Foundation (BMGF), Seattle, USA, Grant ID
   INV-005431 through the CGIAR Excellence in Agronomy 2030 (Incubation
   Phase).
CR Achandi EL, 2018, J RURAL STUD, V60, P188, DOI 10.1016/j.jrurstud.2018.03.011
   Akpoti K, 2020, SCI TOTAL ENVIRON, V709, DOI 10.1016/j.scitotenv.2019.136165
   Amponsah SK, 2017, APPL ENG AGRIC, V33, P479, DOI 10.13031/aea.11876
   Arouna A, 2021, FIELD CROP RES, V271, DOI 10.1016/j.fcr.2021.108263
   Arouna A, 2021, WORLD DEV PERSPECT, V21, DOI 10.1016/j.wdp.2021.100291
   Arouna A, 2021, AM J AGR ECON, V103, P596, DOI 10.1111/ajae.12151
   Asai H, 2021, FIELD CROP RES, V272, DOI 10.1016/j.fcr.2021.108284
   Awio T, 2022, AGRONOMY-BASEL, V12, DOI 10.3390/agronomy12030552
   Awio T, 2021, FIELD CROP RES, V270, DOI 10.1016/j.fcr.2021.108219
   Bass L. E., 2004, CHILD LABOR SUB SAHA
   Breure TS, 2022, PRECIS AGRIC, V23, P1333, DOI 10.1007/s11119-022-09887-2
   Brosseau A, 2021, AGR SYST, V193, DOI 10.1016/j.agsy.2021.103211
   Bruelle G, 2015, EXP AGR, V51, P66, DOI 10.1017/S0014479714000155
   Chivenge P, 2022, FIELD CROP RES, V281, DOI 10.1016/j.fcr.2022.108503
   Chivenge P, 2021, GLOB FOOD SECUR-AGR, V30, DOI 10.1016/j.gfs.2021.100570
   de Mey Y, 2012, J AGR ECON, V63, P175, DOI 10.1111/j.1477-9552.2011.00323.x
   Devkota KP, 2022, FIELD CROP RES, V276, DOI 10.1016/j.fcr.2021.108375
   Diagne A, 2013, REALIZING AFRICA'S RICE PROMISE, P46, DOI 10.1079/9781845938123.0046
   Diagne A, 2013, REALIZING AFRICA'S RICE PROMISE, P35, DOI 10.1079/9781845938123.0035
   Djagba JF, 2022, GEODERMA REG, V30, DOI 10.1016/j.geodrs.2022.e00563
   Dossou-Yovo ER, 2022, FIELD CROP RES, V283, DOI 10.1016/j.fcr.2022.108548
   Dossou-Yovo ER, 2020, FIELD CROP RES, V258, DOI 10.1016/j.fcr.2020.107963
   FAO, 2021, FAOSTAT STAT DAT
   Futakuchi K, 2021, FIELD CROP RES, V267, DOI 10.1016/j.fcr.2021.108159
   Garba M, 2018, AGRON J, V110, P1951, DOI 10.2134/agronj2017.09.0512
   Grotelüschen K, 2022, FIELD CROP RES, V285, DOI 10.1016/j.fcr.2022.108602
   Haefele SM, 2014, GEODERMA, V235, P250, DOI 10.1016/j.geoderma.2014.07.019
   Haefele SM, 2022, FIELD CROP RES, V275, DOI 10.1016/j.fcr.2021.108357
   Haefele SM, 2013, REALIZING AFRICA'S RICE PROMISE, P250, DOI 10.1079/9781845938123.0250
   Hengl T, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-85639-y
   Hengl T, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0125814
   Holden ST, 2018, GLOB FOOD SECUR-AGR, V18, P20, DOI 10.1016/j.gfs.2018.07.001
   Husson O, 2022, FIELD CROP RES, V277, DOI 10.1016/j.fcr.2021.108418
   Ibrahim A, 2022, ENVIRON SUSTAIN IND, V15, DOI 10.1016/j.indic.2022.100189
   Ibrahim A, 2021, FIELD CROP RES, V266, DOI 10.1016/j.fcr.2021.108149
   IFA, 2022, FERT US CROP COUNTR
   Johnson JM, 2021, FIELD CROP RES, V270, DOI 10.1016/j.fcr.2021.108222
   Johnson JM, 2019, GEODERMA, V354, DOI 10.1016/j.geoderma.2019.06.043
   Johnson JM, 2019, EXP AGR, V55, P117, DOI 10.1017/S001447971700059X
   Komatsu S, 2022, FIELD CROP RES, V277, DOI 10.1016/j.fcr.2021.108424
   Leenen M, 2019, J PLANT NUTR SOIL SC, V182, P953, DOI 10.1002/jpln.201800670
   Medagbe FMK, 2020, FRONT SUSTAIN FOOD S, V4, DOI 10.3389/fsufs.2020.00117
   Miao XX, 2023, SPECTROCHIM ACTA A, V284, DOI 10.1016/j.saa.2022.121733
   Müller C, 2011, P NATL ACAD SCI USA, V108, P4313, DOI 10.1073/pnas.1015078108
   Mujawamariya G, 2017, AGREKON, V56, P383, DOI 10.1080/03031853.2017.1387580
   Mujawamariya G, 2017, J AGRIC ENVIRON INT, V111, P5, DOI 10.12895/jaeid.20171.493
   Niang A, 2018, NUTR CYCL AGROECOSYS, V110, P293, DOI 10.1007/s10705-017-9898-y
   Niang A, 2017, FIELD CROP RES, V207, P1, DOI 10.1016/j.fcr.2017.02.014
   Ogwuike P, 2014, FOOD SECUR, V6, P327, DOI 10.1007/s12571-014-0351-7
   Onaga G., 2020, Just enough nitrogen. Perspectives on how to get there for regions with too much and too little nitrogen
   Palacios-Lopez A, 2017, FOOD POLICY, V67, P52, DOI 10.1016/j.foodpol.2016.09.017
   Paresys L, 2018, EUR J AGRON, V93, P95, DOI 10.1016/j.eja.2017.10.009
   Partey ST, 2016, ARCH AGRON SOIL SCI, V62, P199, DOI 10.1080/03650340.2015.1040399
   Rickman J, 2013, REALIZING AFRICA'S RICE PROMISE, P332, DOI 10.1079/9781845938123.0332
   Rodenburg J, 2022, FIELD CROP RES, V287, DOI 10.1016/j.fcr.2022.108670
   Rodenburg J, 2022, FIELD CROP RES, V276, DOI 10.1016/j.fcr.2021.108397
   Rodenburg J, 2020, AGRON SUSTAIN DEV, V40, DOI 10.1007/s13593-020-0612-0
   Rodenburg J, 2019, FOOD SECUR, V11, P69, DOI 10.1007/s12571-018-0878-0
   Rodenburg J, 2015, WEED TECHNOL, V29, P751, DOI 10.1614/WT-D-15-00016.1
   Rodenburg J, 2014, CROP PROT, V66, P46, DOI 10.1016/j.cropro.2014.08.015
   Saito K, 2021, FIELD CROP RES, V270, DOI 10.1016/j.fcr.2021.108193
   Saito K, 2019, GEODERMA, V338, P546, DOI 10.1016/j.geoderma.2018.11.036
   Saito K, 2018, PLANT PROD SCI, V21, P145, DOI 10.1080/1343943X.2018.1459751
   Saito K, 2015, GLOB FOOD SECUR-AGR, V5, P62, DOI 10.1016/j.gfs.2014.10.006
   Saito K, 2013, REALIZING AFRICA'S RICE PROMISE, P188, DOI 10.1079/9781845938123.0188
   Senthilkumar K, 2022, FIELD CROP RES, V285, DOI 10.1016/j.fcr.2022.108591
   Senthilkumar K, 2021, FIELD CROP RES, V270, DOI 10.1016/j.fcr.2021.108201
   Senthilkumar K, 2020, J AGRON CROP SCI, V206, P478, DOI 10.1111/jac.12417
   SRP, 2020, The SRP Performance Indicators for Sustainable Rice Cultivation (Version 2.1)
   Tanaka A, 2017, EUR J AGRON, V85, P1, DOI 10.1016/j.eja.2016.12.010
   Tanaka A, 2015, FIELD CROP RES, V176, P99, DOI 10.1016/j.fcr.2015.02.020
   The World Bank, 2022, Female labor force participation
   Tippe DE, 2020, FIELD CROP RES, V254, DOI 10.1016/j.fcr.2020.107845
   Totin E, 2013, AGR WATER MANAGE, V125, P71, DOI 10.1016/j.agwat.2013.04.012
   Tsujimoto Y, 2019, PLANT PROD SCI, V22, P413, DOI 10.1080/1343943X.2019.1617638
   Van Asten PJA, 2004, LAND DEGRAD DEV, V15, P383, DOI 10.1002/ldr.619
   van Ittersum MK, 2013, FIELD CROP RES, V143, P4, DOI 10.1016/j.fcr.2012.09.009
   van Oort AJ, 2017, GLOB FOOD SECUR-AGR, V12, P109, DOI 10.1016/j.gfs.2016.09.005
   van Oort PAJ, 2021, FIELD CROP RES, V263, DOI 10.1016/j.fcr.2021.108074
   van Oort PAJ, 2018, FIELD CROP RES, V219, P55, DOI 10.1016/j.fcr.2018.01.016
   van Oort PAJ, 2015, GLOB FOOD SECUR-AGR, V5, P39, DOI 10.1016/j.gfs.2015.01.002
   van Oort P. A. J., 2019, EXPLORING ADAPTATION
   Vandamme E, 2018, FIELD CROP RES, V222, P39, DOI 10.1016/j.fcr.2018.02.016
   Vandamme E, 2016, FIELD CROP RES, V186, P10, DOI 10.1016/j.fcr.2015.11.003
   Vemireddy V., 2021, LABOR SAVING TECHNOL
   Wopereis MCS, 2013, REALIZING AFRICA'S RICE PROMISE, P1, DOI 10.1079/9781845938123.0000
   Yuan S, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-27424-z
   Zingore S, 2022, AGRON SUSTAIN DEV, V42, DOI 10.1007/s13593-022-00821-4
   Zossou E, 2021, DEV PRACT, V31, P11, DOI 10.1080/09614524.2020.1770699
NR 89
TC 8
Z9 8
U1 8
U2 19
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1343-943X
EI 1349-1008
J9 PLANT PROD SCI
JI Plant. Prod. Sci.
PD JUL 3
PY 2023
VL 26
IS 3
BP 320
EP 333
DI 10.1080/1343943X.2023.2241712
EA AUG 2023
PG 14
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA O5WH0
UT WOS:001041935500001
OA gold
DA 2025-01-10
ER

PT J
AU Ribas, A
   Llovet, A
   Llurba, R
   Connolly, J
   Sebastià, MT
AF Ribas, Angela
   Llovet, Alba
   Llurba, Rosa
   Connolly, John
   Sebastia, Maria-Teresa
TI Sown diversity effects on yield and resistance to weed invasion: Clues
   to improve mixture design under climatic change in the Mediterranean
SO AGRICULTURE ECOSYSTEMS & ENVIRONMENT
LA English
DT Article
DE Agroecology; Climate change adaptation; Diversity effects; Forage
   persistence; Mediterranean mountain systems; Polycultures
ID PLANT DIVERSITY; ANNUAL INTERCROPS; BIODIVERSITY; PRODUCTIVITY;
   FACILITATION; MANAGEMENT; DROUGHT; SUSTAINABILITY; COMMUNITIES;
   DIFFERENCE
AB With the aim to improve mixture design, particularly in regions vulnerable to climate change, we tested several forage communities following the biodiversity-ecosystem function (BEF) framework. We sowed monocultures and 4-species mixtures from a pool of 7 forage species in a sub-Mediterranean region (Eastern Pyrenees) and assessed the diversity effects on yield and resistance to weed invasion. The tested species included two grasses and five legumes with contrasting temporal patterns and different climatic amplitudes. The communities differed in their specific composition (mixture types) and the relative abundance of the components, following a simplex design, which allowed us to estimate separately the two components of the diversity effect: the individual species effects and that due to species interactions. Whereas monocultures performed in a highly variable way within and across harvests, both in relation to yield and weed suppression, mixture variability was narrower. Both functions increased in mixtures (with significant interaction effects between 24% and 57% for yield and 13% and 96% for weed suppression), especially in those mixtures including Mediterranean species, which showed the highest diversity effects that persisted over the three experimental years. Extreme climatic events during the experimental period might have affected not only the species' individual performances but also the strength of species interactions. Both components of diversity, identities and interactions, were key in maintaining high performances. We conclude that, under the current climate change scenario, it is important to include species in mixtures that increase resistance or resilience not only at the species level but also at the community level, through enhanced interaction effects.
C1 [Ribas, Angela; Llovet, Alba] Univ Autonoma Barcelona, BABVE, Edifici C, Bellaterra 08193, Spain.
   [Ribas, Angela; Llovet, Alba] CREAF, Cerdanyola Del Valles 08193, Catalonia, Spain.
   [Llovet, Alba; Llurba, Rosa; Sebastia, Maria-Teresa] Ctr Tecnol Forestal Catalunya CTFC, Solsona 25280, Spain.
   [Llurba, Rosa; Sebastia, Maria-Teresa] Univ Lleida, ETSEA, Grp GAMES, Lleida 25198, Spain.
   [Llurba, Rosa; Sebastia, Maria-Teresa] Univ Lleida, ETSEA, Dept HBJ, Lleida 25198, Spain.
   [Connolly, John] Univ Coll Dublin, Sch Math & Stat, Dublin, Ireland.
C3 Autonomous University of Barcelona; Centro de Investigacion Ecologica y
   Aplicaciones Forestales (CREAF-CERCA); Centre Tecnologic Forestal de
   Catalunya (CTFC); Universitat de Lleida; Universitat de Lleida;
   University College Dublin
RP Llovet, A (corresponding author), Univ Autonoma Barcelona, BABVE, Edifici C, Bellaterra 08193, Spain.
EM Alba.Llovet@uab.cat
RI Llovet, Alba/AAZ-6996-2021; Ribas, Angela/L-5633-2014; Sebastia, M.
   Teresa/B-5479-2013
OI Llovet, Alba/0000-0001-9723-0117; Ribas, Angela/0000-0002-5938-2408;
   Sebastia, M. Teresa/0000-0002-9017-3575
FU EU COST Action [CGL2013-49142-C2-1-R, 852, CGL2017-85490-R]; Margarita
   Salas grant under the European Union- NextGeneration EU funds; Catalan
   Government
FX We would like to thank all people collaborating in field work and sample
   processing. The work was conducted in relation to the EU COST Action
   852, and was finished thanks to the projects BIOGEI
   (CGL2013-49142-C2-1-R) and IMAGINE (CGL2017-85490-R) and is supported by
   a Margarita Salas grant under the European Union- NextGeneration EU
   funds. We also acknowledge the Catalan Government for some additional
   funding.
CR Alemayehu S, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11101124
   Altieri MA, 1999, AGR ECOSYST ENVIRON, V74, P19, DOI 10.1016/S0167-8809(99)00028-6
   Altieri MA, 2015, AGRON SUSTAIN DEV, V35, P869, DOI 10.1007/s13593-015-0285-2
   [Anonymous], 2012, STAT SPAN MIN AGR
   ATWOOD S. S., 1942, JOUR AMER SOC AGRON, V34, P1
   Brooker RW, 2015, NEW PHYTOL, V206, P107, DOI 10.1111/nph.13132
   Calbó J, 2012, TETHYS-J MEDITERR ME, P13, DOI 10.3369/tethys.2012.9.02
   Campbell AJ, 2012, BASIC APPL ECOL, V13, P363, DOI 10.1016/j.baae.2012.04.003
   Connolly J, 2013, J ECOL, V101, P344, DOI 10.1111/1365-2745.12052
   Cooper J. P., 1968, Herbage Abstracts, V38, P167
   Cornell J.A., 1990, Experiments with Mixtures: Designs, Models, and the Analysis of Mixture Data, V2nd, DOI DOI 10.1198/004017002320256620
   Cummins S, 2021, SCI TOTAL ENVIRON, V792, DOI 10.1016/j.scitotenv.2021.148163
   Delgado I., 2001, Options Mediterraneennes. Serie A, Seminaires Mediterraneens, P141
   Delgado I., 2014, OPTIONS MEDITERRAN A
   Delgado I., 1984, CULTIVO ALFALFA REGA, P45
   Díaz S, 2001, TRENDS ECOL EVOL, V16, P646, DOI 10.1016/S0169-5347(01)02283-2
   Dooley A, 2015, ECOL LETT, V18, P1242, DOI 10.1111/ele.12504
   Draper N.R., 1998, APPL REGRESSION ANAL, P736, DOI DOI 10.1002/9781118625590
   Ehrmann J, 2014, PLANT SOIL, V376, P1, DOI 10.1007/s11104-013-1921-8
   Ergon Å, 2018, EUR J AGRON, V92, P97, DOI 10.1016/j.eja.2017.09.016
   Finn JA, 2018, AGR ECOSYST ENVIRON, V258, P149, DOI 10.1016/j.agee.2018.02.014
   Frame J., 2005, Forage legumes for temperate grasslands
   FUKAI S, 1993, FIELD CROP RES, V34, P247, DOI 10.1016/0378-4290(93)90117-6
   Grange G, 2021, J APPL ECOL, V58, P1864, DOI 10.1111/1365-2664.13894
   Grant K, 2014, ECOL RES, V29, P991, DOI 10.1007/s11284-014-1187-5
   Hadjigeorgiou I., 2004, P 20 EGF GEN M
   Hannaway DB., 1999, PERENNIAL RYEGRASS L
   Hauggaard-Nielsen H, 2003, NUTR CYCL AGROECOSYS, V65, P289, DOI 10.1023/A:1022612528161
   Haughey E, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-33262-9
   Heuze V., 2015, COCKSFOOT DACTYLIS G
   Heuze V., 2019, WHITE CLOVER TRIFOLI
   Homulle Z, 2022, PLANT SOIL, V471, P1, DOI 10.1007/s11104-021-05165-8
   Hooper DU, 2005, ECOL MONOGR, V75, P3, DOI 10.1890/04-0922
   Hybner R.M., 2012, MT82 USDA NAT RES CO
   Hycka M., 1973, PASTOS, V3, P240
   Hycka M., 1974, PASTOS, V4, P170
   Hycka M., 1975, PASTOS, V5, P188
   Isbell F, 2015, NATURE, V526, P574, DOI 10.1038/nature15374
   Jahufer Z., 2001, AG0705 DEP NAT RES E
   Kikvidze Z, 2010, POSITIVE PLANT INTERACTIONS AND COMMUNITY DYNAMICS, P17
   Kirschenmann FL, 2007, AGRON J, V99, P373, DOI 10.2134/agronj2006.0104
   Kirwan L, 2007, J ECOL, V95, P530, DOI 10.1111/j.1365-2745.2007.01225.x
   Kirwan L., 2014, Ecology, V95, P2680, DOI 10.1890/14-0170.1
   Kirwan L, 2009, ECOLOGY, V90, P2032, DOI 10.1890/08-1684.1
   Kleen J, 2011, J AGR SCI-CAMBRIDGE, V149, P73, DOI 10.1017/S0021859610000456
   Komainda M, 2020, EUR J AGRON, V119, DOI 10.1016/j.eja.2020.126116
   Lamp CA., 1990, Grasses of temperate Australia. A field guide
   Lattimore MA, 2012, PASTURE VARIETIES US
   Li L, 2014, NEW PHYTOL, V203, P63, DOI 10.1111/nph.12778
   Lithourgidis AS, 2011, AUST J CROP SCI, V5, P396
   Lloveras J., 1999, Pastos, V29, P145
   Lüscher A, 2022, GRASS FORAGE SCI, V77, P235, DOI 10.1111/gfs.12578
   McIntire EJB, 2014, NEW PHYTOL, V201, P403, DOI 10.1111/nph.12478
   McKenna P, 2018, FIELD CROP RES, V221, P38, DOI 10.1016/j.fcr.2018.02.006
   Montserrat P., 1964, 5 REUN CIENT SEEP JA, P131
   Montserrat P., 1984, PASTOS, V14, P133
   Mora-Ortiz M, 2018, PLANT GENET RESOUR-C, V16, P403, DOI [10.1017/S1479262118000230, 10.1017/s1479262118000230]
   Mueller-Harvey I, 2019, CROP SCI, V59, P861, DOI 10.2135/cropsci2017.06.0369
   Neal JS, 2009, CROP PASTURE SCI, V60, P1071, DOI 10.1071/CP09059
   NIGGLI U., 2009, Low Greenhouse Gas Agriculture: Mitigation and Adaptation Potential of Sustainable Farming Systems, P2
   Nyfeler D, 2009, J APPL ECOL, V46, P683, DOI 10.1111/j.1365-2664.2009.01653.x
   Nyfeler D, 2011, AGR ECOSYST ENVIRON, V140, P155, DOI 10.1016/j.agee.2010.11.022
   Olesen J E., 2004, Farm Policy Journal, V1, P36
   Pappa VA, 2011, AGR ECOSYST ENVIRON, V141, P153, DOI 10.1016/j.agee.2011.02.025
   Peeters A., 2006, Sustainable grassland productivity: Proceedings of the 21st General Meeting of the European Grassland Federation, Badajoz, Spain, 3-6 April, 2006, P205
   Picasso VD, 2008, CROP SCI, V48, P331, DOI 10.2135/cropsci2007.04.0225
   Porqueddu C, 2016, GRASS FORAGE SCI, V71, P1, DOI 10.1111/gfs.12212
   POWO (Plants of the World Online), 2019, Facilitated by the Royal Botanic Gardens, Kew
   Psyllos G, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14084623
   Pujol i Palol M., 1984, Pastos, V14, P1
   Ramseier D, 2005, J ECOL, V93, P502, DOI 10.1111/j.1365-2745.2005.00999.x
   Ribas A, 2015, PLANT SOIL, V391, P93, DOI 10.1007/s11104-015-2407-7
   Sebastià MT, 2011, AGRON SUSTAIN DEV, V31, P533, DOI 10.1007/s13593-011-0008-2
   Sunil,, 2020, Forage Research, V46, P105
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Suter M, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-82162-y
   Szumigalski AR, 2006, CAN J PLANT SCI, V86, P865, DOI 10.4141/P05-074
   Tilman D, 2002, NATURE, V418, P671, DOI 10.1038/nature01014
   Tilman D, 2014, ANNU REV ECOL EVOL S, V45, P471, DOI 10.1146/annurev-ecolsys-120213-091917
   Trenbath B. R., 1974, Advances in Agronomy, V26, P177, DOI 10.1016/S0065-2113(08)60871-8
   UPNA, 2019, FLOR PRAT FORR CULT
   van Ruijven J, 2003, ECOL LETT, V6, P910, DOI 10.1046/j.1461-0248.2003.00516.x
   Vandermeer J., 1989, The ecology of intercropping.
   Volaire F, 2009, CROP SCI, V49, P2386, DOI 10.2135/cropsci2009.06.0317
   Volaire F, 2014, EUR J AGRON, V52, P81, DOI 10.1016/j.eja.2013.10.002
   Weisser WW, 2017, BASIC APPL ECOL, V23, P1, DOI 10.1016/j.baae.2017.06.002
   Yu Y, 2015, FIELD CROP RES, V184, P133, DOI 10.1016/j.fcr.2015.09.010
NR 87
TC 2
Z9 2
U1 5
U2 13
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0167-8809
EI 1873-2305
J9 AGR ECOSYST ENVIRON
JI Agric. Ecosyst. Environ.
PD OCT 15
PY 2023
VL 356
AR 108601
DI 10.1016/j.agee.2023.108601
EA JUN 2023
PG 11
WC Agriculture, Multidisciplinary; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Environmental Sciences & Ecology
GA K4VG3
UT WOS:001016426700001
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Khan, QR
   Xinshu, M
   Qamri, GM
   Nawaz, A
AF Khan, Qasim Raza
   Xinshu, Mao
   Qamri, Ghulam Muhammad
   Nawaz, Ahmad
TI From COVID to conflict: Understanding the deriving forces of environment
   and implications for natural resources
SO RESOURCES POLICY
LA English
DT Article
DE COVID-19; Natural resources; Technology innovation; Financial
   development
ID FOREIGN DIRECT-INVESTMENT; ECONOMIC-GROWTH; FINANCIAL DEVELOPMENT;
   INSTITUTIONAL QUALITY; ENERGY-CONSUMPTION; TRADE OPENNESS; KUZNETS
   CURVE; AIR-POLLUTION; COUNTRIES; ELECTRICITY
AB In the contemporary world, the importance of natural resources is increasing day by day especially due to extraordinary circumstances, i.e., COVID-19 and global conflicts. The abundance of natural resource is considered competitive advantage and crucial for sustainable development. However, the role of natural resources can be questionable especially if its impact on the economy is negative. Sustainable use of natural resources is currently the biggest challenge for governance. Following these footprints, the study aims to revisit a novel perspective of natural resources in the context of global conflicts using data from Asian economies for the period of 1996-2020. In this pursuit, this study investigates how governance balances macroeconomic variables with sustainable development to account for effective climate change adaptation, mitigation efforts and integral to control conflicts. The second-generation test of CIPS and CADF are used to deal with cross-sectional dependence issues and Westerlund cointegration to estimate long-run relationships. Furthermore, the long-run coefficients are estimated by the PMG estimator using dynamic panel ARDL approach. The findings confirm that surpassing the threshold level of governance is essential to promote environmental quality and preservation of natural resources. The region needs to promote steward policy for resources. This can take the form of nationalizing resource assets, increasing taxes and royalties on resource extraction to ensure sustainable development. The handlers need to design polices supportive to renewable energy consumption, endorse IT based industry solution, encourage high-tech inward FDI, promote green financing and support sustainable development.
C1 [Khan, Qasim Raza] Beijing Technol & Business Univ, Sch Econ, Beijing, Peoples R China.
   [Xinshu, Mao] Beijing Technol & Business Univ, Sch Business, Beijing, Peoples R China.
   [Qamri, Ghulam Muhammad] Nankai Univ Tianjin, Sch Econ, Tianjin 300071, Peoples R China.
   [Nawaz, Ahmad] Univ Sahiwal, Dept Econ, Sahiwal, Pakistan.
C3 Beijing Technology & Business University; Beijing Technology & Business
   University
RP Khan, QR (corresponding author), Beijing Technol & Business Univ, Sch Econ, Beijing, Peoples R China.; Xinshu, M (corresponding author), Beijing Technol & Business Univ, Sch Business, Beijing, Peoples R China.
EM qasi.raza@gmail.com; maoxinshu@163.com; gmqammar@hotmail.com;
   ahmadnawaz@uosahiwal.edu.pk
RI Qamri, Ghulam Muhammad/AGN-6031-2022; Khan, Qasim/IQT-2925-2023; NAWAZ,
   AHMAD/GPK-0849-2022
OI Khan, Qasim Raza/0000-0003-1835-0239; NAWAZ, AHMAD/0000-0001-8834-7225
CR Acheampong AO, 2020, ENERG ECON, V88, DOI 10.1016/j.eneco.2020.104768
   Adams Samuel., 2016, Foreign Trade Review, V51, P328, DOI DOI 10.1177/0015732516650820
   Ahmad M, 2021, ECON INNOV NEW TECH, V30, P89, DOI 10.1080/10438599.2019.1684643
   Alam MM, 2020, RENEW ENERG, V145, P382, DOI 10.1016/j.renene.2019.06.054
   Ali G, 2009, HEXAG SER HUM ENVIRO, V4, P159
   Ali S, 2020, ENVIRON SCI POLLUT R, V27, P11671, DOI 10.1007/s11356-020-07768-7
   Alonso JM, 2017, J POLICY MODEL, V39, P333, DOI 10.1016/j.jpolmod.2017.01.007
   Alzard MH, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11082367
   Anwar A, 2021, GLOB BUS REV, DOI 10.1177/09721509211039392
   Apergis N, 2015, ECOL INDIC, V52, P16, DOI 10.1016/j.ecolind.2014.11.026
   Baloch MA, 2022, ENVIRON TECHNOL, V43, P2290, DOI 10.1080/09593330.2021.1874542
   Balsalobre-Lorente D, 2018, ENERG POLICY, V113, P356, DOI 10.1016/j.enpol.2017.10.050
   Barbier EB, 2015, ESTUAR COAST SHELF S, V165, pA1, DOI 10.1016/j.ecss.2015.05.035
   Cameron AColin Pravin K Trivedi., 2009, Microeconometrics with STATA
   Chen F, 2022, GONDWANA RES, V110, P114, DOI 10.1016/j.gr.2022.06.010
   Cheng C, 2019, SCI TOTAL ENVIRON, V668, P1328, DOI 10.1016/j.scitotenv.2019.02.063
   Huynh CM, 2019, APPL ECON LETT, V26, P1388, DOI 10.1080/13504851.2018.1563668
   Danish, 2021, RENEW SUST ENERG REV, V150, DOI 10.1016/j.rser.2021.111433
   Danish, 2020, SCI TOTAL ENVIRON, V712, DOI 10.1016/j.scitotenv.2020.136504
   Danish, 2019, SCI TOTAL ENVIRON, V678, P632, DOI 10.1016/j.scitotenv.2019.05.028
   Destek MA, 2019, SCI TOTAL ENVIRON, V650, P2483, DOI 10.1016/j.scitotenv.2018.10.017
   ESCAP U., 2021, EC SOC SURV AS PAC 2
   ESCAP U., 2020, COVID 19 S AS NAT ST
   Fallesen D., 2019, S ASIA NEEDS ACT ONE, V11
   Ferreira MA, 2008, J FINANC ECON, V88, P499, DOI 10.1016/j.jfineco.2007.07.003
   Frees E. W., 2004, LONGITUDINAL PANEL D
   Friedman M, 1937, J AM STAT ASSOC, V32, P675, DOI 10.2307/2279372
   Güney T, 2022, RENEW ENERG, V184, P791, DOI 10.1016/j.renene.2021.11.124
   Hansen BE, 1999, J ECONOMETRICS, V93, P345, DOI 10.1016/S0304-4076(99)00025-1
   Hao Y, 2020, INT REV ECON FINANC, V69, P1132, DOI 10.1016/j.iref.2018.12.006
   Hashmi SM, 2022, ENVIRON SCI POLLUT R, V29, P24049, DOI 10.1007/s11356-021-17488-1
   Herrera-Echeverri H, 2014, J BUS RES, V67, P1921, DOI 10.1016/j.jbusres.2013.11.020
   Huang JP, 2020, LAND DEGRAD DEV, V31, P1380, DOI 10.1002/ldr.3556
   Hunjra A.I., 2022, FINANC RES LETT
   Ikpesu F, 2019, COGENT ECON FINANC, V7, DOI 10.1080/23322039.2019.1607127
   Im KS, 2003, J ECONOMETRICS, V115, P53, DOI 10.1016/S0304-4076(03)00092-7
   Jadhav P, 2012, PROCD SOC BEHV, V37, P5, DOI 10.1016/j.sbspro.2012.03.270
   Jahanger A, 2022, SUSTAIN DEV, V30, P1749, DOI 10.1002/sd.2345
   Javorcik BS, 2009, J INT MONEY FINANC, V28, P605, DOI 10.1016/j.jimonfin.2009.01.003
   Kang XQ, 2021, ENERGIES, V14, DOI 10.3390/en14123470
   Khan H, 2022, ENVIRON SCI POLLUT R, V29, P13356, DOI 10.1007/s11356-021-16626-z
   Khan Y, 2022, RENEW ENERG, V190, P752, DOI 10.1016/j.renene.2022.03.140
   Kremer S, 2013, EMPIR ECON, V44, P861, DOI 10.1007/s00181-012-0553-9
   Kulin J, 2019, INT J SOCIOL, V49, P110, DOI 10.1080/00207659.2019.1582964
   Le TH, 2019, ENERG POLICY, V129, P436, DOI 10.1016/j.enpol.2019.02.038
   Levine R, 2005, HANDB ECON, V22, P865
   Li WQ, 2022, ECON RES-EKON ISTRAZ, V35, P1765, DOI 10.1080/1331677X.2021.1914125
   Mahalik MK, 2021, ENERG POLICY, V149, DOI 10.1016/j.enpol.2020.112015
   Murshed M, 2022, GEOJOURNAL, V87, P2345, DOI 10.1007/s10708-020-10370-6
   Nathaniel SP, 2020, J PUBLIC AFF, V20, DOI 10.1002/pa.2037
   Naz S, 2019, ENVIRON SCI POLLUT R, V26, P2806, DOI 10.1007/s11356-018-3837-6
   Ozcan B, 2018, ENVIRON SCI POLLUT R, V25, P4174, DOI 10.1007/s11356-017-0825-1
   Pahlavani M., 2009, INT J APPL EC QUANT, V6, P61
   Pao HT, 2011, ENERGY, V36, P685, DOI 10.1016/j.energy.2010.09.041
   Park Y, 2018, ENVIRON SCI POLLUT R, V25, P30708, DOI 10.1007/s11356-018-3108-6
   Pesaran M., 2004, CAMBRIDGE WORKING PA, DOI [DOI 10.1007/s00181-020-01875-7, DOI 10.1007/S00181-020-01875-7]
   Pesaran MH, 2007, J APPL ECONOMET, V22, P265, DOI 10.1002/jae.951
   Qamri GM, 2022, RESOUR POLICY, V78, DOI 10.1016/j.resourpol.2022.102765
   Rafei M, 2022, RESOUR POLICY, V78, DOI 10.1016/j.resourpol.2022.102848
   Saint Akadiri S, 2019, ENERG POLICY, V132, P803, DOI 10.1016/j.enpol.2019.06.040
   Saud S, 2019, ENVIRON SCI POLLUT R, V26, P2253, DOI 10.1007/s11356-018-3688-1
   Shabani ZD, 2019, ENERGY, V169, P1064, DOI 10.1016/j.energy.2018.11.062
   Shahbaz M, 2018, ENERG ECON, V74, P843, DOI 10.1016/j.eneco.2018.07.020
   Shahbaz M, 2017, ENERG ECON, V63, P199, DOI 10.1016/j.eneco.2017.01.023
   Shahbaz M, 2012, GLOB BUS REV, V13, P201, DOI 10.1177/097215091201300202
   Shao QL, 2019, J CLEAN PROD, V227, P724, DOI 10.1016/j.jclepro.2019.04.206
   Shittu W, 2021, RESOUR POLICY, V73, DOI 10.1016/j.resourpol.2021.102227
   Siddique H.M.A., 2016, Bull. Bus. Econ., V5, P210
   Sinha A, 2019, RESOUR POLICY, V63, DOI 10.1016/j.resourpol.2019.101413
   Tamazian A, 2010, ENERG ECON, V32, P137, DOI 10.1016/j.eneco.2009.04.004
   Tugcu CT, 2018, ECONOMICS AND ECONOMETRICS OF THE ENERGY-GROWTH NEXUS, P255, DOI 10.1016/B978-0-12-812746-9.00008-0
   Umar M, 2020, J ENVIRON MANAGE, V271, DOI 10.1016/j.jenvman.2020.111026
   Van Alstine J., 2010, HDB TRADE ENV
   Wang KY, 2019, RESOUR POLICY, V60, P203, DOI 10.1016/j.resourpol.2019.01.001
   Welsch H, 2008, ECOL ECON, V67, P503, DOI 10.1016/j.ecolecon.2008.01.004
   Westerlund J, 2007, OXFORD B ECON STAT, V69, P709, DOI 10.1111/j.1468-0084.2007.00477.x
   Xu CH, 2021, AFR DEV REV, V33, P193, DOI 10.1111/1467-8268.12511
   Zaman K, 2020, J POVERTY, V24, P222, DOI 10.1080/10875549.2019.1678553
   Zhang SF, 2018, ENERG POLICY, V114, P165, DOI 10.1016/j.enpol.2017.12.002
NR 79
TC 16
Z9 17
U1 4
U2 11
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0301-4207
EI 1873-7641
J9 RESOUR POLICY
JI Resour. Policy
PD JUN
PY 2023
VL 83
AR 103700
DI 10.1016/j.resourpol.2023.103700
EA MAY 2023
PG 12
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA H9NM7
UT WOS:000999144300001
PM 37206156
OA Green Published, Bronze
DA 2025-01-10
ER

PT J
AU Garba, I
   Abdourahamane, ZS
   Mirzabaev, A
AF Garba, Issa
   Abdourahamane, Zakari Seybou
   Mirzabaev, Alisher
TI A Drought Dataset Based on a Composite Index for the Sahelian Climate
   Zone of Niger
SO DATA
LA English
DT Article; Data Paper
DE CHIRPS; drought; LST; MODIS; NDVI; Sahel
ID LAND-SURFACE TEMPERATURE; EMISSIVITY SEPARATION; MODIS; DESERTIFICATION;
   VALIDATION; RAINFALL; MODEL
AB Agricultural drought monitoring in Niger is relevant for the implementation of effective early warning systems and for improving climate change adaptation strategies. However, the scarcity of in situ data hampers an efficient analysis of drought in the country. The present dataset was created for agricultural drought characterization in the Sahelian climate zone of Niger. The dataset comprises the three-month scale and monthly time series of a composite drought index (CDI) and their corresponding drought classes at a spatial resolution of 1 km(2) for the period 2000-2020. The CDI was generated from remote sensing data, namely CHIRPS (Climate Hazards Group InfraRed Precipitation with Stations), normalized difference vegetation index (NDVI) and land surface temperature (LST) from MODIS (Moderate Resolution Imaging Spectroradiometer). A weighing technique combining entropy and Euclidian distance was applied in the CDI derivation. From the present dataset, the extraction of the CDI time series can be performed for any location of the study area using its geographic coordinates. Therefore, seasonal drought characteristics, such as onset, end, duration, severity and frequency can be computed from the CDI time series using the theory of runs. The availability of the present dataset is relevant for the socio-economic assessment of drought impacts at small spatial scales, such as district and household level. This dataset is also important for the assessment of drought characteristics in remote areas or areas inaccessible due to civil insecurity in the country as it was entirely generated from remote sensing data. Finally, by including temperature data, the dataset enables drought modelling under global warming.
C1 [Garba, Issa; Abdourahamane, Zakari Seybou] Agrhymet Reg Ctr, POB 11011, Niamey, Niger.
   [Mirzabaev, Alisher] Univ Bonn, Ctr Dev Res, D-53113 Bonn, Germany.
C3 University of Bonn
RP Abdourahamane, ZS (corresponding author), Agrhymet Reg Ctr, POB 11011, Niamey, Niger.
EM abdourahamane.zakari@cilss.int
RI Mirzabaev, Alisher/ABC-9873-2020
OI Mirzabaev, Alisher/0000-0002-5223-7160; Abdourahamane, Zakari
   Seybou/0000-0001-8915-1558
FU German Federal Ministry for Economic Cooperation and Development (BMZ)
   [2014.0690.9]
FX This research was funded by the Program of Accompanying Research on
   Agricultural Innovation (PARI) [2014.0690.9], supported by the German
   Federal Ministry for Economic Cooperation and Development (BMZ).
CR Abdourahamane ZS, 2022, J ARID ENVIRON, V204, DOI 10.1016/j.jaridenv.2022.104789
   Abdourahamane ZS, 2019, HYDROL PROCESS, V33, P1127, DOI 10.1002/hyp.13391
   Al Adaileh H, 2019, EARTH SYST ENVIRON, V3, P445, DOI 10.1007/s41748-019-00118-9
   Anderson MC, 2011, J CLIMATE, V24, P2025, DOI 10.1175/2010JCLI3812.1
   [Anonymous], 1997, FAOSTAT STAT DAT
   [Anonymous], 2007, POLICY RES WORKING P
   Balint Z., 2013, DEV EARTH SURFACE PR, P341
   Brandt M, 2016, REMOTE SENS ENVIRON, V183, P215, DOI 10.1016/j.rse.2016.05.027
   Coll C, 2016, IEEE T GEOSCI REMOTE, V54, P3061, DOI 10.1109/TGRS.2015.2510426
   CRED, 2015, HUM COST NAT DIS GLO, P59
   Didan K., NASA EOSDIS LAND PRO, DOI [10.5067/MODIS/MOD13A3.006, DOI 10.5067/MODIS/MOD13A3.006]
   FOLLAND C, 1991, J FORECASTING, V10, P21, DOI 10.1002/for.3980100104
   Funk C.C., 2014, A Quasi-Global Precipitation Time Series for Drought Monitoring
   Gbode I.E., 2022, CLIMATE IMPACTS EXTR, P65
   Giannini A, 2008, GLOBAL PLANET CHANGE, V64, P119, DOI 10.1016/j.gloplacha.2008.05.004
   Guha-Sapir D., 2014, EM DAT INT DISASTER
   Hein L, 2006, GLOBAL CHANGE BIOL, V12, P751, DOI 10.1111/j.1365-2486.2006.01135.x
   Hulley GC, 2012, J GEOPHYS RES-ATMOS, V117, DOI 10.1029/2012JD018506
   Janicot S, 1996, GEOPHYS RES LETT, V23, P515, DOI 10.1029/96GL00246
   Joly M, 2007, CLIM DYNAM, V29, P1, DOI 10.1007/s00382-006-0215-8
   Liu Q, 2020, SCI TOTAL ENVIRON, V711, DOI 10.1016/j.scitotenv.2019.134585
   Malakar NK, 2016, REMOTE SENS ENVIRON, V182, P252, DOI 10.1016/j.rse.2016.04.023
   MCKEE TB, 1993, P 8 C APPL CLIM AN C
   Rouse J.W., 1974, Monitoring vegetation systems in the great plains with ERTS
   Van Rossum G., 2009, Python 3 Reference Manual
   Vicente-Serrano SM, 2015, REMOTE SENS-BASEL, V7, P4391, DOI 10.3390/rs70404391
   Wan ZM, 2014, REMOTE SENS ENVIRON, V140, P36, DOI 10.1016/j.rse.2013.08.027
   Waseem M, 2015, J HYDROL, V527, P30, DOI 10.1016/j.jhydrol.2015.04.044
   Wilhite DA, 2005, BOOK SOIL P, V86, P3
   World Bank Group, 2017, REP NIG PRIOR END PO
   Zargar A, 2011, ENVIRON REV, V19, P333, DOI [10.1139/A11-013, 10.1139/a11-013]
NR 31
TC 2
Z9 2
U1 0
U2 7
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2306-5729
J9 DATA
JI Data
PD FEB
PY 2023
VL 8
IS 2
AR 28
DI 10.3390/data8020028
PG 10
WC Computer Science, Information Systems; Multidisciplinary Sciences
WE Emerging Sources Citation Index (ESCI)
SC Computer Science; Science & Technology - Other Topics
GA 9G7CP
UT WOS:000938306800001
OA gold
DA 2025-01-10
ER

PT J
AU Huang, JW
   Shen, S
   Zhao, M
   Cheng, CX
AF Huang, Junwang
   Shen, Shi
   Zhao, Min
   Cheng, Changxiu
TI Assessment of Summer Regional Outdoor Heat Stress and Regional Comfort
   in the Beijing-Tianjin-Hebei Agglomeration Over the Last 40 Years
SO GEOHEALTH
LA English
DT Article
ID THERMAL CLIMATE INDEX; TEMPERATURE; UTCI; URBANIZATION; PATTERNS;
   DATASET; TOURISM; WAVES
AB Outdoor thermal comfort (OTC) is critical for public health, labor productivity, and human life. Growing extreme heat events caused by climate change have a serious impact on OTCs, especially in urban areas. Quantitatively characterizing and evaluating the spatiotemporal changes in OTCs are essential, and more applications are needed in urban agglomerations. Therefore, taking the Beijing-Tianjin-Hebei (BTH) urban agglomeration as the study area, this study aimed to quantitatively assess the summer regional OTC from 1981 to 2020. First, the Universal Thermal Climate Index (UTCI) was used as the indicator of daily thermal stress, and then a Composite Thermal Comfort Score was proposed to evaluate the long-term, summertime, regional OTC considering the extent, duration, and intensity of daytime and nighttime thermal stress. The results showed that (a) the increase in UTCI (0.32?/10a at daytime and 0.21?/10a at nighttime) and heat stress frequency (0.88 at daytime and 0.39 d/10a at nighttime) were manifested over BTH, indicating a worse OTC. Spatial and temporal heterogeneity was also demonstrated. (b) The general OTC showed a decreasing north-south gradient pattern. At daytime, the northern mountainous zone presented the best OTC, the southern plain zone, especially Hengshui, Langfang, and Cangzhou, showed the worst. At nighttime, the mountain-plain transition zone showed the best OTC, the northern mountainous zone showed the worst since more cold stress occurred. Our findings will be useful in informing climate change adaptation strategies to ensure urban resilience as extreme heat increases in the context of climate change.
C1 [Huang, Junwang; Shen, Shi; Cheng, Changxiu] Beijing Normal Univ, Key Lab Environm Change & Nat Disaster, Beijing, Peoples R China.
   [Huang, Junwang; Shen, Shi; Zhao, Min; Cheng, Changxiu] Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing, Peoples R China.
   [Huang, Junwang; Shen, Shi; Zhao, Min] Beijing Normal Univ, Fac Geog Sci, Ctr Geodata & Anal, Beijing, Peoples R China.
   [Cheng, Changxiu] Natl Tibetan Plateau Data Ctr, Beijing, Peoples R China.
C3 Beijing Normal University; Beijing Normal University; Beijing Normal
   University
RP Shen, S (corresponding author), Beijing Normal Univ, Key Lab Environm Change & Nat Disaster, Beijing, Peoples R China.; Shen, S; Zhao, M (corresponding author), Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing, Peoples R China.; Shen, S; Zhao, M (corresponding author), Beijing Normal Univ, Fac Geog Sci, Ctr Geodata & Anal, Beijing, Peoples R China.
EM shens@bnu.edu.cn; zhaomin@bnu.edu.cn
RI Shen, Shi/W-4256-2019
OI chen, shi/0000-0001-9126-229X
FU National Key Research and Development Plan of China; Strategic Priority
   Research Program of the Chinese Academy of Sciences; China Postdoctoral
   Science Foundation;  [2019YFA0606901];  [XDA23100303];  [2022T150057]
FX Acknowledgments Supported by the National Key Research and Development
   Plan of China (2019YFA0606901), the Strategic Priority Research Program
   of the Chinese Academy of Sciences (XDA23100303), and the China
   Postdoctoral Science Foundation (2022T150057).
CR Abed SS, 2018, ATMOSPHERE-BASEL, V9, DOI 10.3390/atmos9070250
   Asghari M, 2019, WEATHER, V74, pS57, DOI 10.1002/wea.3612
   Baaghideh M., 2016, Nat. Environ. Change, V2, P165
   Baejczyk K., 2010, Misc. Geogr, V14, DOI DOI 10.2478/MGRSD-2010-0009
   Bian YJ, 2022, J HYDROL, V612, DOI 10.1016/j.jhydrol.2022.128154
   Blazejczyk K., 2001, Proceedings of the First international Workshop on Climate Tourism and Recreation, Neos Marmaras, Greece, P133
   Blazejczyk K, 2021, INT J BIOMETEOROL, V65, P1461, DOI 10.1007/s00484-021-02174-1
   Blazejczyk K, 2014, ERDE, V145, P16
   Blazejczyk K, 2013, GEOGR POL, V86, P5, DOI 10.7163/GPol.2013.1
   Blazejczyk K, 2012, INT J BIOMETEOROL, V56, P515, DOI 10.1007/s00484-011-0453-2
   Bröde P, 2012, INT J BIOMETEOROL, V56, P481, DOI 10.1007/s00484-011-0454-1
   Bröde P, 2012, INT J BIOMETEOROL, V56, P471, DOI 10.1007/s00484-011-0452-3
   Burke M, 2015, NATURE, V527, P235, DOI 10.1038/nature15725
   Chen J., 2019, POPULATION BEIJING T
   Chen MX, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12213491
   Coccolo S, 2016, URBAN CLIM, V18, P33, DOI 10.1016/j.uclim.2016.08.004
   Copernicus Climate Change Service, 2024, ECMWR
   Di Napoli C, 2021, GEOSCI DATA J, V8, P2, DOI 10.1002/gdj3.102
   Di Napoli C, 2020, INT J BIOMETEOROL, V64, P1233, DOI 10.1007/s00484-020-01900-5
   Di Napoli C, 2018, INT J BIOMETEOROL, V62, P1155, DOI 10.1007/s00484-018-1518-2
   Dosio A, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aab827
   Dosio A, 2017, CLIM DYNAM, V49, P493, DOI 10.1007/s00382-016-3355-5
   ECMWF, 2019, ERA5 LAND DAT DOC
   Fanger P. O., 1970, Thermal comfort. Analysis and applications in environmental engineering.
   Fiala D, 2012, INT J BIOMETEOROL, V56, P429, DOI 10.1007/s00484-011-0424-7
   Fu XC, 2022, ATMOSPHERE-BASEL, V13, DOI 10.3390/atmos13050739
   Gagge AP., 1986, ASHRAE T, V92, P709
   Geletic J, 2020, URBAN CLIM, V31, DOI 10.1016/j.uclim.2020.100588
   GONZALEZ RR, 1974, INT J BIOMETEOROL, V18, P1, DOI 10.1007/BF01450660
   Gulev S. K., 2021, Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, DOI [DOI 10.1017/9781009157896.004, 10.1017/9781009157896, 10.1017/9781009157896.004]
   Havenith G, 2012, INT J BIOMETEOROL, V56, P461, DOI 10.1007/s00484-011-0451-4
   Hersbach H., 2018, ERA5 hourly data on pressure levels from 1959 to present, DOI 10.24381
   Hou L, 2021, IEEE J-STARS, V14, P7516, DOI 10.1109/JSTARS.2021.3094559
   ISO, 2004, ISO 7933
   Jendritzky G, 2002, 15TH CONFERENCE ON BIOMETEOROLOGY AND AEROBIOLOGY JOINT WITH THE 16TH INTERNATIONAL CONGRESS ON BIOMETEOROLOGY, P129
   Jendritzky G., 1990, BEITR GE AKADEMIE F, V114
   Jendritzky G., 2008, P 18 INT C BIOMETEOR, P22
   Jendritzky G, 2012, INT J BIOMETEOROL, V56, P421, DOI 10.1007/s00484-011-0513-7
   Kang S, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-05252-y
   Kendall M. G., 1948, Rank correlation methods.
   Koppe C., 2004, Heat Waves: Risks and Responses, V2
   Krzyzewska A, 2021, INT J BIOMETEOROL, V65, P1497, DOI 10.1007/s00484-020-01965-2
   Kuchcik M, 2017, GEOGRAPHICAL STUDIES, V263, P1
   Kuchcik M, 2021, INT J BIOMETEOROL, V65, P1529, DOI 10.1007/s00484-020-01995-w
   [雷杨娜 Lei Yangna], 2020, [干旱区地理, Arid Land Geography], V43, P1417
   Leroyer S, 2018, URBAN CLIM, V25, P64, DOI 10.1016/j.uclim.2018.05.003
   Li JN, 2018, BUILD ENVIRON, V145, P50, DOI 10.1016/j.buildenv.2018.08.059
   [李鹏飞 Li Pengfei], 2015, [干旱区资源与环境, Journal of Arid Land Resources and Environment], V29, P137
   Li QX, 2022, NAT CLIM CHANGE, V12, P343, DOI 10.1038/s41558-022-01313-9
   Liu Y, 2020, SENSORS-BASEL, V20, DOI 10.3390/s20041197
   Luo M, 2021, EARTHS FUTURE, V9, DOI 10.1029/2020EF001848
   Luo M, 2018, GEOPHYS RES LETT, V45, P13060, DOI 10.1029/2018GL080306
   Ma F, 2021, GEOPHYS RES LETT, V48, DOI 10.1029/2021GL093721
   Ma F, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL087809
   Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Matzarakis A, 2007, INT J BIOMETEOROL, V51, P323, DOI 10.1007/s00484-009-0261-0
   MAYER H, 1987, THEOR APPL CLIMATOL, V38, P43, DOI 10.1007/BF00866252
   Milovanovic J, 2020, SINTEZA 2020 INT SCI, P70, DOI [10.15308/Sinteza-2020-70-77, DOI 10.15308/SINTEZA-2020-70-77]
   Mohammadi B, 2018, APPL ECOL ENV RES, V16, P5423, DOI 10.15666/aeer/1605_54235445
   Mourato S, 2010, INT J CLIMATOL, V30, P1784, DOI 10.1002/joc.2021
   Muller M., 2007, Information retrieval for music and motion, P69, DOI [DOI 10.1007/978-3-540-74048-34, 10.1007/978-3-540-74048-3_4]
   Nalley D, 2013, ATMOS RES, V132, P375, DOI 10.1016/j.atmosres.2013.06.011
   National Oceanic and Atmospheric Administration (NOAA), 1997, NOAA GLOB VEG IND US
   Okoniewska M, 2021, INT J BIOMETEOROL, V65, P1543, DOI 10.1007/s00484-020-01997-8
   Park CE, 2022, EARTHS FUTURE, V10, DOI 10.1029/2021EF002602
   Pecelj MM, 2020, NAT HAZARD EARTH SYS, V20, P2021, DOI 10.5194/nhess-20-2021-2020
   Perkins-Kirkpatrick SE, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-16970-7
   Rao KK, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-73245-3
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Shen S, 2018, NAT HAZARDS, V92, P1809, DOI 10.1007/s11069-018-3279-y
   Shi ZT, 2021, GEOPHYS RES LETT, V48, DOI 10.1029/2021GL093603
   [司鹏 Si Peng], 2021, [气候与环境研究, Climatic and Environmental Research], V26, P142
   Spencer J., 1971, Search, V2, P172
   Stolwijk J.A.J., 1971, A mathematical model of physiological temperature regulation
   Streinu-Cercel Adrian, 2008, J Med Life, V1, P148
   Sun G. L., 2011, J METEOROLOGY ENV, V27, P18
   Sun Y, 2019, GEOPHYS RES LETT, V46, P11426, DOI 10.1029/2019GL084281
   Talhi A, 2020, INT J BIOMETEOROL, V64, P651, DOI 10.1007/s00484-019-01854-3
   Thorsson S, 2007, INT J CLIMATOL, V27, P1983, DOI 10.1002/joc.1537
   Tomczyk AM, 2020, THEOR APPL CLIMATOL, V139, P893, DOI 10.1007/s00704-019-02998-3
   Vinogradova V, 2021, INT J BIOMETEOROL, V65, P1473, DOI 10.1007/s00484-020-01901-4
   Wang J, 2021, NAT CLIM CHANGE, V11, P1084, DOI 10.1038/s41558-021-01196-2
   Wang YJ, 2022, J APPL METEOROL CLIM, V61, P669, DOI 10.1175/JAMC-D-21-0201.1
   Weihs P, 2012, INT J BIOMETEOROL, V56, P537, DOI 10.1007/s00484-011-0416-7
   Woan G, 2000, CAMBRIDGE HDB PHYS F
   Wu SJ, 2021, SCI TOTAL ENVIRON, V799, DOI 10.1016/j.scitotenv.2021.149166
   Yan YC, 2021, SCI DATA, V8, DOI 10.1038/s41597-021-01010-w
   Yang J, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-21305-1
   Yao R, 2022, URBAN CLIM, V41, DOI 10.1016/j.uclim.2021.101067
   Yazdanpanah H, 2016, TOUR MANAG PERSPECT, V17, P82, DOI 10.1016/j.tmp.2015.12.002
   Zare S, 2019, WEATHER CLIM EXTREME, V26, DOI 10.1016/j.wace.2019.100213
   Zhang WJ, 2021, SCI TOTAL ENVIRON, V800, DOI 10.1016/j.scitotenv.2021.149535
   Zhang Y, 2022, COMMUN EARTH ENVIRON, V3, DOI 10.1038/s43247-022-00404-x
   Zhao M, 2022, EARTH SYST SCI DATA, V14, P517, DOI 10.5194/essd-14-517-2022
   [者萌 Zhe Meng], 2020, [水土保持研究, Research of Soil and Water Conservation], V27, P194
   Zhou LM, 2004, P NATL ACAD SCI USA, V101, P9540, DOI 10.1073/pnas.0400357101
NR 97
TC 8
Z9 9
U1 6
U2 50
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
SN 2471-1403
J9 GEOHEALTH
JI GeoHealth
PD JAN
PY 2023
VL 7
IS 1
AR e2022GH000725
DI 10.1029/2022GH000725
PG 22
WC Environmental Sciences; Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health
GA 8R7GQ
UT WOS:000928059500001
PM 36594002
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Chemeda, BA
   Wakjira, FS
   Hizikias, EB
AF Chemeda, Beshea Abdissa
   Wakjira, Feyera Senbeta
   Hizikias, Emiru Birhane
TI Tree diversity and biomass carbon stock analysis along altitudinal
   gradients in coffee-based agroforestry system of Western Ethiopia
SO COGENT FOOD & AGRICULTURE
LA English
DT Article
DE Agroforestry; carbon; coffee; tree diversity; altitudinal gradient
ID PATTERNS; RICHNESS; BIODIVERSITY; STRATEGIES; LANDSCAPES; MANAGEMENT;
   PLANTS
AB Agroforestry systems are thought to reconcile biodiversity protection with food production and as a means of climate change adaptation and mitigation options. The contribution of a coffee-based agroforestry system to tree diversity and carbon stock along altitudinal gradients in Western Ethiopia was assessed. At 500-m intervals, six transect lines were methodically set up throughout the altitudinal gradient. There were made a total of 60 sample plots, each measuring 40 m by 40 m. A total of 34 woody species were identified. Biomass carbon stocks and tree diversity were quantified across altitudinal gradients. In the middle altitude, there were more woody species (28) than in the top altitude, where there were only a few species (16). The tree plants stored around 40.6 t ha(-1) of biomass carbon on average. Aboveground biomass had a carbon stock of 32.22 C t ha(-1), whereas belowground biomass had a carbon stock of 8.38 C t ha(-1). The lower altitude biomass carbon stocks were substantially bigger than the upper altitude, which were 48.4 C t ha(-1) and 25.67 C t ha(-1), respectively. With increasing altitude, the study found a statistically significant negative link between tree diversity and biomass carbon storage (P < 0.05). The negative link between biomass carbon stock and altitude was that tree parameters that determine the amount of biomass carbon sequestered in a plant, such as basal area, tree diversity, and density, decreased as altitude increased. Despite differences along altitudinal gradients, the systems supported a diverse range of tree species and biomass carbon stocks.
C1 [Chemeda, Beshea Abdissa; Wakjira, Feyera Senbeta] Addis Ababa Univ, Coll Dev Studies, Ctr Environm & Dev, Addis Ababa, Ethiopia.
   [Hizikias, Emiru Birhane] Mekelle Univ, Coll Dryland Agr & Nat Resources, Mekelle, Ethiopia.
C3 Addis Ababa University; Mekelle University
RP Chemeda, BA (corresponding author), Addis Ababa Univ, Environm & Dev, Addis Ababa, Ethiopia.
EM beshabdi2009@yahoo.com
RI Chemeda, Beshea Abdissa/HNR-8407-2023
OI Senbeta, Feyera/0000-0002-6502-4797; Chemeda, Beshea
   Abdissa/0000-0003-0317-5036
FU Center for Environment and Development of Addis Ababa University;
   CLIFF-GRADS
FX The authors are thankful to the Center for Environment and Development
   of Addis Ababa University for providing research funds for Ph.D.
   students under MoE-Ethiopia. We also thank the CLIFF-GRADS to support
   "Improving pro-ductivity and adaptive capacity of Coffee-based
   agroforestry systems for enhancing food security in a changing climate
   in Ethiopia". Our sincere thanks also go to all workers of Agriculture
   and Natural Resources, EFCCA, OFWE, and Coffee and Tea offices of Gimbi
   Zonal and District for their participation in data collection during
   surveying and interview processes.
CR Abera Z, 2015, BMC VET RES, V11, DOI 10.1186/s12917-015-0432-7
   Ali A, 2017, TROP ECOL, V58, P1
   [Anonymous], 2014, J. Energy, DOI [DOI 10.3390/F12070867, 10.3390/f12070867]
   Bekele-Tesemma A, 2007, Useful trees and shrubs of Ethiopia: identification, propagation, and management for 17 agroclimatic zones, P552, DOI DOI 10.1094/PDIS-91-4-0467B
   Buechley ER, 2015, BIOL CONSERV, V188, P50, DOI 10.1016/j.biocon.2015.01.011
   Chave J, 2005, OECOLOGIA, V145, P87, DOI 10.1007/s00442-005-0100-x
   Chave J, 2014, GLOBAL CHANGE BIOL, V20, P3177, DOI 10.1111/gcb.12629
   Chave J, 2009, ECOL LETT, V12, P351, DOI 10.1111/j.1461-0248.2009.01285.x
   CURTIS JT, 1950, ECOLOGY, V31, P434, DOI 10.2307/1931497
   Deressa TT, 2009, GLOBAL ENVIRON CHANG, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Eilu Gerald, 2005, Tropical Ecology, V46, P99
   Eshetu EY, 2020, COGENT FOOD AGR, V6, DOI 10.1080/23311932.2020.1733331
   Esubalew E., 2019, Agric. J. IJOEAR, V5, P13
   Gebrehiwot K, 2019, PLANT DIVERSITY, V41, P220, DOI 10.1016/j.pld.2019.06.005
   Gebrewahid Y, 2019, COGENT FOOD AGR, V5, DOI 10.1080/23311932.2019.1700744
   Gebrewahid Y, 2019, ECOL PROCESS, V8, DOI 10.1186/s13717-019-0190-8
   Gedefaw M., 2014, SCI TECHNOLOGICAL AR, V3, P101, DOI [10.4314/star.v3i1.16, DOI 10.4314/STAR.V3I1.16]
   Gizachew L., 2014, African Crop Science Journal, V22, P807
   Gotelli N.J., 2013, Encyclopedia of Biodiversity, Vsecond, P195, DOI DOI 10.1016/B978-0-12-384719-5.00424-X
   GRIME JP, 1977, AM NAT, V111, P1169, DOI 10.1086/283244
   Hylander K, 2013, CONSERV BIOL, V27, P1031, DOI 10.1111/cobi.12079
   Jamnadass R., 2013, ICRAF WORKING PAPER, DOI [10.5716/wp054.pdf, DOI 10.5716/WP054.PDF]
   Kumar A, 2006, CURR SCI INDIA, V91, P1370
   Kumar BM, 2011, AGR ECOSYST ENVIRON, V140, P430, DOI 10.1016/j.agee.2011.01.006
   Lawton JH, 1999, OIKOS, V84, P177, DOI 10.2307/3546712
   Lin C., 2019, Quality Education. Encyclopedia of the UN Sustainable Development Goals, DOI DOI 10.1007/978-3-319-69902-8_37-1
   Magurran A.E., 1988, Ecological diversity and its measurement, P1, DOI DOI 10.1007/978-94-015-7358-0
   Manaye A, 2021, CARBON BAL MANAGE, V16, DOI 10.1186/s13021-021-00174-7
   Mekonen K, 2011, MAEJO INT J SCI TECH, V5, P312
   Mengistu B., 2016, Nat Resour, V7, P515, DOI [10.4236/nr.2016.710044, DOI 10.4236/NR.2016.710044]
   Mkonda M. Y., 2017, Int. J. Plant Soil Sci, V14, P1, DOI [10.9734/IJPSS/2017/31299, DOI 10.9734/IJPSS/2017/31299]
   Mulatu K., 2020, INT J ECOTOXICOLOGY, V5, P29, DOI [10.11648/j.ijee.20200503.11, DOI 10.11648/J.IJEE.20200503.11]
   Nair P.K.R., 1993, An Introduction to Agroforestry, DOI 10.1007/978-94-011-1608-4
   Nair R., 1993, COOPERATION INT CTR
   Nanda SA, 2018, TROP ECOL, V59, P211
   Nemera F., 2018, EFFECT ALTITUDE GRAD, V8, P1
   Okpiliya F.I., 2012, J ENV EARTH SCI, V2, P2224
   Pausas JG, 2001, J VEG SCI, V12, P153, DOI 10.2307/3236601
   Pearson T., 2005, WINROCK INT, P1
   Reppin S, 2020, AGROFOREST SYST, V94, P203, DOI 10.1007/s10457-019-00383-7
   Santos M, 2022, FRONT ECOL EVOL, V9, DOI 10.3389/fevo.2021.630151
   Shannon C.E., 1963, The Mathematical Theory of Communication
   Sharma CM, 2017, ENERGY ECOL ENVIRON, V2, P404, DOI 10.1007/s40974-017-0067-6
   Sharman C.M., 2009, J AM SCI, V5, P119
   SIMPSON EH, 1949, NATURE, V163, P688, DOI 10.1038/163688a0
   Sistla SA, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0162529
   Sorensen T., 1948, PLOS, V5
   Sudha P., 2007, DEV AGROFORESTRY SEQ, P35
   Tadesse G, 2014, BIOL CONSERV, V169, P384, DOI 10.1016/j.biocon.2013.11.034
   Tesfay F., 2022, Int. J. For. Res, V1, P4729336, DOI DOI 10.1155/2022/4729336
   Tesfaye W, 2016, INT J CLIM CHANG STR, V8, P253, DOI 10.1108/IJCCSM-01-2014-0017
   Toledo-Garibaldi M, 2014, ECOL RES, V29, P1097, DOI 10.1007/s11284-014-1196-4
   Tscharntke T, 2011, J APPL ECOL, V48, P619, DOI 10.1111/j.1365-2664.2010.01939.x
   Tschora H, 2020, GLOB ECOL CONSERV, V22, DOI 10.1016/j.gecco.2020.e00919
   Tsedeke R.E., 2021, ENV SYST RES, V10, P1, DOI [10.1186/s40068-020-00211-3, DOI 10.1186/S40068-020-00211-3]
   Wana D, 2010, J VEG SCI, V21, P617, DOI 10.1111/j.1654-1103.2010.01177.x
   Yohannes H., 2015, AM J ENV PROT, V4, P237, DOI [DOI 10.11648/J.AJEP.20150405.14, 10.11648/j.ajep.20150405.14]
   Zewdie B, 2022, J APPL ECOL, V59, P1198, DOI 10.1111/1365-2664.14130
NR 59
TC 7
Z9 7
U1 2
U2 27
PU TAYLOR & FRANCIS AS
PI OSLO
PA KARL JOHANS GATE 5, NO-0154 OSLO, NORWAY
SN 2331-1932
J9 COGENT FOOD AGR
JI Cogent Food Agr.
PD DEC 31
PY 2022
VL 8
IS 1
AR 2123767
DI 10.1080/23311932.2022.2123767
PG 20
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA 4W7UM
UT WOS:000860363300001
OA gold
DA 2025-01-10
ER

PT J
AU Sarkar, S
   Maity, R
AF Sarkar, Subharthi
   Maity, Rajib
TI Future Characteristics of Extreme Precipitation Indicate the Dominance
   of Frequency Over Intensity: A Multi-Model Assessment From CMIP6 Across
   India
SO JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
LA English
DT Article
DE precipitation; extremes; frequency; intensity; Homogeneous Precipitation
   Zones (HPZs); climate change
ID REGIONAL CLIMATE MODEL; BIAS CORRECTION; SUMMER MONSOON; IMPACT
   ANALYSIS; RAINFALL; SIMULATION; INCREASE; EVENTS; GERMANY; FIELDS
AB This study presents a comprehensive analysis on the past and future changes in precipitation extremes and quantifies the relative contributions from its frequency and intensity across India, considering five extremeness levels, denoted by 95th, 99th, 99.9th, 99.95th, and 99.97th percentile. Gridded station-based observations from the historical period (1951-2020) and simulations from 14 General Circulation Models for the future (2021-2100), participating in the Coupled Model Intercomparison Project phase 6 (CMIP6) are considered. Apart from an overall increasing pattern of precipitation extremes, it is noticed that the contribution of frequency dominates over intensity. Specifically, the frequency of 99th percentile daily rainfall is projected to increase approximately by two- (SSP245) to three- (SSP585) times in future. We also proposed a new zoning of entire Indian mainland, identified as six Homogeneous Precipitation Zones (HPZs). HPZ-wise analysis reveals that the increase in frequency dominates over intensity for all the HPZs with a varying extent. For instance, increase in frequency is more for the climatologically high-precipitation zones (HPZ-3: Western Ghats, and HPZ-6: North-east India), whereas increase in intensity is more for the low-precipitation zones (HPZ-1: North-west India, and HPZ-4: Peninsular India). The degree of increase gets even more pronounced under the worst scenario SSP585, indicating a potential impact of anthropogenic activities on changing precipitation extremes. Findings of this study should be accounted in the climate change adaptation and mitigation strategies for future.
C1 [Sarkar, Subharthi; Maity, Rajib] Indian Inst Technol Kharagpur, Dept Civil Engn, Kharagpur, W Bengal, India.
C3 Indian Institute of Technology System (IIT System); Indian Institute of
   Technology (IIT) - Kharagpur
RP Maity, R (corresponding author), Indian Inst Technol Kharagpur, Dept Civil Engn, Kharagpur, W Bengal, India.
EM rajib@civil.iitkgp.ac.in
RI Maity, Rajib/AAP-9797-2020
OI Maity, Rajib/0000-0001-5631-9553
FU Ministry of Earth Science, Government of India; Ministry of Electronics
   and Information Technology (MeitY), Government of India; Department of
   Science and Technology (DST), Government of India
FX This work is partially supported by the Ministry of Earth Science,
   Government of India through a sponsored project. The authors further
   acknowledge the National Supercomputing Mission (NSM) for providing
   computing resources of "PARAM Shakti" at IIT Kharagpur, which is
   implemented by C-DAC and supported by the Ministry of Electronics and
   Information Technology (MeitY) and Department of Science and Technology
   (DST), Government of India. Finally, the authors thank the editors and
   two anonymous reviewers whose constructive comments immensely improved
   the manuscript.
CR Abdelmoaty HM, 2021, EARTHS FUTURE, V9, DOI 10.1029/2021EF002196
   Alexander LV, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006290
   Allan RP, 2014, SURV GEOPHYS, V35, P533, DOI 10.1007/s10712-012-9213-z
   Allen MR, 2002, NATURE, V419, P224, DOI 10.1038/nature01092
   Ashfaq M, 2017, CLIM DYNAM, V49, P193, DOI 10.1007/s00382-016-3337-7
   Barbero R, 2017, GEOPHYS RES LETT, V44, P974, DOI 10.1002/2016GL071917
   Berg P, 2013, NAT GEOSCI, V6, P181, DOI 10.1038/ngeo1731
   Bhatla R, 2019, AGR RES, V8, P331, DOI 10.1007/s40003-018-0368-9
   Cai WJ, 2013, NAT GEOSCI, V6, P999, DOI [10.1038/NGEO2009, 10.1038/ngeo2009]
   Chen CA, 2021, WEATHER CLIM EXTREME, V31, DOI 10.1016/j.wace.2021.100303
   Chen H, 2019, ATMOSPHERE-BASEL, V10, DOI 10.3390/atmos10030153
   Christensen JH, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL035694
   Dai TL, 2018, J APPL METEOROL CLIM, V57, P2551, DOI 10.1175/JAMC-D-17-0345.1
   Dash S K., 2002, Mausam, V53, P133
   Dash S, 2019, THEOR APPL CLIMATOL, V138, P1667, DOI 10.1007/s00704-019-02923-8
   De Souza K, 2015, REG ENVIRON CHANGE, V15, P747, DOI 10.1007/s10113-015-0755-8
   Deng Y, 2018, J GEOPHYS RES-ATMOS, V123, P2068, DOI 10.1002/2017JD027078
   Di Luca A, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL088031
   Ehret U, 2012, HYDROL EARTH SYST SC, V16, P3391, DOI 10.5194/hess-16-3391-2012
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   Fischer EM, 2016, NAT CLIM CHANGE, V6, P986, DOI [10.1038/NCLIMATE3110, 10.1038/nclimate3110]
   Ghosh S, 2012, NAT CLIM CHANGE, V2, P86, DOI 10.1038/NCLIMATE1327
   Gidden MJ, 2019, GEOSCI MODEL DEV, V12, P1443, DOI 10.5194/gmd-12-1443-2019
   Giorgi F, 2014, J GEOPHYS RES-ATMOS, V119, P11695, DOI 10.1002/2014JD022238
   Giorgi F, 2011, J CLIMATE, V24, P5309, DOI 10.1175/2011JCLI3979.1
   Guhathakurta P, 2011, J EARTH SYST SCI, V120, P359, DOI 10.1007/s12040-011-0082-5
   Hennessy KJ, 1997, CLIM DYNAM, V13, P667, DOI 10.1007/s003820050189
   Jacob D., 2007, Global Change: Enough Water For All?, Water and Climate Change: Changes in the Water Cycle, P170
   Kao SC, 2011, J GEOPHYS RES-ATMOS, V116, DOI 10.1029/2010JD015529
   Kharin VV, 2013, CLIMATIC CHANGE, V119, P345, DOI 10.1007/s10584-013-0705-8
   Knutti R, 2010, J CLIMATE, V23, P2739, DOI 10.1175/2009JCLI3361.1
   Kothawale D.R., 2017, INDIAN I TROP METEOR, V02, P1
   Kunstmann H, 2004, HYDROL EARTH SYST SC, V8, P1030
   Leander R, 2008, J HYDROL, V351, P331, DOI 10.1016/j.jhydrol.2007.12.020
   Leander R, 2007, J HYDROL, V332, P487, DOI 10.1016/j.jhydrol.2006.08.006
   Lenderink G, 2007, HYDROL EARTH SYST SC, V11, P1143
   Li JJ, 2021, FRONT EARTH SC-SWITZ, V9, DOI 10.3389/feart.2021.687976
   Lu E, 2014, J GEOPHYS RES-ATMOS, V119, P12575, DOI 10.1002/2014JD022456
   Madakumbura GD, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-39936-2
   Maity R, 2019, J HYDROMETEOROL, V20, P595, DOI 10.1175/JHM-D-18-0126.1
   Mao G, 2015, HYDROL EARTH SYST SC, V19, P1787, DOI 10.5194/hess-19-1787-2015
   Maraun D, 2016, CURR CLIM CHANGE REP, V2, P211, DOI 10.1007/s40641-016-0050-x
   Milinski S, 2020, EARTH SYST DYNAM, V11, P885, DOI 10.5194/esd-11-885-2020
   Mishra V, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-00681-1
   Mishra V, 2020, J HYDROL, V580, DOI 10.1016/j.jhydrol.2019.124228
   Mishra V, 2014, J GEOPHYS RES-ATMOS, V119, P9301, DOI 10.1002/2014JD021636
   Mishra V, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL052790
   Mukherjee S, 2018, WEATHER CLIM EXTREME, V20, P45, DOI 10.1016/j.wace.2018.03.005
   Myhre G, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-52277-4
   O'Gorman PA, 2015, CURR CLIM CHANGE REP, V1, P49, DOI 10.1007/s40641-015-0009-3
   O'Gorman PA, 2012, SURV GEOPHYS, V33, P585, DOI 10.1007/s10712-011-9159-6
   Ott I, 2013, J HYDROMETEOROL, V14, P1175, DOI 10.1175/JHM-D-12-091.1
   Pai DS, 2014, MAUSAM, V65, P1
   Pall P, 2011, NATURE, V470, P382, DOI 10.1038/nature09762
   Papalexiou SM, 2019, WATER RESOUR RES, V55, P4901, DOI [10.1029/2018WR024067, 10.1029/2018wr024067]
   Parthasarathy B, 1996, Research report no. RR-070
   Pendergrass AG, 2014, J CLIMATE, V27, P757, DOI 10.1175/JCLI-D-13-00163.1
   Piani C, 2010, THEOR APPL CLIMATOL, V99, P187, DOI 10.1007/s00704-009-0134-9
   Pierce DW, 2015, J HYDROMETEOROL, V16, P2421, DOI 10.1175/JHM-D-14-0236.1
   Rajeevan M, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL035143
   Rajendran K, 2013, CURR SCI INDIA, V104, P1409
   Rajulapati CR, 2021, J APPL METEOROL CLIM, V60, P1561, DOI 10.1175/JAMC-D-20-0259.1
   Reid PC, 2016, GLOBAL CHANGE BIOL, V22, P682, DOI 10.1111/gcb.13106
   Sabeerali CT, 2012, CLIM DYNAM, V39, P841, DOI 10.1007/s00382-011-1269-9
   Saikranthi K, 2013, J HYDROMETEOROL, V14, P304, DOI 10.1175/JHM-D-12-071.1
   Sarkar S, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-90854-8
   Sarkar S, 2020, J HYDROL, V585, DOI 10.1016/j.jhydrol.2020.124806
   Sarkar S, 2020, METHODSX, V7, DOI 10.1016/j.mex.2020.100904
   Sharma S, 2019, J HYDROL, V572, P179, DOI 10.1016/j.jhydrol.2019.02.048
   Sharma S, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-15896-3
   Sillmann J, 2013, J GEOPHYS RES-ATMOS, V118, P2473, DOI 10.1002/jgrd.50188
   Singh R, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-12523-8
   Stegall ST, 2019, J APPL METEOROL CLIM, V58, P875, DOI 10.1175/JAMC-D-18-0057.1
   Suman M, 2022, GEOSCI DATA J, V9, P58, DOI 10.1002/gdj3.118
   Suman M, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-63571-x
   Supharatid S, 2022, J WATER CLIM CHANGE, V13, P337, DOI 10.2166/wcc.2021.015
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Themessl MJ, 2011, INT J CLIMATOL, V31, P1530, DOI 10.1002/joc.2168
   Trenberth KE, 2003, B AM METEOROL SOC, V84, P1205, DOI 10.1175/BAMS-84-9-1205
   Trenberth KE, 2011, CLIM RES, V47, P123, DOI 10.3354/cr00953
   Villarini G, 2013, J CLIMATE, V26, P351, DOI 10.1175/JCLI-D-12-00043.1
   Wang D, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12070867
   Zheng YX, 2016, J GEOPHYS RES-ATMOS, V121, P5631, DOI 10.1002/2016JD025135
   Zhou TJ, 2009, J CLIMATE, V22, P2199, DOI 10.1175/2008JCLI2527.1
   Zhou X, 2018, J GEOPHYS RES-ATMOS, V123, P5783, DOI 10.1029/2017JD027735
NR 85
TC 19
Z9 20
U1 0
U2 13
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
SN 2169-897X
EI 2169-8996
J9 J GEOPHYS RES-ATMOS
JI J. Geophys. Res.-Atmos.
PD AUG 27
PY 2022
VL 127
IS 16
AR e2021JD035539
DI 10.1029/2021JD035539
PG 22
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA 3W9KC
UT WOS:000842666300001
OA Bronze
DA 2025-01-10
ER

PT J
AU Bartrem, C
   von Lindern, I
   von Braun, M
   Tirima, S
AF Bartrem, Casey
   von Lindern, Ian
   von Braun, Margrit
   Tirima, Simba
TI Climate Change, Conflict, and Resource Extraction: Analyses of Nigerian
   Artisanal Mining Communities and Ominous Global Trends
SO ANNALS OF GLOBAL HEALTH
LA English
DT Article
ID HUMAN HEALTH; INTEGRATED ASSESSMENT; GOLD; MERCURY; GHANA; LEAD;
   VIOLENCE; LIVELIHOODS; SECURITY; SCIENCES
AB Background: The 2010 lead poisoning outbreak that claimed the lives of more than 400 children in artisanal gold mining villages in Zamfara, Nigeria is the tragic result of high gold prices, a geologic anomaly, and processing of ores in residential areas. Today, these villages face a growing crisis related to conflict and climate change. While the situation in Zamfara is unparalleled in many ways, the interactions between climate change, conflict, and mining consistently overlap a global scale. The scope of this analysis extends beyond the Nigerian crisis. Objectives: Understanding the complexities of challenges faced in Zamfara provides insight into how these issues impact vulnerable communities globally, and which strategies should be considered to solve this wicked problem. Methods: Analysis of the relationships between climate change, conflict, and mining in Zamfara and globally via literature review and examination of current events in the Sahel region. Findings: Supporting healthy artisanal mining communities, as was prioritized in Zamfara, must be a focus of environmental, health, and mineral management policies. This includes the consideration of multiple environmental health challenges, the protection of vulnerable groups, government-supported formalization programs, and meaningful involvement of local leadership in developing, implementing, and sustaining intervention strategies to enshrine ASM as a poverty reduction, climate change adaptation strategy. Conclusions: Rapidly rising metal prices and demand will continue to fuel environmental health crises associated with mining. Given Africa's growing role in the global mineral economy and the massive number of subsistence communities who will continue to be impacted by climate change, strategies that support responsible artisanal mining are both a necessity for preventing future health crises and an opportunity for promoting regional stability and peace.
C1 [Bartrem, Casey; von Lindern, Ian; von Braun, Margrit; Tirima, Simba] TerraGraph Int Fdn, 121 S Jackson St, Moscow, ID 83843 USA.
   [von Braun, Margrit] Univ Idaho, Moscow, ID 83843 USA.
   [Tirima, Simba] Med Sans Frontieres, Abuja, Nigeria.
C3 University of Idaho
RP Bartrem, C (corresponding author), TerraGraph Int Fdn, 121 S Jackson St, Moscow, ID 83843 USA.
EM casey@terrafound.org
OI von Braun, Margrit/0000-0001-5922-3645; Bartrem,
   Casey/0000-0001-7534-7103
FU TerraGraphics International Foundation; The Anka Emirate Council; Anka
   and Bukkuyum Local Government Areas; Zamfara and Niger State
   Governments; Federal Government of Nigeria; UNICEF; Medecins Sans
   Frontieres
FX Research and manuscript preparation was supported by TerraGraphics
   International Foundation, a nonprofit, 501 (c) (3) organization. The
   environmental health response in Nigeria has been supported by multiple
   Nigerian and international organizations, including: The Anka Emirate
   Council, Anka and Bukkuyum Local Government Areas, the Zamfara and Niger
   State Governments, The Federal Government of Nigeria, UNICEF,
   TerraGraphics International Foundation, and .Medecins Sans Frontieres
CR Abdullahi M, 2021, ZAMFARA J POLIT DEV, V2
   Ahmed K, 2001, LANCET, V358, P815, DOI 10.1016/S0140-6736(01)06011-1
   Ahmed K, MY HOME TOWN BECAME
   Ahmed K., 2016, BBC News
   Akinwotu E., 2018, NEW YORK TIMES
   AMDC, POL BRIEF ASM CLIM C
   Amnesty International, NIG 1000S LIV FEAR Z
   [Anonymous], 2019, Global resources outlook 2019: Natural resources for the future we want
   [Anonymous], 1995, Toxicological profile for polycyclic aromatic hydrocarbons (PAHs)
   [Anonymous], 2013, Artisanal and Small-Scale Mining
   [Anonymous], 2017, GLOB TRENDS ART SMAL
   [Anonymous], 2008, GUARDIAN
   [Anonymous], 2018, Global Humanitarian Overview
   [Anonymous], 2013, Climate and social stress: Implications for security analysis, DOI DOI 10.17226/14682
   Anyadike O, NEW HUMANIT
   ATSDR (Agency for Toxic Substances and Disease Registry), 1999, ARTIF INTELL
   Auty R. M., 1993, Sustaining Development in Mineral Economies: The Resource Curse, DOI [10.4324/9780203422595, DOI 10.4324/9780203422595]
   Barnett J, 2007, POLIT GEOGR, V26, P639, DOI 10.1016/j.polgeo.2007.03.003
   Bartrem C, 2014, INT J ENVIRON HEAL R, V24, P304, DOI 10.1080/09603123.2013.835028
   Basu N, 2015, INT J ENV RES PUB HE, V12, P5143, DOI 10.3390/ijerph120505143
   Bazillier R, 2020, J DEV ECON, V143, DOI 10.1016/j.jdeveco.2019.102411
   bbc, BBC News
   Biya O., 2010, Morbidity and Mortality Weekly Report, V59, P846
   Buhaug H, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/12/125015
   Buhaug H, 2010, P NATL ACAD SCI USA, V107, P16477, DOI 10.1073/pnas.1005739107
   Burki TK, 2019, LANCET RESP MED, V7, P384, DOI 10.1016/S2213-2600(19)30115-8
   Busby JW, 2014, CLIMATIC CHANGE, V124, P717, DOI 10.1007/s10584-014-1142-z
   Buss D, 2019, EXTRACT IND SOC, V6, P1101, DOI 10.1016/j.exis.2019.10.010
   Calain P, 2012, PLOS MED, V9, DOI 10.1371/journal.pmed.1001302
   Campbell John., 2018, COUNCIL FOREIGN RELA
   CDC, LEAD LEV CHILDR CHIL
   Crawford A, DIGGING OUT CONFLICT
   de Lacerda LD, 2003, ENVIRON GEOL, V43, P308, DOI 10.1007/s00254-002-0627-7
   Debrah AA, 2014, J S AFR I MIN METALL, V114, P913
   Devlin C, 2014, POLIT GEOGR, V43, P27, DOI 10.1016/j.polgeo.2014.07.001
   Dooyema CA, 2012, ENVIRON HEALTH PERSP, V120, P601, DOI 10.1289/ehp.1103965
   Dorner U, 2012, POLINARES EU POLICY
   Edwards DP, 2014, CONSERV LETT, V7, P302, DOI 10.1111/conl.12076
   Esdaile LJ, 2018, CHEM-EUR J, V24, P6905, DOI 10.1002/chem.201704840
   Ford JD, 2011, CLIMATIC CHANGE, V109, P399, DOI 10.1007/s10584-011-0029-5
   Geenen S, 2012, RESOUR POLICY, V37, P322, DOI 10.1016/j.resourpol.2012.02.004
   Gottesfeld P, 2019, ANN WORK EXPOS HEAL, V63, P1, DOI 10.1093/annweh/wxy095
   Greig J, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0093716
   Grigg J, 2004, ARCH DIS CHILD, V89, P244, DOI 10.1136/adc.2002.022202
   Hallmark Terry., 2017, Forbes
   Hambling T, 2011, INT J ENV RES PUB HE, V8, P2854, DOI 10.3390/ijerph8072854
   Hentschel T, 2002, Global Report on Artisanal & Small-Scale Mining
   Hilson G, 2017, AREA, V49, P443, DOI 10.1111/area.12328
   Hsiang SM, 2011, NATURE, V476, P438, DOI 10.1038/nature10311
   Humphreys Macartan., 2007, Escaping the Resource Curse Initiative for Policy Dialogue at Columbia
   Idris A, CHILDREN RISK NIGERI
   Idris A, WILL NIGERIA CRACKDO
   Jegede AS, 2007, PLOS MED, V4, P417, DOI 10.1371/journal.pmed.0040073
   Kawamoto Kazumi., 2012, High-Value Natural Resources and Post-Conflict Peacebuilding, P121
   Konkel L, 2019, ENVIRON HEALTH PERSP, V127, DOI 10.1289/EHP6417
   Lahiri-Dutt K., 2018, PLOUGH PICK INFORMAL, P1, DOI [10.22459/BPP.03.2018.01, DOI 10.22459/BPP.03.2018.01]
   Landrigan PJ, 2018, CHILDREN ENV TOXINS, DOI [10.1093/wentk/9780190662646.001.0001, DOI 10.1093/WENTK/9780190662646.001.0001]
   Levy BS, 2014, HEALTH HUM RIGHTS, V16, P32
   Lewis David., 2012, REUTERS
   Lo YC, 2012, ENVIRON HEALTH PERSP, V120, P1450, DOI 10.1289/ehp.1104793
   Lujala P, 2012, HIGH VALUE NATURAL R, DOI [10.4324/9781849775786, DOI 10.4324/9781849775786]
   Maconachie R, 2011, J INT DEV, V23, P1054, DOI 10.1002/jid.1831
   Maier Raina M., 2014, Reviews on Environmental Health, V29, P83, DOI 10.1515/reveh-2014-0022
   Mantz JW, 2008, SOC ANTHROPOL, V16, P34, DOI 10.1111/j.1469-8676.2008.00035.x
   Mohammed A, 2021, EPRA INT J RES DEV, V6, DOI [10.36713/epra2016, DOI 10.36713/EPRA2016]
   MSF, KILL LOOT ABD ZAMF S
   MSF, WHO WE AR WE AR MED
   MSF, NIG MED SANS FRONT
   MSF, RUN VIOL ZAMF STAT
   MSF, NIGERIA RUN VIOL MSF
   Munshi N., 2016, FINANC TIMES
   Nelson J., 2011, Adapting to climate change: A guide for the mining industry
   NIC, 2009, N AFR IMP CLIM CHANG
   Nugent C., 2018, Time
   OCCIAR, MIN CHANG CLIM
   Ocner M., 2018, Miami Herald
   Odell SD, 2018, EXTRACT IND SOC, V5, P201, DOI 10.1016/j.exis.2017.12.004
   Okoh G, 2011, J INT DEV, V23, P1100, DOI 10.1002/jid.1834
   Okonta IkeOronto Douglas., 2001, Where Vultures Feast: Shell, Human Rights, and Oil in the Niger Delta
   Perez C, 2015, GLOBAL ENVIRON CHANG, V34, P95, DOI 10.1016/j.gloenvcha.2015.06.003
   Plumlee GS, 2013, ENVIRON HEALTH PERSP, V121, P744, DOI 10.1289/ehp.1206051
   Potgieter C, ENV CONFLICTS WOMENS
   Raleigh C, 2015, GLOBAL ENVIRON CHANG, V32, P187, DOI 10.1016/j.gloenvcha.2015.03.005
   Ramsay JD, 2013, HOMEL SECUR AFF, V9
   RITTEL HWJ, 1973, POLICY SCI, V4, P155, DOI 10.1007/BF01405730
   Rustad SA, 2016, EXTRACT IND SOC, V3, P475, DOI 10.1016/j.exis.2016.01.010
   Ruttinger L, 2016, Climate change and mining: a foreign policy perspective
   Sahara Reporters, 28 CHILDR LEAD POIS
   Seccatore J, 2014, SCI TOTAL ENVIRON, V496, P662, DOI 10.1016/j.scitotenv.2014.05.003
   Shen L, 2006, J CLEAN PROD, V14, P427, DOI 10.1016/j.jclepro.2004.08.006
   Simpson S, NEW HUMANIT
   Sippl K, 2012, ENVIRONMENT, V54, P18, DOI 10.1080/00139157.2012.673452
   Slack J.F., 2017, Critical mineral resources of the United States-Economic and environmental geology and prospects for future supply: U.S. Geological Survey Professional Paper 1802, pF1, DOI DOI 10.3133/PP1802F
   Smith NM, 2016, J CLEAN PROD, V129, P43, DOI 10.1016/j.jclepro.2016.04.124
   Sovacool BK, 2020, SCIENCE, V367, P30, DOI 10.1126/science.aaz6003
   Spiegel S, 2015, ENVIRON DEV SUSTAIN, V17, P765, DOI 10.1007/s10668-014-9574-1
   Steckling N, 2017, ANN GLOB HEALTH, V83, P234, DOI 10.1016/j.aogh.2016.12.005
   Stephens Joe., 2002, WASH POST
   Suleiman S, KUJENGA AMANI
   Sumaina K, THIS DAY LAGOS
   Sunday O, AL JAZEERA
   Sunday O, THIS NIGERIAN CONFLI
   Telmer KM, 2009, MERCURY FATE AND TRANSPORT IN THE GLOBAL ATMOSPHERE, P131, DOI 10.1007/978-0-387-93958-2_6
   Theisen OM, 2012, J PEACE RES, V49, P81, DOI 10.1177/0022343311425842
   Theisen OM, 2011, INT SECURITY, V36, P79
   Thurtle N, 2014, PLOS MED, V11, DOI 10.1371/journal.pmed.1001739
   Tirima S, 2018, J ENVIRON SCI, V67, P260, DOI 10.1016/j.jes.2017.09.007
   Tirima S, 2016, ENVIRON HEALTH PERSP, V124, P1471, DOI 10.1289/ehp.1510145
   Tschakert P, 2007, GEOFORUM, V38, P1304, DOI 10.1016/j.geoforum.2007.05.002
   UN, 2019, World urbanization prospects 2018: Highlights
   UNEP, 2012, RENEWABLE RESOURCES
   UNEP, 2011, Livelihood Security, Climate Change, Migration and Conflict in the Sahel
   UNEP, 2012, LAND CONFL
   UNEP, MIN CONV MERC TEXT A
   UNEP, 2018, ENV COOP PATHW RES N
   UNHCR, 2021, PROT MON REP KATS SO
   United Nations Children's Fund (UNICEF), 2017, GEN 2030 AFR 2 0
   United Nations Secretary General, REM SEC COUNC IMP CL
   USEPA, FED REG ENV PROT AG
   von Lindern I., 2011, Nigeria Lead Poisoning Epidemic Emergency Environmental Response, May 2010 - March 2011, Final Report to the United Nations Children's Fund (UNICEF)
   Watts N, 2019, LANCET, V394, P1836, DOI 10.1016/S0140-6736(19)32596-6
   WBG, 2017, GROW ROL MIN MET LOW
   Werthmann K, 2009, RESOUR POLICY, V34, P18, DOI 10.1016/j.resourpol.2008.09.002
   WHO, 2016, ARTISANAL SMALL SCAL
   WHO, NIG MASS LEAD POIS M
   Wilson ML, 2015, INT J ENV RES PUB HE, V12, P8133, DOI 10.3390/ijerph120708133
   *WORLD BANK, 2018, CLIM SMART MIN MIN C
   Yahaya JU., 2020, POLAC INT J HUMANITI, V5, P109
   Zamfara State, ZAMF STAT GOV OFF WE
   Zhang DD, 2007, P NATL ACAD SCI USA, V104, P19214, DOI 10.1073/pnas.0703073104
   Zhang DD, 2007, HUM ECOL, V35, P403, DOI 10.1007/s10745-007-9115-8
NR 131
TC 3
Z9 4
U1 1
U2 9
PU UBIQUITY PRESS LTD
PI LONDON
PA Unit 3.22, East London Works, 65-75 Whitechapel Road, LONDON, E1 1DU,
   ENGLAND
SN 2214-9996
J9 ANN GLOB HEALTH
JI Ann. Glob. Health
PY 2022
VL 88
IS 1
BP 1
EP 17
DI 10.5334/aogh.3547
PG 17
WC Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health
GA ZR1VC
UT WOS:000767578700001
PM 35433284
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Cassinat, JJ
   Cassinat, KC
   Segi, T
   Tavana, NG
   Gill, RA
AF Cassinat, Joshua J.
   Cassinat, Kristin C.
   Segi, Tavailau
   Tavana, Namulauulu G.
   Gill, Richard A.
TI Traditional village roles and gender shape Samoan perceptions of climate
   change
SO CURRENT RESEARCH IN ENVIRONMENTAL SUSTAINABILITY
LA English
DT Article
DE Climate change; Adaptation strategies; Pacific islands; Village roles;
   Gender
ID MARINE PROTECTED AREAS; SMALL ISLAND STATES; CHANGE ADAPTATION;
   INDIGENOUS KNOWLEDGE; RISK PERCEPTION; CHANGE IMPACTS; SOUTH-PACIFIC;
   POLICY; COMMUNITIES; STRATEGIES
AB Climate change poses a significant threat to indigenous societies and cultures in the South Pacific. Within these societies, women and indigenous cultures need increased representation in climate change assessment and adaptation strategy development. To capture the diversity of effects and maximize creative approaches to address climate change we studied how gender influences perceptions of climate change in response to climate-related environmental change, adaptation strategies, and the perception of adaptation strategies that are currently in place. To explore diverse perceptions, we conducted semi-structured interviews in four villages in Savaii, Samoa. The interviews were analyzed and quantified around three main themes: climate-related environmental changes, adaptation strategies, and perceptions of existing adaptation approaches. Each participant's response was quantified based on perceived priority ranging from 0-no priority/no mention, to 3-highest priority/frequent mention. We found that each participant was aware of climate-related environmental changes and gender and village roles bring variation in perceptions of climate change. We found that men felt high temperatures and marine management were of greatest concern while women cared about storms and related danger and pollution control. Our results indicate that females and female village roles had significantly lower understanding and enthusiasm for in-place adaptation strategies due to a lack of involvement in the implementation and upkeep of adaptation strategies. This study argues that climate-related adaptation strategies should put village role and gender-based perceptions into consideration and increase representation in policymaking for sustainable climate change adaptation.
C1 [Cassinat, Joshua J.; Cassinat, Kristin C.; Segi, Tavailau; Gill, Richard A.] Brigham Young Univ, Dept Biol, Provo, UT 84602 USA.
   [Tavana, Namulauulu G.] Samoa Village Council, Saipipi, Samoa.
C3 Brigham Young University
RP Gill, RA (corresponding author), Brigham Young Univ, Dept Biol, Provo, UT 84602 USA.
EM rgill@byu.edu
RI Gill, Richard/AAC-8137-2021
CR Alston M, 2014, WOMEN STUD INT FORUM, V47, P287, DOI 10.1016/j.wsif.2013.01.016
   Altschuler B, 2016, LOCAL ENVIRON, V21, P615, DOI 10.1080/13549839.2015.1004165
   Applequist WL, 2020, PLANTA MED, V86, P10, DOI 10.1055/a-1041-3406
   Armitage D, 2011, GLOBAL ENVIRON CHANG, V21, P995, DOI 10.1016/j.gloenvcha.2011.04.006
   Arora-Jonsson S, 2014, WOMEN STUD INT FORUM, V47, P295, DOI 10.1016/j.wsif.2014.02.009
   Assan Never, 2015, SCI J PURE APPL SCI, V4, P34, DOI [10.14196/sjpas.v4i2.1824, DOI 10.14196/SJPAS.V4I2.1824]
   Aswani S, 2019, CLIM DEV, V11, P365, DOI 10.1080/17565529.2018.1442795
   Baptiste AK, 2018, J ENVIRON STUD SCI, V8, P51, DOI 10.1007/s13412-017-0434-9
   Baptiste AK, 2013, CASES ON THE DIFFUSION AND ADOPTION OF SUSTAINABLE DEVELOPMENT PRACTICES, P44, DOI 10.4018/978-1-4666-2842-7.ch003
   Bee BA, 2016, GEOFORUM, V69, P71, DOI 10.1016/j.geoforum.2015.12.006
   Berkes F, 2002, CONSERV ECOL, V5
   Betzold C, 2015, CLIMATIC CHANGE, V133, P481, DOI 10.1007/s10584-015-1408-0
   Beyerl K, 2018, ISL STUD J, V13, P25, DOI 10.24043/isj.53
   Cassidy L, 2012, ECOL SOC, V17, DOI 10.5751/ES-04963-170411
   Codjoe SNA, 2014, REG ENVIRON CHANGE, V14, P369, DOI 10.1007/s10113-013-0500-0
   Combest-Friedman C, 2012, J ENVIRON MANAGE, V112, P137, DOI 10.1016/j.jenvman.2012.06.018
   Cote M, 2012, PROG HUM GEOG, V36, P475, DOI 10.1177/0309132511425708
   Djoudi H, 2011, INT FOREST REV, V13, P123, DOI 10.1505/146554811797406606
   Dodman D, 2013, J INT DEV, V25, P640, DOI 10.1002/jid.1772
   Ensor JE, 2018, REG ENVIRON CHANGE, V18, P1131, DOI 10.1007/s10113-017-1242-1
   Fana'afi A., 1986, Land Rights of Pacific Women, P103
   Frank E, 2011, GLOBAL ENVIRON CHANG, V21, P66, DOI 10.1016/j.gloenvcha.2010.11.001
   Gold M. K., 2016, DEBATES DIGITAL HUMA, DOI [https://doi.org/10.5749/j.ctt1cn6thb, DOI 10.5749/J.CTT1CN6THB]
   Gustafson PE, 1998, RISK ANAL, V18, P805, DOI 10.1023/B:RIAN.0000005926.03250.c0
   HOWORTH R, 2005, KNOW RISK, P224
   Island Vulnerability, 2009, ABOUT US
   Ivanova M., 2007, Int. Environ. Agreem. Polit. Law Econ, V7, P337, DOI [DOI 10.1007/S10784-007-9052-4, 10.1007/s10784-007-9052-4]
   Kelman I, 2010, LOCAL ENVIRON, V15, P605, DOI 10.1080/13549839.2010.498812
   Kuruppu N, 2011, GLOBAL ENVIRON CHANG, V21, P657, DOI 10.1016/j.gloenvcha.2010.12.002
   Lam M, 1998, OCEAN COAST MANAGE, V39, P97, DOI 10.1016/S0964-5691(98)00017-9
   Latai-Niusulu A, 2020, SINGAPORE J TROP GEO, V41, P40, DOI 10.1111/sjtg.12299
   Leonard S, 2013, GLOBAL ENVIRON CHANG, V23, P623, DOI 10.1016/j.gloenvcha.2013.02.012
   Magee AD, 2016, NAT HAZARD EARTH SYS, V16, P1091, DOI 10.5194/nhess-16-1091-2016
   Mapfumo P, 2016, CLIM DEV, V8, P72, DOI 10.1080/17565529.2014.998604
   Mauro F, 2000, ECOL APPL, V10, P1263, DOI 10.2307/2641281
   McCubbin S, 2015, GLOBAL ENVIRON CHANG, V30, P43, DOI 10.1016/j.gloenvcha.2014.10.007
   Mcleod E, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00289
   Mcleod E, 2018, MAR POLICY, V93, P178, DOI 10.1016/j.marpol.2018.03.011
   Mead M, 1928, J R ANTHROPOL INST G, V58, P481, DOI 10.2307/2843632
   Mercer J, 2009, GEOGR ANN B, V91B, P157, DOI 10.1111/j.1468-0467.2009.00312.x
   Nelson V., 2002, Gender and Development, V10, P51, DOI 10.1080/13552070215911
   Nkomwa EC, 2014, PHYS CHEM EARTH, V67-69, P164, DOI 10.1016/j.pce.2013.10.002
   Nunn PD, 2017, REG ENVIRON CHANGE, V17, P959, DOI 10.1007/s10113-016-0950-2
   Nunn PD, 2014, REG ENVIRON CHANGE, V14, P221, DOI 10.1007/s10113-013-0486-7
   Nunn PD, 2009, CLIM RES, V40, P211, DOI 10.3354/cr00806
   Orlove B, 2010, CLIMATIC CHANGE, V100, P243, DOI 10.1007/s10584-009-9586-2
   PERNETTA JC, 1992, GLOBAL ENVIRON CHANG, V2, P19, DOI 10.1016/0959-3780(92)90033-4
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Ratter BMW, 2016, NAT RESOUR FORUM, V40, P112, DOI 10.1111/1477-8947.12102
   Regassa S., 2010, OXFAM POLICY PRACTIC, V6, P90
   Salick J, 2009, GLOBAL ENVIRON CHANG, V19, P137, DOI 10.1016/j.gloenvcha.2009.01.004
   Shackleton C, 2004, S AFR J SCI, V100, P658
   Shore Bradd., 1981, Sexual Meanings: The Cultural Construction of Gender and Sexuality, P192
   Smallhorn-West PF, 2020, BIODIVERS CONSERV, V29, P349, DOI 10.1007/s10531-019-01918-1
   SOBEL J, 1993, OCEANUS, V36, P19
   Tavana G.V, 2002, ODYSSEY ADVENT SCI N, V10, P29
   Tavana G.V., 1997, International Journal of Educational Reform, V6, P11
   Tavana N.G.V., 2002, SAM ENV FOR P NAT EN, P19
   Taylor S, 2016, TROP CONSERV SCI, V9, P203, DOI 10.1177/194008291600900111
   Thomas A, 2018, J ENVIRON STUD SCI, V8, P63, DOI 10.1007/s13412-017-0429-6
   Vignola R, 2013, MITIG ADAPT STRAT GL, V18, P303, DOI 10.1007/s11027-012-9364-8
   Walsh KJE, 2012, GLOBAL PLANET CHANGE, V80-81, P149, DOI 10.1016/j.gloplacha.2011.10.006
   Wamukonya N., 2009, Energy Environment, V13, P115, DOI DOI 10.1260/0958305021501119
   Wolf J, 2011, WIRES CLIM CHANGE, V2, P547, DOI 10.1002/wcc.120
NR 64
TC 3
Z9 3
U1 0
U2 3
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2666-0490
J9 CURR RES ENVIRON SUS
JI Curr. Res. Environmental Sustainability
PY 2022
VL 4
AR 100173
DI 10.1016/j.crsust.2022.100173
PG 10
WC Environmental Sciences; Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA M5JR1
UT WOS:001030582800008
OA gold
DA 2025-01-10
ER

PT J
AU Conway, TM
   Ordez, C
   Roman, LA
   Yuan, AN
   Pearsall, H
   Heckert, M
   Dickinson, S
   Rosan, C
AF Conway, Tenley M.
   Ordonez, Camilo
   Roman, Lara A.
   Yuan, Annie
   Pearsall, Hamil
   Heckert, Megan
   Dickinson, Stephen
   Rosan, Christina
TI Resident Knowledge of and Engagement with Green Infrastructure in
   Toronto and Philadelphia
SO ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Green stormwater infrastructure; Urban forests; Municipal policy;
   Residential landscapes
ID CLIMATE-CHANGE ADAPTATION; ENVIRONMENTAL KNOWLEDGE; STORMWATER;
   PROGRAMS; BARRIERS; ADOPTION; INDEX
AB Green infrastructure (GI) initiatives, including programs to plant trees and install bioswales, have been adopted by a growing number of local government and non-governmental organizations. While the details of these programs vary, a common characteristic of most Canadian and US GI initiatives is a distributed approach that includes both public and private land. To date, little research has explored residents' knowledge of GI or their engagement with related initiatives even though residents' installation of GI is often key to creating distributed GI networks. In this study, we (1) assess residents' knowledge of the term GI, (2) identify residents' level of engagement with GI initiatives, and (3) examine whether factors like level of concern about local environmental issues can predict GI knowledge or level of engagement with GI initiatives. We explored these objectives through a survey of residents in Toronto (Ontario, Canada) and Philadelphia (Pennsylvania, US). We found that about a quarter of survey respondents in both cities had previously heard the term "green infrastructure". Neither knowledge of GI nor level of engagement with GI initiatives could be predicted by the level of concern about local environmental issues, but residents' interest in using their outdoor space for nature activities (e.g., gardening) predicted GI knowledge in both cities and level of initiative engagement in Philadelphia. Our results suggest the need for widespread education campaigns that clearly define GI so that residents can be participants in policy discussions, link it with their needs, and identify ways to manage GI to create desired benefits.
C1 [Conway, Tenley M.; Ordonez, Camilo; Yuan, Annie] Univ Toronto, Dept Geog Geomat & Environm, Mississauga, ON, Canada.
   [Roman, Lara A.] USDA Forest Serv, Philadelphia Field Stn, Northern Res Stn, Philadelphia, PA USA.
   [Pearsall, Hamil; Dickinson, Stephen; Rosan, Christina] Temple Univ, Dept Geog & Urban Studies, Philadelphia, PA USA.
   [Heckert, Megan] West Chester Univ, Dept Geog & Planning, W Chester, PA USA.
C3 University of Toronto; United States Department of Agriculture (USDA);
   United States Forest Service; Pennsylvania Commonwealth System of Higher
   Education (PCSHE); Temple University; Pennsylvania State System of
   Higher Education (PASSHE); West Chester University of Pennsylvania
RP Conway, TM (corresponding author), Univ Toronto, Dept Geog Geomat & Environm, Mississauga, ON, Canada.
EM tenley.conway@utoronto.ca
RI Ordóñez, Camilo/AAM-5712-2021; Ordonez Barona, Camilo/H-8577-2014
OI Conway, Tenley/0000-0002-9452-1629; Dickinson,
   Stephen/0000-0001-6113-6452; Ordonez Barona, Camilo/0000-0002-4928-1275;
   Roman, Lara/0000-0001-5507-6406; Rosan, Christina/0000-0002-7744-449X
FU Social Sciences and Humanities Research Council (SSHRC) of Canada
FX Funding was provided by a grant from the Social Sciences and Humanities
   Research Council (SSHRC) of Canada.
CR Anderson J.E., 2014, PUBLIC POLICYMAKING
   [Anonymous], 2014, Internet, phone, mail, and mixed-mode surveys: The tailored design method, DOI DOI 10.1002/9781394260645
   Baptiste AK, 2015, LANDSCAPE URBAN PLAN, V136, P1, DOI 10.1016/j.landurbplan.2014.11.012
   Blaine TW, 2012, ENVIRON MANAGE, V50, P257, DOI 10.1007/s00267-012-9874-x
   Brown HL, 2016, J ENVIRON PLANN MAN, V59, P79, DOI 10.1080/09640568.2014.984017
   Burgess J, 1998, ENVIRON PLANN A, V30, P1445, DOI 10.1068/a301445
   Byrne JA, 2015, LANDSCAPE URBAN PLAN, V138, P132, DOI 10.1016/j.landurbplan.2015.02.013
   Casalo LV, 2019, RESOUR CONSERV RECY, V149, P56, DOI 10.1016/j.resconrec.2019.05.024
   City of Philadelphia, 2018, PWD STORMW BILL PARC
   City of Toronto City of Toronto, SUST EXP URB FOR TOR
   Clayton S, 2007, J ENVIRON PSYCHOL, V27, P215, DOI 10.1016/j.jenvp.2007.06.001
   CMHC, 2021, TOR HIST AV MED PRIC
   Conway TM, 2020, LAND USE POLICY, V99, DOI 10.1016/j.landusepol.2020.104864
   da Silva JMC, 2017, PERSPECT ECOL CONSER, V15, P32, DOI 10.1016/j.pecon.2016.11.005
   Deely J, 2020, LAND USE POLICY, V99, DOI 10.1016/j.landusepol.2020.105108
   DEFRA DEFRA, NR0115 DEFRA
   Derkzen ML, 2017, LANDSCAPE URBAN PLAN, V157, P106, DOI 10.1016/j.landurbplan.2016.05.027
   Descher M, 2021, ENVIRON MANAGE, V67, P308, DOI 10.1007/s00267-020-01393-3
   Dhakal KP, 2017, J ENVIRON MANAGE, V203, P171, DOI 10.1016/j.jenvman.2017.07.065
   Escobedo FJ, 2019, URBAN FOR URBAN GREE, V37, P3, DOI 10.1016/j.ufug.2018.02.011
   Everett G, 2018, J FLOOD RISK MANAG, V11, pS973, DOI 10.1111/jfr3.12225
   Frick J, 2004, PERS INDIV DIFFER, V37, P1597, DOI 10.1016/j.paid.2004.02.015
   Gao YL, 2016, LANDSCAPE URBAN PLAN, V153, P99, DOI 10.1016/j.landurbplan.2016.04.005
   Glick DM, 2019, RESOUR CONSERV RECY, V150, DOI 10.1016/j.resconrec.2019.104419
   Green OO, 2012, SUSTAINABILITY-BASEL, V4, P1669, DOI 10.3390/su4081669
   Hair J. F., 2010, Multivariate data analysis
   Hansen R., 2021, Socio-Ecological Practice Research, DOI [DOI 10.1007/S42532-021-00087-2, 10.1007/s42532-021-00087]
   Heckert M, 2016, URBAN FOR URBAN GREE, V19, P263, DOI 10.1016/j.ufug.2015.12.011
   Hopkins KG, 2018, ENVIRON SCI POLICY, V84, P124, DOI 10.1016/j.envsci.2018.03.008
   Hubbard ML, 2023, SOC SCI J, V60, P590, DOI 10.1080/03623319.2020.1782635
   KAISER HF, 1974, PSYCHOMETRIKA, V39, P31, DOI 10.1007/BF02291575
   Keeley M, 2013, ENVIRON MANAGE, V51, P1093, DOI 10.1007/s00267-013-0032-x
   Kollmuss A., 2002, Environ Educ Res, V8, P239, DOI [10.1080/13504620220145401, DOI 10.1080/13504620220145401]
   Larson KL, 2016, URBAN ECOSYST, V19, P95, DOI 10.1007/s11252-015-0477-1
   Lieberherr E, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10062099
   Locke Dexter H., 2015, Arboriculture & Urban Forestry, V41, P324
   Locke DH, 2016, APPL SPAT ANAL POLIC, V9, P77, DOI 10.1007/s12061-014-9131-1
   Mason LR, 2019, J COMMUNITY PRACT, V27, P334, DOI 10.1080/10705422.2019.1655125
   Matsler M, 2021, LANDSCAPE URBAN PLAN, V214, DOI 10.1016/j.landurbplan.2021.104145
   Matthews T, 2015, LANDSCAPE URBAN PLAN, V138, P155, DOI 10.1016/j.landurbplan.2015.02.010
   McPhillips LE, 2018, FRONT BUILT ENVIRON, V4, DOI 10.3389/fbuil.2018.00026
   Meerow S, 2021, URBAN ECOSYST, V24, P989, DOI 10.1007/s11252-020-01088-x
   Mell I., 2016, Global green infrastructure: Lessons for successful policy-making, investment and management, DOI [10.4324/9781315720968, DOI 10.4324/9781315720968]
   Mell I, 2020, IMPACT ASSESS PROJ A, V38, P449, DOI 10.1080/14615517.2019.1617517
   Milfont TL, 2012, RISK ANAL, V32, P1003, DOI 10.1111/j.1539-6924.2012.01800.x
   Nguyen VD, 2017, URBAN FOR URBAN GREE, V22, P24, DOI 10.1016/j.ufug.2017.01.007
   Parker J, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11113182
   Petts J, 2006, ENVIRON PLANN A, V38, P1045, DOI 10.1068/a37373
   Philadelphia Parks and Recreation Philadelphia Parks and Recreation, PHIL PARKS RECR PARK
   Robelia B, 2012, ENVIRON EDUC RES, V18, P299, DOI 10.1080/13504622.2011.618288
   Spahr K., 2020, Contextualizing and Communicating The Ancillary Benefits of Green Stormwater Infrastructure
   St-Laurent GP, 2019, J ENVIRON MANAGE, V242, P474, DOI 10.1016/j.jenvman.2019.04.065
   Statistics Canada, 2016, Census Profile, 2016 CensusCanada Country and Quebec Province
   Sussams LW, 2015, J ENVIRON MANAGE, V147, P184, DOI 10.1016/j.jenvman.2014.09.003
   Thurstone L.L., 1947, Multiple-factor Analysis; a Development and Expansion of the Vectors of Mind, P535
   U.S. Department of housing and urban development, 2019, COMPR HOUS MARK AN
   Ureta J, 2021, SUSTAIN CITIES SOC, V69, DOI 10.1016/j.scs.2021.102815
   US Census Bureau, 2019, American Community Survey Data
   US Census Bureau, 2019, QuickFacts
   van Vliet K, 2021, J ENVIRON PLANN MAN, V64, P145, DOI 10.1080/09640568.2020.1756757
   Venkataramanan V, 2020, SCI TOTAL ENVIRON, V720, DOI 10.1016/j.scitotenv.2020.137606
   Watkins SL, 2017, ENVIRON BEHAV, V49, P452, DOI 10.1177/0013916516636423
NR 62
TC 13
Z9 15
U1 2
U2 24
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0364-152X
EI 1432-1009
J9 ENVIRON MANAGE
JI Environ. Manage.
PD OCT
PY 2021
VL 68
IS 4
BP 566
EP 579
DI 10.1007/s00267-021-01515-5
EA AUG 2021
PG 14
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA UT2RO
UT WOS:000684526000001
PM 34383110
DA 2025-01-10
ER

PT J
AU Brown, C
   Rounsevell, M
AF Brown, Calum
   Rounsevell, Mark
TI How can social-ecological system models simulate the emergence of
   social-ecological crises?
SO PEOPLE AND NATURE
LA English
DT Article
DE agent-based modelling; functional roles; high-level process;
   human-environment interactions; hybrid modelling; process-based;
   socio-ecological
ID CLIMATE-CHANGE ADAPTATION; LAND-COVER CHANGE; HUMAN DECISION-MAKING;
   AGENT-BASED MODELS; REGIME SHIFTS; INTEGRATED ASSESSMENT; ECOSYSTEM
   SERVICES; EXTINCTION RISK; FOREST OWNERS; BIODIVERSITY
AB 1. The idea that human impacts on natural systems might trigger large-scale, social-ecological 'crises' or 'breakdowns' is attracting increasing scientific, societal and political attention, but the risks of such crises remain hard to assess or ameliorate.
   2. Social-ecological systems have complex dynamics, with bifurcations, nonlinearities and tipping points all emerging from the interaction of multiple human and natural processes. Computational modelling is a key tool in understanding these processes and their effects on system resilience. However, models that operate over large geographical extents often rely on assumptions such as economic equilibrium and optimisation in social-economic systems, and mean-field or trend-based behaviour in ecological systems, which limit the simulation of crisis dynamics.
   3. Alternative forms of modelling focus on simulating local-scale processes that underpin the dynamics of social-ecological systems. Recent improvements in data resources and computational tools mean that such modelling is now technically feasible across large geographical extents.
   4. We consider the contributions that the different types of model can make to simulating social-ecological crises. While no models are able to predict exact outcomes in complex social-ecological systems, we suggest that one new approach with substantial promise is hybrid modelling that uses existing model architectures to isolate and understand key processes, revealing risks and associated uncertainties of crises emerging. We outline convergent and efficient functional descriptions of social and ecological systems that can be used to develop such models, data resources that can support them, and possible 'high-level' processes that they can represent.
C1 [Brown, Calum; Rounsevell, Mark] Karlsruhe Inst Technol, Inst Meteorol & Climate Res, Dept Geoecol IFGG, Atmospher Environm Res IMK IFU, Garmisch Partenkirchen, Germany.
   [Rounsevell, Mark] Univ Edinburgh, Sch Geosci, Edinburgh, Midlothian, Scotland.
C3 Helmholtz Association; Karlsruhe Institute of Technology; University of
   Edinburgh
RP Brown, C (corresponding author), Karlsruhe Inst Technol, Inst Meteorol & Climate Res, Dept Geoecol IFGG, Atmospher Environm Res IMK IFU, Garmisch Partenkirchen, Germany.
EM calum.brown@kit.edu
RI Brown, Calum/ABH-4673-2020; Rounsevell, Mark/AAC-4498-2021; Brown,
   Calum/D-4341-2017
OI Brown, Calum/0000-0001-9331-1008; Rounsevell, Mark/0000-0001-7476-9398
FU Recruiting Initiative of the Helmholtz Association
FX This research was supported by the Recruiting Initiative of the
   Helmholtz Association.
CR Aben J, 2016, J APPL ECOL, V53, P1055, DOI 10.1111/1365-2664.12643
   Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Aide TM, 2004, SCIENCE, V305, P1915, DOI 10.1126/science.1103179
   Anderson-Teixeira KJ, 2015, GLOBAL CHANGE BIOL, V21, P528, DOI 10.1111/gcb.12712
   [Anonymous], 2016, STATE WORLDS FORESTS, DOI [DOI 10.1146/ANNUREV-ENVIRON-020411-130608, 10.1146/ANNUREV-ENVIRON-020411-130608]
   Arneth A, 2014, NAT CLIM CHANGE, V4, P550, DOI [10.1038/nclimate2250, 10.1038/NCLIMATE2250]
   Arnold RT, 2015, WATER RESOUR RES, V51, P648, DOI 10.1002/2014WR015382
   Asner GP, 2009, CONSERV BIOL, V23, P1386, DOI 10.1111/j.1523-1739.2009.01333.x
   Austin KG, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa6a88
   Baggio JA, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-08549-8
   Baird J, 2014, GLOBAL ENVIRON CHANG, V27, P51, DOI 10.1016/j.gloenvcha.2014.04.019
   Barceló JA, 2016, COMPUT SOC SCI, P1, DOI 10.1007/978-3-319-31481-5_1
   Bardsley DK, 2010, POPUL ENVIRON, V32, P238, DOI 10.1007/s11111-010-0126-9
   Barnes ML, 2020, NAT CLIM CHANGE, V10, P823, DOI 10.1038/s41558-020-0871-4
   Barnes ML, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09994-1
   Bartlett LJ, 2016, P ROY SOC B-BIOL SCI, V283, DOI 10.1098/rspb.2016.1027
   Batty M, 2005, FUTURES, V37, P745, DOI 10.1016/j.futures.2004.11.003
   Becher MA, 2018, J APPL ECOL, V55, P2790, DOI 10.1111/1365-2664.13165
   Binder C., 2013, ECOLOGY SOC
   Blanco V, 2015, EUR J FOREST RES, V134, P1027, DOI 10.1007/s10342-015-0907-x
   Blüthgen N, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms10697
   Bongaarts J, 2019, POPUL DEV REV, V45, P680, DOI 10.1111/padr.12283
   Borsuk M, 2001, GROUP DECIS NEGOT, V10, P355, DOI 10.1023/A:1011231801266
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Brown C, 2019, EARTH SYST DYNAM, V10, P809, DOI 10.5194/esd-10-809-2019
   Brown C, 2019, NAT CLIM CHANGE, V9, P203, DOI 10.1038/s41558-019-0400-5
   Brown C, 2018, J LAND USE SCI, V13, P269, DOI 10.1080/1747423X.2018.1515995
   Brown C, 2018, REG ENVIRON CHANGE, V18, P831, DOI 10.1007/s10113-016-0999-y
   Brown C, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.448
   Brown C, 2016, MODEL EARTH SYST ENV, V2, DOI 10.1007/s40808-016-0102-1
   Bryan BA, 2016, NAT CLIM CHANGE, V6, P301, DOI [10.1038/nclimate2874, 10.1038/NCLIMATE2874]
   Bury TM, 2019, PLOS COMPUT BIOL, V15, DOI 10.1371/journal.pcbi.1007000
   Butterfield BJ, 2010, ECOLOGY, V91, P1132, DOI 10.1890/09-0145.1
   Butzer KW, 2012, P NATL ACAD SCI USA, V109, P3632, DOI 10.1073/pnas.1114845109
   Carrasco LR, 2012, ECOL ECON, V76, P95, DOI 10.1016/j.ecolecon.2012.02.009
   Chazdon RL, 2003, PERSPECT PLANT ECOL, V6, P51, DOI 10.1078/1433-8319-00042
   Clark JS, 2017, ECOL MONOGR, V87, P34, DOI 10.1002/ecm.1241
   Colding J, 2019, ECOL SOC, V24, DOI 10.5751/ES-10598-240102
   Cote M, 2012, PROG HUM GEOG, V36, P475, DOI 10.1177/0309132511425708
   Craig M. P. A., 2017, ECOLOGICAL POLITICAL, P11, DOI [10.1007/978-3-319-40090-7_2, DOI 10.1007/978-3-319-40090-7_2]
   Crane TA, 2011, NJAS-WAGEN J LIFE SC, V57, P179, DOI 10.1016/j.njas.2010.11.002
   Crozier L, 2006, AM NAT, V167, P853, DOI 10.1086/504848
   Cumming GS, 2017, TRENDS ECOL EVOL, V32, P695, DOI 10.1016/j.tree.2017.06.014
   de Matos Fernandes C. A., 2020, REV ARTIFICIAL SOC S
   de Silva S, 2019, FRONT ECOL EVOL, V7, DOI 10.3389/fevo.2019.00171
   Díaz S, 2011, P NATL ACAD SCI USA, V108, P895, DOI 10.1073/pnas.1017993108
   Donges JF, 2020, EARTH SYST DYNAM, V11, P395, DOI 10.5194/esd-11-395-2020
   Downey SS, 2016, P NATL ACAD SCI USA, V113, P9751, DOI 10.1073/pnas.1602504113
   Driscoll DA, 2018, NAT ECOL EVOL, V2, P775, DOI 10.1038/s41559-018-0504-8
   Dryzek JS, 2011, ECOL ECON, V70, P1865, DOI 10.1016/j.ecolecon.2011.01.021
   Egli L, 2019, ECOL COMPLEX, V40, DOI 10.1016/j.ecocom.2018.06.008
   Elsawah S., 2020, SOCIO ENV SYSTEMS MO, V2, p, P16226, DOI [10.18174/sesmo.2020a16226, DOI 10.18174/SESMO.2020A16226]
   Elsawah S, 2017, ENVIRON MODELL SOFTW, V93, P127, DOI 10.1016/j.envsoft.2017.03.001
   Epstein JM, 2008, JASSS-J ARTIF SOC S, V11
   FAO, 2019, FAO FISH AQ STAT INT
   FAO, 2015, FAO FISHERIES AQUACU, V1110
   Ferrara A, 2016, J ENVIRON MANAGE, V169, P155, DOI 10.1016/j.jenvman.2015.12.027
   Feurer M, 2019, LAND-BASEL, V8, DOI 10.3390/land8030045
   Feyerabend P., 1993, Against method: Verso
   Figueiredo J, 2011, LANDSCAPE ECOL, V26, P737, DOI 10.1007/s10980-011-9605-3
   Filatova T, 2016, ENVIRON MODELL SOFTW, V75, P333, DOI 10.1016/j.envsoft.2015.04.003
   Fisher RA, 2018, GLOBAL CHANGE BIOL, V24, P35, DOI 10.1111/gcb.13910
   Fitzpatrick MC, 2015, ECOL LETT, V18, P1, DOI 10.1111/ele.12376
   Ford JD, 2016, P NATL ACAD SCI USA, V113, P10729, DOI 10.1073/pnas.1614023113
   Freeman J, 2020, P NATL ACAD SCI USA, V117, P7712, DOI 10.1073/pnas.1915824117
   Fulton EA, 2011, FISH FISH, V12, P171, DOI 10.1111/j.1467-2979.2011.00412.x
   Gao L, 2012, ENVIRON MODELL SOFTW, V31, P3, DOI 10.1016/j.envsoft.2011.12.002
   Global Migration Data Portal, 2019, MIGR DAT PORT
   GlobalWeb, 2019, FOOD WEB DAT U CANB
   Goldstone JackA., 2002, J INT AFF, V56, P3
   Gostoli U., 2020, REV ARTIFICIAL SOC S
   Götzenberger L, 2012, BIOL REV, V87, P111, DOI 10.1111/j.1469-185X.2011.00187.x
   Gras R, 2009, ARTIF LIFE, V15, P423, DOI 10.1162/artl.2009.Gras.012
   Gregr EJ, 2015, BIOSCIENCE, V65, P43, DOI 10.1093/biosci/biu185
   Grêt-Regamey A, 2019, NAT SUSTAIN, V2, P290, DOI 10.1038/s41893-019-0236-Z
   Grimm V, 2016, ECOL MODEL, V326, P177, DOI 10.1016/j.ecolmodel.2016.01.001
   Groeneveld J, 2017, ENVIRON MODELL SOFTW, V87, P39, DOI 10.1016/j.envsoft.2016.10.008
   Grove K, 2014, GEOGR COMPASS, V8, P198, DOI 10.1111/gec3.12118
   Gupta J, 2010, ENVIRON SCI POLICY, V13, P459, DOI 10.1016/j.envsci.2010.05.006
   Hagedorn G, 2019, SCIENCE, V364, P139, DOI 10.1126/science.aax3807
   Hamilton SH, 2015, ENVIRON MODELL SOFTW, V64, P215, DOI 10.1016/j.envsoft.2014.12.005
   Harding S., 2014, STATE TROPICS 2014
   Harrison P. A., 2018, The IPBES regional assessment report on biodiversity and ecosystem services for Europe and Central Asia, P571, DOI DOI 10.5281/ZENODO.3237429
   Harrison PA, 2016, NAT CLIM CHANGE, V6, P885, DOI [10.1038/NCLIMATE3039, 10.1038/nclimate3039]
   Hekkala AM, 2018, BIODIVERS CONSERV, V27, P2989, DOI 10.1007/s10531-018-1583-1
   Hermans-Neumann K, 2017, REG ENVIRON CHANGE, V17, P1479, DOI 10.1007/s10113-017-1108-6
   Herrero-Jáuregui C, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10082950
   Holman IP, 2019, REG ENVIRON CHANGE, V19, P711, DOI 10.1007/s10113-018-1328-4
   HOLT RD, 1992, EVOL ECOL, V6, P433, DOI 10.1007/BF02270702
   Holtz G, 2015, ENVIRON INNOV SOC TR, V17, P41, DOI 10.1016/j.eist.2015.05.006
   Holzhauer S, 2019, REG ENVIRON CHANGE, V19, P733, DOI 10.1007/s10113-018-1424-5
   Horvitz N, 2017, J ECOL, V105, P85, DOI 10.1111/1365-2745.12692
   Huber R, 2018, AGR SYST, V167, P143, DOI 10.1016/j.agsy.2018.09.007
   Huet S., 2018, Agricultural Sciences, V9, P340, DOI 10.4236/as.2018.93024
   Hunka AD, 2013, RISK ANAL, V33, P68, DOI 10.1111/j.1539-6924.2012.01835.x
   Ibáñez I, 2014, ECOL APPL, V24, P25, DOI 10.1890/13-0776.1
   IPCC, 2018, GLOBAL WARMING 15 C, V1st, DOI [10.1017/9781009157940, DOI 10.1017/9781009157940]
   Iwamura T, 2014, ENVIRON MODELL SOFTW, V58, P109, DOI 10.1016/j.envsoft.2014.03.008
   IWDB, 2016, INT WEB DATABASE
   Janssen MA, 2007, SOC NATUR RESOUR, V20, P307, DOI 10.1080/08941920601161320
   Janssen MA, 2016, COMPUT SOC SCI, P159, DOI 10.1007/978-3-319-31481-5_3
   Janssen MA, 2014, HUM ECOL, V42, P823, DOI 10.1007/s10745-014-9693-1
   Jedd T, 2015, ENVIRON POLICY GOV, V25, P172, DOI 10.1002/eet.1670
   Jenouvrier S, 2009, P NATL ACAD SCI USA, V106, P1844, DOI 10.1073/pnas.0806638106
   Jönsson AM, 2015, AMBIO, V44, P249, DOI 10.1007/s13280-014-0553-4
   Juhola S, 2016, INT J CLIM CHANG STR, V8, P338, DOI 10.1108/IJCCSM-03-2014-0030
   Kannan Ramesh, 2014, Environment Development and Sustainability, V16, P649, DOI 10.1007/s10668-013-9500-y
   Kattge J, 2011, GLOBAL CHANGE BIOL, V17, P2905, DOI 10.1111/j.1365-2486.2011.02451.x
   Kelly C, 2015, LAND USE POLICY, V46, P11, DOI 10.1016/j.landusepol.2015.01.026
   Kindsvater HK, 2018, TRENDS ECOL EVOL, V33, P676, DOI 10.1016/j.tree.2018.06.004
   Klarenberg G, 2019, SCI DATA, V6, DOI 10.1038/s41597-019-0093-7
   Krausmann F, 2008, ECOL ECON, V65, P187, DOI 10.1016/j.ecolecon.2007.06.009
   Lade SJ, 2013, THEOR ECOL-NETH, V6, P359, DOI 10.1007/s12080-013-0187-3
   Laurance WF, 2011, BIOL CONSERV, V144, P56, DOI 10.1016/j.biocon.2010.09.021
   Lawton JH, 1999, OIKOS, V84, P177, DOI 10.2307/3546712
   Leclère D, 2020, NATURE, V585, P551, DOI 10.1038/s41586-020-2705-y
   Leroux SJ, 2013, ECOL APPL, V23, P815, DOI 10.1890/12-1407.1
   Leskovec J., 2014, SNAP Datasets: Stanford Large Network Dataset Collection
   Levine JM, 2017, NATURE, V546, P56, DOI 10.1038/nature22898
   Levy S, 2011, NATURE, V479, P164, DOI 10.1038/479164a
   Li X, 2017, ANN AM ASSOC GEOGR, V107, P1040, DOI 10.1080/24694452.2017.1303357
   Lippe M, 2019, GEOINFORMATICA, V23, P269, DOI 10.1007/s10707-018-00337-8
   Lovejoy TE, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aat2340
   Magliocca NR, 2018, GLOBAL ENVIRON CHANG, V50, P1, DOI 10.1016/j.gloenvcha.2018.03.003
   Maguire KC, 2015, ANNU REV ECOL EVOL S, V46, P343, DOI 10.1146/annurev-ecolsys-112414-054441
   Malek Z, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab309e
   McLeman R, 2006, CLIMATIC CHANGE, V76, P31, DOI 10.1007/s10584-005-9000-7
   Merilä J, 2014, EVOL APPL, V7, P1, DOI 10.1111/eva.12137
   Meyfroid P, 2018, GLOBAL ENVIRON CHANG, V53, P52, DOI 10.1016/j.gloenvcha.2018.08.006
   Meyfroidt P, 2013, J LAND USE SCI, V8, P341, DOI 10.1080/1747423X.2012.667452
   Millington JDA, 2017, PROG HUM GEOG, V41, P68, DOI 10.1177/0309132515627021
   Montañola-Sales C, 2016, PARALLEL COMPUT, V59, P151, DOI 10.1016/j.parco.2016.07.001
   Müller-Hansen F, 2017, EARTH SYST DYNAM, V8, P977, DOI 10.5194/esd-8-977-2017
   Naugle AB, 2019, INT J SYST DYN APPL, V8, P1, DOI 10.4018/IJSDA.2019010101
   Nepstad D, 2014, SCIENCE, V344, P1118, DOI 10.1126/science.1248525
   New Climate Institute, 2019, CLIM POL DAT NEWCLIM
   Newbold T, 2019, NAT ECOL EVOL, V3, P522, DOI 10.1038/s41559-019-0816-3
   Nicholson E, 2019, TRENDS ECOL EVOL, V34, P57, DOI 10.1016/j.tree.2018.10.006
   OECD, 2019, ENV POL TOOLS EV OEC
   Oliveira LJC, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/2/024021
   ORESKES N, 1994, SCIENCE, V263, P641, DOI 10.1126/science.263.5147.641
   Page SE, 2014, EUR J SOC PSYCHOL, V44, P267, DOI 10.1002/ejsp.2016
   Parker DC, 2008, J LAND USE SCI, V3, P41, DOI 10.1080/17474230802048151
   Parrott L, 2017, METHODS ECOL EVOL, V8, P1005, DOI 10.1111/2041-210X.12757
   Parrott L, 2011, ECOL INFORM, V6, P44, DOI 10.1016/j.ecoinf.2010.07.001
   Pearson RG, 2014, NAT CLIM CHANGE, V4, P217, DOI [10.1038/NCLIMATE2113, 10.1038/nclimate2113]
   Pelini SL, 2010, GLOBAL CHANGE BIOL, V16, P2923, DOI 10.1111/j.1365-2486.2010.02177.x
   Pinho PF, 2015, REG ENVIRON CHANGE, V15, P643, DOI 10.1007/s10113-014-0659-z
   Pongratz J, 2018, GLOBAL CHANGE BIOL, V24, P1470, DOI 10.1111/gcb.13988
   Preston BL, 2013, SUSTAINABILITY-BASEL, V5, P1011, DOI 10.3390/su5031011
   Rai V, 2015, ENVIRON MODELL SOFTW, V70, P163, DOI 10.1016/j.envsoft.2015.04.014
   Rapacciuolo G, 2019, ECOGRAPHY, V42, P1247, DOI 10.1111/ecog.04616
   Richerson PJ, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0498
   Ripple WJ, 2020, BIOSCIENCE, V70, P8, DOI 10.1093/biosci/biz088
   Robinson DT, 2018, EARTH SYST DYNAM, V9, P895, DOI 10.5194/esd-9-895-2018
   Rogelj J., 2018, Mitigation Pathways Compatible with 1.5C in the Context of Sustainable Development, P82
   Romagnoni G, 2015, ECOL MODEL, V300, P50, DOI 10.1016/j.ecolmodel.2014.12.016
   Romero-Mujalli D, 2019, REG ENVIRON CHANGE, V19, P1, DOI 10.1007/s10113-018-1406-7
   Rosa IMD, 2014, GLOBAL CHANGE BIOL, V20, P1707, DOI 10.1111/gcb.12523
   Sala OE, 2000, SCIENCE, V287, P1770, DOI 10.1126/science.287.5459.1770
   Salganik MJ, 2020, P NATL ACAD SCI USA, V117, P8398, DOI 10.1073/pnas.1915006117
   Sarjoughian HS, 2015, SIMUL FOUND METH APP, P107, DOI 10.1007/978-3-319-15096-3_6
   Scheffers BR, 2016, SCIENCE, V354, DOI 10.1126/science.aaf7671
   Schlüter M, 2019, ECOL SOC, V24, DOI 10.5751/ES-10716-240131
   Schlüter M, 2019, ECOL SOC, V24, DOI 10.5751/ES-11012-240311
   Schulze J, 2017, JASSS-J ARTIF SOC S, V20, DOI 10.18564/jasss.3423
   Schwartzman S, 2000, CONSERV BIOL, V14, P1351, DOI 10.1046/j.1523-1739.2000.99329.x
   Schweiger O, 2008, ECOLOGY, V89, P3472, DOI 10.1890/07-1748.1
   Scown MW, 2019, P NATL ACAD SCI USA, V116, P4911, DOI 10.1073/pnas.1812100116
   Sist P, 2015, APPL VEG SCI, V18, P171, DOI 10.1111/avsc.12125
   Spies TA, 2010, LANDSCAPE ECOL, V25, P1185, DOI 10.1007/s10980-010-9483-0
   Srinivasan V, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011087
   Steel D., 2007, Across the Boundaries: Extrapolation in Biology and Social Sciences
   Stehfest E, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09945-w
   Stelzenmüller V, 2010, MAR POLLUT BULL, V60, P1743, DOI 10.1016/j.marpolbul.2010.06.024
   STERN PC, 1995, J APPL SOC PSYCHOL, V25, P1611, DOI 10.1111/j.1559-1816.1995.tb02636.x
   Sun ZL, 2013, ENVIRON MODELL SOFTW, V45, P15, DOI 10.1016/j.envsoft.2012.06.007
   Synes NW, 2019, ECOGRAPHY, V42, P814, DOI 10.1111/ecog.04039
   Tadesse G, 2014, APPL GEOGR, V54, P149, DOI 10.1016/j.apgeog.2014.08.001
   Taubert F, 2018, NATURE, V554, P519, DOI 10.1038/nature25508
   Travis JMJ, 2013, OIKOS, V122, P1532, DOI 10.1111/j.1600-0706.2013.00399.x
   Ullah IsaacI.T., 2013, The consequences of human land-use strategies during the PPNB-LN transition. A simulation modeling approach
   United Nations, 2019, The Climate Crisis-A Race We Can Win
   United Nations Statistics Division, 2019, UNSD DEM SOC STAT
   Urban MC, 2016, SCIENCE, V353, P1113, DOI 10.1126/science.aad8466
   Urban MC, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.585
   Urban MC, 2015, SCIENCE, V348, P571, DOI 10.1126/science.aaa4984
   Urban MC, 2012, P ROY SOC B-BIOL SCI, V279, P2072, DOI 10.1098/rspb.2011.2367
   Václavík T, 2013, GLOBAL ENVIRON CHANG, V23, P1637, DOI 10.1016/j.gloenvcha.2013.09.004
   van Vliet J, 2015, LANDSCAPE URBAN PLAN, V133, P24, DOI 10.1016/j.landurbplan.2014.09.001
   Vellend M, 2010, Q REV BIOL, V85, P183, DOI 10.1086/652373
   Verburg PH, 2019, CURR OPIN ENV SUST, V38, P77, DOI 10.1016/j.cosust.2019.05.002
   Vulturius G, 2018, REG ENVIRON CHANGE, V18, P511, DOI 10.1007/s10113-017-1218-1
   Warren R, 2011, PHILOS T R SOC A, V369, P217, DOI 10.1098/rsta.2010.0271
   Watts DJ, 2017, NAT HUM BEHAV, V1, DOI 10.1038/s41562-016-0015
   Willcock S, 2018, ECOSYST SERV, V33, P165, DOI 10.1016/j.ecoser.2018.04.004
   Williams GJ, 2015, ECOGRAPHY, V38, P751, DOI 10.1111/ecog.01353
   Wisz MS, 2013, BIOL REV, V88, P15, DOI 10.1111/j.1469-185X.2012.00235.x
   Wolf J, 2011, ADV GLOB CHANGE RES, V42, P21, DOI 10.1007/978-94-007-0567-8_2
   Xu ZC, 2020, NATURE, V577, P74, DOI 10.1038/s41586-019-1846-3
   Young OR, 2010, GLOBAL ENVIRON CHANG, V20, P378, DOI 10.1016/j.gloenvcha.2009.10.001
   Yousefpour R, 2017, ECOL SOC, V22, DOI 10.5751/ES-09614-220440
   Yusoff K, 2011, WIRES CLIM CHANGE, V2, P516, DOI 10.1002/wcc.117
NR 203
TC 10
Z9 10
U1 0
U2 35
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
EI 2575-8314
J9 PEOPLE NAT
JI People Nat.
PD FEB
PY 2021
VL 3
IS 1
BP 88
EP 103
DI 10.1002/pan3.10167
PG 16
WC Biodiversity Conservation; Ecology
WE Emerging Sources Citation Index (ESCI)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA RY1SH
UT WOS:000647696600007
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Benveniste, H
   Oppenheimer, M
   Fleurbaey, M
AF Benveniste, Helene
   Oppenheimer, Michael
   Fleurbaey, Marc
TI Effect of border policy on exposure and vulnerability to climate change
SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
   AMERICA
LA English
DT Article
DE migration; climate change impacts; border policy; integrated assessment
   models; shared socioeconomic pathways
ID INTERNATIONAL MIGRATION; ECONOMIC-IMPACT; COUNTRIES; VARIABILITY;
   REMITTANCES; LIVES; FLOWS; MODEL; ERA
AB Migration may be increasingly used as adaptation strategy to reduce populations' exposure and vulnerability to climate change impacts. Conversely, either through lack of information about risks at destinations or as outcome of balancing those risks, people might move to locations where they are more exposed to climatic risk than at their origin locations. Climate damages, whose quantification informs understanding of societal exposure and vulnerability, are typically computed by integrated assessment models (IAMs). Yet migration is hardly included in commonly used IAMs. In this paper, we investigate how border policy, a key influence on international migration flows, affects exposure and vulnerability to climate change impacts. To this aim, we include international migration and remittance dynamics explicitly in a widely used IAM employing a gravity model and compare four scenarios of border policy. We then quantify effects of border policy on population distribution, income, exposure, and vulnerability and of CO2 emissions and temperature increase for the period 2015 to 2100 along five scenarios of future development and climate change. We find that most migrants tend to move to areas where they are less exposed and vulnerable than where they came from. Our results confirm that migration and remittances can positively contribute to climate change adaptation. Crucially, our findings imply that restrictive border policy can increase exposure and vulnerability, by trapping people in areas where they are more exposed and vulnerable than where they would otherwise migrate. These results suggest that the consequences of migration policy should play a greater part in deliberations about international climate policy.
C1 [Benveniste, Helene; Oppenheimer, Michael; Fleurbaey, Marc] Princeton Univ, Sch Publ & Int Affairs, Princeton, NJ 08544 USA.
   [Oppenheimer, Michael] Princeton Univ, Dept Geosci, Princeton, NJ 08544 USA.
   [Fleurbaey, Marc] Princeton Univ, Univ Ctr Human Values, Princeton, NJ 08544 USA.
   [Fleurbaey, Marc] CNRS, Paris Sch Econ, Paris Jourdan Sci Econ, F-75014 Paris, France.
C3 Princeton University; Princeton University; Princeton University; Paris
   School of Economics; Universite PSL; Ecole Normale Superieure (ENS);
   Ecole des Hautes Etudes en Sciences Sociales (EHESS); Institut
   Polytechnique de Paris; Ecole des Ponts ParisTech; Centre National de la
   Recherche Scientifique (CNRS)
RP Benveniste, H (corresponding author), Princeton Univ, Sch Publ & Int Affairs, Princeton, NJ 08544 USA.
EM helene.benveniste@princeton.edu
RI Oppenheimer, Michael/ACV-2153-2022; Fleurbaey, Marc/HHS-9231-2022
OI Oppenheimer, Michael/0000-0002-9708-5914; Fleurbaey,
   Marc/0000-0002-5342-8065; Benveniste, Helene/0000-0003-1627-0219
CR Abel GJ, 2019, SCI DATA, V6, DOI 10.1038/s41597-019-0089-3
   Abel GJ, 2019, GLOBAL ENVIRON CHANG, V54, P239, DOI 10.1016/j.gloenvcha.2018.12.003
   Abel GJ, 2018, INT MIGR REV, V52, P809, DOI 10.1111/imre.12327
   Adams RH, 2011, J DEV STUD, V47, P809, DOI 10.1080/00220388.2011.563299
   [Anonymous], 2017, VETERANS NEW AMERICA, P5
   [Anonymous], 2020, WP20016 INT I APPL S
   [Anonymous], 2000, Warming the world: economic models of globalwarming
   Anthoff D, 2019, J ASSOC ENVIRON RESO, V6, P29, DOI 10.1086/701900
   Anthoff D, 2013, CLIMATIC CHANGE, V117, P515, DOI 10.1007/s10584-013-0706-7
   Anthoff David., DATA FUND CLIMATE FR
   Azose JJ, 2019, P NATL ACAD SCI USA, V116, P116, DOI 10.1073/pnas.1722334116
   Benveniste H., 2020, EFFECT BORDER POLICY, DOI 10.6084/m9.figshare.13009988.v1
   Bertoli S, 2013, J DEV ECON, V102, P79, DOI 10.1016/j.jdeveco.2012.12.001
   BORJAS GJ, 1995, J ECON PERSPECT, V9, P3, DOI 10.1257/jep.9.2.3
   Büchs M, 2013, ECOL ECON, V90, P114, DOI 10.1016/j.ecolecon.2013.03.007
   Burzynski Michal., 2019, CLIMATE CHANGE INEQU
   Cai RH, 2016, J ENVIRON ECON MANAG, V79, P135, DOI 10.1016/j.jeem.2016.06.005
   Carrasco-Escobar G, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-64043-y
   Cattaneo C, 2019, REV ENV ECON POLICY, V13, P189, DOI 10.1093/reep/rez008
   Cattaneo C, 2016, J DEV ECON, V122, P127, DOI 10.1016/j.jdeveco.2016.05.004
   Cohen JE, 2008, P NATL ACAD SCI USA, V105, P15269, DOI 10.1073/pnas.0808185105
   de Haas H, 2019, POPUL DEV REV, V45, P885, DOI 10.1111/padr.12291
   Desmet K., AM EC J MACROECONOMI
   Desmet K, 2015, J URBAN ECON, V88, P16, DOI 10.1016/j.jue.2015.04.004
   Duro JA, 2006, ENERG ECON, V28, P170, DOI 10.1016/j.eneco.2005.12.004
   Fokkema T, 2013, INT MIGR REV, V47, P539, DOI 10.1111/imre.12032
   Gemenne F, 2011, PHILOS T R SOC A, V369, P182, DOI 10.1098/rsta.2010.0287
   Gidden MJ, 2019, GEOSCI MODEL DEV, V12, P1443, DOI 10.5194/gmd-12-1443-2019
   Grecequet M, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9050720
   Johansson-Stenman O, 2008, J HEALTH ECON, V27, P739, DOI 10.1016/j.jhealeco.2007.10.001
   JONESLEE MW, 1992, ECON J, V102, P80, DOI 10.2307/2234853
   Kim K, 2010, INT MIGR REV, V44, P899, DOI 10.1111/j.1747-7379.2010.00830.x
   Kolstad C, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P207
   Lutz W., 2019, DEMOGRAPHIC SCENARIO
   Lutz W., 2018, Demographic and human capital scenarios for the 21st century: 2018 assessment for 201 countries
   Mastrorillo M, 2016, GLOBAL ENVIRON CHANG, V39, P155, DOI 10.1016/j.gloenvcha.2016.04.014
   McLeman R, 2019, NAT CLIM CHANGE, V9, P911, DOI 10.1038/s41558-019-0634-2
   Nawrotzki RJ, 2015, GLOBAL ENVIRON CHANG, V35, P463, DOI 10.1016/j.gloenvcha.2015.09.002
   O'Neill BC, 2017, GLOBAL ENVIRON CHANG, V42, P169, DOI 10.1016/j.gloenvcha.2015.01.004
   O'Neill BC, 2016, GEOSCI MODEL DEV, V9, P3461, DOI 10.5194/gmd-9-3461-2016
   ORTEGA F., 2009, CAUSES EFFECTS INT M
   Ortega F, 2014, J INT ECON, V92, P231, DOI 10.1016/j.jinteco.2013.11.008
   Peri G., 2019, 25728 NBER
   Rigaud KK, 2018, Groundswell: Preparing for Internal Climate Migration, DOI 10.1596/29461
   Samir KC, 2017, GLOBAL ENVIRON CHANG, V42, P181, DOI 10.1016/j.gloenvcha.2014.06.004
   Sunstein CR, 2004, COLUMBIA LAW REV, V104, P205, DOI 10.2307/4099352
   The Government Office, 2011, FOR MIGR GLOB ENV CH
   United Nations, 2019, POP DYN WORLD POP PR
   World Bank, World development indicators
   Yang D, 2008, ECON J, V118, P591, DOI 10.1111/j.1468-0297.2008.02134.x
NR 50
TC 25
Z9 26
U1 3
U2 17
PU NATL ACAD SCIENCES
PI WASHINGTON
PA 2101 CONSTITUTION AVE NW, WASHINGTON, DC 20418 USA
SN 0027-8424
EI 1091-6490
J9 P NATL ACAD SCI USA
JI Proc. Natl. Acad. Sci. U. S. A.
PD OCT 27
PY 2020
VL 117
IS 43
BP 26692
EP 26702
DI 10.1073/pnas.2007597117
PG 11
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics
GA OH6ZD
UT WOS:000582743300025
PM 33046645
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Omukuti, J
AF Omukuti, Jessica
TI Challenging the obsession with local level institutions in country
   ownership of climate change adaptation
SO LAND USE POLICY
LA English
DT Article
DE Climate justice; Equity; Climate finance; Country ownership; Local
   institutions; Voice; Participation; UNFCCC
ID PUBLIC-PARTICIPATION; ELITE CAPTURE; PROCEDURAL JUSTICE; POLICY;
   VULNERABILITY; MANAGEMENT; FAIRNESS; PROJECT; IMPLEMENTATION; ENGAGEMENT
AB Working with local level actors to enable country ownership is applauded within the multilateral climate finance landscape. However, are emerging adaptation interventions equitable by reflecting the priorities of local level vulnerable populations? This research sought to find out whether the engagement of local institutions in projects that seek to achieve country ownership enabled local level vulnerable groups to participate in and influence adaptation decision-making processes and outcomes, thereby enabling them to have a voice in local level adaptation. It used a case study of a Global Environmental Facility-managed coastal adaptation project in Tanzania, which sought to restore and protect mangroves to enable adaptation to sea level rise. Data was generated from 13 Focus Group Discussions and survey questionnaires administered to 629 individuals in three locations on the mainland of Tanzania and in Zanzibar. The findings indicate that community-based organizations were used to facilitate the implementation of project activities at the community level. However, participation spaces created in the project and facilitated by these local institutions were exclusionary and failed to enable vulnerable community groups to have a voice on mangrove restoration and protection. Use of these local institutions altered local level power relations and disempowered other pre-existing and (in)formal local resource management institutions. Community members questioned legitimacy of actions implemented by these local institutions. These findings suggest that working with local level stakeholders to generate country ownership does not automatically guarantee that actions will address the needs of local vulnerable groups. Multilateral climate finance institutions should acknowledge these risks and implement measures to address them.
C1 [Omukuti, Jessica] Univ Reading, Sch Agr Policy & Dev, Reading RG6 5AH, Berks, England.
C3 University of Reading
RP Omukuti, J (corresponding author), Univ Reading, Sch Agr Policy & Dev, Reading RG6 5AH, Berks, England.
EM j.a.omukuti@pgr.reading.ac.uk
OI OMUKUTI, Jessica/0000-0003-3094-8647
FU Leverhulme Doctoral Programme in Climate Justice: Ethics, Politics, Law
   at the University of Reading [DS-2014-002]
FX This work was funded through the Leverhulme Doctoral Programme in
   Climate Justice: Ethics, Politics, Law (Grant number DS-2014-002) at the
   University of Reading.
CR Adegun OB, 2015, ENVIRON URBAN, V27, P407, DOI 10.1177/0956247815569700
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Agarwal A, 2012, WIRES CLIM CHANGE, V3, P565, DOI 10.1002/wcc.193
   Anand P, 2001, J ECON PSYCHOL, V22, P247, DOI 10.1016/S0167-4870(01)00031-9
   [Anonymous], PROJ ID DEV COR CAP
   [Anonymous], FIN AD CLIM CHANG GL
   [Anonymous], 1994, Space, place and gender
   [Anonymous], GLOBALIZATIONS, DOI [10.1080/14747730500367850, DOI 10.1080/14747730500367850]
   [Anonymous], UN REP TANZ NAT AD P
   [Anonymous], AFR J ENV SCI TECH
   [Anonymous], 1999, ZANZ NAT FOR POL
   [Anonymous], REV DRAFT GEF OP STR
   [Anonymous], IMPLEMENTATION CONCR
   [Anonymous], PLACE SUBNATIONATION
   [Anonymous], 2019, STAT VIETN COMM BAS
   [Anonymous], EDITORIAL SOCIAL POL
   [Anonymous], REP GREEN CLIM FUND
   [Anonymous], OV EV AD FUND JUL 20
   [Anonymous], COUNTR OWN GEF PROJ
   [Anonymous], 2014, 5 OV PERF STUD GEF F
   [Anonymous], EXPLORING AGENCY AFR
   [Anonymous], AUSTR MULT ASS MARCH
   Arnall A, 2013, J MOD AFR STUD, V51, P305, DOI 10.1017/S0022278X13000037
   ARNSTEIN SR, 1969, J AM I PLANNERS, V35, P216, DOI 10.1080/01944366908977225
   Arora S, 2012, ORGANIZATION, V19, P481, DOI 10.1177/1350508411414294
   Atteridge A, 2018, WIRES CLIM CHANGE, V9, DOI 10.1002/wcc.500
   Aylett A, 2010, ENVIRON PLANN A, V42, P99, DOI 10.1068/a4274
   Baggio JA, 2015, ECOL SOC, V20, DOI 10.5751/ES-07484-200202
   Bahauddin KM, 2016, ENVIRON PRAC, V18, P32, DOI 10.1017/S1466046615000393
   Below TB, 2015, REG ENVIRON CHANGE, V15, P1169, DOI 10.1007/s10113-014-0620-1
   Beymer-Farris BA, 2012, GLOBAL ENVIRON CHANG, V22, P332, DOI 10.1016/j.gloenvcha.2011.11.006
   Bifulco L, 2013, EUR J SOC THEORY, V16, P174, DOI 10.1177/1368431012459695
   Bovaird T, 2007, PUBLIC ADMIN REV, V67, P846, DOI 10.1111/j.1540-6210.2007.00773.x
   Boyd E., 2008, Development (London), V51, P390, DOI 10.1057/dev.2008.32
   Bunce Matthew, 2010, Environment Development and Sustainability, V12, P407, DOI 10.1007/s10668-009-9203-6
   Cardona OD, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P65
   Cash DW, 2000, GLOBAL ENVIRON CHANG, V10, P109, DOI 10.1016/S0959-3780(00)00017-0
   Chu E, 2016, CLIM POLICY, V16, P372, DOI 10.1080/14693062.2015.1019822
   Colenbrander S, 2018, CLIM POLICY, V18, P902, DOI 10.1080/14693062.2017.1388212
   Cornwall A., 2008, Community Development Journal, V43, P269, DOI [DOI 10.1093/CDJ/BSN010, 10.1093/cdj/bsn010]
   Donnelly-Roark P., 2001, CAN LOCAL I REDUCE P, V2677
   Eilola S, 2015, J ENVIRON PLANN MAN, V58, P1242, DOI 10.1080/09640568.2014.921142
   Ellison JC, 2015, WETL ECOL MANAG, V23, P115, DOI 10.1007/s11273-014-9397-8
   Fenton A, 2014, CLIM DEV, V6, P388, DOI 10.1080/17565529.2014.953902
   Few R, 2007, CLIM POLICY, V7, P46, DOI 10.1080/14693062.2007.9685637
   Fonta WM, 2018, CLIM POLICY, V18, P1210, DOI 10.1080/14693062.2018.1459447
   Fritzen SA, 2007, WORLD DEV, V35, P1359, DOI 10.1016/j.worlddev.2007.05.001
   Gaventa J, 2016, IDS BULL-I DEV STUD, V47, P11, DOI 10.19088/1968-2016.164
   GCF, 2018, APPR SCOP PROV SUPP
   Gustavson K, 2009, OCEAN COAST MANAGE, V52, P78, DOI 10.1016/j.ocecoaman.2008.10.008
   Guy S, 2014, EUR J SOC PSYCHOL, V44, P421, DOI 10.1002/ejsp.2039
   Hansen L, 2010, CONSERV BIOL, V24, P63, DOI 10.1111/j.1523-1739.2009.01404.x
   Islam MT, 2017, J ENVIRON MANAGE, V200, P347, DOI 10.1016/j.jenvman.2017.05.092
   JENTOFT S, 1995, MAR POLICY, V19, P227, DOI 10.1016/0308-597X(94)00010-P
   Kebede AS, 2012, REG ENVIRON CHANGE, V12, P81, DOI 10.1007/s10113-011-0239-4
   Lebel L, 2018, INT ENVIRON AGREEM-P, V18, P429, DOI 10.1007/s10784-018-9397-x
   Lebel L, 2011, REG ENVIRON CHANGE, V11, P45, DOI 10.1007/s10113-010-0118-4
   Lee M, 2013, J ENVIRON LAW, V25, P33, DOI 10.1093/jel/eqs027
   LIND EA, 1990, J PERS SOC PSYCHOL, V59, P952, DOI 10.1037/0022-3514.59.5.952
   Malina MA, 2011, QUAL RES ACCOUNT MAN, V8, P59, DOI 10.1108/11766091111124702
   Mangora MM, 2011, WETL ECOL MANAG, V19, P533, DOI 10.1007/s11273-011-9234-2
   Manor J., 2006, Aid that Works: Successful Development in Fragile States
   Martin A, 2013, GEOGR J, V179, P122, DOI 10.1111/geoj.12018
   Massey E, 2013, REG ENVIRON CHANGE, V13, P341, DOI 10.1007/s10113-012-0341-2
   McManus P, 2014, URBAN CLIM, V10, P1, DOI 10.1016/j.uclim.2014.08.003
   McNally CG, 2011, P NATL ACAD SCI USA, V108, P13945, DOI 10.1073/pnas.1101825108
   Middlemiss L, 2010, ENERG POLICY, V38, P7559, DOI 10.1016/j.enpol.2009.07.003
   Montambeault F, 2011, LAT AM POLIT SOC, V53, P91, DOI 10.1111/j.1548-2456.2011.00110.x
   Murdock BS, 2005, SCI TECHNOL HUM VAL, V30, P223, DOI 10.1177/0162243904266104
   Nagoda S, 2017, WORLD DEV, V100, P85, DOI 10.1016/j.worlddev.2017.07.022
   Nagoda S, 2015, GLOBAL ENVIRON CHANG, V35, P570, DOI 10.1016/j.gloenvcha.2015.08.014
   Nakhooda S, 2011, GLOB POLICY, V2, P120, DOI 10.1111/j.1758-5899.2011.00133.x
   Nasiritousi N, 2016, INT ENVIRON AGREEM-P, V16, P109, DOI 10.1007/s10784-014-9243-8
   Nightingale AJ, 2016, AREA, V48, P41, DOI 10.1111/area.12195
   Nygaard Ivan., 2008, European Journal of Development Research, V20, P649
   Pita C, 2010, MAR POLICY, V34, P1093, DOI 10.1016/j.marpol.2010.03.009
   PRETTY JN, 1995, WORLD DEV, V23, P1247, DOI 10.1016/0305-750X(95)00046-F
   Regmi BR, 2016, CLIMATIC CHANGE, V138, P537, DOI 10.1007/s10584-016-1765-3
   Rydin Y., 2000, LOCAL ENVIRON, V5, P153, DOI 10.1080/13549830050009328
   Schaer C, 2018, CLIM DEV, V10, P243, DOI 10.1080/17565529.2017.1291405
   Schalatek Liane Smita Nakhooda Neil Bird., 2012, The Green Climate Fund
   Schlosberg D, 2017, ENVIRON POLIT, V26, P413, DOI 10.1080/09644016.2017.1287628
   Sealey-Huggins L, 2017, THIRD WORLD Q, V38, P2444, DOI 10.1080/01436597.2017.1368013
   Smith PD, 2001, SOC NATUR RESOUR, V14, P239, DOI 10.1080/089419201750111056
   Smucker TA, 2015, GEOFORUM, V59, P39, DOI 10.1016/j.geoforum.2014.11.018
   Sovacool BK, 2018, WORLD DEV, V102, P183, DOI 10.1016/j.worlddev.2017.10.014
   Sovacool BK, 2017, THIRD WORLD Q, V38, P1249, DOI 10.1080/01436597.2017.1282816
   Sovacool BK, 2017, CLIMATIC CHANGE, V140, P209, DOI 10.1007/s10584-016-1839-2
   Sprain L., 2016, The Good Society, V25, P62, DOI [DOI 10.5325/GOODSOCIETY.25.1.0062, 10.5325/goodsociety.25.1.0062]
   Suckall N, 2014, APPL GEOGR, V46, P111, DOI 10.1016/j.apgeog.2013.11.005
   Tang-Lee D, 2016, RESOUR POLICY, V47, P28, DOI 10.1016/j.resourpol.2015.11.003
   Tschakert P, 2016, GLOBAL ENVIRON CHANG, V40, P182, DOI 10.1016/j.gloenvcha.2016.07.004
   Tschakert P, 2009, ANTIPODE, V41, P706, DOI 10.1111/j.1467-8330.2009.00695.x
   Twigg J., 1999, Australian Journal of Emergency Management, V14, P51, DOI DOI 10.3316/INFORMIT.391794893859337
   Virtanen P., 2011, Consilience: The Journal of Sustainable Development, P96
   Winkler T, 2011, J PLAN EDUC RES, V31, P258, DOI 10.1177/0739456X11413603
   Wong S, 2013, S AFR J INT AFF, V20, P379, DOI 10.1080/10220461.2013.841800
   Wood BT, 2016, J ENVIRON DEV, V25, P363, DOI 10.1177/1070496516664179
   Yanda PZ, 2019, J COAST CONSERV, V23, P173, DOI 10.1007/s11852-018-0650-9
   Yaro JA, 2015, CLIM DEV, V7, P235, DOI 10.1080/17565529.2014.951018
   Young IM, 2011, JUSTICE AND THE POLITICS OF DIFFERENCE, P1
   Zurita L, 2006, LAND USE POLICY, V23, P18, DOI 10.1016/j.landusepol.2004.09.002
NR 102
TC 21
Z9 22
U1 2
U2 35
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0264-8377
EI 1873-5754
J9 LAND USE POLICY
JI Land Use Pol.
PD MAY
PY 2020
VL 94
AR 104525
DI 10.1016/j.landusepol.2020.104525
PG 12
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA LE4WJ
UT WOS:000526720000014
DA 2025-01-10
ER

PT J
AU Becker, M
   Papa, F
   Karpytchev, M
   Delebecque, C
   Krien, Y
   Khan, JU
   Ballu, V
   Durand, F
   Le Cozannet, G
   Islam, AKMS
   Calmant, S
   Shum, CK
AF Becker, Melanie
   Papa, Fabrice
   Karpytchev, Mikhail
   Delebecque, Caroline
   Krien, Yann
   Khan, Jamal Uddin
   Ballu, Valerie
   Durand, Fabien
   Le Cozannet, Goneri
   Islam, A. K. M. Saiful
   Calmant, Stephane
   Shum, C. K.
TI Water level changes, subsidence, and sea level rise in the
   Ganges-Brahmaputra-Meghna delta
SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
   AMERICA
LA English
DT Article
DE delta; water level; sea level; subsidence; Bangladesh
ID INDIAN-OCEAN; NORTHERN BAY; EL-NINO; VARIABILITY; BANGLADESH;
   REGRESSION; ALTIMETRY; IMPACTS; DIPOLE; MOTION
AB Being one of the most vulnerable regions in the world, the Ganges-Brahmaputra-Meghna delta presents a major challenge for climate change adaptation of nearly 200 million inhabitants. It is often considered as a delta mostly exposed to sea-level rise and exacerbated by land subsidence, even if the local vertical land movement rates remain uncertain. Here, we reconstruct the water-level (WL) changes over 1968 to 2012, using an unprecedented set of 101 water-level gauges across the delta. Over the last 45 y, WL in the delta increased slightly faster (similar to 3 mm/y), than global mean sea level (similar to 2 mm/y). However, from 2005 onward, we observe an acceleration in the WL rise in the west of the delta. The interannual WL fluctuations are strongly modulated by El Nino Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) variability, with WL lower than average by 30 to 60 cm during co-occurrent El Nino and positive IOD events and higher-than-average WL, by 16 to 35 cm, during La Nina years. Using satellite altimetry and WL reconstructions, we estimate that the maximum expected rates of delta subsidence during 1993 to 2012 range from 1 to 7 mm/y. By 2100, even under a greenhouse gas emission mitigation scenario (Representative Concentration Pathway [RCP] 4.5), the subsidence could double the projected sea-level rise, making it reach 85 to 140 cm across the delta. This study provides a robust regional estimate of contemporary relative WL changes in the delta induced by continental freshwater dynamics, vertical land motion, and sea-level rise, giving a basis for developing climate mitigation strategies.
C1 [Becker, Melanie; Karpytchev, Mikhail; Ballu, Valerie] Univ La Rochelle, CNRS, Littoral Environm & Soc, F-17000 La Rochelle, France.
   [Papa, Fabrice; Delebecque, Caroline; Khan, Jamal Uddin; Durand, Fabien; Calmant, Stephane] Univ Toulouse Paul Sabatier, Lab Etud Geophys & Oceanog Spatiales, CNRS, Inst Rech Dev,Ctr Natl Etud Spatiales, F-31400 Toulouse, France.
   [Papa, Fabrice] Indian Inst Sci, Int Joint Lab Inst Rech Dev & Indian Inst Sci, Indo French Cell Water Sci, Bangalore 560012, Karnataka, India.
   [Krien, Yann] Univ Antilles, Lab Rech Geosci & Energies, F-97159 Pointe A Pitre, France.
   [Khan, Jamal Uddin; Islam, A. K. M. Saiful] Bangladesh Univ Engn & Technol, Inst Water & Flood Management, Dhaka 1000, Bangladesh.
   [Le Cozannet, Goneri] Bur Rech Geol & Minieres, F-45060 Orleans, France.
   [Shum, C. K.] Ohio State Univ, Sch Earth Sci, Div Geodet Sci, Columbus, OH 43210 USA.
   [Shum, C. K.] Chinese Acad Sci, Inst Geodesy & Geophys, Wuhan 430077, Peoples R China.
C3 La Rochelle Universite; Centre National de la Recherche Scientifique
   (CNRS); Universite de Toulouse; Universite Toulouse III - Paul Sabatier;
   Centre National de la Recherche Scientifique (CNRS); Institut de
   Recherche pour le Developpement (IRD); Laboratoire d'Etudes en
   Geophysique et oceanographie spatiales; Indian Institute of Science
   (IISC) - Bangalore; Universite des Antilles; Bangladesh University of
   Engineering & Technology (BUET); Bureau de Recherches Geologiques et
   Minieres (BRGM); University System of Ohio; Ohio State University;
   Chinese Academy of Sciences; Innovation Academy for Precision
   Measurement Science & Technology, CAS
RP Becker, M (corresponding author), Univ La Rochelle, CNRS, Littoral Environm & Soc, F-17000 La Rochelle, France.
EM melanie.becker@univ-lr.fr
RI Le Cozannet, Goneri/F-2005-2011; Islam/AAG-9377-2019; BECKER,
   Melanie/B-3658-2012; BALLU, Valerie/AAA-3325-2020; BALLU,
   Valerie/A-2849-2011; Durand, Fabien/G-4229-2016; Papa,
   Fabrice/D-3695-2009
OI BALLU, Valerie/0000-0002-7985-4636; ISLAM, AKM
   SAIFUL/0000-0002-2435-8280; BECKER, Melanie/0000-0002-0263-5558; Durand,
   Fabien/0000-0001-9660-1422; Khan, Md Jamal Uddin/0000-0002-3494-4179; Le
   Cozannet, Goneri/0000-0003-2421-3003; Papa, Fabrice/0000-0001-6305-6253
FU French Research Agency (Agence Nationale de la Recherche [ANR]) under
   the Deltas Under Global Impact of Change (DELTA) project
   [ANR-17-CE03-0001]; Belmont Forum Coastal Vulnerability Program via the
   ANR [ANR-13-JCLI-0002]; US NSF [ICER-1342644]; Centre national d'etudes
   spatiales (CNES) through the project Terre Solide, Ocean, Surfaces
   Continentales et Atmosphere (TOSCA); European Research Area for Climate
   Services (ERA4CS)/Integrating Sea-Level Projections in Climate Services
   for Coastal Adaptation (INSeaPTION) project [690462]; Strategic Priority
   Research Program of the Chinese Academy of Sciences [XDA19070302];
   National Key R&D Program of China [2017YFA0603103]; Agence Nationale de
   la Recherche (ANR) [ANR-13-JCLI-0002] Funding Source: Agence Nationale
   de la Recherche (ANR)
FX This work was supported by the French Research Agency (Agence Nationale
   de la Recherche [ANR]) under the Deltas Under Global Impact of Change
   (DELTA) project (ANR-17-CE03-0001) and is partially supported by Belmont
   Forum Coastal Vulnerability Program via the ANR (ANR-13-JCLI-0002;
   http://Belmont-BanDAiD.org or http://Belmont-SeaLevel.org) and the US
   NSF (Grant ICER-1342644). M.K. acknowledges the Centre national d'etudes
   spatiales (CNES) through the project Terre Solide, Ocean, Surfaces
   Continentales et Atmosphere (TOSCA)/GEOMINING. G.L.C. acknowledges the
   European Research Area for Climate Services (ERA4CS)/Integrating
   Sea-Level Projections in Climate Services for Coastal Adaptation
   (INSeaPTION) project (Grant 690462). C.K.S. is also partially supported
   by the Strategic Priority Research Program of the Chinese Academy of
   Sciences (Grant XDA19070302), and the National Key R&D Program of China
   (Grant 2017YFA0603103). We also thank C. Mayet and L. Testut for
   providing the M2 tidal constituent amplitude. Portions of this document
   include intellectual property of Esri and its licensors and are used
   under license. Copyright (c) 2019 Esri and its licensors. All rights
   reserved.
CR Ablain M, 2017, SURV GEOPHYS, V38, P7, DOI 10.1007/s10712-016-9389-8
   Akter J, 2016, J COASTAL RES, V32, P1212, DOI 10.2112/JCOASTRES-D-14-00232.1
   Ali A, 1999, CLIMATE RES, V12, P109, DOI 10.3354/cr012109
   [Anonymous], 2018, SEA LEVEL RISE
   [Anonymous], ANN FLOOD REP 2012
   [Anonymous], Plant Omics: Trends and Applications, DOI [DOI 10.1007/978-3-319-31703, DOI 10.1007/978-3-319-99341-6_6]
   [Anonymous], AGU FALL M
   [Anonymous], 2012, IMPLICATIONS CLIMATE
   [Anonymous], DAT AS CONT POP DAT
   [Anonymous], 2013, Disaster Risk Reduction Approaches in Bangladesh. Disaster Risk Reduction, DOI 10.1007/978-4-431-54252-0_10
   [Anonymous], SUPP DAT BECK PNAS
   [Anonymous], BGD81035 FOOD AGR OR
   Aparna SG, 2012, J GEOPHYS RES-OCEANS, V117, DOI 10.1029/2012JC008055
   Becker M, 2019, TROPICAL EXTREMES: NATURAL VARIABILITY AND TRENDS, P203, DOI 10.1016/B978-0-12-809248-4.0007-8
   Brammer H, 2014, CLIM RISK MANAG, V1, P51, DOI 10.1016/j.crm.2013.10.001
   Brown S, 2015, SCI TOTAL ENVIRON, V527, P362, DOI 10.1016/j.scitotenv.2015.04.124
   Buble G, 2010, J GEOPHYS RES-SOL EA, V115, DOI 10.1029/2008JB006155
   Carrère L, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2002GL016473
   Chatterjee RS, 2006, REMOTE SENS ENVIRON, V102, P176, DOI 10.1016/j.rse.2006.02.006
   Chowdhury MR, 2003, THEOR APPL CLIMATOL, V76, P105, DOI 10.1007/s00704-003-0001-z
   CLEVELAND WS, 1979, J AM STAT ASSOC, V74, P829, DOI 10.2307/2286407
   Davis JL, 1999, J GEOPHYS RES-SOL EA, V104, P2733, DOI 10.1029/1998JB900057
   DeConto RM, 2016, NATURE, V531, P591, DOI 10.1038/nature17145
   Deepa JS, 2018, INT J CLIMATOL, V38, P1132, DOI 10.1002/joc.5228
   Durand F, 2019, SURV GEOPHYS, V40, P1437, DOI 10.1007/s10712-019-09536-w
   Ebisuzaki W, 1997, J CLIMATE, V10, P2147, DOI 10.1175/1520-0442(1997)010<2147:AMTETS>2.0.CO;2
   Ericson JP, 2006, GLOBAL PLANET CHANGE, V50, P63, DOI 10.1016/j.gloplacha.2005.07.004
   Favier L, 2014, NAT CLIM CHANGE, V4, P117, DOI [10.1038/nclimate2094, 10.1038/NCLIMATE2094]
   Golledge NR, 2015, NATURE, V526, P421, DOI 10.1038/nature15706
   Grall C, 2018, EARTH PLANET SC LETT, V499, P23, DOI 10.1016/j.epsl.2018.07.008
   Han WQ, 2002, J PHYS OCEANOGR, V32, P216, DOI 10.1175/1520-0485(2002)032<0216:FMOSLI>2.0.CO;2
   Hiatt M, 2019, ESTUAR COAST SHELF S, V224, P117, DOI 10.1016/j.ecss.2019.04.020
   Higgins SA, 2014, J GEOPHYS RES-EARTH, V119, P1768, DOI 10.1002/2014JF003117
   Holgate SJ, 2013, J COASTAL RES, V29, P493, DOI 10.2112/JCOASTRES-D-12-00175.1
   HOLLAND PW, 1977, COMMUN STAT A-THEOR, V6, P813, DOI 10.1080/03610927708827533
   Ikeuchi H, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/12/124011
   Joughin I, 2014, SCIENCE, V344, P735, DOI 10.1126/science.1249055
   Karpytchev M, 2018, GEOPHYS RES LETT, V45, P1433, DOI 10.1002/2017GL076388
   Krien Y, 2019, GEOPHYS RES LETT, V46, P10764, DOI 10.1029/2019GL083601
   Krien Y, 2017, CONT SHELF RES, V135, P58, DOI 10.1016/j.csr.2017.01.014
   Krien Y, 2016, MAR GEOD, V39, P422, DOI 10.1080/01490419.2016.1227405
   Lee SK, 2015, NAT GEOSCI, V8, P445, DOI 10.1038/NGEO2438
   MILLIMAN JD, 1989, AMBIO, V18, P340
   Needham HF, 2015, REV GEOPHYS, V53, P545, DOI 10.1002/2014RG000477
   Nerem RS, 2018, P NATL ACAD SCI USA, V115, P2022, DOI 10.1073/pnas.1717312115
   Nieves V, 2015, SCIENCE, V349, P532, DOI 10.1126/science.aaa4521
   Ostanciaux É, 2012, EARTH-SCI REV, V110, P74, DOI 10.1016/j.earscirev.2011.10.004
   Papa F, 2012, J GEOPHYS RES-OCEANS, V117, DOI 10.1029/2012JC008158
   Papa F, 2010, J GEOPHYS RES-OCEANS, V115, DOI 10.1029/2009JC006075
   Passalacqua P, 2013, J GEOPHYS RES-EARTH, V118, P1838, DOI 10.1002/jgrf.20128
   Pethick J, 2013, GLOBAL PLANET CHANGE, V111, P237, DOI 10.1016/j.gloplacha.2013.09.019
   Pettitt A. N., 1979, Applied Statistics, V28, P126, DOI 10.2307/2346729
   Pfeffer J, 2016, EARTH PLANET SC LETT, V439, P39, DOI 10.1016/j.epsl.2016.01.027
   Prigent C, 2007, J GEOPHYS RES-ATMOS, V112, DOI 10.1029/2006JD007847
   Rayner NA, 2003, J GEOPHYS RES-ATMOS, V108, DOI 10.1029/2002JD002670
   ROSNER B, 1975, TECHNOMETRICS, V17, P221, DOI 10.2307/1268354
   Sahu P, 2011, J EARTH SYST SCI, V120, P435, DOI 10.1007/s12040-011-0077-2
   Saji NH, 1999, NATURE, V401, P360, DOI 10.1038/43855
   Salameh E, 2017, WATER-SUI, V9, DOI 10.3390/w9040245
   Sarker M. H., 2012, The Daily Star
   Singh O.P., 2002, MAR GEOD, V25, P205, DOI [10.1080/01490410290051536, DOI 10.1080/01490410290051536]
   Sreenivas P, 2012, GLOBAL PLANET CHANGE, V80-81, P215, DOI 10.1016/j.gloplacha.2011.11.001
   Srinivasu U, 2017, CLIM DYNAM, V49, P3887, DOI 10.1007/s00382-017-3551-y
   Steckler MS, 2010, J GEOPHYS RES-SOL EA, V115, DOI 10.1029/2009JB007018
   Stocker, 2014, CLIMATE CHANGE 2013
   Streatfield PK, 2008, J HEALTH POPUL NUTR, V26, P261
   Syvitski JPM, 2009, NAT GEOSCI, V2, P681, DOI 10.1038/NGEO629
   Thompson PR, 2016, J GEOPHYS RES-OCEANS, V121, P6762, DOI 10.1002/2016JC012132
   Wilson CA, 2015, ANNU REV MAR SCI, V7, P67, DOI 10.1146/annurev-marine-010213-135032
   Wöppelmann G, 2016, REV GEOPHYS, V54, P64, DOI 10.1002/2015RG000502
NR 70
TC 86
Z9 91
U1 9
U2 57
PU NATL ACAD SCIENCES
PI WASHINGTON
PA 2101 CONSTITUTION AVE NW, WASHINGTON, DC 20418 USA
SN 0027-8424
EI 1091-6490
J9 P NATL ACAD SCI USA
JI Proc. Natl. Acad. Sci. U. S. A.
PD JAN 28
PY 2020
VL 117
IS 4
BP 1867
EP 1876
DI 10.1073/pnas.1912921117
PG 10
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA KG2RY
UT WOS:000509791700013
PM 31907308
OA Bronze, Green Published, Green Accepted
DA 2025-01-10
ER

PT S
AU Martínez-Tagüeña, N
   Huber-Sannwald, E
   Páez, RIM
   Gómez, VMR
   Wislar, CV
   Reyes, RC
   Macías, JU
   Pardo, JJL
AF Martinez-Taguena, N.
   Huber-Sannwald, E.
   Mata Paez, R. I.
   Reyes Gomez, V. M.
   Villarreal Wislar, C.
   Cazares Reyes, R.
   Urquidi Macias, J.
   Lopez Pardo, J. J.
BE Lucatello, S
   HuberSannwald, E
   Espejel, I
   MartinezTaguena, N
TI Conservation and Development in the Biosphere Reserve of Mapimi: A
   Transdisciplinary and Participatory Project to Understand Climate Change
   Adaptation
SO STEWARDSHIP OF FUTURE DRYLANDS AND CLIMATE CHANGE IN THE GLOBAL SOUTH:
   CHALLENGES AND OPPORTUNITIES FOR THE AGENDA 2030
SE Springer Climate
LA English
DT Article; Book Chapter
DE Transdisciplinary research; Rangelands; MAB Reserve; Socio-ecological
   Systems
AB Mexican drylands cover over 50% of its territory. They are important socio-ecological systems (SES), like rangelands that are vital, both for the conservation of multifunctional landscapes and for human development. The UNESCO Biosphere Reserve of Mapimi (BRM) is a dryland SES that harbors an extraordinarily high level of endemism in almost all biotic kingdoms and historically holds evidence of various mobile indigenous groups; later it became an important livestock production center. Thus, the BRM has been affected by land use and climate change for decades. Consequently, the BRM's management plan by the National Commission of Natural Protected Areas (CONANP) seeks both the conservation of endangered species like the desert turtle and the implementation of sustainable development programs. In parallel, while long-term ecological research has generated ample knowledge on desert ecosystems, it has remained unavailable to local inhabitants, who hold local ecological knowledge and are, and will be, the key players and decision makers at the local scale. An interdisciplinary research group has responded to the challenge of linking knowledge systems in the context of global environmental change. They formed a transdisciplinary participatory research working-team with multiple stakeholders to develop projects that reflect interests of all actors. In this chapter, we describe the process of co-designing and jointly executing this research and further present the historic and current development challenges in the RBM, alongside a discussion on the adaptive potential of local communities, their production systems, and the dominant ecosystems in response to government help programs, adverse climatic conditions, and a strong tendency of out-migration. Transdisciplinary research brings numerous benefits when tackling sustainable development challenges in complex dryland SES.
C1 [Martinez-Taguena, N.] Inst Potosino Invest Cient & Tecnol, Consortium Res Innovat & Dev Drylands, Catedra CONACYT, San Luis Potosi, San Luis Potosi, Mexico.
   [Huber-Sannwald, E.] Inst Potosino Invest Cient & Tecnol, Div Ciencias Ambientales, San Luis Potosi, San Luis Potosi, Mexico.
   [Mata Paez, R. I.; Lopez Pardo, J. J.] Inst Potosino Invest Cient & Tecnol AC, San Luis Potosi, San Luis Potosi, Mexico.
   [Reyes Gomez, V. M.] Inst Ecol AC, Red Ambiente & Sustentabilidad, Chihuahua, Mexico.
   [Villarreal Wislar, C.] Comis Nacl Areas Nat Protegidas, Torreon, Mexico.
   [Cazares Reyes, R.; Urquidi Macias, J.] Reserva Biosfera Mapimi, Ejidatario La Soledad, Mapimi, Mexico.
C3 Instituto Potosino Investigacion Cientifica y Tecnologica; Instituto
   Potosino Investigacion Cientifica y Tecnologica; Instituto Potosino
   Investigacion Cientifica y Tecnologica; Instituto de Ecologia - Mexico
RP Huber-Sannwald, E (corresponding author), Inst Potosino Invest Cient & Tecnol, Div Ciencias Ambientales, San Luis Potosi, San Luis Potosi, Mexico.
EM ehs@ipicyt.edu.mx
RI Mata- Páez, Ricardo/CAA-9297-2022
OI Mata Paez, Ricardo Ismael/0000-0003-0977-6676
FU CONACYT [CB 2015-251388B, PDCPN-2017/5036]; Catedra CONACYT [6133, 615]
FX The authors thank all dwellers of the Mapimi Biosphere Reserve, the
   technicians of CONANP, and collaborators of PRONATURA for generously
   sharing their knowledge and experience. We thank Hector Sergio Cortina
   Villar from ECOSUR for fruitful discussions and Jose Alfredo Ramos Leal
   for valuable insights on geo-hydrological aspects of the reserve. EHS
   gratefully acknowledges the financial support from CONACYT (projects CB
   2015-251388B, PDCPN-2017/5036). NMT thanks her Catedra CONACYT ID Number
   6133 as part of the project 615.
CR Agrawal A, 1999, WORLD DEV, V27, P629, DOI 10.1016/S0305-750X(98)00161-2
   [Anonymous], 2019, Scopus
   [Anonymous], 1988, Estudio Integrado de los Recursos Vegetacion, Suelo y Agua en la Reserva de la Biosfera de Mapimi
   Chambers R., 1983, Rural development: putting the last first.
   Chapin F.S., 2009, PRINCIPLES ECOSYSTEM, DOI DOI 10.1007/978-0-387-73033-2_1
   Chauvet M., 2001, HIST AMBIENTAL GANAD, P227
   Conanp (Comisin Nacional de reas Naturales Protegidas), 2006, Programa de Conservacin y Manejo Reserva de la Biosfera Mapim
   Coppock DL, 2004, PASTORAL RISK MANAGE, P1921
   Cornwall A, 1995, SOC SCI MED, V41, P1667, DOI 10.1016/0277-9536(95)00127-S
   Davis DK, 2016, HIST SUSTAIN FUTUR, P1
   Delhoume JP, 1992, ACTAS DEL SEMINARIO, P396
   DICASTRI F, 1981, AMBIO, V10, P52
   Durand Leticia, 2014, Sociológica (Méx.), V29, P183
   Grunberger O, 2004, PLAYAS DESIERTO CHIH
   Guzman M, 2016, HIST MEDIO AMBIENTE, P205
   HALFFTER G, 1981, AMBIO, V10, P93
   Halffter G, 1978, RESERVAS LA BIOSFERA, V4, P17
   Kaus A, 1993, CULTURE AGR B, V45-46, P29
   Kaus A, 1992, THESIS U CALIFORNIA
   Lopez-Pardo JJ, 2019, THESIS I POTOSINO IN
   Mata-Paez RI, 2019, THESIS I POTOSINO IN
   Mata-Paez RI, 2018, INVESTIGACION PARTIC
   Montana C, 1988, Estudio integrado de los recursos de vegetacion, suelo y agua en la Reserva de La Biosfera de Mapimi
   Montana C, 1984, CONSERVATION SCI SOC, P520
   Moraine M, 2017, ECOL INDIC, V72, P340, DOI 10.1016/j.ecolind.2016.08.012
   Nigh R, 1989, PERFIL JORNADA, V16, P1
   Rzedowski J., 1975, Taxon, V24, P67, DOI 10.2307/1219002
   Rzedowski J., 1978, VEGETACION MEXICO
   Safriel U., 2005, Ecosystems and Human Well-being: Current State and Trends, P625
   SMN, 2009, DAT MENS EST CEB 000
   SMN, 2010, INF CLIM
   Stafford Smith DM, 2009, DRY TIMES, DOI DOI 10.1016/j.cosust.2016.12.005
   Stringer LC, 2006, ECOL SOC, V11
   Toledo V.M., 2005, Gaceta Ecologica, V77, P67
   Walker BH, 2009, ECOL SOC, V14
   Web of Science, 2019, WEB SCIENC
NR 36
TC 0
Z9 0
U1 0
U2 6
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 2352-0698
EI 2352-0701
BN 978-3-030-22464-6; 978-3-030-22463-9
J9 SPRINGER CLIMATE
PY 2020
BP 163
EP 178
DI 10.1007/978-3-030-22464-6_10
D2 10.1007/978-3-030-22464-6
PG 16
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH); Book Citation Index – Science (BKCI-S)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA BP6KW
UT WOS:000559915000012
DA 2025-01-10
ER

PT J
AU Takakura, J
   Fujimori, S
   Takahashi, K
   Hijioka, Y
   Honda, Y
AF Takakura, Jun'ya
   Fujimori, Shinichiro
   Takahashi, Kiyoshi
   Hijioka, Yasuaki
   Honda, Yasushi
TI Site-specific hourly resolution wet bulb globe temperature
   reconstruction from gridded daily resolution climate variables for
   planning climate change adaptation measures
SO INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
LA English
DT Article
DE WBGT; Heat stress; Diurnal variation; Statistical downscaling; Climate
   change
ID URBAN HEAT-ISLAND; SHIFT WORK; WBGT; PROJECTIONS; AUGUST; TOKYO; MODEL;
   OSAKA
AB Changes in the environmental heat stress need to be properly evaluated to manage the risk of heat-related illnesses, particularly in the context of climate change. The wet bulb globe temperature (WBGT) is a useful index for evaluating heat stress and anticipating conditions related to heat-related illness in the present climate, but projecting the WBGT with a sufficiently high temporal and spatial resolution remains challenging for future climate conditions. In this study, we developed a methodological framework for estimating the site-specific hourly resolution WBGT based on the output of general circulation models using only simple calculations. The method was applied to six sites in Japan and its performance was evaluated. The proposed method could reproduce the site-specific hourly resolution WBGT with a high accuracy. Based on the developed framework, we constructed future (2090s) projections under two different greenhouse gas emission pathways. These projections showed a consistent rise in the WBGT and thus the capacity to perform physically demanding activities is expected to decrease. To demonstrate the usefulness of the projected WBGT in planning adaptation measures, we identified the optimal working schedules which would minimize outdoor workers' exposure to heat at a specific site. The results show that a substantial shift in the working time is required in the future if outdoor workers are to compensate the effect of increased heat exposure only by changing their working hours. This methodological framework and the projections will provide local practitioners with useful information to manage the increased risk of heat stress under climate change.
C1 [Takakura, Jun'ya; Takahashi, Kiyoshi; Hijioka, Yasuaki] Natl Inst Environm Studies, 16-2 Onogawa, Tsukuba, Ibaraki 3058506, Japan.
   [Fujimori, Shinichiro] Kyoto Univ, Nishikyo Ku, 361,C1-3,Kyoto Univ Katsura Campus, Kyoto 6158540, Japan.
   [Honda, Yasushi] Univ Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 3058577, Japan.
C3 National Institute for Environmental Studies - Japan; Kyoto University;
   University of Tsukuba
RP Takakura, J (corresponding author), Natl Inst Environm Studies, 16-2 Onogawa, Tsukuba, Ibaraki 3058506, Japan.
EM takakura.junya@nies.go.jp
RI Hijioka, Yasuaki/AAQ-7586-2020; Fujimori, Shinichiro/A-1288-2015;
   TAKAHASHI, KIYOSHI/AFN-9175-2022
OI TAKAHASHI, KIYOSHI/0000-0002-0163-545X
FU Environment Research and Technology Development Fund of the
   Environmental Restoration and Conservation Agency [S-14]
FX This research was supported by the Environment Research and Technology
   Development Fund (S-14) of the Environmental Restoration and
   Conservation Agency.
CR Asayama M, 2009, GLOBAL ENV RES, V13, P19
   Budd GM, 2008, J SCI MED SPORT, V11, P20, DOI 10.1016/j.jsams.2007.07.003
   Dunne JP, 2013, NAT CLIM CHANGE, V3, P563, DOI 10.1038/NCLIMATE1827
   Fan RE, 2008, J MACH LEARN RES, V9, P1871
   Folkard S, 2003, OCCUP MED-OXFORD, V53, P95, DOI 10.1093/occmed/kqg047
   Gandaseca S, 1997, J FOR RES, V2, P21, DOI [10.1007/BF02348258, DOI 10.1007/BF02348258]
   Harada Y, 2016, J METEOROL SOC JPN, V94, P269, DOI 10.2151/jmsj.2016-015
   Haus EL, 2013, SLEEP MED REV, V17, P273, DOI 10.1016/j.smrv.2012.08.003
   Hempel S, 2013, EARTH SYST DYNAM, V4, P219, DOI 10.5194/esd-4-219-2013
   Hida A, 2014, SCI REP-UK, V4, DOI 10.1038/srep06309
   Iizumi T, 2017, J GEOPHYS RES-ATMOS, V122, P7800, DOI 10.1002/2017JD026613
   ISO I.S.O., 2017, 72432017 ISO
   JIS, 1999, Z85041999 JIS
   Kenny GP, 2011, J OCCUP ENVIRON HYG, V8, P484, DOI 10.1080/15459624.2011.596043
   Kim YH, 2005, J APPL METEOROL, V44, P591, DOI 10.1175/JAM2226.1
   Kjellstrom T, 2018, INT J BIOMETEOROL, V62, P291, DOI 10.1007/s00484-017-1407-0
   Kjellstrom T, 2009, ARCH ENVIRON OCCUP H, V64, P217, DOI 10.1080/19338240903352776
   Kobayashi S, 2015, J METEOROL SOC JPN, V93, P5, DOI 10.2151/jmsj.2015-001
   Kusaka H, 2016, CLIMATIC CHANGE, V137, P427, DOI 10.1007/s10584-016-1693-2
   Kusaka H, 2012, J METEOROL SOC JPN, V90B, P47, DOI 10.2151/jmsj.2012-B04
   Lemke B, 2012, IND HEALTH, V50, P267, DOI 10.2486/indhealth.MS1352
   Miao SG, 2009, J APPL METEOROL CLIM, V48, P484, DOI 10.1175/2008JAMC1909.1
   Mimura N, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P869
   Naito T, 2017, J PHYSIOL ANTHROPOL, V36, DOI 10.1186/s40101-016-0122-6
   Ono M., 2014, JPN J BIOMETEOROL, V50, P147
   Smith KR, 2016, LANCET, V388, P642, DOI 10.1016/S0140-6736(16)31335-6
   Suzuki-Parker A, 2016, INT J BIOMETEOROL, V60, P307, DOI 10.1007/s00484-015-1001-2
   Takakura J, 2018, EARTHS FUTURE, V6, P1588, DOI 10.1029/2018EF000883
   Takakura J, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa72cc
   Takane Y, 2017, INT J CLIMATOL, V37, P1035, DOI 10.1002/joc.5056
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P5, DOI [10.1007/s10584-011-0148-z, 10.1007/s10584-011-0157-y]
   Wenz L, 2016, SCI ADV, V2, DOI 10.1126/sciadv.1501026
   Wittmann M, 2006, CHRONOBIOL INT, V23, P497, DOI 10.1080/07420520500545979
   YAGLOU C P, 1957, AMA Arch Ind Health, V16, P302
   YI W, 2015, ASCE, V29, DOI DOI 10.1061/(ASCE)CP.1943-5487.0000419
NR 36
TC 8
Z9 8
U1 0
U2 16
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0020-7128
EI 1432-1254
J9 INT J BIOMETEOROL
JI Int. J. Biometeorol.
PD JUN
PY 2019
VL 63
IS 6
BP 787
EP 800
DI 10.1007/s00484-019-01692-3
PG 14
WC Biophysics; Environmental Sciences; Meteorology & Atmospheric Sciences;
   Physiology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biophysics; Environmental Sciences & Ecology; Meteorology & Atmospheric
   Sciences; Physiology
GA HX7IJ
UT WOS:000467578000007
PM 30798364
OA Bronze
DA 2025-01-10
ER

PT J
AU Monberg, RJ
   Howe, AG
   Ravn, HP
   Jensen, MB
AF Monberg, Rikke Juul
   Howe, Andy G.
   Ravn, Hans Peter
   Jensen, Marina Bergen
TI Exploring structural habitat heterogeneity in sustainable urban drainage
   systems (SUDS) for urban biodiversity support
SO URBAN ECOSYSTEMS
LA English
DT Article
DE Structural diversity; Urban ecology; Urban drainage; Bio-SUDS index;
   Climate change adaptation
ID SPECIES RICHNESS; ECOLOGY; CITIES; INFRASTRUCTURE; CONSERVATION;
   RESTORATION; VARIABILITY; SPACE; PONDS
AB Implementation of sustainable urban drainage systems (SUDS) as part of cities' transition towards climate resilience encompasses unique opportunities to enhance urban nature qualities. SUDS include individual elements integrated in the urban landscape, e.g. rain gardens or wet basins, which are usually constructed with low structural heterogeneity. Structural heterogeneity of habitats is, however, associated with a high degree of biodiversity. This study explored potentials of habitat heterogeneity enhancement in SUDS using structural heterogeneity as a proxy for biodiversity potential. In an interdisciplinary workshop, landscape architects and urban ecologists designed individual SUDS elements with enhanced structural habitat heterogeneity, hereafter bio-SUDS. The redesigned SUDS elements were infiltration trench, curb extension, rain garden, swale, wet basin, and dry basin. To evaluate the bio-SUDS designs, we developed an index of habitat heterogeneity in SUDS based on registration of 45 structurally important components. The conversion from standard SUDS to bio-SUDS entailed substantial increases in structural heterogeneity ranging from 4 to 18 additional components within elements. Larger bio-SUDS elements returned higher index scores, but the relative score increases were substantial for all bio-SUDS and in the range of a factor of 2-5.5. Increased terrain differences, meandering edges, stones, gravel, boulders, deadwood, and brown roof-like vegetation were the components most often employed in the bio-SUDS designs. In conclusion, implementation of bio-SUDS has potential to increase structural habitat heterogeneity thereby providing habitat for biodiversity in urban green areas. The developed bio-SUDS index can assist in future assessments of ecological qualities in designs and real-world SUDS elements.
C1 [Monberg, Rikke Juul; Howe, Andy G.; Ravn, Hans Peter; Jensen, Marina Bergen] Univ Copenhagen, Dept Geosci & Nat Resource Management, Rolighedsvej 23, DK-1958 Frederiksberg C, Denmark.
C3 University of Copenhagen
RP Monberg, RJ (corresponding author), Univ Copenhagen, Dept Geosci & Nat Resource Management, Rolighedsvej 23, DK-1958 Frederiksberg C, Denmark.
EM rikkejmonberg@gmail.com
RI Jensen, Marina/H-4135-2011; Howe, Andy/JQX-3242-2023; Jensen, Marina
   Bergen/C-9841-2015; Howe, Andrew/A-8259-2015
OI Jensen, Marina Bergen/0000-0003-0202-0366; Howe,
   Andrew/0000-0002-7460-5227
FU University of Copenhagen; Danish Agency for Science, Technology and
   Innovation; Danish Council for Technology and Innovation [10-093317]
FX Thanks to landscape architect Henrik Dixen Dausell, GHB Landscape
   Architects, for help on workshop planning and to Antje Backhaus for
   original sketches of standard SUDS. Special thanks also to two anonymous
   reviewers and to the handling editor for excellent suggestions for
   improvements. RJM was funded by PhD grants from University of
   Copenhagen, The Danish Agency for Science, Technology and Innovation
   (per 22.02.2010) and The Danish Council for Technology and Innovation
   (10-093317).
CR [Anonymous], 2010, URBAN BIODIVERSITY D, DOI DOI 10.1002/9781444318654.CH2
   Aronson MFJ, 2017, FRONT ECOL ENVIRON, V15, P189, DOI 10.1002/fee.1480
   Ballard B, 2015, THE SUDS MANUAL, P17
   Bazzanti M, 2003, J FRESHWATER ECOL, V18, P537, DOI 10.1080/02705060.2003.9663994
   Beninde J, 2015, ECOL LETT, V18, P581, DOI 10.1111/ele.12427
   Bonthoux S, 2014, LANDSCAPE URBAN PLAN, V132, P79, DOI 10.1016/j.landurbplan.2014.08.010
   Brand AB, 2010, CONSERV BIOL, V24, P295, DOI 10.1111/j.1523-1739.2009.01301.x
   Brenneisen Stephan, 2006, Urban Habitats, V4, P27
   Brown BL, 2003, ECOL LETT, V6, P316, DOI 10.1046/j.1461-0248.2003.00431.x
   Chester ET, 2013, BIOL CONSERV, V166, P64, DOI 10.1016/j.biocon.2013.06.016
   CHOVANEV A, 1994, LANDSCAPE URBAN PLAN, V29, P43, DOI 10.1016/0169-2046(93)00015-H
   Dearborn DC, 2010, CONSERV BIOL, V24, P432, DOI 10.1111/j.1523-1739.2009.01328.x
   Eyre MD, 2003, J INSECT CONSERV, V7, P223, DOI 10.1023/B:JICO.0000021020.66549.1e
   Farinha-Marques P, 2011, INNOVATION-ABINGDON, V24, P247, DOI 10.1080/13511610.2011.592062
   Felson AJ, 2013, BIOSCIENCE, V63, P854, DOI 10.1525/bio.2013.63.11.4
   Felson AJ, 2013, BIOSCIENCE, V63, P882, DOI 10.1525/bio.2013.63.11.7
   Fletcher TD, 2015, URBAN WATER J, V12, P525, DOI 10.1080/1573062X.2014.916314
   Goertzen D, 2013, J INSECT CONSERV, V17, P399, DOI 10.1007/s10841-012-9522-z
   Goldsbrough CL, 2003, BIOL CONSERV, V109, P85, DOI 10.1016/S0006-3207(02)00139-8
   Grahn Patrik, 2003, Urban Forestry & Urban Greening, V2, P001, DOI 10.1078/1618-8667-00019
   Halliday BT, 2015, ECOL ENG, V84, P136, DOI 10.1016/j.ecoleng.2015.07.020
   Hamer AJ, 2011, ECOL APPL, V21, P378, DOI 10.1890/10-0390.1
   Hammer M, 1996, FLERBRUK UTJAMNINGSM
   Hermy M, 2000, LANDSCAPE URBAN PLAN, V49, P149, DOI 10.1016/S0169-2046(00)00061-X
   Hunter MR, 2008, INSECT CONSERV DIVER, V1, P189, DOI 10.1111/j.1752-4598.2008.00024.x
   Ishimatsu K, 2013, LANDSC ECOL ENG, V9, P299, DOI 10.1007/s11355-011-0186-8
   Ives CD, 2016, GLOBAL ECOL BIOGEOGR, V25, P117, DOI 10.1111/geb.12404
   Kadas Gyongyver, 2006, Urban Habitats, V4, P66
   Kajihara K, 2016, URBAN ECOSYST, V19, P523, DOI 10.1007/s11252-015-0499-8
   Kazemi F, 2011, LANDSCAPE URBAN PLAN, V101, P139, DOI 10.1016/j.landurbplan.2011.02.006
   Kazemi F, 2009, ECOL ENG, V35, P1454, DOI 10.1016/j.ecoleng.2009.06.003
   Kazemi F, 2009, LANDSCAPE URBAN PLAN, V92, P304, DOI 10.1016/j.landurbplan.2009.05.014
   Kirby P, 2013, HABITAT MANAGEMENT I, P93
   Klaus VH, 2013, RESTOR ECOL, V21, P665, DOI 10.1111/rec.12051
   Kovac H, 2011, ECOL ENTOMOL, V36, P686, DOI 10.1111/j.1365-2311.2011.01313.x
   Lafond M., 2008, AQUATIC HABITATS INT, P9
   LaPoint S, 2015, FUNCT ECOL, V29, P868, DOI 10.1111/1365-2435.12489
   Lepczyk CA, 2017, BIOSCIENCE, V67, P799, DOI 10.1093/biosci/bix079
   Loke LHL, 2015, ECOL ENG, V77, P307, DOI 10.1016/j.ecoleng.2015.01.037
   MAC ARTHUR ROBERT H., 1967
   Mackintosh TJ, 2015, SCI TOTAL ENVIRON, V536, P527, DOI 10.1016/j.scitotenv.2015.07.066
   Mitchell SC, 2005, OIKOS, V110, P634, DOI 10.1111/j.0030-1299.2005.13810.x
   Moore T, 2012, ECOL ENG, V45, P70, DOI 10.1016/j.ecoleng.2011.03.021
   Nielsen AB, 2014, URBAN ECOSYST, V17, P305, DOI 10.1007/s11252-013-0316-1
   Prugh LR, 2008, P NATL ACAD SCI USA, V105, P20770, DOI 10.1073/pnas.0806080105
   Qiu L, 2010, URBAN FOR URBAN GREE, V9, P161, DOI 10.1016/j.ufug.2010.01.003
   Rosenzweig M.L., 1995, Species diversity in space and time. Pages, P151
   Rosenzweig Michael L., 1995, DOI 10.1017/CBO9780511623387.002
   Rosenzweig ML, 2003, ORYX, V37, P194, DOI 10.1017/S0030605303000371
   Rune F, 2004, UDVIKLING AF BYNATUR
   Rupprecht CDD, 2014, URBAN FOR URBAN GREE, V13, P597, DOI 10.1016/j.ufug.2014.09.002
   Somme L, 2016, URBAN ECOSYST, V19, P1149, DOI 10.1007/s11252-016-0555-z
   Stein A, 2014, ECOL LETT, V17, P866, DOI 10.1111/ele.12277
   Tews J, 2004, J BIOGEOGR, V31, P79, DOI 10.1046/j.0305-0270.2003.00994.x
   Ulyshen MD, 2011, FOREST ECOL MANAG, V261, P1479, DOI 10.1016/j.foreco.2011.01.033
   Williams P, 2008, HYDROBIOLOGIA, V597, P137, DOI 10.1007/s10750-007-9224-9
   Wium-Andersen T, 2011, WATER SCI TECHNOL, V64, P503, DOI 10.2166/wst.2011.075
NR 57
TC 15
Z9 17
U1 4
U2 93
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1083-8155
EI 1573-1642
J9 URBAN ECOSYST
JI Urban Ecosyst.
PD DEC
PY 2018
VL 21
IS 6
BP 1159
EP 1170
DI 10.1007/s11252-018-0790-6
PG 12
WC Biodiversity Conservation; Ecology; Environmental Sciences; Urban
   Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Biodiversity & Conservation; Environmental Sciences & Ecology; Urban
   Studies
GA HD2ZX
UT WOS:000452382200013
DA 2025-01-10
ER

PT J
AU Wernersson, J
AF Wernersson, Julia
TI Rethinking identity in adaptation research: Performativity and livestock
   keeping practices in the Kenyan drylands
SO WORLD DEVELOPMENT
LA English
DT Article; Proceedings Paper
CT 4th International Conference of the
   Initiative-on-Climate-Adaptation-Research-and-Understanding-through-the-
   Social-Sciences (ICARUS)
CY 2015
CL Urbana, IL
SP Initiat Climate Adaptat Res & Understanding Social Sci
DE Category; Agency; Pastoralism; Practice; Africa; Kenya
ID CLIMATE-CHANGE ADAPTATION; RISK-MANAGEMENT; PASTORALISTS; GENDER;
   SUSTAINABILITY; IMPACTS; INSTITUTIONS; DEGRADATION; STRATEGIES;
   RANGELAND
AB Adaptation research often uses identity categories. This article argues that a performativity approach allows us to understand identity in ways that are important for adaptation. Performativity sees identity as constructed through practices in an ongoing process of negotiation and renegotiation. Individuals and groups can thus be understood as having the agency to redefine identity by changing their everyday practices; changed practices, in turn, can influence the construction of identity.
   Drawing on ethnographic fieldwork conducted with pastoral and agro-pastoral livestock keepers in West Pokot County, Kenya, the article focuses on one set of identity-linked and adaptation-relevant practices: those involved in ensuring that livestock receive water regularly. Practices of livestock keeping reveal how identity is both implicated by and constructs the social context - between and within individuals, families, and communities, but also in relation to livestock and wider biophysical phenomena. By focusing on the changing practices of livestock watering within a changing social and biophysical context, it is possible to extract not only normative practices, but also a number of practices that disturb settled patterns, contesting or resisting identity constructs. This agency to change practices and identity has important implications for adaptation, which also requires changes in practice and behaviour. As this diversity and fluidity of identity as constructed and practised in the present emerges, so do the different ideas of what it can and will mean to be a livestock keeper in relation to the contextual challenges of today and the future. (C) 2018 Elsevier Ltd. All rights reserved.
C1 [Wernersson, Julia] Univ Copenhagen, Frederiksberg, Denmark.
   [Wernersson, Julia] Int Livestock Res Inst, Nairobi, Kenya.
C3 University of Copenhagen; CGIAR; International Livestock Research
   Institute (ILRI)
RP Wernersson, J (corresponding author), Univ Copenhagen, IFRO, Rolighedsvej 25, Frederiksberg, Denmark.
EM jevw@ifro.ku.dk
FU University of Copenhagen, Department of Food and Resource Economics;
   Swedish International Development Cooperation Agency; Swedish University
   of Agricultural Sciences Triple L
FX This work was supported by the University of Copenhagen, Department of
   Food and Resource Economics; a Minor Field Studies stipend from the
   Swedish International Development Cooperation Agency; and the Swedish
   University of Agricultural Sciences Triple L research initiative
   together with the NGO We Effect. I would like to acknowledge and thank
   the many people who contributed to the data collection and those who
   supported the process of writing this article. Thank you to Arun Agrawal
   and Maria Lemos for generously supporting a write shop following the 4th
   international conference Initiative on Climate Adaptation Research and
   Understanding through the Social Sciences (ICARUS). Thank you to the
   fellow researchers participating in that write shop for their thoughtful
   comments: Claudia Radel, Paul McCord, Morey Burnham, Zhao Ma, and Laura
   Vang Rasmussen. Thank you to my PhD supervisors Iben Nathan, Todd Crane,
   Martin Skrydstrup and Lance Robinson as well as the anonymous reviewers
   of World Development for their thorough and useful comments. For reading
   early drafts, thank you to Catherine Jensen, Kenneth Uggeldahl and Ninja
   Ritter Klejnstrup. Finally, a special thank you to Frida Edvall for
   designing and producing the map of West Pokot.
CR Adger WN, 2013, NAT CLIM CHANGE, V3, P112, DOI [10.1038/NCLIMATE1666, 10.1038/nclimate1666]
   Adger WN, 2011, GLOBAL ENVIRON POLIT, V11, P1, DOI 10.1162/GLEP_a_00051
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Agrawal A, 2005, CURR ANTHROPOL, V46, P161, DOI 10.1086/427122
   Agrawal A, 2015, NAT CLIM CHANGE, V5, P185, DOI 10.1038/nclimate2501
   Allen A, 2002, INT J PHILOS STUD, V10, P131, DOI 10.1080/09672550210121432
   Anderson D., 1999, POOR ARE NOT US POVE
   [Anonymous], CRISIS SURVIVAL STRA
   [Anonymous], UNRELENTING PERSISTE
   [Anonymous], 2002, CUNNING RECOGNITION
   [Anonymous], WE EAT TREES TREE PL
   [Anonymous], MARKETS MEAT MAIZE M
   [Anonymous], AFRICA
   [Anonymous], 2015, BENEFITS DERIVED REH
   [Anonymous], BASCOM HERSKOVITS
   [Anonymous], FIELDING CLIMATE CHA
   [Anonymous], VIOLENCE BELONGING Q
   [Anonymous], COUNTY LIVESTOCK DEV
   [Anonymous], NETHERLANDS GEOGRAPH
   [Anonymous], CLIMATE DEV
   [Anonymous], 1969, ETHNIC GROUPS BOUND
   [Anonymous], DROUGHT EARL WARN B
   [Anonymous], COUNT GOV W POK PREP
   Appiah K.A., 2010, ETHICS IDENTITY
   Arora-Jonsson S, 2011, GLOBAL ENVIRON CHANG, V21, P744, DOI 10.1016/j.gloenvcha.2011.01.005
   Ayantunde AA, 2011, LIVEST SCI, V139, P30, DOI 10.1016/j.livsci.2011.03.019
   Barad K, 2003, SIGNS, V28, P801, DOI 10.1086/345321
   Behnke R., 1994, Development Policy Review, V12, P5, DOI 10.1111/j.1467-7679.1994.tb00053.x
   Benjaminsen TA, 2006, ANN ASSOC AM GEOGR, V96, P524, DOI 10.1111/j.1467-8306.2006.00704.x
   Berman Bruce., 1992, UNHAPPY VALLEY
   Berman Bruce., 1992, Control and Crisis in Colonial Kenya: The Dialectic of Domination
   Bollig Michael., 2013, Pastoralism in Africa: Past, Present and Future
   Butler J., 1999, GENDER TROUBLE 10 AN
   Butler J., 2015, Senses of the Subject
   Butler J. P., 1993, BODIES MATTER, DOI DOI 10.4324/9780203828274
   Carr ER, 2014, GEOGR COMPASS, V8, P182, DOI 10.1111/gec3.12121
   Catley A., 2013, Pastoralism and development in Africa: Dynamic change at the margins
   Cleaver F, 2013, AFR STUD REV, V56, P165, DOI 10.1017/asr.2013.84
   Crane TA, 2010, ECOL SOC, V15
   Crenshaw Kimberle., 1991, Mapping the Margins: Intersectionality, Identity Politics, and Violence Against Women of Color, DOI [10.2307/1229039, DOI 10.2307/1229039]
   D'Odorico P, 2013, ADV WATER RESOUR, V51, P326, DOI 10.1016/j.advwatres.2012.01.013
   Eriksen SH, 2015, GLOBAL ENVIRON CHANG, V35, P523, DOI 10.1016/j.gloenvcha.2015.09.014
   Evans-Pritchard EE, 1940, AFRICA, V13, P250, DOI 10.2307/1156096
   Fisher M, 2015, GLOBAL ENVIRON CHANG, V35, P82, DOI 10.1016/j.gloenvcha.2015.08.009
   Flintan F., 2013, NATURAL RESOURCE MAN
   Foucault Michel., 1984, The Foucault Reader, P340
   Frank E, 2011, GLOBAL ENVIRON CHANG, V21, P66, DOI 10.1016/j.gloenvcha.2010.11.001
   Galvin KA, 2009, ANNU REV ANTHROPOL, V38, P185, DOI 10.1146/annurev-anthro-091908-164442
   Gregson N, 2000, ENVIRON PLANN D, V18, P433, DOI 10.1068/d232
   Harmer N, 2014, GEOGR COMPASS, V8, P808, DOI 10.1111/gec3.12180
   Herrero M, 2016, REV SCI TECH OIE, V35, P417, DOI 10.20506/rst.35.2.2533
   Hodgson DL, 1999, E AFR STUD SER, P221
   Homann S, 2008, HUM ECOL, V36, P503, DOI 10.1007/s10745-008-9180-7
   Hutchinson SharonE., 1996, Nuer Dilemmas: Coping with Money, War, and the State
   JENKINS R, 1994, ETHNIC RACIAL STUD, V17, P197, DOI 10.1080/01419870.1994.9993821
   Jenkins Richard, 2008, RETHINKING ETHNICITY
   Kaijser A, 2014, ENVIRON POLIT, V23, P417, DOI 10.1080/09644016.2013.835203
   Little PD, 2001, DEV CHANGE, V32, P401, DOI 10.1111/1467-7660.00211
   Marshall NA, 2014, ECOL SOC, V19, DOI [10.5751/ES-06440-19021, 10.5751/ES-06440-190214]
   McPeak JG, 2001, AM J AGR ECON, V83, P674, DOI 10.1111/0002-9092.00189
   Mogaka H., 2006, Climate variability and water resources degradation in Kenya: improving water resources development and management, V69
   Mudimbe V.Y., 1988, The Invention of Africa: Prognosis, Philosophy and the Order of Knowledge
   Mwang'ombe A. W., 2011, Journal of Environmental Science and Technology, V4, P403
   Næss MW, 2013, INT J SUST DEV WORLD, V20, P123, DOI 10.1080/13504509.2013.779615
   Nardone A, 2010, LIVEST SCI, V130, P57, DOI 10.1016/j.livsci.2010.02.011
   Nielsen JO, 2010, GLOBAL ENVIRON CHANG, V20, P142, DOI 10.1016/j.gloenvcha.2009.10.002
   Nightingale AJ, 2011, GEOFORUM, V42, P153, DOI 10.1016/j.geoforum.2010.03.004
   Nyberg G, 2015, PASTORALISM, V5, DOI 10.1186/s13570-015-0044-7
   O'Brien KL, 2000, GLOBAL ENVIRON CHANG, V10, P221, DOI 10.1016/S0959-3780(00)00021-2
   Oba G, 2013, PATHWAY SUSTAIN, P29
   Opiyo Francis E. O., 2011, Journal of Human Ecology, V35, P43
   Osbahr H, 2008, GEOFORUM, V39, P1951, DOI 10.1016/j.geoforum.2008.07.010
   [Pachauri RK. IPCC IPCC], 2014, Climate Change 2014: Synthesis Report. Contribution of Working Groups I, P117
   Pearson AL, 2016, INT J ENV RES PUB HE, V13, DOI 10.3390/ijerph13020169
   Peden D, 2009, RANGELAND J, V31, P187, DOI 10.1071/RJ09002
   Povinelli ElizabethA., 2011, Economies of Abandonment
   Pricope NG, 2013, GLOBAL ENVIRON CHANG, V23, P1525, DOI 10.1016/j.gloenvcha.2013.10.002
   Raikes PhilipLawrence., 1981, Livestock Development and Policy in East Africa
   Said EdwardW., 2019, Orientalism
   Scheyvens R.Storey., 2014, DEV FIELDWORK PRACTI, V2nd
   Schlee G., 2012, Pastoralism politics in northern Kenya southern Ethiopia, DOI DOI 10.1515/9781782042150
   SCHNEIDER HK, 1957, AM ANTHROPOL, V59, P278, DOI 10.1525/aa.1957.59.2.02a00080
   Scoones Ian., 2013, PASTORALISM DEV AFRI
   Shove E, 2010, ENVIRON PLANN A, V42, P1273, DOI 10.1068/a42282
   Smith K, 2001, J DEV STUD, V37, P1, DOI 10.1080/00220380412331322101
   Solomon TB, 2007, J ENVIRON MANAGE, V82, P481, DOI 10.1016/j.jenvman.2006.01.008
   Takahashi K, 2016, WORLD DEV, V78, P324, DOI 10.1016/j.worlddev.2015.10.039
   Taylor PL, 2017, SOC NATUR RESOUR, V30, P395, DOI 10.1080/08941920.2017.1274208
   Thompson-Hall M, 2016, AMBIO, V45, pS373, DOI 10.1007/s13280-016-0827-0
   Thornton PK, 2009, AGR SYST, V101, P113, DOI 10.1016/j.agsy.2009.05.002
   Van Aelst K, 2016, WORLD DEV, V79, P40, DOI 10.1016/j.worlddev.2015.11.003
   Wangui EE, 2018, CLIM DEV, V10, P369, DOI 10.1080/17565529.2017.1301867
   Wangui EE, 2014, ANN ASSOC AM GEOGR, V104, P1068, DOI 10.1080/00045608.2014.924734
   Weir Allison., 2014, Sacrificial Logics: Feminist Theory and the Critique of Identity
   Zampaligré N, 2014, REG ENVIRON CHANGE, V14, P769, DOI 10.1007/s10113-013-0532-5
NR 95
TC 12
Z9 12
U1 2
U2 22
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0305-750X
EI 1873-5991
J9 WORLD DEV
JI World Dev.
PD AUG
PY 2018
VL 108
BP 283
EP 295
DI 10.1016/j.worlddev.2018.02.010
PG 13
WC Development Studies; Economics
WE Social Science Citation Index (SSCI); Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Development Studies; Business & Economics
GA GH3AH
UT WOS:000433272600023
DA 2025-01-10
ER

PT J
AU Chen, MJ
   Wichmann, B
   Luckert, M
   Winowiecki, L
   Förch, W
   Läderach, P
AF Chen, Minjie
   Wichmann, Bruno
   Luckert, Marty
   Winowiecki, Leigh
   Forch, Wiebke
   Laderach, Peter
TI Diversification and intensification of agricultural adaptation from
   global to local scales
SO PLOS ONE
LA English
DT Article
ID CLIMATE-CHANGE; MARKET; FOOD; DETERMINANTS; VARIABILITY; CAPACITY;
   ADOPTION; MODELS; YIELD
AB Smallholder farming systems are vulnerable to a number of challenges, including continued population growth, urbanization, income disparities, land degradation, decreasing farm size and productivity, all of which are compounded by uncertainty of climatic patterns. Understanding determinants of smallholder farming practices is critical for designing and implementing successful interventions, including climate change adaptation programs. We examine two dimensions wherein smallholder farmers may adapt agricultural practices; through intensification (i.e., adopt more practices) or diversification (i.e. adopt different practices). We use data on 5314 randomly sampled households located in 38 sites in 15 countries across four regions (East and West Africa, South Asia, and Central America). We estimate empirical models designed to assess determinants of both intensification and diversification of adaptation activities at global scales. Aspects of adaptive capacity that are found to increase intensification of adaptation globally include variables associated with access to information and human capital, financial considerations, assets, household infrastructure and experience. In contrast, there are few global drivers of adaptive diversification, with a notable exception being access to weather information, which also increases adaptive intensification. Investigating reasons for adaptation indicate that conditions present in underdeveloped markets provide the primary impetus for adaptation, even in the context of climate change. We also compare determinants across spatial scales, which reveals a variety of local avenues through which policy interventions can relax economic constraints and boost agricultural adaptation for both intensification and diversification. For example, access to weather information does not affect intensification adaptation in Africa, but is significant at several sites in Bangladesh and India. Moreover, this information leads to diversification of adaptive activities on some sites in South Asia and Central America, but increases specialization in West and East Africa.
C1 [Chen, Minjie; Wichmann, Bruno; Luckert, Marty] Univ Alberta, Fac Agr Life & Environm Sci, Edmonton, AB, Canada.
   [Winowiecki, Leigh] World Agroforestry Ctr ICRAF, Nairobi, Kenya.
   [Forch, Wiebke] GIZ, Gaborone, Botswana.
   [Laderach, Peter] Int Ctr Trop Agr CIAT, Decis & Policy Anal DAPA, Hanoi, Vietnam.
C3 University of Alberta; CGIAR; World Agroforestry (ICRAF); Alliance;
   International Center for Tropical Agriculture - CIAT
RP Läderach, P (corresponding author), Int Ctr Trop Agr CIAT, Decis & Policy Anal DAPA, Hanoi, Vietnam.
EM p.laderach@cgiar.org
OI Chen, Minjie/0000-0002-0794-8561; Wichmann, Bruno/0000-0003-1104-0035;
   Laderach, Peter/0000-0001-8708-6318
FU CGIAR Fund
FX This work was implemented as part of the CGIAR Research Program on
   Climate Change, Agriculture and Food Security (CCAFS), which is carried
   out with support from CGIAR Fund Donors and through bilateral funding
   agreements. For details please visit https://ccafs.cgiar.org/donors.
CR Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   African Union (AU) New Partnership for Africa's Development (NEPAD), 2003, COMPR AFR AGR DEV PR
   [Anonymous], 2013, CORE SITES CCAFS REG
   Awotide B.A., 2016, AGR FOOD EC, V4, P3, DOI [DOI 10.1186/S40100-016-0047-8, 10.1186/s40100-016-0047-8]
   Bahinipati CS, 2015, WATER POLICY, V17, P742, DOI 10.2166/wp.2014.121
   Barrett C. B., 2005, Quarterly Journal of International Agriculture, V44, P37
   Barrett C.B., 2000, ASSET ACTIVITY INCOM
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   Beutel RG, 2014, INSECT MORPHOLOGY AND PHYLOGENY: A TEXTBOOK FOR STUDENTS OF ENTOMOLOGY, P117
   Cameron A.C., 1986, Journal of Applied Econometrics, V1, P29, DOI [10.1002/jae.3950010104, DOI 10.1002/JAE.3950010104]
   Center for Climate and Energy Solutions (C2ES), OUTC UN CLIM CHANG C
   Challinor AJ, 2014, NAT CLIM CHANGE, V4, P287, DOI [10.1038/nclimate2153, 10.1038/NCLIMATE2153]
   COMMENT R, 1995, J FINANC ECON, V37, P67, DOI 10.1016/0304-405X(94)00777-X
   COWLING K, 1976, ECONOMICA, V43, P267, DOI 10.2307/2553125
   Culas R.J., 2005, CAUSES DIVERSIFICATI
   Deressa T. T., 2009, Global Environmental Change, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Di Falco S, 2014, EUR REV AGRIC ECON, V41, P405, DOI 10.1093/erae/jbu014
   Di Falco S, 2014, J AGR ECON, V65, P485, DOI 10.1111/1477-9552.12053
   Di Falco S, 2013, LAND ECON, V89, P743, DOI 10.3368/le.89.4.743
   Dyer GA, 2006, AM J AGR ECON, V88, P279, DOI 10.1111/j.1467-8276.2006.00858.x
   Dyer GA, 2011, WORLD DEV, V39, P1878, DOI 10.1016/j.worlddev.2011.04.032
   Ellis F., 2000, RURAL LIVELIHOODS DI, DOI DOI 10.1093/OSO/9780198296959.001.0001
   Elobeid A, 2008, AM J AGR ECON, V90, P918, DOI 10.1111/j.1467-8276.2008.01158.x
   FEDER G, 1985, ECON DEV CULT CHANGE, V33, P255, DOI 10.1086/451461
   Finger R, 2008, AGRIC FINANCE REV, V68, P25, DOI 10.1108/00214660880001217
   Forch W., 2014, Agric Food Secur, V31, P1, DOI DOI 10.1186/2048-7010-3-13
   Garlick C., 2015, **DATA OBJECT**, DOI 10.7910/DVN/PWVLTU
   Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383
   Greene W., 2008, Econometric analysis
   HAUSMAN J, 1984, ECONOMETRICA, V52, P909, DOI 10.2307/1911191
   Hinkel J, 2011, GLOBAL ENVIRON CHANG, V21, P198, DOI 10.1016/j.gloenvcha.2010.08.002
   Hisali E, 2011, GLOBAL ENVIRON CHANG, V21, P1245, DOI 10.1016/j.gloenvcha.2011.07.005
   Imbs J, 2003, AM ECON REV, V93, P63, DOI 10.1257/000282803321455160
   Jost C, 2016, CLIM DEV, V8, P133, DOI 10.1080/17565529.2015.1050978
   Khan ZR, 2014, PHILOS T R SOC B, V369, DOI 10.1098/rstb.2012.0284
   Kolade O., 2014, Development Studies Research, V1, P340, DOI 10.1080/21665095.2014.978981
   Kristjanson P., 2014, CCAFS Working Paper No. 56
   Kristjanson P., 2010, CCAFS BASELINE HOUSE
   Kristjanson P., 2011, Global summary of baseline household survey results
   Kristjanson P, 2012, FOOD SECUR, V4, P381, DOI 10.1007/s12571-012-0194-z
   LANG LHP, 1994, J POLIT ECON, V102, P1248, DOI 10.1086/261970
   Lim K. H., 2015, P SIGMOD 15 PHD S, P33, DOI [10.1145/2744680.2744693, DOI 10.1145/2744680.2744693]
   Maddison DavidJ., 2007, PERCEPTION ADAPTATIO, DOI 10.1596/1813-9450-4308
   McCune B., 2002, Analysis of ecological communities, P28
   MENDELSOHN R, 1994, AM ECON REV, V84, P753
   Mendelsohn R, 2012, CLIM CHANG ECON, V3, DOI 10.1142/S2010007812500066
   Moser CM, 2003, AGR SYST, V76, P1085, DOI 10.1016/S0308-521X(02)00041-0
   Ngwenya K, 2015, THESIS
   Nhemachena C., 2007, INT FOOD POLICY RES
   Niang I, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1199
   POPE RD, 1980, AM J AGR ECON, V62, P554, DOI 10.2307/1240214
   Putsis WP, 1997, REV IND ORGAN, V12, P355
   Roco L, 2014, ENVIRON SCI POLICY, V44, P86, DOI 10.1016/j.envsci.2014.07.008
   Satterthwaite D, 2010, PHILOS T R SOC B, V365, P2809, DOI 10.1098/rstb.2010.0136
   SHAPIRO D, 1987, INT J IND ORGAN, V5, P15, DOI 10.1016/0167-7187(87)90003-8
   Simar L, 2007, J ECONOMETRICS, V136, P31, DOI 10.1016/j.jeconom.2005.07.009
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smit B, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P877
   Stern N., 2007, The Economics of Climate Change: The Stern Review, DOI DOI 10.1017/CBO9780511817434
   Thornton PK, 2014, GLOBAL CHANGE BIOL, V20, P3313, DOI 10.1111/gcb.12581
   Tompkins EL, 2010, GLOBAL ENVIRON CHANG, V20, P627, DOI 10.1016/j.gloenvcha.2010.05.001
   van Rijn F, 2012, AGR SYST, V108, P112, DOI 10.1016/j.agsy.2011.12.003
   Wamalwa I.W., 2016, J. Biol. Agric. Healthc., V6, P14
   Wilbanks TJ, 1999, CLIMATIC CHANGE, V43, P601, DOI 10.1023/A:1005418924748
   WMO, 2015, 1153 WMO
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
NR 66
TC 39
Z9 45
U1 1
U2 37
PU PUBLIC LIBRARY SCIENCE
PI SAN FRANCISCO
PA 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA
SN 1932-6203
J9 PLOS ONE
JI PLoS One
PD MAY 4
PY 2018
VL 13
IS 5
AR e0196392
DI 10.1371/journal.pone.0196392
PG 27
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics
GA GE7ZR
UT WOS:000431452100005
PM 29727457
OA Green Published, gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Honsdorf, N
   Mulvaney, MJ
   Singh, RP
   Ammar, K
   Burgueño, J
   Govaerts, B
   Verhulst, N
AF Honsdorf, Nora
   Mulvaney, Michael J.
   Singh, Ravi P.
   Ammar, Karim
   Burgueno, Juan
   Govaerts, Bram
   Verhulst, Nele
TI Genotype by tillage interaction and performance progress for bread and
   durum wheat genotypes on irrigated raised beds
SO FIELD CROPS RESEARCH
LA English
DT Article
DE Conservation agriculture; Genotype x tillage interaction; Permanent
   beds; Wheat; Yaqui valley
ID MULTIPLE RANGE TESTS; CONSERVATION AGRICULTURE; GRAIN-YIELD; SOIL
   QUALITY; SYSTEMS; CULTIVARS; MAIZE; 20TH-CENTURY; COMPONENTS; TRAITS
AB Agronomic systems based on zero tillage and residue retention are becoming more important due to their potential for climate change adaptation through the reduction of soil erosion and improved water availability. Denser soil surface conditions and large amounts of crop residues, however, may be a constraint for early plant establishment, especially in irrigated production areas with high yield potential. Genotype by tillage interactions for yield are not well understood and it is unknown whether tillage should be an evaluation factor in breeding programs.
   Twenty-six CIMMYT bread (Tritieum aestivum) and durum (Triticum turgidum) wheat genotypes, created between 1964 and 2009, were tested for yield and agronomic performance at CIMMYT's experimental station near Ciudad Obregon, Mexico, over six years. Treatments included conventional and permanent raised beds with full and reduced irrigation. The objectives were to study breeding progress in distinct agronomic systems and to elucidate the importance of tillage and genotype by tillage interaction for yield and agronomic traits.
   Breeding progress was achieved irrespective of agronomic treatment. Tillage influenced plant growth and number of grains per m(2) in both wheat types. In bread wheat, genotype by tillage interaction was significant for yield, test weight, and growth parameters. However, no cross -over effects were detected and rank changes were small. In durum wheat, genotype by tillage interaction was only significant for plant growth. The results do not indicate the need for separate breeding programs. However, the question of a need for selection under zero tillage to increase breeding progress is yet to be answered.
C1 [Honsdorf, Nora; Mulvaney, Michael J.; Singh, Ravi P.; Ammar, Karim; Burgueno, Juan; Govaerts, Bram; Verhulst, Nele] Int Maize & Wheat Improvement Ctr CIMMYT, Apdo Postal 6-641, Mexico City 06600, DF, Mexico.
   [Mulvaney, Michael J.] Univ Florida, Agron Dept, West Florida Res & Educ Ctr, 4253 Expt Rd,Hwy 182, Jay, FL 32565 USA.
C3 CGIAR; International Maize & Wheat Improvement Center (CIMMYT); State
   University System of Florida; University of Florida
RP Govaerts, B (corresponding author), Int Maize & Wheat Improvement Ctr CIMMYT, Apdo Postal 6-641, Mexico City 06600, DF, Mexico.
EM b.govaerts@cgiar.org
RI Mulvaney, Michael/AAJ-7077-2020; Singh, Ravi/I-5575-2019
OI Burgueno, Juan/0000-0002-1468-4867; Verhulst, Nele/0000-0001-5032-4386;
   Govaerts, Bram/0000-0002-6109-7286
CR AUSTIN RB, 1980, J AGR SCI-CAMBRIDGE, V94, P675, DOI 10.1017/S0021859600028665
   Carena MJ, 2009, EUPHYTICA, V169, P141, DOI 10.1007/s10681-009-9908-5
   CHAN KY, 1989, AUST J AGR RES, V40, P221, DOI 10.1071/AR9890221
   CIHA AJ, 1982, AGRON J, V74, P317, DOI 10.2134/agronj1982.00021962007400020014x
   COX DJ, 1991, EUPHYTICA, V58, P57, DOI 10.1007/BF00035340
   COX DJ, 1992, AGRON J, V84, P627, DOI 10.2134/agronj1992.00021962008400040018x
   De Vita P, 2007, EUR J AGRON, V26, P39, DOI 10.1016/j.eja.2006.08.009
   Erenstein O, 2008, SOIL TILL RES, V100, P1, DOI 10.1016/j.still.2008.05.001
   García del Moral LF, 2003, AGRON J, V95, P266, DOI 10.2134/agronj2003.0266
   HALL EF, 1989, AGRON J, V81, P789, DOI 10.2134/agronj1989.00021962008100050019x
   Herrera JM, 2013, CROP SCI, V53, P1845, DOI 10.2135/cropsci2013.01.0071
   Hobbs PR, 2008, PHILOS T R SOC B, V363, P543, DOI 10.1098/rstb.2007.2169
   HWU KK, 1992, CROP SCI, V32, P605, DOI 10.2135/cropsci1992.0011183X003200030007x
   Isidro J, 2011, ANN BOT-LONDON, V107, P1355, DOI 10.1093/aob/mcr063
   Kitonyo OM, 2017, FIELD CROP RES, V206, P65, DOI 10.1016/j.fcr.2017.02.017
   KRAMER CY, 1957, BIOMETRICS, V13, P13, DOI 10.2307/3001898
   KRAMER CY, 1956, BIOMETRICS, V12, P307, DOI 10.2307/3001469
   LeBissonnais Y, 1996, EUR J SOIL SCI, V47, P425, DOI 10.1111/j.1365-2389.1996.tb01843.x
   MCCAIG TN, 1995, CAN J PLANT SCI, V75, P55, DOI 10.4141/cjps95-009
   Montgomery DR, 2007, P NATL ACAD SCI USA, V104, P13268, DOI 10.1073/pnas.0611508104
   Pask A., 2012, PHYSL BREEDING FIELD
   Pecetti L, 1998, EUPHYTICA, V99, P9, DOI 10.1023/A:1018346901579
   Peng JR, 1999, NATURE, V400, P256, DOI 10.1038/22307
   Pittelkow CM, 2015, FIELD CROP RES, V183, P156, DOI 10.1016/j.fcr.2015.07.020
   Poorter H, 2012, FUNCT PLANT BIOL, V39, P821, DOI 10.1071/FP12028
   Qin XL, 2015, FIELD CROP RES, V177, P117, DOI 10.1016/j.fcr.2015.03.013
   Rebetzke GJ, 2017, FIELD CROP RES, V201, P122, DOI 10.1016/j.fcr.2016.10.019
   Rebetzke GJ, 2005, PLANT SOIL, V272, P87, DOI 10.1007/s11104-004-4040-8
   Riley HCF, 1998, SOIL TILL RES, V48, P265, DOI 10.1016/S0167-1987(98)00165-2
   Royo C, 2007, EUPHYTICA, V155, P259, DOI 10.1007/s10681-006-9327-9
   Sanchez-Garcia M, 2015, EUPHYTICA, V203, P321, DOI 10.1007/s10681-014-1268-0
   SAS Institute, 2013, SAS SOFTW WIND 9 4
   Saxton AM, 1998, PROCEEDINGS OF THE TWENTY-THIRD ANNUAL SAS USERS GROUP INTERNATIONAL CONFERENCE, P1243
   Singh VK, 2016, SOIL TILL RES, V155, P133, DOI 10.1016/j.still.2015.08.001
   THOMPSON CR, 1987, N DAK FARM RES, V44, P19
   Trethowan RM, 2012, FIELD CROP RES, V132, P76, DOI 10.1016/j.fcr.2011.10.015
   Tukey J.W., 1953, COLLECTED WORKS JW T, V8
   Verhulst N, 2010, ADV SOIL SCI-SER, P137
   Verhulst N., 2009, Classification of the soil at CIMMYT's experimental station in the Yaqui Valley near Ciudad Obregon, Sonora, Mexico, CIMMYT Report Mexico
   Verhulst N, 2011, FIELD CROP RES, V124, P347, DOI 10.1016/j.fcr.2011.07.002
   Verhulst N, 2011, PLANT SOIL, V344, P73, DOI 10.1007/s11104-011-0728-8
   Verhulst N, 2011, PLANT SOIL, V340, P467, DOI 10.1007/s11104-010-0620-y
   Verhulst N, 2011, FIELD CROP RES, V120, P58, DOI 10.1016/j.fcr.2010.08.012
   VYN TJ, 1991, CAN J PLANT SCI, V71, P669, DOI 10.4141/cjps91-099
   WADDINGTON SR, 1987, J AGR SCI-CAMBRIDGE, V108, P469, DOI 10.1017/S002185960007951X
   Watt M, 2005, FUNCT PLANT BIOL, V32, P695, DOI 10.1071/FP05026
   Wuest SB, 2000, SOIL TILL RES, V55, P175, DOI 10.1016/S0167-1987(00)00116-1
   Zhang GS, 2007, SOIL TILL RES, V92, P122, DOI 10.1016/j.still.2006.01.006
NR 48
TC 17
Z9 17
U1 2
U2 16
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 0378-4290
EI 1872-6852
J9 FIELD CROP RES
JI Field Crop. Res.
PD FEB
PY 2018
VL 216
BP 42
EP 52
DI 10.1016/j.fcr.2017.11.011
PG 11
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA FU2BG
UT WOS:000423652600005
DA 2025-01-10
ER

PT J
AU André, K
   Baird, J
   Swartling, ÅG
   Vulturius, G
   Plummer, R
AF Andre, Karin
   Baird, Julia
   Swartling, Asa Gerger
   Vulturius, Gregor
   Plummer, Ryan
TI Analysis of Swedish Forest Owners' Information and Knowledge-Sharing
   Networks for Decision-Making: Insights for Climate Change Communication
   and Adaptation
SO ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Ego-network analysis; Knowledge; Communication; Decision-making; Forest
   management; Risk perception
ID ADAPTIVE CAPACITY; MANAGEMENT; VULNERABILITY; GOVERNANCE; PERCEPTIONS;
   ATTITUDES; BARRIERS; ADVICE; VALUES; LIMITS
AB To further the understanding of climate change adaptation processes, more attention needs to be paid to the various contextual factors that shape whether and how climate-related knowledge and information is received and acted upon by actors involved. This study sets out to examine the characteristics of forest owners' in Sweden, the information and knowledge-sharing networks they draw upon for decision-making, and their perceptions of climate risks, their forests' resilience, the need for adaptation, and perceived adaptive capacity. By applying the concept of ego-network analysis, the empirical data was generated by a quantitative survey distributed to 3000 private forest owners' in Sweden in 2014 with a response rate of 31%. The results show that there is a positive correlation, even though it is generally weak, between forest owner climate perceptions and (i) network features, i.e. network size and heterogeneity, and (ii) presence of certain alter groups (i.e. network members or actors). Results indicate that forest owners' social networks currently serve only a minimal function of sharing knowledge of climate change and adaptation. Moreover, considering the fairly infrequent contact between respondents and alter groups, the timing of knowledge sharing is important. In conclusion we suggest those actors that forest owners' most frequently communicate with, especially forestry experts providing advisory services (e.g. forest owner associations, companies, and authorities) have a clear role to communicate both the risks of climate change and opportunities for adaptation. Peers are valuable in connecting information about climate risks and adaptation to the actual forest property.
C1 [Andre, Karin; Swartling, Asa Gerger; Vulturius, Gregor] Stockholm Environm Inst, Stockholm Ctr, Linnegatan 87D, S-11523 Stockholm, Sweden.
   [Baird, Julia; Plummer, Ryan] Brock Univ, Environm Sustainabil Res Ctr, St Catharines, ON L2S 3A1, Canada.
   [Vulturius, Gregor] Univ Edinburgh, Sch Geosci, Drummond St, Edinburgh EH8 9XP, Midlothian, Scotland.
   [Plummer, Ryan] Stockholm Univ, Stockholm Resilience Ctr, Kraftriket 2B, S-11419 Stockholm, Sweden.
C3 Stockholm Environment Institute; Brock University; University of
   Edinburgh; Stockholm University
RP André, K (corresponding author), Stockholm Environm Inst, Stockholm Ctr, Linnegatan 87D, S-11523 Stockholm, Sweden.
EM karin.andre@sei-international.org
RI Gerger Swartling, Asa/J-1420-2018
OI Gerger Swartling, Asa/0000-0003-3616-7323; Andre,
   Karin/0000-0002-0373-0143; Baird, Julia/0000-0002-2580-5361
FU Swedish Foundation for Environmental Research (Mistra)
FX The authors wish to thank all respondents for their participation. We
   are also thankful to Olle Olsson (SEI), Anna Maria Jonsson, Fredrik
   Lagergren and Mats Andersson (Lund University) and Anna Norden
   (Gothenburg University) for support and assistance with the survey. We
   thank the anonymous reviewers, as well as Marion Davis (SEI) for their
   helpful comments on earlier versions of this article. We acknowledge the
   financial support of the Swedish Foundation for Environmental Research
   (Mistra). This study is part of the Mistra-SWECIA programme on climate,
   impacts and adaptation.
CR Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Andersson M, 2012, J FOREST ECON, V18, P3, DOI 10.1016/j.jfe.2011.05.001
   Andre K, 2016, 7 SWECA LUND U
   Andre K, 2013, THESIS, V579
   André K, 2015, J ENVIRON PLANN MAN, V58, P297, DOI 10.1080/09640568.2013.854717
   [Anonymous], 2010, GENEVA TIMBER FOREST
   [Anonymous], 2003, 21 SESS IPCC VIENN A, DOI DOI 10.4324/9781315270326-109
   [Anonymous], ECOL B
   [Anonymous], SMHI KLIMATOLOGI
   Baird J, 2014, GLOBAL ENVIRON CHANG, V27, P51, DOI 10.1016/j.gloenvcha.2014.04.019
   Baumgart-Getz A, 2012, J ENVIRON MANAGE, V96, P17, DOI 10.1016/j.jenvman.2011.10.006
   Bennett NJ, 2016, CONSERV BIOL, V30, P582, DOI 10.1111/cobi.12681
   Berkhout F, 2012, WIRES CLIM CHANGE, V3, P91, DOI 10.1002/wcc.154
   Bharwani S, 2012, VISUALIZATION I NETW
   Blennow K, 2008, J RISK RES, V11, P237, DOI 10.1080/13669870801939415
   Blennow K, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0050182
   Bodin Ö, 2009, GLOBAL ENVIRON CHANG, V19, P366, DOI 10.1016/j.gloenvcha.2009.05.002
   Borgatti S.P., 2018, Analyzing Social Networks
   Brossard D, 2010, NEW AGENDAS COMMUN, P11
   Crona B., 2011, ADAPTING I GOVERNANC, P11, DOI [10.1017/CBO9781139017237.005, DOI 10.1017/CBO9781139017237.005]
   Crona B, 2006, ECOL SOC, V11
   Dow K, 2013, REG ENVIRON CHANGE, V13, P1235, DOI 10.1007/s10113-013-0440-8
   Dow K, 2013, NAT CLIM CHANGE, V3, P305, DOI 10.1038/nclimate1847
   Field A., 2009, Discovering statistics with SPSS, V3rd
   Ford JD, 2011, CLIMATIC CHANGE, V106, P327, DOI 10.1007/s10584-011-0045-5
   Gerger Swartling A, 2015, ADAPTIVE CHALLENGE C, P252
   GRANOVETTER MS, 1973, AM J SOCIOL, V78, P1360, DOI 10.1086/225469
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Grotta AT, 2013, J FOREST, V111, P87, DOI 10.5849/jof.12-052
   Guillén LA, 2015, FOREST POLICY ECON, V53, P21, DOI 10.1016/j.forpol.2014.12.006
   Haythornthwaite C., 1996, LIB INFORM SCI RES, V18, P323, DOI [DOI 10.1016/S0740-8188(96)90003-1, 10.1016/s0740-8188(96)90003-1]
   Hujala T, 2007, SCAND J FOREST RES, V22, P454, DOI 10.1080/02827580701395434
   Isaac ME, 2007, ECOL SOC, V12
   Isaac ME, 2012, AGR SYST, V109, P9, DOI 10.1016/j.agsy.2012.01.011
   Jasny L, 2015, NAT CLIM CHANGE, V5, P782, DOI [10.1038/nclimate2666, 10.1038/NCLIMATE2666]
   Keskitalo ECH, 2008, CLIMATIC CHANGE, V87, P219, DOI 10.1007/s10584-007-9337-1
   Keskitalo ECH, 2014, AMBIO, V43, P745, DOI 10.1007/s13280-014-0492-0
   Keskitalo ECH, 2011, FORESTS, V2, P415, DOI 10.3390/f2010415
   Keskitalo ECH, 2009, MITIG ADAPT STRAT GL, V14, P185, DOI 10.1007/s11027-008-9159-0
   Kittredge DB, 2013, NORTH J APPL FOR, V30, P67, DOI 10.5849/njaf.11-004
   Knoot TG, 2011, SCAND J FOREST RES, V26, P171, DOI 10.1080/02827581.2010.545827
   Lindner M, 2008, AGRI2007G406
   Lindner M, 2010, FOREST ECOL MANAG, V259, P698, DOI 10.1016/j.foreco.2009.09.023
   Lorenzoni I, 2007, GLOBAL ENVIRON CHANG, V17, P445, DOI 10.1016/j.gloenvcha.2007.01.004
   May B, 2015, ADAPTIVE CHALLENGE C, P230
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Moser SC, 2007, CREATING A CLIMATE FOR CHANGE: COMMUNICATING CLIMATE CHANGE AND FACILITATING SOCIAL CHANGE, P491, DOI 10.1017/CBO9780511535871.035
   Murray G, 2016, MAR POLICY, V73, P61, DOI 10.1016/j.marpol.2016.07.008
   Naustdalslid J, 2011, INT J SUST DEV WORLD, V18, P243, DOI 10.1080/13504509.2011.572303
   Newman L., 2007, ENVIRON DEV SUSTAIN, V9, P79, DOI DOI 10.1007/s10668-005-9004-5
   Nisbet MC, 2009, AM J BOT, V96, P1767, DOI 10.3732/ajb.0900041
   Norden A, 2015, 616 EC LAW U GOTH DE
   Nordlund A, 2011, FORESTS, V2, P30, DOI 10.3390/f2010030
   Pelling M, 2008, ENVIRON PLANN A, V40, P867, DOI 10.1068/a39148
   Persson E, 2011, D5 4 REPORT STAKEHOL
   Prell C, 2010, ECOL SOC, V15
   Prell C, 2009, SOC NATUR RESOUR, V22, P501, DOI 10.1080/08941920802199202
   Rist S, 2007, J RURAL STUD, V23, P23, DOI 10.1016/j.jrurstud.2006.02.006
   Schoene DHF, 2012, FOREST POLICY ECON, V24, P12, DOI 10.1016/j.forpol.2011.04.007
   Sfa, 2014, STAT YB FOR 2014
   Stiller S, 2016, REG ENVIRON CHANGE, V16, P1543, DOI 10.1007/s10113-015-0886-y
   Turner RA, 2014, GLOBAL ENVIRON CHANG, V29, P105, DOI 10.1016/j.gloenvcha.2014.08.004
   Uggla Y, 2016, SCAND J FOREST RES, V31, P618, DOI 10.1080/02827581.2015.1134648
   Ulmanen J, 2015, FORESTS, V6, P708, DOI 10.3390/f6030708
   Vulturius G, 2015, MISTRA SWECIA ANN RE
   Vulturius G, REG ENV CHANGE UNPUB
   Vulturius G, 2015, SCAND J FOREST RES, V30, P217, DOI 10.1080/02827581.2014.1002218
   Weichselgartner J, 2012, CURR OPIN ENV SUST, V4, P323, DOI 10.1016/j.cosust.2012.05.001
   Weichselgartner J, 2010, GLOBAL ENVIRON CHANG, V20, P266, DOI 10.1016/j.gloenvcha.2009.11.006
   Whitmarsh L, 2008, J RISK RES, V11, P351, DOI 10.1080/13669870701552235
   Wibeck V, 2014, ENVIRON EDUC RES, V20, P387, DOI 10.1080/13504622.2013.812720
   Wilby RL, 2011, WATER ENVIRON J, V25, P271, DOI 10.1111/j.1747-6593.2010.00220.x
   Williams C, 2015, NAT CLIM CHANGE, V5, P82, DOI 10.1038/nclimate2476
   Wolf J, 2010, GLOBAL ENVIRON CHANG, V20, P44, DOI 10.1016/j.gloenvcha.2009.09.004
NR 74
TC 38
Z9 42
U1 0
U2 53
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0364-152X
EI 1432-1009
J9 ENVIRON MANAGE
JI Environ. Manage.
PD JUN
PY 2017
VL 59
IS 6
BP 885
EP 897
DI 10.1007/s00267-017-0844-1
PG 13
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA ET6ZW
UT WOS:000400444100002
PM 28275850
DA 2025-01-10
ER

PT J
AU Cousins, JJ
AF Cousins, Joshua J.
TI Infrastructure and institutions: Stakeholder perspectives of stormwater
   governance in Chicago
SO CITIES
LA English
DT Article
DE Stormwater; Green infrastructure; Environmental governance; Climate
   change
ID CLIMATE-CHANGE ADAPTATION; GREEN INFRASTRUCTURE; Q-METHODOLOGY;
   MANAGEMENT; SUBJECTIVITIES; ORGANIZATIONS; PERCEPTIONS; DISCOURSES;
   ECOLOGY; SCIENCE
AB This article examines the ways stakeholder preferences and perspectives of stormwater management converge and diverge in Chicago. With a greater emphasis on broad stakeholder participation in urban environmental governance and decision-making, accommodating and moderating multiple and competing perspectives. ill become a greater part of urban green-space planning. Decision-makers must choose how resources are to be allocated to manage stormwater and decide among the multiple and sometimes conflicting options available to reduce the impact of stormwater at different sites across the city and region. This paper examines the disparate understandings of how to best manage stormwater in the city. The results reveal that departmental silos may not adequately explain variation in stakeholder perspectives. Instead, two dominant perspectives towards stormwater management connect diverse stakeholder groups in Chicago: the Infrastructural Interventionist and the Institutional Interventionist. The first strongly views stricter laws and regulations, developed in tandem with science and data-driven approaches, as the best way to improve stormwater management. The second desires new rules and institutions to foster integrated management approaches, as well as more robust economic instruments capable of assigning a monetary value to stormwater, as critical to resolving stormwater problems. Conflicting points of perspective arise around the preferred type of infrastructure to be implemented to deal with stormwater and how it is to be developed. Understanding how these two social perspectives interact and conflict is important in considering the actions that will ultimately be undertaken to direct landscape changes capable of resolving the multiple challenges Chicago faces in managing stormwater. (C) 2017 Elsevier Ltd. All rights reserved.
C1 [Cousins, Joshua J.] Dartmouth Coll, Ecol Evolut Ecosyst & Soc Program, Dept Geog & Environm Studies Program, 6017 Fairchild, Hanover, NH 03755 USA.
C3 Dartmouth College
RP Cousins, JJ (corresponding author), Dartmouth Coll, Ecol Evolut Ecosyst & Soc Program, Dept Geog & Environm Studies Program, 6017 Fairchild, Hanover, NH 03755 USA.
EM Joshua.j.cousins@dartmouth.edu
OI Cousins, Joshua/0000-0003-1835-6024
FU Rackham Doctoral Research Grant; National Science Foundation [1536377];
   Direct For Social, Behav & Economic Scie [1536377] Funding Source:
   National Science Foundation; Division Of Behavioral and Cognitive Sci
   [1536377] Funding Source: National Science Foundation
FX I would like to thank the reviewers for the helpful and insightful
   comments and all of those who took their time to contribute to this
   study. I also want to thank Josh Newell, Bilal Butt, Maria Carmen Lemos,
   Scott Campbell and those who provided feedback through the Resilience
   Interdisciplinary Working Group at the University of Michigan. This
   research was supported by a Rackham Doctoral Research Grant and the
   National Science Foundation # 1536377. Any opinions, findings, and
   conclusions or recommendations expressed in this material are those of
   the author(s) and do not necessarily reflect the views of the National
   Science Foundation. All errors remain my own.
CR [Anonymous], T I BRIT GEOGRAPHERS
   [Anonymous], 2005, Safe Winter Roads and the Environment, P1
   [Anonymous], POLITICS EARTH ENV D
   [Anonymous], W KENTUCKY U STORMWA
   [Anonymous], GEOFORUM
   [Anonymous], CHICAGO CLIMATE ACTI
   [Anonymous], ANN AM ASS GEOGRAPHE
   [Anonymous], RE ENV CHIC RIV AD C
   [Anonymous], PROG HUM GEOG
   Barry J, 1999, ECOL ECON, V28, P337, DOI 10.1016/S0921-8009(98)00053-6
   Brannstrom C, 2011, PROF GEOGR, V63, P531, DOI 10.1080/00330124.2011.585081
   Brannstrom C, 2011, ANN ASSOC AM GEOGR, V101, P839, DOI 10.1080/00045608.2011.568871
   Broto VC, 2013, GLOBAL ENVIRON CHANG, V23, P92, DOI 10.1016/j.gloenvcha.2012.07.005
   Brown RR, 2008, ENVIRON MANAGE, V41, P221, DOI 10.1007/s00267-007-9046-6
   Bulkeley H, 2010, ANNU REV ENV RESOUR, V35, P229, DOI 10.1146/annurev-environ-072809-101747
   Byrne JA, 2015, LANDSCAPE URBAN PLAN, V138, P132, DOI 10.1016/j.landurbplan.2015.02.013
   Changnon SA, 2002, J AM WATER RESOUR AS, V38, P1467, DOI 10.1111/j.1752-1688.2002.tb04359.x
   Changnon SA, 2010, J CONTEMP WAT RES ED, V146, P103, DOI 10.1111/j.1936-704X.2010.00396.x
   Danielson S, 2010, SOC NATUR RESOUR, V23, P92, DOI 10.1080/08941920802438626
   Dobbie M, 2013, LANDSCAPE URBAN PLAN, V110, P143, DOI 10.1016/j.landurbplan.2012.11.003
   Dorfman M., 2011, Thirsty for Answers: Preparing for the Water-related impacts of Climate Change in American Cities
   Eden S, 2005, AREA, V37, P413, DOI 10.1111/j.1475-4762.2005.00641.x
   Emanuel R., 2014, City of Chicago Green Stormwater Infrastructure Strategy
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Farrelly M, 2011, GLOBAL ENVIRON CHANG, V21, P721, DOI 10.1016/j.gloenvcha.2011.01.007
   Finewood MH, 2016, ANTIPODE, V48, P1000, DOI 10.1111/anti.12238
   Fisher J, 2009, ENVIRON PLANN A, V41, P2516, DOI 10.1068/a41129
   Fitzgerald J, 2017, LOCAL ENVIRON, V22, P256, DOI 10.1080/13549839.2016.1191063
   Forrester J, 2015, APPL GEOGR, V56, P199, DOI 10.1016/j.apgeog.2014.11.019
   Freitag A, 2014, HUM ECOL, V42, P325, DOI 10.1007/s10745-014-9649-5
   Gartland L., 2008, HEAT ISLANDS UNDERST
   Glaser B., 1967, The Discovery of Grounded Theory
   Guttman L., 1954, Psychometrika, V19, P149, DOI [10.1007/BF02289162, DOI 10.1007/BF02289162]
   KAISER HF, 1960, EDUC PSYCHOL MEAS, V20, P141, DOI 10.1177/001316446002000116
   Kaplowitz MD, 2012, LANDSCAPE URBAN PLAN, V104, P364, DOI 10.1016/j.landurbplan.2011.11.013
   Kirchhoff CJ, 2013, ENVIRON SCI POLICY, V26, P6, DOI 10.1016/j.envsci.2012.07.001
   Malec S., 2003, National Conference on Urban Stormwater: Enhancing Programs at the Local Level, P215
   Matthews T, 2015, LANDSCAPE URBAN PLAN, V138, P155, DOI 10.1016/j.landurbplan.2015.02.010
   Ntelekos AA, 2010, CLIMATIC CHANGE, V103, P597, DOI 10.1007/s10584-009-9789-6
   O'Neill SJ, 2013, GLOBAL ENVIRON CHANG, V23, P413, DOI 10.1016/j.gloenvcha.2012.11.006
   Pachauri R.K., 2014, CLIMATE CHANGE 2014
   Pallett H, 2015, PROG HUM GEOG, V39, P146, DOI 10.1177/0309132513518831
   Powers T.H., 2014, City of Chicago Stormwater Management Ordinance Manual
   RITTEL HWJ, 1973, POLICY SCI, V4, P155, DOI 10.1007/BF01405730
   Robbins P, 2006, GEOFORUM, V37, P185, DOI 10.1016/j.geoforum.2004.11.011
   Robbins P, 2000, PROF GEOGR, V52, P636, DOI 10.1111/0033-0124.00252
   Robertson MM, 2004, GEOFORUM, V35, P361, DOI 10.1016/j.geoforum.2003.06.002
   Schäffler A, 2013, ECOL ECON, V86, P246, DOI 10.1016/j.ecolecon.2012.05.008
   Setiawan AD, 2013, ENERG POLICY, V61, P1188, DOI 10.1016/j.enpol.2013.06.057
   STAR SL, 1989, SOC STUD SCI, V19, P387, DOI 10.1177/030631289019003001
   Swedeen P, 2006, ECOL ECON, V57, P190, DOI 10.1016/j.ecolecon.2005.04.003
   Ward L, 2013, GEOFORUM, V46, P91, DOI 10.1016/j.geoforum.2012.12.004
   Watts S., 2012, Doing Q methodological research
   Webler T., 2009, Using Q Method to reveal social perspectives in environmental research
   White SS, 2007, J AM PLANN ASSOC, V73, P185, DOI 10.1080/01944360708976152
NR 55
TC 51
Z9 59
U1 1
U2 44
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0264-2751
EI 1873-6084
J9 CITIES
JI Cities
PD JUN
PY 2017
VL 66
BP 44
EP 52
DI 10.1016/j.cities.2017.03.005
PG 9
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA EX3JS
UT WOS:000403129000005
OA Bronze
DA 2025-01-10
ER

PT J
AU Martinuzzi, S
   Allstadt, AJ
   Bateman, BL
   Heglund, PJ
   Pidgeon, AM
   Thogmartin, WE
   Vavrus, SJ
   Radeloff, VC
AF Martinuzzi, Sebastian
   Allstadt, Andrew J.
   Bateman, Brooke L.
   Heglund, Patricia J.
   Pidgeon, Anna M.
   Thogmartin, Wayne E.
   Vavrus, Stephen J.
   Radeloff, Volker C.
TI Future frequencies of extreme weather events in the National Wildlife
   Refuges of the conterminous US
SO BIOLOGICAL CONSERVATION
LA English
DT Article
DE Protected areas; Climate change; Conservation planning; Droughts;
   Extreme heat; False springs
ID CLIMATE-CHANGE; PROTECTED AREAS; TREE MORTALITY; FROST DAMAGE;
   VULNERABILITY; IMPACTS; DROUGHT; PHENOLOGY; COMMUNITY; RESPONSES
AB Climate change is a major challenge for managers of protected areas world-wide, and managers need information about future climate conditions within protected areas. Prior studies of climate change effects in protected areas have largely focused on average climatic conditions. However, extreme weather may have stronger effects on wildlife populations and habitats than changes in averages. Our goal was to quantify future changes in the frequency of extreme heat, drought, and false springs, during the avian breeding season, in 415 National Wildlife Refuges in the conterminous United States. We analyzed spatially detailed data on extreme weather frequencies during the historical period (1950-2005) and under different scenarios of future climate change by mid- and late-21st century. We found that all wildlife refuges will likely experience substantial changes in the frequencies of extreme weather, but the types of projected changes differed among refuges. Extreme heat is projected to increase dramatically in all wildlife refuges, whereas changes in droughts and false springs are projected to increase or decrease on a regional basis. Half of all wildlife refuges are projected to see increases in frequency (>20% higher than the current rate) in at least two types of weather extremes by mid-century. Wildlife refuges in the Southwest and Pacific Southwest are projected to exhibit the fastest rates of change, and may deserve extra attention. Climate change adaptation strategies in protected areas, such as the U.S. wildlife refuges, may need to seriously consider future changes in extreme weather, including the considerable spatial variation of these changes. (C) 2016 Elsevier Ltd. All rights reserved.
C1 [Martinuzzi, Sebastian; Allstadt, Andrew J.; Bateman, Brooke L.; Pidgeon, Anna M.; Radeloff, Volker C.] Univ Wisconsin, Dept Forest & Wildlife Ecol, SILVIS Lab, 1630 Linden Dr, Madison, WI 53706 USA.
   [Heglund, Patricia J.] US Fish & Wildlife Serv, NWRS, Reg 3,2630 Fanta Reed Rd, La Crosse, WI 54603 USA.
   [Thogmartin, Wayne E.] US Geol Survey, Upper Midwest Environm Sci Ctr, 2630 Fanta Reed Rd, La Crosse, WI 54603 USA.
   [Vavrus, Stephen J.] Univ Wisconsin, Nelson Inst, Ctr Climat Res, 1225 W Dayton St, Madison, WI 53706 USA.
C3 University of Wisconsin System; University of Wisconsin Madison; United
   States Department of the Interior; US Fish & Wildlife Service; United
   States Department of the Interior; United States Geological Survey;
   University of Wisconsin System; University of Wisconsin Madison
RP Martinuzzi, S (corresponding author), Univ Wisconsin, Dept Forest & Wildlife Ecol, SILVIS Lab, 1630 Linden Dr, Madison, WI 53706 USA.
EM martinuzzi@wisc.edu
RI Bateman, Brooke/C-5961-2011; Radeloff, Volker/B-6124-2016; Thogmartin,
   Wayne/A-4461-2008
OI Allstadt, Andrew/0000-0003-3915-0834; Bateman,
   Brooke/0000-0001-5474-4599; Thogmartin, Wayne/0000-0002-2384-4279
FU NASA Biodiversity and Ecological Forecasting Program
   [NNH10ZDA001N-BIOCLIM-12]
FX We gratefully acknowledge support for this research by the NASA
   Biodiversity and Ecological Forecasting Program under grant
   NNH10ZDA001N-BIOCLIM-12. The findings and conclusions in this article
   are those of the authors and do not necessarily represent the views of
   the U.S. Fish and Wildlife Service. Any use of trade, product, or firm
   names are for descriptive purposes only and do not imply endorsement by
   the U.S. Government
CR Albright TP, 2010, GLOBAL CHANGE BIOL, V16, P2158, DOI 10.1111/j.1365-2486.2009.02120.x
   Allen CD, 2010, FOREST ECOL MANAG, V259, P660, DOI 10.1016/j.foreco.2009.09.001
   Allstadt AJ, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/10/104008
   [Anonymous], 2014, CLIMATE CHANGE IMPAC
   [Anonymous], 1993, P 8 C APPL CLIM
   [Anonymous], 1987, FROST SURVIVAL PLANT
   [Anonymous], J APPL ECOL
   [Anonymous], 2012, Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change
   [Anonymous], 2014, Downscaled CMIP3 and CMIP5 Climate and Hydrology Projections: Release of Hydrology Projections, Comparison with preceding Information, and Summary of User Needs
   Augspurger CK, 2013, ECOLOGY, V94, P41, DOI 10.1890/12-0200.1
   Augspurger CK, 2011, PLANT ECOL, V212, P1193, DOI 10.1007/s11258-011-9897-z
   Barrows CW, 2010, BIOL CONSERV, V143, P731, DOI 10.1016/j.biocon.2009.12.013
   Bateman BL, 2015, LANDSCAPE ECOL, V30, P1095, DOI 10.1007/s10980-015-0212-6
   Bolger DT, 2005, OECOLOGIA, V142, P398, DOI 10.1007/s00442-004-1734-9
   Both C, 2001, NATURE, V411, P296, DOI 10.1038/35077063
   Breitburg DL, 1998, SUCCESSES, LIMITATIONS, AND FRONTIERS IN ECOSYSTEM SCIENCE, P416
   Carnicer J, 2011, P NATL ACAD SCI USA, V108, P1474, DOI 10.1073/pnas.1010070108
   Cook BI, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1400082
   Cruz-McDonnell K.K., 2015, GLOB CHANG BIOL
   Czech B. S., 2014, PLANNING CLIMATE CHA
   Dale VH, 2001, BIOSCIENCE, V51, P723, DOI 10.1641/0006-3568(2001)051[0723:CCAFD]2.0.CO;2
   Davison JE, 2012, BIODIVERS CONSERV, V21, P189, DOI 10.1007/s10531-011-0175-0
   Drever MC, 2012, GLOBAL CHANGE BIOL, V18, P480, DOI 10.1111/j.1365-2486.2011.02541.x
   Erwin KL, 2009, WETL ECOL MANAG, V17, P71, DOI 10.1007/s11273-008-9119-1
   Filewod B, 2014, GLOBAL CHANGE BIOL, V20, P360, DOI 10.1111/gcb.12354
   FINKELSTEIN PL, 1991, J CLIMATE, V4, P373, DOI 10.1175/1520-0442(1991)004<0373:SDOPSI>2.0.CO;2
   Garcia RA, 2014, SCIENCE, V344, P486, DOI 10.1126/science.1247579
   Griffith B, 2009, ENVIRON MANAGE, V44, P1043, DOI 10.1007/s00267-009-9323-7
   Gu L, 2008, BIOSCIENCE, V58, P253, DOI 10.1641/B580311
   Guttman NB, 1999, J AM WATER RESOUR AS, V35, P311, DOI 10.1111/j.1752-1688.1999.tb03592.x
   Hamilton C.M., 2016, LANDSC ECOL
   Hamilton CM, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0055737
   Hannah L, 2008, ANN NY ACAD SCI, V1134, P201, DOI 10.1196/annals.1439.009
   Hole DG, 2009, ECOL LETT, V12, P420, DOI 10.1111/j.1461-0248.2009.01297.x
   Hufkens K, 2012, GLOBAL CHANGE BIOL, V18, P2365, DOI 10.1111/j.1365-2486.2012.02712.x
   Inouye DW, 2008, ECOLOGY, V89, P353, DOI 10.1890/06-2128.1
   Jenouvrier S, 2013, GLOBAL CHANGE BIOL, V19, P2036, DOI 10.1111/gcb.12195
   Jiménez MA, 2011, ECOL LETT, V14, P1227, DOI 10.1111/j.1461-0248.2011.01693.x
   Johnson WC, 2005, BIOSCIENCE, V55, P863, DOI 10.1641/0006-3568(2005)055[0863:VONPWT]2.0.CO;2
   Langdon JGR, 2015, ECOSPHERE, V6, DOI 10.1890/ES14-00400.1
   Lawler JJ, 2009, ANN NY ACAD SCI, V1162, P79, DOI 10.1111/j.1749-6632.2009.04147.x
   Loarie SR, 2009, NATURE, V462, P1052, DOI 10.1038/nature08649
   Marino GP, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/2/024015
   Martinuzzi S, 2015, BIOL CONSERV, V184, P446, DOI 10.1016/j.biocon.2015.02.015
   Maurer E.P., 2007, Eos, Transactions, American Geophysical Union, V88, DOI 10.1029/2007EO470006
   Monahan WB, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0101302
   Nimmo D.G., 2015, J APPL ECOL
   NIXON CM, 1969, J WILDLIFE MANAGE, V33, P353, DOI 10.2307/3799835
   Oliver TH, 2013, ECOGRAPHY, V36, P579, DOI 10.1111/j.1600-0587.2012.07665.x
   Parmesan C, 2000, B AM METEOROL SOC, V81, P443, DOI 10.1175/1520-0477(2000)081<0443:IOEWAC>2.3.CO;2
   Reyer CPO, 2013, GLOBAL CHANGE BIOL, V19, P75, DOI 10.1111/gcb.12023
   Scheffers BR, 2014, GLOBAL CHANGE BIOL, V20, P495, DOI 10.1111/gcb.12439
   Schwartz MD, 2013, INT J CLIMATOL, V33, P2917, DOI 10.1002/joc.3625
   SCHWARTZ MD, 1993, PHYS GEOGR, V14, P536, DOI 10.1080/02723646.1993.10642496
   Scriven SA, 2015, BIOL CONSERV, V184, P414, DOI 10.1016/j.biocon.2015.02.018
   Thurow TL, 1999, J RANGE MANAGE, V52, P413, DOI 10.2307/4003766
   van Wilgen NJ, 2016, INT J CLIMATOL, V36, P706, DOI 10.1002/joc.4377
   Walther GR, 2010, PHILOS T R SOC B, V365, P2019, DOI 10.1098/rstb.2010.0021
   Westerling AL, 2006, SCIENCE, V313, P940, DOI 10.1126/science.1128834
   Wiens JA, 2011, BIOL CONSERV, V144, P2119, DOI 10.1016/j.biocon.2011.05.002
NR 60
TC 17
Z9 20
U1 1
U2 38
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0006-3207
EI 1873-2917
J9 BIOL CONSERV
JI Biol. Conserv.
PD SEP
PY 2016
VL 201
BP 327
EP 335
DI 10.1016/j.biocon.2016.07.007
PG 9
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA DY0JJ
UT WOS:000384782800038
DA 2025-01-10
ER

PT J
AU Bhushan, R
   Ng, TL
AF Bhushan, Rashi
   Ng, Tze Ling
TI Integrating desalination to reservoir operation to increase redundancy
   for more secure water supply
SO WATER RESOURCES RESEARCH
LA English
DT Article
DE climate change adaptation; integrated water resources management;
   reservoir operation; desalination; water supply uncertainty;
   multiobjective optimization
ID OF-THE-ART; MULTIRESERVOIR SYSTEMS; GENETIC ALGORITHM; CLIMATE-CHANGE;
   POTABLE REUSE; RIVER-BASIN; OPTIMIZATION; RESOURCE; COST; VULNERABILITY
AB We investigate the potential of integrating desalination to existing reservoir systems to mitigate supply uncertainty. Desalinated seawater and wastewater are relatively reliable but expensive. Water from natural resources like reservoirs is generally cheaper but climate sensitive. We propose combining the operation of a reservoir and seawater and wastewater desalination plants for an overall system that is less vulnerable to scarcity and uncertainty, while constraining total cost. The joint system is modeled as a multiobjective optimization problem with the double objectives of minimizing risk and vulnerability, subject to a minimum limit on resilience. The joint model is applied to two cases, one based on the climate and demands of a location in India and the other of a location in California. The results for the Indian case indicate that it is possible for the joint system to reduce risk and vulnerability to zero given a budget increase of 20-120% under current climate conditions and 30-150% under projected future conditions. For the Californian case, this would require budget increases of 20-80% and 30-140% under current and future conditions, respectively. Further, our analysis shows a two-way interaction between the reservoir and desalination plants where the optimal operation of the former is just as much affected by the latter as the latter by the former. This highlights the importance of an integrated management approach. This study contributes to a greater quantitative understanding of desalination as a redundancy measure for adapting water supply infrastructures for a future of greater scarcity and uncertainty.
C1 [Bhushan, Rashi; Ng, Tze Ling] Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Hong Kong, Peoples R China.
C3 Hong Kong University of Science & Technology
RP Ng, TL (corresponding author), Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Hong Kong, Peoples R China.
EM tzeling@ust.hk
OI Ng, Tze Ling/0000-0002-3993-1625
FU General Research Fund (GRF) of the Research Grants Council (RGC) of Hong
   Kong [617012]
FX This work is supported by project 617012 of the General Research Fund
   (GRF) of the Research Grants Council (RGC) of Hong Kong. The authors
   thank the three anonymous reviewers, especially Reviewer 1, for their
   valuable and constructive comments. The data used and generated in this
   study are available upon request by emailing the corresponding author at
   tzeling@ust.hk.
CR Afshar A, 2007, J FRANKLIN I, V344, P452, DOI 10.1016/j.jfranklin.2006.06.001
   Ahmadi M, 2014, WATER RESOUR MANAG, V28, P131, DOI 10.1007/s11269-013-0476-z
   [Anonymous], 2015, Wastewater Management: A UN-Water Analytical Brief
   [Anonymous], 2007, CLIMATE CHANGE 2007
   [Anonymous], WAT REUS POT EXP NAT
   Beuhler M, 2003, WATER SCI TECHNOL, V47, P165, DOI 10.2166/wst.2003.0685
   Bixio D, 2006, DESALINATION, V187, P89, DOI 10.1016/j.desal.2005.04.070
   BRAS RL, 1983, WATER RESOUR RES, V19, P33, DOI 10.1029/WR019i001p00033
   Chang FJ, 2005, HYDROL PROCESS, V19, P2277, DOI 10.1002/hyp.5674
   Chilton C.H., 1950, CHEM ENG-NEW YORK, V57, P112
   DATTA B, 1984, WATER RESOUR RES, V20, P1039, DOI 10.1029/WR020i008p01039
   Deb K, 2002, IEEE T EVOLUT COMPUT, V6, P182, DOI 10.1109/4235.996017
   Dore MHI, 2005, ENVIRON INT, V31, P1167, DOI 10.1016/j.envint.2005.03.004
   Downer John., 2009, FAILURE IS OPTION RE
   Dreizin Y, 2006, DESALINATION, V190, P104, DOI 10.1016/j.desal.2005.08.006
   El Azhar F, 2012, DESALINATION, V300, P46, DOI 10.1016/j.desal.2012.06.003
   Elimelech M, 2011, SCIENCE, V333, P712, DOI 10.1126/science.1200488
   Esat V., 1994, P 1 INT C HYDR BAIK, P225
   ESCAP, 2011, STAT YB AS PAC 2011
   Essink GHPO, 2001, OCEAN COAST MANAGE, V44, P429
   Feitelson E, 2012, GEOFORUM, V43, P272, DOI 10.1016/j.geoforum.2011.08.011
   Franz KJ, 2003, J HYDROMETEOROL, V4, P1105, DOI 10.1175/1525-7541(2003)004<1105:VONWSE>2.0.CO;2
   Fritzmann C, 2007, DESALINATION, V216, P1, DOI 10.1016/j.desal.2006.12.009
   Gablinger M., 1972, SHR72089 TAH WAT PLA
   Greenlee LF, 2009, WATER RES, V43, P2317, DOI 10.1016/j.watres.2009.03.010
   Guo ZC, 2010, ENERGY, V35, P4356, DOI 10.1016/j.energy.2009.04.008
   Hakimi-Asiabar M, 2010, APPL SOFT COMPUT, V10, P1151, DOI 10.1016/j.asoc.2009.08.016
   Hamdan SM, 2009, WATER SCI TECHNOL, V60, P1327, DOI 10.2166/wst.2009.396
   HARGREAVES GL, 1985, J IRRIG DRAIN ENG, V111, P113, DOI 10.1061/(ASCE)0733-9437(1985)111:2(113)
   Haruvy N., 2008, International Journal of Water, V4, P25, DOI 10.1504/IJW.2008.018145
   HASHIMOTO T, 1982, WATER RESOUR RES, V18, P14, DOI 10.1029/WR018i001p00014
   Kally Elisha., 1993, Water and Peace: Water Resources and the Arab-Israeli Peace Process
   Karagiannis IC, 2008, DESALINATION, V223, P448, DOI 10.1016/j.desal.2007.02.071
   Kaur R, 2012, 2 REG WORKSH SAF US, P1
   Kinkade-Levario H., 2007, DESIGN WATER RAINWAT
   Kumar DN, 2007, J WATER RES PLAN MAN, V133, P192, DOI 10.1061/(ASCE)0733-9496(2007)133:3(192)
   Kumar DN, 2006, WATER RESOUR MANAG, V20, P879, DOI 10.1007/s11269-005-9012-0
   Kumar KK, 2004, INT J CLIMATOL, V24, P1375, DOI 10.1002/joc.1081
   Labadie JW, 2004, J WATER RES PLAN MAN, V130, P93, DOI 10.1061/(ASCE)0733-9496(2004)130:2(93)
   Leverenz HL, 2011, J WATER REUSE DESAL, V1, P2, DOI 10.2166/wrd.2011.000
   Li Z, 2010, DESALINATION, V260, P1, DOI 10.1016/j.desal.2010.05.035
   Martinez GF, 2010, WATER RESOUR RES, V46, DOI 10.1029/2009WR008294
   Maupin M. A., 2014, 1405 US GEOL SURV, V1405
   McArdle P, 2011, WATER SCI TECHNOL, V63, P16, DOI 10.2166/wst.2011.003
   MOY WS, 1986, WATER RESOUR RES, V22, P489, DOI 10.1029/WR022i004p00489
   Najafi MR, 2011, HYDROL PROCESS, V25, P2814, DOI 10.1002/hyp.8043
   Oliveira R, 1997, WATER RESOUR RES, V33, P839, DOI 10.1029/96WR03745
   Pagano TC, 2014, J HYDROMETEOROL, V15, P1692, DOI 10.1175/JHM-D-13-0188.1
   Paton FL, 2014, ENVIRON MODELL SOFTW, V60, P302, DOI 10.1016/j.envsoft.2014.06.018
   Postel SL, 1996, SCIENCE, V271, P785, DOI 10.1126/science.271.5250.785
   Rayner S, 2005, CLIMATIC CHANGE, V69, P197, DOI 10.1007/s10584-005-3148-z
   Reddy KV, 2007, DESALINATION, V205, P340, DOI 10.1016/j.desal.2006.03.558
   Richardson J., 2000, WATER RESOUR SER, V79
   Rygaard M, 2011, J ENVIRON MANAGE, V92, P185, DOI 10.1016/j.jenvman.2010.09.009
   SAHIN O, 2014, ENVIRON MODELL SOFTW, V75, P348, DOI DOI 10.1016/j.envsoft.2014.05.018
   Schwarz J., 1985, IAHS-AISH publication, P341
   SHAMIR U, 1980, EUR J OPER RES, V5, P332, DOI 10.1016/0377-2217(80)90163-0
   STEDINGER JR, 1984, WATER RESOUR RES, V20, P1499, DOI 10.1029/WR020i011p01499
   Sturm M, 2009, PHYS CHEM EARTH, V34, P776, DOI 10.1016/j.pce.2009.07.004
   Tchobanoglous G., 2011, DIRECT POTABLE REUSE
   Tewari PK, 2009, J ENVIRON MANAGE, V90, P265, DOI 10.1016/j.jenvman.2007.09.001
   Toze S, 2006, DESALINATION, V187, P41, DOI 10.1016/j.desal.2005.04.066
   Wada Y, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL044571
   Wei WS., 1994, TIME SERIES ANAL UNI
   Wittholz MK, 2008, DESALINATION, V229, P10, DOI 10.1016/j.desal.2007.07.023
   Zhao TTG, 2011, ADV WATER RESOUR, V34, P495, DOI 10.1016/j.advwatres.2011.01.004
NR 66
TC 6
Z9 9
U1 1
U2 28
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
SN 0043-1397
EI 1944-7973
J9 WATER RESOUR RES
JI Water Resour. Res.
PD AUG
PY 2016
VL 52
IS 8
BP 6137
EP 6155
DI 10.1002/2015WR018373
PG 19
WC Environmental Sciences; Limnology; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Marine & Freshwater Biology; Water
   Resources
GA DW5KT
UT WOS:000383684400024
OA Bronze
DA 2025-01-10
ER

PT J
AU Kabisch, N
   Frantzeskaki, N
   Pauleit, S
   Naumann, S
   Davis, M
   Artmann, M
   Haase, D
   Knapp, S
   Korn, H
   Stadler, J
   Zaunberger, K
   Bonn, A
AF Kabisch, Nadja
   Frantzeskaki, Niki
   Pauleit, Stephan
   Naumann, Sandra
   Davis, McKenna
   Artmann, Martina
   Haase, Dagmar
   Knapp, Sonja
   Korn, Horst
   Stadler, Jutta
   Zaunberger, Karin
   Bonn, Aletta
TI Nature-based solutions to climate change mitigation and adaptation in
   urban areas: perspectives on indicators, knowledge gaps, barriers, and
   opportunities for action
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE climate change; cobenefits; governance; nature-based solutions; urban
   areas
ID ECOSYSTEM SERVICES; GREEN SPACE; ENVIRONMENTAL STEWARDSHIP; CITIES;
   BIODIVERSITY; GOVERNANCE; SUSTAINABILITY; HEALTH; PARKS; CITY
AB Nature-based solutions promoting green and blue urban areas have significant potential to decrease the vulnerability and enhance the resilience of cities in light of climatic change. They can thereby help to mitigate climate change-induced impacts and serve as proactive adaptation options for municipalities. We explore the various contexts in which nature-based solutions are relevant for climate mitigation and adaptation in urban areas, identify indicators for assessing the effectiveness of nature-based solutions and related knowledge gaps. In addition, we explore existing barriers and potential opportunities for increasing the scale and effectiveness of nature-based solution implementation. The results were derived from an inter- and transdisciplinary workshop with experts from research, municipalities, policy, and society. As an outcome of the workshop discussions and building on existing evidence, we highlight three main needs for future science and policy agendas when dealing with nature-based solutions: (i) produce stronger evidence on nature-based solutions for climate change adaptation and mitigation and raise awareness by increasing implementation; (ii) adapt for governance challenges in implementing nature-based solutions by using reflexive approaches, which implies bringing together new networks of society, nature-based solution ambassadors, and practitioners; (iii) consider socio-environmental justice and social cohesion when implementing nature-based solutions by using integrated governance approaches that take into account an integrative and transdisciplinary participation of diverse actors. Taking these needs into account, nature-based solutions can serve as climate mitigation and adaptation tools that produce additional cobenefits for societal well-being, thereby serving as strong investment options for sustainable urban planning.
C1 [Kabisch, Nadja; Bonn, Aletta] UFZ Helmholtz Ctr Environm Res, Dept Ecosyst Serv, Leipzig, Germany.
   [Kabisch, Nadja; Bonn, Aletta] German Ctr Integrat Biodivers Res iDiv, Leipzig, Germany.
   [Kabisch, Nadja; Haase, Dagmar] Humboldt Univ, Dept Geog, Berlin, Germany.
   [Frantzeskaki, Niki] Erasmus Univ, DRIFT Dutch Res Inst Transit, Rotterdam, Netherlands.
   [Pauleit, Stephan] Tech Univ Munich, Strateg Landscape Planning & Management, D-80290 Munich, Germany.
   [Naumann, Sandra; Davis, McKenna] Inst Ecol, Berlin, Germany.
   [Artmann, Martina] Leibniz Inst Ecol Urban & Reg Dev IOER, Dresden, Germany.
   [Artmann, Martina] Salzburg Univ, Res Grp Urban & Landscape Ecol, A-5020 Salzburg, Austria.
   [Haase, Dagmar] UFZ Helmholtz Ctr Environm Res, Dept Computat Landscape Ecol, Leipzig, Germany.
   [Knapp, Sonja] UFZ Helmholtz Ctr Environm Res, Dept Commun Ecol, Leipzig, Germany.
   [Korn, Horst; Stadler, Jutta] German Fed Agcy Nat Conservat, Bonn, Germany.
   [Zaunberger, Karin] Commiss European Communities, Environm Directorate Gen, Brussels, Belgium.
   [Bonn, Aletta] Univ Jena, D-07745 Jena, Germany.
C3 Helmholtz Association; Helmholtz Center for Environmental Research
   (UFZ); Humboldt University of Berlin; Erasmus University Rotterdam -
   Excl Erasmus MC; Erasmus University Rotterdam; Technical University of
   Munich; Leibniz Institut fur okologische Raumentwicklung; Salzburg
   University; Helmholtz Association; Helmholtz Center for Environmental
   Research (UFZ); Helmholtz Association; Helmholtz Center for
   Environmental Research (UFZ); Friedrich Schiller University of Jena
RP Kabisch, N (corresponding author), UFZ Helmholtz Ctr Environm Res, Dept Ecosyst Serv, Leipzig, Germany.; Kabisch, N (corresponding author), German Ctr Integrat Biodivers Res iDiv, Leipzig, Germany.; Kabisch, N (corresponding author), Humboldt Univ, Dept Geog, Berlin, Germany.
RI Bonn, Aletta/A-2164-2013; Kabisch, Nadja/ABE-6198-2020; Frantzeskaki,
   Niki/AAN-1044-2021; Pauleit, Stephan/ISV-4685-2023; Knapp,
   Sonja/D-5989-2015; Bonn, Aletta/N-6809-2015
OI Davis, McKenna/0000-0003-4830-1120; Artmann,
   Martina/0000-0003-3119-4314; Kabisch, Nadja/0000-0002-8925-4423;
   Frantzeskaki, Niki/0000-0002-6983-448X; Pauleit,
   Stephan/0000-0002-0056-6720; Knapp, Sonja/0000-0001-5792-4691; Haase,
   Dagmar/0000-0003-4065-5194; Bonn, Aletta/0000-0002-8345-4600
FU German Federal Agency for Nature Conservation; German Federal Ministry
   for the Environment, Nature Conservation, Building and Nuclear Safety
   [3514 80 020A]
FX We would like to sincerely thank all participants for their active
   contribution to the expert workshop on which this paper builds. The
   workshop was hosted by the German Federal Agency for Nature Conservation
   on 10-11 March 2015, Isle of Vilm, Germany (full workshop information at
   https://www.bfn.de/22641+M52087573ab0.html). The author team is
   responsible for the insights presented in this paper. This work was
   supported by the German Federal Agency for Nature Conservation with
   funds of the German Federal Ministry for the Environment, Nature
   Conservation, Building and Nuclear Safety through the research project
   "Conferences on Climate Change and Biodiversity" (BIOCLIM, project
   duration from 2014-2017, funding code: 3514 80 020A).
CR Alexandria E, 2008, BUILD ENVIRON, V43, P480, DOI 10.1016/j.buildenv.2006.10.055
   Anguelovski I, 2013, INT J URBAN REGIONAL, V37, P1012, DOI 10.1111/1468-2427.12054
   [Anonymous], 2009, TECHN SER
   [Anonymous], 2012, EEA Report no. 12.
   [Anonymous], 2005, Ecosystems and Human Well being synthesis
   [Anonymous], 2015, Towards an EU research and innovation policy agenda for nature -based solutions & re-naturing cities, DOI DOI 10.2777/479582
   [Anonymous], 2015, GREEN INFRASTRUCTURE
   [Anonymous], 2011, TEEB MAN CIT EC SERV
   [Anonymous], 2011, BFN SKRIPTEN
   Artmann M, 2015, J URBAN PLAN DEV, V141, DOI 10.1061/(ASCE)UP.1943-5444.0000252
   Balian E., 2014, NATURE BASED SOLUTIO
   Baur JWR, 2013, LANDSCAPE URBAN PLAN, V117, P100, DOI 10.1016/j.landurbplan.2013.04.015
   Beninde J, 2015, ECOL LETT, V18, P581, DOI 10.1111/ele.12427
   Bodin Ö, 2009, GLOBAL ENVIRON CHANG, V19, P366, DOI 10.1016/j.gloenvcha.2009.05.002
   Bowler DE, 2010, LANDSCAPE URBAN PLAN, V97, P147, DOI 10.1016/j.landurbplan.2010.05.006
   Boyd E, 2015, AMBIO, V44, pS149, DOI 10.1007/s13280-014-0604-x
   Byrne J, 2009, PROG HUM GEOG, V33, P743, DOI 10.1177/0309132509103156
   Carrus G, 2015, LANDSCAPE URBAN PLAN, V134, P221, DOI 10.1016/j.landurbplan.2014.10.022
   Coaffee J., 2008, Public Policy and Administration, V23, P167, DOI [10.1177/0952076707086254, DOI 10.1177/0952076707086254]
   Colding J, 2013, ECOL ECON, V86, P156, DOI 10.1016/j.ecolecon.2012.10.016
   Connolly JJ, 2013, LANDSCAPE URBAN PLAN, V109, P76, DOI 10.1016/j.landurbplan.2012.07.001
   Cowan C, 2010, ENCA BFN WORKS DEV E, P5
   Crona B, 2010, ECOL SOC, V15
   de Groot RS, 2002, ECOL ECON, V41, P393, DOI 10.1016/S0921-8009(02)00089-7
   Debarbieux B, 2014, ENVIRON SCI POLICY, V42, P149, DOI 10.1016/j.envsci.2014.06.005
   Everard M, 2013, SCI TOTAL ENVIRON, V461, P170, DOI 10.1016/j.scitotenv.2013.05.010
   Fisher DR, 2012, ENVIRON POLIT, V21, P26, DOI 10.1080/09644016.2011.643367
   Frantzeskaki N, 2016, ENVIRON SCI POLICY, V58, P123, DOI 10.1016/j.envsci.2016.01.011
   Frantzeskaki N, 2014, AMBIO, V43, P542, DOI 10.1007/s13280-014-0512-0
   Frantzeskaki N, 2014, J CLEAN PROD, V65, P406, DOI 10.1016/j.jclepro.2013.09.023
   Fryd O, 2010, URBAN WATER J, V7, P367, DOI 10.1080/1573062X.2010.527352
   Gill SE, 2007, Built Environ, V33, P115, DOI [10.2148/benv.33.1.115, DOI 10.2148/BENV.33.1.115]
   Gobster PH, 1998, LANDSCAPE URBAN PLAN, V41, P43, DOI 10.1016/S0169-2046(98)00045-0
   Goddard MA, 2010, TRENDS ECOL EVOL, V25, P90, DOI 10.1016/j.tree.2009.07.016
   Graham M, 2012, ECOL SOC, V17, DOI 10.5751/ES-04887-170334
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Haase D, 2014, AMBIO, V43, P413, DOI 10.1007/s13280-014-0504-0
   Haase D, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0066531
   Haffenden J, 2015, TLS-TIMES LIT SUPPL, P6
   Hamann R, 2013, J CLEAN PROD, V50, P12, DOI 10.1016/j.jclepro.2012.11.017
   Hansen R, 2015, ECOSYST SERV, V12, P228, DOI 10.1016/j.ecoser.2014.11.013
   Hansen R, 2014, AMBIO, V43, P516, DOI 10.1007/s13280-014-0510-2
   Hunter AM, 2014, ECOL ENG, V63, P102, DOI 10.1016/j.ecoleng.2013.12.021
   Irvine KN, 2013, INT J ENV RES PUB HE, V10, P417, DOI 10.3390/ijerph10010417
   Johnson MF, 2014, GLOBAL ENVIRON CHANG, V29, P235, DOI 10.1016/j.gloenvcha.2014.10.006
   Kabisch N, 2015, BFN EXP WORKSH VILM
   Kabisch N, 2015, LAND USE POLICY, V42, P557, DOI 10.1016/j.landusepol.2014.09.005
   Kabisch N, 2013, LANDSCAPE URBAN PLAN, V110, P113, DOI 10.1016/j.landurbplan.2012.10.017
   Keniger LE, 2013, INT J ENV RES PUB HE, V10, P913, DOI 10.3390/ijerph10030913
   Kirkpatrick JB, 2013, LANDSCAPE URBAN PLAN, V119, P124, DOI 10.1016/j.landurbplan.2013.07.009
   Knapp S, 2010, PERSPECT PLANT ECOL, V12, P235, DOI 10.1016/j.ppees.2009.11.001
   Kronenberg J, 2015, ECOSYST SERV, V12, P218, DOI 10.1016/j.ecoser.2014.07.002
   Lohr Virginia I., 2004, Journal of Arboriculture, V30, P28
   Lyytimäki J, 2009, URBAN FOR URBAN GREE, V8, P309, DOI 10.1016/j.ufug.2009.09.003
   McMichael AJ, 2008, BRIT MED J, V336, P191, DOI 10.1136/bmj.39392.473727.AD
   Moore ML, 2011, ECOL SOC, V16
   Moseley D, 2013, LANDSCAPE URBAN PLAN, V116, P1, DOI 10.1016/j.landurbplan.2013.04.004
   Naumann S., 2015, Okosystembasierte Ansatze zur Anpassung an den Klimawandel und zum Klimaschutz im deutschsprachigen Raum
   Naumann Sandra., 2014, Nature-based approaches for climate change mitigation and adaptation. The challenges of climate change - partnering with nature
   Naumann Sandra., 2011, Assessment of the potential of ecosystem-based approaches to climate change adaptation and mitigation in Europe
   Niemelä J, 1999, BIODIVERS CONSERV, V8, P119, DOI 10.1023/A:1008817325994
   Pauleit S, 2011, URBAN ECOLOGY: PATTERNS, PROCESSES, AND APPLICATIONS, P272
   Pereira L, 2015, INT J ENV RES PUB HE, V12, P6027, DOI 10.3390/ijerph120606027
   Richardson EA, 2013, PUBLIC HEALTH, V127, P318, DOI 10.1016/j.puhe.2013.01.004
   Richter CH, 2015, FUTURES, V67, P40, DOI 10.1016/j.futures.2014.12.002
   Santamouris M, 2014, SOL ENERGY, V103, P682, DOI 10.1016/j.solener.2012.07.003
   Scherba A, 2011, BUILD ENVIRON, V46, P2542, DOI 10.1016/j.buildenv.2011.06.012
   Schmitt U, 2014, IAWA J, V35, P395, DOI 10.1163/22941932-00000074
   Science for Environment Policy, 2015, 11 U W ENGL EUR COMM
   Seto K. C., 2011, PLOS ONE, V6, DOI DOI 10.1371/journal.pone.0023777
   Seymour M, 2010, APPL GEOGR, V30, P380, DOI 10.1016/j.apgeog.2009.11.002
   Sparks TH, 2011, ORYX, V45, P411, DOI 10.1017/S003060531100024X
   Spruijt P, 2014, ENVIRON SCI POLICY, V40, P16, DOI 10.1016/j.envsci.2014.03.002
   Visseren-Hamakers IJ, 2012, SUSTAIN DEV, V20, P264, DOI 10.1002/sd.482
   von Döhren P, 2015, ECOL INDIC, V52, P490, DOI 10.1016/j.ecolind.2014.12.027
   White MP, 2013, PSYCHOL SCI, V24, P920, DOI 10.1177/0956797612464659
   White P., 2005, Disaster risk reduction: a development concern. A scoping study on links between disaster risk reduction
   Wolch JR, 2014, LANDSCAPE URBAN PLAN, V125, P234, DOI 10.1016/j.landurbplan.2014.01.017
   Woolthuis RK, 2013, J CLEAN PROD, V50, P91, DOI 10.1016/j.jclepro.2012.11.031
   World Health Organization and Secretariat of the Convention on Biodiversity, 2015, CONN GLOB PRIOR BIOD
   Yang J, 2008, ATMOS ENVIRON, V42, P7266, DOI 10.1016/j.atmosenv.2008.07.003
NR 81
TC 747
Z9 795
U1 117
U2 1199
PU RESILIENCE ALLIANCE
PI WOLFVILLE
PA ACADIA UNIV, BIOLOGY DEPT, WOLFVILLE, NS B0P 1X0, CANADA
SN 1708-3087
J9 ECOL SOC
JI Ecol. Soc.
PY 2016
VL 21
IS 2
AR 39
DI 10.5751/ES-08373-210239
PG 15
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA DR6ZF
UT WOS:000380049100024
OA Green Published, gold, Green Submitted
HC Y
HP N
DA 2025-01-10
ER

PT J
AU Hughey, KFD
   Becken, S
AF Hughey, Kenneth F. D.
   Becken, Susanne
TI Understanding climate coping as a basis for strategic climate change
   adaptation - The case of Queenstown-Lake Wanaka, New Zealand
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Tourism; Climate Change; Coping; Adaptive Capacity; Environmental
   Gradients; Viability
ID ADAPTIVE CAPACITY; TOURISM; WEATHER; DESTINATION; RESILIENCE; FRAMEWORK;
   POLICY
AB Weather conditions that influence natural resource-based tourist destinations are likely to be affected by climate change, but our understanding of how businesses and destinations manage for present and future conditions is limited. In this study we report on the relationships between weather and tourism activities in the Queenstown-Lake Wanaka region, South Island, New Zealand. Key stakeholder interviews and a workshop form the empirical basis of this paper. Coping range application ideas derived from ecological management literature are used to develop a framework to understand and inform thinking and strategies around how tourism businesses and destinations are currently responding to the weather and perhaps could in future respond to climate change. Results show that within a destination individual businesses have widely varying relationships with the weather, with each type of activity operating within its own coping range to particular environmental gradients, for example temperature. Coping, which can be observed outside the 'ideal' range of a particular environmental gradient, requires business adjustments so as to cope with increasingly marginal conditions, up to a Critical Stop Point - the ultimate threshold. The data suggest that increased need for adjustments impacts on business viability, and more planned adaptation measures would be necessary to increase viability under increasingly detrimental climatic conditions. Discussion at a destination level workshop indicates that at and beyond thresholds, keystone industry and destination level strategic adaptation planning is required to ensure the viability of the destination as a whole. (C) 2014 Published by Elsevier Ltd.
C1 [Hughey, Kenneth F. D.] Dept Environm Management, Christchurch 7647, New Zealand.
   [Becken, Susanne] Griffith Univ, Dept Tourism Hotel & Sport Management, Gold Coast Campus, Qld 4222, Australia.
C3 Griffith University; Griffith University - Gold Coast Campus
RP Hughey, KFD (corresponding author), Dept Environm Management, POB 85084, Christchurch 7647, New Zealand.
EM ken.hughey@lincoln.ac.nz; s.becken@griffith.edu.au
RI Becken, Susanne/AFK-2875-2022; Hughey, Ken/E-8229-2012
OI Hughey, Ken/0000-0002-1659-5331; Becken, Susanne/0000-0002-3348-2750
FU Foundation of Research Science and Technology
FX The research reported in this paper is the culmination of an integrated
   research programme funded by the Foundation of Research Science and
   Technology - in this context we acknowledge Dr J. Hendrikx for the
   regional level climate change modelling which has helped inform a
   component of this paper. We thank also all the tourism stakeholders in
   Queenstown and Wanaka who shared their knowledge and thoughts with us.
   We also thank Destination Queenstown for assisting with organising the
   stakeholder workshop. Finally, our appreciation goes to Dr Jude Wilson
   from Lincoln University for providing critical feedback on the final
   draft of this paper.
CR Agrawala S., 2007, Climate change in the European Alps: adapting winter tourism and natural hazards management
   [Anonymous], REGIONAL ENV CHANGE
   Becken S., 2014, J TRAVEL RE IN PRESS
   Becken S, 2013, ANN TOURISM RES, V43, P506, DOI 10.1016/j.annals.2013.06.002
   Becken S, 2013, J TRAVEL RES, V52, P156, DOI 10.1177/0047287512461569
   Becken S, 2011, J POLICY RES TOUR LE, V3, P1, DOI 10.1080/19407963.2011.539378
   Beermann M, 2011, J CLEAN PROD, V19, P836, DOI 10.1016/j.jclepro.2010.10.017
   Berman R, 2012, ENVIRON DEV, V2, P86, DOI 10.1016/j.envdev.2012.03.017
   Bicknell S, 2006, GEOGR RES-AUST, V44, P386, DOI 10.1111/j.1745-5871.2006.00409.x
   Cavicchioli R, 2006, NAT REV MICROBIOL, V4, P331, DOI 10.1038/nrmicro1390
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Folland CK, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, P99
   Forsyth J., 2005, PLAN Q          0317
   Füssel HM, 2007, GLOBAL ENVIRON CHANG, V17, P155, DOI 10.1016/j.gloenvcha.2006.05.002
   Getz D, 2004, TOURISM MANAGE, V25, P17, DOI 10.1016/S0261-5177(03)00067-0
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Hearnshaw EJS, 2012, SCI TOTAL ENVIRON, V420, P13, DOI 10.1016/j.scitotenv.2011.12.054
   Hein L, 2009, CURR OPIN ENV SUST, V1, P170, DOI 10.1016/j.cosust.2009.10.011
   Hendrikx J, 2013, CLIMATIC CHANGE, V119, P965, DOI 10.1007/s10584-013-0741-4
   Hoffmann VH, 2009, GLOBAL ENVIRON CHANG, V19, P256, DOI 10.1016/j.gloenvcha.2008.12.002
   Jopp R, 2010, CURR ISSUES TOUR, V13, P591, DOI 10.1080/13683501003653379
   Klint L. M., 2012, Tourism in Marine Environments, V8, P91, DOI 10.3727/154427312X13262430524225
   Liu CL, 2008, GLOBAL ENVIRON CHANG, V18, P543, DOI 10.1016/j.gloenvcha.2008.09.002
   LYNCH M, 1987, AM NAT, V129, P283, DOI 10.1086/284635
   Marshall NA, 2010, GLOBAL ENVIRON CHANG, V20, P36, DOI 10.1016/j.gloenvcha.2009.10.003
   Meehl GA, 2000, B AM METEOROL SOC, V81, P413, DOI 10.1175/1520-0477(2000)081<0413:AITTIE>2.3.CO;2
   Miller F, 2010, ECOL SOC, V15
   Niinemets U., 2008, ENCY ECOLOGY, P1370
   NIWA, 2001, OV NZ CLIM
   Power ME, 1996, BIOSCIENCE, V46, P609, DOI 10.2307/1312990
   Ruhanen L, 2013, ASIA PAC J TOUR RES, V18, P35, DOI 10.1080/10941665.2012.688510
   Saarinen J, 2006, INT J INNOV SUSTAIN, V1, P214, DOI 10.1504/IJISD.2006.012423
   Scott D., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P1411, DOI 10.1007/s11027-006-9071-4
   Scott D., 2011, P ENV SCI, V1, P146
   SHELFORD V. E., 1931, ECOLOGY, V12, P455, DOI 10.2307/1928991
   Shelford V.E., 1913, HIST ECOL
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smit B, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P877
   Soulé ME, 2005, BIOSCIENCE, V55, P168, DOI 10.1641/0006-3568(2005)055[0168:SISCPM]2.0.CO;2
   Statistics New Zealand, 2013, COMM ACC MON
   Stewart Alan E., 2009, V1, P211, DOI 10.1007/978-1-4020-8921-3_10
   Tompkins EL, 2005, ENVIRON SCI POLICY, V8, P562, DOI 10.1016/j.envsci.2005.06.012
   Tompkins EL, 2012, GLOBAL ENVIRON CHANG, V22, P3, DOI 10.1016/j.gloenvcha.2011.09.010
   Tourism Queenstown, 2013, QUEENST GLANC
   Trenberth KE, 2012, CLIMATIC CHANGE, V115, P283, DOI 10.1007/s10584-012-0441-5
   Turton S, 2010, J SUSTAIN TOUR, V18, P429, DOI 10.1080/09669581003639814
   Walker B., 2004, Ecology and Society, V9, P5
   ,, 2007, Climate change 2007: Synthesis Report. Contribution of Working Group I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Summary for Policymakers
NR 48
TC 15
Z9 18
U1 1
U2 61
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-3780
EI 1872-9495
J9 GLOBAL ENVIRON CHANG
JI Glob. Environ. Change-Human Policy Dimens.
PD JUL
PY 2014
VL 27
BP 168
EP 179
DI 10.1016/j.gloenvcha.2014.03.004
PG 12
WC Environmental Sciences; Environmental Studies; Geography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA AO0HT
UT WOS:000340990400017
DA 2025-01-10
ER

PT J
AU Campos, M
   Velázquez, A
   McCall, M
AF Campos, Minerva
   Velazquez, Alejandro
   McCall, Michael
TI Adaptation strategies to climatic variability: A case study of
   small-scale farmers in rural Mexico
SO LAND USE POLICY
LA English
DT Article
DE Climate change; Adaptive capacity; Social vulnerability; Landscape;
   Environmental services; Mexico
ID ADAPTIVE CAPACITY; VULNERABILITY; RESILIENCE; FRAMEWORK; SUSTAINABILITY;
   SMALLHOLDER; PERCEPTION; LANDSCAPE; MICHOACAN; COMMUNITY
AB Climate change is predicted to have major consequences for small-scale farmers in the developing rural areas of the world. Rural areas, nonetheless, harbor opportunities to mitigate global climate changes. Identification of innovative adaptation strategies used by small-scale farmers, therefore, is crucial in order to understand the extent of their implications. This paper identifies the relationships between livelihood units and landscapes that they depend upon, in a small-scale farm community. It examines their experiences of increasing climatic variability, and how the different groups in the community are adapting to it. The study was conducted in a typical rural ejido community on the Pacific coast of Mexico (Ejido Ticuiz), where a detailed socio-cultural profile was obtained by means of semi-structured interviews. In the study area we encountered a range of individual and community-based adaptation strategies, built on farmers' recognition of the different types of landscapes which supply goods and benefits. Small-scale farmers have used their landscape diversity to build adaptation strategies to guarantee the supply of goods and benefits to cope with uncertain of climate events. Households rather than individuals or the community as an institution were depicted as the core socio-cultural group for better understanding of patterns, behavior and aspirations related to climate change adaptation at local level. The adaptation capacities of rural communities could be significantly strengthened if political, financial and institutional support is targeted at households rather than at individuals or the community level only. (C) 2014 Elsevier Ltd. All rights reserved.
C1 [Campos, Minerva] Univ Autonoma Barcelona, Inst Ciencia & Tecnol Ambientals, E-08193 Barcelona, Spain.
   [Velazquez, Alejandro; McCall, Michael] Univ Nacl Autanoma Mexico, Ctr Invest Geog Ambiental, Morelia 58190, Michoacan, Mexico.
C3 Autonomous University of Barcelona
RP Velázquez, A (corresponding author), Univ Nacl Autanoma Mexico, Ctr Invest Geog Ambiental, Antigua Carretera Patzcuaro 8701, Morelia 58190, Michoacan, Mexico.
EM mine.campos.sanchez@gmail.com; alex@ciga.unam.mx; mkmccall@gmail.com
RI Velázquez, Alejandro/JAO-0493-2023; McCall, Michael/A-9050-2012
OI Velazquez, Alejandro/0000-0002-6353-2894; Campos,
   Minerva/0000-0001-5929-2827; McCall, Michael/0000-0002-6405-3369
CR Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P75, DOI 10.1016/j.gloenvcha.2005.03.001
   Alscher Stefan., 2009, ENV FACTORS MEXICAN
   [Anonymous], 4 ASS REP
   [Anonymous], ANAL EC
   [Anonymous], 2009, AGR CROSSROADS
   [Anonymous], 29 AIACC
   [Anonymous], 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   [Anonymous], CLIMATE CHANGE ADAPT
   [Anonymous], ATL GEOGR EST MICH
   APPENDINI K, 1994, FOOD POLICY, V19, P149, DOI 10.1016/0306-9192(94)90067-1
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   Bolin Bob., 2007, HDB DISASTER RES, P113, DOI [10.1007/978-0-387-32353-4_7, DOI 10.1007/978-0-387-32353-4_7]
   Borgatti StevenP., 1996, ANTHROPAC 4.0
   Bray DB, 2013, J LAT AM GEOGR, V12, P33, DOI 10.1353/lag.2013.0003
   Bray DB., 2007, Los Bosques Comunitarios de Mexico. Manejo sustentable de pauisajes forestales
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Buechler S., 2009, Gender and Development, V17, P51, DOI 10.1080/13552070802696912
   Campos M, 2012, SOC NATUR RESOUR, V25, P759, DOI 10.1080/08941920.2011.606458
   Campos M, 2012, APPL GEOGR, V32, P409, DOI 10.1016/j.apgeog.2011.06.004
   Sánchez MC, 2011, J MAPS, V7, P42, DOI 10.4113/jom.2011.1098
   Castillo A, 2005, ECOSYSTEMS, V8, P630, DOI 10.1007/s10021-005-0127-1
   Conde C., 2003, Climate Change: Adaptive Capacity and Development, P241
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Denton F., 2002, Gender and Development, V10, P10, DOI 10.1080/13552070215903
   Durand L, 2008, HUM ECOL, V36, P383, DOI 10.1007/s10745-008-9172-7
   Eakin H, 2005, WORLD DEV, V33, P1923, DOI 10.1016/j.worlddev.2005.06.005
   Eakin H, 2000, CLIMATIC CHANGE, V45, P19, DOI 10.1023/A:1005628631627
   Eakin H., 2012, REG ENVIRON CHANGE, V22, P223
   Eakin HC, 2009, CLIMATIC CHANGE, V93, P355, DOI 10.1007/s10584-008-9514-x
   Enarson Elaine., 2003, Working with Women at risk: Practical Guidelines for Assessing Local Disaster Risk
   Feng SZ, 2010, P NATL ACAD SCI USA, V107, P14257, DOI 10.1073/pnas.1002632107
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Gay C, 2006, CLIMATIC CHANGE, V79, P259, DOI 10.1007/s10584-006-9066-x
   GRAMLING R, 1992, RURAL SOCIOL, V57, P216, DOI 10.1111/j.1549-0831.1992.tb00464.x
   Holling C. S., 2002, Panarchy: understanding transformations in human and natural systems
   Ibarraran Maria E., 2010, Environment Development and Sustainability, V12, P365, DOI 10.1007/s10668-009-9201-8
   Janssen MA, 2006, GLOBAL ENVIRON CHANG, V16, P237, DOI 10.1016/j.gloenvcha.2006.04.003
   Joo W, 2011, LANDSCAPE URBAN PLAN, V103, P259, DOI 10.1016/j.landurbplan.2011.08.001
   Jungehulsing J., 2010, WOMEN WHO GO WOMEN W
   Kelly JH, 2010, J LAT AM GEOGR, V9, P161, DOI 10.1353/lag.2010.0026
   Lambrou Y., 2005, GENDER MISSING COMPO
   LIVERMAN DM, 1991, GLOBAL ENVIRON CHANG, V1, P351, DOI 10.1016/0959-3780(91)90002-B
   Liverman DM, 1999, NAT RESOUR J, V39, P99
   Magana V, 2004, CAMBIO CLIMATICO VIS, P203
   Marshall NA, 2007, ECOL SOC, V12, DOI 10.5751/es-01940-120101
   Mertz O, 2009, ENVIRON MANAGE, V43, P804, DOI 10.1007/s00267-008-9197-0
   Meza FJ, 2009, CLIMATIC CHANGE, V94, P143, DOI [10.1007/s10584-009-9544-z, 10.1007/s10584-009-9544-Z]
   Morton JF, 2007, P NATL ACAD SCI USA, V104, P19680, DOI 10.1073/pnas.0701855104
   Moser SC, 2010, APPL GEOGR, V30, P464, DOI 10.1016/j.apgeog.2009.09.003
   Nicholas KA, 2012, GLOBAL ENVIRON CHANG, V22, P483, DOI 10.1016/j.gloenvcha.2012.01.001
   Ostrom E, 2009, SCIENCE, V325, P419, DOI 10.1126/science.1172133
   Peacock W., 2012, ROUTLEDGE HDB HAZARD, P687
   Pincha Chaman., 2008, Gender Sensitive Disaster Management: A Toolkit for Practitioners
   Reid S., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P609, DOI 10.1007/s11027-006-9051-8
   Sáenz-Romero C, 2012, REV FITOTEC MEX, V35, P333
   Sáenz-Romero C, 2010, CLIMATIC CHANGE, V102, P595, DOI 10.1007/s10584-009-9753-5
   Samaniego J., 2009, CAMBIO CLIMATICO DES, P148
   Scheffer M, 2001, NATURE, V413, P591, DOI 10.1038/35098000
   Schroth G, 2009, MITIG ADAPT STRAT GL, V14, P605, DOI 10.1007/s11027-009-9186-5
   Simon D., 2012, The Routledge handbook of hazards and disaster risk reduction, P207
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smith J.B., 2003, CLIMATE CHANGE ADAPT
   Smith J.Jerome., 1993, Field Methods, V5, P1, DOI DOI 10.1177/1525822X9300500301
   Thomas RJ, 2008, AGR ECOSYST ENVIRON, V126, P36, DOI 10.1016/j.agee.2008.01.011
   Thompson EC, 2006, FIELD METHOD, V18, P398, DOI 10.1177/1525822X06293128
   Tompkins EL, 2004, ECOL SOC, V9
   Tucker CM, 2010, GLOBAL ENVIRON CHANG, V20, P23, DOI 10.1016/j.gloenvcha.2009.07.006
   Veláquez A, 2001, ENVIRON MANAGE, V27, P655
   Wangui E. E., 2012, REV GEOGR ALP, P100, DOI DOI 10.4000/RGA.1701;ACCESSED
   Weaver PM, 2006, INT J INNOV SUSTAIN, V1, P238, DOI 10.1504/IJISD.2006.012425
   Weller SusanC., 1998, HDB METHODS CULTURAL
   Wisner B., 2004, AT RISK, V2nd
NR 73
TC 37
Z9 40
U1 2
U2 82
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0264-8377
EI 1873-5754
J9 LAND USE POLICY
JI Land Use Pol.
PD MAY
PY 2014
VL 38
BP 533
EP 540
DI 10.1016/j.landusepol.2013.12.017
PG 8
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA AG4XQ
UT WOS:000335424100050
OA Green Published
DA 2025-01-10
ER

PT J
AU Vallejo, VR
   Smanis, A
   Chirino, E
   Fuentes, D
   Valdecantos, A
   Vilagrosa, A
AF Vallejo, V. Ramon
   Smanis, Athanasios
   Chirino, Esteban
   Fuentes, David
   Valdecantos, Alejandro
   Vilagrosa, Alberto
TI Perspectives in dryland restoration: approaches for climate change
   adaptation
SO NEW FORESTS
LA English
DT Article
DE Mediterranean ecosystems; Nursery cultivation; Reforestation; Species
   selection; Water harvesting
ID OAK QUERCUS-ILEX; SEMIARID LOESS REGION; FIELD PERFORMANCE;
   SOIL-MOISTURE; CARAGANA-KORSHINSKII; WATER CONSERVATION; SEEDLING
   SURVIVAL; GROWING MEDIA; FOG WATER; GROWTH
AB Reforestation efforts in dryland ecosystems frequently encounter drought and limited soil productivity, although both factors usually interact synergistically to worsen water stress for outplanted seedlings. Land degradation in drylands (e.g. desertification) usually reduces soil productivity and, especially, soil water availability. In dry sub-humid regions, forest fires constitute a major disturbance affecting ecosystem dynamics and reforestation planning. Climate change projections indicate an increase of drought and more severe fire regime in many dryland regions of the world. In this context, the main target of plantation technology development is to overcome transplant shock and likely adverse periods, and in drylands this is mostly related to water limitations. In this paper, we discuss some selected steps that we consider critical for improving success in outplanting woody plants, both under current and projected climate change conditions including: (1) Plant species selection, (2) Improved nursery techniques, and (3) Improved planting techniques. The number of plant species used in reforestation is increasing rapidly, moving from a reduced set of well-known, easy-to-grow, widely used species, to a large variety of promising native species. Available technologies allow for reintroducing native plants and recovering critical ecosystem functions for many degraded drylands. However, climate change projections introduce large uncertainties about the sustainability of current reforestation practices. To cope with these uncertainties, adaptive restoration approaches are suggested, on the basis of improved plant quality, improved techniques for optimizing rain use efficiency in plantations, and exploring native plant species, including provenances and genotypes, for their resilience to fire and water use efficiency.
C1 [Vallejo, V. Ramon; Smanis, Athanasios; Chirino, Esteban; Fuentes, David; Valdecantos, Alejandro; Vilagrosa, Alberto] Univ Alicante, Fdn Comunidad Valenciana, CEAM, Unidad Mixta Invest,Fdn CEAM, Valencia 46980, Spain.
C3 Universitat d'Alacant
RP Valdecantos, A (corresponding author), Univ Alicante, Fdn Comunidad Valenciana, CEAM, Unidad Mixta Invest,Fdn CEAM, Parque Tecnol,C Charles Darwin 14, Valencia 46980, Spain.
EM a.valdecantos@ua.es
RI Vilagrosa, Alberto/B-3150-2008; Vallejo, V./L-8688-2014; Valdecantos,
   Alejandro/M-2080-2013; Chirino, Esteban/D-5936-2012
OI Vallejo, V. Ramon/0000-0002-6559-9451; Valdecantos,
   Alejandro/0000-0002-3761-3500; Chirino, Esteban/0000-0002-3766-8595;
   Vilagrosa, Alberto/0000-0002-1432-1214; Fuentes Delgado,
   David/0000-0003-0694-4099
FU European Commission [FUME - GA243888, CREOAK - QLRT-2001-01594]; Spanish
   Ministry of Science and Innovation [GRACCIE-CSD2007-00067,
   LORAIN-AGL2008-05532-C02-02, SURVIVE-CGL-2011-30531-CO2-02]; Spanish
   Ministry of Environment [RE-CUVES - 077/RN08/04.1, 063/SGTB/2007/7.1];
   Regional Government of Valencia [GV 05/208, GVPRE/2008/085,
   FEEDBACKS-PROMETEO/2009/006]; Forest Service in Alicante (Conselleria de
   Medi Ambient, Aigua, Urbanisme i Habitatge, Regional Government of
   Valencia); Generalitat Valenciana; Fundacion Bancaja
FX This paper summarizes some of the outputs generated from research
   projects funded by the European Commission (FUME - GA243888, and CREOAK
   - QLRT-2001-01594), by the Spanish Ministries of Science and Innovation
   (GRACCIE-CSD2007-00067, CONSOLIDER-INGENIO 2010 Program,
   LORAIN-AGL2008-05532-C02-02, SURVIVE-CGL-2011-30531-CO2-02) and
   Environment (RE-CUVES - 077/RN08/04.1; ESTRES, 063/SGTB/2007/7.1), and
   by the Regional Government of Valencia (APLITEC, GV 05/208; INNOVA,
   GVPRE/2008/085; FEEDBACKS-PROMETEO/2009/006). Special thanks to the
   Forest Service in Alicante (Conselleria de Medi Ambient, Aigua,
   Urbanisme i Habitatge, Regional Government of Valencia) for the support
   given to research. We sincerely thank Carla D'Antonio for her comments
   and suggestions on the manuscript and the revision of the English
   version. Fundacion CEAM is supported by Generalitat Valenciana and
   Fundacion Bancaja.
CR Abdelkdair A, 2005, AGROFOREST SYST, V63, P291, DOI 10.1007/s10457-005-5746-1
   Ackerly D, 2004, ECOL MONOGR, V74, P25, DOI 10.1890/03-4022
   Akhter J, 2004, PLANT SOIL ENVIRON, V50, P463, DOI 10.17221/4059-PSE
   Al-Humaid AI, 2007, J PLANT NUTR, V30, P53, DOI 10.1080/01904160601054973
   Alloza JA., 1999, ECOLOGIA, V13, P173
   Alloza JA, 2003, THESIS U VALENCIA
   [Anonymous], 2007, Cambio climatico 2007: Informe de sintesis
   [Anonymous], 2005, PLANT EVOLUTION MEDI, DOI DOI 10.1093/ACPROF:OSO/9780198515340.001.0001
   Arbona V, 2005, PLANT SOIL, V270, P73, DOI 10.1007/s11104-004-1160-0
   Baeza MJ, 2005, NEW RESEARCH ON FOREST ECOSYSTEMS, P37
   Baeza MJ, 2002, J ENVIRON MANAGE, V65, P199, DOI 10.1006/jema.2002.0545
   Bainbridge DavidA., 2007, A Guide for Desert and Dryland Restoration
   Bocio I, 2004, ANN FOREST SCI, V61, P171, DOI 10.1051/forest:2004009
   BOURANIS DL, 1995, COMMUN SOIL SCI PLAN, V26, P1455, DOI 10.1080/00103629509369384
   Canadell J., 1995, Ecology and Biogeography of Mediterranean Ecosystems in Chile, California and Australia, P177
   Casals P, 2000, BIOGEOCHEMISTRY, V48, P261, DOI 10.1023/A:1006289905991
   Chirino E, 2008, FOREST ECOL MANAG, V256, P779, DOI 10.1016/j.foreco.2008.05.035
   Chirino E, 2009, FOREST MANAGEMENT, P85
   Chirino E, 2003, CUAD SOC ESP CIENC F, V17, P51
   Chirino E, 2009, 5 C FOR ESP SOC ESP
   Chirino E, 2011, PLANT SOIL, V344, P99, DOI 10.1007/s11104-011-0730-1
   Cortina J, 2006, CALIDAD PLANTA FORES
   Cortina J., 2004, Restauracion en semiarido. Avances en el estudio de La gestion del Monte Mediterraneo, P345
   CREGG BM, 1994, TREE PHYSIOL, V14, P883, DOI 10.1093/treephys/14.7-8-9.883
   Dawson TE, 1998, OECOLOGIA, V117, P476, DOI 10.1007/s004420050683
   del Campo AD, 2010, NEW FOREST, V39, P19, DOI 10.1007/s11056-009-9152-9
   Domingo F, 1999, AGR FOREST METEOROL, V95, P67, DOI 10.1016/S0168-1923(99)00031-3
   Dominguez-Lerena S, 2006, FOREST ECOL MANAG, V221, P63, DOI 10.1016/j.foreco.2005.08.031
   EC-European Commission, 1999, DIRECTORATE GEN SCI, P87
   Edwards F.S., 2000, ECOL RESTOR, V18, P100
   Estrela MJ, 2009, AGR FOREST METEOROL, V149, P1896, DOI 10.1016/j.agrformet.2009.06.016
   FERRAN A, 1992, RESPONSES OF FOREST ECOSYSTEMS TO ENVIRONMENTAL CHANGES, P397
   Ferrándiz AS, 2006, ANN FOREST SCI, V63, P15, DOI 10.1051/forest:2005094
   Frantz JM, 2005, HORTSCIENCE, V40, P2040, DOI 10.21273/HORTSCI.40.7.2040
   Fuentes D, 2009, EECA ECOLOGICAL ENG
   Fuentes D, 2004, CUAD SOC ESP CIEN FO, V17, P157
   Garcia-Forner N, 2010, CARACTERITZACIO MORF
   Gibbens RP, 2001, J ARID ENVIRON, V49, P221, DOI 10.1006/jare.2000.0784
   Grantz DA, 1998, J ENVIRON QUAL, V27, P960, DOI 10.2134/jeq1998.00472425002700040033x
   Groeneveld J, 2002, J ECOL, V90, P762, DOI 10.1046/j.1365-2745.2002.00712.x
   GUPTA GN, 1994, FOREST ECOL MANAG, V70, P329, DOI 10.1016/0378-1127(94)90098-1
   Harris JA, 2006, RESTOR ECOL, V14, P170, DOI 10.1111/j.1526-100X.2006.00136.x
   Hernández EI, 2010, PLANT ECOL, V207, P233, DOI 10.1007/s11258-009-9668-2
   Hernández EI, 2011, PLANT ECOL, V212, P1959, DOI 10.1007/s11258-011-9976-1
   Hernández EI, 2009, ENVIRON EXP BOT, V67, P269, DOI 10.1016/j.envexpbot.2009.07.004
   Hernandez EI, 2010, THESIS U ALICANTE SP
   HERRERA CM, 1992, AM NAT, V140, P421, DOI 10.1086/285420
   Hüttermann A, 1999, SOIL TILL RES, V50, P295, DOI 10.1016/S0167-1987(99)00023-9
   Jacobsen AL, 2007, ECOL MONOGR, V77, P99, DOI 10.1890/05-1879
   Katra I, 2008, CATENA, V72, P49, DOI 10.1016/j.catena.2007.04.001
   Kosmas C, 1998, AGR WATER MANAGE, V36, P157, DOI 10.1016/S0378-3774(97)00050-4
   Landis TD, 1998, AGR HDB, V6
   Li XY, 2008, AGR WATER MANAGE, V95, P539, DOI 10.1016/j.agwat.2007.12.005
   Li XY, 2006, FOREST ECOL MANAG, V233, P143, DOI 10.1016/j.foreco.2006.06.013
   Li XY, 2006, J HYDROL, V328, P338, DOI 10.1016/j.jhydrol.2005.12.002
   Li XY, 2000, ANN ARID ZONE, V39, P377
   Li XY, 2003, CATENA, V52, P105, DOI 10.1016/S0341-8162(02)00181-9
   Maestre FT, 2003, ECOSYSTEMS, V6, P630, DOI 10.1007/s10021-002-0222-5
   Marfà O, 2002, SCI HORTIC-AMSTERDAM, V94, P309, DOI 10.1016/S0304-4238(01)00383-1
   Martinez-Mena M, 1998, HYDROL PROCESS, V12, P741, DOI 10.1002/(SICI)1099-1085(19980430)12:5<741::AID-HYP622>3.0.CO;2-F
   Mayor AG, 2011, J HYDROL, V397, P128, DOI 10.1016/j.jhydrol.2010.11.039
   Moreira B, 2010, ANN BOT-LONDON, V105, P627, DOI 10.1093/aob/mcq017
   Navarro RM, 2006, CALIDAD PLANTA FORES, P31
   Ochoa J, 2009, ACTA HORTIC, V843, P367
   Oliet J, 2002, NEW FOREST, V23, P31, DOI 10.1023/A:1015668815037
   Oliet JA, 2009, NEW FOREST, V37, P313, DOI 10.1007/s11056-008-9126-3
   Owen JS, 2008, ACTA HORTIC, P131, DOI 10.17660/ActaHortic.2008.779.14
   Padilla FM, 2007, FUNCT ECOL, V21, P489, DOI 10.1111/j.1365-2435.2007.01267.x
   Paula S, 2006, FUNCT ECOL, V20, P941, DOI 10.1111/j.1365-2435.2006.01185.x
   Paula S, 2011, OECOLOGIA, V165, P321, DOI 10.1007/s00442-010-1806-y
   Pausas J.G., 1999, Remote Sensing of Large Wildfires in the European Mediterranean Basin, p2.1
   Pausas JG, 2004, CLIMATIC CHANGE, V63, P337, DOI 10.1023/B:CLIM.0000018508.94901.9c
   Pemán J, 2006, ANN FOREST SCI, V63, P425, DOI 10.1051/forest:2006022
   Pinto JR, 2012, CAN J FOREST RES, V42, P333, DOI [10.1139/X11-189, 10.1139/x11-189]
   POESEN J, 1994, CATENA, V23, P1, DOI 10.1016/0341-8162(94)90050-7
   POESEN J, 1992, CATENA, V19, P451, DOI 10.1016/0341-8162(92)90044-C
   Poesen J., 1996, Mediterranean desertification and land use., P247
   Pratt RB, 2010, FUNCT ECOL, V24, P70, DOI 10.1111/j.1365-2435.2009.01613.x
   Puértolas J, 2003, FORESTRY, V76, P159, DOI 10.1093/forestry/76.2.159
   Puigdefábregas J, 2005, EARTH SURF PROC LAND, V30, P133, DOI 10.1002/esp.1181
   Quezel Pierre, 1995, Ecologia Mediterranea, V21, P19
   Ritter A, 2008, J HYDROMETEOROL, V9, P920, DOI 10.1175/2008JHM992.1
   Salem B., 1989, Arid zone forestry: a guide for field technicians
   Sarvas M., 2007, Journal of Forest Science (Prague), V53, P204, DOI 10.17221/2178-JFS
   Schwilk DW, 2001, OIKOS, V94, P326, DOI 10.1034/j.1600-0706.2001.940213.x
   Schwinning S, 2004, OECOLOGIA, V141, P191, DOI 10.1007/s00442-004-1683-3
   Smanis A, 2011, MEDECOS 12 LINKING S
   South DB, 2005, FOREST ECOL MANAG, V204, P385, DOI 10.1016/j.foreco.2004.09.016
   Trubat R, 2011, ECOL ENG, V37, P1164, DOI 10.1016/j.ecoleng.2011.02.015
   Tsakaldimi M, 2005, PLANT SOIL, V278, P85, DOI 10.1007/s11104-005-2580-1
   Tubeileh Ashraf, 2009, Environment Development and Sustainability, V11, P1073, DOI 10.1007/s10668-008-9167-y
   Tyler CM, 2008, FOREST ECOL MANAG, V255, P3063, DOI 10.1016/j.foreco.2008.01.073
   Valdecantos A, 2006, ANN FOREST SCI, V63, P249, DOI 10.1051/forest:2006003
   Valdecantos A, 2009, SER WORLD C MAK CHAN
   Vallejo R, 1998, LARGE FOREST FIRES, P91
   Vallejo R., 2006, Restoration ecology. The new frontier, P193
   Vallejo V.R., 2012, Restoration ecology: The new frontier, V2nd, P130, DOI DOI 10.1002/9781118223130.CH11
   Vallejo VR., 2009, Land Restoration to Combat Desertification: Innovative Approaches, Quality Control and Project Evaluation, P13
   van Andel Jelte, 1998, Perspectives in Plant Ecology Evolution and Systematics, V1, P221, DOI 10.1078/1433-8319-00060
   VANWESEMAEL B, 1995, CATENA, V24, P105, DOI 10.1016/0341-8162(95)00021-J
   Verdaguer D, 2002, AM J BOT, V89, P1189, DOI 10.3732/ajb.89.8.1189
   Verdú M, 2003, BIOL J LINN SOC, V78, P415, DOI 10.1046/j.1095-8312.2003.00160.x
   Vilagrosa A, 2003, J EXP BOT, V54, P2015, DOI 10.1093/jxb/erg221
   Villagrosa A., 2006, CALIDAD PLANTA FORES, P119
   Villar-Salvador P, 2004, TREE PHYSIOL, V24, P1147, DOI 10.1093/treephys/24.10.1147
   Villar-Salvador P, 2004, FOREST ECOL MANAG, V196, P257, DOI 10.1016/j.foreco.2004.02.061
   Wang XL, 2005, AGR WATER MANAGE, V78, P181, DOI 10.1016/j.agwat.2005.02.006
   Whisenant SG, 1999, RESTORING DAMAGED WI
   White R.P., 2003, DRYLANDS PEOPLE ECOS
NR 109
TC 121
Z9 141
U1 3
U2 167
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0169-4286
EI 1573-5095
J9 NEW FOREST
JI New For.
PD SEP
PY 2012
VL 43
IS 5-6
SI SI
BP 561
EP 579
DI 10.1007/s11056-012-9325-9
PG 19
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA 992YY
UT WOS:000307819000003
DA 2025-01-10
ER

PT J
AU Selva, N
   Kreft, S
   Kati, V
   Schluck, M
   Jonsson, BG
   Mihok, B
   Okarma, H
   Ibisch, PL
AF Selva, Nuria
   Kreft, Stefan
   Kati, Vassiliki
   Schluck, Martin
   Jonsson, Bengt-Gunnar
   Mihok, Barbara
   Okarma, Henryk
   Ibisch, Pierre L.
TI Roadless and Low-Traffic Areas as Conservation Targets in Europe
SO ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Transport policy; Natura 2000; Fragmentation; Conservation law;
   Conservation targets; Climate change adaptation
ID OLD-GROWTH FORESTS; CLIMATE-CHANGE; BIODIVERSITY CONSERVATION; LANDSCAPE
   FRAGMENTATION; HABITAT FRAGMENTATION; BIRD POPULATIONS; GENE FLOW;
   ROADS; CONNECTIVITY; POLICY
AB With increasing road encroachment, habitat fragmentation by transport infrastructures has been a serious threat for European biodiversity. Areas with no roads or little traffic ("roadless and low-traffic areas") represent relatively undisturbed natural habitats and functioning ecosystems. They provide many benefits for biodiversity and human societies (e.g., landscape connectivity, barrier against pests and invasions, ecosystem services). Roadless and low-traffic areas, with a lower level of anthropogenic disturbances, are of special relevance in Europe because of their rarity and, in the context of climate change, because of their contribution to higher resilience and buffering capacity within landscape ecosystems. An analysis of European legal instruments illustrates that, although most laws aimed at protecting targets which are inherent to fragmentation, like connectivity, ecosystem processes or integrity, roadless areas are widely neglected as a legal target. A case study in Germany underlines this finding. Although the Natura 2000 network covers a significant proportion of the country (16%), Natura 2000 sites are highly fragmented and most low-traffic areas (75%) lie unprotected outside this network. This proportion is even higher for the old Federal States (western Germany), where only 20% of the low-traffic areas are protected. We propose that the few remaining roadless and low-traffic areas in Europe should be an important focus of conservation efforts; they should be urgently inventoried, included more explicitly in the law and accounted for in transport and urban planning. Considering them as complementary conservation targets would represent a concrete step towards the strengthening and adaptation of the Natura 2000 network to climate change.
C1 [Selva, Nuria] Inst Nat Conservat PAS, PL-31120 Krakow, Poland.
   [Kreft, Stefan; Schluck, Martin; Ibisch, Pierre L.] Eberswalde Univ Sustainable Dev, Fac Forest & Environm, Eberswalde, Germany.
   [Kreft, Stefan; Schluck, Martin; Ibisch, Pierre L.] Ctr Econ & Ecosyst Management, Eberswalde, Germany.
   [Kati, Vassiliki] Univ Ioannina, Agrinion, Greece.
   [Jonsson, Bengt-Gunnar] Mid Sweden Univ, Sundsvall, Sweden.
   [Mihok, Barbara] Hungarian Nat Hist Museum, Budapest, Hungary.
   [Okarma, Henryk] Jagiellonian Univ, Inst Environm Sci, PL-30387 Krakow, Poland.
C3 Polish Academy of Sciences; Eberswalde University for Sustainable
   Development; University of Ioannina; Mid-Sweden University; Jagiellonian
   University
RP Selva, N (corresponding author), Inst Nat Conservat PAS, Mickiewicza 33, PL-31120 Krakow, Poland.
EM nuriselva@gmail.com
RI Okarma, Henryk/W-2050-2019; Kreft, Stefan/AAE-5558-2021; Kati,
   Vassiliki/AAB-9418-2020; Selva, Nuria/J-6970-2013
OI Ibisch, Pierre/0000-0001-9820-9272; Okarma, Henryk/0000-0002-8912-3546;
   Selva, Nuria/0000-0003-3389-201X; Kati, Vassiliki/0000-0003-3357-4556
FU BfN [FKZ 80682270K]; German Federal Ministry of Education and Research
FX This paper is part of an initiative launched by the Policy Committee of
   the Society for Conservation Biology-Europe Section. We are indebted to
   our colleagues from SCB, especially P. Chylarecki, M. Dieterich, B.
   Livoreil, O. Nevin and A. Pullin, as well as W. Barthlott and N.
   Fernandez for support and insightful comments to the manuscript. O.
   Nevin kindly checked the English. We thank the German Federal Agency for
   Nature Conservation (BfN) for data facilitation. We also acknowledge
   funding for Eberswalde University for Sustainable Development provided
   by the BfN under the research project "Protected areas under climate
   change" (FKZ 80682270K) and by the German Federal Ministry of Education
   and Research under the project "Innovation Network Climate Change
   Adaptation Brandenburg Berlin-INKA BB". We very much appreciated the
   critical and constructive support provided by four anonymous reviewers.
CR Allan BF, 2003, CONSERV BIOL, V17, P267, DOI 10.1046/j.1523-1739.2003.01260.x
   Angelstam P., 2004, Ecological Bulletins, V51, P149
   [Anonymous], STAT YB FOR 2008
   [Anonymous], 32 EEA
   [Anonymous], WORLD FACTB 2008
   [Anonymous], 2005, EC HUM WELL BEING BI
   [Anonymous], 2011, OUR LIFE INSURANCE O
   [Anonymous], 2010, STATE OUTLOOK 2010 S, DOI DOI 10.2800/45773
   [Anonymous], 2006, Urban Sprawl in Europe: The Ignored Challenge
   [Anonymous], 2003, THESIS SWEDISH U AGR
   Balkenhol N, 2009, MOL ECOL, V18, P4151, DOI 10.1111/j.1365-294X.2009.04322.x
   Benítez-López A, 2010, BIOL CONSERV, V143, P1307, DOI 10.1016/j.biocon.2010.02.009
   Berry P, 2008, MITIGATION MEASURES
   BfN, 2008, NAT DAT 2008
   Blake S, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0003546
   Charry B., 2009, P 2009 INT C EC TRAN, P159
   Chen XW, 2008, BIODIVERS CONSERV, V17, P2013, DOI 10.1007/s10531-008-9351-2
   Corlatti L, 2009, CONSERV BIOL, V23, P548, DOI 10.1111/j.1523-1739.2008.01162.x
   Crist MR, 2005, J APPL ECOL, V42, P181, DOI 10.1111/j.1365-2664.2005.00996.x
   DellaSala D. A., 2001, Fire Management Today, V61, P12
   DeVelice RL, 2001, ECOL APPL, V11, P1008, DOI 10.1890/1051-0761(2001)011[1008:ATETWR]2.0.CO;2
   EC (European Commission), 2011, EC WID COUNTR MAR EN
   EC (European Commission), 2010, OPT EU VIS TARG BIOD
   ECOTEC, 2010, EX POST EV COH POL P
   EP (European Parliament), 2008, A604782008 EP COMM E
   Epps CW, 2005, ECOL LETT, V8, P1029, DOI 10.1111/j.1461-0248.2005.00804.x
   EU (European Union), 2001, PRES CONCL
   FAHRIG L, 1985, ECOLOGY, V66, P1762, DOI 10.2307/2937372
   Fahrig L, 2009, ECOL SOC, V14
   Ferguson C., 2008, TURNING HEAT GLOBAL
   Findlay CS, 2000, CONSERV BIOL, V14, P86, DOI 10.1046/j.1523-1739.2000.99086.x
   Fisher I, 2001, ASSESSMENT POTENTIAL
   Forman R.T., 2003, Road Ecology: Science and Solutions, P481
   Forman RTT, 1998, ANNU REV ECOL SYST, V29, P207, DOI 10.1146/annurev.ecolsys.29.1.207
   Forman RTT, 2000, CONSERV BIOL, V14, P31, DOI 10.1046/j.1523-1739.2000.99299.x
   Forman RTT, 2000, CONSERV BIOL, V14, P36, DOI 10.1046/j.1523-1739.2000.99088.x
   Forman RTT, 2007, P INT C EC TRANSP, P597
   Gelbard JL, 2003, ECOL APPL, V13, P404, DOI 10.1890/1051-0761(2003)013[0404:RHARFN]2.0.CO;2
   Gontier M, 2006, ENVIRON IMPACT ASSES, V26, P268, DOI 10.1016/j.eiar.2005.09.001
   HARMON ME, 1990, SCIENCE, V247, P699, DOI 10.1126/science.247.4943.699
   Haskell DG, 2000, CONSERV BIOL, V14, P57, DOI 10.1046/j.1523-1739.2000.99232.x
   Hawbaker TJ, 2006, ECOL APPL, V16, P1222, DOI 10.1890/1051-0761(2006)016[1222:RDHGAL]2.0.CO;2
   Hels T, 2001, BIOL CONSERV, V99, P331, DOI 10.1016/S0006-3207(00)00215-9
   Holdsworth AR, 2007, ECOL APPL, V17, P1666, DOI 10.1890/05-2003.1
   Ibisch PL, 2005, CBD TECHNICAL SERIES, P83
   Iuell B, 2003, WILDLIFE TRAFFIC EUR, P176
   Jaeger JAG, 2007, ECOL SOC, V12
   Jaeger Jochen A.G., 2006, P151
   Joumard R, 2010, ECOL INDIC, V10, P136, DOI 10.1016/j.ecolind.2009.04.002
   Keller I, 2004, MOL ECOL, V13, P2983, DOI 10.1111/j.1365-294X.2004.02310.x
   Laurance WF, 2001, CONSERV BIOL, V15, P1529, DOI 10.1046/j.1523-1739.2001.01093.x
   Laurance WF, 2009, TRENDS ECOL EVOL, V24, P659, DOI 10.1016/j.tree.2009.06.009
   Loomis J., 2000, EC VALUES PROTECTING
   Loucks C, 2003, CONSERV ECOL, V7
   Lovejoy TE, 2006, TRENDS ECOL EVOL, V21, P329, DOI 10.1016/j.tree.2006.04.005
   Luyssaert S, 2008, NATURE, V455, P213, DOI 10.1038/nature07276
   Markham A, 1996, CLIMATE RES, V6, P179, DOI 10.3354/cr006179
   McGarigal K, 2001, LANDSCAPE ECOL, V16, P327, DOI 10.1023/A:1011185409347
   Müller K, 2010, LANDSCAPE URBAN PLAN, V98, P3, DOI 10.1016/j.landurbplan.2010.07.004
   Noss RF, 2001, CONSERV BIOL, V15, P578, DOI 10.1046/j.1523-1739.2001.015003578.x
   NOSS RF, 1991, CONSERV BIOL, V5, P120, DOI 10.1111/j.1523-1739.1991.tb00395.x
   Opdam P, 2004, BIOL CONSERV, V117, P285, DOI 10.1016/j.biocon.2003.12.008
   Parmesan C, 2006, ANNU REV ECOL EVOL S, V37, P637, DOI 10.1146/annurev.ecolsys.37.091305.110100
   Pullin AS, 2009, CONSERV BIOL, V23, P818, DOI 10.1111/j.1523-1739.2009.01283.x
   Reed RA, 1996, CONSERV BIOL, V10, P1098, DOI 10.1046/j.1523-1739.1996.10041098.x
   REIJNEN R, 1995, J APPL ECOL, V32, P187, DOI 10.2307/2404428
   Riitters KH, 2003, FRONT ECOL ENVIRON, V1, P125, DOI 10.1890/1540-9295(2003)001[0125:HFTTNR]2.0.CO;2
   Riley SPD, 2006, MOL ECOL, V15, P1733, DOI 10.1111/j.1365-294X.2006.02907.x
   Roedenbeck IA, 2007, ECOL SOC, V12
   Sanderson EW, 2002, BIOSCIENCE, V52, P891, DOI 10.1641/0006-3568(2002)052[0891:THFATL]2.0.CO;2
   SAUNDERS DA, 1991, CONSERV BIOL, V5, P18, DOI 10.1111/j.1523-1739.1991.tb00384.x
   Seiler A, 2005, J APPL ECOL, V42, P371, DOI 10.1111/j.1365-2664.2005.01013.x
   Strittholt JR, 2001, CONSERV BIOL, V15, P1742, DOI 10.1046/j.1523-1739.2001.99577.x
   Theobald D.M., 2008, P 11 AGILE INT C GEO
   TINA (TINA Vienna-Transport Strategies), 2008, TREN2006ADMS07607191
   Trombulak SC, 2000, CONSERV BIOL, V14, P18, DOI 10.1046/j.1523-1739.2000.99084.x
   Turner JM, 2006, CONSERV BIOL, V20, P713, DOI 10.1111/j.1523-1739.2006.00365.x
   Turner T, 2009, ROADLESS RULES STRUG, P192
   USDA Forest Service, 2001, FED REGISTER, V66, P3244
   USDA Forest Service, 2000, FIN ENV IMP STAT ROA
   van Langevelde F, 2009, ECOL SOC, V14
   van Langevelde F, 2009, J ENVIRON MANAGE, V90, P660, DOI 10.1016/j.jenvman.2007.09.003
   Von der Lippe M, 2007, CONSERV BIOL, V21, P986, DOI 10.1111/j.1523-1739.2007.00722.x
   Walther GR, 2002, NATURE, V416, P389, DOI 10.1038/416389a
   Watkins RZ, 2003, CONSERV BIOL, V17, P411, DOI 10.1046/j.1523-1739.2003.01285.x
   Wilkie D, 2000, CONSERV BIOL, V14, P1614, DOI 10.1111/j.1523-1739.2000.99102.x
   WPDC, Economic Value of New York's Forest Resource
NR 87
TC 103
Z9 109
U1 2
U2 97
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 0364-152X
EI 1432-1009
J9 ENVIRON MANAGE
JI Environ. Manage.
PD NOV
PY 2011
VL 48
IS 5
BP 865
EP 877
DI 10.1007/s00267-011-9751-z
PG 13
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 830SB
UT WOS:000295676100001
PM 21947368
OA Green Published, Green Submitted, hybrid
DA 2025-01-10
ER

PT J
AU Lal, P
   Alavalapati, JRR
   Mercer, ED
AF Lal, Pankaj
   Alavalapati, Janaki R. R.
   Mercer, Evan D.
TI Socio-economic impacts of climate change on rural United States
SO MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE
LA English
DT Article
DE Climate change; Nonmetro; Vulnerability; Coping capacity; Climate change
   adaptation; Indigenous community
ID CHANGE VULNERABILITY; CROP YIELDS; FOREST; SUSTAINABILITY; AGRICULTURE;
   COMMUNITIES; VARIABILITY; SENSITIVITY; MOUNTAINS; RESPONSES
AB Directly or indirectly, positively or negatively, climate change will affect all sectors and regions of the United States. The impacts, however, will not be homogenous across regions, sectors, population groups or time. The literature specifically related to how climate change will affect rural communities, their resilience, and adaptive capacity in the United States (U. S.) is scarce. This article bridges this knowledge gap through an extensive review of the current state of knowledge to make inferences about the rural communities vulnerability to climate change based on Intergovernmental Panel on Climate Change (IPCC) scenarios. Our analysis shows that rural communities tend to be more vulnerable than their urban counterparts due to factors such as demography, occupations, earnings, literacy, poverty incidence, and dependency on government funds. Climate change impacts on rural communities differs across regions and economic sectors; some will likely benefit while others lose. Rural communities engaged in agricultural and forest related activities in the Northeast might benefit, while those in the Southwest and Southeast could face additional water stress and increased energy cost respectively. Developing adaptation and mitigation policy options geared towards reducing climatic vulnerability of rural communities is warranted. A set of regional and local studies is needed to delineate climate change impacts across rural and urban communities, and to develop appropriate policies to mitigate these impacts. Integrating research across disciplines, strengthening research-policy linkages, integrating ecosystem services while undertaking resource valuation, and expanding alternative energy sources, might also enhance coping capacity of rural communities in face of future climate change.
C1 [Lal, Pankaj; Alavalapati, Janaki R. R.] Virginia Tech, Dept Forest Resources & Environm Conservat, Blacksburg, VA 24061 USA.
   [Mercer, Evan D.] US Forest Serv, Forestry Sci Lab, Res Triangle Pk, NC 27709 USA.
C3 Virginia Polytechnic Institute & State University; United States
   Department of Agriculture (USDA); United States Forest Service
RP Lal, P (corresponding author), Virginia Tech, Dept Forest Resources & Environm Conservat, 305 Cheatham Hall, Blacksburg, VA 24061 USA.
EM pankajlal7@gmail.com
RI Lal, Pankaj/J-7023-2019
FU United States Forest Service Southern Research Station
FX This project was funded by the United States Forest Service Southern
   Research Station. Any positions or opinions expressed in this article
   are those of the authors and do not necessarily reflect the position of
   the United States Forest Service. Any errors or inaccuracies in this
   article are the sole responsibility of the authors. The authors wish to
   thank the following reviewers for their helpful comments in the earlier
   version of the article that is being published as a chapter in USFS
   Pacific Northwest Research Station General Technical Report 837: Linda
   Langner, National Program Leader for the Resource Planning Act
   Assessment, J. Michael Bowker of the Southern Research Station, and
   Ellen M. Donoghue of Pacific Northwest Research Station, all of U. S.
   Forest Service, as well as G. Andrew Stainback of the Department of
   Forestry, University of Kentucky. Thanks also go to Jaganaddha Rao
   Matta, Forestry Officer Finance, Food and Agricultural Organization of
   the United Nations for his helpful insights. We are grateful to three
   anonymous referees for their useful comments
CR Adams HD, 2009, P NATL ACAD SCI USA, V106, P7063, DOI 10.1073/pnas.0901438106
   ADAMS RM, 1990, NATURE, V345, P219, DOI 10.1038/345219a0
   Alavalapati J., 2009, Virginia Forests, P4
   Alig R.J., 2004, Choices: The Magazine of Food, Farm and Resource Issues, V2004, P7
   [Anonymous], CLIM CHANGE
   [Anonymous], CLIMATE CHANGE IMPAC
   [Anonymous], CLIMATE CHANGE SOCIA
   [Anonymous], RUR INC POV WELF RUR
   [Anonymous], WEATHER CLIMATE EXTR
   [Anonymous], SO FOREST F IN PRESS
   [Anonymous], FARM DEP COUNT 1998
   [Anonymous], ANAL EFFECTS GLOBAL
   [Anonymous], DEFINING RURAL RURAL
   [Anonymous], RUR DEF
   [Anonymous], SUSTAINABLE CONTRIBU
   [Anonymous], 2005, SUMM EXPL WORKSH NOA
   [Anonymous], RUR LAB ED
   [Anonymous], TOURISM RES POLICY P
   [Anonymous], MEAS RUR 2004 COUNT
   [Anonymous], MITIG ADAPT STRATEG
   [Anonymous], MEAS RUR WHAT IS RUR
   [Anonymous], ENH QUAL LIF RUR AM
   [Anonymous], EC INFORM B DEP AGR
   [Anonymous], AMBER WAVES
   [Anonymous], IMP CLIM CHANG UNPUB
   [Anonymous], EPA600R07069 NAT CTR
   [Anonymous], J SUST FORE IN PRESS
   [Anonymous], ASSESSING CONSEQUENC
   [Anonymous], CLIMATE GAP INEQUALI
   [Anonymous], 2005, CANADIAN ASS GEOGRAP
   [Anonymous], 2009, Global climate change impacts in the Unites States
   [Anonymous], 2008, The Effects of Climate Change on Forest Resources
   [Anonymous], 7 USDA EC RES
   [Anonymous], FED SUBS MAN PROGR
   [Anonymous], GAO04142
   [Anonymous], 2008, Indigenous Affairs
   [Anonymous], 2008, EFFECTS CLIMATE CHAN
   [Anonymous], EPA600R08014 NAT CTR
   [Anonymous], EFFECTS CLIMATE CHAN
   [Anonymous], COASTAL ELEVATIONS S
   [Anonymous], 2001, CLIMATE CHANGE GLOBA
   [Anonymous], 2008, EFFECTS CLIMATE CHAN
   [Anonymous], RUR INC POV WELF NON
   [Anonymous], CLIMATE CHANGE RURAL
   [Anonymous], RUR INC POV WELF POV
   [Anonymous], 2006, CLIMATE CHANGE MODEL
   [Anonymous], MITIG ADAPT STRATEG
   [Anonymous], 2001, CLIM CHANG IMP US PO
   Barnett J, 2003, GLOBAL ENVIRON CHANG, V13, P7, DOI 10.1016/S0959-3780(02)00080-8
   Barnett TP, 2008, SCIENCE, V319, P1080, DOI 10.1126/science.1152538
   Battin J, 2007, P NATL ACAD SCI USA, V104, P6720, DOI 10.1073/pnas.0701685104
   Brown TJ, 2004, CLIMATIC CHANGE, V62, P365, DOI 10.1023/B:CLIM.0000013680.07783.de
   Cameron GN, 2001, J MAMMAL, V82, P652, DOI 10.1644/1545-1542(2001)082<0652:GWEOGC>2.0.CO;2
   Caswell Hal, 2001, pi
   Clark P.U., 2008, Abrupt Climate Change. A report by the US Climate Change Science Program and the Subcommittee on Global Change Research
   Crozier LG, 2008, EVOL APPL, V1, P252, DOI 10.1111/j.1752-4571.2008.00033.x
   Deller SC, 2001, AM J AGR ECON, V83, P352, DOI 10.1111/0002-9092.00161
   Deschênes O, 2007, AM ECON REV, V97, P354, DOI 10.1257/aer.97.1.354
   Dwivedi P, 2009, ENERGY SUSTAIN DEV, V13, P174, DOI 10.1016/j.esd.2009.06.003
   Ebi KL., 2008, ANALYSES EFFECTS GLO, P39
   Ebi KL, 2009, ENVIRON HEALTH PERSP, V117, P857, DOI 10.1289/ehp.0800088
   Elliott GP, 2004, J BIOGEOGR, V31, P733, DOI 10.1111/j.1365-2699.2004.01064.x
   Feng S, 2007, J GEOPHYS RES-ATMOS, V112, DOI 10.1029/2007JD008397
   Flint CG, 2005, SOC NATUR RESOUR, V18, P399, DOI 10.1080/08941920590924747
   Forster P, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P129
   Frumhoff PC, 2007, CONFRONTING CLIMATE
   Gan JB, 2004, FOREST ECOL MANAG, V191, P61, DOI 10.1016/j.foreco.2003.11.001
   Graham NAJ, 2006, P NATL ACAD SCI USA, V103, P8425, DOI 10.1073/pnas.0600693103
   Green TR, 2007, VADOSE ZONE J, V6, P531, DOI 10.2136/vzj2007.0098
   Gu L, 2008, BIOSCIENCE, V58, P253, DOI 10.1641/B580311
   Hanna J.M., 2007, Native communities and climate change: protecting Tribal resources as part of National climate policy. a report published by the Natural Resources Law Center, Colorado Law School
   Hayhoe K, 2004, P NATL ACAD SCI USA, V101, P12422, DOI 10.1073/pnas.0404500101
   Hill J, 2006, P NATL ACAD SCI USA, V103, P11206, DOI 10.1073/pnas.0604600103
   Houghton J.T., 2001, CONTRIBUTION WORKING, P1
   Houser S, 2001, Climate change impacts in the United States: potential consequences of climate change and variability and change
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Hutton D., 2001, Psychosocial aspects of disaster recovery: Integrating communities into disaster planning and policy making
   Ikeme J, 2003, GLOBAL ENVIRON CHANG, V13, P195, DOI 10.1016/S0959-3780(03)00047-5
   Johnson KM., 2002, Rural Am, V17, P12
   Johnstone JF, 2003, GLOBAL CHANGE BIOL, V9, P1401, DOI 10.1046/j.1365-2486.2003.00661.x
   Karnosky DF, 2005, PLANT CELL ENVIRON, V28, P965, DOI 10.1111/j.1365-3040.2005.01362.x
   Kiely T., 2004, Pesticides Industry Sales and Usage - 2000 and 2001 Market Estimates
   Kilpatrick AM, 2008, PLOS PATHOG, V4, DOI 10.1371/journal.ppat.1000092
   Kunkel KE, 2008, MITIG ADAPT STRAT GL, V13, P597, DOI 10.1007/s11027-007-9137-y
   Lazar B, 2008, COLD REG SCI TECHNOL, V51, P219, DOI 10.1016/j.coldregions.2007.03.015
   Lettenmaier D P., 2008, The Effects of Climate Change on Agriculture, Land Resources, P121
   Levia DF, 2004, THEOR APPL CLIMATOL, V79, P23, DOI 10.1007/s00704-004-0067-2
   Lobell DB, 2006, AGR FOREST METEOROL, V141, P208, DOI 10.1016/j.agrformet.2006.10.006
   Logan JA, 2003, FRONT ECOL ENVIRON, V1, P130, DOI 10.2307/3867985
   Loomis J., 1999, IMPACT CLIMATE CHANG, P289, DOI [10.1017/CBO9780511573149.012, DOI 10.1017/CBO9780511573149.012]
   Miller K.K., 2002, Rural poverty and rural urban income gaps: A troubling snapshot of the prosperous 1990s
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Motha RP, 2005, CLIMATIC CHANGE, V70, P137, DOI 10.1007/s10584-005-5940-1
   Murphy B., 2005, ICLR RES PAPER SERIE, V43
   O'Brien KL, 2000, GLOBAL ENVIRON CHANG, V10, P221, DOI 10.1016/S0959-3780(00)00021-2
   Ortiz R, 2008, AGR ECOSYST ENVIRON, V126, P46, DOI 10.1016/j.agee.2008.01.019
   Parson E.A., 2001, Climate Change Impacts on the United States
   Perez-Garcia J, 2002, CLIMATIC CHANGE, V54, P439, DOI 10.1023/A:1016124517309
   Peterson AT, 2003, GLOBAL CHANGE BIOL, V9, P647, DOI 10.1046/j.1365-2486.2003.00616.x
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Richardson RB, 2005, J LEISURE RES, V37, P307, DOI 10.1080/00222216.2005.11950055
   Richardson RB, 2004, ECOL ECON, V50, P83, DOI 10.1016/j.ecolecon.2004.02.010
   Rosenzweig C, 2010, CLIMATIC CHANGE, V100, P103, DOI 10.1007/s10584-010-9826-5
   Ruth M., 2007, The US economic impacts of climate change and the costs of inaction
   Ryan M.G., 2008, EFFECTS CLIMATE CHAN, P75
   Schlenker W, 2009, P NATL ACAD SCI USA, V106, P15594, DOI 10.1073/pnas.0906865106
   Scott D., 2006, CLIMATE CHANGE NATUR
   Scott D., 2005, CLIMATE CHANGE BANFF
   Scott D, 2008, MITIG ADAPT STRAT GL, V13, P577, DOI 10.1007/s11027-007-9136-z
   Scott D, 2007, TOURISM MANAGE, V28, P570, DOI 10.1016/j.tourman.2006.04.020
   Scott D, 2005, CONTEMP GEOGR LEIS T, P262
   Sohngen B, 2005, FOREST CHRON, V81, P669, DOI 10.5558/tfc81669-5
   Susaeta A, 2009, NAT RESOUR MODEL, V22, P345, DOI 10.1111/j.1939-7445.2009.00040.x
   Triggs JM, 2004, AGR FOREST METEOROL, V124, P63, DOI 10.1016/j.agrformet.2004.01.005
   Tsosie Rebecca., 2007, U COLORADO LAW REV, V78, P1625, DOI DOI 10.3868/S050-004-015-0003-8
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   van Mantgem PJ, 2009, SCIENCE, V323, P521, DOI 10.1126/science.1165000
   Westerling AL, 2006, SCIENCE, V313, P940, DOI 10.1126/science.1128834
   Whitener L. A., 2007, Amber Waves, V5, P58
   Wilbanks T, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P357
   Woodhouse CA, 1998, B AM METEOROL SOC, V79, P2693, DOI 10.1175/1520-0477(1998)079<2693:YODVIT>2.0.CO;2
   Wu SY, 2002, CLIM RES, V22, P255, DOI 10.3354/cr022255
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
   Ziska LH, 2003, J EXP BOT, V54, P395, DOI 10.1093/jxb/erg027
NR 124
TC 62
Z9 82
U1 2
U2 36
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1381-2386
EI 1573-1596
J9 MITIG ADAPT STRAT GL
JI Mitig. Adapt. Strateg. Glob. Chang.
PD OCT
PY 2011
VL 16
IS 7
BP 819
EP 844
DI 10.1007/s11027-011-9295-9
PG 26
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 852OU
UT WOS:000297368100006
DA 2025-01-10
ER

PT J
AU Savari, M
   Damaneh, HE
   Damaneh, HE
AF Savari, Moslem
   Damaneh, Hamed Eskandari
   Damaneh, Hadi Eskandari
TI Conservation behaviors of local communities towards mangrove forests in
   Iran
SO GLOBAL ECOLOGY AND CONSERVATION
LA English
DT Article
DE Natural resources; Mangrove forests; Forest conservation; Conservation
   motivation theory; Iran
ID CLIMATE-CHANGE ADAPTATION; HEALTH BELIEF MODEL; PROTECTION MOTIVATION;
   FLOOD; WILLINGNESS; NORMS; RISK; PERCEPTIONS; CONSUMPTION; INTENTIONS
AB Mangrove forests are a sensitive and fragile ecosystem at risk of extinction and destruction due to excessive exploitation in recent years. Moreover, insufficient studies, programs, and practical policies to safeguard these ecosystems have exacerbated their degradation. In this context, the present research was conducted to find the factors that determine the willingness of Iranian rural households towards mangrove forest conservation. The extended protection motivation theory (PMT) by adding the variables of moral norms (MN) and knowledge was used as the study's theoretical framework. This research was conducted using the questionnaire survey method and with the help of structural equations (SEM). The research's statistical population comprised all rural communities within Minab city in southern Iran. The findings of the research showed that the initial PMT explains 0.54 % of the variance of behavioral intention of rural households in applying forest conservation behaviors. The primary constructs of the PMT encompass perceived severity, perceived vulnerability, self-efficacy, response efficacy, and response costs, each of which positively influences the behavioral intention of rural households. Notably, the incorporation of knowledge and MN variables enhances the model's explanatory power regarding the BI of rural households to forest conservation by 21.8 %. In the current research, knowledge was identified as the most important factor, so policymakers can promote safe behavior in the natural environment by emphasizing it and providing the basis for sustainable forest development.
C1 [Savari, Moslem] Agr Sci & Nat Resources Univ Khuzestan, Dept Agr Extens & Educ, Mollasani, Iran.
   [Damaneh, Hamed Eskandari] Univ Tehran, Fac Nat Resources, Dept Reclamat Arid & Mountainous Reg, Karaj, Iran.
   [Damaneh, Hadi Eskandari] Agr Res Educ & Extens Org AREEO, Res Inst Forests & Rangelands, Tehran, Iran.
C3 University of Tehran
RP Savari, M (corresponding author), Agr Sci & Nat Resources Univ Khuzestan, Dept Agr Extens & Educ, Mollasani, Iran.
EM Savari@asnrukh.ac.ir
RI Savari, Moslem/AAA-5867-2022
FU Agricultural Sciences and Natural Resources University of Khuzestan
   [991.32]
FX The current paper is adapted from a research assigned in Agricultural
   Sciences and Natural Resources University of Khuzestan, with a Grant
   Number of 991.32, and financially supported by the university, thereby
   we declare our appreciation for their help.
CR AJZEN I, 1991, ORGAN BEHAV HUM DEC, V50, P179, DOI 10.1016/0749-5978(91)90020-T
   Alhemimah A, 2023, J DESTIN MARK MANAGE, V27, DOI 10.1016/j.jdmm.2022.100757
   Amghani MS, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-44290-5
   Arvola A, 2008, APPETITE, V50, P443, DOI 10.1016/j.appet.2007.09.010
   Asah ST, 2020, ECOSYSTEMS, V23, P324, DOI 10.1007/s10021-019-00405-6
   Azadi H, 2013, SUSTAIN SCI, V8, P543, DOI 10.1007/s11625-012-0190-4
   Azadi Y, 2019, J ENVIRON MANAGE, V250, DOI 10.1016/j.jenvman.2019.109456
   Baghernejad J, 2023, FRONT SUSTAIN FOOD S, V7, DOI 10.3389/fsufs.2023.1199368
   Berndt AE, 2020, J HUM LACT, V36, P224, DOI 10.1177/0890334420906850
   Bijani M, 2022, GLOB ECOL CONSERV, V39, DOI 10.1016/j.gecco.2022.e02303
   Blessing I.A., 2012, International Journal for Cross-Disciplinary Subjects in Education, V3, P648, DOI [DOI 10.20533/IJCDSE.2042.6364.2012.0091, 10.20533/ijcdse.2042.6364.2012.0091]
   Börner J, 2020, ANNU REV RESOUR ECON, V12, P45, DOI 10.1146/annurev-resource-110119-025703
   Bryan K, 2019, WATER RESOUR MANAG, V33, P1185, DOI 10.1007/s11269-018-2175-2
   Bubeck P, 2012, RISK ANAL, V32, P1481, DOI 10.1111/j.1539-6924.2011.01783.x
   Buntaine MT, 2015, GLOBAL ENVIRON CHANG, V33, P32, DOI 10.1016/j.gloenvcha.2015.04.001
   Burger JM, 2011, SOC INFLUENCE, V6, P69, DOI 10.1080/15534510.2010.542305
   Burger JM, 2011, BASIC APPL SOC PSYCH, V33, P220, DOI 10.1080/01973533.2011.589300
   Castilho LC, 2018, TROP CONSERV SCI, V11, DOI 10.1177/1940082917753507
   Chen MF, 2020, ENVIRON SCI POLLUT R, V27, P13714, DOI 10.1007/s11356-020-07963-6
   Chuan C.L., 2006, J. Penyelid. IPBL, V7, P78
   Cortner O, 2024, GLOBAL ENVIRON CHANG, V84, DOI 10.1016/j.gloenvcha.2023.102775
   de Kort YAW, 2008, ENVIRON BEHAV, V40, P870, DOI 10.1177/0013916507311035
   Delpasand S., 2022, For. Res. Dev, V7, P577, DOI [10.30466/jfrd.2021.53301.1528, DOI 10.30466/JFRD.2021.53301.1528]
   Diaz J, 2020, J ENVIRON MANAGE, V264, DOI 10.1016/j.jenvman.2020.110404
   Duan R, 2023, INT J DISAST RISK RE, V96, DOI 10.1016/j.ijdrr.2023.103956
   Ejeta LT, 2016, INT J DISAST RISK RE, V19, P341, DOI 10.1016/j.ijdrr.2016.09.005
   Elliott S, 2016, AUST J ENVIRON EDUC, V32, P57, DOI 10.1017/aee.2015.44
   Erfanian S, 2024, FRONT FOR GLOB CHANG, V7, DOI 10.3389/ffgc.2024.1489170
   Estebsari F, 2023, CLIN BREAST CANCER, V23, pe239, DOI 10.1016/j.clbc.2023.02.013
   Etikan I., 2017, Biometrics & Biostatistics International Journal, V5, DOI [DOI 10.15406/BBIJ.2017.05.00149, 10.15406/bbij.2017.05.00149, 10.15406/bbij.2017.05.001, DOI 10.15406/BBIJ.2017.05.001]
   Fang W.-T., 2023, Environmental psychology BT-the living environmental education: sound science toward a cleaner, safer, and healthier future, P127, DOI [10.1007/978-981-19-4234-1_5, DOI 10.1007/978-981-19-4234-1_5]
   Fornara F, 2016, J ENVIRON PSYCHOL, V45, P1, DOI 10.1016/j.jenvp.2015.11.001
   FORNELL C, 1981, J MARKETING RES, V18, P39, DOI 10.2307/3151312
   Gabel VM, 2018, J RURAL STUD, V62, P68, DOI 10.1016/j.jrurstud.2018.07.007
   Grano C, 2022, PSYCHOL HEALTH, V37, P1584, DOI 10.1080/08870446.2022.2062355
   Grothmann T, 2006, NAT HAZARDS, V38, P101, DOI 10.1007/s11069-005-8604-6
   Gulzar S, 2024, AM POLIT SCI REV, V118, P764, DOI 10.1017/S0003055423000758
   Haer T, 2016, ENVIRON SCI POLICY, V60, P44, DOI 10.1016/j.envsci.2016.03.006
   Hair J, 2017, IND MANAGE DATA SYST, V117, P442, DOI 10.1108/IMDS-04-2016-0130
   Hair JF, 2021, J FAM BUS STRATEG, V12, DOI 10.1016/j.jfbs.2020.100392
   Harker AL, 2022, COAST MANAGE, V50, P490, DOI 10.1080/08920753.2022.2126266
   Henseler J, 2013, COMPUTATION STAT, V28, P565, DOI 10.1007/s00180-012-0317-1
   Dang HL, 2014, NAT HAZARDS, V71, P385, DOI 10.1007/s11069-013-0931-4
   Hoeksma DL, 2017, MEAT SCI, V128, P15, DOI 10.1016/j.meatsci.2017.01.011
   Huang PS, 2009, INT J ENVIRON SCI TE, V6, P35, DOI 10.1007/BF03326058
   Huang XY, 2020, TOUR MANAG PERSPECT, V33, DOI 10.1016/j.tmp.2019.100589
   Ingrao C, 2016, J CLEAN PROD, V117, P4, DOI 10.1016/j.jclepro.2015.12.066
   Jaeger CM, 2017, J ENVIRON PSYCHOL, V51, P199, DOI 10.1016/j.jenvp.2017.03.015
   Jeong JY, 2018, APPETITE, V123, P208, DOI 10.1016/j.appet.2017.12.012
   Karrer S.L., 2012, Swiss Farmers' Perception of and Response to Climate Change
   Khedrizadeh M., 2017, J. Wood For. Sci. Technol, V24, P35, DOI [DOI 10.22069/JWFST.2017.12024.1634, 10.22069/jwfst.2017.12024.1634]
   Khoshmaram M, 2020, J SMALL BUS MANAGE, V58, P1064, DOI 10.1111/jsbm.12501
   Laurie R., 2016, Journal of Education for Sustainable Development, V10, P226, DOI [DOI 10.1177/0973408216661442, 10.1177/0973408216661442]
   Liljander V, 2009, J RETAIL CONSUM SERV, V16, P281, DOI 10.1016/j.jretconser.2009.02.005
   MADDUX JE, 1983, J EXP SOC PSYCHOL, V19, P469, DOI 10.1016/0022-1031(83)90023-9
   Maleknia R, 2024, FRONT PSYCHOL, V15, DOI 10.3389/fpsyg.2024.1372354
   Maleksaeidi H, 2019, GLOB ECOL CONSERV, V20, DOI 10.1016/j.gecco.2019.e00698
   Mansori M, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-42251-6
   Mason AM, 2016, ADV NAT TECH HAZ RES, V45, P189, DOI 10.1007/978-3-319-20161-0_12
   Mattone C, 2024, ESTUAR COAST SHELF S, V309, DOI 10.1016/j.ecss.2024.108959
   McFarlane BL, 2003, J ENVIRON PSYCHOL, V23, P79, DOI 10.1016/S0272-4944(02)00080-4
   Mennatizadeh M., 2014, Iran. Agric. Dev. Econ. Res., V45, P613
   Mitter H, 2019, ENVIRON MANAGE, V63, P804, DOI 10.1007/s00267-019-01158-7
   Mosavian SH, 2023, J ENVIRON PSYCHOL, V90, DOI 10.1016/j.jenvp.2023.102036
   Negi YK, 2021, SCI HORTIC-AMSTERDAM, V283, DOI 10.1016/j.scienta.2021.110038
   Oakley M, 2020, WATER-SUI, V12, DOI 10.3390/w12071848
   Pieniak Z, 2010, FOOD QUAL PREFER, V21, P581, DOI 10.1016/j.foodqual.2010.03.004
   Poussin JK, 2014, ENVIRON SCI POLICY, V40, P69, DOI 10.1016/j.envsci.2014.01.013
   Puntsagdorj B, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13031524
   Rainear AM, 2017, COMMUN RES REP, V34, P239, DOI 10.1080/08824096.2017.1286472
   Rogers R. W., 1983, Social psychophysiology: A source book, P153
   ROGERS RW, 1985, PSYCHOL REP, V56, P179, DOI 10.2466/pr0.1985.56.1.179
   Ruan WJ, 2020, CURR ISSUES TOUR, V23, P2027, DOI 10.1080/13683500.2020.1743242
   Saoum MR, 2024, ECOL INDIC, V159, DOI 10.1016/j.ecolind.2024.111666
   Sattayapanich T., 2022, J. Open Innov.: Technol. Mark. Complex, V8, P209, DOI DOI 10.3390/JOITMC8040209
   Savari M, 2024, CLIM SERV, V35, DOI 10.1016/j.cliser.2024.100500
   Savari M, 2024, CLIM RISK MANAG, V45, DOI 10.1016/j.crm.2024.100619
   Savari M, 2024, FRONT WATER, V6, DOI 10.3389/frwa.2024.1393226
   Savari M, 2024, CLIM SERV, V33, DOI 10.1016/j.cliser.2023.100438
   Savari M, 2024, ENVIRON SUSTAIN IND, V21, DOI 10.1016/j.indic.2023.100325
   Savari M, 2024, NAT HAZARDS, V120, P1395, DOI 10.1007/s11069-023-06255-9
   Savari M, 2023, SCI TOTAL ENVIRON, V896, DOI 10.1016/j.scitotenv.2023.165216
   Savari M, 2023, J NAT CONSERV, V73, DOI 10.1016/j.jnc.2023.126419
   Savari M, 2023, FRONT PSYCHOL, V13, DOI 10.3389/fpsyg.2022.1090723
   Savari M, 2022, GLOB ECOL CONSERV, V35, DOI 10.1016/j.gecco.2022.e02102
   Savari M, 2022, INT J DISAST RISK RE, V67, DOI 10.1016/j.ijdrr.2021.102654
   Shahangian SA, 2021, J ENVIRON MANAGE, V288, DOI 10.1016/j.jenvman.2021.112466
   Shobeiri S.M., 2013, J. Environ. Sci., V11, P119
   Amghani MS, 2022, FRONT PUBLIC HEALTH, V10, DOI 10.3389/fpubh.2022.994922
   Siegrist M, 2013, RISK ANAL, V33, P50, DOI 10.1111/j.1539-6924.2012.01941.x
   Song Y, 2019, RESOUR CONSERV RECY, V145, P220, DOI 10.1016/j.resconrec.2019.02.041
   Truelove HB, 2015, GLOBAL ENVIRON CHANG, V31, P85, DOI 10.1016/j.gloenvcha.2014.12.010
   Ullah SMA, 2022, TREES FOREST PEOPLE, V7, DOI 10.1016/j.tfp.2021.100167
   van Valkengoed AM, 2019, NAT CLIM CHANGE, V9, P158, DOI 10.1038/s41558-018-0371-y
   Vassallo M, 2009, APPETITE, V52, P452, DOI 10.1016/j.appet.2008.12.008
   Wang CD, 2021, SIGNAL TRANSDUCT TAR, V6, DOI 10.1038/s41392-021-00527-1
   Wang WY, 2024, FOREST POLICY ECON, V158, DOI 10.1016/j.forpol.2023.103122
   Zhang MY, 2022, FORESTS, V13, DOI 10.3390/f13091399
NR 98
TC 0
Z9 0
U1 1
U2 1
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
EI 2351-9894
J9 GLOB ECOL CONSERV
JI Glob. Ecol. Conserv.
PD DEC
PY 2024
VL 56
AR e03311
DI 10.1016/j.gecco.2024.e03311
PG 15
WC Biodiversity Conservation; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA O0D5W
UT WOS:001367935600001
OA gold
DA 2025-01-10
ER

PT J
AU Ogasawara, MEK
   Mattos, EM
   Rocha, HR
   Wei, XH
   Ferraz, SFB
AF Ogasawara, Matheus E. K.
   Mattos, Eduardo M.
   Rocha, Humberto R.
   Wei, Xiaohua
   Ferraz, Silvio F. B.
TI Assessing Hydrological Response and Resilience of Watersheds as Strategy
   for Climatic Change Adaptation in Neotropical Region
SO SUSTAINABILITY
LA English
DT Article
DE hydrological model; water resource; climate change; watershed resilience
ID CANOPY TRANSPIRATION; FOREST DISTURBANCE; RIVER-BASIN; YIELD; BALANCE;
   COVER; STREAMFLOW; EVAPOTRANSPIRATION; VARIABILITY; CATCHMENT
AB This study aimed to assess the hydrological response and resilience of watersheds in a neotropical region to identify regions sensitive to climate variations, enabling the development of adaptive strategies in response to global environmental changes. This study applied Budyko's framework using Fuh's hydrological model rewritten by Zhou to estimate hydrological response and Budyko's metrics (deviation and elasticity) to estimate hydrological resilience to climatic changes in 26 watersheds in southeastern Brazil. The proposed modeling was able to capture the differences among the watersheds, with "m" values ranging from 1.79 to 3.63. It was possible to rank the hydrological resilience from low to high across watersheds using Budyko's metrics, where the highest values of elasticity were found in watersheds with a higher percentage of forest cover. The sensitive analyses showed that watersheds with higher "m" values are more sensitive to changes in precipitation and potential evapotranspiration. The results also demonstrate that mean elevation and stream density were two key variables that influence the "m" value; these physiographic characteristics may alter the water and energy balance of the watershed affecting the water yield. A relationship between watershed's hydrological response and resilience was proposed to identify critical areas for the stability of water yield in the watersheds, providing a guide for public policy and suggesting ways to help the management of water resources in watersheds.
C1 [Ogasawara, Matheus E. K.; Ferraz, Silvio F. B.] Univ Sao Paulo, Luiz de Queiroz Coll Agr, Dept Forest Sci, Forest Hydrol Lab, BR-13418900 Piracicaba, Brazil.
   [Mattos, Eduardo M.] Geplant Forest Technol Ltd, BR-13418360 Piracicaba, Brazil.
   [Rocha, Humberto R.] Univ Sao Paulo, Inst Astron Geophys & Atmospher Sci, Dept Atmospher Sci, BR-05508220 Sao Paulo, Brazil.
   [Wei, Xiaohua] Univ British Columbia, Dept Earth & Environm Sci, Kelowna, BC V1V 1V7, Canada.
C3 Universidade de Sao Paulo; Universidade de Sao Paulo; University of
   British Columbia
RP Ogasawara, MEK (corresponding author), Univ Sao Paulo, Luiz de Queiroz Coll Agr, Dept Forest Sci, Forest Hydrol Lab, BR-13418900 Piracicaba, Brazil.
EM matheus.ogasawara@usp.br; eduardo@geplant.com.br;
   humberto.rocha@iag.usp.br; adam.wei@ubc.ca; silvio.ferraz@usp.br
RI Ogasawara, Matheus/ABE-4182-2020; Ferraz, Silvio/C-8851-2012
OI Wei, Xiaohua (Adam)/0000-0003-2711-5636; Ribeiro da Rocha,
   Humberto/0000-0002-3809-4626; Ferraz, Silvio/0000-0003-1808-5420
FU National Council for Scientific and Technological Development of Brazil,
   CNPq [133251/2018-7]; Sao Paulo Research Support Foundation, FAPESP
   [2016/02877-5, 2018/10751-7]
FX This research was funded by the National Council for Scientific and
   Technological Development of Brazil, CNPq grant no 133251/2018-7, and by
   Sao Paulo Research Support Foundation, FAPESP grant no 2016/02877-5 and
   FAPESP grant no 2018/10751-7.
CR Abatzoglou JT, 2017, WATER RESOUR RES, V53, P7630, DOI 10.1002/2017WR020843
   Aber JD, 1995, CLIM RES, V5, P207, DOI 10.3354/cr005207
   Alvares CA, 2013, METEOROL Z, V22, P711, DOI 10.1127/0941-2948/2013/0507
   [Anonymous], 1974, Climate and Life
   Azevedo C.B., MapBiomas Brasil-Collection 4.1
   Brown AE, 2005, J HYDROL, V310, P28, DOI 10.1016/j.jhydrol.2004.12.010
   Budyko M.I., 1958, The Heat Balance of the Earth's Surface
   Buttle JM, 2000, CAN J FISH AQUAT SCI, V57, P5, DOI 10.1139/cjfas-57-S2-5
   Caldwell PV, 2016, GLOBAL CHANGE BIOL, V22, P2997, DOI 10.1111/gcb.13309
   Ceballos-Barbancho A, 2008, J HYDROL, V351, P126, DOI 10.1016/j.jhydrol.2007.12.004
   Choto M, 2019, REMOTE SENS APPL, V14, P84, DOI 10.1016/j.rsase.2019.01.003
   Choudhury BJ, 1999, J HYDROL, V216, P99, DOI 10.1016/S0022-1694(98)00293-5
   Costa MH, 2003, J HYDROL, V283, P206, DOI 10.1016/S0022-1694(03)00267-1
   Creed IF, 2014, GLOBAL CHANGE BIOL, V20, P3191, DOI 10.1111/gcb.12615
   Deo RC, 2015, ATMOS RES, V161, P65, DOI 10.1016/j.atmosres.2015.03.018
   Domingues LM, 2022, WATER-SUI, V14, DOI 10.3390/w14081286
   Ellison D, 2012, GLOBAL CHANGE BIOL, V18, P806, DOI 10.1111/j.1365-2486.2011.02589.x
   Ewers BE, 2005, PLANT CELL ENVIRON, V28, P660, DOI 10.1111/j.1365-3040.2005.01312.x
   Fan M, 2020, J WATER CLIM CHANGE, V11, P106, DOI 10.2166/wcc.2018.088
   Filoso S, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0183210
   Fischer J, 2006, FRONT ECOL ENVIRON, V4, P80, DOI 10.1890/1540-9295(2006)004[0080:BEFART]2.0.CO;2
   Ford CR, 2011, ECOHYDROLOGY, V4, P183, DOI 10.1002/eco.136
   Frauendorf TC, 2019, GLOBAL CHANGE BIOL, V25, P1344, DOI 10.1111/gcb.14584
   Fu B.P., 1981, Sci. Atmos. Sin, V5, P23, DOI DOI 10.3878/J.ISSN.1006-9895.1981.01.03
   Funk C, 2015, SCI DATA, V2, DOI 10.1038/sdata.2015.66
   Gerten D, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL024247
   Greve P, 2016, HYDROL EARTH SYST SC, V20, P2195, DOI 10.5194/hess-20-2195-2016
   Helman D, 2017, GLOBAL CHANGE BIOL, V23, P2801, DOI 10.1111/gcb.13551
   Hengl T, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0169748
   Hrachowitz M, 2013, HYDROLOG SCI J, V58, P1198, DOI 10.1080/02626667.2013.803183
   INPE (Instituto Nacional de Pesquisas Espaciais), INPE-Catalogo de Imagens
   Li D, 2013, WATER RESOUR RES, V49, P969, DOI 10.1002/wrcr.20107
   Li Q, 2017, ECOHYDROLOGY, V10, DOI 10.1002/eco.1838
   Liang W, 2015, WATER RESOUR RES, V51, P6500, DOI 10.1002/2014WR016589
   Liu JY, 2018, HYDROL EARTH SYST SC, V22, P4047, DOI 10.5194/hess-22-4047-2018
   Liu JF, 2020, HYDROL RES, V51, P1023, DOI 10.2166/nh.2020.032
   Loarie SR, 2009, NATURE, V462, P1052, DOI 10.1038/nature08649
   Marengo José Antônio, 2008, Estud. av., V22, P83
   Miguez FE, 2012, GCB BIOENERGY, V4, P509, DOI 10.1111/j.1757-1707.2011.01150.x
   Milly PCD, 2005, NATURE, V438, P347, DOI 10.1038/nature04312
   NOBRE CA, 1991, J CLIMATE, V4, P957, DOI 10.1175/1520-0442(1991)004<0957:ADARCC>2.0.CO;2
   Peng SS, 2014, P NATL ACAD SCI USA, V111, P2915, DOI 10.1073/pnas.1315126111
   Pike J.G., 1964, J. Hydrol, V2, P116, DOI [10.1016/0022-1694(64)90022-8, DOI 10.1016/0022-1694(64)90022-8]
   Polgar CA, 2011, NEW PHYTOL, V191, P926, DOI 10.1111/j.1469-8137.2011.03803.x
   Potter NJ, 2005, WATER RESOUR RES, V41, DOI 10.1029/2004WR003697
   Rennó CD, 2008, REMOTE SENS ENVIRON, V112, P3469, DOI 10.1016/j.rse.2008.03.018
   Shao QX, 2012, WATER RESOUR RES, V48, DOI 10.1029/2010WR009610
   Sheldon KS, 2019, ANNU REV ECOL EVOL S, V50, P303, DOI 10.1146/annurev-ecolsys-110218-025005
   Silva J.A., 2017, Sci. Plena, V13, P1, DOI [DOI 10.14808/SCI.PLENA.2017.109908, 10.14808/sci.plena]
   Singh AK, 2008, AGR WATER MANAGE, V95, P776, DOI 10.1016/j.agwat.2008.02.006
   Swank WT, 2001, FOREST ECOL MANAG, V143, P163, DOI 10.1016/S0378-1127(00)00515-6
   Tiezzi RO, 2019, WATER POLICY, V21, P206, DOI 10.2166/wp.2018.207
   Turc L., 1955, L'evaporation et L'ecoulement Journees De L'hydraulique, V3, P36
   USGS (U.S. Geological Survey), SRTM Documentation, 2.1
   Walther GR, 2002, NATURE, V416, P389, DOI 10.1038/416389a
   Wang SA, 2011, FOREST ECOL MANAG, V262, P1189, DOI 10.1016/j.foreco.2011.06.013
   Wei XH, 2018, GLOBAL CHANGE BIOL, V24, P786, DOI 10.1111/gcb.13983
   Wei XH, 2013, WATER-SUI, V5, P728, DOI 10.3390/w5020728
   Xavier AC, 2016, INT J CLIMATOL, V36, P2644, DOI 10.1002/joc.4518
   Xing WQ, 2018, GLOBAL PLANET CHANGE, V162, P120, DOI 10.1016/j.gloplacha.2018.01.006
   Xu XL, 2013, GEOPHYS RES LETT, V40, P6123, DOI 10.1002/2013GL058324
   Yang DW, 2007, WATER RESOUR RES, V43, DOI 10.1029/2006WR005224
   Yildiz O., 2004, Turkish Journal of Engineering and Environmental Sciences, V28, P85
   Zengin H, 2017, BOSQUE, V38, P479, DOI 10.4067/S0717-92002017000300005
   Zhang L, 2001, WATER RESOUR RES, V37, P701, DOI 10.1029/2000WR900325
   Zhang M, 2012, HYDROL EARTH SYST SC, V16, P2021, DOI 10.5194/hess-16-2021-2012
   Zhang MF, 2017, J HYDROL, V546, P44, DOI 10.1016/j.jhydrol.2016.12.040
   Zhang SL, 2016, GEOPHYS RES LETT, V43, P1140, DOI 10.1002/2015GL066952
   Zhou GY, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms6918
   Zhou GY, 2010, WATER RESOUR RES, V46, DOI 10.1029/2009WR008829
NR 70
TC 1
Z9 1
U1 1
U2 1
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD OCT
PY 2024
VL 16
IS 20
AR 8910
DI 10.3390/su16208910
PG 16
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA K1G1J
UT WOS:001341426700001
OA gold
DA 2025-01-10
ER

PT J
AU Samoura, DA
   Wahab, B
   Taiwo, OJ
   Diallo, AIP
   Bishoge, OK
AF Samoura, D. A.
   Wahab, B.
   Taiwo, O. J.
   Diallo, A. I. P.
   Bishoge, O. K.
TI Small-scale Farmers' Adoptions of Climate-smart Agricultural Practices
   in the Guinean Savanna's Agroecological Zones
SO JOURNAL OF AGRICULTURAL SCIENCES
LA English
DT Article
DE climate change adaptation; climate-smart agricultural practices;
   resilient farming systems; sustainable livelihood
ID TECHNOLOGIES; VARIABILITY; ADAPTATION; BARRIERS; AFRICA
AB Purpose: The Guinean Savanna is the largest agro-productive area in Guinea and the most vulnerable to climate-induced hazards that challenge farming practices and cause crop failures. Subsequently, smallscale farmers have recently lent themselves to climate-smart agricultural practices (CSAPs) as alternatives to maintain food security. Developing such practices has led this study to identify farmers' know-how of CSAPs and the factors motivating these practices. Research Method: Methods including household surveys, focus group discussions, key informant interviews and field observations were used to collect data from a purposive random sample of 1,500 small-scale farmers in nine agroecological zones susceptible to drought and flood. A multivariate probit model was used to determine factors influencing small-scale farmers'adoption of CSAPs. Findings: Results show that adoptions of CSAPs were influenced by farmers'socio-economic characteristics including access to income sources from non-farm activities, holding of livestock and/or a plantation, perceived impacts of climate change, and membership to a farm -based organization. Other factors such as farming experience, educational level, gender and age were also motivating farmers to adopt CSAPs. On the contrary, household size was not significant in adopting CSAPs in the Guinean Savanna. Research Limitations: This study only covers 9 of the 17 agroecological zones that make up the Guinea Savanna. Originality/value: Being the first study that showed an interest in CSAPs in the study area, it provides information that could enhance food security and communities' resilience.
C1 [Samoura, D. A.; Bishoge, O. K.] Univ NZerekore, Fac Sci & Tech, Nzerekore, Guinea.
   Univ Ibadan, Dept Urban & Reg Planning, Ibadan, Nigeria.
   [Wahab, B.] Univ Ibadan, Fac Social Sci, Dept Geog, Ibadan, Nigeria.
   [Taiwo, O. J.] Gamal Abdel Nasser Univ, Ctr Environm Studies & Res, Conakry, Guinea.
   [Diallo, A. I. P.] Natl Inst Med Res, Dar Es Salaam, Tanzania.
C3 University of Ibadan; University of Ibadan; National Institute of
   Medical Research
RP Samoura, DA (corresponding author), Univ NZerekore, Fac Sci & Tech, Nzerekore, Guinea.
EM samoura.demba@paulesi.ng.org
RI Samoura, Demba Aissata/ADJ-6692-2022
OI Samoura, Demba Aissata/0000-0003-1563-1975; Taiwo, Olalekan
   John/0000-0001-9290-379X
FU Africa Union Commission (AUC)
FX The authors thank the Africa Union Commission (AUC) for the scholarship
   and funding of the research, the Pan African University for Life and
   Earth Sciences Institute (Including Health and Agriculture) for the
   excellent learning conditions, and small-scale farmers to whom we are
   very grateful.
CR Abegunde VO, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12010195
   Adjebeng-Danquah J, 2020, SUSTAIN FUTURES, V2, DOI 10.1016/j.sftr.2020.100041
   African Development Bank Group, 2018, Country StrategyPaper2018-2022
   Akrofi-Atitianti F, 2018, LAND-BASEL, V7, DOI 10.3390/land7010030
   Alare R. S., 2018, Journal of Sustainable Development, V11, P57, DOI 10.5539/jsd.v11n5p57
   Anuga SW., 2019, GHANA J GEOGRAPHY, V11, P124, DOI [10.4314/gjg.v11i1.8, DOI 10.4314/GJG.V11I1.8]
   Apata T. G., 2012, Environmental Economics, V2, P2
   Aryal JP, 2018, INT J CLIM CHANG STR, V10, P407, DOI [10.1108/IJCCSM-02-2017-0025, 10.1108/ijccsm-02-2017-0025]
   Barasa PM, 2021, AGRONOMY-BASEL, V11, DOI 10.3390/agronomy11061255
   Bengtsson M., 2016, PLAN PERFORM QUALITA, V2, P8, DOI [DOI 10.1016/J.NPLS.2016.01.001, 10.1016/j.npls.2016.01.001]
   Callo-Concha D, 2018, CLIMATE, V6, DOI 10.3390/cli6020044
   Dara, 2013, Risk Reduction Index in West Africa: Cape Verde-Gambia-Ghana-Guinea-Niger-Senegal, Analysis of the conditions and capacities for Disaster Risk Reduction, P181
   Dime M., 2021, Etude de base d'analyse du nexus Migration, Environnement et Changement Climatique (MECC) dans les communautes les plus touchees en Republique de Guinee
   Dinesh D., 2016, Climate change adaptation in agriculture: practices and technologies Opportunities for climate action in agricultural systems
   Djamba YK, 2002, TEACH SOCIOL, V30, P380, DOI 10.2307/3211488
   Drammeh W, 2019, CURR RES NUTR FOOD S, V7, P610, DOI 10.12944/CRNFSJ.7.3.02
   FAO, 2013, Culture(s) in International Relations, DOI [10.3726/b11522, DOI 10.3726/B11522]
   FAO, 2021, The Impact of Disasters and Crises on Agriculture and Food Security: 2021, P245, DOI [10.4060/cb3673en, DOI 10.4060/CB3673EN]
   Guinean government, 2018, Contribution nationale volontaire a la mise en oeuvre des ODD au forum politique de haut niveau
   Hawkins L., 2013, Human Capital Office Learning CenterJuly, P1
   HlopheGinindza S. N., 2021, The Role of SmallScale Farmers in Ensuring Food Security in Africa, V10, DOI [10.5772/intechopen.91694, DOI 10.5772/INTECHOPEN.91694]
   Dang HL, 2014, MITIG ADAPT STRAT GL, V19, P531, DOI 10.1007/s11027-012-9447-6
   Holt J., 2016, Revision of the livelihoods zone map and descriptions for the Republic of Guinea
   Institut de Recherche Agronomique de Guinee, 2001, Notice explicative sur le zonage de la Haute Guinee
   International Fund for Agricultural Development (IFAD), 2018, Projet pour l'Agriculture Familiale, Resilience et Marche en Haute et Moyenne Guinee (AgriFARM)
   Issahaku G, 2020, AUST J AGR RESOUR EC, V64, P396, DOI 10.1111/1467-8489.12357
   Jellason NP, 2021, APPL SCI-BASEL, V11, DOI 10.3390/app11125750
   Kangogo D, 2021, LAND USE POLICY, V109, DOI 10.1016/j.landusepol.2021.105666
   Kante I. K., 2019, African Journal of Environmental Science and Technology, V13, P324, DOI [10.5897/ajest2019.2684, DOI 10.5897/AJEST2019.2684]
   Kaptymer B.L., 2019, CURR J APPL SCI TECH, V38, P1, DOI [10.9734/cjast/2019/v38i430371, DOI 10.9734/CJAST/2019/V38I430371]
   Kurgat BK, 2020, FRONT SUSTAIN FOOD S, V4, DOI 10.3389/fsufs.2020.00055
   Lynch J, 2021, FRONT SUSTAIN FOOD S, V4, DOI 10.3389/fsufs.2020.518039
   MacNairn, 2017, Guinea: Desk Study of Extension and Advisory Services: Developing local extension capacity
   Maguza-Tembo F., 2017, Asian J. Agric. Ext., Econ. Sociol., V16, P1
   Makate C, 2016, SPRINGERPLUS, V5, DOI 10.1186/s40064-016-2802-4
   Martínez JM, 2021, ECON AGRAR RECUR NAT, V21, P79, DOI 10.7201/earn.2021.01.04
   Mbuli CS, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13031523
   Mwungu C. M., 2020, HDB CLIMATE CHANGE R, P1647, DOI [10.1007/978-3-319-93336-8_78, DOI 10.1007/978-3-319-93336-8_78]
   Njuguna J., 2019, The International Journal of Humanities & Social Studies, V7, P90
   Nyangasa MA, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16091557
   NYANGAU J.O., 2020, Asian Journal of Agricultural Extension, Economics & Sociology, V38, P29
   OECD/FAO, 2016, OECD FAO AGR OUTLOOK, DOI [10.1787/agr_outlook-2016-en, 10.1787/agr_outlook-2016-5-en, DOI 10.1787/AGR_OUTLOOK-2016-EN]
   Ogada M. J., 2020, Adoption of climate-smart agricultural technologies in Lushoto Climate-Smart Villages in north-eastern Tanzania, P325
   Ogada MJ., 2021, Agric Food Secur, V10, P55, DOI [10.1186/s40066-021-00321-w, DOI 10.1186/S40066-021-00321-W]
   Omer S.A., 2020, Studies Hum. Educat, V1, P1
   Onyeneke RU, 2018, GEOJOURNAL, V83, P333, DOI 10.1007/s10708-017-9773-z
   Oyawole F. P., 2019, C CLIMATE CHANGE FOO, V9, P1
   Ozor N, 2010, J AGRIC EXT, V14, P114
   Partey ST, 2018, J CLEAN PROD, V187, P285, DOI 10.1016/j.jclepro.2018.03.199
   Phiri K, 2021, COGENT SOC SCI, V7, DOI 10.1080/23311886.2021.1970425
   Roy A., 2020, Asia-Pac J Rural Dev, V30, P7, DOI [10.1177/1018529120946159, DOI 10.1177/1018529120946159]
   Seid S., 2016, Journal of Environment and Earth Science, V6, P9
   Torquebiau E, 2018, CAH AGRIC, V27, DOI 10.1051/cagri/2018010
   USAID, 2017, Guinea Staple Food Market Fundamentals
   Wekesa B. M., 2018, Agriculture & Food Security, V7, P80, DOI 10.1186/s40066-018-0230-0
   World Bank, 2018, World Bank financing
   Zakaria A, 2020, EARTH SYST ENVIRON, V4, P257, DOI 10.1007/s41748-020-00146-w
NR 57
TC 0
Z9 0
U1 1
U2 2
PU SABARAGAMUWA UNIV SRI LANKA
PI BELIHULOYA
PA PO BOX 2, BELIHULOYA, 70140, SRI LANKA
SN 1391-9318
EI 2386-1363
J9 J AGR SCI-SRI LANKA
JI J. Agr. Sci.-Sri Lanka
PD JAN
PY 2024
VL 19
IS 1
BP 89
EP 106
DI 10.4038/jas.v19i1.9588
PG 18
WC Agriculture, Multidisciplinary
WE Emerging Sources Citation Index (ESCI)
SC Agriculture
GA OL5D3
UT WOS:001207432600002
OA gold
DA 2025-01-10
ER

PT C
AU Tzeiranaki, ST
   Tsoutsos, T
AF Tzeiranaki, Sofia Tsemekidi
   Tsoutsos, Theocharis
BE Rajagopalan, P
   Soebarto, V
   Akbari, H
TI Impact of increased ambient temperatures due to climate change in human
   health: evidence from four European countries
SO 6TH INTERNATIONAL CONFERENCE ON COUNTERMEASURES TO URBAN HEAT ISLANDS,
   UHI 2023
SE International Conference on Countermeasures to Urban Heat Islands
LA English
DT Proceedings Paper
CT 6th International Conference on Countermeasures to Urban Heat Islands
   (IC2UHI)
CY DEC 04-07, 2023
CL RMIT Univ, Sch Property Construct & Project Management, Melbourne,
   AUSTRALIA
SP RMIT Univ, Sustainable Bldg Innovat Lab, Cool Roof Rating Council
HO RMIT Univ, Sch Property Construct & Project Management
DE climate change adaptation; urban overheating; vulnerability; urban
   health
AB A rise in urban overheating due to the increased ambient temperatures has occurred during the last decades. Cooling Degree Days at the European Union level were increased by 173.9% from 1979 to 2021. Heatwaves, Urban Heat Islands and extreme weather conditions became significant risks for cities, especially for vulnerable citizens, as they lead to respiratory problems and increased mortality. This article studies the consequences of increased ambient temperatures on human health and living conditions in the context of climate change using statistical analysis, based on Eurostat data. It assesses the impact of overheating on mortality rates in the regions of four European countries (Italy, Spain, Greece, and France) from 2014 onwards and examines which of these regions were mostly affected through their correlation coefficients. By identifying the climatic and geospatial characteristics that make a region more vulnerable to overheating, policy planning could be more targeted and effective. Results showed strong correlations between mortality and overheating in many cases, and sometimes, the coefficient was higher than 80%. Regarding characteristics that enhance a region's vulnerability, there are the distance from the sea, the continental climate, the increased energy poverty levels, and the urbanization degree. Finally, it is important to note that deaths due to the exceptional event of COVID-19 taking place after 2020 significantly affected the result patterns. This analysis was essential to highlight the zones that could be less resilient in the future, so that the stakeholders can adopt the appropriate measures that will emphasize on them.
C1 [Tzeiranaki, Sofia Tsemekidi; Tsoutsos, Theocharis] Engn Tech Univ Crete, Khania, Greece.
RP Tzeiranaki, ST (corresponding author), Engn Tech Univ Crete, Khania, Greece.
EM stsemekidi1@tuc.gr; ttsoutsos@tuc.gr
CR Aboura S, 2022, ENVIRON RES, V208, DOI 10.1016/j.envres.2021.112484
   [Anonymous], WHO WEBSITE
   European Commission, 2018, The European Green Deal COM (2019) 640 final, DOI [10.2833/9937, DOI 10.2833/9937]
   European Commission-Eurostat, Eurostat Database on Energy Statistics
   Gasparrini A, 2015, LANCET, V386, P369, DOI 10.1016/S0140-6736(14)62114-0
   Hurlimann AC, 2021, SUSTAIN CITIES SOC, V70, DOI 10.1016/j.scs.2021.102890
   Ji J.S., 2022, Heatwave sears China: Need for actionable climate change adaptation to protect public health, V25
   Linares C, 2020, ENVIRON RES, V182, DOI 10.1016/j.envres.2019.109107
   Liu C, 2017, BUILD ENVIRON, V122, P1, DOI 10.1016/j.buildenv.2017.05.028
   Machard A, 2023, ENERG BUILDINGS, V284, DOI 10.1016/j.enbuild.2022.112758
   Negev M, 2022, URBAN CLIM, V43, DOI 10.1016/j.uclim.2022.101146
   Robine JM, 2008, CR BIOL, V331, P171, DOI 10.1016/j.crvi.2007.12.001
   Rocque RJ, 2021, BMJ OPEN, V11, DOI 10.1136/bmjopen-2020-046333
   Romanello M, 2021, LANCET, V398, P1619, DOI [10.1016/S0140-6736(21)01787-6, 10.1016/S0140-6736(23)01859-7]
   Salata F, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103518
   Seker M, 2022, ATMOS RES, V280, DOI 10.1016/j.atmosres.2022.106440
   Sheehan MC, 2021, ENVIRON RES, V196, DOI 10.1016/j.envres.2020.110435
   Tsitoura M, 2016, SUSTAIN CITIES SOC, V26, P48, DOI 10.1016/j.scs.2016.05.006
   Tzeiranaki ST, 2019, ENERGIES, V12, DOI 10.3390/en12061065
   Wondmagegn BY, 2021, SCI TOTAL ENVIRON, V773, DOI 10.1016/j.scitotenv.2021.145656
   Zhou L, 2022, ENVIRON INT, V170, DOI 10.1016/j.envint.2022.107602
NR 21
TC 0
Z9 0
U1 1
U2 1
PU RMIT PUBLISHING
PI MELBOURNE
PA DIVISION RMIT TRAINING PTY LTD ACN 006 067 349, PO BOX 12058 A BECKETT
   STREET, MELBOURNE, VICTORIA 8006, AUSTRALIA
BN 978-0-646-88538-4
J9 Int Con Urban Heat I
PY 2023
BP 12
EP 20
PG 9
WC Engineering, Civil; Regional & Urban Planning
WE Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Engineering; Public Administration
GA BX7QQ
UT WOS:001324886100002
DA 2025-01-10
ER

PT J
AU Forsyth, T
   McDermott, CL
   Dhakal, R
AF Forsyth, Tim
   McDermott, Constance L.
   Dhakal, Rabindra
TI What is equitable about equitable resilience? Dynamic risks and
   subjectivities in Nepal
SO WORLD DEVELOPMENT
LA English
DT Article
ID CLIMATE-CHANGE ADAPTATION; POLICY-MAKING; JUSTICE; POLITICS; GENDER;
   TRANSFORMATION; VULNERABILITY; CASTE; AUTHORITY; POWER
AB Equitable resilience is an increasing focus of development policy, but there is still insufficient attention to how the framings of equity itself shape what, and who, is targeted through development efforts. Universalistic assumptions about climate risk or social marginalization can define equity in ways that hide dynamic and intersectional influences on what constitutes risk to whom under different circumstances. This paper investigates the implications of two different equity framings for resilience in Jumla District, western Nepal. Drawing on more than one hundred household surveys plus in-depth qualitative interviews in six villages, we find that state-led efforts to present post-civil war development as the "equal distribution " of roads and infrastructure, agricultural commercialization, and protection against systemic climate risk fail to reflect local experiences of risk, which are often expressed in terms of social exclusion rather than vulnerability to climate change. Yet, simultaneously, other efforts at building resilience that use caste and gender as indicators of social marginalization overlook how transitions in livelihoods and individual agency have changed vulnerability contexts for many people, or the increasing vulnerability to climate change of more landed farmers. The paper urges more critical attention to how normative framings of equity shape what, and for whom is considered equitable resilience, including assumptions about transformative change from analysts themselves. Representing risks and vulnerability in terms of socially marginalized groups alone might deny the dynamic, intersectional, and contextual interconnection of risks and social agency; and might impose unhelpful subjectivities of their own. (C) 2022 Elsevier Ltd. All rights reserved.
C1 [Forsyth, Tim] London Sch Econ & Polit Sci, Dept Int Dev, Houghton St, London WC2A 2AE, England.
   [McDermott, Constance L.] Univ Oxford, Environm Change Inst, Ctr Environm, South Pk Rd, Oxford OX1 3QY, England.
C3 University of London; London School Economics & Political Science;
   University of Oxford
RP Forsyth, T (corresponding author), London Sch Econ & Polit Sci, Dept Int Dev, Houghton St, London WC2A 2AE, England.
RI Forsyth, Tim/K-1044-2019
OI Forsyth, Tim/0000-0001-7227-9475; McDermott,
   Constance/0000-0002-5238-0936
FU Rockefeller Foundation, United States
FX This research was funded by the Rockefeller Foundation, United States:
   project entitled "Resilience and access to sustainable growth in upland
   Nepal and Myanmar."
CR Adhikari KP, 2016, MOD ASIAN STUD, V50, DOI 10.1017/S0026749X15000438
   Agyeman J, 2016, ANNU REV ENV RESOUR, V41, P321, DOI 10.1146/annurev-environ-110615-090052
   Akehurst Michael., 1976, INT LAW COMP LAW Q, V25, P801, DOI DOI 10.1093/ICLQAJ/25.4.801
   [Anonymous], 2011, Habermas and Rawls: Disputing the Political
   [Anonymous], 2015, OVERVIEW CLIMATE CHA
   [Anonymous], 2016, The Neoliberal Subject
   [Anonymous], 2015, Indigenous and local knowledge and practices for climate resilience in Nepal, mainstreaming climate change risk management in development
   [Anonymous], 2005, Journal of Human Development, DOI [10.1080/146498805200034266, DOI 10.1080/146498805200034266]
   Arora S, 2022, DISASTERS, V46, P329, DOI 10.1111/disa.12471
   Arora-Jonsson S, 2011, GLOBAL ENVIRON CHANG, V21, P744, DOI 10.1016/j.gloenvcha.2011.01.005
   Ayers J, 2011, IDS BULL-I DEV STUD, V42, P70, DOI 10.1111/j.1759-5436.2011.00224.x
   Ayers J, 2011, GLOBAL ENVIRON POLIT, V11, P62, DOI 10.1162/GLEP_a_00043
   Beazley RobertE., 2017, Himalayan Mobilities An Exploration of the Impacts of Expanding Rural Road Networks on Social and Ecological Systems in the Nepalese Himalaya
   Beck S, 2020, ENVIRON CONSERV, V47, P220, DOI 10.1017/S0376892920000272
   Béné C, 2016, GLOBAL ENVIRON CHANG, V38, P153, DOI 10.1016/j.gloenvcha.2016.03.005
   Béné C, 2014, J INT DEV, V26, P598, DOI 10.1002/jid.2992
   Bhandari, 2018, RISING NEPAL
   Blaikie P, 2002, WORLD DEV, V30, P1255, DOI 10.1016/S0305-750X(02)00031-1
   Blythe J, 2018, ANTIPODE, V50, P1206, DOI 10.1111/anti.12405
   Bownas RA, 2015, CONTEMP SOUTH ASIA, V23, P409, DOI 10.1080/09584935.2015.1090952
   Braithwaite J, 2015, REGNET RES PAPERS, P1
   BRONFENBRENNER M, 1973, ANN AM ACAD POLIT SS, V409, P9, DOI 10.1177/000271627340900103
   Brown Katrina., 2016, RESILIENCE DEV GLOBA
   Bulkeley H, 2014, GLOBAL ENVIRON CHANG, V25, P31, DOI 10.1016/j.gloenvcha.2014.01.009
   Burton I., 2009, Earthscan Reader on Adaptation to Climate Change, eds, P89
   Butler Judith., PSYCHIC LIFE POWER T
   CAMERON MM, 1995, J ANTHROPOL RES, V51, P215, DOI 10.1086/jar.51.3.3630359
   Carr ER, 2020, GLOBAL ENVIRON CHANG, V64, DOI 10.1016/j.gloenvcha.2020.102155
   Carr ER, 2019, WORLD DEV, V122, P70, DOI 10.1016/j.worlddev.2019.05.011
   Chakraborty R, 2021, CLIMATIC CHANGE, V167, DOI 10.1007/s10584-021-03158-1
   Charlery L, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8040363
   Chaudhary Foundation, 2019, DO YOU HELP BREAK CY
   Chaudhury A., 2014, 67 CCAFS
   Clement F, 2021, GEOFORUM, V126, P68, DOI 10.1016/j.geoforum.2021.07.016
   Cote M, 2012, PROG HUM GEOG, V36, P475, DOI 10.1177/0309132511425708
   Dagan H., 2018, CORNELL INT LAW J ON, V51
   Darjee KB, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132313115
   Dekker K, 2020, URBAN POLICY RES, V38, P175, DOI 10.1080/08111146.2020.1735119
   Eden S., 2017, Environmental publics
   Ensor J, 2021, WORLD DEV, V140, DOI 10.1016/j.worlddev.2020.105360
   Ensor J, 2018, DISASTERS, V42, pS287, DOI 10.1111/disa.12304
   Ensor JE, 2019, ENVIRON SCI POLICY, V94, P227, DOI 10.1016/j.envsci.2019.01.013
   European Environment Agency, 2019, Sustainability Transitions: Policy and Practice
   Felli R., 2019, RES POLITICAL EC, V31, P267, DOI [10.1108/S0161-723020160000031014, DOI 10.1108/S0161-723020160000031014]
   Fischer HW, 2016, ENVIRON PLANN A, V48, P789, DOI 10.1177/0308518X15623278
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Forsyth T, 2018, WORLD DEV, V111, P13, DOI 10.1016/j.worlddev.2018.06.023
   Forsyth T, 2014, GEOFORUM, V54, P230, DOI 10.1016/j.geoforum.2012.12.008
   Fortier J., 1993, Contributions to Nepalese Studies, V20, P105
   Fortier J., 1995, THESIS U WISCONSIN M
   Fraser Nancy., 2003, CULTURE TOLERATION D, P86
   Fukuda-Parr S, 2019, GLOB POLICY, V10, P5, DOI 10.1111/1758-5899.12604
   Garcia A, 2021, GEOFORUM, V119, P190, DOI 10.1016/j.geoforum.2020.09.018
   Gauthier David., 1974, SOCIAL THEORY PRACTI, V3, P3
   Gilardone M, 2015, EUR J HIST ECON THOU, V22, P198, DOI 10.1080/09672567.2013.792365
   Goldin J, 2019, HUMAN GEOGRAPHY, V12
   GoN (Government of Nepal), 2019, Climate change policy, 2076 (2019)
   Gyawali D., 2016, Aid, Technology and Development: The Lessons From Nepal
   Gyawali D, 2016, IDS BULL-I DEV STUD, V47, P179, DOI 10.19088/1968-2016.192
   Haller T., 2008, Journal of Environment & Development, V17, P118, DOI 10.1177/1070496508316853
   Haller T, 2020, CONSERV SOC, V18, P252, DOI 10.4103/cs.cs_19_104
   Harris LM, 2018, RESILIENCE-ABINGDON, V6, P196, DOI 10.1080/21693293.2017.1353196
   Hatlebakk Magnus., 2010, South Asia Economic Journal, V11, P99
   Holland B, 2017, ENVIRON POLIT, V26, P391, DOI 10.1080/09644016.2017.1287625
   Ives J.D. B. Messerli., 1989, HIMALAYAN DILEMMA RE
   Jha H.B., 2019, The Janajati of Nepal
   Jones L, 2011, GLOBAL ENVIRON CHANG, V21, P1262, DOI 10.1016/j.gloenvcha.2011.06.002
   Kluegel JR, 2004, EUROPE-ASIA STUD, V56, P813, DOI 10.1080/0966813042000258051
   Lemos MC, 2011, POLITICS OF CLIMATE CHANGE: A SURVEY, 1ST EDITION, P96
   Levine S, 2014, Humanitarian Policy Group (ODI) Working Paper
   Lewison E, 2019, S ASIA, V42, P903, DOI 10.1080/00856401.2019.1639244
   Lövbrand E, 2015, GLOBAL ENVIRON CHANG, V32, P211, DOI 10.1016/j.gloenvcha.2015.03.012
   Logan TM, 2020, RISK ANAL, V40, P1538, DOI 10.1111/risa.13492
   MacKinnon D, 2013, PROG HUM GEOG, V37, P253, DOI 10.1177/0309132512454775
   Manuel-Navarrete D, 2015, GLOBAL ENVIRON CHANG, V35, P558, DOI 10.1016/j.gloenvcha.2015.08.012
   Matin N, 2018, WORLD DEV, V109, P197, DOI 10.1016/j.worlddev.2018.04.020
   Meerow S, 2019, LOCAL ENVIRON, V24, P793, DOI 10.1080/13549839.2019.1645103
   METZ JJ, 1991, WORLD DEV, V19, P805, DOI 10.1016/0305-750X(91)90134-4
   Mishra A, 2019, HINDU KUSH HIMALAYA ASSESSMENT: MOUNTAINS, CLIMATE CHANGE, SUSTAINABILITY AND PEOPLE, P457, DOI 10.1007/978-3-319-92288-1_13
   Nagoda S, 2017, WORLD DEV, V100, P85, DOI 10.1016/j.worlddev.2017.07.022
   Nagoda S, 2015, GLOBAL ENVIRON CHANG, V35, P570, DOI 10.1016/j.gloenvcha.2015.08.014
   Newell P, 2021, WIRES CLIM CHANGE, V12, DOI 10.1002/wcc.733
   Nightingale A, 2006, ENVIRON PLANN D, V24, P165, DOI 10.1068/d01k
   Nightingale AJ, 2022, WIRES CLIM CHANGE, V13, DOI 10.1002/wcc.740
   Nightingale AJ, 2019, S ASIA, V42, P886, DOI 10.1080/00856401.2019.1639111
   Nightingale AJ, 2018, ENVIRON PLAN E-NAT, V1, P688, DOI 10.1177/2514848618816467
   Nightingale AJ, 2017, GEOFORUM, V84, P11, DOI 10.1016/j.geoforum.2017.05.011
   Nightingale AJ, 2013, DEV CHANGE, V44, P29, DOI 10.1111/dech.12004
   Nightingale AJ, 2011, GEOFORUM, V42, P153, DOI 10.1016/j.geoforum.2010.03.004
   Nightingale AJ, 2020, CLIM DEV, V12, P343, DOI 10.1080/17565529.2019.1624495
   NMA, 2007, Climate Change National Adaptation Programme of Action (NAPA) of Ethiopia
   Ojha HR, 2016, CLIM POLICY, V16, P415, DOI 10.1080/14693062.2014.1003775
   Olsson L, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1400217
   Onta N, 2011, MT RES DEV, V31, P351, DOI 10.1659/MRD-JOURNAL-D-10-00085.1
   Pandey K., 2014, J ENV PROT, V2, P43
   Panta SK, 2014, GEND TECHNOL DEV, V18, P219, DOI 10.1177/0971852414529482
   Parajuli A., 2016, Indian J. Econ. Dev., V12, P427, DOI [10.5958/2322-0430.2016.00100.1, DOI 10.5958/2322-0430.2016.00100.1]
   Paudel D, 2016, ASIAN ETHN, V17, P548, DOI 10.1080/14631369.2016.1179567
   Peniston B., 2013, A review of Nepal's local adaptation plans of action (LAPA). High Mountains Adaptation Partnership
   Peter F, 2007, J INT POLIT THEORY, V3, P129, DOI 10.1177/1743453X0700300110
   Pradhan U, 2019, S ASIA, V42, P880, DOI 10.1080/00856401.2019.1642615
   Rankin KN, 2018, J PEASANT STUD, V45, P280, DOI 10.1080/03066150.2016.1216985
   Rawls J., 1971, THEORY JUSTICE
   Rawls J., 1985, Justice as Fairness - A Restatement, V2001
   Regmi BR, 2016, CLIMATIC CHANGE, V138, P537, DOI 10.1007/s10584-016-1765-3
   Rigg J, 2015, GLOBAL ENVIRON CHANG, V32, P175, DOI 10.1016/j.gloenvcha.2015.03.007
   Sahu N, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0235041
   Satyal P, 2017, ENVIRON DEV, V23, P47, DOI 10.1016/j.envdev.2017.02.010
   Saxer M, 2013, CROSS-CURR-EAST ASIA, P31
   Schischka J., 2008, Journal of Human Development, V9, P229, DOI [10.1080/14649880802078777, DOI 10.1080/14649880802078777]
   Schlosberg D, 2012, ETHICS INT AFF, V26, P445, DOI 10.1017/S0892679412000615
   Scoones I, 2020, CURR OPIN ENV SUST, V42, P65, DOI 10.1016/j.cosust.2019.12.004
   Selvaraju R:., 2014, Managing climate risks and adapting to climate change in the agriculture sector in Nepal, DOI [10.5555/20163108271, DOI 10.5555/20163108271]
   Sen A, 1980, Equality of what?
   Sen AK., 2010, IDEA JUSTICE
   Sharma B., 2016, 20163 ICIMOD
   Sharma S., 2017, AID TECHNOLOGY DEV L, P54, DOI 10.4324/9781315621630-14
   Shi LD, 2016, NAT CLIM CHANGE, V6, P131, DOI 10.1038/NCLIMATE2841
   Shneiderman S, 2016, MOD ASIAN STUD, V50, DOI 10.1017/S0026749X16000202
   Shneiderman S, 2015, MOD ASIAN STUD, V49, P1, DOI 10.1017/S0026749X1300067X
   Shrestha-Schipper S., 2010, EUROPEAN B HIMALAYAN, V35-36, P62, DOI [10.14288/1.0364832, DOI 10.14288/1.0364832]
   Shrestha-Schipper Setya, 2009, EUROPEAN B HIMALAYAN, V33-34, P105, DOI DOI 10.14288/1.0364832
   Spangler K, 2020, AGR HUM VALUES, V37, P415, DOI 10.1007/s10460-019-09997-0
   Sunam RK, 2016, J PEASANT STUD, V43, P39, DOI 10.1080/03066150.2015.1041520
   Thakur S. B., 2017, Journal of Agriculture and Environment, V18, P120
   Thakuri DS, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0256968
   Thompson M, 1998, MT RES DEV, V18, P117, DOI 10.2307/3673967
   Tschakert P, 2013, CLIM DEV, V5, P340, DOI 10.1080/17565529.2013.828583
   UNDP, 2014, HUMAN DEV REPORT 201
   Wagner L, 2018, STUD ETHN NATL, V18, P147, DOI 10.1111/sena.12273
   Weichselgartner J, 2015, PROG HUM GEOG, V39, P249, DOI 10.1177/0309132513518834
   World Bank, 2010, NEP PIL PROGR CLIM R
   Wynne Brian., 1996, RISK ENV MODERNITY N, P44
NR 133
TC 1
Z9 1
U1 2
U2 27
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0305-750X
EI 1873-5991
J9 WORLD DEV
JI World Dev.
PD NOV
PY 2022
VL 159
AR 106020
DI 10.1016/j.worlddev.2022.106020
EA JUL 2022
PG 14
WC Development Studies; Economics
WE Social Science Citation Index (SSCI)
SC Development Studies; Business & Economics
GA 3G1GJ
UT WOS:000831103700001
OA Green Submitted, Green Accepted
DA 2025-01-10
ER

PT J
AU Moritz, MA
   Hazard, R
   Johnston, K
   Mayes, M
   Mowery, M
   Oran, K
   Parkinson, AM
   Schmidt, DA
   Wesolowski, G
AF Moritz, Max A.
   Hazard, Rob
   Johnston, Kelly
   Mayes, Marc
   Mowery, Molly
   Oran, Katie
   Parkinson, Anne-Marie
   Schmidt, David A.
   Wesolowski, Graham
TI Beyond a Focus on Fuel Reduction in the WUI: The Need for Regional
   Wildfire Mitigation to Address Multiple Risks
SO FRONTIERS IN FORESTS AND GLOBAL CHANGE
LA English
DT Article
DE Regional Wildfire Mitigation Program; WUI; community resilience; built
   environment hardening; landscape fire buffers; fire hazard mapping;
   spatial risk assessment
ID WILDLAND-URBAN INTERFACE; VULNERABILITY; PROTECTION; INTEGRATION;
   PREDICTION; MANAGEMENT
AB There are thousands of communities and millions of homes in fire-prone wildland-urban interface (WUI) environments. Although future developments may be sited and designed to be more survivable and resistant to losses, an over-arching strategy is needed for those that are already at high risk. Traditionally, most plans for protecting WUI inhabitants focus on fuel reduction in strategic locations (e.g., defensible space around homes, fuel breaks around communities). While this approach can reduce fire hazard in specific locations and under certain weather conditions, there are a variety of vulnerabilities that are not directly addressed by fuel reduction. A more comprehensive approach is needed - one that facilitates climate change adaptation and future resilience - to mitigate multiple fire-related risks. A Regional Wildfire Mitigation Program (RWMP), expanding on traditional approaches to wildfire protection, is a key step in this direction. The goals of an RWMP include (1) retrofitting of the built environment (i.e., structural ignition vulnerabilities, water supply deficiencies, evacuation constraints); (2) buffering the landscape (i.e., a mosaic of less flammable land uses complementing traditional fuel breaks); and (3) training the community (i.e., education to become fire-adapted). We demonstrate here a consistent methodology for mapping hazards and vulnerabilities, assessing the risks of multiple negative impacts, prioritizing diverse mitigation activities, and implementing solutions that are effective and portable across many WUI environments.
C1 [Moritz, Max A.] Univ Calif Santa Barbara, Bren Sch Environm Sci & Management, Santa Barbara, CA USA.
   [Moritz, Max A.] Univ Calif, Cooperat Extens, Oakland, CA USA.
   [Hazard, Rob] Santa Barbara Cty Fire, Santa Barbara, CA USA.
   [Johnston, Kelly; Mowery, Molly; Oran, Katie] Community Wildfire Planning Ctr, Boulder, CO USA.
   [Mayes, Marc; Wesolowski, Graham] Nat Assets Lab SIG NAL, Spatial Informat Grp, Santa Barbara, CA USA.
   [Mayes, Marc] Univ Calif Santa Barbara, Earth Res Inst, Santa Barbara, CA USA.
   [Parkinson, Anne-Marie] Santa Barbara Cty Fire Safe Council, Santa Barbara, CA USA.
   [Schmidt, David A.] Spatial Informat Grp SIG, Pleasanton, CA USA.
C3 University of California System; University of California Santa Barbara;
   University of California System; University of California Berkeley;
   University of California System; University of California Santa Barbara
RP Moritz, MA (corresponding author), Univ Calif Santa Barbara, Bren Sch Environm Sci & Management, Santa Barbara, CA USA.; Moritz, MA (corresponding author), Univ Calif, Cooperat Extens, Oakland, CA USA.
EM mmoritz@ucsb.edu
OI Mayes, Marc/0000-0003-0369-774X
CR Abrams J, 2016, J ENVIRON PLANN MAN, V59, P557, DOI 10.1080/09640568.2015.1030498
   Anderson S., 2020, RESOURCES FUTURE WOR
   Ardron J.A., 2010, Marxan Good Practices Handbook Version 2
   Berkes F., 2003, Navigating social and ecological systems: building resilience for complexity and change, DOI DOI 10.1017/CBO9780511541957
   Brenkert-Smith H, 2012, ENVIRON MANAGE, V50, P1139, DOI 10.1007/s00267-012-9949-8
   Butsic V, 2015, LAND-BASEL, V4, P140, DOI 10.3390/land4010140
   Calkin DE, 2014, P NATL ACAD SCI USA, V111, P746, DOI 10.1073/pnas.1315088111
   Chapin FS, 2006, AM NAT, V168, pS36, DOI 10.1086/509047
   Chuvieco E, 2014, GLOBAL ECOL BIOGEOGR, V23, P245, DOI 10.1111/geb.12095
   Cova TJ, 2013, GEOJOURNAL, V78, P273, DOI 10.1007/s10708-011-9419-5
   Cui XL, 2019, J ENVIRON MANAGE, V233, P329, DOI 10.1016/j.jenvman.2018.12.043
   Curran TJ, 2018, FIRE-BASEL, V1, DOI 10.3390/fire1010003
   Davies IP, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0205825
   Dye AW, 2021, NAT HAZARDS, V107, P911, DOI 10.1007/s11069-021-04615-x
   Finney MA, 2011, STOCH ENV RES RISK A, V25, P973, DOI 10.1007/s00477-011-0462-z
   Grayzeck-Souter SA, 2009, INT J WILDLAND FIRE, V18, P278, DOI 10.1071/WF08081
   Intergovernmental Panel on Climate Change (IPCC), 2023, Climate Change 2021The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel On Climate Change, DOI [10.1017/9781009325844.001, DOI 10.1017/9781009157940, 10.1017/9781009157896]
   Jakes P.J., 2007, The fire environment--innovations, management, and policy; conference proceedings. 26-30 March 2007; Destin, P613
   Jakes PJ, 2013, INT J WILDLAND FIRE, V22, P1134, DOI 10.1071/WF12156
   Javadi S, 2017, J HYDROL, V549, P27, DOI 10.1016/j.jhydrol.2017.03.060
   Jones C, 2021, ATMOS RES, V249, DOI 10.1016/j.atmosres.2020.105305
   Kocher SD, 2017, LAND-BASEL, V6, DOI 10.3390/land6020024
   Manzello SL, 2018, FIRE SAFETY J, V100, P76, DOI 10.1016/j.firesaf.2018.07.002
   March A, 2015, PLAN PRACT RES, V30, P33, DOI 10.1080/02697459.2014.937138
   Mayes M, 2020, HYDROL PROCESS, V34, P4884, DOI 10.1002/hyp.13942
   McFarlane BL, 2011, INT J WILDLAND FIRE, V20, P921, DOI 10.1071/WF10096
   McLennan J, 2015, INT J DISAST RISK RE, V12, P319, DOI 10.1016/j.ijdrr.2015.02.007
   Mell WE, 2010, INT J WILDLAND FIRE, V19, P238, DOI 10.1071/WF07131
   Méndez M, 2020, GEOFORUM, V116, P50, DOI 10.1016/j.geoforum.2020.07.007
   Moritz M.A., 2020, BUILDING COEXIST FIR, DOI [10.3733/ucanr.8680, DOI 10.3733/UCANR.8680]
   Moritz MA, 2014, NATURE, V515, P58, DOI 10.1038/nature13946
   Nielsen-Pincus M, 2019, FIRE-BASEL, V2, DOI 10.3390/fire2040059
   Pastor E, 2020, FIRE TECHNOL, V56, P1831, DOI 10.1007/s10694-019-00883-z
   Radeloff VC, 2005, ECOL APPL, V15, P799, DOI 10.1890/04-1413
   Schulze SS, 2021, ACS EST WATER, V1, P291, DOI 10.1021/acsestwater.0c00073
   Scott JH, 2013, General Technical Report GTR-315, P83, DOI [10.2737/rmrs-gtr-315, DOI 10.2737/RMRS-GTR-315]
   Shlisky Ayn, 2009, P65, DOI 10.1007/978-3-540-77381-8_3
   Silva J.S., 2010, INTEGRATED FIRE MANA, P229
   Smith AMS, 2016, BIOSCIENCE, V66, P130, DOI 10.1093/biosci/biv182
   Society of American Foresters [SAF], 2004, PREP COMM WILDF PROT
   Spies TA, 2014, ECOL SOC, V19, DOI 10.5751/ES-06584-190309
   Vogler KC, 2015, FORESTS, V6, P4403, DOI 10.3390/f6124375
   Winowiecki L., 2011, Sustainability: Science, Practice and Policy, V7, P74, DOI DOI 10.1080/15487733.2011.11908067
   Writer JH, 2014, J AM WATER WORKS ASS, V106, pE189, DOI 10.5942/jawwa.2014.106.0055
NR 44
TC 12
Z9 13
U1 2
U2 31
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2624-893X
J9 FRONT FOR GLOB CHANG
JI Front. For. Glob. Change
PD MAY 11
PY 2022
VL 5
AR 848254
DI 10.3389/ffgc.2022.848254
PG 13
WC Ecology; Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Forestry
GA 1M5VK
UT WOS:000800036500001
OA gold
DA 2025-01-10
ER

PT J
AU Gona, LS
   Gumindoga, W
   Rwasoka, DT
   Owen, RJS
AF Gona, Liberty S.
   Gumindoga, Webster
   Rwasoka, Donald T.
   Owen, Richard J. Stuart
TI Impact of climate change on groundwater potential and recharge in the
   drought prone Runde catchment of Zimbabwe
SO WATER SUPPLY
LA English
DT Article
DE GIS; precipitation; simulated rainfall; validation; wetness index
ID HOMOGENEITY; RAINFALL
AB Groundwater provides critical freshwater supplies for most rural communities living in drought-prone areas. Such is the case for Runde catchment in Zimbabwe, whose rural communities depend on groundwater. Climate change and increased variability pose a threat water availability by affecting groundwater potential and recharge, but the full extent of the threat is not well understood. Thus, the main objective of this study was to assess the impact of climate change on groundwater potential and recharge in the catchment. The groundwater potential mapping was performed using spatially weighted overlay method with inputs: soil type, geology, land use, observed precipitation, topographic wetness index and elevation. This mapping produced a groundwater potential index, classified into groundwater potential zones and cross-validated with borehole yield data, r=0.63 and n=62. The groundwater potential validation showed 1.6% and 4.8% of the total boreholes were in the high (>7 l/s) to very high (4-7 l/s) while 43.5% and 50.1% moderate (1-4 l/s), and low (<1 l/s) groundwater potential zones respectively. The simulated precipitation increased by 23% for 2020-2080s. Climate change impacts decreased average groundwater potential by 30.8% (13,062.90 km(2)) low, 5.8% (2,433.25 km(2)) moderate and increased by 34.8% (14,707 km(2)) high by 1.8% (789.15 km(2)) very high groundwater potential. For sustainable groundwater management, a holistic approach informs climate change adaptation and mitigation policies.
C1 [Gona, Liberty S.; Gumindoga, Webster] Univ Zimbabwe, Dept Civil Engn, Box 167, Mt Pleasant, Zimbabwe.
   [Rwasoka, Donald T.] Upper Manyame Subcatchment Council, Box 1892, Harare, Zimbabwe.
   [Owen, Richard J. Stuart] Univ Zimbabwe, Dept Geol, Mt Pleasant, Zimbabwe.
C3 University of Zimbabwe; University of Zimbabwe
RP Gona, LS (corresponding author), Univ Zimbabwe, Dept Civil Engn, Box 167, Mt Pleasant, Zimbabwe.
EM gonalibertys79@gmail.com
OI gumindoga, webster/0000-0001-8530-7383
CR Abrar H., 2021, GEOLOGY ECOLOGY LAND, DOI 10.1080/24749508.2021.1952761
   Adhikari S., 2018, Earth Planet Sci. Lett., V502
   Ahmadzadehfar H, 2021, EUR J NUCL MED MOL I, V48, P4067, DOI 10.1007/s00259-021-05383-3
   Ahmed, 2019, J BASRAH RES SCI, V2
   ALEXANDERSSON H, 1986, J CLIMATOL, V6, P661, DOI 10.1002/joc.3370060607
   Amraoui N, 2019, WATER RESOUR MANAG, V33, P2073, DOI 10.1007/s11269-019-02230-x
   Arabameri A, 2019, WATER-SUI, V11, DOI 10.3390/w11061129
   Barua S., 2020, Hydrol. Earth Syst. Sci. Discuss., V2020, P1, DOI [10.5194/hess-2020-143, DOI 10.5194/HESS-2020-143]
   Bonsor HC, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10060904
   BUISHAND TA, 1982, J HYDROL, V58, P11, DOI 10.1016/0022-1694(82)90066-X
   Calow RC, 2010, GROUND WATER, V48, P246, DOI 10.1111/j.1745-6584.2009.00558.x
   Crosbie RS, 2015, HYDROGEOL J, V23, P335, DOI 10.1007/s10040-014-1200-7
   Cullmann, 2021, 2021 STATE CLIMATE S
   Epting J, 2021, J HYDROL X, V11, DOI 10.1016/j.hydroa.2020.100071
   Gailey RobertM., 2018, Approaches for Groundwater Management in Times of Depletion and Regulatory Change By
   Gintamo, 2016, GROUND WATER POTENTI
   Gumindoga W, 2020, PHYS CHEM EARTH, V115, DOI 10.1016/j.pce.2019.11.004
   Hao YL, 2020, HYDROGEOL J, V28, P2457, DOI 10.1007/s10040-020-02199-7
   Houston J., 1988, Estimation of Natural Groundwater Recharge, P349, DOI 10.1007/978-94-015-7780-922
   Interconsult, 1985, 22 MIN EN WAT RES DE
   Kemper KE, 2004, HYDROGEOL J, V12, P3, DOI 10.1007/s10040-003-0305-1
   Kendall M. G., 1948, Rank correlation methods.
   Kusangaya S, 2014, PHYS CHEM EARTH, V67-69, P47, DOI 10.1016/j.pce.2013.09.014
   Lambert, 1991, IRRIGATION LOUGHBORO
   Larsen F, 2002, PHYS CHEM EARTH, V27, P765, DOI 10.1016/S1474-7065(02)00064-5
   Liang XY, 2018, WATER RESOUR RES, V54, P1513, DOI 10.1002/2017WR022046
   MacDonald AM, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/2/024009
   MacDonald A.M., 2013, HDB LAND WATER GRABS, P1
   MacDonald AM, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abd661
   Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187
   Masimba O, 2019, PHYS CHEM EARTH, V114, DOI 10.1016/j.pce.2019.07.001
   Maviza A, 2021, SN APPL SCI, V3, DOI 10.1007/s42452-021-04512-9
   Molina, 2019, ENV SYSTEMS RES, V8, P1, DOI [10.1186/s40068-019-0161-1, DOI 10.1186/S40068-019-0161-1]
   Moses O, 2018, WEATHER CLIM EXTREME, V21, P102, DOI 10.1016/j.wace.2018.07.004
   Nikulin G, 2012, J CLIMATE, V25, P6057, DOI 10.1175/JCLI-D-11-00375.1
   Owen R.J.S., 1989, R4239 ODA
   Pettitt A. N., 1979, Applied Statistics, V28, P126, DOI 10.2307/2346729
   Pohlert T., 2016, Non-parametric trend tests and change-point detection, DOI DOI 10.13140/RG.2.1.2633.4243
   Rahmati O, 2015, ARAB J GEOSCI, V8, P7059, DOI 10.1007/s12517-014-1668-4
   Rajaveni SP, 2017, APPL WATER SCI, V7, P1377, DOI 10.1007/s13201-015-0327-6
   Saaty T.L., 1980, The Analytic Hierarchy Process, DOI [DOI 10.21236/ADA214804, 10.1201/9780429504419-2, DOI 10.1201/9780429504419-2]
   SADC-GMI, 2019, POL LEG I DEV GROUND
   Shivakoti B.R., 2019, STRATEGIC USE GROUND, P1
   Sibanda T, 2009, HYDROGEOL J, V17, P1427, DOI 10.1007/s10040-009-0445-z
   Taylor RG, 2019, HYDROGEOL J, V27, P443, DOI 10.1007/s10040-019-01946-9
   UNDP, 2021, SPEC REP DROUGHT 202
   USAID, 2020, MAN GROUNDW DROUGHT
   Warnatzsch EA, 2019, SCI TOTAL ENVIRON, V654, P378, DOI 10.1016/j.scitotenv.2018.11.098
   WMO, 2021, State of the Climate in Africa 2020 WMO-No 1275
   Woldesenbet A.B., 2020, ENV SYST RES, V9
   Wolf, 2015, SUSTAINABLE SANITATI, P1
   Wu WY, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-17581-y
NR 52
TC 3
Z9 3
U1 0
U2 10
PU IWA PUBLISHING
PI LONDON
PA REPUBLIC-EXPORT BLDG, UNITS 1 04 & 1 05, 1 CLOVE CRESCENT, LONDON,
   ENGLAND
SN 1606-9749
EI 1607-0798
J9 WATER SUPPLY
JI Water Supply
PD JUL
PY 2022
VL 22
IS 7
BP 6405
EP 6426
DI 10.2166/ws.2022.144
EA MAR 2022
PG 22
WC Engineering, Environmental; Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology; Water Resources
GA 3J7VV
UT WOS:000772009900001
OA gold
DA 2025-01-10
ER

PT J
AU Elheddad, M
   Benjasak, C
   Deljavan, R
   Alharthi, M
   Almabrok, JM
AF Elheddad, Mohamed
   Benjasak, Chonlakan
   Deljavan, Rana
   Alharthi, Majed
   Almabrok, Jaballa M.
TI The effect of the Fourth Industrial Revolution on the environment: The
   relationship between electronic finance and pollution in OECD countries
SO TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
LA English
DT Article
DE Electronic finance; Panel data; Instrumental variables (ivs);
   Environmental Kuznets curve; GDP; Fourth Industrial Revolution
ID RENEWABLE ENERGY-CONSUMPTION; CARBON-DIOXIDE EMISSIONS; KUZNETS CURVE
   HYPOTHESIS; ECONOMIC-GROWTH EVIDENCE; CO2 EMISSIONS; COMMUNICATION
   TECHNOLOGY; SUSTAINABLE DEVELOPMENT; INTERNATIONAL-TRADE; PANEL-DATA;
   INFORMATION
AB It is indisputable that the Fourth Industrial Revolution has reshaped the way we live, work, and interact. The information and technology (IT) age has led to radical economic changes in both the relationships between individuals, companies, and governments and in the environment they exist in. Currently, electronic finance (e-finance) and environmental quality are critical issues that have received significant research attention in the form of climate change adaptation and mitigation strategies. With this in mind, this study aims to investigate the impact of e-finance on CO2 emissions. The study crafts a model with numerous control variables, including renewable and non-renewable energy consumption, urbanisation, manufacturing, and an environmental Kuznets curve (EKC) for the 29 OECD countries from 2007 to 2016. Fixed and random effects models of panel data are employed to control for the possible heterogeneity between countries. In addition, the study uses an instrumental variable estimation approach and a Canay(2011) panel quantile regression as a robustness check. The main results reveal that e-finance reduces CO2 emissions in Organisation for Economic Cooperation and Development (OECD) countries and leads to a lower pollution rate. The paper also finds that the EKC hypothesis holds. These findings have several important policy implications for OECD countries, and the model may be extended to investigate similar issues in developing economies.
C1 [Elheddad, Mohamed] Sch Syst Univ Coll Ctr, Birmingham, W Midlands, England.
   [Elheddad, Mohamed] Misurata Univ, Fac Polit & Econ, Misrata, Libya.
   [Benjasak, Chonlakan] Walailak Univ, Sch Management, Thaiburi, Thailand.
   [Deljavan, Rana] Johnson Gutenberg Univ Mainz, Mainz, Germany.
   [Alharthi, Majed] King Abdulaziz Univ, Coll Business, Finance Dept, POB 344, Rabigh 21911, Saudi Arabia.
   [Almabrok, Jaballa M.] Omar Al Mukhtar Univ, Business Sch, Al Bayda, Libya.
C3 King Abdulaziz University; Omar Al Mukhtar University
RP Elheddad, M (corresponding author), Sch Syst Univ Coll Ctr, Birmingham, W Midlands, England.; Elheddad, M (corresponding author), Misurata Univ, Fac Polit & Econ, Misrata, Libya.
EM bchonlak@mail.wu.ac.th; rdeljava@stdudents.uni-mainz.de;
   mdalharthi@kau.edu.sa; jaballa.mohammed@omu.edu.ly
RI Elheddad, Mohamed/P-6154-2019
OI Elheddad, Mohamed/0000-0002-4175-4808
CR Acaravci A, 2010, ENERGY, V35, P5412, DOI 10.1016/j.energy.2010.07.009
   Acemoglu D, 2018, AM ECON REV, V108, P1488, DOI 10.1257/aer.20160696
   Al-Mulali U, 2015, NAT HAZARDS, V79, P621, DOI 10.1007/s11069-015-1865-9
   Allen F., 2002, Journal of Financial Sendees Research, V22, P5, DOI [10.1023/A:1016007126394, DOI 10.1023/A:1016007126394]
   Alonso-Borrego C, 1999, J BUS ECON STAT, V17, P36, DOI 10.2307/1392237
   [Anonymous], 2008, ECONOMETRIC ANAL PAN
   [Anonymous], 2019, Economic Growth
   Anser M.K., 2020, CLEAN TECHN ENV POLI, P1
   ARELLANO M, 1991, REV ECON STUD, V58, P277, DOI 10.2307/2297968
   Azomahou T, 2006, J PUBLIC ECON, V90, P1347, DOI 10.1016/j.jpubeco.2005.09.005
   Ben Jebli M, 2016, ECOL INDIC, V60, P824, DOI 10.1016/j.ecolind.2015.08.031
   Bilgili F, 2016, RENEW SUST ENERG REV, V54, P838, DOI 10.1016/j.rser.2015.10.080
   Bölük G, 2014, ENERGY, V74, P439, DOI 10.1016/j.energy.2014.07.008
   Bomhof F., 2009, COMMUN STRATEG, V77
   Cameron AdrianColin., 2009, Indicator, V2, P47
   Canay IA, 2011, ECONOMET J, V14, P368, DOI 10.1111/j.1368-423X.2011.00349.x
   Churchill SA, 2018, ENERG ECON, V75, P389, DOI 10.1016/j.eneco.2018.09.004
   Claessens S., 2002, ELECT FINANCE NEW AP
   Coad A, 2006, ECON BULL, V15
   Cohen MJ, 1997, FUTURES, V29, P105, DOI 10.1016/S0016-3287(96)00071-7
   Cole MA., 1997, ENVIRON DEV ECON, V2, P401, DOI DOI 10.1017/S1355770X97000211
   Coroama VC, 2013, J IND ECOL, V17, P680, DOI 10.1111/jiec.12048
   Dinda S, 2004, ECOL ECON, V49, P431, DOI 10.1016/j.ecolecon.2004.02.011
   Dobson S, 2012, WORLD DEV, V40, P1534, DOI 10.1016/j.worlddev.2012.04.015
   Doytch N, 2016, ECON SYST, V40, P582, DOI 10.1016/j.ecosys.2016.02.005
   Faisal F, 2018, ENVIRON SCI POLLUT R, V25, P11536, DOI 10.1007/s11356-018-1341-7
   Flores CA, 2014, ECONOMET REV, V33, P815, DOI 10.1080/07474938.2013.806148
   Freund C, 2002, AM ECON REV, V92, P236, DOI 10.1257/000282802320189320
   Freund CL, 2004, J INT ECON, V62, P171, DOI 10.1016/S0022-1996(03)00059-X
   Galeotti M, 1999, ENERG POLICY, V27, P565, DOI 10.1016/S0301-4215(99)00047-6
   Gomber P., 2017, J BUSINESS EC, V87, P1, DOI [10.1007/s11573-017-0852-x, DOI 10.1007/S11573-017-0852-X]
   GROSSMAN GM, 1995, Q J ECON, V110, P353, DOI 10.2307/2118443
   HAUSMAN JA, 1978, ECONOMETRICA, V46, P1251, DOI 10.2307/1913827
   Herweijer C., 2018, EC DISCUSSION PAPERS
   Hilty LM, 2010, INFORM COMMUN SOC, V13, P7, DOI 10.1080/13691180903322805
   Houghton JW, 2010, IFIP ADV INF COMM TE, V328, P236
   International Energy Agency, 2019, INT EN OUTL
   Ishida H, 2015, TELEMAT INFORM, V32, P79, DOI 10.1016/j.tele.2014.04.003
   Iwata H, 2012, APPL ECON, V44, P3513, DOI 10.1080/00036846.2011.577023
   Jiang S, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16224340
   Jokinen P, 1998, FUTURES, V30, P485, DOI 10.1016/S0016-3287(98)00054-8
   KOENKER R, 1978, ECONOMETRICA, V46, P33, DOI 10.2307/1913643
   Koop G, 1999, J DEV ECON, V58, P231, DOI 10.1016/S0304-3878(98)00110-2
   Lean HH, 2009, 0913 DEVDP, P09
   Lee JW, 2014, GLOBAL ECON REV, V43, P93, DOI 10.1080/1226508X.2014.917803
   Li GP, 2017, CHINESE GEOGR SCI, V27, P626, DOI 10.1007/s11769-017-0890-x
   Liddle B, 2013, ENVIRON MODELL SOFTW, V40, P255, DOI 10.1016/j.envsoft.2012.10.002
   Martínez-Zarzoso I, 2004, ECON LETT, V82, P121, DOI 10.1016/j.econlet.2003.07.008
   Moyer JD, 2012, TECHNOL FORECAST SOC, V79, P919, DOI 10.1016/j.techfore.2011.12.005
   Nasir MA, 2019, J ENVIRON MANAGE, V242, P131, DOI 10.1016/j.jenvman.2019.03.112
   Ndung'u N., 2020, Capturing the fourth industrial revolution: a regional and national agenda
   Ozcan B, 2018, ENVIRON SCI POLLUT R, V25, P4174, DOI 10.1007/s11356-017-0825-1
   Peng GCA, 2013, CHINA INT J, V11, P68
   Roberts JT, 1997, WORLD DEV, V25, P191, DOI 10.1016/S0305-750X(96)00104-0
   Saboori B, 2012, ENERG POLICY, V51, P184, DOI 10.1016/j.enpol.2012.08.065
   Sadorsky P, 2011, ENERG POLICY, V39, P999, DOI 10.1016/j.enpol.2010.11.034
   Salahuddin M, 2016, INT J ELEC POWER, V76, P185, DOI 10.1016/j.ijepes.2015.11.005
   Schmalensee R, 1998, REV ECON STAT, V80, P15, DOI 10.1162/003465398557294
   Schueffel P., 2016, J INNOVATION MANAGEM, V4, P32, DOI DOI 10.24840/2183-0606_004.004_0004
   SELDEN TM, 1994, J ENVIRON ECON MANAG, V27, P147, DOI 10.1006/jeem.1994.1031
   Shafiei S, 2014, ENERG POLICY, V66, P547, DOI 10.1016/j.enpol.2013.10.064
   Shahbaz M, 2020, TECHNOL FORECAST SOC, V161, DOI 10.1016/j.techfore.2020.120255
   Stern DI, 2004, WORLD DEV, V32, P1419, DOI 10.1016/j.worlddev.2004.03.004
   Tiba S, 2017, RENEW SUST ENERG REV, V69, P1129, DOI 10.1016/j.rser.2016.09.113
   TuSimple, 2019, Tusimple Benchmark
   van Soest DP, 2001, ENVIRON RESOUR ECON, V18, P101, DOI 10.1023/A:1011112406964
   Wang ML, 2019, INFORM TECHNOL DEV, V25, P455, DOI 10.1080/02681102.2018.1493675
   Wooldridge JM, 2010, ECONOMETRIC ANALYSIS OF CROSS SECTION AND PANEL DATA, 2ND EDITION, P1
   Yan ZM, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10072568
   Zhou XY, 2018, ENERGY, V151, P748, DOI 10.1016/j.energy.2018.03.115
NR 70
TC 75
Z9 77
U1 5
U2 76
PU ELSEVIER SCIENCE INC
PI NEW YORK
PA STE 800, 230 PARK AVE, NEW YORK, NY 10169 USA
SN 0040-1625
EI 1873-5509
J9 TECHNOL FORECAST SOC
JI Technol. Forecast. Soc. Chang.
PD FEB
PY 2021
VL 163
AR 120485
DI 10.1016/j.techfore.2020.120485
EA JAN 2021
PG 10
WC Business; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Business & Economics; Public Administration
GA PT2AG
UT WOS:000608421000011
HC Y
HP N
DA 2025-01-10
ER

PT J
AU Joshi, GS
   Makhasana, P
AF Joshi, Geeta S.
   Makhasana, Payal
TI Spatio-temporal Trend Detection of Rainfall for Climate Change
   Assessment in Ahmedabad-Gandhinagar District of Gujarat State, India
SO JOURNAL OF CLIMATE CHANGE
LA English
DT Article
DE Mann-Kendall test; Sen's slope estimator; Spatio-temporal distribution;
   Ahmedabad-Gandhinagar district
ID TEMPERATURE; VARIABILITY; PREDICTION; BASIN
AB The present research aims to assess the historical change in rainfall patterns with the changing climate in the Ahmedabad-Gandhinagar district in the state of Gujarat in India. The Mann-Kendall (MK) test along with Sen's slope estimator have been used for detecting the trend of rainfall data series. The trend of annual rainfall is carried out for - (1) six rain gauge stations established by the State Water Data Center (SWDC) and (2) 11 grid data available from the National Center for Environmental Prediction-Climate Forecast System Reanalysis (NCEP-CFSR) for 35 years starting from 1979 to 2013. Results obtained from these two data sets for the trend detection were found consistent. Furthermore, the analyses of annual and monthly rainfall using MK test and Sen's slope estimator at six rain gauge stations are carried out in three time periods i.e. 1974-1987, 1988-2001 and 2002-2016. The inverse distance weighted (IDW) method of interpolation is used for the results obtained from the spatial distribution of the temporal rainfall trend for interpolating the station value over the study area. Annual rainfall for data length of 1979 to 2013 shows an increasing trend. The trend of annual and monthly rainfall for July and September shows a positive trend for the span 2002-2016. This study would be useful to the water resource department and policymakers for climate change adaptation in the study area.
C1 [Joshi, Geeta S.; Makhasana, Payal] Maharaja Sayajirao Univ Baroda, Fac Technol & Engn, Civil Engn Dept, Vadodara, India.
C3 Maharaja Sayajirao University Baroda
RP Joshi, GS (corresponding author), Maharaja Sayajirao Univ Baroda, Fac Technol & Engn, Civil Engn Dept, Vadodara, India.
EM geeta.joshi-ced@msubaroda.ac.in
RI Joshi, Geeta S./AAA-3458-2020
OI Joshi, Dr. Geeta S./0000-0001-7006-2379
FU Climate Change Department of Government of Gujarat, India; Higher
   Education Department of Gujarat
FX The authors are thankful to the Climate Change Department of Government
   of Gujarat, India and the Higher Education Department of Gujarat for
   funding the climate change project, under which this study has been
   carried out. Also, the authors are thankful to the State Water Data
   Centre (SWDC), Gandhinagar, India for providing the necessary data.
CR Amirabadizadeh M, 2015, ADV METEOROL, V2015, DOI 10.1155/2015/579437
   [Anonymous], 2018, INT J ENV ECOLOGICAL
   Biniyam Y., 2017, Journal of Earth Science & Climatic Change, V8, P383, DOI 10.4172/2157-7617.1000383
   Chandole V, 2019, J ATMOS SOL-TERR PHY, V195, DOI 10.1016/j.jastp.2019.105130
   Chatterjee S, 2017, CLIM DYNAM, V49, P391, DOI 10.1007/s00382-016-3349-3
   Cui LF, 2017, J ATMOS SOL-TERR PHY, V164, P48, DOI 10.1016/j.jastp.2017.08.001
   Dash SK, 2009, J GEOPHYS RES-ATMOS, V114, DOI 10.1029/2008JD010572
   Dile YT, 2014, J AM WATER RESOUR AS, V50, P1226, DOI 10.1111/jawr.12182
   Fuka DR, 2014, HYDROL PROCESS, V28, P5613, DOI 10.1002/hyp.10073
   Giupponi C, 2017, REG ENVIRON CHANGE, V17, P1865, DOI 10.1007/s10113-017-1173-x
   HIRSCH RM, 1991, WATER RESOUR RES, V27, P803, DOI 10.1029/91WR00259
   Issahaku AR, 2016, EARTH SPACE SCI, V3, P284, DOI 10.1002/2016EA000161
   Jain SK, 2012, CURR SCI INDIA, V102, P37
   Joshi GS, 2020, J ATMOS SOL-TERR PHY, V199, DOI 10.1016/j.jastp.2020.105209
   Kendall M., 1975, Rank Correlation Methods, V4th
   Krishnakumar KN, 2009, ATMOS ENVIRON, V43, P1940, DOI 10.1016/j.atmosenv.2008.12.053
   Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187
   Meshram SG, 2018, THEOR APPL CLIMATOL, V134, P1231, DOI 10.1007/s00704-017-2335-y
   Najibi N, 2018, EARTH SYST DYNAM, V9, P757, DOI 10.5194/esd-9-757-2018
   Oza M., 2014, J GEOMAT, V8, P40
   PARTHASARATHY B, 1994, THEOR APPL CLIMATOL, V49, P217, DOI 10.1007/BF00867461
   Pingale SM, 2014, ATMOS RES, V138, P73, DOI 10.1016/j.atmosres.2013.10.024
   Radhakrishnan Kalidoss Radhakrishnan Kalidoss, 2017, Climate Change and Environmental Sustainability, V5, P146, DOI 10.5958/2320-642X.2017.00014.X
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Taxak AK, 2014, WEATHER CLIM EXTREME, V4, P50, DOI 10.1016/j.wace.2014.04.005
   Thomas T, 2015, J WATER CLIM CHANGE, V6, P615, DOI 10.2166/wcc.2014.041
   Verma R.K., 2014, GROUND WATER BROCHUR
   Verma R.K., 2014, GROUND WATER BROCHUR
   Yang W, 2016, ADV METEOROL, V2016, DOI 10.1155/2016/2486928
   Zelenáková M, 2018, WATER-SUI, V10, DOI 10.3390/w10060727
   ?ZYILDIRIM S, 2017, CUKUROVA U J FACULTY, V32, P65, DOI [10.21605/cukurovaummfd.358364, DOI 10.21605/CUKUROVAUMMFD.358364]
NR 31
TC 3
Z9 3
U1 0
U2 3
PU IOS PRESS
PI AMSTERDAM
PA NIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS
SN 2395-7611
EI 2395-7697
J9 J CLIM CHANG
JI J. Clim. Chang.
PY 2021
VL 7
IS 1
BP 69
EP 78
DI 10.3233/JCC210006
PG 10
WC Meteorology & Atmospheric Sciences
WE Emerging Sources Citation Index (ESCI)
SC Meteorology & Atmospheric Sciences
GA QH8NJ
UT WOS:000618528600007
DA 2025-01-10
ER

PT J
AU Vij, S
   Russell, C
   Clark, J
   Parajuli, BP
   Shakya, P
   Dewulf, A
AF Vij, Sumit
   Russell, Caroline
   Clark, Julian
   Parajuli, Binod Prasad
   Shakya, Puja
   Dewulf, Art
TI Evolving disaster governance paradigms in Nepal
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Disaster governance paradigms; Framing; Federalization in Nepal;
   Paradigm change; Policy goals and instruments
ID RISK REDUCTION; NATURAL DISASTERS; POLICY PARADIGMS; ADAPTATION;
   RESILIENCE; STRUGGLES; FRAMEWORK; STATE; POWER
AB This article aims to explain various disaster governance paradigms that have emerged and currently exists in Nepal. A disaster governance paradigm is a comprehensive set of prevailing and institutionalized ideas that shape disaster plans and policies that eventually are implemented on-the-ground. Nepal has prepared various disaster plans and policies at the national, provincial and local level, but there are major gaps in disaster risk preparedness, with annual floods and landslides continuing to be responsible for the loss of lives and heavy infrastructure damages. In this article, we show how disaster governance paradigms have evolved between 1982 and 2019, using policy document analysis and semi-structured interviews with key policy actors. The study found that four major disaster governance paradigms exist in Nepal - (1) response and recovery; (2) disaster risk reduction and management; (3) integrated climate change adaptation and disaster risk reduction; and (4) federalized disaster risk reduction. The results of this study show that multiple state and non-state actors such as key government ministries, NGOs, INGOs and other civil society actors are competing over resources and there is an ongoing administrative struggle for promoting different disaster governance paradigms. There has been a push from various civil society actors to prioritize disaster risk reduction in Nepal. Finally, we conclude that it is too early to assert that the decentralization process will be able to reduce disaster risk for vulnerable communities, especially with the federalization of Nepal's disaster governance.
C1 [Vij, Sumit; Dewulf, Art] Wageningen Univ & Res, Publ Adm & Policy Grp, Wageningen, Netherlands.
   [Vij, Sumit] Vrije Univ Amsterdam, Amsterdam, Netherlands.
   [Russell, Caroline] Univ Birmingham, Sch Geog Earth & Environm Sci, Human Geog, Birmingham, W Midlands, England.
   [Clark, Julian] Univ Birmingham, Sch Geog Earth & Environm Sci, Birmingham, W Midlands, England.
   [Parajuli, Binod Prasad; Shakya, Puja] Pract Act Consulting, Climate & Resilience, Kathmandu, Nepal.
C3 Wageningen University & Research; Vrije Universiteit Amsterdam;
   University of Birmingham; University of Birmingham
RP Vij, S (corresponding author), Wageningen Univ & Res, Publ Adm & Policy Grp, Wageningen, Netherlands.
EM sumit.vij@wur.nl
RI Dewulf, Art/C-1271-2010; Vij, Sumit/AAV-6617-2021
OI Dewulf, Art/0000-0002-4171-7644; Russell, Caroline/0000-0002-4613-1845;
   Parajuli, Binod Prasad/0000-0002-3528-6075
FU Natural Environment Research Council (NERC); Department for
   International Development (DFID) under the United Kingdom Science for
   Humanitarian Emergencies and Resilience (SHEAR) program [NE/P000452/1];
   NERC [NE/P000452/1, NE/P000207/1] Funding Source: UKRI
FX The authors acknowledge the financial support from the Natural
   Environment Research Council (NERC) and Department for International
   Development (DFID) under the United Kingdom Science for Humanitarian
   Emergencies and Resilience (SHEAR) program (Grant Number NE/P000452/1).
   The authors are also indebted to Practical Action team who made the data
   collection possible. Lastly, we would like to thank the four anonymous
   reviewers for making constructive comments on the previous drafts of
   this manuscript.
CR Aitsi-Selmi A, 2015, INT J DISAST RISK SC, V6, P164, DOI 10.1007/s13753-015-0050-9
   [Anonymous], 1934, LOGIC SCI DISCOVERY
   [Anonymous], 1962, The Structure of Scientific Revolutions
   [Anonymous], 2009, NAT STRAT DIS RISK M
   Aryal KR, 2012, INT J DISAST RISK SC, V3, P147, DOI 10.1007/s13753-012-0015-1
   Bisri MBF, 2016, PROCEDIA ENGINEER, V159, P19, DOI 10.1016/j.proeng.2016.08.059
   Chaudhury AS, 2016, GLOBAL ENVIRON CHANG, V38, P243, DOI 10.1016/j.gloenvcha.2016.03.011
   Chmutina K, 2019, INT J DISAST RISK SC, V10, P283, DOI 10.1007/s13753-019-00232-2
   Chong D, 2007, ANNU REV POLIT SCI, V10, P103, DOI 10.1146/annurev.polisci.10.072805.103054
   Daly P, 2017, ENVIRON URBAN, V29, P403, DOI 10.1177/0956247817721403
   Djalante R., 2012, International Journal of Disaster Resilience in the Built Environment, V3, P166, DOI [10.1108/17595901211245260, DOI 10.1108/17595901211245260]
   Djalante R, 2011, INT J DISAST RISK SC, V2, P1, DOI 10.1007/s13753-011-0015-6
   England MI, 2018, ENVIRON SCI POLICY, V79, P9, DOI 10.1016/j.envsci.2017.10.009
   Gautam D, 2018, IMPACTS AND INSIGHTS OF THE GORKHA EARTHQUAKE, P173, DOI 10.1016/B978-0-12-812808-4.00007-9
   Gibson T., 2019, OXFORD RES ENCY NATU
   HALL PA, 1993, COMP POLIT, V25, P275, DOI 10.2307/422246
   Henstra D, 2020, LOCAL ENVIRON, V25, P101, DOI 10.1080/13549839.2019.1710485
   Henstra D, 2016, CLIM POLICY, V16, P496, DOI 10.1080/14693062.2015.1015946
   Houston JB, 2012, J MASS COMMUN Q, V89, P606, DOI 10.1177/1077699012456022
   Howlett M, 2009, J PUBLIC POLICY, V29, P241, DOI 10.1017/S0143814X09990158
   Howlett Michael., 2005, DESIGNING GOVT, P31
   Jones S, 2016, INT J DISAST RISK RE, V15, P29, DOI 10.1016/j.ijdrr.2015.10.011
   Jones S, 2014, GEOFORUM, V57, P78, DOI 10.1016/j.geoforum.2014.07.011
   Linnerooth-Bayer J, 2015, CLIMATIC CHANGE, V133, P85, DOI 10.1007/s10584-013-1035-6
   Manyena SB, 2012, DEV POLICY REV, V30, P327, DOI 10.1111/j.1467-7679.2012.00579.x
   McDonnell LM., 1987, Educ Eval Policy Analysis, V9, P133, DOI [DOI 10.3102/01623737009002133, 10.3102/01623737009002133]
   McEntire DA, 2002, PUBLIC ADMIN REV, V62, P267, DOI 10.1111/1540-6210.00178
   Miller M A., 2016, Disaster governance in urbanising Asia, P1
   MoFE, 2019, NAT CLIM CHANG POL 2
   MoHA, 2018, NAT POL DIS RISK RED
   Nightingale AJ, 2017, GEOFORUM, V84, P11, DOI 10.1016/j.geoforum.2017.05.011
   NSDRM National Strategy for Disaster Risk Management in Nepal (Draft, 2008, GOV NEP UN NAT DEV P
   Ojha H., 2009, Community forestry in Nepal: A policy innovation for local livelihoods, P913
   Oven K, 2019, ROU ST HAZ DIS RIS C, P138
   Pathak D., 2010, Climate change impacts on hazards in the Eastern Himalayas; Climate change impact and vulnerability in the Eastern Himalayas-Technical report 5
   Payne I., 2017, THE DIPLOMAT
   Pradhan C., 2017, INT EXPERT FORUM MAI, P21
   Pretty J, 2001, WORLD DEV, V29, P209, DOI 10.1016/S0305-750X(00)00098-X
   SCHNEIDER A, 1990, J POLIT, V52, P510, DOI 10.2307/2131904
   Shrestha Bahul, 2018, SOC SCI, V7
   United Nations Development Programme, 2004, BUR CRIS PREV RED DI
   Vij S, 2019, CLIM POLICY, V19, P571, DOI 10.1080/14693062.2018.1534723
   Vij S, 2018, ENVIRON SCI POLICY, V81, P77, DOI 10.1016/j.envsci.2017.12.010
   VonEinsiedel S, 2012, NEPAL IN TRANSITION: FROM PEOPLE'S WAR TO FRAGILE PEACE, P1, DOI 10.1017/CBO9781139021869
   Watson I, 2017, THIRD WORLD Q, V38, P483, DOI 10.1080/01436597.2016.1159913
   Williams S, 2011, HOUSING STUD, V26, P185, DOI 10.1080/02673037.2011.557587
   Yanow D., 2000, CONDUCTING INTERPRET, V47
NR 47
TC 15
Z9 16
U1 3
U2 19
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD NOV
PY 2020
VL 50
AR 101911
DI 10.1016/j.ijdrr.2020.101911
PG 8
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA PG3PB
UT WOS:000599649700003
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Hoang, HG
AF Hoang, Hung Gia
TI Vietnamese smallholders' perspectives on causes, indicators and
   determinants of climate change: implication for adaptation strategies
SO CLIMATIC CHANGE
LA English
DT Article
DE Climate change; Indicators; ICT; Determinants; Smallholders; Vietnam
ID FARMERS PERCEPTIONS; RICE
AB In order to facilitate the adoption of climate change adaptation and mitigation practices by smallholders, it is essential to understand their perspectives on climate change. However, few empirical studies have considered how smallholders perceive climate change in Central Vietnam. This research investigates the Vietnamese smallholders' views on the causes and indicators of climate change and factors that affect their perceptions of it in Central Vietnam. A sample size of 170 was drawn from a total of 297 smallholders and a structured questionnaire was developed to collect data. Descriptive, chi-square (chi(2)) and logistic regression analyses were used. The research results revealed that most smallholders perceived urbanization (93.5%), followed by deforestation (85.3%), air pollution (84.4%) and unappropriated dealing with agricultural wastes (82.4%) are the causes of climate change. A majority of smallholders perceived that excessive lightening (91.2%), followed by change in rainfall season length (90.6%), frequent droughts (90%), change in temperature (88.2%), uneven rainfall distribution (85.9%), rainfall amount (84.1%) and frequent floods (82.9%) are the most noted indicators of climate change. The success of regression model overall prediction is reported by model chi(2) = 92.69,p < 0.000, showing that the independent variables significantly explained the dependent variable. Among the independent variables, farming practice, information communication and technology (ICT) owned, community-based organisation participation, gender, type of household, credit programme participation and education level are significantly important determinants of smallholders' perception on climate change.
C1 [Hoang, Hung Gia] Univ Agr & Forestry Hue Univ, 102 Phung Hung St, Hue City 530000, Vietnam.
RP Hoang, HG (corresponding author), Univ Agr & Forestry Hue Univ, 102 Phung Hung St, Hue City 530000, Vietnam.
EM hghung@hueuni.edu.vn
RI Hoang, Hung/AAN-6264-2020
OI Hoang, Hung Gia/0000-0002-4379-5355
FU Hue University
FX The author of this research would like to thank Hue University for its
   financial support in conducting this research.
CR Abid M, 2015, EARTH SYST DYNAM, V6, P225, DOI 10.5194/esd-6-225-2015
   Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Agbo F. U., 2013, Journal of Biology, Agriculture and Healthcare, V3, P36
   Agresti A., 2009, Statistical Methods for the Social Sciences, V4th ed.
   Allahyari MS, 2016, CLIMATE, V4, DOI 10.3390/cli4040058
   Altschuler B, 2016, LOCAL ENVIRON, V21, P615, DOI 10.1080/13549839.2015.1004165
   [Anonymous], 2018, REP SOC EC DEV ACH P
   [Anonymous], 2018, STAT YB
   Apata T.G., 2009, ANAL CLIMATE CHANGE ANAL CLIMATE CHANGE
   Asrat P, 2018, ECOL PROCESS, V7, DOI 10.1186/s13717-018-0118-8
   Auffhammer M, 2012, CLIMATIC CHANGE, V111, P411, DOI 10.1007/s10584-011-0208-4
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   Brown PR, 2018, INT J AGR SUSTAIN, V16, P255, DOI 10.1080/14735903.2018.1472858
   Bryan E, 2013, J ENVIRON MANAGE, V114, P26, DOI 10.1016/j.jenvman.2012.10.036
   Cai ZC, 1997, PLANT SOIL, V196, P7, DOI 10.1023/A:1004263405020
   Clemens M, 2016, J WATER CLIM CHANGE, V7, P365, DOI 10.2166/wcc.2015.004
   Deressa T. T., 2009, Global Environmental Change, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   deVaus D., 2014, Surveys in Social Research, V6th
   Dinda S, 2015, HDB RES CLIMATE CHAN
   Field A., 2018, Discovering statistics using IBM SPSS statistics, V5
   Gbetibouo G.A., 2009, IFPRI DISCUSSION PAP, DOI DOI 10.1068/A312017
   Glantz M.H., 2009, Coping with a changing climate: considerations for adaptation and mitigation in agriculture
   Hatfield JL, 2020, CLIMATIC CHANGE, V163, P1719, DOI 10.1007/s10584-018-2222-2
   Jalota SK, 2012, REG ENVIRON CHANGE, V12, P913, DOI 10.1007/s10113-012-0300-y
   JIANJUN J, 2015, LAND USE POLICY, V47, P365, DOI DOI 10.1016/j.landusepol.2015.04.028
   Kahsay HT, 2019, ADV METEOROL, V2019, DOI 10.1155/2019/3849210
   Kemausuor F., 2011, Journal of Agricultural and Biological Science, V6, P26
   Kim SY, 2011, J ASIAN STUD, V70, P319, DOI 10.1017/S0021911811000064
   Mainuddin M, 2013, NAT HAZARDS, V66, P905, DOI 10.1007/s11069-012-0526-5
   Mengistu D. K., 2011, Agricultural Sciences, V2, P138, DOI 10.4236/as.2011.22020
   Mertz O, 2009, ENVIRON MANAGE, V43, P804, DOI 10.1007/s00267-008-9197-0
   Mishra AK, 2017, INT J CLIM CHANG STR, V9, P501, DOI 10.1108/IJCCSM-01-2017-0014
   Huong NTL, 2017, INT J CLIM CHANG STR, V9, P555, DOI [10.1108/IJCCSM-02-2017-0032, 10.1108/ijccsm-02-2017-0032]
   Nyanga P. H., 2011, Journal of Sustainable Development, V4, P73
   Okonya J. S., 2013, Journal of Agricultural Science (Toronto), V5, P252
   Ozor N., 2012, INT J AGR SCI, V4, P243
   Shrestha S, 2016, MITIG ADAPT STRAT GL, V21, P15, DOI 10.1007/s11027-014-9567-2
   Smith P, 2010, J AGR SCI-CAMBRIDGE, V148, P543, DOI 10.1017/S0021859610000341
   Tesfahunegn GB, 2016, APPL GEOGR, V73, P1, DOI 10.1016/j.apgeog.2016.05.009
   Tesfaye W, 2016, INT J CLIM CHANG STR, V8, P253, DOI 10.1108/IJCCSM-01-2014-0017
   Thoai TQ, 2018, LAND USE POLICY, V70, P224, DOI 10.1016/j.landusepol.2017.10.023
   Tologbonse EB, 2010, J AGRIC EXT, V14, P125
   Tripathi R, 2014, APPL GEOGR, V46, P137, DOI 10.1016/j.apgeog.2013.11.007
   van Wesenbeeck CFA, 2016, APPL GEOGR, V66, P81, DOI 10.1016/j.apgeog.2015.11.001
   Watson RT, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, pIX
   Weber EU, 2016, WIRES CLIM CHANGE, V7, P125, DOI 10.1002/wcc.377
   Yan XY, 2009, GLOBAL BIOGEOCHEM CY, V23, DOI 10.1029/2008GB003299
   Yaro JA, 2013, REG ENVIRON CHANGE, V13, P1259, DOI 10.1007/s10113-013-0443-5
   Yu B., 2010, Impacts of climate change on agriculture and policy options for adaptation
   Yu QY, 2014, J INTEGR AGR, V13, P1599, DOI 10.1016/S2095-3119(14)60805-4
NR 50
TC 9
Z9 9
U1 3
U2 25
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD OCT
PY 2020
VL 162
IS 3
BP 1127
EP 1142
DI 10.1007/s10584-020-02827-x
EA SEP 2020
PG 16
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA OF2RW
UT WOS:000567379500001
DA 2025-01-10
ER

PT J
AU Jordan, PA
AF Jordan, Pamela A.
TI Hands across the water: climate change and binational cooperation in the
   Great Lakes Basin
SO CLIMATIC CHANGE
LA English
DT Article
DE Climate change; Canada-U; S; relations; Great Lakes (North America);
   Transboundary water governance
ID POLICY
AB In examining the impact of climate change on binational governance of the Great Lakes between 2012 and 2019, this article evaluates the extent to which Canada and the U.S. have implemented the objectives in the climate change impacts annex-Annex 9-to the 2012 Great Lakes Water Quality Agreement (GLWQA), in cooperation with diverse networks of governmental and nongovernmental actors. It also examines whether action taken thus far to implement Annex 9 indicate a marked improvement in adaptive capacity in addressing climate problems in the Great Lakes Basin. The author argues that the effectiveness of climate action in the Great Lakes Basin depends not only on the domestic efforts of the U.S. and Canadian governments, the responsible parties in implementing binational water agreements. It also hinges on whether they have the institutional capacity and the political will required to help fund and coordinate the actions of the several heterogeneous networks. Between 2012 and 2019, significant progress was made in the areas of information-sharing, network-building, and capacity-building for more effective measurement, monitoring, and analysis of climate change impacts in the Great Lakes Basin. However, the Parties have not yet developed a long-term binational framework for action supporting climate change adaptation and resilience. In the meantime, First Nations and municipal and other networks are implementing their own community-level resilience plans, but these actors cannot fully compensate for weak federal leadership and inadequate human and financial resources.
C1 [Jordan, Pamela A.] Southern New Hampshire Univ, Dept Social Sci, Law & Polit Program, Manchester, NH 03106 USA.
RP Jordan, PA (corresponding author), Southern New Hampshire Univ, Dept Social Sci, Law & Polit Program, Manchester, NH 03106 USA.
EM p.jordan@snhu.edu
CR Abdel-Fattah S., 2014, SUSTAIN WATER QUAL E, V34, P3, DOI [10.1016/j.swaqe.2014.11.006, DOI 10.1016/J.SWAQE.2014.11.006]
   Adger WN, 2011, WIRES CLIM CHANGE, V2, P757, DOI 10.1002/wcc.133
   *ALL GREAT LAK, 2019, 2019 FEDERAL POLICY
   Alper DK, 2018, TRANSBOUNDARY ENVIRONMENTAL GOVERNANCE ACROSS THE WORLD'S LONGEST BORDER, P137
   [Anonymous], 2016, PAN CANADIAN FRAMEWO
   [Anonymous], 2012, Great Lakes Water Quality Agreement (GLWQA): Annex 4
   [Anonymous], 2018, 4 NATL CLIMATE ASSES
   [Anonymous], 2011, Associated Press
   Bartolai AM, 2015, J GREAT LAKES RES, V41, P45, DOI 10.1016/j.jglr.2014.11.012
   *BIN, GREAT LAK WAT QUAL A
   BRAMMEIER J, 2018, MIEDTERM SPELLS OPPO
   BRICKER D, 2019, 4 WEEKS CLIMATE CHAN
   Brooks S, 2018, TRANSBOUNDARY ENVIRONMENTAL GOVERNANCE ACROSS THE WORLD'S LONGEST BORDER, P1
   BUNCH K, 2018, SPECIES NEED HABITAT
   BUNCH K, 2016, GREAT LAKES CITIES P
   BUNCH K, 2018, CITIES USE NEW DATA
   Buzbee WW, 2017, WISC LAW REV, P1037
   CALDWELL C, 2018, FINAL REPORT SUPPORT
   Camacho AE., 2008, Michigan State University College of Law Journal of International Law, V17, P139
   Camacho AlejandroE., 2009, EMORY LAW J, V59, P1
   CHAPMAN E, 2018, LEADERSHIP ALL LEVEL
   COHN MR, 2018, TORONTO STAR
   *COL U SAB CTR CLI, 2019, CLIM DER TRACK
   Cozzetto K, 2013, CLIMATIC CHANGE, V120, P569, DOI 10.1007/s10584-013-0852-y
   de Loë R, 2017, GLOB ISS WATER POL, V17, P231, DOI 10.1007/978-3-319-42806-2_13
   Detroit Free Press, 2019, DETROIT FREE PRESS
   *EM ISS WORK GROUP, 2017, CLIM CHANG AD GREAT
   *EN ENV POL IN, 2014, ENV POL GREAT LAK RE
   *ENV CLIM CHANG CA, 2018, 2017 ANN CLIM TRENDS
   Feltman BC, 2017, J GREAT LAKES RES, V43, P670, DOI 10.1016/j.jglr.2017.05.003
   FLESHER J, 2019, ASS PRESS
   FLESHER J, 2018, ASS PRESS
   *GREAT ALK REST IN, 2014, GREAT LAK REST IN AC, V2
   *GREAT LAK, GREAT LAK CONN
   *GREAT LAK COMM, 2011, RES PROM AD MAN GREA
   *GREAT LAK EX COMM, 2018, M SUMM JUN 6 7
   *GREAT LAK EX COMM, 2018, M AG JUN 6 7
   *GREAT LAK INT SCI, 2018, GLISA SUPP BOUND ORG
   *GREAT LAK ST LAW, 2019, GOV 1 WELC NEW MEMB
   *GREAT LAK WAT QUA, 2017, IND PEOPL ENG PRINC
   GROVER VI, 2012, GREAT LAKES LESSONS, P3
   HALPERN M, 2019, EPAS MOVE HANDCUFF S
   HANSON K, 2017, WIS INT L J, V34, P668
   HAUSERMAN JT, 2015, GA J INT COMP LAW, V43, P701
   HENRY T, 2017, TOLEDO BLADE
   HULTING M, 2018, FEDS MOVING FORWARD
   *ICLEI CAN, 2017, GREAT LAK CLIM CHANG
   *IJC, 2017, 2016 ANN ACT REP
   *IJC, 2018, 2017 ANN ACT REP
   *IJC, 2017, INT JOINT COMM 2017
   *INT JOINT COMM, 2015, 2015 2020 STRAT PLAN
   *INT JOINT COMM, 2019, ROL IJC
   International Joint Commission, 2018, 2 GREAT LAK BIN POLL
   International Joint Commission (IJC), 2017, 1 TRIENN ASS PROGR G
   JACKSON T, 2018, NEW FEDERAL BILL FUN
   Jetoo S, 2018, WATER-SUI, V10, DOI 10.3390/w10040400
   Jetoo S, 2017, WATER-SUI, V9, DOI 10.3390/w9010040
   Johns C, 2018, TRANSBOUNDARY ENVIRONMENTAL GOVERNANCE ACROSS THE WORLD'S LONGEST BORDER, P77
   Johns CM, 2017, GLOB ISS WATER POL, V17, P159, DOI 10.1007/978-3-319-42806-2_9
   KART J, 2018, MORE WORK IS NEEDED
   KUSMIERCZYK IW, 2012, GREAT LAKES LESSONS, P105
   LARSEN A, 2018, ALLIANCE GREAT LAKES
   LOFGREN B, 2012, NATL CLIMATE ASSESSM
   Maldonado Julie Koppel, 2014, a synthesis of current impacts and experiences
   MCLAUGHLIN C, 2012, GREAT LAKES LESSONS, P67
   McLaughlin C, 2012, SCI TOTAL ENVIRON, V416, P40, DOI 10.1016/j.scitotenv.2011.12.015
   MITCHELL T, 2016, PRESENTATION ANNEX 9
   MUTH M, 2019, COMMUNICATION
   *NAT OC ATM ADM, 2017, US CLIM MAK DEC TOD
   *OFF IND EN POL PR, 2014, US DEP EN SEN NAT 20
   Olson JM, 2019, PROPOSAL IMMEDIATE A
   Pebbles V, 2014, TRANSBOUNDARY WATER, V197, P216
   PERDEAUX S, 2018, APPROACHES CON UNPUB
   RASHIDI M, 2014, INDIGENOUS PEOPLES G
   Rasmussen LV, 2017, CLIMATIC CHANGE, V140, P451, DOI 10.1007/s10584-016-1857-0
   SMALL GE, 2018, BIODIVERS CONSERV, P113
   STIRRATT H, 2018, COASTAL COMMUNITY RE
   *US GLOB CHANG RES, 2017, US 4 NAT CLIM ASS RE
   VanNijnatten D, 2016, INT J WATER GOV, V4, DOI 10.7564/14-IJWG78
   VanNijnatten DL, 2018, TRANSBOUNDARY ENVIRONMENTAL GOVERNANCE ACROSS THE WORLD'S LONGEST BORDER, P201
   VERBURG S, 2019, WISCONSIN STATE J
   VOLK V, 2018, GREAT LAKES TODAY
   Wherry A., 2019, CBC NEWS
   WHYTE KP, 2014, PROJECT REPORTS
   *YAL PROGR CLIM CH, 2019, CLIM BHANG AM MIND A
   2016, REPORT REPORT PARTIE
   2019, PROGR REPORT PARTIES
NR 87
TC 5
Z9 5
U1 1
U2 23
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD AUG
PY 2020
VL 161
IS 3
BP 479
EP 497
DI 10.1007/s10584-020-02676-8
EA FEB 2020
PG 19
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA MZ7YA
UT WOS:000520070700001
DA 2025-01-10
ER

PT J
AU Eum, JH
   Kim, K
   Jung, EH
   Rho, P
AF Eum, Jeong-Hee
   Kim, Kwon
   Jung, Eung-Ho
   Rho, Paikho
TI Evaluation and Utilization of Thermal Environment Associated with
   Policy: A Case Study of Daegu Metropolitan City in South Korea
SO SUSTAINABILITY
LA English
DT Article
DE thermal environment; vulnerability assessment; policy-linked index;
   climate change adaptation
ID VULNERABILITY INDEX; CLIMATE-CHANGE; EXTREME HEAT; HEALTH-RISK;
   SUSTAINABILITY; STRESS
AB This study aimed to propose a way to utilize vulnerability assessment effectively in policy-making by conducting policy-related assessment of the thermal environment. For this purpose, a variety of indices concerning thermal vulnerability assessment were reviewed, and finally, 15 indices were selected. In addition, adaptation policies for climate change applied to Korean cities were synthesized and examined to establish policies for improving thermal environments which correspond to 15 indices. Finally, a framework consisting of five areas (improvement of the atmospheric environment, expansion of eco-friendly buildings, management of the surface, cool spot creation and revitalization of communities), 15 indices and 25 policies was proposed. As a result, 15 vulnerability maps based on the standardized indices and a comprehensive map with four classes were established for Daegu Metropolitan City in South Korea. Based on the maps, Guji-myeon and Ansim-1-dong were found to be the most vulnerable areas. Hence, the causes of the thermal environment vulnerability and the policies for improving urban thermal environment were analyzed in these two areas using the proposed framework. Guji-myeon was necessary to more actively implement policies regarding the improvement of the atmospheric environment, management of the surface, and revitalization of communities. To improve the thermal environment of Ansim-1-dong, active policy implementation was required in all five areas. The results of this study are expected to contribute to the effective establishment of thermal environment policies by policy-makers.
C1 [Eum, Jeong-Hee] Keimyung Univ, Dept Landscape Architecture, 1095 Dalgubeol Daero, Daegu 42601, South Korea.
   [Kim, Kwon] Keimyung Univ, Grad Sch, Dept Architecture, 1095 Dalgubeol Daero, Daegu 42601, South Korea.
   [Jung, Eung-Ho; Rho, Paikho] Keimyung Univ, Dept Environm Planning, 1095 Dalgubeol Daero, Daegu 42601, South Korea.
C3 Keimyung University; Keimyung University; Keimyung University
RP Eum, JH (corresponding author), Keimyung Univ, Dept Landscape Architecture, 1095 Dalgubeol Daero, Daegu 42601, South Korea.
EM eumjh99@kmu.ac.kr; kimkwon258@gmail.com; turep21@kmu.ac.kr;
   wildlife@kmu.ac.kr
RI EUM, JH/IWE-0201-2023
OI Kim, Kwon/0000-0001-7491-3695
FU National Research Foundation of Korea (NRF) [2015R1C1A2A01052513]; Korea
   Agency for Infrastructure Technology Advancement (KAIA)
   [18AUDP-B102560-04]
FX This study was supported by National Research Foundation of Korea (NRF;
   Grant No. 2015R1C1A2A01052513) and Korea Agency for Infrastructure
   Technology Advancement (KAIA; Grant No. 18AUDP-B102560-04).
CR Ahn Jisuk, 2010, [JOURNAL OF ENVIRONMENTAL SCIENCE INTERNATIONAL, 한국환경과학회지], V19, P281
   Alavipanah S, 2015, SUSTAINABILITY-BASEL, V7, P4689, DOI 10.3390/su7044689
   Alfano FRD, 2017, ENERG BUILDINGS, V152, P243, DOI 10.1016/j.enbuild.2017.07.052
   Alfano FRD, 2011, IND HEALTH, V49, P95, DOI 10.2486/indhealth.MS1097
   [Anonymous], 2007, Climate Change 2007: A Synthesis Report, P22
   Aubrecht C, 2013, ENVIRON INT, V56, P65, DOI 10.1016/j.envint.2013.03.005
   Busan metropolitan city, 2012, CLIM CHANG AD PLAN B
   Caruso G, 2015, SOL ENERGY, V118, P186, DOI 10.1016/j.solener.2015.04.046
   Caruso G, 2013, SOL ENERGY, V97, P128, DOI 10.1016/j.solener.2013.08.010
   Chow WTL, 2012, PROF GEOGR, V64, P286, DOI 10.1080/00330124.2011.600225
   Christenson Megan, 2017, J Public Health Manag Pract, V23, P396, DOI 10.1097/PHH.0000000000000352
   Chung J.W., 2010, J CLIM CHANGE RES, V1, P21
   Daegu metropolitan city, 2012, CLIM CHANG AD PLAN D
   Daejeon metropolitan city, 2012, CLIM CHANG AD PLAN D
   Dong WH, 2014, SUSTAINABILITY-BASEL, V6, P7334, DOI 10.3390/su6107334
   El-Zein A, 2015, ECOL INDIC, V48, P207, DOI 10.1016/j.ecolind.2014.08.012
   EUM Jeong-Hee, 2016, [Journal of the Korean Institute of Landscape Architecture, 한국조경학회지], V44, P109
   Eum JH, 2011, LANDSCAPE URBAN PLAN, V103, P362, DOI 10.1016/j.landurbplan.2011.08.010
   Fantozzi F, 2009, WIT TRANS ECOL ENVIR, V122, P217, DOI 10.2495/ECO090211
   Grothmann T, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9060976
   Gwangju metropolitan city, 2012, CLIM CHANG AD PLAN G
   Harlan SL, 2013, ENVIRON HEALTH PERSP, V121, P197, DOI 10.1289/ehp.1104625
   Hondula DM, 2012, ENVIRON HEALTH-GLOB, V11, DOI 10.1186/1476-069X-11-16
   Hosung Shin，, 2014, [Journal of Environmental Policy, 환경정책연구], V13, P69
   Incheon metropolitan city, 2012, CLIM CHANG AD PLAN I
   Johnson DP, 2012, APPL GEOGR, V35, P23, DOI 10.1016/j.apgeog.2012.04.006
   Jung Eungho, 2016, [JOURNAL OF ENVIRONMENTAL SCIENCE INTERNATIONAL, 한국환경과학회지], V25, P1589, DOI 10.5322/JESI.2016.25.11.1589
   Jung Eungho, 2008, [Journal of the Korean Association of Geographic Information Studies, 한국지리정보학회지], V11, P73
   Jung H. C., 2012, STUDY CLIMATE CHANGE
   안윤정, 2016, [Journal of Korea Planning Association, 국토계획], V51, P199
   Kim Y. J., 2014, J ENV SCI INT, V23, P1929
   이원정, 2013, [JOURNAL OF ENVIRONMENTAL HEALTH SCIENCES, 한국환경보건학회지], V39, P492, DOI 10.5668/JEHS.2013.39.6.492
   Kim Y, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8040358
   Koo Y., 2015, KOREAN REG DEV ASS, V27, P331
   LEE S, 2018, SUSTAINABILITY-BASEL, V10, DOI DOI 10.3390/SU10020519
   Lee S. S., 2015, PROTOTYPE DEV CLIMAT
   유성진, 2012, Spatial Information Research, V20, P13
   Liu WB, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9122324
   Loughnan M., 2012, INT J POPUL RES, V2012
   Lundgren K, 2013, SUSTAINABILITY-BASEL, V5, P3116, DOI 10.3390/su5073116
   Maier G, 2014, WEATHER CLIM SOC, V6, P253, DOI 10.1175/WCAS-D-13-00037.1
   Ministry of land Infrastructure and Transport, 2017, GUID AN CLIM CHANG D
   Morini E, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9071245
   Nouri AS, 2018, ATMOSPHERE-BASEL, V9, DOI 10.3390/atmos9030108
   Oh KY, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9071103
   Park I. K., 2016, THESIS
   Province of Chungcheongbukdo, 2012, CLIM CHANG AD PLAN C
   Province of Gangwondo, 2012, CLIM CHANG AD PLAN G
   Province of Gyeonggido, 2012, CLIM CHANG AD PLAN G
   Province of Gyeongsangbukdo, 2012, CLIM CHANG AD PLAN G
   Province of Gyeongsangnamdo, 2012, CLIM CHANG AD PLAN G
   Province of Jeju, 2012, CLIM CHANG AD PLAN J
   Province of Jeollanamdo, 2012, CLIM CHANG AD PLAN J
   Reid CE, 2009, ENVIRON HEALTH PERSP, V117, P1730, DOI 10.1289/ehp.0900683
   Rinner C, 2010, CARTOGR GEOGR INF SC, V37, P31, DOI 10.1559/152304010790588089
   Rothfusz L. P., 1990, 9023 SR
   Sejong metropolitan city, 2012, CLIM CHANG AD PLAN S
   Seoul metropolitan city, 2012, CLIM CHANG AD PLAN S
   Tomlinson CJ, 2011, INT J HEALTH GEOGR, V10, DOI 10.1186/1476-072X-10-42
   Tseng YC, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8060531
   Ulsan metropolitan city, 2012, CLIM CHANG AD PLAN U
   Vescovi L, 2005, CLIMATE RES, V30, P71, DOI 10.3354/cr030071
   Wang HT, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9091538
   Wolf T, 2013, WEATHER CLIM EXTREME, V1, P59, DOI 10.1016/j.wace.2013.07.004
   Zhu Q, 2014, GLOBAL HEALTH ACTION, V7, DOI 10.3402/gha.v7.25051
NR 65
TC 6
Z9 6
U1 1
U2 15
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD APR
PY 2018
VL 10
IS 4
AR 1179
DI 10.3390/su10041179
PG 20
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA GJ3IY
UT WOS:000435188000283
OA gold
DA 2025-01-10
ER

PT J
AU Vanschoenwinkel, J
   Van Passel, S
AF Vanschoenwinkel, Janka
   Van Passel, Steven
TI Climate response of rainfed versus irrigated farms: the bias of farm
   heterogeneity in irrigation
SO CLIMATIC CHANGE
LA English
DT Article
ID IMPACT; AGRICULTURE; MODEL
AB Researchers who do not take into account farm heterogeneity in implementing specific climate change adaptation options might significantly bias their findings. To prove this point, this paper focusses on irrigation as an adaptation option to climate change and highlights the fact that there is no such thing as "irrigation." Instead, different farms consider water management options across a spectrum that ranges from purely rainfed farms to purely irrigated farms with in between the extreme practices such as supplemental irrigation, water conservation practices, and different irrigation techniques. Accounting for such differences is necessary, yet difficult due to a lack of farm-specific data on water management and irrigation. This paper uses unique Farm Accountancy Data Network data of Western European farmers on the proportion of farmland that each farm irrigates. Unlike previous work, this allows taking into account some within-irrigation heterogeneity instead of simply categorizing farms as being "irrigated." We estimate and compare climate response models based on the Ricardian cross-sectional method for a large range of irrigation categories. The results give insights into how the farm irrigation climate response can be significantly different depending on how irrigation is defined. This proves that ignoring within-adaptation differences when comparing non-adaptation with adaptation (in this case, rainfed versus irrigated agriculture) might lead to biased conclusions with regard to effectiveness of adaptation strategies. We therefore argue that it might be more relevant to understand at which point and under which circumstances irrigated agriculture is more or less beneficial than rainfed agriculture.
C1 [Vanschoenwinkel, Janka] Hasselt Univ, Doctoral Sch Behav Sci & Humanities, Res Grp Environm Econ, Agoralaan Bldg D, Diepenbeek, Belgium.
   [Van Passel, Steven] Univ Antwerp, Dept Engn Management, Prinsstr 13, Antwerp, Belgium.
C3 Hasselt University; University of Antwerp
RP Vanschoenwinkel, J (corresponding author), Hasselt Univ, Doctoral Sch Behav Sci & Humanities, Res Grp Environm Econ, Agoralaan Bldg D, Diepenbeek, Belgium.
EM janka.vanschoenwinkel@gmail.com; steven.vanpassel@uantwerp.be
OI Vanschoenwinkel, Janka/0000-0002-5221-2799; Van Passel,
   Steven/0000-0002-6971-9246
FU Horizon 2020 project SUFISA [635577]; H2020 Societal Challenges
   Programme [635577] Funding Source: H2020 Societal Challenges Programme
FX This paper was supported by the Horizon 2020 project SUFISA (Grant
   Agreement No. 635577).
CR [Anonymous], 2007, COMPREHENSIVE ASSESS
   [Anonymous], 2009, ENVIRON DEV ECON
   [Anonymous], 2017, FAOSTAT
   Bodini A, 2009, PACIOLI 17 INNOVATIO
   Chatzopoulos T, 2016, EUR REV AGRIC ECON, V43, P217, DOI 10.1093/erae/jbv014
   Cisilino F., 2011, EVALUATING RURAL DEV
   European Commission, 2014, COMM FARM ACC DAT NE
   FADN, 2016, SAMPL SEL
   Finger R, 2011, CLIMATIC CHANGE, V105, P509, DOI 10.1007/s10584-010-9931-5
   Helms S, 1996, CLIMATIC CHANGE, V33, P1, DOI 10.1007/BF00140510
   Kurukulasuriya P, 2006, WORLD BANK ECON REV, V20, P367, DOI 10.1093/wber/lhl004
   Kurukulasuriya P, 2011, CLIM CHANG ECON, V2, P149, DOI 10.1142/S2010007811000255
   Mendelsohn R, 2003, LAND ECON, V79, P328, DOI 10.2307/3147020
   MENDELSOHN R, 1994, AM ECON REV, V84, P753
   Reidsma P, 2010, EUR J AGRON, V32, P91, DOI 10.1016/j.eja.2009.06.003
   Reilly JM, 1999, CLIMATIC CHANGE, V43, P645, DOI 10.1023/A:1005557606326
   Rosenzweig C, 2014, P NATL ACAD SCI USA, V111, P3268, DOI 10.1073/pnas.1222463110
   Schlenker W, 2006, REV ECON STAT, V88, P113, DOI 10.1162/rest.2006.88.1.113
   Seo S.N., 2008, World Bank Policy Research Working Paper no. 4603
   Seo SN, 2008, ECOL ECON, V67, P109, DOI 10.1016/j.ecolecon.2007.12.007
   Seo SN, 2008, CHIL J AGR RES, V68, P69, DOI 10.4067/S0718-58392008000100007
   Tubiello NN, 2005, CLIMATE VARIABILITY, P47
   Van Passel S, 2017, ENVIRON RESOUR ECON, V67, P725, DOI 10.1007/s10640-016-0001-y
   Vanschoenwinkel J, 2016, GLOBAL ENVIRON CHANG, V41, P74, DOI 10.1016/j.gloenvcha.2016.09.003
   Wang JX, 2009, AGR ECON-BLACKWELL, V40, P323, DOI 10.1111/j.1574-0862.2009.00379.x
NR 25
TC 19
Z9 19
U1 3
U2 22
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD MAR
PY 2018
VL 147
IS 1-2
BP 225
EP 234
DI 10.1007/s10584-018-2141-2
PG 10
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA FX3GN
UT WOS:000425959700017
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Läderach, P
   Ramirez-Villegas, J
   Navarro-Racines, C
   Zelaya, C
   Martinez-Valle, A
   Jarvis, A
AF Laderach, Peter
   Ramirez-Villegas, Julian
   Navarro-Racines, Carlos
   Zelaya, Carlos
   Martinez-Valle, Armando
   Jarvis, Andy
TI Climate change adaptation of coffee production in space and time
SO CLIMATIC CHANGE
LA English
DT Article
DE Climate change; Adaptation; Spatial modeling; Nicaragua; Incremental
   adaptation; Transformative adaptation
ID TRANSFORMATIONAL ADAPTATION; SPECIES DISTRIBUTIONS; PREDICTION;
   UNCERTAINTY; YIELDS; COCOA
AB Coffee is grown in more than 60 tropical countries on over 11 million ha by an estimated 25 million farmers, most of whom are smallholders. Several regional studies demonstrate the climate sensitivity of coffee (Coffea arabica) and the likely impact of climate change on coffee suitability, yield, increased pest and disease pressure and farmers' livelihoods. The objectives of this paper are (i) to quantify the impact of progressive climate change to grow coffee and to produce high quality coffee in Nicaragua and (ii) to develop an adaptation framework across time and space to guide adaptation planning. We used coffee location and cup quality data from Nicaragua in combination with the Maxent and CaNaSTA crop suitability models, the WorldClim historical data and the CMIP3 global circulation models to predict the likely impact of climate change on coffee suitability and quality. We distinguished four different impact scenarios: Very high (coffee disappears), high (large negative changes), medium (little negative changes) and increase (positive changes) in climate suitability. During the Nicaraguan coffee roundtable, most promising adaptation strategies were identified, which we then used to develop a two-dimensional adaptation framework for coffee in time and space. Our analysis indicates that incremental adaptation may occur over short-term horizons at lower altitudes, whereas the same areas may undergo transformative adaptation in the longer term. At higher elevations incremental adaptation may be needed in the long term. The same principle and framework is applicable across coffee growing regions around the world.
C1 [Laderach, Peter; Zelaya, Carlos; Martinez-Valle, Armando] Int Ctr Trop Agr CIAT, Managua, Nicaragua.
   [Laderach, Peter; Ramirez-Villegas, Julian; Navarro-Racines, Carlos; Jarvis, Andy] CGIAR Res Program Climate Change Agr & Food Secur, Cali, Colombia.
   [Ramirez-Villegas, Julian; Navarro-Racines, Carlos; Jarvis, Andy] Int Ctr Trop Agr CIAT, Cali, Colombia.
   [Ramirez-Villegas, Julian] Univ Leeds, Sch Earth & Environm, Leeds, W Yorkshire, England.
C3 Alliance; International Center for Tropical Agriculture - CIAT; CGIAR;
   Alliance; International Center for Tropical Agriculture - CIAT;
   University of Leeds
RP Läderach, P (corresponding author), Int Ctr Trop Agr CIAT, Managua, Nicaragua.; Läderach, P (corresponding author), CGIAR Res Program Climate Change Agr & Food Secur, Cali, Colombia.
EM p.laderach@cgiar.org
RI Ramirez-Villegas, Julian/AAY-8073-2020; Jarvis, Andy/K-5516-2013
OI Navarro-Racines, Carlos Eduardo/0000-0002-8692-6431; Jarvis,
   Andy/0000-0001-6543-0798; Laderach, Peter/0000-0001-8708-6318
CR [Anonymous], 1 CIAT DAPAWPICFTA
   [Anonymous], EL CAF EN NIC
   [Anonymous], 2001, COFFEE CUPPERS HDB S
   [Anonymous], CROP NICHE SELECTION
   [Anonymous], INF AN 2012 FUND DES
   [Anonymous], 2013, GLOBAL CLIMATE RISK
   [Anonymous], ELABORACION MAPA CUL
   [Anonymous], PROJECTED SHIFTS COF
   [Anonymous], SPECIAL REPORT EMISS
   [Anonymous], INTEGRATED FRAMEWORK
   [Anonymous], WHATS WORD CONFLICTI
   [Anonymous], EC CAMB CLIM CENTR
   Avelino J, 2015, FOOD SECUR, V7, P303, DOI 10.1007/s12571-015-0446-9
   Barbet-Massin M, 2012, METHODS ECOL EVOL, V3, P327, DOI 10.1111/j.2041-210X.2011.00172.x
   Bunn C, 2015, CLIMATIC CHANGE, V129, P89, DOI 10.1007/s10584-014-1306-x
   Busby J. R., 1991, Plant Protection Quarterly, V6, P8
   Challinor AJ, 2005, PHILOS T R SOC B, V360, P2085, DOI 10.1098/rstb.2005.1740
   Craparo ACW, 2015, AGR FOREST METEOROL, V207, P1, DOI 10.1016/j.agrformet.2015.03.005
   Elith J, 2006, ECOGRAPHY, V29, P129, DOI 10.1111/j.2006.0906-7590.04596.x
   Fielding AH, 1997, ENVIRON CONSERV, V24, P38, DOI 10.1017/S0376892997000088
   Garcia JC, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0113510
   Giorgi F, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2006GL025734
   Gourdji S, 2015, AGR FOREST METEOROL, V200, P270, DOI 10.1016/j.agrformet.2014.10.002
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Jha S, 2014, BIOSCIENCE, V64, P416, DOI 10.1093/biosci/biu038
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   King BL, 2012, PLOS ONE, V7, DOI [10.1371/journal.pone.0047149, 10.1371/journal.pone.0047981, 10.1371/journal.pone.0046524]
   Knutti R, 2013, NAT CLIM CHANGE, V3, P369, DOI [10.1038/nclimate1716, 10.1038/NCLIMATE1716]
   Läderach P, 2013, CLIMATIC CHANGE, V119, P841, DOI 10.1007/s10584-013-0774-8
   Läderach P, 2011, FIELD CROP RES, V120, P321, DOI 10.1016/j.fcr.2010.10.006
   Liu CR, 2005, ECOGRAPHY, V28, P385, DOI 10.1111/j.0906-7590.2005.03957.x
   Lobo JM, 2008, GLOBAL ECOL BIOGEOGR, V17, P145, DOI 10.1111/j.1466-8238.2007.00358.x
   Manel S, 2001, J APPL ECOL, V38, P921, DOI 10.1046/j.1365-2664.2001.00647.x
   Oberthür T, 2011, FOOD POLICY, V36, P783, DOI 10.1016/j.foodpol.2011.07.005
   Peterson AT, 2008, ECOL MODEL, V213, P63, DOI 10.1016/j.ecolmodel.2007.11.008
   Phillips SJ, 2006, ECOL MODEL, V190, P231, DOI 10.1016/j.ecolmodel.2005.03.026
   Phillips SJ, 2008, ECOGRAPHY, V31, P161, DOI 10.1111/j.0906-7590.2008.5203.x
   Rahn E, 2014, MITIG ADAPT STRAT GL, V19, P1119, DOI 10.1007/s11027-013-9467-x
   Rickards L, 2012, CROP PASTURE SCI, V63, P240, DOI 10.1071/CP11172
   Schroth G, 2017, MITIG ADAPT STRAT GL, V22, P903, DOI 10.1007/s11027-016-9707-y
   Schroth G, 2016, SCI TOTAL ENVIRON, V556, P231, DOI 10.1016/j.scitotenv.2016.03.024
   Schroth G, 2009, MITIG ADAPT STRAT GL, V14, P605, DOI 10.1007/s11027-009-9186-5
   Smith MS, 2011, PHILOS T R SOC A, V369, P196, DOI 10.1098/rsta.2010.0277
   van Rikxoort H, 2014, AGRON SUSTAIN DEV, V34, P887, DOI 10.1007/s13593-014-0223-8
   VanDerWal J, 2009, ECOL MODEL, V220, P589, DOI 10.1016/j.ecolmodel.2008.11.010
   Vermeulen SJ, 2013, P NATL ACAD SCI USA, V110, P8357, DOI 10.1073/pnas.1219441110
   Waller J.M., 2007, World Coffee Production, V2, P17
   Wardle DA, 2011, SCIENCE, V332, P1273, DOI 10.1126/science.1197479
   Warren DL, 2011, ECOL APPL, V21, P335, DOI 10.1890/10-1171.1
   Whitsed R, 2012, APPL GEOGR, V32, P401, DOI 10.1016/j.apgeog.2011.06.016
NR 50
TC 147
Z9 157
U1 11
U2 154
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD MAR
PY 2017
VL 141
IS 1
BP 47
EP 62
DI 10.1007/s10584-016-1788-9
PG 16
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA EM3GC
UT WOS:000395201500004
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Chelleri, L
   Minucci, G
   Skrimizea, E
AF Chelleri, Lorenzo
   Minucci, Guido
   Skrimizea, Eirini
TI Does community resilience decrease social-ecological vulnerability?
   Adaptation pathways trade-off in the Bolivian Altiplano
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Adaptation pathway; Maladaptation; Vulnerability trade-offs; Community
   resilience; Positive adaptation; Quinoa; Andean communities; Regional
   sustainability; Climate change adaptation
ID CLIMATE-CHANGE; DISASTER RISK; QUINOA; CHALLENGES
AB Worsening climate change impacts and environmental degradation are increasingly supporting policies and plans in framing a linear understanding of resilience building and vulnerability reduction. However, adaptations to different but interacting drivers of change are unclear in the mix of opportunities and threats related to increasing connections, emerging technologies, new patterns of dependency and possible lock-in effects. This paper discusses a more open-ended understanding of the relationship between resilience and vulnerability, highlighting emerging trade-offs among adaptive capacities and exposures to different (and new) threats as they relate to social-ecological sustainability. The transition of the Southern Bolivian Altiplano, from being a remote rural area of subsistence farming to a global leader in quinoa production and exportation, has been taken as a study case. Results from 18 workshops organised within different communities provide insights about a range of trade-offs between community resilience attributes and social-ecological vulnerability induced from land use changes, livestock strategies, communities' behavioural change and institutions' emerging policies. The main theoretical advances of the paper relate to the need for critically framing multiple threat exposures and adaptive capacity trade-offs, contributing to arguing the usually positive meaning of resilience, and taking into account "to whom or to what is positive which adaptation" and "which trade-off should be accepted, and why". Framing adaptive pathways through these questions would serve as a tool for addressing sustainable development goals, while avoiding lock-ins or unsustainable path dependencies.
C1 [Chelleri, Lorenzo; Skrimizea, Eirini] Gran Sasso Sci Inst, GSSI Social Sci, Viale Francesco Crispi 7, I-67100 Laquila, Italy.
   [Minucci, Guido] Politecn Milan, Architecture & Urban Studies Dept, Milan, Italy.
C3 Gran Sasso Science Institute (GSSI); Polytechnic University of Milan
RP Chelleri, L (corresponding author), Gran Sasso Sci Inst, GSSI Social Sci, Viale Francesco Crispi 7, I-67100 Laquila, Italy.
EM lorenzo.chelleri@gssi.infn.it; guido.minucci@polimi.it;
   eirini.skrimizea@gssi.infn.it
RI Minucci, Guido/O-2018-2019; SKRIMIZEA, EIRINI MARIA/O-6049-2019;
   Minucci, Guido/G-1175-2016
OI Chelleri, Lorenzo/0000-0003-0229-5028; Minucci,
   Guido/0000-0001-7195-0239; SKRIMIZEA, EIRINI/0000-0001-7952-3303
FU Fondazione ACRA-CCS
FX Authors acknowledge Fondazione ACRA-CCS and Carlo Krusich for their
   support in the research activities. Furthermore, authors would like to
   acknowledge the work of the editors and two anonymous reviewers which
   provided critical comments in order to enhance the quality of the
   manuscript.
CR Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   [Anonymous], 2015, State-of-the-Art Report on Quinoa around the World in 2013
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Beilin R, 2015, URBAN STUD, V52, P1304, DOI 10.1177/0042098013505654
   Bennett NJ, 2016, REG ENVIRON CHANGE, V16, P907, DOI 10.1007/s10113-015-0839-5
   Berkes F, 2013, SOC NATUR RESOUR, V26, P5, DOI 10.1080/08941920.2012.736605
   Burton I, 1997, CLIMATIC CHANGE, V36, P185, DOI 10.1023/A:1005334926618
   Chaskin R.J., 2008, Child Care in Practice, V14, P65, DOI 10.1080/13575270701733724
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   Cramer W, 2002, REG ENVIRON CHANGE, V3, P1, DOI 10.1007/s10113-002-0051-2
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Dorian F, 2009, QUINUA TERRITORIO EX
   Erb KH, 2009, ECOL ECON, V69, P328, DOI 10.1016/j.ecolecon.2009.06.025
   Eriksen S, 2011, CLIM DEV, V3, P7, DOI 10.3763/cdev.2010.0060
   FAO-Food and Agriculture Organization of the United Nations, 2013, FOOD OUTL BIANN REP
   Fearnside PM, 2001, ENVIRON CONSERV, V28, P23, DOI 10.1017/S0376892901000030
   Felix D., 2009, QUINUA TERRITORIO EX
   Foley JA, 2007, P NATL ACAD SCI USA, V104, P12585, DOI 10.1073/pnas.0705190104
   Gandarillas A., 2015, STATE ART REPORT QUI, V1st ed., P344
   German L, 2011, ECOL SOC, V16, DOI 10.5751/ES-04516-160429
   Giuliani A., 2012, Biodiversity of Andean grains: balancing market potential and sustainable livelihoods
   Haberl H, 2007, P NATL ACAD SCI USA, V104, P12942, DOI 10.1073/pnas.0704243104
   Hellin J, 2005, DEV PRACT, V15, P165, DOI 10.1080/09614520500041344
   IBCE-Instituto Boliviano de Comercio Exterior, 2013, BOL QUIN TRAV BORD W
   Jacobsen SE, 2011, J AGRON CROP SCI, V197, P390, DOI 10.1111/j.1439-037X.2011.00475.x
   Kerssen TM, 2015, THIRD WORLD Q, V36, P489, DOI 10.1080/01436597.2015.1002992
   Lambin EF, 2001, GLOBAL ENVIRON CHANG, V11, P261, DOI [10.1016/S0959-3780(01)00007-3, 10.1146/annurev.energy.28.050302.105459]
   Lauer M, 2013, GLOBAL ENVIRON CHANG, V23, P40, DOI 10.1016/j.gloenvcha.2012.10.011
   Maclean K, 2014, J ENVIRON PLANN MAN, V57, P144, DOI 10.1080/09640568.2013.763774
   Maguire B., 2008, ASSESSING COMMUNITYS
   Markemann A, 2009, LIVEST SCI, V124, P119, DOI 10.1016/j.livsci.2009.01.011
   Martin C, 2012, MIGRACION BOLIVIANO
   Matyas D, 2015, DISASTERS, V39, pS1, DOI 10.1111/disa.12107
   Miller F, 2010, ECOL SOC, V15
   Mulligan M, 2016, INT PLAN STUD, V21, P348, DOI 10.1080/13563475.2016.1155974
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Phalan B, 2009, APPL ENERG, V86, pS21, DOI 10.1016/j.apenergy.2009.04.046
   Grau HR, 2008, ECOL SOC, V13
   RUALES J, 1993, FOOD CHEM, V48, P131, DOI 10.1016/0308-8146(93)90047-J
   Sassen S, 2010, GLOBAL NETW, V10, P150, DOI 10.1111/j.1471-0374.2010.00279.x
   Schipper ELF, 2009, CLIM DEV, V1, P16, DOI 10.3763/cdev.2009.0004
   Schipper L, 2006, DISASTERS, V30, P19, DOI 10.1111/j.1467-9523.2006.00304.x
   Seto KC, 2012, P NATL ACAD SCI USA, V109, P7687, DOI 10.1073/pnas.1117622109
   Seto KC, 2010, CURR OPIN SUST, V2, P127, DOI 10.1016/j.cosust.2010.07.003
   Slunge D., 2013, Environment and climate change in Bolivia: Challenges and opportunities for development
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smith B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966
   Squeo FA, 2006, REV CHIL HIST NAT, V79, P245
   Turner BL, 2010, GLOBAL ENVIRON CHANG, V20, P570, DOI 10.1016/j.gloenvcha.2010.07.003
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   Wilson GA, 2014, J ENVIRON PLANN MAN, V57, P1, DOI 10.1080/09640568.2012.741519
NR 54
TC 28
Z9 31
U1 1
U2 79
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD DEC
PY 2016
VL 16
IS 8
SI SI
BP 2229
EP 2241
DI 10.1007/s10113-016-1046-8
PG 13
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA ED6IK
UT WOS:000388959100006
DA 2025-01-10
ER

PT J
AU Karlsson, M
   Hovelsrud, GK
AF Karlsson, Marianne
   Hovelsrud, Grete K.
TI Local collective action: Adaptation to coastal erosion in the Monkey
   River Village, Belize
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Adaptation; Belize; Coastal erosion; Collective action; Social
   mobilisation
ID CLIMATE-CHANGE ADAPTATION; ENVIRONMENTAL-CHANGE; SOCIAL-MOVEMENTS; PLACE
   ATTACHMENT; VULNERABILITY; RESILIENCE; FRAMEWORK; SUSTAINABILITY;
   CONSERVATION; MANAGEMENT
AB Successful adaptation to environmental change and variability is closely connected with social groups' ability to act collectively, but many social-ecological challenges exceed local adaptive capacity which necessitate assistance from governmental institutions. Few studies have investigated how local collective action can be used to enrol external support for adaptation. This paper reduces this research gap by analysing a locally driven adaptation process in response to coastal erosion in Monkey River Village, Belize. Drawing on literature on adaptation and political ecology, we examine the different strategies Me local residents have used over time to influence government authorities to support them in curbing the coastal erosion. Our findings show that the local mobilisation generated government support for a temporary sea defence and that collective strategies emerge as a response to threats to a place specific way of life. Our case illustrates that it was essential that the villagers could ally with journalists, researchers and local NGOs to make their claims for protection heard by the government. The paper contributes to adaptation research by arguing that local collective action, seen as contestation over rights to protection from environmental change, can be a means for places and communities not prioritised by formal policies to enrol external support for adaptation. Our study supports and adds to the perspective that attention to formal arrangements such as adaptation policy alone has limited explanatory power to understand collective responses to change. (c) 2015 Elsevier Ltd. All rights reserved.
C1 [Karlsson, Marianne] Norwegian Univ Life Sci, NMBU, Dept Int Environm & Dev Studies, NO-1432 As, Norway.
   [Karlsson, Marianne; Hovelsrud, Grete K.] Ctr Int Climate & Environm Res Oslo, N-0318 Oslo, Norway.
   [Hovelsrud, Grete K.] Nordland Res Inst, N-8049 Bodo, Norway.
C3 Norwegian University of Life Sciences
RP Karlsson, M (corresponding author), Norwegian Univ Life Sci, NMBU, Dept Int Environm & Dev Studies, POB 5003, NO-1432 As, Norway.
EM marianne.karlsson@nmbu.no; grete.hovelsrud@nforsk.no
OI Karlsson, Marianne/0000-0002-8875-6253
FU GLOBMEK programme of the Research Council of Norway through the project
   Climate Change Vulnerability and Adaptation For Small Island Developing
   States [199380/H30]
FX We are grateful to Siri Eriksen and the two anonymous reviewers for
   insightful comments and to Jonas Karstensen for assisting us with maps.
   We especially wish to thank the residents of Monkey River Village for
   participating in the research and the Caribbean Community Climate Change
   Centre for their good cooperation. This study was funded by the GLOBMEK
   programme of the Research Council of Norway through the project Climate
   Change Vulnerability and Adaptation For Small Island Developing States
   Project number 199380/H30.
CR Adams WM, 2001, ORYX, V35, P193, DOI 10.1017/S0030605300031847
   Adger WN, 2011, GLOBAL ENVIRON POLIT, V11, P1, DOI 10.1162/GLEP_a_00051
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Adger WN, 2001, DEV CHANGE, V32, P681, DOI 10.1111/1467-7660.00222
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Adger WN, 2003, ECON GEOGR, V79, P387
   Adger WN, 1999, WORLD DEV, V27, P249, DOI 10.1016/S0305-750X(98)00136-3
   Agrawal A, 2010, NEW FRONT SOC POLICY, P173
   Agyeman J, 2009, ENVIRON PLANN A, V41, P509, DOI 10.1068/a41301
   Almudi T, 2010, LOCAL ENVIRON, V15, P217, DOI 10.1080/13549830903575570
   Amundsen H, 2015, LOCAL ENVIRON, V20, P257, DOI 10.1080/13549839.2013.838751
   [Anonymous], PLACENCIA BREEZ 0309
   [Anonymous], 2004, LIBERATION ECOLOGIES
   [Anonymous], LOCAL ENV
   [Anonymous], INT PERSPECTIVES CLI
   [Anonymous], INTEGRATED MODELS SU
   [Anonymous], AMANDALA 0313
   [Anonymous], 2009, The Guardian
   [Anonymous], ECOSYSTEM BASED APPR
   [Anonymous], THESIS U S FLORIDA
   [Anonymous], MONKEY RIVER VILLAGE
   [Anonymous], COMMUNICATION
   [Anonymous], COMMUNICATION
   [Anonymous], 1995, ENCOUNTERING DEV
   [Anonymous], TECHNICAL NOTES INTE
   [Anonymous], ADAPTIVE CHALLENGE C
   [Anonymous], 2003, CLIMATE CHANGE ADAPT, DOI DOI 10.1142/P298
   [Anonymous], NEWS5 1106
   [Anonymous], 2009, Climate Change and the Caribbean: A Regional Framework for Achieving Development Resilient to Climate Change (2009-2015)
   [Anonymous], MONKEY RIVER BASELIN
   [Anonymous], ENCR SEA THREAT MONK
   [Anonymous], 2010 POP HOUS CENS S
   [Anonymous], REG ENVIRON CHANGE
   [Anonymous], 2003, The Vulnerability of Cities: Natural Disasters and Social Resilience
   [Anonymous], 7NEWS 0318
   [Anonymous], MON WEATHER REV
   [Anonymous], NEWS5 0622
   [Anonymous], THESIS U LONDON
   Armitage D, 2011, GLOBAL ENVIRON CHANG, V21, P995, DOI 10.1016/j.gloenvcha.2011.04.006
   Beazley K, 2009, DEV CHANGE, V40, P219, DOI 10.1111/j.1467-7660.2009.01513.x
   Bebbington A, 2008, WORLD DEV, V36, P2874, DOI 10.1016/j.worlddev.2007.11.017
   Benford RD, 2000, ANNU REV SOCIOL, V26, P611, DOI 10.1146/annurev.soc.26.1.611
   Burley D, 2007, ORGAN ENVIRON, V20, P347, DOI 10.1177/1086026607305739
   Cambers G, 2009, AQUAT ECOSYST HEALTH, V12, P168, DOI 10.1080/14634980902907987
   Clark-Ibáñez M, 2004, AM BEHAV SCI, V47, P1507, DOI 10.1177/0002764204266236
   Cornwall A., 2004, PARTICIPATION TYRANN, P75
   Cote M, 2012, PROG HUM GEOG, V36, P475, DOI 10.1177/0309132511425708
   Dannevig H, 2013, ENVIRON PLANN C, V31, P490, DOI 10.1068/c1152
   Dessai S, 2005, GLOBAL ENVIRON CHANG, V15, P87, DOI 10.1016/j.gloenvcha.2004.12.004
   Devine-Wright P, 2013, GLOBAL ENVIRON CHANG, V23, P61, DOI 10.1016/j.gloenvcha.2012.08.003
   Dulal H. B., 2009, Sustainability, V1, P363
   Edwards B., 2004, RESOURCES SOCIAL MOV, P116
   Escobar A., 2011, ENCOUNTERING DEV MAK, V1
   Escobar Arturo., 2002, Development, V45, P28, DOI [DOI 10.1057/PALGRAVE.DEVELOPMENT.1110314, https://doi.org/10.1057/palgrave.development.1110314]
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fresque-Baxter JA, 2012, WIRES CLIM CHANGE, V3, P251, DOI 10.1002/wcc.164
   Gaventa J, 2006, IDS BULL-I DEV STUD, V37, P23, DOI 10.1111/j.1759-5436.2006.tb00320.x
   Haarstad H, 2007, POLIT GEOGR, V26, P289, DOI 10.1016/j.polgeo.2006.10.014
   Heyd T, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P269
   Heyman WD, 1999, ENVIRON MANAGE, V24, P229, DOI 10.1007/s002679900229
   Holmes G, 2014, GEOFORUM, V53, P1, DOI 10.1016/j.geoforum.2014.01.015
   Hovelsrud GK, 2010, COMMUNITY ADAPTATION AND VULNERABILITY IN ARCTIC REGIONS, P1, DOI 10.1007/978-90-481-9174-1
   Hovelsrud GK, 2010, COMMUNITY ADAPTATION AND VULNERABILITY IN ARCTIC REGIONS, P335, DOI 10.1007/978-90-481-9174-1_14
   Igoe J, 2022, ENCRUCIJADAS, V22
   KALTON G, 1986, J ROY STAT SOC A STA, V149, P65, DOI 10.2307/2981886
   Karlsson M, 2015, ECOL SOC, V20, DOI 10.5751/ES-07050-200104
   Klein RJT, 2007, CLIMATIC CHANGE, V84, P23, DOI 10.1007/s10584-007-9268-x
   KOFINAS G., 2013, Arctic resilience interim report to the Arctic council, P71
   Leach M., 2007, MOBILISING CITIZENS
   Leichenko R. M., 2002, Mitigation and Adaptation Strategies for Global Change, V7, P1, DOI 10.1023/A:1015860421954
   Lewsey C, 2004, MAR POLICY, V28, P393, DOI 10.1016/j.marpol.2003.10.016
   Luers AL, 2005, GLOBAL ENVIRON CHANG, V15, P214, DOI 10.1016/j.gloenvcha.2005.04.003
   Manuel-Navarrete D, 2007, GLOBAL ENVIRON CHANG, V17, P207, DOI 10.1016/j.gloenvcha.2006.07.002
   Medeiros D., 2011, REV CURRENT PLANNED
   Medina LK, 2010, POLAR-POLIT LEG ANTH, V33, P245, DOI 10.1111/j.1555-2934.2010.01113.x
   Mercer J., 2007, Environmental Hazards, V7, P245, DOI DOI 10.1016/J.ENVHAZ.2006.11.001
   Mimura N, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P687
   Moberg Mark., 2003, Banana Wars: Production and History in the Americas, P145
   Monnereau I, 2013, INT J GLOBAL WARM, V5, P416, DOI 10.1504/IJGW.2013.057283
   Moser S.C., 2009, IHDP update, P31
   Moser SC, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P313
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Newton A, 2012, ESTUAR COAST SHELF S, V96, P39, DOI 10.1016/j.ecss.2011.07.012
   O'Brien K, 2007, CLIM POLICY, V7, P73, DOI 10.1080/14693062.2007.9685639
   Palacio JosephO., 2001, Past and Current Methods of Community-Based Coastal Resources Management in the Southern Coast of Belize
   Pelling M, 2005, GLOBAL ENVIRON CHANG, V15, P308, DOI 10.1016/j.gloenvcha.2005.02.001
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Pitt D, 2009, ENVIRON PLANN C, V27, P841, DOI 10.1068/c0871
   Rappaport RA, 1996, ANN AM ACAD POLIT SS, V545, P64, DOI 10.1177/0002716296545001007
   Robbins Paul., 2012, Political ecology: A critical introduction, V20
   Rothman F., 1999, MOBILIZATION, V4, P41, DOI DOI 10.17813/MAIQ.4.1.G588363602261LH2
   Shah KU, 2013, GEOFORUM, V47, P125, DOI 10.1016/j.geoforum.2013.04.004
   Simpson M.C., 2012, CARIBSAVE CLIMATE CH
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smit B, 2010, COMMUNITY ADAPTATION AND VULNERABILITY IN ARCTIC REGIONS, P1, DOI 10.1007/978-90-481-9174-1_1
   Smith Neil., SOC TEXT, V33, P55, DOI DOI 10.2307/466434
   Stedman RC, 2002, ENVIRON BEHAV, V34, P561, DOI 10.1177/0013916502034005001
   Sutherland Anne., 1998, The Making of Belize, Globalization in the Margins
   Sutherland K., 2005, TIEMPO, V54, P11
   Syvitski JPM, 2005, SCIENCE, V308, P376, DOI 10.1126/science.1109454
   Tompkins EL, 2004, ECOL SOC, V9
   Tschakert P, 2013, CLIM DEV, V5, P340, DOI 10.1080/17565529.2013.828583
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   van Aalst MK, 2008, GLOBAL ENVIRON CHANG, V18, P165, DOI 10.1016/j.gloenvcha.2007.06.002
   Watts M., 1996, LIBERATION ECOLOGIES, P260
   Young ColinA., 2007, Taking Stock: Belize at 25 years of Independence, V1, P123
NR 106
TC 36
Z9 43
U1 4
U2 41
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0959-3780
EI 1872-9495
J9 GLOBAL ENVIRON CHANG
JI Glob. Environ. Change-Human Policy Dimens.
PD MAY
PY 2015
VL 32
BP 96
EP 107
DI 10.1016/j.gloenvcha.2015.03.002
PG 12
WC Environmental Sciences; Environmental Studies; Geography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA CJ8RH
UT WOS:000355770700010
DA 2025-01-10
ER

PT J
AU Reidsma, P
   Wolf, J
   Kanellopoulos, A
   Schaap, BF
   Mandryk, M
   Verhagen, J
   van Ittersum, MK
AF Reidsma, Pytrik
   Wolf, Joost
   Kanellopoulos, Argyris
   Schaap, Ben F.
   Mandryk, Maryia
   Verhagen, Jan
   van Ittersum, Martin K.
TI Climate change impact and adaptation research requires integrated
   assessment and farming systems analysis: a case study in the Netherlands
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE climate change adaptation; scenario; farm diversity; crop simulation;
   bio-economic farm modelling
ID YIELD GAPS; CROP YIELD; RESPONSES; MODELS; WHEAT; AGRICULTURE;
   VARIABILITY; IMPROVEMENT; STRATEGIES; SCENARIOS
AB Rather than on crop modelling only, climate change impact assessments in agriculture need to be based on integrated assessment and farming systems analysis, and account for adaptation at different levels. With a case study for Flevoland, the Netherlands, we illustrate that (1) crop models cannot account for all relevant climate change impacts and adaptation options, and (2) changes in technology, policy and prices have had and are likely to have larger impacts on farms than climate change. While crop modelling indicates positive impacts of climate change on yields of major crops in 2050, a semiquantitative and participatory method assessing impacts of extreme events shows that there are nevertheless several climate risks. A range of adaptation measures are, however, available to reduce possible negative effects at crop level. In addition, at farm level farmers can change cropping patterns, and adjust inputs and outputs. Also farm structural change will influence impacts and adaptation. While the 5th IPCC report is more negative regarding impacts of climate change on agriculture compared to the previous report, also for temperate regions, our results show that when putting climate change in context of other drivers, and when explicitly accounting for adaptation at crop and farm level, impacts may be less negative in some regions and opportunities are revealed. These results refer to a temperate region, but an integrated assessment may also change perspectives on climate change for other parts of the world.
C1 [Reidsma, Pytrik; Wolf, Joost; Kanellopoulos, Argyris; Mandryk, Maryia; van Ittersum, Martin K.] Wageningen Univ, Plant Prod Syst Grp, NL-6700 AK Wageningen, Netherlands.
   [Schaap, Ben F.; Verhagen, Jan] Wageningen Univ & Res Ctr, Plant Res Int, NL-6700 AP Wageningen, Netherlands.
   [Kanellopoulos, Argyris] Wageningen Univ, Operat Res & Logist Grp, NL-6706 KN Wageningen, Netherlands.
C3 Wageningen University & Research; Wageningen University & Research;
   Wageningen University & Research
RP Reidsma, P (corresponding author), Wageningen Univ, Plant Prod Syst Grp, POB 430, NL-6700 AK Wageningen, Netherlands.
EM pytrik.reidsma@wur.nl
RI Schaap, Ben/B-5739-2013; Kanellopoulos, Antonis/I-5437-2015; van
   Ittersum, Martin/J-8024-2014
OI Schaap, Ben/0000-0003-2877-8597; Reidsma, Pytrik/0000-0003-2294-809X;
   van Ittersum, Martin/0000-0001-8611-6781
FU AgriAdapt project, within the Dutch Programme 'Climate for Spatial
   Planning'; Climate Adaptation in Rural Areas project, within the Dutch
   Programme 'Knowledge for Climate'; High-quality Climate Projections
   project, within the Dutch Programme 'Knowledge for Climate'
FX This study was funded by the AgriAdapt project, within the Dutch
   Programme 'Climate for Spatial Planning', and the Climate Adaptation in
   Rural Areas and High-quality Climate Projections projects, within the
   Dutch Programme 'Knowledge for Climate'.
CR Angulo C, 2013, AGR FOREST METEOROL, V170, P32, DOI 10.1016/j.agrformet.2012.11.017
   [Anonymous], 2014, ACIAR CANBERRA ACT
   Antle JM, 2010, APPL ECON PERSPECT P, V32, P386, DOI 10.1093/aepp/ppq015
   Bodlaender K. B. A., 1964, European Potato Journal, V7, P57, DOI 10.1007/BF02366307
   Boogaard H, 2013, FIELD CROP RES, V143, P130, DOI 10.1016/j.fcr.2012.11.005
   Brisson N, 2010, FIELD CROP RES, V119, P201, DOI 10.1016/j.fcr.2010.07.012
   Cassman KG, 1999, P NATL ACAD SCI USA, V96, P5952, DOI 10.1073/pnas.96.11.5952
   Challinor AJ, 2014, NAT CLIM CHANGE, V4, P287, DOI [10.1038/nclimate2153, 10.1038/NCLIMATE2153]
   CHIOTTI QP, 1995, J RURAL STUD, V11, P335, DOI 10.1016/0743-0167(95)00023-G
   Cooper W., 2007, Data envelopement analysis. A comprehensive text with models, applications, V2nd
   Ewert F, 2005, AGR ECOSYST ENVIRON, V107, P101, DOI 10.1016/j.agee.2004.12.003
   Ewert F, 2011, AGRIADAPT PROJECT RE
   Fischer RAT, 2010, CROP SCI, V50, pS85, DOI 10.2135/cropsci2009.10.0564
   Gobin A, 2012, NAT HAZARD EARTH SYS, V12, P1911, DOI 10.5194/nhess-12-1911-2012
   Hermans CML, 2010, ECOL MODEL, V221, P2177, DOI 10.1016/j.ecolmodel.2010.03.021
   Himanen SJ, 2013, REG ENVIRON CHANGE, V13, P17, DOI 10.1007/s10113-012-0308-3
   Holzkämper A, 2015, ENVIRON MODELL SOFTW, V66, P27, DOI 10.1016/j.envsoft.2014.12.012
   Iglesias A, 2012, CLIMATIC CHANGE, V112, P143, DOI 10.1007/s10584-011-0344-x
   Jamieson PD, 1999, AGR FOREST METEOROL, V96, P157, DOI 10.1016/S0168-1923(99)00060-X
   Janssen S, 2007, AGR SYST, V94, P622, DOI 10.1016/j.agsy.2007.03.001
   Kanellopoulos A, 2014, EUR J AGRON, V52, P69, DOI 10.1016/j.eja.2013.10.003
   Kassie BT, 2014, FIELD CROP RES, V160, P41, DOI 10.1016/j.fcr.2014.02.010
   Lobell DB, 2010, AGR FOREST METEOROL, V150, P1443, DOI 10.1016/j.agrformet.2010.07.008
   Long SP, 2006, PLANT CELL ENVIRON, V29, P315, DOI 10.1111/j.1365-3040.2005.01493.x
   Louhichi K, 2010, AGR SYST, V103, P585, DOI 10.1016/j.agsy.2010.06.006
   Mandryk M, 2014, REG ENVIRON CHANGE, V14, P1463, DOI 10.1007/s10113-014-0589-9
   Mandryk M, 2012, LANDSCAPE ECOL, V27, P509, DOI [10.1007/s10980-012-9714-7, 10.1007/s10980-012-9721-8]
   Mendelsohn R, 2007, CLIMATIC CHANGE, V81, P1, DOI 10.1007/s10584-005-9007-0
   Nelson GC, 2014, P NATL ACAD SCI USA, V111, P3274, DOI 10.1073/pnas.1222465110
   Porter JR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P485
   Reidsma P, 2010, EUR J AGRON, V32, P91, DOI 10.1016/j.eja.2009.06.003
   Reidsma P, 2009, AGR SYST, V100, P51, DOI 10.1016/j.agsy.2008.12.009
   Reilly JM, 1998, SOIL TILL RES, V47, P275, DOI 10.1016/S0167-1987(98)00116-0
   Reynolds MP, 2005, ANN APPL BIOL, V146, P39, DOI 10.1111/j.1744-7348.2005.03100.x
   Riedijk A., 2007, Integrated scenarios of socioeconomic and climate change; a framework for the "Climate changes Spatial Planning" programme. Spinlab Reseach Memorandum SL-06
   Rienks W., 2009, Landbouwatlas van Nederland
   Rijk B, 2013, FIELD CROP RES, V149, P262, DOI 10.1016/j.fcr.2013.05.008
   Rosenzweig C, 2013, AGR FOREST METEOROL, V170, P166, DOI 10.1016/j.agrformet.2012.09.011
   Rosenzweig C, 2014, P NATL ACAD SCI USA, V111, P3268, DOI 10.1073/pnas.1222463110
   Rotmans J, 1996, CLIMATIC CHANGE, V34, P327, DOI 10.1007/BF00139296
   Rötter RP, 2011, NAT CLIM CHANGE, V1, P175
   Rurinda J, 2013, FIELD CROP RES, V154, P211, DOI 10.1016/j.fcr.2013.08.012
   Schaap BF, 2013, EUR J AGRON, V48, P30, DOI 10.1016/j.eja.2013.02.004
   Schaap BF, 2011, REG ENVIRON CHANGE, V11, P731, DOI 10.1007/s10113-011-0205-1
   Trnka M, 2011, GLOBAL CHANGE BIOL, V17, P2298, DOI 10.1111/j.1365-2486.2011.02396.x
   Troost C, 2014, AM J AGR EC IN PRESS
   Van den Hurk B., 2006, KNMI Climate Change scenarios for 2006
   van Ittersum MK, 2008, AGR SYST, V96, P150, DOI 10.1016/j.agsy.2007.07.009
   van Ittersum MK, 2013, FIELD CROP RES, V143, P4, DOI 10.1016/j.fcr.2012.09.009
   Van Oort PAJ, 2012, EUR J AGRON, V37, P11, DOI 10.1016/j.eja.2011.09.002
   Wolf J, 2011, AGRIADAPT REPORTS
   Xiao DP, 2014, EUR J AGRON, V52, P112, DOI 10.1016/j.eja.2013.09.020
NR 52
TC 61
Z9 67
U1 5
U2 74
PU IOP PUBLISHING LTD
PI BRISTOL
PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
SN 1748-9326
J9 ENVIRON RES LETT
JI Environ. Res. Lett.
PD APR
PY 2015
VL 10
IS 4
AR 045004
DI 10.1088/1748-9326/10/4/045004
PG 12
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA CG9NB
UT WOS:000353641400025
OA gold
DA 2025-01-10
ER

PT J
AU Biesbroek, GR
   Swart, RJ
   van der Knaap, WGM
AF Biesbroek, G. Robbert
   Swart, Rob J.
   van der Knaap, Wim G. M.
TI The mitigation-adaptation dichotomy and the role of spatial planning
SO HABITAT INTERNATIONAL
LA English
DT Article
DE Climate change; Spatial planning; River basin approach; Adaptation;
   Mitigation; Sustainable development
ID CLIMATE-CHANGE ADAPTATION; SUSTAINABLE DEVELOPMENT; RIVER-BASINS;
   POLICY; GOVERNANCE; CAPACITY; SCIENCE; UNCERTAINTY; MANAGEMENT;
   KNOWLEDGE
AB There is a growing awareness that both adaptation and mitigation measures are needed to reduce the impacts of climate change. Historically, due to a wide variety of reasons, mitigation and adaptation have been framed by scientists and policy makers as two different approaches to deal with the same problem: climate change. As a result, there are large differences in the way knowledge is produced, the analytical approaches that are used, and the designed policy strategies. This paper discusses the origin of the adaptation-mitigation dichotomy. Second, the paper addresses the relationship between climate change responses and spatial planning since there is a growing awareness that spatial planning can function as a switchboard for mitigation, adaptation and sustainable development objectives. Furthermore, the paper explores the role that spatial planning can play in developing effective mitigation and adaptation options in an integrated manner, searching for synergies and trade-offs. This creates the necessity to take climate change responses into account in spatial planning practices. We argue that climate change could also lead to changes in the traditional administrative structures that spatial planners are accustomed to. Since many of the main impacts of climate change have a water dimension, we discuss the river basin approach as the new administrative level at which spatial planning can increase the effectiveness of adaptation and mitigation measures and integrate these into other sustainable development policies. (C) 2008 Elsevier Ltd. All rights reserved.
C1 [Biesbroek, G. Robbert; van der Knaap, Wim G. M.] Univ Wageningen & Res Ctr, Landscape Ctr, Land Use Planning Grp, NL-6700 AA Wageningen, Netherlands.
   [Biesbroek, G. Robbert; Swart, Rob J.] Univ Wageningen & Res Ctr, Ctr Water & Climate, Earth Syst Sci & Climate Change Grp, NL-6700 AA Wageningen, Netherlands.
C3 Wageningen University & Research; Wageningen University & Research
RP Biesbroek, GR (corresponding author), Univ Wageningen & Res Ctr, Landscape Ctr, Land Use Planning Grp, Droevendaalsesteeg 3,POB 47, NL-6700 AA Wageningen, Netherlands.
EM robbert.biesbroek@wur.nl
RI Biesbroek, Robbert/GZZ-4476-2022; van der Knaap, Wim/K-2218-2012;
   Biesbroek, Robbert/I-2384-2013
OI Swart, Rob/0000-0002-1563-1150; Biesbroek, Robbert/0000-0002-2906-1419
CR Adger W. N., 2001, Journal of International Development, V13, P921, DOI 10.1002/jid.833
   Adger WN, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P717
   Adger WN, 2003, ENVIRON PLANN A, V35, P1095, DOI 10.1068/a35289
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Aerts J, 2005, WATER SCI TECHNOL, V51, P121, DOI 10.2166/wst.2005.0123
   *AMICA, 2008, AD MIT INT CLIM POL
   Becker G, 2007, WATER SCI TECHNOL, V56, P125, DOI 10.2166/wst.2007.544
   Betts R, 2007, TELLUS B, V59, P602, DOI 10.1111/j.1600-0889.2007.00284.x
   Bulkeley H, 2006, PLAN THEORY PRACT, V7, P203, DOI 10.1080/14649350600673153
   Burch S, 2007, CLIM POLICY, V7, P304, DOI 10.1080/14693062.2007.9685658
   Burton I, 2002, CLIM POLICY, V2, P145, DOI 10.1016/S1469-3062(02)00038-4
   Campbell H, 2006, PLAN THEORY PRACT, V7, P201, DOI 10.1080/14649350600681875
   [Carter T.R. Intergovernmental Panel on Climate Change (IPCC) Intergovernmental Panel on Climate Change (IPCC)], 1994, IPCC SPECIAL REPORT
   *CEC, 2007, COM20072 CEC, P13
   *CEC, 2007, COM2007354 CEC, P27
   Dowlatabadi H., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P651, DOI DOI 10.1007/S11027-007-9092-7
   *EEA, 2007, 22007 EEA, P114
   European Environment Agency (EEA), 2006, 9291678147 EEA, P84
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Garrelts H., 2008, RAUMPLANUNG, V137, P72
   Goklany I. M., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P755, DOI 10.1007/s11027-007-9098-1
   GREIVING S, 2008, RAUMPLANUNG, V137, P61
   Grundmann R, 2007, ENVIRON POLIT, V16, P414, DOI 10.1080/09644010701251656
   Gupta J., 2007, Environmental Sciences, V4, P131, DOI DOI 10.1080/15693430701742669
   Haas PM, 2004, J EUR PUBLIC POLICY, V11, P569, DOI 10.1080/1350176042000248034
   Halsnæs K, 2006, PLAN THEORY PRACT, V7, P227, DOI 10.1080/14649350600673278
   Huntington TG, 2006, J HYDROL, V319, P83, DOI 10.1016/j.jhydrol.2005.07.003
   Jasanoff S., 2004, STATES KNOWLEDGE COP
   Jones R. N., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P685, DOI 10.1007/s11027-007-9094-5
   Klein RJT, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P745
   Klein RJT, 2005, ENVIRON SCI POLICY, V8, P579, DOI 10.1016/j.envsci.2005.06.010
   Kundzewicz ZW, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P173
   Lebel L, 2006, ECOL SOC, V11
   Moss T, 2004, LAND USE POLICY, V21, P85, DOI 10.1016/j.landusepol.2003.10.001
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Nowotny H., 2001, RE THINKING SCI KNOW
   Paavola J, 2006, ECOL ECON, V56, P594, DOI 10.1016/j.ecolecon.2005.03.015
   Pielke R, 2007, NATURE, V445, P597, DOI 10.1038/445597a
   Pohl C, 2008, ENVIRON SCI POLICY, V11, P46, DOI 10.1016/j.envsci.2007.06.001
   Robinson J, 2006, AMBIO, V35, P2, DOI 10.1639/0044-7447(2006)035[0002:CCASDR]2.0.CO;2
   Sathaye J, 2007, AR4 CLIMATE CHANGE 2007: MITIGATION OF CLIMATE CHANGE, P691
   Schipper E.L.F., 2006, Rev. Eur. Comp. Int. Environ. Law, V15, P82, DOI [DOI 10.1111/J.1467-9388.2006.00501.X, 10.1111/j.1467-9388.2006.00501.x]
   Schreurs MA, 2007, GLOBAL ENVIRON POLIT, V7, P19, DOI 10.1162/glep.2007.7.4.19
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smith B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966
   Swart R, 2003, CLIM POLICY, V3, pS19, DOI 10.1016/j.clipol.2003.10.010
   Swart R, 2007, CLIM POLICY, V7, P288, DOI 10.1080/14693062.2007.9685657
   TOBLER WR, 1970, ECON GEOGR, V46, P234, DOI 10.2307/143141
   Tol RSJ, 2005, ENVIRON SCI POLICY, V8, P572, DOI 10.1016/j.envsci.2005.06.011
   Tompkins EL, 2005, ENVIRON SCI POLICY, V8, P562, DOI 10.1016/j.envsci.2005.06.012
   Ungar S, 2000, PUBLIC UNDERST SCI, V9, P297, DOI 10.1088/0963-6625/9/3/306
   Urwin K, 2008, GLOBAL ENVIRON CHANG, V18, P180, DOI 10.1016/j.gloenvcha.2007.08.002
   van den Hove S, 2007, FUTURES, V39, P807, DOI 10.1016/j.futures.2006.12.004
   *VROM, 2007, MAAK RUIMT KLIM NAT, P1
   Watson AJ, 2008, ENVIRON RESOUR ECON, V39, P37, DOI 10.1007/s10640-007-9173-9
   Weingart P, 2000, PUBLIC UNDERST SCI, V9, P261, DOI 10.1088/0963-6625/9/3/304
   White I., 2003, Journal of Environmental Planning and Management, V46, P621, DOI DOI 10.1080/0964056032000133198
   Wiering M, 2006, ENVIRON PLANN C, V24, P423, DOI 10.1068/c0417j
   Wilbanks T.J., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P957, DOI [DOI 10.1007/S11027-007-9108-3, 10.1007/s11027-007-9108-3]
   Wilbanks ThomasJ., 2007, Mitigation Adaptation Strategy Global Change, V12, P713, DOI DOI 10.1007/S11027-007-9095-4
   Wilson E, 2006, LOCAL ENVIRON, V11, P609, DOI 10.1080/13549830600853635
   Yohe GW, 2006, AMBIO, V35, P89, DOI 10.1579/0044-7447(2006)35[89:RDUICP]2.0.CO;2
NR 63
TC 213
Z9 231
U1 2
U2 75
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0197-3975
EI 1873-5428
J9 HABITAT INT
JI Habitat Int.
PD JUL
PY 2009
VL 33
IS 3
SI SI
BP 230
EP 237
DI 10.1016/j.habitatint.2008.10.001
PG 8
WC Development Studies; Environmental Studies; Regional & Urban Planning;
   Urban Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology; Public
   Administration; Urban Studies
GA 447ZB
UT WOS:000266229600002
DA 2025-01-10
ER

PT J
AU Osbahr, H
   Twyman, C
   Adger, WN
   Thomas, DSG
AF Osbahr, Henny
   Twyman, Chasca
   Adger, W. Neil
   Thomas, David S. G.
TI Evaluating Successful Livelihood Adaptation to Climate Variability and
   Change in Southern Africa
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE adaptation; Africa; climate change; livelihoods; resilience
ID ADAPTIVE COMANAGEMENT; RESILIENCE; SCALE; SPACES; MANAGEMENT;
   GOVERNANCE; RESPONSES; CAPACITY
AB This paper examines the success of small-scale farming livelihoods in adapting to climate variability and change. We represent adaptation actions as choices within a response space that includes coping but also longer-term adaptation actions, and define success as those actions which promote system resilience, promote legitimate institutional change, and hence generate and sustain collective action. We explore data on social responses from four regions across South Africa and Mozambique facing a variety of climate risks. The analysis suggests that some collective adaptation actions enhance livelihood resilience to climate change and variability but others have negative spillover effects to other scales. Any assessment of successful adaptation is, however, constrained by the scale of analysis in terms of the temporal and spatial boundaries on the system being investigated. In addition, the diversity of mechanisms by which rural communities in southern Africa adapt to risks suggests that external interventions to assist adaptation will need to be sensitive to the location-specific nature of adaptation.
C1 [Osbahr, Henny] Univ Reading, Reading RG6 2AH, Berks, England.
   [Twyman, Chasca] Univ Sheffield, Sheffield S10 2TN, S Yorkshire, England.
   [Adger, W. Neil] Univ E Anglia, Tyndall Ctr Climate Change Res, Norwich NR4 7TJ, Norfolk, England.
   [Thomas, David S. G.] Univ Oxford, Oxford OX1 2JD, England.
C3 University of Reading; University of Sheffield; University of East
   Anglia; University of Oxford
RP Osbahr, H (corresponding author), Univ Reading, Reading RG6 2AH, Berks, England.
RI ; Adger, William Neil/F-7676-2010
OI Osbahr, Henny/0000-0002-0130-2313; Thomas, David/0000-0001-6867-5504;
   Adger, William Neil/0000-0003-4244-2854
FU Tyndall Centre for Climate Change Research at the University of East
   Anglia
FX The authors are grateful to the Tyndall Centre for Climate Change
   Research at the University of East Anglia who funded this research, and
   for the support received during fieldwork in South Africa from
   Departments of Agriculture, Livestock and Water Affairs, Nkuzi
   Development Association, Municipal and District Council officials,
   Potchefstroom University, and in Mozambique from Save the Children US,
   Ministry of Agriculture, SETSAN/Fewsnet, Eduardo Mondlane University,
   and the National Institute of Disaster Management. Research development
   benefited from discussions with policy staff at Oxfam GB and the
   University of Cape Town, and the paper benefited from comments by two
   anonymous reviewers. The views expressed in this paper remain the
   responsibility of the authors.
CR Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Adger WN, 2005, ECOL SOC, V10
   Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Adger WN, 2003, ECON GEOGR, V79, P387
   Agrawal A., 2002, Drama of the commons, P41
   [Anonymous], 2001, PANARCHY UNDERSTANDI
   [Anonymous], LAND LABOUR LIVELIHO
   [Anonymous], 11 BENF HAZ RES CTR
   [Anonymous], 2009, ASSESSING COSTS ADAP
   [Anonymous], 2007, EC CLIMATE
   Binns T, 1999, J MOD AFR STUD, V37, P389, DOI 10.1017/S0022278X99003067
   Boyd E., 2008, Development (London), V51, P390, DOI 10.1057/dev.2008.32
   Brouwer R, 2006, DISASTERS, V30, P234, DOI 10.1111/j.0361-3666.2006.00317.x
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Cash DW, 2006, ECOL SOC, V11
   *COMM AFR, 2005, OUR COMM INT REP AFR
   CORBETT J, 1988, WORLD DEV, V16, P1099, DOI 10.1016/0305-750X(88)90112-X
   Cox KR, 1998, POLIT GEOGR, V17, P1, DOI 10.1016/S0962-6298(97)00048-6
   Cumming GS, 2006, ECOL SOC, V11
   Doria MD, 2009, ENVIRON SCI POLICY, V12, P810, DOI 10.1016/j.envsci.2009.04.001
   Eakin H, 2000, CLIMATIC CHANGE, V45, P19, DOI 10.1023/A:1005628631627
   ELLIS F., 1988, PEASANT EC FARM HOUS
   Fafchamps M, 2001, AM J AGR ECON, V83, P680, DOI 10.1111/0002-9092.00190
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Francis E., 2000, Making a Living: Changing livelihoods in rural Africa
   Gunderson LanceH., 2003, NAVIGATING SOCIAL EC, P33, DOI DOI 10.1017/CB09780511541957.005
   Heyer Judith., 2002, GROUP BEHAVIOUR DEV
   Holling CS, 2004, ECOL SOC, V9
   Hulme M., 2005, Climate change and Africa, P29, DOI 10.1017/CBO9780511535864.013
   *IPCC, 2007, CLIM CHANG 20007 IMP
   Kinzig AP, 2006, ECOL SOC, V11
   Klein RJT, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P465
   Latour B., 1992, Shaping technology/building society: Studies in sociotechnical change, P225
   Lebel L, 2006, ECOL SOC, V11
   Lemos MC, 2007, ECOL SOC, V12
   Low P.S., 2005, CLIMATE CHANGE AFRIC
   Murdoch J, 1998, GEOFORUM, V29, P357, DOI 10.1016/S0016-7185(98)00011-6
   Nel E., 2001, Geografiska Annaler. Series B, V83, P3, DOI DOI 10.1111/j.0435-3684.2001.00086.x
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   *OECD, 2006, 2006 PUTT CLIM CHANG
   Olsson P, 2004, ENVIRON MANAGE, V34, P75, DOI 10.1007/s00267-003-0101-7
   Olsson P, 2007, ECOL SOC, V12
   Osbahr H, 2008, GEOFORUM, V39, P1951, DOI 10.1016/j.geoforum.2008.07.010
   Ostrom E, 2007, P NATL ACAD SCI USA, V104, P15176, DOI 10.1073/pnas.0701886104
   Ostrom Elinor., 2015, GOVERNING COMMONS EV, P1
   Pelling M, 2008, ENVIRON PLANN A, V40, P867, DOI 10.1068/a39148
   Philip LJ, 1998, ENVIRON PLANN A, V30, P261, DOI 10.1068/a300261
   PLUMBER R, 2009, ECOLOGICAL ECONOMICS, V61, P67
   PUTNAM RD, 1993, 6 WORLD BANK
   Robinson J, 2006, AMBIO, V35, P2, DOI 10.1639/0044-7447(2006)035[0002:CCASDR]2.0.CO;2
   Stirling A, 2003, NEGOTIATING ENVIRONMENTAL CHANGE, P33
   Thomas DSG, 2007, CLIMATIC CHANGE, V83, P301, DOI 10.1007/s10584-006-9205-4
   Tompkins EL, 2004, ECOL SOC, V9
   Toulmin C., 2009, Climate change in Africa
   Twyman C., 2001, Review of African Political Economy, P9, DOI 10.1080/03056240108704500
   *UNFCCC, 2007, WORK PROGR IMP VULN
   Valsiner J, 2000, SOC SCI INFORM, V39, P99, DOI 10.1177/053901800039001006
   Virtanen P, 2005, SUSTAIN DEV, V13, P1, DOI 10.1002/sd.240
   Walker B., 2004, Ecology and Society, V9, P5
   Walker B, 2006, ECOL SOC, V11
   WASHINGTON R, 2004, AFR CLIM REP
   WHATMORE S, 1997, ENVIRON PLANN D, V15, P13
NR 64
TC 11
Z9 18
U1 5
U2 55
PU RESILIENCE ALLIANCE
PI WOLFVILLE
PA ACADIA UNIV, BIOLOGY DEPT, WOLFVILLE, NS B0P 1X0, CANADA
SN 1708-3087
J9 ECOL SOC
JI Ecol. Soc.
PY 2010
VL 15
IS 2
PG 20
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 625BL
UT WOS:000279866400020
OA gold, Green Submitted, Green Published
DA 2025-01-10
ER

PT J
AU O'Brien, AM
   Sawers, RJH
   Strauss, SY
   Ross-Ibarra, J
AF O'Brien, Anna M.
   Sawers, Ruairidh J. H.
   Strauss, Sharon Y.
   Ross-Ibarra, Jeffrey
TI Adaptive phenotypic divergence in an annual grass differs across biotic
   contexts
SO EVOLUTION
LA English
DT Article
DE Biotic interactions; climate adaptation; G matrix; local adaptation;
   rhizosphere; teosinte
ID LOCAL ADAPTATION; GENETIC-VARIATION; CLIMATE-CHANGE; EVOLUTIONARY
   RESPONSE; NATURAL-POPULATIONS; ROOT MICROBIOME; FLOWERING TIME; COMPLEX
   TRAITS; G MATRIX; PLANT
AB Climate is a powerful force shaping adaptation within species, yet adaptation to climate occurs against a biotic background: species interactions can filter fitness consequences of genetic variation by altering phenotypic expression of genotypes. We investigated this process using populations of teosinte, a wild annual grass related to maize (Zea mays ssp. mexicana), sampling plants from 10 sites along an elevational gradient as well as rhizosphere biota from three of those sites. We grew half-sibling teosinte families in each biota to test whether trait divergence among teosinte populations reflects adaptation or drift, and whether rhizosphere biota affect expression of diverged traits. We further assayed the influence of rhizosphere biota on contemporary additive genetic variation. We found that adaptation across environment shaped divergence of some traits, particularly flowering time and root biomass. We also observed that different rhizosphere biota shifted expressed values of these traits within teosinte populations and families and altered within-population genetic variance and covariance. In sum, our results imply that changes in trait expression and covariance elicited by rhizosphere communities could have played a historical role in teosinte adaptation to environments and that they are likely to play a role in the response to future selection.
C1 [O'Brien, Anna M.; Strauss, Sharon Y.; Ross-Ibarra, Jeffrey] Univ Calif Davis, Ctr Populat Biol, Davis, CA 95616 USA.
   [O'Brien, Anna M.; Ross-Ibarra, Jeffrey] Univ Calif Davis, Dept Plant Sci, Davis, CA 95616 USA.
   [O'Brien, Anna M.; Strauss, Sharon Y.; Ross-Ibarra, Jeffrey] Univ Calif Davis, Dept Evolut & Ecol, Davis, CA 95616 USA.
   [O'Brien, Anna M.] Univ Toronto, Dept Ecol & Evolutionary Biol, Toronto, ON M5S 3B2, Canada.
   [Sawers, Ruairidh J. H.] Inst Politecn Nacl, Ctr Invest & Estudios Avanzados CINVESTAV, Lab Nacl Genom Biodiversidad LANGEBIO, Guanajuato 36821, Mexico.
   [Ross-Ibarra, Jeffrey] Univ Calif Davis, Genome Ctr, Davis, CA 95616 USA.
C3 University of California System; University of California Davis;
   University of California System; University of California Davis;
   University of California System; University of California Davis;
   University of Toronto; Instituto Politecnico Nacional - Mexico;
   CINVESTAV - Centro de Investigacion y de Estudios Avanzados del
   Instituto Politecnico Nacional; University of California System;
   University of California Davis
RP O'Brien, AM (corresponding author), Univ Calif Davis, Ctr Populat Biol, Davis, CA 95616 USA.; O'Brien, AM (corresponding author), Univ Calif Davis, Dept Plant Sci, Davis, CA 95616 USA.; O'Brien, AM (corresponding author), Univ Calif Davis, Dept Evolut & Ecol, Davis, CA 95616 USA.; O'Brien, AM (corresponding author), Univ Toronto, Dept Ecol & Evolutionary Biol, Toronto, ON M5S 3B2, Canada.
EM anna.obrien@utoronto.ca
RI Strauss, Sharon/J-1827-2012; Ross-Ibarra, Jeffrey/D-7782-2011
OI Sawers, Ruairidh James Hay/0000-0002-8945-3078; O'Brien,
   Anna/0000-0002-8455-8620
FU UC MEXUS; UC Davis Center for Population Biology; USDA Hatch project
   [CA-D-PLS-2066-H]; NSF [IOS-0922703, DEB-0919559]; NSF GRFP grant
   [DGE-1148897]; GSR fellowship from UC Davis Department of Plant Sciences
FX The authors would like to thank JaimeGasca Pineda and Luis Eguiarte and
   the Eguiarte laboratory for help with field collections, and Aida Odette
   Avendano-Vazquez, Carlos Fabian de la Cruz, Abenamar Gordillo Hidalgo,
   Dario Alvarez, and Arturo Chavez for assistance in the greenhouse. We
   thank J. Schmitt and M. Frederickson for comments on the manuscript. The
   project was funded by UC MEXUS, and the UC Davis Center for Population
   Biology grants to AO; USDA Hatch project CA-D-PLS-2066-H and NSF grant
   IOS-0922703 to JRI. AO was supported by NSF GRFP grant DGE-1148897 and
   GSR fellowship from UC Davis Department of Plant Sciences to AO, and NSF
   grant DEB-0919559 to SYS.
CR Agrawal AF, 2009, P ROY SOC B-BIOL SCI, V276, P1183, DOI 10.1098/rspb.2008.1671
   Aguirre JD, 2014, HEREDITY, V112, P21, DOI 10.1038/hdy.2013.12
   Aguirre-Liguori JA, 2017, MOL ECOL, V26, P4226, DOI 10.1111/mec.14203
   [Anonymous], ANN REV ECOL EVOL SY
   [Anonymous], 2017, gdata: Various R Programming Tools for Data Manipulation
   Arnold SJ, 2008, EVOLUTION, V62, P2451, DOI 10.1111/j.1558-5646.2008.00472.x
   López ANA, 2011, CROP SCI, V51, P2056, DOI 10.2135/cropsci2010.09.0538
   Bais HP, 2006, ANNU REV PLANT BIOL, V57, P233, DOI 10.1146/annurev.arplant.57.032905.105159
   Bongers T, 1999, TRENDS ECOL EVOL, V14, P224, DOI 10.1016/S0169-5347(98)01583-3
   Bouffaud ML, 2014, ENVIRON MICROBIOL, V16, P2804, DOI 10.1111/1462-2920.12442
   Bradbury PJ, 2007, BIOINFORMATICS, V23, P2633, DOI 10.1093/bioinformatics/btm308
   Brodie ED, 2002, EVOLUTION, V56, P2067
   Bulgarelli D, 2012, NATURE, V488, P91, DOI 10.1038/nature11336
   Burkle LA, 2013, SCIENCE, V339, P1611, DOI 10.1126/science.1232728
   Castro HF, 2010, APPL ENVIRON MICROB, V76, P999, DOI 10.1128/AEM.02874-09
   Chamberlain SA, 2014, ECOL LETT, V17, P881, DOI 10.1111/ele.12279
   Chenoweth SF, 2010, AM NAT, V175, P186, DOI 10.1086/649594
   CLAUSEN J, 1947, AM NAT, V81, P114, DOI 10.1086/281507
   CROW J F, 1970, P591, DOI 10.1093/bioinformatics/btr330
   Decaestecker E, 2007, NATURE, V450, P870, DOI 10.1038/nature06291
   DOEBLEY JF, 1984, ANN MO BOT GARD, V71, P1100, DOI 10.2307/2399247
   Duong T., 2018, KS KERNEL SMOOTHING
   EAGLES HA, 1994, CROP SCI, V34, P11, DOI 10.2135/cropsci1994.0011183X003400010002x
   Elshire RJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019379
   Erlandson S, 2018, MOL ECOL, V27, P2007, DOI 10.1111/mec.14576
   Etterson JR, 2001, SCIENCE, V294, P151, DOI 10.1126/science.1063656
   Falconer D. S., 1996, Introduction to quantitative genetics.
   FALCONER DS, 1952, AM NAT, V86, P293, DOI 10.1086/281736
   Franks SJ, 2007, P NATL ACAD SCI USA, V104, P1278, DOI 10.1073/pnas.0608379104
   Friesen ML, 2011, ANNU REV ECOL EVOL S, V42, P23, DOI 10.1146/annurev-ecolsys-102710-145039
   GASKIN J, 2013, TECHNICAL REPORT
   Gaudin ACM, 2014, BMC GENET, V15, DOI 10.1186/1471-2156-15-23
   Glaubitz JC, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0090346
   GONZALEZ JDJ, 1998, DISTRIBUCION CARACTE
   Gosline AK, 2008, AQUAT ECOL, V42, P693, DOI 10.1007/s10452-007-9138-7
   Guillaume F, 2007, EVOLUTION, V61, P2398, DOI 10.1111/j.1558-5646.2007.00193.x
   Hadfield JD, 2010, J STAT SOFTW, V33, P1, DOI 10.18637/jss.v033.i02
   Hadfield JD, 2012, MCMCGLMM COURSE NOTE
   Hansen TF, 2008, J EVOLUTION BIOL, V21, P1201, DOI 10.1111/j.1420-9101.2008.01573.x
   Hayward J, 2015, ECOLOGY, V96, P1438, DOI 10.1890/14-1100.1
   Hijmans R.J., 2015, R Packag, V2, P3, DOI DOI 10.HTTPS://CRAN.R-PROJECT.ORG/WEB/PACKAGES/RASTER/INDEX.HTML
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hiltner L., 1904, ARB DEUT LANDW GES, V98, P59, DOI DOI 10.12691/AEES-1-6-1
   Hoegh-Guldberg O, 1999, MAR FRESHWATER RES, V50, P839, DOI 10.1071/MF99078
   Hufford MB, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003477
   Hufford MB, 2012, TRENDS GENET, V28, P606, DOI 10.1016/j.tig.2012.08.004
   Hufford MB, 2011, MOL ECOL, V20, P46, DOI 10.1111/j.1365-294X.2010.04924.x
   Hunter DJ, 2005, NAT REV GENET, V6, P287, DOI 10.1038/nrg1578
   ILTIS HH, 1980, AM J BOT, V67, P994, DOI 10.2307/2442442
   *INVAM, 2017, TECHNICAL REPORT
   Johnson NC, 2010, P NATL ACAD SCI USA, V107, P2093, DOI 10.1073/pnas.0906710107
   Karhunen M, 2014, EVOLUTION, V68, P559, DOI 10.1111/evo.12268
   Karhunen M, 2013, MOL ECOL RESOUR, V13, P746, DOI 10.1111/1755-0998.12111
   Karhunen M, 2012, GENETICS, V192, P609, DOI 10.1534/genetics.112.140871
   Kawecki TJ, 2004, ECOL LETT, V7, P1225, DOI 10.1111/j.1461-0248.2004.00684.x
   Kersey PJ, 2018, NUCLEIC ACIDS RES, V46, pD802, DOI 10.1093/nar/gkx1011
   Klironomos JN, 2002, NATURE, V417, P67, DOI 10.1038/417067a
   Kruuk LEB, 2004, PHILOS T R SOC B, V359, P873, DOI 10.1098/rstb.2003.1437
   LANDE R, 1979, EVOLUTION, V33, P234, DOI 10.1111/j.1558-5646.1979.tb04678.x
   Lankau RA, 2015, ECOLOGY, V96, P1451, DOI 10.1890/14-2419.1
   Lau JA, 2012, P NATL ACAD SCI USA, V109, P14058, DOI 10.1073/pnas.1202319109
   Lauter N, 2004, GENETICS, V167, P1949, DOI 10.1534/genetics.104.026997
   Lebeis SL, 2015, SCIENCE, V349, P860, DOI 10.1126/science.aaa8764
   Leinonen T, 2013, NAT REV GENET, V14, P179, DOI 10.1038/nrg3395
   Lloret F, 1999, FUNCT ECOL, V13, P210, DOI 10.1046/j.1365-2435.1999.00309.x
   Lynch Michael, 1998
   McGlothlin JW, 2018, EVOL LETT, V2, P310, DOI 10.1002/evl3.72
   McGuigan K, 2009, TRENDS ECOL EVOL, V24, P305, DOI 10.1016/j.tree.2009.02.001
   Millien V, 2006, ECOL LETT, V9, P853, DOI 10.1111/j.1461-0248.2006.00928.x
   Norris LC, 2015, P NATL ACAD SCI USA, V112, P815, DOI 10.1073/pnas.1418892112
   Novomestky F., 2012, MATRIXCALC COLLECTIO
   O'Brien AM, 2018, AM NAT, V192, P715, DOI 10.1086/700118
   OBRIEN AM, 2017, CONFLUENCE ABIOTIC B
   Orr HA, 2001, GENETICS, V157, P875
   Ovaskainen O, 2011, GENETICS, V189, P621, DOI 10.1534/genetics.111.129387
   Paaby AB, 2014, NAT REV GENET, V15, P247, DOI 10.1038/nrg3688
   Palomares-Rius JE, 2012, SOIL BIOL BIOCHEM, V45, P168, DOI 10.1016/j.soilbio.2011.11.009
   Panke-Buisse K, 2015, ISME J, V9, P980, DOI 10.1038/ismej.2014.196
   Pardo-Diaz C, 2012, PLOS GENET, V8, DOI 10.1371/journal.pgen.1002752
   Parsons KJ, 2011, EVOL BIOL, V38, P306, DOI 10.1007/s11692-011-9126-7
   Peiffer JA, 2013, P NATL ACAD SCI USA, V110, P6548, DOI 10.1073/pnas.1302837110
   Piperno DR, 2015, QUATERN INT, V363, P65, DOI 10.1016/j.quaint.2013.12.049
   Puentes A, 2016, EVOLUTION, V70, P2370, DOI 10.1111/evo.13034
   Purcell S, 2007, AM J HUM GENET, V81, P559, DOI 10.1086/519795
   Pyhäjärvi T, 2013, GENOME BIOL EVOL, V5, P1594, DOI 10.1093/gbe/evt109
   Ramírez SR, 2011, SCIENCE, V333, P1742, DOI 10.1126/science.1209175
   Rehfeldt GE, 2002, GLOBAL CHANGE BIOL, V8, P912, DOI 10.1046/j.1365-2486.2002.00516.x
   Richardson AE, 2009, PLANT SOIL, V321, P305, DOI 10.1007/s11104-009-9895-2
   Roff D, 2000, HEREDITY, V84, P135, DOI 10.1046/j.1365-2540.2000.00695.x
   Roff DA, 2012, J EVOLUTION BIOL, V25, P1113, DOI 10.1111/j.1420-9101.2012.02500.x
   Ross-Ibarra J, 2009, GENETICS, V181, P1397, DOI 10.1534/genetics.108.097238
   Rúa MA, 2016, BMC EVOL BIOL, V16, DOI 10.1186/s12862-016-0698-9
   Ruell E W, 2013, Proc Biol Sci, V280, P20122019, DOI 10.1098/rspb.2012.2019
   Schluter D, 1996, EVOLUTION, V50, P1766, DOI 10.1111/j.1558-5646.1996.tb03563.x
   Schmitt J, 1997, PLANT CELL ENVIRON, V20, P826, DOI 10.1046/j.1365-3040.1997.d01-96.x
   Schneider CA, 2012, NAT METHODS, V9, P671, DOI 10.1038/nmeth.2089
   Shaw RG, 2012, NEW PHYTOL, V195, P752, DOI 10.1111/j.1469-8137.2012.04230.x
   Sheth SN, 2016, AM NAT, V187, P182, DOI 10.1086/684440
   SMITH H, 1982, ANNU REV PLANT PHYS, V33, P481, DOI 10.1146/annurev.pp.33.060182.002405
   Smith S.E., 2010, Mycorrhizal symbiosis
   Song Y, 2011, CURR BIOL, V21, P1296, DOI 10.1016/j.cub.2011.06.043
   Spiegelhalter DJ, 2002, J R STAT SOC B, V64, P583, DOI 10.1111/1467-9868.00353
   Steppan SJ, 2002, TRENDS ECOL EVOL, V17, P320, DOI 10.1016/S0169-5347(02)02505-3
   Stevens M, 2007, BIOL J LINN SOC, V90, P211, DOI 10.1111/j.1095-8312.2007.00725.x
   Stokes Amber N., 2015, Northwestern Naturalist, V96, P13
   Swarts K, 2017, SCIENCE, V357, P512, DOI 10.1126/science.aam9425
   Szoboszlay M, 2015, SOIL BIOL BIOCHEM, V80, P34, DOI 10.1016/j.soilbio.2014.09.001
   Team RC, 2014, R: A Language and Environment for Statistical Computing
   Toju H, 2008, EVOLUTION, V62, P1086, DOI 10.1111/j.1558-5646.2008.00341.x
   Toju H, 2011, AM NAT, V177, P562, DOI 10.1086/659624
   TOLLRIAN R, 1995, ECOLOGY, V76, P1691, DOI 10.2307/1940703
   Van Nuland ME, 2017, NAT ECOL EVOL, V1, DOI 10.1038/s41559-017-0150
   Wagner MR, 2014, ECOL LETT, V17, P717, DOI 10.1111/ele.12276
   Walter GM, 2018, AM NAT, V191, pE108, DOI 10.1086/696123
   Walters WA, 2018, P NATL ACAD SCI USA, V115, P7368, DOI 10.1073/pnas.1800918115
   WESTEBERHARD MJ, 1989, ANNU REV ECOL SYST, V20, P249, DOI 10.1146/annurev.es.20.110189.001341
   Whitney KD, 2006, AM NAT, V167, P794, DOI 10.1086/504606
   Whitney KD, 2010, NEW PHYTOL, V187, P230, DOI 10.1111/j.1469-8137.2010.03234.x
   Wilczek AM, 2014, P NATL ACAD SCI USA, V111, P7906, DOI 10.1073/pnas.1406314111
   Willis CG, 2008, P NATL ACAD SCI USA, V105, P17029, DOI 10.1073/pnas.0806446105
   Wilson AJ, 2010, J ANIM ECOL, V79, P13, DOI 10.1111/j.1365-2656.2009.01639.x
   Wood CW, 2016, ECOL LETT, V19, P1189, DOI 10.1111/ele.12662
   Wood CW, 2015, EVOLUTION, V69, P2927, DOI 10.1111/evo.12795
   *WORLD AGR OUTL BO, 2010, MEX SUMM CORN PROD
   Yang CJ, 2019, P NATL ACAD SCI USA, V116, P5643, DOI 10.1073/pnas.1820997116
   Zhu XC, 2010, PLANT SOIL, V331, P129, DOI 10.1007/s11104-009-0239-z
NR 126
TC 15
Z9 17
U1 1
U2 26
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 0014-3820
EI 1558-5646
J9 EVOLUTION
JI Evolution
PD NOV
PY 2019
VL 73
IS 11
BP 2230
EP 2246
DI 10.1111/evo.13818
EA AUG 2019
PG 17
WC Ecology; Evolutionary Biology; Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Evolutionary Biology; Genetics &
   Heredity
GA JK1TM
UT WOS:000483511600001
PM 31389004
OA Green Submitted, Bronze
DA 2025-01-10
ER

PT J
AU van Boheemen, LA
   Atwater, DZ
   Hodgins, KA
AF van Boheemen, Lotte A.
   Atwater, Daniel Z.
   Hodgins, Kathryn A.
TI Rapid and repeated local adaptation to climate in an invasive plant
SO NEW PHYTOLOGIST
LA English
DT Article
DE climate adaptation; climate niche dynamics; heterozygosity-fitness
   correlations; invasion; latitudinal clines; local adaptation; trait
   evolution
ID AMBROSIA-ARTEMISIIFOLIA POPULATIONS; INCREASED COMPETITIVE ABILITY;
   ADAPTIVE EVOLUTION; COMMON RAGWEED; GENETIC DIFFERENTIATION;
   CONTEMPORARY EVOLUTION; RANGE EXPANSION; SEX ALLOCATION; ENEMY RELEASE;
   HISTORY
AB Biological invasions provide opportunities to study evolutionary processes occurring over contemporary timescales. To explore the speed and repeatability of adaptation, we examined the divergence of life-history traits to climate, using latitude as a proxy, in the native North American and introduced European and Australian ranges of the annual plant Ambrosia artemisiifolia. We explored niche changes following introductions using climate niche dynamic models. In a common garden, we examined trait divergence by growing seeds collected across three ranges with highly distinct demographic histories. Heterozygosity-fitness associations were used to explore the effect of invasion history on potential success. We accounted for nonadaptive population differentiation using 11 598 single nucleotide polymorphisms. We revealed a centroid shift to warmer, wetter climates in the introduced ranges. We identified repeated latitudinal divergence in life-history traits, with European and Australian populations positioned at either end of the native clines. Our data indicate rapid and repeated adaptation to local climates despite the recent introductions and a bottleneck limiting genetic variation in Australia. Centroid shifts in the introduced ranges suggest adaptation to more productive environments, potentially contributing to trait divergence between the ranges.
C1 [van Boheemen, Lotte A.; Hodgins, Kathryn A.] Monash Univ, Sch Biol Sci, Clayton, Vic 3800, Australia.
   [Atwater, Daniel Z.] Earlham Coll, Dept Biol, Richmond, IN 47374 USA.
C3 Monash University; Earlham College
RP van Boheemen, LA (corresponding author), Monash Univ, Sch Biol Sci, Clayton, Vic 3800, Australia.
EM la.vanboheemen@gmail.com
RI ; van Boheemen, Lotte Anna/C-5382-2017
OI Hodgins, Kathryn/0000-0003-2795-5213; van Boheemen, Lotte
   Anna/0000-0001-9199-7704
FU Monash University
FX We would like to J. Vamosi and three anonymous reviewers for their
   invaluable comments. We thank J. Stephens and A. Wetherhill for sample
   collection, S. Bou-Assi, M. Kourtidou, J. Taylor, G. Boinnard, T.
   Freeman and E. Barnett for glasshouse assistance, S. Bou-Assi and K.
   Nurkowski for genomic analyses, Ian MacLachlan for scripts to calculate
   growth curves and T. Connallon for manuscript suggestions. A Monash
   University Dean's International Postgraduate Research Scholarship was
   provided to LAB, a Monash University Start-up Grant to KAH.
CR Agrawal AA, 2015, AM NAT, V186, pE1, DOI 10.1086/681622
   Allendorf FW, 2003, CONSERV BIOL, V17, P24, DOI 10.1046/j.1523-1739.2003.02365.x
   [Anonymous], AM NATURALIST
   [Anonymous], BIORXIV
   [Anonymous], 2009, NEW PHYTOL, DOI DOI 10.1111/j.1469-8137.2009.02830.x
   Atwater DZ, 2018, NAT ECOL EVOL, V2, P34, DOI 10.1038/s41559-017-0396-z
   Augspurger CK, 2017, FUNCT ECOL, V31, P808, DOI 10.1111/1365-2435.12791
   Barrett SCH, 2013, J EXP BOT, V64, P67, DOI 10.1093/jxb/ers308
   Bartle K, 2013, AUSTRAL ECOL, V38, P915, DOI 10.1111/aec.12032
   BLOSSEY B, 1995, J ECOL, V83, P887, DOI 10.2307/2261425
   Blumenthal DM, 2006, ECOL LETT, V9, P887, DOI 10.1111/j.1461-0248.2006.00934.x
   Bock DG, 2015, MOL ECOL, V24, P2277, DOI 10.1111/mec.13032
   Bonhomme M, 2010, GENETICS, V186, P241, DOI 10.1534/genetics.104.117275
   Bossdorf O, 2005, OECOLOGIA, V144, P1, DOI 10.1007/s00442-005-0070-z
   Bradshaw WE, 2008, MOL ECOL, V17, P157, DOI 10.1111/j.1365-294X.2007.03509.x
   BURD M, 1988, EVOLUTION, V42, P403, DOI 10.1111/j.1558-5646.1988.tb04145.x
   Chapman DS, 2014, GLOBAL CHANGE BIOL, V20, P192, DOI 10.1111/gcb.12380
   CHARNOV E L, 1982
   Chauvel B, 2006, J BIOGEOGR, V33, P665, DOI 10.1111/j.1365-2699.2005.01401.x
   Chown SL, 2015, EVOL APPL, V8, P23, DOI 10.1111/eva.12234
   Chuine I, 2001, CAN J FOREST RES, V31, P1444, DOI 10.1139/cjfr-31-8-1444
   Chun YJ, 2011, MOL ECOL, V20, P1378, DOI 10.1111/j.1365-294X.2011.05013.x
   Chun YJ, 2010, NEW PHYTOL, V185, P1100, DOI 10.1111/j.1469-8137.2009.03129.x
   Colautti RI, 2015, MOL ECOL, V24, P1999, DOI 10.1111/mec.13162
   Colautti RI, 2013, SCIENCE, V342, P364, DOI 10.1126/science.1242121
   Colautti RI, 2010, P ROY SOC B-BIOL SCI, V277, P1799, DOI 10.1098/rspb.2009.2231
   Colautti RI, 2009, EVOL APPL, V2, P187, DOI 10.1111/j.1752-4571.2008.00053.x
   Colomer-Ventura F, 2015, FUNCT ECOL, V29, P1475, DOI 10.1111/1365-2435.12463
   Conte GL, 2017, BMC GENOMICS, V18, DOI 10.1186/s12864-017-4344-8
   Cristescu ME, 2015, MOL ECOL, V24, P2212, DOI 10.1111/mec.13117
   De Frenne P, 2013, J ECOL, V101, P784, DOI 10.1111/1365-2745.12074
   De Rosario-Martinez Helios, 2015, PACKAGEPHIA
   de Villemereuil P, 2016, HEREDITY, V116, P249, DOI 10.1038/hdy.2015.93
   DEJONG TJ, 1994, J ECOL, V82, P399, DOI 10.2307/2261307
   DEJONG TJ, 1989, FUNCT ECOL, V3, P201, DOI 10.2307/2389301
   Dlugosch KM, 2008, MOL ECOL, V17, P431, DOI 10.1111/j.1365-294X.2007.03538.x
   Dlugosch KM, 2008, ECOL LETT, V11, P701, DOI 10.1111/j.1461-0248.2008.01181.x
   Dlugosch KM, 2015, NAT PLANTS, V1, DOI [10.1038/nplants.2015.66, 10.1038/NPLANTS.2015.66]
   Dlugosch KM, 2015, MOL ECOL, V24, P2095, DOI 10.1111/mec.13183
   Essl F, 2015, J ECOL, V103, P1069, DOI 10.1111/1365-2745.12424
   Estoup A, 2004, EVOLUTION, V58, P2021, DOI 10.1111/j.0014-3820.2004.tb00487.x
   Estoup A, 2016, ANNU REV ECOL EVOL S, V47, P51, DOI 10.1146/annurev-ecolsys-121415-032116
   Etterson JR, 2001, SCIENCE, V294, P151, DOI 10.1126/science.1063656
   Excoffier L, 2008, TRENDS ECOL EVOL, V23, P347, DOI 10.1016/j.tree.2008.04.004
   Facon B, 2006, TRENDS ECOL EVOL, V21, P130, DOI 10.1016/j.tree.2005.10.012
   Felker-Quinn E, 2013, ECOL EVOL, V3, P739, DOI 10.1002/ece3.488
   Franks SJ, 2007, P NATL ACAD SCI USA, V104, P1278, DOI 10.1073/pnas.0608379104
   Friedman J, 2011, EVOLUTION, V65, P2061, DOI 10.1111/j.1558-5646.2011.01284.x
   Friedman J, 2009, ANN BOT-LONDON, V103, P1515, DOI 10.1093/aob/mcp035
   Gaudeul M, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0017658
   Geng YP, 2007, BIOL INVASIONS, V9, P245, DOI 10.1007/s10530-006-9029-1
   Genton BJ, 2005, OECOLOGIA, V146, P404, DOI 10.1007/s00442-005-0234-x
   Gladieux P, 2011, BIOL INVASIONS, V13, P933, DOI 10.1007/s10530-010-9880-y
   GRIME JP, 1977, AM NAT, V111, P1169, DOI 10.1086/283244
   Guisan A, 2014, TRENDS ECOL EVOL, V29, P260, DOI 10.1016/j.tree.2014.02.009
   Guo H, 2010, AM J BOT, V97, P1334, DOI 10.3732/ajb.0900301
   Hahn MA, 2017, EVOL APPL, V10, P241, DOI 10.1111/eva.12445
   He WM, 2010, BIOL INVASIONS, V12, P3591, DOI 10.1007/s10530-010-9753-4
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hodgins KA, 2011, J EVOLUTION BIOL, V24, P2731, DOI 10.1111/j.1420-9101.2011.02404.x
   Hodgins KA, 2018, ANN PLANT REV ONLINE, V1, P459, DOI 10.1002/9781119312994.apr0643
   Huang FF, 2015, OIKOS, V124, P1023, DOI 10.1111/oik.01820
   Huey RB, 2000, SCIENCE, V287, P308, DOI 10.1126/science.287.5451.308
   Keller SR, 2009, NEW PHYTOL, V183, P678, DOI 10.1111/j.1469-8137.2009.02892.x
   Keppel, 1991, DESIGN ANAL RES HDB
   Klinkhamer PGL, 1997, TRENDS ECOL EVOL, V12, P260, DOI 10.1016/S0169-5347(97)01078-1
   Korpelainen H, 1998, BIOL REV, V73, P157, DOI 10.1017/S0006323197005148
   Laaidi M, 2003, ANN ALLERG ASTHMA IM, V91, P195, DOI 10.1016/S1081-1206(10)62177-1
   Lachmuth S, 2011, NEW PHYTOL, V192, P529, DOI 10.1111/j.1469-8137.2011.03808.x
   Lee CE, 2002, TRENDS ECOL EVOL, V17, P386, DOI 10.1016/S0169-5347(02)02554-5
   Leiblein-Wild MC, 2014, BIOL INVASIONS, V16, P2003, DOI 10.1007/s10530-014-0644-y
   Li H, 2009, BIOINFORMATICS, V25, P1754, DOI 10.1093/bioinformatics/btp324
   Li XM, 2015, OECOLOGIA, V177, P669, DOI 10.1007/s00442-014-3127-z
   LLOYD DG, 1984, EVOL BIOL, V17, P255
   Lloyd DG., 1984, PERSPECTIVES PLANT P, P277
   Maron JL, 2004, ECOL MONOGR, V74, P261, DOI 10.1890/03-4027
   Maron JL, 2007, EVOLUTION, V61, P1912, DOI 10.1111/j.1558-5646.2007.00153.x
   McKenna A, 2010, GENOME RES, V20, P1297, DOI 10.1101/gr.107524.110
   Miller GA, 2001, J ABNORM PSYCHOL, V110, P40, DOI 10.1037//0021-843X.110.1.40
   Moles AT, 2011, NEW PHYTOL, V191, P777, DOI 10.1111/j.1469-8137.2011.03732.x
   Moran EV, 2014, ECOL LETT, V17, P637, DOI 10.1111/ele.12262
   Nakazato T, 2008, EVOLUTION, V62, P774, DOI 10.1111/j.1558-5646.2008.00332.x
   Oduor AMO, 2016, J ECOL, V104, P957, DOI 10.1111/1365-2745.12578
   Ordoñez JC, 2009, GLOBAL ECOL BIOGEOGR, V18, P137, DOI 10.1111/j.1466-8238.2008.00441.x
   Palmer B, 2012, BIOLOGICAL CONTROL OF WEEDS IN AUSTRALIA, P52
   Paquin V, 2004, AM J BOT, V91, P430, DOI 10.3732/ajb.91.3.430
   Peischl S, 2013, MOL ECOL, V22, P5972, DOI 10.1111/mec.12524
   Peischl S, 2015, MOL ECOL, V24, P2084, DOI 10.1111/mec.13154
   Phillips BL, 2006, NATURE, V439, P803, DOI 10.1038/439803a
   Prentis PJ, 2008, TRENDS PLANT SCI, V13, P288, DOI 10.1016/j.tplants.2008.03.004
   Pritchard JK, 2000, GENETICS, V155, P945
   R Core Team, 2017, R LANG ENV STAT COMP
   Rius M, 2014, TRENDS ECOL EVOL, V29, P233, DOI 10.1016/j.tree.2014.02.003
   Sakai A, 2003, J THEOR BIOL, V222, P283, DOI 10.1016/S0022-5193(03)00024-9
   Savolainen O, 2013, NAT REV GENET, V14, P807, DOI 10.1038/nrg3522
   Sax DF, 2000, GLOBAL ECOL BIOGEOGR, V9, P363, DOI 10.1046/j.1365-2699.2000.00217.x
   Scalone R, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0166510
   Scheiner SM., 2001, DESIGN ANAL ECOLOGIC, VSecond
   SCHOENER TW, 1968, ECOLOGY, V49, P704, DOI 10.2307/1935534
   Smith M, 2013, ENVIRON INT, V61, P115, DOI 10.1016/j.envint.2013.08.005
   Van der Auwera Geraldine A, 2013, Curr Protoc Bioinformatics, V43, DOI [10.1002/0471250953.bi1201s43, 10.1002/0471250953.bi1110s43]
   Sun Y, 2017, ECOSPHERE, V8, DOI 10.1002/ecs2.1731
   Tamme R, 2014, ECOLOGY, V95, P505, DOI 10.1890/13-1000.1
   Taramarcaz P, 2005, SWISS MED WKLY, V135, P538
   Thomson FJ, 2011, J ECOL, V99, P1299, DOI 10.1111/j.1365-2745.2011.01867.x
   Turner KG, 2014, NEW PHYTOL, V202, P309, DOI 10.1111/nph.12634
   van Boheemen LA, 2017, MOL ECOL, V26, P5421, DOI 10.1111/mec.14293
   WILLEMSEN RW, 1975, AM J BOT, V62, P639, DOI 10.2307/2441944
   Zhang D.-Y., 2006, Ecology and evolution of flowers, P41
   Zhang YY, 2010, MOL ECOL, V19, P1774, DOI 10.1111/j.1365-294X.2010.04609.x
   Ziska L, 2011, P NATL ACAD SCI USA, V108, P4248, DOI 10.1073/pnas.1014107108
NR 111
TC 112
Z9 118
U1 32
U2 292
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0028-646X
EI 1469-8137
J9 NEW PHYTOL
JI New Phytol.
PD APR
PY 2019
VL 222
IS 1
BP 614
EP 627
DI 10.1111/nph.15564
PG 14
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA HN1DX
UT WOS:000459928400051
PM 30367474
OA Green Submitted
HC Y
HP N
DA 2025-01-10
ER

PT C
AU Mahmoudabadi, V
   Ravichandran, N
AF Mahmoudabadi, Vahidreza
   Ravichandran, Nadarajah
BE Elmohtar, C
   Kulesza, S
   Baser, T
   Venezia, MD
TI Robust Climate-Adaptive Shallow Foundation Design Optimization Subjected
   to Hydrological Loads
SO IFCEE 2021: FROM TRADITIONAL TO EMERGING GEOTECHNICS
SE Geotechnical Special Publication
LA English
DT Proceedings Paper
CT International Foundations Congress and Equipment Expo (IFCEE)
CY MAY 05-10, 2021
CL Dallas, TX
SP Int Assoc Fdn Drilling, Deep Fdn Inst, Pile Driving Contractors Assoc, Amer Soc Civil Engineers, Amer Soc Civil Engineers, Geo Inst
DE Robust optimization; Shallow foundation; Hydrological load;
   Climate-adaptive design
AB The response of a shallow foundation is significantly influenced by the uncertainties associated with not only the geotechnical parameters but also the hydrological parameters that include rainfall intensity and duration, drought intensity and duration, and groundwater depth. These hydrological parameters alter the strength and deformation properties of the subsurface soil resulting in variation in foundation performance. This paper presents a mathematical framework to optimize the performance of shallow foundation subjected to site-specific hydrological loads with respect to the uncertainties associated with site-specific geotechnical and hydrological parameters. In the proposed framework, the shallow foundation design is performed based on partially saturated soil mechanics principles, and the optimization is performed using a multiobjective optimization algorithm called nondominated sorting genetic algorithm (NSGA-II). The results of this study show that the proposed method can improve not only the performance of the foundation but also reduce the total construction cost.
C1 [Mahmoudabadi, Vahidreza] MC Squared Inc, Geotech Engineer, Kennesaw, GA 30144 USA.
   [Ravichandran, Nadarajah] Clemson Univ, Glenn Dept Civil Engn, Clemson, SC USA.
C3 Clemson University
RP Mahmoudabadi, V (corresponding author), MC Squared Inc, Geotech Engineer, Kennesaw, GA 30144 USA.
EM vmahmoudabadi@mc2engineers.com; nravic@clemson.edu
RI Mahmoudabadi, Vahidreza/K-8781-2019
CR Al-Bittar T., 2012, THESIS U NANTES FRAN
   Bowles J. E., 1987, J GEOTECHNICAL ENG
   Briaud J.L., 2013, Geotechnical engineering: Unsaturated and saturated soils
   Converse Consultants, 2016, REV GEOT INV REP
   Hamon WR., 1961, J HYDRAUL DIV, V87, P107, DOI [10.1061/JYCEAJ.0000599, DOI 10.1061/JYCEAJ.0000599]
   Juang CH, 2013, COMPUT GEOTECH, V48, P96, DOI 10.1016/j.compgeo.2012.10.003
   Lu N, 2004, Unsaturated soil mechanics
   Mahmoudabadi Vahidreza, 2019, GEO-CONGRESS 2019 Geotechnical Materials, Modeling, and Testing. Selected Papers from Sessions of the Eighth International Conference on Case Histories in Geotechnical Engineering, P711
   Mahmoudabadi V, 2020, ENG GEOL, V264, DOI 10.1016/j.enggeo.2019.105317
   Mahmoudabadi V, 2019, INT J GEOMECH, V19, DOI 10.1061/(ASCE)GM.1943-5622.0001432
   Oh WT, 2009, CAN GEOTECH J, V46, P903, DOI 10.1139/T09-030
   Orense R.P., 2004, PHILIPPINE ENG J, V25
   Rahardjo M.Dawam., 2012, Ekonomi Politik Pembangunan [The political economy of development], DOI DOI 10.1139/T02-049
   Ravichandran N., 2017, International Journal of Geosciences, V8, P1231, DOI 10.4236/ijg.2017.810071
   Richards LA, 1931, PHYSICS-J GEN APPL P, V1, P318, DOI 10.1063/1.1745010
   Steensen-Bach J.O., 1987, P 9 EUROPEAN C SOIL, P83
   Vanapalli S. K., 2013, Poromechanics V. Proceedings of the Fifth Biot Conference on Poromechanics, P1695
   VANGENUCHTEN MT, 1980, SOIL SCI SOC AM J, V44, P892, DOI 10.2136/sssaj1980.03615995004400050002x
   Vardon PJ, 2015, ENVIRON GEOTECH, V2, P166, DOI 10.1680/envgeo.13.00055
   Zhang F., 2010, SOIL WATER RETENTION
NR 20
TC 0
Z9 0
U1 0
U2 1
PU AMER SOC CIVIL ENGINEERS
PI NEW YORK
PA UNITED ENGINEERING CENTER, 345 E 47TH ST, NEW YORK, NY 10017-2398 USA
SN 0895-0563
BN 978-0-7844-8342-8
J9 GEOTECH SP
PY 2021
IS 325
BP 372
EP 383
PG 12
WC Engineering, Civil; Engineering, Geological
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Engineering
GA BS2AR
UT WOS:000698605300038
DA 2025-01-10
ER

PT J
AU Taylor, BM
   Harman, B
AF Taylor, Bruce M.
   Harman, Ben P.
TI Governing urban development for climate risk: What role for
   public-private partnerships?
SO ENVIRONMENT AND PLANNING C-GOVERNMENT AND POLICY
LA English
DT Article
DE Governance; greenfield development; climate adaptation; master planned
   estates; public-private partnerships
ID BUSINESS IMPROVEMENT DISTRICTS; CHANGE ADAPTATION; MULTILEVEL
   GOVERNANCE; REGENERATION; PERFORMANCE; MANAGEMENT; REDEVELOPMENT;
   DISTINCTION; CHALLENGES; GOVERNMENT
AB Urban partnerships are an instrument of urban governance common in major urban development projects. However, the potential for these traditional urban policy instruments to promote climate-adapted greenfield development remains largely untested. This study examines this potential through an analysis of four urban development partnerships for master-planned estates in two rapidly urbanising regions of Australia. We interview private property developers, government land organisations and municipal level actors. The analysis focuses on the convergence, and tensions, between partners' goals of affordability, profitability and sustainability; benefits and risks of partnering; and, the management of assets over time, in light of environmental risks. The partnerships studied contributed to the state's capacity to implement policy efficiently, encourage innovation and de-risk projects for private partners. However, these initiatives also transferred longer term environmental risks to the broader planning system and to non-partners. The central role of the state in coordinating these arrangements presents opportunities to redress these limitations.
C1 [Taylor, Bruce M.; Harman, Ben P.] Commonwealth Sci & Ind Res Org CSIRO Land & Water, Brisbane, Qld, Australia.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO)
RP Taylor, BM (corresponding author), Commonwealth Sci & Ind Res Org CSIRO Land & Water, Brisbane, Qld, Australia.
EM bruce.taylor@csiro.au
RI Taylor, Bruce/C-5771-2011
OI Taylor, Bruce/0000-0002-7740-2898
FU CSIRO Climate Adaptation Flagship
FX The research was funded by the CSIRO Climate Adaptation Flagship.
   Economic Development Queensland (EDQ) and the Land Development Agency
   (LDA) provided valuable in kind support for the research.
CR Alexander R, 2012, PUBLIC PERFORM MANAG, V35, P753, DOI 10.2753/PMR1530-9576350409
   [Anonymous], 2005, CITIES CLIMATE CHANG, DOI DOI 10.4324/9780203219256
   Ball M, 2005, HOUSING STUD, V20, P9, DOI 10.1080/0267303042000308705
   Bauer A, 2014, GEOFORUM, V51, P121, DOI 10.1016/j.geoforum.2013.10.006
   Broto VC, 2013, GLOBAL ENVIRON CHANG, V23, P92, DOI 10.1016/j.gloenvcha.2012.07.005
   Brownill S, 2003, URBAN STUD, V40, P646
   Bulkeley H, 2014, URBAN STUD, V51, P1471, DOI 10.1177/0042098013500089
   Bulkeley H, 2012, ENVIRON PLANN C, V30, P556, DOI 10.1068/c3004ed
   Bulkeley H, 2012, ENVIRON PLANN C, V30, P591, DOI 10.1068/c11126
   Bulkeley H, 2010, WIRES CLIM CHANGE, V1, P311, DOI 10.1002/wcc.1
   Carley M., 2000, INT PLAN STUD, V5, P273, DOI DOI 10.1080/713672858
   Chen J, 2013, J CONTING CRISIS MAN, V21, P130, DOI 10.1111/1468-5973.12021
   Choy DL, 2008, URBAN POLICY RES, V26, P111, DOI 10.1080/08111140701697628
   Codecasa G, 2011, EUR PLAN STUD, V19, P647, DOI 10.1080/09654313.2011.548471
   Cook IR, 2009, GEOFORUM, V40, P930, DOI 10.1016/j.geoforum.2009.07.003
   Corfee-Morlot J, 2011, CLIMATIC CHANGE, V104, P169, DOI 10.1007/s10584-010-9980-9
   Davies JS, 2011, CHALLENGING GOVERNANCE THEORY: FROM NETWORKS TO HEGEMONY, P1, DOI 10.1332/policypress/9781847426154.001.0001
   Davies JS, 2003, J URBAN AFF, V25, P253, DOI 10.1111/1467-9906.00164
   Davies JS, 2002, PUBLIC ADMIN, V80, P301, DOI 10.1111/1467-9299.00305
   De Magalhaes C, 2014, ENVIRON PLANN C, V32, P916, DOI 10.1068/c12263b
   Dowling R, 2010, URBAN POLICY RES, V28, P391, DOI 10.1080/08111146.2010.508870
   Fünfgeld H, 2015, CURR OPIN ENV SUST, V12, P67, DOI 10.1016/j.cosust.2014.10.011
   Fünfgeld H, 2010, CURR OPIN ENV SUST, V2, P156, DOI 10.1016/j.cosust.2010.07.001
   Harman BP, 2015, CURR OPIN ENV SUST, V12, P74, DOI 10.1016/j.cosust.2014.11.001
   Haughton G, 2012, INT J URBAN REGIONAL, V36, P90, DOI 10.1111/j.1468-2427.2011.01019.x
   Hayllar MR, 2010, AUST J PUBL ADMIN, V69, pS1, DOI 10.1111/j.1467-8500.2009.00657.x
   Hennessy K., 2007, CLIMATE CHANGE 2007
   Hodge G, 2010, AUST J PUBL ADMIN, V69, pS8, DOI 10.1111/j.1467-8500.2009.00659.x
   Hodge GA, 2007, PUBLIC ADMIN REV, V67, P545, DOI 10.1111/j.1540-6210.2007.00736.x
   Houghton J, 2013, URBAN STUD, V50, P2791, DOI 10.1177/0042098013477696
   Johnston J, 2010, AUST J PUBL ADMIN, V69, pS61, DOI 10.1111/j.1467-8500.2009.00660.x
   Jonas AEG, 2009, LOCAL GOV STUD, V35, P299, DOI 10.1080/03003930902854248
   Kern K, 2009, JCMS-J COMMON MARK S, V47, P309, DOI 10.1111/j.1468-5965.2009.00806.x
   Klijn EH, 2005, CHALLENGE OF PUBLIC-PRIVATE PARTNERSHIPS: LEARNING FROM INTERNATIONAL EXPERIENCE, P95
   Koppenjan JFM, 2015, CURR OPIN ENV SUST, V12, P30, DOI 10.1016/j.cosust.2014.08.010
   Koppenjan JFM, 2009, PUBLIC ADMIN REV, V69, P284, DOI 10.1111/j.1540-6210.2008.01974.x
   Kort M, 2013, LOCAL GOV STUD, V39, P89, DOI 10.1080/03003930.2012.683864
   Layder D., 1998, SOCIOLOGICAL PRACTIC
   Leck H, 2013, URBAN STUD, V50, P1221, DOI 10.1177/0042098012461675
   Lemos MC, 2006, ANNU REV ENV RESOUR, V31, P297, DOI 10.1146/annurev.energy.31.042605.135621
   Lövbrand E, 2012, ENVIRON PLANN C, V30, P658, DOI 10.1068/c11137
   Low N, 2008, URBAN POLICY RES, V26, P141, DOI 10.1080/08111140802054299
   MacLeod G, 2011, URBAN STUD, V48, P2629, DOI 10.1177/0042098011415715
   Mason M, 2007, ENVIRON PLANN A, V39, P2366, DOI 10.1068/a38263
   McGuirk P, 2014, URBAN STUD, V51, P2717, DOI 10.1177/0042098014533732
   McGuirk P, 2009, ASIA PAC VIEWP, V50, P120, DOI 10.1111/j.1467-8373.2009.01388.x
   Pattberg P, 2012, ENVIRON PLANN C, V30, P613, DOI 10.1068/c1179
   Pierre J, 1999, URBAN AFF REV, V34, P372, DOI 10.1177/10780879922183988
   Pierre Jon., 2011, POLITICS URBAN GOVER
   Ruming KJ, 2009, URBAN POLICY RES, V27, P25, DOI 10.1080/08111140802430994
   Sagalyn LB, 2007, J AM PLANN ASSOC, V73, P7, DOI 10.1080/01944360708976133
   Sager T, 2011, PROG PLANN, V76, P147, DOI 10.1016/j.progress.2011.09.001
   Schroeder H, 2013, ENVIRON PLANN C, V31, P761, DOI 10.1068/c3105ed
   Serrao-Neumann S, 2014, REG ENVIRON CHANGE, V14, P489, DOI 10.1007/s10113-013-0442-6
   Steffen W, 2014, AUSTR PLANNER, V51, P1
   Stone CN, 2005, URBAN AFF REV, V40, P309, DOI 10.1177/1078087404270646
   STONE CN, 1993, J URBAN AFF, V15, P1, DOI 10.1111/j.1467-9906.1993.tb00300.x
   Taylor B, 2014, URBAN STUD, V51, P3, DOI 10.1177/0042098013484529
   Taylor BM, 2012, URBAN POLICY RES, V30, P5, DOI 10.1080/08111146.2011.639178
   van den Nouwelant R., 2014, AUSTR PLANNER, P1
   Van Ham H., 2001, PUBLIC MANAG REV, V3, P593
NR 61
TC 19
Z9 21
U1 1
U2 51
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0263-774X
EI 1472-3425
J9 ENVIRON PLANN C
JI Environ. Plan. C-Gov. Policy
PD AUG
PY 2016
VL 34
IS 5
BP 927
EP 944
DI 10.1177/0263774X15614692
PG 18
WC Environmental Studies; Public Administration
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public Administration
GA DV8RE
UT WOS:000383203400009
DA 2025-01-10
ER

PT J
AU Gaget, E
   Johnston, A
   Pavón-Jordán, D
   Lehikoinen, AS
   Sandercock, BK
   Soultan, A
   Bozic, L
   Clausen, P
   Devos, K
   Domsa, C
   Encarnaçao, V
   Faragó, S
   Fitzgerald, N
   Frost, T
   Gaudard, C
   Gosztonyi, L
   Haas, F
   Hornman, M
   Langendoen, T
   Ieronymidou, C
   Luigujoe, L
   Meissner, W
   Mikuska, T
   Molina, B
   Musilova, Z
   Paquet, JY
   Petkov, N
   Portolou, D
   Ridzon, J
   Sniauksta, L
   Stipniece, A
   Teufelbauer, N
   Wahl, J
   Zenatello, M
   Brommer, JE
AF Gaget, Elie
   Johnston, Alison
   Pavon-Jordan, Diego
   Lehikoinen, Aleksi S.
   Sandercock, Brett K.
   Soultan, Alaaeldin
   Bozic, Luka
   Clausen, Preben
   Devos, Koen
   Domsa, Cristi
   Encarnacao, Vitor
   Farago, Sandor
   Fitzgerald, Niamh
   Frost, Teresa
   Gaudard, Clemence
   Gosztonyi, Livia
   Haas, Fredrik
   Hornman, Menno
   Langendoen, Tom
   Ieronymidou, Christina
   Luigujoe, Leho
   Meissner, Wlodzimierz
   Mikuska, Tibor
   Molina, Blas
   Musilova, Zuzana
   Paquet, Jean-Yves
   Petkov, Nicky
   Portolou, Danae
   Ridzon, Jozef
   Sniauksta, Laimonas
   Stipniece, Antra
   Teufelbauer, Norbert
   Wahl, Johannes
   Zenatello, Marco
   Brommer, Jon E.
TI Protected area characteristics that help waterbirds respond to climate
   warming
SO CONSERVATION BIOLOGY
LA English
DT Article
DE climate adaptation; colonization; conservation policy; distribution
   change; EU Birds Directive; LIFE program; wetland; adaptacion climatica;
   cambios en la distribucion; colonizacion; Directiva de Aves de la UE;
   humedal; politicas de conservacion; programa LIFE
ID CHANGE ADAPTATION; CONSERVATION; BIRDS; BIODIVERSITY; MANAGEMENT;
   ASSEMBLAGES; ABUNDANCE; IMPACTS; NEEDS
AB Protected area networks help species respond to climate warming. However, the contribution of a site's environmental and conservation-relevant characteristics to these responses is not well understood. We investigated how composition of nonbreeding waterbird communities (97 species) in the European Union Natura 2000 (N2K) network (3018 sites) changed in response to increases in temperature over 25 years in 26 European countries. We measured community reshuffling based on abundance time series collected under the International Waterbird Census relative to N2K sites' conservation targets, funding, designation period, and management plan status. Waterbird community composition in sites explicitly designated to protect them and with management plans changed more quickly in response to climate warming than in other N2K sites. Temporal community changes were not affected by the designation period despite greater exposure to temperature increase inside late-designated N2K sites. Sites funded under the LIFE program had lower climate-driven community changes than sites that did not received LIFE funding. Our findings imply that efficient conservation policy that helps waterbird communities respond to climate warming is associated with sites specifically managed for waterbirds.
C1 [Gaget, Elie; Brommer, Jon E.] Univ Turku, Dept Biol, Univ Hill, Turku 20014, Finland.
   [Gaget, Elie] Int Inst Appl Syst Anal IIASA, Laxenburg, Austria.
   [Johnston, Alison] Cornell Univ, Cornell Lab Ornithol, Ithaca, NY USA.
   [Pavon-Jordan, Diego; Sandercock, Brett K.] Norwegian Inst Nat Res NINA, Dept Terr Ecol, Trondheim, Norway.
   [Lehikoinen, Aleksi S.] Univ Helsinki, Finnish Museum Nat Hist, Helsinki, Finland.
   [Soultan, Alaaeldin] Swedish Univ Agr Sci, Dept Ecol, Uppsala, Sweden.
   [Bozic, Luka] DOPPS BirdLife Slovenia, Ljubljana, Slovenia.
   [Clausen, Preben] Aarhus Univ, Dept Biosci, Ronde, Denmark.
   [Devos, Koen] Res Inst Nat & Forest, Brussels, Belgium.
   [Domsa, Cristi] Romanian Ornithol Soc, Bucharest, Romania.
   [Encarnacao, Vitor] Ctr Estudos Migracoes & Protecao Aves CEMPA, IP ICNF, Inst Conservacao Nat & Florestas, Lisbon, Portugal.
   [Farago, Sandor; Gosztonyi, Livia] Univ Sopron, Inst Wildlife Management & Vertebrate Zool, Sopron, Hungary.
   [Fitzgerald, Niamh] BirdWatch Ireland, I WeBS Off, Wicklow, Ireland.
   [Frost, Teresa] British Trust Ornithol, Thetford, England.
   [Gaudard, Clemence] Fonderies Royales, LPO BirdLife France, Rochefort, France.
   [Haas, Fredrik] Lund Univ, Dept Biol, Lund, Sweden.
   [Hornman, Menno] Sovon Dutch Ctr Field Ornithol, Nijmegen, Netherlands.
   [Langendoen, Tom] Wetlands Int, Ede, Netherlands.
   [Ieronymidou, Christina] BirdLife Cyprus, Nicosia, Cyprus.
   [Luigujoe, Leho] Estonian Univ Life Sci, Inst Agr & Environm Sci, Tartu, Estonia.
   [Meissner, Wlodzimierz] Univ Gdansk, Dept Vertebrate Ecol & Zool, Fac Biol, Gdansk, Poland.
   [Mikuska, Tibor] Croatian Soc Bird & Nat Protect, Zagreb, Croatia.
   [Molina, Blas] Sociedad Espanola Ornitol SEO BirdLife, Madrid, Spain.
   [Musilova, Zuzana] Czech Univ Life Sci Prague, Fac Environm Sci, Prague, Czech Republic.
   [Paquet, Jean-Yves] Dept Etud Aves Natagora, Namur, Belgium.
   [Petkov, Nicky] Bulgarian Soc Protect Birds, Conservat Dept, Sofia, Bulgaria.
   [Portolou, Danae] Hellen Ornithol Soc, Athens, Greece.
   [Ridzon, Jozef] SOS BirdLife Slovakia, Bratislava, Slovakia.
   [Sniauksta, Laimonas] Lithuanian Ornithol Soc, Vilnius, Lithuania.
   [Stipniece, Antra] Univ Latvia, Inst Biol, Salaspils, Latvia.
   [Teufelbauer, Norbert] BirdLife Osterreich, Vienna, Austria.
   [Wahl, Johannes] Federat German Avifaunists, Dachverband Deutsch Avifaunisten eV DDA, Munster, Germany.
   [Zenatello, Marco] Ist Super Protez & Ric Ambientale ISPRA, Ozzano Dellemilia, Italy.
C3 University of Turku; International Institute for Applied Systems
   Analysis (IIASA); Cornell University; Norwegian Institute Nature
   Research; University of Helsinki; Swedish University of Agricultural
   Sciences; Aarhus University; Research Institute for Nature & Forest;
   University of West Hungary; British Trust for Ornithology; Lund
   University; Estonian University of Life Sciences; Fahrenheit
   Universities; University of Gdansk; Czech University of Life Sciences
   Prague; University of Latvia
RP Gaget, E (corresponding author), Univ Turku, Dept Biol, Univ Hill, Turku 20014, Finland.
EM elie.gaget@gmail.com
RI Sandercock, Brett/L-1644-2016; Lehikoinen, Aleksi/O-5444-2016; Meissner,
   Wlodzimierz/A-3657-2008; Soultan, Alaaeldin/AGW-5311-2022; Musilova,
   Zuzana/S-2899-2017; Clausen, Preben/J-5276-2013; Johnston,
   Alison/N-4820-2016; Brommer, Jon/C-3613-2008
OI Zenatello, Marco/0000-0002-9225-6737; Clausen,
   Preben/0000-0001-8986-294X; Soultan, Alaaeldin/0000-0002-3976-2657;
   Johnston, Alison/0000-0001-8221-013X; Brommer, Jon/0000-0002-2435-2612;
   Lehikoinen, Aleksi/0000-0002-1989-277X; Pavon-Jordan,
   Diego/0000-0001-5105-3426
FU Academy of Finland (University of Turku) [326327]; Academy of Finland
   (University of Helsinki) [326338]; Swedish Research Council (Swedish
   University of Agricultural Sciences) [2018-02440]; Swedish Research
   Council (Lund University) [2018-02441]; Research Council of Norway
   (Norwegian Institute for Nature Research) [295767]; National Science
   Foundation (Cornell University) [ICER-1927646]; Swedish Research Council
   [2018-02441] Funding Source: Swedish Research Council; Academy of
   Finland (AKA) [326338, 326327] Funding Source: Academy of Finland (AKA);
   Formas [2018-02441, 2018-02440] Funding Source: Formas
FX We acknowledge all the volunteers and professionals involved in the
   International Waterbird Census, which made this research possible. Our
   research was funded through the 2017-2018 Belmont Forum and BiodivERsA
   joint call for research proposals under the BiodivScen ERA-Net COFUND
   program with the following funding organizations: Academy of Finland
   (University of Turku: 326327, University of Helsinki: 326338), Swedish
   Research Council (Swedish University of Agricultural Sciences:
   2018-02440, Lund University: 2018-02441), Research Council of Norway
   (Norwegian Institute for Nature Research, 295767), and National Science
   Foundation (Cornell University, ICER-1927646). We thank W. M. Hochachka,
   S. Nagy, and 2 anonymous reviewers for comments that improved earlier
   drafts of the manuscript.
CR Amano T, 2018, NATURE, V553, P199, DOI 10.1038/nature25139
   Auffret AG, 2019, GLOBAL CHANGE BIOL, V25, P4303, DOI 10.1111/gcb.14765
   Ausden M, 2014, ENVIRON MANAGE, V54, P685, DOI 10.1007/s00267-013-0217-3
   BirdLife International and HBW, 2017, BIRD SPEC DISTR MAPS
   Caswell Hal, 2001, pi
   Delany S., 2010, GUIDANCE WATERBIRD M
   Devictor V, 2008, P ROY SOC B-BIOL SCI, V275, P2743, DOI 10.1098/rspb.2008.0878
   Devictor V, 2012, NAT CLIM CHANGE, V2, P121, DOI 10.1038/NCLIMATE1347
   Engelhard GH, 2014, GLOBAL CHANGE BIOL, V20, P2473, DOI 10.1111/gcb.12513
   Essl F, 2015, TRENDS ECOL EVOL, V30, P375, DOI 10.1016/j.tree.2015.05.002
   European Commission, 2020, COM(2020) 380 final
   Gaget E, 2020, BIOL CONSERV, V243, DOI 10.1016/j.biocon.2020.108485
   Gaget E, 2021, CONSERV BIOL, V35, P834, DOI 10.1111/cobi.13648
   Gaget E, 2020, CONSERV BIOL, V34, P966, DOI 10.1111/cobi.13453
   Gaget E, 2018, BIOL CONSERV, V227, P205, DOI 10.1016/j.biocon.2018.09.019
   Gaüzère P, 2016, DIVERS DISTRIB, V22, P625, DOI 10.1111/ddi.12426
   Giakoumi S, 2019, CONSERV LETT, V12, DOI 10.1111/conl.12586
   Godet L, 2011, BIOL LETTERS, V7, P714, DOI 10.1098/rsbl.2011.0152
   Gourlay-Larour ML, 2012, BIRD STUDY, V59, P266, DOI 10.1080/00063657.2012.697867
   Greenwood O, 2016, J APPL ECOL, V53, P885, DOI 10.1111/1365-2664.12602
   Hermoso V, 2017, CONSERV LETT, V10, P231, DOI 10.1111/conl.12248
   Hochkirch A, 2013, CONSERV LETT, V6, P462, DOI 10.1111/conl.12006
   Holm TE, 2006, BIODIVERS CONSERV, V15, P4399, DOI 10.1007/s10531-005-4384-2
   Kati V, 2015, CONSERV BIOL, V29, P260, DOI 10.1111/cobi.12366
   Lawler JJ, 2013, ECOL LETT, V16, P1014, DOI 10.1111/ele.12132
   Lawson CR, 2014, CONSERV LETT, V7, P111, DOI 10.1111/conl.12036
   Lehikoinen P, 2019, GLOBAL CHANGE BIOL, V25, P304, DOI 10.1111/gcb.14461
   Lenoir J, 2020, NAT ECOL EVOL, V4, P1044, DOI 10.1038/s41559-020-1198-2
   Lenth RV, 2022, emmeans: Estimated Marginal Means, aka LeastSquares Means. R package
   Lung T, 2014, CONSERV LETT, V7, P390, DOI 10.1111/conl.12096
   Maclean IMD, 2008, GLOBAL CHANGE BIOL, V14, P2489, DOI 10.1111/j.1365-2486.2008.01666.x
   Magnusson A., 2017, Package 'glmmTMB'. R Package Version 0.2
   Morice CP, 2012, J GEOPHYS RES-ATMOS, V117, DOI 10.1029/2011JD017187
   Pavón-Jordán D, 2019, DIVERS DISTRIB, V25, P225, DOI 10.1111/ddi.12855
   Pavón-Jordán D, 2015, DIVERS DISTRIB, V21, P571, DOI 10.1111/ddi.12300
   Peach MA, 2019, CONSERV BIOL, V33, P423, DOI 10.1111/cobi.13205
   Pearce-Higgins JW, 2011, IBIS, V153, P207, DOI 10.1111/j.1474-919X.2010.01086.x
   R Core Team, 2016, R: A Language and Environment for Statistical Computing
   Rannow S, 2014, ENVIRON MANAGE, V54, P732, DOI 10.1007/s00267-014-0271-5
   Rodriguez AB, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-16994-z
   Schinegger R, 2016, SCI TOTAL ENVIRON, V573, P1079, DOI 10.1016/j.scitotenv.2016.08.143
   Thomas CD, 2012, P NATL ACAD SCI USA, V109, P14063, DOI 10.1073/pnas.1210251109
   Väänänen VM, 2001, WILDLIFE BIOL, V7, P3
   van Kerkhoff L, 2019, AMBIO, V48, P699, DOI 10.1007/s13280-018-1121-0
   van Teeffelen A, 2015, REG ENVIRON CHANGE, V15, P997, DOI 10.1007/s10113-014-0647-3
   Wessely J, 2017, NAT CLIM CHANGE, V7, P823, DOI [10.1038/nclimate3414, 10.1038/NCLIMATE3414]
NR 46
TC 8
Z9 9
U1 1
U2 38
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0888-8892
EI 1523-1739
J9 CONSERV BIOL
JI Conserv. Biol.
PD AUG
PY 2022
VL 36
IS 4
DI 10.1111/cobi.13877
EA FEB 2022
PG 9
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA 3G4RM
UT WOS:000750966000001
PM 34927284
OA Green Published, hybrid, Green Accepted, Green Submitted
DA 2025-01-10
ER

PT J
AU Voskamp, IM
   Van de Ven, FHM
AF Voskamp, I. M.
   Van de Ven, F. H. M.
TI Planning support system for climate adaptation: Composing effective sets
   of blue-green measures to reduce urban vulnerability to extreme weather
   events
SO BUILDING AND ENVIRONMENT
LA English
DT Article
DE Planning support systems (PSS); Ecosystem services; Green
   infrastructure; Resilience; Urban climate adaptation; Adaptation
   measures selection assistant
ID STORMWATER MANAGEMENT; DESIGN; RETROFITS; MODEL; INFRASTRUCTURE;
   COPENHAGEN; CATCHMENT; IMPACT; FLOOD
AB The risk of pluvial flooding, heat stress and drought is increasing due to climate change. To increase urban resilience to extreme weather events, it is essential to combine green and blue infrastructure and link enhanced storage capacity in periods of water surplus with moments of water shortage as well as water availability with heat stress. 'Blue-green measures' is a collective term for sustainable green and blue infrastructure that utilises underlying ecosystem functions to deliver multiple benefits: for example, cooling via evapotranspiration, water storage for heavy rainfall events, discharge peak attenuation, seasonal water storage, and groundwater recharge. Measures contribute most to climate adaptation when implemented in combinations. Such packages of blue-green measures capitalize upon the synergistic interactions between ecosystem functions and hence enhance multiple vulnerability reduction capacities. Moreover, combining blue-green measures enables using their unique potential at different spatial scales and establishing hydrologic connectivity. This paper proposes a framework for a planning support system and a tool to select adaptation measures to support urban planners in collaboratively finding site-specific sets of blue-green measures for a particular urban reconstruction project. With the proposed framework users can evaluate appropriateness of specific adaptation measures for a particular location and compose effective packages of blue-green measures to handle flooding, drought and heat stress. It is concluded that the framework: 1) enables incorporating knowledge on urban climate adaptation and ecosystem services in a communicative urban planning process, 2) guides the selection of a coherent and effective package of blue-green adaptation measures. (C) 2014 Elsevier Ltd. All rights reserved.
C1 [Voskamp, I. M.; Van de Ven, F. H. M.] Deltares, Urban Water Management, NL-3508 AL Utrecht, Netherlands.
   [Van de Ven, F. H. M.] Delft Univ Technol, Dept Water Management, NL-2628 CN Delft, Netherlands.
C3 Deltares; Delft University of Technology
RP Van de Ven, FHM (corresponding author), Deltares, Urban Water Management, POB 85467, NL-3508 AL Utrecht, Netherlands.
EM Frans.vandeVen@deltares.nl
OI Voskamp, Ilse/0000-0001-5828-8682
FU AECOM; Alterra; Arcadis; Bosch Slabbers; Studio Exter
FX The Adaptation Support Tool is being developed as part of the Climate
   KIC project Blue Green Dream. It builds on the results of the Climate
   Proof Cities research programme, which is part of the Netherlands'
   Knowledge for Climate programme, and on Climate Adaptation App, a
   project under the Netherlands' programme Climate Changes Spatial
   Planning. Feedback and support received from AECOM, Alterra, Arcadis,
   Bosch Slabbers, Studio Exter and the other BGD partners is gratefully
   acknowledged. Editorial support from Karl Smith, Imperial College
   London, is cordially acknowledged.
CR Agudelo Vera CM, 2012, DYNAMIC WATER RESOUR
   Ahern J, 2010, WATER CENTRIC SUSTAI, P311
   Ahern J., 2007, CITIES FUTURE INTEGR, P267
   Albers M, 2013, EUR PLAN STUD, V21, P1598, DOI 10.1080/09654313.2012.722961
   Albers RAW, 2015, BUILD ENVIRON, V83, P1, DOI 10.1016/j.buildenv.2014.09.006
   [Anonymous], 2007, P WATER ENV FED
   [Anonymous], 2011, World Urbanization Prospects: the 2011 Revision
   [Anonymous], 2005, The Dynamics of Global Urban Expansion. Transport and Urban Development Department
   [Anonymous], 2013, ARCADIS BLU IN PRESS
   [Anonymous], CLIM CHANG 2007 ASS
   Backhaus A, 2012, ENVIRON PLANN B, V39, P820, DOI 10.1068/b37088
   Balsells M, 2013, WATER SCI TECHNOL, V68, P2448, DOI 10.2166/wst.2013.527
   Bastien N, 2010, WATER SCI TECHNOL, V61, P263, DOI 10.2166/wst.2010.806
   Burns MJ, 2012, LANDSCAPE URBAN PLAN, V105, P230, DOI 10.1016/j.landurbplan.2011.12.012
   De Graaf R, 2007, NAT HAZARDS, V5, P407
   de Groot RS, 2010, ECOL COMPLEX, V7, P260, DOI 10.1016/j.ecocom.2009.10.006
   de Groot RS, 2002, ECOL ECON, V41, P393, DOI 10.1016/S0921-8009(02)00089-7
   EEA, 2012, CLIM CHANG IMP VULN, DOI DOI 10.2800/66071
   Ellis JB, 2013, J ENVIRON PLANN MAN, V56, P24, DOI 10.1080/09640568.2011.648752
   EPA, NAT STORMW CALC
   Fletcher TD, 2013, ADV WATER RESOUR, V51, P261, DOI 10.1016/j.advwatres.2012.09.001
   Fletcher TD, 2001, MANAGING IMPACTS URB, P217
   Fratini CF, 2012, URBAN WATER J, V9, P317, DOI 10.1080/1573062X.2012.668913
   Fryd O, 2013, WATER SCI TECHNOL, V67, P1945, DOI 10.2166/wst.2013.073
   Fryd O., 2011, CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources, V6, P1, DOI 10.1079/PAVSNNR20116053
   Fryd O, 2012, WATER POLICY, V14, P865, DOI 10.2166/wp.2012.025
   Geertman S., 2004, Computers, Environment and Urban Systems, V28, P291, DOI 10.1016/S0198-9715(03)00024-3
   Gersonius B, 2012, WATER RES, V46, P6824, DOI 10.1016/j.watres.2012.03.060
   Gill SE, 2007, Built Environ, V33, P115, DOI [10.2148/benv.33.1.115, DOI 10.2148/BENV.33.1.115]
   Gómez-Baggethun E, 2013, ECOL ECON, V86, P235, DOI 10.1016/j.ecolecon.2012.08.019
   Hamel P, 2013, J HYDROL, V485, P201, DOI 10.1016/j.jhydrol.2013.01.001
   Illgen M, 2011, URBAN ECOLOGY: PATTERNS, PROCESSES, AND APPLICATIONS, P59
   IPCC Working Group I, 2014, GLOBAL SECT IN PRESS, VI
   James P, 2009, URBAN FOR URBAN GREE, V8, P65, DOI 10.1016/j.ufug.2009.02.001
   Jankovic V, 2012, CLIMATIC CHANGE, V113, P23, DOI 10.1007/s10584-012-0429-1
   Jefferies C, 2009, WATER SCI TECHNOL, V60, P1233, DOI 10.2166/wst.2009.463
   Kambites C, 2006, PLAN PRACT RES, V21, P483, DOI 10.1080/02697450601173413
   Lee JG, 2012, ENVIRON MODELL SOFTW, V37, P6, DOI 10.1016/j.envsoft.2012.04.011
   Lehner B, 2006, CLIMATIC CHANGE, V75, P273, DOI 10.1007/s10584-006-6338-4
   Malczewski J, 2004, PROG PLANN, V62, P3, DOI 10.1016/j.progress.2003.09.002
   Pelzer P, 2014, COMPUT ENVIRON URBAN, V48, P16, DOI 10.1016/j.compenvurbsys.2014.05.002
   Pickett STA, 2011, J ENVIRON MANAGE, V92, P331, DOI 10.1016/j.jenvman.2010.08.022
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   Pont Meta Berghauser., 2004, Spacemate: The Spatial Logic of Urban Density
   Potz H., 2012, URBAN GREEN BLUE GRI
   Rodriguez F, 2008, J HYDROL, V351, P268, DOI 10.1016/j.jhydrol.2007.12.007
   Roldin M, 2012, J HYDROL, V452, P64, DOI 10.1016/j.jhydrol.2012.05.027
   Sauerwein M, 2011, URBAN ECOLOGY: PATTERNS, PROCESSES, AND APPLICATIONS, P45
   Semadeni-Davies A, 2012, J WATER CLIM CHANGE, V3, P239, DOI 10.2166/wcc.2012.043
   te Brömmelstroet M, 2013, COMPUT ENVIRON URBAN, V41, P299, DOI 10.1016/j.compenvurbsys.2012.07.004
   Van de Ven F, 2009, WATERROBUUST BOUWEN
   van de Ven FHM, 2011, J FLOOD RISK MANAG, V4, P273, DOI 10.1111/j.1753-318X.2011.01109.x
   Villarreal EL, 2004, ECOL ENG, V22, P279, DOI 10.1016/j.ecoleng.2004.06.007
   Vonk G, 2010, LANDSCAPE URBAN PLAN, V94, P166, DOI 10.1016/j.landurbplan.2009.10.001
   Voskamp IM., 2013, COMPOSING SETS BLUE, P1
   Wu J, 2013, RESIL ECOL URBAN LIN, V3, P211
NR 56
TC 156
Z9 180
U1 15
U2 318
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0360-1323
EI 1873-684X
J9 BUILD ENVIRON
JI Build. Environ.
PD JAN
PY 2015
VL 83
SI SI
BP 159
EP 167
DI 10.1016/j.buildenv.2014.07.018
PG 9
WC Construction & Building Technology; Engineering, Environmental;
   Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA AY5FA
UT WOS:000347597200014
DA 2025-01-10
ER

PT J
AU Frank, E
   Eakin, H
   López-Carr, D
AF Frank, Elisa
   Eakin, Hallie
   Lopez-Carr, David
TI Social identity, perception and motivation in adaptation to climate risk
   in the coffee sector of Chiapas, Mexico
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Social identity; Perception; Motivation; Adaptation; Coffee production;
   Mexico
ID ADAPTIVE CAPACITY; SELF-EFFICACY; AGRICULTURE; KNOWLEDGE
AB Most investigation into climate adaptation to date has focused on specific technological interventions and socio-economic aspects of adaptive capacity. New perspectives posit that socio-cognitive factors may be as or more important in motivating individuals to take adaptive actions. Recent research indicates that incorporating insights from motivation theory can enhance theorization of adaptive capacity. Yet unexplored, and what we propose here, is the addition of social identity to models of adaptive capacity and adaptation. To apply this conceptual framework, the first author undertook in-depth interviews with a sample of farmers who had participated in broader surveys the previous year to explore their perceptions of their social identity, climate-related information and its sources, and climate risk. These interviews elicited compelling evidence that social identity mediates between risk perception and adaptation through its influence on motivation. Interviews revealed significant links between social identity and perception of information, risk perception and adaptation, of which the most salient were the relative credibility and legitimacy of information sources (related to us vs. them social group differentiation); the role of coffee organizations; and ethnicity and geographic marginalization. Strong in-group identity and perceptions of potentially influential out-groups such as the scientific community appear to particularly influence perception and use of information. These findings have rich policy implications for adaptation management and merit further investigation to identify how, where and why social identity plays a role in climate-risk perception, motivation and adaptation in other geographic areas of vulnerability worldwide. (C) 2010 Elsevier Ltd. All rights reserved.
C1 [Eakin, Hallie] Arizona State Univ, Sch Sustainabil, Tempe, AZ 85287 USA.
   [Frank, Elisa; Lopez-Carr, David] Univ Calif Santa Barbara, Dept Geog, Santa Barbara, CA 93106 USA.
C3 Arizona State University; Arizona State University-Tempe; University of
   California System; University of California Santa Barbara
RP Eakin, H (corresponding author), Arizona State Univ, Sch Sustainabil, POB 875502, Tempe, AZ 85287 USA.
EM elisa@geog.ucsb.edu; Hallie.Eakin@asu.edu; carr@geog.ucsb.edu
RI Eakin, Hallie/J-3654-2012
FU UC MEXUS-CONACYT; Inter-American Institute for Global Change Research
   (IAI) [CRN-2060]; US National Science Foundation [GEO-0452325]
FX This project was funded through a UC MEXUS-CONACYT collaborative grant
   to Dr. Eakin, Dr. Morales and Dr. Cruz-Bello (2006) and conducted with
   the aid of a grant from the Inter-American Institute for Global Change
   Research (IAI) CRN-2060: "Effective adaptation strategies and risk
   reduction towards economic and climatic shocks: lessons from the coffee
   crisis in Mesoamerica," PI Dr. Edwin Castellanos, Universidad del Valle
   de Guatemala. IAI is supported by the US National Science Foundation
   (Grant GEO-0452325). All findings and possible errors expressed in this
   article pertain to the authors and cannot be attributed to the financing
   agencies. The first author would like to thank Dr. Helda Morales and Dr.
   Juan F. Barrera for providing access to the survey data; Joel Herrera,
   Pedro Ramirez Lopez and Conrado Martinez from ECOSUR for their
   assistance in the field; the farmers and organization leaders in Chiapas
   for their hospitality and participation in the interviews; the editorial
   staff of the ASU School of Sustainability; the UCSB Department of
   Geography; and two anonymous reviewers.
CR Adger WN, 2005, CR GEOSCI, V337, P399, DOI 10.1016/j.crte.2004.11.004
   Ambrose ML, 1999, J MANAGE, V25, P231, DOI 10.1016/S0149-2063(99)00003-3
   [Anonymous], 1954, The nature of prejudice
   [Anonymous], ADAPTING CLIMATE CHA
   [Anonymous], 2004, COFFEE COOPERATIVES
   ASHFORTH BE, 1989, ACAD MANAGE REV, V14, P20, DOI 10.2307/258189
   BANDURA A, 1977, PSYCHOL REV, V84, P191, DOI 10.1037/0033-295X.84.2.191
   BANDURA A, 1982, AM PSYCHOL, V37, P122, DOI 10.1037/0003-066X.37.2.122
   Burch S, 2007, CLIM POLICY, V7, P304, DOI 10.1080/14693062.2007.9685658
   Burton I., 1978, ENV HAZARD, V1st
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   Cash DW., 2002, Salience, credibility, legitimacy and boundaries: linking research, assessment and decision making, DOI 10.2139/ssrn.372280
   Castillo RAH, 1998, AM ANTHROPOL, V100, P136, DOI 10.1525/aa.1998.100.1.136
   Cleveland D.A., 2007, Local science vs. global science: Approaches to indigenous knowledge in international development, P209
   Eakin H, 2006, GEOGR J, V172, P156, DOI 10.1111/j.1475-4959.2006.00195.x
   Eakin HC, 2009, CLIMATIC CHANGE, V93, P355, DOI 10.1007/s10584-008-9514-x
   Gay C, 2006, CLIMATIC CHANGE, V79, P259, DOI 10.1007/s10584-006-9066-x
   GECAS V, 1989, ANNU REV SOCIOL, V15, P291, DOI 10.1146/annurev.so.15.080189.001451
   Gonzalez-Jacome A., 2004, Perspectivas Latinoamericanas, V1, p, P1
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   HERNANDEZ UNZON Alberto, 2005, RESUMEN HURACAN STAN
   Hu Q, 2006, J APPL METEOROL CLIM, V45, P1190, DOI 10.1175/JAM2414.1
   Huddy L, 2001, POLIT PSYCHOL, V22, P127, DOI 10.1111/0162-895X.00230
   *INEGI, 2000, 2 CONT POBL VIV
   IPCC, 2007, CLIM CHANG 2007 SYSN
   KASPERSON RE, 1988, RISK ANAL, V8, P177, DOI 10.1111/j.1539-6924.1988.tb01168.x
   Martinez-Torres M.E., 2006, Organic Coffee: Sustainable Development
   Meinke H, 2006, CLIM RES, V33, P101, DOI 10.3354/cr033101
   Mitchell T.R., 1982, ACAD MANAGE REV, V7, P80, DOI [10.5465/AMR.1982.4285467, DOI 10.5465/AMR.1982.4285467, 10.5465/amr.1982.4285467]
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Nigh R, 1997, HUM ORGAN, V56, P427, DOI 10.17730/humo.56.4.w761q3q1h4h8m247
   Nolasco M., 1985, Cafe y sociedad en Mexico
   NYGREN SA, 1999, CRITIQUE ANTHR, V19, P267
   O'Brien KarenL., 1998, SACRIFICING FOREST E
   OliverSmith A, 1996, ANNU REV ANTHROPOL, V25, P303, DOI 10.1146/annurev.anthro.25.1.303
   Patt AG, 2008, GLOBAL ENVIRON CHANG, V18, P458, DOI 10.1016/j.gloenvcha.2008.04.002
   PERDUE CW, 1990, J PERS SOC PSYCHOL, V59, P475, DOI 10.1037/0022-3514.59.3.475
   Perfecto I, 1996, BIOSCIENCE, V46, P598, DOI 10.2307/1312989
   Rice R. A., 1997, Agriculture and Human Values, V14, P127, DOI 10.1023/A:1007316832552
   SAHARREA FA, 1999, CULTIVO CAFE MEXICO
   Sjoberg L, 1998, RISK ANAL, V18, P85, DOI 10.1111/j.1539-6924.1998.tb00918.x
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smith TW, 2007, INT J PUBLIC OPIN R, V19, P380, DOI 10.1093/ijpor/edm015
   STAPEL DA, 1994, SOC COGNITION, V12, P1, DOI 10.1521/soco.1994.12.1.1
   STEHR N, 1995, CLIM RES, V5, P99, DOI 10.3354/cr005099
   TAJFEL H, 1969, J SOC ISSUES, V25, P79, DOI 10.1111/j.1540-4560.1969.tb00620.x
   Tajfel H., 1972, Introduction de la psychologie sociale, V1, P272
   TURNER JC, 1975, EUR J SOC PSYCHOL, V5, P5, DOI 10.1002/ejsp.2420050102
   Vogel C, 2007, GLOBAL ENVIRON CHANG, V17, P349, DOI 10.1016/j.gloenvcha.2007.05.002
   Weber E.U., 1997, Psychological perspectives to environmental and ethical issues in management, P314, DOI DOI 10.1037/0033-2909.132.2.249
   WILDAVSKY A, 1990, DAEDALUS, V119, P41
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
NR 52
TC 176
Z9 220
U1 8
U2 77
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-3780
EI 1872-9495
J9 GLOBAL ENVIRON CHANG
JI Glob. Environ. Change-Human Policy Dimens.
PD FEB
PY 2011
VL 21
IS 1
BP 66
EP 76
DI 10.1016/j.gloenvcha.2010.11.001
PG 11
WC Environmental Sciences; Environmental Studies; Geography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA 806ME
UT WOS:000293811200009
DA 2025-01-10
ER

PT J
AU Free, CM
   Mangin, T
   Molinos, JG
   Ojea, E
   Burden, M
   Costello, C
   Gaines, SD
AF Free, Christopher M.
   Mangin, Tracey
   Molinos, Jorge Garcia
   Ojea, Elena
   Burden, Merrick
   Costello, Christopher
   Gaines, Steven D.
TI Realistic fisheries management reforms could mitigate the impacts of
   climate change in most countries
SO PLOS ONE
LA English
DT Article
ID ENVIRONMENTAL-CHANGE; MARINE FISHERIES; AQUACULTURE; GOVERNANCE;
   ADAPTATION; OCEAN; DIVERSIFICATION; VULNERABILITY; CONSERVATION;
   RESILIENCE
AB Although climate change is altering the productivity and distribution of marine fisheries, climate-adaptive fisheries management could mitigate many of the negative impacts on human society. We forecast global fisheries biomass, catch, and profits to 2100 under three climate scenarios (RCPs 4.5, 6.0, 8.5) and five levels of management reform to (1) determine the impact of climate change on national fisheries and (2) quantify the national-scale benefits of implementing climate-adaptive fisheries reforms. Management reforms accounting for shifting productivity and shifting distributions would yield higher catch and profits in the future relative to today for 60-65% of countries under the two least severe climate scenarios but for only 35% of countries under the most severe scenario. Furthermore, these management reforms would yield higher cumulative catch and profits than business-asusual management for nearly all countries under the two least severe climate scenarios but would yield lower cumulative catch for 40% of countries under the most severe scenario. Fortunately, perfect fisheries management is not necessary to achieve these benefits: transboundary cooperation with 5-year intervals between adaptive interventions would result in comparable outcomes. However, the ability for realistic management reforms to offset the negative impacts of climate change is bounded by changes in underlying biological productivity. Although realistic reforms could generate higher catch and profits for 23-50% of countries experiencing reductions in productivity, the remaining countries would need to develop, expand, and reform aquaculture and other food production sectors to offset losses in capture fisheries. Still, climate-adaptive management is more profitable than business-as-usual management in all countries and we provide guidance on implementing-and achieving the benefits of-climate-adaptive fisheries reform along a gradient of scientific, management, and enforcement capacities.
C1 [Free, Christopher M.; Mangin, Tracey; Costello, Christopher; Gaines, Steven D.] Univ Calif Santa Barbara, Bren Sch Environm Sci & Management, Santa Barbara, CA 93106 USA.
   [Molinos, Jorge Garcia] Hokkaido Univ, Arctic Res Ctr, Sapporo, Hokkaido, Japan.
   [Molinos, Jorge Garcia] Hokkaido Univ, Global Inst Collaborat Res & Educ, Global Stn Arctic Res, Sapporo, Hokkaido, Japan.
   [Molinos, Jorge Garcia] Hokkaido Univ, Grad Sch Environm Sci, Sapporo, Hokkaido, Japan.
   [Ojea, Elena] Univ Vigo, Future Oceans Lab, CIM UVigo, Vigo, Spain.
   [Burden, Merrick] Environm Def Fund, New York, NY USA.
C3 University of California System; University of California Santa Barbara;
   Hokkaido University; Hokkaido University; Hokkaido University;
   Universidade de Vigo; Environmental Defense Fund
RP Free, CM (corresponding author), Univ Calif Santa Barbara, Bren Sch Environm Sci & Management, Santa Barbara, CA 93106 USA.
EM cfree14@gmail.com
RI Gaines, Steven/Y-3234-2019; Garcia Molinos, Jorge/C-9252-2015; ojea,
   elena/D-3709-2018; Free, Christopher/N-2813-2013
OI Garcia Molinos, Jorge/0000-0001-7516-1835; ojea,
   elena/0000-0003-4991-8077; Free, Christopher/0000-0002-2557-8920;
   Gaines, Steven/0000-0002-7604-3483
FU Environmental Defense Fund; "Tenure-Track System Promotion Program" of
   the Japanese Ministry of Education, Culture, Sports, Science and
   Technology (MEXT); European Research Council project CLOCK [679812];
   GAINXunta de Galicia Oportunius program; European Research Council (ERC)
   [679812] Funding Source: European Research Council (ERC)
FX This work was funded by the Environmental Defense Fund. J.G.M. was
   supported by the "Tenure-Track System Promotion Program" of the Japanese
   Ministry of Education, Culture, Sports, Science and Technology (MEXT).
   E.O. was supported by the European Research Council project CLOCK (GA.
   679812) and GAINXunta de Galicia Oportunius program. The funders had no
   role in study design, data collection and analysis, decision to publish,
   or preparation of the manuscript.
CR Abate TG, 2016, AQUACULT ECON MANAG, V20, P201, DOI 10.1080/13657305.2016.1156191
   Allison EH, 2009, FISH FISH, V10, P173, DOI 10.1111/j.1467-2979.2008.00310.x
   Andrea Moreno, 2014, SYSTEM TERRITORIAL U, P88
   [Anonymous], 1990, Dynamic Geography of Marine Fish Populations
   [Anonymous], POINT BLUE CONSERVAT
   [Anonymous], 2018, Meat Market Review, P1
   Aqorau T, 2018, SCIENCE, V361, P1208, DOI 10.1126/science.aav2051
   Atkinson DB, 1997, DISTRIBUTION CHANGES, V54, P7
   Barange M, 2019, ICES J MAR SCI, V76, P1390, DOI 10.1093/icesjms/fsz061
   Blasiak R, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0179632
   Bundy A, 2017, FISH FISH, V18, P412, DOI 10.1111/faf.12184
   Charles A, 2012, CURR OPIN ENV SUST, V4, P351, DOI 10.1016/j.cosust.2012.05.011
   Cheung WWL, 2016, SCIENCE, V354, P1591, DOI 10.1126/science.aag2331
   Cinner JE, 2009, CONSERV BIOL, V23, P124, DOI 10.1111/j.1523-1739.2008.01041.x
   Cinner JE, 2018, NAT CLIM CHANGE, V8, P117, DOI 10.1038/s41558-017-0065-x
   Cline TJ, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14042
   Cochrane KL, 2011, FISH FISH, V12, P275, DOI 10.1111/j.1467-2979.2010.00392.x
   Costello C, 2008, SCIENCE, V321, P1678, DOI 10.1126/science.1159478
   Costello C, 2016, P NATL ACAD SCI USA, V113, P5125, DOI 10.1073/pnas.1520420113
   Costello C, 2010, ANNU REV RESOUR ECON, V2, P299, DOI 10.1146/annurev.resource.012809.103923
   Davies IP, 2019, MAR POLICY, V104, P29, DOI 10.1016/j.marpol.2019.02.054
   Daw TM, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0031460
   Diana JS, 2009, BIOSCIENCE, V59, P27, DOI 10.1525/bio.2009.59.1.7
   emLab, 2019, ESTIMATING THE OCEAN
   Fedele G, 2019, ENVIRON SCI POLICY, V101, P116, DOI 10.1016/j.envsci.2019.07.001
   Fisher JAD, 2004, MAR ECOL PROG SER, V279, P201, DOI 10.3354/meps279201
   Free CM, 2019, SCIENCE, V363, P979, DOI 10.1126/science.aau1758
   Froehlich HE, 2018, NAT ECOL EVOL, V2, P1745, DOI 10.1038/s41559-018-0669-1
   Gaichas SK, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00105
   Gaines SD, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aao1378
   Garcia Molinos Jorge, 2016, Nature Climate Change, V6, P83, DOI 10.1038/nclimate2769
   Gentry RR, 2019, NAT SUSTAIN, V2, P949, DOI 10.1038/s41893-019-0395-y
   Gentry RR, 2017, NAT ECOL EVOL, V1, P1317, DOI 10.1038/s41559-017-0257-9
   Golden C, 2016, NATURE, V534, P317, DOI 10.1038/534317a
   Guillotreau P, 2012, CURR OPIN ENV SUST, V4, P287, DOI 10.1016/j.cosust.2012.06.003
   Gutiérrez NL, 2011, NATURE, V470, P386, DOI 10.1038/nature09689
   Hare JA, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0146756
   Havice E, 2013, MAR POLICY, V42, P259, DOI 10.1016/j.marpol.2013.03.003
   Hazen EL, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aar3001
   Hixon MA, 2014, ICES J MAR SCI, V71, P2171, DOI 10.1093/icesjms/fst200
   Hobday AJ, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00137
   Hobday AJ, 2016, FISH OCEANOGR, V25, P45, DOI 10.1111/fog.12083
   Holsman K, 2017, ECOSYST HEALTH SUST, V3, DOI 10.1002/ehs2.1256
   Holsman KK, 2019, ICES J MAR SCI, V76, P1368, DOI 10.1093/icesjms/fsz031
   Hughes TP, 2005, TRENDS ECOL EVOL, V20, P380, DOI 10.1016/j.tree.2005.03.022
   Karp MA, 2019, ICES J MAR SCI, V76, P1305, DOI 10.1093/icesjms/fsz048
   Kaschner K., 2019, AQUAMAPS PREDICTED R
   Kasperski S, 2013, P NATL ACAD SCI USA, V110, P2076, DOI 10.1073/pnas.1212278110
   Klinger D, 2012, ANNU REV ENV RESOUR, V37, P247, DOI 10.1146/annurev-environ-021111-161531
   Klinger DH, 2017, P ROY SOC B-BIOL SCI, V284, DOI 10.1098/rspb.2017.0834
   Lam VWY, 2016, SCI REP-UK, V6, DOI 10.1038/srep32607
   Lester SE, 2018, P NATL ACAD SCI USA, V115, P7162, DOI 10.1073/pnas.1808737115
   Lotze HK, 2019, P NATL ACAD SCI USA, V116, P12907, DOI 10.1073/pnas.1900194116
   Marshall KN, 2019, ICES J MAR SCI, V76, P1, DOI 10.1093/icesjms/fsy152
   Martell S, 2013, FISH FISH, V14, P504, DOI 10.1111/j.1467-2979.2012.00485.x
   Melnychuk MC, 2017, ICES J MAR SCI, V74, P121, DOI 10.1093/icesjms/fsw169
   Melnychuk MC, 2017, P NATL ACAD SCI USA, V114, P178, DOI 10.1073/pnas.1609915114
   Melnychuk MC, 2012, FISH FISH, V13, P267, DOI 10.1111/j.1467-2979.2011.00429.x
   Meredith M., 2019, Polar Regions. Chapter 3
   Metcalf SJ, 2015, ECOL SOC, V20, DOI 10.5751/ES-07509-200235
   Miller K.A., 2004, MAR RESOUR ECON, V19, P367, DOI [10.1086/mre.19.3.42629440, DOI 10.1086/MRE.19.3.42629440]
   Miller K, 2010, PROG OCEANOGR, V87, P338, DOI 10.1016/j.pocean.2010.09.014
   Miller TJ, 2018, FISHERIES, V43, P533, DOI 10.1002/fsh.10179
   Molinos JG, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-01309-y
   Mora C, 2009, PLOS BIOL, V7, DOI 10.1371/journal.pbio.1000131
   Neubauer P, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0196483
   NOAA,, 2018, Stony coral tissue loss disease case definition., P1
   Ojea E, 2017, AMBIO, V46, P399, DOI 10.1007/s13280-016-0850-1
   Pella J. J., 1969, Bulletin Inter-American Tropical Tuna Commission, V13, P421
   Pinsky ML, 2018, SCIENCE, V360, P1189, DOI 10.1126/science.aat2360
   Pinsky ML, 2014, OCEANOGRAPHY, V27, P146, DOI 10.5670/oceanog.2014.93
   Pinsky ML, 2013, SCIENCE, V341, P1239, DOI 10.1126/science.1239352
   Poloczanska ES, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00062
   Poloczanska ES, 2013, NAT CLIM CHANGE, V3, P919, DOI [10.1038/nclimate1958, 10.1038/NCLIMATE1958]
   Punt AE, 2016, FISH FISH, V17, P303, DOI 10.1111/faf.12104
   Punt AE, 2014, ICES J MAR SCI, V71, P2208, DOI 10.1093/icesjms/fst057
   Ricard D, 2012, FISH FISH, V13, P380, DOI 10.1111/j.1467-2979.2011.00435.x
   Richards LJ, 1998, CAN J FISH AQUAT SCI, V55, P1545, DOI 10.1139/cjfas-55-6-1545
   Rijnsdorp AD, 2009, ICES J MAR SCI, V66, P1570, DOI 10.1093/icesjms/fsp056
   Robinson LM, 2019, ECOSYSTEMS, V22, P1573, DOI 10.1007/s10021-019-00358-w
   Schatz VJ, 2019, INT J MAR COAST LAW, V34, P195, DOI 10.1163/15718085-23342015
   Schlenker W, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014010
   SERDY A., 2016, The new entrants problema in International fisheries law
   Simpson MR, 2004, J SEA RES, V51, P199, DOI 10.1016/j.seares.2003.08.007
   Singh GG, 2019, PEOPLE NAT, V1, P317, DOI 10.1002/pan3.26
   Skern-Mauritzen M, 2016, FISH FISH, V17, P165, DOI 10.1111/faf.12111
   Soto D, 2018, IMPACTS CLIMATE CHAN, P26
   SOUTHWARD AJ, 1995, J THERM BIOL, V20, P127, DOI 10.1016/0306-4565(94)00043-I
   Spijkers J, 2019, GLOBAL ENVIRON CHANG, V57, DOI 10.1016/j.gloenvcha.2019.05.005
   Spijkers J, 2017, REG ENVIRON CHANGE, V17, P1835, DOI 10.1007/s10113-017-1150-4
   Sullivan MC, 2006, CONT SHELF RES, V26, P1551, DOI 10.1016/j.csr.2006.03.012
   Sumaila UR, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aau3855
   Szuwalski CS, 2016, ICES J MAR SCI, V73, P1297, DOI 10.1093/icesjms/fsv229
   Thorson JT, 2012, CAN J FISH AQUAT SCI, V69, P1556, DOI 10.1139/F2012-077
   Tommasi D, 2017, ECOL APPL, V27, P378, DOI 10.1002/eap.1458
   Willett W, 2019, LANCET, V393, P447, DOI 10.1016/S0140-6736(18)31788-4
   Zador S, 2011, MAR ECOL PROG SER, V438, P229, DOI 10.3354/meps09316
NR 97
TC 64
Z9 71
U1 2
U2 19
PU PUBLIC LIBRARY SCIENCE
PI SAN FRANCISCO
PA 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA
SN 1932-6203
J9 PLOS ONE
JI PLoS One
PD MAR 5
PY 2020
VL 15
IS 3
AR e0224347
DI 10.1371/journal.pone.0224347
PG 21
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics
GA LQ8RK
UT WOS:000535265600009
PM 32134926
OA Green Published, gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Tran, BR
AF Tran, Brigitte Roth
TI Sellin' in the Rain: Weather, Climate, and Retail Sales
SO MANAGEMENT SCIENCE
LA English
DT Article
DE adaptation; climate change; weather; machine learning; retail sales
ID ADAPTATION EVIDENCE; TEMPERATURE; MORTALITY; DAMAGES
AB I apply a novel machine-learning based "weather index" method to daily storelevel sales data for a national apparel and sporting goods brand to examine short-run responses to weather and long-run adaptation to climate. I find that even when considering potentially offsetting shifts of sales between outdoor and indoor stores, to the firm's website, or over time, weather has significant persistent effects on sales. This suggests that weather may increase sales volatility as more severe weather shocks become more frequent under climate change. Consistent with adaptation to climate, I find that sensitivity of sales to weather decreases with historical experience for precipitation, snow, and cold weather events, but-surprisingly-not for extreme heat events. This suggests that adaptation may moderate some but not all the adverse impacts of climate change on sales. Retailers can respond by adjusting their staffing, inventory, promotion events, compensation, and financial reporting.
C1 [Tran, Brigitte Roth] Econ Res, Fed Reserve Bank San Francisco, San Francisco, CA 94105 USA.
C3 Federal Reserve System - USA; Federal Reserve Bank - San Francisco
RP Tran, BR (corresponding author), Econ Res, Fed Reserve Bank San Francisco, San Francisco, CA 94105 USA.
EM brigitte.rothtran@sf.frb.org
OI Roth Tran, Brigitte/0000-0003-3123-315X
FU National Science Foundation [0903551]
FX This work was supported by the National Science Foundation [Grant
   0903551] .
CR Addoum JM, 2020, REV FINANC STUD, V33, P1331, DOI 10.1093/rfs/hhz126
   Aladangady Aditya., 2016, FEDS NOTES
   [Anonymous], 2019, Report on the Economic Well-Being of U.S. Households in 2018
   Bahng YJ, 2012, INT J RETAIL DISTRIB, V40, P410, DOI 10.1108/09590551211230232
   Bakkensen LA, 2016, J ASSOC ENVIRON RESO, V3, P555, DOI 10.1086/685908
   Barreca A, 2015, AM ECON REV, V105, P247, DOI 10.1257/aer.p20151028
   Barwick PJ, 2023, 26541 NBER
   Baylis P, 2020, J PUBLIC ECON, V184, DOI 10.1016/j.jpubeco.2020.104161
   Behrer AP, 2017, HARVARD PROJECT CLIM
   Bertrand JL, 2015, EUR J OPER RES, V244, P261, DOI 10.1016/j.ejor.2015.01.012
   Bloesch J., 2015, EC PERSPECT, V39, P1
   Busse MR, 2015, Q J ECON, V130, P371, DOI 10.1093/qje/qju033
   Chan NW, 2020, ENVIRON RESOUR ECON, V76, P119, DOI 10.1007/s10640-020-00420-5
   Conlin M, 2007, AM ECON REV, V97, P1217, DOI 10.1257/aer.97.4.1217
   Dell M, 2014, J ECON LIT, V52, P740, DOI 10.1257/jel.52.3.740
   Deryugina T, 2017, 24072 NBER
   Deschênes O, 2011, AM ECON J-APPL ECON, V3, P152, DOI 10.1257/app.3.4.152
   Herrnstadt E, 2014, J ENVIRON ECON MANAG, V68, P435, DOI 10.1016/j.jeem.2014.08.002
   HOWARTH E, 1984, BRIT J PSYCHOL, V75, P15, DOI 10.1111/j.2044-8295.1984.tb02785.x
   Hsiang SM, 2012, CLIM CHANG ECON, V3, DOI 10.1142/S201000781250011X
   Kala N., 2017, Learning, Adaptation and Climate Uncertainty: Evidence from Indian Agriculture
   Levy O, 2008, J ECON BEHAV ORGAN, V67, P755, DOI 10.1016/j.jebo.2005.05.014
   Li C., 2015, Weather and mobile purchases: 10- million-user field study
   Martínez-de-Albéniz V, 2021, EUR J OPER RES, V294, P820, DOI 10.1016/j.ejor.2020.01.064
   Maunder WJ, 1973, WEATHER, V28, P2, DOI DOI 10.1002/J.1477-8696.1973.TB02217.X
   McKibben B, 2014, NEW YORK REV BOOKS, V61, P46
   NOAA National Centers for Environmental Information (NCEI) formerly known as National Climatic Data Center (NCDC), GLOB HIST CLIM NETW
   Parnaudeau M, 2018, APPL ECON, V50, P4632, DOI 10.1080/00036846.2018.1458200
   Parsons A., 2001, AUSTRALAS MARK J, V9, P78, DOI [DOI 10.1016/S1441-3582, 10.1016/S1441-3582(01)70177-2, DOI 10.1016/S1441-3582(01)70177-2]
   Reidmiller D. R., 2018, Impacts, Risks, and Adaptation in the United States: Fourth National Climate Assessment, VII, DOI [DOI 10.7930/NCA4.2018, 10.7930/NCA4.2018]
   Roth Tran B, 2016, THESIS U CALIFORNIA
   Schlenker W, 2009, P NATL ACAD SCI USA, V106, P15594, DOI 10.1073/pnas.0906865106
   Shrader J., 2017, Expectations and adaptation to environmental risks
   Smith K., 1993, Weather, V48, P398, DOI 10.1002/j.1477-8696.1993.tb05828.x
   Starr-McCluer M., 2000, The Effects of Weather on Retail Sales. Finance and Economics Discussion Series Working Paper
   Steele AT, 1951, J MARKETING, V15, P436, DOI 10.2307/1247756
   Tucker P, 2007, PUBLIC HEALTH, V121, P909, DOI 10.1016/j.puhe.2007.04.009
   Zivin JG, 2014, J LABOR ECON, V32, P1, DOI 10.1086/671766
NR 38
TC 5
Z9 5
U1 29
U2 95
PU INFORMS
PI CATONSVILLE
PA 5521 RESEARCH PARK DR, SUITE 200, CATONSVILLE, MD 21228 USA
SN 0025-1909
EI 1526-5501
J9 MANAGE SCI
JI Manage. Sci.
PD DEC
PY 2023
VL 69
IS 12
BP 7423
EP 7447
DI 10.1287/mnsc.2023.4799
EA MAY 2023
PG 26
WC Management; Operations Research & Management Science
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Business & Economics; Operations Research & Management Science
GA CU7X1
UT WOS:000995688400001
DA 2025-01-10
ER

PT J
AU Vantaggiato, FP
   Lubell, M
AF Vantaggiato, Francesca Pia
   Lubell, Mark
TI Functional differentiation in governance networks for sea level rise
   adaptation in the San Francisco Bay Area
SO SOCIAL NETWORKS
LA English
DT Article
DE Social capital; Climate adaptation; Governance networks; Sea level rise;
   AGM
ID CLIMATE ADAPTATION; COLLABORATIVE GOVERNANCE; POLICY NETWORKS;
   LEADERSHIP; MANAGEMENT; INSTITUTIONS; ORGANIZATION; SELECTION; JUSTICE;
   MODELS
AB Climate change governance networks help actors overcome collective action problems by building social capital. The literature studies these networks as embodying a single underlying social problem: coordination or cooperation. This approach overlooks actor heterogeneity and cannot account for the empirical coexistence of different types of social capital. We contend that climate change governance networks consist of functionally differentiated communities of actors who build bonding or bridging social capital depending on their characteristics and goals. We test these claims with an Affiliation Graph Model (AGM) in the empirical case of adaptation to sea level rise in the San Francisco Bay Area, using original data collected in 2018. We distinguish three social processes: 'leadership/brokerage', 'translation', and 'following'. Further research on different combinations of social capital across different networks is warranted.
C1 [Vantaggiato, Francesca Pia] Kings Coll London, London, England.
   [Lubell, Mark] Univ Calif Davis, Davis, CA USA.
C3 University of London; King's College London; University of California
   System; University of California Davis
RP Vantaggiato, FP (corresponding author), Kings Coll London, London, England.
EM francesca.vantaggiato@kcl.ac.uk
RI Vantaggiato, Francesca/GPS-9047-2022
CR Angst M, 2018, ECOL SOC, V23, DOI [10.5751/ES-10030-230201, 10.5751/es-10030-230201]
   Angst M, 2017, POLICY STUD J, V45, P315, DOI 10.1111/psj.12145
   [Anonymous], 2005, Brokerage and closure: An introduction to social capital
   Ansell C., 2012, Innovation Journal, V17
   Ansell C, 2008, J PUBL ADM RES THEOR, V18, P543, DOI 10.1093/jopart/mum032
   Battiston F, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0147451
   Berardo R, 2020, AM REV PUBLIC ADM, V50, P898, DOI 10.1177/0275074020927792
   Berardo R, 2016, PUBLIC ADMIN REV, V76, P738, DOI 10.1111/puar.12532
   Berardo R, 2014, J PUBL ADM RES THEOR, V24, P697, DOI 10.1093/jopart/muu003
   Berardo R, 2014, POLICY STUD J, V42, P197, DOI 10.1111/psj.12056
   Berardo R, 2010, AM J POLIT SCI, V54, P632, DOI 10.1111/j.1540-5907.2010.00451.x
   Bodin Ö, 2009, GLOBAL ENVIRON CHANG, V19, P366, DOI 10.1016/j.gloenvcha.2009.05.002
   Bródka P, 2018, ROY SOC OPEN SCI, V5, DOI 10.1098/rsos.171747
   Calanni JC, 2015, J PUBL ADM RES THEOR, V25, P901, DOI 10.1093/jopart/mut080
   CALVERT RL, 1992, INT POLIT SCI REV, V13, P7, DOI 10.1177/019251219201300102
   Carter DR, 2015, J APPL PSYCHOL, V100, P597, DOI 10.1037/a0038922
   Christopoulos D, 2015, EUR POLIT SCI REV, V7, P475, DOI 10.1017/S1755773914000277
   COLEMAN JS, 1988, AM J SOCIOL, V94, pS95, DOI 10.1086/228943
   Desmarais BA, 2012, POLICY STUD J, V40, P402, DOI 10.1111/j.1541-0072.2012.00459.x
   Dolsak N, 2018, ANNU REV ENV RESOUR, V43, P317, DOI 10.1146/annurev-environ-102017-025739
   Ekstrom JA, 2014, URBAN CLIM, V9, P54, DOI 10.1016/j.uclim.2014.06.002
   Emerson K, 2014, ENVIRON MANAGE, V54, P768, DOI 10.1007/s00267-014-0334-7
   Emerson K, 2012, J PUBL ADM RES THEOR, V22, P1, DOI 10.1093/jopart/mur011
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Fortunato S, 2016, PHYS REP, V659, P1, DOI 10.1016/j.physrep.2016.09.002
   FROHLICH N., 1971, POLITICAL LEADERSHIP
   Gerber ER, 2013, AM J POLIT SCI, V57, P598, DOI 10.1111/ajps.12011
   Gerber ER, 2009, AM J POLIT SCI, V53, P633, DOI 10.1111/j.1540-5907.2009.00391.x
   GRANOVETTER MS, 1973, AM J SOCIOL, V78, P1360, DOI 10.1086/225469
   Hadden J, 2018, POLICY STUD J, V46, P248, DOI 10.1111/psj.12217
   Hamilton M, 2018, ECOL SOC, V23, DOI 10.5751/ES-10179-230236
   Hamilton M, 2018, POLICY STUD J, V46, P222, DOI 10.1111/psj.12224
   Handcock MS, 2010, ANN APPL STAT, V4, P5, DOI 10.1214/08-AOAS221
   Henry AD, 2012, J POLICY ANAL MANAG, V31, P432, DOI 10.1002/pam.21623
   Hileman J, 2018, SOC NATUR RESOUR, V31, P683, DOI 10.1080/08941920.2017.1423436
   Holland B, 2017, ENVIRON POLIT, V26, P391, DOI 10.1080/09644016.2017.1287625
   Huxham C, 2000, ACAD MANAGE J, V43, P1159, DOI 10.5465/1556343
   Ingold K, 2012, J PUBL ADM RES THEOR, V22, P319, DOI 10.1093/jopart/mur035
   Ingold K, 2011, POLICY STUD J, V39, P435, DOI 10.1111/j.1541-0072.2011.00416.x
   Latora V, 2013, J STAT PHYS, V151, P745, DOI 10.1007/s10955-013-0722-z
   Leskovec J, 2016, ACM T INTEL SYST TEC, V8, DOI 10.1145/2898361
   Leskovec J, 2009, INTERNET MATH, V6, P29, DOI 10.1080/15427951.2009.10129177
   Levy MA, 2018, REG ENVIRON CHANGE, V18, P1235, DOI 10.1007/s10113-017-1258-6
   Lubell M, 2003, POLIT RES QUART, V56, P309, DOI 10.2307/3219791
   Lubell M, 2017, PUBLIC ADMIN REV, V77, P668, DOI 10.1111/puar.12622
   Lubell M, 2014, ECOL SOC, V19, DOI 10.5751/ES-06880-190423
   Lubell M, 2013, POLICY STUD J, V41, P537, DOI 10.1111/psj.12028
   Manfreda KL, 2008, INT J MARKET RES, V50, P79, DOI 10.1177/147078530805000107
   Margerum RD, 2016, NEW HORIZON ENV POLI, P1, DOI 10.4337/9781785360411
   McAllister RRJ, 2015, POLICY STUD J, V43, P379, DOI 10.1111/psj.12103
   McAllister RRJ, 2014, REG ENVIRON CHANGE, V14, P527, DOI 10.1007/s10113-013-0489-4
   Mewhirter J, 2019, POLICY STUD J, V47, P996, DOI 10.1111/psj.12227
   Mintrom M, 2017, ENVIRON PLAN C-POLIT, V35, P1362, DOI 10.1177/2399654417708440
   Mintrom M, 2009, POLICY STUD J, V37, P649, DOI 10.1111/j.1541-0072.2009.00329.x
   OSTROM V, 1961, AM POLIT SCI REV, V55, P831, DOI 10.2307/1952530
   Preston BL, 2015, MITIG ADAPT STRAT GL, V20, P467, DOI 10.1007/s11027-013-9503-x
   PROVAN KG, 1995, ADMIN SCI QUART, V40, P1, DOI 10.2307/2393698
   Putnam R., 2001, CANADIAN J POLICY RE, V2, P41
   Robins G, 2007, SOC NETWORKS, V29, P173, DOI 10.1016/j.socnet.2006.08.002
   Ryan C, 2017, NETW SCI, V5, P70, DOI 10.1017/nws.2017.6
   SABATIER PA, 1987, KNOWLEDGE, V8, P649, DOI 10.1177/0164025987008004005
   Sandström A, 2016, REV POLICY RES, V33, P442, DOI 10.1111/ropr.12180
   Schelling Thomas C., 1960, The Strategy of Conflict
   Schlosberg D, 2014, WIRES CLIM CHANGE, V5, P359, DOI 10.1002/wcc.275
   Scholz JT, 2008, J POLIT, V70, P393, DOI 10.1017/S0022381608080389
   Scott TA, 2019, J ENVIRON POL PLAN, V21, P153, DOI 10.1080/1523908X.2019.1566061
   Scott TA, 2017, J PUBL ADM RES THEOR, V27, P647, DOI 10.1093/jopart/mux009
   Tunç B, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0143133
   Vogel David, 2018, CALIFORNIA GREENIN G
   Wang RQ, 2018, EARTHS FUTURE, V6, P677, DOI 10.1002/2017EF000742
   Witting A, 2017, PALGR COMMUN, V3, DOI 10.1057/s41599-017-0052-x
   Wyse J., 2019, Collapsed latent position cluster model for social networks
   Yang JW, 2012, Arxiv, DOI arXiv:1205.6228
   Yang J, 2014, P IEEE, V102, P1892, DOI 10.1109/JPROC.2014.2364018
   Yang J, 2012, IEEE DATA MINING, P1170, DOI 10.1109/ICDM.2012.139
   Yi HT, 2018, J PUBL ADM RES THEOR, V28, P457, DOI 10.1093/jopart/muy031
   Yi HT, 2018, PUBLIC ADMIN REV, V78, P195, DOI 10.1111/puar.12886
   Young O.R., 2013, On environmental governance: Sustainability, efficiency, and equity
NR 78
TC 7
Z9 7
U1 5
U2 11
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0378-8733
EI 1879-2111
J9 SOC NETWORKS
JI Soc. Networks
PD OCT
PY 2023
VL 75
BP 16
EP 28
DI 10.1016/j.socnet.2022.02.010
EA SEP 2023
PG 13
WC Anthropology; Sociology
WE Social Science Citation Index (SSCI)
SC Anthropology; Sociology
GA U3EE6
UT WOS:001083656800001
OA hybrid
DA 2025-01-10
ER

PT J
AU Leducq, JB
   Charron, G
   Samani, P
   Dubé, AK
   Sylvester, K
   James, B
   Almeida, P
   Sampaio, JP
   Hittinger, CT
   Bell, G
   Landry, CR
AF Leducq, Jean-Baptiste
   Charron, Guillaume
   Samani, Pedram
   Dube, Alexandre K.
   Sylvester, Kayla
   James, Brielle
   Almeida, Pedro
   Sampaio, Jose Paulo
   Hittinger, Chris Todd
   Bell, Graham
   Landry, Christian R.
TI Local climatic adaptation in a widespread microorganism
SO PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
LA English
DT Article
DE Saccharomyces paradoxus; climate adaptation; global warming;
   temperature-dependent fitness; freeze-thaw survival
ID SACCHAROMYCES-CEREVISIAE; POPULATION GENOMICS; THERMAL TOLERANCE;
   PARADOXUS; EVOLUTION; LIMITS; TREES
AB Exploring the ability of organisms to locally adapt is critical for determining the outcome of rapid climate changes, yet few studies have addressed this question in microorganisms. We investigated the role of a heterogeneous climate on adaptation of North American populations of the wild yeast Saccharomyces paradoxus. We found abundant among-strain variation for fitness components across a range of temperatures, but this variation was only partially explained by climatic variation in the distribution area. Most of fitness variation was explained by the divergence of genetically distinct groups, distributed along a north-south cline, suggesting that these groups have adapted to distinct climatic conditions. Within-group fitness components were correlated with climatic conditions, illustrating that even ubiquitous microorganisms locally adapt and harbour standing genetic variation for climate-related traits. Our results suggest that global climatic changes could lead to adaptation to new conditions within groups, or changes in their geographical distributions.
C1 [Leducq, Jean-Baptiste; Charron, Guillaume; Dube, Alexandre K.; Landry, Christian R.] Univ Laval, Inst Biol Integrat & Syst, PROTEO, Dept Biol, Quebec City, PQ G1V 0A6, Canada.
   [Samani, Pedram; Bell, Graham] McGill Univ, Dept Biol, Montreal, PQ H3A 1B1, Canada.
   [Sylvester, Kayla; James, Brielle; Hittinger, Chris Todd] Wisconsin Energy Inst, Genome Ctr Wisconsin, DOE Great Lakes Bioenergy Res Ctr, Lab Genet,Genet Biotechnol Ctr 2434, Madison, WI 53706 USA.
   [Almeida, Pedro; Sampaio, Jose Paulo] Univ Nova Lisboa, Ctr Recursos Microbiol, Fac Ciencias & Tecnol, Dept Ciencias Vida, P-2829516 Caparica, Portugal.
C3 Laval University; McGill University; United States Department of Energy
   (DOE); Universidade Nova de Lisboa
RP Leducq, JB (corresponding author), Univ Laval, Inst Biol Integrat & Syst, PROTEO, Dept Biol, Pavillon Charles Eugene Marchand,1030 Ave Med, Quebec City, PQ G1V 0A6, Canada.
EM jean-baptiste.leducq.1@ulaval.ca; christian.landry@bio.ulaval.ca
RI Landry, Christian/F-3890-2011; Almeida, Pedro/H-7922-2019; Samani,
   Pedram/J-9614-2019; Charron, Guillaume/AAM-5680-2021; Sampaio,
   Jose/C-5532-2011
OI Sampaio, Jose/0000-0001-8145-5274; Almeida, Pedro/0000-0001-6790-8687;
   Landry, Christian R/0000-0003-3028-6866
FU Natural Sciences and Engineering Research Council of Canada (NSERC);
   Human Frontier Science Programme (HFSP) [RGY0073/2010]; National Science
   Foundation [DEB-1253634]; DOE Great Lakes Bioenergy Research Center (DOE
   Office of Science) [BER DE-FC02-07ER64494]; FCT (Portugal)
   [SFRH/BD/77390/2011, PEST/OE/BIA/UI0457/2011, PTDC/BIA-EVF/118618/2010,
   PTDC/AGR-ALI/118590/2010]; Fonds de Recherche en Sante du Quebec (FRSQ);
   PROTEO graduate student scholarship; Fonds de la Recherche sur la Nature
   et les Technologies du Quebec (FQRNT); Direct For Biological Sciences;
   Division Of Environmental Biology [1253634] Funding Source: National
   Science Foundation; Fundação para a Ciência e a Tecnologia
   [SFRH/BD/77390/2011, PTDC/AGR-ALI/118590/2010, PTDC/BIA-EVF/118618/2010]
   Funding Source: FCT
FX This work was supported by a Natural Sciences and Engineering Research
   Council of Canada (NSERC) discovery grant to C. R. L. and partly by a
   Human Frontier Science Programme (HFSP) grant RGY0073/2010. This
   material is based upon work supported by the National Science Foundation
   under grant no. DEB-1253634 to C. T. H. and funded in part by the DOE
   Great Lakes Bioenergy Research Center (DOE Office of Science BER
   DE-FC02-07ER64494). J.P.S. was supported by FCT (Portugal) grant nos.
   SFRH/BD/77390/2011 (P. A.) and PEST/OE/BIA/UI0457/2011,
   PTDC/BIA-EVF/118618/2010, PTDC/AGR-ALI/118590/2010. J.-B.L. was
   supported by a fellowship from the Fonds de Recherche en Sante du Quebec
   (FRSQ). G. C. was supported by a PROTEO graduate student scholarship. P.
   S. was supported by a fellowship from the Fonds de la Recherche sur la
   Nature et les Technologies du Quebec (FQRNT).
CR Baas Becking LGM, 1934, GEOBIOLOGIE INLEIDIN
   Belotte D, 2003, EVOLUTION, V57, P27, DOI 10.1111/j.0014-3820.2003.tb00213.x
   Charron G, 2014, FEMS YEAST RES, V14, P281, DOI 10.1111/1567-1364.12100
   Chen IC, 2011, SCIENCE, V333, P1024, DOI 10.1126/science.1206432
   Cooper VS, 2001, EVOLUTION, V55, P889, DOI 10.1554/0014-3820(2001)055[0889:EOTDOG]2.0.CO;2
   Cowen LE, 2002, P NATL ACAD SCI USA, V99, P9284, DOI 10.1073/pnas.102291099
   Deutsch CA, 2008, P NATL ACAD SCI USA, V105, P6668, DOI 10.1073/pnas.0709472105
   Eliason EJ, 2011, SCIENCE, V332, P109, DOI 10.1126/science.1199158
   Esteban GF, 2010, NATURE, V463, P293, DOI 10.1038/463293c
   Gächter E, 2006, AQUAT MICROB ECOL, V45, P291, DOI 10.3354/ame045291
   Gonçalves P, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0020739
   Hyma KE, 2013, MOL ECOL, V22, P2917, DOI 10.1111/mec.12155
   Johnson LJ, 2004, GENETICS, V166, P43, DOI 10.1534/genetics.166.1.43
   Koufopanou V, 2006, PHILOS T R SOC B, V361, P1941, DOI 10.1098/rstb.2006.1922
   Kuehne HA, 2007, CURR BIOL, V17, P407, DOI 10.1016/j.cub.2006.12.047
   Lachance MA, 2004, BIOSCIENCE, V54, P884, DOI 10.1641/0006-3568(2004)054[0884:HATOE]2.0.CO;2
   Lenormand T, 2002, TRENDS ECOL EVOL, V17, P183, DOI 10.1016/S0169-5347(02)02497-7
   Libkind D, 2011, P NATL ACAD SCI USA, V108, P14539, DOI 10.1073/pnas.1105430108
   Liti G, 2009, NATURE, V458, P337, DOI 10.1038/nature07743
   Maclean IMD, 2011, P NATL ACAD SCI USA, V108, P12337, DOI 10.1073/pnas.1017352108
   Maganti H, 2012, FEMS YEAST RES, V12, P9, DOI 10.1111/j.1567-1364.2011.00756.x
   Ordonez A, 2013, ECOL LETT, V16, P773, DOI 10.1111/ele.12110
   Perron GG, 2008, J EVOLUTION BIOL, V21, P1724, DOI 10.1111/j.1420-9101.2008.01596.x
   Quintero I, 2013, ECOL LETT, V16, P1095, DOI 10.1111/ele.12144
   R- Developement- Core- Team, 2011, R: a language and environment for statistical computing
   Replansky T, 2009, OIKOS, V118, P233, DOI 10.1111/j.1600-0706.2008.16948.x
   Salvadó Z, 2011, APPL ENVIRON MICROB, V77, P2292, DOI 10.1128/AEM.01861-10
   Sampaio JP, 2008, APPL ENVIRON MICROB, V74, P2144, DOI 10.1128/AEM.02396-07
   Schade B, 2004, MOL BIOL CELL, V15, P5492, DOI 10.1091/mbc.E04-03-0167
   Sniegowski Paul D., 2002, FEMS Yeast Research, V1, P299, DOI 10.1111/j.1567-1364.2002.tb00048.x
   Soininen J, 2012, ENV MICROBIOL REP, V4, P10, DOI 10.1111/j.1758-2229.2011.00308.x
   Sweeney JY, 2004, FEMS YEAST RES, V4, P521, DOI 10.1016/S1567-1356(03)00171-5
   Takahashi S, 2009, APPL ENVIRON MICROB, V75, P6706, DOI 10.1128/AEM.00905-09
   Taylor JW, 2006, PHILOS T R SOC B, V361, P1947, DOI 10.1098/rstb.2006.1923
   Telford RJ, 2006, SCIENCE, V312, P1015, DOI 10.1126/science.1125669
   Tsai IJ, 2008, P NATL ACAD SCI USA, V105, P4957, DOI 10.1073/pnas.0707314105
   Tulha J, 2010, MICROB CELL FACT, V9, DOI 10.1186/1475-2859-9-82
   Whitaker RJ, 2006, PHILOS T R SOC B, V361, P1975, DOI 10.1098/rstb.2006.1927
   Will JL, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1000893
   Willett CS, 2010, EVOLUTION, V64, P2521, DOI 10.1111/j.1558-5646.2010.01008.x
   Zhang HY, 2010, FEMS YEAST RES, V10, P941, DOI 10.1111/j.1567-1364.2010.00681.x
NR 41
TC 50
Z9 61
U1 0
U2 52
PU ROYAL SOC
PI LONDON
PA 6-9 CARLTON HOUSE TERRACE, LONDON SW1Y 5AG, ENGLAND
SN 0962-8452
EI 1471-2954
J9 P ROY SOC B-BIOL SCI
JI Proc. R. Soc. B-Biol. Sci.
PD FEB 22
PY 2014
VL 281
IS 1777
AR 20132472
DI 10.1098/rspb.2013.2472
PG 9
WC Biology; Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics; Environmental Sciences &
   Ecology; Evolutionary Biology
GA AC2YK
UT WOS:000332382000010
PM 24403328
OA Green Published, Bronze
DA 2025-01-10
ER

PT C
AU Stewart, MG
AF Stewart, M. G.
BE Furuta, H
   Frangopol, DM
   Akiyama, M
TI Climate change risks and climate adaptation engineering for built
   infrastructure
SO LIFE-CYCLE OF STRUCTURAL SYSTEMS: DESIGN, ASSESSMENT, MAINTENANCE AND
   MANAGEMENT
LA English
DT Proceedings Paper
CT FOURTH INTERNATIONAL SYMPOSIUM ON LIFE-CYCLE CIVIL ENGINEERING
CY NOV 16-19, 2014
CL TOKYO, JAPAN
ID VULNERABILITY; MODEL; HAZARD
AB A changing climate may result in more intense tropical cyclones and storms, more intense rain events and flooding, and other natural hazards. Moreover, increases in CO2 atmospheric concentrations, and changes in temperature and humidity, may reduce the durability of concrete, steel and timber structures. There is increasing research that takes into account the changing climate risks and life-cycle costs in engineering to reduce the vulnerability or increase the resiliency of infrastructure - we define this as 'climate adaptation engineering'. The paper will describe how risk-based approaches are well suited to optimising climate adaptation strategies related to the construction, design, operation and maintenance of built infrastructure. Stochastic methods are used to model infrastructure performance, risk reduction and effectiveness of adaptation strategies, exposure, and costs. These concepts will be illustrated with state-of-the-art research on risk-based life-cycle assessment of climate adaptation strategies. Uncertainties of climate projections are also discussed. This will pave the way for more efficient and resilient infrastructure, and help 'future proof' new and existing infrastructure to a changing climate.
C1 [Stewart, M. G.] Univ Newcastle, Ctr Infrastruct Performance & Reliabil, Callaghan, NSW 2308, Australia.
C3 University of Newcastle
RP Stewart, MG (corresponding author), Univ Newcastle, Ctr Infrastruct Performance & Reliabil, Callaghan, NSW 2308, Australia.
RI Stewart, Mark/G-7415-2013
OI Stewart, Mark/0000-0001-6887-6533
FU Commonwealth Scientific and Industrial Research Organisation (CSIRO)
   Flagship Cluster Fund through the project Climate Adaptation Engineering
   for Extreme Events in collaboration with the Sustainable Cities and
   Coasts Theme; CSIRO Climate Adaptation Flagship
FX The author appreciates the financial support of the Commonwealth
   Scientific and Industrial Research Organisation (CSIRO) Flagship Cluster
   Fund through the project Climate Adaptation Engineering for Extreme
   Events in collaboration with the Sustainable Cities and Coasts Theme,
   the CSIRO Climate Adaptation Flagship. Comments from Dr Paraic Ryan and
   Dr Chaminda Konthesingha are greatly appreciated.
CR AGO (Australian Greenhouse Office), 2007, ASS NEED AD BUILD UN
   [Anonymous], MAINTENANCE SAFETY A
   [Anonymous], AUSTR REG
   [Anonymous], 2011, PLAYBOY
   [Anonymous], ALL STREET J 1102
   [Anonymous], 2003, 21 SESS IPCC VIENN A, DOI DOI 10.4324/9781315270326-109
   [Anonymous], 2000, EMISSIONS SCENARIOS
   [Anonymous], THAM EST 2100 MAN FL
   [Anonymous], SAFETY RELIABILITY R
   [Anonymous], UTILISING CATASTROPH
   [Anonymous], P 2008 AUSTR EARTHQ
   [Anonymous], PLANNING BUILDING IN
   [Anonymous], MITIG ADAPT STRATEG
   [Anonymous], 20062036 DOP NSW GOV
   [Anonymous], INDIRECT COST BENEFI
   [Anonymous], NATURAL HAZ IN PRESS
   [Anonymous], ROL REG FAC CONSTR A
   [Anonymous], 2001, 103 BTE
   [Anonymous], STRUCTURE I IN PRESS
   [Anonymous], 2011, Risk Assessment of Climate Adaptation Strategies for Extreme Wind Events in Queensland
   [Anonymous], 2008, ASS IMP CLIM CHANG A
   [Anonymous], J AM PHYS SURG
   [Anonymous], 2010, Economics of Adaptation to Climate Change - Synthesis Report
   [Anonymous], WHAT DO CLIMATE CHAN
   [Anonymous], HYDROLOGICAL RES LET
   [Anonymous], 2007, NAT SEC THREAT CLIM
   [Anonymous], BEST PRACT REG HDB
   [Anonymous], IMP NAT DIS FRAM LOS
   [Anonymous], CLIM CHANG AUSTR TEC
   [Anonymous], AS40552012
   [Anonymous], 2010, GOLD COAST
   [Anonymous], 2 J COOK U
   [Anonymous], MITIGATION IN PRESS
   [Anonymous], INFR CLIM CHANG RISK
   [Anonymous], THE UNIVERSITY OF CH
   [Anonymous], CLIMATE CHANGE NATL
   [Anonymous], OUTL INFR AUSTR PRIO
   [Anonymous], ASNZS11702
   [Anonymous], 2012, URBAN ADAPTATION CLI
   [Anonymous], CLIMATE CHANGE
   Bastidas-Arteaga E, 2010, STRUCT SAF, V32, P238, DOI 10.1016/j.strusafe.2010.03.002
   Bastidas-Arteaga E., 2013, 11 INT C STRUCT SAF
   Bastidas-Arteaga E, 2013, ENG STRUCT, V51, P259, DOI 10.1016/j.engstruct.2013.01.006
   Bjarnadottir S, 2011, NAT HAZARDS, V59, P1055, DOI 10.1007/s11069-011-9817-5
   Bjarnadottir S, 2011, STRUCT SAF, V33, P173, DOI 10.1016/j.strusafe.2011.02.003
   Boardman AE, 2011, J BENEFIT-COST ANAL, V2, DOI 10.2202/2152-2812.1050
   Botzen WJW, 2013, MITIG ADAPT STRAT GL, V18, P229, DOI 10.1007/s11027-012-9359-5
   Crompton RP, 2008, ENVIRON SCI POLICY, V11, P371, DOI 10.1016/j.envsci.2008.01.005
   Dasgupta P, 2008, J RISK UNCERTAINTY, V37, P141, DOI 10.1007/s11166-008-9049-6
   Ellingwood BR, 2007, EARTHQ ENG STRUCT D, V36, P1935, DOI 10.1002/eqe.693
   Ellingwood BR, 2006, J PERFORM CONSTR FAC, V20, P315, DOI 10.1061/(ASCE)0887-3828(2006)20:4(315)
   Faber MH, 2003, RELIAB ENG SYST SAFE, V80, P173, DOI 10.1016/S0951-8320(03)00027-9
   Garnaut R., 2008, GARNAUT CLIMATE CHAN
   Greenberg MR, 2007, RISK ANAL, V27, P83, DOI 10.1111/j.1539-6924.2006.00861.x
   Hall JW, 2012, NAT CLIM CHANGE, V2, P833, DOI 10.1038/nclimate1749
   Hallegatte S, 2008, RISK ANAL, V28, P779, DOI 10.1111/j.1539-6924.2008.01046.x
   Hardaker JB, 2009, AUST J PUBL ADMIN, V68, P256, DOI 10.1111/j.1467-8500.2009.00638.x
   Henderson DJ, 2007, WIND STRUCT, V10, P269, DOI 10.12989/was.2007.10.3.269
   Hinkel J, 2010, MITIG ADAPT STRAT GL, V15, P703, DOI 10.1007/s11027-010-9237-y
   Holden R, 2013, SAFETY SCI, V53, P51, DOI 10.1016/j.ssci.2012.08.013
   Lal PN, 2011, CLIMATE CHANGE ADAPT
   Li Y, 2011, NAT HAZARDS REV, V12, P9, DOI 10.1061/(ASCE)NH.1527-6996.0000024
   Lomborg B., 2009, Global Crises, Global Solutions
   Mason M., 2012, ANAL DAMAGE BUILDING
   Mehta PK, 2004, PROCEEDINGS OF THE INTERNATIONAL WORKSHOP ON SUSTAINABLE DEVELOPMENT AND CONCRETE TECHNOLOGY, P3
   Mendelsohn R., 2006, REGULATION, V29, P42
   Mueller John., 2011, Terror, Security, and Money: Balancing the Risks, Benefits, and Costs of Homeland Security
   Nguyen MN, 2013, CORROS ENG SCI TECHN, V48, P359, DOI 10.1179/1743278213Y.0000000087
   Nordhaus WD, 2007, J ECON LIT, V45, P686, DOI 10.1257/jel.45.3.686
   OMB, 1992, A94 OMB
   Paté-Cornell E, 2002, RISK ANAL, V22, P633, DOI 10.1111/0272-4332.00043
   Peters GP, 2013, NAT CLIM CHANGE, V3, P4, DOI 10.1038/nclimate1783
   Rose Adam., 2004, Modeling the Spatial Economic Impacts of Natural Hazards, P13, DOI DOI 10.1007/978-3-540-24787-6_2
   Solomon S., 2007, CONTRIBUTION WORKING, P104
   Stern N, 2008, AM ECON REV, V98, P1, DOI 10.1257/aer.98.2.1
   Stewart M., 2013, CAEx Report 1/2013
   Stewart M.G., 2010, Int. J. Eng. Under Uncertainty, V2, P35
   Stewart M.G., 2011, International Journal of Risk Assessment and Management, V15, P367, DOI [10.1504/IJRAM.2011.043690, DOI 10.1504/IJRAM.2011.043690]
   Stewart M.G., 1997, Probabilistic Risk Assessment of Engineering Systems
   Stewart MG, 2012, STRUCT SAF, V35, P29, DOI 10.1016/j.strusafe.2011.10.002
   Stewart MG, 2011, ENG STRUCT, V33, P1326, DOI 10.1016/j.engstruct.2011.01.010
   SUNSTEIN CASSR., 2002, The Cost-Benefit State: The Future of Regulatory Protection
   United Kingdom Department for Environment Food and Rural Affairs, 2012, UK CLIM CHANG RISK A
   Walker G, 2010, AUST J STRUCT ENG, V11, P283, DOI 10.1080/13287982.2010.11465073
   Wang CH, 2013, NAT HAZARDS, V67, P549, DOI 10.1007/s11069-013-0582-5
   Wang CH, 2012, CLIMATIC CHANGE, V115, P777, DOI 10.1007/s10584-012-0454-0
   Wang XM, 2012, CLIMATIC CHANGE, V110, P941, DOI 10.1007/s10584-011-0124-7
   Wehner M, 2010, IOP C SER EARTH ENV, V11, DOI 10.1088/1755-1315/11/1/012017
   Wigley TML, 1996, NATURE, V379, P240, DOI 10.1038/379240a0
   Worrell E, 2001, ANNU REV ENERG ENV, V26, P303, DOI 10.1146/annurev.energy.26.1.303
NR 90
TC 1
Z9 1
U1 2
U2 9
PU CRC PRESS-TAYLOR & FRANCIS GROUP
PI BOCA RATON
PA 6000 BROKEN SOUND PARKWAY NW, STE 300, BOCA RATON, FL 33487-2742 USA
BN 978-1-315-76180-0; 978-1-138-00120-6
PY 2015
BP 89
EP 108
PG 20
WC Engineering, Civil
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Engineering
GA BF2XY
UT WOS:000380508800007
DA 2025-01-10
ER

PT J
AU O'Leary, CA
   Thorson, JT
   Ianelli, JN
   Kotwicki, S
AF O'Leary, Cecilia A.
   Thorson, James T.
   Ianelli, James N.
   Kotwicki, Stan
TI Adapting to climate-driven distribution shifts using model-based indices
   and age composition from multiple surveys in the walleye pollock
   (<i>Gadus chalcogrammus</i>) stock assessment
SO FISHERIES OCEANOGRAPHY
LA English
DT Article
DE Bering Sea; climate adaption; cold pool extent; index standardization;
   VAST; vector autoregressive spatio-temporal model; walleye pollock
ID FLOUNDER PARALICHTHYS-DENTATUS; SPECIES DISTRIBUTION MODELS;
   DENSITY-DEPENDENT FACTORS; BERING-SEA; BOTTOM-TRAWL; AUTOMATIC
   DIFFERENTIATION; SPATIOTEMPORAL DYNAMICS; THERAGRA-CHALCOGRAMMA;
   POPULATION-DYNAMICS; SHELF
AB The northern Bering Sea is transitioning from an Arctic to subarctic fish community as climate warms. Scientists and managers aim to understand how these changing conditions are influencing fish biomass and spatial distribution in this region, as both are used to inform stock assessments and fisheries management advice. Here, we use a spatio-temporal model for walleye pollock (Gadus chalcogrammus) to provide two inputs to its stock assessment model: (a) an alternative model-based biomass index and (b) alternative model-based age compositions. Both inputs were derived from multiple fishery-independent data that span different regions of space and time. We developed an assessment model that utilizes both the standard and model-based inputs from multiple surveys despite inconsistencies in spatial and temporal coverage, and we found that using these data provide an improved spatial and temporal scope of total pollock biomass. Age composition information indicated that pollock density is increasing and moving farther north, particularly for older pollock. We found that including an index of cold pool extent could be used to extrapolate pollock densities in the northern Bering Sea in unsampled years. Stock assessment parameter estimates were similar for standard and model-based input. This study demonstrates that spatio-temporal model-based estimates of a biomass index and age composition can facilitate rapid changes in stock assessment structure in response to climate-driven shifts in spatial distribution. We conclude that assimilating data from regions neighboring standard survey areas, such as the Chukchi Sea and western Bering Sea, would improve understanding and management efforts as fish distributions change under a warming climate.
C1 [O'Leary, Cecilia A.; Kotwicki, Stan] NOAA, Resource Assessment & Conservat Engn Div, Alaska Fisheries Sci Ctr, Seattle, WA 98115 USA.
   [O'Leary, Cecilia A.] Univ Washington, Sch Aquat & Fishery Sci, Seattle, WA 98195 USA.
   [Thorson, James T.] NOAA, Habitat & Ecol Proc Res Program, Alaska Fisheries Sci Ctr, Seattle, WA 98115 USA.
   [Ianelli, James N.] NOAA, Resource Ecol & Fisheries Management Div, Alaska Fisheries Sci Ctr, Seattle, WA 98115 USA.
C3 National Oceanic Atmospheric Admin (NOAA) - USA; University of
   Washington; University of Washington Seattle; National Oceanic
   Atmospheric Admin (NOAA) - USA; National Oceanic Atmospheric Admin
   (NOAA) - USA
RP O'Leary, CA (corresponding author), NOAA, Resource Assessment & Conservat Engn Div, Alaska Fisheries Sci Ctr, Seattle, WA 98115 USA.
EM cecilia.oleary@noaa.gov
RI O'Leary, Cecilia/M-4154-2019; Kotwicki, Stan/C-3599-2009; Thorson,
   James/O-7937-2014
OI Thorson, James/0000-0001-7415-1010
FU North Pacific Research Board grant [1805]
FX C. O'Leary was partially supported by the North Pacific Research Board
   grant #1805.
CR AKAIKE H, 1974, IEEE T AUTOMAT CONTR, VAC19, P716, DOI 10.1109/TAC.1974.1100705
   ALVERSON DL, 1969, J FISH RES BOARD CAN, V26, P1985, DOI 10.1139/f69-188
   [Anonymous], 2014, STATUS PACIFIC HAKE
   [Anonymous], 2018, The United States of America
   Audzijonyte A, 2016, FISH FISH, V17, P1005, DOI 10.1111/faf.12156
   Audzijonyte A, 2013, BIOL LETTERS, V9, DOI 10.1098/rsbl.2012.1103
   Aydin K, 2007, DEEP-SEA RES PT II, V54, P2501, DOI 10.1016/j.dsr2.2007.08.022
   Banerjee S, 2008, J R STAT SOC B, V70, P825, DOI 10.1111/j.1467-9868.2008.00663.x
   Berg CW, 2012, FISH RES, V129, P119, DOI 10.1016/j.fishres.2012.06.016
   Bivand RS, 2015, J STAT SOFTW, V63, P1
   Brodie SJ, 2020, ECOGRAPHY, V43, P11, DOI 10.1111/ecog.04707
   Ciannelli L, 2008, J MARINE SYST, V71, P223, DOI 10.1016/j.jmarsys.2007.02.031
   Ciannelli L, 2005, MAR ECOL PROG SER, V291, P227, DOI 10.3354/meps291227
   Cunningham C. J., 2018, ASSESSMENT NO ROCKFI
   Edwards M, 2004, NATURE, V430, P881, DOI 10.1038/nature02808
   Engelhard GH, 2014, GLOBAL CHANGE BIOL, V20, P2473, DOI 10.1111/gcb.12513
   Fenske K. H., 2018, ASSESSMENT DUSKY ROC
   Fournier DA, 2012, OPTIM METHOD SOFTW, V27, P233, DOI 10.1080/10556788.2011.597854
   Fridriksson A., 1934, Rapports et proce s-verbaux des re unions, V6, P1
   Furuichi S, 2020, MAR ECOL PROG SER, V633, P157, DOI 10.3354/meps13169
   Garrison LP, 2010, ICES J MAR SCI, V67, P856, DOI 10.1093/icesjms/fsq005
   Gratwicke B, 2006, ENVIRON BIOL FISH, V76, P191, DOI 10.1007/s10641-006-9021-8
   Grebmeier JM, 2006, SCIENCE, V311, P1461, DOI 10.1126/science.1121365
   GUDMUNDSSON G, 1994, J R STAT SOC C-APPL, V43, P117
   Holsman KK, 2019, ICES J MAR SCI, V76, P1368, DOI 10.1093/icesjms/fsz031
   Hunt GL, 2002, DEEP-SEA RES PT II, V49, P5821, DOI 10.1016/S0967-0645(02)00321-1
   Ianelli J., 2019, STOCK ASSESSMENT FIS, P169
   Johnson KF, 2015, ICES J MAR SCI, V72, P137, DOI 10.1093/icesjms/fsu055
   Kleisner KM, 2017, PROG OCEANOGR, V153, P24, DOI 10.1016/j.pocean.2017.04.001
   Kotwicki S, 2005, FISH B-NOAA, V103, P574
   Kotwicki S, 2014, ICES J MAR SCI, V71, P1107, DOI 10.1093/icesjms/fst208
   Kotwicki S, 2013, DEEP-SEA RES PT II, V94, P231, DOI 10.1016/j.dsr2.2013.03.017
   Kotwicki S, 2009, CAN J FISH AQUAT SCI, V66, P983, DOI 10.1139/F09-055
   Kristensen K, 2016, J STAT SOFTW, V70, P1
   Latimer AM, 2009, ECOL LETT, V12, P144, DOI 10.1111/j.1461-0248.2008.01270.x
   Lauth R.R., 2019, NOAA Technical Memorandum NMFS-AFSC, V396, pI
   Lindgren F., 2012, ISBA Bull., V19, P14
   Lindgren F, 2011, J ROY STAT SOC B, V73, P423, DOI 10.1111/j.1467-9868.2011.00777.x
   Lunsford C. R., 2015, STOCK ASSESSMENT FIS, P1013
   Mangel M, 2010, FISH FISH, V11, P89, DOI 10.1111/j.1467-2979.2009.00345.x
   Molinos JG, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-01309-y
   Newman D, 2015, FISH RES, V164, P86, DOI 10.1016/j.fishres.2014.10.018
   Nottestad L, 1999, CAN J FISH AQUAT SCI, V56, P26, DOI 10.1139/cjfas-56-S1-26
   Nye JA, 2009, MAR ECOL PROG SER, V393, P111, DOI 10.3354/meps08220
   O'Leary CA, 2019, CAN J FISH AQUAT SCI, V76, P1275, DOI 10.1139/cjfas-2018-0092
   Overland J.E., 2004, EOS T AM GEOPHYS UN, V85, P309, DOI DOI 10.1029/2004E0330001
   Perretti CT, 2019, FISH RES, V215, P62, DOI 10.1016/j.fishres.2019.03.006
   Pinsky ML, 2013, SCIENCE, V341, P1239, DOI 10.1126/science.1239352
   Pörtner HO, 2007, SCIENCE, V315, P95, DOI 10.1126/science.1135471
   Punt AE, 2003, CAN J FISH AQUAT SCI, V60, P1217, DOI 10.1139/F03-105
   Schmidt JO, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00550
   SCHUMACHER JD, 1983, J GEOPHYS RES-OCEANS, V88, P2723, DOI 10.1029/JC088iC05p02723
   Spencer PD, 2008, FISH OCEANOGR, V17, P396, DOI 10.1111/j.1365-2419.2008.00486.x
   Stabeno PJ, 2007, DEEP-SEA RES PT II, V54, P2599, DOI 10.1016/j.dsr2.2007.08.023
   Stabeno PJ, 2012, DEEP-SEA RES PT II, V65-70, P31, DOI 10.1016/j.dsr2.2012.02.020
   Stabeno PJ, 2001, FISH OCEANOGR, V10, P81, DOI 10.1046/j.1365-2419.2001.00157.x
   Stauffer G., 2004, NMFSFSPO65 NOAA US D, P205
   Stevenson DE, 2019, POLAR BIOL, V42, P407, DOI 10.1007/s00300-018-2431-1
   Thoman R., 2019, ALASKAS CHANGING ENV
   Thorson J.T. Wetzel., 2015, STATUS CANARY ROCKFI
   Thorson JT, 2019, LIMNOL OCEANOGR, V64, P2632, DOI 10.1002/lno.11238
   Thorson JT, 2019, CAN J FISH AQUAT SCI, V76, P401, DOI 10.1139/cjfas-2018-0015
   Thorson JT, 2019, FISH RES, V210, P143, DOI 10.1016/j.fishres.2018.10.013
   Thorson JT, 2018, CAN J FISH AQUAT SCI, V75, P1369, DOI 10.1139/cjfas-2017-0266
   Thorson JT, 2017, FISH FISH, V18, P1073, DOI 10.1111/faf.12225
   Thorson JT, 2017, ICES J MAR SCI, V74, P1311, DOI 10.1093/icesjms/fsw193
   Thorson JT, 2016, GLOBAL ECOL BIOGEOGR, V25, P1144, DOI 10.1111/geb.12464
   Thorson JT, 2016, METHODS ECOL EVOL, V7, P990, DOI 10.1111/2041-210X.12567
   Thorson JT, 2016, FISH RES, V175, P66, DOI 10.1016/j.fishres.2015.11.016
   Thorson JT, 2015, ICES J MAR SCI, V72, P1297, DOI 10.1093/icesjms/fsu243
   Tommasi D, 2017, PROG OCEANOGR, V152, P15, DOI 10.1016/j.pocean.2016.12.011
   Torre Michael P., 2019, Journal of Northwest Atlantic Fishery Science, V50, P37, DOI 10.2960/J.v50.m721
   Wang T, 2006, INT J CLIMATOL, V26, P383, DOI 10.1002/joc.1247
   Wyllie-Echeverria T, 1998, FISH OCEANOGR, V7, P159, DOI 10.1046/j.1365-2419.1998.00058.x
   Xu HK, 2018, FISH OCEANOGR, V27, P85, DOI 10.1111/fog.12236
NR 75
TC 37
Z9 40
U1 2
U2 21
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1054-6006
EI 1365-2419
J9 FISH OCEANOGR
JI Fish Oceanogr.
PD NOV
PY 2020
VL 29
IS 6
BP 541
EP 557
DI 10.1111/fog.12494
EA AUG 2020
PG 17
WC Fisheries; Oceanography
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Fisheries; Oceanography
GA NW3WB
UT WOS:000561797800001
DA 2025-01-10
ER

PT J
AU Van Daele, F
   Honnay, O
   Janssens, S
   De Kort, H
AF Van Daele, Frederik
   Honnay, Olivier
   Janssens, Steven
   De Kort, Hanne
TI Habitat fragmentation affects climate adaptation in a forest herb
SO JOURNAL OF ECOLOGY
LA English
DT Article
DE climate adaptation; climate change; common garden; drought stress;
   habitat fragmentation; local adaptation; mating systems; phenotypic
   plasticity; plant conservation; plant traits
ID POSTGLACIAL DISPERSAL LIMITATION; PRIMULA-ELATIOR; REPRODUCTIVE SUCCESS;
   FLOWERING PHENOLOGY; INFANTILE CATARACT; CHILDHOOD CATARACT; POTENTIAL
   IMPACT; PATCH OCCUPANCY; PLANT-RESPONSES; EVOLUTIONARY
AB Climate change and the resulting increased drought frequencies pose considerable threats to forest herb populations, particularly where additional environmental challenges jeopardize responses to selection. Specifically, habitat fragmentation may hamper climate adaptation by altering the distribution of adaptive genetic variation and may also induce evolutionary changes in mating systems.To assess how habitat fragmentation disrupts climate adaptation, we conducted a common garden experiment with Primula elatior offspring originating from 24 populations sampled along a latitudinal gradient with varying climate and landscape characteristics. We then quantified a range of vegetative, regulatory and reproductive traits under distinct soil moisture regimes to evaluate imprints of local adaptation and phenotypic plasticity. Additionally, we conducted a more extensive field campaign in 60 populations along the same latitudinal gradient to evaluate the potential evolutionary breakdown of reciprocal herkogamy.For large, connected populations, our results demonstrated an evolutionary shift from a strategy in southern populations that seems aligned with drought avoidance-where plants minimize their exposure to dry conditions and optimize photosynthesis-to a drought tolerance strategy in northern populations, where plants are adapted to function despite water scarcity. However, habitat fragmentation disrupted climate clines and the adaptive responses to drought stress in key traits related to growth, biomass allocation and water regulation. Additionally, our findings indicate the onset of evolutionary breakdown in reciprocal herkogamy and divergence in other key flower traits. The disruption of climate clines, drought responses and adaptations in mating systems contributed to a substantially diminished flowering investment across the distribution range, with the most pronounced effects observed in southern fragmented populations.Synthesis. We present novel empirical evidence of how habitat fragmentation disrupts climate adaptation and drought tolerance in a wide range of traits along the range of the forest herb Primula elatior. These findings emphasize the need to account for habitat fragmentation while designing effective conservation strategies in order to preserve and restore resilient meta-populations of forest herbs amidst ongoing global changes.
   The authors present novel empirical evidence of how habitat fragmentation disrupts climate adaptation, drought tolerance, and the mating system in an extensive set of traits along the range of the forest herb Primula elatior. These findings emphasize the need to account for habitat fragmentation while designing effective conservation strategies in order to preserve and restore resilient meta-populations of forest herbs amidst ongoing global changes.image
C1 [Van Daele, Frederik; Honnay, Olivier; De Kort, Hanne] Katholieke Univ Leuven, Dept Biol, Leuven, Belgium.
   [Van Daele, Frederik; Honnay, Olivier; Janssens, Steven; De Kort, Hanne] Katholieke Univ Leuven, Leuven Plant Inst, Leuven, Belgium.
   [Janssens, Steven] Meise Bot Garden, Meise, Belgium.
C3 KU Leuven; KU Leuven
RP Van Daele, F (corresponding author), Katholieke Univ Leuven, Dept Biol, Leuven, Belgium.; Van Daele, F (corresponding author), Katholieke Univ Leuven, Leuven Plant Inst, Leuven, Belgium.
EM frederik.vandaele@kuleuven.be
RI Van Daele, Frederik/L-9450-2019; Honnay, Olivier/AAH-8625-2019
OI Van Daele, Frederik/0000-0001-5827-722X; Honnay,
   Olivier/0000-0002-4287-8511
FU Fonds Wetenschappelijk Onderzoek [G091419N]; Flemish Research Foundation
FX This research was funded by the Flemish Research Foundation (FWO project
   G091419N). We would like to thank Kasper Van Acker, Jonas Lequeu, Lander
   Storms, Olivia De Paepe, Niels Duym, Emily Kirsch, Gilles Breugelmans,
   Jarne Melis, Katlijne Nachtergaele and Lotte Simons for practical
   support. Furthermore, we would like to thank TRANSfarm and Meise Botanic
   Garden for the use of facilities. Finally, we would like to thank Prof.
   Francis Wyffels for useful comments regarding the training of the neural
   networks for the detection of stomata and glandular trichomes. The
   collection of seeds and flowers was authorized, in compliance with the
   Nagoya Protocol on Access and Benefit-sharing, under the permit number
   NOR: TREL1902817S/128.
CR Abadi Martin, 2015, TensorFlow: Large-scale machine learning on heterogeneous systems
   Aguilar R, 2008, MOL ECOL, V17, P5177, DOI 10.1111/j.1365-294X.2008.03971.x
   Aguilar R, 2006, ECOL LETT, V9, P968, DOI 10.1111/j.1461-0248.2006.00927.x
   Aiken L. S., 1991, Multiple Regression: Testing and Interpreting Interactions
   Andersson S, 2012, AM J BOT, V99, P1388, DOI 10.3732/ajb.1200116
   [Anonymous], 1999, Technical Manual TM-002
   Armbruster WS, 2002, J EVOLUTION BIOL, V15, P468, DOI 10.1046/j.1420-9101.2002.00399.x
   Baeten L, 2015, PLANT ECOL EVOL, V148, P283, DOI 10.5091/plecevo.2015.1089
   Barrett SCH, 2019, NEW PHYTOL, V224, P1051, DOI 10.1111/nph.16026
   Baskin CC, 2014, SEEDS: ECOLOGY, BIOGEOGRAPHY, AND EVOLUTION OF DORMANCY AND GERMINATION, 2ND EDITION, P1, DOI 10.1016/B978-0-12-416677-6.00001-9
   Baskin JM, 2004, SEED SCI RES, V14, P1, DOI 10.1079/SSR2003150
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Bawa K. S., 2011, AM J BOT, V66, P1988, DOI [10.1111/j.1558-5646.2011.01505.x, DOI 10.1111/J.1558-5646.2011.01505.X]
   Becklin KM, 2016, PLANT PHYSIOL, V172, P635, DOI 10.1104/pp.16.00793
   Bender DJ, 2003, LANDSCAPE ECOL, V18, P17, DOI 10.1023/A:1022937226820
   Bewley JD., 2013, Seeds: Physiology of Development, Germination and Dormancy, V3rd, P247, DOI [10.1007/978-1-4614-4693-4_6, DOI 10.1007/978-1-4614-4693-4_6, DOI 10.1007/978-1-4614-4693-46]
   Blanquart F, 2013, ECOL LETT, V16, P1195, DOI 10.1111/ele.12150
   Blondeel H, 2020, GLOBAL CHANGE BIOL, V26, P1681, DOI 10.1111/gcb.14955
   Bonte D, 2012, BIOL REV, V87, P290, DOI 10.1111/j.1469-185X.2011.00201.x
   Brys R, 2015, ANN BOT-LONDON, V115, P27, DOI 10.1093/aob/mcu211
   Bucher SF, 2018, ECOL EVOL, V8, P1147, DOI 10.1002/ece3.3720
   Cain ML, 1998, ECOL MONOGR, V68, P325, DOI 10.1890/0012-9615(1998)068[0325:SDATHM]2.0.CO;2
   Chan WH, 2012, EUR J PEDIATR, V171, P625, DOI 10.1007/s00431-012-1700-1
   Chaves MM, 2003, FUNCT PLANT BIOL, V30, P239, DOI 10.1071/FP02076
   Cheddadi R, 2006, GLOBAL ECOL BIOGEOGR, V15, P271, DOI [10.1111/j.1466-822x.2006.00226.x, 10.1111/j.1466-822X.2006.00226.x]
   Cheptou PO, 2017, PHILOS T R SOC B, V372, DOI 10.1098/rstb.2016.0037
   Chittka Lars, 2004, P165
   Chollet F., 2015, KERAS
   Cleland EE, 2007, TRENDS ECOL EVOL, V22, P357, DOI 10.1016/j.tree.2007.04.003
   Colombo PS, 2017, PHYTOCHEMISTRY, V143, P132, DOI 10.1016/j.phytochem.2017.07.005
   Copernicus Land Monitoring Service, 2018, FOREST TYPE
   Cote J, 2017, ECOGRAPHY, V40, P56, DOI 10.1111/ecog.02538
   Dawson JF, 2006, J APPL PSYCHOL, V91, P917, DOI 10.1037/0021-9010.91.4.917
   De Frenne P, 2013, J ECOL, V101, P784, DOI 10.1111/1365-2745.12074
   De Frenne P, 2012, ANN BOT-LONDON, V109, P1037, DOI 10.1093/aob/mcs015
   De Frenne P, 2011, GLOBAL CHANGE BIOL, V17, P3240, DOI 10.1111/j.1365-2486.2011.02449.x
   De Kort H, 2020, J ECOL, V108, P1465, DOI 10.1111/1365-2745.13365
   de Witte LC, 2010, ANN BOT-LONDON, V106, P859, DOI 10.1093/aob/mcq191
   Del Pizzo J, 2011, PEDIATR REV, V32, P537, DOI 10.1542/pir.32-12-537
   Dickinson H. G., 1990, SELF INCOMPATIBILITY, V12, DOI [10.1002/bies.950120403, DOI 10.1002/BIES.950120403]
   Dubois J, 2017, PHILOS T R SOC B, V372, DOI 10.1098/rstb.2016.0038
   Ehrlén J, 2000, ECOLOGY, V81, P1667, DOI 10.1890/0012-9658(2000)081[1667:DLAPOI]2.0.CO;2
   Encinas-Viso F, 2020, J EVOLUTION BIOL, V33, P1235, DOI 10.1111/jeb.13665
   Eriksson O., 2001, LANDSCAPE FRAGMENTAT
   Etterson JR, 2001, SCIENCE, V294, P151, DOI 10.1126/science.1063656
   Excoffier L, 2009, ANNU REV ECOL EVOL S, V40, P481, DOI 10.1146/annurev.ecolsys.39.110707.173414
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   Finch-Savage WE, 2006, NEW PHYTOL, V171, P501, DOI 10.1111/j.1469-8137.2006.01787.x
   Flanders Research Foundation, 2022, FLEM SUP CTR
   Flynn DFB, 2018, NEW PHYTOL, V219, P1353, DOI 10.1111/nph.15232
   Franks SJ, 2014, EVOL APPL, V7, P123, DOI 10.1111/eva.12112
   Ganuza C, 2022, SCI ADV, V8, DOI 10.1126/sciadv.abm9359
   Gillespie RL, 2014, OPHTHALMOLOGY, V121, P2124, DOI 10.1016/j.ophtha.2014.06.006
   Gómez-Martínez C, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-67447-y
   GOWER JC, 1971, BIOMETRICS, V27, P857, DOI 10.2307/2528823
   Graae BJ, 2009, ECOSCIENCE, V16, P248, DOI 10.2980/16-2-3234
   Gumbert A, 2000, BEHAV ECOL SOCIOBIOL, V48, P36, DOI 10.1007/s002650000213
   GUSTAFSON EJ, 1994, LANDSCAPE URBAN PLAN, V29, P117, DOI 10.1016/0169-2046(94)90022-1
   Harper KA, 2005, CONSERV BIOL, V19, P768, DOI 10.1111/j.1523-1739.2005.00045.x
   He HS, 2001, LANDSCAPE ECOL, V16, P87
   Hegland SJ, 2009, ECOL LETT, V12, P184, DOI 10.1111/j.1461-0248.2008.01269.x
   Herlihy CR, 2007, EVOLUTION, V61, P1661, DOI 10.1111/j.1558-5646.2007.00137.x
   Hermy M, 1999, BIOL CONSERV, V91, P9, DOI 10.1016/S0006-3207(99)00045-2
   Hesselbarth MHK, 2019, ECOGRAPHY, V42, P1648, DOI 10.1111/ecog.04617
   Hewitt GM, 1999, BIOL J LINN SOC, V68, P87, DOI 10.1111/j.1095-8312.1999.tb01160.x
   Hofmeister J, 2019, FOREST ECOL MANAG, V448, P48, DOI 10.1016/j.foreco.2019.05.069
   Holmes JM, 2003, OPHTHAL EPIDEMIOL, V10, P67, DOI 10.1076/opep.10.2.67.13894
   Honnay O, 2002, ECOL LETT, V5, P525, DOI 10.1046/j.1461-0248.2002.00346.x
   Jacquemyn H, 2002, OECOLOGIA, V130, P617, DOI 10.1007/s00442-001-0833-0
   Jacquemyn H, 2012, J ECOL, V100, P76, DOI 10.1111/j.1365-2745.2011.01919.x
   Jaeger JAG, 2000, LANDSCAPE ECOL, V15, P115, DOI 10.1023/A:1008129329289
   Jump AS, 2005, ECOL LETT, V8, P1010, DOI 10.1111/j.1461-0248.2005.00796.x
   Karlsson PS., 2005, REPROD ALLOCATION PL
   Katabuchi M, 2015, ECOL RES, V30, P1073, DOI 10.1007/s11284-015-1307-x
   Kawecki TJ, 2004, ECOL LETT, V7, P1225, DOI 10.1111/j.1461-0248.2004.00684.x
   KEITT TH, 1997, CONSERV ECOL, V1, DOI [DOI 10.5751/ES-00015-010104, 10.5751/ES-00015-010104]
   Keller B, 2014, FUNCT ECOL, V28, P1413, DOI 10.1111/1365-2435.12274
   Kessel L, 2021, OPHTHALMIC GENET, V42, P650, DOI 10.1080/13816810.2021.1941128
   Kolb A, 2006, PLANT ECOL, V185, P209, DOI 10.1007/s11258-005-9096-x
   Kooyers NJ, 2015, PLANT SCI, V234, P155, DOI 10.1016/j.plantsci.2015.02.012
   Koski MH, 2019, EVOL LETT, V3, P500, DOI 10.1002/evl3.136
   Koski MH, 2014, FUNCT ECOL, V28, P868, DOI 10.1111/1365-2435.12242
   Koski MH, 2013, INT J PLANT SCI, V174, P1109, DOI 10.1086/671803
   Kudo G, 2008, ECOLOGY, V89, P321, DOI 10.1890/06-2131.1
   Kwak MM, 1998, APPL VEG SCI, V1, P37, DOI 10.2307/1479084
   Lai JS, 2022, METHODS ECOL EVOL, V13, P782, DOI 10.1111/2041-210X.13800
   Ldecke D., 2021, J OPEN SOURCE SOFTW, V6, P3139, DOI [10.21105/joss.03139, DOI 10.21105/JOSS.03139]
   Leimu R, 2010, ANN NY ACAD SCI, V1195, P84, DOI 10.1111/j.1749-6632.2010.05450.x
   Leimu R, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0004010
   Lemke IH, 2015, PLANT ECOL, V216, P1523, DOI 10.1007/s11258-015-0534-0
   Lenassi E, 2020, GENET MED, V22, P745, DOI 10.1038/s41436-019-0722-8
   Lendzion J, 2009, CAN J FOREST RES, V39, P2332, DOI 10.1139/X09-143
   Lienert Judit, 2004, Journal for Nature Conservation (Jena), V12, P53, DOI 10.1016/j.jnc.2003.07.002
   Liu CC, 2018, FUNCT ECOL, V32, P20, DOI 10.1111/1365-2435.12973
   Liu WS, 2020, ECOL EVOL, V10, P8166, DOI 10.1002/ece3.6519
   Lortie CJ, 2022, J ECOL, V110, P1015, DOI 10.1111/1365-2745.13664
   Lu B, 2016, EXP THER MED, V12, P1159, DOI 10.3892/etm.2016.3348
   Maechler M., 2019, cluster: Cluster Analysis Basics and Extensions. R package version 2.1.0
   McCarthy MC, 2007, FUNCT ECOL, V21, P713, DOI 10.1111/j.1365-2435.2007.01276.x
   Meeus S, 2020, ECOL EVOL, V10, P9178, DOI 10.1002/ece3.6571
   Memmott J, 2007, ECOL LETT, V10, P710, DOI 10.1111/j.1461-0248.2007.01061.x
   Mitchell RJ, 2008, NEW PHYTOL, V177, P576, DOI 10.1111/j.1469-8137.2008.02354.x
   Murtagh F, 2014, J CLASSIF, V31, P274, DOI 10.1007/s00357-014-9161-z
   Musleh M, 2016, EYE, V30, P1175, DOI 10.1038/eye.2016.105
   Nam BE, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-74566-z
   Niewiesk S, 2015, FRONT IMMUNOL, V5, DOI 10.3389/fimmu.2014.00446
   OLIVIERI I, 1995, AM NAT, V146, P202, DOI 10.1086/285795
   Ollerton J, 2017, ANNU REV ECOL EVOL S, V48, P353, DOI 10.1146/annurev-ecolsys-110316-022919
   Opedal OH, 2019, NEW PHYTOL, V221, P1128, DOI 10.1111/nph.15403
   Opedal OH, 2017, EVOLUTION, V71, P1572, DOI 10.1111/evo.13258
   Poorter H, 2009, NEW PHYTOL, V182, P565, DOI 10.1111/j.1469-8137.2009.02830.x
   Poorter H, 2012, NEW PHYTOL, V193, P30, DOI 10.1111/j.1469-8137.2011.03952.x
   Porcher E, 2005, J EVOLUTION BIOL, V18, P497, DOI 10.1111/j.1420-9101.2005.00905.x
   Postma FM, 2022, ANN BOT-LONDON, V129, P795, DOI 10.1093/aob/mcac010
   Qi YL, 2019, GLOB ECOL CONSERV, V18, DOI 10.1016/j.gecco.2019.e00606
   Repka MX, 2016, OPHTHALMOLOGY, V123, P2462, DOI 10.1016/j.ophtha.2016.09.003
   Richardson AD, 2006, GLOBAL CHANGE BIOL, V12, P1174, DOI 10.1111/j.1365-2486.2006.01164.x
   Rosbakh S, 2015, ALPINE BOT, V125, P79, DOI 10.1007/s00035-015-0150-6
   Savolainen O, 2013, NAT REV GENET, V14, P807, DOI 10.1038/nrg3522
   SCHOU O, 1983, BOT J LINN SOC, V86, P261, DOI 10.1111/j.1095-8339.1983.tb00973.x
   Schumaker NH, 1996, ECOLOGY, V77, P1210, DOI 10.2307/2265590
   Sheeladevi S, 2016, EYE, V30, P1160, DOI 10.1038/eye.2016.156
   Skov F, 2004, ECOGRAPHY, V27, P366, DOI 10.1111/j.0906-7590.2004.03823.x
   Strauss S. Y., 2006, Ecology and evolution of flowers, P120
   Svenning JC, 2008, ECOGRAPHY, V31, P316, DOI 10.1111/j.0906-7590.2008.05206.x
   Svenning JC, 2006, BIODIVERS CONSERV, V15, P3341, DOI 10.1007/s10531-005-1345-8
   Taylor K, 2008, J ECOL, V96, P1098, DOI 10.1111/j.1365-2745.2008.01418.x
   Uzelac B., 2012, PLANT CELL TISSUE DI, V23
   Van Daele F., 2023, TRAIT DATA PRIMULA E, DOI [10.5061/dryad.3j9kd51r8, DOI 10.5061/DRYAD.3J9KD51R8]
   Van Daele F, 2022, EVOL APPL, V15, P1859, DOI 10.1111/eva.13485
   Van Daele F, 2021, DIVERS DISTRIB, V27, P1775, DOI 10.1111/ddi.13367
   Van Rossum F, 2008, CONSERV GENET, V9, P119, DOI 10.1007/s10592-007-9314-2
   Verheyen K, 2003, J ECOL, V91, P563, DOI 10.1046/j.1365-2745.2003.00789.x
   Verhoeven Christian, 2018, Journal of Pollination Ecology, V23, P102
   Wang XL, 2014, METHODS ECOL EVOL, V5, P634, DOI 10.1111/2041-210X.12198
   Weathers KC, 2001, CONSERV BIOL, V15, P1506, DOI 10.1046/j.1523-1739.2001.01090.x
   Weber A, 2011, EVOL ECOL, V25, P417, DOI 10.1007/s10682-010-9430-1
   WHALE DM, 1983, OECOLOGIA, V58, P272, DOI 10.1007/BF00399231
   Wickham H., 2009, ggplot2: Elegant Graphics for Data Analysis, DOI [10.1007/978-0-387-98141-3, 10.1007/978-3-319-24277-4]
   Willner W, 2009, ECOGRAPHY, V32, P1011, DOI 10.1111/j.1600-0587.2009.05957.x
   Wilson ME, 2015, PEDIAT CATARACTS OVE
   Xiao Y, 2016, PLANT ECOL, V217, P857, DOI 10.1007/s11258-016-0608-7
   Xu Z, 2008, J EXP BOT, V59, P3317, DOI 10.1093/jxb/ern185
   Zellweger F, 2020, SCIENCE, V368, P772, DOI 10.1126/science.aba6880
   Zhang WW, 2021, FRONT PSYCHOL, V12, DOI 10.3389/fpsyg.2021.689581
NR 145
TC 0
Z9 0
U1 6
U2 30
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0022-0477
EI 1365-2745
J9 J ECOL
JI J. Ecol.
PD FEB
PY 2024
VL 112
IS 2
BP 246
EP 264
DI 10.1111/1365-2745.14225
EA NOV 2023
PG 19
WC Plant Sciences; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences; Environmental Sciences & Ecology
GA HI3V4
UT WOS:001108860200001
OA Green Accepted, Green Submitted
DA 2025-01-10
ER

PT J
AU Monistrol, A
   Vallejo, A
   García-Gutiérrez, S
   Hermoso-Peralo, R
   Montoya, M
   Atencia-Payares, LK
   Aguilera, E
   Guardia, G
AF Monistrol, Alba
   Vallejo, Antonio
   Garcia-Gutierrez, Sandra
   Hermoso-Peralo, Roberto
   Montoya, Monica
   Atencia-Payares, Luz K.
   Aguilera, Eduardo
   Guardia, Guillermo
TI Interaction between burial depth and N source in drip-fertigated maize:
   Agronomic performance and correlation with spectral indices
SO AGRICULTURAL WATER MANAGEMENT
LA English
DT Article
DE Nitrogen use efficiency; NDVI; Crop recovery; Enhanced-efficiency
   fertilizers; Remote sensing
ID NITRIFICATION INHIBITOR DMPP; NITROUS-OXIDE EMISSIONS; VEGETATION
   INDEXES; SOIL-TEMPERATURE; CROP YIELD; ZEA-MAYS; IRRIGATION; CORN;
   WHEAT; GRAIN
AB Increasing drought severity and evaporative demand in Mediterranean areas makes it necessary to implement irrigation systems with high water and nutrient supply efficiency. The combined management of drip irrigation burial depth and different nitrogen (N) sources, thus far unexplored, predicting these effects using proximal and spectral vegetation indices. A 2-year field experiment was conducted comparing maize yield and N uptake from four N fertilization treatments: ammonium sulfate (AS), AS with the nitrification inhibitor DMPP (AS+INH), calcium nitrate (CN) and a control without N fertilization combined with surface or subsurface (30 cm depth) drip fertigation. Multispectral data were collected to calculate various vegetation indices, while the chlorophyll content was measured with a soil plant analysis development (SPAD) sensor in the second year. Subsurface drip and AS+INH increased maize grain yields compared to surface drip and AS-only (by 12 % and 18 %, respectively, P < 0.05). However, this was observed only in the second season, as were increases in grain N content. The results show that the use of CN performed better in surface drip, while the use of NH4+-N-based fertilizers were recommended for subsurface irrigation. Regarding the spectral data, at the flowering-milky kernel and dent kernel phenological stages Normalized Difference Red Edge (NDRE) and the canopy chlorophyll content index (CCCI) were the two vegetation indices that best estimated agronomical parameters and were able to discriminate the phenological differences between irrigation systems. This study highlights the potential for (i) predicting yield and N uptake using proximal and multispectral sensors in drip-fertigated maize and (ii) optimizing crop performance by combining drip burial depth and N source (DMPP combined with subsurface irrigation), with relevant implications for climate change adaptation (i.e., potential improvements in crop phenology and water saving).
C1 [Monistrol, Alba; Vallejo, Antonio; Garcia-Gutierrez, Sandra; Montoya, Monica; Aguilera, Eduardo; Guardia, Guillermo] Univ Politecn Madrid, Dept Quim & Tecnol Alimentos, ETSI Agron Alimentaria & Biosistema, Ciudad Univ S-N, Madrid 28040, Spain.
   [Monistrol, Alba; Vallejo, Antonio; Garcia-Gutierrez, Sandra; Montoya, Monica; Atencia-Payares, Luz K.; Aguilera, Eduardo; Guardia, Guillermo] Ctr Estudios & Invest Riesgos Agr & Medioambiental, Ciudad Univ S-N, Madrid 28040, Spain.
   [Hermoso-Peralo, Roberto; Atencia-Payares, Luz K.] Unmanned Tech Works UTW, Madrid 28919, Spain.
   [Montoya, Monica] Univ Autonoma Madrid, Fac Ciencias, Dept Biol, Campus Cantoblanco, Madrid, Spain.
   [Atencia-Payares, Luz K.] Univ Politecn Madrid, Dept Prod Agr, ETSI Agron Alimentaria & Biosistemas, Ciudad Univ S-N, Madrid 28040, Spain.
C3 Universidad Politecnica de Madrid; Autonomous University of Madrid;
   Universidad Politecnica de Madrid
RP Monistrol, A (corresponding author), Univ Politecn Madrid, Dept Quim & Tecnol Alimentos, ETSI Agron Alimentaria & Biosistema, Ciudad Univ S-N, Madrid 28040, Spain.
EM a.marcas@upm.es
RI Guardia, Guillermo/I-8226-2018; García-Gutiérrez, Sandra/HGC-5115-2022;
   Montoya, Mónica/ABA-7105-2020; Vallejo García, Antonio/K-6823-2014;
   Aguilera, Eduardo/H-4864-2015
OI Monistrol, Alba/0009-0003-1295-3386; Garcia Gutierrez,
   Sandra/0000-0002-4739-9341
FU Agencia Estatal de Investigacion (AEI); Ministerio de Ciencia,
   Innovacion y Universidades; Fondo Europeo de Desarrollo Regional
   [PID2021-125007OB-I00/MCIN/AEI]; MCIN/AEI [PRE2019-087594]; Spanish
   Ministry of Economy and Competitiveness [IJC2019-040699-I]; Fondo Social
   Europeo (FSE) "El FSE invierte en tu futuro"; European Union
   Next-GenerationEU [RD 289/2021]
FX This research was funded by Agencia Estatal de Investigacion (AEI) ,
   Ministerio de Ciencia, Innovacion y Universidades and Fondo Europeo de
   Desarrollo Regional
   (PID2021-125007OB-I00/MCIN/AEI/10.13039/501100011033/FEDER, UE) .
   Eduardo Aguilera is supported by a Juan de la Cierva research contract
   from the Spanish Ministry of Economy and Competitiveness
   (IJC2019-040699-I) . S. Garcia-Gutierrez is a recipient of the FPI grant
   PRE2019-087594 funded by MCIN/AEI/10.13039/501100011033 and Fondo Social
   Europeo (FSE) "El FSE invierte en tu futuro". M. Montoya is a recipient
   of the Margarita Salas grant of the Ministerio de Universidades and
   Universidad Politecnica de Madrid (RD 289/2021) supported by the
   European Union Next-GenerationEU. The authors are grateful to Dr. Mark
   Theobald and Linda Northup for their contribution to the revision of the
   resubmitted version.
CR Abaas E, 2012, SOIL BIOL BIOCHEM, V53, P120, DOI 10.1016/j.soilbio.2012.05.003
   Abalos D, 2014, SCI TOTAL ENVIRON, V490, P880, DOI 10.1016/j.scitotenv.2014.05.065
   Abalos D, 2014, AGR ECOSYST ENVIRON, V189, P136, DOI 10.1016/j.agee.2014.03.036
   Alonso-Ayuso M, 2016, EUR J AGRON, V80, P1, DOI 10.1016/j.eja.2016.06.008
   [Anonymous], 2000, COINCIDENT DETECTION
   Ardenti F, 2022, FIELD CROP RES, V289, DOI 10.1016/j.fcr.2022.108732
   Bacenetti J, 2020, SCI TOTAL ENVIRON, V715, DOI 10.1016/j.scitotenv.2020.136956
   Benckiser G, 2013, PLANT SOIL, V371, P257, DOI 10.1007/s11104-013-1664-6
   Bhuiyan MSI, 2023, SCI TOTAL ENVIRON, V876, DOI 10.1016/j.scitotenv.2023.162712
   Bollero GA, 1996, AGRON J, V88, P385, DOI 10.2134/agronj1996.00021962008800030005x
   Camenzind MP, 2024, FRONT PLANT SCI, V14, DOI 10.3389/fpls.2023.1214931
   Cayuela ML, 2017, AGR ECOSYST ENVIRON, V238, P25, DOI 10.1016/j.agee.2016.10.006
   Colovic M, 2022, AGRONOMY-BASEL, V12, DOI 10.3390/agronomy12092181
   Corrochano-Monsalve M, 2021, SCI TOTAL ENVIRON, V752, DOI 10.1016/j.scitotenv.2020.141885
   Dai XJ, 2023, J SOIL SCI PLANT NUT, V23, P6059, DOI 10.1007/s42729-023-01464-4
   del Pozo A, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11102769
   Díez-López JA, 2008, SPAN J AGRIC RES, V6, P294
   ESYRCE, 2022, Encuesta sobre superficies y rendimientos de cultivo en Espana
   Famiglietti JS, 2014, NAT CLIM CHANGE, V4, P945, DOI 10.1038/nclimate2425
   FAO, 2023, FAOSTAT analytical briefs, V79, DOI [10.4060/cc9205-n, DOI 10.4060/CC9205-N]
   Feng JF, 2016, AGR ECOSYST ENVIRON, V231, P218, DOI 10.1016/j.agee.2016.06.038
   Fernandez JA, 2020, FIELD CROP RES, V247, DOI 10.1016/j.fcr.2019.107586
   Fitzgerald GJ, 2006, PRECIS AGRIC, V7, P233, DOI 10.1007/s11119-006-9011-z
   Fitzgerald G, 2010, FIELD CROP RES, V116, P318, DOI 10.1016/j.fcr.2010.01.010
   Gabriel JL, 2019, SENSORS-BASEL, V19, DOI 10.3390/s19183881
   Gao Suduan, 2019, International Journal of Environmental Science and Development, V10, P79, DOI 10.18178/ijesd.2019.10.3.1151
   Gao YH, 2023, NAT FOOD, V4, P170, DOI 10.1038/s43016-023-00698-w
   García-González I, 2018, DATA BRIEF, V18, P1327, DOI 10.1016/j.dib.2018.04.029
   García-González I, 2018, GEODERMA, V322, P81, DOI 10.1016/j.geoderma.2018.02.024
   Guardia G, 2024, BIOL FERT SOILS, V60, P375, DOI 10.1007/s00374-023-01791-9
   Guardia G, 2017, FIELD CROP RES, V204, P135, DOI 10.1016/j.fcr.2017.01.009
   Guo J, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su152215716
   Haque MA, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-10140-z
   Hayhoe HN, 1996, SOIL TILL RES, V40, P39, DOI 10.1016/S0167-1987(96)01045-8
   Hou PF, 2021, SCI TOTAL ENVIRON, V793, DOI 10.1016/j.scitotenv.2021.148554
   Huérfano X, 2016, EUR J AGRON, V80, P78, DOI 10.1016/j.eja.2016.07.001
   Isla R., 2011, Util. oN. De. Im. aGenes aereas multiespectrales Para. evaluar la Dispon. De. nitrogeno En. maiZ
   Ke J, 2018, AGR ECOSYST ENVIRON, V265, P402, DOI 10.1016/j.agee.2018.06.023
   Khadra R., 2019, Irrigation Governance Challenges in the Mediterranean Region: Learning from Experiences and Promoting Sustainable Performance
   Kuang WN, 2021, GLOBAL CHANGE BIOL, V27, P3244, DOI 10.1111/gcb.15636
   [Курбанов Р. К. Kurbanov R. K.], 2020, [Сельскохозяйственные машины и технологии, Agricultural Machinery and Technologies, Sel'skokhozyaistvennye mashiny i tekhnologii], V14, P4, DOI 10.22314/2073-7599-2020-14-4-4-11
   Lamm FR, 2016, T ASABE, V59, P263
   Lamm FR, 2012, T ASABE, V55, P483
   Lassaletta L, 2023, NAT FOOD, V4, P281, DOI 10.1038/s43016-023-00740-x
   Le Bail M, 2005, EUR J AGRON, V23, P379, DOI 10.1016/j.eja.2005.02.003
   Li F, 2014, FIELD CROP RES, V157, P111, DOI 10.1016/j.fcr.2013.12.018
   Liu F, 2014, APPL MECH MATER, V666, P375, DOI 10.4028/www.scientific.net/AMM.666.375
   Liu SY, 2019, SCI TOTAL ENVIRON, V657, P1265, DOI 10.1016/j.scitotenv.2018.12.100
   Lopez-Bellido RJ, 2004, EUR J AGRON, V20, P313, DOI 10.1016/S1161-0301(03)00025-X
   López-Calderón MJ, 2020, AGRICULTURE-BASEL, V10, DOI 10.3390/agriculture10100451
   Macedo FL, 2023, AGRICULTURE-BASEL, V13, DOI 10.3390/agriculture13061115
   Malthus T., 2016, Toward Standardization of Vegetation Indices, P175
   Neelam Patel Neelam Patel, 2010, Journal of Agricultural Engineering (New Delhi), V47, P40
   Nie KK, 2022, HORTICULTURAE, V8, DOI 10.3390/horticulturae8060472
   O'KEEFFE K., 2009, MAIZE GROWTH DEV
   Ortega Justavino Richard José, 2021, Rev. Fac. Cienc. Agrar., Univ. Nac. Cuyo, V53, P132
   Osco LP, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12193237
   Pan ZL, 2024, SCI TOTAL ENVIRON, V926, DOI 10.1016/j.scitotenv.2024.172016
   Pilegaard K, 2013, PHILOS T R SOC B, V368, DOI 10.1098/rstb.2013.0126
   Qasim W, 2022, PLANT SOIL, V471, P157, DOI 10.1007/s11104-021-05187-2
   Qiao CL, 2015, GLOBAL CHANGE BIOL, V21, P1249, DOI 10.1111/gcb.12802
   Quemada M, 2013, AGR ECOSYST ENVIRON, V174, P1, DOI 10.1016/j.agee.2013.04.018
   Quinoñes A, 2009, SPAN J AGRIC RES, V7, P190, DOI 10.5424/sjar/2009071-411
   Radoglou-Grammatikis P, 2020, COMPUT NETW, V172, DOI 10.1016/j.comnet.2020.107148
   Raya-Sereno MD, 2024, EUR J AGRON, V154, DOI 10.1016/j.eja.2024.127102
   Raya-Sereno MD, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13071373
   Ribeiro PL, 2024, J ENVIRON MANAGE, V359, DOI 10.1016/j.jenvman.2024.120969
   Rose TJ, 2018, AGR ECOSYST ENVIRON, V252, P69, DOI 10.1016/j.agee.2017.10.008
   Ruser R, 2015, J PLANT NUTR SOIL SC, V178, P171, DOI 10.1002/jpln.201400251
   Rychel K, 2023, NUTR CYCL AGROECOSYS, V126, P213, DOI 10.1007/s10705-023-10286-w
   Sanz-Cobena A, 2011, ATMOS ENVIRON, V45, P1517, DOI 10.1016/j.atmosenv.2010.12.051
   Sha ZP, 2021, ENVIRON POLLUT, V289, DOI 10.1016/j.envpol.2021.117844
   Spinoni J, 2021, GLOBAL PLANET CHANGE, V205, DOI 10.1016/j.gloplacha.2021.103597
   Spinoni J, 2020, J CLIMATE, V33, P3635, DOI 10.1175/JCLI-D-19-0084.1
   Spinoni J, 2018, INT J CLIMATOL, V38, P1718, DOI 10.1002/joc.5291
   Spitkó T, 2016, PLANT SOIL ENVIRON, V62, P293, DOI 10.17221/676/2015-PSE
   Stone PJ, 1999, FIELD CROP RES, V63, P169, DOI 10.1016/S0378-4290(99)00033-7
   Thapa R, 2016, SOIL SCI SOC AM J, V80, P1121, DOI 10.2136/sssaj2016.06.0179
   Ti CP, 2019, ENVIRON POLLUT, V245, P141, DOI 10.1016/j.envpol.2018.10.124
   Tian D, 2017, SCI TOTAL ENVIRON, V575, P1034, DOI 10.1016/j.scitotenv.2016.09.166
   Tufail MA, 2022, FUEL, V324, DOI 10.1016/j.fuel.2022.124725
   Vafeidis A.T., 2020, Zenodo, DOI [10.5281/ZENODO.7101119, DOI 10.5281/ZENODO.7101119]
   Valentin F, 2020, IRRIGATION SCI, V38, P105, DOI 10.1007/s00271-019-00657-z
   Vilarrasa-Nogué M, 2020, SCI TOTAL ENVIRON, V699, DOI 10.1016/j.scitotenv.2019.134042
   Villar J., 2017, Using the nitrification inhibitor DMPP to enhance efficiency in a fertigated peach orchard plantation
   Wang HD, 2022, AGR WATER MANAGE, V269, DOI 10.1016/j.agwat.2022.107645
   Xia LL, 2017, GLOBAL CHANGE BIOL, V23, P1917, DOI 10.1111/gcb.13455
   Xue JR, 2017, J SENSORS, V2017, DOI 10.1155/2017/1353691
   Zhang C, 2022, GLOBAL CHANGE BIOL, V28, P4409, DOI 10.1111/gcb.16198
   Zhang HW, 2023, AGR WATER MANAGE, V282, DOI 10.1016/j.agwat.2023.108281
NR 90
TC 0
Z9 0
U1 13
U2 13
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0378-3774
EI 1873-2283
J9 AGR WATER MANAGE
JI Agric. Water Manage.
PD AUG 1
PY 2024
VL 301
AR 108951
DI 10.1016/j.agwat.2024.108951
EA JUL 2024
PG 12
WC Agronomy; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Water Resources
GA ZF1P8
UT WOS:001273793400001
OA hybrid
DA 2025-01-10
ER

PT J
AU Colloff, MJ
   Butler, JRA
   Burke, N
   Morley, J
   van Kerkhoff, L
   Hilly, Z
   Makini-Purcell, RB
   Namo, J
   Barua, R
   Michie, K
   Rafe, M
   Ririmae, S
AF Colloff, Matthew J.
   Butler, James R. A.
   Burke, Nat
   Morley, John
   van Kerkhoff, Lorrae
   Hilly, Zelda
   Makini-Purcell, Richard B.
   Namo, Jamal
   Barua, Remy
   Michie, Kathryn
   Rafe, Minnie
   Ririmae, Slade
TI Cyclones and skinny dolphins: adaptation pathways for Pacific
   communities under rapid global change
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE Co-production; adaptation planning methodology; livelihood adaptation;
   locally-led adaptation; rural livelihoods; monitoring; evaluation and
   learning; decision making; Solomon Islands
ID CLIMATE-CHANGE ADAPTATION; ADAPTIVE COMANAGEMENT; CAPACITY; BARRIERS
AB The Pacific region is experiencing accelerating global change with complex interactions amongst multiple drivers, yet the onus for urgent adaptation falls largely on communities. Proponents of adaptation must therefore ensure that communities are empowered and enabled to design and implement their own adaptation plans after project cycles have concluded, and that this capacity is scaled beyond the original focus. To address this challenge, we tested a new approach in the Solomon Islands for the iterative development, implementation and evaluation of community-led adaptation. Our theory of change was that by co-designing a decision-making process with a network of community facilitators, livelihood adaptation planning could be mainstreamed and scaled out across rural communities. We implemented a planning process based on systems thinking, social learning and co-production, which we assessed using a novel participatory monitoring, evaluation and learning framework. The process involved six steps: (1) identifying drivers of change; (2) developing shared visions for livelihoods; (3) scoping possible futures for livelihoods; (4) identifying existing community adaptive capacity; (5) determining priority 'no-regrets' strategies to achieve the community vision and (6) mapping adaptation pathways of implementation decisions. Community facilitators co-designed the process, and then ran it in their communities to develop place-based adaptation pathways suited to the local decision-making context, and scaling the process out to neighbouring villages through peer-to-peer learning. Results from a monitoring, evaluation and learning assessment showed the process had generated shifts in thinking among communities towards anticipatory adaptation and the development and implementation of livelihood adaptation pathways. The process had also empowered people to have ownership, responsibility and agency for their futures without major ongoing support from outside agencies.
C1 [Colloff, Matthew J.; van Kerkhoff, Lorrae] Australian Natl Univ, Fenner Sch Environm & Soc, Bldg 141, Linnaeus Way, Canberra, ACT 2601, Australia.
   [Butler, James R. A.] Cawthron Inst, Nelson, New Zealand.
   [Burke, Nat] WWF Australia, Canberra, Australia.
   [Morley, John; Barua, Remy] Plan Int Australia, Melbourne, Australia.
   [Hilly, Zelda; Makini-Purcell, Richard B.; Rafe, Minnie] WWF Pacific, Honiara, Solomon Islands.
   [Namo, Jamal] Plan Int Solomon Isl, Honiara, Solomon Islands.
   [Michie, Kathryn] WWF Australia, Sydney, Australia.
   [Ririmae, Slade] Solomon Isl Dev Trust, Honiara, Solomon Islands.
C3 Australian National University; Cawthron Institute; World Wildlife Fund;
   World Wildlife Fund
RP Colloff, MJ (corresponding author), Australian Natl Univ, Fenner Sch Environm & Soc, Bldg 141, Linnaeus Way, Canberra, ACT 2601, Australia.
EM Matthew.Colloff@anu.edu.au
RI Butler, James/D-7446-2011; van Kerkhoff, Lorrae/AAF-2275-2020; Colloff,
   Matthew/B-7398-2009
OI van Kerkhoff, Lorrae/0000-0003-0247-1511; Colloff,
   Matthew/0000-0002-3765-0627; Butler, James/0000-0001-8333-947X
FU Australian NGO Cooperation Program (ANCP)
FX The CAPSI project was funded by a grant from the through the Australian
   NGO Cooperation Program (ANCP) to Plan International Australia, and WWF
   Australia. CAPSI development and evaluation was approved by the CSIRO
   Human Research Ethics Committee (Ref. 007/20).
CR Abel N, 2011, ENVIRON SCI POLICY, V14, P279, DOI 10.1016/j.envsci.2010.12.002
   Allen MG, 2012, AUST GEOGR, V43, P163, DOI 10.1080/00049182.2012.682294
   Ayers J, 2009, ENVIRONMENT, V51, P22, DOI 10.3200/ENV.51.4.22-31
   Basel B, 2020, MAR POLLUT BULL, V156, DOI 10.1016/j.marpolbul.2020.111266
   Birk T, 2014, NAT RESOUR FORUM, V38, P1, DOI 10.1111/1477-8947.12038
   Bosomworth K, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab3095
   BROWN V., 2015, Journal of Transformative Learning, V3, P35
   Brown V.A., 2008, Leonardo's vision: A guide to collective thinking and action
   Burns D, 2012, IDS BULL-I DEV STUD, V43, P88, DOI 10.1111/j.1759-5436.2012.00325.x
   Butler JRA, 2016, CLIM RISK MANAG, V12, P83, DOI 10.1016/j.crm.2015.11.003
   Butler JRA, 2016, CLIM RISK MANAG, V12, P1, DOI 10.1016/j.crm.2016.01.001
   Butler JRA, 2016, CLIM RISK MANAG, V12, pA1, DOI 10.1016/j.crm.2016.05.002
   Butler JRA, 2015, COAST MANAGE, V43, P346, DOI 10.1080/08920753.2015.1046802
   Butler JRA, 2014, GLOBAL ENVIRON CHANG, V28, P368, DOI 10.1016/j.gloenvcha.2013.12.004
   Butler J. R. A., 2018, LIVELIHOOD ADAPTATIO
   Butler JRA, 2020, FRONT SUSTAIN FOOD S, V4, DOI 10.3389/fsufs.2020.00043
   Coger T., 2022, Locally Led Adaptation: From Principles to Practice
   Colloff MJ, 2021, ENVIRON SCI POLICY, V124, P163, DOI 10.1016/j.envsci.2021.06.014
   Cox TR, 2020, ENVIRON SCI POLICY, V114, P453, DOI 10.1016/j.envsci.2020.09.017
   DFAT, 2023, AUSTR DEV PARTN SOL
   Displacement Solutions, 2015, CLIM DISPL ONT JAV
   Eriksen S, 2021, WORLD DEV, V141, DOI 10.1016/j.worlddev.2020.105383
   Fazey I, 2011, GLOBAL ENVIRON CHANG, V21, P1275, DOI 10.1016/j.gloenvcha.2011.07.006
   Gaworek-Michalczenia MF, 2022, CLIM DEV, V14, P867, DOI 10.1080/17565529.2021.2018987
   Gleeson-White J., 2015, Six;;;;;;capitals, or can accountants save the planet? Rethinking capitalism for the twenty-first;;;;;;century
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Hilly Z., 2012, SPC WOMEN FISHERIES, V22, P29
   Intergovernmental Panel on Climate Change (IPCC), 2023, Climate Change 2021The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel On Climate Change, DOI [10.1017/9781009325844.001, DOI 10.1017/9781009157940, 10.1017/9781009157896]
   Kolb D.A., 2014, EXPERIENTIAL LEARNIN
   Larsen L, 2004, J AM PLANN ASSOC, V70, P374
   Lowrey N., 2017, ENSURING SUSTAINABLE
   Marita P., 2014, VULNERABILITY ADAPTA
   Masud-All-Kamal M, 2022, CLIM DEV, V14, P794, DOI 10.1080/17565529.2021.2003177
   McNamara KE, 2020, NAT CLIM CHANGE, V10, P628, DOI 10.1038/s41558-020-0813-1
   McNamara KE, 2017, LOCAL ENVIRON, V22, P443, DOI 10.1080/13549839.2016.1216954
   MDPAC, 2016, NAT DEV STRAT 2016 2
   Mearns LO, 2010, CLIMATIC CHANGE, V100, P77, DOI 10.1007/s10584-010-9841-6
   Meharg S, 2023, SUSTAIN SCI, V18, P1445, DOI 10.1007/s11625-022-01250-8
   Mertz O, 2009, ENVIRON MANAGE, V43, P743, DOI 10.1007/s00267-008-9259-3
   Mikulewicz M, 2018, CLIM DEV, V10, P18, DOI 10.1080/17565529.2017.1304887
   Mycoo M., 2022, Climate Change 2022: Impacts, P2043, DOI DOI 10.1017/9781009325844.017
   Nanau Gordon Leua, 2011, OMNES: The Journal of Multicultural Society, V2, P31
   Nath Pradosh K., 2011, Environment Development and Sustainability, V13, P141, DOI 10.1007/s10668-010-9253-9
   Nightingale AJ, 2017, GEOFORUM, V84, P11, DOI 10.1016/j.geoforum.2017.05.011
   Piggott-McKellar AE, 2019, LOCAL ENVIRON, V24, P374, DOI 10.1080/13549839.2019.1580688
   Quintana A, 2020, BIODIVERS CONSERV, V29, P3899, DOI 10.1007/s10531-020-02055-w
   Rahman MF, 2023, AMBIO, DOI 10.1007/s13280-023-01884-7
   Roche C, 2020, POLITICS GOV, V8, P136, DOI 10.17645/pag.v8i4.3551
   Schipper ELF, 2021, CLIM DEV, V13, P467, DOI 10.1080/17565529.2020.1799738
   Solomon Islands Government, 2022, PLANN REL GUID
   Sparkes E, 2023, CURR OPIN ENV SUST, V64, DOI 10.1016/j.cosust.2023.101329
   Spires M, 2014, CLIM DEV, V6, P277, DOI 10.1080/17565529.2014.886995
   Suti E, 2021, ASIA PAC VIEWP, V62, P15, DOI 10.1111/apv.12260
   Taylor M, 2015, ROUT EXPLOR DEV STUD, P1
   Trimble M, 2019, SUSTAIN SCI, V14, P1091, DOI 10.1007/s11625-018-0602-1
   Turner-Walker S., 2021, CLIMATE CHANGE RES P, P53, DOI [https://doi.org/10.1007/978-3-030-55536-8_4, DOI 10.1007/978-3-030-55536-8_4]
   Van der Heijden K., 2005, SCENARIOS ART STRATE
   Vincent K, 2023, PROG HUM GEOG, V47, P604, DOI 10.1177/03091325231166076
   Warner R., 2007, PACIFIC EC B, V22, P63
   Werners SE, 2021, ENVIRON SCI POLICY, V126, P168, DOI 10.1016/j.envsci.2021.09.017
   Westoby R, 2020, AMBIO, V49, P1466, DOI 10.1007/s13280-019-01294-8
   Whimp Graeme, 2008, Tuhinga, P169
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
NR 63
TC 1
Z9 1
U1 1
U2 4
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD SEP 13
PY 2024
VL 16
IS 8
BP 633
EP +
DI 10.1080/17565529.2024.2307407
EA FEB 2024
PG 98
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA G8K3B
UT WOS:001158159600001
OA hybrid
DA 2025-01-10
ER

PT J
AU Huang, ZW
   Yuan, X
   Sun, S
   Leng, GY
   Tang, QH
AF Huang, Zhongwei
   Yuan, Xing
   Sun, Siao
   Leng, Guoyong
   Tang, Qiuhong
TI Groundwater Depletion Rate Over China During 1965-2016: The Long-Term
   Trend and Inter-annual Variation
SO JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
LA English
DT Article
DE groundwater depletion; human water withdrawal; water availability;
   climate variation; China
ID SURFACE-WATER; RIVER-BASIN; HYDROLOGICAL SIMULATION; NORTHWEST CHINA;
   GRACE DATA; LAND; SUSTAINABILITY; DATASET; IMPACTS; ABSTRACTIONS
AB Many countries have experienced the increase of groundwater depletion rate (GWDR), posing great challenges to the environment and society. Given the slow variation of groundwater, long-term estimation of GWDR at high-resolution is critical for sustainable managements of regional water resources and risks of hydrological extremes in a changing climate. However, limited in-situ and satellite observations and uncertainties from hydrological model simulations prohibit reliable estimation of the long-term trend and inter-annual variation of GWDR. Using survey-based water withdrawal and water availability datasets, this study provided a spatially distributed estimation of annual GWDR over China at the 0.25 degrees x 0.25 degrees grid scale for the period 1965-2016 using a flux-based approach. The estimated GWDR has higher spatial resolution and longer temporal coverage than previous products. With the newly compiled data, we found that groundwater over China was depleted at an average rate of 20.4 km(3) year(-1) during 1965-2016, especially in the arid and semi-arid areas of northern China. The GWDR showed a significant increasing trend during 1965-2016, but such trend slowed down from 0.66 km(3) year(-1) during 1965-2001 to 0.06 km(3) year(-1) during 2001-2016, which was mainly attributed to the deceleration in human water withdrawal. Further analysis showed that over 40% of the inter-annual variability of GWDR could be explained by precipitation variability, and the climate control increased over time. This study suggested a growing control of climate variations on GWDR over China as the human water withdrawal has been decelerating, and a need for climate change adaptation for a sustainable groundwater management.
C1 [Huang, Zhongwei; Yuan, Xing] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteorol, Key Lab Hydrometeorol Disaster Mech & Warning, Minist Water Resources, Nanjing, Peoples R China.
   [Huang, Zhongwei; Yuan, Xing] Nanjing Univ Informat Sci & Technol, Sch Hydrol & Water Resources, Nanjing, Peoples R China.
   [Sun, Siao] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing, Peoples R China.
   [Sun, Siao; Leng, Guoyong; Tang, Qiuhong] Univ Chinese Acad Sci, Beijing, Peoples R China.
   [Leng, Guoyong; Tang, Qiuhong] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China.
C3 Nanjing University of Information Science & Technology; Nanjing
   University of Information Science & Technology; Chinese Academy of
   Sciences; Institute of Geographic Sciences & Natural Resources Research,
   CAS; Chinese Academy of Sciences; University of Chinese Academy of
   Sciences, CAS; Chinese Academy of Sciences; Institute of Geographic
   Sciences & Natural Resources Research, CAS
RP Yuan, X (corresponding author), Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteorol, Key Lab Hydrometeorol Disaster Mech & Warning, Minist Water Resources, Nanjing, Peoples R China.; Yuan, X (corresponding author), Nanjing Univ Informat Sci & Technol, Sch Hydrol & Water Resources, Nanjing, Peoples R China.
EM xyuan@nuist.edu.cn
RI zhongwei, Huang/AAC-8450-2021; Sun, Siao/GMX-1603-2022; Yuan,
   Xing/G-8392-2011
OI Yuan, Xing/0000-0001-6983-7368; Sun, Siao/0000-0002-6860-3639; Huang,
   Zhongwei/0000-0001-9438-3572
FU National Key R&D Program of China [2018YFA0606002]; National Natural
   Science Foundation of China [U22A20556]; Natural Science Foundation of
   Jiangsu Province for Distinguished Young Scholars [BK20211540]; Major
   Science and Technology Program of the Ministry of Water Resources of
   China [SKS-2022019]; Program for "Kezhen Bingwei" Excellent Talents in
   Institute of Geographic Sciences and Natural Resources Research, Chinese
   Academy of Sciences
FX This research is supported by National Key R & D Program of China
   (2018YFA0606002), National Natural Science Foundation of China
   (U22A20556), Natural Science Foundation of Jiangsu Province for
   Distinguished Young Scholars (BK20211540), the Major Science and
   Technology Program of the Ministry of Water Resources of China
   (SKS-2022019), and the Program for "Kezhen Bingwei" Excellent Talents in
   Institute of Geographic Sciences and Natural Resources Research, Chinese
   Academy of Sciences.
CR Alam S, 2021, WATER RESOUR RES, V57, DOI 10.1029/2021WR030352
   Amore L., 2012, UN WORLD WATER DEV R, V1
   [Anonymous], 2017, China Water Resources Bulletin
   Ashraf S, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-88522-y
   Bierkens MFP, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab1a5f
   Bouwer H., 1977, Ground Water, V15, P358, DOI 10.1111/j.1745-6584.1977.tb03180.x
   Cai XM, 2008, J ENVIRON MANAGE, V87, P14, DOI 10.1016/j.jenvman.2006.12.046
   Cao GL, 2013, WATER RESOUR RES, V49, P159, DOI 10.1029/2012WR011899
   Cao YP, 2015, REMOTE SENS-BASEL, V7, P1021, DOI 10.3390/rs70101021
   Castle SL, 2014, GEOPHYS RES LETT, V41, P5904, DOI 10.1002/2014GL061055
   Chen H, 2019, SCI TOTAL ENVIRON, V649, P372, DOI 10.1016/j.scitotenv.2018.08.352
   Chen SS, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abe782
   Dalin C, 2017, NATURE, V543, P700, DOI 10.1038/nature21403
   de Graaf IEM, 2014, ADV WATER RESOUR, V64, P21, DOI 10.1016/j.advwatres.2013.12.002
   de Graaf IEM, 2019, NATURE, V574, P90, DOI 10.1038/s41586-019-1594-4
   Dilley M, 2005, DISAST RISK MANAGE, P1
   Döll P, 2012, J GEODYN, V59-60, P143, DOI 10.1016/j.jog.2011.05.001
   Döll P, 2014, WATER RESOUR RES, V50, P5698, DOI 10.1002/2014WR015595
   Ek MB, 2003, J GEOPHYS RES-ATMOS, V108, DOI 10.1029/2002JD003296
   Famiglietti JS, 2014, NAT CLIM CHANGE, V4, P945, DOI 10.1038/nclimate2425
   Farinotti D, 2015, NAT GEOSCI, V8, P716, DOI 10.1038/NGEO2513
   Faunt CC, 2016, HYDROGEOL J, V24, P675, DOI 10.1007/s10040-015-1339-x
   Feng W, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10050674
   Feng W, 2013, WATER RESOUR RES, V49, P2110, DOI 10.1002/wrcr.20192
   Flörke M, 2013, GLOBAL ENVIRON CHANG, V23, P144, DOI 10.1016/j.gloenvcha.2012.10.018
   Ghiggi G, 2019, EARTH SYST SCI DATA, V11, P1655, DOI 10.5194/essd-11-1655-2019
   Gleeson T, 2020, ANNU REV EARTH PL SC, V48, P431, DOI 10.1146/annurev-earth-071719-055251
   Gleeson T, 2016, NAT GEOSCI, V9, P161, DOI 10.1038/NGEO2590
   Gleeson T, 2010, NAT GEOSCI, V3, P378, DOI 10.1038/ngeo881
   Gong HL, 2018, HYDROGEOL J, V26, P1417, DOI 10.1007/s10040-018-1768-4
   GRACE, 2023, CSR GRACE GRACE FO R
   Gu AL, 2016, RENEW SUST ENERG REV, V59, P28, DOI 10.1016/j.rser.2015.12.285
   Guan XX, 2021, SCI TOTAL ENVIRON, V798, DOI 10.1016/j.scitotenv.2021.149277
   Guo HP, 2015, ENVIRON EARTH SCI, V74, P1415, DOI 10.1007/s12665-015-4131-2
   Hanasaki N, 2018, HYDROL EARTH SYST SC, V22, P789, DOI 10.5194/hess-22-789-2018
   Hattermann FF, 2017, CLIMATIC CHANGE, V141, P561, DOI 10.1007/s10584-016-1829-4
   Herbert C, 2019, WATER RESOUR RES, V55, P4760, DOI 10.1029/2018WR023321
   Hirabayashi Y, 2013, NAT CLIM CHANGE, V3, P816, DOI [10.1038/nclimate1911, 10.1038/NCLIMATE1911]
   Huang QQ, 2017, J ENVIRON ECON MANAG, V82, P1, DOI 10.1016/j.jeem.2016.10.003
   Huang Z., 2023, SUPPLEMENTARY DATA G, DOI [10.5281/zenodo.7849026, DOI 10.5281/ZENODO.7849026]
   Huang ZY, 2015, GEOPHYS RES LETT, V42, P1791, DOI 10.1002/2014GL062498
   Huang ZW, 2023, J HYDROL-REG STUD, V46, DOI 10.1016/j.ejrh.2023.101332
   Huang ZW, 2021, SCI TOTAL ENVIRON, V783, DOI 10.1016/j.scitotenv.2021.146973
   Huang ZW, 2019, HYDROL PROCESS, V33, P1218, DOI 10.1002/hyp.13393
   Huang ZW, 2018, HYDROL EARTH SYST SC, V22, P2117, DOI 10.5194/hess-22-2117-2018
   Jacob T, 2012, NATURE, V482, P514, DOI 10.1038/nature10847
   Konapala G, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-16757-w
   Konikow LF, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL048604
   Konikow LF, 2005, HYDROGEOL J, V13, P317, DOI 10.1007/s10040-004-0411-8
   Krakauer NY, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/3/034003
   Li BF, 2016, ATMOS RES, V167, P275, DOI 10.1016/j.atmosres.2015.08.017
   Li MX, 2022, J HYDROL, V607, DOI 10.1016/j.jhydrol.2022.127551
   Lin PR, 2019, WATER RESOUR RES, V55, P6499, DOI 10.1029/2019WR025287
   Liu JG, 2016, ECOL INDIC, V60, P434, DOI 10.1016/j.ecolind.2015.07.019
   Liu MH, 2018, AGR WATER MANAGE, V203, P37, DOI 10.1016/j.agwat.2018.02.028
   Liu XC, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac27cb
   Liu XC, 2019, EARTHS FUTURE, V7, P1027, DOI 10.1029/2019EF001181
   Long D, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-17428-6
   Long D, 2016, SCI REP-UK, V6, DOI 10.1038/srep24398
   Ma T, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-14532-5
   Mi LN, 2016, HYDROGEOL J, V24, P971, DOI 10.1007/s10040-015-1346-y
   Ministry of Water Resources of the People's Republic of China, 2016, China Water Resources Bulletin 2015
   Mishra V, 2018, EARTHS FUTURE, V6, P1672, DOI 10.1029/2018EF000939
   Moeck C, 2020, SCI TOTAL ENVIRON, V717, DOI 10.1016/j.scitotenv.2020.137042
   MWRC, 2014, INV WAT RES ITS EXPL
   NBSC, 2017, CHIN STAT YB 2003 20
   Pastor AV, 2014, HYDROL EARTH SYST SC, V18, P5041, DOI 10.5194/hess-18-5041-2014
   Pekel JF, 2016, NATURE, V540, P418, DOI 10.1038/nature20584
   Pokhrel YN, 2016, WIRES WATER, V3, P548, DOI 10.1002/wat2.1150
   Reinecke R, 2021, HYDROL EARTH SYST SC, V25, P787, DOI 10.5194/hess-25-787-2021
   Rodell M, 2018, NATURE, V557, P650, DOI 10.1038/s41586-018-0123-1
   Save H, 2016, J GEOPHYS RES-SOL EA, V121, P7547, DOI 10.1002/2016JB013007
   Scanlon BR, 2012, P NATL ACAD SCI USA, V109, P9320, DOI 10.1073/pnas.1200311109
   Shiklomanov IA, 2000, WATER INT, V25, P11, DOI 10.1080/02508060008686794
   Siebert S., 2013, GLOBAL MAP IRRIGATIO, V2, P1299
   Sun S, 2022, WATER RESOUR RES, V58, DOI 10.1029/2021WR030695
   Taylor RG, 2013, NAT CLIM CHANGE, V3, P322, DOI [10.1038/nclimate1744, 10.1038/NCLIMATE1744]
   Veldkamp TIE, 2015, GLOBAL ENVIRON CHANG, V32, P18, DOI 10.1016/j.gloenvcha.2015.02.011
   Wada Y, 2014, EARTH SYST DYNAM, V5, P15, DOI 10.5194/esd-5-15-2014
   Wada Y, 2017, HYDROL EARTH SYST SC, V21, P4169, DOI 10.5194/hess-21-4169-2017
   Wada Y, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/10/104003
   Wada Y, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR010562
   Wada Y, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL044571
   Wang TY, 2019, J HYDROL, V576, P262, DOI 10.1016/j.jhydrol.2019.06.057
   Wang XH, 2011, P NATL ACAD SCI USA, V108, P1240, DOI 10.1073/pnas.1014425108
   Wu H, 2012, WATER RESOUR RES, V48, DOI 10.1029/2012WR012313
   Wu J, 2013, CHINESE J GEOPHYS-CH, V56, P1102, DOI 10.6038/cjg20130406
   Xia J, 2019, WATER-SUI, V11, DOI 10.3390/w11020186
   Yang P, 2017, SCI TOTAL ENVIRON, V595, P218, DOI 10.1016/j.scitotenv.2017.03.268
   Yin YY, 2020, EARTHS FUTURE, V8, DOI 10.1029/2020EF001492
   Yin ZJ, 2021, J HYDROL, V598, DOI 10.1016/j.jhydrol.2021.126282
   Yuan X, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12692-7
   Zeng YJ, 2016, J ADV MODEL EARTH SY, V8, P1106, DOI 10.1002/2016MS000646
   Zhang C, 2018, NAT ENERGY, V3, P792, DOI 10.1038/s41560-018-0236-7
   Zhang C, 2020, WATER RESOUR RES, V56, DOI 10.1029/2019WR026759
   Zhang XJ, 2014, J HYDROMETEOROL, V15, P2067, DOI 10.1175/JHM-D-13-0170.1
   Zhao Q, 2019, J HYDROL, V575, P1065, DOI 10.1016/j.jhydrol.2019.06.016
   Zhong YL, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10040493
   Zhou, 2020, ZHOU 2020 PNAS DAT X
   Zhou F, 2020, P NATL ACAD SCI USA, V117, P7702, DOI 10.1073/pnas.1909902117
NR 100
TC 17
Z9 17
U1 8
U2 44
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
SN 2169-897X
EI 2169-8996
J9 J GEOPHYS RES-ATMOS
JI J. Geophys. Res.-Atmos.
PD JUN 16
PY 2023
VL 128
IS 11
AR e2022JD038109
DI 10.1029/2022JD038109
PG 19
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA I0QY4
UT WOS:000999920500001
DA 2025-01-10
ER

PT J
AU Khan, N
   Ma, JL
   Kassem, HS
   Kazim, R
   Ray, RL
   Ihtisham, M
   Zhang, SM
AF Khan, Nawab
   Ma, Jiliang
   Kassem, Hazem S.
   Kazim, Rizwan
   Ray, Ram L.
   Ihtisham, Muhammad
   Zhang, Shemei
TI Rural Farmers' Cognition and Climate Change Adaptation Impact on Cash
   Crop Productivity: Evidence from a Recent Study
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
LA English
DT Article
DE cognition; climate change; adaptation; cash crop productivity;
   agriculture; Pakistan
ID EXTREME WEATHER EVENTS; MALADAPTIVE OUTCOMES; EMPIRICAL-EVIDENCE; FOOD
   PRODUCTIVITY; WATER-RESOURCES; RICE YIELD; PERCEPTIONS; AGRICULTURE;
   STRATEGIES; VULNERABILITY
AB The world faces a once-in-a-century transformation due to the COVID-19 pandemic, adversely affecting farmers' employment, production practices, and livelihood resilience. Meanwhile, climate change (CC) is a crucial issue limiting agricultural production worldwide. Farmers' lives, severely affected by extreme weather conditions, are resulting in the reduced production of major economic crops. The CC has drastically influenced the major agricultural sectors of Pakistan, leading to a significant decline in farmers' living standards and the overall economy. Climate-smart and eco-friendly agricultural practices can mitigate greenhouse gas emissions and ameliorate agricultural productivity under extreme environmental conditions. This paper highlights farmers' autonomous CC adaptation strategies and their influence on cash crop (maize for this study) yield under prevailing circumstances. The current study used a simultaneous equation model to examine the different adaptation impacts on adapters and non-adapters. The survey results of 498 maize farmers in rural Pakistan revealed that growers were aware of the recent CC and had taken adequate adaptive measures to acclimatize to CC. Farmers' arable land area, awareness level, and information accessibility to CC are the most crucial factors that impart a significant role in their adaptation judgments. However, most growers have inadequate adaptation strategies, including improved irrigation and the utilization of extensive fertilizers and pesticides. Using a simultaneous equation model of endogenous switching regression, the study found that farmers not adapted to CC were negatively affecting maize productivity. Therefore, this study suggests that policymakers pay attention to the countermeasures farmers have not taken to mitigate the impact of CC. In addition, policymakers should deliver appropriate adaptation strategies to assist growers in coping with climate-related natural hazards and ensure farmers' livelihood security, rural revitalization, and sustainable agricultural development.
C1 [Khan, Nawab; Kazim, Rizwan; Zhang, Shemei] Sichuan Agr Univ, Coll Management, Chengdu 611130, Peoples R China.
   [Ma, Jiliang] Chinese Acad Agr Sci, Inst Agr Econ & Dev, Beijing 100081, Peoples R China.
   [Kassem, Hazem S.] King Saud Univ, Dept Agr Extens & Rural Soc, Riyadh 11451, Saudi Arabia.
   [Ray, Ram L.] Prairie View A&M Univ, Coll Agr & Human Sci, Prairie View, TX 77446 USA.
   [Ihtisham, Muhammad] Yibin Univ, Sch Agr Forestry & Food Engn, Yibin 644000, Peoples R China.
   [Ihtisham, Muhammad] Huazhong Agr Univ, Coll Hort & Forestry, Wuhan 430070, Peoples R China.
C3 Sichuan Agricultural University; Chinese Academy of Agricultural
   Sciences; Institute of Agricultural Economics & Development, CAAS; King
   Saud University; Texas A&M University System; Prairie View A&M
   University; Yibin University; Huazhong Agricultural University
RP Zhang, SM (corresponding author), Sichuan Agr Univ, Coll Management, Chengdu 611130, Peoples R China.
EM zhangshemei@163.com
RI Kassem, Hazem/AAG-9089-2020; Ray, Ram L/L-1286-2015
OI Ihtisham, Muhammad/0009-0005-3614-5281; Kassem,
   Hazem/0000-0001-9327-3283; Jiliang, Ma/0000-0002-9734-1164; Ray, Ram
   L/0000-0002-7833-9253
FU King Saud University, Riyadh, Saudi Arabia [RSP-2021/403]
FX The authors extend their appreciation to the researchers supporting the
   project of (No: RSP-2021/403) King Saud University, Riyadh, Saudi
   Arabia.
CR Abbas S, 2022, ENVIRON SCI POLLUT R, V29, P5406, DOI 10.1007/s11356-021-16041-4
   Abbas S, 2020, ENVIRON SCI POLLUT R, V27, P29580, DOI 10.1007/s11356-020-09222-0
   Abdul Rehman Abdul Rehman, 2019, Journal of the Saudi Society of Agricultural Sciences, V18, P49, DOI 10.1016/j.jssas.2016.12.005
   Abid M, 2015, EARTH SYST DYNAM, V6, P225, DOI 10.5194/esd-6-225-2015
   Abid M, 2016, J RURAL STUD, V47, P254, DOI 10.1016/j.jrurstud.2016.08.005
   Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Adhikari J, 2021, AGR SYST, V186, DOI 10.1016/j.agsy.2020.102990
   Ahmed MN, 2011, BUS ECON HORIZ, V4, P1
   Ali MF, 2021, ENVIRON SCI POLLUT R, V28, P14844, DOI 10.1007/s11356-020-11472-x
   Ali S, 2020, J ANIM PLANT SCI-PAK, V30, P663, DOI 10.36899/JAPS.2020.3.0079
   Ali U, 2021, CIENC RURAL, V51, DOI 10.1590/0103-8478cr20200110
   Aneel Salman Aneel Salman, 2018, Sarhad Journal of Agriculture, V34, P963
   [Anonymous], 2010, EC ADAPTING FISHERIE, DOI [10.1787/9789264090415-en, DOI 10.1787/9789264090415-EN]
   [Anonymous], 2007, MEASURING EC IMPACT, DOI DOI 10.1596/1813-9450-4342
   Antwi-Agyei P, 2018, CLIM RISK MANAG, V19, P83, DOI 10.1016/j.crm.2017.11.003
   Asfaw S, 2016, FOOD SECUR, V8, P643, DOI 10.1007/s12571-016-0571-0
   Asif M., 2013, THESIS UPPSALA U UPP
   Atta-Ur-Rahman, 2015, DISAST RISK REDUCT, P3, DOI 10.1007/978-4-431-55369-4_1
   Atta-ur-Rahman, 2013, NAT HAZARDS, V66, P887, DOI 10.1007/s11069-012-0528-3
   Ayanlade A, 2020, NPJ SCI FOOD, V4, DOI 10.1038/s41538-020-00073-0
   Ayers JM, 2009, ENVIRON MANAGE, V43, P753, DOI 10.1007/s00267-008-9223-2
   Azmi O., 2015, Does adaptation to climate change provide food security? a micro-perspective from Ethiopia
   Below TB, 2015, REG ENVIRON CHANGE, V15, P1169, DOI 10.1007/s10113-014-0620-1
   Benhin J.K., 2006, Climate change and South African agriculture: Impacts and adaptation options, V21
   Boko M, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P433
   Bradshaw B, 2004, CLIMATIC CHANGE, V67, P119, DOI 10.1007/s10584-004-0710-z
   Bryan E, 2013, J ENVIRON MANAGE, V114, P26, DOI 10.1016/j.jenvman.2012.10.036
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Cariappa AAG, 2021, OUTLOOK AGR, V50, P26, DOI 10.1177/0030727021989060
   Carlos SD, 2020, GEOJOURNAL, V85, P805, DOI 10.1007/s10708-019-09993-1
   Castells-Quintana D, 2018, WORLD DEV, V104, P183, DOI 10.1016/j.worlddev.2017.11.016
   Chandio AA, 2023, ENVIRON DEV SUSTAIN, V25, P1614, DOI 10.1007/s10668-022-02111-1
   Chaudhry Q., 2017, Climate Change Profile of Pakistan
   Clarke CL, 2012, AFR J RANGE FOR SCI, V29, P13, DOI 10.2989/10220119.2012.687041
   Deressa TT, 2009, GLOBAL ENVIRON CHANG, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Di Falco S, 2011, AM J AGR ECON, V93, P825, DOI 10.1093/ajae/aar006
   Ding Q, 2017, MAR POLICY, V83, P55, DOI 10.1016/j.marpol.2017.05.011
   Eakin Hallie, 2014, Environment Development and Sustainability, V16, P123, DOI 10.1007/s10668-013-9466-9
   Eckstein D., 2019, GLOBAL CLIMATE RISK
   Fan L.I., 2022, J INT AGR, V21, P3395
   Fierros-González I, 2021, FRONT ENV SCI-SWITZ, V9, DOI 10.3389/fenvs.2021.672399
   Freeman MC, 2015, PHILOS T R SOC A, V373, DOI 10.1098/rsta.2015.0122
   Gömann H, 2015, PROCEDIA ENVIRON SCI, V29, P119, DOI 10.1016/j.proenv.2015.07.197
   Gregorioa GB, 2020, ASIAN J AGRIC DEV, V17, P1, DOI 10.37801/ajad2020.17.1.1
   Hamid S, 2021, FRONT SOCIOL, V6, DOI 10.3389/fsoc.2021.647337
   Hansen J, 2012, P NATL ACAD SCI USA, V109, pE2415, DOI 10.1073/pnas.1205276109
   Hassan R, 2008, AFR J AGRIC RESOUR E, V2, P83
   Huang JK, 2015, AM J AGR ECON, V97, P602, DOI 10.1093/ajae/aav005
   Jamil I, 2021, ENVIRON SCI POLLUT R, V28, P27238, DOI 10.1007/s11356-021-12425-8
   Jat RK, 2014, FIELD CROP RES, V164, P199, DOI 10.1016/j.fcr.2014.04.015
   Khan N, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12104902
   Khan N, 2022, LAND-BASEL, V11, DOI 10.3390/land11030361
   Khan N, 2022, TECHNOL SOC, V68, DOI 10.1016/j.techsoc.2022.101866
   Khanal U, 2019, CLIM DEV, V11, P555, DOI 10.1080/17565529.2018.1469965
   Khanal U, 2018, CLIMATIC CHANGE, V148, P575, DOI 10.1007/s10584-018-2214-2
   Khanal U, 2018, ECOL ECON, V144, P139, DOI 10.1016/j.ecolecon.2017.08.006
   Kurukulasuriya P., 2008, POLICY RES WORKING P, DOI [10.1596/1813-9450-4717, DOI 10.1596/1813-9450-4717]
   Lehner F, 2015, NAT CLIM CHANGE, V5, P731, DOI 10.1038/NCLIMATE2660
   Liu Pei Liu Pei, 2010, Research of Agricultural Modernization, V31, P330
   Lu SB, 2019, TECHNOL FORECAST SOC, V143, P76, DOI 10.1016/j.techfore.2019.01.015
   Makate C., 2017, Social Sciences, V6, P1, DOI [DOI 10.3390/SOCSCI6010030, 10.3390/socsci6010030]
   Müller B, 2017, GLOBAL ENVIRON CHANG, V46, P23, DOI 10.1016/j.gloenvcha.2017.06.010
   Nastis S. A., 2012, African Journal of Agricultural Research, V7, P4885
   Patt AG, 2008, GLOBAL ENVIRON CHANG, V18, P458, DOI 10.1016/j.gloenvcha.2008.04.002
   Piao SL, 2010, NATURE, V467, P43, DOI 10.1038/nature09364
   Pickson RB, 2022, ENVIRON DEV SUSTAIN, V24, P3907, DOI 10.1007/s10668-021-01594-8
   Rasul F., 2016, J. Env. Agric. Sci, V9, P37, DOI DOI 10.1201/9781315166063-7
   Ray RL, 2022, GEOCARTO INT, V37, P12149, DOI 10.1080/10106049.2022.2063412
   Ray RL, 2022, SCI TOTAL ENVIRON, V816, DOI 10.1016/j.scitotenv.2021.151503
   Raymundo R, 2018, EUR J AGRON, V100, P87, DOI 10.1016/j.eja.2017.11.008
   Reidsma P, 2015, AGR SYST, V141, P160, DOI 10.1016/j.agsy.2015.10.009
   Shakoor U, 2011, PAK J AGR SCI, V48, P327
   Shi J, 2018, J CLEAN PROD, V172, P1646, DOI 10.1016/j.jclepro.2016.11.140
   Siche R, 2020, SCI AGROPEC, V11, P3, DOI 10.17268/sci.agropecu.2020.01.00
   Silvestri S, 2012, REG ENVIRON CHANGE, V12, P791, DOI 10.1007/s10113-012-0293-6
   Sitko N., 2022, Assessing the Impacts of the COVID-19 Pandemic on the Livelihoods of Rural PeopleA Review of the Evidence, DOI [10.4060/cb7672en, DOI 10.4060/CB7672EN]
   Stephens EC, 2020, AGR SYST, V183, DOI 10.1016/j.agsy.2020.102873
   Streimikiene D, 2022, ECON RES-EKON ISTRAZ, V35, P529, DOI 10.1080/1331677X.2021.1919542
   Suleri A.Q., 2018, RISK MANAGEMENT PRAC, P186
   Tao MH, 2014, ATMOS ENVIRON, V98, P417, DOI 10.1016/j.atmosenv.2014.09.026
   Tschakert P, 2013, CLIM DEV, V5, P340, DOI 10.1080/17565529.2013.828583
   Vickers NJ, 2017, CURR BIOL, V27, pR713, DOI 10.1016/j.cub.2017.05.064
   Weber EU, 2010, WIRES CLIM CHANGE, V1, P332, DOI 10.1002/wcc.41
   Whitmarsh L., 2018, Psychology and climate change, P13, DOI [DOI 10.1016/B978-0-12-813130-5.00002-3, 10.1016/b978-0-12813130-5.00002-3, DOI 10.1016/B978-0-12813130-5.00002-3]
   Xie W, 2020, CHINA ECON REV, V62, DOI 10.1016/j.chieco.2018.11.007
   Zhai SY, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0184474
   Zhang TY, 2013, INT J CLIMATOL, V33, P699, DOI 10.1002/joc.3463
   Zilberman D, 2012, ANNU REV RESOUR ECON, V4, P27, DOI 10.1146/annurev-resource-083110-115954
NR 88
TC 10
Z9 10
U1 4
U2 25
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1660-4601
J9 INT J ENV RES PUB HE
JI Int. J. Environ. Res. Public Health
PD OCT
PY 2022
VL 19
IS 19
AR 12556
DI 10.3390/ijerph191912556
PG 16
WC Environmental Sciences; Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health
GA 5G5NF
UT WOS:000867044800001
PM 36231854
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Malou, OP
   Moulin, P
   Chevallier, T
   Masse, D
   Vayssières, J
   Badiane-Ndour, NY
   Tall, L
   Thiam, A
   Chapuis-Lardy, L
AF Malou, Oscar Pascal
   Moulin, Patricia
   Chevallier, Tiphaine
   Masse, Dominique
   Vayssieres, Jonathan
   Badiane-Ndour, Ndeye Yacine
   Tall, Laure
   Thiam, Abou
   Chapuis-Lardy, Lydie
TI Estimates of carbon stocks in sandy soils cultivated under local
   management practices in Senegal's groundnut basin
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Soil organic carbon (SOC); SOC stocks; West Africa; Organic input;
   Coarse texture; Visible near-infrared spectroscopy
ID CROP-LIVESTOCK SYSTEMS; SUB-SAHARAN AFRICA; CLIMATE-CHANGE ADAPTATION;
   ORGANIC-MATTER; MIXED CROP; REFLECTANCE SPECTROSCOPY; FERTILITY
   MANAGEMENT; FOOD SECURITY; NITROGEN; AGRICULTURE
AB Soil organic carbon (SOC) is essential for the productivity of agroecosystems and for mitigating climate change. Because the SOC contents of sandy soils are usually small, the effects of agricultural management upon SOC stocks in such soils have been insufficiently studied. In West sub-arid Africa, the coarse-textured soils (mostly Arenosols) are diversely managed by smallholders. In this study, we aimed to quantify SOC stocks in cultivated soils of that region, in a context where agricultural practices rely mainly upon organic inputs derived from various integrated crop-livestock systems. SOC stocks were estimated for the 0-30 cm depth in 1,813 plots in Senegal's groundnut basin. We found that SOC stocks in farmers' fields varied between 2.3 and 59.8 Mg C ha(-1) (mean +/- standard deviation, 14.6 +/- 0.14 Mg C ha(-1)). SOC stocks were influenced slightly by soil type, but were only weakly correlated to soils' clay and silt contents. SOC stocks differed significantly among the three studied village territories due to contrasting livestock-raising systems. Average stocks were significantly higher in plots close to housings (home-fields), which receive larger amounts of organic inputs, than in plots farther from the village (out-fields). Thus, the organic inputs to home-fields improves soil C stocks of these sandy soils in the short term. Innovative agricultural practices in the studied area probably need to target options for managing all fields optimally. Those options will require continuous application of organic products-a measure that will in turn require solutions for improving availability or management of local organic resources.
C1 [Malou, Oscar Pascal; Moulin, Patricia; Vayssieres, Jonathan; Badiane-Ndour, Ndeye Yacine; Tall, Laure; Chapuis-Lardy, Lydie] LMI IESOL, Dakar, Senegal.
   [Malou, Oscar Pascal; Thiam, Abou] Univ Cheikh Anta Diop, Inst Environm Sci, Dakar, Senegal.
   [Moulin, Patricia] IMAGO LAMA, IRD, Dakar, Senegal.
   [Chevallier, Tiphaine; Masse, Dominique; Chapuis-Lardy, Lydie] Univ Montpellier, Eco & Sols, IRD, CIRAD,INRAE,Inst Agro, Montpellier, France.
   [Masse, Dominique] IRD, Eco & Sols, Abidjan, Cote Ivoire.
   [Vayssieres, Jonathan] CIRAD, UMR SELMET, Montpellier, France.
   [Vayssieres, Jonathan] Univ Montpellier, SELMET, CIRAD, INRAE,IRD,Inst Agro, Montpellier, France.
   [Vayssieres, Jonathan] PPZS, Dakar, Senegal.
   [Badiane-Ndour, Ndeye Yacine; Tall, Laure] LNRPV, ISRA, Dakar, Senegal.
   [Badiane-Ndour, Ndeye Yacine] FAO Reg Off, Dakar, Senegal.
C3 University Cheikh Anta Diop Dakar; Institut de Recherche pour le
   Developpement (IRD); INRAE; Universite de Montpellier; Institut Agro;
   Montpellier SupAgro; CIRAD; Institut de Recherche pour le Developpement
   (IRD); Institut de Recherche pour le Developpement (IRD); CIRAD;
   Institut Agro; Universite de Montpellier; INRAE; Institut de Recherche
   pour le Developpement (IRD); CIRAD
RP Malou, OP (corresponding author), LMI IESOL, Dakar, Senegal.; Malou, OP (corresponding author), Univ Cheikh Anta Diop, Inst Environm Sci, Dakar, Senegal.
EM opmalou@gmail.com
RI Masse, Dominique/A-7603-2011; Chevallier, Tiphaine/F-9151-2011; LARDY,
   Lydie/B-5324-2009
OI MALOU, Oscar Pascal/0000-0002-3455-7793; LARDY,
   Lydie/0000-0003-0393-3239
FU SoCa project SoCa (2017 Climate initiative of the BNP Paribas
   foundation); CERAO [ANR-13-AGRO-0002]; DSCATT [ANR 10 LABX 0001 01,
   AF1802-001, FTC00218]; Animal Change (FP7 KKBE 2010-4) [266018]; Agence
   Nationale de la Recherche (ANR) [ANR-13-AGRO-0002] Funding Source:
   Agence Nationale de la Recherche (ANR)
FX This work was mainly supported by the SoCa project SoCa (2017 Climate
   initiative of the BNP Paribas foundation). The authors acknowledge
   access to information on farming systems granted by CERAO
   (#ANR-13-AGRO-0002) and Animal Change (FP7 KKBE 2010-4; #266018).
   Additional support was provided by DSCATT (Labex Agro ANR 10 LABX 0001
   01; #AF1802-001and #FTC00218).
CR Alvarez S, 2014, AGR SYST, V126, P25, DOI 10.1016/j.agsy.2013.03.005
   Amadou M.D., 1999, Environment, Development and Sustainability, V1, P285, DOI [DOI 10.1023/A:1010026922142, DOI 10.1016/J.RSER.2015.04.071]
   [Anonymous], 2009, 11277 NF ISO
   Asselin LM, 2008, QUANTITATIVE APPROACHES TO MULTIDIMENSIONAL POVERTY MEASUREMENT, P80
   Aubert G., 1949, Technical Communications. Commonwealth Bureau of Soil Science, V46, P107
   Audouin E., 2015, Reintroduire l'elevage pour accroitre la durabilite des terroirs villageois d'Afrique de l'Ouest: Les societes rurales face aux changements climatiques et environnementaux en Afrique de l'Ouest
   Audouin E., 2014, Terroirs comparison in terms of biomass flows and nitrogen balance: Study case of Diohine and Barry Sine in the former groundnut basin
   Autfray P, 2012, CAH AGRIC, V21, P225, DOI 10.1684/agr.2012.0568
   Badiane A. N., 2000, GESTION TRANSFORMATI
   Barthès BG, 2019, GEODERMA, V338, P422, DOI 10.1016/j.geoderma.2018.12.031
   Bationo A, 2007, AGR SYST, V94, P13, DOI 10.1016/j.agsy.2005.08.011
   Batjes NH, 1996, EUR J SOIL SCI, V47, P151, DOI [10.1111/j.1365-2389.1996.tb01386.x, 10.1111/ejss.12114_2]
   Batjes NH, 2001, LAND DEGRAD DEV, V12, P131, DOI 10.1002/ldr.444
   Bellon-Maurel V, 2010, TRAC-TREND ANAL CHEM, V29, P1073, DOI 10.1016/j.trac.2010.05.006
   Blanco-Canqui H., 2009, Soil carbon sequestration and the greenhouse effect, P291, DOI [DOI 10.2136/SSSASPECPUB57.2ED.C17, DOI 10.2136/SSSASPECPUB57.2-D.C17]
   Boffa J.M., 1999, AGROFORESTRY PARKLAN
   Bontkes TS., 1999, THESIS WAGENINGEN AG
   Boysworth M.K., 2007, HDB NEAR INFRARED AN, V3, P207, DOI 10.1201/9781420007374-15
   Brunet D, 2007, GEODERMA, V139, P106, DOI 10.1016/j.geoderma.2007.01.007
   Chabbi A, 2017, NAT CLIM CHANGE, V7, P307, DOI 10.1038/nclimate3286
   Chang CW, 2001, SOIL SCI SOC AM J, V65, P480, DOI 10.2136/sssaj2001.652480x
   Chenu C, 2019, SOIL TILL RES, V188, P41, DOI 10.1016/j.still.2018.04.011
   Chianu JN, 2012, AGRON SUSTAIN DEV, V32, P545, DOI 10.1007/s13593-011-0050-0
   Christensen BT, 2001, EUR J SOIL SCI, V52, P345, DOI 10.1046/j.1365-2389.2001.00417.x
   Cisse L., 1989, TS20010NLGDF NQ CTR
   Corbeels M, 2019, SOIL TILL RES, V188, P16, DOI 10.1016/j.still.2018.02.015
   CPCS, 1967, CLASSIFICATION SOLS
   CSN (Czech Technical Standard) ISO, 1995, Soil qualityDetermination of organic and total carbon after dry combustion (elementary analysis)
   De Rouw A., 1999, JACHERE AFRIQUE TROP, P120
   Delaunay V, 2018, Niakhar, memoires et perspectives: recherches pluridisciplinaires sur le changement en Afrique
   Delaunay V., 2021, INDICATEURS RICHESSE
   Descheemaeker K, 2016, REG ENVIRON CHANGE, V16, P2331, DOI 10.1007/s10113-016-0957-8
   Diacono M, 2010, AGRON SUSTAIN DEV, V30, P401, DOI 10.1051/agro/2009040
   Diarisso T, 2016, NUTR CYCL AGROECOSYS, V105, P199, DOI 10.1007/s10705-015-9705-6
   Dignac MF, 2017, AGRON SUSTAIN DEV, V37, DOI 10.1007/s13593-017-0421-2
   Ding XL, 2012, SOIL TILL RES, V122, P36, DOI 10.1016/j.still.2012.02.002
   Dugy T., 2016, THESIS ISTOM CERGY
   Eden M, 2017, AGRON SUSTAIN DEV, V37, DOI 10.1007/s13593-017-0419-9
   Eggleston HS., 2006, GUIDELINES NATL GREE
   Elberling B, 2003, AGR ECOSYST ENVIRON, V96, P37, DOI 10.1016/S0167-8809(03)00010-0
   FAO, 2003, ETUDE GEST SOLS
   FAO, 2018, ENV NATURAL RESOURCE, P52
   Feller C., 1991, Cahiers ORSTOM, Serie Pedologie, V26, P25
   Feller C, 1997, GEODERMA, V79, P69, DOI 10.1016/S0016-7061(97)00039-6
   Feng WT, 2013, BIOGEOCHEMISTRY, V112, P81, DOI 10.1007/s10533-011-9679-7
   Fernandez-Rivera S., 2004, SUSTAINABLE CROP LIV
   Fujisaki K, 2018, AGR ECOSYST ENVIRON, V259, P147, DOI 10.1016/j.agee.2017.12.008
   Fujisaki K, 2018, GEODERMA, V313, P41, DOI 10.1016/j.geoderma.2017.10.010
   Ganry F., 1998, Agriculture et Developpement, P73
   Garrity DP, 2010, FOOD SECUR, V2, P197, DOI 10.1007/s12571-010-0070-7
   Gee GW., 1986, Methods of Soil Analysis, DOI [10.2136/sssabookser5.1.2ed.c15, DOI 10.2136/SSSABOOKSER5.1.2-D.C15]
   Grillot M., 2018, THESIS
   Grillot M, 2018, AGR SYST, V164, P133, DOI 10.1016/j.agsy.2018.04.008
   Hassink J, 1997, PLANT SOIL, V191, P77, DOI 10.1023/A:1004213929699
   IUSS Working Group WRB, 2015, WORLD REFERENCE BASE, V106
   Jia XL, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-02061-z
   Keesstra SD, 2016, SOIL-GERMANY, V2, P111, DOI 10.5194/soil-2-111-2016
   KENNARD RW, 1969, TECHNOMETRICS, V11, P137, DOI 10.2307/1266770
   Lal R, 2006, LAND DEGRAD DEV, V17, P197, DOI 10.1002/ldr.696
   Lal R, 2019, SOIL TILL RES, V188, P27, DOI 10.1016/j.still.2017.12.015
   Landais E., 1993, AGR CAH ETUDES RECH, V2, P9
   Le Thiec G., 1996, AGR AFRICAINE TRACTI
   Lericollais Andre., 1999, Paysans sereer: Dynamiques agraires et mobilites au Senegal
   Li J, 2018, SOIL TILL RES, V175, P281, DOI 10.1016/j.still.2017.08.008
   Liu EK, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0056536
   Loum M, 2014, J ARID ENVIRON, V100, P100, DOI 10.1016/j.jaridenv.2013.10.007
   Maillard É, 2014, GLOBAL CHANGE BIOL, V20, P666, DOI 10.1111/gcb.12438
   Malou OP, 2020, AGR ECOSYST ENVIRON, V301, DOI 10.1016/j.agee.2020.107030
   Manlay RJ, 2004, AGR SYST, V79, P83, DOI 10.1016/S0308-521X(03)00054-4
   Manlay RJ, 2002, AGR ECOSYST ENVIRON, V88, P249, DOI 10.1016/S0167-8809(01)00220-1
   Masse D, 2018, NIAKHAR MEMOIRES PER, P311
   Mbow C, 2014, CURR OPIN ENV SUST, V6, P61, DOI 10.1016/j.cosust.2013.10.014
   McClintock N. C., 2005, International Journal of Agricultural Sustainability, V3, P79, DOI 10.1080/14735903.2005.9684746
   Minasny B, 2017, GEODERMA, V292, P59, DOI 10.1016/j.geoderma.2017.01.002
   Nath AJ, 2018, SCI TOTAL ENVIRON, V634, P1024, DOI 10.1016/j.scitotenv.2018.03.382
   Ndambi OA, 2019, FRONT SUSTAIN FOOD S, V3, DOI 10.3389/fsufs.2019.00029
   Odru M, 2013, THESIS ISTOM CERGY
   Oldfield EE, 2019, SOIL-GERMANY, V5, P15, DOI 10.5194/soil-5-15-2019
   Paustian K, 2016, NATURE, V532, P49, DOI 10.1038/nature17174
   Payne WA, 1998, CROP SCI, V38, P1585, DOI 10.2135/cropsci1998.0011183X003800060029x
   Pelissier Paul., 1966, Les Paysans Du Senegal: Les Civilisations Agraires Du Cayor a La Casamance
   Pieri C., 1989, Fertilite des terres de savane: Bilan de 30 ans de recherche et de developpement agricole au sud du Sahara
   Powell JM, 2004, AGRON J, V96, P469, DOI 10.2134/agronj2004.0469
   Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   Ramisch JJ, 2005, AGR ECOSYST ENVIRON, V105, P353, DOI 10.1016/j.agee.2004.02.001
   Rossel RAV, 2006, GEODERMA, V131, P59, DOI 10.1016/j.geoderma.2005.03.007
   Rumpel C, 2020, AMBIO, V49, P350, DOI 10.1007/s13280-019-01165-2
   Salack S, 2011, THEOR APPL CLIMATOL, V106, P1, DOI 10.1007/s00704-011-0414-z
   Saunier-Zoltobroda T, 2015, THESIS ISTOM CERGY, DOI [10.13140/RG.2.1.3395.9927, DOI 10.13140/RG.2.1.3395.9927]
   Scharlemann JPW, 2014, CARBON MANAG, V5, P81, DOI 10.4155/CMT.13.77
   Sebag D, 2016, GEODERMA, V284, P185, DOI 10.1016/j.geoderma.2016.08.025
   Six J, 2002, PLANT SOIL, V241, P155, DOI 10.1023/A:1016125726789
   Smith P, 2019, ANNU REV ENV RESOUR, V44, P255, DOI 10.1146/annurev-environ-101718-033129
   Soussana JF, 2019, SOIL TILL RES, V188, P3, DOI 10.1016/j.still.2017.12.002
   Stenberg B, 2010, ADV AGRON, V107, P163, DOI 10.1016/S0065-2113(10)07005-7
   Stewart CE, 2007, BIOGEOCHEMISTRY, V86, P19, DOI 10.1007/s10533-007-9140-0
   Sultan B, 2017, RURAL SOC FACE CLIMA, P9, DOI [10.4000/books.irdeditions.12298, DOI 10.4000/BOOKS.IRDEDITIONS.12298]
   Thornton PK, 2015, NAT CLIM CHANGE, V5, P830, DOI [10.1038/nclimate2754, 10.1038/NCLIMATE2754]
   Thornton PK, 2014, GLOB FOOD SECUR-AGR, V3, P99, DOI 10.1016/j.gfs.2014.02.002
   Tittonell P, 2013, SOIL SCI SOC AM J, V77, P525, DOI 10.2136/sssaj2012.0250
   Tondoh JE, 2016, Soil Discuss, P1, DOI [10.5194/soil-2016-45, DOI 10.5194/SOIL-2016-45]
   Tounkara A, 2020, AGR ECOSYST ENVIRON, V294, DOI 10.1016/j.agee.2020.106878
   Toure A., 2013, Open Journal of Soil Science, V3, P253
   Tschakert P, 2004, J ARID ENVIRON, V59, P511, DOI 10.1016/j.jaridenv.2004.03.026
   Vanlauwe B, 2015, SOIL-GERMANY, V1, P491, DOI 10.5194/soil-1-491-2015
   Wade C., 2016, THESIS ECOLE NATL SU
   Wood SA, 2016, ECOL APPL, V26, P2072, DOI 10.1890/16-0024.1
   Woomer PL, 2004, J ARID ENVIRON, V59, P499, DOI 10.1016/j.jaridenv.2004.03.027
   Yost JL, 2019, ADV AGRON, V158, P217, DOI 10.1016/bs.agron.2019.07.004
   Zingore S, 2011, NUTR CYCL AGROECOSYS, V90, P87, DOI 10.1007/s10705-010-9414-0
   Zinn YL, 2007, SOIL SCI SOC AM J, V71, P1204, DOI 10.2136/sssaj2006.0014
NR 111
TC 5
Z9 5
U1 1
U2 37
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD SEP
PY 2021
VL 21
IS 3
AR 65
DI 10.1007/s10113-021-01790-2
PG 13
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA SO7VK
UT WOS:000659183400001
DA 2025-01-10
ER

PT J
AU Barnieh, BA
   Jia, L
   Menenti, M
   Jiang, M
   Zhou, J
   Zeng, YL
   Bennour, A
AF Asenso Barnieh, Beatrice
   Jia, Li
   Menenti, Massimo
   Jiang, Min
   Zhou, Jie
   Zeng, Yelong
   Bennour, Ali
TI Modeling the Underlying Drivers of Natural Vegetation Occurrence in West
   Africa with Binary Logistic Regression Method
SO SUSTAINABILITY
LA English
DT Article
DE West Africa; natural vegetation; underlying drivers; climate; human
   activities; binary logistic regression
ID LAND-COVER CHANGE; GREAT GREEN WALL; DRIVING FORCES; DYNAMICS; SAHEL;
   SELECTION; CLIMATE; TRENDS; DESERTIFICATION; VALIDATION
AB The occurrence of natural vegetation at a given time is determined by interplay of multiple drivers. The effects of several drivers, e.g., geomorphology, topography, climate variability, accessibility, demographic indicators, and changes in human activities on the occurrence of natural vegetation in the severe drought periods and, prior to the year 2000, have been analyzed in West Africa. A binary logistic regression (BLR) model was developed to better understand whether the variability in these drivers over the past years was statistically significant in explaining the occurrence of natural vegetation in the year 2000. Our results showed that multiple drivers explained the occurrence of natural vegetation in West Africa at p < 0.05. The dominant drivers, however, were site-specific. Overall, human influence indicators were the dominant drivers in explaining the occurrence of natural vegetation in the selected hotspots. Human appropriation of net primary productivity (HANPP), which is an indicator of human socio-economic activities, explained the decreased likelihood of natural vegetation occurrence at all the study sites. However, the impacts of the remaining significant drivers on natural vegetation were either positive (increased the probability of occurrence) or negative (decreased the probability of occurrence), depending on the unique environmental and socio-economic conditions of the areas under consideration. The study highlights the significant role human activities play in altering the normal functioning of the ecosystem by means of a statistical model. The research contributes to a better understanding of the relationships and the interactions between multiple drivers and the response of natural vegetation in West Africa. The results are likely to be useful for planning climate change adaptation and sustainable development programs in West Africa.
C1 [Asenso Barnieh, Beatrice; Jia, Li; Menenti, Massimo; Jiang, Min; Zeng, Yelong; Bennour, Ali] Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.
   [Asenso Barnieh, Beatrice; Zeng, Yelong; Bennour, Ali] Univ Chinese Acad Sci, Olymp Campus, Beijing 100101, Peoples R China.
   [Menenti, Massimo] Delft Univ Technol, Fac Civil Engn & Geosci, Stevin Weg 1, NL-2825 CN Delft, Netherlands.
   [Zhou, Jie] Cent China Normal Univ, Coll Urban & Environm Sci, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China.
C3 Chinese Academy of Sciences; Aerospace Information Research Institute,
   CAS; Chinese Academy of Sciences; University of Chinese Academy of
   Sciences, CAS; Delft University of Technology; Central China Normal
   University
RP Jia, L (corresponding author), Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.
EM b.a.barnieh@radi.ac.cn; jiali@aircas.ac.cn; m.menenti@radi.ac.cn;
   jiangmin@aircas.ac.cn; zhou.j@mail.ccnu.edu.cn; zengyl2018@radi.ac.cn;
   alibennour@radi.ac.cn
RI Jia, li/GPW-8015-2022; Bennour, Ali/GYD-7434-2022; Zhou,
   Jie/GRJ-6156-2022; ASENSO BEATRICE, BEATRICE/JNY-0576-2023; Zhou,
   Jie/G-6760-2011
OI Jia, Li/0000-0002-3108-8645; Bennour, Ali/0000-0002-6413-7300; Zeng,
   Yelong/0000-0003-4294-2453; Jiang, Min/0000-0002-3510-9829; Menenti,
   Massimo/0000-0001-9176-4556; Zhou, Jie/0000-0002-1199-4261
FU National Natural Science Foundation of China (NSFC) [41661144022];
   United Nations Environmental Program (UNEP) [41661144022]; Strategic
   Priority Research Program of the Chinese Academy of Sciences
   [XDA19030203]; Chinese Academy of Sciences President's International
   Fellowship Initiative [2020VTA0001]; MOST High-Level Foreign Expert
   Program [GL20200161002]; Chinese Government Scholarship Council (CSC)
   [2018SLJ023247]
FX This project was jointly funded by the National Natural Science
   Foundation of China (NSFC) and the United Nations Environmental Program
   (UNEP) (Grant No. 41661144022), the Strategic Priority Research Program
   of the Chinese Academy of Sciences (Grant No. XDA19030203), the Chinese
   Academy of Sciences President's International Fellowship Initiative
   (Grant No. 2020VTA0001), the MOST High-Level Foreign Expert Program
   (Grant No. GL20200161002), and the Chinese Government Scholarship
   Council (CSC) (Grant No. 2018SLJ023247).
CR Acheampong EO, 2019, SCI AFR, V5, DOI 10.1016/j.sciaf.2019.e00146
   [Anonymous], 2018, PLOS ONE
   [Anonymous], 2015, INT SOIL CLASS SYST
   [Anonymous], 2019, An introduction to categorical data analysis
   [Anonymous], 2012, SAH ATL CHANG LANDSC
   [Anonymous], 2005, GLOBAL CHANGE EARTH, DOI [DOI 10.1007/B137870, 10.1007/b137870]
   [Anonymous], 2008, XXITH ISPRS C
   [Anonymous], 2009, Living on the Edge: Wetlands and Birds in a Changing Sahel
   [Anonymous], 2002, EXPT DESIGN DATA ANA
   [Anonymous], 2006, EARTH SYSTEM SCI ANT
   Anyamba A, 2005, J ARID ENVIRON, V63, P596, DOI 10.1016/j.jaridenv.2005.03.007
   Barnieh BA, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12208565
   ATKINSON AC, 1980, BIOMETRIKA, V67, P413, DOI 10.1093/biomet/67.2.413
   Ayalew L, 2005, GEOMORPHOLOGY, V65, P15, DOI 10.1016/j.geomorph.2004.06.010
   Betru T, 2019, APPL GEOGR, V104, P83, DOI 10.1016/j.apgeog.2019.02.007
   Boschetti M, 2013, ISPRS J PHOTOGRAMM, V78, P26, DOI 10.1016/j.isprsjprs.2013.01.003
   Braimoh AK, 2004, EARTH INTERACT, V8
   Brandt M, 2017, NAT ECOL EVOL, V1, DOI 10.1038/s41559-017-0081
   Brandt M, 2016, REMOTE SENS ENVIRON, V183, P215, DOI 10.1016/j.rse.2016.05.027
   Brandt M, 2016, REMOTE SENS ENVIRON, V172, P28, DOI 10.1016/j.rse.2015.10.036
   BREIMAN L, 1992, J AM STAT ASSOC, V87, P738, DOI 10.2307/2290212
   Brink AB, 2009, APPL GEOGR, V29, P501, DOI 10.1016/j.apgeog.2008.10.004
   Cao Y, 2020, ECOL INDIC, V113, DOI 10.1016/j.ecolind.2020.106200
   Center for International Earth Science Information Network-CIESIN-Columbia University Gridded Population of the World, VERS 4 GPWV4 POP DEN
   Chomitz KM, 1996, WORLD BANK ECON REV, V10, P487, DOI 10.1093/wber/10.3.487
   CILSS, 2016, W AFRICAN LANDSCAPES
   COPAS JB, 1991, J ROY STAT SOC D-STA, V40, P51
   COX DR, 1958, J R STAT SOC B, V20, P215
   Dalu MTB, 2018, INT J DISAST RISK RE, V28, P481, DOI 10.1016/j.ijdrr.2017.12.009
   Das I, 2010, GEOMORPHOLOGY, V114, P627, DOI 10.1016/j.geomorph.2009.09.023
   DERKSEN S, 1992, BRIT J MATH STAT PSY, V45, P265, DOI 10.1111/j.2044-8317.1992.tb00992.x
   Ehlers E., 2016, EARTH SYSTEM SCI ANT, V53
   Fasika A., 2019, J AGR RES, V14, P102, DOI [10.5897/AJAR2018.13672, DOI 10.5897/AJAR2018.13672]
   Fawcett T, 2006, PATTERN RECOGN LETT, V27, P861, DOI 10.1016/j.patrec.2005.10.010
   Fitzmaurice G.M., 2015, BINARY RESPONSE MODE, V2
   Foley JA, 2005, SCIENCE, V309, P570, DOI 10.1126/science.1111772
   Fox J., 2018, An R companion to applied regression
   Geist HJ, 2002, BIOSCIENCE, V52, P143, DOI 10.1641/0006-3568(2002)052[0143:PCAUDF]2.0.CO;2
   Gherboudj I, 2017, EARTH-SCI REV, V165, P342, DOI 10.1016/j.earscirev.2016.12.010
   Goffner D, 2019, REG ENVIRON CHANGE, V19, P1417, DOI 10.1007/s10113-019-01481-z
   Harrrell Jr F.E., 2015, REGRESSION MODELING, V45
   Hemasinghe H, 2018, PROCEDIA ENGINEER, V212, P1046, DOI 10.1016/j.proeng.2018.01.135
   Herrmann SM, 2013, J ARID ENVIRON, V90, P55, DOI 10.1016/j.jaridenv.2012.10.020
   Herrmann SM, 2020, COMMUN EARTH ENVIRON, V1, DOI 10.1038/s43247-020-00053-y
   Hickler T, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL024370
   Hoscilo A, 2015, INT J CLIMATOL, V35, P3582, DOI 10.1002/joc.4231
   Hosmer W., 2000, Applied Logistic Regression, VSecond
   Huber S, 2011, GLOBAL PLANET CHANGE, V76, P186, DOI 10.1016/j.gloplacha.2011.01.006
   Hulme M, 2001, GLOBAL ENVIRON CHANG, V11, P19, DOI 10.1016/S0959-3780(00)00042-X
   Imhoff ML, 2004, NATURE, V429, P870, DOI 10.1038/nature02619
   Kazybayeva S., 2006, Livestock production and household income patterns in Rural Senegal
   Kindu M, 2018, SCI TOTAL ENVIRON, V622, P534, DOI 10.1016/j.scitotenv.2017.11.338
   Kleemann J, 2017, J ENVIRON MANAGE, V196, P411, DOI 10.1016/j.jenvman.2017.01.053
   Lambin EF, 2001, GLOBAL ENVIRON CHANG, V11, P261, DOI [10.1016/S0959-3780(01)00007-3, 10.1146/annurev.energy.28.050302.105459]
   Lambin EF, 2003, ANNU REV ENV RESOUR, V28, P205, DOI 10.1146/annurev.energy.28.050302.105459
   Leroux L, 2017, REMOTE SENS ENVIRON, V191, P38, DOI 10.1016/j.rse.2017.01.014
   Linard C, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0031743
   Lopez S., 2014, Journal of Geographic Information System, V6, P220, DOI 10.4236/jgis.2014.63021
   Mazzocco T, 2012, EXPERT SYST APPL, V39, P3356, DOI 10.1016/j.eswa.2011.09.023
   Mazzucato V, 2002, ECON GEOGR, V78, P171, DOI 10.2307/4140786
   McCullough P., 1989, GEN LINEAR MODELS
   Menard S., 2009, LOGISTIC REGRESSION
   NELDER JA, 1972, J R STAT SOC SER A-G, V135, P370, DOI 10.2307/2344614
   Nelson A, 2019, SCI DATA, V6, DOI 10.1038/s41597-019-0265-5
   Nicholson SE, 1998, B AM METEOROL SOC, V79, P815, DOI 10.1175/1520-0477(1998)079<0815:DDASVA>2.0.CO;2
   NICHOLSON SE, 1988, PROG PHYS GEOG, V12, P36, DOI 10.1177/030913338801200102
   O'Connor D, 2014, SUSTAINABILITY-BASEL, V6, P7142, DOI 10.3390/su6107142
   Osman A., 2018, Journal of Animal Science and Biotechnology, V9, P98
   Pontius RG, 2001, AGR ECOSYST ENVIRON, V85, P239, DOI 10.1016/S0167-8809(01)00187-6
   Pricope NG, 2013, GLOBAL ENVIRON CHANG, V23, P1525, DOI 10.1016/j.gloenvcha.2013.10.002
   Razanamahandry LC, 2018, CATENA, V162, P40, DOI 10.1016/j.catena.2017.11.018
   Reij C., 2009, Agroenvironmental Transformation in the Sahel: Another Kind of "Green Revolution
   Rishmawi K, 2016, REMOTE SENS-BASEL, V8, DOI 10.3390/rs8110948
   Robinson TP, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0096084
   ROECKER E, 1991, TECHNOMETRICS, V33, P459, DOI 10.2307/1269417
   Schlecht E, 2006, AGR ECOSYST ENVIRON, V113, P226, DOI 10.1016/j.agee.2005.09.008
   Schlecht E, 2019, NUTR CYCL AGROECOSYS, V115, P201, DOI 10.1007/s10705-019-09996-x
   Seaquist JW, 2009, BIOGEOSCIENCES, V6, P469, DOI 10.5194/bg-6-469-2009
   Sendzimir J, 2011, ECOL SOC, V16, DOI 10.5751/ES-04198-160301
   Shu BR, 2014, HABITAT INT, V43, P181, DOI 10.1016/j.habitatint.2014.02.004
   Skiena S.S., 2017, DATA SCI DESIGN MANU, V1st
   Steyerberg EW, 2000, AM HEART J, V139, P745, DOI 10.1016/S0002-8703(00)90001-2
   Steyerberg EW, 2001, MED DECIS MAKING, V21, P45, DOI 10.1177/0272989X0102100106
   Steyerberg EW, 2001, J CLIN EPIDEMIOL, V54, P774, DOI 10.1016/S0895-4356(01)00341-9
   Steyerberg EW, 2000, STAT MED, V19, P1059, DOI 10.1002/(SICI)1097-0258(20000430)19:8<1059::AID-SIM412>3.0.CO;2-0
   Steyerberg EW, 2010, EPIDEMIOLOGY, V21, P128, DOI 10.1097/EDE.0b013e3181c30fb2
   Teferi E, 2013, AGR ECOSYST ENVIRON, V165, P98, DOI 10.1016/j.agee.2012.11.007
   Trabucco A., 2009, Global aridity index (globalaridity) and global potential evapotranspiration (globalpet) geospatial database
   Tsangaratos P, 2016, CATENA, V145, P164, DOI 10.1016/j.catena.2016.06.004
   Tsui CC, 2004, GEODERMA, V123, P131, DOI 10.1016/j.geoderma.2004.01.031
   TUCKER CJ, 1991, SCIENCE, V253, P299, DOI 10.1126/science.253.5017.299
   Turner A.B.L., 2009, HYDROL EARTH SYST SC, V23, P91
   Turner MD, 2005, ECOSYSTEMS, V8, P668, DOI 10.1007/s10021-003-0099-y
   Vittek M, 2014, REMOTE SENS-BASEL, V6, P658, DOI 10.3390/rs6010658
   Warren A, 2001, GLOBAL ENVIRON CHANG, V11, P79, DOI 10.1016/S0959-3780(00)00047-9
   WAX Y, 1992, STAT MED, V11, P1273, DOI 10.1002/sim.4780111003
   Yalcin A, 2011, CATENA, V85, P274, DOI 10.1016/j.catena.2011.01.014
   ZWEIG MH, 1993, CLIN CHEM, V39, P561
NR 98
TC 4
Z9 4
U1 1
U2 19
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAY
PY 2021
VL 13
IS 9
AR 4673
DI 10.3390/su13094673
PG 37
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA SC8CO
UT WOS:000650892000001
OA Green Published, gold
DA 2025-01-10
ER

PT C
AU Stokmane, M
   Lontone-Ievina, A
   Ernsteins, R
AF Stokmane, Maija
   Lontone-Ievina, Anita
   Ernsteins, Raimonds
BE Auzina, A
TI MUNICIPAL INTEGRATED COASTAL GOVERNANCE APPROACH: COMPLIMENTARY
   DISCIPLINARY INSTRUMENTS AND COLLABORATION PRE-CONDITIONS
SO ECONOMIC SCIENCE FOR RURAL DEVELOPMENT 2021
SE Economic Science for Rural Development
LA English
DT Proceedings Paper
CT 22nd International Scientific Conference on Economic Science for Rural
   Development (ESRD)
CY MAY 11-14, 2021
CL Jelgava, LATVIA
SP Latvia Univ Life Sci & Technoogies, Fac Econ & Social Dev, Natl Dev Plan 2020, European Union, European Reg Dev Fund, Nord Assoc Agr Sci, Valsts Petijumu Programma, Recovery LV, Interframe LV
DE Jurmala municipality; socio-ecological system; integrated coastal
   management; environmental governance dimensions; coastal governance
   review
ID ZONE MANAGEMENT
AB Municipal coastal governance practice also in Latvia has various limitations, and taking into account growing climate change adaptation challenges, new understanding and new approaches are to be studied and tested. Overall study frame is based on research-and-development approach. The aim of the research was to study how municipal coastal governance is functioning in practice, particularly, in the relation to the coastal dune protection zones (150/300 m) and further coastal territory behind that, applying whole list of governance instrument groups political/legal, planning, and especially institutional instruments, also financial, infrastructure and, last but not least, coastal communication instruments. This was done via research-and-governance frame of the three coastal governance dimensions - governance content, stakeholders (governance segments) and governance instruments, realized in Jurmala municipality as especially nature-culture rich and due to tourist attraction also sensitive coastal pilot territory at the Latvia coast. Case study research methodology applied (document studies, observation and stakeholder's interviews) were approving pre-study understanding, based on previous coastal governance studies, that also this territory with international coastal resort status and well developed municipal administration capacities have limited success on integrated coastal management (ICM) approach implementation and, subsequently, there are requirements on further development of disciplinary instruments and also collaboration governance as ICM preconditions. An integrated ICM approach was internationally designed and approved also for EU coastal countries, since comprehensive requirement to manage the adequate governance of the coast as complex socio-ecological system, but old shaped long existing traditional disciplinary/branch approaches of former and formal municipal planning and management does not really permit necessary innovations with cross-sectorial and cross-level integration perspectives. However, also orientation towards re-use and/or re-development of disciplinary ICM instruments, especially, to be designed and realized as complementary as possible and collaboration governance developments shall be seen as necessary pre-conditions for ICM adequate development.
C1 [Stokmane, Maija; Lontone-Ievina, Anita; Ernsteins, Raimonds] Univ Latvia, Environm Sci Dept, Riga, Latvia.
C3 University of Latvia
RP Stokmane, M (corresponding author), Univ Latvia, Environm Sci Dept, Riga, Latvia.
EM ms08165@lu.lv; anita.lontone@gmail.com; raimonds.ernsteins@lu.lv
RI Ernsteins, Raimonds/AAZ-3725-2020; Štokmane, Maija/Q-5193-2019;
   Ernsteins, Raimonds/T-8274-2017
OI Ernsteins, Raimonds/0000-0002-6721-9109
CR [Anonymous], 2006, REPORT USE ICZM INDI
   [Anonymous], 2011, STRAT COAST SPAT DEV
   [Anonymous], 1997, PROT ZON LAW
   [Anonymous], 2016, NAT LONG TERM PUBL I
   Ballinger R, 2008, POINT COREPOINT IMPR, P81
   Buono F, 2015, OCEAN COAST MANAGE, V114, P21, DOI 10.1016/j.ocecoaman.2015.06.001
   Deboudt P, 2012, OCEAN COAST MANAGE, V57, P62, DOI 10.1016/j.ocecoaman.2011.11.004
   Ernsteins R., 2020, C P
   Ernsteins R., 2020, EC SCI RURAL DEV C P
   Ernsteins R, 2017, 5TH INTERNATIONAL SCIENTIFIC CONFERENCE CONTEMPORARY ISSUES IN BUSINESS, MANAGEMENT AND EDUCATION 2017, P308, DOI 10.3846/cbme.2017.136
   Ernsteins R, 2017, ECON SCI RURAL DEV, P63
   Hopkins TS, 2012, ECOL SOC, V17, DOI 10.5751/ES-05266-170339
   Kalpakis V, 2019, J COAST CONSERV, V23, P149, DOI 10.1007/s11852-018-0646-5
   Kaulins J, 2017, 5TH INTERNATIONAL SCIENTIFIC CONFERENCE CONTEMPORARY ISSUES IN BUSINESS, MANAGEMENT AND EDUCATION 2017, P318, DOI 10.3846/cbme.2017.141
   Klingsheim J. M., 2011, BLAST BRINGING LAND, P1
   O'Hagan AM, 2009, MAR POLICY, V33, P912, DOI 10.1016/j.marpol.2009.04.009
   Pommere I., 2018, J SOCIAL SCI REGIONA, P106
   Portman ME, 2012, SCI TOTAL ENVIRON, V439, P194, DOI 10.1016/j.scitotenv.2012.09.016
   Stojanovic T.A., 2007, GUIDELINES IMPLEMENT, P35
   Thetis, 2011, AN MEMB STAT PROGR R, P357
   Truksans D., 2020, P INT MULT SCI GEOCO, P545
NR 21
TC 0
Z9 0
U1 2
U2 3
PU LATVIA UNIV LIFE SCIENCES & TECHNOLOGIES
PI JELGAVA
PA LIELA IELA 2, JELGAVA, LV-3001, LATVIA
SN 1691-3078
EI 2255-9930
BN 978-9984-48-382-5
J9 ECON SCI RURAL DEV
PY 2021
IS 55
BP 219
EP 230
DI 10.22616/ESRD.2021.55.022
PG 12
WC Development Studies; Economics
WE Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Development Studies; Business & Economics
GA BT5CA
UT WOS:000835687500022
OA Bronze
DA 2025-01-10
ER

PT J
AU Arifeen, A
   Eriksen, S
AF Arifeen, Awais
   Eriksen, Siri
TI The politics of disaster vulnerability: Flooding, post-disaster
   interventions and water governance in Baltistan, Pakistan
SO ENVIRONMENT AND PLANNING E-NATURE AND SPACE
LA English
DT Article
DE Authority; co-production; disaster; Pakistan; vulnerability
ID CLIMATE-CHANGE ADAPTATION; STATE-FORMATION; POWER; AUTHORITY;
   INFRASTRUCTURE; POLICIES; CONTEXT; RULE
AB This paper uses governance of water infrastructure in two settlements of Baltistan as an entry point to examine the co-production of power and vulnerability. Access to water and irrigated land is a critical factor in determining how the effects of disasters, such as flooding, are socially distributed within a community. At the same time, the governance of water is intimately linked to the longer-term politics of disaster vulnerability. We examine three different forms of disputes over water infrastructure where struggles over authority and social ordering materialise: (i) between and within settlements over access to a water resource; (ii) within settlements over post-disaster water infrastructure development and (iii) between a settlement and the district government over land, water rights and flood protection. The findings illustrate that the governance of water infrastructure involves continuous negotiations, contestations and disputes over access rights. Access to water resources as an expression of rights plays a key role in the recognition of authority relations. In particular, influential individuals seek to legitimise their leadership role in a settlement by representing the rights and interests of groups in the negotiation of these disputes. However, environmental variability and change, including disasters and post-disaster development interventions, alter perceptions of what constitute legitimate rights, and provide spaces for popular contestation of authority relations through silent non-compliance with decisions. The close interlinkages between material and non-material effects of a disaster are a key feature of the co-production of power and vulnerability. By adding authority relations to studies of village-level practices around disasters, we enrich our understanding of the co-production of power and vulnerability and how these dynamics unfold over time. It is only by investigating this co-production that a deeper understanding can be developed of the mechanisms through which vulnerability is either exacerbated or reduced for particular groups.
C1 [Arifeen, Awais; Eriksen, Siri] Norwegian Univ Life Sci, As, Norway.
   [Arifeen, Awais] COMSATS Univ Islamabad, Abbottabad Campus, Islamabad, Pakistan.
C3 Norwegian University of Life Sciences; COMSATS University Islamabad
   (CUI)
RP Arifeen, A (corresponding author), Norwegian Univ Life Sci, Fac Landscape & Soc, Dept Int Environm & Dev Studies, POB 5003, N-1432 As, Norway.
EM awais.arifeen@nmbu.no
OI Arifeen, Awais/0000-0001-8342-6899
FU The Research Council of Norway's (NORGLOBAL programme); Quota
   Scholarship program of The Norwegian State Educational Loan Fund
   (Lanekassen); COMSATS University Islamabad, Abbottabad Campus, Pakistan
FX The author(s) disclosed receipt of the following financial support for
   the research, authorship, and/or publication of this article: The study
   has been affiliated with The Research Council of Norway's (NORGLOBAL
   programme) funded project, Courting Catastrophe: Humanitarian Policy and
   Practice in a Changing Climate. The study was funded by Quota
   Scholarship program of The Norwegian State Educational Loan Fund (La
   degrees nekassen) and COMSATS University Islamabad, Abbottabad Campus,
   Pakistan.
CR Anand Nikhil., 2017, HYDRAULIC CITY WATER
   Artur L, 2012, GLOBAL ENVIRON CHANG, V22, P529, DOI 10.1016/j.gloenvcha.2011.11.013
   Atteridge A, 2018, WIRES CLIM CHANGE, V9, DOI 10.1002/wcc.500
   Bakker K, 2012, SOC STUD SCI, V42, P616, DOI 10.1177/0306312712441396
   Boelens R, 2016, WATER INT, V41, P1, DOI 10.1080/02508060.2016.1134898
   Collard RC, 2018, ENVIRON PLAN E-NAT, V1, P3, DOI 10.1177/2514848618777162
   Dani A. H., 1991, History of northern areas of Pakistan
   EMERSON RM, 1983, POLIT SOC, V12, P413, DOI 10.1177/003232928301200401
   Eriksen S, 2017, IDS BULL-I DEV STUD, V48, P1, DOI 10.19088/1968-2017.149
   Eriksen SH, 2015, GLOBAL ENVIRON CHANG, V35, P523, DOI 10.1016/j.gloenvcha.2015.09.014
   Guggenheim M, 2014, SOCIOL REV, V62, P1, DOI 10.1111/1467-954X.12121
   Hassan J, 2004, ENV LAW PAKISTAN GOV
   Hellum A., 2015, WATER IS LIFE WOMENS, P300
   Jasanoff S., 2004, STATES KNOWLEDGE COP
   Linton J, 2014, GEOFORUM, V57, P170, DOI [10.1016/j.geoforum.2014.08.003, 10.1016/j.geoforum.2013.10.008]
   Lund C, 2016, DEV CHANGE, V47, P1199, DOI 10.1111/dech.12274
   Lynch BD, 2012, GLOBAL ENVIRON CHANG, V22, P364, DOI 10.1016/j.gloenvcha.2012.02.002
   MacDonald KI., 1994, MEDIATION RISK ECOLO
   Meehan KM, 2014, GEOFORUM, V57, P215, DOI 10.1016/j.geoforum.2013.08.005
   Mehta L., 2012, Water Alternatives, V5, P193
   Mehta L., 2017, Flows and Practices: The Politics of Integrated Water Resources Management in Eastern and Southern Africa, DOI [10.2307/j.ctvh8r2qk, DOI 10.2307/J.CTVH8R2QK]
   Mikulewicz M, 2018, CLIM DEV, V10, P18, DOI 10.1080/17565529.2017.1304887
   Mosse D, 2008, J S AFR STUD, V34, P939, DOI 10.1080/03057070802456847
   Movik S, 2014, GEOFORUM, V54, P187, DOI 10.1016/j.geoforum.2013.03.003
   Mugambiwa SS, 2018, JAMBA-J DISASTER RIS, V10, DOI 10.4102/jamba.v10i1.388
   Nagoda S, 2017, WORLD DEV, V100, P85, DOI 10.1016/j.worlddev.2017.07.022
   Nagoda S, 2015, GLOBAL ENVIRON CHANG, V35, P570, DOI 10.1016/j.gloenvcha.2015.08.014
   Nightingale AJ, 2017, GEOFORUM, V84, P11, DOI 10.1016/j.geoforum.2017.05.011
   Nightingale AJ, 2013, DEV CHANGE, V44, P29, DOI 10.1111/dech.12004
   Nygren A, 2016, J LAT AM STUD, V48, P335, DOI 10.1017/S0022216X15001170
   O'Brien K, 2007, CLIM POLICY, V7, P73, DOI 10.1080/14693062.2007.9685639
   Obertreis J, 2016, WATER ALTERN, V9, P168
   Ostrom E., 1990, GOVERNING COMMONS EV
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Pelling M, 2010, PROG HUM GEOG, V34, P21, DOI 10.1177/0309132509105004
   Rasmussen M.B., 2015, AM ANTHROPOL, DOI 10.1002/(ISSN)1548-1433(CAT)VirtualIssues(VI)ExploringWaterinSocialandCulturalLife
   Ribot JC, 2003, RURAL SOCIOL, V68, P153, DOI 10.1111/j.1549-0831.2003.tb00133.x
   Siddiqi A, 2018, DISASTERS, V42, pS161, DOI 10.1111/disa.12302
   Sokefeld M., 2014, Etnoscripts, V16, P9
   Swyngedouw E, 2009, J CONTEMP WAT RES ED, V142, P56, DOI 10.1111/j.1936-704X.2009.00054.x
   Swyngedouw Erik., 1996, CAPITALISM NATURE SO, V7, P65, DOI [https://doi.org/10.1080/10455759609358679, DOI 10.1080/10455759609358679]
   Taylor M, 2015, ROUT EXPLOR DEV STUD, P1
   Taylor M, 2013, CLIM DEV, V5, P318, DOI 10.1080/17565529.2013.830954
   Tschakert P, 2016, GLOBAL ENVIRON CHANG, V40, P182, DOI 10.1016/j.gloenvcha.2016.07.004
   Venugopal R, 2017, OXF DEV STUD, V45, P424, DOI 10.1080/13600818.2016.1276160
   WATTS MJ, 1993, PROG HUM GEOG, V17, P43, DOI 10.1177/030913259301700103
   Wester P, 2019, HINDU KUSH HIMALAYA ASSESSMENT: MOUNTAINS, CLIMATE CHANGE, SUSTAINABILITY AND PEOPLE, P1, DOI 10.1007/978-3-319-92288-1
   Williamson F, 2018, ENVIRON PLAN E-NAT, V1, P323, DOI 10.1177/2514848618776872
   Wisner B., 2004, At risk: natural hazards, people's vulnerability and disasters
   Zwarteveen M, 2017, WIRES WATER, V4, DOI 10.1002/wat2.1245
NR 50
TC 10
Z9 10
U1 1
U2 12
PU SAGE PUBLICATIONS INC
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 2514-8486
EI 2514-8494
J9 ENVIRON PLAN E-NAT
JI Environ. Plan. E-Nat. Space
PD DEC
PY 2020
VL 3
IS 4
BP 1137
EP 1157
DI 10.1177/2514848619880899
PG 21
WC Environmental Studies; Geography
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA VK8CO
UT WOS:000755967300009
DA 2025-01-10
ER

PT J
AU Turek-Hankins, LL
   Hino, M
   Mach, KJ
AF Turek-Hankins, Lynee L.
   Hino, Miyuki
   Mach, Katharine J.
TI Risk screening methods for extreme heat: Implications for
   equity-oriented adaptation
SO PLOS ONE
LA English
DT Article
ID SOCIAL VULNERABILITY; CLIMATE-CHANGE; ENVIRONMENTAL JUSTICE;
   UNITED-STATES; MORTALITY; WAVES; HOSPITALIZATIONS; TEMPERATURE;
   DISPARITIES; CALIFORNIA
AB Morbidity and mortality impacts of extreme heat amplified by climate change will be unequally distributed among communities given pre-existing differences in socioeconomic, health, and environmental conditions. Many governments are interested in adaptation policies that target those especially vulnerable to the risks, but there are important questions about how to effectively identify and support communities most in need of heat adaptations. Here, we use an equity-oriented adaptation program from the state of California as a case study to evaluate the implications of the currently used environmental justice index (CalEnviroScreen 3.0) for the identification of socially vulnerable communities with climate change adaptation needs. As CalEnviroScreen is geared towards air and water pollution, we assess how community heat risks and adaptation needs would be evaluated differently under two more adaptation-relevant vulnerability indices: the Social Vulnerability Index and the Heat-Health Action Index. Our analysis considers communities at the census tract scale, as well as the patterns emerging at the regional scale. Using the current index, the state designates 25% of its census tracts as "disadvantaged" communities eligible for special adaptation funds. However, an additional 12.6% of the state's communities could be considered vulnerable if the two other indices were considered instead. Only 13.4% of communities are vulnerable across all three vulnerability indices studied. Choice of vulnerability index shapes statewide trends in extreme heat risk and is linked to a community's likelihood of receiving heat-related California Climate Investments (CCI) projects. Tracts that are vulnerable under the current pollution-focused index, but not under the heat-health specific index, received four times the number of heat-related interventions as tracts vulnerable under the reverse scenario. This study demonstrates important nuances relevant to implementing equity-oriented adaptation and explores the challenges, trade-offs, and opportunities in quantifying vulnerability.
C1 [Turek-Hankins, Lynee L.] Stanford Univ, Stanford Woods Inst Environm, Mentoring Undergrad Interdisciplinary Res MUIR Pr, Stanford, CA 94305 USA.
   [Turek-Hankins, Lynee L.] Univ Miami, Environm Sci & Policy Grad Program, Leonard & Jayne Abess Ctr Ecosyst Sci & Policy, Coral Gables, FL 33146 USA.
   [Hino, Miyuki] Univ N Carolina, Dept City & Reg Planning, Chapel Hill, NC USA.
   [Hino, Miyuki] Univ N Carolina, Environm Ecol & Energy Program, Chapel Hill, NC USA.
   [Turek-Hankins, Lynee L.; Mach, Katharine J.] Univ Miami, Rosenstiel Sch Marine & Atmospher Sci, Miami, FL 33149 USA.
   [Mach, Katharine J.] Univ Miami, Leonard & Jayne Abess Ctr Ecosyst Sci & Policy, Coral Gables, FL USA.
C3 Stanford University; University of Miami; University of North Carolina;
   University of North Carolina Chapel Hill; University of North Carolina;
   University of North Carolina Chapel Hill; University of Miami;
   University of Miami
RP Turek-Hankins, LL (corresponding author), Stanford Univ, Stanford Woods Inst Environm, Mentoring Undergrad Interdisciplinary Res MUIR Pr, Stanford, CA 94305 USA.; Turek-Hankins, LL (corresponding author), Univ Miami, Environm Sci & Policy Grad Program, Leonard & Jayne Abess Ctr Ecosyst Sci & Policy, Coral Gables, FL 33146 USA.; Turek-Hankins, LL (corresponding author), Univ Miami, Rosenstiel Sch Marine & Atmospher Sci, Miami, FL 33149 USA.
EM lturek@miami.edu
OI Turek-Hankins, Lynee/0000-0003-3356-3283
FU Mentoring Undergraduates in Interdisciplinary Research (MUIR) Program at
   Stanford Woods Institute for the Environment; Abess Center for Ecosystem
   Science and Policy at the University of Miami; Rosenstiel School of
   Marine and Atmospheric Science at University of Miami
FX This research was funded by the Mentoring Undergraduates in
   Interdisciplinary Research (MUIR) Program at the Stanford Woods
   Institute for the Environment, the Rosenstiel School of Marine and
   Atmospheric Science at the University of Miami, and the Abess Center for
   Ecosystem Science and Policy at the University of Miami.
CR Agency for Toxic Substances and Disease Registry, 2016, CDCS SOC VULN IND SV
   Anderson GB, 2013, ENVIRON HEALTH PERSP, V121, P1111, DOI 10.1289/ehp.1206273
   Anderson GB, 2011, ENVIRON HEALTH PERSP, V119, P210, DOI 10.1289/ehp.1002313
   [Anonymous], 2020, LANCET RESP MED, V8, P1, DOI [10.1016/S22132600(19)30402-3, 10.1016/S2213-2600(19)30449-7]
   Bakkensen LA, 2017, RISK ANAL, V37, P982, DOI 10.1111/risa.12677
   Banzhaf S, 2019, J ECON PERSPECT, V33, P185, DOI 10.1257/jep.33.1.185
   Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
   Bedsworth L., 2018, STATEWIDE SUMMARY RE
   Bergstrand K, 2015, SOC INDIC RES, V122, P391, DOI 10.1007/s11205-014-0698-3
   Berrang-Ford L, 2015, REG ENVIRON CHANGE, V15, P755, DOI 10.1007/s10113-014-0708-7
   Bobb JF, 2014, ENVIRON HEALTH PERSP, V122, P811, DOI 10.1289/ehp.1307392
   Bradford K, 2015, ENVIRON SCI TECHNOL, V49, P11303, DOI 10.1021/acs.est.5b03127
   California Air Resources Board, 2018, PRIOR POP INV
   California Climate Investments, 2019, CAL CLIM INV PROJ MA
   California Climate Investments, 2019, ANN REP CAP AND TRAD
   California Energy Commission, 2018, CAL HEAT ASS TOOL
   CDC, 2014, HEAT REL ILLN PICT A
   Curriero FC, 2002, AM J EPIDEMIOL, V155, P80, DOI 10.1093/aje/155.1.80
   Debortoli NS, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aae24a
   Eng Tiffany, 2018, CalEnviroScreen: A Critical Tool for Achieving Environmental Justice in California
   Engle NL, 2014, MITIG ADAPT STRAT GL, V19, P1295, DOI 10.1007/s11027-013-9475-x
   Flanagan BE, 2011, J HOMEL SECUR EMERG, V8, DOI 10.2202/1547-7355.1792
   Gershunov A., 2011, GEOGRAPHY RES FORUM, V31, P6
   Gershunov A, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL052979
   Gomez AB, 2016, AB 1550 GREENH GAS I, P1
   Greene S, 2011, WEATHER CLIM SOC, V3, P281, DOI 10.1175/WCAS-D-11-00055.1
   Gronlund CJ, 2014, ENVIRON HEALTH PERSP, V122, P1187, DOI 10.1289/ehp.1206132
   Gubernot DM, 2014, INT J BIOMETEOROL, V58, P1779, DOI 10.1007/s00484-013-0752-x
   Guirguis K, 2018, GEOHEALTH, V2, P212, DOI 10.1029/2017GH000127
   Guirguis K, 2018, CLIM DYNAM, V50, P3853, DOI 10.1007/s00382-017-3850-3
   Guirguis K, 2014, J APPL METEOROL CLIM, V53, P3, DOI 10.1175/JAMC-D-13-0130.1
   Hall ES, 2014, R9 RARE FINAL PROJEC
   Harlan SL, 2006, SOC SCI MED, V63, P2847, DOI 10.1016/j.socscimed.2006.07.030
   Hinkel J, 2011, GLOBAL ENVIRON CHANG, V21, P198, DOI 10.1016/j.gloenvcha.2010.08.002
   Hsieh HF, 2005, QUAL HEALTH RES, V15, P1277, DOI 10.1177/1049732305276687
   Huang GL, 2016, LANDSCAPE ECOL, V31, P2507, DOI 10.1007/s10980-016-0437-z
   Kinney PL, 2008, ENVIRON SCI POLICY, V11, P87, DOI 10.1016/j.envsci.2007.08.001
   Knowlton K, 2009, ENVIRON HEALTH PERSP, V117, P61, DOI 10.1289/ehp.11594
   Mach KJ, 2020, CURR OPIN ENV SUST, V42, P30, DOI 10.1016/j.cosust.2020.01.002
   Marino EK, 2020, ANN ANTHROPL PRACT, V44, P33, DOI 10.1111/napa.12132
   Maturen E K., 2018, American College of Radiology, V15, P365
   Mills D, 2015, CLIMATIC CHANGE, V131, P83, DOI 10.1007/s10584-014-1154-8
   Mohai P., 2015, ENVIRON RES LETT, V10
   National Weather Service, HEAT IND
   National Weather Service, 2018, Weather-Related Fatality and Injury Statistics
   Nayak SG, 2018, PUBLIC HEALTH, V161, P127, DOI 10.1016/j.puhe.2017.09.006
   Nguyen TTX, 2016, OCEAN COAST MANAGE, V123, P18, DOI 10.1016/j.ocecoaman.2015.11.022
   OEHHA, 2018, CALENVIROSCREEN 3 0
   Ostro BD, 2009, ENVIRON RES, V109, P614, DOI 10.1016/j.envres.2009.03.010
   Paveglio TB, 2017, LANDSCAPE URBAN PLAN, V160, P115, DOI 10.1016/j.landurbplan.2016.12.013
   Pierce D, 2015, HUMIDITY DOWNSCALING
   Pierce DW, 2016, CLIM DYNAM, V47, P411, DOI 10.1007/s00382-015-2845-1
   Pierce D.W., 2018, Climate, Drought, and Sea Level Rise Scenarios for the Fourth California Climate Assessment. California's Fourth Climate Change Assessment
   Pierce DW, 2015, J HYDROMETEOROL, V16, P2421, DOI 10.1175/JHM-D-14-0236.1
   Qiang Y, 2019, J ENVIRON MANAGE, V232, P295, DOI 10.1016/j.jenvman.2018.11.039
   Reckien D, 2018, REG ENVIRON CHANGE, V18, P1439, DOI 10.1007/s10113-017-1273-7
   Rodriquez M., 2017, Update to the California Communities Environmental Health Screening Tool
   Roos Michelle, 2018, Climate Justice Report: California's Fourth Climate Change Assessment
   Rufat S, 2015, INT J DISAST RISK RE, V14, P470, DOI 10.1016/j.ijdrr.2015.09.013
   Sadd J, 2014, HEALTH EDUC BEHAV, V41, P281, DOI 10.1177/1090198113511816
   Sadd JL, 2011, INT J ENV RES PUB HE, V8, P1441, DOI 10.3390/ijerph8051441
   Sherbakov T, 2018, ENVIRON RES, V160, P83, DOI 10.1016/j.envres.2017.08.052
   Spielman SE, 2020, NAT HAZARDS, V100, P417, DOI 10.1007/s11069-019-03820-z
   Steinberg N, 2018, PREPARING PUBLIC HLT
   Taha H., 2015, Creating and mapping an urban heat island index for california
   Tate E, 2013, ANN ASSOC AM GEOGR, V103, P526, DOI 10.1080/00045608.2012.700616
   Tate E, 2012, NAT HAZARDS, V63, P325, DOI 10.1007/s11069-012-0152-2
   UC Berkeley Geospatial Innovation Facility, 2019, CLIMATE DATA
   Voorhees AS, 2011, ENVIRON SCI TECHNOL, V45, P1450, DOI 10.1021/es102820y
NR 69
TC 9
Z9 10
U1 1
U2 13
PU PUBLIC LIBRARY SCIENCE
PI SAN FRANCISCO
PA 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA
SN 1932-6203
J9 PLOS ONE
JI PLoS One
PD NOV 4
PY 2020
VL 15
IS 11
AR e0240841
DI 10.1371/journal.pone.0240841
PG 20
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics
GA OR6WM
UT WOS:000589609300032
PM 33147245
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Galluzzi, G
   Seyoum, A
   Halewood, M
   Noriega, IL
   Welch, EW
AF Galluzzi, Gea
   Seyoum, Aseffa
   Halewood, Michael
   Lopez Noriega, Isabel
   Welch, Eric W.
TI The Role of Genetic Resources in Breeding for Climate Change: The Case
   of Public Breeding Programmes in Eighteen Developing Countries
SO PLANTS-BASEL
LA English
DT Article
DE genetic resources; plant breeding; climate change adaptation; genebanks;
   policy; developing countries
ID CROP WILD RELATIVES; FOOD SECURITY; ADAPTING AGRICULTURE; DIVERSITY;
   ADAPTATION; CHALLENGES; EVOLUTION; FUTURE; INTENSIFICATION; CONSERVATION
AB The role of plant breeding in adapting crops to climate changes that affect food production in developing countries is recognized as extremely important and urgent, alongside other agronomic, socio-economic and policy adaptation pathways. To enhance plant breeders' capacity to respond to climate challenges, it is acknowledged that they need to be able to access and use as much genetic diversity as they can get. Through an analysis of data from a global survey, we explore if and how public breeders in selected developing countries are responding to climate challenges through a renewed or innovative use of plant genetic resources, particularly in terms of types of material incorporated into their breeding work as well as sources of such germplasm. It also looks at the possible limitations breeders encounter in their efforts towards exploring diversity for adaptation. Breeders are clearly considering climate challenges. In general, their efforts are aimed at intensifying their breeding work on traits that they were already working on before climate change was so widely discussed. Similarly, the kinds of germplasm they use, and the sources from which they obtain it, do not appear to have changed significantly over the course of recent years. The main challenges breeders faced in accessing germplasm were linked to administrative/legal factors, particularly related to obtaining genetic resources across national borders. They also underscore technical challenges such as a lack of appropriate technologies to exploit germplasm sets such as crop wild relatives and landraces. Addressing these limitations will be crucial to fully enhance the role of public sector breeders in helping to adapt vulnerable agricultural systems to the challenges of climate change.
C1 [Galluzzi, Gea; Halewood, Michael; Lopez Noriega, Isabel] Biovers Int, Via Tre Denari 472-A, I-00057 Rome, Italy.
   [Seyoum, Aseffa; Welch, Eric W.] Arizona State Univ, Ctr Sci Technol & Environm Policy Studies, Sch Publ Affairs, 411 N Cent Ave, Phoenix, AZ 85004 USA.
C3 Alliance; Bioversity International; Arizona State University; Arizona
   State University-Downtown Phoenix
RP Galluzzi, G (corresponding author), Biovers Int, Via Tre Denari 472-A, I-00057 Rome, Italy.
EM geagalluzzi@gmail.com; aseyoumw@yahoo.com; m.halewood@cgiar.org;
   i.lopez@cgiar.org; EricWelch@asu.edu
RI Welch, Eric/D-5097-2015
OI , ASEFFA SEYOUM/0009-0001-0876-2670
FU CGIAR Trust Fund; CGIAR Genebank Platform; Directorate-General for
   International Cooperation, Ministry of Foreign A ffairs of the
   Netherlands through the grant "Strengthening national capacities to
   implement the International Treaty on Plant Genetic Resources for Food
   and Agriculture" [21820/DSO0113359]
FX This work was implemented as part of the CGIAR Research Program on
   Climate Change, Agriculture and Food Security (CCAFS), which is carried
   out with support from the CGIAR Trust Fund and through bilateral funding
   agreements. For details please visit https://ccafs.cgiar.org/donors.The
   views expressed in this document cannot be taken to reflect the official
   opinions of these organizations. Support was also received from the
   CGIAR Genebank Platform and from the Directorate-General for
   International Cooperation, Ministry of Foreign A ffairs of the
   Netherlands through the grant "Strengthening national capacities to
   implement the International Treaty on Plant Genetic Resources for Food
   and Agriculture" (Grant contract number: 21820/DSO0113359).
CR Abberton M, 2016, PLANT BIOTECHNOL J, V14, P1095, DOI 10.1111/pbi.12467
   [Anonymous], 2015, The State of Food Insecurity in the World: Meeting the 2015 international hunger targets: taking stock of uneven progress, P1
   Ayala M, 2013, EUPHYTICA, V190, P53, DOI 10.1007/s10681-012-0773-2
   Baenziger PS, 2011, SUSTAINABILITY-BASEL, V3, P1190, DOI 10.3390/su3081190
   Bamberg J, 2003, AM J POTATO RES, V80, P159, DOI 10.1007/BF02855688
   Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
   Battisti DS, 2009, SCIENCE, V323, P240, DOI 10.1126/science.1164363
   Bellon MR, 2014, CABI CLIM CHANGE SER, V4, P137, DOI 10.1079/9781780641973.0137
   Bennett E., 1970, IBP HDB, P115
   Berger J.D., 2008, P 14 AUSTR AGR C AD, P5395
   Brozynska M, 2016, PLANT BIOTECHNOL J, V14, P1070, DOI 10.1111/pbi.12454
   Castañeda-Alvarez NP, 2016, NAT PLANTS, V2, DOI [10.1038/NPLANTS.2016.22, 10.1038/nplants.2016.22]
   Ceccarelli S, 2007, EXP AGR, V43, P411, DOI 10.1017/S0014479707005327
   CECCARELLI S, 1992, EXP AGR, V28, P89, DOI 10.1017/S0014479700023036
   Ceccarelli S, 2010, J AGR SCI-CAMBRIDGE, V148, P627, DOI 10.1017/S0021859610000651
   Ceccarelli S, 2009, J AGRIC ENVIRON INT, V103, P131
   Ceccarelli S., 2004, CHALLENGES STRATEGIE, P167
   Ceccarelli S, 2015, CROP SCI, V55, P87, DOI 10.2135/cropsci2014.02.0158
   Chapman SC, 2012, CROP PASTURE SCI, V63, P251, DOI 10.1071/CP11303
   Chiarolla C., 2011, OUTSTANDING ISSUES A
   Delannay X, 2012, MOL BREEDING, V29, P857, DOI 10.1007/s11032-011-9611-9
   Dempewolf H, 2014, AGROECOL SUST FOOD, V38, P369, DOI 10.1080/21683565.2013.870629
   Deressa T. T., 2009, Global Environmental Change, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Durack PJ, 2012, SCIENCE, V336, P455, DOI 10.1126/science.1212222
   Edmeades GO, 2004, FIELD CROP RES, V90, P5, DOI 10.1016/j.fcr.2004.07.002
   Endresen DTF, 2010, CROP SCI, V50, P2418, DOI 10.2135/cropsci2010.03.0174
   Esquinas-Alcázar J, 2005, NAT REV GENET, V6, P946, DOI 10.1038/nrg1729
   Evenson RE, 2003, SCIENCE, V300, P758, DOI 10.1126/science.1078710
   Evenson RE, 1997, ECON DEV CULT CHANGE, V45, P471, DOI 10.1086/452288
   Fowler C., 2001, Development Policy Review, V19, P181, DOI 10.1111/1467-7679.00130
   Fowler C., 2003, DEMAND CROP GENETIC
   Galluzzi G, 2016, BIODIVERS CONSERV, V25, P1421, DOI 10.1007/s10531-016-1109-7
   Garrett KA, 2006, ANNU REV PHYTOPATHOL, V44, P489, DOI 10.1146/annurev.phyto.44.070505.143420
   Gepts P, 2002, CROP SCI, V42, P1780, DOI 10.2135/cropsci2002.1780
   Gepts P, 2006, CROP SCI, V46, P1630, DOI 10.2135/cropsci2005-12-0497op
   Gowda C.L.L., 2011, BIODIVERSITY AGR DOM, P362
   Guedes JD, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aar4491
   Gutaker RM, 2020, NAT PLANTS, V6, P492, DOI 10.1038/s41477-020-0659-6
   Halewood M., 2013, Crop genetic resources as a global commons: challenges in international law and governance, P1
   Halewood Michael., 2014, Intellectual Property Rights: Legal and Economic Challenges for Development
   HARLAN JR, 1973, EVOLUTION, V27, P311, DOI [10.2307/2406971, 10.1111/j.1558-5646.1973.tb00676.x]
   Haussmann BIG, 2012, J AGRON CROP SCI, V198, P327, DOI 10.1111/j.1439-037X.2012.00526.x
   Henry RJ, 2014, FRONT PLANT SCI, V5, DOI 10.3389/fpls.2014.00068
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Jarvis A, 2008, AGR ECOSYST ENVIRON, V126, P13, DOI 10.1016/j.agee.2008.01.013
   Kantar MB, 2015, FRONT PLANT SCI, V6, DOI 10.3389/fpls.2015.00841
   Kurukulasuriya P, 2008, AFR J AGRIC RESOUR E, V2, P105
   Lafarge T, 2011, CROP ADAPTATION TO CLIMATE CHANGE, P298
   Lakew B, 2013, EUPHYTICA, V191, P231, DOI 10.1007/s10681-012-0795-9
   Lantican M.A., 2016, Impacts of international wheat improvement research, 1994-2014
   Li L, 2013, GENET RESOUR CROP EV, V60, P1801, DOI 10.1007/s10722-013-9955-6
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   Lopes MS, 2015, J EXP BOT, V66, P3477, DOI 10.1093/jxb/erv122
   Machida-Hirano R, 2015, BREEDING SCI, V65, P26, DOI 10.1270/jsbbs.65.26
   Maxted N., 2009, Establishment of a Global Network for the, P266
   Mba C., 2012, Agric. FoodSecur, VI, P1, DOI DOI 10.1186/2048-7010-1-7
   McCouch S, 2013, NATURE, V499, P23, DOI 10.1038/499023a
   Meilleur BA, 2004, BIODIVERS CONSERV, V13, P663, DOI 10.1023/B:BIOC.0000011719.03230.17
   Mercer KL, 2010, EVOL APPL, V3, P480, DOI 10.1111/j.1752-4571.2010.00137.x
   Michael TP, 2015, CURR OPIN PLANT BIOL, V24, P71, DOI 10.1016/j.pbi.2015.02.002
   Morris M, 2006, HORTSCIENCE, V41, P30, DOI 10.21273/HORTSCI.41.1.30
   Nelson G.C., 2009, CLIMATE CHANGE IMPAC, V21, P20
   Nguyen GN, 2020, PLANTS-BASEL, V9, DOI 10.3390/plants9070817
   Noriega IL, 2013, RESOURCES-BASEL, V2, P231, DOI 10.3390/resources2030231
   Oszako T., 2015, Folia Forestalia Polonica. Series A, Forestry, V57, P194
   Parra-Quijano M., 2012, Genetic Resources and Crop Evolution, V59, P205, DOI 10.1007/s10722-011-9676-7
   Parra-Quijano M, 2012, SPAN J AGRIC RES, V10, P419, DOI [10.5424/sjar/2012102-303-11, 10.5424/sjar/2011102-303-11]
   R Development Core Team, 2011, R: a language and environmental for statistical computing
   Redden RJ, 2011, CROP ADAPTATION TO CLIMATE CHANGE, P482
   Rejesus RM, 1996, PLANT VAR SEEDS, V9, P129
   Renkow M, 2010, FOOD POLICY, V35, P391, DOI 10.1016/j.foodpol.2010.04.006
   Ribaut JM, 2010, CURR OPIN PLANT BIOL, V13, P213, DOI 10.1016/j.pbi.2009.12.011
   Rosegrant MW, 2003, SCIENCE, V302, P1917, DOI 10.1126/science.1092958
   Schafleitner R, 2011, CROP ADAPTATION TO CLIMATE CHANGE, P287
   Seyoum A, 2015, APPL ECON PERSPECT P, V37, P667, DOI 10.1093/aepp/ppv003
   Sinclair TR, 2004, TRENDS PLANT SCI, V9, P70, DOI 10.1016/j.tplants.2003.12.008
   Singh RP, 2011, CROP ADAPTATION TO CLIMATE CHANGE, P166
   Smale M, 2002, WORLD DEV, V30, P1639, DOI 10.1016/S0305-750X(02)00055-4
   Smith B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966
   Tanksley SD, 1997, SCIENCE, V277, P1063, DOI 10.1126/science.277.5329.1063
   Tester M, 2010, SCIENCE, V327, P818, DOI 10.1126/science.1183700
   Thirtle C., 2001, USDA EC RES SERV AGR, V772, P22
   Thornton PK, 2014, GLOBAL CHANGE BIOL, V20, P3313, DOI 10.1111/gcb.12581
   Trethowan RM, 2011, CROP ADAPTATION TO CLIMATE CHANGE, P218
   Tucker CM, 2010, GLOBAL ENVIRON CHANG, V20, P23, DOI 10.1016/j.gloenvcha.2009.07.006
   Turner NC, 2011, CROP ADAPTATION TO CLIMATE CHANGE, P156
   Upadhyaya HD, 2011, EUPHYTICA, V180, P27, DOI 10.1007/s10681-011-0449-3
   UPRETY DC, 1987, J AGRON CROP SCI, V159, P349, DOI 10.1111/j.1439-037X.1987.tb00113.x
   Vadez V, 2011, CROP ADAPTATION TO CLIMATE CHANGE, P186
   Van Zonneveld M., 2011, COLLECTING PLANT GEN, P26
   Varshney RK, 2019, PLANT BREEDING, V138, P379, DOI 10.1111/pbr.12744
   Vernooy R., 2012, The custodians of biodiversity: sharing access to and benefits of genetic resources, P163
   Vernooy R., 2015, Community seed banks: Origins, evolution and prospects, DOI DOI 10.4324/9781315886329
   Vernooy R, 2014, RESOURCES-BASEL, V3, P636, DOI 10.3390/resources3040636
   Vigouroux Y, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019563
   Villa Tania Carolina Camacho, 2005, Plant Genetic Resources Characterization and Utilization, V3, P373, DOI 10.1079/PGR200591
   Vinet L., 2010, CLIMATE CHANGE 201 A, P1
   Wassmann R, 2009, ADV AGRON, V101, P59, DOI 10.1016/S0065-2113(08)00802-X
   Yadav SS, 2011, CROP ADAPTATION TO CLIMATE CHANGE, P1, DOI 10.1002/9780470960929
   Zhang HY, 2017, EVOL APPL, V10, P5, DOI 10.1111/eva.12434
   Zhong GY, 2001, EUPHYTICA, V118, P137, DOI 10.1023/A:1004048019670
   Zohary D, 2004, ECON BOT, V58, P5, DOI 10.1663/0013-0001(2004)058[0005:USATEO]2.0.CO;2
NR 102
TC 34
Z9 37
U1 2
U2 15
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
SN 2223-7747
J9 PLANTS-BASEL
JI Plants-Basel
PD SEP
PY 2020
VL 9
IS 9
AR 1129
DI 10.3390/plants9091129
PG 19
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Plant Sciences
GA OD6FJ
UT WOS:000579947100001
PM 32878309
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Westoby, R
   McNamara, KE
   Kumar, R
   Nunn, PD
AF Westoby, Ross
   McNamara, Karen E.
   Kumar, Roselyn
   Nunn, Patrick D.
TI From community-based to locally led adaptation: Evidence from Vanuatu
SO AMBIO
LA English
DT Article
DE Climate change; Community-based adaptation; Developing countries;
   Vanuatu
ID CLIMATE-CHANGE ADAPTATION; ADAPTIVE CAPACITY; ISLAND; BARRIERS
AB The Green Climate Fund, donors, governments and non-governmental organisations, among others, are pouring vast amounts of financial and human capital into community-based adaptation across the developing world. The underlying premise is that the world's majority-who have the minority of financial capital-are living on the margins and are the most vulnerable and at risk from climate change. Such a reality, coupled with a deficit understanding of the majority world, is resulting in significant implications for how the 'adaptation industry' (those that fund, design and implement projects) go about their work. Drawing on research evaluating 15 community-based adaptation projects in Vanuatu we found that despite genuine attempts, projects invariably fell short of success, longevity and sustainability. We argue that the indifferent, albeit variable, success of most projects is attributable to the construction of the geographical scale of 'community-based' and the deficit view flowing down to the 'community' through hubris policy, funding guidelines and individual implementers. Our findings show that 'experts' are working in Pacific communities, conducting assessments that involve asking what 'community' needs are, going away to design projects, coming back and implementing projects, which communities are inevitably challenged to sustain once funding has ceased. We postulate that these limitations stem from such a formation of adaptation work that pejoratively fails to see Pacific Islanders in situ as the best litmus test of their own agendas, needs, aspirations and futures and in the best position to make decisions for themselves about what and how they might become more resilient. We claim from a growing body of evidence and new frontiers in research that, rather than adaptation being 'community-based', it needs to be 'locally led', not limited to 'communities', and should take place across different entry points and incorporate, as appropriate, elements of autonomous/Indigenous peoples ownership.
C1 [Westoby, Ross] Griffith Univ, Griffith Inst Tourism, Southport, Qld 4222, Australia.
   [McNamara, Karen E.] Univ Queensland, Sch Earth & Environm Sci, St Lucia, Qld 4072, Australia.
   [Kumar, Roselyn; Nunn, Patrick D.] Univ Sunshine Coast, Sch Social Sci, Sippy Downs, Qld 4558, Australia.
C3 Griffith University; Griffith University - Gold Coast Campus; University
   of Queensland; University of the Sunshine Coast
RP McNamara, KE (corresponding author), Univ Queensland, Sch Earth & Environm Sci, St Lucia, Qld 4072, Australia.
EM r.westoby@griffith.edu.au; karen.mcnamara@uq.edu.au; rnunn1@usc.edu.au;
   pnunn@usc.edu.au
RI Westoby, Ross/G-8895-2019; Nunn, Patrick/C-7864-2011; McNamara,
   Karen/D-7322-2013
OI Westoby, Ross/0000-0001-9868-2246; Nunn, Patrick/0000-0001-9295-5741;
   Kumar, Roselyn/0000-0002-3940-0488; McNamara, Karen/0000-0002-4511-8403
FU Australian Research Council Linkage grant [LP160100941]; Australian
   Research Council [LP160100941] Funding Source: Australian Research
   Council
FX We are grateful to the participants for providing valuable and
   meaningful insights in this study. We also wish to thank our local
   research assistant who was instrumental in organising fieldwork
   logistics and providing translation. This research was funded through an
   Australian Research Council Linkage grant (number LP160100941).
CR Adger WN, 2003, ECON GEOGR, V79, P387
   [Anonymous], 2019, MOVEMENT COMMUNITY L
   [Anonymous], ANTIPODE, DOI DOI 10.1111/ANTI.12814
   [Anonymous], 2014, CLIM VAR EXTR CHANG
   Ayers J, 2009, ENVIRONMENT, V51, P22, DOI 10.3200/ENV.51.4.22-31
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Barnett J, 2008, POLIT SCI, V60, P31, DOI 10.1177/003231870806000104
   Berkes F, 2002, CONSERV ECOL, V5
   Betzold C, 2016, 46 AUSTR NAT U DEV P
   Bours D., 2013, Monitoring and evaluation for climate change adaptation: A synthesis of tools, frameworks and approaches
   Buggy L, 2016, CLIM DEV, V8, P270, DOI 10.1080/17565529.2015.1041445
   Bulley D, 2013, POLITICS-OXFORD, V33, P265, DOI 10.1111/1467-9256.12025
   Campbell J.R., 1990, INTERNATIONALJOURNAL, V8, P401
   Clarke T, 2019, ISL STUD J, V14, P59, DOI 10.24043/isj.80
   Conway D, 2014, NAT CLIM CHANGE, V4, P339, DOI 10.1038/NCLIMATE2199
   Diya, 2009, ELITE CAPTURE CORRUP
   Dodman D, 2013, J INT DEV, V25, P640, DOI 10.1002/jid.1772
   Dumaru P, 2010, WIRES CLIM CHANGE, V1, P751, DOI 10.1002/wcc.65
   Ensor J., 2009, UNDERSTANDING CLIMAT
   ENSOR J, 2016, RESILIENCE REALITIES
   Faulkner L., 2015, N Dir Eval, P89, DOI DOI 10.1002/EV.20133
   Fenton A, 2014, CLIM DEV, V6, P388, DOI 10.1080/17565529.2014.953902
   Fforde C, 2013, MEDIA INT AUST, P162, DOI 10.1177/1329878X1314900117
   Fogarty W., 2018, Deficit Discourse and Strengths-Based Approaches: Changing the Narratives of Aboriginal and Torres Strait Islanders Health and Wellbeing
   Hagelsteen M, 2013, INT J DISAST RISK RE, V3, P4, DOI 10.1016/j.ijdrr.2012.11.001
   Hedger M.M., 2008, Evaluation of adaptation to climate change from a development perspective
   Heintz H, 2018, WORLD RISK REPORT 20
   Heltberg R, 2009, GLOBAL ENVIRON CHANG, V19, P89, DOI 10.1016/j.gloenvcha.2008.11.003
   Juhola S, 2016, ENVIRON SCI POLICY, V55, P135, DOI 10.1016/j.envsci.2015.09.014
   Kirkby P, 2018, CLIM DEV, V10, P577, DOI 10.1080/17565529.2017.1372265
   Klöck C, 2019, J ENVIRON DEV, V28, P196, DOI 10.1177/1070496519835895
   Kretzmann J., 1993, BUILDING COMMUNITIES
   Lauer M, 2017, ENVIRON CONSERV, V44, P336, DOI 10.1017/S0376892917000303
   Mansuri G, 2004, WORLD BANK RES OBSER, V19, P1, DOI 10.1093/wbro/lkh012
   Mathie A., 2003, DEV PRACT, V13, P474, DOI DOI 10.1080/0961452032000125857
   McNamara KE, 2017, LOCAL ENVIRON, V22, P443, DOI 10.1080/13549839.2016.1216954
   McNamara KE, 2014, CLIMATIC CHANGE, V123, P121, DOI 10.1007/s10584-013-1047-2
   Nalau J, 2018, WEATHER CLIM SOC, V10, P851, DOI 10.1175/WCAS-D-18-0032.1
   Nunn P, 2018, INT J CLIM CHANG STR, V10, P245, DOI 10.1108/IJCCSM-01-2017-0012
   Nunn PD, 2019, ONE EARTH, V1, P31, DOI 10.1016/j.oneear.2019.08.004
   Nunn PD, 2013, SINGAPORE J TROP GEO, V34, P143, DOI 10.1111/sjtg.12021
   Piggott-McKellar AE, 2019, LOCAL ENVIRON, V24, P374, DOI 10.1080/13549839.2019.1580688
   Reid H, 2014, COMMUNITY-BASED ADAPTATION TO CLIMATE CHANGE: SCALING IT UP, P3
   Remling E, 2016, INT J CLIM CHANG STR, V8, P375, DOI 10.1108/IJCCSM-07-2015-0101
   Rose H., 2019, Global Englishes for language teaching
   Said EdwardW., 2019, Orientalism
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Spires M, 2014, CLIM DEV, V6, P277, DOI 10.1080/17565529.2014.886995
   Titz A, 2018, SOCIETIES, V8, DOI 10.3390/soc8030071
   United Nations, 2016, WORLD RISK REPORT 20
   Vanuatu National Statistics Office, 2016, VAN 2016 POSTTC PAM
   Warrick O, 2017, REG ENVIRON CHANGE, V17, P1039, DOI 10.1007/s10113-016-1036-x
   Westoby R, 2013, DEVELOPMENT, V56, P363, DOI [10.1057/dev.2014.2, DOI 10.1057/DEV.2014.2]
   World Bank, 2018, COMM DRIV DEV
NR 54
TC 65
Z9 68
U1 1
U2 26
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0044-7447
EI 1654-7209
J9 AMBIO
JI Ambio
PD SEP
PY 2020
VL 49
IS 9
BP 1466
EP 1473
DI 10.1007/s13280-019-01294-8
EA NOV 2019
PG 8
WC Engineering, Environmental; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Environmental Sciences & Ecology
GA MC7EE
UT WOS:000499641400002
PM 31776968
OA Green Published
DA 2025-01-10
ER

PT J
AU Rondhi, M
   Khasan, AF
   Mori, Y
   Kondo, T
AF Rondhi, Mohammad
   Khasan, Ahmad Fatikhul
   Mori, Yasuhiro
   Kondo, Takumi
TI Assessing the Role of the Perceived Impact of Climate Change on National
   Adaptation Policy: The Case of Rice Farming in Indonesia
SO LAND
LA English
DT Article
DE climate change; perceived impact of climate change; climate change
   adaptation; ordered probit regression; determinants of climate change
   impact
ID AGRICULTURAL PRODUCTIVITY; FOOD SECURITY; FARMER PERCEPTIONS; RISK;
   DETERMINANTS; YIELD; VULNERABILITY; PERSPECTIVES; TEMPERATURE;
   GOVERNANCE
AB Climate change (CC) is one of the primary threats to the agricultural sector in developing countries. Several empirical studies have shown that the implementation of adaptation practices can reduce the adverse effects of CC. The likelihood of farmers performing adaptation practices is mostly influenced by the degree of CC impact that they perceive. Thus, we identified the characteristics of farmers that affect the degree of the CC impact that they perceive. We used data from the Indonesian Rice Farm Household survey consisting of 87,330 farmers. An ordered probit regression model was used to estimate the effect of each variable on the degree of the perceived impact of CC. The results of this study confirm those of previous empirical studies. Several variables that have been identified as having a positive effect on farmer adaptation practices, such as farmer education, land tenure, irrigation infrastructure, cropping system, chemical fertilizer application, access to extension services, and participation in farmer groups, negatively affect the degree of the perceived impact of CC. However, a different result was found in the estimation of the gender variable. We found that female farmers have a higher CC resilience and ability to withstand climatic shocks and risks than male farmers. Female farmers have a more positive perception of future farming conditions than male farmers. We recommend the implementation of a national adaptation policy that use and expand the channel of agricultural extension services to deliver the planned adaptation policy, and prioritizes farmers with insecure land tenure. Additionally, we encourage the increasing of female involvement in the CC adaptation practices and decision-making processes.
C1 [Rondhi, Mohammad; Khasan, Ahmad Fatikhul] Univ Jember, Dept Agribusiness, Jember 68121, Indonesia.
   [Mori, Yasuhiro; Kondo, Takumi] Hokkaido Univ, Res Fac Agr, Sapporo, Hokkaido 0608589, Japan.
C3 Universitas Jember; Hokkaido University
RP Rondhi, M; Khasan, AF (corresponding author), Univ Jember, Dept Agribusiness, Jember 68121, Indonesia.
EM rondhi.faperta@unej.ac.id; ahmad.fatih@unej.ac.id;
   ymouri@agecon.agr.hokudai.ac.jp; kondot@agecon.agr.hokudai.ac.jp
RI KONDO, Takumi/HPE-7657-2023; Rondhi, Mohammad/W-2208-2019
OI Khasan, Ahmad/0000-0003-0209-834X; Rondhi, Mohammad/0000-0002-6860-4957
FU Japan Society for the Promotion of Science [18K05839]; Grants-in-Aid for
   Scientific Research [18K05839] Funding Source: KAKEN
FX This research was funded by the Japan Society for the Promotion of
   Science, Grant Number: 18K05839.
CR Abdul-Rahaman A, 2018, FOOD POLICY, V81, P95, DOI 10.1016/j.foodpol.2018.10.007
   Abid M, 2016, J RURAL STUD, V47, P254, DOI 10.1016/j.jrurstud.2016.08.005
   Ajuang CO, 2016, SPRINGERPLUS, V5, DOI 10.1186/s40064-016-2699-y
   Al-Amin AQ, 2016, FUTURES, V83, P50, DOI 10.1016/j.futures.2016.04.002
   Ali A, 2017, CLIM RISK MANAG, V16, P183, DOI 10.1016/j.crm.2016.12.001
   [Anonymous], PACIFIC SCI REV A
   [Anonymous], 2014, Adapting to climate change through land and water management in eastern africa (Tech. Rep.)
   [Anonymous], MONOCULTURE DO INTEN
   [Anonymous], ARE VULNERABLE COUNT
   [Anonymous], PROCEDIA ENV SCI
   [Anonymous], 2011, FAO WATER REPORTS
   [Anonymous], 2014, Environmental Policy Collection
   [Anonymous], 2019, APPL ENV ED COMMUNIC, DOI DOI 10.1080/1533015X.2018.1454358
   [Anonymous], 2007, ASSESSMENT ADAPTATIO
   [Anonymous], 2008, LAND TENURE WORK PAP
   [Anonymous], 2016, INT J AGR RES, DOI [DOI 10.3923/ijar.2016.1.12, DOI 10.3923/IJAR.2016.1.12]
   [Anonymous], 2012, J EKON STUD PEMBANG
   [Anonymous], NAT ACT PLAN CLIM CH
   [Anonymous], 2009, GLOBAL ENVIRON CHANG, DOI DOI 10.1016/j.gloenvcha.2009.01.002
   [Anonymous], INCORPORATING CLIMAT
   [Anonymous], AGR STAT
   [Anonymous], LAND TENURE CLIMATE
   [Anonymous], CLIMATE CHANGE WATER
   [Anonymous], 2018, AGRARIS J AGRIBUSI R
   [Anonymous], LEVERAGING COBENEFIT
   [Anonymous], STAT YB IND
   [Anonymous], NUMB FARM HOUS CULT
   [Anonymous], 2015, J EKONOMI DAN STUDI
   [Anonymous], INFORM PERTAANIAN
   [Anonymous], ANN WORLD BANK C LAN
   Bandara JS, 2014, ECON ANAL POLICY, V44, P451, DOI 10.1016/j.eap.2014.09.005
   Barbier EB, 2018, REV ENV ECON POLICY, V12, P26, DOI 10.1093/reep/rex023
   Bohensky EL, 2016, CLIM RISK MANAG, V12, P17, DOI 10.1016/j.crm.2015.11.004
   Brown Katrina., 2016, RESILIENCE DEV GLOBA
   Chalise S, 2017, ECON MODEL, V62, P43, DOI 10.1016/j.econmod.2017.01.014
   Cline WilliamR., 2007, Global Warming and Agriculture: Impact Estimates by Country
   Davis K, 2012, WORLD DEV, V40, P402, DOI 10.1016/j.worlddev.2011.05.019
   Di Gregorio M, 2019, GLOBAL ENVIRON CHANG, V54, P64, DOI 10.1016/j.gloenvcha.2018.10.003
   Elum ZA, 2017, CLIM RISK MANAG, V16, P246, DOI 10.1016/j.crm.2016.11.001
   Fahad S, 2018, LAND USE POLICY, V79, P301, DOI 10.1016/j.landusepol.2018.08.018
   Forsyth T, 2018, WORLD DEV, V111, P13, DOI 10.1016/j.worlddev.2018.06.023
   Fosu-Mensah B. Y., 2012, Environment Development and Sustainability, V14, P495, DOI 10.1007/s10668-012-9339-7
   Gawith D, 2018, ECOL INDIC, V95, P907, DOI 10.1016/j.ecolind.2018.08.022
   Gilligan Carol., DIFFERENT VOICE PSYC
   Goeldner-Gianella L, 2019, OCEAN COAST MANAGE, V172, P14, DOI 10.1016/j.ocecoaman.2019.01.018
   Guodaar Lawrence, 2020, International Journal of Vegetable Science, V26, P15, DOI 10.1080/19315260.2019.1573393
   Hasan MK, 2019, J ENVIRON MANAGE, V237, P54, DOI 10.1016/j.jenvman.2019.02.028
   Jamshidi O, 2019, CLIM RISK MANAG, V23, P146, DOI 10.1016/j.crm.2018.06.002
   Juhola S, 2016, ENVIRON SCI POLICY, V55, P135, DOI 10.1016/j.envsci.2015.09.014
   Kabir MJ, 2017, LAND USE POLICY, V64, P212, DOI 10.1016/j.landusepol.2017.02.026
   Kahsay GA, 2016, ECOL ECON, V121, P54, DOI 10.1016/j.ecolecon.2015.11.016
   Khanal U, 2018, ECOL ECON, V144, P139, DOI 10.1016/j.ecolecon.2017.08.006
   Knox J, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/3/034032
   Kumar KSK, 2001, GLOBAL ENVIRON CHANG, V11, P147, DOI 10.1016/S0959-3780(01)00004-8
   Laplaza A, 2017, CLIM RISK MANAG, V17, P64, DOI 10.1016/j.crm.2017.04.003
   Lebel L, 2018, INT ENVIRON AGREEM-P, V18, P429, DOI 10.1007/s10784-018-9397-x
   Liddell TM, 2018, J EXP SOC PSYCHOL, V79, P328, DOI 10.1016/j.jesp.2018.08.009
   Liu WZ, 2019, ONCOL RES, V27, P1, DOI 10.3727/096504018X15172738893959
   Liverpool-Tasie LSO, 2014, FOOD POLICY, V46, P37, DOI 10.1016/j.foodpol.2014.01.006
   Lychuk TE, 2019, GEODERMA, V337, P664, DOI 10.1016/j.geoderma.2018.10.010
   Makuvaro V, 2018, J ARID ENVIRON, V152, P75, DOI 10.1016/j.jaridenv.2018.01.016
   Mase AS, 2017, CLIM RISK MANAG, V15, P8, DOI 10.1016/j.crm.2016.11.004
   Mavisakalyan A, 2019, EUR J POLIT ECON, V56, P151, DOI 10.1016/j.ejpoleco.2018.08.001
   McCarl BA, 2018, APPL ECON PERSPECT P, V40, P60, DOI 10.1093/aepp/ppx052
   Mendelsohn R, 1999, WORLD BANK RES OBSER, V14, P277, DOI 10.1093/wbro/14.2.277
   Mendelsohn R, 2001, ENVIRON DEV ECON, V6, P85, DOI 10.1017/S1355770X01000055
   Mendelsohn R., 2008, Journal of Natural Resources Policy Research, V1, P5, DOI [DOI 10.1080/19390450802495882, 10.1080/19390450802495882]
   Morton LW, 2017, CLIM RISK MANAG, V15, P18, DOI 10.1016/j.crm.2016.09.002
   Nakano Y, 2018, WORLD DEV, V105, P336, DOI 10.1016/j.worlddev.2017.12.013
   Neset TS, 2019, CLIM RISK MANAG, V23, P78, DOI 10.1016/j.crm.2018.12.003
   Niles MT, 2016, GLOBAL ENVIRON CHANG, V39, P133, DOI 10.1016/j.gloenvcha.2016.05.002
   NORDHAUS WD, 1991, ECON J, V101, P920, DOI 10.2307/2233864
   Perez C, 2015, GLOBAL ENVIRON CHANG, V34, P95, DOI 10.1016/j.gloenvcha.2015.06.003
   PETRICH CH, 1993, GLOBAL ENVIRON CHANG, V3, P53, DOI 10.1016/0959-3780(93)90014-C
   Poortinga W, 2019, GLOBAL ENVIRON CHANG, V55, P25, DOI 10.1016/j.gloenvcha.2019.01.007
   Ragasa C, 2018, WORLD DEV, V105, P25, DOI 10.1016/j.worlddev.2017.12.004
   RENN O, 1992, J SOC ISSUES, V48, P137, DOI 10.1111/j.1540-4560.1992.tb01949.x
   Rojas-Downing MM, 2017, CLIM RISK MANAG, V16, P145, DOI 10.1016/j.crm.2017.02.001
   Rondhi M, 2019, DATA BRIEF, V23, DOI 10.1016/j.dib.2019.103804
   Rondhi M, 2018, LAND-BASEL, V7, DOI 10.3390/land7040148
   Rust JM, 2019, ANIM FRONT, V9, P20, DOI 10.1093/af/vfy028
   Sarker MAR, 2014, ECON ANAL POLICY, V44, P405, DOI 10.1016/j.eap.2014.11.004
   Seo SN, 2011, ECOL ECON, V70, P825, DOI 10.1016/j.ecolecon.2010.12.004
   Shikuku KM, 2017, CLIM RISK MANAG, V16, P234, DOI 10.1016/j.crm.2017.03.001
   SLOVIC P, 1986, RISK ANAL, V6, P403, DOI 10.1111/j.1539-6924.1986.tb00953.x
   Slovic P., 1982, Risk Analysis, V2, P83, DOI [https://doi.org/10.1111/j.1539-6924.1982.tb01369.x, DOI 10.1111/J.1539-6924.1982.TB01369.X]
   Soto-Montes-de-Oca G, 2019, J ARID ENVIRON, V162, P74, DOI 10.1016/j.jaridenv.2018.10.006
   Stage J, 2010, ANN NY ACAD SCI, V1185, P150, DOI 10.1111/j.1749-6632.2009.05168.x
   Steeves L, 2019, MAR POLICY, V103, P121, DOI 10.1016/j.marpol.2019.02.024
   Stuart D, 2014, LAND USE POLICY, V36, P210, DOI 10.1016/j.landusepol.2013.08.011
   Surmaini E., 2011, Jurnal Penelitian dan Pengembangan Pertanian, V30, P1
   Susilowardhani A, 2014, PROCD SOC BEHV, V135, P3, DOI 10.1016/j.sbspro.2014.07.317
   vanderKaars S, 1997, QUATERN INT, V37, P67, DOI 10.1016/1040-6182(96)00002-X
   Waha K, 2013, GLOBAL ENVIRON CHANG, V23, P130, DOI 10.1016/j.gloenvcha.2012.11.001
   Weber EU, 2006, CLIMATIC CHANGE, V77, P103, DOI 10.1007/s10584-006-9060-3
   Weber EU, 2010, WIRES CLIM CHANGE, V1, P332, DOI 10.1002/wcc.41
   Work C, 2019, CLIM POLICY, V19, pS47, DOI 10.1080/14693062.2018.1527677
   Xie W, 2020, CHINA ECON REV, V62, DOI 10.1016/j.chieco.2018.11.007
   Yuliawan T, 2016, PROCEDIA ENVIRON SCI, V33, P214, DOI 10.1016/j.proenv.2016.03.072
   Zhang Q, 2019, GLOBAL PLANET CHANGE, V172, P298, DOI 10.1016/j.gloplacha.2018.10.017
   Zhang Q, 2015, GLOBAL PLANET CHANGE, V131, P63, DOI 10.1016/j.gloplacha.2015.05.007
   Zikra Muhammad, 2015, Procedia Earth and Planetary Science, V14, P57, DOI 10.1016/j.proeps.2015.07.085
NR 102
TC 28
Z9 29
U1 1
U2 19
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD MAY
PY 2019
VL 8
IS 5
AR 81
DI 10.3390/land8050081
PG 21
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA IE8YH
UT WOS:000472659100009
OA Green Submitted, Green Published, gold
DA 2025-01-10
ER

PT J
AU Vernon, MJ
   Sherriff, RL
   van Mantgem, P
   Kane, JM
AF Vernon, Michael J.
   Sherriff, Rosemary L.
   van Mantgem, Phillip
   Kane, Jeffrey M.
TI Thinning, tree-growth, and resistance to multi-year drought in a
   mixed-conifer forest of northern California
SO FOREST ECOLOGY AND MANAGEMENT
LA English
DT Article
DE Drought; Fuel treatments; Pima ponderosa; Pseudotsuga menziesii
ID SOUTHEASTERN KLAMATH MOUNTAINS; CLIMATE-CHANGE ADAPTATION;
   RADIAL-GROWTH; STAND DENSITY; SIERRA-NEVADA; DIE-OFF; MORTALITY;
   COMPETITION; PINE; RESPONSES
AB Drought is an important stressor in forest ecosystems that can influence tree vigor and survival. In the U.S., forest managers use two primary management techniques to promote resistance and resilience to drought: prescribed fire and mechanical thinning. Generally applied to reduce fuels and fire hazard, treatments may also reduce competition for resources that may improve tree-growth and reduce mortality during drought. A recent severe and prolonged drought in California provided a natural experiment to investigate tree-growth responses to fuel treatments and climatic stress. We assessed tree-growth from 299 ponderosa pine (Pinus ponderosa) and Douglas fir (Pseudotsuga menziesii) in treated and untreated stands during severe drought from 2012 to 2015 in the mixed conifer forests of Whiskeytown National Recreation Area (WNRA) in northern California. The treatment implemented at WNRA removed 34% of live basal area through mechanical thinning with a subsequent pile burning of residual fuels. Tree-growth was positively associated with crown ratio and negatively associated with competition and a 1-year lag of climate water deficit, an index of drought. Douglas-fir generally had higher annual growth than ponderosa pine, although factors affecting growth were the same for both species. Drought resistance, expressed as the ratio between mean growth during drought and mean growth pre-drought, was higher in treated stands compared to untreated stands during both years of severe drought (2014 and 2015) for ponderosa pine but only one year (2014) for Douglas-fir. Thinning improved drought resistance, but tree size, competition and species influenced this response. On-going thinning treatments focused on fuels and fire hazard reduction are likely to be effective at promoting growth and greater drought resistance in dry mixed-conifer forests. Given the likelihood of future droughts, land managers may choose to implement similar treatments to reduce potential impacts.
C1 [Vernon, Michael J.; Sherriff, Rosemary L.; Kane, Jeffrey M.] Humboldt State Univ, Dept Forestry & Wildland Resources, 1 Harpst St, Arcata, CA 95521 USA.
   [Sherriff, Rosemary L.] Humboldt State Univ, Dept Geog, 1 Harpst St, Arcata, CA 95521 USA.
   [van Mantgem, Phillip] US Geol Survey, Western Ecol Res Ctr, Redwood Field Stn, 1655 Heindon Rd, Arcata, CA 95521 USA.
C3 California State University System; California State Polytechnic
   University, Humboldt; California State University System; California
   State Polytechnic University, Humboldt; United States Department of the
   Interior; United States Geological Survey
RP Vernon, MJ (corresponding author), Humboldt State Univ, Dept Forestry & Wildland Resources, 1 Harpst St, Arcata, CA 95521 USA.
EM vernon.mikej@gmail.com
RI Kane, Jeffrey/AAB-6272-2019; Sherriff, Rosemary/ABD-3928-2020
FU USDA National Institute of Food and Agriculture; McIntire-Stennis
   Cooperative Forestry Research Program [CALZ-160]; National Park Service
   and U.S. Geological Survey
FX This work was supported by the USDA National Institute of Food and
   Agriculture, McIntire-Stennis Cooperative Forestry Research Program,
   Project # CALZ-160, the National Park Service and U.S. Geological
   Survey. J. Gibson and E. Engber at Whiskeytown NRA helped select
   research sites and provided pre-treatment data. D. Snow, R. Walls, H.
   Dunk, C. Brown, T. Gatumu, and C. Callahan provided field assistance and
   M. Wright aided in the statistical analysis. Thanks to A. Cowan for
   constructive feedback on all aspects of this research project. We thank
   S. Lee, J. Johnston, and two anonymous reviewers for helpful comments on
   previous versions of this manuscript. Any use of trade, firm, or product
   names is for descriptive purposes only and does not imply endorsement by
   the U.S. Government.
CR Adams HD, 2009, P NATL ACAD SCI USA, V106, P7063, DOI 10.1073/pnas.0901438106
   Agee JK, 2005, FOREST ECOL MANAG, V211, P83, DOI 10.1016/j.foreco.2005.01.034
   Allen CD, 2015, ECOSPHERE, V6, DOI 10.1890/ES15-00203.1
   [Anonymous], COOP CLIM DAT SUMM
   [Anonymous], 2010, R LANG ENV STAT COMP
   [Anonymous], WHISK FIR MAN PLAN D
   [Anonymous], HIST RESOURCE STUDY
   [Anonymous], 1989, N Z NAT SCI
   [Anonymous], EVAPOTRANSPIRATION M
   [Anonymous], 2011, REG 5 EC REST LEAD I
   [Anonymous], IPCC
   [Anonymous], 1990, Methods of dendrochronology: applications in the environmental sciences
   Bailey JD, 1998, FOREST ECOL MANAG, V108, P99, DOI 10.1016/S0378-1127(98)00216-3
   Begueria S., 2013, SPEI: Calculation of the Standardized Precipitation-Evaporation Index
   Bond BJ, 1999, OECOLOGIA, V120, P183, DOI 10.1007/s004420050847
   Bottero A, 2017, J APPL ECOL, V54, P1605, DOI 10.1111/1365-2664.12847
   Bradford JB, 2017, FRONT ECOL ENVIRON, V15, P11, DOI 10.1002/fee.1445
   Bréda N, 2006, ANN FOREST SCI, V63, P625, DOI 10.1051/forest:2006042
   Breshears DD, 2005, P NATL ACAD SCI USA, V102, P15144, DOI 10.1073/pnas.0505734102
   Bunn AG, 2008, DENDROCHRONOLOGIA, V26, P115, DOI 10.1016/j.dendro.2008.01.002
   Cailleret M, 2017, GLOBAL CHANGE BIOL, V23, P1675, DOI 10.1111/gcb.13535
   Carnwath GC, 2016, J ECOL, V104, P1421, DOI 10.1111/1365-2745.12604
   Collins BM, 2014, ECOL APPL, V24, P1879, DOI 10.1890/14-0971.1
   Cook BI, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1400082
   D'Amato AW, 2013, ECOL APPL, V23, P1735, DOI 10.1890/13-0677.1
   Das A, 2012, CAN J FOREST RES, V42, P1983, DOI 10.1139/x2012-142
   Das AJ, 2007, CAN J FOREST RES, V37, P580, DOI 10.1139/X06-262
   Dobrowski SZ, 2013, GLOBAL CHANGE BIOL, V19, P241, DOI 10.1111/gcb.12026
   Fekedulegn D, 2003, FOREST ECOL MANAG, V177, P409, DOI 10.1016/S0378-1127(02)00446-2
   Folke C, 2004, ANNU REV ECOL EVOL S, V35, P557, DOI 10.1146/annurev.ecolsys.35.021103.105711
   Ford KR, 2017, CAN J FOREST RES, V47, P53, DOI 10.1139/cjfr-2016-0188
   Franklin JF, 2012, J FOREST, V110, P429, DOI 10.5849/jof.10-006
   Fry DL, 2006, FOREST ECOL MANAG, V223, P428, DOI 10.1016/j.foreco.2005.12.021
   Gitlin AR, 2006, CONSERV BIOL, V20, P1477, DOI 10.1111/j.1523-1739.2006.00424.x
   Gray AN, 2002, CAN J FOREST RES, V32, P332, DOI 10.1139/X01-200
   Hasenauer H, 1996, FOREST ECOL MANAG, V84, P49, DOI 10.1016/0378-1127(96)03768-1
   Hegyi F., 1974, P IUFR M S40104 GROW, P74
   HOLMES R L, 1983, Tree-Ring Bulletin, V43, P69
   Hurteau M, 2007, CAN J FOREST RES, V37, P1681, DOI 10.1139/X07-028
   Kerhoulas LP, 2013, J APPL ECOL, V50, P1311, DOI 10.1111/1365-2664.12139
   Kohler M, 2010, EUR J FOREST RES, V129, P1109, DOI 10.1007/s10342-010-0397-9
   Kunstler G, 2011, J ECOL, V99, P300, DOI 10.1111/j.1365-2745.2010.01751.x
   Latham P, 2002, TREE PHYSIOL, V22, P137, DOI 10.1093/treephys/22.2-3.137
   Leonzo CM, 2010, FIRE ECOL, V6, P62, DOI 10.4996/fireecology.0603062
   Lloret F, 2011, OIKOS, V120, P1909, DOI 10.1111/j.1600-0706.2011.19372.x
   Luo LF, 2017, GEOPHYS RES LETT, V44, P3184, DOI 10.1002/2016GL072027
   McDowell N, 2008, NEW PHYTOL, V178, P719, DOI 10.1111/j.1469-8137.2008.02436.x
   McDowell NG, 2006, ECOL APPL, V16, P1164, DOI 10.1890/1051-0761(2006)016[1164:HMOPPG]2.0.CO;2
   McDowell NG, 2015, NAT CLIM CHANGE, V5, P669, DOI [10.1038/nclimate2641, 10.1038/NCLIMATE2641]
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Millar CI, 2015, SCIENCE, V349, P823, DOI 10.1126/science.aaa9933
   Miller D.A., 1998, Earth Interact, V2, P1, DOI [DOI 10.1175/1087-3562(1998)002ANDLT;0001:ACUSMSANDGT;2.3.CO;2, DOI 10.1175/1087-3562(1998)002<0001:ACUSMS>2.3.C0;2, 10.1175/1087-3562(1998)002<0001:ACUSMS>2.3.CO;2, DOI 10.1175/1087-3562(1998)002<0001:ACUSMS>2.3.CO;2]
   Ogle K, 2000, ECOLOGY, V81, P3237, DOI 10.1890/0012-9658(2000)081[3237:TRVIPP]2.0.CO;2
   Pinheiro J. C., 2009, Mixed-effects models in S and S-Plus, DOI DOI 10.1007/BF01313644
   R Core Team, 2016, R: A Language and Environment for Statistical Computing
   Safford HD, 2012, FOREST ECOL MANAG, V274, P17, DOI 10.1016/j.foreco.2012.02.013
   Sánchez-Salguero R, 2015, FOREST ECOL MANAG, V358, P12, DOI 10.1016/j.foreco.2015.08.034
   Seager R, 2015, J CLIMATE, V28, P6997, DOI 10.1175/JCLI-D-14-00860.1
   Sohn JA, 2016, ECOL APPL, V26, P2190, DOI 10.1002/eap.1373
   Sohn JA, 2016, FOREST ECOL MANAG, V380, P261, DOI 10.1016/j.foreco.2016.07.046
   SPRINZ PT, 1987, CAN J FOREST RES, V17, P534, DOI 10.1139/x87-089
   Stephenson NL, 1998, J BIOGEOGR, V25, P855, DOI 10.1046/j.1365-2699.1998.00233.x
   Thomas Z, 2015, FOREST SCI, V61, P93, DOI 10.5849/forsci.13-085
   Trenberth KE, 2014, NAT CLIM CHANGE, V4, P17, DOI 10.1038/NCLIMATE2067
   van Mantgem PJ, 2016, FIRE ECOL, V12, P13, DOI 10.4996/fireecology.1201013
   van Mantgem PJ, 2009, SCIENCE, V323, P521, DOI 10.1126/science.1165000
   Weed AS, 2013, ECOL MONOGR, V83, P441, DOI 10.1890/13-0160.1
   Williams AP, 2015, GEOPHYS RES LETT, V42, P6819, DOI 10.1002/2015GL064924
   Young DJN, 2017, ECOL LETT, V20, P78, DOI 10.1111/ele.12711
   Zuur Alain F., 2009, P1
NR 70
TC 68
Z9 82
U1 3
U2 114
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0378-1127
EI 1872-7042
J9 FOREST ECOL MANAG
JI For. Ecol. Manage.
PD AUG 15
PY 2018
VL 422
BP 190
EP 198
DI 10.1016/j.foreco.2018.03.043
PG 9
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA GH7SO
UT WOS:000433653900020
DA 2025-01-10
ER

PT J
AU Halofsky, JE
   Andrews-Key, SA
   Edwards, JE
   Johnston, MH
   Nelson, HW
   Peterson, DL
   Schmitt, KM
   Swanston, CW
   Williamson, TB
AF Halofsky, Jessica E.
   Andrews-Key, Sheri A.
   Edwards, Jason E.
   Johnston, Mark H.
   Nelson, Harry W.
   Peterson, David L.
   Schmitt, Kristen M.
   Swanston, Christopher W.
   Williamson, Tim B.
TI Adapting forest management to climate change: The state of science and
   applications in Canada and the United States
SO FOREST ECOLOGY AND MANAGEMENT
LA English
DT Article; Proceedings Paper
CT 11th North American Forest Ecology Workshop (NAFEW) on Sustaining
   Forests - From Restoration to Conservation
CY JUN, 2017
CL Edmonton, CANADA
DE Climate change; Vulnerability assessment; Adaptation; Community of
   practice; Science-management partnerships; Sustainable forest management
ID CHANGE ADAPTATION; CHANGE VULNERABILITY; RESOURCE-MANAGEMENT; BARRIERS;
   PARTNERSHIPS
AB Over the last decade, considerable progress has been made in developing vulnerability assessment tools and in applying these methodologies to identify and implement climate change adaptation approaches for forest ecosystems and forest management organizations in Canada and the United States. However, given that adaptation processes are in early stages, evaluation of approaches across agency, organizational, and geographic boundaries is critical. Thus, we conducted a qualitative comparison of three conceptual frameworks for climate change vulnerability assessment and adaptation efforts in the Canadian and United States forestry agency contexts. We focus our comparison on components of the conceptual frameworks, development process, intended users, similarities and differences in institutional contexts (geographic and organizational), and implementation. Finally, we present case studies to illustrate how the frameworks have been implemented on the ground and in different contexts. Despite different trajectories of development, the Canadian and US forest agencies have developed similar conceptual frameworks for vulnerability assessment and adaptation. We found that key components of the conceptual frameworks included: establishing a science-management partnership; evaluating current forest conditions and management objectives; conducting detailed science-based vulnerability assessments; developing adaptation approaches and on-the-ground tactics; implementing adaptation tactics; and monitoring outcomes and adjusting as needed. However, the contexts in which these frameworks are implemented vary considerably within and between countries, mostly because of differences in land ownership, management norms, and organizational cultures. On-the-ground applications, although slow to develop, are beginning to proliferate, providing examples that can be emulated by others. A strategy for accelerating implementation of adaptation in Canada and the United States is suggested, building on successes by federal agencies and extending to public, private, and crown lands.
C1 [Halofsky, Jessica E.] Univ Washington, Sch Environm & Forest Sci, Box 352100, Seattle, WA 98195 USA.
   [Andrews-Key, Sheri A.] Univ Saskatchewan, Sch Environm & Sustainabil, 117 Sci Pl, Saskatoon, SK S7N5C8, Canada.
   [Edwards, Jason E.; Williamson, Tim B.] Nat Resources Canada, Canadian Forest Serv, Northern Forestry Ctr, 5320-122nd St, Edmonton, AB T6H 3S5, Canada.
   [Johnston, Mark H.] Saskatchewan Res Council, 15 Innovat Blvd, Saskatoon, SK S7N 2X8, Canada.
   [Nelson, Harry W.] Univ British Columbia, Dept Forest Resources Management, 4609-2424 Main Mall, Vancouver, BC V6T 1Z4, Canada.
   [Peterson, David L.] US Forest Serv, Pacific Northwest Res Stn, 400 N 34th St, Seattle, WA 98103 USA.
   [Schmitt, Kristen M.] Michigan Technol Univ, Northern Inst Appl Climate Sci, 410 MacInnes Dr, Houghton, MI 49931 USA.
   [Swanston, Christopher W.] US Forest Serv, Northern Res Stn, Northern Inst Appl Climate Sci, 410 MacInnes Dr, Houghton, MI 49931 USA.
C3 University of Washington; University of Washington Seattle; University
   of Saskatchewan; Natural Resources Canada; Canadian Forest Service;
   University of British Columbia; United States Department of Agriculture
   (USDA); United States Forest Service; Michigan Technological University;
   United States Department of Agriculture (USDA); United States Forest
   Service
RP Halofsky, JE (corresponding author), Univ Washington, Sch Environm & Forest Sci, Box 352100, Seattle, WA 98195 USA.
EM jhalo@uw.edu
RI Nelson, Harry/KRP-7681-2024
CR [Anonymous], 2012, FED REG, V77
   [Anonymous], 2012, ADAPTING SUSTAINABLE
   [Anonymous], 1995, SILV TERMS CAN
   [Anonymous], 2012, ADAPTING SUSTAINABLE
   [Anonymous], 2011, PRACTITIONERS GUIDE
   [Anonymous], 2011, SCANNING CONSERVATIO
   [Anonymous], 2014, ADAPTING SUSTAINABLE
   [Anonymous], 2012, Adapting Sustainable Forest Management to Climate Change: A Framework for Assessing Vulnerability and Mainstreaming Adaptation in to Decision Making
   [Anonymous], 2014, FOREST RESOURCES US
   Bierbaum R, 2013, MITIG ADAPT STRAT GL, V18, P361, DOI 10.1007/s11027-012-9423-1
   Biringer J., 2003, BUYING TIME USERS MA, P41
   Blate G. M., 2009, Unasylva (English ed.), V60, P57
   Brandt LA, 2017, J FOREST, V115, P212, DOI 10.5849/jof.15-147
   Campbell ElizabethM., 2009, ECOLOGICAL RESILIENC
   [ CCFM] Canadian Council of Forest Ministers, 2008, VIS CAN FOR 2008
   Edwards J.E., 2015, CLIMATE CHANGE SUSTA
   Eisenack K, 2014, NAT CLIM CHANGE, V4, P867, DOI 10.1038/NCLIMATE2350
   Fischlin A., 2007, CLIMATE CHANGE 2007
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   Furness E, 2012, FOREST CHRON, V88, P519, DOI 10.5558/tfc2012-099
   Gauthier S, 2014, ENVIRON REV, V22, P256, DOI 10.1139/er-2013-0064
   Gray P. A., 2012, ADAPTING SUSTAINABLE
   Halofsky J.E., 2015, Climate Change Adaptation in United States Federal Natural Resource Science and -Management Agencies: A Synthesis
   Halofsky JE, 2011, PNW-GTR-844
   HALOFSKY JE, 2014, US FOR SERV ROCKY MT, V71, P229
   Halofsky JE, 2018, CLIMATIC CHANGE, V146, P89, DOI 10.1007/s10584-017-1972-6
   Halofsky JE, 2017, MT RES DEV, V37, P340, DOI 10.1659/MRD-JOURNAL-D-16-00087.1
   Halofsky JE, 2016, FORESTS, V7, DOI 10.3390/f7110268
   Halofsky JE, 2016, ATMOSPHERE-BASEL, V7, DOI 10.3390/atmos7030046
   Halofsky JE, 2011, J FOREST, V109, P219
   Hotte N, 2016, GLOBAL ENVIRON CHANG, V36, P163, DOI 10.1016/j.gloenvcha.2016.01.001
   Innes J., 2009, IUFRO World Series, V22, P135
   Janowiak M. K., 2011, NRS81 USDA FOR SERV, DOI 10.2737/NRS-GTR-81
   Janowiak M. K., 2017, NRS173 USDA FOR SERV
   Janowiak MK, 2014, J FOREST, V112, P424, DOI 10.5849/jof.13-094
   Johnston M., 2009, VULNERABILITY CANADA
   Johnston M. H., 2013, ADAPTING SUSTAINABLE
   Klenk NL, 2015, WIRES CLIM CHANGE, V6, P189, DOI 10.1002/wcc.329
   Klenk NL, 2011, FOREST CHRON, V87, P351, DOI 10.5558/tfc2011-025
   Lawler JJ, 2010, FRONT ECOL ENVIRON, V8, P35, DOI 10.1890/070146
   Le Goff H, 2014, FOREST CHRON, V90, P228, DOI 10.5558/tfc2014-041
   Littell JS, 2012, CLIMATIC CHANGE, V110, P269, DOI 10.1007/s10584-011-0066-0
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Morelli TL, 2012, PSWRP263 USDA FOR SE
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Myer G., 2013, ROGUE BASIN ACTION P
   Nagel LM, 2017, J FOREST, V115, P167, DOI 10.5849/jof.16-039
   Natural Resources Canada (NRCAN), 2016, STAT CAN FOR ANN REP
   Nelson H., 2012, ADAPTING CLIMATE CHA
   Nelson H., 2011, VALIDATING IMPACTS E
   Nelson HW, 2016, FOREST ECOL MANAG, V360, P388, DOI 10.1016/j.foreco.2015.09.038
   Obama B., 2009, 13514 US GOV PRINT O
   Obama B., 2013, 1365 WHIT HOUS OFF P
   Ogden AE, 2007, INT FOREST REV, V9, P713, DOI 10.1505/ifor.9.3.713
   Ogden AE, 2008, MITIG ADAPT STRAT GL, V13, P833, DOI 10.1007/s11027-008-9144-7
   Ontl TA, 2018, CLIMATIC CHANGE, V146, P75, DOI 10.1007/s10584-017-1983-3
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Peterson D. L., 2014, ADV GLOBAL CHANGE RE, V57
   Peterson David L., 2011, U S Forest Service Pacific Northwest Research Station General Technical Report PNW-GTR, P1
   POLLARD DFW, 1985, FOREST CHRON, V61, P312, DOI 10.5558/tfc61312-4
   Price DT, 2013, ENVIRON REV, V21, P322, DOI 10.1139/er-2013-0042
   Raymond C.L., 2014, General Technical Report PNW-GTR-89
   Steenberg J. W. N., 2013, Journal of Sustainable Development, V6, P32
   Swanston C, 2018, CLIMATIC CHANGE, V146, P103, DOI 10.1007/s10584-017-2065-2
   Swanston CW., 2016, Forest Adaptation Resources: climate change tools and approaches for land managers, V2nd, DOI DOI 10.2737/NRS-GTR-87-2
   Timberlake TJ, 2017, CLIMATIC CHANGE, V144, P257, DOI 10.1007/s10584-017-2031-z
   Van Damme L, 2008, FOREST CHRON, V84, P301, DOI 10.5558/tfc84301-3
   Williamson T., 2014, Adapting Sustainable Forest Management to Climate Change: Criteria and Indicators in a Changing Climate
   Williamson TB, 2017, CAN J FOREST RES, V47, P1567, DOI 10.1139/cjfr-2017-0252
   ,, 2007, Climate change 2007: Synthesis Report. Contribution of Working Group I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Summary for Policymakers
NR 70
TC 60
Z9 66
U1 3
U2 72
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0378-1127
EI 1872-7042
J9 FOREST ECOL MANAG
JI For. Ecol. Manage.
PD AUG 1
PY 2018
VL 421
SI SI
BP 84
EP 97
DI 10.1016/j.foreco.2018.02.037
PG 14
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED); Conference Proceedings Citation Index - Science (CPCI-S)
SC Forestry
GA GG5TG
UT WOS:000432758000009
DA 2025-01-10
ER

PT J
AU Ghahramani, A
   Moore, AD
AF Ghahramani, Afshin
   Moore, Andrew D.
TI Climate change and broadacre livestock production across southern
   Australia. 2. Adaptation options via grassland management
SO CROP & PASTURE SCIENCE
LA English
DT Article
DE pasture; legume; feedbase; ANPP; agricultural system; modelling;
   GRAZPLAN
ID DECISION-SUPPORT-SYSTEMS; GRAZING ENTERPRISES; PASTURE SYSTEMS;
   VULNERABILITY; VARIABILITY; PHOSPHORUS; MODEL; FERTILIZER; STOCKING;
   IMPACTS
AB Climate change is predicted to cause a significant reduction in the productivity of grasslands and the livestock industry across southern Australia. We have used the GRAZPLAN biophysical simulation models to assess a range of pasture management practices as adaptation options under the SRES A2 global change scenario. The modelling analysis spanned four dimensions: space (25 representative locations), time (2030, 2050, 2070, and a historical reference period of 1970-99), livestock enterprises (five), and management (four adaptation options at different levels). Climate projection uncertainty was taken into account by considering climates from four global climate models. The effectiveness of adaptation options varied widely among enterprises and locations, over time, and under the four projected future climates. Increased soil fertility by adding phosphorus and addition of an area of lucerne to the feed-base were predicted to have the greatest effect in recovering from the negative impact of climate change on profitability. In high-rainfall zones in particular, and compared with the historical period, the most profitable option could return the profitability of livestock production systems to historical levels at 68%, 52%, and 32% of the representative locations at 2030, 2050, and 2070, respectively. At 2030, increased soil fertility, adding lucerne to the feed-base, and confinement feeding in summer recovered overall profit fully at 52%, 28%, and 12% of locations. Removing annual legumes in an attempt to preserve ground cover was ineffective as an adaptation to changing climate. For the majority of location x livestock enterprise combinations, there was at least one individual incremental adaptation that could recover the declines in the profitability at 2030, but effectiveness decreased over time after 2030. It is unlikely that the examined single climate change adaptations to the feed-base of southern Australian livestock production systems can return them to profitability in the second half of the century.
C1 [Ghahramani, Afshin; Moore, Andrew D.] CSIRO, Climate Adaptat Natl Res Flagship, Canberra, ACT 2601, Australia.
   [Ghahramani, Afshin; Moore, Andrew D.] CSIRO, Plant Ind, Canberra, ACT 2601, Australia.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   Plant Industry
RP Ghahramani, A (corresponding author), CSIRO, Climate Adaptat Natl Res Flagship, GPO Box 1600, Canberra, ACT 2601, Australia.
EM af.ghahramani@csiro.au
RI Ghahramani, Afshin/C-4169-2012; Moore, Andrew/D-3418-2009
OI Moore, Andrew/0000-0002-5675-4720; Ghahramani,
   Afshin/0000-0002-9648-4606
FU Australian Government Department of Agriculture, Fisheries, and Forestry
   under its Climate Change Research Program; Meat & Livestock Australia;
   Dairy Australia; Australian Wool Innovation
FX This research was supported by funding from the Australian Government
   Department of Agriculture, Fisheries, and Forestry under its Climate
   Change Research Program; Meat & Livestock Australia; Dairy Australia;
   and Australian Wool Innovation. We are indebted to our colleagues in the
   Southern Livestock Adaptation 2030 research and development program
   (Phil Graham, Melissa Rebbeck, Martin Dunstan, Mike Hyder, Richard
   Eckard, Peter Ball, Doug Alcock, Phil Bowden, Geoff Casburn, Jan
   Edwards, Ruth Corrigan, Jane Court, Clare Edwards, Nathan Ferguson, Jeff
   House, Colin Langford, Greg Meaker, Jim Meckiff, Kieran Ransom, and
   Julia Smith) who have shared representative grazing system information
   with us, and to Russell Pattinson for his coordination of the program.
CR Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   [Anonymous], 2003, REPORT MAX PLANCK IN
   [Anonymous], 2007, SYNTHESIS REPORT CON
   [Anonymous], 78 CSIRO DIV SOILS
   [Anonymous], CLIM CHANG AUSTR TEC
   [Anonymous], P 13 AUSTR AGR C 10
   [Anonymous], 7121 0 AGR COMM AUST
   Antle JM, 2004, CLIMATIC CHANGE, V64, P289, DOI 10.1023/B:CLIM.0000025748.49738.93
   Australian Bureau of Statistics, 2012, 7503 0 VAL AGR COMM
   Australian Bureau of Statistics, 2008, 7152 0 AGR COMM SMAL
   Australian Bureau of Statistics, 2011, 1270 0 55 001 AUSTR
   Brennan G, 2009, AUST J AGR RESOUR EC, V53, P309, DOI 10.1111/j.1467-8489.2009.00457.x
   Cayley J, 2005, PHOSPHORUS SHEEP BEE
   Cayley JWD, 1998, AUST J AGR RES, V49, P233, DOI 10.1071/A97113
   Christensen L, 2004, CLIMATIC CHANGE, V63, P351, DOI 10.1023/B:CLIM.0000018513.60904.fe
   Clark H, 1997, J APPL ECOL, V34, P304, DOI 10.2307/2404878
   Clark SG, 2003, AUST J EXP AGR, V43, P1211, DOI 10.1071/EA02101
   Collins WD, 2006, J CLIMATE, V19, P2122, DOI 10.1175/JCLI3761.1
   Cordell D, 2009, GLOBAL ENVIRON CHANG, V19, P292, DOI 10.1016/j.gloenvcha.2008.10.009
   Cullen BR, 2009, CROP PASTURE SCI, V60, P933, DOI 10.1071/CP09019
   Delworth TL, 2006, J CLIMATE, V19, P643, DOI 10.1175/JCLI3629.1
   Donnelly JR, 2002, AGR SYST, V74, P115, DOI 10.1016/S0308-521X(02)00024-0
   Eakin H, 2006, ANNU REV ENV RESOUR, V31, P365, DOI 10.1146/annurev.energy.30.050504.144352
   Freer M, 1997, AGR SYST, V54, P77, DOI 10.1016/S0308-521X(96)00045-5
   Ghahramani A, 2012, P 16 AUSTR AGR C 14
   Hansen JW, 2001, AGR FOREST METEOROL, V109, P297, DOI 10.1016/S0168-1923(01)00271-4
   Hansen JW, 1999, AGR FOREST METEOROL, V94, P53, DOI 10.1016/S0168-1923(99)00003-9
   Hill JO, 2004, AUST J AGR RES, V55, P1213, DOI 10.1071/AR04090
   [Houghton J.T. IPCC. IPCC.], 2001, CLIMATE CHANGE
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Johns TC, 2006, J CLIMATE, V19, P1327, DOI 10.1175/JCLI3712.1
   Lang R. D., 1984, Journal of Soil Conservation, New South Wales, V40, P56
   Lionello P, 2002, CLIM RES, V22, P147, DOI 10.3354/cr022147
   Mokany K, 2010, ANIM PROD SCI, V50, P6, DOI 10.1071/AN09067
   Moore AD, 1997, AGR SYST, V55, P535, DOI 10.1016/S0308-521X(97)00023-1
   Moore AD, 2014, ANIM PROD SCI, V54, P111, DOI 10.1071/AN13052
   Moore AD, 2013, GLOBAL CHANGE BIOL, V19, P1440, DOI 10.1111/gcb.12150
   O'Brien KL, 2000, GLOBAL ENVIRON CHANG, V10, P221, DOI 10.1016/S0959-3780(00)00021-2
   Patt A, 2005, CR GEOSCI, V337, P411, DOI 10.1016/j.crte.2004.11.006
   Pattinson R, 2011, P 52 ANN C GRASSL SO, P129
   Pearson CJ, 1997, AUST J AGR RES, V48, P453, DOI 10.1071/A96095
   Robertson M, 2006, LUCERNE PROSPECTS DR
   Sandral GA, 2006, AUST J AGR RES, V57, P321, DOI 10.1071/AR04017
   Schroder M, 2010, 357 PLANT RES INT DL
   Smil V, 2000, ANNU REV ENERG ENV, V25, P53, DOI 10.1146/annurev.energy.25.1.53
   Smit AL, 2009, 282 PLANT RES INT DL
   Smith MS, 2011, PHILOS T R SOC A, V369, P196, DOI 10.1098/rsta.2010.0277
   Soussana JF, 2007, GRASS FORAGE SCI, V62, P127, DOI 10.1111/j.1365-2494.2007.00577.x
   Steen I., 1998, Phosphorus and Potassium, P25
   Stokes C, 2010, ADAPTING AGRICULTURE TO CLIMATE CHANGE: PREPARING AUSTRALIAN AGRICULTURE, FORESTRY AND FISHERIES FOR THE FUTURE, P1
   Warn LK., 2006, INT J SHEEP WOOL SCI, V54, P40
   Wilks DS, 1999, AGR FOREST METEOROL, V93, P153, DOI 10.1016/S0168-1923(98)00125-7
   WILLIAMS JR, 1985, J HYDRAUL ENG-ASCE, V111, P970, DOI 10.1061/(ASCE)0733-9429(1985)111:6(970)
   Zhang XC, 2007, CLIMATIC CHANGE, V84, P337, DOI 10.1007/s10584-007-9256-1
NR 55
TC 33
Z9 34
U1 2
U2 45
PU CSIRO PUBLISHING
PI CLAYTON
PA UNIPARK, BLDG 1, LEVEL 1, 195 WELLINGTON RD, LOCKED BAG 10, CLAYTON, VIC
   3168, AUSTRALIA
SN 1836-0947
EI 1836-5795
J9 CROP PASTURE SCI
JI Crop Pasture Sci.
PY 2013
VL 64
IS 6
BP 615
EP 630
DI 10.1071/CP13195
PG 16
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA 208ZG
UT WOS:000323721300007
DA 2025-01-10
ER

PT J
AU Ren, C
   Spit, T
   Lenzholzer, S
   Yim, HLS
   Heusinkveld, B
   van Hove, B
   Chen, L
   Kupski, S
   Burghardt, R
   Katzschner, L
AF Ren, Chao
   Spit, Tejo
   Lenzholzer, Sanda
   Yim, Hung Lam Steve
   Heusinkveld, Bert
   van Hove, Bert
   Chen, Liang
   Kupski, Sebastian
   Burghardt, Rene
   Katzschner, Lutz
TI Urban Climate Map System for Dutch spatial planning
SO INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
LA English
DT Article
DE Urban Climatic Map System (UCMS); Geographic Information System (GIS)
   platform; Thermal and wind environment; Compact city; Urban planning
AB Facing climate change and global warming, outdoor climatic environment is an important consideration factor for planners and policy makers because improving it can greatly contribute to achieve citizen's thermal comfort and create a better urban living quality for adaptation. Thus, the climatic information must be assessed systematically and applied strategically into the planning process.
   This paper presents a tool named Urban Climate Map System (UCMS) that has proven capable of helping compact cities to incorporate climate effects in planning processes in a systematic way. UCMS is developed and presented in a Geographic Information System (GIS) platform in which the lessons learned and experience gained from interdisciplinary studies can be included. The methodology of UCMS of compact cities, the construction procedure, and the basic input factors - including the natural climate resources and planning data - are described. Some literatures that shed light on the applicability of UMCS are reported. The Municipality of Arnhem is one of Dutch compact urban areas and still under fast urban development and urban renewal. There is an urgent need for local planners and policy makers to protect local climate and open landscape resources and make climate change adaptation in urban construction. Thus, Arnhem is chosen to carry out a case study of UCMS. Although it is the first work of Urban Climatic Mapping in The Netherlands, it serves as a useful climatic information platform to local planners and policy makers for their daily on-going works. We attempt to use a quick method to collect available climatic and planning data and create an information platform for planning use. It relies mostly on literature and theoretical understanding that has been well practiced elsewhere. The effort here is to synergize the established understanding for a case at hand and demonstrate how useful guidance can still be made for planners and policy makers. Crown Copyright (C) 2012 Published by Elsevier B.V. All rights reserved.
C1 [Ren, Chao; Chen, Liang] Chinese Univ Hong Kong, Sch Architecture, Shatin, Hong Kong, Peoples R China.
   [Spit, Tejo] Univ Utrecht, Fac Geosci, NL-3508 TC Utrecht, Netherlands.
   [Lenzholzer, Sanda] Wageningen Univ, Landscape Architecture Grp, Wageningen, Netherlands.
   [Yim, Hung Lam Steve] Univ Cambridge, Dept Engn, Cambridge CB2 1TN, England.
   [Heusinkveld, Bert; van Hove, Bert] Wageningen Univ, Dept Meteorol & Air Qual, Wageningen, Netherlands.
   [Kupski, Sebastian; Burghardt, Rene; Katzschner, Lutz] Univ Kassel, Dept Architect & Planning, Kassel, Germany.
C3 Chinese University of Hong Kong; Utrecht University; Wageningen
   University & Research; University of Cambridge; Wageningen University &
   Research; Universitat Kassel
RP Ren, C (corresponding author), Chinese Univ Hong Kong, Sch Architecture, Shatin, Hong Kong, Peoples R China.
EM renchao@cuhk.edu.hk
RI REN, Chao/L-8938-2019; Burghardt, René/AAD-5475-2022; Yim, Steve Hung
   Lam/KEI-0926-2024
OI Lenzholzer, Sanda/0000-0002-5417-1804; Ren, Chao/0000-0002-8494-2585;
   Yim, Steve Hung Lam/0000-0002-2826-0950
FU EU-Interreg IVB-project titled "Future Cities-urban networks to face
   climate change"; Municipality of Arnhem
FX The study is supported by the EU-Interreg IVB-project titled "Future
   Cities-urban networks to face climate change" and the Municipality of
   Arnhem. The authors wish to appreciate the help from Mr. Vincent Kuypers
   of Wageningen UR Alterra Landscape Centre, Mr. Hans van Ammers of
   municipality of Arnhem, and as well as the researchers of meteorology
   and air quality group in Wageningen University and the Royal Netherlands
   Meteorological Institute for providing data needed for the study.
CR [Anonymous], 2004, FED GERM BUILD COD
   BAUMULLER J., 1992, KLIMAUNTERSUCHUNG NA
   Baumuller N., 2008, WORKSH CLIM CHANG UR
   Bitan A., 2008, ENERG BUILDINGS, V11, P1
   Chandler T, 1976, 149 WMO
   Chen L, 2012, INT J CLIMATOL, V32, P121, DOI 10.1002/joc.2243
   Cleugh H., 2009, WORLD CLIMATE C, P23
   Eliasson I, 2000, LANDSCAPE URBAN PLAN, V48, P31, DOI 10.1016/S0169-2046(00)00034-7
   Heusinkveld B., 2009, NEWSLETTER WAGE 0827
   Heusinkveld B.G., 2010, P 7 C BIOMETEOROLOGY, P433
   IBEC, 2006, CASBEE-HI, comprehensive assessment system for building environmental efficiency on heat island relaxation
   Katzschner L., 2010, DUTCH NAT M URB HEAT
   Lazar R, 1999, ATMOS ENVIRON, V33, P4195, DOI 10.1016/S1352-2310(99)00162-4
   MHSPE, 2000, COMP CIT OP LANDSC S
   Mills G, 2006, THEOR APPL CLIMATOL, V84, P69, DOI 10.1007/s00704-005-0145-0
   Mochida A., 2006, INT WORKSH COUNT URB
   OKE TR, 1981, J CLIMATOL, V1, P237, DOI 10.1002/joc.3370010304
   REN C, 2009, 7 INT C URB CLIM
   Ren C, 2011, INT J CLIMATOL, V31, P2213, DOI 10.1002/joc.2237
   Scherer D, 1999, ATMOS ENVIRON, V33, P4185, DOI 10.1016/S1352-2310(99)00161-2
   TMG (Tokyo Metropolitan Government), 2005, Guidelines for Heat Island Control Measures
   van der Valk A, 2002, LANDSCAPE URBAN PLAN, V58, P201, DOI 10.1016/S0169-2046(01)00221-3
   Verein Deutscher Ingenieure - VDI, 1997, VDI GUID 3787 1
NR 23
TC 43
Z9 46
U1 1
U2 66
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 0303-2434
J9 INT J APPL EARTH OBS
JI Int. J. Appl. Earth Obs. Geoinf.
PD AUG
PY 2012
VL 18
BP 207
EP 221
DI 10.1016/j.jag.2012.01.026
PG 15
WC Remote Sensing
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Remote Sensing
GA 971IZ
UT WOS:000306198900021
DA 2025-01-10
ER

PT J
AU Lasco, RD
   Delfino, RJP
   Espaldon, MLO
AF Lasco, Rodel D.
   Delfino, Rafaela Jane P.
   Espaldon, Marya Laya O.
TI Agroforestry systems: helping smallholders adapt to climate risks while
   mitigating climate change
SO WILEY INTERDISCIPLINARY REVIEWS-CLIMATE CHANGE
LA English
DT Article
ID COMMUNITY CARBON PROJECT; FOREST CONVERSION; SEQUESTRATION; AGRICULTURE;
   MANAGEMENT; MOZAMBIQUE; EMISSIONS; IMPACTS; AFRICA; FOOD
AB There is increasing interest to combine adaptation and mitigation measures that provide win-win solutions to climate change. Agroforestry systems offer compelling synergies between adaptation and mitigation. This article reviews the empirical evidence from various studies on how trees and agroforestry systems enhance smallholders' capacity to adapt to climate risks. Agroforestry systems improve resilience of smallholder farmers through more efficient water utilization, improved microclimate, enhanced soil productivity and nutrient cycling, control of pests and diseases, improved farm productivity, and diversified and increased farm income while at the same time sequestering carbon. Although these seems very promising, tradeoffs may arise both at the farm and landscape scales. (C) 2014 John Wiley & Sons, Ltd.
C1 [Lasco, Rodel D.; Espaldon, Marya Laya O.] World Agroforestry Ctr ICRAF, Los Banos, Philippines.
   [Lasco, Rodel D.; Delfino, Rafaela Jane P.] Oscar M Lopez Ctr Climate Change Adaptat & Disast, Pasig, Philippines.
C3 CGIAR; World Agroforestry (ICRAF)
RP Lasco, RD (corresponding author), World Agroforestry Ctr ICRAF, Los Banos, Philippines.
EM r.lasco@cgiar.org
RI Delfino, Rafaela Jane/HKW-6540-2023; Rodel, Lasco/AAA-6206-2022
OI Lasco, Rodel/0000-0003-3675-4237; Delfino, Rafaela
   Jane/0000-0001-8612-0342
FU CRP 6.4 and Climate Change, Agriculture and Food Security of the CGIAR
FX The authors would like to express their thanks to CRP 6.4 and Climate
   Change, Agriculture and Food Security of the CGIAR for providing funds
   for the conduct of the study and the Oscar M. Lopez Center for Climate
   Change Adaptation and Disaster Risk Management Foundation, Inc. for
   providing technical support.
CR Ajayi OC, 2011, INT J AGR SUSTAIN, V9, P129, DOI 10.3763/ijas.2010.0554
   Avelino J., 2011, Ecosystem Services from Agriculture and Agroforestry: Measurement and Payment, P91
   Bates B.C., 2008, Climate Change and Water, Technical Paper of the Intergovern-Mental Panel on Climate Change, DOI DOI 10.1016/J.JMB.2010.08.039
   Branca G., 2011, Climate Smart Agriculture: A Synthesis of Empirical Evidence of Food Security and Mitigation Benefits for Improved Cropland Management, P1
   Cannavo P, 2011, AGR ECOSYST ENVIRON, V140, P1, DOI 10.1016/j.agee.2010.11.005
   Flugge F, 2006, AGROFOREST SYST, V68, P181, DOI 10.1007/s10457-006-9008-7
   Gregory PJ, 2000, AGR ECOSYST ENVIRON, V82, P3, DOI 10.1016/S0167-8809(00)00212-7
   Hegde R, 2011, ECOL ECON, V71, P122, DOI 10.1016/j.ecolecon.2011.08.014
   IPCC, CONTRIBUTION OF WORK
   Jindal R, 2012, WORLD DEV, V40, P2123, DOI 10.1016/j.worlddev.2012.05.003
   Jose S, 2012, AGROFOREST SYST, V85, P1, DOI 10.1007/s10457-012-9517-5
   Kalame FB, 2011, ENVIRON SCI POLICY, V14, P519, DOI 10.1016/j.envsci.2011.03.011
   Kandji ST, 2006, WORLD AGROFORESTRY I
   Lasco RD, 2007, LANDSCAPE ANALYSIS O
   Lasco RD, 2010, SMALL-SCALE FOR, V9, P429, DOI 10.1007/s11842-010-9132-0
   Leuschner C, 2013, AGROFOREST SYST, V87, P1173, DOI 10.1007/s10457-013-9628-7
   Lin BB, 2008, BIOSCIENCE, V58, P847, DOI 10.1641/B580911
   Lin BB, 2007, AGR FOREST METEOROL, V144, P85, DOI 10.1016/j.agrformet.2006.12.009
   Mercer DE, 2004, AGROFOREST SYST, V61-2, P311, DOI 10.1023/B:AGFO.0000029007.85754.70
   Montagnini F, 2004, AGROFOREST SYST, V61-2, P281, DOI 10.1023/B:AGFO.0000029005.92691.79
   Nair P., 2012, Agroforestry-The Future of Global Land Use, DOI 10.1007/978-94-007-4676-3
   Nair P.K. R., 2012, Advances in Agroforestry, V9, P31, DOI DOI 10.1007/978-94-007-4676-37
   Nair PKR, 2011, J ENVIRON QUAL, V40, P784, DOI 10.2134/jeq2011.0076
   Neufeldt H, 2008, AGR ECOSYST ENVIRON, V123, P305, DOI 10.1016/j.agee.2007.07.008
   Palmer C, 2012, LAND USE POLICY, V29, P83, DOI 10.1016/j.landusepol.2011.05.007
   Rasul G, 2006, AGR SYST, V91, P29, DOI 10.1016/j.agsy.2006.01.006
   Ratnadass A, 2012, AGRON SUSTAIN DEV, V32, P273, DOI 10.1007/s13593-011-0022-4
   ROSENZWEIG C, 1994, NATURE, V367, P133, DOI 10.1038/367133a0
   Schmitt-Harsh M, 2012, AGROFOREST SYST, V86, P141, DOI 10.1007/s10457-012-9549-x
   Schroth G, 2000, AGROFOREST SYST, V50, P199, DOI 10.1023/A:1006468103914
   Schwendenmann L, 2010, GLOBAL CHANGE BIOL, V16, P1515, DOI 10.1111/j.1365-2486.2009.02034.x
   Smith N., 1998, Agroforestry Experiences in the Brazilian Amazon: Constraints and Opportunities
   Soto-Pinto L, 2010, AGROFOREST SYST, V78, P39, DOI 10.1007/s10457-009-9247-5
   Stavi I, 2013, AGRON SUSTAIN DEV, V33, P275, DOI 10.1007/s13593-012-0110-0
   Steffan-Dewenter I, 2007, P NATL ACAD SCI USA, V104, P4973, DOI 10.1073/pnas.0608409104
   Stocker, 2014, CLIMATE CHANGE 2013
   Swallow B, 2007, AN INTERIM REPORT BY
   Takimoto A, 2008, MITIG ADAPT STRAT GL, V13, P745, DOI 10.1007/s11027-007-9140-3
   Takimoto A, 2009, AGROFOREST SYST, V76, P11, DOI 10.1007/s10457-008-9179-5
   Thangata PH, 2012, AGR ECOSYST ENVIRON, V158, P172, DOI 10.1016/j.agee.2012.06.007
   Thorlakson T., 2012, Agric. Food Secur, V1, P1, DOI DOI 10.1186/2048-7010-1-15
   Verchot L. V., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P901, DOI 10.1007/s11027-007-9105-6
   Verchot LV, 2010, SOIL BIOL, V21, P45, DOI 10.1007/978-3-642-05076-3_3
   WEIER KL, 1993, SOIL SCI SOC AM J, V57, P66, DOI 10.2136/sssaj1993.03615995005700010013x
   Zhao Y, 2012, AGROFOREST SYST, V84, P243, DOI 10.1007/s10457-011-9458-4
   Zomer F, 2009, WORKING PAPER
NR 46
TC 80
Z9 82
U1 7
U2 124
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1757-7780
EI 1757-7799
J9 WIRES CLIM CHANGE
JI Wiley Interdiscip. Rev.-Clim. Chang.
PD NOV-DEC
PY 2014
VL 5
IS 6
BP 825
EP 833
DI 10.1002/wcc.301
PG 9
WC Environmental Studies; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA AS6CZ
UT WOS:000344353600009
DA 2025-01-10
ER

PT J
AU Batrymenko, O
   Chomko, D
   Tkach, O
AF Batrymenko, Oleg
   Chomko, Dmytro
   Tkach, Oleg
TI Decarbonization as a multilateral political mechanism for carbon
   regulation
SO VISNYK OF V N KARAZIN KHARKIV NATIONAL UNIVERSITY-SERIES GEOLOGY
   GEOGRAPHY ECOLOGY
LA English
DT Article
DE decarbonization; decision-making process in the EU; USA; energy policy;
   climate policy; emissions trading system; greenhouse gases; carbon
   regulation; climate action
AB Formulation of the problem. . This article is devoted to the analysis of the current state and prospects of the decarbonization project and its role in foreign policy in the process of creating the emissions trading system and the mechanism of the new European system of taxation of imported goods that leave a large carbon footprint (Control Border Adjustment Mechanism, CBAM) (the socalled "carbon border"). The issues raised in this work correspond to the Sustainable Development Goals (SDGs), namely: the fight against climate change (13 goals), which were adopted by the United Nations in 2015 as a universal call to action to reduce poverty, protect the planet and ensure that by 2030 all people live in peace and prosperity. It was analyzed that the EU institutions (Commission, Council or European Parliament) had the greatest impact on the organizational structure of the European Union emissions trading (STV). Purpose. . The purpose of the study is to analyze the role of decarbonization as a multilateral political mechanism of carbon regulation at the border. Methods. . Comparative, systemic, institutional research methods are used in the article. Research results. Attempts by the European Parliament to significantly change the decentralized nature of the ETS have failed. Thus, the process of updating the ETS and the mechanism of the new European system of taxation of imported goods that leave a large carbon footprint corresponds to the main provisions of the intergovernmental approach. Decarbonization is a term used to remove or reduce carbon dioxide (& Scy;& Ocy;2) & Scy;& Ocy; 2 ) emissions from the atmosphere. Decarbonization is achieved by switching to low-carbon energy sources. The project "Cross-Border Adjustment of the Carbon Tax Upon World Accession" makes it possible to avoid negative consequences for trade and can create a win-win situation- in economic, political and environmental terms. Documents reflecting the positions of the subjects and the course of the legislative process were used as primary materials. The research was conducted on the basis of the process tracking method. The article proves that the decisive confluence in the formation of the ETS design was the member states (the balance of interests and influence of the member states in the Council of the EU). The commission played a significant role as the author of the idea and moderator of compromises. The Commission and the European Parliament have on several occasions successfully blocked or softened Member State amendments that threatened to undermine the substance of emissions trading. Conclusions. As the planet faces rising temperatures and more frequent extreme weather events, it is clear that our current infrastructure practices must evolve. To mitigate and adapt to climate change, sustainable infrastructure is not just an option; it is a necessity.
C1 [Batrymenko, Oleg; Chomko, Dmytro; Tkach, Oleg] Kyiv Natl Univ, Kiev, Ukraine.
C3 Ministry of Education & Science of Ukraine; Taras Shevchenko National
   University of Kyiv
RP Batrymenko, O (corresponding author), Kyiv Natl Univ, Kiev, Ukraine.
EM batrymenko@ukr.net; chomko@knu.ua; tio19@ukr.net
RI Tkach, Oleg/LQK-6108-2024; Batrymenko, Oleg/HKO-3409-2023; Comko,
   Dmitro/I-2169-2018
OI Batrymenko, Oleg/0000-0003-0211-248X; Comko, Dmitro/0000-0001-8454-5531
CR Acevedo Ineshu, 2020, Foreign affairs
   Allen M, 2017, MAR POLICY, V80, P168, DOI 10.1016/j.marpol.2016.10.019
   [Anonymous], 2015, The UN Framework Convention on Climate Change (UNFCC)
   [Anonymous], CLIMATE CHANGE IMPAC
   [Anonymous], Сop26
   [Anonymous], About "Goals of sustainable development of Ukraine for the period up to 2030": Decree of the President of Ukraine dated September 30, 2019, No.722/2019
   Baluyeva O.V., 2013, Efficient economy
   Begon M., 2006, Ecology: From Individuals to Ecosystems, Vfourth ed
   Boxoe A. I., 2019, Cepi Exoozi, P32, DOI [10.26565/1992, DOI 10.26565/1992]
   Bridge G, 2013, ENERG POLICY, V53, P331, DOI 10.1016/j.enpol.2012.10.066
   Cavalcanti F, 2018, J PUBLIC ECON, V165, P201, DOI 10.1016/j.jpubeco.2018.07.011
   Chugai A.V., 2020, Environmental sciences, P102
   European -green -deal, 2020, About us
   Fazey I, 2020, ENERGY RES SOC SCI, V70, DOI 10.1016/j.erss.2020.101724
   Fesyanov P.O., State regulation of environmental safety at the regional level: experience of European countries
   Geels FW, 2017, SCIENCE, V357, P1242, DOI 10.1126/science.aao3760
   Grubler A, 2012, ENERG POLICY, V50, P8, DOI 10.1016/j.enpol.2012.02.070
   Herring H, 2009, BUILD RES INF, V37, P192, DOI 10.1080/09613210902727739
   IPCC, The Adaptation Gap Report 2014
   Ivanyuta P., 2022, The European Green Course and the climate policy of Ukraine: analyst
   Keohane Robert O., 2021, Foreign AffairsSeptember 20,
   Kirova M.O., 2018, Balanced nature management, P158
   Lempinen H., 2019, Arctic energy and social sustainability, DOI DOI 10.1017/S0892679414000422
   Lychenko I.O., 2016, Bulletin of the Lviv Polytechnic National University. Series "Legal Sciences, P279
   Norton LS, 2020, AM BEHAV SCI, V64, P1921, DOI 10.1177/0002764220952099
   Richardson J, 2012, PUBLIC HEALTH, V126, P982, DOI 10.1016/j.puhe.2012.07.009
   Sarrica M, 2018, ENERGY RES SOC SCI, V45, P287, DOI 10.1016/j.erss.2018.07.001
   Sovacool BK, 2019, CLIMATIC CHANGE, V155, P581, DOI 10.1007/s10584-019-02521-7
   Tabara JD, 2007, ECOL SOC, V12
   Turchyn M.B., 2014, thesis
   UNDP, 2017, The SDGs in action. Mode of access
   uniprot, HBB2 - Hemoglobin subunit beta-2
   Varlamova I.S., 2017, Scientific Bulletin of Kherson State University. Series "Economic Sciences, P161
   Wecoop, 2021, About us
   Weinstein M.P., 2013, Sustainability: Science, Practice, Policy, V9, P4, DOI DOI 10.1080/15487733.2013.11908103
   Yang Y, 2020, BIOFUEL RES J, V7, P1143, DOI 10.18331/BRJ2020.7.2.2
NR 36
TC 0
Z9 0
U1 2
U2 2
PU V N KARAZIN KHARKIV NATL UNIV
PI KHARKIV
PA 4 SVOBODY SQ, KHARKIV, 61022, UKRAINE
SN 2410-7360
EI 2411-3913
J9 VISN V N KKNU-GEOL G
JI Visn. V N Karazin Kharkiv Natl. Univ.-Ser. Geol Geogr. Ecol.
PY 2024
IS 60
BP 323
EP 334
DI 10.26565/2410-7360-2024-60-23
PG 12
WC Geology
WE Emerging Sources Citation Index (ESCI)
SC Geology
GA G1G8A
UT WOS:001314197100023
OA gold
DA 2025-01-10
ER

PT J
AU Rother, HA
   Dove, CM
   Cornforth, R
   Petty, C
   Euripidou, R
   Irlam, J
   Gikungu, D
   Chivese, T
   Kutane, W
   Jourou, A
   van Bavel, B
   Zavaleta, C
   Wright, CY
AF Rother, Hanna-Andrea
   Dove, C. . MacKenzie
   Cornforth, Rosalind
   Petty, Celia
   Euripidou, Rico
   Irlam, James
   Gikungu, David
   Chivese, Tawanda
   Kutane, Waltaji
   Jourou, Adjinda
   van Bavel, Bianca
   Zavaleta, Carol
   Wright, Caradee Y.
TI 'Q-Storming' to identify challenges and opportunities for integrating
   health and climate adaptation measures in Africa
SO JOURNAL OF CLIMATE CHANGE AND HEALTH
LA English
DT Article
DE Adaptation; Africa; Climate change; Health systems; Public health;
   Vulnerability
ID INFORMATION; SYSTEMS
AB Introduction: Climate factors in fluence the state of human health and wellbeing. Climate-related threats are particularly being experienced by vulnerable populations in Africa. A Question (Q)-Storming session was convened at an international climate adaptation conference. It promoted dialog among a diverse spectrum of researchers, climate and medical scientists, health professionals, national government of ficials, civil society, business, and international governing organizations. The session identi fied approaches for the effective integration of health within African national climate adaptation policies. Materials and methods: Two organizations partnered to convene the session at the Adaptations Futures 2018 Conference in Cape Town. Q-storming (which is an inverse approach to brainstorming) was applied to extract ideas from all participants. Four topics were presented during the session: (i) adaptive capacities related to climate change and infectious diseases; (ii) adaptive capacity of African governments in relation to health and climate change; (iii) making climate science work to protect the health of vulnerable populations; and (iv) making climate-health research usable. Results: Nine cross-cutting adaptation themes were generated (i.e. key de finitions, adaptive capacity, health sector priorities, resources, operational capacities and procedures, contextual conditions, information pathways, and information utility). The Q-Storming approach was a valuable tool for improving the understanding of the complexities of climate-health research collaborations, and priority identi fication for improved adaptation and service delivery. Conclusion: Concerted recognition regarding dif ficulties in linking climate science and health vulnerability at the interface of practitioners and decision-makers is required, for better integration and use of climate-health research in climate adaptation in Africa. This can be achieved by innovations offered through Q-Storming. (c) 2023 The Author(s). Published by Elsevier Masson SAS. This is an open access article under the CC BY-NCND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
C1 [Rother, Hanna-Andrea] Univ Cape Town, Sch Publ Hlth, Div Environm Hlth, Cape Town, South Africa.
   [Dove, C. . MacKenzie] Natl Ctr Atmospher Res, Boulder, CO USA.
   [Cornforth, Rosalind; Petty, Celia] Univ Reading, Walker Inst, Reading, England.
   [Petty, Celia] Evidence Dev, Reading, England.
   [Euripidou, Rico] GroundWork Friends Earth South Africa, Pietermaritzburg, South Africa.
   [Irlam, James] Univ Cape Town, Fac Hlth Sci, Primary Hlth Care Directorate, Cape Town, South Africa.
   [Gikungu, David] Kenya Meteorol Dept, Nairobi, Kenya.
   [Chivese, Tawanda] Qatar Univ, Coll Med, Dept Populat Med, QU Hlth, Doha, Qatar.
   [Kutane, Waltaji] WHO Country Off, Maputo, Mozambique.
   [Jourou, Adjinda] Minist Hlth Benin, Cotonou, Benin.
   [van Bavel, Bianca] Univ Leeds, Priestley Int Ctr Climate, Leeds LS2 9JT, England.
   [Zavaleta, Carol] Univ Peruana Cayetano Heredia, Fac Salud Publ, Lima 15102, Peru.
   [Wright, Caradee Y.] South African Med Res Council, Environm & Hlth Res Unit, Pretoria, South Africa.
   [Wright, Caradee Y.] Univ Pretoria, Dept Geog Geoinformat & Meteorol, Pretoria, South Africa.
C3 University of Cape Town; National Center Atmospheric Research (NCAR) -
   USA; University of Reading; University of Cape Town; Qatar University;
   University of Leeds; Universidad Peruana Cayetano Heredia; South African
   Medical Research Council; University of Pretoria
RP Rother, HA (corresponding author), Univ Cape Town, Sch Publ Hlth, Div Environm Hlth, Cape Town, South Africa.
EM andrea.rother@uct.ac.za
RI Chivese, Tawanda/AAU-3287-2021; van Bavel, Bianca/LDG-3315-2024; Rother,
   Hanna-Andrea/ABB-1037-2020
OI Rother, Hanna-Andrea/0000-0001-5292-8909; Euripidou, Euripides
   (Rico)/0000-0002-3618-7386; van Bavel, Bianca/0000-0001-9338-4602
FU Oppenheimer Memorial Trust International Fellowship
FX Participant involvement was sponsored by the World Health Organization,
   Clim-Health Africa, and Natural Environment Research Council. CYW
   receives research from the South African government via the South
   African Medical Research Council. During the write-up of this article,
   HAR was supported by an Oppenheimer Memorial Trust International
   Fellowship.r write-up of this article, HAR was supported by an
   Oppenheimer Memorial Trust International Fellowship.
CR Agyepong IA, 2017, LANCET, V390, P2803, DOI 10.1016/S0140-6736(17)31509-X
   Aleksandrova M, 2020, CLIM DEV, V12, P511, DOI 10.1080/17565529.2019.1642180
   [Anonymous], 2014, HEALTH PROMOT INT, V29, P19, DOI 10.1093/heapro/dau035
   [Anonymous], 2018, HOUSEHOLD AIR POLLUT
   [Anonymous], 2016, PREVENTING DIS HLTH
   [Anonymous], 2021, 2021 WHO health and climate change global survey report
   Arnott JC, 2020, GLOBAL ENVIRON CHANG, V60, DOI 10.1016/j.gloenvcha.2019.101979
   Borg FH, 2021, GLOBAL HEALTH ACTION, V14, DOI 10.1080/16549716.2021.1908064
   Briley L, 2015, CLIM RISK MANAG, V9, P41, DOI 10.1016/j.crm.2015.04.004
   Brown D., 2012, IIED Climate Change Working Paper No. 3
   Cairney P, 2017, HEALTH RES POLICY SY, V15, DOI 10.1186/s12961-017-0192-x
   Chersich MF, 2019, GLOBALIZATION HEALTH, V15, DOI 10.1186/s12992-019-0466-x
   Chersich MF, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15091884
   Cisse G., 2022, Climate change 2022: impacts, adaptation, and vulnerability. contribution of working group II to the sixth assessment report of the intergovernmental panel on climate change
   Clayphan A, 2014, PERS UBIQUIT COMPUT, V18, P1433, DOI 10.1007/s00779-013-0746-z
   Clim-HEALTH Africa, Interactive map and about Clim-HEALTH Africa
   Cousins T, 2021, BMJ GLOB HEALTH, V6, DOI 10.1136/bmjgh-2021-005442
   Ebi K., 2019, Lancet Planet Health, V3, pS6, DOI DOI 10.1016/S2542-5196(19)30149-4
   Fears R, 2021, PLOS MED, V18, DOI 10.1371/journal.pmed.1003719
   Githeko A, 2014, Fut Agricult Work Paper, P104
   Global Environment Facility, 2016, A New Vision for Weather and Climate Services in Africa
   Godsmark CN, 2019, ENVIRON INT, V122, P31, DOI 10.1016/j.envint.2018.11.035
   Hansen A, 2017, LANCET PLANET HEALTH, V1, pE353, DOI 10.1016/S2542-5196(17)30160-2
   Hussey LK, 2020, CLIM DEV, V12, P170, DOI 10.1080/17565529.2019.1610350
   Klenk N, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.475
   Lelieveld J, 2020, CARDIOVASC RES, V116, P1910, DOI 10.1093/cvr/cvaa025
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/NCLIMATE1614, 10.1038/nclimate1614]
   Makina A, 2016, LOCAL ENVIRON, V21, P1185, DOI 10.1080/13549839.2016.1189407
   Marten R, 2021, HEALTH POLICY PLANN, V36, P218, DOI 10.1093/heapol/czaa165
   Mayhew S, 2014, J HEALTH SERV RES PO, V19, P124, DOI 10.1177/1355819613516943
   Mungia R, 2015, PROG COMM HLTH PARTN, V9, P447, DOI 10.1353/cpr.2015.0051
   Ndegwa W, 2013, The Libreville Declaration and its implementation process in Kenya
   Oleribe OO, 2019, INT J GEN MED, V12, P395, DOI 10.2147/IJGM.S223882
   Penfold ED, 2015, GLOB SOC POLICY, V15, P278, DOI 10.1177/1468018115599817
   Public Health Association of South Africa (PHASA), Climate and Energy Special Interest Group
   Romanello M, 2022, LANCET, V400, P1619, DOI 10.1016/S0140-6736(22)01540-9
   Romanello M, 2021, LANCET, V398, P1619, DOI [10.1016/S0140-6736(21)01787-6, 10.1016/S0140-6736(23)01859-7]
   Rother HA, 2020, SCI TOTAL ENVIRON, V722, DOI 10.1016/j.scitotenv.2020.137772
   Rutter H, 2017, LANCET, V390, P2602, DOI 10.1016/S0140-6736(17)31267-9
   Tall A, 2013, WEATHER CLIM EXTREME, V1, P4, DOI 10.1016/j.wace.2013.07.007
   Thomas F, 2014, ENVIRON SCI POLICY, V44, P271, DOI 10.1016/j.envsci.2014.08.011
   Tractenberg L, 2009, M ICTE2009 INT C M
   Trisos CH., 2022, Climate Change 2022: Impacts, P1285, DOI [DOI 10.1017/9781009325844.011, 10.1017/9781009325844.011]
   Ulibarri N, 2022, CLIM POLICY, V22, P77, DOI 10.1080/14693062.2021.2002251
   USAID. United States Agency for International Development, 2017, Risk expands, but opportunity awaits: emerging evidence on climate change and health in Africa
   Watts N, 2019, LANCET, V394, P1836, DOI 10.1016/S0140-6736(19)32596-6
   Watts N, 2017, LANCET, V389, P1151, DOI 10.1016/S0140-6736(16)32124-9
   World Health Organization, 2021, Climate change and health. Key facts
   World Health Organization, COP26 Special Report on Climate Change and Health: the Health Argument for Climate Action 2021
   World Health Organization (WHO), 2015, Second Synthesis Report on the situation analysis and needs assessment for the implementation of the Libreville declaration on health and environment in Africa
   Young H, 2017, Climate and health in africa: research and policy needs, DOI [10.5281/zenodo.3510170, DOI 10.5281/ZENODO.3510170]
   Yusta-García R, 2017, ENVIRON POLLUT, V225, P370, DOI 10.1016/j.envpol.2017.02.063
NR 52
TC 0
Z9 0
U1 1
U2 1
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
EI 2667-2782
J9 J CLIM CHANGE HEALTH
JI J. Clim. Chang. Health
PD JUL-AUG
PY 2023
VL 12
AR 100254
DI 10.1016/j.joclim.2023.100254
PG 9
WC Environmental Sciences; Public, Environmental & Occupational Health
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health
GA YE7C7
UT WOS:001266864800006
OA Green Published, gold, Green Accepted
DA 2025-01-10
ER

PT J
AU Byrd, KB
   Matchett, E
   Mengelt, C
   Wilson, TS
   DiPietro, D
   Moritsch, M
   Conlisk, E
   Veloz, S
   Casazza, ML
   Reiter, ME
AF Byrd, Kristin B. B.
   Matchett, Elliott
   Mengelt, Claudia
   Wilson, Tamara S. S.
   DiPietro, Deanne
   Moritsch, Monica
   Conlisk, Erin
   Veloz, Sam
   Casazza, Michael L. L.
   Reiter, Matthew E. E.
TI Knowledge coproduction on the impact of decisions for waterbird habitat
   in a changing climate
SO CONSERVATION BIOLOGY
LA English
DT Article
DE agriculture; climate adaptation; decision support; land use change;
   participatory modeling; scenario planning; water supply; wetland
   restoration
ID BIODIVERSITY; SCENARIOS; DILEMMAS; SCIENCE
AB Scientists, resource managers, and decision makers increasingly use knowledge coproduction to guide the stewardship of future landscapes under climate change. This process was applied in the California Central Valley (USA) to solve complex conservation problems, where managed wetlands and croplands are flooded between fall and spring to support some of the largest concentrations of shorebirds and waterfowl in the world. We coproduced scenario narratives, spatially explicit flooded waterbird habitat models, data products, and new knowledge about climate adaptation potential. We documented our coproduction process, and using the coproduced models, we determined when and where management actions make a difference and when climate overrides these actions. The outcomes of this process provide lessons learned on how to cocreate usable information and how to increase climate adaptive capacity in a highly managed landscape. Actions to restore wetlands and prioritize their water supply created habitat outcomes resilient to climate change impacts particularly in March, when habitat was most limited; land protection combined with management can increase the ecosystem's resilience to climate change; and uptake and use of this information was influenced by the roles of different stakeholders, rapidly changing water policies, discrepancies in decision-making time frames, and immediate crises of extreme drought. Although a broad stakeholder group contributed knowledge to scenario narratives and model development, to coproduce usable information, data products were tailored to a small set of decision contexts, leading to fewer stakeholder participants over time. A boundary organization convened stakeholders across a large landscape, and early adopters helped build legitimacy. Yet, broadscale use of climate adaptation knowledge depends on state and local policies, engagement with decision makers that have legislative and budgetary authority, and the capacity to fit data products to specific decision needs.
C1 [Byrd, Kristin B. B.; Wilson, Tamara S. S.; Moritsch, Monica] US Geol Survey, Western Geog Sci Ctr, POB 158, Moffett Field, CA 94035 USA.
   [Matchett, Elliott; Casazza, Michael L. L.] US Geol Survey, Western Ecol Res Ctr, Dixon, CA USA.
   [Mengelt, Claudia] US Geol Survey, Ecosyst Mission Area, Sacramento, CA USA.
   [DiPietro, Deanne] Conservat Biol Inst, Corvallis, OR USA.
   [Conlisk, Erin; Veloz, Sam; Reiter, Matthew E. E.] Point Blue Conservat Sci, Petaluma, CA USA.
C3 United States Department of the Interior; United States Geological
   Survey; United States Department of the Interior; United States
   Geological Survey; United States Department of the Interior; United
   States Geological Survey
RP Byrd, KB (corresponding author), US Geol Survey, Western Geog Sci Ctr, POB 158, Moffett Field, CA 94035 USA.
EM kbyrd@usgs.gov
RI Veloz, Samuel/Q-4973-2019
OI Mengelt, Claudia/0000-0001-7869-5170; casazza, Mike/0000-0002-5636-735X;
   Wilson, Tamara/0000-0001-7399-7532; Veloz, Sam/0000-0003-3401-9167;
   Moritsch, Monica/0000-0002-3890-1264; , Elliott
   Matchett/0000-0001-5095-2884
FU NASA Applied Sciences Ecological Forecasting Program [NNX17AG81G]; USGS
   Land Change Science Program; USGS National Land Imaging Program; USGS
   Bay-Delta Priority Ecosystem Studies Program; The Nature Conservancy
FX NASA Applied Sciences Ecological Forecasting Program, Grant/Award
   Number: NNX17AG81G; USGS Land Change Science Program; USGS National Land
   Imaging Program; USGS Bay-Delta Priority Ecosystem Studies Program; The
   Nature Conservancy
CR Abrahms B, 2017, BIODIVERS CONSERV, V26, P2277, DOI 10.1007/s10531-017-1362-4
   Allison AEF, 2018, ENVIRON MODELL SOFTW, V99, P147, DOI 10.1016/j.envsoft.2017.09.015
   [Anonymous], 2006, Central Valley Joint Venture implementation plan: conserving bird habitat
   Bertuol-Garcia D, 2018, BIOL REV, V93, P1032, DOI 10.1111/brv.12385
   Bojovic D, 2021, GLOBAL ENVIRON CHANG, V68, DOI 10.1016/j.gloenvcha.2021.102271
   Cash D., 2002, SALIENCE CREDIBILITY, P1, DOI 10.2139/ssrn.372280
   Conlisk EE, 2023, ECOSPHERE, V14, DOI 10.1002/ecs2.4367
   Conlisk EE, 2022, ECOL APPL, V32, DOI 10.1002/eap.2510
   CVJV, 2020, Central Valley Joint Venture 2020 Implementation Plan
   Diffenbaugh NS, 2015, P NATL ACAD SCI USA, V112, P3931, DOI 10.1073/pnas.1422385112
   Djenontin INS, 2018, ENVIRON MANAGE, V61, P885, DOI 10.1007/s00267-018-1028-3
   Ferguson DB, 2022, ENVIRON MANAGE, V69, P227, DOI 10.1007/s00267-021-01585-5
   Flint L.E., 2012, ECOL PROCESS, V1, P1, DOI [DOI 10.1186/2192-1709-1-2, 10.1186/2192-1709-1-2]
   Kadykalo AN, 2021, CONSERV BIOL, V35, P1725, DOI 10.1111/cobi.13732
   King SL, 2021, WETLANDS, V41, DOI 10.1007/s13157-021-01449-y
   Kujala J, 2022, BUS SOC, V61, P1136, DOI 10.1177/00076503211066595
   Lemos MC, 2005, GLOBAL ENVIRON CHANG, V15, P57, DOI 10.1016/j.gloenvcha.2004.09.004
   Matchett EL, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0169780
   Meadow AM, 2015, WEATHER CLIM SOC, V7, P179, DOI 10.1175/WCAS-D-14-00050.1
   Mitchell M, 2016, LANDSCAPE URBAN PLAN, V145, P45, DOI 10.1016/j.landurbplan.2015.09.003
   Naujokaitis-Lewis I, 2018, J APPL ECOL, V55, P2843, DOI 10.1111/1365-2664.13241
   Norstrom AV, 2020, NAT SUSTAIN, V3, P182, DOI 10.1038/s41893-019-0448-2
   Pierce D. W., 2018, PUBLICATION CALIFORN
   Reiter ME, 2018, PEERJ, V6, DOI 10.7717/peerj.5147
   Reynolds MD, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1700707
   RITTEL HWJ, 1973, POLICY SCI, V4, P155, DOI 10.1007/BF01405730
   Sleeter BM, 2017, EARTHS FUTURE, V5, P1068, DOI 10.1002/2017EF000560
   van der Graaf P, 2018, HEALTH INFO LIBR J, V35, P202, DOI 10.1111/hir.12219
   Wilson TS, 2022, LANDSCAPE ECOL, V37, P861, DOI 10.1007/s10980-021-01398-1
NR 29
TC 2
Z9 2
U1 4
U2 23
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0888-8892
EI 1523-1739
J9 CONSERV BIOL
JI Conserv. Biol.
PD OCT
PY 2023
VL 37
IS 5
DI 10.1111/cobi.14089
EA JUN 2023
PG 12
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA T9RY8
UT WOS:001000197500001
PM 37021386
DA 2025-01-10
ER

PT J
AU Khatibi, H
   Wilkinson, S
   Sweya, LN
   Baghersad, M
   Dianat, H
AF Khatibi, Hamed
   Wilkinson, Suzanne
   Sweya, Lukuba N.
   Baghersad, Mostafa
   Dianat, Heiman
TI Navigating Climate Change Challenges through Smart Resilient Cities: A
   Comprehensive Assessment Framework
SO LAND
LA English
DT Article
DE climate change; smart resilient cities; urban resilience; smart city;
   assessment tools; assessment framework
ID DISASTER RESILIENCE; URBAN RESILIENCE; SYSTEMS; PERFORMANCE; INDICATORS;
   CITY
AB The rapid increase in the global population is contributing to the urgent challenges we face in ensuring the sustainability of our planet. This demographic shift, which gained momentum in the 1990s, is closely linked to a surge in natural disasters, both in terms of their frequency and severity. The quest for resources and improved quality of life, including the need for housing and essential services, has compounded these challenges. With the world's population projected to double by 2050, and approximately two-thirds of this population expected to reside in urban areas, we are facing a complex web of interconnected issues that will significantly magnify the impacts of climate change-induced disasters. It is imperative that we build resilient cities capable of withstanding and adapting to these changes. However, the growing complexity of urban services and the necessity for integrated management raise questions about the preparedness of these resilient cities to comprehend and address the multifaceted challenges posed by climate change. In response to these critical concerns, this study endeavors to address the intersection of resilience and climate change. We propose the development of a Smart Resilient City Assessment Framework, comprising two core components: resilience re-evaluation and smartness evaluation. Each component consists of eight essential steps. The culmination of these steps results in a semi-quantitative index that accurately reflects the city's position regarding resilience and smartness in the face of climate change-related disasters. To demonstrate the framework's practicality and suitability, we present results from a hypothetical scenario focusing on water supply management, a critical aspect of climate change adaptation. The framework equips city managers with the necessary tools to re-evaluate their cities' resilience, evaluate their capacity to address climate change-induced challenges, and make informed decisions on integrating resilience and smart solutions to pave the way for a more sustainable and climate-resilient future.
C1 [Khatibi, Hamed; Baghersad, Mostafa] Univ Auckland, Fac Engn, Dept Civil & Environm Engn, Auckland 1010, New Zealand.
   [Wilkinson, Suzanne] Massey Univ, Coll Sci, Sch Built Environm, Auckland 0745, New Zealand.
   [Sweya, Lukuba N.] Ardhi Univ, Sch Environm Sci & Technol, Dar Es Salaam 16103, Tanzania.
   [Dianat, Heiman] Univ Newcastle, Sch Architecture & Built Environm, Callaghan, NSW 2308, Australia.
C3 University of Auckland; Massey University; University of Newcastle
RP Khatibi, H (corresponding author), Univ Auckland, Fac Engn, Dept Civil & Environm Engn, Auckland 1010, New Zealand.
EM h.khatibi@auckland.ac.nz; s.wilkinson@massey.ac.nz;
   lukuba.sweya@aru.ac.tz; m.baghersad@auckland.ac.nz;
   heiman.dianat@newcastle.edu.au
RI Khatibi, Hamed/AAS-5181-2021; Sweya, Lukuba/AAX-1478-2021
OI Khatibi, Hamed/0000-0002-4486-1342
CR Alawadhi Suha, 2012, Electronic Government. Proceedings of the 11th IFIP WG 8.5 International Conference, EGOV 2012, P40, DOI 10.1007/978-3-642-33489-4_4
   Albino V, 2015, J URBAN TECHNOL, V22, P3, DOI 10.1080/10630732.2014.942092
   Alshamaila Y, 2023, INT J DISAST RISK RE, V85, DOI 10.1016/j.ijdrr.2023.103521
   Amegavi GB, 2024, INT J DISAST RISK RE, V103, DOI 10.1016/j.ijdrr.2024.104313
   Amirzadeh M, 2023, SUSTAIN CITIES SOC, V89, DOI 10.1016/j.scs.2022.104326
   Arroub A, 2016, 2016 INTERNATIONAL CONFERENCE ON WIRELESS NETWORKS AND MOBILE COMMUNICATIONS (WINCOM), pP180
   Baghersad M, 2021, ADV CIV ENG, V2021, DOI 10.1155/2021/2360759
   Balaei B, 2020, SUSTAIN CITIES SOC, V56, DOI 10.1016/j.scs.2020.102077
   Balaei B, 2018, NAT HAZARDS REV, V19, DOI 10.1061/(ASCE)NH.1527-6996.0000292
   Baron M., 2012, Journal of Economics Management, V10, P32
   Beliakov G., 2007, Aggregation Functions: A Guide for Practitioners
   Bibri SE, 2024, ENVIRON SCI ECOTECH, V19, DOI 10.1016/j.ese.2023.100330
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Cabell JF, 2012, ECOL SOC, V17, DOI 10.5751/ES-04666-170118
   Cai H, 2018, INT J DISAST RISK RE, V31, P844, DOI 10.1016/j.ijdrr.2018.07.015
   Chourabi H., 2012, 2012 45th Hawaii International Conference on System Sciences (HICSS), P2289, DOI 10.1109/HICSS.2012.615
   Cimellaro GP, 2016, J STRUCT ENG, V142, DOI 10.1061/(ASCE)ST.1943-541X.0001514
   Cohen B., 2013, Smart City Wheel Retrieved from SMART CIRCLE.
   Conrado SP, 2016, J DECIS SYST, V25, P171, DOI 10.1080/12460125.2016.1187396
   Cox RS, 2015, AM BEHAV SCI, V59, P220, DOI 10.1177/0002764214550297
   Cutter SL, 2016, NAT HAZARDS, V80, P741, DOI 10.1007/s11069-015-1993-2
   D'Lima M, 2015, TRANSPORT RES A-POL, V81, P35, DOI 10.1016/j.tra.2015.05.017
   DAMERI R.P., 2013, International Journal of Computers and Technology, V11, P2544, DOI [DOI 10.24297/IJCT.V11I5.1142, 10.24297/ijct.v11i5.1142]
   Dastjerdi MS, 2021, URBAN CLIM, V36, DOI 10.1016/j.uclim.2021.100794
   DesRoches R., 2018, The Bridge, V48
   Dianat H, 2022, INT J DISAST RISK RE, V71, DOI 10.1016/j.ijdrr.2022.102789
   Dianat H, 2021, INT J DISAST RISK RE, V65, DOI 10.1016/j.ijdrr.2021.102561
   Figueiredo L., 2018, OECD REG DEV WORK PA, V02, P66, DOI 10.1787/6f1f6065-en
   Focus Group on Smart Sustainable Cities (FG-SSC), 2014, Smart Sustainable Cities: An Analysis of Definitions.
   Gan XY, 2017, ECOL INDIC, V81, P491, DOI 10.1016/j.ecolind.2017.05.068
   Giffinger R., 2007, Smart Cities Ranking of European medium-sized cities, P1
   Gkontzis AF, 2024, FUTURE INTERNET, V16, DOI 10.3390/fi16020047
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Grabisch M, 2008, I S INTELL SYST INFO, P17, DOI 10.1109/SISY.2008.4664901
   Gracias JS, 2023, SMART CITIES-BASEL, V6, P1719, DOI 10.3390/smartcities6040080
   Guenduez A.A., 2024, Urban Gov, V4, P80, DOI [10.1016/j.ugj.2024.01.003, DOI 10.1016/J.UGJ.2024.01.003]
   Hernantes J, 2019, CITIES, V84, P96, DOI 10.1016/j.cities.2018.07.010
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hughes JamesF.K. Healy., 2014, MEASURING RESILIENCE
   Ismagilova E, 2019, INT J INFORM MANAGE, V47, P88, DOI 10.1016/j.ijinfomgt.2019.01.004
   Ji MD, 2021, INT J HYDROGEN ENERG, V46, P38612, DOI 10.1016/j.ijhydene.2021.09.142
   Jiang NN, 2024, ENVIRON IMPACT ASSES, V104, DOI 10.1016/j.eiar.2023.107298
   Jiang YH, 2013, HABITAT INT, V38, P167, DOI 10.1016/j.habitatint.2012.06.003
   Jovanovic A, 2018, URBAN BOOK SERIES, P285, DOI 10.1007/978-3-319-68606-6_17
   Kang SM, 2002, ECOL ECON, V43, P159, DOI 10.1016/S0921-8009(02)00207-0
   Khatibi H, 2022, ENVIRON PLAN B-URBAN, V49, P1556, DOI 10.1177/23998083221092422
   Khatibi H, 2021, BUILT ENVIRON PROJ A, V11, P493, DOI 10.1108/BEPAM-03-2020-0049
   Khatibi H, 2022, BUILT ENVIRON PROJ A, V12, P5, DOI 10.1108/BEPAM-07-2020-0122
   Langroudi B., 2011, Int. J. Archit. Civ. Constr. Sci, V5, P255, DOI [10.5281/zenodo.1332336, DOI 10.5281/ZENODO.1332336]
   Lee JH, 2014, TECHNOL FORECAST SOC, V89, P80, DOI 10.1016/j.techfore.2013.08.033
   Leitner H, 2018, URBAN GEOGR, V39, P1276, DOI 10.1080/02723638.2018.1446870
   Lilli G, 2024, RELIAB ENG SYST SAFE, V241, DOI 10.1016/j.ress.2023.109609
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mehmood A, 2016, EUR PLAN STUD, V24, P407, DOI 10.1080/09654313.2015.1082980
   Negre E, 2015, P ANN HICSS, P2317, DOI 10.1109/HICSS.2015.279
   Odiase O, 2020, RISK HAZARDS CRISIS, V11, P188, DOI 10.1002/rhc3.12190
   OECD, 2008, Handbook on constructing composite indicators: methodology and user guide, DOI DOI 10.1787/9789264043466-EN
   Oktari RS, 2020, PROG DISASTER SCI, V5, DOI 10.1016/j.pdisas.2019.100057
   Pandya S, 2023, SUSTAIN ENERGY TECHN, V55, DOI 10.1016/j.seta.2022.102987
   Papa R, 2015, TEMA, V8, P19, DOI 10.6092/1970-9870/2883
   Paracchini M., 2008, Sustainability Impact Assessment of Land Use Changes, V1, P349
   Perry H., 2013, Ph.D. Dissertation
   Prior T., 2015, CSS Risk Resil. Rep, V9
   Rus K, 2018, INT J DISAST RISK RE, V31, P311, DOI 10.1016/j.ijdrr.2018.05.015
   Saltelli A., 2007, PAMM: Proceedings in Applied Mathematics and Mechanics, P2140013
   Schipper E.L. F., 2015, A comparative overview of resilience measurement frameworks. Analyzing Indicators and Approaches, P422
   Seo W, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000835
   Shah MN, 2017, PROCEEDINGS OF THE 20TH INTERNATIONAL SYMPOSIUM ON ADVANCEMENT OF CONSTRUCTION MANAGEMENT AND REAL ESTATE, P111, DOI 10.1007/978-981-10-0855-9_10
   Sharifi A, 2019, J CLEAN PROD, V233, P1269, DOI 10.1016/j.jclepro.2019.06.172
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   Stamopoulos D, 2024, CITIES, V144, DOI 10.1016/j.cities.2023.104612
   Sun J, 2024, SUSTAIN CITIES SOC, V100, DOI 10.1016/j.scs.2023.105058
   Sweya L., 2019, Global Business and Organizational Excellence, V39, P6, DOI DOI 10.1002/JOE.21985
   Sweya LN, 2021, JAMBA-J DISASTER RIS, V13, DOI 10.4102/jamba.v13i1.860
   Sweya LN, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000783
   Sweya LN, 2020, ECOL INDIC, V112, DOI 10.1016/j.ecolind.2020.106165
   Sweya LN, 2018, PROCEDIA ENGINEER, V212, P488, DOI 10.1016/j.proeng.2018.01.063
   Tabibian M, 2016, SCI IRAN, V23, P1699, DOI 10.24200/sci.2016.2240
   Tangian A, 2007, EUR J OPER RES, V181, P468, DOI 10.1016/j.ejor.2006.05.038
   Taques FH, 2021, J INNOV KNOWL, V6, P11, DOI 10.1016/j.jik.2019.12.001
   Ul Huda N, 2024, EXPERT SYST APPL, V238, DOI 10.1016/j.eswa.2023.122380
   Vugrin ED, 2010, SUSTAINABLE AND RESILIENT CRITICAL INFRASTRUCTURE SYSTEMS: SIMULATION, MODELING, AND INTELLIGENT ENGINEERING, P77, DOI 10.1007/978-3-642-11405-2_3
   Wang HH, 2024, ENVIRON IMPACT ASSES, V104, DOI 10.1016/j.eiar.2023.107333
   Willis H.H., 2015, Measuring the Resilience of Energy Distribution Systems
   Wilsont MV, 2017, J CHEM EDUC, V94, P44, DOI 10.1021/acs.jchemed.6b00515
   Wolfram M., 2012, P REAL CORP 2012
   Yigitcanlar T, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16020671
   Yovanof GS, 2009, WIRELESS PERS COMMUN, V49, P445, DOI 10.1007/s11277-009-9693-4
   Zhu SY, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101636
NR 90
TC 1
Z9 1
U1 29
U2 39
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD MAR
PY 2024
VL 13
IS 3
AR 266
DI 10.3390/land13030266
PG 19
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA MI1Y4
UT WOS:001192914500001
OA gold
DA 2025-01-10
ER

PT J
AU dos Reis, JC
   Kamoi, MYT
   Michetti, M
   Wruck, FJ
   Rodrigues, RDR
   Neto, ALD
AF dos Reis, Julio Cesar
   Kamoi, Mariana Yumi Takahashi
   Michetti, Miqueias
   Wruck, Flavio Jesus
   Rodrigues, Renato de Aragao Ribeiro
   Neto, Austeclinio Lopes de Farias
TI Economic and environmental impacts of integrated systems adoption in
   Brazilian agriculture-forest frontier
SO AGROFORESTRY SYSTEMS
LA English
DT Article
DE Sustainable agricultural intensification; Integrated systems; Amazon;
   Cerrado; Economic viability; Environmental impacts
ID CROP-LIVESTOCK SYSTEMS; GREENHOUSE-GAS EMISSIONS; CLIMATE-CHANGE
   ADAPTATION; OF-THE-ART; SUSTAINABLE INTENSIFICATION; ECOSYSTEM SERVICES;
   LAND MANAGEMENT; FOOD SECURITY; AGROFORESTRY; PAYMENTS
AB The adoption of sustainable agricultural systems in the Brazilian Cerrado and Amazon is globally relevant, on the one hand due to the amount of commodities produced in these regions, and on the other by the critically important ecosystem services provided by these biomes. We assessed the economic performance of an integrated crop-livestock and an integrated crop-livestock-forest system at farm level comparing their results with the most representative agricultural production systems used in the Cerrado and Amazon, as follows: (i) continuous large-scale crop rotation (soybean-corn), (ii) extensive livestock. Also, we analyzed economic and environmental impacts of integrated systems widespread adoption estimating the results for production volume, gross production value, balance of trade, land-sparing effect and CO2eq sequestration using scenario analysis. The results highlighted the great influence of commodity prices on large-scale crop system and on extensive livestock economic results, particularly, gross profit. In contrast, the integrated systems showed better economic long-term results (i.e. similar payback, even with major investment, and higher profitability index). Also, integrated systems showed lower sensitiveness from commodity prices fluctuation, illustrating their capacity for market risk reduction, and their remarkable potential to increase economy results at regional level. Environmental results demonstrated the integrated systems huge potential for reduce deforestation as well as mitigate CO2eq emissions from agricultural sector, crucial issues for meeting climate commitments and global sustainable development goals. These results are useful for policy-makers and decision-takers to compare alternative farming systems performance in a global hotspot for agricultural commodities production and pressure on natural forest, and can contribute to increase adoption of sustainable agricultural systems in the Brazilian agriculture-forest frontier.
C1 [dos Reis, Julio Cesar] Embrapa Cerrados, Rodovia BR 020 Km18, BR-73310970 Brasilia, DF, Brazil.
   [Kamoi, Mariana Yumi Takahashi] Crop Livestock Forest Assoc Rede ILPF, SHCS CR Sq 515 Bl B 78, BR-70381520 Brasilia, DF, Brazil.
   [Michetti, Miqueias] Mato Grosso Inst Agr Econ IMEA, Ctr Polit Adm, Engenheiro Edgard Prado Arze St,0 Edificio Famato, BR-78049908 Cuiaba, MT, Brazil.
   [Wruck, Flavio Jesus; Neto, Austeclinio Lopes de Farias] Embrapa Agrossilvipastoril, MT 222 Highway,Km 2,5, BR-78550970 Sinop, MT, Brazil.
   [Rodrigues, Renato de Aragao Ribeiro] Univ Fed Fluminense, Programa Pos Grad Geoquim, Outeiro Joao Batista S-N, BR-24020141 Rio De Janeiro, RJ, Brazil.
C3 Empresa Brasileira de Pesquisa Agropecuaria (EMBRAPA); Empresa
   Brasileira de Pesquisa Agropecuaria (EMBRAPA); Universidade Federal
   Fluminense
RP dos Reis, JC (corresponding author), Embrapa Cerrados, Rodovia BR 020 Km18, BR-73310970 Brasilia, DF, Brazil.
EM julio.reis@embrapa.br
RI Rodrigues, Renato/AAV-1069-2021; Reis, Julio/Q-8078-2017
OI Reis, Julio/0000-0002-7939-0384
FU Embrapa Agrossilvipastoril; Mato Grosso Institute of Agricultural
   Economics (IMEA); National Rural Learning Service - MT (SENAR-MT);
   Brazilian Federal Agency for Support and Evaluation of Graduate
   Education (CAPES) [PDSE: 88881.189523/2018-01]
FX The authors thank Embrapa Agrossilvipastoril, the Mato Grosso Institute
   of Agricultural Economics (IMEA), the National Rural Learning Service -
   MT (SENAR-MT), and the Brazilian Federal Agency for Support and
   Evaluation of Graduate Education (CAPES, PDSE: 88881.189523/2018-01) for
   supporting and funding this research. We also thank all the colleagues
   and reviewers who provided important advice for improving the text. The
   remaining errors and limitations are the responsibility of the authors.
CR Andersen LE., 2002, DYNAMICS DEFORESTATI, DOI [10.1017/CBO9780511493454, DOI 10.1017/CBO9780511493454]
   [Anonymous], 2013, IPCC 5 ASS REP AR5
   Arvor D, 2018, ENVIRON DEV SUSTAIN, V20, P1, DOI 10.1007/s10668-016-9889-1
   Balbino LC., 2011, Marco Referencial: Integracao Lavoura-Pecuaria-Floresta
   Barbosa LG, 2021, LAND USE POLICY, V104, DOI 10.1016/j.landusepol.2021.105384
   Barona E, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/2/024002
   Barros GSDC, 2016, AGR TRANSFORMACAO PR
   Bell LW, 2012, AGR SYST, V111, P1, DOI 10.1016/j.agsy.2012.04.003
   Bogaerts M., 2016, CCAFS Working Paper, DOI 10.1016/j.jclepro.2017.06.130
   Bottazzi P, 2014, DEV CHANGE, V45, P105, DOI 10.1111/dech.12076
   Bowman MS, 2013, ECOL SOC, V18, DOI 10.5751/ES-05574-180133
   Bowman MS, 2012, LAND USE POLICY, V29, P558, DOI 10.1016/j.landusepol.2011.09.009
   Brasil, 2016, PRETENTIDA CONTRIBUI
   Brasil, 2021, RUR CRED QUANT VAL C
   Brasil, 2012, PLANO SETORIAL MITIG
   Brasil, 2010, DECRETO N 7390 09 DE
   Buarque C, 1984, AVALIACAO EC PROJETO
   Bueno RD, 2021, IFOREST, V14, P285, DOI 10.3832/ifor3779-014
   Calle A, 2009, BOIS FOR TROP, P79
   Campos P., 2009, V6, P269
   Carrer MJ, 2020, LAND USE POLICY, V92, DOI 10.1016/j.landusepol.2020.104468
   CEPEA/ESALQ, 2021, PIB AGRO
   Chen YJ, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9081459
   Coe MT, 2013, PHILOS T R SOC B, V368, DOI 10.1098/rstb.2012.0155
   Cohn AS, 2014, P NATL ACAD SCI USA, V111, P7236, DOI 10.1073/pnas.1307163111
   Cole RJ, 2010, INT J SUST DEV WORLD, V17, P208, DOI 10.1080/13504501003729085
   Cortner O, 2019, LAND USE POLICY, V82, P841, DOI 10.1016/j.landusepol.2019.01.006
   Costa FP, 2012, 7 C LAT SIST AGR PRO, P523
   Costa MP, 2018, J CLEAN PROD, V171, P1460, DOI 10.1016/j.jclepro.2017.10.063
   Cranford M, 2014, WORLD DEV, V64, P503, DOI 10.1016/j.worlddev.2014.06.019
   de Oliveira PPB, 2013, LECT NOTES COMPUT SC, V8155, P1, DOI 10.1007/978-3-642-40867-0_1
   Deng J, 2016, SCI TOTAL ENVIRON, V550, P382, DOI 10.1016/j.scitotenv.2016.01.152
   Domiciano LF, 2020, AGROFOREST SYST, V94, P1839, DOI 10.1007/s10457-020-00499-1
   dos Reis JC, 2020, REPOSITORIO CASOS BI
   dos Reis JC, 2016, SUSTENTABILIDADE DEB, V7, P58, DOI [10.18472/SustDeb.v7n1.2016.18061, DOI 10.18472/SUSTDEB.V7N1.2016.18061]
   dos Reis JC, 2021, J CLEAN PROD, V283, DOI 10.1016/j.jclepro.2020.124580
   dos Reis JC, 2020, RENEW AGR FOOD SYST, V35, P631, DOI 10.1017/S1742170519000280
   Embrapa; Rede ILPF, 2017, ILPF NUMEROS
   Fearnside PM, 1996, FOREST ECOL MANAG, V80, P21, DOI 10.1016/0378-1127(95)03647-4
   Foley JA, 2011, NATURE, V478, P337, DOI 10.1038/nature10452
   Franzluebbers AJ, 2007, AGRON J, V99, P361, DOI 10.2134/agronj2006.0076
   Freitas RE, 2016, AGR TRANSFORMACAO PR
   Garrett RD, 2018, GLOBAL ENVIRON CHANG, V53, P233, DOI 10.1016/j.gloenvcha.2018.09.011
   Garrett RD, 2017, AGR SYST, V155, P136, DOI 10.1016/j.agsy.2017.05.003
   Garrett RD, 2017, ECOL SOC, V22, DOI 10.5751/ES-09364-220327
   Garrett RD, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9030473
   Gebara MF, 2017, FORESTS, V8, DOI 10.3390/f8030066
   Giampietro M, 1997, AGR ECOSYST ENVIRON, V62, P145, DOI 10.1016/S0167-8809(96)01137-1
   Gil JDB, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aac4d1
   Gitman L.J., 2014, Principles of managerial finance, V13th
   Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383
   Gordillo F, 2021, FORESTS, V12, DOI 10.3390/f12070906
   Haile KK, 2019, ECOSYST SERV, V39, DOI 10.1016/j.ecoser.2019.100964
   Herrero M, 2010, SCIENCE, V327, P822, DOI 10.1126/science.1183725
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   IBGE, 2020, CENS AGR 2017
   IBGE-SIDRA, Instituto Brasileiro de Geografia e Estatistica-Sistema de Recuperacao Automatica Producao Agricola Municipal
   IMEA, 2021, I MATOGROSSENSE EC A
   INPE, 2021, I NAC PESQ ESP INPE
   Jordan CF., 2016, BIOPHYS EC RESOUR QU, V1, P9, DOI [10.1007/s41247-016-0010-z, DOI 10.1007/S41247-016-0010-Z]
   Junior RG, 2016, 2 INT S GREENHOUSE G
   King BL, 2012, PLOS ONE, V7, DOI [10.1371/journal.pone.0047149, 10.1371/journal.pone.0047981, 10.1371/journal.pone.0046524]
   Kluthcouski, 2013, EVOLUCAO SISTEMAS IN
   Kluthcouski J., 2003, Integracao Lavoura-Pecuaria
   Krishnamurthy L, 2019, AGROFOREST SYST, V93, P503, DOI 10.1007/s10457-017-0143-0
   LAPIG, 2018, ATL PAST BRAS
   Lapola DM, 2014, NAT CLIM CHANGE, V4, P27, DOI 10.1038/NCLIMATE2056
   Lapponi J, 2013, PROJETOS INVESTIMENT
   Latawiec AE, 2014, ANIMAL, V8, P1255, DOI 10.1017/S1751731114001566
   Latawiec AE, 2017, AGR ECOSYST ENVIRON, V240, P276, DOI 10.1016/j.agee.2017.01.043
   Lemaire G, 2014, AGR ECOSYST ENVIRON, V190, P4, DOI 10.1016/j.agee.2013.08.009
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   Locke Andrea, 2009, Aquatic Invasions, V4, P1, DOI 10.1007/s10457-009-9229-7
   Magalhaes CAS, 2019, AGROFOREST SYST, V93, P2085, DOI 10.1007/s10457-018-0311-x
   Malhi Y, 2008, SCIENCE, V319, P169, DOI 10.1126/science.1146961
   MAPA, 2020, MIN AGR PEC AB VAL B
   Martha GB, 2012, AGR SYST, V110, P173, DOI 10.1016/j.agsy.2012.03.001
   Martha GB, 2011, PESQUI AGROPECU BRAS, V46, P1117, DOI 10.1590/S0100-204X2011001000002
   Montagnini F., 2005, Journal of Sustainable Forestry, V21, P51, DOI 10.1300/J091v21n01_03
   Macedo MCM, 2009, REV BRAS ZOOTECN, V38, P133, DOI 10.1590/S1516-35982009001300015
   Muniz L. R., 2007, 45 C SOC BRAS EC ADM
   Muradian R, 2013, CONSERV LETT, V6, P274, DOI 10.1111/j.1755-263X.2012.00309.x
   NAIR PKR, 1991, FOREST ECOL MANAG, V45, P5, DOI 10.1016/0378-1127(91)90203-8
   Carvalho JLN, 2010, SOIL TILL RES, V110, P175, DOI 10.1016/j.still.2010.07.011
   Odum HT, 1984, ENERG AGR, P24, DOI [10.1007/978-3-642-69784-5_3, DOI 10.1007/978-3-642-69784-5_3]
   Oliveira JD, 2018, REG ENVIRON CHANGE, V18, P105, DOI 10.1007/s10113-017-1146-0
   Pagiola S, 2010, ENVIRON RESOUR ECON, V47, P371, DOI 10.1007/s10640-010-9383-4
   Pizarro D, 2020, AGROFOREST SYST, V94, P173, DOI 10.1007/s10457-019-00381-9
   Poffenbarger H, 2017, AGR SYST, V157, P51, DOI 10.1016/j.agsy.2017.07.001
   Porras Ina., 2010, Fair and green? Social impacts of payments for environmental services in Costa Rica
   Pretty J, 2008, PHILOS T R SOC B, V363, P447, DOI 10.1098/rstb.2007.2163
   Pretty J, 2018, SCIENCE, V362, P908, DOI 10.1126/science.aav0294
   Raes L, 2017, ENVIRON MANAGE, V60, P200, DOI 10.1007/s00267-017-0876-6
   Rodrigues GS, 2002, 3 BIENNAL INT WORKSH, P605
   Ryschawy J, 2012, ANIMAL, V6, P1722, DOI 10.1017/S1751731112000675
   Salton JC, 2014, AGR ECOSYST ENVIRON, V190, P70, DOI 10.1016/j.agee.2013.09.023
   SCHALLER N, 1993, AGR ECOSYST ENVIRON, V46, P89, DOI 10.1016/0167-8809(93)90016-I
   Shively GE, 2001, J DEV ECON, V65, P267, DOI 10.1016/S0304-3878(01)00137-7
   Silva CHL, 2021, NAT ECOL EVOL, V5, P144, DOI 10.1038/s41559-020-01368-x
   Silva RD, 2016, NAT CLIM CHANGE, V6, P493, DOI 10.1038/NCLIMATE2916
   SIRENE, 2017, SIST REG NAC EM SIRE
   Smit Barry., 1993, Canadian Journal of Regional Science, VXVI, P499
   Sneessens I, 2016, ANIMAL, V10, P1911, DOI 10.1017/S1751731116000720
   Sneessens I, 2019, AGR SYST, V176, DOI 10.1016/j.agsy.2019.102658
   Soto-Pinto L, 2010, AGROFOREST SYST, V78, P39, DOI 10.1007/s10457-009-9247-5
   Steffen W, 2015, SCIENCE, V347, DOI 10.1126/science.1259855
   Strassburg BBN, 2014, GLOBAL ENVIRON CHANG, V28, P84, DOI 10.1016/j.gloenvcha.2014.06.001
   Szymczak LS, 2020, AGR SYST, V184, DOI 10.1016/j.agsy.2020.102904
   Thornton PK, 2014, GLOB FOOD SECUR-AGR, V3, P99, DOI 10.1016/j.gfs.2014.02.002
   Tilman D, 2011, P NATL ACAD SCI USA, V108, P20260, DOI 10.1073/pnas.1116437108
   Tubiello FN, 2015, GLOBAL CHANGE BIOL, V21, P2655, DOI 10.1111/gcb.12865
   UNEP, 2011, A Synthesis for Policy Makers
   United Nations, 2015, Transforming our world: The 2030 Agenda for Sustainable Development
   Vieira Filho JER, 2018, EFEITO POUPA TERRA G
   Vilela L, 2011, PESQUI AGROPECU BRAS, V46, P1127, DOI 10.1590/S0100-204X2011001000003
   Vogel E, 2021, AGR SYST, V190, DOI 10.1016/j.agsy.2021.103109
   Wilkins RJ, 2008, PHILOS T R SOC B, V363, P517, DOI 10.1098/rstb.2007.2167
   World Resources Institute, 2015, GREENHOUSE GAS PROTO
   zu Ermgassen EKHJ, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10041301
NR 119
TC 3
Z9 3
U1 3
U2 26
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0167-4366
EI 1572-9680
J9 AGROFOREST SYST
JI Agrofor. Syst.
PD JUN
PY 2023
VL 97
IS 5
BP 847
EP 863
DI 10.1007/s10457-023-00831-5
EA MAR 2023
PG 17
WC Agronomy; Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Forestry
GA F7GI3
UT WOS:000950108000001
DA 2025-01-10
ER

PT J
AU Wang, YF
   Way, RG
   Beer, J
   Forget, A
   Tutton, R
   Purcell, MC
AF Wang, Yifeng
   Way, Robert G.
   Beer, Jordan
   Forget, Anika
   Tutton, Rosamond
   Purcell, Meredith C.
TI Significant underestimation of peatland permafrost along the Labrador
   Sea coastline in northern Canada
SO CRYOSPHERE
LA English
DT Article
ID CLIMATE-CHANGE; BOREAL FOREST; PALSA; CARBON; DISTRIBUTIONS;
   DEGLACIATION; TEMPERATURE; VEGETATION; PLATEAU; ONTARIO
AB Northern peatlands cover approximately four million km(2), and about half of these peatlands are estimated to contain permafrost and periglacial landforms, like palsas and peat plateaus. In northeastern Canada, peatland permafrost is predicted to be concentrated in the western interior of Labrador but is assumed to be largely absent along the Labrador Sea coastline. However, the paucity of observations of peatland permafrost in the interior, coupled with traditional and ongoing use of perennially frozen peatlands along the coast by Labrador Inuit and Innu, suggests a need for re-evaluation of the reliability of existing peatland permafrost distribution estimates for the region. In this study, we develop a multi-stage consensus-based point inventory of peatland permafrost complexes in coastal Labrador and adjacent parts of Quebec using high-resolution satellite imagery, and we validate it with extensive field visits and low-altitude aerial photography and videography. A subset of 2092 wetland complexes that potentially contained peatland permafrost were inventoried, of which 1119 were classified as likely containing peatland permafrost. Likely peatland permafrost complexes were mostly found in lowlands within 22 km of the coastline, where mean annual air temperatures often exceed +1 ?. A clear gradient in peatland permafrost distribution exists from the outer coasts, where peatland permafrost is more abundant, to inland peatlands, where permafrost is generally absent. This coastal gradient may be attributed to a combination of climatic and geomorphological influences which lead to lower insolation, thinner snowpacks, and poorly drained, frost-susceptible materials along the coast. The results of this study suggest that existing estimates of permafrost distribution for southeastern Labrador require adjustments to better reflect the abundance of peatland permafrost complexes to the south of the regional sporadic discontinuous permafrost limit. This study constitutes the first dedicated peatland permafrost inventory for Labrador and provides an important baseline for future mapping, modelling, and climate change adaptation strategy development in the region.
C1 [Wang, Yifeng; Way, Robert G.; Beer, Jordan; Forget, Anika; Tutton, Rosamond] Northern Environm Geosci Lab, Dept Geog & Planning, Kingston, ON K7L 3N6, Canada.
   [Tutton, Rosamond] Wilfrid Laurier Univ, Global Water Futures, Yellowknife, NT X1A 2P8, Canada.
   [Purcell, Meredith C.] Torngat Wildlife Plants & Fisheries Secretariat, Happy Valley Goose Bay, NS A0P 1E0, Canada.
C3 Wilfrid Laurier University
RP Wang, YF (corresponding author), Northern Environm Geosci Lab, Dept Geog & Planning, Kingston, ON K7L 3N6, Canada.
EM yifeng.wang@queensu.ca
RI Way, Robert/B-1417-2013
OI Wang, Yifeng/0000-0003-2660-7874
FU Natural Sciences and Engineering Research Council of Canada (Discovery
   Grant Program and Northern Research Supplement), Polar Knowledge Canada
   (Northern Scientific Training Program); Queen's University (Graduate
   Dean's Doctoral Field Travel Grant)
FX This research has been supported by the Natural Sciences and Engineering
   Research Council of Canada (Discovery Grant Program and Northern
   Research Supplement), Polar Knowledge Canada (Northern Scientific
   Training Program), and Queen's University (Graduate Dean's Doctoral
   Field Travel Grant)
CR Allard M, 1999, GEOGR PHYS QUATERN, V53, P373, DOI 10.7202/004760ar
   Allard M., 2007, Geographie physique et Quaternaire, V41, P141, DOI DOI 10.7202/032671AR
   Anderson D, 2018, HUM ECOL, V46, P849, DOI 10.1007/s10745-018-0038-3
   Andrews J. T., 1961, THESIS MCGILL U MONT
   [Anonymous], CANADIAN CLIMATE NOR
   arcgis.com, WORLD IM ERS DAT SET
   Banfield CE, 1998, CAN GEOGR-GEOGR CAN, V42, P354, DOI 10.1111/j.1541-0064.1998.tb01351.x
   Barrette C., 2020, NUNAVIK NUNATSIAVUT, P62
   Beilman DW, 2001, ARCT ANTARCT ALP RES, V33, P70, DOI 10.2307/1552279
   Bell T., 2011, Landscape hazard assessment in Nain, Phase I: Inventory of surficial sediment types and infrastructure damage
   Boisson A., 2018, COASTAL CLASSIFICATI
   Borge AF, 2017, CRYOSPHERE, V11, P1, DOI 10.5194/tc-11-1-2017
   Brown R., 1979, G OGRAPHIE PHYS QUAT, V33, P279, DOI [DOI 10.7202/1000364AR, 10.7202/1000364ar]
   Brown R., 2012, NUNAVIK NUNATSIAVUT, DOI [10.13140/2.1.1041.7284, DOI 10.13140/2.1.1041.7284]
   Brown R. J. E, 1975, 449 NAT RES COUNC CA, DOI [10.4224/20374659, DOI 10.4224/20374659]
   BURN CR, 1988, ARCTIC, V41, P99
   Coultish TL, 2003, PERMAFROST, VOLS 1 AND 2, P163
   Davis E, 2021, ECOSYSTEMS, V24, P1038, DOI 10.1007/s10021-020-00577-6
   Dionne J. C., 1984, Geographie Physique et Quaternaire, V38, P165
   Dyke A., 2005, G OGRAPHIE PHYS QUAT, V59, P155, DOI DOI 10.7202/014753AR
   Dyke AS, 2004, DEV QUA SCI, V2, P373, DOI 10.1016/S1571-0866(04)80209-4
   ELIAS SA, 1982, ARCTIC ALPINE RES, V14, P311, DOI 10.2307/1550794
   Environment Canada, 1999, AUD TAP TRANSCR E CE
   Fewster RE, 2020, QUATERNARY SCI REV, V240, DOI 10.1016/j.quascirev.2020.106337
   FOSTER DR, 1986, J ECOL, V74, P47, DOI 10.2307/2260348
   FOSTER DR, 1983, CAN J BOT, V61, P2459, DOI 10.1139/b83-269
   Fulton R. J., 1989, QUATERNARY GEOLOGY C
   Fulton R.J., 1995, A" Series Map, p1 sh, DOI DOI 10.4095/205040
   Gibson C, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abe74b
   Gibson C., 2020, THERMOKARST MAPPING, P29
   GORHAM E, 1991, ECOL APPL, V1, P182, DOI 10.2307/1941811
   Gorham E, 2007, QUATERNARY SCI REV, V26, P300, DOI 10.1016/j.quascirev.2006.08.008
   Hagedorn G. W., GOV NFLD LABRADOR DE, V22, P189
   Hare FK, 1950, GEOGR REV, V40, P615, DOI 10.2307/211106
   Heginbottom J., 1995, CANADA PERMAFROST MA, DOI [10.4095/294672, DOI 10.4095/294672]
   Holloway JE, 2020, PERMAFROST PERIGLAC, V31, P85, DOI 10.1002/ppp.2017
   Hugelius G, 2014, BIOGEOSCIENCES, V11, P6573, DOI 10.5194/bg-11-6573-2014
   Hugelius G, 2020, P NATL ACAD SCI USA, V117, P20438, DOI 10.1073/pnas.1916387117
   Hustich I., 1939, ACTA GEOGR, V7
   Ives J. D., 1979, GEOGRAPHIE PHYS QUAT, V33, P233, DOI [10.7202/1000360ar, DOI 10.7202/1000360AR]
   Jorgenson MT, 2010, CAN J FOREST RES, V40, P1219, DOI 10.1139/X10-060
   Karger DN, 2017, SCI DATA, V4, DOI 10.1038/sdata.2017.122
   Karger DN, 2021, EnviDat, DOI [DOI 10.16904/ENVIDAT.228.V2.1, 10.16904/envidat.228.v2.1]
   Karst AL, 2011, ETHNOBIOL LETT, V2, P6
   Mamet SD, 2017, PERMAFROST PERIGLAC, V28, P619, DOI 10.1002/ppp.1951
   McLaughlin J, 2014, ARCT ANTARCT ALP RES, V46, P84, DOI 10.1657/1938-4246-46.1.84
   Natural Resources Canada, 2005, STAND SPEC NAT TOP D
   Norton CH, 2021, ECON BOT, V75, P287, DOI 10.1007/s12231-021-09530-7
   O'Neill HB, 2019, CRYOSPHERE, V13, P753, DOI 10.5194/tc-13-753-2019
   Obu J, 2019, EARTH-SCI REV, V193, P299, DOI 10.1016/j.earscirev.2019.04.023
   Occhietti S, 2011, DEV QUATER SCI, V15, P601, DOI 10.1016/B978-0-444-53447-7.00047-7
   Olefeldt D, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms13043
   Olefeldt D, 2021, EARTH SYST SCI DATA, V13, P5127, DOI 10.5194/essd-13-5127-2021
   Ou CP, 2016, INT J REMOTE SENS, V37, P2751, DOI 10.1080/01431161.2016.1151574
   Parviainen M, 2007, GEOGR ANN A, V89A, P137, DOI 10.1111/j.1468-0459.2007.00314.x
   Payette S, 2004, GEOPHYS RES LETT, V31, DOI 10.1029/2004GL020358
   Payette S., 2001, Ecologie des tourbieres du Quebec-Labrador
   Payette S., 1983, NORDICANA, V47, P3
   Pironkova Z, 2017, CAN J REMOTE SENS, V43, P455, DOI 10.1080/07038992.2017.1370366
   R Core Team, R A Language and Environment for Statistical Computing
   Ramsdale JD, 2017, PLANET SPACE SCI, V140, P49, DOI 10.1016/j.pss.2017.04.002
   Roberts BA, 2006, ECOL RES, V21, P868, DOI 10.1007/s11284-006-0051-7
   Seguin M. K., 1992, GEOL SURV CAN CURR R, P207
   SEPPALA M, 1994, PERMAFROST PERIGLAC, V5, P283, DOI 10.1002/ppp.3430050407
   Seppala M., 1986, GEOGR ANN A, V68, P141, DOI [10.2307/521453, DOI 10.1080/04353676.1986.11880167]
   Smith J. S., 2003, THESIS MEMORIAL U NE
   Smith MW, 2002, PERMAFROST PERIGLAC, V13, P1, DOI 10.1002/ppp.410
   Tarnocai C., Geol. Surv. Canada open file, P6561, DOI DOI 10.4095/288786
   Tarnocai C, 2009, CAN WATER RESOUR J, V34, P453, DOI 10.4296/cwrj3404453
   Thibault S, 2009, PERMAFROST PERIGLAC, V20, P383, DOI 10.1002/ppp.660
   THIE J, 1974, ARCTIC, V27, P189
   Vacchi M, 2018, QUATERNARY SCI REV, V201, P124, DOI 10.1016/j.quascirev.2018.09.043
   Vallée S, 2007, GEOMORPHOLOGY, V90, P162, DOI 10.1016/j.geomorph.2007.01.019
   van Everdingen RobertO., 2005, Multi-language glossary of permafrost and related ground-ice terms
   Wang Y., 2022, COASTAL LABRADOR PEA, DOI [10.5885/45762XD-1DB498A49B864CFB, DOI 10.5885/45762XD-1DB498A49B864CFB]
   Way R. G., 2017, THESIS U OTTAWA OTTA
   Way R.G., 2015, P G OQUEBEC P, P8, DOI [10.13140/RG.2.1.1647.8803, DOI 10.13140/RG.2.1.1647.8803]
   Way RG, 2021, PERMAFROST 2021: MERGING PERMAFROST SCIENCE AND COLD REGIONS ENGINEERING, P38
   Way RG, 2021, PERMAFROST 2021: MERGING PERMAFROST SCIENCE AND COLD REGIONS ENGINEERING, P130
   Way RG, 2018, CRYOSPHERE, V12, P2667, DOI 10.5194/tc-12-2667-2018
   Way RG, 2018, PERMAFROST PERIGLAC, V29, P73, DOI 10.1002/ppp.1972
   Way RG, 2017, INT J CLIMATOL, V37, P493, DOI 10.1002/joc.4721
   Way RG, 2015, THEOR APPL CLIMATOL, V121, P413, DOI 10.1007/s00704-014-1248-2
   Wenner -CG, 1947, Geografiska Annaler, V29, P137, DOI 10.2307/519998
   Williams P.J., 1989, FROZEN EARTH FUNDAME
   ZOLTAI S C, 1972, Canadian Journal of Forest Research, V2, P291, DOI 10.1139/x72-046
   ZOLTAI SC, 1975, CAN J EARTH SCI, V12, P28, DOI 10.1139/e75-004
   Zuidhoff FS, 2005, ARCT ANTARCT ALP RES, V37, P49, DOI 10.1657/1523-0430(2005)037[0049:PDAAVI]2.0.CO;2
NR 88
TC 9
Z9 8
U1 4
U2 12
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 1994-0416
EI 1994-0424
J9 CRYOSPHERE
JI Cryosphere
PD JAN 10
PY 2023
VL 17
IS 1
BP 63
EP 78
DI 10.5194/tc-17-63-2023
PG 16
WC Geography, Physical; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Physical Geography; Geology
GA 7T3UA
UT WOS:000911368900001
OA gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Moatty, A
   Vinet, F
   Defossez, S
   Cherel, JP
   Grelot, F
AF Moatty, Annabelle
   Vinet, Freddy
   Defossez, Stephanie
   Cherel, Jean-Philippe
   Grelot, Frederic
TI Integrating a "preventive ethic" in the post-disaster recovery process:
   resilience, adaptations and "preventive reconstruction"
SO HOUILLE BLANCHE-REVUE INTERNATIONALE DE L EAU
LA French
DT Article
DE post-disaster recovery; preventive ethic; adaptations; resilience
AB Post-disaster recovery, understood as the set of measures allowing to restore an acceptable functioning of the territory, is a concept which has appeared relatively recently in the scientific and geographical literature of risks. It can be, yet not automatically, addressed by collective and individual, planned and spontaneous coping strategies, which the objectives may vary according to the interests. The anticipation of reconstruction is a major challenge to optimize the integration of a "preventive ethic" and, more generally, to facilitate decision-making in the post-disaster period. The study of the phases of the process through medium- and long-term feedback allows us to identify rules, and to define constraining factors and pitfalls in the one hand, and favourable conditions and means of action in the other hand, regarding the Disaster Risk Reduction and Climate Change Adaptation to pursue Sustainable Development objectives. This method combines the social science surveys, documentary analysis and GIS, and is carried out several years after the disaster. To illustrate the reasoning and clarify the links between adaptations and resilience, we rely on the analysis of two post-disaster reconstructions in the French metropolitan area: the Aude department after the floods of 12 and 13 November 1999, and the Dracenie area (Var department) following the floods of 15 and 16 June 2010. They are also completed by an analysis of the evolution of risk and disaster management perceptions, and an analysis of long-term memory in the municipality of Cuxac-d'Aude. Examples of adaptations have been integrated into the reconstruction but opportunistically without a real overall strategy. It appears that the catastrophic event alone cannot be the trigger for an increase of resilience and a real strategy of adaptation to risk. Henceforth, the implementation of a preventive reconstruction cannot be improvised: the anticipation effort is as necessary as necessarily limited by the need for ad hoc adjustment of recovery strategies.
C1 [Moatty, Annabelle; Vinet, Freddy; Defossez, Stephanie; Cherel, Jean-Philippe] Univ Montpellier 3, IRD, Unite Mixte Rech Gouvernance Risques Environm & D, 2 Rue Pr Henri Serres, F-34000 Montpellier, France.
   [Grelot, Frederic] IRSTEA Inst Natl Rech Sci & Technol Environm & Ag, Usages G EAU, Acteurs, Unite Mixte Rech Gest Eau, 361 Rue JF Breton, F-34000 Montpellier, France.
C3 Universite de Montpellier; Institut de Recherche pour le Developpement
   (IRD); Universite Paul-Valery; INRAE; AgroParisTech; Institut de
   Recherche pour le Developpement (IRD)
RP Moatty, A (corresponding author), Univ Montpellier 3, IRD, Unite Mixte Rech Gouvernance Risques Environm & D, 2 Rue Pr Henri Serres, F-34000 Montpellier, France.
EM amoatty@yahoo.fr; freddy.vinet@univ-montp3.fr;
   stephanie.defossez@univ-montp3.fr; jean-philippe.cherel@univ-montp3.fr;
   frederic.grelot@irstea.fr
RI vinet, freddy/KWU-5474-2024; Moatty, Annabelle/AFM-5586-2022
OI Grelot, Frederic/0000-0003-2638-8114; Moatty,
   Annabelle/0000-0003-0175-646X
CR Anderson MaryB., 1989, Rising from the Ashes: Development Strategies in times of Disaster
   [Anonymous], 2005, UN INT STRATEGY DISA
   Aysan Y., 1993, Rehabilitation and reconstruction
   Beraud H., 2013, INITIER RESILIENCE S
   Bourguignon D., 2014, EVENEMENTS TERRITOIR
   CETE, 2000, BIL PRE DIAGN PROP A
   Christoplos I., 2006, ELUSIVE WINDOW OPPOR
   Clinton W.J., 2006, LESSONS LEARNED TSUN
   Collombat P., 2012, SE DONNER MOYENS SES
   Cour Des Comptes, 2012, ENS IN 2010 LITT ATL, P2999
   de Vanssay B., 2010, RISQUES INFO, V24, P6
   Defossez S., 2009, Evaluation des mesures de gestion du risque inondation. Application au cas des basses plaines de l'Aude
   Djament-Tran G., 2012, CE QUE RESILIENCE NE
   Douard P., 2004, RISQUES NATURELS AME, P14
   Fleury A., 2001, COURS AGR URBAINE
   Gaillard J.-C., 2002, ANN GEOGR, V627-628, P574
   Gaillard JC, 2008, AUST J EMERG MANAG, V23, P31
   Galley R., 2001, INONDATIONS MOBILISA
   Hubert G., 1999, COUT RISQUE EVALUATI
   Huet P., 2005, IGE05017
   Ingram JC, 2006, ENVIRON SCI POLICY, V9, P607, DOI 10.1016/j.envsci.2006.07.006
   Ledoux B., 2000, RETOUR EXPERIENCE GE
   Lefort P., 2011, CRUE 15 16 JUIN 2010, V1
   Lefort P., 2011, CRUE 15 16 JUIN 2010, V2
   Lefrou C, 2000, CRUES 12 13 14 NOVEM
   Leone F., 2007, MEMOIRE HABILITATION
   Mariani T., 1994, J OFFICIEL ASSE 1104
   Moatty A., 2017, CONNAISSANCE GESTION, V2
   Moatty A., 2015, GEOGRAPHIE RECONSTRU
   Moatty A., 2017, Annales de geographie, V714, P169, DOI [10.3917/ag.714.0169, DOI 10.3917/AG.714.0169]
   Moatty A., 2016, E3S WEB C FLOODRISK
   OLIVERSMITH A, 1991, DISASTERS, V15, P12, DOI 10.1111/j.1467-7717.1991.tb00423.x
   Olshansky RB, 2012, NAT HAZARDS REV, V13, P173, DOI 10.1061/(ASCE)NH.1527-6996.0000077
   Presentation de la MRN, 2018, PRESENTATION MRN
   Quenault B, 2015, DEV DURABLE TERRIT, V6, DOI 10.4000/developpementdurable.11010
   Reghezza M., 2015, RESILIENCES SOC TERR
   Reghezza M., 2012, CYBERGEO EUROPEAN J
   Rouzeau M., 2010, RETOUR EXPERIENCE IN
   UNISDR, 2015, Sendai Framework for Disaster Risk Reduction 2015-2030
   Vinet, 2003, CRUES INONDATIONS FR
   Vinet F., 2017, Introduction. Floods
   Wybo J. L., 2003, PROGR EV PREV RISQ C
NR 42
TC 3
Z9 3
U1 1
U2 20
PU EDP SCIENCES S A
PI LES ULIS CEDEX A
PA 17, AVE DU HOGGAR, PA COURTABOEUF, BP 112, F-91944 LES ULIS CEDEX A,
   FRANCE
SN 0018-6368
EI 1958-5551
J9 HOUILLE BLANCHE
JI Houille Blanche-Rev. Int.
PD OCT-DEC
PY 2018
IS 5-6
BP 11
EP 19
DI 10.1051/lhb/2018046
PG 9
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA HI8VU
UT WOS:000456734800002
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Thorne, KM
   Elliott-Fisk, DL
   Freeman, CM
   Bui, TVD
   Powelson, KW
   Janousek, CN
   Buffington, KJ
   Takekawa, JY
AF Thorne, Karen M.
   Elliott-Fisk, Deborah L.
   Freeman, Chase M.
   Bui, Thpy-Vy D.
   Powelson, Katherine W.
   Janousek, Christopher N.
   Buffington, Kevin J.
   Takekawa, John Y.
TI Are coastal managers ready for climate change? A case study from
   estuaries along the Pacific coast of the United States
SO OCEAN & COASTAL MANAGEMENT
LA English
DT Article
DE Sea-level rise; Wetlands; Collaboration; Workshops
ID CHANGE IMPACTS; ADAPTATION; VULNERABILITY; FRAMEWORK
AB A key challenge for coastal resource managers is to plan and implement climate change adaptation strategies inlight of uncertainties and competing management priorities. In 2014, we held six workshops across estuaries along the Pacific coast of North America with over 150 participants to evaluate resource managers' perceived level of understanding of climate change science, where they obtain information, how they use this knowledge, and their preparedness for incorporating climate change into their management decisions. We found that most resource managers understood the types of climate change impacts likely to occur in their estuaries, but often lacked the scientific information to make decisions and plan effectively. Managers stated that time, money, and staff resources were the largest obstacles in their efforts. Managers identified that they learned most of their information from peers, scientific journals, and the Internet and indicated that sea-level rise was their greatest concern. There was, however, variation in managers' levels of readiness and perceived knowledge within and among workshop locations. The workshops revealed that some regions don't have the information they need or the planning capacity to effectively integrate climate change into their management, with eight out of fifteen site comparisons showing a significant difference between their level of preparedness (F-5,F-26 = 6.852; p = 0.0003), and their willingness to formally plan (F-5,F-26 = 12.84; p = 0.000002). We found that Urban estuaries were significantly different from Mixed Use and Rural estuaries, in having access to information and feeling more prepared to conduct climate change planning and implementation (F-2,F-29 = 17.34; p = 0.00001). To facilitate climate change preparedness more comprehensive integration of science into management decisions is essential. Published by Elsevier Ltd.
C1 [Thorne, Karen M.; Freeman, Chase M.; Bui, Thpy-Vy D.; Powelson, Katherine W.; Janousek, Christopher N.; Buffington, Kevin J.; Takekawa, John Y.] US Geol Survey, Western Ecol Res Ctr, San Francisco Bay Estuary Field Stn, 505 Azuar Dr, Vallejo, CA 94592 USA.
   [Elliott-Fisk, Deborah L.] Univ Calif Davis, Dept Wildlife Fish & Conservat Biol, One Shields Ave, Davis, CA 95616 USA.
   [Janousek, Christopher N.; Buffington, Kevin J.] Oregon State Univ, Dept Fisheries & Wildlife, 104 Nash Hall, Corvallis, OR 97331 USA.
   [Powelson, Katherine W.] Univ Calif Davis, Dept Environm Sci & Policy, One Shields Ave, Davis, CA 95616 USA.
C3 United States Department of the Interior; United States Geological
   Survey; University of California System; University of California Davis;
   Oregon State University; University of California System; University of
   California Davis
RP Thorne, KM (corresponding author), US Geol Survey, Western Ecol Res Ctr, San Francisco Bay Estuary Field Stn, 505 Azuar Dr, Vallejo, CA 94592 USA.
EM kthorne@usgs.gov; dlelliottfisk@ucdavis.edu; cfreeman@usgs.gov;
   tbui@usgs.gov; kpowelson@usgs.gov; janousec@oregonstate.edu;
   kbuffington@usgs.gov; john_takekawa@usgs.gov
RI Janousek, Christopher/AAN-2890-2020
OI Freeman, Chase/0000-0003-4211-6709
FU U.S. Geological Survey; Western Ecological Research Center, Oregon State
   University; U.S. Fish and Wildlife Service, California; North Pacific
   Landscape Conservation Cooperatives
FX The authors would like to thank the U.S. Geological Survey, Western
   Ecological Research Center, Oregon State University, U.S. Fish and
   Wildlife Service, California and North Pacific Landscape Conservation
   Cooperatives for funding support and the Department of Interior
   Northwest and Southwest Climate Science Centers for contributions. We
   would also like to thank B. Dugger, G. MacDonald, and R. Ambrose for
   data contributions for modeling, and workshop participants for the
   feedback and valuable input to this effort. We are grateful to K.
   Spragens, S. De La Cruz, I. Woo, M. Davis, L. Shakeri, and S. Blakely
   for workshop assistance and expertise. Helpful comments were provided by
   S. Jones on previous versions of the manuscript. Any use of trade,
   product, or firm names in this publication is for descriptive purposes
   only and does not imply endorsement by the U.S. government.
CR Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Agency U. S. E. P, 2016, STORMW MAN RESP CLIM
   [Anonymous], 2013, US SCEN EXPL CLIM CH
   [Anonymous], 2012, USCSGTR012012
   [Anonymous], 2011, SCANNING CONSERVATIO
   Association of Fish and Wildlife Agencies, 2012, NAT FISH WILDL PLANT
   Bierbaum R, 2013, MITIG ADAPT STRAT GL, V18, P361, DOI 10.1007/s11027-012-9423-1
   Center N. O. and NOAA CS A. A., 2011, COAST SEA LEV CHANG
   Cross MS, 2012, ENVIRON MANAGE, V50, P341, DOI 10.1007/s00267-012-9893-7
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   Esteves LS, 2013, J COASTAL RES, P933, DOI 10.2112/SI65-158.1
   Ford JD, 2013, GLOBAL ENVIRON CHANG, V23, P1317, DOI 10.1016/j.gloenvcha.2013.06.001
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   Hansen L, 2010, CONSERV BIOL, V24, P63, DOI 10.1111/j.1523-1739.2009.01404.x
   Harley CDG, 2006, ECOL LETT, V9, P228, DOI 10.1111/j.1461-0248.2005.00871.x
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hunt A, 2011, CLIMATIC CHANGE, V104, P13, DOI 10.1007/s10584-010-9975-6
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Klein RJT, 1999, AMBIO, V28, P182
   Klenk HD, 2015, SCIENCE, V349, P693, DOI 10.1126/science.aad0681
   Lemos MC, 2005, GLOBAL ENVIRON CHANG, V15, P57, DOI 10.1016/j.gloenvcha.2004.09.004
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   ORiordan T, 1997, LAND USE POLICY, V14, P257, DOI 10.1016/S0264-8377(97)00024-0
   Partnership CM., 2013, CONS MEAS PARTN OP S
   Peterson G., 1997, Conservation Ecology, V1, P4
   Scavia D, 2002, ESTUARIES, V25, P149, DOI 10.1007/BF02691304
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Stein B A., 2014, Climate-Smart Conservation: Putting Adaptation Principles into Practice
   Thorne K., 2013, Final report for sealevel rise response modeling for San Francisco Bay estuary tidal marshes, P161
   Thorne K. M., 2015, 20151204 US GEOL SUR
   Thorne KM, 2015, ECOL SOC, V20, DOI 10.5751/ES-07018-200130
   Thorne KarenM., 2016, USGS OPEN-FILE REP, P1, DOI DOI 10.3133/ofr20161125
   Tompkins E. L., 2004, Ecology and Society, V9, P10
   Tompkins EL, 2008, J ENVIRON MANAGE, V88, P1580, DOI 10.1016/j.jenvman.2007.07.025
   Torio DD, 2013, J COASTAL RES, V29, P1049, DOI 10.2112/JCOASTRES-D-12-00162.1
   Tourism D., 2011, NATL CLIMATE CHANGE
   Tribbia J, 2008, ENVIRON SCI POLICY, V11, P315, DOI 10.1016/j.envsci.2008.01.003
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   Walker B., 2004, Ecology and Society, V9, P5
   Yuen E, 2013, MITIG ADAPT STRAT GL, V18, P567, DOI 10.1007/s11027-012-9376-4
NR 40
TC 18
Z9 19
U1 2
U2 24
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0964-5691
EI 1873-524X
J9 OCEAN COAST MANAGE
JI Ocean Coastal Manage.
PD JUL 1
PY 2017
VL 143
SI SI
BP 38
EP 50
DI 10.1016/j.ocecoaman.2017.02.010
PG 13
WC Oceanography; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Oceanography; Water Resources
GA EY1PG
UT WOS:000403737200005
OA Bronze
DA 2025-01-10
ER

PT J
AU Gittman, RK
   Popowich, AM
   Bruno, JF
   Peterson, CH
AF Gittman, Rachel K.
   Popowich, Alyssa M.
   Bruno, John F.
   Peterson, Charles H.
TI Marshes with and without sills protect estuarine shorelines from erosion
   better than bulkheads during a Category 1 hurricane
SO OCEAN & COASTAL MANAGEMENT
LA English
DT Article
DE Coastal management; Marsh; Erosion; Estuarine shoreline protection;
   Storm
AB Acting on the perception that they perform better for longer, most property owners in the United States choose hard engineered structures, such as bulkheads or riprap revetments, to protect estuarine shorelines from erosion. Less intrusive alternatives, specifically marsh plantings with and without sills, have the potential to better sustain marsh habitat and support its ecosystem services, yet their shoreline protection capabilities during storms have not been evaluated. In this study, the performances of alternative shoreline protection approaches during Hurricane Irene (Category 1 storm) were compared by 1) classifying resultant damage to shorelines with different types of shoreline protection in three NC coastal regions after Irene; and 2) quantifying shoreline erosion at marshes with and without sills in one NC region by using repeated measurements of marsh surface elevation and marsh vegetation stem density before and after Irene. In the central Outer Banks, NC, where the strongest sustained winds blew across the longest fetch; Irene damaged 76% of bulkheads surveyed, while no damage to other shoreline protection options was detected. Across marsh sites within 25 km of its landfall, Hurricane Irene had no effect on marsh surface elevations behind sills or along marsh shorelines without sills. Although Irene temporarily reduced marsh vegetation density at sites with and without sills, vegetation recovered to pre-hurricane levels within a year. Storm responses suggest that marshes with and without sills are more durable and may protect shorelines from erosion better than the bulkheads in a Category 1 storm. This study is the first to provide data on the shoreline protection capabilities of marshes with and without sills relative to bulkheads during a substantial storm event, and to articulate a research framework to assist in the development of comprehensive policies for climate change adaptation and sustainable management of estuarine shorelines and resources in U.S. and globally. Published by Elsevier Ltd.
C1 [Gittman, Rachel K.; Popowich, Alyssa M.; Peterson, Charles H.] Univ North Carolina Chapel Hill, Inst Marine Sci, Morehead City, NC 28557 USA.
   [Bruno, John F.; Peterson, Charles H.] Univ N Carolina, Dept Biol, Chapel Hill, NC 27599 USA.
C3 University of North Carolina; University of North Carolina Chapel Hill;
   University of North Carolina; University of North Carolina Chapel Hill
RP Gittman, RK (corresponding author), Univ North Carolina Chapel Hill, Inst Marine Sci, Morehead City, NC 28557 USA.
EM gittman@email.unc.edu
RI Gittman, Rachel/I-2228-2017
OI Gittman, Rachel/0000-0001-8376-8960
FU NC Coastal Recreational Fishing License Grant; NOM NERRS graduate
   fellowship; University of North Carolina at Chapel Hill
FX We thank D. Acree, J. Shallcross, S. Bailey, J. Best, L. Lindgren, and
   the Pine Knoll Shores Aquarium for allowing us to survey their coastal
   properties. We also thank: J. Fodrie and M. Piehler, UNC-CH IMS, J.
   Fear, NC Seagrant, C. Currin, NOM, T. Miller, NC Coastal Federation, and
   L. Weaver, NCCF, for their guidance and reviews; and D. Keller, J.
   Morton, J. Lee, M. Prafka, J. Lyons, and C. Baillie for assistance with
   field surveys. This research was funded by a NC Coastal Recreational
   Fishing License Grant, a NOM NERRS graduate fellowship, and the
   University of North Carolina at Chapel Hill.
CR [Anonymous], 2004, Lost cost shore protection, P1
   [Anonymous], 2007, MIT SHOR ER SHELT CO
   Avila L.A., 2011, Hurricane Irene Tropical Cyclone Report, P1
   Barbier EB, 2008, SCIENCE, V319, P321, DOI 10.1126/science.1150349
   Bilkovic DM, 2008, MAR ECOL PROG SER, V358, P27, DOI 10.3354/meps07279
   Bozek Catherine M., 2005, Wetlands Ecology and Management, V13, P553, DOI 10.1007/s11273-004-5543-z
   Church JA, 2008, SUSTAIN SCI, V3, P9, DOI 10.1007/s11625-008-0042-4
   Currin Carolyn A., 2008, Wetlands Ecology and Management, V16, P97, DOI 10.1007/s11273-007-9059-1
   Fear J., 2011, N.C. Division of Coastal Management Assessment of 27 Marsh Sills in North Carolina
   Fear JM., 2012, Sustainable estuarine shoreline stabilization: research education and public policy in North Carolina
   FitzGerald D.M., 1994, J COASTAL RES, P113
   Gittman RK, ECOL APPL IN PRESS
   Grinsted A, 2013, P NATL ACAD SCI USA, V110, P5369, DOI 10.1073/pnas.1209980110
   Hardaway C. S., 2002, Wetlands Ecology and Management, V10, P289, DOI 10.1023/A:1020313020526
   Meyer DL, 1997, RESTOR ECOL, V5, P93, DOI 10.1046/j.1526-100X.1997.09710.x
   National Oceanographic and Atmospheric Administration, 2011, OR INT STAT
   Neckles HA, 2002, RESTOR ECOL, V10, P556, DOI 10.1046/j.1526-100X.2002.02033.x
   Nicholls RJ, 2010, SCIENCE, V328, P1517, DOI 10.1126/science.1185782
   North Carolina Division of Coastal Management, 2012, EST SHOR MAPP PROJ
   North Carolina Division of Coastal Management, 2011, WEIGHT YOUR OPT
   North Carolina One Map, 2013, ORTH N CAR
   Peterson C., 2008, Adaptation options for climate-sensitive ecosystems and resources
   Peterson CH, 2008, ADV MAR BIOL, V54, P221, DOI 10.1016/S0065-2881(08)00004-7
   Poulter B, 2009, OCEAN COAST MANAGE, V52, P147, DOI 10.1016/j.ocecoaman.2008.09.010
   Rahmstorf S., 2010, Nat Reps Clim Change, V4, P44, DOI DOI 10.1029/2010GL042947
   Scyphers S.B., 2014, Conservation Letters, P1
   Scyphers SB, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0022396
   Seitz RD, 2006, MAR ECOL PROG SER, V326, P11, DOI 10.3354/meps326011
   Shepard CC, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0027374
   Smith KA, 2009, ESTUAR COAST, V32, P748, DOI 10.1007/s12237-009-9170-z
   State Climate Office of North Carolina, 2014, HURR STAT
   Thieler R.E., 1991, Journal of Coastal Research, VSI8, P187, DOI DOI 10.2307/25735415
   Titus J., 1998, Maryland Land Review, V27, P1279
   Titus JG, 2009, ENVIRON RES LETT, V4, DOI 10.1088/1748-9326/4/4/044008
   Titus J.G., 1988, GREENHOUSE EFFECT SE
NR 35
TC 130
Z9 159
U1 2
U2 63
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0964-5691
EI 1873-524X
J9 OCEAN COAST MANAGE
JI Ocean Coastal Manage.
PD DEC
PY 2014
VL 102
BP 94
EP 102
DI 10.1016/j.ocecoaman.2014.09.016
PN A
PG 9
WC Oceanography; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Oceanography; Water Resources
GA AY4XZ
UT WOS:000347579600013
DA 2025-01-10
ER

PT J
AU Storch, S
   Winkel, G
AF Storch, Sabine
   Winkel, Georg
TI Coupling climate change and forest policy: A multiple streams analysis
   of two German case studies
SO FOREST POLICY AND ECONOMICS
LA English
DT Article
DE Multiple Streams Framework; Climate policy; Forest policy; Adaptation;
   Germany; Policy integration
ID CHANGE IMPACTS; ADAPTATION; MANAGEMENT; STRATEGIES
AB Climate change may affect forest management not only through predicted ecological impacts on forests, but also by reframing perspectives on land use issues, and thus changing forest policies. In this paper, forest policy making in the light of climate change is analyzed in two German Laender, Bavaria and North Rhine Westphalia, drawing on the Multiple Streams Framework. Empirically, document analysis and expert interviews substantiate this analysis.
   The formation of climate change related forest policy occurred differently in both Laender. In Bavaria, several factors triggered a successful integration of climate change adaptation measures related to forests into one program, the "Bavarian Climate Programme 2020". These factors were, for instance, an early problematization of climate change by forest science, a 'condensation' of the problem into particular areas of high need for action, the possibility to rely on already available (in parts, implemented), well-proven, and applicable forest policy measures, and the coordinated and entrepreneurial activities of the forest sector as a whole. In North Rhine Westphalia, the political framework conditions for a formation of climate change related forest policy were less favorable, and, hence, no broader forest policy on the issue occurred. Recent political changes, however, may allow for new prospects.
   We conclude that the extent to which the issue of climate change is integrated into forest policy depends on the overall framing of climate policy and the opportunities for the forest sector to substantiate the necessity of such a link. The preparedness and activities of the latter are then needed in order to utilize possible policy windows and to receive resources for forest climate policy measures. Forest science plays an important role by influencing the agenda, indicating challenges and providing scientific criteria to determine and rationalize specific measures. (C) 2013 Elsevier B.V. All rights reserved.
C1 [Storch, Sabine; Winkel, Georg] Univ Freiburg, Inst Forest & Environm Policy, D-79106 Freiburg, Germany.
C3 University of Freiburg
RP Storch, S (corresponding author), Univ Freiburg, Inst Forest & Environm Policy, Tennenbacher Str 4, D-79106 Freiburg, Germany.
EM sabine.storch@ifp.uni-freiburg.de; georg.winkel@ifp.uni-freiburg.de
RI Winkel, Georg/GVU-4080-2022
FU German Federal Ministry for the Environment, Nature Conservation and
   Nuclear Safety (BMU) [3508 83 0600]
FX We are grateful to the German Federal Ministry for the Environment,
   Nature Conservation and Nuclear Safety (BMU) for supporting our research
   on forest biodiversity and climate change policy through its Federal
   Agency for Nature Conservation (BfN), in particular within the research
   project: 'Forests and Climate Change' (reference number 3508 83 0600).
   We also want to thank all interview partners for rendering this research
   possible.
CR Ackrill R, 2011, J EUR PUBLIC POLICY, V18, P72, DOI 10.1080/13501763.2011.520879
   Allen CD, 2010, FOREST ECOL MANAG, V259, P660, DOI 10.1016/j.foreco.2009.09.001
   [Anonymous], 2004, LWF AKTUELL
   [Anonymous], 1995, Studying Public Policy: Policy cycles and policy subsystems
   [Anonymous], AFZ DER WALD
   [Anonymous], 2009, LWF AKTUELL
   [Anonymous], THESIS
   [Anonymous], AFZ WALD
   [Anonymous], 2006, REGIEREN NORDRHEIN W
   Asche N., 2005, WERTERMITTLUNGSFORUM, V23, P129
   BayStMELF, 2008, WALDZUSTANDSBERICHT
   BayStMELF, 2011, WALDBERICHT 2011
   BayStMLF, 2002, WALDZ 2002
   BDF-aktuell, 2007, FORSTR NRW BESCHL SA
   BMU, 2007, KAB BESCHL KLIM EN
   BMU, 2008, KLIM ALP
   BN, 2007, KLIM HER
   BN (Bund Naturschutz in Bayern e.V.), 2006, WALD KLIM NAT
   Bolte A, 2010, LANDBAUFORSCHUNG-GER, V60, P111
   Bolte A, 2009, LANDBAUFORSCH VOLK, V59, P269
   Boscarino JE, 2009, POLICY STUD J, V37, P415, DOI 10.1111/j.1541-0072.2009.00321.x
   Brunner S, 2008, GLOBAL ENVIRON CHANG, V18, P501, DOI 10.1016/j.gloenvcha.2008.05.003
   BUND, 2008, EN KLIM LAND
   Bundesregierung, 2008, DTSCH ANP KLIM BUND
   Capano G, 2009, J COMP POLICY ANAL, V11, P7, DOI 10.1080/13876980802648284
   COHEN MD, 1972, ADMIN SCI QUART, V17, P1, DOI 10.2307/2392088
   Doelle M, 2012, PUBLIC ADMIN, V90, P37, DOI 10.1111/j.1467-9299.2011.02006.x
   Eisenhauer D. R., 2009, WALDOKOLOGIE LANDSCH, V8, P71
   Fischbach-Einhoff J., 2005, FREIBURGER SCHRIFTER, V9
   Flyvbjerg B, 2006, QUAL INQ, V12, P219, DOI 10.1177/1077800405284363
   Forstverein, 2010, WELCH WALD BRAUCHT
   Freeman G.P., 1985, Journal of Public Policy, V5, P467, DOI DOI 10.1017/S0143814X00003287
   Garrelts H, 2005, VALUATION AND CONSERVATION OF BIODIVERSITY: INTERDISCIPLINARY PERSPECTIVES ON THE CONVENTION ON BIOLOGICAL DIVERSITY, P65, DOI 10.1007/3-540-27138-4_4
   Hajduk T., 2010, STRATEGIE FOLGT I NA
   Hemery GE, 2008, INT FOREST REV, V10, P591, DOI 10.1505/ifor.10.4.591
   Henstra D, 2010, CAN PUBLIC ADMIN, V53, P241, DOI 10.1111/j.1754-7121.2010.00128.x
   HOF ANDRIES, 2010, GLOBAL CLIMATE GOVER
   Hollerl S., 2004, LWF AKTUELL, V43, P21
   Hoogstra MA, 2008, FOREST SCI, V54, P316
   John P., 2005, ANAL PUBLIC POLICY
   Jones MD, 2009, POLICY STUD J, V37, P37, DOI 10.1111/j.1541-0072.2008.00294.x
   Jordan A, 2010, ENVIRON POLICY GOV, V20, P147, DOI 10.1002/eet.539
   Kamieniecki S, 2000, POLICY STUD J, V28, P176, DOI 10.1111/j.1541-0072.2000.tb02022.x
   Kanowski PJ, 2011, ENVIRON SCI POLICY, V14, P111, DOI 10.1016/j.envsci.2010.11.007
   Kingdon J.W., 1995, AGENDAS
   Klima-Allianz Die, 2010, JURGEN RUTTGERS BEKO
   Kolling C., 2007, LWF AKTUELL, V60, P5
   Kolling C., 2007, AFZ-DerWald, V23, P1242
   Krott M., 2001, POLITIKFELDANANLYSE
   Lamnek Siegfried., 2005, Qualitative Sozialforschung: Lehrbuch
   Landesregierung NRW, 2007, REGIERUNGSERKLARUNG
   Landesregierung NRW, 2010, PRESSEINFORMATION
   Landesregierung NRW, 2011, KLIMASCHUTZSTARTPROG
   Landesregierung NRW, 2010, ABSCHLUSSBERICHT LAN
   Landtag NRW, 2005, DRUCKSACHE, V14
   Landtag NRW, 2011, GESETZENTWURF LANDES
   Landtag NRW, 2009, KAHLSCHLAG LANDESENT
   Landtag NRW, 2007, DRUCKSACHE 14 3580
   Landtag NRW, 2008, LANDWIRTSCHAFT VERBR
   Lange H., 2007, Journal of Environmental Policy and Planning, V9, P263, DOI 10.1080/15239080701622758
   Lieckfeld C.-P., 2006, FRANKFURT AM MAIN
   Lindner M, 2010, FOREST ECOL MANAG, V259, P698, DOI 10.1016/j.foreco.2009.09.023
   Litfin KarenT., 1994, OZONE DISCOURSES SCI
   LOBF, 2005, WALDZ 2004
   Milad M, 2011, FOREST ECOL MANAG, V261, P829, DOI 10.1016/j.foreco.2010.10.038
   MKULNV, 2010, JOH REMM MIN KLIM
   MKULNV, 2012, WALD KLIM
   MUNLV, 2009, ANP KLIM
   MUNLV, 2007, LAND NORDR WEST
   MVEI, 2005, STAND 14 03 2005
   MWME, 2008, EN ZUK KLIM
   MWMEV, 2001, KLIM NRW
   NABU, 2007, NABU FORD ZUK WALD
   NABU, 2004, ERSCHR ZUST
   Pechan A., 2009, NORDRHEIN WESTFALEN
   Schoene D.H.F., 2011, FOREST POLICY ECON, DOI DOI 10.1016/IF0RP0L2011.04.007
   Spies TA, 2010, LANDSCAPE ECOL, V25, P1185, DOI 10.1007/s10980-010-9483-0
   Staatskanzlei Bay., 2007, PRESSEMITTEILUNG, V140
   Staatskanzlei Bay., 2007, REGIERUNGSERKLARUNG
   Staatsregierung Bay., 2003, KLIMASCHUTZKONZEPT
   Staatsregierung Bay., 2011, WALDZUSTANDSBERICHT
   Staatsregierung Bay., 2007, WALDZUSTANDSBERICHT
   Stroh K., 2007, KABINETTSITZUNG
   Thompson MC, 2011, ENVIRON SCI POLICY, V14, P100, DOI 10.1016/j.envsci.2010.11.006
   tKolling C., 2011, AFZ DERWALD, V13, P14
   Wagner K., 2007, MACHT WISSENSCHAFT, P146
   Wald LB, 2007, EMPFEHLUNGEN WIEDE
   Weiss G., 1999, SCHUTZWALDPOLITIK, V39
   Winkel G, 2011, CRIT POLICY STUD, V5, P361, DOI 10.1080/19460171.2011.628002
   Witzel Andreas., 1985, Qualitative Forschung in der Psychologie. Grundfragen, Verfahrensweisen, P227
   Zahariadis N., 2003, Political Decision Making in Modern Democracies
   Zahariadis N., 1995, POLICY STUDIES REV, V14, P71, DOI DOI 10.1111/J.1541-1338.1995.TB00622.X
   Zahariadis Nikolaos., 2007, Theories of the Policy Process, V2nd, P65, DOI [DOI 10.4324/9780367274689-3, 10.4324/9780367274689-3]
NR 93
TC 32
Z9 38
U1 3
U2 58
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 1389-9341
EI 1872-7050
J9 FOREST POLICY ECON
JI Forest Policy Econ.
PD NOV
PY 2013
VL 36
SI SI
BP 14
EP 26
DI 10.1016/j.forpol.2013.01.009
PG 13
WC Economics; Environmental Studies; Forestry
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Business & Economics; Environmental Sciences & Ecology; Forestry
GA 251DX
UT WOS:000326909100003
DA 2025-01-10
ER

PT J
AU Thorne, JH
   Seo, C
   Basabose, A
   Gray, M
   Belfiore, NM
   Hijmans, RJ
AF Thorne, James H.
   Seo, Changwan
   Basabose, Augustine
   Gray, Maryke
   Belfiore, Natalia M.
   Hijmans, Robert J.
TI Alternative biological assumptions strongly influence models of climate
   change effects on mountain gorillas
SO ECOSPHERE
LA English
DT Article
DE Albertine Rift; climate change; conservation; endemic species; Gorilla
   beringii beringei; model contrasting; mountain gorilla; species
   distribution model
ID SPECIES DISTRIBUTION MODELS; IMPENETRABLE NATIONAL-PARK; ENVELOPE
   MODELS; RANGE; BIODIVERSITY; VARIABILITY; ECOLOGY; SHIFTS;
   DISTRIBUTIONS; CONSERVATISM
AB Endangered species conservation planning needs to consider the effects of future climate change. Species distribution models are commonly used to predict future shifts in habitat suitability. We evaluated the effects of climate change on the highly endangered mountain gorilla (Gorilla beringei beringei) using a variety of modeling approaches, and assessing model outputs from the perspective of three spatial habitat management strategies: status quo, expansion and relocation. We show that alternative assumptions about the ecological niche of mountain gorillas can have a very large effect on model predictions. ` Standard' correlative models using 18 climatic predictor variables suggested that by 2090 there would be no suitable habitat left for the mountain gorilla in its existing parks, whereas a `limiting-factor' model, that uses a proxy of primary productivity, suggested that climate suitability would not change much. Species distribution models based on fewer predictor variables, on alternative assumptions about niche conservatism (including or excluding the other subspecies Gorilla beringii graueri), and a model based on gorilla behavior, had intermediate predictions. These alternative models show strong variation, and, in contrast to the standard approach with 18 variables, suggest that mountain gorilla habitat in the parks may remain suitable, that protected areas could be expanded into lower (warmer) areas, and that there might be climactically suitable habitat in other places where new populations could possibly be established. Differences among model predictions point to avenues for model improvement and further research. Similarities among model predictions point to possible areas for climate change adaptation management. For species with narrow distributions, such as the mountain gorilla, modeling the impact of climate change should be based on careful evaluation of their biology, particularly of the factors that currently appear to limit their distribution, and should avoid the naive application of standard correlative methods with many predictor variables.
C1 [Thorne, James H.; Hijmans, Robert J.] Univ Calif Davis, Dept Environm Sci & Policy, Davis, CA 95616 USA.
   [Seo, Changwan] Seoul Natl Univ, Environm Planning Inst, Seoul 151742, South Korea.
   [Basabose, Augustine; Gray, Maryke] Int Gorilla Conservat Programme, Kigali, Rwanda.
   [Belfiore, Natalia M.] EcoAdapt, Bainbridge Isl, WA 98110 USA.
C3 University of California System; University of California Davis; Seoul
   National University (SNU)
RP Thorne, JH (corresponding author), Univ Calif Davis, Dept Environm Sci & Policy, Davis, CA 95616 USA.
EM jhthorne@ucdavis.edu
RI Hijmans, Robert/N-3299-2016
OI Hijmans, Robert/0000-0001-5872-2872; Thorne, James/0000-0002-9130-9921
FU John D. and Catharine T. MacArthur Foundation
FX We thank the Africa Wildlife Foundation, International Gorilla
   Conservation Project, and Ecoadapt for organizing the conference and
   meetings; the John D. and Catharine T. MacArthur Foundation for funding,
   and Ecotours for logistical support. We thank the Institut Congolais
   pour la Conservation de la Nature (ICCN), the Rwanda Development Board
   (RDB) and the Uganda Wildlife Authority (UWA) for collection of the
   ranger patrol and gorilla census data, and two anonymous reviewers for
   helpful suggestions.
CR [Anonymous], J ZOOLOGY
   [Anonymous], 2000, IPCC SPECIAL REPORT
   [Anonymous], IMPLICATIONS GLOBAL
   [Anonymous], IMPLICATIONS GLOBAL
   [Anonymous], 2001, MOUNTAIN GORILLAS 3
   [Anonymous], CENS CONF INCR POP C
   [Anonymous], KINGDOM GORILLAS
   Anthony NM, 2007, P NATL ACAD SCI USA, V104, P20432, DOI 10.1073/pnas.0704816105
   Araújo MB, 2007, TRENDS ECOL EVOL, V22, P42, DOI 10.1016/j.tree.2006.09.010
   Araújo MB, 2012, ECOLOGY, V93, P1527, DOI 10.1890/11-1930.1
   Austin M, 2007, ECOL MODEL, V200, P1, DOI 10.1016/j.ecolmodel.2006.07.005
   Beale CM, 2012, PHILOS T R SOC B, V367, P247, DOI 10.1098/rstb.2011.0178
   Buckley LB, 2010, ECOL LETT, V13, P1041, DOI 10.1111/j.1461-0248.2010.01479.x
   BUSBY J R, 1991, Plant Protection Quarterly, V6, P8
   Camargo A.P.d., 1999, REV BRAS AGROMETEORO, V7, P251
   Davis AJ, 1998, NATURE, V391, P783, DOI 10.1038/35842
   Dobrowski SZ, 2011, ECOL MONOGR, V81, P241, DOI 10.1890/10-1325.1
   Doran DM, 1998, EVOL ANTHROPOL, V6, P120
   Dunbar RIM, 2009, BIOL REV, V84, P413, DOI 10.1111/j.1469-185X.2009.00080.x
   Elgart AA, 2010, AM J PHYS ANTHROPOL, V141, P561, DOI 10.1002/ajpa.21172
   Elith J, 2006, ECOGRAPHY, V29, P129, DOI 10.1111/j.2006.0906-7590.04596.x
   Elith J, 2011, DIVERS DISTRIB, V17, P43, DOI 10.1111/j.1472-4642.2010.00725.x
   Elith J, 2009, ANNU REV ECOL EVOL S, V40, P677, DOI 10.1146/annurev.ecolsys.110308.120159
   Fossey D., 1983, GORILLAS MIST
   Ganas J, 2004, INT J PRIMATOL, V25, P1043, DOI 10.1023/B:IJOP.0000043351.20129.44
   Ganas J, 2009, J TROP ECOL, V25, P123, DOI 10.1017/S0266467408005701
   Garner KJ, 1996, MOL PHYLOGENET EVOL, V6, P39, DOI 10.1006/mpev.1996.0056
   Guisan A, 2005, ECOL LETT, V8, P993, DOI 10.1111/j.1461-0248.2005.00792.x
   Hijmans R.J., 2012, Dismo: Species distribution modeling
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hijmans RJ, 2006, GLOBAL CHANGE BIOL, V12, P2272, DOI 10.1111/j.1365-2486.2006.01256.x
   Hijmans RJ, 2012, ECOLOGY, V93, P679, DOI 10.1890/11-0826.1
   IUCN (International Union for Conservation of Nature), 2011, IUCN RED LIST THREAT
   Jackson ST, 2009, P NATL ACAD SCI USA, V106, P19685, DOI 10.1073/pnas.0901644106
   Jensen-Seaman MI, 2001, MOL ECOL, V10, P2241, DOI 10.1046/j.0962-1083.2001.01365.x
   Kearney MR, 2010, CONSERV LETT, V3, P203, DOI 10.1111/j.1755-263X.2010.00097.x
   La Sorte FA, 2010, P ROY SOC B-BIOL SCI, V277, P3401, DOI 10.1098/rspb.2010.0612
   Lehmann J, 2008, EVOL ECOL RES, V10, P517
   Lehmann J, 2010, J BIOGEOGR, V37, P2217, DOI 10.1111/j.1365-2699.2010.02373.x
   Loarie SR, 2009, NATURE, V462, P1052, DOI 10.1038/nature08649
   Muruthi Philip, 2000, Conservation Biology Series (Cambridge), V3, P207
   Nenzén HK, 2011, ECOL MODEL, V222, P3346, DOI 10.1016/j.ecolmodel.2011.07.011
   Nix HA., 1986, ATLAS ELAPID SNAKES, P415
   Palacios G, 2011, EMERG INFECT DIS, V17, P711, DOI 10.3201/eid1704.100883
   Pearman PB, 2010, ECOGRAPHY, V33, P990, DOI 10.1111/j.1600-0587.2010.06443.x
   Pearson RG, 2003, GLOBAL ECOL BIOGEOGR, V12, P361, DOI 10.1046/j.1466-822X.2003.00042.x
   Pearson RG, 2006, J BIOGEOGR, V33, P1704, DOI 10.1111/j.1365-2699.2006.01460.x
   Peterson AT, 1999, SCIENCE, V285, P1265, DOI 10.1126/science.285.5431.1265
   Phillips SJ, 2006, ECOL MODEL, V190, P231, DOI 10.1016/j.ecolmodel.2005.03.026
   Plumptre Andrew J., 2001, Cambridge Studies in Biological and Evolutionary Anthropology, V27, P361
   R Development Core Team, 2012, R: a language and environment for statistical computing
   Richmond OMW, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0012899
   Robbins MM, 2008, INT J PRIMATOL, V29, P999, DOI 10.1007/s10764-008-9275-4
   Robbins MM, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019788
   Robbins MM., 2011, BWINDI MOUNTAIN GORI
   Rothman JM, 2007, J TROP ECOL, V23, P673, DOI 10.1017/S0266467407004555
   Rothman JM, 2011, BIOL LETTERS, V7, P847, DOI 10.1098/rsbl.2011.0321
   Sarmiento EE, 1996, AM J PRIMATOL, V40, P1, DOI 10.1002/(SICI)1098-2345(1996)40:1<1::AID-AJP1>3.0.CO;2-1
   SCHALLER G.B., 1963, MOUNTAIN GORILLA ECO
   Seo C, 2009, BIOL LETTERS, V5, P39, DOI 10.1098/rsbl.2008.0476
   Siikamäki J, 2012, AMBIO, V41, P78, DOI 10.1007/s13280-011-0243-4
   Sinclair SJ, 2010, ECOL SOC, V15, DOI 10.5751/ES-03089-150108
   Stanford CB, 2001, PRIMATES, V42, P309, DOI 10.1007/BF02629622
   Thomas CD, 2004, NATURE, V427, P145, DOI 10.1038/nature02121
   Thomas CD, 2013, ECOL LETT, V16, P39, DOI 10.1111/ele.12054
   Thuiller W, 2003, GLOBAL CHANGE BIOL, V9, P1353, DOI 10.1046/j.1365-2486.2003.00666.x
   Thuiller W, 2004, GLOBAL CHANGE BIOL, V10, P2020, DOI 10.1111/j.1365-2486.2004.00859.x
   VEDDER AL, 1984, AM J PRIMATOL, V7, P73, DOI 10.1002/ajp.1350070202
   Warren DL, 2011, ECOL APPL, V21, P335, DOI 10.1890/10-1171.1
   WATTS DP, 1984, AM J PRIMATOL, V7, P323, DOI 10.1002/ajp.1350070403
   Wenger SJ, 2012, METHODS ECOL EVOL, V3, P260, DOI 10.1111/j.2041-210X.2011.00170.x
   Wiens JJ, 2010, ECOL LETT, V13, P1310, DOI 10.1111/j.1461-0248.2010.01515.x
   Williams SE, 2003, P ROY SOC B-BIOL SCI, V270, P1887, DOI 10.1098/rspb.2003.2464
   Zimmermann NE, 2010, ECOGRAPHY, V33, P985, DOI 10.1111/j.1600-0587.2010.06953.x
NR 74
TC 25
Z9 31
U1 6
U2 110
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 2150-8925
J9 ECOSPHERE
JI Ecosphere
PD SEP
PY 2013
VL 4
IS 9
AR 108
DI 10.1890/ES13-00123.1
PG 17
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 257JN
UT WOS:000327379700003
DA 2025-01-10
ER

PT J
AU Jesdale, BM
   Morello-Frosch, R
   Cushing, L
AF Jesdale, Bill M.
   Morello-Frosch, Rachel
   Cushing, Lara
TI The Racial/Ethnic Distribution of Heat Risk-Related Land Cover in
   Relation to Residential Segregation
SO ENVIRONMENTAL HEALTH PERSPECTIVES
LA English
DT Article
DE heat risk; impervious surface; racial segregation; tree cover; urban
ID ENVIRONMENTAL-HEALTH; IMPERVIOUS SURFACE; POLITICAL-ECONOMY;
   UNITED-STATES; CLIMATE-CHANGE; GREEN SPACE; URBAN; MORTALITY;
   VEGETATION; CITY
AB OBJECTIVE: We examined the distribution of heat risk-related land cover (HRRLC) characteristics across racial/ethnic groups and degrees of residential segregation.
   METHODS: Block group-level tree canopy and impervious surface estimates were derived from the 2001 National Land Cover Dataset for densely populated urban areas of the United States and Puerto Rico, and linked to demographic characteristics from the 2000 Census. Racial/ethnic groups in a given block group were considered to live in HRRLC if at least half their population experienced the absence of tree canopy and at least half of the ground was covered by impervious surface (roofs, driveways, sidewalks, roads). Residential segregation was characterized for metropolitan areas in the United States and Puerto Rico using the multigroup dissimilarity index.
   RESULTS: After adjustment for ecoregion and precipitation, holding segregation level constant, non-Hispanic blacks were 52% more likely (95% CI: 37%, 69%), non-Hispanic Asians 32% more likely (95% CI: 18%, 47%), and Hispanics 21% more likely (95% CI: 8%, 35%) to live in HRRLC conditions compared with non-Hispanic whites. Within each racial/ethnic group, HRRLC conditions increased with increasing degrees of metropolitan area-level segregation. Further adjustment for home ownership and poverty did not substantially alter these results, but adjustment for population density and metropolitan area population attenuated the segregation effects, suggesting a mediating or confounding role.
   CONCLUSIONS: Land cover was associated with segregation within each racial/ethnic group, which may be explained partly by the concentration of racial/ethnic minorities into densely populated neighborhoods within larger, more segregated cities. In anticipation of greater frequency and duration of extreme heat events, climate change adaptation strategies, such as planting trees in urban areas, should explicitly incorporate an environmental justice framework that addresses racial/ethnic disparities in HRRLC.
C1 [Jesdale, Bill M.; Morello-Frosch, Rachel] Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA.
   [Morello-Frosch, Rachel] Univ Calif Berkeley, Sch Publ Hlth, Berkeley, CA 94720 USA.
   [Cushing, Lara] Univ Calif Berkeley, Energy & Resources Grp, Berkeley, CA 94720 USA.
C3 University of California System; University of California Berkeley;
   University of California System; University of California Berkeley;
   University of California System; University of California Berkeley
RP Jesdale, BM (corresponding author), Univ Calif Berkeley, Dept Environm Sci Policy & Management, 130 Mulford Hall, Berkeley, CA 94720 USA.
EM bill.jesdale@gmail.com
OI Cushing, Lara/0000-0003-0640-6450; Jesdale, William/0000-0002-2697-3279;
   Morello-Frosch, Rachel/0000-0003-1153-7287
FU Hewlett Foundation; California Environmental Protection Agency [07-020]
FX Support for this research was provided by the Hewlett Foundation and the
   California Environmental Protection Agency (no. 07-020).
CR [Anonymous], 2001, 1 US CENS BUR
   [Anonymous], 2000, FED REG, V65, P82228
   [Anonymous], 1997, Ecological Regions of North America: Toward a Common Perspective
   [Anonymous], 2000, Urban Ecosystems
   Asaeda T, 1996, ATMOS ENVIRON, V30, P413, DOI 10.1016/1352-2310(94)00140-5
   Basu R, 2008, AM J EPIDEMIOL, V168, P632, DOI 10.1093/aje/kwn170
   Berry Brian., 1977, CONT URBAN ECOLOGY
   Boone Christopher G., 2010, Urban Ecosystems, V13, P255, DOI 10.1007/s11252-009-0118-7
   Borden KA, 2008, INT J HEALTH GEOGR, V7, DOI 10.1186/1476-072X-7-64
   Collins CA, 1999, SOCIOL FORUM, V14, P495, DOI 10.1023/A:1021403820451
   Dadvand P, 2012, ENVIRON HEALTH PERSP, V120, P1481, DOI 10.1289/ehp.1205244
   Deddens JA, 2008, OCCUP ENVIRON MED, V65, P501, DOI 10.1136/oem.2007.034777
   ELLIS FP, 1975, ENVIRON RES, V10, P1, DOI 10.1016/0013-9351(75)90069-9
   English P., 2007, Public Health Impacts of Climate Change in California: Community Vulnerability Assessments and Adaptation Strategies: Heat-Related Illness and Mortality: Information for the Public Health Network in California
   Fry JA, 2011, PHOTOGRAMM ENG REM S, V77, P859
   Gee GC, 2004, ENVIRON HEALTH PERSP, V112, P1645, DOI 10.1289/ehp.7074
   Ghent AC, 2011, RACE REDLINING SUBPR
   GIVONI B, 1991, ATMOS ENVIRON B-URB, V25, P289, DOI 10.1016/0957-1272(91)90001-U
   GREENBERG JH, 1983, AM J PUBLIC HEALTH, V73, P805, DOI 10.2105/AJPH.73.7.805
   Harlan SL, 2006, SOC SCI MED, V63, P2847, DOI 10.1016/j.socscimed.2006.07.030
   Hart M, 2009, THEOR APPL CLIMATOL, V95, P397, DOI 10.1007/s00704-008-0017-5
   Haselbach L, 2011, TRANSPORT RES REC, P107, DOI 10.3141/2240-14
   Heynen N, 2006, ENVIRON PLANN A, V38, P499, DOI 10.1068/a37365
   Heynen N., 2003, PUBLIC WORKS MANAGEM, V8, P33, DOI DOI 10.1177/1087724X03008001004
   Heynen N, 2006, URBAN AFF REV, V42, P3, DOI 10.1177/1078087406290729
   Hillier AE, 2003, J URBAN HIST, V29, P394, DOI 10.1177/0096144203029004002
   Homer C, 2004, PHOTOGRAMM ENG REM S, V70, P829, DOI 10.14358/PERS.70.7.829
   Huang GL, 2011, J ENVIRON MANAGE, V92, P1753, DOI 10.1016/j.jenvman.2011.02.006
   Hwang HJ, 2011, ATMOS ENVIRON, V45, P6987, DOI 10.1016/j.atmosenv.2011.09.019
   Iceland J., 2002, US CENSUS BUREAU SER, V3
   Jackson JE, 2010, CLIMATIC CHANGE, V102, P159, DOI 10.1007/s10584-010-9852-3
   JONES TS, 1982, JAMA-J AM MED ASSOC, V247, P3327, DOI 10.1001/jama.247.24.3327
   Kaiser Reinhard, 2007, Am J Public Health, V97 Suppl 1, pS158, DOI 10.2105/AJPH.2006.100081
   Keim RF, 2006, ADV WATER RESOUR, V29, P974, DOI 10.1016/j.advwatres.2005.07.017
   Klinenberg E., 2002, HEAT WAVE, P79
   Knowlton K, 2009, ENVIRON HEALTH PERSP, V117, P61, DOI 10.1289/ehp.11594
   Landry SM, 2009, ENVIRON PLANN A, V41, P2651, DOI 10.1068/a41236
   Lau NC, 2012, J CLIMATE, V25, P4761, DOI 10.1175/JCLI-D-11-00575.1
   Lee ACK, 2011, J PUBLIC HEALTH-UK, V33, P212, DOI 10.1093/pubmed/fdq068
   Li G, 2007, INT J REMOTE SENS, V28, P249, DOI 10.1080/01431160600735624
   LICHTER DT, 1985, DEMOGRAPHY, V22, P603, DOI 10.2307/2061590
   Lowry JH, 2012, URBAN ECOSYST, V15, P247, DOI 10.1007/s11252-011-0185-4
   Lu DS, 2006, INT J REMOTE SENS, V27, P3553, DOI 10.1080/01431160600617202
   Martin CA, 2004, LANDSCAPE URBAN PLAN, V69, P355, DOI 10.1016/j.landurbplan.2003.10.034
   MASSEY DS, 1989, DEMOGRAPHY, V26, P373, DOI 10.2307/2061599
   Meehl GA, 2004, SCIENCE, V305, P994, DOI 10.1126/science.1098704
   Mitchell R, 2011, J EPIDEMIOL COMMUN H, V65, P853, DOI 10.1136/jech.2010.119172
   Morello-Frosch R, 2006, ENVIRON HEALTH PERSP, V114, P386, DOI 10.1289/ehp.8500
   Morello-Frosch RA, 2002, ENVIRON PLANN C, V20, P477, DOI 10.1068/c03r
   Morello-Frosch R, 2006, ENVIRON RES, V102, P181, DOI 10.1016/j.envres.2006.05.007
   Morton Thomas Alan, 2009, Geocarto International, V24, P143, DOI 10.1080/10106040802460715
   Nowak DJ, 2010, ENVIRON MANAGE, V46, P378, DOI 10.1007/s00267-010-9536-9
   Nowak DJ., 1994, CHICAGOS URBAN FORES, P63
   O'Neill MS, 2005, J URBAN HEALTH, V82, P191, DOI 10.1093/jurban/jti043
   Ogneva-Himmelberger Y, 2009, APPL GEOGR, V29, P478, DOI 10.1016/j.apgeog.2009.03.001
   OKE TR, 1982, Q J ROY METEOR SOC, V108, P1, DOI 10.1002/qj.49710845502
   OKE TR, 1989, PHILOS T ROY SOC B, V324, P335, DOI 10.1098/rstb.1989.0051
   [Parry ML. IPCC IPCC], 2007, Climate change 2007: Impacts, adaptation and vulnerability, P7, DOI DOI 10.2134/JEQ2008.0015BR
   Perkins HA, 2004, CITIES, V21, P291, DOI 10.1016/j.cities.2004.04.002
   Pozzi F, 2001, IEEE ISPRS JOINT WOR
   RAMLOW JM, 1990, PUBLIC HEALTH REP, V105, P283
   Rizwan AM, 2008, J ENVIRON SCI, V20, P120, DOI 10.1016/S1001-0742(08)60019-4
   SAKODA JM, 1981, DEMOGRAPHY, V18, P245, DOI 10.2307/2061096
   Samara T, 2011, NOISE CONTROL ENG J, V59, P68, DOI 10.3397/1.3528970
   Schwartz J, 2005, EPIDEMIOLOGY, V16, P67, DOI 10.1097/01.ede.0000147114.25957.71
   Scott Klaus I., 1999, Journal of Arboriculture, V25, P129
   Shonkoff SB, 2011, CLIMATIC CHANGE, V109, P485, DOI 10.1007/s10584-011-0310-7
   Stathopoulou M, 2009, INT J SUSTAIN ENERGY, V28, P59, DOI 10.1080/14786450802452753
   Troy AR, 2007, ENVIRON MANAGE, V40, P394, DOI 10.1007/s00267-006-0112-2
   U.S. Census Bureau, 2004, METR MICR STAT AR CO
   U. S. CensusBureau, 2010, 2010 TIGER LIN SHAP
   U.S. Environmental Protection Agency, 2011, RED URB HEAT ISL COM
   Uejio CK, 2011, HEALTH PLACE, V17, P498, DOI 10.1016/j.healthplace.2010.12.005
   US Census Bureau, 2002, 3 US CENS BUR
   USDA (U.S. Department of Agriculture), 2011, NAT RES CONS SERV GE
   Weisskopf MG, 2002, AM J PUBLIC HEALTH, V92, P830, DOI 10.2105/AJPH.92.5.830
   Weng QH, 2008, INT J APPL EARTH OBS, V10, P68, DOI 10.1016/j.jag.2007.05.002
   Whitman S, 1997, AM J PUBLIC HEALTH, V87, P1515, DOI 10.2105/AJPH.87.9.1515
   Yuan F, 2007, REMOTE SENS ENVIRON, V106, P375, DOI 10.1016/j.rse.2006.09.003
   Zhang K, 2011, ENVIRON RES, V111, P1046, DOI 10.1016/j.envres.2011.08.012
   Zhang Y, 2008, J ENVIRON MANAGE, V88, P1314, DOI 10.1016/j.jenvman.2007.07.008
   Zhang Y, 2007, ENVIRON BEHAV, V39, P797, DOI 10.1177/0013916506292326
NR 82
TC 172
Z9 202
U1 1
U2 79
PU US DEPT HEALTH HUMAN SCIENCES PUBLIC HEALTH SCIENCE
PI RES TRIANGLE PK
PA NATL INST HEALTH, NATL INST ENVIRONMENTAL HEALTH SCIENCES, PO BOX 12233,
   RES TRIANGLE PK, NC 27709-2233 USA
SN 0091-6765
EI 1552-9924
J9 ENVIRON HEALTH PERSP
JI Environ. Health Perspect.
PD JUL
PY 2013
VL 121
IS 7
BP 811
EP 817
DI 10.1289/ehp.1205919
PG 7
WC Environmental Sciences; Public, Environmental & Occupational Health;
   Toxicology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health; Toxicology
GA 208VY
UT WOS:000323711000020
PM 23694846
OA Green Published, Green Submitted
DA 2025-01-10
ER

PT J
AU Camuti, L
AF Camuti, Liz
TI Another Gulf Is Possible: Desired Futures Beyond Petrocolonialism
SO JOURNAL OF ARCHITECTURAL EDUCATION
LA English
DT Article
DE Gulf of Mexico; climate adaptation; decarbonization; energy transition;
   pedagogy
AB This interdisciplinary design studio engages the tensions between climate mitigation and climate adaptation efforts along the United States Gulf Coast, a region widely recognized as the domestic backbone of the oil and gas industry. Rooted in entangled narratives and tensions between economic prosperity, ecological stewardship, the systemic disenfranchisement of Indigenous and racialized communities, and industrial-scale energy production, this studio asked students to explore nuanced, nonconventional scenarios for adapting to ecosystem change, with projective considerations for new power relationships and collective ways of living on vanishing land. The pedagogical approach emphasized multiscalar systems analysis and collective world-building grounded in environmental justice organizing, to encourage students to think beyond technocratic design solutions for a changing climate.
C1 [Camuti, Liz] Tulane Univ, Sch Architecture, New Orleans, LA 70118 USA.
C3 Tulane University
RP Camuti, L (corresponding author), Tulane Univ, Sch Architecture, New Orleans, LA 70118 USA.
FU National Academies Gulf Research Program
FX I would like to express my sincere gratitude to the National Academies
   Gulf Research Program, specifically the staff of the Gulf Futures
   program, for their ongoing support of this interdisciplinary studio
   program, as well as Margarita Jover who has provided invaluable thought
   leadership during her time as the director of this larger research
   project at Tulane. Finally, this work would not be possible without the
   two cohorts of students who took this studio in Fall 2022 and Fall 2023.
   Thank you for navigating unfamiliar territory and asking tough questions
   with bravery and sensitivity.
CR 17Hajer, shifting from a tradition of "expected futures" to an approach focusing on "desirable futures" and ways to get there. We argue the sustainability transitions scholarship tends to see constructions of the future (visions, scenarios, predictions etc
   American Petroleum Institute, 2023, Impacts of the Oil and Natural Gas Industry on the US Economy in 2021
   [Anonymous], 2021, Environmental Racism in Death Alley, Louisiana: Phase I Investigative Report
   [Anonymous], Gulf of Mexico Fact Sheet
   [Anonymous], 2022, Commentary: Coastal Fiscal Cliff
   [Anonymous], 2014, IPCC 5 ASSESSMENT SY, P167
   Armstrong Helen, 2000, Architectural Theory Review, V5, P1
   Beckfield Jason, The Roosevelt Project
   Beckfield Jason, 2022, Roosevelt Project Working Paper Series
   Boesch Donald F., 2020, Envisioning the Future of the Louisiana Gulf Coast
   Bureau of Ocean Energy Management (BOEM), Gulf Renewable Energy Questions and Answers: BOEM's Path Forward in the Gulf of Mexico
   Coastal Protection and Restoration Authority, Deepwater Horizon 10 Year Anniversary
   CRONON W, 1992, J AM HIST, V78, P1347, DOI 10.2307/2079346
   Deng LY, 2023, J HAZARD MATER, V451, DOI 10.1016/j.jhazmat.2023.131199
   Domingue 21Simone, 2021, Constructing the Bigger Picture: How Power and Hegemony Shape Climate Adaptation Injustices in Coastal Louisiana
   Environment Programme (UNEP), 2023, Adaptation Gap Report 2023
   Gotham KevinFox., 2016, Environmental Sociology, V2, P208, DOI DOI 10.1080/23251042.2016.1177363
   Hajer MA, 2018, ENERGY RES SOC SCI, V44, P222, DOI 10.1016/j.erss.2018.01.013
   Holmes R., 2024, Places
   Jasanoff S., 2015, Dreamscapes of Modernity: Sociotechnical Imaginaries and the Fabrication of Power, P1, DOI [10.7208/chicago/9780226276663.001.0001, DOI 10.7208/CHICAGO/9780226276663.001.0001]
   Maizland 4Lindsay, 2022, Council on Foreign Relations
   NOAA National Centers for Environmental Information, Gulf of Mexico Data Atlas
   Parry I, 2021, STILL NOT GETTING EN
   Raven PG, 2021, GLOB DISCOURSE, V11, P221, DOI 10.1332/204378920X16052078001915
   Rich Nathaniel, 2021, Second Nature: Scenes from a World Remade
   Zhang Zihao, 2022, Landscape Architecture Frontiers, V10, P2
NR 26
TC 0
Z9 0
U1 0
U2 0
PU TAYLOR & FRANCIS INC
PI PHILADELPHIA
PA 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA
SN 1046-4883
EI 1531-314X
J9 J ARCHIT EDUC
JI J. Archit. Educ.
PD JUL 2
PY 2024
VL 78
IS 2
SI SI
BP 456
EP 477
DI 10.1080/10464883.2024.2381432
PG 22
WC Architecture
WE Arts &amp; Humanities Citation Index (A&amp;HCI)
SC Architecture
GA L0Y9Y
UT WOS:001348078700003
DA 2025-01-10
ER

PT J
AU Marcus, H
   Hodgins, S
   Muga, R
AF Marcus, Hannah
   Hodgins, Stephen
   Muga, Raphine
TI Climate adaptation and WASH behavior change in the Lake Victoria Basin
SO JOURNAL OF WATER SANITATION AND HYGIENE FOR DEVELOPMENT
LA English
DT Article
DE climate adaptation; climate change; drought; flooding; Lake Victoria
   Basin; WASH
ID ECOSYSTEM-BASED ADAPTATION; INDIGENOUS KNOWLEDGE; RAINFALL; STRATEGIES;
   FLOODS; RISK
AB As climate change disrupts the global hydrological cycle, bringing extremes of flooding and drought, many communities will experience changes in water and sanitation quality and access, requiring adaptive behavior changes. This study set out to map the adaptation patterns - namely, the strategies employed to cope with water, sanitation, and hygiene (WASH)-related impacts of climate change - within the Mabinju community, located along the banks of Lake Victoria in Western Kenya. Qualitative methods were employed, involving 17 semi-structured individual interviews and seven focus groups with village members. Insights derived from direct conversations with village members were deepened through qualitative interviews with an additional 13 WASH sector stakeholders working in the wider Lake Victoria Basin region. Through this study, various WASH-specific community adaptation measures were identified, with both positive and negative impacts on long-term local climate resilience. While many positive coping strategies were found to be spurred by the creative faculties of local residents, capacities for adaptation were found to be restrained by broader forces of poverty and resource access, resulting in the adoption of certain maladaptive coping mechanisms. These findings highlight the need for climate adaptation interventions in the WASH sector to simultaneously build on existing resilience-enhancing measures while addressing the root causes of maladaptation.
C1 [Marcus, Hannah] World Federat Publ Hlth Assoc, 222 Winding Lane, Thornhill, ON L4J 5J6, Canada.
   [Hodgins, Stephen] Univ Alberta, Sch Publ Hlth, Edmonton, AB, Canada.
   [Muga, Raphine] Kar Geno Ctr Hope, Kisumu, Kenya.
C3 University of Alberta
RP Marcus, H (corresponding author), World Federat Publ Hlth Assoc, 222 Winding Lane, Thornhill, ON L4J 5J6, Canada.
EM hannahmarcus6@hotmail.com
CR Adams C. W., 2015, Handbook of practical program evaluation, P492, DOI [10.1002/9781119171386.ch19, DOI 10.1002/9781119171386.CH19, 10.1002/9781119171386.CH19]
   Adhikari B, 2012, CLIM DEV, V4, P54, DOI 10.1080/17565529.2012.664958
   Ahamada Z., 2018, RAINWATER HARVESTING
   Ahmed K, 2019, THEOR APPL CLIMATOL, V137, P1347, DOI 10.1007/s00704-018-2672-5
   Al-Ansari N, 2014, OPEN ENG, V4, P250, DOI 10.2478/s13531-013-0151-4
   Bisung E, 2015, HEALTH PLACE, V31, P208, DOI 10.1016/j.healthplace.2014.12.007
   Bryan E, 2013, J ENVIRON MANAGE, V114, P26, DOI 10.1016/j.jenvman.2012.10.036
   Chaudhury A., 2012, PUBLICATION NOTES FI
   Czerniewska A, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0221445
   Debesai M. G., 2019, J AGR EC RURAL DEV, V5, P548
   Dunning CM, 2018, J CLIMATE, V31, P9719, DOI [10.1175/JCLI-D-18-0102.1, 10.1175/jcli-d-18-0102.1]
   Elisante E., 2017, Ethiopian Journal of Environmental Studies and Management, V10, P713
   Fabiyi O. O., 2013, J INDIGENOUS SOCIAL, V2, P1
   Faulkner S., 2017, The International Encyclopedia of Communication Research Methods, P1, DOI [DOI 10.1002/9781118901731.IECRM0060, 10.1002/9781118901731.IECRM0060, DOI 10.1002/9781118901731.IECRM0250]
   Funamizu N., 2019, RESOURCE ORIENTED AG
   Guhathakurta P, 2011, J EARTH SYST SCI, V120, P359, DOI 10.1007/s12040-011-0082-5
   Huang JP, 2016, CLIM DYNAM, V46, P1131, DOI 10.1007/s00382-015-2636-8
   Khalil MB, 2020, CLIM DEV, V12, P664, DOI 10.1080/17565529.2019.1676188
   Kibassa D., 2013, INDIGENOUS RAIN WATE
   Kitchen S., 2021, THESIS
   Kiwanuka-Tondo J, 2019, COGENT SOC SCI, V5, DOI 10.1080/23311886.2019.1588485
   Kolb S.M., 2012, Journal of Emerging Trends in Educational Research and Policy Studies, V3, P83
   Magnan AK, 2016, WIRES CLIM CHANGE, V7, P646, DOI 10.1002/wcc.409
   Masson-Delmotte V., 2021, Climate change 2021: The physical science basis, DOI [DOI 10.1017/9781009157896, 10.1017/9781009157896.002, DOI 10.1017/9781009157896.002]
   Mavhura E, 2013, INT J DISAST RISK RE, V5, P38, DOI 10.1016/j.ijdrr.2013.07.001
   Mbah M, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13094811
   Metcalfe SE, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01586-w
   Mills AJ, 2020, PLANTS PEOPLE PLANET, V2, P587, DOI 10.1002/ppp3.10126
   Murakwani PN, 2022, J WATER SANIT HYG DE, V12, P227, DOI 10.2166/washdev.2022.084
   Murshed S. B., 2011, 3 INT C WATER FLOOD
   Nalau J, 2018, WEATHER CLIM SOC, V10, P851, DOI 10.1175/WCAS-D-18-0032.1
   Neely K., 2019, Systems thinking and WASH: tools and case studies for a sustainable water supply
   OCHA, 2020, KENYA FLOODS FLASH U
   Onyutha C, 2016, J HYDRO-ENVIRON RES, V12, P31, DOI 10.1016/j.jher.2016.03.001
   Opondo DO, 2013, INT J GLOBAL WARM, V5, P452, DOI 10.1504/IJGW.2013.057285
   Orlove B, 2010, CLIMATIC CHANGE, V100, P243, DOI 10.1007/s10584-009-9586-2
   Otieno S. A., 2010, THESIS
   Petzold J, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/abb330
   Phoon S. Y., 2004, ASSESSING IMPACTS CL
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Radeny M, 2019, CLIMATIC CHANGE, V156, P509, DOI 10.1007/s10584-019-02476-9
   Rawlani AK, 2011, MITIG ADAPT STRAT GL, V16, P845, DOI 10.1007/s11027-011-9298-6
   Redvers N., 2018, Challenges, V9, P30, DOI [10.3390/challe9020030, DOI 10.3390/CHALLE9020030]
   Reed MS., 2015, Conflicts in Conservation: Navigating Towards Solutions. Ecological Reviews, P226, DOI [10.1017/CBO9781139084574.017, DOI 10.1017/CBO9781139084574.017]
   Schipper ELF, 2020, ONE EARTH, V3, P409, DOI 10.1016/j.oneear.2020.09.014
   Stockholm Environment Institute, 2009, EC CLIM CHANG KEN FI
   Tumbo SD, 2013, J SOCIO-ECON, V43, P24, DOI 10.1016/j.socec.2013.01.001
   Tungaraza C., IMPLEMENTATION REPOR
   UNEP, 2006, LAKE VICTORIA BASIN
   van der Geest K, 2004, ENVIRON POLICY, V39, P117
   van der Geest K, 2019, CLIM RISK MANAGE POL, P221, DOI 10.1007/978-3-319-72026-5_9
   Vignola R, 2015, AGR ECOSYST ENVIRON, V211, P126, DOI 10.1016/j.agee.2015.05.013
   World Health Organization, 2018, WHO WAT SAN HYG STRA
NR 53
TC 1
Z9 1
U1 1
U2 11
PU IWA PUBLISHING
PI LONDON
PA REPUBLIC-EXPORT BLDG, UNITS 1 04 & 1 05, 1 CLOVE CRESCENT, LONDON,
   ENGLAND
SN 2043-9083
EI 2408-9362
J9 J WATER SANIT HYG DE
JI J. Wate Sanit. Hyg. Dev.
PD MAR
PY 2023
VL 13
IS 3
BP 174
EP 186
DI 10.2166/washdev.2023.165
EA FEB 2023
PG 13
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA A6SY8
UT WOS:000936361700001
OA gold
DA 2025-01-10
ER

PT J
AU Liu, XY
   Cui, QB
AF Liu, Xiaoyu
   Cui, Qingbin
TI Combining carbon mitigation and climate adaptation goals for buildings
   exposed to hurricane risks
SO ENERGY AND BUILDINGS
LA English
DT Article
DE Resilience; Emission abatement; Greenhouse gas; Hurricane risk; Dynamic
   optimization
ID FRAGILITY ASSESSMENT; STRUCTURAL DESIGN; INFRASTRUCTURE; RESILIENCE;
   DAMAGE; WIND; PERFORMANCE; FRAMEWORK; IMPACT
AB As climate risks increase, there is a challenge of combining the goals of carbon mitigation and climate adaptation into building designs. These two goals are often misaligned because adaptation measures use additional materials and equipment, which can increase greenhouse gas (GHG) emissions. This phenomenon means that building design involves tradeoffs between enhanced structural resilience and reduced GHG emissions. This paper seeks to identify the optimal investment allocation mechanisms between carbon mitigation and climate adaptation measures for the design of buildings in hurricane-prone regions. A dynamic decision-making model is developed to maximize individual investors' expected payoffs over a building's lifetime. The model is based on the damage evaluation of non-stationary hurricane occurrence and building emission performance under different mitigation scenarios. The results reveal a transition from long-advocated low-carbon investments to risk-oriented portfolios for building retrofits. A case study on Anne Arundel County, MD, for which a "60-40" resilience/abatement portfolio is recommended, shows the value of enhancing structural resilience. Discretion on the accuracy of insurance premium discounts is needed to support risk mitigation efforts. Meanwhile, subsidies for emission abatements are recommended to accommodate existing emission trading schemes and building property values. (C) 2018 Elsevier B.V. All rights reserved.
C1 [Liu, Xiaoyu; Cui, Qingbin] Univ Maryland, Dept Civil & Environm Engn, College Pk, MD 20792 USA.
   [Liu, Xiaoyu] Univ Maryland, Dept Econ, College Pk, MD 20742 USA.
C3 University System of Maryland; University of Maryland College Park;
   University System of Maryland; University of Maryland College Park
RP Cui, QB (corresponding author), Univ Maryland, Dept Civil & Environm Engn, College Pk, MD 20792 USA.
EM cui@umd.edu
RI liu, xiaoyu/AAN-9919-2021; Cui, Qingbin/H-6323-2011
OI Cui, Qingbin/0000-0001-8128-8883
CR Aldy JE, 2015, NAT CLIM CHANGE, V5, P396, DOI 10.1038/nclimate2540
   [Anonymous], 2013, Disaster Resilience: A National Imperative
   [Anonymous], C PART SERV M PART K
   [Anonymous], RET RES BUS CAS
   [Anonymous], 2013, NBS SPECIAL PUBLICAT
   Ayyub BM, 2015, ASCE-ASME J RISK UNC, V1, DOI 10.1115/1.4026396
   Ayyub BM, 2014, RISK ANAL, V34, P340, DOI 10.1111/risa.12093
   Ayyub BM, 2012, RISK ANAL, V32, P1901, DOI 10.1111/j.1539-6924.2011.01710.x
   Bjamadottir S., 2011, STRUCT SAF, V3, P175
   Chang S.E., 2009, The Bridge, V39, P36
   Chock GYK, 2005, J WIND ENG IND AEROD, V93, P603, DOI 10.1016/j.jweia.2005.06.001
   Chopra SS, 2015, PHYSICA A, V436, P865, DOI 10.1016/j.physa.2015.05.091
   EFA, 2016, EL POW MONTHL DAT DE
   Ellingwood BR, 2004, J STRUCT ENG-ASCE, V130, P1921, DOI 10.1061/(ASCE)0733-9445(2004)130:12(1921)
   Emanuel KA, 2013, P NATL ACAD SCI USA, V110, P12219, DOI 10.1073/pnas.1301293110
   FDEM, 2005, MAK MIT HAPP
   Flippini R., 2014, RELIAB ENG SYST SAF, V125
   Georgiou P.N., 1986, DESIGN WIND SPEEDS T
   Guikema SD, 2009, SCIENCE, V323, P1302, DOI 10.1126/science.1169057
   Huang ZG, 2001, RELIAB ENG SYST SAFE, V74, P239, DOI 10.1016/S0951-8320(01)00086-2
   IPCC, 2000, IPCC SPEC REP EM SCE
   Ju JW, 2014, ENVIRON SCI TECHNOL, V48, P14069, DOI 10.1021/es505118x
   Kneifel J, 2010, ENERG BUILDINGS, V42, P333, DOI 10.1016/j.enbuild.2009.09.011
   Kossin J., 2014, IMPACT CLIMATE CHANG
   Lee KH, 2005, ENG STRUCT, V27, P857, DOI 10.1016/j.engstruct.2004.12.017
   Li K, 2007, ENVIRON SCI TECHNOL, V41, P5130, DOI 10.1021/es062481d
   Li QW, 2016, STRUCT SAF, V59, P108, DOI 10.1016/j.strusafe.2016.01.001
   Linkov I, 2014, NAT CLIM CHANGE, V4, P407, DOI 10.1038/nclimate2227
   National Laboratory of the U.S. Department of Energy, 2017, OPENSTUDIO
   Pal SK, 2017, BUILD ENVIRON, V123, P146, DOI 10.1016/j.buildenv.2017.06.051
   Pinelli J. P., 2009, 11 AM C WIND ENG AM
   PNNL, 2015, 9012013 PNNL ANSIASH
   Robati M, 2018, ENERG BUILDINGS, V166, P525, DOI 10.1016/j.enbuild.2018.02.034
   Robati M, 2017, BUILD ENVIRON, V124, P258, DOI 10.1016/j.buildenv.2017.08.018
   Robati M, 2016, CONSTR BUILD MATER, V128, P422, DOI 10.1016/j.conbuildmat.2016.10.092
   Robert A, 2012, BUILD ENVIRON, V55, P150, DOI 10.1016/j.buildenv.2011.12.014
   Rochas C, 2015, J CLEAN PROD, V88, P358, DOI 10.1016/j.jclepro.2014.04.081
   TCR, 2015, CLIM REG DEF EM FACT
   The Carbon Catalog, 2017, PRIC VOL CARB OFFS
   Torkian BB, 2014, NAT HAZARDS REV, V15, P150, DOI 10.1061/(ASCE)NH.1527-6996.0000122
   UNISDR, 2012, MAK CIT RES MY CIT G
   van de Lindt JW, 2009, J STRUCT ENG, V135, P169, DOI 10.1061/(ASCE)0733-9445(2009)135:2(169)
   Yue L, 2006, ENG STRUCT, V28, P1009, DOI 10.1016/j.engstruct.2005.11.005
NR 43
TC 1
Z9 1
U1 7
U2 39
PU ELSEVIER SCIENCE SA
PI LAUSANNE
PA PO BOX 564, 1001 LAUSANNE, SWITZERLAND
SN 0378-7788
EI 1872-6178
J9 ENERG BUILDINGS
JI Energy Build.
PD OCT 15
PY 2018
VL 177
BP 257
EP 267
DI 10.1016/j.enbuild.2018.08.001
PG 11
WC Construction & Building Technology; Energy & Fuels; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Energy & Fuels; Engineering
GA GX2UT
UT WOS:000447576300019
DA 2025-01-10
ER

PT J
AU Monsod, TMC
   Majadillas, MA
   Gochoco-Bautista, MS
AF Monsod, Toby Melissa C.
   Majadillas, Mary Anne
   Gochoco-Bautista, Maria Socorro
TI Unlocking the flow of finance for climate adaptation: estimates of
   'Fiscal Space' in climate-vulnerable developing countries
SO CLIMATE POLICY
LA English
DT Article; Early Access
DE Fiscal space; debt limits; adaptation finance; climate-vulnerable
   developing countries; financial death trap; international financial
   system
AB We study the availability of fiscal space in climate-vulnerable developing countries. These countries require urgent climate adaptation and transition investments. However, their governments describe being bypassed for international financial support due to 'limited fiscal space.' We suspect that many governments are not close to a point of long-term insolvency but are unable to maneuver fiscally because of what has been called a 'financial death trap.' We apply a measure of fiscal space based on an endogenous debt limit reflective of a country's record of fiscal adjustment consistent with long-term solvency. We find that for many countries, the distance between the endogenous debt limit and forecast public debt ratios - i.e. fiscal space - is fairly ample. Our findings imply that climate-vulnerable countries should be afforded a second look by international financial institutions using a long-term lens, of which this measure of fiscal space is an example. By illuminating the difference between long-term insolvency and short-term liquidity crises, the endogenous debt limit measure could be part of a multi-pronged strategy to unlock greater flows of adaptation finance. It could lower the cost of capital or be useful in the efficient allocation of adaptation financing among countries given current shortfalls. Actions to obviate the financial death trap are also warranted. Climate ambitions will be derailed if otherwise solvent and able governments are unable to access finance for urgent climate adaptation investments.
   Key Policy InsightsFiscal space, the distance from projected debt ratios to country-specific debt limits beyond which long-term solvency fails, is estimated to be fairly ample in many climate-vulnerable developing countries.A clear understanding of fiscal space in climate-vulnerable developing countries could help unlock greater flows of adaptation finance.Debt thresholds in IMF debt sustainability frameworks should not be confused with limits to fiscal space per se. Doing so could cause otherwise solvent and able governments to be caught in a financial death trap.Delayed or foregone climate adaptation and transition investments, and delay of their mitigation co-benefits, due to a financial death trap warrant action to overhaul the global financial system.
C1 [Monsod, Toby Melissa C.; Gochoco-Bautista, Maria Socorro] Univ Philippines, Sch Econ, Quezon City, Philippines.
   [Majadillas, Mary Anne] Calif State Univ, Monterey Bay, Seaside, CA USA.
C3 University of the Philippines System; University of the Philippines
   Diliman
RP Monsod, TMC (corresponding author), Univ Philippines, Sch Econ, Quezon City, Philippines.
EM tcmonsod@up.edu.ph
RI monsod, toby/IXE-0150-2023
FU Financial Futures Center
FX This work was supported in part by the Financial Futures Center.
CR Abbas S.A., 2019, Sovereign Debt: A Guide for Economists and Practitioners
   Abiad A., 2005, IMF POLICY DISCUSSIO
   [Anonymous], 2018, ICO Annual Review 2017/, P18
   [Anonymous], 2002, ASS SUST
   [Anonymous], 2015, IMF Staff Discussion Note No. 15/10
   Batini N., 2021, 2021087 IMF
   Beirne J, 2021, INT REV ECON FINANC, V76, P920, DOI 10.1016/j.iref.2021.06.019
   Bervendsen, 2020, 11 CTR EN EC RES POL
   Bhattacharya A., 2020, The Independent Expert Group on Climate Finance
   Blanchard Olivier., 1990, OECD Economic Studies, V15
   Eckstein D., 2021, Global Climate Risk Index 2021: Who Suffers Most from Extreme Weather Events? Weather-Related Loss Events in 2019 and 20002019
   Escolano J., 2011, 2011260 IMF
   Ghosh AR, 2013, J INT MONEY FINANC, V34, P131, DOI 10.1016/j.jimonfin.2012.11.008
   Ghosh AR, 2013, ECON J, V123, pF4, DOI 10.1111/ecoj.12010
   Hourcade J. C., 2021, Scaling up climate finance in the context of Covid-19.
   International Monetary Fund, 2014, FISC AN FOR WORKSH B, P16
   International Monetary Fund, 2011, MOD FRAM FISC POL PU
   International Monetary Fund, 2018, Guidance note on the bank-fund debt sustainability framework for low income countries
   International Monetary Fund, 2021, REV DEBT SUST FRAM M
   International Monetary Fund, 2013, STAFF GUID NOT PUBL
   Jalles T., 2020, 2020079 IMF
   Mendoza EG, 2008, J MONETARY ECON, V55, P1081, DOI 10.1016/j.jmoneco.2008.06.003
   OECD, 2022, Climate finance provided and mobilised by developed countries in 2016-2020: insights from disaggregated analysis, climate finance and the USD 100 Billion Goal, DOI [10.1787/286dae5d-en, DOI 10.1787/286DAE5D-EN]
   Ostry J.D., 2010, Fiscal space
   Pesaran MH, 2008, J ECONOMETRICS, V142, P50, DOI 10.1016/j.jeconom.2007.05.010
   Prasad A., 2022, IMF Staff Climate Note
   Sachs J., 2021, TIME OVERHAUL GLOBAL
   Schaffer M.E., 2006, STAT SOFTWARE COMPON
   Tanner E., 2013, 1389 IMF
   United Nations Environment Programme, 2022, Adaptation Gap Report 2022: Too Little, Too Slow Climate Adaptation Failure Puts World at Risk (DEW/2480/NA)
   United Nations Environment Programme Imperial College Business School & SOAS-University of London, 2018, CLIM CHANG COST CAP
   V20, 2021, STAT DEBT RESTR OPT
   V20, 2022, CLIM FIN VIEWP
   V20, 2021, 1 CLIM VULN FIN SUMM
NR 34
TC 1
Z9 1
U1 2
U2 11
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1469-3062
EI 1752-7457
J9 CLIM POLICY
JI Clim. Policy
PD 2023 JUN 14
PY 2023
DI 10.1080/14693062.2023.2224281
EA JUN 2023
PG 12
WC Environmental Studies; Public Administration
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public Administration
GA J1ZC1
UT WOS:001007652400001
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Kramer, IM
   Pfenninger, M
   Feldmeyer, B
   Dhimal, M
   Gautam, I
   Shreshta, P
   Baral, S
   Phuyal, P
   Hartke, J
   Magdeburg, A
   Groneberg, DA
   Ahrens, B
   Müller, R
   Waldvogel, AM
AF Kramer, Isabelle Marie
   Pfenninger, Markus
   Feldmeyer, Barbara
   Dhimal, Meghnath
   Gautam, Ishan
   Shreshta, Pramod
   Baral, Sunita
   Phuyal, Parbati
   Hartke, Juliane
   Magdeburg, Axel
   Groneberg, David A.
   Ahrens, Bodo
   Muller, Ruth
   Waldvogel, Ann-Marie
TI Genomic profiling of climate adaptation in <i>Aedes aegypti</i> along an
   altitudinal gradient in Nepal indicates nongradual expansion of the
   disease vector
SO MOLECULAR ECOLOGY
LA English
DT Article
DE climate change genomics; latent factor mixed model; range expansion;
   whole genome pooled sequencing; yellow fever mosquito
ID LOCAL ADAPTATION; DROSOPHILA-MELANOGASTER; WIDE PATTERNS;
   DIFFERENTIATION; DENGUE; IDENTIFICATION; URBANIZATION; ASSOCIATION;
   TEMPERATURE; POPULATIONS
AB Driven by globalization, urbanization and climate change, the distribution range of invasive vector species has expanded to previously colder ecoregions. To reduce health-threatening impacts on humans, insect vectors are extensively studied. Population genomics can reveal the genomic basis of adaptation and help to identify emerging trends of vector expansion. By applying whole genome analyses and genotype-environment associations to populations of the main dengue vector Aedes aegypti, sampled along an altitudinal gradient in Nepal (200-1300 m), we identify putatively adaptive traits and describe the species' genomic footprint of climate adaptation to colder ecoregions. We found two differentiated clusters with significantly different allele frequencies in genes associated to climate adaptation between the highland population (1300 m) and all other lowland populations (<= 800 m). We revealed nonsynonymous mutations in 13 of the candidate genes associated to either altitude, precipitation or cold tolerance and identified an isolation-by-environment differentiation pattern. Other than the expected gradual differentiation along the altitudinal gradient, our results reveal a distinct genomic differentiation of the highland population. Local high-altitude adaptation could be one explanation of the population's phenotypic cold tolerance. Carrying alleles relevant for survival under colder climate increases the likelihood of this highland population to a worldwide expansion into other colder ecoregions.
C1 [Kramer, Isabelle Marie; Phuyal, Parbati; Magdeburg, Axel; Groneberg, David A.; Muller, Ruth] Goethe Univ, Inst Occupat Social & Environm Med, Frankfurt, Germany.
   [Kramer, Isabelle Marie; Pfenninger, Markus; Feldmeyer, Barbara; Waldvogel, Ann-Marie] Senckenberg Biodivers & Climate Res Ctr, Frankfurt, Germany.
   [Pfenninger, Markus; Hartke, Juliane] Johannes Gutenberg Univ Mainz, Inst Organism & Mol Evolut, Mainz, Germany.
   [Dhimal, Meghnath; Shreshta, Pramod; Baral, Sunita] Nepal Hlth Res Council, Kathmandu, Nepal.
   [Gautam, Ishan] Tribhuvan Univ, Nat Hist Museum, Kathmandu, Nepal.
   [Ahrens, Bodo] Goethe Univ, Inst Atmospher & Environm Sci, Frankfurt, Germany.
   [Muller, Ruth] Inst Trop Med, Unit Entomol, Antwerp, Belgium.
   [Waldvogel, Ann-Marie] Univ Cologne, Inst Zool, Cologne, Germany.
C3 Goethe University Frankfurt; Senckenberg Biodiversitat & Klima-
   Forschungszentrum (BiK-F); Leibniz Association; Senckenberg Gesellschaft
   fur Naturforschung (SGN); Johannes Gutenberg University of Mainz;
   Tribhuvan University; Goethe University Frankfurt; Institute of Tropical
   Medicine (ITM); University of Cologne
RP Kramer, IM (corresponding author), Goethe Univ, Inst Occupat Social & Environm Med, Frankfurt, Germany.
EM kramer@med.uni-frankfurt.de
RI Magdeburg, Axel/G-5609-2011; Gautam, Ishan/KIC-8736-2024; Dhimal,
   Meghnath/AAD-7261-2021; Feldmeyer, Barbara/E-5067-2015; Waldvogel (née
   Oppold), Ann-Marie/GYD-8903-2022; Ahrens, Bodo/A-7439-2008
OI Ahrens, Bodo/0000-0002-6452-3180; Pfenninger,
   Markus/0000-0002-1547-7245; Kramer, Isabelle Marie/0000-0002-5106-2012;
   Dhimal, Meghnath/0000-0001-7176-7821
FU Bundesministerium fuer Bildung und Forschung [01Kl1717]; LOEWE Centre
   Translational Biodivrsity Genomics
FX Bundesministerium fuer Bildung und Forschung, Grant/Award Number:
   01Kl1717; LOEWE Centre Translational Biodivrsity Genomics
CR Acharya BK, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15020187
   Alexa A., 2016, Gene set enrichment analysis with topGO'
   de Almeida JP, 2021, CURR OPIN VIROL, V49, P7, DOI 10.1016/j.coviro.2021.04.002
   [Anonymous], 2009, Journal of Natural History Museum
   Beier S, 2017, BIOINFORMATICS, V33, P2583, DOI 10.1093/bioinformatics/btx198
   Bennett KL, 2021, EVOL APPL, V14, P1301, DOI 10.1111/eva.13199
   Bennett KL, 2021, CLIMATE, V9, DOI 10.3390/cli9020036
   Bergland AO, 2016, MOL ECOL, V25, P1157, DOI 10.1111/mec.13455
   Bhatt S, 2013, NATURE, V496, P504, DOI 10.1038/nature12060
   Black WC, 2002, ARCH MED RES, V33, P379, DOI 10.1016/S0188-4409(02)00373-9
   Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
   Broad Institute, 2019, GitHub repository
   Brown JE, 2011, P ROY SOC B-BIOL SCI, V278, P2446, DOI 10.1098/rspb.2010.2469
   Caye K, 2019, MOL BIOL EVOL, V36, P852, DOI 10.1093/molbev/msz008
   Cheng CD, 2012, GENETICS, V190, P1417, DOI 10.1534/genetics.111.137794
   DARSIE R F JR, 1990, Mosquito Systematics, V22, P69
   De Majo MS, 2019, J MED ENTOMOL, V56, P1661, DOI 10.1093/jme/tjz087
   Dhimal M, 2021, FRONT PHYSIOL, V12, DOI 10.3389/fphys.2021.651189
   Dhimal M, 2021, ADV CLIM CHANG RES, V12, P421, DOI 10.1016/j.accre.2021.05.003
   Dhimal M, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0129869
   Dhimal M, 2015, PLOS NEGLECT TROP D, V9, DOI 10.1371/journal.pntd.0003545
   Dhimal M, 2014, PARASITE VECTOR, V7, DOI 10.1186/s13071-014-0540-4
   Dickson LB, 2020, PLOS GENET, V16, DOI 10.1371/journal.pgen.1008794
   Dickson LB, 2014, PLOS NEGLECT TROP D, V8, DOI 10.1371/journal.pntd.0003153
   Endersby-Harshman NM, 2020, MOL ECOL, V29, P1628, DOI 10.1111/mec.15430
   Fabian DK, 2012, MOL ECOL, V21, P4748, DOI 10.1111/j.1365-294X.2012.05731.x
   Faucon F, 2017, PLOS NEGLECT TROP D, V11, DOI 10.1371/journal.pntd.0005526
   Field A.L., 2015, DISSERTATION
   Fischer S, 2019, J INSECT PHYSIOL, V117, DOI 10.1016/j.jinsphys.2019.05.005
   Futschik A, 2010, GENETICS, V186, P207, DOI 10.1534/genetics.110.114397
   Gabrieli P, 2014, GENOME BIOL, V15, DOI 10.1186/s13059-014-0535-7
   Garzón MJ, 2021, MED VET ENTOMOL, V35, P97, DOI 10.1111/mve.12474
   Gautier M, 2015, GENETICS, V201, P1555, DOI 10.1534/genetics.115.181453
   Gibson SY, 2009, CONSERV BIOL, V23, P1369, DOI 10.1111/j.1523-1739.2009.01375.x
   Gloria-Soria A, 2016, MOL ECOL, V25, P5377, DOI 10.1111/mec.13866
   Gubler Duane J, 2011, Trop Med Health, V39, P3, DOI 10.2149/tmh.2011-S05
   Günther T, 2013, GENETICS, V195, P205, DOI 10.1534/genetics.113.152462
   Hancock PA, 2016, BMC BIOL, V14, DOI 10.1186/s12915-016-0319-5
   Hargreaves AL, 2019, ECOL LETT, V22, P78, DOI 10.1111/ele.13169
   Hartke J, 2021, J EVOLUTION BIOL, V34, P937, DOI 10.1111/jeb.13742
   Hoban S, 2016, AM NAT, V188, P379, DOI 10.1086/688018
   Huber K, 2004, ACTA TROP, V90, P23, DOI 10.1016/j.actatropica.2003.09.012
   Ibanez-Justicia Adolfo, 2020, Journal of the European Mosquito Control Association, V38, P1
   Iwamura T, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-16010-4
   Jeffreys H., 1961, THEORY PROBABILITY
   Jiang S, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-48472-y
   Karger Dirk N, 2018, Dryad
   Karger DN, 2017, SCI DATA, V4, DOI 10.1038/sdata.2017.122
   Karl TR, 1988, J CLIMATE, V1, P1099, DOI 10.1175/1520-0442(1988)001<1099:UIDAEI>2.0.CO;2
   Kawada H, 2020, PARASITE VECTOR, V13, DOI 10.1186/s13071-020-04090-6
   Kearney M, 2009, FUNCT ECOL, V23, P528, DOI 10.1111/j.1365-2435.2008.01538.x
   Kofler R, 2011, BIOINFORMATICS, V27, P3435, DOI 10.1093/bioinformatics/btr589
   Kofler R, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0015925
   Kolaczkowski B, 2011, GENETICS, V187, P245, DOI 10.1534/genetics.110.123059
   Kopelman NM, 2015, MOL ECOL RESOUR, V15, P1179, DOI 10.1111/1755-0998.12387
   Kraemer MUG, 2019, NAT MICROBIOL, V4, P854, DOI 10.1038/s41564-019-0376-y
   Kramer I.M., 2021, THESIS GOETHE U
   Kramer IM, 2020, PARASITE VECTOR, V13, DOI 10.1186/s13071-020-04054-w
   Kramer IM, 2021, SCI TOTAL ENVIRON, V778, DOI 10.1016/j.scitotenv.2021.146128
   Kramer IM, 2021, ENTOMOL EXP APPL, V169, P374, DOI 10.1111/eea.13022
   Krzywinski M, 2009, GENOME RES, V19, P1639, DOI 10.1101/gr.092759.109
   Lahondere C, 2020, P NATL ACAD SCI USA, V117, P708, DOI 10.1073/pnas.1910589117
   Li H, 2009, BIOINFORMATICS, V25, P2078, DOI 10.1093/bioinformatics/btp352
   Li H, 2009, BIOINFORMATICS, V25, P1754, DOI 10.1093/bioinformatics/btp324
   Liu-Helmersson J, 2019, FRONT PUBLIC HEALTH, V7, DOI 10.3389/fpubh.2019.00148
   Loffler G., 2007, Biochemie und Pathobiochemie 8
   Malla S, 2008, EMERG INFECT DIS, V14, P1669, DOI 10.3201/eid1410.080432
   Marcantonio M, 2019, ECOSPHERE, V10, DOI 10.1002/ecs2.2977
   Marselle MR, 2021, ENVIRON INT, V150, DOI 10.1016/j.envint.2021.106420
   Matthews BJ, 2018, NATURE, V563, P501, DOI 10.1038/s41586-018-0692-z
   McBride CS, 2016, CURR BIOL, V26, pR41, DOI 10.1016/j.cub.2015.11.032
   Messina JP, 2019, NAT MICROBIOL, V4, P1508, DOI 10.1038/s41564-019-0476-8
   Mitchell J.M., 1961, WEATHERWISE, V14, P224, DOI [10.1080/00431672.1961.9930028, DOI 10.1080/00431672.1961.9930028]
   Muir LE, 1998, AM J TROP MED HYG, V58, P277, DOI 10.4269/ajtmh.1998.58.277
   Murray Natasha Evelyn Anne, 2013, Clin Epidemiol, V5, P299, DOI 10.2147/CLEP.S34440
   Oksanen J, 2022, R package version 2.6-2, DOI DOI 10.4135/9781412971874.N145
   Oppold AM, 2017, EVOL LETT, V1, P86, DOI 10.1002/evl3.8
   Orsini L, 2013, MOL ECOL, V22, P5983, DOI 10.1111/mec.12561
   Peters W., 1956, Indian Journal of Malariology, V10, P37
   Phuyal P, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17186656
   Poudel A, 2020, INT J CLIMATOL, V40, P4956, DOI 10.1002/joc.6499
   Pritchard JK, 2000, GENETICS, V155, P945
   Quevillon E, 2005, NUCLEIC ACIDS RES, V33, pW116, DOI 10.1093/nar/gki442
   Ramirez JL, 2010, DEV COMP IMMUNOL, V34, P625, DOI 10.1016/j.dci.2010.01.006
   Rane RV, 2015, MOL ECOL, V24, P2423, DOI 10.1111/mec.13161
   Reuss F, 2018, PARASITE VECTOR, V11, DOI 10.1186/s13071-018-2659-1
   Rijal KR, 2021, INFECT DIS POVERTY, V10, DOI 10.1186/s40249-021-00837-0
   Rinker DC, 2016, GENOME BIOL, V17, DOI 10.1186/s13059-016-0966-4
   Samuel GH, 2016, CURR OPIN INSECT SCI, V16, P108, DOI 10.1016/j.cois.2016.06.005
   Schmidt TL, 2021, TRENDS PARASITOL, V37, P907, DOI 10.1016/j.pt.2021.05.002
   Schoennenbeck P., 2021, BIORXIV
   Sedlazeck FJ, 2013, BIOINFORMATICS, V29, P2790, DOI 10.1093/bioinformatics/btt468
   Sharma Y, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-10489-2
   Sherpa S, 2022, MOL BIOL EVOL, V39, DOI 10.1093/molbev/msac104
   Sherpa S, 2019, ECOL EVOL, V9, P12658, DOI 10.1002/ece3.5734
   Sherpa S, 2019, EVOLUTION, V73, P1793, DOI 10.1111/evo.13801
   Sherpa S, 2019, MOL ECOL, V28, P2360, DOI 10.1111/mec.15071
   Sim S, 2016, GENOME BIOL, V17, DOI 10.1186/s13059-016-0907-2
   Simington C., 2020, BIORXIV, DOI [10.1101/2020.04.06.027706, DOI 10.1101/2020.04.06.027706]
   Slotman MA, 2007, MOL ECOL NOTES, V7, P168, DOI 10.1111/j.1471-8286.2006.01533.x
   Staunton KM, 2019, J MED ENTOMOL, V56, P1102, DOI 10.1093/jme/tjz018
   Stirling C, 2010, BMC HEALTH SERV RES, V10, DOI 10.1186/1472-6963-10-122
   Sylla M, 2009, PLOS NEGLECT TROP D, V3, DOI 10.1371/journal.pntd.0000408
   Thakuri S, 2019, ATMOS RES, V228, P261, DOI 10.1016/j.atmosres.2019.06.006
   Thomas CD, 2010, DIVERS DISTRIB, V16, P488, DOI 10.1111/j.1472-4642.2010.00642.x
   Trájer AJ, 2021, HELIYON, V7, DOI 10.1016/j.heliyon.2021.e07981
   Verdonschot PFM, 2014, LIMNOLOGICA, V45, P69, DOI 10.1016/j.limno.2013.11.002
   Voet D., 2008, FUNDAMENTALS BIOCH L
   Waldvogel AM, 2020, FRONT ECOL EVOL, V8, DOI 10.3389/fevo.2020.00242
   Waldvogel AM, 2020, EVOL LETT, V4, P4, DOI 10.1002/evl3.154
   Waldvogel AM, 2018, MOL ECOL, V27, P1439, DOI 10.1111/mec.14543
   Wang IJ, 2014, MOL ECOL, V23, P5649, DOI 10.1111/mec.12938
   Wilson AL, 2020, PLOS NEGLECT TROP D, V14, DOI 10.1371/journal.pntd.0007831
   World Health Organization, 2020, Dengue and severe dengue
   Zhang JJ, 2014, BIOINFORMATICS, V30, P614, DOI 10.1093/bioinformatics/btt593
NR 115
TC 3
Z9 4
U1 3
U2 33
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0962-1083
EI 1365-294X
J9 MOL ECOL
JI Mol. Ecol.
PD JAN
PY 2023
VL 32
IS 2
BP 350
EP 368
DI 10.1111/mec.16752
EA NOV 2022
PG 19
WC Biochemistry & Molecular Biology; Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology; Environmental Sciences & Ecology;
   Evolutionary Biology
GA 7S1TK
UT WOS:000888430000001
PM 36305220
OA Green Published, hybrid, Green Submitted
DA 2025-01-10
ER

PT J
AU Fournier-Level, A
   Taylor, MA
   Paril, JF
   Martinez-Berdeja, A
   Stitzer, MC
   Cooper, MD
   Roe, JL
   Wilczek, AM
   Schmitt, J
AF Fournier-Level, Alexandre
   Taylor, Mark A.
   Paril, Jefferson F.
   Martinez-Berdeja, Alejandra
   Stitzer, Michelle C.
   Cooper, Martha D.
   Roe, Judith L.
   Wilczek, Amity M.
   Schmitt, Johanna
TI Adaptive significance of flowering time variation across natural
   seasonal environments in Arabidopsis thaliana
SO NEW PHYTOLOGIST
LA English
DT Article
DE climate adaptation; common garden; fitness; genome-wide association;
   gradient forest; natural variation; plasticity; selection
ID GENOME-WIDE ASSOCIATION; PHENOTYPIC PLASTICITY; GENETIC-VARIATION; LOCAL
   ADAPTATION; CLIMATE-CHANGE; EMPIRICAL-EVIDENCE; CLINAL VARIATION;
   SELECTION; RESPONSES; EVOLUTION
AB The relevance of flowering time variation and plasticity to climate adaptation requires a comprehensive empirical assessment. We investigated natural selection and the genetic architecture of flowering time in Arabidopsis through field experiments in Europe across multiple sites and seasons. We estimated selection for flowering time, plasticity and canalization. Loci associated with flowering time, plasticity and canalization by genome-wide association studies were tested for a geographic signature of climate adaptation. Selection favored early flowering and increased canalization, except at the northernmost site, but was rarely detected for plasticity. Genome-wide association studies revealed significant associations with flowering traits and supported a substantial polygenic inheritance. Alleles associated with late flowering, including functional FRIGIDA variants, were more common in regions experiencing high annual temperature variation. Flowering time plasticity to fall vs spring and summer environments was associated with GIGANTEA SUPPRESSOR 5, which promotes early flowering under decreasing day length and temperature. The finding that late flowering genotypes and alleles are associated with climate is evidence for past adaptation. Real-time phenotypic selection analysis, however, reveals pervasive contemporary selection for rapid flowering in agricultural settings across most of the species range. The response to this selection may involve genetic shifts in environmental cuing compared to the ancestral state.
C1 [Fournier-Level, Alexandre; Paril, Jefferson F.] Univ Melbourne, Sch Biosci, Parkville, Vic 3010, Australia.
   [Taylor, Mark A.; Martinez-Berdeja, Alejandra; Stitzer, Michelle C.; Schmitt, Johanna] Univ Calif Davis, Dept Ecol & Evolut, Davis, CA 95616 USA.
   [Cooper, Martha D.] Brown Univ, Dept Ecol & Evolut, Providence, RI 02912 USA.
   [Roe, Judith L.] Univ Maine Presque Isle, Coll Arts & Sci Biol Agr Sci & Agribusiness, Presque Isle, ME 04769 USA.
   [Wilczek, Amity M.] Deep Springs Coll, Big Pine, CA 93513 USA.
C3 University of Melbourne; University of California System; University of
   California Davis; Brown University; University of Maine System;
   University of Maine Presque Isle
RP Fournier-Level, A (corresponding author), Univ Melbourne, Sch Biosci, Parkville, Vic 3010, Australia.
EM afournier@unimelb.edu.au
RI Schmitt, Johanna/JQV-4612-2023
OI FOURNIER-LEVEL, ALEXANDRE/0000-0002-6047-7164; Stitzer,
   Michelle/0000-0003-4140-3765; TAYLOR, MARK/0000-0003-2266-7917; Paril,
   Jefferson/0000-0002-5693-4123
FU University of Melbourne Miegunyah Fellowship; NSF [EF-0425759,
   GRFP-2014157993, DEB-1754102]; Alexander von Humboldt Research Award
FX We are grateful to M. Blazquez, G. Coupland, C. Dean, M.Hoffmann, M.
   Koornneef, H. Kuittinen, and O. Savolainen for hosting the experiments;
   S. Welch and M. Knapp for designing and setting up the on-site weather
   stations; J. Anderson, D.Eaton, J. F. Egan, C. Lopez-Gallego, L. J.
   Martin, B. Moyers, C. D. Muir, R. Petipas, R. N. Schaeffer, S. Sim, and
   A. Walker for managing the field experiments; L. Burghardt, C. Cooper,
   M.Cooper, E. Josephs, A. Lockwood, J. Mears, S. Myllyla, C.Oakley, R.
   Palmer, S. Rudder, A. Stathos, S. Welch, and E.Bishop-Von Wettberg for
   field help; many Brown undergraduates for fruit counts; and D. Runcie
   for advice on the photothermal time calculation. We thank Angel
   Ferrero-Serano for providing additional environmental descriptors. We
   finally thank John Kelly and two anonymous reviewers for comments that
   greatly improved the manuscript. This work was supported by NSF grants
   EF-0425759, GRFP-2014157993, and DEB-1754102, an Alexander von Humboldt
   Research Award, and a University of Melbourne Miegunyah Fellowship.
CR Ågren J, 2017, EVOLUTION, V71, P550, DOI 10.1111/evo.13126
   Ågren J, 2013, P NATL ACAD SCI USA, V110, P21077, DOI 10.1073/pnas.1316773110
   Ågren J, 2012, NEW PHYTOL, V194, P1112, DOI 10.1111/j.1469-8137.2012.04112.x
   Alonso-Blanco C, 1998, GENETICS, V149, P749
   Alonso-Blanco C, 2016, CELL, V166, P481, DOI 10.1016/j.cell.2016.05.063
   Amasino R, 2010, PLANT J, V61, P1001, DOI 10.1111/j.1365-313X.2010.04148.x
   Amiguet-Vercher A, 2015, NEW PHYTOL, V205, P1076, DOI 10.1111/nph.13225
   Anderson JT, 2015, GLOBAL CHANGE BIOL, V21, P1689, DOI 10.1111/gcb.12770
   Anderson JT, 2012, P ROY SOC B-BIOL SCI, V279, P3843, DOI 10.1098/rspb.2012.1051
   Andrés F, 2012, NAT REV GENET, V13, P627, DOI 10.1038/nrg3291
   Antonov AV, 2011, NUCLEIC ACIDS RES, V39, pW323, DOI 10.1093/nar/gkr372
   Arouisse B, 2020, PLANT J, V102, P872, DOI 10.1111/tpj.14659
   Atwell S, 2010, NATURE, V465, P627, DOI 10.1038/nature08800
   Auld JR, 2010, P ROY SOC B-BIOL SCI, V277, P503, DOI 10.1098/rspb.2009.1355
   Austen EJ, 2017, NEW PHYTOL, V215, P929, DOI 10.1111/nph.14580
   Balasubramanian S, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0004318
   Bartholomé E, 2005, INT J REMOTE SENS, V26, P1959, DOI 10.1080/01431160412331291297
   BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
   Blackman BK, 2017, PLANT PHYSIOL, V173, P16, DOI 10.1104/pp.16.01683
   Bloomer RH, 2017, J EXP BOT, V68, P5439, DOI 10.1093/jxb/erx270
   Bonamour S, 2019, PHILOS T R SOC B, V374, DOI 10.1098/rstb.2018.0178
   Botero CA, 2015, P NATL ACAD SCI USA, V112, P184, DOI 10.1073/pnas.1408589111
   Brachi B, 2013, ACTA BOT GALLICA, V160, P205, DOI 10.1080/12538078.2013.807302
   Brachi B, 2013, MOL ECOL, V22, P4222, DOI 10.1111/mec.12396
   Brachi B, 2011, GENOME BIOL, V12, DOI 10.1186/gb-2011-12-10-232
   Brachi B, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1000940
   Bradshaw WE, 2008, MOL ECOL, V17, P157, DOI 10.1111/j.1365-294X.2007.03509.x
   Burghardt LT, 2016, NEW PHYTOL, V210, P564, DOI 10.1111/nph.13799
   Burghardt LT, 2016, AM J BOT, V103, P47, DOI 10.3732/ajb.1500286
   Capblancq T, 2020, ANNU REV ECOL EVOL S, V51, P245, DOI 10.1146/annurev-ecolsys-020720-042553
   CaraDonna PJ, 2014, P NATL ACAD SCI USA, V111, P4916, DOI 10.1073/pnas.1323073111
   Chevin LM, 2013, PHILOS T R SOC B, V368, DOI 10.1098/rstb.2012.0089
   Chevin LM, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000357
   Chew YH, 2012, NEW PHYTOL, V194, P654, DOI 10.1111/j.1469-8137.2012.04069.x
   Childs DZ, 2010, P ROY SOC B-BIOL SCI, V277, P3055, DOI 10.1098/rspb.2010.0707
   Cleland EE, 2007, TRENDS ECOL EVOL, V22, P357, DOI 10.1016/j.tree.2007.04.003
   Colautti RI, 2017, PHILOS T R SOC B, V372, DOI 10.1098/rstb.2016.0032
   Colautti RI, 2013, SCIENCE, V342, P364, DOI 10.1126/science.1242121
   Coughlan JM, 2021, P ROY SOC B-BIOL SCI, V288, DOI 10.1098/rspb.2021.0077
   de Villemereuil P, 2016, HEREDITY, V116, P249, DOI 10.1038/hdy.2015.93
   DeWitt TJ, 1998, TRENDS ECOL EVOL, V13, P77, DOI 10.1016/S0169-5347(97)01274-3
   Dittmar EL, 2014, MOL ECOL, V23, P4291, DOI 10.1111/mec.12857
   Donohue K, 2005, EVOLUTION, V59, P740, DOI 10.1111/j.0014-3820.2005.tb01752.x
   Donohue K, 2001, EVOLUTION, V55, P692, DOI 10.1554/0014-3820(2001)055[0692:ADIPIN]2.0.CO;2
   Donohue K, 2000, EVOLUTION, V54, P1956, DOI 10.1111/j.0014-3820.2000.tb01240.x
   Dorn LA, 2000, EVOLUTION, V54, P1982, DOI 10.1111/j.0014-3820.2000.tb01242.x
   Dray S, 2012, ECOL MONOGR, V82, P257, DOI 10.1890/11-1183.1
   Ehrlén J, 2020, ECOL LETT, V23, P653, DOI 10.1111/ele.13468
   Ehrlén J, 2015, OIKOS, V124, P92, DOI 10.1111/oik.01473
   Ehrlén J, 2009, AM NAT, V173, P819, DOI 10.1086/598492
   El-Assal SED, 2001, NAT GENET, V29, P435, DOI 10.1038/ng767
   El-Lithy ME, 2006, GENETICS, V172, P1867, DOI 10.1534/genetics.105.050617
   El-Lithy ME, 2004, PLANT PHYSIOL, V135, P444, DOI 10.1104/pp.103.036822
   Ellis N, 2012, ECOLOGY, V93, P156, DOI 10.1890/11-0252.1
   Ensing DJ, 2021, EVOLUTION, V75, P1681, DOI 10.1111/evo.14274
   Ensing DJ, 2019, NEW PHYTOL, V224, P1184, DOI 10.1111/nph.16009
   Exposito-Alonso M, 2019, NATURE, V573, P126, DOI 10.1038/s41586-019-1520-9
   Exposito-Alonso M, 2018, EVOLUTION, V72, P1570, DOI 10.1111/evo.13508
   Ferrero-Serrano A, 2019, NAT ECOL EVOL, V3, P274, DOI 10.1038/s41559-018-0754-5
   Fitzpatrick MC, 2015, ECOL LETT, V18, P1, DOI 10.1111/ele.12376
   Fournier-Level A, 2011, SCIENCE, V334, P86, DOI 10.1126/science.1209271
   Fournier-Level A, 2016, P NATL ACAD SCI USA, V113, pE2812, DOI 10.1073/pnas.1517456113
   Fournier-Level A, 2013, MOL ECOL, V22, P3552, DOI 10.1111/mec.12285
   François O, 2008, PLOS GENET, V4, DOI 10.1371/journal.pgen.1000075
   Franks SJ, 2007, P NATL ACAD SCI USA, V104, P1278, DOI 10.1073/pnas.0608379104
   Friedman J, 2013, NEW PHYTOL, V199, P571, DOI 10.1111/nph.12260
   GAVRILETS S, 1993, J EVOLUTION BIOL, V6, P49, DOI 10.1046/j.1420-9101.1993.6010049.x
   GAVRILETS S, 1993, J EVOLUTION BIOL, V6, P31, DOI 10.1046/j.1420-9101.1993.6010031.x
   Giakountis A, 2010, PLANT PHYSIOL, V152, P177, DOI 10.1104/pp.109.140772
   Gould BA, 2017, MOL ECOL, V26, P92, DOI 10.1111/mec.13643
   Granier C, 2002, ANN BOT-LONDON, V89, P595, DOI 10.1093/aob/mcf085
   Gremer JR, 2014, ECOL LETT, V17, P380, DOI 10.1111/ele.12241
   Hadfield JD, 2010, J STAT SOFTW, V33, P1, DOI 10.18637/jss.v033.i02
   Hall MC, 2007, P NATL ACAD SCI USA, V104, P13717, DOI 10.1073/pnas.0701936104
   Hall MC, 2006, EVOLUTION, V60, P2466, DOI 10.1554/05-688.1
   Hansen MC, 2000, INT J REMOTE SENS, V21, P1331, DOI 10.1080/014311600210209
   Hepworth J, 2020, ELIFE, V9, DOI 10.7554/eLife.57671
   Iglesias FM, 2015, PLOS GENET, V11, DOI 10.1371/journal.pgen.1004975
   Jenkitkonchai J, 2021, PLANT DIRECT, V5, DOI 10.1002/pld3.339
   Johanson U, 2000, SCIENCE, V290, P344, DOI 10.1126/science.290.5490.344
   Johny LC, 2022, J FOOD SCI TECH MYS, V59, P1769, DOI 10.1007/s13197-021-05188-0
   Joseph B, 2015, PLOS GENET, V11, DOI 10.1371/journal.pgen.1004779
   Kang HM, 2008, GENETICS, V178, P1709, DOI 10.1534/genetics.107.080101
   Kingsolver JG, 2017, P ROY SOC B-BIOL SCI, V284, DOI 10.1098/rspb.2017.0386
   Kinmonth-Schultz HA, 2016, NEW PHYTOL, V211, P208, DOI 10.1111/nph.13883
   Koornneef M, 2004, ANNU REV PLANT BIOL, V55, P141, DOI 10.1146/annurev.arplant.55.031903.141605
   Kooyers NJ, 2015, NEW PHYTOL, V206, P152, DOI 10.1111/nph.13153
   Korves TM, 2007, AM NAT, V169, pE141, DOI 10.1086/513111
   Kuhn M, 2008, J STAT SOFTW, V28, P1, DOI 10.18637/jss.v028.i05
   Kusmec A, 2017, NAT PLANTS, V3, P715, DOI 10.1038/s41477-017-0007-7
   Lachowiec J, 2016, ANN BOT-LONDON, V117, P795, DOI 10.1093/aob/mcv151
   Laitinen RAE, 2019, J EXP BOT, V70, P739, DOI 10.1093/jxb/ery404
   Le Corre V, 2002, MOL BIOL EVOL, V19, P1261, DOI 10.1093/oxfordjournals.molbev.a004187
   Lee CR, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14458
   Lempe J, 2005, PLOS GENET, V1, P109, DOI 10.1371/journal.pgen.0010006
   Lewandowska-Sabat AM, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01046
   Lovell JT, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2013.1043
   Lowry DB, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000500
   Martínez-Berdeja A, 2020, P NATL ACAD SCI USA, V117, P2526, DOI 10.1073/pnas.1912451117
   Méndez-Vigo B, 2011, PLANT PHYSIOL, V157, P1942, DOI 10.1104/pp.111.183426
   Mercer KL, 2019, GENET RESOUR CROP EV, V66, P27, DOI 10.1007/s10722-018-0693-7
   Mimura M, 2010, J EVOLUTION BIOL, V23, P249, DOI 10.1111/j.1420-9101.2009.01910.x
   Montesinos-Navarro A, 2012, EVOLUTION, V66, P3417, DOI 10.1111/j.1558-5646.2012.01689.x
   Montesinos-Navarro A, 2011, NEW PHYTOL, V189, P282, DOI 10.1111/j.1469-8137.2010.03479.x
   Munguía-Rosas MA, 2011, ECOL LETT, V14, P511, DOI 10.1111/j.1461-0248.2011.01601.x
   Murren CJ, 2015, HEREDITY, V115, P293, DOI 10.1038/hdy.2015.8
   Ordas B, 2008, GENET RES, V90, P385, DOI 10.1017/S0016672308009762
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   Purcell S, 2007, AM J HUM GENET, V81, P559, DOI 10.1086/519795
   Qian CJ, 2020, HEREDITY, V124, P62, DOI 10.1038/s41437-019-0264-5
   Rocabert C, 2020, EVOLUTION, V74, P2221, DOI 10.1111/evo.14083
   Ryan E. M., 2021, Climate Change Ecology, V2, DOI [10.1016/j.ecochg.2021.100021, DOI 10.1016/J.ECOCHG.2021.100021]
   Samis KE, 2019, AM J BOT, V106, P1068, DOI 10.1002/ajb2.1334
   Sasaki E, 2015, PLOS GENET, V11, DOI 10.1371/journal.pgen.1005597
   Shindo C, 2005, PLANT PHYSIOL, V138, P1163, DOI 10.1104/pp.105.061309
   Simons AM, 2011, P ROY SOC B-BIOL SCI, V278, P1601, DOI 10.1098/rspb.2011.0176
   Stinchcombe JR, 2004, P NATL ACAD SCI USA, V101, P4712, DOI 10.1073/pnas.0306401101
   Strobl C, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-307
   Suter L, 2014, PLANT PHYSIOL, V166, P1928, DOI 10.1104/pp.114.247346
   Taylor MA, 2019, P NATL ACAD SCI USA, V116, P17890, DOI 10.1073/pnas.1902731116
   Tikhonov M, 2020, P NATL ACAD SCI USA, V117, P8934, DOI 10.1073/pnas.1915537117
   Toomajian C, 2006, PLOS BIOL, V4, P732, DOI 10.1371/journal.pbio.0040137
   VANTIENDEREN PH, 1991, EVOLUTION, V45, P1317, DOI [10.1111/j.1558-5646.1991.tb02638.x, 10.2307/2409882]
   Venable DL, 2007, ECOLOGY, V88, P1086, DOI 10.1890/06-1495
   VIA S, 1985, EVOLUTION, V39, P505, DOI [10.2307/2408649, 10.1111/j.1558-5646.1985.tb00391.x]
   Wadgymar SM, 2018, NEW PHYTOL, V218, P517, DOI 10.1111/nph.15029
   Weinig C, 2002, GENETICS, V162, P1875
   Wilczek AM, 2010, PHILOS T R SOC B, V365, P3129, DOI 10.1098/rstb.2010.0128
   Wilczek AM, 2014, P NATL ACAD SCI USA, V111, P7906, DOI 10.1073/pnas.1406314111
   Wilczek AM, 2009, SCIENCE, V323, P930, DOI 10.1126/science.1165826
   Willis CG, 2008, P NATL ACAD SCI USA, V105, P17029, DOI 10.1073/pnas.0806446105
   Wiszniewski AAG, 2014, J EXP BOT, V65, P6723, DOI 10.1093/jxb/eru397
   Zan YJ, 2019, MOL BIOL EVOL, V36, P141, DOI 10.1093/molbev/msy203
   Zhang L, 2020, PLANT J, V103, P154, DOI 10.1111/tpj.14716
   Zhou X, 2012, NAT GENET, V44, P821, DOI 10.1038/ng.2310
NR 135
TC 16
Z9 19
U1 3
U2 64
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0028-646X
EI 1469-8137
J9 NEW PHYTOL
JI New Phytol.
PD APR
PY 2022
VL 234
IS 2
BP 719
EP 734
DI 10.1111/nph.17999
EA FEB 2022
PG 16
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA ZV1GN
UT WOS:000759484500001
PM 35090191
DA 2025-01-10
ER

PT J
AU Gao, B
   Zhou, YK
AF Gao, Bin
   Zhou, Yuekuan
TI A co-simulation platform and climate-adaptive optimisation for
   cross-scale PEMFC combined heat and power supply in buildings with
   semi-empirical surrogate models
SO APPLIED ENERGY
LA English
DT Article
DE Hydrogen energy; PEMFC CHP system; Cross-scale modeling; Co-simulation
   analysis; Climate adaption
ID FUEL-CELL; MULTIOBJECTIVE OPTIMIZATION; WATER
AB Due to the high energy density and clean byproduct water of hydrogen energy, proton exchange membrane fuel cell (PEMFC) combined heat and power (CHP) system has shown promising prospects in low-carbon building transformation. However, comprehensive effects of reactant gas flow on energy loss and output performance in the PEMFC CHP system have not been accurately analyzed. Techno-economic feasibility of the PEMFC CHP system has not been studied for residential building applications in different climates. In this study, with the quantification of energy loss by exhausted gas flow of a PEMFC CHP system, a cross-scale model with cascade levels of cell, stack and system has been developed through a co-simulated multi-software platform of ANSYS Fluent-MATLAB-TRNSYS. Semi-empirical surrogate models are developed to characterize the PEMFC stack performance and interact with balance-of-plant (BOP) component models, so as to enable the co-simulation in both PEMFC stack component and CHP system with synchronized time step. In-field experiments are conducted to verify the model accuracy and energy balance of the H2 2-to-combined heat and power conversion process. Effects of gas flow on energy loss and power outputs have been investigated throughout the cascade energy conversions. Climate-adaptive operation with flexible heating- and electricity-dominated power outputs is provided by adjustable stoichiometric ratios, together with techno-economic feasibility in extreme weather scenarios. Results show that, the developed cross-scale model is accurate with R-square values of power fittings above 0.969. Due to the dominated heat loss by exhausted gas flow over the increased heat along with the electric power increase, the PEMFC stack thermal power output will decline with stoichiometric ratio rise in low loading conditions. Effect trends of stoichiometric ratios on reacted H2 2 mass consumption and BOP energy consumption are opposite. Furthermore, under the intercomparison between electricity-dominated output and heating-dominated output strategies, the PEMFC CHP system of electricity-dominated output could save 0.284 kg H2 2 fuel with slight BOP energy variation of 189.046 kJ daily in Guangzhou (extreme hot climate), while save 21,585 kJ BOP energy and consume extra 0.159 kg H2 2 fuel in heating-dominated output in Beijing (extreme cold climate). The research can provide a co-simulation technique for cross-scale analysis of the PEMFC CHP system, and give a guidance for control strategy development for climate adaptation and energy efficiency improvement.
C1 [Gao, Bin; Zhou, Yuekuan] Hong Kong Univ Sci & Technol Guangzhou, Sustainable Energy & Environm Thrust, Funct Hub, Guangzhou 511400, Guangdong, Peoples R China.
   [Zhou, Yuekuan] Hong Kong Univ Sci & Technol, Dept Mech & Aerosp Engn, Clear Water Bay, Hong Kong, Peoples R China.
   [Zhou, Yuekuan] HKUST Shenzhen Hong Kong Collaborat Innovat Res In, Shenzhen, Futian, Hong Kong, Peoples R China.
   [Zhou, Yuekuan] Hong Kong Univ Sci & Technol, Div Emerging Interdisciplinary Areas, Clear Water Bay, Hong Kong, Peoples R China.
C3 Hong Kong University of Science & Technology (Guangzhou); Hong Kong
   University of Science & Technology; Hong Kong University of Science &
   Technology
RP Zhou, YK (corresponding author), Hong Kong Univ Sci & Technol Guangzhou, Sustainable Energy & Environm Thrust, Funct Hub, Guangzhou 511400, Guangdong, Peoples R China.
EM yuekuanzhou@hkust-gz.edu.cn
RI Zhou, Yuekuan/ABE-4194-2020
FU HKUST [GTF202220034]; Hong Kong University of Science and Technology
   (Guangzhou) startup grant [R00079-2001]; Project of Hetao Shenzhen-Hong
   Kong Science and Technology Innovation Cooperation Zone [G0101000059]; 
   [HZQB-KCZYB-2020083]
FX Hong Kong Special Administrative Region 'Developing low-cost PEM
   electrolysis at scale by optimizing transport components and electrode
   interfaces' (GTF202220034, Y.Z.) . HKUST (GZ) -enterprise cooperation
   project (R00017-2001, Y.Z.) , HKUST (GZ) -enterprise cooperation
   proj-ect 'Research on Development of Vehicle-City-Network and Electric
   Vehicle Charging Pile Industry' (R00114-2001, Y.Z.) . HKUST (GZ)
   -enterprise cooperation project (R00017-2001, Y.Z.) , HKUST (GZ)
   -enterprise cooperation project 'Optimization Design of Proton Ex-change
   Membrane Fuel Cell Plate' (R00072-2001, Y.Z.) , HKUST (GZ) -enterprise
   cooperation project 'Next-generation radiant cooling for built
   environment' (R00079-2001, Y.Z.) . This research is supported by The
   Hong Kong University of Science and Technology (Guangzhou) startup grant
   (G0101000059, Y.Z.) . This work was also supported in part by the
   Project of Hetao Shenzhen-Hong Kong Science and Technology Innovation
   Cooperation Zone (HZQB-KCZYB-2020083, Y.Z.) .r Hong Kong Special
   Administrative Region 'Developing low-cost PEM electrolysis at scale by
   optimizing transport components and electrode interfaces' (GTF202220034,
   Y.Z.) . HKUST (GZ) -enterprise cooperation project (R00017-2001, Y.Z.) ,
   HKUST (GZ) -enterprise cooperation proj-ect 'Research on Development of
   Vehicle-City-Network and Electric Vehicle Charging Pile Industry'
   (R00114-2001, Y.Z.) . HKUST (GZ) -enterprise cooperation project
   (R00017-2001, Y.Z.) , HKUST (GZ) -enterprise cooperation project
   'Optimization Design of Proton Ex-change Membrane Fuel Cell Plate'
   (R00072-2001, Y.Z.) , HKUST (GZ) -enterprise cooperation project
   'Next-generation radiant cooling for built environment' (R00079-2001,
   Y.Z.) . This research is supported by The Hong Kong University of
   Science and Technology (Guangzhou) startup grant (G0101000059, Y.Z.) .
   This work was also supported in part by the Project of Hetao
   Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone
   (HZQB-KCZYB-2020083, Y.Z.) .
CR Bornapour M, 2019, RENEW ENERG, V130, P1049, DOI 10.1016/j.renene.2018.06.113
   Budak Y, 2018, ENERG CONVERS MANAGE, V160, P486, DOI 10.1016/j.enconman.2018.01.077
   Calise F, 2017, APPL ENERG, V192, P530, DOI 10.1016/j.apenergy.2016.08.018
   Chen B, 2023, ENERGY, V285, DOI 10.1016/j.energy.2023.128933
   Chen X, 2022, ENERG CONVERS MANAGE, V269, DOI 10.1016/j.enconman.2022.116082
   Ettihir K, 2014, INT J HYDROGEN ENERG, V39, P21165, DOI 10.1016/j.ijhydene.2014.10.045
   Fan LH, 2017, ENERG CONVERS MANAGE, V150, P763, DOI 10.1016/j.enconman.2017.08.034
   Fan LX, 2022, INT J HYDROGEN ENERG, V47, P4033, DOI 10.1016/j.ijhydene.2021.11.012
   Fan LX, 2021, ENERG CONVERS MANAGE, V243, DOI 10.1016/j.enconman.2021.114404
   Fan XC, 2020, ENERGY REP, V6, P325, DOI 10.1016/j.egyr.2020.01.009
   Gabriel RD, 2022, ENERG CONVERS MANAGE, V269, DOI 10.1016/j.enconman.2022.116042
   Gao B, 2024, ENERG CONVERS MANAGE, V301, DOI 10.1016/j.enconman.2023.118003
   Hietaharju P, 2021, APPL ENERG, V295, DOI 10.1016/j.apenergy.2021.116962
   Hou QL, 2022, CASE STUD THERM ENG, V36, DOI 10.1016/j.csite.2022.102176
   Huang Z, 2024, INT J HYDROGEN ENERG, V53, P1107, DOI 10.1016/j.ijhydene.2023.12.118
   Ionescu V, 2017, ENRGY PROCED, V112, P390, DOI 10.1016/j.egypro.2017.03.1085
   Jannelli E, 2013, APPL ENERG, V108, P82, DOI 10.1016/j.apenergy.2013.02.067
   Kwan TH, 2019, APPL ENERG, V251, DOI 10.1016/j.apenergy.2019.113318
   Lei L, 2022, ENERG CONVERS MANAGE, V251, DOI 10.1016/j.enconman.2021.114991
   Lu XY, 2023, ENERG CONVERS MANAGE, V292, DOI 10.1016/j.enconman.2023.117408
   Luo YQ, 2014, INT J HEAT MASS TRAN, V77, P489, DOI 10.1016/j.ijheatmasstransfer.2014.05.050
   Lyu X, 2024, APPL ENERG, V356, DOI 10.1016/j.apenergy.2023.122337
   Marouani I., 2024, Clean Energy Science and Technology, V2, P164, DOI [10.18686/cest.v2i2.164, DOI 10.18686/CEST.V2I2.164]
   Medghalchi Z, 2023, ENERG CONVERS MANAGE, V294, DOI 10.1016/j.enconman.2023.117594
   Min CH, 2022, ENERG CONVERS MANAGE, V259, DOI 10.1016/j.enconman.2022.115566
   Montazerinejad H, 2022, SUSTAIN ENERGY TECHN, V51, DOI 10.1016/j.seta.2021.101885
   Peng M, 2022, ELECTROCHIM ACTA, V412, DOI 10.1016/j.electacta.2022.140154
   Romdhane J, 2018, ENERG BUILDINGS, V166, P93, DOI 10.1016/j.enbuild.2018.01.054
   Rosli MI, 2022, ENERGIES, V15, DOI 10.3390/en15217960
   Song AY, 2024, NAT COMMUN, V15, DOI 10.1038/s41467-024-49868-9
   Song AY, 2023, J CLEAN PROD, V415, DOI 10.1016/j.jclepro.2023.137797
   Wang BW, 2018, ENERG CONVERS MANAGE, V171, P1463, DOI 10.1016/j.enconman.2018.06.091
   Wang HN, 2022, J POWER SOURCES, V552, DOI 10.1016/j.jpowsour.2022.232224
   Wang ZX, 2023, ENERG CONVERS MANAGE, V277, DOI 10.1016/j.enconman.2022.116600
   Webb J, 2023, RENEW ENERG, V219, DOI 10.1016/j.renene.2023.119236
   Wei PN, 2023, APPL ENERG, V352, DOI 10.1016/j.apenergy.2023.121962
   Xia LC, 2021, APPL ENERG, V300, DOI 10.1016/j.apenergy.2021.117357
   Xiao CW, 2023, ENERG CONVERS MANAGE, V292, DOI 10.1016/j.enconman.2023.117417
   Xu YM, 2021, ENERG CONVERS MANAGE, V248, DOI 10.1016/j.enconman.2021.114791
   Yang F, 2018, ENRGY PROCED, V152, P83, DOI 10.1016/j.egypro.2018.09.063
   Yang Q, 2022, TRANSIENT MODEL DYNA, V19, P1543
   Yang QW, 2024, INT J HYDROGEN ENERG, V50, P1358, DOI 10.1016/j.ijhydene.2023.07.013
   Yang QW, 2022, INT J GREEN ENERGY, V19, P1543, DOI 10.1080/15435075.2021.2013848
   Yang Y, 2020, INT J HYDROGEN ENERG, V45, P6970, DOI 10.1016/j.ijhydene.2019.12.189
   Yang ZR, 2019, ENERGY, V183, P462, DOI 10.1016/j.energy.2019.06.148
   Yin RJ, 2024, RENEW ENERG, V221, DOI 10.1016/j.renene.2023.119693
   Yuan Y, 2024, APPL ENERG, V353, DOI 10.1016/j.apenergy.2023.122066
   Zhang J, 2024, INT J HYDROGEN ENERG, V50, P1036, DOI 10.1016/j.ijhydene.2023.10.024
   Zhang J, 2023, ENERGY, V269, DOI 10.1016/j.energy.2023.126709
   Zhang J, 2022, INT J GREEN ENERGY, V19, P410, DOI 10.1080/15435075.2021.1946818
   Zhang SY, 2022, INT J HYDROGEN ENERG, V47, P36254, DOI 10.1016/j.ijhydene.2022.08.185
   Zhang X., 2024, Cell Reports Physical Science
   Zhang Y, 2024, ENERG CONVERS MANAGE, V299, DOI 10.1016/j.enconman.2023.117905
   Zhao JJ, 2023, APPL ENERG, V338, DOI 10.1016/j.apenergy.2023.120921
   Zheng J, 2024, Clean Energy Science and Technology, V2, P96
   Zhou L, 2024, ENERG CONVERS MANAGE, V300, DOI 10.1016/j.enconman.2023.117984
   Zhou L, 2023, ENERG CONVERS MANAGE, V277, DOI 10.1016/j.enconman.2022.116610
   Zhou YK, 2024, APPL ENERG, V371, DOI 10.1016/j.apenergy.2024.123665
   Zhou YK, 2024, RENEW SUST ENERG REV, V192, DOI 10.1016/j.rser.2023.114184
   Zhou YK, 2022, ENERGY AI, V10, DOI 10.1016/j.egyai.2022.100182
   Zhou YK, 2022, RENEW SUST ENERG REV, V162, DOI 10.1016/j.rser.2022.112444
   Zou WJ, 2021, ENERGY, V229, DOI 10.1016/j.energy.2021.120698
NR 62
TC 0
Z9 0
U1 22
U2 22
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0306-2619
EI 1872-9118
J9 APPL ENERG
JI Appl. Energy
PD DEC 1
PY 2024
VL 375
AR 124073
DI 10.1016/j.apenergy.2024.124073
EA AUG 2024
PG 25
WC Energy & Fuels; Engineering, Chemical
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Energy & Fuels; Engineering
GA C8J6P
UT WOS:001291780100001
DA 2025-01-10
ER

PT J
AU Maina, P
   Parádi-Dolgos, A
AF Maina, Purity
   Paradi-Dolgos, Anett
TI The Effectiveness of Climate Adaptation Finance and Readiness on
   Vulnerability in African Economies
SO CLIMATE
LA English
DT Article
DE climate adaptation finance; climate readiness; climate vulnerability;
   panel-corrected standard error analysis; Africa
ID LAGRANGE MULTIPLIER TEST; TIME-SERIES; UNIT-ROOT; GOVERNANCE;
   COINTEGRATION; MITIGATION; SYSTEMS; IMPACT
AB Addressing climate vulnerability remains a priority for economies globally. This study used the panel-corrected standard error (PCSE) methodology to investigate the impact of adaptation financing on climate vulnerability. This analysis examined 52 African countries from 2012 to 2021 while considering their climate adaptation readiness. The impact was also assessed based on the Human Development Index (HDI) categories to reflect different levels of development. The findings showed that adaptation finance considerably influenced climate vulnerability reduction in Africa, particularly in nations with a moderate HDI. However, most countries still need higher levels of adaptation financing, resulting in a small impact on vulnerability reduction. Furthermore, the impact of readiness measures differed by HDI category. Economic and social climate readiness strongly impacted climate vulnerability in high-HDI nations, but governance preparedness was more critical in low-HDI countries. Based on the empirical facts, two policy proposals emerge. First, it is critical to reconsider the distribution of adaptation financing to reduce disparities and effectively alleviate climate vulnerability. Moreover, African economies should consider implementing innovative localized financing mechanisms to mobilize extra adaptation finance. Second, African governments should customize climate readiness interventions based on their HDI levels to improve the achievement of a positive impact on climate vulnerability.
C1 [Maina, Purity] Hungarian Univ Agr & Life Sci, Doctoral Sch Econ & Reg Sci, Pater Karoly u 1, H-2100 Godollo, Hungary.
   [Maina, Purity] Strathmore Univ, Business Sch, Nairobi, Kenya.
   [Paradi-Dolgos, Anett] Hungarian Univ Agr & Life Sci, Inst Rural Dev & Sustainable Econ, Dept Investment Finance & Accounting, Kaposvar Campus, H-7400 Kaposvar, Hungary.
C3 Hungarian University of Agriculture & Life Sciences; Strathmore
   University; Hungarian University of Agriculture & Life Sciences
RP Maina, P (corresponding author), Hungarian Univ Agr & Life Sci, Doctoral Sch Econ & Reg Sci, Pater Karoly u 1, H-2100 Godollo, Hungary.; Maina, P (corresponding author), Strathmore Univ, Business Sch, Nairobi, Kenya.
EM maina.purity.watetu@phd.uni-mate.hu;
   paradi-dolgos.anett.katalin@uni-mate.hu
OI Maina, Purity Watetu/0000-0002-8673-611X
FU Hungarian University of Agriculture and Life Sciences (MATE); Stipendium
   Hungaricum Scholarship
FX We acknowledge the support offered by the Hungarian University of
   Agriculture and Life Sciences (MATE) and the Stipendium Hungaricum
   Scholarship.
CR Abdul-Razak M, 2017, CLIM RISK MANAG, V17, P104, DOI 10.1016/j.crm.2017.06.001
   Adhikari U, 2015, FOOD ENERGY SECUR, V4, P110, DOI 10.1002/fes3.61
   Adom PK, 2021, J ENVIRON MANAGE, V293, DOI 10.1016/j.jenvman.2021.112923
   African Development Bank, Climate Change in Africa
   Ahmad Z., 2012, Journal of Sustainable Development, V5, P15, DOI [10.5539/jsd.v5n11p15, DOI 10.5539/JSD.V5N11P15]
   Alaeddine H., 2023, BAU J. Creat. Sustain. Dev, V4, P10, DOI [10.54729/2789-8334.1111, DOI 10.54729/2789-8334.1111]
   Amegavi GB, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103325
   [Anonymous], 2016, Climate Change Adaptation Readiness in the ASEAN Countries
   [Anonymous], UNFCCC Glossary of Key Terms
   [Anonymous], Climate Finance and the USD 100 Billion Goal-OECD
   [Anonymous], 2008, REPORT C PARTIES ITS
   [Anonymous], WORLD BANK OPEN DATA
   [Anonymous], 2015, The Notre Dame-Global Adaptation Index (ND-GAIN) Country Index
   [Anonymous], 2007, CLIMATE CHANGE IMPAC
   [Anonymous], WORLD DEV INDICATORS
   Appiah-Otoo I, 2023, ENERG ENVIRON-UK, V34, P3080, DOI 10.1177/0958305X221118877
   Asian Development Bank, 2023, Climate Finance Landscape of Asia and the Pacific
   Attoh EMNAN, 2022, CLIM RISK MANAG, V37, DOI 10.1016/j.crm.2022.100447
   Ayanlade A, 2023, CLIM RISK MANAG, V40, DOI 10.1016/j.crm.2023.100497
   Bai JS, 2021, EMPIR ECON, V60, P309, DOI 10.1007/s00181-020-01977-2
   Baltagi B.H., 2021, Econometric Analysis of Panel Data, P1
   Baltagi BH, 2012, J ECONOMETRICS, V170, P164, DOI 10.1016/j.jeconom.2012.04.004
   Banerjee A, 1999, OXFORD B ECON STAT, V61, P607, DOI 10.1111/1468-0084.0610s1607
   Banerjee S, 2019, CLIMATIC CHANGE, V157, P587, DOI 10.1007/s10584-019-02572-w
   Barnett J, 2020, PROG HUM GEOG, V44, P1172, DOI 10.1177/0309132519898254
   Barrett S, 2015, GLOBAL ENVIRON POLIT, V15, P118, DOI 10.1162/GLEP_a_00314
   Basty N, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141710835
   BECK N, 1995, AM POLIT SCI REV, V89, P634, DOI 10.2307/2082979
   Betila R.R., 2021, SN Business Economics, V1, DOI DOI 10.1007/S43546-021-00143-9
   Born B, 2016, ECONOMET REV, V35, P1290, DOI 10.1080/07474938.2014.976524
   Boswell M.R., 2019, Climate Action Planning: A Guide to Creating Low-Carbon, Resilient Communities, P172
   Bowen A, 2012, CLIMATIC CHANGE, V113, P95, DOI 10.1007/s10584-011-0346-8
   BREUSCH TS, 1980, REV ECON STUD, V47, P239, DOI 10.2307/2297111
   Brooks C., 2008, Introductory econometrics for finance, DOI [DOI 10.1017/CBO9780511841644, 10.1017/cbo9780511841644]
   Burton AJ, 2014, GLOBAL HEALTH ACTION, V7, P1, DOI 10.3402/gha.v7.23903
   Cappelli F, 2023, ECON POLIT-ITALY, V40, P1051, DOI 10.1007/s40888-023-00300-3
   Chen C, 2018, MITIG ADAPT STRAT GL, V23, P101, DOI 10.1007/s11027-016-9731-y
   Chepkoech W, 2020, CLIM RISK MANAG, V27, DOI 10.1016/j.crm.2019.100204
   Conevska A, 2019, CLIM POLICY, V19, P43, DOI 10.1080/14693062.2018.1466682
   Das M., 2022, Sustain. Dev. Res, V4, pp42, DOI [10.30560/sdr.v4n1p42, DOI 10.30560/SDR.V4N1P42]
   Dauda L, 2019, ENVIRON SCI POLLUT R, V26, P15028, DOI 10.1007/s11356-019-04891-y
   Dhar T., 2021, Small Island Developing States: Vulnerability and Resilience under Climate Change, P329, DOI DOI 10.1007/978-3-030-82774-8_15
   Dlugolecki A, 2003, GENEVA PAP R I-ISS P, V28, P382, DOI 10.1111/1468-0440.00232
   Doshi D, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12104308
   Drukker DM, 2003, STATA J, V3, P168, DOI 10.1177/1536867X0300300206
   Du KR, 2019, ENERG POLICY, V131, P240, DOI 10.1016/j.enpol.2019.04.033
   Eriksen S, 2021, WORLD DEV, V141, DOI 10.1016/j.worlddev.2020.105383
   Eugenio D.-B., 2015, Macroeconomics, Agriculture, and Food Security: A Guide to Policy Analysis in Developing Countries
   Fakhruddin B, 2020, CLIMATE EXTREMES AND THEIR IMPLICATIONS FOR IMPACT AND RISK ASSESSMENT, P217, DOI 10.1016/B978-0-12-814895-2.00012-4
   Lopera CCF, 2022, DISASTER PREV MANAG, V31, P550, DOI 10.1108/DPM-05-2021-0185
   Formetta G, 2019, GLOBAL ENVIRON CHANG, V57, DOI 10.1016/j.gloenvcha.2019.05.004
   Freitag C, 2021, PATTERNS, V2, DOI 10.1016/j.patter.2021.100340
   Glaas E, 2022, ENVIRON POLICY GOV, V32, P179, DOI 10.1002/eet.1982
   Global Center on Adaptation, 2022, Adaptation Finance Flows in Africa
   Global Center on Adaptation, 2023, State and Trends in Climate Adaptation Finance 2023
   Halkos G, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12114438
   Hamilton M, 2018, POLICY STUD J, V46, P222, DOI 10.1111/psj.12224
   Herwartz H, 2018, STATA J, V18, P184, DOI 10.1177/1536867X1801800111
   Hothorn T., 2022, R Package Version 0.9-40
   Jafino B A., 2020, Revised estimates of the impact of climate change on extreme poverty by 2030
   Jalil A, 2019, ENVIRONMENTAL KUZNETS CURVE (EKC): A MANUAL, P85, DOI 10.1016/B978-0-12-816797-7.00008-4
   Jubeh G, 2012, WATER RESOUR MANAG, V26, P4147, DOI 10.1007/s11269-012-0137-7
   Kim H, 2021, REV POLICY RES, V38, P222, DOI 10.1111/ropr.12417
   Klein R., 2005, Technical Paper 3
   Lancelot M.L., 2022, R Package Version 0.4-1.2
   Leal W, 2021, SCI TOTAL ENVIRON, V779, DOI 10.1016/j.scitotenv.2021.146414
   Lin ZQ, 2003, QUAL QUANT, V37, P151, DOI 10.1023/A:1023367205756
   Lombardi D, 2022, EDUC DEV PSYCHOL, V39, P1, DOI 10.1080/20590776.2021.2012834
   Mabaso MLH, 2018, J EPIDEMIOL GLOB HEA, V8, P77, DOI 10.2991/j.jegh.2018.09.001
   Malik IH, 2024, CLIMATE, V12, DOI 10.3390/cli12020024
   Marino E, 2012, GLOBAL ENVIRON CHANG, V22, P323, DOI 10.1016/j.gloenvcha.2012.03.001
   Mboya A., 2018, UCLA J ENV LAW POLIC, V36, P79, DOI DOI 10.5070/L5361039901
   Mesfin D, 2020, CLIMATE, V8, DOI 10.3390/cli8100106
   Michalak JL, 2017, FRONT ECOL ENVIRON, V15, P367, DOI 10.1002/fee.1516
   Morse S, 2023, SOC INDIC RES, V170, P1035, DOI 10.1007/s11205-023-03230-6
   Muiderman K, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.673
   Mungai E.M., 2021, AFRICAN HDB CLIMATE, P2063, DOI [10.1007/978-3-030-45106-6_172, DOI 10.1007/978-3-030-45106-6_172]
   Nagy GJ, 2019, REG STUD MAR SCI, V29, DOI 10.1016/j.rsma.2019.100683
   Nauges C, 2021, ENVIRON DEV SUSTAIN, V23, P16481, DOI 10.1007/s10668-021-01327-x
   Naylor A, 2020, ONE EARTH, V2, P444, DOI 10.1016/j.oneear.2020.04.011
   Nhemachena C, 2020, WATER-SUI, V12, DOI 10.3390/w12102673
   O'Neill BC, 2020, NAT SUSTAIN, V3, P520, DOI 10.1038/s41893-020-0512-y
   Omukuti J, 2022, CLIM POLICY, V22, P1225, DOI 10.1080/14693062.2022.2093152
   Osakede U.A., 2023, Res. Glob, V6, P100135, DOI [10.1016/j.resglo.2023.100135, DOI 10.1016/J.RESGLO.2023.100135]
   Papathoma-Köhle M, 2019, INT J DISAST RISK RE, V36, DOI 10.1016/j.ijdrr.2019.101103
   Phillips P.C.B., 2003, Econom. J., V6, P217, DOI [10.1111/1368-423X.00108, DOI 10.1111/1368-423X.00108]
   PHILLIPS PCB, 1988, BIOMETRIKA, V75, P335, DOI 10.1093/biomet/75.2.335
   Nguyen QA, 2017, CLIM DEV, V9, P258, DOI 10.1080/17565529.2016.1146118
   Rahman Syed Mahbubur, 2015, International Journal of Green Economics, V9, P199
   Ranasinghe RDAK, 2023, AGR SYST, V206, DOI 10.1016/j.agsy.2023.103609
   Riffenburgh R.H., 2012, Statistics in Medicine, P535, DOI [DOI 10.1016/B978-0-12-384864-2.00025-1, DOI 10.1097/PRS.0000000000004046]
   Saeed S, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15054145
   Santos-Lacueva R, 2019, J SUSTAIN TOUR, V27, P1217, DOI 10.1080/09669582.2019.1607865
   Sarkodie SA, 2019, SCI TOTAL ENVIRON, V656, P150, DOI 10.1016/j.scitotenv.2018.11.349
   Sarun S, 2018, ENVIRON MONIT ASSESS, V190, DOI 10.1007/s10661-018-7095-3
   Savvidou G, 2021, CLIM POLICY, V21, P1020, DOI 10.1080/14693062.2021.1978053
   Scandurra G, 2020, J CLEAN PROD, V256, DOI 10.1016/j.jclepro.2020.120330
   Scott D, 2019, ANN TOURISM RES, V77, P49, DOI 10.1016/j.annals.2019.05.007
   Shrestha M.B., 2018, The Journal of Finance and Data Science, V4, P71, DOI DOI 10.1016/J.JFDS.2017.11.001
   Skovgaard J, 2021, ECONOMISATION OF CLIMATE CHANGE, P119, DOI 10.1017/9781108688048
   Statista Africa, 2021, Agriculture as GDP Share by Country
   Surjan A, 2016, DISAST RISK REDUCT, P37, DOI 10.1007/978-4-431-55078-5_3
   Thangjam U, 2023, CLIM RISK MANAG, V40, DOI 10.1016/j.crm.2023.100519
   Theokritoff E, 2023, CLIM RISK MANAG, V39, DOI 10.1016/j.crm.2023.100483
   Thomas K, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.565
   Tilleard S, 2016, CLIMATIC CHANGE, V137, P575, DOI 10.1007/s10584-016-1699-9
   Tobechukwu N M., 2020, Quarterly Journal of Econometrics Research, V6, P1, DOI DOI 10.18488/JOURNAL.88.2020.61.1.11
   Trell EM, 2019, PLAN THEORY PRACT, V20, P376, DOI 10.1080/14649357.2019.1629573
   Turner MD, 2016, GEOFORUM, V68, P29, DOI 10.1016/j.geoforum.2015.11.006
   United Nations Development Programme, 2018, Technical Note 1. Human Development Index, P1
   United Nations Environment Programme, 2022, Adaptation Gap Report 2022: Too Little, Too Slow-Climate Adaptation Failure Puts World at Risk
   Wang P, 2020, SUSTAIN CITIES SOC, V54, DOI 10.1016/j.scs.2019.102004
   Warren RF, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2017.0295
   Weiler F, 2018, WORLD DEV, V104, P65, DOI 10.1016/j.worlddev.2017.11.001
   Williamson T, 2012, FOREST POLICY ECON, V15, P160, DOI 10.1016/j.forpol.2010.04.003
   Wu JD, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaabd7
NR 116
TC 0
Z9 0
U1 1
U2 2
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2225-1154
J9 CLIMATE
JI Climate
PD MAY
PY 2024
VL 12
IS 5
AR 59
DI 10.3390/cli12050059
PG 23
WC Meteorology & Atmospheric Sciences
WE Emerging Sources Citation Index (ESCI)
SC Meteorology & Atmospheric Sciences
GA SE0J3
UT WOS:001232661000001
OA gold
DA 2025-01-10
ER

PT J
AU Duan, MF
   Sun, HL
   Wu, YF
   Wu, XY
   Lin, BR
AF Duan Meng-fan
   Sun Hong-li
   Wu Yi-fan
   Wu Xiao-ying
   Lin Bo-rong
TI Climate adaptive thermal characteristics of envelope of residential
   passive house in China
SO JOURNAL OF CENTRAL SOUTH UNIVERSITY
LA English
DT Article
DE passive house; envelope thermal characteristics; climate adaptability;
   heating and cooling energy consumption
ID ENERGY-CONSUMPTION; SENSITIVITY-ANALYSIS; HEAT; PERFORMANCE;
   ENVIRONMENT; SIMULATION
AB Passive house has been constructed in China on a large-scale over the past couple years for its great energy saving potential. However, research indicates that there is a significant discrepancy in energy performance for heating and cooling between passive houses in different climate zones. Therefore, this research develops a comparative analysis on the energy saving potential of passive houses with the conventional around China. A sensitivity analysis of thermal characteristics of building envelope (insulation of exterior walls and windows, and airtightness) on energy consumption is further carried out to improve the climate adaptability of passive house. Moreover, the variation of energy consumption under different heat gain intensity is also compared, to evaluate the effects of envelope thermal characteristics comprehensively. Results suggest that the decrease of exterior wall insulation leads to the greatest increase in energy consumption, especially in severe cold zone in China. However, the optimal insulation may change with the internal heat gain intensity, for instance, the decrease of insulation (from 0.4 to 1.0 W/(m(2)center dot K)) could reduce the energy consumption by 4.65 kW center dot h/(m(2)center dot a) when the heat gain increases to 20 W/m(2) for buildings in Hot Summer and Cold Winter zone in China.
C1 [Duan Meng-fan; Wu Yi-fan; Wu Xiao-ying; Lin Bo-rong] Tsinghua Univ, Dept Bldg Sci, Beijing 100084, Peoples R China.
   [Duan Meng-fan; Sun Hong-li; Wu Yi-fan; Wu Xiao-ying; Lin Bo-rong] Tsinghua Univ, Minist Educ, Key Lab Eco Planning & Green Bldg, Beijing 100084, Peoples R China.
   [Sun Hong-li] Sichuan Univ, Coll Architecture & Environm, Chengdu 610065, Peoples R China.
C3 Tsinghua University; Tsinghua University; Sichuan University
RP Lin, BR (corresponding author), Tsinghua Univ, Dept Bldg Sci, Beijing 100084, Peoples R China.; Lin, BR (corresponding author), Tsinghua Univ, Minist Educ, Key Lab Eco Planning & Green Bldg, Beijing 100084, Peoples R China.
EM linbr@tsinghua.edu.cn
RI Duan, Mengfan/IQS-7649-2023; wu, yiping/JEF-4104-2023
FU National Science Foundation for Distinguished Young Scholars of China
   [51825802]; National Key R&D Program of China [2018YFE0106100]
FX Project(51825802) supported by the National Science Foundation for
   Distinguished Young Scholars of China; Project (2018YFE0106100)
   supported by the National Key R&D Program of China
CR Ahmed K, 2017, SUSTAIN CITIES SOC, V35, P134, DOI 10.1016/j.scs.2017.07.010
   [Anonymous], GBT513502019
   [Anonymous], 752012 JGJ
   [Anonymous], 262018 JGJ
   [Anonymous], 71062008 GBT
   [Anonymous], 1342010 JGJ
   [Anonymous], 2018, RES OUTER ENCLOSURE
   Ben Romdhane S, 2020, J BUILD ENG, V32, DOI 10.1016/j.jobe.2020.101563
   Blight TS, 2013, ENERG BUILDINGS, V66, P183, DOI 10.1016/j.enbuild.2013.06.030
   Chen SQ, 2008, ENERG BUILDINGS, V40, P654, DOI 10.1016/j.enbuild.2007.04.022
   China association building energy efficiency, 2020, CHIN BUILD EN CONS A
   Cuce E, 2016, RENEW SUST ENERG REV, V54, P1345, DOI 10.1016/j.rser.2015.10.134
   Cui HX, 2019, ENERG BUILDINGS, V199, P427, DOI 10.1016/j.enbuild.2019.07.004
   Cui Y., 2017, HEATING VENTILATING, V47, P1
   Dabaieh M, 2020, ENERG CONVERS MANAGE, V209, DOI 10.1016/j.enconman.2020.112555
   Davies M, 2012, ENERG BUILDINGS, V46, P80, DOI 10.1016/j.enbuild.2011.10.043
   Feist W, 2005, ENERG BUILDINGS, V37, P1186, DOI 10.1016/j.enbuild.2005.06.020
   Figueiredo A, 2016, BUILD ENVIRON, V103, P276, DOI 10.1016/j.buildenv.2016.03.031
   Firlag S, 2013, ENERG BUILDINGS, V64, P372, DOI 10.1016/j.enbuild.2013.04.024
   Fu X., 2019, Research on Passive Energy-Saving Techniques for Ultra Low-Energy Residential Buildings in Hot Summer and Cold Winter Zone
   Goncalves V, 2021, ENERG BUILDINGS, V234, DOI 10.1016/j.enbuild.2020.110701
   Harkouss F, 2018, ENERGY, V165, P591, DOI 10.1016/j.energy.2018.09.019
   Hung LD, 2021, J BUILD ENG, V44, DOI 10.1016/j.jobe.2021.102604
   [江玥 Jiang Yue], 2018, [建筑科学, Building Science], V34, P9
   Jung YJ, 2021, BUILD ENVIRON, V203, DOI 10.1016/j.buildenv.2021.108061
   Lin Z, 2019, OPTIMIZATION, V68, P2088, DOI 10.1080/02331934.2019.1658759
   Lyu H, 2018, ANAL LOAD NEARLY ZER
   Ma GY, 2003, INT J REFRIG, V26, P12, DOI 10.1016/S0140-7007(02)00083-X
   Ridley I, 2013, ENERG BUILDINGS, V63, P67, DOI 10.1016/j.enbuild.2013.03.052
   Rohdin P, 2014, BUILD ENVIRON, V71, P176, DOI 10.1016/j.buildenv.2013.09.017
   Rotar N, 2011, INT J GREEN ENERGY, V8, P780, DOI 10.1080/15435075.2011.600376
   Sameni SMT, 2015, BUILD ENVIRON, V92, P222, DOI 10.1016/j.buildenv.2015.03.030
   Schnieders J, 2015, ENERG BUILDINGS, V105, P71, DOI 10.1016/j.enbuild.2015.07.032
   Su X, 2020, ENERG BUILDINGS, V222, DOI 10.1016/j.enbuild.2020.110090
   Wang H., 2018, STUDY TECHNICAL ADAP
   Wei B., 2008, REFRIGERATION AIR CO, V22, P28
   Xu J., 2011, J NANJING U TECHNOL, V33, P60
   Yan D, 2008, BUILD SIMUL-CHINA, V1, P95, DOI 10.1007/s12273-008-8118-8
   Yan J., 2016, REFRIGERATION AIR CO, V30, P283
   Zhang Y, 2021, OPTIMIZATION, V70, P2401, DOI 10.1080/02331934.2020.1782907
   Zhenzhao Liu, 2014, Advanced Materials Research, V953-954, P698, DOI 10.4028/www.scientific.net/AMR.953-954.698
   Zhu D.D., 2012, Build. Sci, V28, P213
NR 42
TC 7
Z9 6
U1 11
U2 71
PU JOURNAL OF CENTRAL SOUTH UNIV
PI HUNAN
PA EDITORIAL OFF, CHANGSHA, CHINA MAINLAND, HUNAN 410083, PEOPLES R CHINA
SN 2095-2899
EI 2227-5223
J9 J CENT SOUTH UNIV
JI J. Cent. South Univ.
PD JUL
PY 2022
VL 29
IS 7
SI SI
BP 2317
EP 2329
DI 10.1007/s11771-022-5071-0
PG 13
WC Metallurgy & Metallurgical Engineering
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Metallurgy & Metallurgical Engineering
GA 3Z6QY
UT WOS:000844543700018
DA 2025-01-10
ER

PT J
AU Joshi, A
   Chappin, E
   Doorn, N
AF Joshi, Aashis
   Chappin, Emile
   Doorn, Neelke
TI Does Distributive Justice Improve Welfare Outcomes in Climate
   Adaptation? An Exploration Using an Agent-Based Model of a Stylized
   Social-Environmental System
SO SUSTAINABILITY
LA English
DT Article
DE climate adaptation; distributive justice; social systems modelling;
   resource consumption; environmental impact; agent-based modelling;
   principles of distribution; egalitarianism; sufficientarianism;
   capability approach
ID RESILIENCE; EQUALITY; DYNAMICS
AB Scholars increasingly propose distributive justice as a means to foster effective and fair outcomes in climate adaptation. To advance the discussion on its place in climate policy, it is desirable to be able to quantitatively assess the effects of different principles of distribution on the well-being of unequally vulnerable individuals and groups. Here, we present an agent-based model of a stylized social-environmental system subject to an external stress such as a climate change impact, in which individuals with unequal access to resources attempt to fulfil an essential need through resource consumption. This causes environmental damage, and a balance must be found between the processes of resource consumption and environmental degradation to achieve well-being for people and stability for the environment. We operationalize different principles for redistributing resource access as interaction rules in the model and compare their tendency to allow such a balance to emerge. Our results indicate that while outcome patterns and effectiveness may vary among principles, redistribution generally improves well-being and system stability. We discuss some implications of our findings as they pertain to addressing the climate crisis and end by outlining the next steps for the research.
C1 [Joshi, Aashis; Chappin, Emile; Doorn, Neelke] Delft Univ Technol, Fac Technol, Policy & Management, NL-2628 BX Delft, Netherlands.
C3 Delft University of Technology
RP Joshi, A (corresponding author), Delft Univ Technol, Fac Technol, Policy & Management, NL-2628 BX Delft, Netherlands.
EM A.R.Joshi@tudelft.nl; E.J.L.Chappin@tudelft.nl; N.Doorn@tudelft.nl
RI ; Chappin, Emile/H-6315-2014
OI Joshi, Aashis/0000-0003-1068-5739; Doorn, Neelke/0000-0002-1090-579X;
   Chappin, Emile/0000-0002-8529-4241
FU Dutch National Research Council NWO [VI.Vidi.195.119]
FX FundingThis work has been supported by a grant from the Dutch National
   Research Council NWO (grant no. VI.Vidi.195.119).
CR Adger W.N., 1999, ADAPT STRATEG GLOB C, V4, p253 266, DOI [10.1023/A:1009601904210, DOI 10.1023/A:1009601904210]
   Ali AM, 2017, SUSTAIN CITIES SOC, V28, P420, DOI 10.1016/j.scs.2016.10.001
   Alkire S., 2005, J HUM DEV, V6, P115, DOI DOI 10.1080/146498805200034275
   [Anonymous], 2017, J RISK RES, V20, P711, DOI [10.1080/13669877.2015.1100662, DOI 10.1080/13669877.2015.1100662]
   [Anonymous], 2017, ENV NATURAL RESOURCE
   Bebbington A, 1999, ECON GEOGR, V75, P395, DOI 10.2307/144478
   Bell D, 2004, ENVIRON ETHICS, V26, P287, DOI 10.5840/enviroethics200426317
   Brady M, 2012, LANDSCAPE ECOL, V27, P1363, DOI 10.1007/s10980-012-9787-3
   Burchardt T, 2011, J HUM DEV CAPABIL, V12, P91, DOI 10.1080/19452829.2011.541790
   Burton I, 1997, CLIMATIC CHANGE, V36, P185, DOI 10.1023/A:1005334926618
   Byskov MF, 2021, CLIM DEV, V13, P1, DOI 10.1080/17565529.2019.1700774
   Chen Y, 2019, ECOL COMPLEX, V40, DOI 10.1016/j.ecocom.2019.04.003
   Cinner JE, 2009, CURR BIOL, V19, P206, DOI 10.1016/j.cub.2008.11.055
   CORBETT J, 1988, WORLD DEV, V16, P1099, DOI 10.1016/0305-750X(88)90112-X
   Coumou D, 2013, CLIMATIC CHANGE, V118, P771, DOI 10.1007/s10584-012-0668-1
   Curley AM, 2010, J URBAN AFF, V32, P79, DOI 10.1111/j.1467-9906.2009.00475.x
   de Wildt TE, 2020, ENERGY RES SOC SCI, V64, DOI 10.1016/j.erss.2020.101451
   Dittrich M., 2013, INT J SUST HIGHER ED, V14, P43, DOI [10.1108/ijshe.2013.24914aaa.004, DOI 10.1108/IJSHE.2013.24914AAA.004]
   Doorn N, 2019, SUSTAIN RESIL INFRAS, V4, P112, DOI 10.1080/23789689.2018.1428162
   Doorn N, 2018, ETHICS POLICY ENV, V21, P96, DOI 10.1080/21550085.2018.1448041
   Driessen PeterP. J., 2011, Climate Law, V2, P559, DOI [DOI 10.3233/CL-2011-051, 10.3233/CL-2011-051]
   Finsveen E, 2008, ACTA SOCIOL, V51, P293, DOI 10.1177/0001699308097375
   Freeman Samuel., STANFORD ENCY PHILOS
   Hickel J, 2021, POLIT GEOGR, V88, DOI 10.1016/j.polgeo.2021.102404
   Hickel J, 2020, LANCET PLANET HEALTH, V4, pE399, DOI 10.1016/S2542-5196(20)30196-0
   Jafino BA, 2021, WIRES CLIM CHANGE, V12, DOI 10.1002/wcc.721
   Kelleher JP, 2016, OECONOMIA, V6, P331
   Klinsky S, 2017, GLOBAL ENVIRON CHANG, V44, P170, DOI 10.1016/j.gloenvcha.2016.08.002
   Kolstad C, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P207
   Kummel R, 2011, FRONT COLLECT, P1
   Lamont Julian., 1997, STANFORD ENCY PHILOS
   Li C., P INT C FLOOD RES ZU, V9, P13
   Mayunga J.S., 2007, SUMMER ACAD SOCIAL V, V1, P1, DOI DOI 10.1146/ANNUREV.ENERGY.32.051807.090348
   Nussbaum MC, 2003, FEM ECON, V9, P33, DOI 10.1080/1354570022000077926
   Obrist B, 2010, PROG DEV STUD, V10, P283, DOI 10.1177/146499340901000402
   Page EA, 2017, POLIT STUD-LONDON, V65, P356, DOI 10.1177/0032321716647401
   Pelling M, 2005, GLOBAL ENVIRON CHANG, V15, P308, DOI 10.1016/j.gloenvcha.2005.02.001
   Posner EA, 2009, CALIF LAW REV, V97, P51
   Rahmandad H, 2008, MANAGE SCI, V54, P998, DOI 10.1287/mnsc.1070.0787
   Robeyns I., 2005, FIELD CROP RES, V6, P93, DOI [10.1080/146498805200034266, DOI 10.1016/0378-4290(93)90003-6]
   Robeyns I., 2008, Arguments for a Better World: Essays in Honor of Amartya Sen: Volume I: Ethics, Welfare, and Measurement, P397
   Rockström J, 2009, NATURE, V461, P472, DOI 10.1038/461472a
   Ruttan V. W., 1988, Economic Development and Cultural Change, V36, pS247
   Sachs B, 2014, ETHICS POLICY ENV, V17, P208, DOI [10.1080/21550085.2014.926085, 10.1080/21550085.2013.801206]
   Schulze J, 2017, JASSS-J ARTIF SOC S, V20, DOI 10.18564/jasss.3423
   Sen A., 2012, 1933 IDEA JUSTICE AM, DOI [10.1017/S095382081100046X, DOI 10.1017/S095382081100046X]
   Shenk L, 2019, COMMUNITY DEV, V50, P256, DOI 10.1080/15575330.2019.1574849
   Smit B., 2003, CLIMATE CHANGE ADAPT, DOI [https://doi.org/10.1142/9781860945816_0002, DOI 10.1142/9781860945816_0002]
   Stott P, 2016, SCIENCE, V352, P1517, DOI 10.1126/science.aaf7271
   Weber M., 2019, ERASMUS J PHILOS EC, V12, P1, DOI DOI 10.23941/EJPE.V12I1.345
   Wolf J, 2010, GLOBAL ENVIRON CHANG, V20, P44, DOI 10.1016/j.gloenvcha.2009.09.004
   Zhang Y, 2021, NAT GEOSCI, V14, P133, DOI 10.1038/s41561-021-00695-3
NR 52
TC 0
Z9 0
U1 0
U2 7
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD NOV
PY 2021
VL 13
IS 22
AR 12648
DI 10.3390/su132212648
PG 23
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA XH6EA
UT WOS:000725524200001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Yan, YM
   Cao, JX
   Gu, YF
   Huang, XN
   Liu, XX
   Hu, Y
   Wu, SH
AF Yan, Yimeng
   Cao, Jiaxi
   Gu, Yufan
   Huang, Xuening
   Liu, Xiaoxian
   Hu, Yue
   Wu, Shuhong
TI An Evaluation of Ecosystem Quality and Its Response to Aridity on the
   Qinghai-Tibet Plateau
SO REMOTE SENSING
LA English
DT Article
DE RSEI; SPEI; climate change; aridity; ecological condition evaluation
ID KENDALL TREND TEST; TIME-SERIES; DROUGHT; DESERTIFICATION; ENVIRONMENT;
   GRASSLANDS
AB Exploring the response of spatial and temporal characteristics of ecological quality change to aridity on the Qinghai-Tibet Plateau (QTP) can provide valuable information for regional ecological protection, water resource management, and climate change adaptation. In this study, we constructed the Remote Sensing Ecological Index (RSEI) and Standardized Precipitation Evapotranspiration Index (SPEI) based on the Google Earth Engine (GEE) platform with regional characteristics and completely analyzed the spatial and temporal variations of aridity and ecological quality on the QTP in the years 2000, 2005, 2010, 2015, and 2020. Additionally, we explored the responses of ecological quality to aridity indices at six different time scales. The Mann-Kendall test, correlation analysis, and significance test were used to study the spatial and temporal distribution characteristics of meteorological aridity at different time scales on the QTP and their impacts on the quality of the ecological environment. The results show that the ecological environmental quality of the QTP has a clear spatial distribution pattern. The ecological environment quality is significantly better in the south-east, while the Qaidam Basin and the west have lower ecological environment quality indices, but the overall trend of environmental quality is getting better. The Aridity Index of the QTP shows a differentiated spatial and temporal distribution pattern, with higher Aridity Indexes in the north-eastern and south-western parts of the plateau and lower Aridity Indexes in the central part of the plateau at shorter time scales. Monthly, seasonal, and annual-scale SPEI values showed an increasing trend. There is a correlation between aridity conditions and ecological quality on the QTP. The areas with significant positive correlation between the RSEI and SPEI in the study area were mainly concentrated in the south-eastern, south-western, and northern parts of the QTP, where the ecological quality of the environment is more seriously affected by meteorological aridity.
C1 [Yan, Yimeng; Cao, Jiaxi; Huang, Xuening; Liu, Xiaoxian; Hu, Yue; Wu, Shuhong] Beijing Forestry Univ, Sch Ecol & Nat Conservat, Beijing 100083, Peoples R China.
   [Gu, Yufan] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore.
C3 Beijing Forestry University; Nanyang Technological University
RP Wu, SH (corresponding author), Beijing Forestry Univ, Sch Ecol & Nat Conservat, Beijing 100083, Peoples R China.
EM qwertyym@bjfu.edu.cn; wushuhong@bjfu.edu.cn
RI Cao, Jiaxi/KIB-9512-2024
OI Yan, Yimeng/0009-0000-8243-5566; Cao, Jiaxi/0000-0003-4724-8145
FU Tsinghua University; Project of Industry University
   [ZLJT-THU2022110101]; China Forestry Group Corporation on Forestry
   carbon sink development [72104118]; National Natural Science Foundation
FX This research was funded by the Project of Industry University Research
   cooperation between Tsinghua University and China Forestry Group
   Corporation on Forestry carbon sink development (ZLJT-THU2022110101) and
   the National Natural Science Foundation (72104118).
CR Arif C., 2018, P 1 INT C MECH EL BI, V557
   Baig MHA, 2014, REMOTE SENS LETT, V5, P423, DOI 10.1080/2150704X.2014.915434
   Cao JX, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14174234
   Chang B, 2017, WATER-SUI, V9, DOI 10.3390/w9070552
   Changnon S.A., 1989, J. Am. Water Resour. Assoc, V364, P2350
   Chashina B., 2021, J. Geogr. Environ. Manag, V651, P245, DOI [10.26577/JGEM.2021.v61.i2.05, DOI 10.26577/JGEM.2021.V61.I2.05]
   Chen Q, 2023, REMOTE SENS ENVIRON, V289, DOI 10.1016/j.rse.2023.113512
   Chen SS, 2021, FOREST ECOL MANAG, V496, DOI 10.1016/j.foreco.2021.119463
   Chen SD, 2018, ADV METEOROL, V2018, DOI 10.1155/2018/9362041
   Crist E.P., 1984, Investigations of Vegetation and Soils Information Contained in Landsat Thematic Mapper and Multispectral Scanner Data, VVolume 127, P34
   Cui RH, 2022, LAND-BASEL, V11, DOI 10.3390/land11060944
   Cui Xi-lin, 2022, Yingyong Shengtai Xuebao, V33, P1525, DOI 10.13287/j.1001-9332.202206.024
   Dikshit A, 2021, J ENVIRON MANAGE, V283, DOI 10.1016/j.jenvman.2021.111979
   [丁建丽 Ding Jianli], 2002, [地理学与国土研究, Geography and Territorial Research], V18, P23
   Fava F, 2021, CURR OPIN ENV SUST, V48, P44, DOI 10.1016/j.cosust.2020.09.006
   Gao QZ, 2016, SCI TOTAL ENVIRON, V554, P34, DOI 10.1016/j.scitotenv.2016.02.131
   Ge G, 2017, ATMOSPHERE-BASEL, V8, DOI 10.3390/atmos8070127
   Guo B, 2016, J ARID LAND, V8, P23, DOI 10.1007/s40333-015-0055-7
   Hamed KH, 1998, J HYDROL, V204, P182, DOI 10.1016/S0022-1694(97)00125-X
   Hamed KH, 2008, J HYDROL, V349, P350, DOI 10.1016/j.jhydrol.2007.11.009
   Hao ZC, 2015, J HYDROL, V527, P668, DOI 10.1016/j.jhydrol.2015.05.031
   Kimosop P, 2019, SINGAPORE J TROP GEO, V40, P239, DOI 10.1111/sjtg.12270
   Kumar V, 2023, PHYS CHEM EARTH, V131, DOI 10.1016/j.pce.2023.103428
   Li XR, 2006, J ARID ENVIRON, V64, P505, DOI 10.1016/j.jaridenv.2005.06.011
   Liu Jie, 2022, Yingyong Shengtai Xuebao, V33, P1533, DOI 10.13287/j.1001-9332.202206.025
   Llanes-Cárdenas O, 2018, ATMOSPHERE-BASEL, V9, DOI 10.3390/atmos9040122
   Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187
   McKee T.B., 1993, P 8 C APPL CLIM BOST, VVolume 34, P90
   Moreno R, 2020, URBAN FOR URBAN GREE, V55, DOI 10.1016/j.ufug.2020.126821
   Peng L., 2017, J SHIHEZI U NAT SCI, V35, P506
   Peng S., 2020, 1-km Monthly Precipitation Dataset for China (19012022), DOI [https://doi.org/10.5281/zenodo.3185722, 10.5281/zenodo.3185722, DOI 10.5281/ZENODO.3185722]
   Peng S., 2019, 1-km monthly mean temperature dataset for China (1901-2022), DOI [10.11888/Meteoro.tpdc.270961, DOI 10.11888/METEORO.TPDC.270961]
   Peng SZ, 2019, EARTH SYST SCI DATA, V11, P1931, DOI 10.5194/essd-11-1931-2019
   Peng XF, 2023, LAND-BASEL, V12, DOI 10.3390/land12081581
   Qian K, 2020, J MT SCI-ENGL, V17, P1423, DOI 10.1007/s11629-020-5986-6
   Rogers R.H., 1994, Environ. Conserv, V21, P376, DOI [10.1017/S0376892900033853, DOI 10.1017/S0376892900033853]
   Rouse J.W., 1974, NASA Technical Reports Server (NTRS), V521, P321
   Skoien JO, 2003, WATER RESOUR RES, V39, DOI 10.1029/2002WR001736
   Stagge JH, 2015, INT J CLIMATOL, V35, P4027, DOI 10.1002/joc.4267
   Sun C, 2022, GISCI REMOTE SENS, V59, P1793, DOI 10.1080/15481603.2022.2138010
   Sun T, 2023, J MT SCI-ENGL, V20, P2282, DOI 10.1007/s11629-023-8025-6
   Vicente-Serrano SM, 2010, J CLIMATE, V23, P1696, DOI 10.1175/2009JCLI2909.1
   Wagenseil H, 2006, INT J REMOTE SENS, V27, P3455, DOI 10.1080/01431160600639743
   Wang F, 2019, WATER-SUI, V11, DOI 10.3390/w11061298
   Wang G., 2012, P 2012 2 INT C REM S, V33, P423
   Wang WJ, 2021, THEOR APPL CLIMATOL, V143, P87, DOI 10.1007/s00704-020-03394-y
   Wang XY, 2016, GLOBAL PLANET CHANGE, V147, P40, DOI 10.1016/j.gloplacha.2016.10.014
   Wei YQ, 2022, EARTHS FUTURE, V10, DOI 10.1029/2021EF002566
   Xia M, 2021, ECOL INDIC, V123, DOI 10.1016/j.ecolind.2020.107274
   Xu Han-qiu, 2013, China Environmental Science, V33, P889
   Yang XY, 2021, ECOL INDIC, V131, DOI 10.1016/j.ecolind.2021.108214
   Zarei AR, 2020, ARAB J GEOSCI, V13, DOI 10.1007/s12517-020-5197-z
   Zhang F., 2009, Bull. Sci. Technol, V14, P178
   [张宇镭 Zhang Yulei], 2005, [计算机工程与应用, Computer Engineering and Application], V41, P79
   Zhao ZY, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14205279
   Zhou Y., 2015, GLOB GEOL, V18, P41, DOI DOI 10.3969/j.issn.1673-9736.2015.01.06
NR 56
TC 0
Z9 0
U1 16
U2 16
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
J9 REMOTE SENS-BASEL
JI Remote Sens.
PD SEP
PY 2024
VL 16
IS 18
AR 3461
DI 10.3390/rs16183461
PG 21
WC Environmental Sciences; Geosciences, Multidisciplinary; Remote Sensing;
   Imaging Science & Photographic Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
GA H5N9Q
UT WOS:001323919300001
OA gold
DA 2025-01-10
ER

PT J
AU Yiridomoh, GY
   Bonye, SZ
   Derbile, EK
AF Yiridomoh, Gordon Yenglier
   Bonye, Samuel Ziem
   Derbile, Emmanuel K.
TI Reducing vulnerability to climate change among millet and sorghum
   farmers in Ghana: interrogating the contribution of climate-smart
   agriculture in northwestern Ghana
SO FRONTIERS IN SUSTAINABLE FOOD SYSTEMS
LA English
DT Article
DE climate-smart agriculture; climate vulnerability; cereal crop; climate
   change; food security
ID CHANGE ADAPTATION; INDIGENOUS KNOWLEDGE; ADOPTION
AB Reducing vulnerability of smallholder farmers to climate change is a global issue. One approach viewed as important in reducing farmers' vulnerability to climate change is Climate-Smart Agriculture (CSA). CSA is often seen as an approach to redefine, reposition and sustainably manage agriculture. Given the importance of CSA practices in sustaining the food needs of many farm households in sub-Saharan Africa and Ghana, this study investigates CSA practices that were introduced to farmers by Center for Indigenous Knowledge and Development (CIKOD), interrogates the contributions of CSA to reducing farmers vulnerability to climate change and established the relationship between CSA and climate change adaptation. The study employed a mixed method approach, using 146 smallholder millet and sorghum farmers. Questionnaire and interviews were used to generate primary data for analysis. Descriptive statistics, involving Chi-square test and relative importance index were used to analyze the questionnaire while thematic analytical approach was used to analyze the interviews. The results of the study revealed that CSA practices such as crop rotation, weed control, contour farming, and land rotation are deployed by smallholder farmers to respond to drought, dry spell and flood in the Municipality. Asset holding capacity, credit, access to climate information, and extension services were found to be key determinants of farmers' adoption of CSA practices. The study recommends the need for the Ministry of Food and Agriculture to provide some technical support to smallholder farmers to successfully adopt these practices for sustainable farming. Again, the study recommends the need for non-governmental organizations and development partners, which over the years have shown interest in promoting CSA practices among farmers, to continuous to support and promote the adoption of CSA by farmers.
C1 [Yiridomoh, Gordon Yenglier; Bonye, Samuel Ziem] Simon Diedong Dombo Univ Business & Integrated Dev, Fac Planning & Land Management, Dept Community Dev, Wa, Ghana.
   [Derbile, Emmanuel K.] Simon Diedong Dombo Univ Business & Integrated Dev, Fac Planning & Land Management, Dept Planning, Wa, Ghana.
RP Yiridomoh, GY (corresponding author), Simon Diedong Dombo Univ Business & Integrated Dev, Fac Planning & Land Management, Dept Community Dev, Wa, Ghana.
EM yiridomoh@gmail.com
CR Agyakinla J. K., 2018, Effects of adaptation to climate changes on millet and sorghum production in the Builsa South District of Ghana, Kumasi
   Alexander S, 2019, FUTURE FOOD, V7, P21, DOI 10.17170/kobra-2018122073
   Ali A, 2017, CLIM RISK MANAG, V16, P183, DOI 10.1016/j.crm.2016.12.001
   Ali Hussien, 2023, Climate Resilience and Sustainability, DOI 10.1002/cli2.54
   [Anonymous], 2022, FAO World Food and AgricultureStatistical Yearbook 2022, DOI DOI 10.4060/CC2211EN
   [Anonymous], 2016, Agriculture Food Security, DOI [10.1186/s40066-016-0075-3, DOI 10.1186/S40066-016-0075-3]
   Antwi-Agyei P, 2021, ENVIRON SUSTAIN IND, V12, DOI 10.1016/j.indic.2021.100140
   Anuga S. W., 2019, J. Geogr, V11, P124, DOI DOI 10.4314/GJG.V11I1.8
   Anwaruzzaman A.K.M., 2024, Summary: climate-smart agriculture in the 2017 SAN sustainable agriculture standard
   Anwaruzzaman A. K. M., 2024, Climate change, vulnerabilities and adaptation: understanding and addressing threats with insights for policy and practice, P295
   Asrat P., 2017, AM J CLIMATE CHANGE, V06, P643, DOI [10.4236/ajcc.2017.64033, DOI 10.4236/AJCC.2017.64033]
   Attride-Stirling Jennifer., 2001, Qualitative Research, V1, DOI DOI 10.1177/146879410100100307
   Autio A, 2021, AGR SYST, V194, DOI 10.1016/j.agsy.2021.103284
   Ayanlade A, 2023, CLIM RISK MANAG, V40, DOI 10.1016/j.crm.2023.100497
   Azadi H, 2021, J CLEAN PROD, V319, DOI 10.1016/j.jclepro.2021.128602
   Bazzana D, 2022, FOOD POLICY, V111, DOI 10.1016/j.foodpol.2022.102304
   Belford C, 2022, INT J CLIM CHANG STR, DOI 10.1108/IJCCSM-01-2022-0003
   Chitakira M, 2021, FRONT SUSTAIN FOOD S, V5, DOI 10.3389/fsufs.2021.706738
   Defrance D, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12187585
   Derbile EK., 2022, Environ Chall, V8, P100537, DOI DOI 10.1016/J.ENVC.2022.100537
   Eggen M, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/aafe19
   FAO, 2016, Climate-Smart Agriculture SourcebookModule 1: Why Climate-Smart Agriculture, Fisheries and Forestry
   Fetters MD, 2013, HEALTH SERV RES, V48, P2134, DOI 10.1111/1475-6773.12117
   File DJM, 2020, INT J CLIM CHANG STR, V12, P22, DOI 10.1108/IJCCSM-04-2019-0023
   File DJMB, 2023, COGENT SOC SCI, V9, DOI 10.1080/23311886.2023.2228064
   Issahaku G, 2020, AUST J AGR RESOUR EC, V64, P396, DOI 10.1111/1467-8489.12357
   Jamil I, 2021, ENVIRON SCI POLLUT R, V28, P27238, DOI 10.1007/s11356-021-12425-8
   Johnson RB, 2007, J MIX METHOD RES, V1, P112, DOI 10.1177/1558689806298224
   Kiprono M. J., 2024, Effects of rainfall variability on maize production among the small-scale farmers in Endebess Sub County between 20082018
   Li J, 2022, ENVIRON SCI POLLUT R, V29, P70360, DOI 10.1007/s11356-022-20796-9
   Makate C, 2019, J ENVIRON MANAGE, V231, P858, DOI 10.1016/j.jenvman.2018.10.069
   Martey E, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2020.104622
   Mashi SA, 2022, TECHNOL SOC, V70, DOI 10.1016/j.techsoc.2022.102030
   Mehraj S., 2023, Clim. Change Microbiome Dyn. Carbon Cycle Feedbacks, V1, P97, DOI [10.1007/978-3-031-21079-27, DOI 10.1007/978-3-031-21079-27]
   Miller V., 2021, Climate-smart agriculture in Khyber Pakhtunkhwa, P53
   Ministry of Food and Agriculture, 2010, MOFA Agriculture and Land use in the Upper West Region, Wa
   Nana J.T., 2019, Journal of Agriculture and Environmental Sciences, V8, P14, DOI DOI 10.15640/JAES.V8N1A2
   Nikulin M. S., 1996, A Guide to Chi-squared testing
   Njogu JW, 2024, COGENT FOOD AGR, V10, DOI 10.1080/23311932.2024.2316362
   Nkumulwa HO, 2021, FRONT SUSTAIN FOOD S, V5, DOI 10.3389/fsufs.2021.671419
   Nwajiuba C., 2015, State of Knowledge on CSA in Africa: Case Studies from Nigeria
   Nyang'au JO, 2021, HELIYON, V7, DOI 10.1016/j.heliyon.2021.e06789
   Owusu V, 2021, WEATHER CLIM EXTREME, V33, DOI 10.1016/j.wace.2021.100353
   Owusu V, 2021, J CLEAN PROD, V293, DOI 10.1016/j.jclepro.2021.126154
   Pequeno DNL, 2024, NAT CLIM CHANGE, DOI 10.1038/s41558-023-01902-2
   Pereira L., 2017, Oxford Research Encyclopedia of Environmental Science, DOI 10.1093/acrefore/9780199389414.013.292
   Petrakis P. E., 2023, The future of the Greek economy: economic development through, P135
   Prasad P. V. V., 2009, Soils, plant growth and crop productionVolume II, encyclopedia of life support systems
   Rurinda J, 2014, CLIM RISK MANAG, V3, P65, DOI 10.1016/j.crm.2014.05.004
   Sakho-Jimbira S., 2020, Policy Brief, V2, P18
   Sarr M, 2021, WORLD DEV, V138, DOI 10.1016/j.worlddev.2020.105160
   Seglah PA, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14031434
   Shahzad MF, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132111702
   Sullo C, 2020, RURAL SOC, V29, P59, DOI 10.1080/10371656.2020.1758434
   Tanti P C., 2022, Environmental Challenges, V7, P100498, DOI DOI 10.1016/J.ENVC.2022.100498
   Tesfaye A., 2021, Monitoring socioeconomic impacts of climate-smart agricultural practices at Doyogena and Basona Worena climate-smart landscapes, Ethiopia
   Tesfaye W, 2021, AM J AGR ECON, V103, P878, DOI 10.1111/ajae.12161
   Tongruksawattana S, 2019, CLIM DEV, V11, P710, DOI 10.1080/17565529.2018.1562862
   Totin E, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10061990
   Twongyirwe R, 2019, WEATHER CLIM EXTREME, V24, DOI 10.1016/j.wace.2019.100201
   Uddin MN, 2014, CLIMATE, V2, P223, DOI 10.3390/cli2040223
   Van Aelst K, 2018, CLIM DEV, V10, P495, DOI 10.1080/17565529.2017.1318745
   Wekesa B. M., 2018, Agriculture & Food Security, V7, P80, DOI 10.1186/s40066-018-0230-0
   Wu JJ, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10124712
   Yamane T., 1967, Statistics, An IntroductoryAnalysis,2nded
   Yamoah FA, 2024, CLIM DEV, V16, P169, DOI 10.1080/17565529.2021.2024125
   Yiridomoh G. Y., 2021, Environ. Dev. Sustain, V2021, P1, DOI [10.1007/s10668-021-, DOI 10.1007/S10668-021]
   Yiridomoh GY, 2021, FRONT SUSTAIN FOOD S, V5, DOI 10.3389/fsufs.2021.745317
   Yiridomoh GY, 2021, GEOJOURNAL, V86, P1527, DOI 10.1007/s10708-020-10144-0
   Zakaria A, 2020, EARTH SYST ENVIRON, V4, P257, DOI 10.1007/s41748-020-00146-w
NR 70
TC 0
Z9 0
U1 0
U2 0
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2571-581X
J9 FRONT SUSTAIN FOOD S
JI Front. Sustain. Food Syst.
PD AUG 12
PY 2024
VL 8
AR 1357355
DI 10.3389/fsufs.2024.1357355
PG 17
WC Food Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Food Science & Technology
GA D6L9P
UT WOS:001297286700001
OA gold
DA 2025-01-10
ER

PT J
AU Mizuno, O
   Okano, N
AF Mizuno, Osamu
   Okano, Naoyuki
TI Reconsidering National Adaptation Plans (NAPs) as a Policy Framework
   under the UNFCCC
SO CLIMATE POLICY
LA English
DT Article
DE Climate change adaptation; climate policy instruments; national
   adaptation plans; adaptation policy; adaptation cycle
ID AGREEMENT
AB Under the UNFCCC, the National Adaptation Plan (NAP) plays a central role as a policy framework for adaptation. While significant efforts, including research, have been made on the NAP scheme (which includes NAP formulation as one component), a critical evaluation of the entire NAP scheme is lacking. This includes an analysis of the relationship between the NAP process and the NAPs, their nature and intended functions, the interlinkages and implications of various COP agreements and guidelines on the NAPs, and alignment with the concept of the adaptation planning process. This paper analyzes COP Decisions, relevant documents from constituted bodies, and efforts by relevant international organizations to better understand how the NAP scheme is constructed and operated in order to clarify its strengths and weaknesses. To get an idea of how countries understand the COP Decisions and other relevant guidance for formulating their NAPs, we also reviewed the NAPs of nine countries in the Asia-Pacific region (Bangladesh, Cambodia, Fiji, Kiribati, Nepal, PNG, Sri Lanka, Timor-Leste, and Tonga). As a result, we find critical issues in the international agreements and actions on the NAPs that may become obstacles to global, and eventually national, adaptation efforts and make specific policy recommendations to address these challenges.Key policy insights Neither the NAP process nor the NAPs themselves have been well defined by the COP. As a result, formulated NAPs have no more in common than a 'plan on adaptation developed by the national government.'It is vital for the COP to define the NAP process and the NAPs more clearly, including their roles and relations, and to ensure consistent support for developing countries' adaptation efforts through the NAP scheme.The COP should define the NAP process as the adaptation planning process (AP process) and find the roles of the NAPs as the 'grand design of the AP process' to enhance the consistency and effectiveness of global efforts on adaptation.
C1 [Mizuno, Osamu; Okano, Naoyuki] Inst Global Environm Strategies, Adaptat & Water Area, 2108-11 Kamiyamaguchi, Hayama, Kanagawa 2400115, Japan.
RP Mizuno, O (corresponding author), Inst Global Environm Strategies, Adaptat & Water Area, 2108-11 Kamiyamaguchi, Hayama, Kanagawa 2400115, Japan.
EM o-mizuno@iges.or.jp
OI Okano, Naoyuki/0000-0001-8810-5680
FU Environment Research and Technology Development Fund of the
   Environmental Restoration and Conservation Agency provided by Ministry
   of the Environment of Japan [JPMEERF20221C06]
FX This research was supported by the Environment Research and Technology
   Development Fund (JPMEERF20221C06) of the Environmental Restoration and
   Conservation Agency provided by Ministry of the Environment of Japan.
   The authors would like to thank Brian Alan Johnson for his comments.
CR Adaptation Committee, 2022, NAVIGATING LANDSCAPE
   Adaptation Committee, 2023, MONITORING EVALUATIO
   [Anonymous], 2014, Kiribati Joint Implementation Plan for Climate Change and Disaster Risk Management 2014-2023
   [Anonymous], 2016, Report of the Conference of the Parties on its twenty-first session, P1
   Banda M. L., 2018, VAND J TRANSNATL L, V51, P1027
   Bodansky D, 2016, AM J INT LAW, V110, P288, DOI 10.5305/amerjintelaw.110.2.0288
   Carr ER, 2023, CLIM RISK MANAG, V39, DOI 10.1016/j.crm.2023.100479
   Climate Change Development Authority, 2023, NAT AD PLAN PAP NEW
   Democratic Republic of Timor-Leste, 2021, TIM LEST NAT AD PLAN
   Donatti CI, 2020, CLIMATIC CHANGE, V158, P413, DOI 10.1007/s10584-019-02565-9
   GCF, 2019, GCFB2208
   GCF, 2022, GCFB3307
   GCF, 2023, READ PREP SUPP PROGR
   Government of Nepal, 2021, National Adaptation Plan 2021-2050
   Government of the Republic of Fiji, 2018, REPUBLIC FIJI NATL A
   Government of Tonga, 2018, JOINT NATL ACTION PL
   Hall N, 2018, EUR J INT RELAT, V24, P540, DOI 10.1177/1354066117725157
   Hughes H, 2021, EARTH SYST GOV-NETH, V10, DOI 10.1016/j.esg.2021.100121
   Huitema D, 2016, ECOL SOC, V21, DOI 10.5751/ES-08797-210337
   Intergovernmental Panel on Climate Change (IPCC), 2023, Climate Change 2021The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel On Climate Change, DOI [10.1017/9781009325844.001, DOI 10.1017/9781009157940, 10.1017/9781009157896]
   LDC Expert Group, 2012, NAT AD PLANS TECHN G
   Leiter T., 2022, Carbon Clim. Law Rev, V16, P243, DOI DOI 10.21552/CCLR/2022/4/5
   Lesnikowski A, 2017, CLIM POLICY, V17, P825, DOI 10.1080/14693062.2016.1248889
   Lesnikowski A, 2016, NAT CLIM CHANGE, V6, P261, DOI [10.1038/NCLIMATE2863, 10.1038/nclimate2863]
   Ministry of Environment Forest and Climate Change Government of the People's Republic of Bangladesh, 2022, NATL ADAPTATION PLAN
   Morgan EA, 2019, ENVIRON SCI POLICY, V93, P208, DOI 10.1016/j.envsci.2018.10.012
   NAP Global Network, 2023, WHAT WE AR LEARN EFF
   NAP-GSP, 2022, ASS DEV COUNTR COUNT
   National Climate Change Committee, 2013, CAMB CLIM CHANG STRA
   Pisor AC, 2022, NAT CLIM CHANGE, V12, P213, DOI 10.1038/s41558-022-01303-x
   Qi J., 2022, INTRO ADAPTATION GLO
   Ulibarri N, 2022, CLIM POLICY, V22, P77, DOI 10.1080/14693062.2021.2002251
   UNFCCC, 2021, DEC 7 CMA 3 GLASG SH
   UNFCCC, 2022, FCCCSBI202219
   UNFCCC, 2023, DECISION 2CMA5 GLOBA
   UNFCCC, 2023, Decision 1/CMA.5 Outcome of the first global stocktake
   UNFCCC, 2011, DECISION 5CP17 NATL
   UNFCCC, 2022, DEC 3 CMA 4 GLASG SH
   UNFCCC, 2010, DEC 1 CP 16 CANC AGR
   Vanhala L, 2023, REV EUR COMP INT ENV, V32, P428, DOI 10.1111/reel.12508
   Woodruff SC, 2019, MITIG ADAPT STRAT GL, V24, P53, DOI 10.1007/s11027-018-9794-z
   Yazykova S., 2018, ENV LAW REP NEWS ANA, V48, P10334
NR 42
TC 0
Z9 0
U1 4
U2 4
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1469-3062
EI 1752-7457
J9 CLIM POLICY
JI Clim. Policy
PD OCT 20
PY 2024
VL 24
IS 9
BP 1309
EP 1321
DI 10.1080/14693062.2024.2378194
EA JUL 2024
PG 13
WC Environmental Studies; Public Administration
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public Administration
GA H8O6X
UT WOS:001272164800001
OA hybrid
DA 2025-01-10
ER

PT J
AU Al-Qthanin, RN
   Abdalghafar, IM
   Mahmoud, DS
   Fikry, AM
   AlEnezi, NA
   Elesawi, IE
   AbuQamar, SF
   Gad, MM
   El-Tarabily, KA
AF Al-Qthanin, Rahmah N.
   Abdalghafar, Ibrahim M.
   Mahmoud, Doaa S.
   Fikry, Ahmed M.
   AlEnezi, Norah A.
   Elesawi, Ibrahim Eid
   AbuQamar, Synan F.
   Gad, Mohamed M.
   El-Tarabily, Khaled A.
TI Impact of rice straw mulching on water consumption and productivity of
   orange trees [Citrus sinensis (L.) Osbeck]
SO AGRICULTURAL WATER MANAGEMENT
LA English
DT Article
DE Crop productivity; Leafy inflorescence; Mulch irrigation; Orange; Water
   deficiency; Water use efficiency
ID PLASTIC-FILM MULCH; USE EFFICIENCY; LOESS PLATEAU; FRUIT-QUALITY;
   SOIL-MOISTURE; MAIZE YIELD; STRESS; GROWTH; CROP; IRRIGATION
AB Due to the adverse effect of global climate change on agricultural water management, maintaining soil moisture in the root zone is essential for optimal crop productivity. For effective irrigation, we used organic mulching to increase the yield and water productivity (WP) of Valencia orange in arid/desert climates. Here, the effect of rice straw mulching and irrigation rates [100, 85, and 70% of evapotranspiration reference (ETc)] on nutrient contents, quality, and yield of orange trees was evaluated. Under field conditions, the application of straw mulch significantly increased the concentration of some essential elements and photosynthetic pigments but reduced proline contents in orange leaves. Soil mulching significantly increased fruit and inflorescence retention, and resulted in a higher number and weight of fruit on branches, without compromising their taste or texture, compared to the treatment without mulching. Both irrigation and mulching also affected crop productivity and water use efficiency (WUE). This was evident when yield/fed increased by 22.7-23.8, 20.7-31.5, and 6.2-16.9% under mulching at 100, 85, and 70% ETc, respectively, compared to traditional conditions at 100% ETc without mulch. Although the maximum WUE under rice straw mulch was 5.72-5.84 kg/m3 at 70% ETc, it was 5.31-5.40, and 4.57-4.64 kg/m3 at 85, and 100% ETc, respectively. Organic mulching showed superior results with respect to increasing yields and WP, while saving 15.4% water and comparable benefit/cost with the traditional irrigation when orange trees were irrigated with 85% ETc. Together, this study could be a promising strategy for climate change adaptation and sustainable water management.
C1 [Al-Qthanin, Rahmah N.] King Khalid Univ, Coll Sci, Dept Biol, Abha 61413, Saudi Arabia.
   [Al-Qthanin, Rahmah N.] King Khalid Univ, Prince Sultan Bin Abdelaziz Environm Res & Nat Res, Abha 61421, Saudi Arabia.
   [Abdalghafar, Ibrahim M.; Mahmoud, Doaa S.; Fikry, Ahmed M.; Gad, Mohamed M.] Zagazig Univ, Fac Agr, Hort Dept, Zagazig 44511, Egypt.
   [AlEnezi, Norah A.] Imam Abdulrahman Bin Faisal Univ, Coll Sci, Dept Biol, Dammam 31441, Saudi Arabia.
   [Elesawi, Ibrahim Eid] Zagazig Univ, Fac Agr, Agr Biochem Dept, Zagazig 44511, Egypt.
   [AbuQamar, Synan F.; El-Tarabily, Khaled A.] United Arab Emirates Univ, Coll Sci, Dept Biol, Al Ain 15551, U Arab Emirates.
C3 King Khalid University; King Khalid University; Egyptian Knowledge Bank
   (EKB); Zagazig University; Imam Abdulrahman Bin Faisal University;
   Egyptian Knowledge Bank (EKB); Zagazig University; United Arab Emirates
   University
RP AbuQamar, SF (corresponding author), United Arab Emirates Univ, Coll Sci, Dept Biol, Al Ain 15551, U Arab Emirates.
EM sabuqamar@uaeu.ac.ae
RI Elesawi, Ibrahim/KFT-3645-2024
OI Gad, Mohamed/0000-0002-3796-9857
FU Khalifa Center for Biotechnology and Genetic Engineering-UAEU [12R028];
   Abu Dhabi Award for Research Excellence-Department of Education and
   Knowledge [21S105]; UAEU program of Advanced Research [12S169]
FX This project was supported by Khalifa Center for Biotechnology and
   Genetic Engineering-UAEU (Grant number: 12R028) , Abu Dhabi Award for
   Research Excellence-Department of Education and Knowledge (Grant number:
   21S105) , and UAEU program of Advanced Research (Grant number: 12S169) .
CR Abdelraouf R. E., 2013, Middle East Journal of Scientific Research, V16, P441
   Abobatta W.F., 2019, Int. J. Appl. Sci, V1, P63
   Bal JS, 2011, INDIAN J HORTIC, V68, P189
   BATES LS, 1973, PLANT SOIL, V39, P205, DOI 10.1007/BF00018060
   Biswas SK, 2015, PLANT SOIL ENVIRON, V61, P97, DOI 10.17221/804/2014-PSE
   Black E, 2024, ADV ATMOS SCI, V41, P209, DOI 10.1007/s00376-023-2366-5
   Chen YZ, 2019, AGR WATER MANAGE, V211, P142, DOI 10.1016/j.agwat.2018.09.048
   Deng XP, 2006, AGR WATER MANAGE, V80, P23, DOI 10.1016/j.agwat.2005.07.021
   El-Beltagi HS, 2022, AGRONOMY-BASEL, V12, DOI 10.3390/agronomy12081881
   El-Taweel A. A., 2015, EGYPTIAN JOURNAL OF HORTICULTURE, V42, P367
   ElMetwally I.M., 2015, Agriculture (Polnohospodrstvo), V61, P22, DOI [DOI 10.1515/AGRI-2015-0007, DOI 10.1515/agri-2015-0007]
   Ennab H., 2023, Ann. Agric. Sci. Moshtohor, V61, P177, DOI [10.21608/assjm.2023.293857, DOI 10.21608/ASSJM.2023.293857]
   Fang SZ, 2007, PLANT SOIL, V300, P269, DOI 10.1007/s11104-007-9414-2
   Farahani S.M., 2012, Irrigation Systems and Practices in Challenging Environments, V3219, DOI [10.5772/29500, DOI 10.5772/29500]
   Fathian M, 2023, ENVIRON MONIT ASSESS, V195, DOI 10.1007/s10661-023-10947-x
   Tejero IG, 2011, SCI HORTIC-AMSTERDAM, V128, P274, DOI 10.1016/j.scienta.2011.01.035
   Goel L, 2019, INT J RECYCLING ORG, V8, pS345, DOI 10.1007/s40093-019-00307-6
   Gupta RK, 2007, SOIL SCI SOC AM J, V71, P1500, DOI 10.2136/sssaj2006.0325
   Horwitz W., 1975, Official methods of analysis, V222, P1094
   Ikhsan I., 2023, IOP Conference Series: Earth and Environmental Science, DOI 10.1088/1755-1315/1183/1/012091
   Iqbal R., 2020, Bull Natl Res Cent, V44, DOI [DOI 10.1186/S42269-020-00290-3, 10.1186/s42269-020-00290, DOI 10.1186/S42269-020-00290]
   Jamshidi S, 2021, IRRIGATION SCI, V39, P441, DOI 10.1007/s00271-020-00709-9
   Jamshidi S, 2021, INT J REMOTE SENS, V42, P1893, DOI 10.1080/01431161.2020.1846224
   Jamshidi S, 2020, AGR WATER MANAGE, V227, DOI 10.1016/j.agwat.2019.105838
   Jamshidi S, 2019, J HYDROMETEOROL, V20, P947, DOI 10.1175/JHM-D-18-0082.1
   Ji SN, 2001, SOIL SCI SOC AM J, V65, P442, DOI 10.2136/sssaj2001.652442x
   Kader M.A., 2019, Bulletin of the National Research Centre, V43, P1, DOI [DOI 10.1186/S42269-019-0186-7, 10.1186/s42269-019-0186-7]
   Kapoor D, 2020, APPL SCI-BASEL, V10, DOI 10.3390/app10165692
   Khalil N. H., 2023, IOP Conference Series: Earth and Environmental Science, DOI 10.1088/1755-1315/1158/4/042049
   Khan MIR, 2023, PLANT SOIL, V486, P1, DOI 10.1007/s11104-023-06056-w
   Kishor PBK, 2015, FRONT PLANT SCI, V6, DOI 10.3389/fpls.2015.00544
   Koshita Y, 2004, SCI HORTIC-AMSTERDAM, V99, P301, DOI 10.1016/S0304-4238(03)00113-4
   Kukal Surinder S., 2010, Archives of Agronomy and Soil Science, V56, P697, DOI 10.1080/03650340903208871
   KUSHAD MM, 1987, PLANT PHYSIOL, V84, P692, DOI 10.1104/pp.84.3.692
   LAL R, 1974, PLANT SOIL, V40, P129, DOI 10.1007/BF00011415
   Li Q, 2018, FIELD CROP RES, V221, P50, DOI 10.1016/j.fcr.2018.02.017
   Liu XG, 2022, SCI HORTIC-AMSTERDAM, V291, DOI 10.1016/j.scienta.2021.110564
   Liu YQ, 2014, PLOS ONE, V9, DOI [10.1371/journal.pone.0087094, 10.1371/journal.pone.0085282, 10.1371/journal.pone.0090942]
   López R, 2014, SOIL TILL RES, V143, P155, DOI 10.1016/j.still.2014.06.004
   Luo LanPing Luo LanPing, 2011, Acta Agronomica Sinica, V37, P1049, DOI 10.3724/SP.J.1006.2011.01049
   Lv QQ, 2023, AGRONOMY-BASEL, V13, DOI 10.3390/agronomy13020413
   Mademba-Sy F, 2003, J HORTIC SCI BIOTECH, V78, P617, DOI 10.1080/14620316.2003.11511673
   Marzouk HA, 2023, BUILDINGS-BASEL, V13, DOI 10.3390/buildings13092394
   McCarty L. B., 2016, Applied soil physical properties, drainage, and irrigation strategies, DOI [https://doi.org/10.1007/978-3-319-24226-2, DOI 10.1007/978-3-319-24226-2, 10.1007/978-3-319-24226-2]
   Melgar JC, 2010, HORTSCIENCE, V45, P271, DOI 10.21273/HORTSCI.45.2.271
   Mira-García AB, 2023, PLANTS-BASEL, V12, DOI 10.3390/plants12030503
   Mossad A, 2020, AGRONOMY-BASEL, V10, DOI 10.3390/agronomy10020164
   Musa A., 2019, Equity J. Sci. Technol, V6, P14
   Pan J, 2012, J PHYS CHEM B, V116, P2014, DOI 10.1021/jp212441b
   Patil D. R., 2002, Annals of Plant Physiology, V16, P200
   Pontius J., 2024, Environmental problem solving in an age of climate change: volume one: basic tools and techniques, P87, DOI [10.1007/978-3-031-48762-08, DOI 10.1007/978-3-031-48762-08]
   Ramos TB, 2024, IRRIGATION SCI, V42, P525, DOI 10.1007/s00271-024-00924-8
   Rannu RP, 2018, INT J AGRON, V2018, DOI 10.1155/2018/2903706
   Ricart S, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13052473
   ROBBINS SH, 1986, COMMUN SOIL SCI PLAN, V17, P457, DOI 10.1080/00103628609367727
   Shirgure P., 2012, Agric. Eng. Today, V36, P21
   Singh KR, 2019, ENVIRON EARTH SCI, V78, DOI 10.1007/s12665-018-7998-x
   Singh R, 2007, SCI HORTIC-AMSTERDAM, V111, P344, DOI 10.1016/j.scienta.2006.11.002
   SNEDECOR G W, 1980
   SOLTANPOUR PN, 1977, COMMUN SOIL SCI PLAN, V8, P195, DOI 10.1080/00103627709366714
   Song XL, 2017, AGR WATER MANAGE, V184, P170, DOI 10.1016/j.agwat.2017.02.005
   Ssali H, 2003, NUTR CYCL AGROECOSYS, V65, P141, DOI 10.1023/A:1022184927506
   Suo GD, 2019, SCI HORTIC-AMSTERDAM, V246, P643, DOI 10.1016/j.scienta.2018.11.028
   Sykes SR, 2011, SCI HORTIC-AMSTERDAM, V128, P443, DOI 10.1016/j.scienta.2011.02.012
   Ullah I., 2022, Mulching in Agroecosystems: Plants, Soil & Environment, P289
   United States Department of Agriculture (USDA), 2022, Citrus Annual
   Vijay Kumar Vijay Kumar, 2016, Indian Journal of Ecology, V43, P238
   VONWETTSTEIN D, 1957, EXP CELL RES, V12, P427, DOI 10.1016/0014-4827(57)90165-9
   Wang YJ, 2009, AGR WATER MANAGE, V96, P374, DOI 10.1016/j.agwat.2008.09.012
   WICKS GA, 1994, WEED SCI, V42, P141, DOI 10.1017/S0043174500084307
   Wright G.C., 2000, Coop. Ext. Serv. Univ. Ariz., P1
   Yadvinder-Singh, 2004, SOIL SCI SOC AM J, V68, P845
   Yan FJ, 2023, FRONT PLANT SCI, V14, DOI 10.3389/fpls.2023.1170739
   Yang XF, 2023, WATER-SUI, V15, DOI 10.3390/w15050924
   Yu YY, 2018, EUR J AGRON, V99, P138, DOI 10.1016/j.eja.2018.07.005
   Zekri M., 2011, Citrus Industry, P1
   Zhang GuiFu Zhang GuiFu, 2014, American Journal of Plant Sciences, V5, P3829
   Zhang JX, 2023, AGR WATER MANAGE, V288, DOI 10.1016/j.agwat.2023.108453
   Zhang L, 2024, AGR FOREST METEOROL, V349, DOI 10.1016/j.agrformet.2024.109963
   Zhang WQ, 2022, SOIL TILL RES, V221, DOI 10.1016/j.still.2022.105392
   Zhao HB, 2024, J INTEGR AGR, V23, P3174, DOI 10.1016/j.jia.2024.01.008
NR 81
TC 2
Z9 2
U1 4
U2 4
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0378-3774
EI 1873-2283
J9 AGR WATER MANAGE
JI Agric. Water Manage.
PD JUN 1
PY 2024
VL 298
AR 108862
DI 10.1016/j.agwat.2024.108862
EA MAY 2024
PG 15
WC Agronomy; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Water Resources
GA C6S4G
UT WOS:001290649300001
OA hybrid
DA 2025-01-10
ER

PT J
AU Hillier, JK
   van Meeteren, M
AF Hillier, John K.
   van Meeteren, Michiel
TI Co-RISK: a tool to co-create impactful university-industry projects for
   natural hazard risk mitigation
SO GEOSCIENCE COMMUNICATION
LA English
DT Article
ID TRANSLATION; KNOWLEDGE; SCIENCE; COOPETITION; MANAGEMENT; FRAMEWORK;
   NETWORKS; PARADOX; CITY
AB Translation of geoscience research into tangible changes, such as modified decisions, processes, or policy, in the wider world is an important yet notably difficult process. Illustratively, university-based scientists and professionals work on different timescales, seek different insights, and may have a substantial cognitive distance between them. The work on Co-RISK reported in this paper is motivated by an ongoing need for mechanisms to aid this translation process. Co-RISK is an accessible (i.e. open access, paper based, zero cost) toolkit for use by stakeholder groups within workshops. Co-RISK has been developed to aid the co-creation of collaborative inter-organisational projects to translate risk-related science into modified actions. It is shaped to avoid adding to a proliferation in increasingly complex frameworks for assessing natural hazard risk and is given a robust basis by incorporating paradox theory from organisation studies, which deal with navigating the genuine tensions between industry and research organisations that stem from their differing roles. Specifically designed to ameliorate the organisational paradox, a Co-RISK workshop draws up "maps" including key stakeholders (e.g. regulator, insurer, university) and their positionality (e.g. barriers, concerns, motivations) and identifies exactly the points where science might modify actions. Ultimately a Co-RISK workshop drafts simple and tailored project-specific frameworks that span from climate to hazard, to risk, to implications of that risk (e.g. solvency). The action research approach used to design Co-RISK, its implementation in a trial session for the insurance sector, and its intellectual contribution are described and evaluated. The initial Co-RISK workshop was well received so it is envisaged to be applicable to other sectors (i.e. transport infrastructure, utilities, government). Joint endeavours enabled by Co-RISK could fulfil the genuine need to quickly convert the latest insights from environmental research into real-world climate change adaptation strategies.
C1 [Hillier, John K.; van Meeteren, Michiel] Loughborough Univ, Geog & Environm, Loughborough LE1 3TU, England.
   [van Meeteren, Michiel] Univ Utrecht, Dept Human Geog & Spatial Planning, NL-3584 CB Utrecht, Netherlands.
C3 Loughborough University; Utrecht University
RP Hillier, JK (corresponding author), Loughborough Univ, Geog & Environm, Loughborough LE1 3TU, England.
EM j.hillier@lboro.ac.uk
RI van Meeteren, Michiel/I-2396-2019; Hillier, John/D-1484-2009
OI Hillier, John/0000-0002-0221-8383; van Meeteren,
   Michiel/0000-0001-8188-1660
FU UK Research and Innovation [NE/R014361/1, NE/V018698/1]; NERC
   [NE/V018698/1] Funding Source: UKRI
FX This research has been supported by the UK Research and Innovation
   (grant no. NE/R014361/1 and NE/V018698/1).
CR [Anonymous], 2017, Oxford Handbook of Organizational Paradox
   [Anonymous], 2023, Financial Times22 October
   Bamzai-Dodson A, 2021, WEATHER CLIM SOC, V13, P1027, DOI 10.1175/WCAS-D-21-0046.1
   Bank of England, 2019, General Insurance Stress Test 2019
   Bank of England, 2022, General Insurance Stress Test 2022
   Bassens D, 2021, URBAN STUD, V58, P1286, DOI 10.1177/0042098020908715
   Bassens D, 2015, PROG HUM GEOG, V39, P752, DOI 10.1177/0309132514558441
   Beckert J., 2016, Imagined Futures: Fictional Expectations and Capitalist Dynamics
   Bengtsson M, 2000, IND MARKET MANAG, V29, P411, DOI 10.1016/S0019-8501(99)00067-X
   Bevacqua E, 2021, EARTHS FUTURE, V9, DOI 10.1029/2021EF002340
   BIS, 2010, URN 10/1257
   Bostrom Magnus., 2017, Environmental Sociology, V3, P6, DOI [DOI 10.1080/23251042.2016.1237336, 10.1080/23251042.2016.1237336]
   Bourne L., 2010, Construction Stakeholder Manageemnt, P99, DOI [DOI 10.1002/9781444315349, 10.1002/9781444315349]
   Brandenburger A., 1998, Co-Opetition: 1. A Revolutionary Mindset That Combines Competition and Co-Operation. 2. The Game Theory Strategy Thats Changing the Game of Business, VPbk. ed.
   Carmine S, 2023, J BUS ETHICS, V184, P139, DOI 10.1007/s10551-022-05112-2
   Clegg SR, 2002, HUM RELAT, V55, P483, DOI 10.1177/0018726702055005425
   Cook GAS, 2007, ENVIRON PLANN A, V39, P1325, DOI 10.1068/a37380
   Cordner A, 2015, SCI TECHNOL HUM VAL, V40, P915, DOI 10.1177/0162243915584164
   Cremen G, 2022, SCI TOTAL ENVIRON, V817, DOI 10.1016/j.scitotenv.2021.152552
   D'Este P, 2007, RES POLICY, V36, P1295, DOI 10.1016/j.respol.2007.05.002
   D'Este P, 2011, J TECHNOL TRANSFER, V36, P316, DOI 10.1007/s10961-010-9153-z
   De Luca P, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa868e
   Denscombe M., 2010, GOOD RES GUIDE SMALL
   Dixon R., 2017, European windstorm: Needs of the insurance industry, P21
   Dowling D. A., 2015, BIS/15/352
   Evans D., 2016, The Conversation
   Evans JP, 2006, ENVIRON PLANN A, V38, P517, DOI 10.1068/a37393
   Fahy LA, 2022, LAW POLICY, V44, P162, DOI 10.1111/lapo.12184
   Fernandez AS, 2016, IND MARKET MANAG, V53, P66, DOI 10.1016/j.indmarman.2015.11.010
   FloodRe, 2019, Flood Research Needs of the (Re)insurance sector
   Gilad S., 2012, Discussion paper no. 70
   Glier H. L., 2020, Human Geography, V14, P96, DOI [10.1177/1942778620979317, DOI 10.1177/1942778620979317]
   Gnyawali D.R., 2008, Co-opetition: Promises and challenges, V21st, P386
   Grabher G, 2004, EUR URBAN REG STUD, V11, P103, DOI 10.1177/0969776404041417
   Gregg JS, 2020, ENERGIES, V13, DOI 10.3390/en13030651
   Gulati R, 1995, ADMIN SCI QUART, V40, P619, DOI 10.2307/2393756
   Guthrie K.L., 2010, The Journal of Educators Online, V7, P1
   Hadzilicos G., Bank Underground
   Hess M, 2004, PROG HUM GEOG, V28, P165, DOI 10.1191/0309132504ph479oa
   Hillier JK, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/10/104003
   Hillier JK, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/abbc3d
   Hillier J. K., 2019, Geosci. Commun, V2, P1, DOI [10.5194/gc-2-1-2019, DOI 10.5194/GC-2-1-2019]
   Hillier J. K., 2019, Figshare data set, DOI [10.17028/rd.lboro.c.4322666, DOI 10.17028/RD.LBORO.C.4322666]
   Hutchinson D., 2018, Transformative Dialogues: Teaching & Learning Journal, V11, P1
   Kemmis StephenRobin McTaggart Rhonda Nixon., 2013, The Action Research Planner: Doing Critical Participatory Action Research
   Kim J, 2009, BRIT J MANAGE, V20, P363, DOI 10.1111/j.1467-8551.2008.00580.x
   Kolb D.A., 2014, EXPERIENTIAL LEARNIN
   Kujala J, 2022, BUS SOC, V61, P1136, DOI 10.1177/00076503211066595
   Lam A, 2011, RES POLICY, V40, P1354, DOI 10.1016/j.respol.2011.09.002
   Lanzing J.W. A., 1998, Journal of Visual Literacy, V18, P1, DOI DOI 10.1080/23796529.1998.11674524
   Lewis MW, 2000, ACAD MANAGE REV, V25, P760, DOI 10.2307/259204
   Lorinc M., 2023, Aon (Impact Forecasting)
   Margalida A, 2015, ENVIRON SCI TECHNOL, V49, P2600, DOI 10.1021/acs.est.5b00145
   Mendelow A.L., 1981, P 2 INT C INFORM SYS, P407
   Miller TR, 2008, ECOL SOC, V13
   Mitchell-Wallace K., 2017, NATURAL CATASTROPHE
   Mowrey D. C., 2004, Ivory tower and industrial innovation: University-industry technology before and after the Bayh-Doyle Act
   Nassar JAB, 2021, HYDROL EARTH SYST SC, V25, P1283, DOI 10.5194/hess-25-1283-2021
   Nooteboom B., 2004, INTERFIRM COLLABORAT
   Norstrom AV, 2020, NAT SUSTAIN, V3, P182, DOI 10.1038/s41893-019-0448-2
   Ostrom E., 2010, POLYCENTRIC APPROACH
   Oxley JE, 2004, STRATEGIC MANAGE J, V25, P723, DOI 10.1002/smj.391
   Perkmann M, 2007, INT J MANAG REV, V9, P259, DOI 10.1111/j.1468-2370.2007.00225.x
   Phillipson J, 2012, J ENVIRON MANAGE, V95, P56, DOI 10.1016/j.jenvman.2011.10.005
   PRA, 2019, A framework for assessing financial impacts of physical climate change: A practitioner's aide for the general insurance sector
   Raymond CM, 2010, J ENVIRON MANAGE, V91, P1766, DOI 10.1016/j.jenvman.2010.03.023
   Raza-Ullah T, 2014, IND MARKET MANAG, V43, P189, DOI 10.1016/j.indmarman.2013.11.001
   Reed M.S., 2018, The research impact handbook, V2nd edn
   Reed MS, 2008, BIOL CONSERV, V141, P2417, DOI 10.1016/j.biocon.2008.07.014
   Ritala P, 2012, BRIT J MANAGE, V23, P307, DOI 10.1111/j.1467-8551.2011.00741.x
   Romance N.R., 1999, COLL TEACH, V47, P74, DOI DOI 10.1080/87567559909595789
   Scott A, 2018, LAND USE POLICY, V70, P232, DOI 10.1016/j.landusepol.2017.10.002
   Simpson NP, 2021, ONE EARTH, V4, P489, DOI 10.1016/j.oneear.2021.03.005
   Smith W. K., 2017, The Oxford Handbook of Organizational Paradox, DOI [10.1093/oxfordhb/9780198754428.001.0001, DOI 10.1093/OXFORDHB/9780198754428.001.0001]
   Stadtler L, 2016, ORGAN STUD, V37, P655, DOI 10.1177/0170840615622066
   Taylor ZJ, 2020, CAMB J REG ECON SOC, V13, P405, DOI 10.1093/cjres/rsaa015
   Thistlethwaite J, 2012, BUS SOC, V51, P121, DOI 10.1177/0007650311427595
   Timms PD, 2022, GEOGRAPHY, V107, P26, DOI 10.1080/00167487.2022.2019494
   UKRI, 2022, 2022-23 to 2024-25 budget allocation for UK Research and Innovation
   UNEP, 2021, Insuring the climate transition: Enhancing the insurance industry's assessment of climate change futures
   Van Meeteren M., 2024, Finance and Space, V1, DOI [10.1080/2833115X.2023.2258046, DOI 10.1080/2833115X.2023.2258046]
   van Meeteren M, 2015, TIJDSCHR ECON SOC GE, V106, P471, DOI 10.1111/tesg.12121
   Walker DHT, 2008, CONSTR MANAG ECON, V26, P645, DOI 10.1080/01446190701882390
   Ward V, 2009, J HEALTH SERV RES PO, V14, P156, DOI 10.1258/jhsrp.2009.008120
   Weinkle J, 2020, REGUL GOV, V14, P637, DOI 10.1111/rego.12255
   Wenger E., 1998, Communities of Practice: Learning, Meaning, and Identity, DOI DOI 10.1017/CBO9780511803932
   Williams TG, 2022, JASSS-J ARTIF SOC S, V25, DOI 10.18564/jasss.4816
   WSP, 2020, Report number: 70051310
NR 88
TC 2
Z9 2
U1 3
U2 3
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 2569-7102
EI 2569-7110
J9 GEOSCI COMMUN
JI Geosci. Commun.
PD FEB 1
PY 2024
VL 7
IS 1
BP 35
EP 56
DI 10.5194/gc-7-35-2024
PG 22
WC Education & Educational Research; Education, Scientific Disciplines;
   Geosciences, Multidisciplinary
WE Emerging Sources Citation Index (ESCI)
SC Education & Educational Research; Geology
GA A6Y5Q
UT WOS:001283976600001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Tomczyk, P
   Mastalerek, K
   Wiatkowski, M
   Kuriqi, A
   Jurasz, J
AF Tomczyk, Pawel
   Mastalerek, Krzysztof
   Wiatkowski, Miroslaw
   Kuriqi, Alban
   Jurasz, Jakub
TI Assessment of a Francis Micro Hydro Turbine Performance Installed in a
   Wastewater Treatment Plant
SO ENERGIES
LA English
DT Article
DE turbines; hydropower plants; wastewater systems; energy potential;
   renewable energy sources; micro hydro turbine; Poland
ID ENERGY RECOVERY; POWER; TECHNOLOGIES; FEASIBILITY; OPERATION; DESIGN;
   SYSTEM; SPEED
AB The purpose of this research work was to examine the hydroelectric potential of wastewater treatment plants by harnessing the kinetic and/or potential energy of treated wastewater for electricity generation. Such a concept encapsulates the essence of renewable energy and resonates with international sustainable development mandates and climate change adaptation strategies. The primary objective was to analyze the performance parameters of the Francis turbine, a key component of this energy generation system. An experimental analysis encompassed model tests on the Francis turbine, simulating varied flow conditions using the GUNT turbine. Additionally, historical data from the Torun Wastewater Treatment Plant (WWTP) 2018 annual wastewater discharge were employed to validate the findings and shed light on real-world applications. The tested efficiency of the Francis turbine peaked at 64.76%, notably below the literature-reported 80%. The turbine system's overall efficiency was approximately 53%, juxtaposed against the theoretical value of 66.35%. With respect to the Torun WWTP data, the turbine's power output was highest at 24.82 kW during maximum wastewater flow, resulting in a power production of 150.29 MWh per year. The observed turbine efficiencies were consistent with the previously documented range of 30% to 96%. The turbine displayed optimal outputs during heightened flow rates and maximized production at more frequent, lower flow rates throughout the year. Implementing such turbines in wastewater treatment plants not only aligns with global renewable energy goals but also boasts lower construction costs and environmental impacts, primarily due to the utilization of existing infrastructure. Furthermore, wastewater flow consistency counters the seasonal variability seen in conventional water treatment plants. These findings pave the way for more energy-efficient design recommendations for turbines within wastewater treatment and hydropower plants.
C1 [Tomczyk, Pawel; Wiatkowski, Miroslaw] Wroclaw Univ Environm & Life Sci, Inst Environm Engn, Pl Grunwaldzki 24, PL-50363 Wroclaw, Poland.
   [Mastalerek, Krzysztof] Eneris Alternat Fuels Sp z o o, Koszykowa 65, PL-00667 Warsaw, Poland.
   [Kuriqi, Alban] Univ Lisbon, Civil Engn Res & Innovat Sustainabil CERIS, Inst Super Tecn, P-1049001 Lisbon, Portugal.
   [Jurasz, Jakub] Wroclaw Univ Sci & Technol, Dept Water Supply & Sewerage Syst, Pl Grunwaldzki 9, PL-50384 Wroclaw, Poland.
C3 Wroclaw University of Environmental & Life Sciences; Universidade de
   Lisboa; Wroclaw University of Science & Technology
RP Wiatkowski, M (corresponding author), Wroclaw Univ Environm & Life Sci, Inst Environm Engn, Pl Grunwaldzki 24, PL-50363 Wroclaw, Poland.
EM pawel.tomczyk@upwr.edu.pl; krzysztof.mastalerek@wp.pl;
   miroslaw.wiatkowski@upwr.edu.pl; albankuriqi@gmail.com;
   jakub.jurasz@pwr.edu.pl
RI Tomczyk, Paweł/L-2897-2018; Jurasz, Jakub/T-1759-2017; Wiatkowski,
   Mirosław/ABF-2760-2020; Wiatkowski, Miroslaw/B-6495-2017; Kuriqi,
   Alban/C-2913-2015
OI Wiatkowski, Miroslaw/0000-0002-5155-0593; Kuriqi,
   Alban/0000-0001-7464-8377; Tomczyk, Pawel/0000-0002-2483-0143
FU Foundation for Science and Technology [UIDB/04625/2020]
FX We would like to thank GUNT Geraetebau GmbH in Barsbuettel, represented
   by Wojciech Szwed, for the opportunity to use the Francis HM 150.20
   turbine for its model tests, which were used in the article. We would
   also like to thank Torunskie Wodociagi Sp. z o. o. for providing data on
   technologies used in the WWTP in Torun (including those related to the
   hydropower plant) and wastewater flow in 2018. Alban Kuriqi is grateful
   for the Foundation for Science and Technology's support through funding
   UIDB/04625/2020 from the research unit CERIS.
CR Adhikari R, 2018, ENERGIES, V11, DOI 10.3390/en11020267
   Ak M, 2017, RENEW SUST ENERG REV, V68, P727, DOI 10.1016/j.rser.2016.10.010
   Akmirza Z.A., 2017, Suleyman Demirel Universitesi Fen Bilimleri Enstitusu Dergisi, V21, P380, DOI [10.19113/sdufbed.78149, DOI 10.19113/SDUFBED.78149]
   Andrade AD, 2015, RENEW SUST ENERG REV, V52, P1413, DOI 10.1016/j.rser.2015.07.152
   [Anonymous], 2021, Direccion General del Agua-Secretaria de Estado de Medio Ambiente-Ministerio para la Transicion Ecologica y el Reto Demografico, Plan Nacional de Depuracion, Saneamiento, Eficiencia, Ahorro y Reutilizacion PLAN DSEAR
   Borzooei S, 2019, SCI TOTAL ENVIRON, V691, P1182, DOI 10.1016/j.scitotenv.2019.07.241
   Bousquet C, 2017, RENEW ENERG, V113, P64, DOI 10.1016/j.renene.2017.05.062
   Breza-Boruta B, 2007, POL J ENVIRON STUD, V16, P663
   Carvalho MD, 2012, ENERGY, V40, P19, DOI 10.1016/j.energy.2012.01.012
   Chae KJ, 2015, ENERG CONVERS MANAGE, V101, P681, DOI 10.1016/j.enconman.2015.06.016
   Chae KJ, 2013, ENERG CONVERS MANAGE, V75, P664, DOI 10.1016/j.enconman.2013.08.028
   Chen SQ, 2013, BIORESOURCE TECHNOL, V144, P296, DOI 10.1016/j.biortech.2013.06.128
   Daneshgar S, 2022, J ENERGY STORAGE, V46, DOI 10.1016/j.est.2021.103919
   Darries G, 2022, 30TH SOUTHERN AFRICAN UNIVERSITIES POWER ENGINEERING CONFERENCE (SAUPEC 2022), DOI 10.1109/SAUPEC55179.2022.9730667
   Du JY, 2022, ENERGY, V256, DOI 10.1016/j.energy.2022.124616
   El-Din M. G., 2009, Fluid power engineering., V1st
   Elbatran AH, 2015, RENEW SUST ENERG REV, V43, P40, DOI 10.1016/j.rser.2014.11.045
   Fu T, 2016, RENEW ENERG, V99, P1244, DOI 10.1016/j.renene.2016.08.029
   Gallagher J, 2015, RENEW ENERG, V81, P808, DOI 10.1016/j.renene.2015.03.078
   Gandiglio M, 2017, FRONT ENV SCI-SWITZ, V5, DOI 10.3389/fenvs.2017.00070
   Górka J, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14137982
   Grubert EA, 2016, ADV WATER RESOUR, V96, P88, DOI 10.1016/j.advwatres.2016.07.004
   GUNT Geraetebau GmbH, HM 150.20-Operating principle of a Francis turbine
   Guzmán-Avalos P, 2023, ALEX ENG J, V62, P555, DOI 10.1016/j.aej.2022.07.004
   Hatata AY, 2019, ENERGY STRATEG REV, V24, P300, DOI 10.1016/j.esr.2019.04.013
   Iglinski B., 2019, Int J Energy Water Resour, V3, P61, DOI [10.1007/s42108-019-00008-w, DOI 10.1007/S42108-019-00008-W]
   International Energy Agency, NET ZER 2050 ROADM G
   International Hydropower Association, 2022, Hydropower Status Report Contents Contents
   Jawahar CP, 2017, RENEW SUST ENERG REV, V72, P882, DOI 10.1016/j.rser.2017.01.133
   Kan K, 2022, ENERGY, V255, DOI 10.1016/j.energy.2022.124532
   Khan M. A., 2014, Research Journal of Applied Sciences, Engineering and Technology, V8, P821
   Kim J, 2018, ENERGY, V150, P702, DOI 10.1016/j.energy.2018.03.006
   Kim SJ, 2019, RENEW ENERG, V134, P807, DOI 10.1016/j.renene.2018.11.066
   Krzemianowski Z, 2021, RENEW ENERG, V169, P1210, DOI 10.1016/j.renene.2021.01.095
   Kuriqi A, 2019, APPL ENERG, V256, DOI 10.1016/j.apenergy.2019.113980
   Lee D, 2022, NANO ENERGY, V102, DOI 10.1016/j.nanoen.2022.107638
   Lewis BJ, 2014, IOP C SER EARTH ENV, V22, DOI 10.1088/1755-1315/22/1/012020
   Liu M, 2022, FRONT ENERGY RES, V9, DOI 10.3389/fenrg.2021.818118
   Liu YB, 2020, ENERGY, V206, DOI 10.1016/j.energy.2020.118084
   Llacer-Iglesias RM, 2021, WATER-SUI, V13, DOI 10.3390/w13223259
   Loots I, 2015, RENEW SUST ENERG REV, V50, P1254, DOI 10.1016/j.rser.2015.05.064
   Macedo HE, 2021, EARTH SYST SCI DATA, P2021, DOI [10.5194/essd-2021-214, DOI 10.5194/ESSD-2021-214]
   Margeta J, 2010, RENEW SUST ENERG REV, V14, P1580, DOI 10.1016/j.rser.2010.01.019
   McNabola A, 2014, WATER POLICY, V16, P168, DOI 10.2166/wp.2013.164
   García AM, 2021, WATER-SUI, V13, DOI 10.3390/w13050691
   Mikhailov VN, 2010, WATER RESOUR+, V37, P145, DOI 10.1134/S009780781002003X
   Okot DK, 2013, RENEW SUST ENERG REV, V26, P515, DOI 10.1016/j.rser.2013.05.006
   Ottmar E., 2011, "Hydropower" Renewable Energy Sources Climate Change Mitigation IPCC Special Report on Renewable Energy Sources Climate Change Mitigation
   ourworldindata, Hydropower Generation
   Paluszak Z, 2003, POL J ENVIRON STUD, V12, P345
   Power C, 2017, J ENERG ENG, V143, DOI 10.1061/(ASCE)EY.1943-7897.0000383
   Power C, 2014, SUSTAIN ENERGY TECHN, V7, P166, DOI 10.1016/j.seta.2014.06.001
   Punys P, 2022, ENERGIES, V15, DOI 10.3390/en15145173
   Qian ZD, 2016, RENEW ENERG, V99, P1146, DOI 10.1016/j.renene.2016.08.020
   Quaranta E, 2022, WATER RESOUR MANAG, V36, P1745, DOI 10.1007/s11269-022-03084-6
   Raczkowska M., 2016, Master Thesis
   Rojas J, 2020, CONTROL ENG PRACT, V95, DOI 10.1016/j.conengprac.2019.104226
   Sammartano V, 2016, J HYDRAUL RES, V54, P321, DOI 10.1080/00221686.2016.1147500
   Sari MA, 2018, J ENVIRON MANAGE, V228, P416, DOI 10.1016/j.jenvman.2018.08.078
   Sarpong G, 2020, ENERG CONVERS MANAGE, V222, DOI 10.1016/j.enconman.2020.113147
   Shen YW, 2015, RENEW SUST ENERG REV, V50, P346, DOI 10.1016/j.rser.2015.04.129
   Sibtain M, 2021, ENERGY STRATEG REV, V38, DOI 10.1016/j.esr.2021.100728
   Sinagra M, 2022, WATER-SUI, V14, DOI 10.3390/w14101649
   Singh VK, 2017, RENEW SUST ENERG REV, V69, P610, DOI 10.1016/j.rser.2016.11.169
   Singh V, 2020, J CLEAN PROD, V276, DOI 10.1016/j.jclepro.2020.122538
   Södergren K, 2021, WATER-SUI, V13, DOI 10.3390/w13060824
   Timilsina AB, 2018, CLEAN TECHNOL ENVIR, V20, P1737, DOI 10.1007/s10098-018-1589-0
   Tiwari G, 2020, MATER TODAY-PROC, V26, P1439, DOI 10.1016/j.matpr.2020.02.297
   Tomczyk P, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app122412882
   Tomczyk P, 2020, ARCH ENVIRON PROT, V46, P78, DOI 10.24425/aep.2020.135767
   Trivedi C, 2018, RENEW ENERG, V119, P447, DOI 10.1016/j.renene.2017.12.040
   Tsiakiri EP, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13137198
   USEPA Energy Efficiency in Water and Wastewater Facilities, 2013, A Guide to Developing and Implementing Greenhouse Gas Reduction Programs
   Venkatesh G, 2011, ENERGY, V36, P792, DOI 10.1016/j.energy.2010.12.040
   Wdowczyk A, 2023, WATER RESOUR IND, V29, DOI 10.1016/j.wri.2023.100203
   Wdowczyk A, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19106035
   Woolson R. F., 2007, Wiley encyclopedia of clinical trials, P1, DOI 10.1002/9780471462422.eoct979
   Wu HN, 2012, OCEAN ENG, V50, P23, DOI 10.1016/j.oceaneng.2012.04.003
   Yüksel I, 2010, RENEW SUST ENERG REV, V14, P462, DOI 10.1016/j.rser.2009.07.025
   Zhou DQ, 2017, RENEW SUST ENERG REV, V78, P23, DOI 10.1016/j.rser.2017.04.086
   Zhou Y, 2015, WATER SCI TECHNOL, V72, P2139, DOI 10.2166/wst.2015.435
NR 81
TC 3
Z9 3
U1 2
U2 6
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1996-1073
J9 ENERGIES
JI Energies
PD OCT
PY 2023
VL 16
IS 20
AR 7214
DI 10.3390/en16207214
PG 19
WC Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Energy & Fuels
GA W2HO9
UT WOS:001089895300001
OA gold
DA 2025-01-10
ER

PT J
AU Chanyau, L
   Rosenberg, E
AF Chanyau, Ludwig
   Rosenberg, Eureta
TI Women farmers leading and co-learning in an agroecology movement at the
   intersections of gender and climate
SO AGENDA-EMPOWERING WOMEN FOR GENDER EQUITY
LA English
DT Article
DE agroecology; climate change; women farmers; social learning; value
   creation
AB This study, carried out in the Eastern Cape Province of South Africa, was particularly interested in women farmers' access to social learning spaces for expanding their knowledge about farming in the context of climate change. Small-scale women and peasant farmers face historical intersectional inequalities as a result of the colonial and apartheid past which has continued to disadvantage women in the present through exclusion, limited or no access to finance, insecure or no land tenure, little bargaining power and unequal access to water. The gender prejudices and unequal access to resources experienced by women is brought into sharp relief by climate change. The article provides a case study of an agroecology movement led by women farmers that promotes climate-appropriate, low-cost farming practices using community and home gardens. The practices are tried out and further developed by women farmers themselves, relying on agroecology-informed extension services, open dialogue and the support of communities of practice. Unlike traditional top-down approaches to farmer learning common in public extension services, extension officers in the movement participate in creating conditions for co-learning and co-construction of new knowledge - that is, social learning - thus responding directly to their needs as farmers. The lead researcher joined in and observed farming and learning activities following an ethnographic approach. Farmers and other movement members were engaged in semi-structured interviews which explored the value derived from social learning (Wenger-Trayner & Wenger-Trayner 2020). The article concludes that the movement is responding to many of the intersectional challenges that women farmers in the Eastern Cape face. Further, its social learning approach holds potential for expanding women farmers' ability to provide for themselves and their communities and inform their climate change adaptation.
C1 [Chanyau, Ludwig] Rhodes Univ, Environm Learning Res Ctr, Grahamstown, South Africa.
   [Rosenberg, Eureta] Rhodes Univ, Environm & Sustainabil Educ Environm Learning Res, Grahamstown, South Korea.
C3 Rhodes University
RP Chanyau, L (corresponding author), Rhodes Univ, Environm Learning Res Ctr, Grahamstown, South Africa.
EM ludwigchanyau@gmail.com; e.rosenberg@ru.ac.za
RI Rosenberg, Eureta/JAC-9717-2023; Rosenberg, Eureta/H-1161-2017
OI Rosenberg, Eureta/0000-0001-7421-7120
CR Akeredolu M., 2008, S Afr. Jnl. Agric. Ext., V37, P27
   Altieri MA, 2020, J PEASANT STUD, V47, P881, DOI 10.1080/03066150.2020.1782891
   [Anonymous], 2011, The State of Food and Agriculture
   Aphane M, 2010, AGENDA-EMPOWER WOMEN, V24, P66, DOI 10.1080/10130950.2010.9676310
   Chanyau L., THESIS RHODES U E CA
   Cobban L., 2017, GREEN SKILLS CLIMATE
   Conrow J., 2020, AGROECOLOGY MUST BE
   Courtois P, 2015, AM J AGR ECON, V97, P953, DOI 10.1093/ajae/aau051
   Denton F., 2002, Gender and Development, V10, P10, DOI 10.1080/13552070215903
   Fisher R., 2017, LOCAL ACTION BIODIVE
   Gaard G, 2015, WOMEN STUD INT FORUM, V49, P20, DOI 10.1016/j.wsif.2015.02.004
   Gale NK, 2013, BMC MED RES METHODOL, V13, DOI 10.1186/1471-2288-13-117
   Glazebrook T, 2011, HYPATIA, V26, P762, DOI 10.1111/j.1527-2001.2011.01212.x
   Gliessman S, 2018, AGROECOL SUST FOOD, V42, P599, DOI 10.1080/21683565.2018.1432329
   Graciele Seibert I., 2018, FEMINISM THERE IS NO
   Greenberg S., 2021, The State of the Debate on Agroecology in South Africa: A Scan of Actors, Discourses, and Policies
   Jost C, 2016, CLIM DEV, V8, P133, DOI 10.1080/17565529.2015.1050978
   Karubanga G., 2016, COGENT FOOD AGR, V2, P1274944, DOI https://doi.org/10.1080/23311932.2016.1274944
   Kelly E, 2017, J RURAL STUD, V56, P156, DOI 10.1016/j.jrurstud.2017.08.021
   Manfre C., 2013, Exploring the promise of information and communication technologies for women farmers in Kenya
   Maziya M., 2020, S Afr. Jnl. Agric. Ext., V48, P21, DOI 10.17159/2413-3221/2020/v48n2a535
   Mokhele K., 2022, THESIS U JOHANNESBUR
   Mugwanya N, 2019, OUTLOOK AGR, V48, P113, DOI 10.1177/0030727019854761
   Muñoz EFP, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13063096
   Mzuyanda C., 2022, S Afr. Jnl. Agric. Ext., V50, P60, DOI 10.17159/2413-3221/2022/v50n1a14403
   Othman MS, 2020, DEV PRACT, V30, P586, DOI 10.1080/09614524.2020.1764502
   Loki O., 2020, S Afr. Jnl. Agric. Ext., V48, P84, DOI 10.17159/2413-3221/2020/v48n1a528
   Pesanayi T., 2018, THESIS RHODES U
   Popoola OO, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12145846
   Redding S., 2020, FEMALE ENTREPRENEURS, P433, DOI [10.1007/978-3-030-33412-3_18, DOI 10.1007/978-3-030-33412-3_18]
   Sachs C, 2010, SIGNS, V35, P277, DOI 10.1086/605618
   Satyavathi CT, 2010, GEND TECHNOL DEV, V14, P441, DOI 10.1177/097185241001400308
   Sebola MP, 2018, TD-J TRANSDISCIPL RE, V14, DOI 10.4102/td.v14i1.555
   Sinxo Z., 2022, FOOD MZANSI 0531
   Van de Velde P., 2020, INVISIBLE FARMERS WH
   van den Berg Henk, 2021, Journal of Agricultural Education and Extension, V27, P341, DOI 10.1080/1389224X.2020.1858891
   Velazquez B., 2017, AGR FOOD ECON, V5, P16, DOI [10.1186/s40100-017-0084-y, DOI 10.1186/S40100-017-0084-Y]
   Waters-Bayer A., 2015, Agriculture and Food Security, V4, P4, DOI DOI 10.1186/S40066-015-0023-7
   Wenger E, 2000, ORGANIZATION, V7, P225, DOI 10.1177/135050840072002
   Wenger-Trayner E., 2020, Learning to Make a Difference: Value Creation in Social Learning Spaces, DOI DOI 10.1017/9781108677431
NR 40
TC 2
Z9 2
U1 2
U2 9
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1013-0950
EI 2158-978X
J9 AGENDA-EMPOWER WOMEN
JI Agenda-Empower. Women Gend. Equity
PD JUL 3
PY 2023
VL 37
IS 3
SI SI
BP 124
EP 140
DI 10.1080/10130950.2023.2239313
EA JUL 2023
PG 17
WC Women's Studies
WE Emerging Sources Citation Index (ESCI)
SC Women's Studies
GA Y2TO9
UT WOS:001040876700001
DA 2025-01-10
ER

PT J
AU Luengwilai, K
   Yu, JW
   Jiménez, RC
   Thitisaksakul, M
   Vega, A
   Dong, SY
   Beckles, DM
AF Luengwilai, Kietsuda
   Yu, Jingwei
   Jimenez, Randi C.
   Thitisaksakul, Maysaya
   Vega, Andrea
   Dong, Shaoyun
   Beckles, Diane M.
TI Ectopic Expression of <i>Arabidopsis thaliana zDof1.3</i> in Tomato
   (<i>Solanum lycopersicum</i> L.) Is Associated with Improved Greenhouse
   Productivity and Enhanced Carbon and Nitrogen Use
SO INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
LA English
DT Article
DE Dof; transcription factor; tomato; carbohydrates; nitrogen metabolism
ID DOF TRANSCRIPTION FACTOR; QUANTITATIVE TRAIT VARIATION; FINGER MILLET;
   GENE-EXPRESSION; FLOWERING TIME; FOOD SECURITY; FACTOR FAMILY;
   ARABIDOPSIS; STARCH; GROWTH
AB A large collection of transgenic tomato lines, each ectopically expressing a different Arabidopsis thaliana transcription factor, was screened for variants with alterations in leaf starch. Such lines may be affected in carbon partitioning, and in allocation to the sinks. We focused on 'L4080', which harbored an A. thaliana zDof (DNA-binding one zinc finger) isoform 1.3 (AtzDof1.3) gene, and which had a 2-4-fold higher starch-to-sucrose ratio in source leaves over the diel (p < 0.05). Our aim was to determine whether there were associated effects on productivity. L4080 plants were altered in nitrogen (N) and carbon (C) metabolism. The N-to-C ratio was higher in six-week-old L4080, and when treated with 1/10 N, L4080 growth was less inhibited compared to the wild-type and this was accompanied by faster root elongation (p < 0.05). The six-week-old L4080 acquired 42% more dry matter at 720 ppm CO2, compared to ambient CO2 (p < 0.05), while the wild-type (WT) remained unchanged. GC-MS-TOF data showed that L4080 source leaves were enriched in amino acids compared to the WT, and at 49 DPA, fruit had 25% greater mass, higher sucrose, and increased yield (25%; p < 0.05) compared to the WT. An Affymetrix cDNA array analysis suggested that only 0.39% of the 9000 cDNAs were altered by 1.5-fold (p < 0.01) in L4080 source leaves. C-14-labeling of fruit disks identified potential differences in 14-DPA fruit metabolism suggesting that post-transcriptional regulation was important. We conclude that AtzDof1.3 and the germplasm derived therefrom, should be investigated for their 'climate-change adaptive' potential.
C1 [Luengwilai, Kietsuda; Yu, Jingwei; Jimenez, Randi C.; Thitisaksakul, Maysaya; Dong, Shaoyun; Beckles, Diane M.] Univ Calif Davis, Dept Plant Sci, One Shields Ave, Davis, CA 95616 USA.
   [Vega, Andrea] Univ Adolfo Ibanez, Fac Engn & Sci, Ctr Appl Ecol & Sustainabil CAPES, Millennium Nucleus Dev Super Adaptable Plants MN, Santiago 7941169, Chile.
   [Luengwilai, Kietsuda] Kasetsart Univ, Fac Agr Kamphaeng Saen, Dept Hort Dept, Kamphaeng Saen Campus, Kamphaeng Saen 73140, Nakhon Pathom, Thailand.
   [Yu, Jingwei] Southern Univ Sci & Technol, Sch Life Sci, Inst Plant & Food Sci, Dept Biol, Shenzhen 518055, Peoples R China.
   [Jimenez, Randi C.] Calif Dept Food Agr, 3294 Meadowview Rd, Sacramento, CA 95832 USA.
   [Thitisaksakul, Maysaya] Khon Kaen Univ, Fac Sci, Dept Biochem, Khon Kaen 40002, Thailand.
   [Dong, Shaoyun] Chinese Acad Agr Sci, Inst Vegetable & Flowers, Beijing 10008, Peoples R China.
C3 University of California System; University of California Davis;
   Universidad Adolfo Ibanez; Kasetsart University; Southern University of
   Science & Technology; California Department of Food & Agriculture; Khon
   Kaen University; Chinese Academy of Agricultural Sciences; Institute of
   Vegetables & Flowers, CAAS
RP Beckles, DM (corresponding author), Univ Calif Davis, Dept Plant Sci, One Shields Ave, Davis, CA 95616 USA.
EM dmbeckles@ucdavis.edu
RI Vega, Andrea/Y-1874-2019
OI Thitisaksakul, Maysaya/0000-0003-1485-2610; Beckles,
   Diane/0000-0001-6336-1186; Dong, Shaoyun/0000-0002-8035-8656; Yu,
   Jingwei/0000-0003-4268-436X
FU UC BioSTAR, National Science Foundation [MCB 6011233]; USDA CSREES CRIS
   [CA-D*-PLS-7821-H]; France Berkeley Fund; Anandamahidol Foundation of
   Thailand; Paulden F. & Dorathea Knowles Scholarship; UC Davis
   Horticulture & Agronomy Graduate Group Scholarship; Henry A. Jastro
   Graduate Research Award; UC Plant Sciences Department; Horticulture &
   Agronomy Graduate Group at UC Davis; National Science Foundation;
   California Seed Association; Henry A. Jastro Graduate for Research
   Awards; ANID-FONDECYT [1211894]; ANID-Millennium Science Initiative
   Program [NCN2021_010]; ANID PIA/BASAL [FB0002]; CONICYT FONDECYT
   [117163]; Royal Thai Government; China Scholarship Council
FX This work was funded by UC BioSTAR, National Science Foundation MCB
   6011233, USDA CSREES CRIS Project #: CA-D*-PLS-7821-H and a France
   Berkeley Fund award to D.M.B. The Anandamahidol Foundation of Thailand
   supported K.L., J.Y. thanks the Paulden F. & Dorathea Knowles
   Scholarship, a UC Davis Horticulture & Agronomy Graduate Group
   Scholarship, and the Henry A. Jastro Graduate Research Award for
   research support of his master's degree. Graduate Student Research
   Fellowships from the UC Plant Sciences Department, the Horticulture &
   Agronomy Graduate Group at UC Davis and the National Science Foundation
   supported R.C.J.'s graduate work. R.C.J. also thanks the California Seed
   Association and Henry A. Jastro Graduate for Research Awards. A.V. was
   funded by ANID-FONDECYT 1211894, ANID-Millennium Science Initiative
   Program NCN2021_010 and ANID PIA/BASAL FB0002 funded by CONICYT FONDECYT
   117163. The Royal Thai Government and the Henry A. Jastro Graduate
   Research Award funded M.T. The China Scholarship Council, UC Davis
   Horticulture & Agronomy Graduate Group Scholarship, and the Henry A.
   Jastro Graduate Research Award funded S.D.
CR Abraham Z, 2012, J PLANT GROWTH REGUL, V31, P11, DOI 10.1007/s00344-011-9215-y
   [Anonymous], 1987, J Assoc Anal Chem, V70, P393
   ARNON DI, 1949, PLANT PHYSIOL, V24, P1, DOI 10.1104/pp.24.1.1
   Baldazzi V, 2012, ACTA HORTIC, V957, P191, DOI 10.17660/ActaHortic.2012.957.21
   Beckles DM, 2012, POSTHARVEST BIOL TEC, V63, P129, DOI 10.1016/j.postharvbio.2011.05.016
   Bertin N, 1999, NEW PHYTOL, V143, P53, DOI 10.1046/j.1469-8137.1999.00436.x
   Bertin N, 2009, J EXP BOT, V60, P237, DOI 10.1093/jxb/ern281
   Blair EJ, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.919676
   Bloom AJ, 2002, P NATL ACAD SCI USA, V99, P1730, DOI 10.1073/pnas.022627299
   Bloom AJ, 2015, CURR OPIN PLANT BIOL, V25, P10, DOI 10.1016/j.pbi.2015.03.002
   Bloom AJ, 2010, SCIENCE, V328, P899, DOI 10.1126/science.1186440
   Borlotti A, 2012, BMC PLANT BIOL, V12, DOI 10.1186/1471-2229-12-189
   Cai XF, 2013, J INTEGR PLANT BIOL, V55, P552, DOI 10.1111/jipb.12043
   Cavalar M, 2007, J PLANT PHYSIOL, V164, P1665, DOI 10.1016/j.jplph.2006.09.008
   Century K, 2008, PLANT PHYSIOL, V147, P20, DOI 10.1104/pp.108.117887
   Chan ZL, 2012, PLANT BIOTECHNOL J, V10, P284, DOI 10.1111/j.1467-7652.2011.00661.x
   Chen H, 2007, PLANT PHYSIOL, V143, P1954, DOI 10.1104/pp.107.095588
   Cohen I, 2018, PLANT SCI, V272, P294, DOI 10.1016/j.plantsci.2018.03.034
   Corrales AR, 2017, PLANT CELL ENVIRON, V40, P748, DOI 10.1111/pce.12894
   Corrales AR, 2014, J EXP BOT, V65, P995, DOI 10.1093/jxb/ert451
   Crush JR, 2005, NEW ZEAL J AGR RES, V48, P255, DOI 10.1080/00288233.2005.9513654
   Deng W, 2015, PLANT CELL PHYSIOL, V56, P1624, DOI 10.1093/pcp/pcv074
   Doebley J, 1998, PLANT CELL, V10, P1075, DOI 10.1105/tpc.10.7.1075
   Domínguez-Figueroa J, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.601558
   Dong SY, 2019, J PLANT PHYSIOL, V234, P80, DOI 10.1016/j.jplph.2019.01.007
   Dong SY, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-27610-y
   FELSENSTEIN J, 1985, EVOLUTION, V39, P783, DOI 10.1111/j.1558-5646.1985.tb00420.x
   Fernandez-Pozo N, 2015, NUCLEIC ACIDS RES, V43, pD1036, DOI 10.1093/nar/gku1195
   Franco-Zorrilla JM, 2014, P NATL ACAD SCI USA, V111, P2367, DOI 10.1073/pnas.1316278111
   Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383
   Grant CE, 2011, BIOINFORMATICS, V27, P1017, DOI 10.1093/bioinformatics/btr064
   Gregg JP, 2008, GENOMICS, V91, P22, DOI 10.1016/j.ygeno.2007.09.003
   Gupta N, 2011, PLANT MOL BIOL REP, V29, P69, DOI 10.1007/s11105-010-0208-y
   Gupta S, 2014, GENE, V546, P327, DOI 10.1016/j.gene.2014.05.057
   Gur A, 2015, FRONT PLANT SCI, V6, DOI 10.3389/fpls.2015.01096
   Gur A, 2011, THEOR APPL GENET, V122, P405, DOI 10.1007/s00122-010-1456-9
   Guyer D, 1998, GENETICS, V149, P633
   Hanson PM, 2007, EUPHYTICA, V158, P167, DOI 10.1007/s10681-007-9440-4
   Haseloff J., 1998, U.S. Patent, Patent No. [US6255558B1, 6255558]
   Hirose T, 2011, OECOLOGIA, V166, P863, DOI 10.1007/s00442-011-1942-z
   Huang XL, 2021, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.703034
   Iwase A, 2009, PLANT BIOTECHNOL-NAR, V26, P29, DOI 10.5511/plantbiotechnology.26.29
   Jacobs A, 2007, METABOLOMICS, V3, P307, DOI 10.1007/s11306-007-0056-4
   Kleinboelting N, 2012, NUCLEIC ACIDS RES, V40, pD1211, DOI 10.1093/nar/gkr1047
   Krahmer J, 2019, FEBS LETT, V593, P319, DOI 10.1002/1873-3468.13311
   Krieger U, 2010, NAT GENET, V42, P459, DOI 10.1038/ng.550
   Kumar A, 2014, PLANT MOL BIOL REP, V32, P419, DOI 10.1007/s11105-013-0653-5
   Kumar R, 2009, MOL BIOL REP, V36, P2209, DOI 10.1007/s11033-008-9436-8
   Kumar S, 2016, MOL BIOL EVOL, V33, P1870, DOI [10.1093/molbev/msw054, 10.1093/molbev/msv279]
   Kurai T, 2011, PLANT BIOTECHNOL J, V9, P826, DOI 10.1111/j.1467-7652.2011.00592.x
   Lam Cheng K.-L., 2013, GOLDEN2 LIKE GLK2 TR
   Leterrier M, 2008, BMC PLANT BIOL, V8, DOI 10.1186/1471-2229-8-98
   Lin M, 2004, BIOINFORMATICS, V20, P1233, DOI 10.1093/bioinformatics/bth069
   Liu XY, 2015, J PLANT NUTR SOIL SC, V178, P601, DOI 10.1002/jpln.201400480
   Luengwilai K, 2010, J AGR FOOD CHEM, V58, P11790, DOI 10.1021/jf102562n
   Luengwilai K, 2010, J AGR FOOD CHEM, V58, P1275, DOI 10.1021/jf9032393
   Luengwilai K, 2009, J AGR FOOD CHEM, V57, P8480, DOI 10.1021/jf901593m
   Luengwilai K, 2009, J AGR FOOD CHEM, V57, P282, DOI 10.1021/jf802064w
   Ma XM, 2018, PLANT PHYSIOL, V177, P1286, DOI 10.1104/pp.18.00292
   Marzábal P, 2008, PLANT MOL BIOL, V67, P441, DOI 10.1007/s11103-008-9325-5
   McLEAN E. O., 1956, SOIL SCI SOC AMER PROC, V20, P345
   Mtunguja MK, 2016, STARCH-STARKE, V68, P514, DOI 10.1002/star.201500179
   N'tchobo H, 1999, J EXP BOT, V50, P1457, DOI 10.1093/jexbot/50.338.1457
   O'Malley RC, 2016, CELL, V165, P1280, DOI 10.1016/j.cell.2016.04.038
   Osorio S, 2014, FRONT PLANT SCI, V5, DOI 10.3389/fpls.2014.00516
   Porri A, 2012, DEVELOPMENT, V139, P2198, DOI 10.1242/dev.077164
   Powell ALT, 2012, SCIENCE, V336, P1711, DOI 10.1126/science.1222218
   Prudent M, 2009, J EXP BOT, V60, P923, DOI 10.1093/jxb/ern338
   Renau-Morata B, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-67537-x
   Renau-Morata B, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.00660
   Ricroch AE, 2011, PLANT PHYSIOL, V155, P1752, DOI 10.1104/pp.111.173609
   Riechmann JL, 2000, SCIENCE, V290, P2105, DOI 10.1126/science.290.5499.2105
   Rodríguez-Leal D, 2017, CELL, V171, P470, DOI 10.1016/j.cell.2017.08.030
   Rosso MG, 2003, PLANT MOL BIOL, V53, P247, DOI 10.1023/B:PLAN.0000009297.37235.4a
   SAITOU N, 1987, MOL BIOL EVOL, V4, P406, DOI 10.1093/oxfordjournals.molbev.a040454
   Santos LA, 2012, PLANT BIOTECHNOL REP, V6, P327, DOI 10.1007/s11816-012-0227-2
   Schmitz G, 2010, MOL PLANT MICROBE IN, V23, P1584, DOI 10.1094/MPMI-02-10-0045
   Shahzad R, 2021, SAUDI J BIOL SCI, V28, P2323, DOI 10.1016/j.sjbs.2021.01.028
   SHARKEY TD, 1985, PLANT PHYSIOL, V77, P617, DOI 10.1104/pp.77.3.617
   Singh B.K., 1999, PLANT AMINO ACIDS BI, P611
   Smith AM, 2007, PLANT CELL ENVIRON, V30, P1126, DOI 10.1111/j.1365-3040.2007.01708.x
   Soyk S, 2020, ANNU REV GENET, V54, P287, DOI 10.1146/annurev-genet-050720-122916
   Soyk S, 2017, NAT GENET, V49, P162, DOI 10.1038/ng.3733
   Stamova BS, 2009, METABOLOMICS, V5, P239, DOI 10.1007/s11306-008-0146-y
   Stitt M, 2012, CURR OPIN PLANT BIOL, V15, P282, DOI 10.1016/j.pbi.2012.03.016
   Sulpice R, 2009, P NATL ACAD SCI USA, V106, P10348, DOI 10.1073/pnas.0903478106
   Sun ZF, 2015, PLOS GENET, V11, DOI 10.1371/journal.pgen.1005598
   Sweetlove LJ, 2002, PLANTA, V214, P741, DOI 10.1007/s004250100666
   Szklarczyk D, 2015, NUCLEIC ACIDS RES, V43, pD447, DOI 10.1093/nar/gku1003
   TAIR The Arabidopsis Information Resource, ABOUT AS
   Tanaka M, 2009, PLANTA, V230, P737, DOI 10.1007/s00425-009-0979-2
   Tanksley SD, 2007, EUPHYTICA, V154, P365, DOI 10.1007/s10681-006-9192-6
   Tsujimoto-Inui Y, 2009, PLANT BIOTECHNOL, V26, P15, DOI 10.5511/plantbiotechnology.26.15
   VicenteCarbajosa J, 1997, P NATL ACAD SCI USA, V94, P7685, DOI 10.1073/pnas.94.14.7685
   Walker RL, 2001, J EXP BOT, V52, P309, DOI 10.1093/jexbot/52.355.309
   Wang HW, 2007, PLANT J, V52, P716, DOI 10.1111/j.1365-313X.2007.03268.x
   Wang YL, 2013, PLANT MOL BIOL REP, V31, P886, DOI 10.1007/s11105-013-0561-8
   Waters BM, 2002, PLANT PHYSIOL, V129, P85, DOI 10.1104/pp.010829
   Weckwerth W, 2004, P NATL ACAD SCI USA, V101, P7809, DOI 10.1073/pnas.0303415101
   Weirauch MT, 2014, CELL, V158, P1431, DOI 10.1016/j.cell.2014.08.009
   Wu JD, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.00465
   Xu XM, 2018, 3 BIOTECH, V8, DOI 10.1007/s13205-018-1512-8
   Yanagisawa S, 2004, P NATL ACAD SCI USA, V101, P7833, DOI 10.1073/pnas.0402267101
   Yanagisawa S, 2002, TRENDS PLANT SCI, V7, P555, DOI 10.1016/S1360-1385(02)02362-2
   Yanagisawa S, 1998, SEIKAGAKU, V70, P280
   Yang XH, 2006, PLANT PHYSIOL, V142, P820, DOI 10.1104/pp.106.083642
   Zhang AD, 2018, PLANT PHYSIOL, V178, P850, DOI 10.1104/pp.18.00427
   Zhang JH, 2014, BIOTECHNOL BIOFUELS, V7, DOI 10.1186/s13068-014-0128-4
   Zsögön A, 2017, PLANT SCI, V256, P120, DOI 10.1016/j.plantsci.2016.12.012
   ZUCKERKANDL EMILE, 1965, P97
NR 110
TC 2
Z9 2
U1 2
U2 15
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1422-0067
J9 INT J MOL SCI
JI Int. J. Mol. Sci.
PD OCT
PY 2022
VL 23
IS 19
AR 11229
DI 10.3390/ijms231911229
PG 27
WC Biochemistry & Molecular Biology; Chemistry, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology; Chemistry
GA 5H6CB
UT WOS:000867764100001
PM 36232530
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Cross, MS
   Oakes, LE
   Kretser, HE
   Bredehoft, R
   Dey, P
   Mahoney, A
   Smith, N
   Tator, I
   Wasseen, J
AF Cross, Molly S.
   Oakes, Lauren E.
   Kretser, Heidi E.
   Bredehoft, Raymond
   Dey, Paul
   Mahoney, Anika
   Smith, Noelle
   Tator, Ian
   Wasseen, Jim
TI Tackling the Science Usability Gap in a Warming World: Co-Producing
   Useable Climate Information for Natural Resource Management
SO ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Climate change; Adaptation; Natural resource management; Co-production;
   Actionable science
ID BOUNDARY SPANNERS; KNOWLEDGE SYSTEMS; COPRODUCTION; POLICY; ADAPTATION;
   INTERFACE; FRAMEWORK; BARRIERS
AB Developing scientific information that is used in policy and practice has been a longstanding challenge in many sectors and disciplines, including climate change adaptation for natural resource management. One approach to address this problem encourages scientists and decision-makers to co-produce usable information collaboratively. Researchers have proposed general principles for climate science co-production, yet few studies have applied and evaluated these principles in practice. In this study, climate change researchers and natural resource managers co-produced climate-related knowledge that was directly relevant for on-going habitat management planning. We documented our methods and assessed how and to what extent the process led to the near-term use of co-produced information, while also identifying salient information needs for future research. The co-production process resulted in: 1) an updated natural resource management plan that substantially differed from the former plan in how it addressed climate change, 2) increased understanding of climate change, its impacts, and management responses among agency staff, and 3) a prioritized list of climate-related information needs that would be useful for management decision-making. We found that having a boundary spanner-an intermediary with relevant science and management expertise that enables exchange between knowledge producers and users-guide the co-production process was critical to achieving outcomes. Central to the boundary spanner's role were a range of characteristics and skills, such as knowledge of relevant science, familiarity with management issues, comfort translating science into practice, and an ability to facilitate climate-informed planning. By describing specific co-production methods and evaluating their effectiveness, we offer recommendations for others looking to co-produce climate change information to use in natural resource management planning and implementation.
C1 [Cross, Molly S.; Oakes, Lauren E.; Kretser, Heidi E.] Wildlife Conservat Soc, Bronx, NY 10460 USA.
   [Oakes, Lauren E.] Stanford Univ, Dept Earth Syst Sci, Stanford, CA USA.
   [Kretser, Heidi E.] Cornell Univ, Dept Nat Resources & Environm, Ithaca, NY USA.
   [Bredehoft, Raymond; Dey, Paul; Mahoney, Anika; Smith, Noelle; Tator, Ian; Wasseen, Jim] Wyoming Game & Fish Dept, Cheyenne, WY USA.
C3 Wildlife Conservation Society; Stanford University; Cornell University
RP Cross, MS (corresponding author), Wildlife Conservat Soc, Bronx, NY 10460 USA.
EM mcross@wcs.org
RI Kretser, Heidi/KYQ-4364-2024
OI Mahoney, Anika/0000-0002-0239-4969
FU United States Geological Survey [G19AC00001, G18AC00325]
FX This work was supported by the United States Geological Survey (Grant
   and Cooperative Agreements No. G19AC00001 and No. G18AC00325).
CR Archie KM, 2014, J ENVIRON MANAGE, V133, P397, DOI 10.1016/j.jenvman.2013.12.015
   Archie KM, 2012, ECOL SOC, V17, DOI 10.5751/ES-05187-170420
   Bamzai-Dodson A, 2021, WEATHER CLIM SOC, V13, P1027, DOI 10.1175/WCAS-D-21-0046.1
   Barsugli J.J., 2013, Eos Trans. Am. Geophys. Union, V94, P424, DOI DOI 10.1002/2013EO460005
   Bednarek AT, 2018, SUSTAIN SCI, V13, P1175, DOI 10.1007/s11625-018-0550-9
   Bednarek AT, 2016, SCI PUBL POLICY, V43, P291, DOI 10.1093/scipol/scv008
   Beier P, 2017, CONSERV LETT, V10, P288, DOI 10.1111/conl.12300
   Bell S, 2011, RES EVALUAT, V20, P227, DOI 10.3152/095820211X13118583635792
   Briley L, 2015, CLIM RISK MANAG, V9, P41, DOI 10.1016/j.crm.2015.04.004
   Carter S., 2019, Coproduction of African weather and climate services
   Cash DW, 2006, SCI TECHNOL HUM VAL, V31, P465, DOI 10.1177/0162243906287547
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   Cook CN, 2013, CONSERV BIOL, V27, P669, DOI 10.1111/cobi.12050
   Crausbay S, 2019, STATE AGENCY PRIORIT
   Cross M.S., 2020, Climate change management of river, riparian, and wetland habitats in Wyoming: Summary from Wyoming game and fish department climate change workshop
   Cross MS, 2012, ENVIRON MANAGE, V50, P341, DOI 10.1007/s00267-012-9893-7
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   Djenontin INS, 2018, ENVIRON MANAGE, V61, P885, DOI 10.1007/s00267-018-1028-3
   Goodrich KA, 2020, CURR OPIN ENV SUST, V42, P45, DOI 10.1016/j.cosust.2020.01.001
   Hyman AA, 2022, CONSERV LETT, V15, DOI 10.1111/conl.12892
   Jagannathan K, 2021, B AM METEOROL SOC, V102, pE1579, DOI 10.1175/BAMS-D-19-0296.1
   Jesiek BK, 2018, J ENG EDUC, V107, P380, DOI 10.1002/jee.20219
   Kemp KB, 2015, ECOL SOC, V20, DOI 10.5751/ES-07522-200217
   Kolstad EW, 2019, B AM METEOROL SOC, V100, P1419, DOI 10.1175/BAMS-D-18-0201.1
   Lemos MC, 2018, NAT SUSTAIN, V1, P722, DOI 10.1038/s41893-018-0191-0
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/NCLIMATE1614, 10.1038/nclimate1614]
   Mach KJ, 2020, CURR OPIN ENV SUST, V42, P30, DOI 10.1016/j.cosust.2020.01.002
   Meadow AM, 2015, WEATHER CLIM SOC, V7, P179, DOI 10.1175/WCAS-D-14-00050.1
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Nel JL, 2016, CONSERV BIOL, V30, P176, DOI 10.1111/cobi.12560
   Norstrom AV, 2020, NAT SUSTAIN, V3, P182, DOI 10.1038/s41893-019-0448-2
   Patton MQ., 1990, QUALITATIVE EVALUATI, V2
   Pelz D.C., 1978, MAJOR SOCIAL ISSUES, P346
   Portner H.-O., 2022, CONTRIBUTION WORKING, VII
   Posner SM, 2019, ENVIRON SCI POLICY, V92, P141, DOI 10.1016/j.envsci.2018.11.006
   Safford HD, 2017, FRONT ECOL ENVIRON, V15, P560, DOI 10.1002/fee.1731
   Stein B A., 2014, Climate-Smart Conservation: Putting Adaptation Principles into Practice
   Tengö M, 2017, CURR OPIN ENV SUST, V26-27, P17, DOI 10.1016/j.cosust.2016.12.005
   VanderMolen K, 2020, ENVIRON MANAGE, V65, P178, DOI 10.1007/s00267-019-01237-9
   Vincent K, 2018, CLIM SERV, V12, P48, DOI 10.1016/j.cliser.2018.11.001
   Wall TU, 2017, WEATHER CLIM SOC, V9, P95, DOI 10.1175/WCAS-D-16-0008.1
   WGFD, 2020, STAT HAB PLAN 2020
   Williams P, 2002, PUBLIC ADMIN, V80, P103, DOI 10.1111/1467-9299.00296
NR 43
TC 7
Z9 7
U1 2
U2 8
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0364-152X
EI 1432-1009
J9 ENVIRON MANAGE
JI Environ. Manage.
PD DEC
PY 2022
VL 70
IS 6
BP 881
EP 895
DI 10.1007/s00267-022-01718-4
EA SEP 2022
PG 15
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 5V1WT
UT WOS:000859705100001
PM 36155837
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Kanda, A
   Ncube, EJ
   Voyi, K
AF Kanda, Artwell
   Ncube, Esper Jacobeth
   Voyi, Kuku
TI Drivers and barriers to sustained use of Blair ventilated improved pit
   latrine after nearly four decades in rural Zimbabwe
SO PLOS ONE
LA English
DT Article
ID CLIMATE-CHANGE; SANITATION; COVERAGE; ODISHA; INDIA; WATER
AB BackgroundSome latrines remain unused even under conditions of high coverage in rural areas of low- and middle-income countries. Not much is known on household latrine use in the long term in the absence of an intervention. The current work assesses drivers and barriers to sustained use of a ventilated improved pit latrine (Blair VIP) design where it originated and how rural households adapt it to climate change. MethodsA mixed methods study was conducted from November 2020 to May 2021 among rural households of Mbire district, Zimbabwe. A cross sectional survey of 238 households with Blair ventilated improved pit (BVIP) latrines was conducted using a questionnaire and a latrine observation checklist. Data were analysed using logistic regression. Qualitative data were collected using six focus groups among house heads and analysed by thematic analysis. ResultThe latrine has perceived health, non-health and hygiene benefits for its sustained use. However, there are design, environmental and social barriers. The quantitative study indicated that determinants of latrine use were contextual (individual and household levels) and technology (individual level) factors. Focus groups indicated that latrine use was influenced by social, technology and contextual factors at multiple level factors. Interplay of factors influenced the intention to adapt the BVIP latrine to climate change. Local climate change adaptation strategies for the latrine were odour and erosion control, construction of the conventional latrine design and raised structures. ConclusionThe conventional BVIP latrine design is durable and relatively resilient to climate change with high local household use. High construction cost of the latrine causes households to build incomplete and poor quality designs which affect odour and fly control. These are barriers to sustained latrine use. The government should implement the new sanitation policy which considers alternative sanitation options and offer community support for adapting sanitation to climate change.
C1 [Kanda, Artwell; Ncube, Esper Jacobeth; Voyi, Kuku] Univ Pretoria, Fac Hlth Sci, Sch Hlth Syst & Publ Hlth, Pretoria, South Africa.
C3 University of Pretoria
RP Kanda, A (corresponding author), Univ Pretoria, Fac Hlth Sci, Sch Hlth Syst & Publ Hlth, Pretoria, South Africa.
EM alzkanda@gmail.com
RI , Kuku/O-6007-2015
OI , Kuku/0000-0001-5076-3143; Ncube, Esper Jacobeth/0000-0003-0899-3871
CR Ahmad A, 2016, 39 WEDC INT C ENSURI
   Alemu F, 2018, BMC PUBLIC HEALTH, V18, DOI 10.1186/s12889-018-5143-0
   Alemu F, 2017, BMC PUBLIC HEALTH, V17, DOI 10.1186/s12889-017-4717-6
   [Anonymous], 2017, Progress on drinking water, sanitation and hygiene: 2017 update and SDG baselines
   [Anonymous], 2016, ZIMBABWE DEMOGRAPHIC
   [Anonymous], 2006, TECHNOLOGIES ADAPTAT
   [Anonymous], 2021, Progress on Household Drinking Water, Sanitation and Hygiene 2000-2020: Five Years into the SDGs
   Arnell NW, 2015, PROG PHYS GEOG, V39, P93, DOI 10.1177/0309133314560369
   Barnard S, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0071438
   Bergen N, 2020, QUAL HEALTH RES, V30, P783, DOI 10.1177/1049732319889354
   Braun V, 2021, QUAL RES PSYCHOL, V18, P328, DOI 10.1080/14780887.2020.1769238
   Buck ED., 2017, 3ie Systematic Review, V10, P36
   Budhathoki Shyam Sundar, 2017, BMC Res Notes, V10, P209, DOI 10.1186/s13104-017-2539-3
   Busienei PJ, 2019, ENVIRON HEALTH INSIG, V13, DOI 10.1177/1178630219887960
   Charan Jaykaran, 2013, Indian J Psychol Med, V35, P121, DOI 10.4103/0253-7176.116232
   Clasen T, 2014, LANCET GLOB HEALTH, V2, pE645, DOI 10.1016/S2214-109X(14)70307-9
   Dickin S, 2020, NPJ CLEAN WATER, V3, DOI 10.1038/s41545-020-0072-8
   Dickin S, 2018, SCI TOTAL ENVIRON, V613, P140, DOI 10.1016/j.scitotenv.2017.08.251
   Dreibelbis R, 2013, BMC PUBLIC HEALTH, V13, DOI 10.1186/1471-2458-13-1015
   Dumpert J.W., 2009, Waterlines, V28, P250, DOI DOI 10.3362/1756-3488.2009.026
   Garn JV, 2017, INT J HYG ENVIR HEAL, V220, P329, DOI 10.1016/j.ijheh.2016.10.001
   Gebremariam B, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0203458
   Gebremedhin Gidey, 2018, BMC Res Notes, V11, P586, DOI 10.1186/s13104-018-3683-0
   [GoZ] Government of Zimbabwe, 2017, NATL ACT COMM RUR WA
   Howard G, 2016, ANNU REV ENV RESOUR, V41, P253, DOI 10.1146/annurev-environ-110615-085856
   Hulland K., 2015, 3ie Systematic Review Summary 2
   Hussain F, 2017, BMC PUBLIC HEALTH, V17, DOI 10.1186/s12889-017-4412-7
   IBM Corp, 2021, Released 2021. IBM SPSS statistics for windows
   International Panel on Climate Change [IPCC, 2001, CLIMATE CHANGE 2001, P365
   Kanda A, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132313444
   Kema Koronel, 2012, Pan Afr Med J, V13 Suppl 1, P4
   Kohlitz J., 2021, Frontiers of Sanitation: Innovations and Insights, V17, DOI DOI 10.19088/SLH.2021.002
   Leshargie CT, 2018, BMC PUBLIC HEALTH, V18, DOI 10.1186/s12889-018-5798-6
   Lopez VK, 2019, AM J TROP MED HYG, V100, P733, DOI 10.4269/ajtmh.18-0144
   McMichael C, 2016, SOC SCI MED, V163, P28, DOI 10.1016/j.socscimed.2016.06.051
   Morgan P., 2006, Zimbabwes rural sanitation programme. An overview of main events
   Morgan P., 2011, The Blair VIP toilet. Manual for the upgradeable BVIP model with spiral superstructure and tubular vent pipe
   Mucherera B, 2020, JAMBA-J DISASTER RIS, V12, DOI 10.4102/jamba.v12i1.663
   Nunbogu AM, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16060920
   Nyumba TO, 2018, METHODS ECOL EVOL, V9, P20, DOI 10.1111/2041-210X.12860
   Oates N., 2014, Adaptation to climate change in water, sanitation and hygiene: Assessing risks, appraising options in Africa
   QSR International Pty Ltd, 2018, NVIVO VERS 12
   Rheinlander T., 2013, Waterlines, P106, DOI 10.3362/1756-3488.2013.012
   Robinson A., 2002, 4 WSP
   Roller M.R., 2015, APPL QUALITATIVE RES
   Schmidt WP, 2020, BMC PUBLIC HEALTH, V20, DOI 10.1186/s12889-020-09501-y
   Selseng T, 2021, WEATHER CLIM SOC, V13, P633, DOI 10.1175/WCAS-D-21-0024.1
   Shaya G., 2017, Empirical research: A study guide
   Sinha A, 2017, INT J HYG ENVIR HEAL, V220, P906, DOI 10.1016/j.ijheh.2017.05.004
   Sinha A, 2016, AM J TROP MED HYG, V95, P720, DOI 10.4269/ajtmh.16-0102
   Srinivasan S., 2019, Measurement of latrine use in rural India
   StataCorp, 2019, STATA STAT SOFTWARE
   Tamene A, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0245289
   United Nations Children's Fund (UNICEF) and World Health Organization (WHO), 2018, COR QUEST DRINK WAT
   WHO/ UNICEF, 2006, COR QUEST DRINK WAT
   World Health Organization (WHO). United Nations International Children's Emergency Fund (UNICEF), 2010, JOINT MON PROGR WAT
   Yimam YT, 2014, PAN AFR MED J, V18, DOI 10.11604/pamj.2014.18.334.4206
NR 57
TC 2
Z9 3
U1 0
U2 4
PU PUBLIC LIBRARY SCIENCE
PI SAN FRANCISCO
PA 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA
SN 1932-6203
J9 PLOS ONE
JI PLoS One
PY 2022
VL 17
IS 4
AR e0265077
DI 10.1371/journal.pone.0265077
PG 24
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA 1T5DI
UT WOS:000804748600031
PM 35363790
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Ishtiaque, A
   Singh, S
   Lobell, D
   Balwinder-Singh
   Fishman, R
   Jain, M
AF Ishtiaque, Asif
   Singh, Sukhwinder
   Lobell, David
   Balwinder-Singh
   Fishman, Ram
   Jain, Meha
TI Prior crop season management constrains farmer adaptation to warming
   temperatures: Evidence from the Indo-Gangetic Plains
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Adaptation; Early sowing; Wheat; Indo-Gangetic Plains; India; Heat
   stress; Adaptation constraints
ID CLIMATE-CHANGE ADAPTATION; GROUNDWATER DEPLETION; EMPIRICAL-EVIDENCE;
   FOOD SECURITY; WHEAT; RICE; YIELD; PRODUCTIVITY; TILLAGE; SYSTEMS
AB Climate change induced heat stress is predicted to negatively impact wheat yields across the Indo-Gangetic Plains (IGP) of India. Research suggests that early sowing of wheat can substantially reduce this impact. However, a large proportion of farmers sow wheat late across this region, likely resulting in large-scale yield loss. We examined the extent of late wheat sowing across the IGP and which perceptional, management, biophysical, and socioeconomic factors are associated with delayed sowing using household survey data from 2429 farmers and the cumulative logit model. Our results indicate that despite understanding that early sowing can be helpful to avoid terminal heat stress, over 50% of farmers sow wheat later than their perceived ideal wheat sowing date. We find that variables related to how wheat fields are prepared prior to sowing are associated with wheat sowing date. Specifically, farmers who had shorter fallow periods prior to sowing wheat and those who used zero tillage were 95% and 65% more likely to sow wheat earlier, respectively. In addition, we found that how farmers managed their rice crop in the preceding cropping season impacted wheat sowing date - farmers who transplanted and harvested rice later and/or planted longer duration rice varieties sowed their wheat later. Our results suggest that policies that promote earlier sowing of rice, such as improved access to irrigation and direct seeding machinery, and reduced field preparation time, such as wider adoption of zero tillage technologies, can help farmers across the IGP sow wheat earlier. This is critical given that warming temperatures will only increase the negative impacts of terminal heat stress on wheat yields across this region over the coming decades. (c) 2021 Elsevier B.V. All rights reserved.
C1 [Ishtiaque, Asif; Jain, Meha] Univ Michigan, Sch Environm & Sustainabil, Ann Arbor, MI 48109 USA.
   [Singh, Sukhwinder] Publ Hlth Fdn India, Gurgaon, India.
   [Lobell, David] Stanford Univ, Ctr Food Secur & Environm, Dept Earth Syst Sci, Stanford, CA 94305 USA.
   [Balwinder-Singh] Int Maize & Wheat Improvement Ctr, New Delhi, India.
   [Fishman, Ram] Tel Aviv Univ, Dept Publ Policy, Tel Aviv, Israel.
C3 University of Michigan System; University of Michigan; Public Health
   Foundation of India; Stanford University; Tel Aviv University
RP Ishtiaque, A (corresponding author), Univ Michigan, Sch Environm & Sustainabil, Ann Arbor, MI 48109 USA.
EM asis@umich.edu
RI Ishtiaque, Asif/P-2423-2019; Singh, Balwinder/R-9998-2019
OI Lobell, David/0000-0002-5969-3476
FU NASA Land-Cover Land-Use Change Grant [NNX17AH97G]; NASA New
   Investigator Program Award [NNX16AI19G]; NASA [NNX16AI19G, 902366]
   Funding Source: Federal RePORTER
FX Funding for this study came from the NASA Land-Cover Land-Use Change
   Grant (NNX17AH97G) and the NASA New Investigator Program Award
   (NNX16AI19G) awarded to Meha Jain.
CR Akter N, 2017, AGRON SUSTAIN DEV, V37, DOI 10.1007/s13593-017-0443-9
   Aryal JP, 2016, AGR ECOSYST ENVIRON, V233, P325, DOI 10.1016/j.agee.2016.09.013
   Aryal JP, 2015, EXP AGR, V51, P1, DOI 10.1017/S001447971400012X
   Asseng S, 2015, NAT CLIM CHANGE, V5, P143, DOI [10.1038/nclimate2470, 10.1038/NCLIMATE2470]
   Attri SD, 2003, INT J CLIMATOL, V23, P693, DOI 10.1002/joc.896
   Bahinipati CS, 2015, INT J DISAST RISK RE, V14, P347, DOI 10.1016/j.ijdrr.2015.08.010
   Bahinipati CS, 2015, WATER POLICY, V17, P742, DOI 10.2166/wp.2014.121
   Balwinder-Singh, 2019, FIELD CROP RES, V239, P92, DOI 10.1016/j.fcr.2019.05.014
   Balwinder-Singh, 2016, FIELD CROP RES, V197, P83, DOI 10.1016/j.fcr.2016.08.016
   Balwinder-Singh, 2015, FIELD CROP RES, V173, P81, DOI 10.1016/j.fcr.2014.11.019
   Balwinder-Singh, 2015, FIELD CROP RES, V173, P68, DOI 10.1016/j.fcr.2014.11.018
   Banerjee RR, 2015, NAT HAZARDS, V75, P2829, DOI 10.1007/s11069-014-1466-z
   Borooah VK, 2005, REV DEV ECON, V9, P399, DOI 10.1111/j.1467-9361.2005.00284.x
   BRANT R, 1990, BIOMETRICS, V46, P1171, DOI 10.2307/2532457
   Chakraborty D, 2018, J INDIAN SOC REMOTE, V46, P59, DOI 10.1007/s12524-017-0684-8
   Coventry DR, 2011, FIELD CROP RES, V123, P214, DOI 10.1016/j.fcr.2011.05.017
   Delgado JA, 2011, J SOIL WATER CONSERV, V66, p118A, DOI 10.2489/jswc.66.4.118A
   Deressa TT, 2009, GLOBAL ENVIRON CHANG, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Dexter A. R., 1985, Soil physics and rice [International Rice Research Institute]., P261
   Dubey R, 2020, AGR SYST, V181, DOI 10.1016/j.agsy.2020.102826
   Erenstein O, 2008, SOIL TILL RES, V100, P1, DOI 10.1016/j.still.2008.05.001
   Gathala MK, 2011, AGRON J, V103, P961, DOI 10.2134/agronj2010.0394
   Gill M. S., 2006, Indian Journal of Agronomy, V51, P123
   GoI, 2018, STAT YB IND 2018
   GOI, 2019, AGR STAT GLANC 2018
   Hobbs P. R., 2001, Journal of Crop Production, V4, P1, DOI 10.1300/J144v04n01_01
   Jain M, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa8228
   Jain M., 2019, BETTER PLANET
   Jain M, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abd2849
   Jain M, 2015, GLOBAL ENVIRON CHANG, V31, P98, DOI 10.1016/j.gloenvcha.2014.12.008
   Jha A. K., 2011, Indian Journal of Agronomy, V56, P35
   Joshi AK, 2007, EUPHYTICA, V157, P431, DOI 10.1007/s10681-007-9385-7
   Kalra N, 2008, CURR SCI INDIA, V94, P82
   Kishore A, 2019, CLIMATE SMART AGRICULTURE IN SOUTH ASIA: TECHNOLOGIES, POLICIES AND INSTITUTIONS, P143, DOI 10.1007/978-981-10-8171-2_7
   Ladha J. K., 2003, Improving the productivity and sustainability of rice-wheat systems: issues and impacts. Proceedings of an international symposium, held at the 2001 Annual Meetings of the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, Charlotte, NC, USA, 22 October 2001, P45
   Liu TJ, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abcc28
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   Lobell DB, 2013, AGR SYST, V115, P137, DOI 10.1016/j.agsy.2012.09.003
   Lobell DB, 2012, NAT CLIM CHANGE, V2, P186, DOI [10.1038/NCLIMATE1356, 10.1038/nclimate1356]
   Mahajan G, 2009, AGR WATER MANAGE, V96, P525, DOI 10.1016/j.agwat.2008.09.027
   Mishra AK, 2017, FOOD POLICY, V73, P10, DOI 10.1016/j.foodpol.2017.08.021
   Mondal P, 2014, CLIMATIC CHANGE, V126, P61, DOI 10.1007/s10584-014-1216-y
   Newport D, 2020, WEATHER CLIM SOC, V12, P515, DOI 10.1175/WCAS-D-19-0122.1
   Ortiz R, 2008, AGR ECOSYST ENVIRON, V126, P46, DOI 10.1016/j.agee.2008.01.019
   ORTIZ-MONASTERIO JI, 1994, FIELD CROP RES, V37, P169, DOI 10.1016/0378-4290(94)90096-5
   Pathak H., 2015, Indian Journal of Fertilisers, V11, P102
   Pradhan A, 2018, AGR SYST, V163, P27, DOI 10.1016/j.agsy.2017.01.002
   Rao BB, 2015, AGR FOREST METEOROL, V200, P192, DOI 10.1016/j.agrformet.2014.09.023
   Rodell M, 2009, NATURE, V460, P999, DOI 10.1038/nature08238
   SANCHEZ PA, 1973, SOIL SCI, V115, P303, DOI 10.1097/00010694-197304000-00006
   Sharma A.R., 2014, Indian J. Weed Sci, V46, P23
   Sharma P.K., 2003, SOIL PHYS EFFECTS PU, V65, P97
   Singh NP, 2018, NAT HAZARDS, V92, P1287, DOI 10.1007/s11069-018-3250-y
   Singh Y., 2005, Rice is life: scientific perspectives for the 21st century. Proceedings of the World Rice Research Conference held in Tsukuba, Japan, 4-7 November 2004, P198
   Timsina J, 2001, FIELD CROP RES, V69, P93, DOI 10.1016/S0378-4290(00)00143-X
   Tripathi A, 2016, ENVIRON MANAGE, V58, P48, DOI 10.1007/s00267-016-0693-3
   Tripathi S. C., 2013, Indian Journal of Agronomy, V58, P63
   Vogel E, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab154b
   Yusuf Mohammad, 2019, Agricultural Science Digest, V39, P306, DOI 10.18805/ag.D-4977
NR 59
TC 13
Z9 14
U1 2
U2 17
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD FEB 10
PY 2022
VL 807
AR 151671
DI 10.1016/j.scitotenv.2021.151671
EA DEC 2021
PN 2
PG 13
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA YD2RQ
UT WOS:000740224300011
PM 34801489
DA 2025-01-10
ER

PT J
AU Hessburg, PF
   Prichard, SJ
   Hagmann, RK
   Povak, NA
   Lake, FK
AF Hessburg, Paul F.
   Prichard, Susan J.
   Hagmann, R. Keala
   Povak, Nicholas A.
   Lake, Frank K.
TI Wildfire and climate change adaptation of western North American
   forests: a case for intentional management
SO ECOLOGICAL APPLICATIONS
LA English
DT Article
DE Climate Change and Western Wildfires; climate warming; forest landscape
   changes; Indigenous fire use; landscape realignment; landscape
   resilience; landscape resistance; social-ecological systems; wildfire
   regime changes
ID MIXED-CONIFER FORESTS; SPATIAL-PATTERNS; FIRE REGIMES; PONDEROSA PINE;
   SIERRA-NEVADA; UNITED-STATES; CONSERVATION; RESTORATION; SEVERITY;
   OREGON
AB Forest landscapes across western North America (wNA) have experienced extensive changes over the last two centuries, while climatic warming has become a global reality over the last four decades. Resulting interactions between historical increases in forested area and density and recent rapid warming, increasing insect mortality, and wildfire burned areas, are now leading to substantial abrupt landscape alterations. These outcomes are forcing forest planners and managers to identify strategies that can modify future outcomes that are ecologically and/or socially undesirable. Past forest management, including widespread harvest of fire- and climate-tolerant large old trees and old forests, fire exclusion (both Indigenous and lightning ignitions), and highly effective wildfire suppression have contributed to the current state of wNA forests. These practices were successful at meeting short-term demands, but they match poorly to modern realities. Hagmann et al. review a century of observations and multi-scale, multi-proxy, research evidence that details widespread changes in forested landscapes and wildfire regimes since the influx of European colonists. Over the preceding 10 millennia, large areas of wNA were already settled and proactively managed with intentional burning by Indigenous tribes. Prichard et al. then review the research on management practices historically applied by Indigenous tribes and currently applied by some managers to intentionally manage forests for resilient conditions. They address 10 questions surrounding the application and relevance of these management practices. Here, we highlight the main findings of both papers and offer recommendations for management. We discuss progress paralysis that often occurs with strict adherence to the precautionary principle; offer insights for dealing with the common problem of irreducible uncertainty and suggestions for reframing management and policy direction; and identify key knowledge gaps and research needs.
C1 [Hessburg, Paul F.; Povak, Nicholas A.] USDA FS, Pacific Northwest Res Stn, Wenatchee, WA 98801 USA.
   [Hessburg, Paul F.; Prichard, Susan J.; Hagmann, R. Keala] Univ Washington, Coll Environm, SEFS, Seattle, WA 98195 USA.
   [Hagmann, R. Keala] Applegate Forestry LLC, Corvallis, OR 97330 USA.
   [Povak, Nicholas A.] USDA FS, Pacific Southwest Res Stn, 2480 Carson Rd, Placerville, CA 95667 USA.
   [Lake, Frank K.] USDA FS, Pacific Southwest Res Stn, 1700 Bayview Dr, Arcata, CA 95521 USA.
C3 United States Department of Agriculture (USDA); United States Forest
   Service; University of Washington; University of Washington Seattle;
   United States Department of Agriculture (USDA); United States Forest
   Service; United States Department of Agriculture (USDA); United States
   Forest Service
RP Hessburg, PF (corresponding author), USDA FS, Pacific Northwest Res Stn, Wenatchee, WA 98801 USA.; Hessburg, PF (corresponding author), Univ Washington, Coll Environm, SEFS, Seattle, WA 98195 USA.
EM paul.hessburg@usda.gov
RI Povak, Nicholas/JDX-0327-2023
OI Povak, Nicholas/0000-0003-1220-7095; Hagmann, Keala/0000-0002-1952-7449;
   Hessburg, Paul Francis/0000-0002-0330-7230
FU U.S. Fish and Wildlife Service; Wilderness Society; Nature Conservancy,
   Oregon; Conservation Northwest; Ecological Restoration Institute;
   Washington State Department of Natural Resources; USDA-FS; Pacific
   Northwest and Pacific Southwest Research Stations; California Department
   of Forestry and Fire Protection
FX The authors acknowledge constructive reviews by Keith Reynolds, Jamie
   Rosen, Derek Churchill, Gavin Jones, and two anonymous reviewers. We are
   grateful to David Schimel for the invitation to publish this small
   collection of papers, and to Brion Salter for cartography. We appreciate
   funding by the U.S. Fish and Wildlife Service, The Wilderness Society;
   The Nature Conservancy, Oregon; Conservation Northwest; The Ecological
   Restoration Institute; Washington State Department of Natural Resources;
   USDA-FS, the Pacific Northwest and Pacific Southwest Research Stations,
   and the California Department of Forestry and Fire Protection in support
   of these reviews.
CR Abatzoglou JT, 2016, P NATL ACAD SCI USA, V113, P11770, DOI 10.1073/pnas.1607171113
   Ager AA, 2020, ECOL MODEL, V421, DOI 10.1016/j.ecolmodel.2020.108962
   Allen CD, 2002, ECOL APPL, V12, P1418
   Anderson MK, 2005, TENDING THE WILD: NATIVE AMERICAN KNOWLEDGE AND THE MANAGEMENT OF CALIFORNIA'S NATURAL RESOURCES, P1
   [Anonymous], 2014, Science synthesis to support socio-ecological resilience in the Sierra Nevada and southern Cascade Range. General Technical Report PSW-GTR-247
   [Anonymous], 2017, NIST SPECIAL PUBLICA, DOI 10.6028/NIST.SP.1215
   Asner GP, 2016, P NATL ACAD SCI USA, V113, pE249, DOI 10.1073/pnas.1523397113
   Balch JK, 2017, P NATL ACAD SCI USA, V114, P2946, DOI 10.1073/pnas.1617394114
   Barnett K, 2016, FORESTS, V7, DOI 10.3390/f7100237
   Bastin JF, 2019, SCIENCE, V365, P76, DOI 10.1126/science.aax0848
   Belsky AJ, 1997, CONSERV BIOL, V11, P315, DOI 10.1046/j.1523-1739.1997.95405.x
   Bisson PA, 2003, FOREST ECOL MANAG, V178, P213, DOI 10.1016/S0378-1127(03)00063-X
   Bormann BT, 2007, BIOSCIENCE, V57, P186, DOI 10.1641/B570213
   Bowman DMJS, 2016, PHILOS T R SOC B, V371, DOI 10.1098/rstb.2015.0169
   Boyd R, 1999, INDIANS FIRE LAND PA, P54
   Brown MB, 2008, MINERVA, V46, P485, DOI 10.1007/s11024-008-9106-y
   Bryant T, 2019, FRONT FOR GLOB CHANG, V2, DOI 10.3389/ffgc.2019.00056
   Calkin DE, 2005, J FOREST, V103, P179, DOI 10.1093/jof/103.4.179
   Carey Andrew B., 2006, Northwestern Naturalist, V87, P18, DOI 10.1898/1051-1733(2006)87[18:AAPFMF]2.0.CO;2
   Churchill DJ, 2013, FOREST ECOL MANAG, V291, P442, DOI 10.1016/j.foreco.2012.11.007
   Cohen JD, 2000, J FOREST, V98, P15
   Coop JD, 2020, BIOSCIENCE, V70, P659, DOI 10.1093/biosci/biaa061
   Coppoletta M, 2016, ECOL APPL, V26, P686, DOI 10.1890/15-0225
   Dale VH, 2001, BIOSCIENCE, V51, P723, DOI 10.1641/0006-3568(2001)051[0723:CCAFD]2.0.CO;2
   Fettig CJ, 2019, FOREST ECOL MANAG, V432, P164, DOI 10.1016/j.foreco.2018.09.006
   Franklin J.F., 2018, ECOLOGICAL FOREST MA, P646
   Franklin JF, 2013, J FOREST, V111, P429, DOI 10.5849/jof.13-071
   Franklin JF, 2012, J FOREST, V110, P429, DOI 10.5849/jof.10-006
   Fulé PZ, 2014, GLOBAL ECOL BIOGEOGR, V23, P825, DOI 10.1111/geb.12136
   Garibaldi A., 2004, Ecology and Society, V9, P1
   Garrard GE, 2016, CONSERV LETT, V9, P208, DOI 10.1111/conl.12193
   Grainger A, 2019, SCIENCE, V366, DOI 10.1126/science.aay8334
   Hagmann RK, 2021, ECOL APPL, V31, DOI 10.1002/eap.2431
   Hagmann RK, 2014, FOREST ECOL MANAG, V330, P158, DOI [10.1016/j.foreco.2014.0, 10.1016/j.foreco.2014.06.044]
   Hagmann RK, 2013, FOREST ECOL MANAG, V304, P492, DOI 10.1016/j.foreco.2013.04.005
   Henson P, 2018, BIOSCIENCE, V68, P861, DOI 10.1093/biosci/biy093
   Henson P, 2013, J FOREST, V111, P433, DOI 10.5849/jof.13-072
   Hessburg P. F., 2020, PNWGTR990 USDA FOR S, P114
   Hessburg PF, 2019, FRONT ECOL EVOL, V7, DOI 10.3389/fevo.2019.00239
   Hessburg PF, 2016, FOREST ECOL MANAG, V366, P221, DOI 10.1016/j.foreco.2016.01.034
   Hessburg PF, 2015, LANDSCAPE ECOL, V30, P1805, DOI 10.1007/s10980-015-0218-0
   Hessburg PF, 2013, SUSTAINABILITY-BASEL, V5, P805, DOI 10.3390/su5030805
   Hessburg PF, 2000, FOREST ECOL MANAG, V136, P53, DOI 10.1016/S0378-1127(99)00263-7
   Hessburg PF, 2005, FOREST ECOL MANAG, V211, P117, DOI 10.1016/j.foreco.2005.02.016
   Hessburg PF, 2003, FOREST ECOL MANAG, V178, P23, DOI 10.1016/S0378-1127(03)00052-5
   Hessburg PF, 1999, ECOL APPL, V9, P1232, DOI 10.1890/1051-0761(1999)009[1232:DCIFSP]2.0.CO;2
   Higuera PE, 2007, QUATERNARY SCI REV, V26, P1790, DOI 10.1016/j.quascirev.2007.03.010
   Hof AR, 2017, ECOSPHERE, V8, DOI 10.1002/ecs2.1981
   Huffman MR, 2013, ECOL SOC, V18, DOI 10.5751/ES-05843-180403
   Hurteau MD, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-39284-1
   Hurteau MD, 2014, FOREST ECOL MANAG, V327, P280, DOI 10.1016/j.foreco.2013.08.007
   Isaak DJ, 2010, ECOL APPL, V20, P1350, DOI 10.1890/09-0822.1
   Kangas J, 2005, FOREST ECOL MANAG, V207, P133, DOI 10.1016/j.foreco.2004.10.023
   Kay CE, 2000, USDA NE EXP, V274, P19
   Keane R.E., 2002, Rocky Mountain futures: an ecological perspective, P133
   Keane RE, 2004, ECOL MODEL, V179, P3, DOI 10.1016/j.ecolmodel.2004.03.015
   Keane RE, 2018, ECOSPHERE, V9, DOI 10.1002/ecs2.2414
   Kolden CA, 2019, FIRE-BASEL, V2, DOI 10.3390/fire2010009
   Kolden CA, 2019, FIRE-BASEL, V2, DOI 10.3390/fire2020030
   Komatsu H, 2020, J HYDROL, V585, DOI 10.1016/j.jhydrol.2020.124835
   Lach D, 2003, BIOSCIENCE, V53, P170, DOI 10.1641/0006-3568(2003)053[0170:AACOES]2.0.CO;2
   Lackey RT, 2007, CONSERV BIOL, V21, P12, DOI 10.1111/j.1523-1739.2006.00639.x
   Lake F.K., 2018, FOREST LANDSCAPE RES, P198, DOI [10.4324/9781315111872-12, DOI 10.4324/9781315111872-12]
   Lake F.K., 2019, ENCY WILDFIRES WILDL, P1, DOI DOI 10.1007/978-3-319-51727-8225-1
   Larson AJ, 2012, FOREST ECOL MANAG, V267, P74, DOI 10.1016/j.foreco.2011.11.038
   Lee K.N., 1999, Conservation Ecology, V3, P3, DOI DOI 10.5751/ES-00131-030203
   LeFevre ME, 2020, FOREST SCI, V66, P578, DOI 10.1093/forsci/fxaa014
   Levine CR, 2017, ECOL APPL, V27, P1498, DOI 10.1002/eap.1543
   Lewis SL, 2019, SCIENCE, V366, DOI 10.1126/science.aaz0388
   Liang S, 2018, FRONT ECOL ENVIRON, V16, P207, DOI 10.1002/fee.1791
   Lightfoot KG, 2013, CALIF ARCHAOL, V5, P371, DOI 10.1179/1947461X13Z.00000000020
   Long JN, 2009, FOREST ECOL MANAG, V257, P1868, DOI 10.1016/j.foreco.2008.12.019
   Long JW, 2020, ECOPSYCHOLOGY, V12, P71, DOI 10.1089/eco.2019.0055
   Long JW, 2018, ECOL SOC, V23, DOI 10.5751/ES-10041-230210
   Lydersen JM, 2013, FOREST ECOL MANAG, V304, P370, DOI 10.1016/j.foreco.2013.05.023
   Madeira L, 2018, J AM WATER WORKS ASS, V110, P42, DOI 10.1002/awwa.1097
   McKenzie D, 2004, CONSERV BIOL, V18, P890, DOI 10.1111/j.1523-1739.2004.00492.x
   Meyer MD., 2021, Postfire restoration framework for national forests in California. Gen. Tech. Report PSW-GTR-270, P204, DOI [10.2737/PSW-GTR-270, DOI 10.2737/PSW-GTR-270]
   Mildrexler DJ, 2020, FRONT FOR GLOB CHANG, V3, DOI 10.3389/ffgc.2020.594274
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Moreira F, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab541e
   Morgan P, 2008, ECOLOGY, V89, P717, DOI 10.1890/06-2049.1
   Moritz MA, 2013, ANN NY ACAD SCI, V1286, P92, DOI 10.1111/nyas.12104
   Newman EA, 2019, FRONT ECOL EVOL, V7, DOI 10.3389/fevo.2019.00147
   Norgaard K.M., 2014, HUMBOLDT J SOCIAL RE, V36, P77
   North M., 2009, General Technical Report - Pacific Southwest Research Station, USDA Forest Service
   North MP, 2015, SCIENCE, V349, P1280, DOI 10.1126/science.aab2356
   Noss RF, 2006, FRONT ECOL ENVIRON, V4, P481, DOI 10.1890/1540-9295(2006)4[481:MFFITW]2.0.CO;2
   Odion DC, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0087852
   Parks SA, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL089858
   Parks SA, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/3/035002
   Parks SA, 2015, ECOSPHERE, V6, DOI 10.1890/ES15-00294.1
   Parr CL, 2006, CONSERV BIOL, V20, P1610, DOI 10.1111/j.1523-1739.2006.00492.x
   Peery MZ, 2019, FRONT ECOL ENVIRON, V17, P80, DOI 10.1002/fee.2006
   Perry DA, 2011, FOREST ECOL MANAG, V262, P703, DOI 10.1016/j.foreco.2011.05.004
   Povak NA, 2018, ECOSPHERE, V9, DOI 10.1002/ecs2.2443
   Power MJ, 2018, FRONT EARTH SC-SWITZ, V6, DOI 10.3389/feart.2018.00151
   Prichard S.J., 2021, ECOL APPL
   Prichard SJ, 2017, FOREST ECOL MANAG, V396, P217, DOI 10.1016/j.foreco.2017.03.035
   Radeloff VC, 2018, P NATL ACAD SCI USA, V115, P3314, DOI 10.1073/pnas.1718850115
   Raphael MG, 2001, FOREST ECOL MANAG, V153, P63, DOI 10.1016/S0378-1127(01)00454-6
   Reynolds K.M., 2014, Making transparent environmental management decisions
   Rieman BE, 2010, BIOSCIENCE, V60, P460, DOI 10.1525/bio.2010.60.6.10
   Rosenzweig C, 2008, NATURE, V453, P353, DOI 10.1038/nature06937
   Rummer B., 2005, A strategic assessment of forest biomass and fuel reduction treatments in western states, P17
   Schoennagel T, 2017, P NATL ACAD SCI USA, V114, P4582, DOI 10.1073/pnas.1617464114
   Schoennagel T, 2011, ECOL APPL, V21, P2210, DOI 10.1890/10-1222.1
   Scott JM, 2007, CONSERV BIOL, V21, P29, DOI 10.1111/j.1523-1739.2006.00641.x
   Shakesby RA, 2006, EARTH-SCI REV, V74, P269, DOI 10.1016/j.earscirev.2005.10.006
   SOULE ME, 1985, BIOSCIENCE, V35, P727, DOI 10.2307/1310054
   Sowerwine J, 2019, J AGRIC FOOD SYST CO, V9, P167, DOI 10.5304/jafscd.2019.09B.013
   Sowerwine J, 2019, FOOD SECUR, V11, P579, DOI 10.1007/s12571-019-00925-y
   Spies Thomas A., 2018, U S Forest Service Pacific Northwest Research Station General Technical Report PNW-GTR, V1, P95
   Spies TA, 2019, FRONT ECOL ENVIRON, V17, P511, DOI 10.1002/fee.2101
   Spies TA, 2014, ECOL SOC, V19, DOI 10.5751/ES-06584-190309
   Stephens SL, 2020, FRONT ECOL ENVIRON, V18, P354, DOI 10.1002/fee.2218
   Stephens SL, 2019, FRONT ECOL ENVIRON, V17, P391, DOI 10.1002/fee.2076
   Stephens SL, 2018, BIOSCIENCE, V68, P77, DOI 10.1093/biosci/bix146
   Stephens SL, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/2/024003
   Stephens SL, 2009, ECOL APPL, V19, P305, DOI 10.1890/07-1755.1
   Stevens JT, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0147688
   Stevens JT, 2014, CAN J FOREST RES, V44, P843, DOI 10.1139/cjfr-2013-0460
   Stevens-Rumann C, 2016, ECOL APPL, V26, P1842, DOI 10.1890/15-1521.1
   Stewart OC., 2002, FORGOTTEN FIRES NATI
   Stockdale CA, 2019, ECOSPHERE, V10, DOI 10.1002/ecs2.2774
   Stockdale CA, 2015, APPL GEOGR, V63, P315, DOI 10.1016/j.apgeog.2015.07.012
   Sunstein C., 2003, PARALYZING PRINCIPLE, P2002
   Syphard AD, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0033954
   Taylor AH, 2003, ECOL APPL, V13, P704, DOI 10.1890/1051-0761(2003)013[0704:SPACOH]2.0.CO;2
   Taylor AH, 2016, P NATL ACAD SCI USA, V113, P13684, DOI 10.1073/pnas.1609775113
   Taylor RS, 2012, DIVERS DISTRIB, V18, P519, DOI 10.1111/j.1472-4642.2011.00842.x
   Vaillant NM, 2017, J FOREST, V115, P300, DOI 10.5849/jof.16-067
   Varghese J, 2021, ECOL MONOGR, V91, DOI 10.1002/ecm.1431
   Veldman JW, 2019, SCIENCE, V366, DOI 10.1126/science.aay7976
   Wei Y, 2019, FORESTS, V10, DOI 10.3390/f10040311
   Wellerstein A., 2018, SCIENCE, V362, P1006, DOI [10.1126/science.aav4900, DOI 10.1126/SCIENCE.AAV4900]
   Westerling AL, 2006, SCIENCE, V313, P940, DOI 10.1126/science.1128834
   Westerling AL, 2011, P NATL ACAD SCI USA, V108, P13165, DOI 10.1073/pnas.1110199108
   Westerling AL, 2016, PHILOS T R SOC B, V371, DOI 10.1098/rstb.2015.0178
   Wiens J. A., 2012, HIST ENV VARIATION C, P128
   Williams MA, 2012, GLOBAL ECOL BIOGEOGR, V21, P1042, DOI 10.1111/j.1466-8238.2011.00750.x
   Wood CM, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab4033
   Wu JG, 1995, Q REV BIOL, V70, P439, DOI 10.1086/419172
NR 143
TC 120
Z9 132
U1 5
U2 49
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1051-0761
EI 1939-5582
J9 ECOL APPL
JI Ecol. Appl.
PD DEC
PY 2021
VL 31
IS 8
AR e02432
DI 10.1002/eap.2432
EA AUG 2021
PG 17
WC Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA XF7IO
UT WOS:000688265100001
PM 34339086
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Engdaw, MM
   Ballinger, AP
   Hegerl, GC
   Steiner, AK
AF Engdaw, Mastawesha Misganaw
   Ballinger, Andrew P.
   Hegerl, Gabriele C.
   Steiner, Andrea K.
TI Changes in temperature and heat waves over Africa using observational
   and reanalysis data sets
SO INTERNATIONAL JOURNAL OF CLIMATOLOGY
LA English
DT Article
DE Africa; climate change; heat waves; observations; reanalysis;
   temperature extremes; time of emergence
ID EXTREMES; EMERGENCE; PAKISTAN; TIME
AB Providing comprehensive regional- and local-scale information on changes observed in the climate system plays a vital role in planning effective and efficient climate change adaptation options, specifically over resource-limited regions. Here, we assess changes in temperature and heat waves over different regions of the African continent, with a focus on spatiotemporal trends and the time of emergence of change in hot extremes from natural variability. We analyse absolute and relative threshold indices. Data sets include temperatures from observations (CRUTS4.03 and BEST) and from three representative state-of-the-art reanalyses (ERA5, MERRA2 and JRA-55) for the common period 1980-2018. Statistically significant warming is observed over all regions of Africa in temperature time series from CRU observations and reanalysis data, although the trend strength varies between data sets. Also, extreme temperatures and heat wave indices from BEST observations and all reanalysis data sets reveal increasing trends over all regions of the African continent. However, there are differences in both trend strength and time evolution of heat wave indices between different reanalysis data sets. Most data sets agree in identifying 2010 as a peak heat year over Northern and Western Africa while Eastern and Southern Africa experienced the highest heat wave occurrence in 2016. Our results clearly reveal that heat wave occurrences have emerged from natural climate variability in Africa. The earliest time of emergence takes place in the Northern Africa region in the early 2000s while in the other African regions emergence over natural variability is found mainly after 2010. This also depends on the respective index metrics, where indices based on more consecutive days show later emergence of heat wave trends. Overall, significant warming and an increase in heat wave occurrence is found in all regions of Africa and has emerged from natural variability in the past one or two decades.
C1 [Engdaw, Mastawesha Misganaw; Steiner, Andrea K.] Karl Franzens Univ Graz, Wegener Ctr Climate & Global Change WEGC, Graz, Austria.
   [Engdaw, Mastawesha Misganaw] Karl Franzens Univ Graz, FWF DK Climate Change, Graz, Austria.
   [Ballinger, Andrew P.; Hegerl, Gabriele C.] Univ Edinburgh, Sch Geosci, Edinburgh, Midlothian, Scotland.
   [Steiner, Andrea K.] Karl Franzens Univ Graz, Inst Geophys Astrophys & Meteorol, Inst Phys, Graz, Austria.
C3 University of Graz; University of Graz; University of Edinburgh;
   University of Graz
RP Engdaw, MM (corresponding author), Karl Franzens Univ Graz, Wegener Ctr Climate & Global Change WEGC, Graz, Austria.; Engdaw, MM (corresponding author), Karl Franzens Univ Graz, FWF DK Climate Change, Graz, Austria.
EM mastawesha.engdaw@uni-graz.at
RI Hegerl, Gabi/ACX-5813-2022; Steiner, Andrea/F-7980-2017
OI Ballinger, Andrew/0000-0003-3704-1976; Engdaw, Mastawesha
   Misganaw/0000-0001-8224-2369; Steiner, Andrea/0000-0003-1201-3303
FU Austrian Science Fund [W1256]; NERC [NE/S004661/1] Funding Source: UKRI
FX Austrian Science Fund, Grant/Award Number: W1256
CR Barkhordarian A, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL053026
   Barkhordarian A, 2012, CLIM DYNAM, V38, P1695, DOI 10.1007/s00382-011-1060-y
   Barros VR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1133
   Bindoff NL., 2013, DETECTION ATTRIBUTIO, P867
   Ceccherini G, 2017, NAT HAZARD EARTH SYS, V17, P115, DOI 10.5194/nhess-17-115-2017
   Chapman L, 2013, URBAN CLIM, V3, P7, DOI 10.1016/j.uclim.2013.04.001
   Christidis N, 2016, WEATHER CLIM EXTREME, V14, P24, DOI 10.1016/j.wace.2016.10.003
   Coumou D, 2012, NAT CLIM CHANGE, V2, P491, DOI 10.1038/NCLIMATE1452
   Cowan T, 2014, J CLIMATE, V27, P5851, DOI 10.1175/JCLI-D-14-00092.1
   Diffenbaugh NS, 2011, CLIMATIC CHANGE, V107, P615, DOI 10.1007/s10584-011-0112-y
   Evan AT, 2015, J CLIMATE, V28, P108, DOI 10.1175/JCLI-D-14-00039.1
   Gebrechorkos SH, 2019, INT J CLIMATOL, V39, P18, DOI 10.1002/joc.5777
   Gelaro R, 2017, J CLIMATE, V30, P5419, DOI 10.1175/JCLI-D-16-0758.1
   Guha-Sapir D., 2004, Thirty years of natural disasters 1974- 2003: The numbers
   Guirguis K, 2014, J APPL METEOROL CLIM, V53, P3, DOI 10.1175/JAMC-D-13-0130.1
   Guo XJ, 2017, THEOR APPL CLIMATOL, V128, P507, DOI 10.1007/s00704-015-1718-1
   Harrington LJ, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/5/055007
   Hawkins E, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2011GL050087
   Hawkins E, 2014, NATURE, V511, pE3, DOI 10.1038/nature13523
   Hegerl GC, 2011, NAT GEOSCI, V4, P142, DOI 10.1038/ngeo1090
   Hersbach H, 2020, Q J ROY METEOR SOC, V146, P1999, DOI 10.1002/qj.3803
   King AD, 2017, GEOPHYS MONOGR SER, V226, P95
   King AD, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/9/094015
   Kobayashi S, 2015, J METEOROL SOC JPN, V93, P5, DOI 10.2151/jmsj.2015-001
   Kuglitsch FG, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2009GL041841
   Largeron Y, 2020, CLIM DYNAM, V54, P3879, DOI 10.1007/s00382-020-05204-7
   Lau WKM, 2012, J HYDROMETEOROL, V13, P392, DOI 10.1175/JHM-D-11-016.1
   Lehner F, 2017, J CLIMATE, V30, P7739, DOI 10.1175/JCLI-D-16-0792.1
   Li DW, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab7d04
   Liao WL, 2018, GEOPHYS RES LETT, V45, P11310, DOI 10.1029/2018GL079679
   Lobell DB, 2011, CLIMATIC CHANGE, V109, P355, DOI 10.1007/s10584-011-0304-5
   Mahlstein I, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/3/034009
   Masood I, 2015, INT J OCCUP ENV MED, V6, P247, DOI 10.15171/ijoem.2015.672
   Morak S, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL048531
   Morak S, 2013, J CLIMATE, V26, P1561, DOI 10.1175/JCLI-D-11-00678.1
   Moron V, 2016, J GEOPHYS RES-ATMOS, V121, P5298, DOI 10.1002/2015JD024303
   Nicholson SE, 2013, HOLOCENE, V23, P1085, DOI 10.1177/0959683613483618
   Oueslati B, 2017, J CLIMATE, V30, P3095, DOI 10.1175/JCLI-D-16-0432.1
   Parkes B, 2019, CLIMATIC CHANGE, V154, P461, DOI 10.1007/s10584-019-02405-w
   Perkins SE, 2015, ATMOS RES, V164, P242, DOI 10.1016/j.atmosres.2015.05.014
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Ratnam JV, 2016, SCI REP-UK, V6, DOI 10.1038/srep24395
   Re Munich., 2011, Topics Geo-Natural Catastrophes 2010: Analyses, Assessments, Positions
   Robine JM, 2008, CR BIOL, V331, P171, DOI 10.1016/j.crvi.2007.12.001
   Rohini P, 2016, SCI REP-UK, V6, DOI 10.1038/srep26153
   Russo S, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-07536-7
   Russo S, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/5/054016
   Seneviratne SI, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P109
   Sherwood SC, 2018, J GEOPHYS RES-ATMOS, V123, P11808, DOI 10.1029/2018JD028969
   Shiva JS, 2019, EARTHS FUTURE, V7, P300, DOI 10.1029/2018EF001085
   Smith TT, 2013, CLIMATIC CHANGE, V118, P811, DOI 10.1007/s10584-012-0659-2
   The World Bank Group, 2020, ACC EL POP
   Vizy EK, 2012, J CLIMATE, V25, P5748, DOI 10.1175/JCLI-D-11-00693.1
   Wang PY, 2019, CLIM DYNAM, V52, P799, DOI 10.1007/s00382-018-4167-6
   Zhang XB, 2005, J CLIMATE, V18, P1641, DOI 10.1175/JCLI3366.1
NR 55
TC 31
Z9 32
U1 2
U2 25
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0899-8418
EI 1097-0088
J9 INT J CLIMATOL
JI Int. J. Climatol.
PD FEB
PY 2022
VL 42
IS 2
BP 1165
EP 1180
DI 10.1002/joc.7295
EA AUG 2021
PG 16
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA YU3ZD
UT WOS:000680618400001
OA Green Published
DA 2025-01-10
ER

PT J
AU Djenontin, INS
   Zulu, LC
AF Djenontin, Ida N. S.
   Zulu, Leo C.
TI The quest for context-relevant governance of agro-forest landscape
   restoration in Central Malawi: Insights from local processes
SO FOREST POLICY AND ECONOMICS
LA English
DT Article
DE Polycentric governance system; Ecology of games theory; Coordination;
   Social learning; Institutional externalities; Forest landscape
   restoration; Malawi
ID NATURAL-RESOURCE MANAGEMENT; CLIMATE-CHANGE ADAPTATION; POLYCENTRIC
   GOVERNANCE; INSTITUTIONAL ANALYSIS; WATER GOVERNANCE; COMMUNITY;
   CONSERVATION; COMPLEXITY; SYSTEMS; AGRICULTURE
AB Failures of sectoral approaches to avert environmental degradation increase demands for integrated approaches that mitigate conflictual management of forest, tree, and land resources. Despite much agreement on the consequent need for a holistic landscape approach for a well-integrated governance system, the requisite governance interactions and processes remain under-studied. Under the idea of polycentric governance systems (PGS), we employ the Ecology of Games Theory (EGT) to investigate qualitatively the structure and functions of the current governance system supporting collective restoration of two agro-forest landscapes in central Malawi. The EGT offers theoretical grounding for context-appropriate assessment of the quality of a PGS, based on 35 focus group discussions with local-level resource-governance bodies leading restoration efforts, 21 key informant interviews (KIIs) with district-level officers and local traditional authorities, and 16 KIIs with national-level stakeholders. The current governance system shares some PGS attributes but does not foster adequate cooperation to address challenges of limited resource capacity, inequitable resource distribution, and negative institutional externalities. Social learning and coordination mechanisms helped to catalyze critical interactions to realize some PGS benefits, but need strengthening. Findings show promise for a PGS that can achieve intersectoral and cross-scale coordination, building on the effective operationalization of existing decentralization institutions offering multi-stakeholder platforms and coordination venues. Dynamizing relevant policy spaces, institutions, and processes that foster necessary deliberation, learning, and coordination is important to mitigate negative institutional externalities. Findings uncover challenges of governance integration and can inform necessary institutional arrangements for well-coordinated landscape-scale restoration in Malawi and similar contexts in sub-Saharan Africa.
C1 [Djenontin, Ida N. S.; Zulu, Leo C.] Michigan State Univ, Dept Geog Environm & Spatial Sci, E Lansing, MI 48824 USA.
   [Djenontin, Ida N. S.] Michigan State Univ, Environm Sci & Policy Program ESPP, E Lansing, MI 48824 USA.
C3 Michigan State University; Michigan State University
RP Djenontin, INS (corresponding author), Michigan State Univ, Dept Geog Environm & Spatial Sci, E Lansing, MI 48824 USA.
EM djenonti@msu.edu
RI Djenontin, Ida/AAZ-1473-2021
OI Djenontin, Ida Nadia Sedjro/0000-0003-0991-5701
FU College of Social Sciences of Michigan State University (MSU);
   Environmental Science and Policy Program (ESPP) of MSU; Graduate Women
   International (GWI)
FX This research benefitted from the funding support of the Research
   Scholars Award under the College of Social Sciences of Michigan State
   University (MSU). It was also partly funded by the Environmental Science
   and Policy Program (ESPP) of MSU, and by the Graduate Women
   International (GWI) under the GWI Recognition Award.
CR Agrawal A, 2005, CURR ANTHROPOL, V46, P161, DOI 10.1086/427122
   Agrawal A, 1999, WORLD DEV, V27, P629, DOI 10.1016/S0305-750X(98)00161-2
   Andersson KP, 2008, POLICY SCI, V41, P71, DOI 10.1007/s11077-007-9055-6
   Angelsen A, 2010, P NATL ACAD SCI USA, V107, P19639, DOI 10.1073/pnas.0912014107
   Arts B, 2017, ANNU REV ENV RESOUR, V42, P439, DOI 10.1146/annurev-environ-102016-060932
   Berardo R, 2019, POLICY STUD J, V47, P6, DOI 10.1111/psj.12313
   Berkes F., 2002, DRAMA COMMONS, P293
   Berkes F, 2007, P NATL ACAD SCI USA, V104, P15188, DOI 10.1073/pnas.0702098104
   Blaikie P, 2006, WORLD DEV, V34, P1942, DOI 10.1016/j.worlddev.2005.11.023
   Blomquist W, 2011, POLICY STUD J, V39, P1, DOI 10.1111/j.1541-0072.2011.00402.x
   Brockhaus M., 2012, ANALYSING REDD CHALL, P15
   Carlisle K, 2019, POLICY STUD J, V47, P921, DOI 10.1111/psj.12212
   Cash DW, 2006, ECOL SOC, V11
   Chazdon R.L., 2021, LAND USE POLICY, V104, DOI [10.1016/j.landusepol.2020.104854, DOI 10.1016/j.lusepol.2020.104854]
   Chazdon RL, 2016, AM J BOT, V103, P1869, DOI 10.3732/ajb.1600294
   Chidumayo EN, 2013, ENERGY SUSTAIN DEV, V17, P86, DOI 10.1016/j.esd.2012.07.004
   Chinangwa L., 2016, Forests, Trees and Livelihoods, V25, P41, DOI 10.1080/14728028.2015.1087886
   Colfer C.J. P., 2011, COLLABORATIVE GOVERN
   Cox M, 2010, ECOL SOC, V15
   da Silveira AR, 2013, ANN ASSOC AM GEOGR, V103, P319, DOI 10.1080/00045608.2013.754687
   Djenontin I.N.S., SUSTAINABILITY-BASEL, V12, P5380
   Djenontin INS, 2021, ENVIRON MANAGE, V68, P619, DOI 10.1007/s00267-020-01360-y
   Djenontin INS, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10040906
   FAO] Food and Agriculture Organization, 2016, STAT WORLDS FOR 2016
   Galaz V, 2012, ECOL ECON, V81, P21, DOI 10.1016/j.ecolecon.2011.11.012
   Gondwe MF, 2019, J LAND USE SCI, V14, P281, DOI 10.1080/1747423X.2019.1706654
   Hamilton M, 2018, POLICY STUD J, V46, P222, DOI 10.1111/psj.12224
   Kaarhus R., 2006, DECENTRALISATION AGR
   Kalipeni E, 2002, J S AFR STUD, V28, P117, DOI 10.1080/03057070120117006
   Kamoto J.F.M., 2009, THESIS U READING UK
   Kamoto J, 2013, LAND USE POLICY, V35, P293, DOI 10.1016/j.landusepol.2013.06.002
   Kirui O.K., 2015, EC LAND DEGRADATION, P609, DOI [10.1007/978-3-319-19168-3_20/fulltext.html, DOI 10.1007/978-3-319-19168-3_20/FULLTEXT.HTML]
   Kowero G., 2003, POLICIES GOVERNANCE
   Laurance WF, 2014, TRENDS ECOL EVOL, V29, P107, DOI 10.1016/j.tree.2013.12.001
   Lawrence D, 2015, NAT CLIM CHANGE, V5, P27, DOI [10.1038/NCLIMATE2430, 10.1038/nclimate2430]
   Lemos MC, 2006, ANNU REV ENV RESOUR, V31, P297, DOI 10.1146/annurev.energy.31.042605.135621
   Lindhjem H., 2010, R2010018 EC POYRY
   Long HX, 2018, ENVIRON MANAGE, V62, P58, DOI 10.1007/s00267-017-0972-7
   Lubell M, 2017, PUBLIC ADMIN REV, V77, P668, DOI 10.1111/puar.12622
   Lubell M, 2014, ECOL SOC, V19, DOI 10.5751/ES-06880-190423
   Lubell M, 2013, POLICY STUD J, V41, P537, DOI 10.1111/psj.12028
   Mansourian S., 2016, World Development Perspectives, V3, P28, DOI 10.1016/j.wdp.2016.11.009
   Mansourian S., 2019, PARKS, V25, P83, DOI DOI 10.2305/IUCN.CH.2019.PARKS-25-1SM.EN
   Mansourian S, 2021, LAND USE POLICY, V104, DOI 10.1016/j.landusepol.2019.05.030
   Mansourian S, 2017, J NAT CONSERV, V37, P21, DOI 10.1016/j.jnc.2017.02.010
   Mansourian S, 2016, CONSERV SOC, V14, P267, DOI 10.4103/0972-4923.186830
   McGinnis MD, 2012, PUBLIC ADMIN REV, V72, P15, DOI 10.1111/j.1540-6210.2011.02488.x
   McGinnis MD, 2011, POLICY STUD J, V39, P169, DOI 10.1111/j.1541-0072.2010.00401.x
   McGinnis MichaelD., 1999, Polycentricity and Local Public Economies: Readings from the Workshop in Political Theory and Policy Analysis
   McLain R., 2017, ACCELERATING RESTORA
   McLain R., 2018, LAND USE POLICY, P103748, DOI DOI 10.1016/J.LANDUSEPOL.2018.11.053
   Mewhirter J, 2018, ENVIRON POLICY GOV, V28, P295, DOI 10.1002/eet.1816
   Milder JC, 2014, WORLD DEV, V54, P68, DOI 10.1016/j.worlddev.2013.07.006
   MNREM] Ministry of Natural Resources Energy and Mining, 2017, NAT FOR LANDSC REST
   MNREM] Ministry of Natural Resources Energy and Mining, 2018, FRAM MON PROGR MAL N
   Morrison TH, 2019, GLOBAL ENVIRON CHANG, V57, DOI 10.1016/j.gloenvcha.2019.101934
   Nagendra H, 2012, INT J COMMONS, V6, P104, DOI 10.18352/ijc.321
   National Statistical Office NSO, 2019, MAL POP HOUS CENS
   Olsson P, 2007, ECOL SOC, V12
   Oosten C. van, 2013, Journal of Sustainable Forestry, V32, P659, DOI 10.1080/10549811.2013.818551
   Ostrom E, 2005, UNDERSTANDING INSTITUTIONAL DIVERSITY, P1
   Ostrom E, 1998, AM POLIT SCI REV, V92, P1, DOI 10.2307/2585925
   Ostrom E., 2007, THEORIES POLICY PROC
   Ostrom E, 2011, POLICY STUD J, V39, P7, DOI 10.1111/j.1541-0072.2010.00394.x
   Ostrom E, 2010, GLOBAL ENVIRON CHANG, V20, P550, DOI 10.1016/j.gloenvcha.2010.07.004
   OSTROM V, 1961, AM POLIT SCI REV, V55, P831, DOI 10.2307/1952530
   Paavola J, 2007, ECOL ECON, V63, P93, DOI 10.1016/j.ecolecon.2006.09.026
   Pahl-Wostl C, 2014, GLOBAL ENVIRON CHANG, V29, P139, DOI 10.1016/j.gloenvcha.2014.09.003
   Pahl-Wostl C, 2012, ENVIRON SCI POLICY, V23, P24, DOI 10.1016/j.envsci.2012.07.014
   Palinkas LA, 2015, ADM POLICY MENT HLTH, V42, P533, DOI 10.1007/s10488-013-0528-y
   Petridou E, 2014, POLICY STUD J, V42, pS12, DOI 10.1111/psj.12054
   Pham T.T., 2013, APPROACHES BENEFIT S
   Poteete AR, 2004, DEV CHANGE, V35, P435, DOI 10.1111/j.1467-7660.2004.00360.x
   Reed J, 2020, LAND USE POLICY, V99, DOI 10.1016/j.landusepol.2020.104822
   Remme H., 2015, TECHNICAL REV COMMUN
   Ribot J., 2005, CAMILLA TOULMIN RUTE, P205
   Ros-Tonen MAF, 2018, ENVIRON MANAGE, V62, P1, DOI 10.1007/s00267-018-1055-0
   Sapkota RP, 2018, ENVIRON DEV, V27, P83, DOI 10.1016/j.envdev.2018.07.001
   Sayer J, 2013, P NATL ACAD SCI USA, V110, P8349, DOI 10.1073/pnas.1210595110
   Schlager E, 2013, POLICY STUD J, V41, P389, DOI 10.1111/psj.12030
   Schröder NJS, 2018, ENVIRON POLICY GOV, V28, P236, DOI 10.1002/eet.1812
   Senganimalunje TC, 2016, AGROFOREST SYST, V90, P691, DOI 10.1007/s10457-015-9826-6
   Shackleton S., 2002, ODI Natural Resource Perspectives
   van Oosten C, 2014, FORESTS, V5, P1143, DOI 10.3390/f5061143
   Walters G, 2021, LAND USE POLICY, V104, DOI 10.1016/j.landusepol.2019.104090
   Wiegant D, 2020, LAND USE POLICY, V96, DOI 10.1016/j.landusepol.2020.104686
   Wilson S. J., 2016, World Development Perspectives, V4, P11
   Young O.R., 2002, DRAMA COMMONS COMMIT, P263, DOI [10.17226/10287, DOI 10.17226/10287]
   Zhang Kun Zhang Kun, 2016, World Development Perspectives, V3, P18, DOI 10.1016/j.wdp.2016.11.002
   Zhou WJ, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11113119
   Zulu L.C., 2020, MIOMBO WOODLANDS CHA, DOI [DOI 10.1007/978-3-030-50104-4_5, 10.1007/978-3-030-50104-4_5]
   Zulu L, 2013, SUSTAINABILITY-BASEL, V5, P1917, DOI 10.3390/su5051917
   Zulu LC, 2013, ENERGY SUSTAIN DEV, V17, P127, DOI 10.1016/j.esd.2012.07.007
   Zulu LC, 2008, SOC NATUR RESOUR, V21, P687, DOI 10.1080/08941920802039242
   Zulu LC, 2018, FOOD POLICY, V79, P141, DOI 10.1016/j.foodpol.2018.06.007
   Zulu LC, 2012, PROG DEV STUD, V12, P193, DOI 10.1177/146499341101200307
   Zulu LC, 2009, GEOFORUM, V40, P686, DOI 10.1016/j.geoforum.2009.05.007
NR 97
TC 14
Z9 15
U1 0
U2 20
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1389-9341
EI 1872-7050
J9 FOREST POLICY ECON
JI Forest Policy Econ.
PD OCT
PY 2021
VL 131
AR 102555
DI 10.1016/j.forpol.2021.102555
EA JUL 2021
PG 24
WC Economics; Environmental Studies; Forestry
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Business & Economics; Environmental Sciences & Ecology; Forestry
GA UR3AI
UT WOS:000696624500012
DA 2025-01-10
ER

PT J
AU Amaris, G
   Gironás, J
   Hess, S
   Ortúzar, JD
AF Amaris, Gloria
   Gironas, Jorge
   Hess, Stephane
   Ortuzar, Juan de Dios
TI Capturing and analysing heterogeneity in residential greywater reuse
   preferences using a latent class model
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Greywater reuse preferences; Choice modelling; Latent class model; Class
   allocation
ID CLIMATE-CHANGE ADAPTATION; WATER REUSE; PUBLIC PERCEPTIONS; RECYCLED
   WATER; ACCEPTABILITY
AB To legally permit greywater reuse as a management strategy, it is necessary to establish allowed uses, as well as guarantee legitimacy, safety and maintain public trust. Cities with previous experience in greywater reuse have reconfigured their regulations according to their own evidence with decentralized water reuse systems. This has allowed them to encourage or restrict certain indoor uses of treated greywater. However, cities starting to use these residential schemes lack the experience to reconfigure their water and sanitation regulation, and thus need "blindly" decide on the type of greywater uses to allow in order to achieve a balance between users' acceptability and avoiding public health problems.
   In this research, we analyse hypothetical situations of greywater reuse based on real evidence related to decentralized water systems. The main objective of this study is to evaluate the heterogeneity of individuals' preferences regarding residential greywater reuse for six intended indoor uses, using stated choice experiments and a latent class model. Hence, we obtain preliminary evidence about the direction that the regulation or pilot tests should take. We use the context of Santiago (Chile) as a reference, where although allowed, greywater reuse is not taking place widely. Our results show that survey respondents can be classified into four classes (enthusiasts, greywater sceptics, appearance conscious and water expenditure conscious), according to the preferences for the different types of indoor greywater reuse and the appearance of the treated greywater. From a policy perspective, our results show differences across classes as a function of socioeconomic characteristics and previous greywater reuse knowledge, as well as wider household characteristics, including the presence of sensitive individuals (under 15 and over 74 years old), number of residents, number of sanitary devices, and location and type of garden.
C1 [Amaris, Gloria] Pontificia Univ Catolica Chile, Dept Ingn Hidraul & Ambiental, Santiago, Chile.
   [Amaris, Gloria] Ctr Desarrollo Urbano Sustentable CEDEUS, Santiago, Chile.
   [Gironas, Jorge] Pontificia Univ Catolica Chile, Dept Ingn Hidraul & Ambiental, Ctr Desarrollo Urbano Sustentable CEDEUS, Santiago, Chile.
   [Gironas, Jorge] Ctr Invest Gest Integrada Riesgo Desastres CIGIDE, Santiago, Chile.
   [Gironas, Jorge] Ctr Interdisciplinario Cambio Global UC, Santiago, Chile.
   [Hess, Stephane] Univ Leeds, Choice Modelling Ctr, Leeds, W Yorkshire, England.
   [Hess, Stephane] Univ Leeds, Inst Transport Studies, Leeds, W Yorkshire, England.
   [Ortuzar, Juan de Dios] Pontificia Univ Catolica Chile, Inst Sistemas Complejos Ingn ISCI, Dept Ingn Transporte & Logist, BRT Ctr Excellence, Santiago, Chile.
C3 Pontificia Universidad Catolica de Chile; Pontificia Universidad
   Catolica de Chile; University of Leeds; University of Leeds; Pontificia
   Universidad Catolica de Chile
RP Amaris, G (corresponding author), Pontificia Univ Catolica Chile, Dept Ingn Hidraul & Ambiental, Santiago, Chile.
EM geamaris@uc.cl
RI Gironás, Jorge/F-8297-2013; Hess, Stephane/AAX-2672-2020; Ortuzar, Juan
   de Dios/F-8277-2013
OI Amaris, Gloria/0000-0002-6577-7852; Ortuzar, Juan de
   Dios/0000-0003-3452-3574
FU Centre for Sustainable Urban Development, CEDEUS
   [CEDEUS/FONDAP/15110020]; Centro UC de Cambio Global, FONDECYT [171133];
   Colegio de Programas Doctorales y Vicerrectoria de investigacion (VRI);
   European Research Council [615596-DECISIONS]; Instituto Sistemas
   Complejos de Ingenierfa (ISCI) through grant CONICYT PIA/BASAL
   [AFB180003];  [CONICYT/FONDAP/15110017]
FX This research was funded by the Centre for Sustainable Urban
   Development, CEDEUS (grant CEDEUS/FONDAP/15110020). We also thank
   additional funding from Centro UC de Cambio Global, FONDECYT grant
   171133 and Colegio de Programas Doctorales y Vicerrectoria de
   investigaciOn (VRI). We wish to thank Oscar Melo, Margareth Gutierrez
   and Sebastian Vicuna for their advice on the survey design. Jorge
   Gironas also acknowledges grant CONICYT/FONDAP/15110017. Stephane Hess
   acknowledges the financial support by the European Research Council
   through the consolidator grant 615596-DECISIONS, Juan de Dios Ortnzar
   acknowledges the Instituto Sistemas Complejos de Ingenierfa (ISCI)
   through grant CONICYT PIA/BASAL AFB180003.
CR Aguas Andinas, 2019, REP INT
   Amaris G, 2021, RESOUR CONSERV RECY, V164, DOI 10.1016/j.resconrec.2020.105171
   Amaris G, 2020, WATER RES, V184, DOI 10.1016/j.watres.2020.116007
   Bonelli S, 2014, J WATER CLIM CHANGE, V5, P357, DOI 10.2166/wcc.2014.037
   Chen Z, 2017, RESOUR CONSERV RECY, V117, P125, DOI 10.1016/j.resconrec.2016.11.008
   Dolnicar S, 2009, J ENVIRON MANAGE, V90, P888, DOI 10.1016/j.jenvman.2008.02.003
   Dolnicar S, 2011, WATER RES, V45, P933, DOI 10.1016/j.watres.2010.09.030
   Domènech L, 2010, RESOUR CONSERV RECY, V55, P53, DOI 10.1016/j.resconrec.2010.07.001
   Franceschinis C, 2017, ENERGY, V125, P313, DOI 10.1016/j.energy.2017.02.060
   Garcia-Cuerva L, 2016, RESOUR CONSERV RECY, V113, P106, DOI 10.1016/j.resconrec.2016.06.006
   Gu QX, 2015, RESOUR CONSERV RECY, V104, P291, DOI 10.1016/j.resconrec.2015.07.013
   Hess S., 2014, Handbook of Choice Modelling, P311, DOI DOI 10.4337/9781781003152.00021
   Hess S, 2019, J CHOICE MODEL, V32, DOI 10.1016/j.jocm.2019.100170
   Ilemobade AA, 2013, WATER SA, V39, P351, DOI 10.4314/wsa.v39i3.2
   INE, 2018, MEM CENS 2017
   Lambert LA, 2018, ENVIRON SCI POLICY, V89, P93, DOI 10.1016/j.envsci.2018.07.015
   Lefebvre O, 2018, CURR OPIN ENV SCI HL, V2, P26, DOI 10.1016/j.coesh.2017.12.001
   Leng J, 2010, MICROBES INFECT, V12, P1120, DOI 10.1016/j.micinf.2010.08.009
   Louviere J.J., 2000, STATED CHOICE METHOD, P227, DOI [10.1017/CBO9780511753831.008, DOI 10.1017/CBO9780511753831.008]
   Mankad A, 2011, J ENVIRON MANAGE, V92, P380, DOI 10.1016/j.jenvman.2010.10.037
   Mason LR, 2018, URBAN WATER J, V15, P109, DOI 10.1080/1573062X.2017.1401098
   Mukherjee M, 2020, SAFETY SCI, V121, P5, DOI 10.1016/j.ssci.2019.08.039
   Ortuzar J., 2002, MODELING TRANSPORT, DOI DOI 10.1002/9781119993308
   Oteng-Peprah M, 2020, J ENVIRON MANAGE, V254, DOI 10.1016/j.jenvman.2019.109807
   Rose J.M., 2014, Handbook of choice modelling, P152
   Roshan A, 2020, J ENVIRON MANAGE, V268, DOI 10.1016/j.jenvman.2020.110663
   Su WH, 2018, J CLEAN PROD, V191, P318, DOI 10.1016/j.jclepro.2018.04.199
   Thi TNP, 2011, RESOUR CONSERV RECY, V55, P535, DOI 10.1016/j.resconrec.2011.01.004
   Train KE, 2009, DISCRETE CHOICE METHODS WITH SIMULATION, 2ND EDITION, P1, DOI 10.1017/CBO9780511805271
   Valdés-Pineda R, 2014, J HYDROL, V519, P2538, DOI 10.1016/j.jhydrol.2014.04.016
   Vicuña S, 2018, WATER INT, V43, P237, DOI 10.1080/02508060.2017.1416444
   Vuppaladadiyam AK, 2019, REV ENVIRON SCI BIO, V18, P77, DOI 10.1007/s11157-018-9487-9
   Wester J, 2016, WATER RESOUR RES, V52, P3212, DOI 10.1002/2015WR018340
   Wester J, 2015, J ENVIRON PSYCHOL, V42, P16, DOI 10.1016/j.jenvp.2015.01.003
   Wilcox J, 2016, SUSTAIN CITIES SOC, V27, P448, DOI 10.1016/j.scs.2016.06.021
NR 35
TC 4
Z9 4
U1 1
U2 19
PU ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
PI LONDON
PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
SN 0301-4797
EI 1095-8630
J9 J ENVIRON MANAGE
JI J. Environ. Manage.
PD FEB 1
PY 2021
VL 279
AR 111673
DI 10.1016/j.jenvman.2020.111673
PG 12
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA PS9HN
UT WOS:000608232900006
PM 33385802
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Rydgren, K
   Austad, I
   Hamre, LN
   Töpper, JP
AF Rydgren, Knut
   Austad, Ingvild
   Hamre, Liv Norunn
   Topper, Joachim P.
TI Wooded hay meadows as viable production systems in sustainable
   small-scale farming
SO AGROFORESTRY SYSTEMS
LA English
DT Article
DE Canopy cover; Management; Plant-plant interactions; Pollarding;
   Production; Tree-influence
ID SPECIES COMPOSITION; SCATTERED TREES; VEGETATION; MANAGEMENT;
   AGROFORESTRY; SUCCESSION; RESOURCES; TEMPERATE; DIVERSITY; PATTERNS
AB Wooded hay meadows provide livestock fodder in the form of both foliage from pollarded trees and hay from the understorey, and can be part of an environmentally friendly agroforestry system. However, trees may also have a negative effect on fodder production. Such trade-offs between productivity and sustainability in farming are poorly understood, especially in high-latitude areas. We studied hay production in two sites in the same wooded meadow in western Norway, one restored 6 years earlier than the other, to examine whether there were differences in hay production over a 4-year pollarding cycle. We measured production in transects starting from the trunks of pollarded and non-pollarded (reference) trees and running out into open meadow, and transects entirely in open meadow. We examined whether pollarding influenced hay production, and whether hay production was related to the distance from the tree trunk. Total production differed between the two sites, indicating that both time since restoration and differences in overall tree influence affected hay production. We observed a strong and immediate pollarding effect (increase in hay production) due to reduced tree influence. Trees have a negative influence on production as demonstrated by the increase in hay production with increasing distance from the tree trunk. However, additional dry fodder produced by harvesting leaves from pollarded trees more than compensates for reduction in hay production under pollarded trees. Moreover, the understorey production in the wooded hay meadow is at the same level as fertilized meadows in Norway when we include the fodder consumed by sheep during spring and autumn grazing. A wooded hay meadow is an environmentally friendly production system that does not compromise food production. Its tree component can also play an important role in climate change adaptation and mitigation, and supports higher biodiversity than industrial food production systems.
C1 [Rydgren, Knut; Austad, Ingvild; Hamre, Liv Norunn] Western Norway Univ Appl Sci, Dept Environm Sci, POB 133, N-6851 Sogndal, Norway.
   [Topper, Joachim P.] Norwegian Inst Nat Res, Thormohlensgate 55, N-5006 Bergen, Norway.
C3 Western Norway University of Applied Sciences; Norwegian Institute
   Nature Research
RP Rydgren, K (corresponding author), Western Norway Univ Appl Sci, Dept Environm Sci, POB 133, N-6851 Sogndal, Norway.
EM knut.rydgren@hvl.no; ingvild.austad@hvl.no; liv.hamre@hvl.no;
   Joachim.Topper@nina.no
RI Töpper, Joachim/AAG-6410-2020
OI Topper, Joachim/0000-0002-6996-7223; Rydgren, Knut/0000-0001-8910-2465
FU Research Council of Norway
FX Research Council of Norway.
CR Augusto L, 2015, BIOL REV, V90, P444, DOI 10.1111/brv.12119
   Austad I, 2003, ADV ECOL SCI, V18-19, P1091
   Austad I, 1998, NORD J BOT, V18, P641, DOI 10.1111/j.1756-1051.1998.tb01547.x
   Austad I, 2014, TRAER TRADISJON BRUK, P45
   Austad I, 2009, GRINDE ENGJASETE NAS, V2009, P1
   Austad I, 2001, NORWEGIAN ENGLISH SU, P135
   Austad I, 2014, TRAER TRADISJON BRUK, P57
   Bach LH, 2010, SOIL BIOL BIOCHEM, V42, P1934, DOI 10.1016/j.soilbio.2010.07.002
   Baer SG, 2002, ECOL APPL, V12, P1688, DOI 10.1890/1051-0761(2002)012[1688:CIESAF]2.0.CO;2
   Balmford A, 2012, P ROY SOC B-BIOL SCI, V279, P2714, DOI 10.1098/rspb.2012.0515
   Barbier S, 2008, FOREST ECOL MANAG, V254, P1, DOI 10.1016/j.foreco.2007.09.038
   Bergmeier E, 2010, BIODIVERS CONSERV, V19, P2995, DOI 10.1007/s10531-010-9872-3
   Burton JI, 2014, J ECOL, V102, P1634, DOI 10.1111/1365-2745.12319
   Core Team R., 2019, R: A language and environment for statistical computing
   Dohn J, 2013, J ECOL, V101, P202, DOI 10.1111/1365-2745.12010
   Dominguez-Begines J, 2019, J ECOL, V107, P1199, DOI 10.1111/1365-2745.13091
   Erb KH, 2018, NATURE, V553, P73, DOI 10.1038/nature25138
   Firbank LG, 2012, INT J AGR SUSTAIN, V10, P1, DOI 10.1080/14735903.2012.621747
   Foley JA, 2011, NATURE, V478, P337, DOI 10.1038/nature10452
   Fremstad E, 2001, U VITENSKMUS RAPP BO, V2001, P1
   HAEGGSTROM C-A, 1983, Acta Botanica Fennica, V120, P1
   Haeggstrom CA, 1998, ECOLOGICAL HISTORY OF EUROPEAN FORESTS, P33
   Hansson M, 2000, J VEG SCI, V11, P31, DOI 10.2307/3236772
   Hauge L, 2014, TRAER TRADISJON BRUK, P71
   Hoosbeek M. R., 2018, Agroforestry Systems, V92, P263
   Jacquet K, 2009, OECOLOGIA, V161, P801, DOI 10.1007/s00442-009-1422-x
   Jose S, 2019, AGROFOREST SYST, V93, P317, DOI 10.1007/s10457-016-0065-2
   Kotiluoto R, 1998, PLANT ECOL, V136, P53, DOI 10.1023/A:1009781217847
   Kremen C, 2018, SCIENCE, V362, DOI 10.1126/science.aau6020
   Kremen C, 2012, ECOL SOC, V17, DOI 10.5751/ES-05103-170444
   Lechenet M, 2017, NAT PLANTS, V3, DOI 10.1038/nplants.2017.8
   Locke Andrea, 2009, Aquatic Invasions, V4, P1, DOI 10.1007/s10457-009-9229-7
   Peri PL, 2016, AGROFOREST SYST, V90, P933, DOI 10.1007/s10457-016-9890-6
   Manning AD, 2009, J APPL ECOL, V46, P915, DOI 10.1111/j.1365-2664.2009.01657.x
   Mazía N, 2016, GLOBAL ECOL BIOGEOGR, V25, P1510, DOI 10.1111/geb.12518
   Moe B, 2000, PLANT ECOL, V151, P143, DOI 10.1023/A:1026585911823
   Moen A., 1999, NATL ATLAS NORWAY VE
   Mosquera-Losada MR, 2018, LAND USE POLICY, V78, P603, DOI 10.1016/j.landusepol.2018.06.052
   NGU, 2019, BERGGR
   Okland RH, 1999, OIKOS, V87, P488, DOI 10.2307/3546813
   Okland T, 2003, FOREST ECOL MANAG, V177, P17, DOI 10.1016/S0378-1127(02)00331-6
   Plieninger T, 2015, BIOL CONSERV, V190, P70, DOI 10.1016/j.biocon.2015.05.014
   Prach K, 2016, J VEG SCI, V27, P515, DOI 10.1111/jvs.12383
   Rivest D, 2013, AGR ECOSYST ENVIRON, V165, P74, DOI 10.1016/j.agee.2012.12.010
   Rydgren K, 1996, NORD J BOT, V16, P421, DOI 10.1111/j.1756-1051.1996.tb00254.x
   Rydgren K, 2020, J APPL ECOL, V57, P390, DOI 10.1111/1365-2664.13526
   Saetre P, 2000, SOIL BIOL BIOCHEM, V32, P909, DOI 10.1016/S0038-0717(99)00215-1
   Sammul M, 2008, AGR FOOD SCI, V17, P413, DOI 10.2137/145960608787235513
   Sánchez-Jardón L, 2014, AGROFOREST SYST, V88, P397, DOI 10.1007/s10457-014-9696-3
   Sánchez-Jardón L, 2014, AGR ECOSYST ENVIRON, V184, P41, DOI 10.1016/j.agee.2013.11.010
   Sánchez-Jardón L, 2010, AGR ECOSYST ENVIRON, V137, P213, DOI 10.1016/j.agee.2010.02.006
   Sarmiento L, 2003, PLANT ECOL, V166, P63, DOI 10.1023/A:1023262724696
   Scholes RJ, 1997, ANNU REV ECOL SYST, V28, P517, DOI 10.1146/annurev.ecolsys.28.1.517
   Slotte H, 2001, LANDSCAPE ECOL, V16, P691, DOI 10.1023/A:1014486331464
   Smith J, 2012, RENEW AGR FOOD SYST, V27, P323, DOI 10.1017/S1742170511000597
   Soler R, 2018, RANGELAND ECOL MANAG, V71, P637, DOI 10.1016/j.rama.2017.12.006
   Soliveres S, 2015, J VEG SCI, V26, P1030, DOI 10.1111/jvs.12312
   Thomas H, 2001, FUNCT ECOL, V15, P3, DOI 10.1046/j.1365-2435.2001.00488.x
   Wallin L, 2012, FOLIA GEOBOT, V47, P231, DOI 10.1007/s12224-012-9123-3
   Wickham H., 2009, ggplot2: Elegant Graphics for Data Analysis, DOI [10.1007/978-0-387-98141-3, 10.1007/978-3-319-24277-4]
   Woodcock BA, 2011, J APPL ECOL, V48, P1070, DOI 10.1111/j.1365-2664.2011.02029.x
   Wu YY, 2018, P NATL ACAD SCI USA, V115, P7010, DOI 10.1073/pnas.1806645115
NR 62
TC 1
Z9 1
U1 0
U2 18
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0167-4366
EI 1572-9680
J9 AGROFOREST SYST
JI Agrofor. Syst.
PD JAN
PY 2021
VL 95
IS 1
SI SI
BP 165
EP 176
DI 10.1007/s10457-020-00570-x
EA NOV 2020
PG 12
WC Agronomy; Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Forestry
GA QD1AP
UT WOS:000593818600001
DA 2025-01-10
ER

PT J
AU Haugo, RD
   Kellogg, BS
   Cansler, CA
   Kolden, CA
   Kemp, KB
   Robertson, JC
   Metlen, KL
   Vaillant, NM
   Restaino, CM
AF Haugo, Ryan D.
   Kellogg, Bryce S.
   Cansler, C. Alina
   Kolden, Crystal A.
   Kemp, Kerry B.
   Robertson, James C.
   Metlen, Kerry L.
   Vaillant, Nicole M.
   Restaino, Christina M.
TI The missing fire: quantifying human exclusion of wildfire in Pacific
   Northwest forests, USA
SO ECOSPHERE
LA English
DT Article
DE forest management; historical range of variability; Pacific Northwest;
   wildfire
ID STAND-REPLACING FIRE; CLIMATE-CHANGE; HISTORICAL RANGE; UNITED-STATES;
   BURN SEVERITY; RESTORATION NEEDS; MANAGING FORESTS; LANDSCAPE;
   MANAGEMENT; REGIMES
AB Western U.S. wildfire area burned has increased dramatically over the last half-century. How contemporary extent and severity of wildfires compare to the pre-settlement patterns to which ecosystems are adapted is debated. We compared large wildfires in Pacific Northwest forests from 1984 to 2015 to modeled historic fire regimes. Despite late twentieth-century increases in area burned, we show that Pacific Northwest forests have experienced an order of magnitude less fire over 32 yr than expected under historic fire regimes. Within fires that have burned, severity distributions are disconnected from historical references. From 1984 to 2015, 1.6 M ha burned; this is 13.3-18.9 M ha less than expected. Deficits were greatest in dry forest ecosystems adapted to frequent, low-severity fire, where 72-10.3 M ha of low-severity fire was missing, compared to a 0.2-1.1 M ha deficit of high-severity fire. When these dry forests do burn, we observed that 36% burned with high-severity compared to 6-9% historically. We found smaller fire deficits, 0.3-0.6 M ha, within forest ecosystems adapted to infrequent, high-severity fire. However, we also acknowledge inherent limitations in evaluating contemporary fire regimes in ecosystems which historically burned infrequently and for which fires were highly episodic. The magnitude of contemporary fire deficits and disconnect in burn severity compared to historic fire regimes have important implications for climate change adaptation. Within forests characterized by low- and mixed-severity historic fire regimes, simply increasing wildfire extent while maintaining current trends in burn severity threatens ecosystem resilience and will potentially drive undesirable ecosystem transformations. Restoring natural fire regimes requires management that facilitates much more low- and moderate-severity fire.
C1 [Haugo, Ryan D.; Kellogg, Bryce S.; Kemp, Kerry B.; Robertson, James C.; Metlen, Kerry L.] Nature Conservancy, 821 SE 14th Ave, Portland, OR 97214 USA.
   [Cansler, C. Alina] US Forest Serv, Missoula Fire Sci Lab, USDA, Rocky Mt Res Stn, 5775 US Highway 10 West, Missoula, MT 59808 USA.
   [Kolden, Crystal A.] Univ Idaho, Dept Forest Rangeland & Fire Sci, 875 Perimeter Dr, Moscow, ID 83844 USA.
   [Vaillant, Nicole M.] US Forest Serv, Western Wildland Environm Threat Assessment Ctr, USDA, Pacific Northwest Res Stn, 3160 NE Third St, Prineville, OR 97754 USA.
   [Restaino, Christina M.] Tahoe Reg Planning Agcy, POB 5310, Stateline, NE 89449 USA.
C3 Nature Conservancy; United States Department of Agriculture (USDA);
   United States Forest Service; University of Idaho; United States
   Department of Agriculture (USDA); United States Forest Service
RP Haugo, RD (corresponding author), Nature Conservancy, 821 SE 14th Ave, Portland, OR 97214 USA.
EM rhaugo@tnc.org
OI Cansler, C. Alina/0000-0002-2155-4438
FU The Nature Conservancy in Oregon; The Nature Conservancy in Washington;
   Icicle Fund; National Science Foundation [DMS-1520873]; National Science
   Foundation under the USGS Northwest Climate Science Center [G14AP00177]
FX We thank Kori Blankenship, Matt Reilly, Travis Wooley, Chris Zanger, and
   Mark Stern for providing helpful feedback during the development of this
   analysis. We also thank Jim Lutz, Paul Hessburg, Hugh Possingham, and
   Nancy Grulke for providing helpful reviews of previous versions of this
   manuscript. Funding was provided by The Nature Conservancy in Oregon,
   The Nature Conservancy in Washington, and the Icicle Fund. Kolden was
   supported in part by the National Science Foundation under award no.
   DMS-1520873 and under agreement G14AP00177 from the USGS Northwest
   Climate Science Center.
CR Abatzoglou JT, 2016, P NATL ACAD SCI USA, V113, P11770, DOI 10.1073/pnas.1607171113
   Adams MA, 2013, FOREST ECOL MANAG, V294, P250, DOI 10.1016/j.foreco.2012.11.039
   Agee J., 1993, Fire Ecology of Pacific Northwest Forests
   [Anonymous], 2011, A Landscape Model for Predicting Potential Natural Vegetation of the Olympic Peninsula USA Using Boundary Equations and Newly Developed Environmental Variables
   [Anonymous], 2014, PNWGTR896 USDA FOR S
   [Anonymous], 2012, Proceedings of the National Academy of Sciences
   Arguez A, 2011, B AM METEOROL SOC, V92, P699, DOI 10.1175/2010BAMS2955.1
   Baker W.L., 2015, PLOS ONE, V10, P26
   Baker WL, 2018, ECOL APPL, V28, P284, DOI 10.1002/eap.1688
   Balch JK, 2017, P NATL ACAD SCI USA, V114, P2946, DOI 10.1073/pnas.1617394114
   Barbero R, 2015, INT J WILDLAND FIRE, V24, P892, DOI 10.1071/WF15083
   Barrett S., 2010, IN TERAGENCY FIRE RE
   Blankenship K, 2015, AIMS ENVIRON SCI, V2, P253, DOI 10.3934/environsci.2015.2.253
   Bowman DMJS, 2013, FRONT ECOL ENVIRON, V11, P66, DOI 10.1890/13.WB.005
   Bowman DMJS, 2009, SCIENCE, V324, P481, DOI 10.1126/science.1163886
   Cansler CA, 2018, ECOSPHERE, V9, DOI 10.1002/ecs2.2091
   Cansler CA, 2014, ECOL APPL, V24, P1037, DOI 10.1890/13-1077.1
   Collins BM, 2013, LANDSCAPE ECOL, V28, P1801, DOI 10.1007/s10980-013-9923-8
   Crausbay SD, 2017, ECOLOGY, V98, P2356, DOI 10.1002/ecy.1897
   Daniel C. J., 2012, General Technical Report - Pacific Northwest Research Station, USDA Forest Service, P5
   DeMeo T, 2018, NORTHWEST SCI, V92, P18, DOI 10.3955/046.092.0104
   Dennison PE, 2014, GEOPHYS RES LETT, V41, P2928, DOI 10.1002/2014GL059576
   Eidenshink J. C., 2007, Fire Ecology, V3, P3, DOI [10.4996/fireecology.0301003, DOI 10.4996/FIREECOLOGY.0301003]
   Falk DA, 2017, ANN MO BOT GARD, V102, P201, DOI 10.3417/2017006
   Falk DA, 2011, FRONT ECOL ENVIRON, V9, P446, DOI 10.1890/100052
   Franklin J.F., 1988, NATURAL VEGETATION O
   Franklin JF, 2012, J FOREST, V110, P429, DOI 10.5849/jof.10-006
   Fulé PZ, 2014, GLOBAL ECOL BIOGEOGR, V23, P825, DOI 10.1111/geb.12136
   Gärtner S, 2008, FOREST ECOL MANAG, V256, P1666, DOI 10.1016/j.foreco.2008.05.053
   Guiterman CH, 2018, ECOSYSTEMS, V21, P943, DOI 10.1007/s10021-017-0192-2
   Hagmann RK, 2018, ECOSPHERE, V9, DOI 10.1002/ecs2.2232
   Hanson CT, 2014, INT J WILDLAND FIRE, V23, P1, DOI 10.1071/WF13016
   Harvey BJ, 2014, P NATL ACAD SCI USA, V111, P15120, DOI 10.1073/pnas.1411346111
   Haugo R, 2015, FOREST ECOL MANAG, V335, P37, DOI 10.1016/j.foreco.2014.09.014
   Hessburg PF, 2007, LANDSCAPE ECOL, V22, P5, DOI 10.1007/s10980-007-9098-2
   Hessburg PF, 2015, LANDSCAPE ECOL, V30, P1805, DOI 10.1007/s10980-015-0218-0
   Hessburg PF, 2005, FOREST ECOL MANAG, V211, P117, DOI 10.1016/j.foreco.2005.02.016
   Hessburg PF, 2003, FOREST ECOL MANAG, V178, P23, DOI 10.1016/S0378-1127(03)00052-5
   Hurteau MD, 2016, ECOL APPL, V26, P382, DOI 10.1890/15-0337
   Keane R.E., 2006, Simulating Historical Landscape Dynamics Using the Landscape Fire Succession Model LANDSUM Version 4.0
   Keane RE, 2002, ECOL MODEL, V151, P29, DOI 10.1016/S0304-3800(01)00470-7
   Keane RE, 2007, ECOL MODEL, V204, P485, DOI 10.1016/j.ecolmodel.2007.02.005
   Keane RE, 2009, FOREST ECOL MANAG, V258, P1025, DOI 10.1016/j.foreco.2009.05.035
   Kemp KB, 2016, LANDSCAPE ECOL, V31, P619, DOI 10.1007/s10980-015-0268-3
   Kolden CA, 2015, NORTHWEST SCI, V89, P219, DOI 10.3955/046.089.0305
   Kolden CA, 2015, INT J WILDLAND FIRE, V24, P1023, DOI 10.1071/WF15082
   LANDFIRE, 2018, LANDFIRE BIOPH SETT
   Leenhouts B., 1998, Conservation Ecology, V2, DOI [10.5751/ES-00035-020101, DOI 10.5751/ES-00035-020101]
   Levine CR, 2017, ECOL APPL, V27, P1498, DOI 10.1002/eap.1543
   Littell J. S., 2009, WASHINGTON CLIMATE C, P255
   Lutz JA, 2009, FOREST ECOL MANAG, V257, P2296, DOI 10.1016/j.foreco.2009.03.009
   Lutz JA, 2011, FIRE ECOL, V7, P51, DOI 10.4996/fireecology.0702051
   Lydersen JM, 2017, ECOL APPL, V27, P2013, DOI 10.1002/eap.1586
   Mallek C, 2013, ECOSPHERE, V4, DOI [10.1890/ES13-00217.1, 10.1890/ES13-00217]
   McKenzie D, 2017, ECOL APPL, V27, P26, DOI 10.1002/eap.1420
   Meddens AJH, 2018, BIOSCIENCE, V68, P944, DOI 10.1093/biosci/biy103
   Meddens AJH, 2016, REMOTE SENS ENVIRON, V186, P275, DOI 10.1016/j.rse.2016.08.023
   Millar CI, 2015, SCIENCE, V349, P823, DOI 10.1126/science.aaa9933
   Miller JD, 2007, REMOTE SENS ENVIRON, V109, P66, DOI 10.1016/j.rse.2006.12.006
   Nonaka E, 2005, ECOL APPL, V15, P1727, DOI 10.1890/04-0902
   Odion DC, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0087852
   Parks SA, 2018, ECOGRAPHY, V41, P910, DOI 10.1111/ecog.03378
   Parks SA, 2015, ECOSPHERE, V6, DOI 10.1890/ES15-00294.1
   Parks SA, 2014, REMOTE SENS-BASEL, V6, P1827, DOI 10.3390/rs6031827
   Picotte JJ, 2016, INT J WILDLAND FIRE, V25, P413, DOI 10.1071/WF15039
   Pratt S., 2006, The LANDFIRE prototype project: nationally consistent and locally relevant geospatial data for wildland fire management, P277
   Prichard SJ, 2017, FOREST ECOL MANAG, V396, P217, DOI 10.1016/j.foreco.2017.03.035
   Reilly MJ, 2018, ECOL APPL, V28, P291, DOI 10.1002/eap.1644
   Reilly MJ, 2017, ECOSPHERE, V8, DOI 10.1002/ecs2.1695
   Rollins MG, 2009, INT J WILDLAND FIRE, V18, P235, DOI 10.1071/WF08088
   Savage M, 2005, CAN J FOREST RES, V35, P967, DOI 10.1139/X05-028
   Schoennagel T, 2017, P NATL ACAD SCI USA, V114, P4582, DOI 10.1073/pnas.1617464114
   Serra-Diaz JM, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-24642-2
   Simpson M., 2007, R6NRECOLTP03207 USDA
   Smith HG, 2011, J HYDROL, V396, P170, DOI 10.1016/j.jhydrol.2010.10.043
   Spies TA., 2018, Synthesis of Science to Inform Land Management within the Northwest Forest Plan Area, DOI [DOI 10.2737/PNW-GTR-966, 10.2737/pnw-gtr-966]
   Spracklen DV, 2009, J GEOPHYS RES-ATMOS, V114, DOI 10.1029/2008JD010966
   Stephens SL, 2013, SCIENCE, V342, P41, DOI 10.1126/science.1240294
   Stevens JT, 2017, FOREST ECOL MANAG, V406, P28, DOI 10.1016/j.foreco.2017.08.051
   Stevens JT, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0147688
   Stevens-Rumann CS, 2018, ECOL LETT, V21, P243, DOI 10.1111/ele.12889
   Sugihara NG, 2006, FIRE IN CALIFORNIA'S ECOSYSTEMS, P58
   Tepley AJ, 2017, GLOBAL CHANGE BIOL, V23, P4117, DOI 10.1111/gcb.13704
   Vaillant NM, 2017, J FOREST, V115, P300, DOI 10.5849/jof.16-067
   Weisberg PJ, 2003, FOREST ECOL MANAG, V172, P17, DOI 10.1016/S0378-1127(01)00805-2
   Wiken ED, 2011, N AM TERRESTRIAL ECO
   Williams MA, 2012, GLOBAL ECOL BIOGEOGR, V21, P1042, DOI 10.1111/j.1466-8238.2011.00750.x
NR 87
TC 67
Z9 79
U1 1
U2 30
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 2150-8925
J9 ECOSPHERE
JI Ecosphere
PD APR
PY 2019
VL 10
IS 4
AR e02702
DI 10.1002/ecs2.2702
PG 16
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA IE9SJ
UT WOS:000472716600045
OA gold
DA 2025-01-10
ER

PT J
AU Deligios, PA
   Chergia, AP
   Sanna, G
   Solinas, S
   Todde, G
   Narvarte, L
   Ledda, L
AF Deligios, Paola A.
   Chergia, Anna Paola
   Sanna, Gavino
   Solinas, Stefania
   Todde, Giuseppe
   Narvarte, Luis
   Ledda, Luigi
TI Climate change adaptation and water saving by innovative irrigation
   management applied on open field globe artichoke
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Heat stress; Horticultural crops; Evaporative cooling; Physiological
   responses; Earliness; Marketable heads
ID HIGH-TEMPERATURE; HEAT TOLERANCE; USE EFFICIENCY; FRUIT-QUALITY;
   GAS-EXCHANGE; PRODUCTIVITY; GROWTH; PLANT; MICROCLIMATE; STRATEGIES
AB The setting up of innovative irrigation water management might contribute to the mitigation of negative issues related to climate change. Our hypothesis was that globe artichoke irrigated with a traditionally drip system could be converted to an innovative water management system based on precision irrigation techniques and on evaporative cooling application in order to improve crop physiological status with positive impacts on earliness, total heads yield and water saving. Over two experiments carried out at plot- and field-scale, two litigation management systems, differing in type and application lime, were compared: (i) conventional, and (ii) canopy-cooling. Plant physiological status at a weekly sampling interval and the head atrophy incidence (as the ratio of the total primary heads collected) were monitored. We also recorded and determined heads production, and yield components. In both experiments, throughout the application period of evaporative cooling (three months), canopy-cooling showed the lowest value of leaf temperature and the highest photosynthesis values compared with the conventional one (+3 degrees C and -30%, respectively). The physiological advantage gained by the crop with evaporative cooling has led to a higher production both in terms of total yield (+30%), and in terms of harvested first order heads that from an economic viewpoint are the most profitable for farmers. At farm-scale, the canopy-cooling treatment resulted in a higher earliness (35 days) and water productivity (+36%) compared with conventional one. Our findings show that by combining evaporative cooling practice with precision irrigation technique the heads yield can be optimized also leading to a relevant water saving (-34%). Moreover, the study proved that canopy-cooling set up might be a winning strategy in order to mitigate climatic changes and heat stress conditions. (C) 2018 The Authors. Published by Elsevier B.V.
C1 [Deligios, Paola A.; Chergia, Anna Paola; Sanna, Gavino; Solinas, Stefania; Todde, Giuseppe; Ledda, Luigi] Univ Sassari, Dept Agr, Viale Italia 39, I-07100 Sassari, Italy.
   [Narvarte, Luis] Univ Politecn Madrid, Solar Energy Inst, Ciudad Univ S-N, E-28040 Madrid, Spain.
C3 University of Sassari; Universidad Politecnica de Madrid; Instituto de
   Energia Solar
RP Ledda, L (corresponding author), Univ Sassari, Dept Agr, Viale Italia 39, I-07100 Sassari, Italy.
EM lledda@uniss.it
RI Narvarte, Luis/X-6812-2019; Deligios, Paola/H-9888-2019; Ledda,
   Luigi/E-2649-2012
OI Narvarte, Luis/0000-0002-6289-7605; deligios, paola
   a./0000-0001-9724-2812; TODDE, Giuseppe/0000-0002-3293-2705; Ledda,
   Luigi/0000-0001-5337-5701
FU European Union's Horizon 2020 Research and Innovation programme
   [MASLOWATEN] [640771]; H2020 Societal Challenges Programme [640771]
   Funding Source: H2020 Societal Challenges Programme
FX This work was supported by the European Union's Horizon 2020 Research
   and Innovation programme [MASLOWATEN, grant number 640771, 2015].
CR [Anonymous], 2015, Plant physiology and development
   [Anonymous], IRRIGATION MEDITERRA
   [Anonymous], 1984, Statistical Procedures for Agricultural Research with Emphasis on Rice
   [Anonymous], EUR MED HEAT SUMM 20
   [Anonymous], CARCIOFO CARDO
   [Anonymous], 2008, 56 FAO
   [Anonymous], 35 P IT SOC AGR NAPL
   [Anonymous], BIOCLIMATIC MAP MEDI
   [Anonymous], PRECISION AGR CREATE
   [Anonymous], ACTA HORTIC
   [Anonymous], THESIS
   [Anonymous], 1996, SAS SYSTEM MIXED MOD, V4th
   [Anonymous], 24FAO
   [Anonymous], CARCIOFO CARDO
   [Anonymous], THESIS
   [Anonymous], CARCIOFO CARDO
   Ara N, 2013, J AGR SCI-TARIM BILI, V19, P188, DOI 10.1501/Tarimbil_0000001244
   Archontoulis SV, 2011, FIELD CROP RES, V122, P186, DOI 10.1016/j.fcr.2011.03.008
   Archontoulis S.V., 2011, THESIS WAGENINGEN U, P235
   Awasthi R, 2015, FRONT ENV SCI-SWITZ, V3, DOI 10.3389/fenvs.2015.00011
   Balafoutis A, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9081339
   Beretta AN, 2014, CIENC INVESTIG AGRAR, V41, P263, DOI 10.4067/S0718-16202014000200013
   Bita CE, 2013, FRONT PLANT SCI, V4, DOI 10.3389/fpls.2013.00273
   Bunce JA, 2003, FIELD CROP RES, V82, P37, DOI 10.1016/S0378-4290(03)00004-2
   Camejo D, 2005, J PLANT PHYSIOL, V162, P281, DOI 10.1016/j.jplph.2004.07.014
   Caravia L, 2017, AUST J GRAPE WINE R, V23, P48, DOI 10.1111/ajgw.12255
   Cavaiuolo M, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0178119
   Chambers U, 2015, ENVIRON ENTOMOL, V44, P1627, DOI 10.1093/ee/nvv137
   Chaves MM, 2016, PLANT SCI, V251, P54, DOI 10.1016/j.plantsci.2016.06.015
   Cravero V, 2010, SCI HORTIC-AMSTERDAM, V126, P73, DOI 10.1016/j.scienta.2010.07.012
   De Menna F, 2016, ENERGIES, V9, DOI 10.3390/en9020092
   De Pascale S, 2011, HORTTECHNOLOGY, V21, P301, DOI 10.21273/HORTTECH.21.3.301
   Di Venere D, 2005, ACTA HORTIC, P453, DOI 10.17660/ActaHortic.2005.681.63
   Dono G, 2013, WATER RESOUR MANAG, V27, P3607, DOI 10.1007/s11269-013-0367-3
   Dono G, 2013, AGR SYST, V117, P1, DOI 10.1016/j.agsy.2013.01.005
   Driedonks N, 2016, PLANT REPROD, V29, P67, DOI 10.1007/s00497-016-0275-9
   El-Bassiony AM, 2012, GESUNDE PFLANZ, V64, P175, DOI 10.1007/s10343-012-0286-x
   Evans RG, 2004, T ASAE, V47, P1029, DOI 10.13031/2013.16576
   Fahad S, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01147
   FARQUHAR GD, 1982, ANNU REV PLANT PHYS, V33, P317, DOI 10.1146/annurev.pp.33.060182.001533
   Feng Y, 2018, SCI HORTIC-AMSTERDAM, V238, P318, DOI 10.1016/j.scienta.2018.05.002
   FOURY C, 1967, ANN AMELIOR PLANT, V17, P357
   Gimenez C., 2005, ENCY SOILS ENV, P231, DOI [DOI 10.1016/B0-12-348530-4/00459-8, DOI 10.1016/B0-12348530-4/00459-8]
   Greer DH, 2017, ENVIRON EXP BOT, V138, P10, DOI 10.1016/j.envexpbot.2017.03.001
   Hatfield JL, 2015, WEATHER CLIM EXTREME, V10, P4, DOI 10.1016/j.wace.2015.08.001
   Hatfield JL, 2011, CROP ADAPTATION TO CLIMATE CHANGE, P27
   Houston L, 2018, CLIMATIC CHANGE, V146, P159, DOI 10.1007/s10584-017-1951-y
   Iglesias A, 2015, AGR WATER MANAGE, V155, P113, DOI 10.1016/j.agwat.2015.03.014
   Jenni S, 2008, ACTA HORTIC, V792, P379
   Kang SZ, 2017, AGR WATER MANAGE, V179, P5, DOI 10.1016/j.agwat.2016.05.007
   Koçer G, 2005, ACTA HORTIC, P163, DOI 10.17660/ActaHortic.2005.681.17
   Koscielny CB, 2018, FIELD CROP RES, V221, P61, DOI 10.1016/j.fcr.2018.02.014
   Kottek M., 2006, Meteor. Z., V15, P259, DOI [10.1127/0941-2948/2006/0130, DOI 10.1127/0941-2948/2006/0110]
   Lakatos L., 2012, Journal of Water and Land Development, P29
   Ledda L, 2013, IND CROP PROD, V47, P218, DOI 10.1016/j.indcrop.2013.03.013
   Leskovar DI, 2013, ACTA HORTIC, V983, P261
   Levidow L, 2014, AGR WATER MANAGE, V146, P84, DOI 10.1016/j.agwat.2014.07.012
   Leyva R, 2015, BIOSYST ENG, V129, P100, DOI 10.1016/j.biosystemseng.2014.09.018
   Liu HJ, 2006, BIOSYST ENG, V95, P349, DOI 10.1016/j.biosystemseng.2006.07.010
   Macua JI, 2005, ACTA HORTIC, P257, DOI 10.17660/ActaHortic.2005.681.33
   Mahan J. R., 2015, American Journal of Plant Sciences, V6, P249
   Mansour M, 2005, ACTA HORTIC, P127, DOI 10.17660/ActaHortic.2005.681.12
   Martin EA, 2016, SCI HORTIC-AMSTERDAM, V202, P156, DOI 10.1016/j.scienta.2016.02.033
   Martínez-Esplá A, 2017, J AGR FOOD CHEM, V65, P9247, DOI 10.1021/acs.jafc.7b03447
   Mathur S, 2014, J PHOTOCH PHOTOBIO B, V137, P116, DOI 10.1016/j.jphotobiol.2014.01.010
   Max JFJ, 2009, SCI HORTIC-AMSTERDAM, V122, P179, DOI 10.1016/j.scienta.2009.05.007
   Mileo AM, 2015, OXID MED CELL LONGEV, V2015, DOI 10.1155/2015/363827
   Montesano FF, 2015, FRONT PLANT SCI, V6, DOI 10.3389/fpls.2015.01150
   Nouraei S, 2018, SCI HORTIC-AMSTERDAM, V233, P378, DOI 10.1016/j.scienta.2017.12.060
   Pachauri R.K., 2014, CLIMATE CHANGE 2014
   Parchomchuk P, 1996, HORTSCIENCE, V31, P802, DOI 10.21273/HORTSCI.31.5.802
   Pascual-Seva N, 2016, AGR WATER MANAGE, V170, P140, DOI 10.1016/j.agwat.2016.01.021
   Pelletier V, 2016, SCI HORTIC-AMSTERDAM, V198, P445, DOI 10.1016/j.scienta.2015.12.028
   Pereira LS, 2012, AGR WATER MANAGE, V108, P39, DOI 10.1016/j.agwat.2011.08.022
   Perkins SE, 2013, J CLIMATE, V26, P4500, DOI 10.1175/JCLI-D-12-00383.1
   Pisanu A.B., 2009, CARCIOFO CARDO, P124
   Riahi J, 2017, AGRONOMY-BASEL, V7, DOI 10.3390/agronomy7040065
   Schrijver R., 2016, Precision agriculture and the future of farming in Europe Scientific Foresight Study, DOI DOI 10.2861/020809
   Sgroi F, 2015, HORTSCIENCE, V50, P1349, DOI 10.21273/HORTSCI.50.9.1349
   Shinohara T, 2017, SEED SCI TECHNOL, V45, P167, DOI 10.15258/sst.2017.45.1.07
   Spanu E, 2018, J SCI FOOD AGR, V98, P1079, DOI 10.1002/jsfa.8558
   Urban J, 2017, PLANT SIGNAL BEHAV, V12, DOI 10.1080/15592324.2017.1356534
   Urrego-Pereira YF, 2013, AGRON J, V105, P1515, DOI 10.2134/agronj2013.0119
   West GH, 2017, WATER-SUI, V9, DOI 10.3390/w9010028
   Yokoyama G., 2018, Environmental Control in Biology, V56, P13, DOI 10.2525/ecb.56.13
   Zhang DL, 2017, SCI REP-UK, V7, DOI 10.1038/srep43461
NR 86
TC 45
Z9 46
U1 0
U2 53
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD FEB 1
PY 2019
VL 649
BP 461
EP 472
DI 10.1016/j.scitotenv.2018.08.349
PG 12
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA GV4NL
UT WOS:000446076500042
PM 30176458
OA hybrid
DA 2025-01-10
ER

PT S
AU Vasseur, L
   Thornbush, MJ
   Plante, S
AF Vasseur, Liette
   Thornbush, Mary J.
   Plante, Steve
BA Vasseur, L
   Thornbush, MJ
   Plante, S
BF Vasseur, L
   Thornbush, MJ
   Plante, S
TI Findings from Initial Interviews
SO ADAPTATION TO COASTAL STORMS IN ATLANTIC CANADA
SE SpringerBriefs in Geography
LA English
DT Article; Book Chapter
DE Experiences; Responses; Major storms; Psychosocial barriers
ID CLIMATE-CHANGE ADAPTATION; SEA-LEVEL RISE; COASTAL COMMUNITIES;
   INDIGENOUS KNOWLEDGE; ENVIRONMENTAL-CHANGE; RESILIENCE; PERCEPTIONS;
   VULNERABILITY; STRATEGIES; IMPACTS
AB The initial set of interviews took place soon after the winter storms, in December 2010 and January 2011. The elaboration of the scheme of interview was collectively executed with Coastal Community Challenges-Community-University Research Alliance (CCC-CURA) partners (researchers, municipalities, citizens, nongovernmental organizations or NGOs, etc.) and pretested in the Acadian Peninsula, with the participation of the Coastal Zones Research Institute Inc. (CZRI) and the Universite de Moncton, Shippagan Campus (New Brunswick). Residents of rural coastal communities were interviewed in their native tongue (French or English). Based on semi-directed interviews held both singly and in couples, data analysis revealed several findings from the initial interviews that are relayed in this chapter. In particular, those affected by the 2010 winter storms in the Atlantic provinces (Quebec, New Brunswick, and Prince Edward Island) of Canada reported experiences and impacts that were mainly associated with storm surge and flooding as well as high waves and coastal erosion. The impacts affected personal property as well as businesses and public infrastructure, including roads, graveyards, and bridges, influencing evacuation points and the emergency response. Even though most people lived at the coast most of their lives and this was not the only major storm that they had experienced, their responses mainly included emotional reactions (of fear, stress or worry, panic, powerlessness), especially for those who were cut off from the mainland. The elderlies were particularly fearful of having to leave their homes and/or communities and this is indicative of the importance of demographics affecting experiences and responses. Various stressors were expressed by people and panic set in when people realized the extreme damages. In some cases, participants expressed powerlessness. There was a tendency to forget past storms, potentially as a psychological coping mechanism.
C1 [Vasseur, Liette] Brock Univ, Dept Biol Sci, St Catharines, ON, Canada.
   [Thornbush, Mary J.] Brock Univ, Dept Geog, St Catharines, ON, Canada.
   [Plante, Steve] Univ Quebec Rimouski, Dept Dev Reg & Terr, Rimouski, PQ, Canada.
C3 Brock University; Brock University; University of Quebec; Universite du
   Quebec a Rimouski
RP Vasseur, L (corresponding author), Brock Univ, Dept Biol Sci, St Catharines, ON, Canada.
RI Thornbush, Mary/AAM-8401-2021
CR Adams MS, 2014, ECOL SOC, V19, DOI 10.5751/ES-06569-190305
   [Anonymous], 2014, ECOL SOC, DOI DOI 10.5751/ES-06592-190319
   Armitage D, 2012, ECOL SOC, V17, DOI 10.5751/ES-04940-170415
   Aswani S, 2014, CONSERV BIOL, V28, P820, DOI 10.1111/cobi.12250
   Bengston DN, 2012, ECOL SOC, V17, DOI 10.5751/ES-04794-170210
   Bernier NB, 2010, CONT SHELF RES, V30, P353, DOI 10.1016/j.csr.2009.12.003
   Binder CR, 2013, ECOL SOC, V18, DOI 10.5751/ES-05551-180426
   Bizikova L, 2014, MITIG ADAPT STRAT GL, V19, P411, DOI 10.1007/s11027-012-9440-0
   Boillat S, 2013, ECOL SOC, V18, DOI 10.5751/ES-05894-180421
   Broderstad EG, 2014, ECOL SOC, V19, DOI 10.5751/ES-06533-190301
   Camill P., 2012, Journal of Environmental Studies and Sciences, V2, P111, DOI DOI 10.1007/s13412-011-0056-6
   Carmack E, 2012, AMBIO, V41, P56, DOI 10.1007/s13280-011-0225-6
   Cassidy L, 2012, ECOL SOC, V17, DOI 10.5751/ES-04963-170411
   Costas S, 2015, OCEAN COAST MANAGE, V118, P1, DOI 10.1016/j.ocecoaman.2015.05.015
   Dale A., 2010, Sustainability, V2, P215
   Dawson J, 2014, OCEAN COAST MANAGE, V89, P88, DOI 10.1016/j.ocecoaman.2013.12.005
   Dempsey R, 2005, RISK ANAL, V25, P1495, DOI 10.1111/j.1539-6924.2005.00695.x
   Douglas EM, 2012, MITIG ADAPT STRAT GL, V17, P537, DOI 10.1007/s11027-011-9340-8
   Folke C, 2011, AMBIO, V40, P719, DOI 10.1007/s13280-011-0184-y
   Forster J, 2014, MAR POLICY, V45, P204, DOI 10.1016/j.marpol.2013.10.017
   Frazier TG, 2010, APPL GEOGR, V30, P506, DOI 10.1016/j.apgeog.2010.05.007
   Friesinger S, 2010, OCEAN COAST MANAGE, V53, P669, DOI 10.1016/j.ocecoaman.2010.09.001
   Gidley J. M., 2009, Environmental Policy and Governance, V19, P427, DOI 10.1002/eet.524
   Gronewold AD, 2013, CLIMATIC CHANGE, V120, P697, DOI 10.1007/s10584-013-0840-2
   Halpern BS, 2012, MAR POLICY, V36, P198, DOI 10.1016/j.marpol.2011.05.004
   Han GQ, 2012, J MARINE SYST, V100, P19, DOI 10.1016/j.jmarsys.2012.03.012
   Hiwasaki L, 2015, CLIMATIC CHANGE, V128, P35, DOI 10.1007/s10584-014-1288-8
   Hogan A, 2013, INT J ENV RES PUB HE, V10, P3435, DOI 10.3390/ijerph10083435
   HOLLING CS, 1992, ECOL MONOGR, V62, P447, DOI 10.2307/2937313
   HOLLING CS, 1994, FUTURES, V26, P598, DOI 10.1016/0016-3287(94)90031-0
   Holling CS, 2002, ECOSYSTEMS, V5, P319, DOI 10.1007/s10021-001-0076-2
   Hopkins TS, 2011, ECOL SOC, V16, DOI 10.5751/ES-04553-160425
   Housty WG, 2014, ECOL SOC, V19, DOI 10.5751/ES-06668-190270
   Johnson KA, 2012, ECOL SOC, V17, DOI 10.5751/ES-04780-170209
   Jones R, 2010, ECOL SOC, V15
   Jonkman SN, 2013, J COASTAL RES, V29, P1212, DOI 10.2112/JCOASTRES-D-12-00230.1
   Kalanda-Joshua M, 2011, PHYS CHEM EARTH, V36, P996, DOI 10.1016/j.pce.2011.08.001
   Kane IO, 2014, COAST ENG, V87, P240, DOI 10.1016/j.coastaleng.2014.01.007
   Le Cornu E, 2014, CONSERV BIOL, V28, P902, DOI 10.1111/cobi.12310
   Linnekamp F, 2011, HABITAT INT, V35, P447, DOI 10.1016/j.habitatint.2010.12.003
   Lino GrimaA.P., 1993, International Journal of Environmental Studies, V44, P97
   Lloyd MG, 2013, LAND USE POLICY, V30, P925, DOI 10.1016/j.landusepol.2012.06.012
   Lowitt KN, 2014, ECOL SOC, V19, DOI 10.5751/ES-06498-190348
   Lozano I, 2004, MAR GEOL, V210, P205, DOI 10.1016/j.margeo.2004.05.026
   MacInnis B, 2015, CLIMATIC CHANGE, V128, P17, DOI 10.1007/s10584-014-1286-x
   Macintosh A, 2013, MITIG ADAPT STRAT GL, V18, P1035, DOI 10.1007/s11027-012-9406-2
   Magris RA, 2014, BIOL CONSERV, V170, P207, DOI 10.1016/j.biocon.2013.12.032
   Marín A, 2012, ECOL SOC, V17, DOI 10.5751/ES-04562-170113
   McNamara KE, 2011, LOCAL ENVIRON, V16, P887, DOI 10.1080/13549839.2011.615304
   Muir D, 2014, OCEAN COAST MANAGE, V94, P1, DOI 10.1016/j.ocecoaman.2014.03.017
   Munji CA, 2014, ESTUAR COAST SHELF S, V140, P67, DOI 10.1016/j.ecss.2013.11.017
   Mustelin J, 2013, CLIM DEV, V5, P189, DOI 10.1080/17565529.2013.812953
   Myers SA, 2012, AUSTRALAS J ENV MAN, V19, P164, DOI 10.1080/14486563.2011.646755
   Okey TA, 2014, REV FISH BIOL FISHER, V24, P519, DOI 10.1007/s11160-014-9342-1
   Olsson P, 2004, ENVIRON MANAGE, V34, P75, DOI 10.1007/s00267-003-0101-7
   Olsson P, 2006, ECOL SOC, V11, DOI 10.5751/ES-01595-110118
   Perrie W, 2010, J GEOPHYS RES, V115, P1
   Petersen B, 2013, ENVIRON PRAC, V15, P377, DOI 10.1017/S1466046613000446
   Pickart RS, 2011, PROG OCEANOGR, V88, P78, DOI 10.1016/j.pocean.2010.11.005
   Pitcher TJ, 2010, MAR POLICY, V34, P810, DOI 10.1016/j.marpol.2010.01.022
   Richards R, 2013, ENVIRON MODELL SOFTW, V44, P113, DOI 10.1016/j.envsoft.2012.07.008
   Rodela R, 2011, ECOL SOC, V16, DOI 10.5751/ES-04554-160430
   Sahin Oz, 2013, Structural Survey, V31, P283, DOI 10.1108/SS-01-2013-0006
   Salik KM, 2015, OCEAN COAST MANAGE, V112, P61, DOI 10.1016/j.ocecoaman.2015.05.006
   Smith TF, 2011, FUTURES, V43, P673, DOI 10.1016/j.futures.2011.05.008
   Snoussi M, 2009, GEOMORPHOLOGY, V107, P32, DOI 10.1016/j.geomorph.2006.07.043
   Sovacool BK, 2012, MITIG ADAPT STRAT GL, V17, P731, DOI 10.1007/s11027-011-9341-7
   Thiebaut S, 2010, J PHYS OCEANOGR, V40, P417, DOI 10.1175/2009JPO4204.1
   Tibbetts JR, 2013, J COAST CONSERV, V17, P775, DOI 10.1007/s11852-013-0277-9
   Ueda K, 2012, INT J JPN SOCIOL, V21, P21, DOI 10.1111/j.1475-6781.2012.01159.x
   Valdivia C, 2010, ANN ASSOC AM GEOGR, V100, P818, DOI 10.1080/00045608.2010.500198
   van Slobbe E, 2013, NAT HAZARDS, V66, P1461, DOI 10.1007/s11069-013-0612-3
   Vasseur L., 2014, Safe Havens: Protected Areas for Disaster Risk Reduction and Climate Change Adaptation, pp 33
   Vlasova T, 2013, POLAR REC, V49, P248, DOI 10.1017/S0032247413000119
   WALTERS CJ, 1990, ECOLOGY, V71, P2060, DOI 10.2307/1938620
   Zander KK, 2013, NAT HAZARDS, V67, P591, DOI 10.1007/s11069-013-0591-4
NR 76
TC 0
Z9 0
U1 0
U2 6
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 2211-4165
EI 2211-4173
BN 978-3-319-63492-0; 978-3-319-63491-3
J9 SPRINGERBRIEF GEOGR
PY 2018
BP 41
EP 54
DI 10.1007/978-3-319-63492-0_5
D2 10.1007/978-3-319-63492-0
PG 14
WC Environmental Studies; Geography; Geography, Physical; Meteorology &
   Atmospheric Sciences
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH); Book Citation Index – Science (BKCI-S)
SC Environmental Sciences & Ecology; Geography; Physical Geography;
   Meteorology & Atmospheric Sciences
GA BK2TI
UT WOS:000433935500006
DA 2025-01-10
ER

PT J
AU Sheehan, MC
AF Sheehan, Mary C.
TI Urban agrobiodiversity, health and city climate adaptation plans
SO BULLETIN OF THE WORLD HEALTH ORGANIZATION
LA English
DT Article
AB Objective To identify the scope and nature of agricultural biodiversity actions within the climate adaptation plans of a sample of large world cities.
   Methods I evaluated data from the 2021 Cities Climate Adaptation Actions database curated by the Carbon Disclosure Project. Cities with a population over 1 million and reporting at least one adaptation action were included. I identified actions involving agriculture and biodiversity using a framework consisting of five agrobiodiversity categories: urban and peri-urban land use and water management, and urban food supply chains, food availability and food environments. I also identified reported health co-benefits and health sector involvement.
   Findings Of 141 cities reviewed, 61 cities reported actions on agricultural biodiversity, mostly supporting land use or water management. Key health outcomes addressed were illnesses linked to air pollution and excessive heat and vector-borne diseases, corresponding with cities' major health concerns. Greenhouse gas mitigation was also addressed by many cities. Fewer cities reported actions in food categories or concern for noncommunicable diseases or poor nutrition. Nearly two thirds of cities (40/61) reported health co-benefits or health-sector involvement for at least one intervention. A higher proportion of the 43 cities in low- and middle-income countries reported agrobiodiversity actions and health co-benefits than the 18 cities in high-income countries.
   Conclusion Cities are key partners in achieving sustainable global agriculture that promotes health and supports climate and biodiversity goals. Cities can enhance this role through climate adaptation plans with strong health engagement, a focus on nature-based solutions and greater emphasis on food and nutrition.
C1 [Sheehan, Mary C.] Johns Hopkins Bloomberg Sch Publ Hlth, Hlth Policy & Management Dept, 615 North Wolfe St, Baltimore, MD 21205 USA.
C3 Johns Hopkins University; Johns Hopkins Bloomberg School of Public
   Health
RP Sheehan, MC (corresponding author), Johns Hopkins Bloomberg Sch Publ Hlth, Hlth Policy & Management Dept, 615 North Wolfe St, Baltimore, MD 21205 USA.
EM msheeh10@jh.edu
CR [Anonymous], 2015, Connecting global priorities: biodiversity and human health: a state of knowledge review.
   [Anonymous], 2022, Country classifications by income level: 2022-2023
   [Anonymous], 2022, Cities
   [Anonymous], 2020, Climate Change
   [Anonymous], 2020, Biodiversity and health: the WHO-CBD Joint Work Programme
   [Anonymous], 2022, Barcelona for climate: ecology, urban planning, infrastructures and mobility
   [Anonymous], 2022, Make the SDGs a reality
   [Anonymous], 2022, Urban food agenda
   [Anonymous], 2022, CDP cities, states and regions open data portal
   [Anonymous], 2018, The role of cities in the transformation of food systems: sharing lessons from Milan Food Policy Pact Cities
   [Anonymous], 2021, The Milan urban food policy pact: monitoring framework
   [Anonymous], 2022, COP26 special report on climate change and health: the health argument for climate action
   [Anonymous], 2017, Reshaping our future through local and subnational biodiversity action
   [Anonymous], 2022, Milan urban food policy pact
   [Anonymous], 2021, Urban nature and biodiversity for cities
   [Anonymous], 2022, Guidance for cities
   [Anonymous], 2022, RES IN RES CIT
   [Anonymous], 2019, The future of urban consumption in a 1.5 degree world: headline report
   [Anonymous], 2004, Building on gender, agrobiodiversity and local knowledge
   Artmann M, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10061937
   Aylett A, 2015, URBAN CLIM, V14, P4, DOI 10.1016/j.uclim.2015.06.005
   Barata M.M.L., 2018, Climate change and cities: second assessment report of the urban climate change research network, P363, DOI [DOI 10.1017/9781316563878.017, 10.1017/9781316563878.017]
   Birkmann J, 2022, SCI TOTAL ENVIRON, V803, DOI 10.1016/j.scitotenv.2021.150065
   Clucas B, 2018, URBAN ECOSYST, V21, P635, DOI 10.1007/s11252-018-0748-8
   Cooper DS, 2021, FRONT CONSERV SCI, V2, DOI 10.3389/fcosc.2021.734931
   Ebi KL, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abeadd
   Egerer M, 2021, NPJ URBAN SUSTAIN, V1, DOI 10.1038/s42949-021-00024-y
   Frantzeskaki N, 2019, BIOSCIENCE, V69, P455, DOI 10.1093/biosci/biz042
   Georgeson L, 2016, NAT CLIM CHANGE, V6, P584, DOI [10.1038/nclimate2944, 10.1038/NCLIMATE2944]
   Intergovernmental Panel on Climate Change (IPCC), 2021, AR6 Climate Change 2021: The Physical Science Basis
   Jones SK, 2021, NAT FOOD, V2, P712, DOI 10.1038/s43016-021-00344-3
   Laurance WF, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2202244119
   Leong M, 2018, BIOL LETTERS, V14, DOI 10.1098/rsbl.2018.0082
   Lin BB, 2021, LANCET PLANET HEALTH, V5, pE479, DOI 10.1016/S2542-5196(21)00135-2
   Marselle MR, 2021, CURR ENV HLTH REP, V8, P146, DOI 10.1007/s40572-021-00313-9
   Marselle MR, 2021, ENVIRON INT, V150, DOI 10.1016/j.envint.2021.106420
   McMichael AJ, 2011, J INTERN MED, V270, P401, DOI 10.1111/j.1365-2796.2011.02415.x
   Neira M., 2018, World Heal. Organ
   Nicholls E, 2020, SUSTAIN SCI, V15, P1585, DOI 10.1007/s11625-020-00792-z
   Pierce JR, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0235773
   Romanello M, 2021, LANCET, V398, P1619, DOI [10.1016/S0140-6736(21)01787-6, 10.1016/S0140-6736(23)01859-7]
   Sheehan M. C., 2022, PLOS CLIM, V1, DOI DOI 10.1371/JOURNAL.PCLM.0000012
   Sheehan MC, 2022, Urban agrobiodiversity, health and the opportunity of city climate adaptation plans: supplementary files, DOI [10.6084/m9.figshare.21603951, DOI 10.6084/M9.FIGSHARE.21603951]
   Steffen W, 2015, SCIENCE, V347, DOI 10.1126/science.1259855
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   UK GBC U. G. B. C., 2022, The Value of Urban Nature-Based Solutions
   Villanueva AB, 2017, EUR J SUSTAIN DEV, V6, P1, DOI 10.14207/ejsd.2017.v6n2p1
   Willett W, 2019, LANCET, V393, P447, DOI 10.1016/S0140-6736(18)31788-4
   Zimmerer KS, 2021, ONE EARTH, V4, P1557, DOI 10.1016/j.oneear.2021.10.012
NR 49
TC 2
Z9 2
U1 4
U2 14
PU WORLD HEALTH ORGANIZATION
PI GENEVA 27
PA MARKETING AND DISSEMINATION, CH-1211 GENEVA 27, SWITZERLAND
SN 0042-9686
EI 1564-0604
J9 B WORLD HEALTH ORGAN
JI Bull. World Health Organ.
PD FEB
PY 2023
VL 101
IS 2
BP 121
EP 129
DI 10.2471/BLT.22.288857
PG 9
WC Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Public, Environmental & Occupational Health
GA S2EU8
UT WOS:001069360600009
PM 36733616
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Kearns, A
AF Kearns, Allen
TI Climate adaptation engineering: a new direction for environmental
   science, engineering and technology in urban environments
SO INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY
LA English
DT Article
DE urban environment; climate adaptation engineering; policy implementation
ID DESIGN; PRINCIPLES; BALANCE; MODELS; XIAMEN
AB Over the last few decades, environmental scientists have played a critical role in tracking and describing the flows of urban resources such as energy, water, materials, wastes, greenhouse gases and chemical contaminants through cities, their regions and the global commons. There have been major technological advances in environmental chemistry, analytical instrumentation and numerical modelling of the transport of contaminants through air, water, soil and biota. There is now a much greater appreciation of the complexity of biogeochemical, hydrological, social and economic interactions that affect the behaviour of chemical contaminants in urban, industrial, agricultural and natural ecosystems. Arguably, this past emphasis has been on the descriptive and predictive approaches to urban environmental research with a strong emphasis on the biophysical, chemical, biogeochemical, hydrological and atmospheric sciences. The emerging challenge is how environmental scientists can more effectively bring their knowledge to those decision-makers who are responsible for changing urban and industrial processes that cause environmental impacts in the first place. As the global urban population grows, there are a range of new and complex urban climate adaptation challenges and opportunities in the built environment. These challenges include housing the vulnerable, improving indoor air quality, lowering health impacts in cities and adaptations to heat stress. The complexity and scale of these challenges will require environmental scientists to work collaboratively with other urban professionals, including engineers, planners, designers, economists, policymakers, managers and lawyers, and communities to bring about climate adaptation in urban environments.
C1 CSIRO Ecosyst Sci, Climate Adaptat Flagship, Canberra, ACT 2601, Australia.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   Ecosystem Sciences
RP Kearns, A (corresponding author), CSIRO Ecosyst Sci, Climate Adaptat Flagship, GPO Box 284, Canberra, ACT 2601, Australia.
EM allen.kearns@csiro.au
RI Kearns, Allen/D-7878-2011
CR Adger WN, 2009, ENVIRON PLANN A, V41, P2800, DOI 10.1068/a42244
   Allenby B, 2005, SCIENCE, V309, P1034, DOI 10.1126/science.1111534
   Anastas PT, 2003, ENVIRON SCI TECHNOL, V37, p94A, DOI 10.1021/es032373g
   Baker Lawrence A., 2006, Urban Ecosystems, V9, P45, DOI 10.1007/s11252-006-5529-0
   Bormann F.H., 1981, Pattern and process in a forest ecosystem
   Boyden S., 1981, ECOLOGY CITY ITS PEO
   Brewer GD, 1999, POLICY SCI, V32, P327, DOI 10.1023/A:1004706019826
   Diamond Miriam L, 2007, Environ Sci Technol, V41, P3796, DOI 10.1021/es072542n
   Felson AJ, 2005, FRONT ECOL ENVIRON, V3, P549, DOI 10.2307/3868611
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Kaye JP, 2006, TRENDS ECOL EVOL, V21, P192, DOI 10.1016/j.tree.2005.12.006
   Kearns Allen, 2007, N S W Public Health Bull, V18, P48
   Langsdale S, 2008, J CONTEMP WAT RES ED, V140, P24, DOI 10.1111/j.1936-704X.2008.00025.x
   Li XH, 2010, INT J SUST DEV WORLD, V17, P304, DOI 10.1080/13504509.2010.493711
   Maxwell J.A., 1989, ECOL ECON, V1, P233
   McDonough W, 2003, ENVIRON SCI TECHNOL, V37, p434A, DOI 10.1021/es0326322
   Meinshausen M, 2009, NATURE, V458, P1158, DOI 10.1038/nature08017
   Mitchell VG, 2008, HYDROL PROCESS, V22, P2891, DOI 10.1002/hyp.6868
   Pacala S, 2004, SCIENCE, V305, P968, DOI 10.1126/science.1100103
   Parry M, 2009, CLIMATIC CHANGE, V96, P23, DOI 10.1007/s10584-009-9646-7
   Pickett STA, 2001, ANNU REV ECOL SYST, V32, P127, DOI 10.1146/annurev.ecolsys.32.081501.114012
   Pickett STA, 2008, BIOSCIENCE, V58, P139, DOI 10.1641/B580208
   ROSENFELD AH, 1995, ENERG BUILDINGS, V22, P255, DOI 10.1016/0378-7788(95)00927-P
   Sarewitz D, 2007, ENVIRON SCI POLICY, V10, P5, DOI 10.1016/j.envsci.2006.10.001
   Schandl H, 2010, GLOBAL ENVIRON CHANG, V20, P636, DOI 10.1016/j.gloenvcha.2010.06.003
   Shi LY, 2010, INT J SUST DEV WORLD, V17, P324, DOI 10.1080/13504509.2010.489636
   Sterman JD, 2008, SCIENCE, V322, P532, DOI 10.1126/science.1162574
   UN HABITAT, 2009, PLANN SUST CIT GLOB
   *USEPA, 2010, INS STOR GUID IND AI
   Vieira PS, 2008, ENVIRON SCI TECHNOL, V42, P4663, DOI 10.1021/es071345l
   Wang XM, 2010, BUILD ENVIRON, V45, P1663, DOI 10.1016/j.buildenv.2010.01.022
NR 32
TC 2
Z9 3
U1 2
U2 36
PU TAYLOR & FRANCIS INC
PI PHILADELPHIA
PA 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA
SN 1350-4509
EI 1745-2627
J9 INT J SUST DEV WORLD
JI Int. J. Sustain. Dev. World Ecol.
PY 2011
VL 18
IS 3
SI SI
BP 201
EP 209
AR PII 938524257
DI 10.1080/13504509.2011.574740
PG 9
WC Green & Sustainable Science & Technology; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 776QH
UT WOS:000291551500003
DA 2025-01-10
ER

PT J
AU Bastir, M
   Sanz-Prieto, D
   Burgos, MA
   Pérez-Ramos, A
   Heuzé, Y
   Maréchal, L
   Evteev, A
   Toro-Ibacache, V
   Esteban-Ortega, F
AF Bastir, Markus
   Sanz-Prieto, Daniel
   Burgos, Manuel A.
   Perez-Ramos, Alejandro
   Heuze, Yann
   Marechal, Laura
   Evteev, Andrej
   Toro-Ibacache, Viviana
   Esteban-Ortega, Francisco
TI Beyond skeletal studies: A computational analysis of nasal airway
   function in climate adaptation
SO AMERICAN JOURNAL OF BIOLOGICAL ANTHROPOLOGY
LA English
DT Article
DE air-conditioning; computational fluid dynamics; ecogeographic variation;
   sexual dimorphism; soft tissue
ID FLUID-DYNAMICS SIMULATION; BASAL METABOLIC-RATE; NUMERICAL-SIMULATION;
   SEXUAL-DIMORPHISM; MAXILLARY SINUS; CRANIAL AIRWAYS; FLOW DYNAMICS;
   HUMAN NOSE; CONDITIONING CHARACTERISTICS; ECOGEOGRAPHIC VARIATION
AB ObjectivesEcogeographic variation in human nasal anatomy has historically been analyzed on skeletal morphology and interpreted in the context of climatic adaptations to respiratory air-conditioning. Only a few studies have analyzed nasal soft tissue morphology, actively involved in air-conditioning physiology.Materials and MethodsWe used in vivo computer tomographic scans of (N = 146) adult individuals from Cambodia, Chile, Russia, and Spain. We conducted (N = 438) airflow simulations during inspiration using computational fluid dynamics to analyze the air-conditioning capacities of the nasal soft tissue in the inflow, functional, and outflow tract, under three different environmental conditions: cold-dry; hot-dry; and hot-humid. We performed statistical comparisons between populations and sexes.ResultsSubjects from hot-humid regions showed significantly lower air-conditioning capacities than subjects from colder regions in all the three conditions, specifically within the isthmus region in the inflow tract, and the anterior part of the internal functional tract. Posterior to the functional tract, no differences were detected. No differences between sexes were found in any of the tracts and under any of the conditions.DiscussionOur statistical analyses support models of climatic adaptations of anterior nasal soft tissue morphology that fit with, and complement, previous research on dry skulls. However, our results challenge a morpho-functional model that attributes air-conditioning capacities exclusively to the functional tract located within the nasal cavity. Instead, our findings support studies that have suggested that both, the external nose and the intra-facial soft tissue airways contribute to efficiently warming and humidifying air during inspiration. This supports functional interpretations in modern midfacial variation and evolution.
C1 [Bastir, Markus; Sanz-Prieto, Daniel] Spanish Natl Res Council, Dept Paleobiol, Natl Museum Nat Sci, Paleoanthropol Grp, Madrid, Spain.
   [Sanz-Prieto, Daniel; Burgos, Manuel A.] Polytech Univ Cartagena, Dept Thermal & Fluid Engn, Fluid Mech & Thermal Engn Grp, Cartagena, Spain.
   [Sanz-Prieto, Daniel] Autonomous Univ Madrid, Fac Sci, Dept Biol, Madrid, Spain.
   [Perez-Ramos, Alejandro] Univ Malaga, Fac Sci, Dept Ecol & Geol, Paleobiol Paleoclimatol & Paleogeog Grp, Malaga, Spain.
   [Heuze, Yann; Marechal, Laura] Univ Bordeaux, Minist Culture, CNRS, PACEA, Pessac, France.
   [Evteev, Andrej] Lomonosov Moscow State Univ, Anuchin Res Inst, Moscow, Russia.
   [Evteev, Andrej] Lomonosov Moscow State Univ, Museum Anthropol, Moscow, Russia.
   [Toro-Ibacache, Viviana] Univ Chile, Ctr Quantitat Anal Dent Anthropol, Fac Dent, Santiago, Chile.
   [Esteban-Ortega, Francisco] Univ Seville, Fac Med, Dept Surg, Seville, Spain.
   [Bastir, Markus] Spanish Natl Res Counci, Dept Paleobiol, Natl Museum Nat Sci, Paleoanthropol Grp, C Serrano 115 Bis, Madrid 28006, Spain.
C3 Consejo Superior de Investigaciones Cientificas (CSIC); Universidad
   Politecnica de Cartagena; Autonomous University of Madrid; Universidad
   de Malaga; Universite de Bordeaux; Centre National de la Recherche
   Scientifique (CNRS); Lomonosov Moscow State University; Lomonosov Moscow
   State University; Universidad de Chile; University of Sevilla
RP Bastir, M (corresponding author), Spanish Natl Res Counci, Dept Paleobiol, Natl Museum Nat Sci, Paleoanthropol Grp, C Serrano 115 Bis, Madrid 28006, Spain.
EM mbastir@mncn.csic.es
RI Sanz-Prieto, Daniel/HDN-3790-2022; Toro-Ibacache, Viviana/ACZ-7458-2022;
   Bastir, Markus/G-8987-2013
OI Bastir, Markus/0000-0002-3141-3401; Toro-Ibacache,
   Viviana/0000-0003-2265-8180; Sanz-Prieto, Daniel/0000-0001-9003-0075
FU Ministerio de Ciencia e Innovacion [PID2019-105097RB-I00/MCIN/AEI,
   PID2020-115854GB-I00/MCIN/AEI]
FX Ministerio de Ciencia e Innovacion, Grant/Award Numbers:
   PID2019-105097RB-I00/MCIN/AEI/10.13039/50110001103,
   PID2020-115854GB-I00/MCIN/AEI/10.13039/50110001103
CR ALBERCH P, 1990, MG PRIMATOL, V14, P15
   Alberch P., 1982, EVOL DEV, P313, DOI DOI 10.1007/978-3-642-45532-2_15
   Bastir M., 2019, Bulletins et Memoires de la Societe d'Anthropologie de Paris, V31, P5, DOI 10.3166/bmsap-2019-0055
   Bastir M, 2004, J HUM EVOL, V47, P359, DOI 10.1016/j.jhevol.2004.08.009
   Bastir M, 2022, ANAT REC, V305, P1962, DOI 10.1002/ar.24790
   Bastir M, 2020, AM J PHYS ANTHROPOL, V171, P65, DOI 10.1002/ajpa.23944
   Bastir M, 2013, AM J PHYS ANTHROPOL, V152, P287, DOI 10.1002/ajpa.22359
   Bastir M, 2011, AM J PHYS ANTHROPOL, V146, P414, DOI 10.1002/ajpa.21596
   Burgos M., ASSESSMENT SEX GEOGR
   Burgos MA, 2018, COMPUT BIOL MED, V98, P118, DOI 10.1016/j.compbiomed.2018.05.016
   Burgos MA, 2017, EUR ARCH OTO-RHINO-L, V274, P3121, DOI 10.1007/s00405-017-4611-y
   Burgos MA, 2014, INT J NUMER METH BIO, V30, P430, DOI 10.1002/cnm.2616
   Burgos MA, 2018, ACTA OTORRINOLAR ESP, V69, P125, DOI 10.1016/j.otorri.2017.05.005
   Butaric LN, 2022, ANAT REC, V305, P1910, DOI 10.1002/ar.24760
   Butaric LN, 2015, ANAT REC, V298, P1710, DOI 10.1002/ar.23182
   Butaric LN, 2010, AM J PHYS ANTHROPOL, V143, P426, DOI 10.1002/ajpa.21331
   CAREY JW, 1981, AM J PHYS ANTHROPOL, V56, P313, DOI 10.1002/ajpa.1330560312
   CAUNA N., 1982, NOSE UPPER AIRWAY PH, P45
   Churchill SE, 2004, AM J HUM BIOL, V16, P625, DOI 10.1002/ajhb.20074
   Cole P, 2000, AM J RHINOL, V14, P245, DOI 10.2500/105065800779954383
   COLE Ph., 1982, NOSE UPPER AIRWAY PH, P163
   CROGNIER E, 1981, J HUM EVOL, V10, P611, DOI 10.1016/S0047-2484(81)80069-3
   Crouse U, 1999, LARYNGOSCOPE, V109, P1503, DOI 10.1097/00005537-199909000-00027
   Davies A, 1932, J R ANTHROPOL INST G, V62, P337, DOI 10.2307/2843962
   de Azevedo S, 2017, P NATL ACAD SCI USA, V114, P12442, DOI 10.1073/pnas.1703790114
   Doorly DJ, 2008, RESP PHYSIOL NEUROBI, V163, P100, DOI 10.1016/j.resp.2008.07.027
   Eccles R., 1982, The nose: upper airway physiology and the atmospheric environment, P191
   Elad D, 2008, RESP PHYSIOL NEUROBI, V163, P121, DOI 10.1016/j.resp.2008.05.002
   Enlow DH., 1968, The human face: an account of the postnatal growth and development of the craniofacial skeleton
   ESI Group, 2004, OPENFOAM OFFICIAL HO
   Evteev A., 2022, MOSCOW U ANTHR B, V2, P78, DOI [10.32521/2074-8132.2022.2.078-084, DOI 10.32521/2074-8132.2022.2.078-084]
   Evteev A, 2014, AM J PHYS ANTHROPOL, V153, P449, DOI 10.1002/ajpa.22444
   Evteev AA, 2019, AM J PHYS ANTHROPOL, V169, P513, DOI 10.1002/ajpa.23841
   Foster F, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0072269
   Franciscus R.G., 1995, LATER PLEISTOCENE NA
   FRANCISCUS RG, 1991, AM J PHYS ANTHROPOL, V85, P419, DOI 10.1002/ajpa.1330850406
   Franciscus RG, 2002, J HUM EVOL, V42, P303, DOI 10.1006/jhev.2001.0528
   FRANCISCUS RG, 1988, AM J PHYS ANTHROPOL, V75, P517, DOI 10.1002/ajpa.1330750409
   Froehle AW, 2008, AM J HUM BIOL, V20, P510, DOI 10.1002/ajhb.20769
   Froehle AW, 2013, ORIGINS OF MODERN HUMANS: BIOLOGY RECONSIDERED, 2ND EDITION, P285
   Garcia GJM, 2007, J APPL PHYSIOL, V103, P1082, DOI 10.1152/japplphysiol.01118.2006
   Gomez-Recio Marta, 2022, Spanish Journal of Palaeontology, V37, P141, DOI 10.7203/sjp.25648
   Grützenmacher S, 2005, AM J RHINOL, V19, P53, DOI 10.1177/194589240501900109
   HAHN I, 1993, J APPL PHYSIOL, V75, P2273, DOI 10.1152/jappl.1993.75.5.2273
   Hall RL, 2005, AM J HUM BIOL, V17, P321, DOI 10.1002/ajhb.20122
   Hammer Oyvind, 2001, Palaeontologia Electronica, V4, pUnpaginated
   Hanida S., 2013, J. Biomech. Sci. Eng., V8, P209, DOI DOI 10.1299/JBSE.8.209
   Harvati K, 2006, ANAT REC PART A, V288A, P1225, DOI 10.1002/ar.a.20395
   Havenith G, 2005, Extreme Weather Events and Public Health Responses, P69, DOI 10.1007/3-540-28862-7_7
   Heuze Y., 2019, Bulletins et Memoires de la Societe d'Anthropologie de Paris, V31, P69, DOI 10.3166/bmsap-2018-0011
   Hörschler I, 2010, J BIOMECH, V43, P1081, DOI 10.1016/j.jbiomech.2009.12.008
   Holton N, 2013, ANAT REC, V296, P414, DOI 10.1002/ar.22655
   Holton NE, 2016, AM J PHYS ANTHROPOL, V160, P52, DOI 10.1002/ajpa.22941
   Holton NE, 2014, AM J PHYS ANTHROPOL, V153, P52, DOI 10.1002/ajpa.22402
   Holton NE, 2012, J ANAT, V221, P263, DOI 10.1111/j.1469-7580.2012.01533.x
   Holton NE, 2011, ANAT REC, V294, P68, DOI 10.1002/ar.21288
   Hopkins C., 2021, GRAYS ANATOMY ANATOM, P686
   INGELSTEDT S, 1951, ACTA OTO-LARYNGOL, V39, P286, DOI 10.3109/00016485109119255
   Inthavong K., 2007, P 16 AUSTRALASIAN FL, P842
   Inthavong K, 2018, COMPUT BIOL MED, V102, P40, DOI 10.1016/j.compbiomed.2018.09.010
   Inthavong K, 2019, CLIN BIOMECH, V66, P97, DOI 10.1016/j.clinbiomech.2017.10.006
   Inthavong K, 2009, ENG APPL COMP FLUID, V3, P321, DOI 10.1080/19942060.2009.11015274
   JAFEK BW, 1983, LARYNGOSCOPE, V93, P1576, DOI 10.1288/00005537-198312000-00011
   Keck T, 2000, LARYNGOSCOPE, V110, P651, DOI 10.1097/00005537-200004000-00021
   Keck T, 2000, RHINOLOGY, V38, P167
   Kelly AP, 2023, AM J BIOL ANTHROPOL, V180, P453, DOI 10.1002/ajpa.24692
   Keustermans W, 2018, ROY SOC OPEN SCI, V5, DOI 10.1098/rsos.181558
   Keyhani K, 1995, J BIOMECH ENG-T ASME, V117, P429, DOI 10.1115/1.2794204
   Kim DW, 2017, COMPUT BIOL MED, V86, P18, DOI 10.1016/j.compbiomed.2017.04.018
   Kloss-Brandstätter A, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-90145-2
   Kumahata Kiyoshi, 2010, Journal of Biomechanical Science and Engineering, V5, P565, DOI 10.1299/jbse.5.565
   Leonard WR, 2005, ANNU REV ANTHROPOL, V34, P451, DOI 10.1146/annurev.anthro.34.081804.120558
   Lindemann J, 2005, AM J OTOLARYNG, V26, P175, DOI 10.1016/j.amjoto.2005.02.010
   Lindemann J, 2005, RHINOLOGY, V43, P24
   Lindemann J, 2002, CLIN OTOLARYNGOL, V27, P135, DOI 10.1046/j.1365-2273.2002.00544.x
   Maddux SD, 2017, AM J PHYS ANTHROPOL, V162, P103, DOI 10.1002/ajpa.23100
   Maddux SD, 2016, AM J PHYS ANTHROPOL, V161, P309, DOI 10.1002/ajpa.23032
   Maréchal L, 2023, J ANAT, V242, P781, DOI 10.1111/joa.13813
   Marks TN, 2019, AM J PHYS ANTHROPOL, V169, P498, DOI 10.1002/ajpa.23840
   MCFADDEN ER, 1985, J APPL PHYSIOL, V58, P564, DOI 10.1152/jappl.1985.58.2.564
   Meg??a I., 2018, MONOGRAFIES SERP, p(pp. 53
   Mlynski G, 2001, RHINOLOGY, V39, P197
   Mori F, 2015, J EXP BIOL, V218, P2394, DOI 10.1242/jeb.118059
   Naftali S, 2005, ANN BIOMED ENG, V33, P545, DOI 10.1007/s10439-005-2513-4
   Nishimura T, 2016, PLOS COMPUT BIOL, V12, DOI 10.1371/journal.pcbi.1004807
   Noback ML, 2011, AM J PHYS ANTHROPOL, V145, P599, DOI 10.1002/ajpa.21523
   Ocobock C, 2022, J PHYSIOL ANTHROPOL, V41, DOI 10.1186/s40101-022-00290-4
   Ocobock C, 2022, AM J HUM BIOL, V34, DOI 10.1002/ajhb.23676
   Patel RG, 2015, OTOLARYNG HEAD NECK, V152, P353, DOI 10.1177/0194599814559385
   Proctor D., 1982, The nose, upper airway physiology and the atmospheric environment
   Proctor D. F., 1987, AM J RHINOL, V1, P27, DOI [10.2500/105065887781390354, DOI 10.2500/105065887781390354]
   PROCTOR DF, 1977, AM REV RESPIR DIS, V115, P97
   PROETZ AW, 1951, ANN OTO RHINOL LARYN, V60, P439, DOI 10.1177/000348945106000216
   R Core Team, 2013, R: A language and environment for statistical computing
   Ramprasad VH, 2016, J BIOMECH, V49, P450, DOI 10.1016/j.jbiomech.2016.01.009
   Rosas A, 2002, AM J PHYS ANTHROPOL, V117, P236, DOI 10.1002/ajpa.10023
   Rouadi P, 1999, J APPL PHYSIOL, V87, P400, DOI 10.1152/jappl.1999.87.1.400
   Sahin-Yilmaz Asli, 2011, Proc Am Thorac Soc, V8, P31, DOI 10.1513/pats.201007-050RN
   Schlager S, 2015, AM J PHYS ANTHROPOL, V157, P571, DOI 10.1002/ajpa.22749
   SCHMIDTN.K, 1970, RESP PHYSIOL, V9, P263, DOI 10.1016/0034-5687(70)90075-7
   SCHROTER RC, 1989, RESP PHYSIOL, V78, P357, DOI 10.1016/0034-5687(89)90110-2
   Shah R, 2022, RESP PHYSIOL NEUROBI, V297, DOI 10.1016/j.resp.2021.103823
   Siu J, 2021, CLIN BIOMECH, V81, DOI 10.1016/j.clinbiomech.2020.105237
   SMITH JM, 1985, Q REV BIOL, V60, P265, DOI 10.1086/414425
   Snodgrass JJ, 2005, AM J HUM BIOL, V17, P155, DOI 10.1002/ajhb.20106
   Taylor DJ, 2010, J R SOC INTERFACE, V7, P515, DOI 10.1098/rsif.2009.0306
   Thomson A, 1923, J R ANTHROPOL INST G, V53, P92, DOI 10.2307/2843753
   Tomczak M., 2014, TRENDS SPORT SCI, V1, P19
   Torres-Tamayo N, 2018, J ANAT, V232, P227, DOI 10.1111/joa.12743
   Tran CNH, 2021, AM J PHYS ANTHROPOL, V176, P422, DOI 10.1002/ajpa.24378
   WALKER JE, 1961, AM J MED, V30, P259, DOI 10.1016/0002-9343(61)90097-3
   Wang DY, 2012, CLIN EXP OTORHINOLAR, V5, P181, DOI 10.3342/ceo.2012.5.4.181
   WEBB P, 1951, J APPL PHYSIOL, V4, P378, DOI 10.1152/jappl.1951.4.5.378
   Weiner JS, 1954, AM J PHYS ANTHROP-NE, V12, P615, DOI 10.1002/ajpa.1330120412
   Weinhold N, 2004, EUR ARCH OTO-RHINO-L, V261, P452, DOI 10.1007/s00405-003-0675-y
   Wen J, 2008, RESP PHYSIOL NEUROBI, V161, P125, DOI 10.1016/j.resp.2008.01.012
   White MD, 2006, J APPL PHYSIOL, V101, P655, DOI 10.1152/japplphysiol.00210.2006
   Wickham H., 2009, ggplot2: Elegant Graphics for Data Analysis, DOI [10.1007/978-0-387-98141-3, 10.1007/978-3-319-24277-4]
   Wolf M, 2004, J LARYNGOL OTOL, V118, P87, DOI 10.1258/002221504772784504
   Wroe S, 2018, P ROY SOC B-BIOL SCI, V285, DOI 10.1098/rspb.2018.0085
   Xiong GX, 2008, AM J RHINOL, V22, P477, DOI 10.2500/ajr.2008.22.3211
   Yokley TR, 2009, AM J PHYS ANTHROPOL, V138, P11, DOI 10.1002/ajpa.20893
   Zaidi AA, 2017, PLOS GENET, V13, DOI 10.1371/journal.pgen.1006616
   Zhao K, 2014, INT FORUM ALLERGY RH, V4, P435, DOI 10.1002/alr.21319
   Zhu JH, 2011, RESP PHYSIOL NEUROBI, V175, P62, DOI 10.1016/j.resp.2010.09.008
NR 125
TC 0
Z9 0
U1 3
U2 6
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 2692-7691
J9 AM J BIOL ANTHROPOL
JI Am. J. Biol. Anthropol.
PD JUN
PY 2024
VL 184
IS 2
DI 10.1002/ajpa.24932
EA MAR 2024
PG 26
WC Anthropology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Anthropology; Evolutionary Biology
GA QY5S5
UT WOS:001189222900001
PM 38516761
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Klasic, M
   Fencl, A
   Ekstrom, JA
   Ford, A
AF Klasic, Meghan
   Fencl, Amanda
   Ekstrom, Julia A.
   Ford, Amanda
TI Adapting to extreme events: small drinking water system manager
   perspectives on the 2012-2016 California Drought
SO CLIMATIC CHANGE
LA English
DT Article
DE Drought; Climate adaptation; Drinking water; Small drinking water
   systems; Disadvantaged communities; Climate justice; Extreme events
ID CLIMATE-CHANGE; INSTITUTIONAL ADAPTATION; ATMOSPHERIC RIVERS; BARRIERS;
   VULNERABILITY; FRAMEWORK; RESPONSES; US
AB Under a changing climate, droughts are projected to increase in frequency and duration in the Southwestern USA. Between 2012 and 2016, California experienced one of the region's worst droughts, with record high temperatures and low snowpack, runoff, and precipitation. This study documents small drinking water system managers' experiences during the 2012-2016 Drought. We contribute to research on water system drought resilience by elevating small drinking water system manager perspectives and expertise. We are especially focused on small systems that are not reliant on imports from state or federal water projects. A mixed-method approach ensures each data collection period informs the next to gather statewide perspectives and experiences of managers. Based on an analysis of drinking water manager reflections, the types of impacts, responses, and barriers differed based on both system size and water source portfolio. Common disadvantages that hinder small drinking water systems' drought resilience and, similarly, climate adaptation include staff and administrative capacity; the financial burden of promoting water conservation over revenue compounded by onerous reporting and funding support programs; consumer awareness challenges; and challenges to consolidation from both local political differences and physical limitations. Systems that built technical, managerial, or financial capacity prior to the Drought were at an advantage over systems that lacked this capacity. In the long term, we found a dearth of adaptation planning among small water systems. Documentation of experiences from the 2012-2016 Drought can inform future planning for droughts and more broadly highlight needs for climate adaptation.
C1 [Klasic, Meghan; Ekstrom, Julia A.] Univ Calif Davis, Policy Inst Energy Environm & Econ, Davis, CA 95616 USA.
   [Klasic, Meghan; Fencl, Amanda] Univ Calif Davis, Ctr Environm Policy & Behav, Davis, CA 95616 USA.
   [Fencl, Amanda] Texas A&M Univ, Dept Geog, College Stn, TX 77843 USA.
   [Ekstrom, Julia A.] Calif Dept Water Resources, Sacramento, CA USA.
   [Ford, Amanda] Riverford Consulting, Sacramento, CA USA.
C3 University of California System; University of California Davis;
   University of California System; University of California Davis; Texas
   A&M University System; Texas A&M University College Station
RP Klasic, M (corresponding author), Univ Calif Davis, Policy Inst Energy Environm & Econ, Davis, CA 95616 USA.; Klasic, M (corresponding author), Univ Calif Davis, Ctr Environm Policy & Behav, Davis, CA 95616 USA.
EM mrklasic@ucdavis.edu
RI Fencl, Amanda/Z-1274-2018; Klasic, Meghan/HTS-8871-2023
OI Klasic, Meghan/0000-0002-4513-9124; Fencl, Amanda L/0000-0002-1914-0930
FU California Natural Resources Agency; USEPA [83519401]; National Science
   Foundation Graduate Research Fellowship program
FX This work was supported by the California Natural Resources Agency
   [California Fourth Climate Change Assessment]. In addition, M. Klasic
   and J. Ekstrom's time on this project was partially supported by USEPA
   grant number 83519401 and A. Fencl's time was partially supported by the
   National Science Foundation Graduate Research Fellowship program. All
   opinions expressed are those of the authors and do not represent the
   views of their affiliated institutions nor their funders, including the
   State of California, the University of California, Davis, the USEPA, and
   NSF. We appreciate the California State Water Resource Control Board,
   Department of Water Resources, and Indian Health Services, as well as
   numerous study participants for contributing their data and insights
   about water systems during the study. We thank Dr. Mark Lubell, Dr. Zeke
   Baker, and Frances Einertz for contributing to the Fourth Climate Change
   Assessment project implementation. Lastly, we thank the anonymous
   reviewers for their suggestions.
CR [Anonymous], 2021, Harmful Algal Blooms Home - Utah Department of Environmental Quality
   [Anonymous], 2014, PUBL UPD DROUGHT RES
   [Anonymous], 2002, CALIFORNIA STATE WAT
   [Anonymous], 2016, SDWIS Public Water Systems
   Archie KM, 2014, J ENVIRON MANAGE, V133, P397, DOI 10.1016/j.jenvman.2013.12.015
   Ayeb-Karlsson S, 2016, SUSTAIN SCI, V11, P679, DOI 10.1007/s11625-016-0379-z
   Baker Z, 2018, ENVIRON SOCIOL, V4, P419, DOI 10.1080/23251042.2018.1455123
   Balazs C., 2021, ACHIEVING HUMAN RIGH
   Balazs C, 2011, ENVIRON HEALTH PERSP, V119, P1272, DOI 10.1289/ehp.1002878
   Balazs CL, 2012, ENVIRON HEALTH-GLOB, V11, DOI 10.1186/1476-069X-11-84
   Berg N, 2015, J CLIMATE, V28, P6324, DOI 10.1175/JCLI-D-14-00624.1
   Bostic Darcy., 2021, At Risk: Public Supply Well Vulnerability Under California's Sustainable Groundwater Management Act
   Brown EG, 2015, EXECUTIVE ORDER B 29
   Brown EG, 2014, EXECUTIVE ORDER B 17
   California Senate, 2021, SB 552 DROUGHT PLANN
   Christian-Smith J., 2013, Assessing water affordability. A pilot study in two regions of California
   Christian-Smith J, 2015, SUSTAIN SCI, V10, P491, DOI 10.1007/s11625-014-0269-1
   Conrad E., 2013, PREPARING NEW RISK A
   Cornwall A., 2008, Community Development Journal, V43, P269, DOI [DOI 10.1093/CDJ/BSN010, 10.1093/cdj/bsn010]
   Costanza R, 2007, AMBIO, V36, P522, DOI 10.1579/0044-7447(2007)36[522:SOCWCW]2.0.CO;2
   Dettinger M, 2011, J AM WATER RESOUR AS, V47, P514, DOI 10.1111/j.1752-1688.2011.00546.x
   Dettinger MD, 2013, J HYDROMETEOROL, V14, P1721, DOI 10.1175/JHM-D-13-02.1
   Diffenbaugh NS, 2015, P NATL ACAD SCI USA, V112, P3931, DOI 10.1073/pnas.1422385112
   Dilling L, 2019, CLIM RISK MANAG, V23, P32, DOI 10.1016/j.crm.2018.11.001
   Dilling L, 2017, ENVIRON PLANN A, V49, P2628, DOI 10.1177/0308518X16688686
   Dilling L, 2015, WIRES CLIM CHANGE, V6, P413, DOI 10.1002/wcc.341
   Dobbin KB, 2021, UTIL POLICY, V73, DOI 10.1016/j.jup.2021.101306
   Dobbin KB, 2020, SOC NATUR RESOUR, V33, P1468, DOI 10.1080/08941920.2020.1772925
   Dobbin KB, 2021, POLICY STUD J, V49, P562, DOI 10.1111/psj.12375
   DWR, 2021, DROUGHT FUND
   DWR, 2010, CAL DROUGHT CONT PLA
   DWR, 2008, MAN UNC FUT CLIM CHA
   DWR, 2018, E PORT WAT SUPPL PRO
   DWR, 2021, STAT WAT PROJ
   DWR, 2011, 2010 URB WAT MAN PLA
   Ekstom JA, 2018, DROUGHT MANAGEMENT C
   Ekstrom JA., 2017, GAUGING CLIMATE PREP, DOI [10.1007/s10584-01601870-3, DOI 10.1007/S10584-01601870-3]
   Ekstrom JA, 2014, URBAN CLIM, V9, P54, DOI 10.1016/j.uclim.2014.06.002
   Engle NL, 2013, CLIMATIC CHANGE, V118, P291, DOI 10.1007/s10584-012-0657-4
   Engle NL, 2012, J AM WATER RESOUR AS, V48, P1139, DOI 10.1111/j.1752-1688.2012.00676.x
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   Francis Rose., 2010, WILLAMETTE L REV, V47, P495
   Garrick DE, 2018, EARTHS FUTURE, V6, P809, DOI 10.1002/2018EF000823
   Griffin D, 2014, GEOPHYS RES LETT, V41, P9017, DOI 10.1002/2014GL062433
   Herman-Mercer NM, 2016, ECOL SOC, V21, DOI 10.5751/ES-08463-210328
   Hornberger GM, 2015, WATER RESOUR RES, V51, P4635, DOI 10.1002/2015WR016943
   Imperial M.T., 1999, PUBLIC WORKS MANAGEM, V4, P100, DOI DOI 10.1177/1087724X9942003.20
   Jasechko S, 2020, EARTHS FUTURE, V8, DOI 10.1029/2019EF001339
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   London J, 2021, WATER ALTERNATIVES
   London Jonathan., 2011, Land of Risk, Land of Opportunity: Cumulative Environmental Vulnerabilities in California's San Joaquin Valley
   Luyet V, 2012, J ENVIRON MANAGE, V111, P213, DOI 10.1016/j.jenvman.2012.06.026
   Marsh B, 2010, URBAN GEOGR, V31, P691, DOI 10.2747/0272-3638.31.5.691
   Mastrandrea MD, 2010, CLIMATIC CHANGE, V100, P87, DOI 10.1007/s10584-010-9827-4
   McFarlane K, 2018, ENVIRON REV, V26, P378, DOI 10.1139/er-2018-0033
   McNeeley SM, 2016, WEATHER CLIM SOC, V8, DOI 10.1175/WCAS-D-15-0042.1
   McNeeley SM, 2014, REG ENVIRON CHANGE, V14, P1451, DOI 10.1007/s10113-014-0585-0
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Mendez-Barrientos LE, 2020, SOC NATUR RESOUR, V33, P1486, DOI 10.1080/08941920.2020.1756548
   Moser SC, 2019, ECOL SOC, V24, DOI 10.5751/ES-10980-240228
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Newsom G, 2021, PROCL STAT EM
   Næss LO, 2005, GLOBAL ENVIRON CHANG, V15, P125, DOI 10.1016/j.gloenvcha.2004.10.003
   Office of the Governor, 2021, Governor Newsom Signs Climate Action Bills, Outlines Historic $15 Billion Package to Tackle the Climate Crisis and Protect Vulnerable Communities
   Office of the Governor, 2021, GOV NEWS ANN 5 1 BIL
   Page R, 2020, CLIMATIC CHANGE, V161, P499, DOI 10.1007/s10584-020-02712-7
   Pauloo RA, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab6f10
   Rossi G, 2013, INT J WATER RESOUR D, V29, P272, DOI 10.1080/07900627.2012.713848
   Saldana J., 2016, The coding manual for qualitative researchers, V3rd
   Seager R, 2015, J CLIMATE, V28, P6997, DOI 10.1175/JCLI-D-14-00860.1
   Shi LD, 2016, NAT CLIM CHANGE, V6, P131, DOI 10.1038/NCLIMATE2841
   Swain DL, 2018, NAT CLIM CHANGE, V8, P427, DOI 10.1038/s41558-018-0140-y
   SWRCB, 2021, SAFER DRINK WAT
   SWRCB, 2014, EL ANN REP EAR DAT P
   U.S. Bureau of Reclamation, 2021, CENTR VALL PROJ
   U.S. Census Bureau, 2016, 2012 2016 ACS 5 YR S
   U.S. EPA, 2021, LEARN CAP DEV
   Victor DG, 2015, NATURE, V520, P27, DOI 10.1038/520027a
   Wilhite D., 2017, Drought and water crises: integrating science, management, and policy
   Williams AP, 2015, GEOPHYS RES LETT, V42, P6819, DOI 10.1002/2015GL064924
NR 80
TC 14
Z9 16
U1 3
U2 26
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD FEB
PY 2022
VL 170
IS 3-4
AR 26
DI 10.1007/s10584-021-03305-8
PG 25
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA YX6FD
UT WOS:000754195600001
OA hybrid
DA 2025-01-10
ER

PT J
AU Cobbinah, PB
   Finn, BM
AF Cobbinah, Patrick Brandful
   Finn, Brandon Marc
TI Planning and Climate Change in African Cities: Informal Urbanization and
   'Just' Urban Transformations
SO JOURNAL OF PLANNING LITERATURE
LA English
DT Article
DE urban planning; climate adaptation; informality; urbanization;
   environmental justice; urban sustainability
ID GLOBAL ENVIRONMENTAL-CHANGE; SOUTH-AFRICA; CHANGE ADAPTATION;
   MANAGEMENT; POLITICS; SETTLEMENTS; RESILIENCE; GHANA; OPPORTUNITIES;
   VULNERABILITY
AB The proliferation of informal settlements and growing risks of climate change across African cities pose core questions to urban planning theory and practice. Where do informal settlements fit into future climate adaptation plans? What constitutes a 'just' climate transformation for African urbanization? And how does a 'just' climate transformation address the concerns of Africans in informal settlements? We conduct a literature review to highlight the importance of local, community-based knowledge production and action in addressing African urbanization and climate change. We show how informality and climate change impact each other across diverse African cities and conduct a detailed case study based on Accra, Ghana. We argue that national and global approaches to planning for urbanization and climate change are required to strengthen local community-based knowledge production and action.
C1 [Cobbinah, Patrick Brandful] Univ Melbourne, Fac Architecture Bldg & Planning, Parkville, Vic 3010, Australia.
   [Finn, Brandon Marc] Harvard Univ, Grad Sch Design, Cambridge, MA 02138 USA.
C3 University of Melbourne; Harvard University
RP Cobbinah, PB (corresponding author), Univ Melbourne, Fac Architecture Bldg & Planning, Parkville, Vic 3010, Australia.
EM pcobbinah@unimelb.edu.au
RI Cobbinah, Patrick/ABH-9950-2020
OI Finn, Brandon Marc/0000-0001-7283-5478; Cobbinah, Patrick
   Brandful/0000-0003-2522-9293
CR Accra Metropolitan Assembly, 2019, ACCR RES STRAT
   Adger W.Neil., 2009, Governing Sustainability, P3, DOI [10.1017/CBO9780511807756.003, DOI 10.1017/CBO9780511807756.003]
   Amoako C, 2016, GEOFORUM, V77, P5, DOI 10.1016/j.geoforum.2016.10.003
   Angelo H, 2021, INT J URBAN REGIONAL, V45, P732, DOI 10.1111/1468-2427.12911
   [Anonymous], 2021, Population of Regions and Districts [Internet]
   Armitage D, 2011, GLOBAL ENVIRON CHANG, V21, P995, DOI 10.1016/j.gloenvcha.2011.04.006
   Bahadur A, 2014, ENVIRON URBAN, V26, P200, DOI 10.1177/0956247814522154
   Banks N, 2020, J DEV STUD, V56, P223, DOI 10.1080/00220388.2019.1577384
   Bassett TJ, 2013, GEOFORUM, V48, P42, DOI 10.1016/j.geoforum.2013.04.010
   Benjamin S, 2008, INT J URBAN REGIONAL, V32, P719, DOI 10.1111/j.1468-2427.2008.00809.x
   Berrang-Ford L, 2021, NAT CLIM CHANGE, V11, P989, DOI 10.1038/s41558-021-01170-y
   Berrisford S., 2011, URBAN FORUM, V22, P209, DOI [10.1007/s12132-011-9121-1, DOI 10.1007/S12132-011-9121-1]
   Brännlund I, 2011, GLOBAL ENVIRON CHANG, V21, P1095, DOI 10.1016/j.gloenvcha.2011.03.005
   Broto VC, 2015, CURR OPIN ENV SUST, V13, P11, DOI 10.1016/j.cosust.2014.12.005
   Broto VC, 2014, INT DEV PLANN REV, V36, P257, DOI 10.3828/idpr.2014.23
   Cabral P, 2017, INT J DISAST RISK RE, V23, P45, DOI 10.1016/j.ijdrr.2017.04.002
   Carleton T.A., 2020, VALUING GLOBAL MORTA, DOI 10.2139/ssrn.3224365
   Cobbinah P.B., 2019, The Geography of Climate Change Adaptation in Urban Africa
   Cobbinah PB, 2021, LAND USE POLICY, V100, DOI 10.1016/j.landusepol.2020.104948
   Cobbinah PB, 2015, CITIES, V47, P62, DOI 10.1016/j.cities.2015.03.013
   Diko S.K., 2019, The geography of climate change adaptation in Urban Africa, P499
   Ehwi RJ, 2020, HOUS POLICY DEBATE, V30, P950, DOI 10.1080/10511482.2020.1782451
   Elias P, 2015, CURR OPIN ENV SUST, V13, P74, DOI 10.1016/j.cosust.2015.02.008
   Eriksen S, 2011, CLIM DEV, V3, P7, DOI 10.3763/cdev.2010.0060
   Fedele G, 2019, ENVIRON SCI POLICY, V101, P116, DOI 10.1016/j.envsci.2019.07.001
   Fedele G, 2020, ECOL SOC, V25, DOI 10.5751/ES-11381-250125
   Feola G, 2015, AMBIO, V44, P376, DOI 10.1007/s13280-014-0582-z
   Finn B, 2015, AFR SPECTR, V50, P29, DOI 10.1177/000203971505000302
   Finn BM, 2021, ENVIRON PLAN C-POLIT, V39, P152, DOI 10.1177/2399654420941519
   Finn BM, 2023, URBAN STUD, V60, P405, DOI 10.1177/00420980221098946
   Frank E, 2011, GLOBAL ENVIRON CHANG, V21, P66, DOI 10.1016/j.gloenvcha.2010.11.001
   Gilbert A, 2007, INT J URBAN REGIONAL, V31, P697, DOI 10.1111/j.1468-2427.2007.00754.x
   Goh K, 2020, CAMB J REG ECON SOC, V13, P559, DOI 10.1093/cjres/rsaa010
   Grant R., 2021, OXFORD RES ENCY AFRI, DOI [10.1093/acrefore/9780190277734.013.1151, DOI 10.1093/ACREFORE/9780190277734.013.1151, 10.1093/acrefore/9780190264086.001.0001/acrefore-9780190264086-e-30, DOI 10.1093/ACREFORE/9780190264086.001.0001/ACREFORE-9780190264086-E-30]
   Haque AN, 2014, ENVIRON URBAN, V26, P112, DOI 10.1177/0956247813518681
   HART K, 1973, J MOD AFR STUD, V11, P61, DOI 10.1017/S0022278X00008089
   Henderson JV, 2017, J DEV ECON, V124, P60, DOI 10.1016/j.jdeveco.2016.09.001
   Hewston R, 2018, 84% of world's fastest growing cities face 'extreme' climate change risks
   Horn P., 2018, GLOBAL DEV I WORKING, V34
   Huchzermeyer M, 2004, HABITAT INT, V28, P333, DOI 10.1016/S0197-3975(03)00058-4
   Hunter NB, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab9d00
   Intergov Panel Clim Chg, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P1, DOI 10.1017/CBO9781139177245
   IPCC, 2001, IPCC 3 ASSESSMENT RE, P11, DOI DOI 10.1073/PNAS.1115521109
   Isunju JB, 2016, ENVIRON URBAN, V28, P475, DOI 10.1177/0956247816647342
   Jenkins MW, 2014, J WATER SANIT HYG DE, V4, P131, DOI 10.2166/washdev.2013.180
   Jonsson Julia., 2007, OVERWHELMING MINORIT
   Kareem B., 2011, African Journal of Environmental Science and Technology, V5, P136
   Kareem B, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab7951
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Korah ProsperIssahaku., 2019, The Geography of Climate Change Adaptation in Urban Africa, P451, DOI DOI 10.1007/978-3-030-04873-016
   Kumah P., 2012, DEMANDING RIGHTS SLU
   Kuruppu N, 2011, GLOBAL ENVIRON CHANG, V21, P657, DOI 10.1016/j.gloenvcha.2010.12.002
   Lawson ET, 2016, INT J CLIM CHANG STR, V8, P399, DOI 10.1108/IJCCSM-04-2015-0041
   Leck H., 2015, Current Opinion in Environmental Sustainability, V13, P61, DOI [10.1016/j.cosust.2015.02.004, DOI 10.1016/J.COSUST.2015.02.004]
   Levina E., 2006, ADAPTATION CLIMATE C
   Lwasa S, 2015, CURR OPIN ENV SUST, V13, P68, DOI 10.1016/j.cosust.2015.02.003
   MacPherson, 2012, INNOVATIONS AFFORDAB
   Matenga L., 2019, The geography of climate change adaptation in urban Africa, P155, DOI [10.1007/978-3-030-04873-0_6, DOI 10.1007/978-3-030-04873-0_6]
   Mazeka B., 2019, The Geography of Climate Change Adaptation in Urban Africa, P57, DOI DOI 10.1007/978-3-030-04873-03
   Mcfarlane C, 2012, PLAN THEORY PRACT, V13, P89, DOI 10.1080/14649357.2012.649951
   Mearns R, 2010, NEW FRONT SOC POLICY, P1
   Moges S.A., 2013, CLIMATE VULNERABILIT, V5, P335, DOI DOI 10.1111/CSP2.378
   Moyo EN, 2015, PROC IUTAM, V17, P69, DOI 10.1016/j.piutam.2015.06.011
   Nchito WS, 2007, ENVIRON URBAN, V19, P539, DOI 10.1177/0956247807082835
   Newsham AJ, 2011, GLOBAL ENVIRON CHANG, V21, P761, DOI 10.1016/j.gloenvcha.2010.12.003
   Nicholls RJ, 2004, GLOBAL ENVIRON CHANG, V14, P229, DOI 10.1016/j.gloenvcha.2004.04.005
   Nkhonjera GK, 2017, ENVIRON SCI POLICY, V71, P19, DOI 10.1016/j.envsci.2017.02.004
   Nunbogu AM, 2018, CITIES, V74, P32, DOI 10.1016/j.cities.2017.10.022
   O'Brien K, 2012, PROG HUM GEOG, V36, P667, DOI 10.1177/0309132511425767
   Obeng-Odoom F, 2011, J DEV SOC, V27, P355, DOI 10.1177/0169796X1102700406
   Ogola PFA, 2012, RENEW SUST ENERG REV, V16, P4222, DOI 10.1016/j.rser.2012.01.081
   Okem A.E., 2019, The geography of climate change adaptation in urban Africa, P275
   Okyere A.S., 2015, J SUSTAINABLE DEV AF, V17, P101
   Olsson P, 2014, ECOL SOC, V19, DOI 10.5751/ES-06799-190401
   Parry J.E, 2007, WEATHERING STORM OPT, P57
   Pelling M, 2005, GLOBAL ENVIRON CHANG, V15, P308, DOI 10.1016/j.gloenvcha.2005.02.001
   Perrings C, 2006, ENVIRON DEV ECON, V11, P417, DOI 10.1017/S1355770X06003020
   Ricci L, 2015, CURR OPIN ENV SUST, V13, P42, DOI 10.1016/j.cosust.2015.01.004
   Richmond A, 2018, URBAN SCI, V2, DOI 10.3390/urbansci2010022
   Riise J, 2015, CURR OPIN ENV SUST, V13, P58, DOI 10.1016/j.cosust.2015.02.002
   Roberts D, 2008, ENVIRON URBAN, V20, P521, DOI 10.1177/0956247808096126
   Roberts D, 2012, ENVIRON URBAN, V24, P167, DOI 10.1177/0956247811431412
   Roy A, 2005, J AM PLANN ASSOC, V71, P147, DOI 10.1080/01944360508976689
   Said V, 2011, CLIMATE CHANGE ADAPT
   Satterthwaite D, 2020, ONE EARTH, V2, P143, DOI 10.1016/j.oneear.2020.02.002
   Shi L, 2021, URBAN AFF REV, V57, P1442, DOI 10.1177/1078087419910827
   Simon D, 2015, CURR OPIN ENV SUST, V13, P109, DOI 10.1016/j.cosust.2015.03.003
   Simone A.M., 2004, CITY YET COME
   Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1
   Summary for Policymakers, 2001, CLIMATE CHANGE 2001, P2
   Swilling M, 2006, ENVIRON URBAN, V18, P315, DOI 10.1177/0956247806069606
   Thorn J, 2015, GLOBAL ENVIRON CHANG, V31, P121, DOI 10.1016/j.gloenvcha.2014.12.009
   Twumasi YA, 2002, INT GEOSCI REMOTE SE, P2874, DOI 10.1109/IGARSS.2002.1026807
   UN-Habitat, 2014, The State of African Cities 2014. Re-Imaging Sustainable Urban Transitions
   UNISDR, 2012, A handbook for local government leaders
   Viguié V, 2012, NAT CLIM CHANGE, V2, P334, DOI 10.1038/NCLIMATE1434
   Ville De Dakar and 100 Resilient Cities, 2016, DAK RES STRAT
   Wamsler C, 2014, ENVIRON URBAN, V26, P86, DOI 10.1177/0956247813516061
   Watson V, 2009, URBAN STUD, V46, P2259, DOI 10.1177/0042098009342598
   Williams G., 2004, Towards a repoliticization of participatory development: political capabilities and spaces of empowerment. in, P92
   Yiftachel Oren., 2009, City, V13, P246, DOI DOI 10.1080/13604810902982227
   Young G, 2010, CLIMATIC CHANGE, V98, P245, DOI 10.1007/s10584-009-9665-4
NR 102
TC 23
Z9 24
U1 9
U2 29
PU SAGE PUBLICATIONS INC
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 0885-4122
EI 1552-6593
J9 J PLAN LIT
JI J. Plan. Lit.
PD AUG
PY 2023
VL 38
IS 3
SI SI
BP 361
EP 379
DI 10.1177/08854122221128762
EA OCT 2022
PG 19
WC Regional & Urban Planning; Urban Studies
WE Social Science Citation Index (SSCI)
SC Public Administration; Urban Studies
GA R7VF2
UT WOS:000863457700001
DA 2025-01-10
ER

PT J
AU Morato, LC
AF Morato, Lucia Cerrada
TI Suburban climate adaptation governance: assumptions and imaginaries
   affecting peripheral municipalities
SO BUILDINGS & CITIES
LA English
DT Article
DE cities; climate adaptation; climate policy; local government;
   peri-urban; peripheral municipalities; suburban adaptation strategies;
   suburbs; urban climate action; Spain
ID CITIES; POLITICS
AB The world is rapidly suburbanising and, as recognised in numerous academic and policy documents, suburbs are not only environmentally unsustainable but also particularly vulnerable to climate change. This same literature and policy discourse suggests the solution to making suburbs more sustainable and adaptable is densification and investing in infrastructural green growth. Meanwhile, alternative approaches in critical suburban literature suggest that densification might create negative externalities, and instead propose the transformation of infrastructures' management and ownership to support an innovative and autochthonous path for suburbs' climate adaptation. Yet limited empirical knowledge exists on what adaptation strategies are being implemented across peripheral municipalities where suburbs are more prevalent. A comparative analysis is presented of three peripheral municipalities in Santiago de Compostela, Spain, on their adaptation strategies for water and sanitation. This shows how mainstream assumptions about suburbs and imaginaries of adaptation influence their strategies, as well as how the specific characteristics in the peripheral municipalities allow or hamper more innovative approaches. Three factors emerge as more important in allowing innovation and autochthonous solutions: the level of suburbanisation, the management model for municipal infrastructures, and their political context (including proximity of local government with higher-tier bodies and government composition).
C1 [Morato, Lucia Cerrada] Kings Coll London, Dept Geog, London WC2R 2LS, England.
C3 University of London; King's College London
RP Morato, LC (corresponding author), Kings Coll London, Dept Geog, London WC2R 2LS, England.
EM luciacmorato@gmail.com
OI Cerrada Morato, Lucia/0000-0002-5018-4042
FU Obra Social La Caixa; ESRC-LISS postdoctoral fellowship [ES/Y008456/1]
FX The research this paper draws upon was partially funded by a doctoral
   fellowship from Obra Social La Caixa. This work was also supported by
   the ESRC-LISS postdoctoral fellowship (grant number ES/Y008456/1) .
CR Addie JPD, 2016, T I BRIT GEOGR, V41, P273, DOI 10.1111/tran.12121
   Alexander S., 2019, Degrowth in the suburbs. A radical urban imaginary, DOI [10.1007/978-981-13-2131-3, DOI 10.1007/978-981-13-2131-3]
   Altobelli M, 2020, WATER-SUI, V12, DOI 10.3390/w12123432
   [Anonymous], 2006, URBAN SPRAWL EUROPE
   [Anonymous], 2020, International Migration 2020 Highlights, DOI 10.18356/527e5125-en
   [Anonymous], 2014, CLIMATE CHANGE 2014, P1
   [Anonymous], 1999, Towards an Urban Renaissance
   Artmann M, 2019, ECOL INDIC, V96, P3, DOI 10.1016/j.ecolind.2018.10.059
   Beal V., 2011, Le developpement durable changera-t-il la ville ? Le regard des sciences sociales
   Brunet R., 1989, VILLES EUROPEENNES R
   Bulkeley H, 2010, ANNU REV ENV RESOUR, V35, P229, DOI 10.1146/annurev-environ-072809-101747
   Caldeira TPR, 2017, ENVIRON PLANN D, V35, P3, DOI 10.1177/0263775816658479
   Cerrada Morato L., 2024, Urban informality and the built environment
   Cerrada Morato L., 2024, Journal of Urban Technology
   Cerrada Morato L., 2022, Doctoral dissertation
   Charmes E, 2015, INT J URBAN REGIONAL, V39, P581, DOI 10.1111/1468-2427.12194
   Coutard O, 2011, ROUTL STUD HUM GEOGR, V35, P107
   Coutard Olivier., 2015, Beyond the Networked City, V1st, DOI DOI 10.4324/9781315757612
   De Gregorio Hurtado S., 2014, BC3 Working Paper Series, V1402
   Dunham-Jones E, 2005, PLACES-FORUM ENVIRON, V17, P8
   Dunham-Jones E., 2011, Retrofitting Suburbia, Updated Edition: Urban Design Solutions for Redesigning Suburbs
   Ferras Sexto C., 1993, Papeles de Geografia, V19, P115
   Filion P., 2019, Critical perspectives on suburban infrastructures, DOI [10.3138/9781487531225, DOI 10.3138/9781487531225]
   Filion P, 2017, URBAN POLICY RES, V35, P7, DOI 10.1080/08111146.2016.1187122
   Gabriel M, 2013, HOUS THEORY SOC, V30, P219, DOI 10.1080/14036096.2013.775183
   Graham S, 2001, SPLINTERING URBANISM, DOI DOI 10.4324/9780203452202
   Halleux Jean-Marie, 2008, REV ECONOMIE RE GION, V1, P21
   Hamel P., 2015, Suburban governance: A global view, DOI [10.3138/9781442663565, DOI 10.3138/9781442663565]
   International Energy Agency, 2008, World energy outlook 2008, DOI [DOI 10.1787/WEO-2008-EN, 10.1787/weo-2008-en]
   IPCC, 2022, Climate Change 2022: Impacts, Adaptation, and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change
   Jaglin S, 2008, GEOFORUM, V39, P1897, DOI 10.1016/j.geoforum.2008.04.010
   Keil R., 2017, Suburban Planet: Making the Urban World from the Outside In
   Keil R., 2013, Suburban Constellations: Governance, Land and Infrastructure in the 21st Century
   Lemanski C, 2023, LANDSCAPE RES, V48, P174, DOI 10.1080/01426397.2021.1972952
   Lioubimtseva E, 2020, URBAN CLIM, V31, DOI 10.1016/j.uclim.2019.100577
   Logan J. R., 2007, Urban fortunes: The political economy of placewith a new preface, DOI [10.1525/9780520934573, DOI 10.1525/9780520934573]
   Magnan AK, 2016, WIRES CLIM CHANGE, V7, P646, DOI 10.1002/wcc.409
   Monstadt J., 2015, NETWORKED CITY INFRA, P26
   Olazabal M., 2023, Call for papers.
   Olazabal M, 2021, ONE EARTH, V4, P828, DOI 10.1016/j.oneear.2021.05.006
   Phelps NA, 2006, POST-SUBURBAN EUROPE: PLANNING AND POLITICS AT THE MARGINS OF EUROPE'S CAPITAL CITIES, P1, DOI 10.1057/9780230625389
   Phelps NA, 2023, URBAN STUD, V60, P1158, DOI 10.1177/00420980221135418
   Phelps NA, 2019, ROUTL COMPANIONS, P39
   Reckien D, 2018, J CLEAN PROD, V191, P207, DOI 10.1016/j.jclepro.2018.03.220
   Roy A, 2005, J AM PLANN ASSOC, V71, P147, DOI 10.1080/01944360508976689
   Sieverts T., 2012, Podium Discussion
   Talen E, 2011, ENVIRON PLANN B, V38, P952, DOI 10.1068/b37048
   The Economist, 2012, The Economist.June
   ToMAs M., 2023, Metropolis sin gobierno. La anomalia espanola en Europa
   Torralba A, 2022, IEEE INTEL TRANSP SY, V14, P115, DOI 10.1109/MITS.2021.3049375
   Viganò P, 2009, WATER AND URBAN DEVELOPMENT PARADIGMS, P207
   Vigano P., 2001, Territories of a new modernity
   Wandl DIA, 2014, LANDSCAPE URBAN PLAN, V130, P50, DOI 10.1016/j.landurbplan.2014.06.010
   Williams K, 2013, BUILD RES INF, V41, P517, DOI 10.1080/09613218.2013.808893
   Xue J, 2022, LOCAL ENVIRON, V27, P404, DOI 10.1080/13549839.2020.1867840
NR 55
TC 3
Z9 3
U1 2
U2 3
PU UBIQUITY PRESS LTD
PI LONDON
PA Unit 3N, 6 Osborn Street, LONDON, E1 6TD, ENGLAND
SN 2632-6655
J9 BUILD CITIES
JI Build. Cities
PY 2024
VL 5
IS 1
BP 64
EP 82
DI 10.5334/bc.381
PG 19
WC Construction & Building Technology
WE Emerging Sources Citation Index (ESCI)
SC Construction & Building Technology
GA OO0F9
UT WOS:001208091000002
OA gold
DA 2025-01-10
ER

PT J
AU Nyahunda, L
AF Nyahunda, Louis
TI Integration of indigenous knowledge systems (IKS) into climate change
   mitigation and adaptation endeavours: milestones and gaps in South
   Africa and Zimbabwe's climate policy frameworks
SO CLIMATIC CHANGE
LA English
DT Article
DE Climate change; Strategies; Policies; Mitigation; Adaptation; IKS;
   Zimbabwe; South Africa
ID VARIABILITY; GOVERNANCE; DISTRICT
AB This article was poised to unravel the merits of integrating IKS and the demerits of its exclusion in climate change programmes and policies. The harrowing impacts of climate change in Sub-Saharan Africa make adaptation and mitigation unescapable discourses. As such, climate change policies demonstrate governments' commitment to fostering adaptation and mitigating climate change impacts evident in every sector of society. The effectiveness of climate policies is measured by their responsiveness to the different needs, aspirations and circumstances of populations plagued by climate change. In the absence of technoscience-based adaptation and mitigation mechanisms, African communities still rely on the repository of indigenous knowledge systems as a source of information, decision-making, and prediction tools for predicting weather changes. For this reason, in formulating climate change mitigation and adaptation endeavours at policy level, it is critical to identify specific strategies where IKS has been used as a warrant towards its usage. This study was qualitative and operated within the traditional descriptive, analytical and interpretive approaches. It relied on a desktop review of journal articles on climate change and IKS, and climate change policies of South Africa and Zimbabwe. These were purposively sampled based on their relevance to the aim of the study. The Discourse Content Analysis was utilised to analyse data from which the findings were derived. The article established that despite the wide recognition of the role played by IKS in climate change adaptation, mitigation and disaster risk reduction, IKS has not featured predominantly South Africa's climate change policies as compared to Zimbabwe's climate policies. Notably, disregarding IKS in climate change policies makes them bereft of effectiveness in vulnerability reduction, fostering adaptation and resilience building for African communities that rely on IKS, among other capitals essential in fostering mitigation and adaptation in the face of climate change.
C1 [Nyahunda, Louis] Univ Free State, Fac Humanities, Dept Social Work, POB 339, ZA-9300 Bloemfontein, South Africa.
C3 University of the Free State
RP Nyahunda, L (corresponding author), Univ Free State, Fac Humanities, Dept Social Work, POB 339, ZA-9300 Bloemfontein, South Africa.
EM nyahundalouis@gmail.com
FU University of the Free State
FX The author received no funding to write up this manuscript.Open access
   funding provided by University of the Free State.
CR Adger WN, 2011, WIRES CLIM CHANGE, V2, P757, DOI 10.1002/wcc.133
   Afokpe PMK, 2022, CAH AGRIC, V31, DOI 10.1051/cagri/2021037
   Aguilar L., 2015, Roots for the future: The landscape and way forward on gender and climate change
   Anyumba G, 2021, PLAN HERIT SUSTAINAB, P72
   Averchenkova A, 2021, CLIM POLICY, V21, P251, DOI 10.1080/14693062.2020.1819190
   Basdew M., 2017, Change and Adaptation in Socio-Ecological Systems, V3, DOI DOI 10.1515/CASS-2017-0006
   Chanza N, 2014, E SO AFR CBA RES LEA, P1
   Chanza N, 2015, Harnessing cultural capital for sustainability: a pan African perspective, P85
   Chanza N, 2021, ENVIRON SCI POLICY, V126, P142, DOI 10.1016/j.envsci.2021.10.005
   Chanza N, 2016, S AFR J SCI, V112, P35
   Chigumira G., 2019, Enhancing natural resources management in Zimbabwe (No. 2374-2020-962
   Chipangura N, 2019, Ethnogr, V9, P12
   Chipangura P, 2019, JAMBA-J DISASTER RIS, V11, DOI 10.4102/jamba.v11i1.604
   Chirisa I, 2018, CLIM CHANG MANAG, P1, DOI 10.1007/978-3-319-69838-0_1
   Dube E, 2018, JAMBA-J DISASTER RIS, V10, DOI 10.4102/jamba.v10i1.493
   Ebhuoma EE, 2022, Indigenous knowledge and climate governance: a Sub-Saharan African perspective, P193
   Engelbrecht FA, 2019, QUATERNARY SCI REV, V226, DOI 10.1016/j.quascirev.2019.105879
   Hannaford J, 2015, PROG PHYS GEOG, V39, P29, DOI 10.1177/0309133314536755
   Hannaford MJ, 2014, ENVIRON HIST-UK, V20, P411, DOI 10.3197/096734014X14031694156484
   Hilhorst D, 2015, DISASTER PREV MANAG, V24, P506, DOI 10.1108/DPM-02-2015-0027
   Hosen N, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12020676
   Iloka Nnamdi G, 2016, Jamba, V8, P272, DOI 10.4102/jamba.v8i1.272
   Jones RH, 2012, The Routledge handbook of language and creativity, P61
   Kinyili BM., 2023, Am J Environ Clim, V2, P66, DOI [10.54536/ajec.v2i3.1976, DOI 10.54536/AJEC.V2I3.1976]
   Lefale PF, 2010, CLIMATIC CHANGE, V100, P317, DOI 10.1007/s10584-009-9722-z
   Lunga W, 2015, Doctoral dissertation
   Mafongoya P.L., 2017, Indigenous knowledge systems and climate change management in Africa, P17
   Makondo CC, 2018, ENVIRON SCI POLICY, V88, P83, DOI 10.1016/j.envsci.2018.06.014
   Masipa TS, 2017, JAMBA-J DISASTER RIS, V9, DOI 10.4102/jamba.v9i1.411
   Matlakala FK., 2022, Afr Renaiss, V19, P147
   Matunhu J., 2013, J Agricultural Sci, V4, P21
   Mavhura E, 2021, J FLOOD RISK MANAG, V14, DOI 10.1111/jfr3.12687
   Mavhura E, 2019, FOREST POLICY ECON, V105, P83, DOI 10.1016/j.forpol.2019.05.019
   Mbah M, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13094811
   Mpandeli S., 2014, Journal of Agricultural Science (Toronto), V6, P135
   Mpandeli S., 2017, Indigenous Knowl Syst Clim Change Manage Afr, V3, P255
   Msuya J, 2007, INT REV INF ETHICS, V7, P346
   Mugambiwa SS, 2021, J WATER CLIM CHANGE, V12, P2045, DOI 10.2166/wcc.2021.183
   Mugambiwa SS, 2017, JAMBA-J DISASTER RIS, V9
   Mugambiwa SS, 2019, INT J CLIM CHANG STR, V11, P730, DOI 10.1108/IJCCSM-11-2018-0074
   Mugambiwa SS., 2021, Afr J Dev Stud, V11, P159
   Mutambisi T, 2021, African handbook of climate change adaptation, P1
   Mutanga SS, 2021, foundational and fundamental topics, V2, P179
   Nakapipi V., 2011, Indilinga. African Journal of Indigenous Knowledge Systems, V10, P68
   Ndlovu C., 2014, Int J Sci Res Publications, V4, P1
   Nhemachena C, 2010, CLIM CHANG ECON, V1, DOI 10.1142/S2010007810000066
   Nyahunda L., 2020, African handbook of climate change adaptation, P1
   Nyahunda l., 2019, E-BANGI J, V16, P1
   Nyahunda L, 2022, MANAG ENVIRON QUAL, V33, P1061, DOI 10.1108/MEQ-09-2021-0207
   Nyahunda L, 2021, BRIT J SOC WORK, V51, P2536, DOI 10.1093/bjsw/bcaa118
   Nyahunda L, 2021, SCIENTIFICA, V2021, DOI 10.1155/2021/8416410
   Nyahunda L, 2021, J HUM RIGHTS SOC WOR, V6, P120, DOI 10.1007/s41134-020-00148-8
   Nyahunda Louis, 2019, Jàmbá, V11, P1
   Nyong A., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P787, DOI 10.1007/s11027-007-9099-0
   Pelling M., 2016, J Extreme Events, V3, P1, DOI [DOI 10.1142/S2345737616500123, 10.1142/S2345737616500123]
   Phiri AT, 2020, Cogent Soc Sci, V8
   Rankoana SA, 2017, Toward a sustainable agriculture: farming practices and water use, V2, P63
   Rankoana Sejabaledi A., 2021, Journal of Ethnic Foods, V8, P1
   Rankoana SA, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080672
   Reniko G, 2018, INT J AFR RENAISS ST, V13, P96, DOI 10.1080/18186874.2018.1475869
   Tirivangasi HM, 2018, JAMBA-J DISASTER RIS, V10
   Tirivangasi HM, 2015, Master's dissertation
   Tirivangasi HM., 2021, Exploring Humanitarian response strategies in the aftermath of disasters induced by climate change in Zimbabwe, P1
   UNFCCC, 2015, decision 2/CP19
   Zhakata W., 2017, Int J Green Growth Dev, V3, P101
   Ziervogel G, 2014, WIRES CLIM CHANGE, V5, P605, DOI 10.1002/wcc.295
NR 66
TC 0
Z9 0
U1 0
U2 0
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD NOV
PY 2024
VL 177
IS 11
AR 162
DI 10.1007/s10584-024-03822-2
PG 16
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA L4V7D
UT WOS:001350715400001
OA hybrid
DA 2025-01-10
ER

PT J
AU Machava-António, VCE
   Mabilana, H
   Macamo, C
   Fernando, A
   Santos, R
   Bandeira, S
   Paula, J
AF Machava-Antonio, V. C. E.
   Mabilana, H.
   Macamo, C.
   Fernando, A.
   Santos, R.
   Bandeira, S.
   Paula, J.
TI Massive mangrove dieback due to extreme weather impact - case of Maputo
   River Estuary, Mozambique
SO REGIONAL STUDIES IN MARINE SCIENCE
LA English
DT Article
DE Mangrove dieback; Ecosystem services; Change detection; Forest structure
ID CLIMATE-CHANGE; FORESTS; ECOSYSTEMS; RESPONSES; AFRICA; WORLD; BAY
AB This study documents one of the first massive mangrove dieback in Africa caused by hailstorm, occurring in Maputo Bay, Mozambique. Field observation and satellite imagery prompted this observation of extensive mangrove dieback out of Maputo River Estuary, a regionally significant large mangrove stand, the southernmost large mangrove area in the Western Indian Ocean. This study aimed to determine the causes and extent of mangrove dieback in Maputo River Estuary that occurred in September 2019, identify, and quantify the mangrove loss, describe the structure of the mangrove forest, describe the soil composition in healthy and impacted areas. To address this Sentinel 2 imagery were assessed and calculated the Normalized Difference Vegetation Index (NDVI) to estimate the mangrove dieback area and cover change. This was supported by an extensive field survey, impacted and pristine or natural areas were assessed by sampling 233 plots of 10x10 m, established along transects separated by 50 m and set perpendicularly to the coastal line. Structural parameters assessed included species composition, height, diameter at the breast height (DBH), number of live and dead trees, density of stumps and seedling per species. The mangrove cover reduced nearly half (48 %) of mangrove area in just a year, from 1377.4 Ha in 2019 to barely 716.2 Ha in 2020, representing a loss of 661.2 Ha, and 38.7 % of trees were completely dead. Five mangrove species were identified, Avicenna marina being largely dominant. The regeneration ratio was 142:10:1, way beyond the minimum ecological ratio of standard mangrove forest, 6:3:1. According to local communities and meteorological data, it seems plausible that this event was caused by a hailstorm. These results contribute to understanding climate-related impacts on mangrove forests and its response which is crucial for adopting adequate management measures, recovery and climate change adaptation actions and monitoring of mangrove forests in Mozambique.
C1 [Machava-Antonio, V. C. E.; Mabilana, H.; Macamo, C.; Fernando, A.; Santos, R.; Bandeira, S.] Eduardo Mondlane Univ, Dept Biol Sci, POB 257, Maputo 1100, Mozambique.
   [Machava-Antonio, V. C. E.] United States Forest Serv, Int Programs, Maputo, Mozambique.
   [Machava-Antonio, V. C. E.; Paula, J.] Univ Lisbon, Fac Sci, Mare Marine & Environm Res Ctr, P-1749016 Lisbon, Portugal.
   [Santos, R.] Univ Algarve, Ctr Marine Sci Algarve CCMAR, Gambelas Campus, P-8005139 Faro, Portugal.
C3 Eduardo Mondlane University; Universidade de Lisboa; Universidade do
   Algarve
RP Machava-António, VCE (corresponding author), Eduardo Mondlane Univ, Dept Biol Sci, POB 257, Maputo 1100, Mozambique.; Machava-António, VCE (corresponding author), United States Forest Serv, Int Programs, Maputo, Mozambique.
EM vilma.machava@gmail.com
OI Mabilana, Hugo/0000-0003-0240-4773
FU Western Indian Ocean Marine Science Association (WIOMSA), under the MARG
   I [MARGI_2020_CO_42]
FX Funding were provided by the Western Indian Ocean Marine Science
   Association (WIOMSA), under the MARG I grant number MARGI_2020_CO_42.
CR Alongi DM, 2008, ESTUAR COAST SHELF S, V76, P1, DOI 10.1016/j.ecss.2007.08.024
   Alongi DM, 2014, ANNU REV MAR SCI, V6, P195, DOI 10.1146/annurev-marine-010213-135020
   [Anonymous], 2005, Perfil do Distrito de Matutuine
   [Anonymous], 2007, The world's mangroves 1980-2005
   Asbridge EF, 2019, ESTUAR COAST SHELF S, V228, DOI 10.1016/j.ecss.2019.106353
   Asbridge E, 2018, ECOL EVOL, V8, P10416, DOI 10.1002/ece3.4485
   Asbridge E, 2016, IEEE J-STARS, V9, P5612, DOI 10.1109/JSTARS.2016.2616449
   Ball MC, 1988, TREES-STRUCT FUNCT, V2, P129, DOI 10.1007/BF00196018
   Bandeira S, 2009, AQUAT CONSERV, V19, pS46, DOI 10.1002/aqc.1044
   Bosire J.O., 2016, Mangroves of the Western Indian Ocean: Status and Management
   Bunting P, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15082050
   Bunting P, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14153657
   Cabral P, 2017, INT J DISAST RISK RE, V23, P45, DOI 10.1016/j.ijdrr.2017.04.002
   Canhanga S, 2005, J MARINE SYST, V58, P83, DOI 10.1016/j.jmarsys.2005.08.001
   Charrua AB, 2020, OCEAN COAST MANAGE, V189, DOI 10.1016/j.ocecoaman.2020.105145
   Charrua AB, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13020201
   CINTRON G, 1978, BIOTROPICA, V10, P110, DOI 10.2307/2388013
   CLARKE PJ, 1992, AUST J ECOL, V17, P161, DOI 10.1111/j.1442-9993.1992.tb00794.x
   Clevers JGPW, 2013, INT J APPL EARTH OBS, V23, P344, DOI 10.1016/j.jag.2012.10.008
   Cohen R, 2013, FOREST ECOL MANAG, V310, P968, DOI 10.1016/j.foreco.2013.09.047
   Doney SC, 2012, ANNU REV MAR SCI, V4, P11, DOI 10.1146/annurev-marine-041911-111611
   Duke NC, 2007, SCIENCE, V317, P41, DOI 10.1126/science.317.5834.41b
   Duke NC, 2017, MAR FRESHWATER RES, V68, P1816, DOI 10.1071/MF16322
   Feher LC, 2017, ECOSPHERE, V8, DOI 10.1002/ecs2.1956
   Macamo CDF, 2018, WETLANDS, V38, P509, DOI 10.1007/s13157-018-0996-7
   Ferreira M.A., 2014, MAPUTO BAY ECOSYSTEM, P21
   Fickert T, 2020, FORESTS, V11, DOI 10.3390/f11101068
   Gabler CA, 2017, NAT CLIM CHANGE, V7, P142, DOI [10.1038/nclimate3203, 10.1038/NCLIMATE3203]
   Gilman EL, 2008, AQUAT BOT, V89, P237, DOI 10.1016/j.aquabot.2007.12.009
   Giri C, 2011, GLOBAL ECOL BIOGEOGR, V20, P154, DOI 10.1111/j.1466-8238.2010.00584.x
   Hagger V, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-33962-x
   HOLBEN BN, 1986, INT J REMOTE SENS, V7, P1417, DOI 10.1080/01431168608948945
   Houston W. A., 1999, Mangroves and Salt Marshes, V3, P29, DOI 10.1023/A:1009946809787
   Imbert D, 2018, ECOSPHERE, V9, DOI 10.1002/ecs2.2231
   Johnson C.A, 2001, Climate Change 2001: The Scientific Basis. Contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change, P881
   Kathiresan K, 2001, ADV MAR BIOL, V40, P81, DOI 10.1016/S0065-2881(01)40003-4
   Kauffman JB, 2012, Protocols for the Measurement, Monitoring and Reporting of Structure, Biomass and Carbon Stocks in Mangrove Forests (No. 86), P40, DOI 10.17528/cifor/003749
   Kennedy JP, 2020, MOL ECOL, V29, P2583, DOI 10.1111/mec.15513
   Kuenzer C, 2011, REMOTE SENS-BASEL, V3, P878, DOI 10.3390/rs3050878
   Kweku D. W., 2018, J. Sci. Res. Rep, V17, P1, DOI [10.9734/JSRR/2017/39630, DOI 10.9734/JSRR/2017/39630]
   Lagomasino D, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-24253-y
   Long J, 2016, MAR POLLUT BULL, V109, P734, DOI 10.1016/j.marpolbul.2016.06.080
   Lovelock CE, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-01927-6
   Macamo C. S., 2016, MANGROVES W INDIAN O, P51
   Macamo Celia C. F., 2015, Western Indian Ocean Journal of Marine Science, V14, P11
   MacKay F, 2010, ESTUAR COAST SHELF S, V86, P553, DOI 10.1016/j.ecss.2009.11.011
   McCarthy MJ, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12111740
   MICOA, 2005, Avaliaç ão da Vulnerabilidade as Mudanç as Climáticas e Estratégias de Adaptaç ão
   Nicolau Denise K., 2017, Western Indian Ocean Journal of Marine Science, V16, P47
   Osland MJ, 2017, ECOL MONOGR, V87, P341, DOI 10.1002/ecm.1248
   Pahlevan N, 2017, REMOTE SENS ENVIRON, V201, P47, DOI 10.1016/j.rse.2017.08.033
   Paula J., 2014, MAPUTO BAY ECOSYSTEM, P109
   Pettorelli N, 2013, NORMALIZED DIFFERENCE VEGETATION INDEX, P1, DOI 10.1093/acprof:osobl/9780199693160.001.0001
   PMA (Prefeitura Municipal de Aracruz), 2013, Lei n◦ 3.739  Altera a categoria da Unidade de Conservaca~o Reserva Ecologica dos Manguezais Piraque^-Acu e Piraque^-Mirim para Reserva de Desenvolvimento Sustentavel Municipal Piraque^-Acu e Piraque^-Mirim no municipio de Aracruz, Estado do Espirito Santo, e das outras provide^ncias
   Radabaugh KR, 2020, ESTUAR COAST, V43, P1104, DOI 10.1007/s12237-019-00564-8
   Raupach TH, 2021, NAT REV EARTH ENV, V2, P213, DOI 10.1038/s43017-020-00133-9
   Rivera-Monroy VH, 2019, FOREST ECOL MANAG, V440, P79, DOI 10.1016/j.foreco.2019.02.036
   Rossi RE, 2020, ESTUAR COAST SHELF S, V237, DOI 10.1016/j.ecss.2020.106660
   ROTH LC, 1992, BIOTROPICA, V24, P375, DOI 10.2307/2388607
   Rouse J.W., 1974, Monitoring vegetation systems in the great plains with ERTS
   Saintilan N, 2022, SCI ADV, V8, DOI 10.1126/sciadv.abo6602
   Sentinel E.S.A, 2014, Missions-Sentinel Online
   Servino RN, 2018, SCI TOTAL ENVIRON, V628-629, P233, DOI 10.1016/j.scitotenv.2018.02.068
   Silva A., 2014, The Maputo Bay Ecosystem, P11
   Taylor M., 2003, MANGROVES E AFRICA
   Valiela I., 2001, BioScience, V51, P807, DOI 10.1641/0006-3568(2001)051[0807:MFOOTW]2.0.CO;2
NR 66
TC 0
Z9 0
U1 4
U2 4
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2352-4855
J9 REG STUD MAR SCI
JI Reg. Stud. Mar. Sci.
PD DEC 15
PY 2024
VL 78
AR 103770
DI 10.1016/j.rsma.2024.103770
EA AUG 2024
PG 12
WC Ecology; Marine & Freshwater Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Marine & Freshwater Biology
GA F1D4U
UT WOS:001307290300001
DA 2025-01-10
ER

PT J
AU Martins, TN
   Leita, TE
   Oliveira, MM
   Panagiotou, CF
   Stefan, C
   Chkirbene, A
   Portela, MM
AF Martins, Tiago N.
   Leita, Teresa E.
   Oliveira, Manuel M.
   Panagiotou, Constantinos F.
   Stefan, Catalin
   Chkirbene, Anis
   Portela, Maria Manuela
TI Proposal for a managed aquifer recharge feasibility index for southern
   Portugal using multi-criteria decision analysis
SO GROUNDWATER FOR SUSTAINABLE DEVELOPMENT
LA English
DT Article
DE GIS-MCDA; Managed aquifer recharge; Feasibility; Analytical hierarchical
   process; AGREEMAR project
AB Water scarcity in the Mediterranean region requires the adoption of new and optimized water resources management tools that allow a progressive climate change adaptation, being one of the main drivers for the employment of alternative water storage measures such as Managed Aquifer Recharge (MAR). To promote the implementation of these measures, this study evaluates the application of a MAR feasibility index mapping to southern Portugal, employing Multi-Criteria Decision Analysis (MCDA). A participatory approach - developed within the AGREEMAR project - aims for the characterization of the intrinsic site suitability, water availability and demand, where the stakeholder inputs are embedded in the weighting computation process. The results obtained demonstrate prevalent moderate MAR feasibility across the entire region (78% of the area) with an increased percentage of the area corresponding to high MAR feasibility (22%) strongly related to highly suitable geological features. A comparative analysis with the Analytical Hierarchical Process (AHP) showed minor high MAR feasibility areas (7%), and feasibility class transitions between the directly above or below classes. A sensitivity analysis, conducted based on a one-at-a-time (OAT) variation of the criteria weights, assessed the impact of the weighting methods on feasibility class changes. For the AGREEMAR method, changes in the weight of 10 of the 28 considered criteria resulted in negligible changes when compared to the original feasibility map, while for AHP 3 out of 28 produced minor changes. The remaining criteria showed important modifications in the feasibility maps, which underlined AGREEMAR method weights provided higher stability in the results. The study provides information about a MAR site selection process procedures, allowing replication. The dissemination of the results is expected to raise awareness of MAR among stakeholders and support scientificallybased water resources management decision-making.
C1 [Martins, Tiago N.; Leita, Teresa E.; Oliveira, Manuel M.] Natl Lab Civil Engn LNEC, Lisbon, Portugal.
   [Panagiotou, Constantinos F.] ERATOSTHENES Ctr Excellence, Dept Resilient Soc, Limassol, Cyprus.
   [Stefan, Catalin] Tech Univ Dresden, Inst Groundwater Management, Res Grp INOWAS, Dresden, Germany.
   [Chkirbene, Anis] Univ Carthage, Inst Natl Agron Tunisie, Tunis, Tunisia.
   [Portela, Maria Manuela] Lisbon Univ, Inst Super Tecn, Lisbon, Portugal.
C3 National Civil Engineering Laboratory; Technische Universitat Dresden;
   Universite de Carthage; Universidade de Lisboa
RP Martins, TN (corresponding author), Natl Lab Civil Engn LNEC, Lisbon, Portugal.
EM tmartins@lnec.pt; tleitao@lnec.pt; moliveira@lnec.pt;
   constantinos.panagiotou@eratosthenes.org; catalin.stefan@tu-dresden.de;
   anis.chkirbene@inat.ucar.tn; maria.manuela.portela@tecnico.ulisboa.pt
RI Stefan, Catalin/P-7769-2016; Portela, Maria/P-6312-2017
OI Stefan, Catalin/0000-0001-8250-2749; Oliveira,
   Manuel/0000-0003-3057-7989
FU Fundacao para a Ciencia e Tecnologia (FCT-PT) , Portugal
   [PD/BD/135590/2018]; AGREEMAR project; Horizon 2020 by the EU; National
   Funding Agencies (FCT-PT) [PRIMA/0004/2021]; BMBF-DE (Bundesministerium
   fur Bildung und Forschung-Deutchland) [02WPM1649A, 0321-0024]; MESRS-TN
   (Ministere de l'Enseignement Superieur et de la Recherche
   Scientifique-Tunisia) [PRIMA/TN/21/07]
FX The authors thank the Portuguese Environment Agency - River Basin
   District Administration of Alentejo for providing necessary data for the
   criteria characterization and contributing to the validation of the
   feasibility map. Tiago N. Martins thanks the Fundacao para a Ciencia e
   Tecnologia (FCT-PT) , Portugal, for the Ph.D. grant PD/BD/135590/2018.
   The AGREEMAR project is funded under the Partnership for Research and
   Innovation in the Mediterranean Area (PRIMA) , supported under Horizon
   2020 by the EU's Framework for Research and Innovation, and by the
   National Funding Agencies (FCT-PT, grant no. PRIMA/0004/2021, BMBF-DE
   (Bundesministerium fur Bildung und Forschung-Deutchland) , grant no.
   02WPM1649A, RIF-CY, grant no. 0321-0024, MESRS-TN (Ministere de
   l'Enseignement Superieur et de la Recherche Scientifique-Tunisia) ,
   grant no. PRIMA/TN/21/07) -https://doi.org/10.54499/PRIMA/0004/2021.
CR AGREEMAR, 2023, Project website and deliverable database
   Alam S, 2021, SCI TOTAL ENVIRON, V768, DOI 10.1016/j.scitotenv.2021.144992
   ALLER L, 1987, J GEOL SOC INDIA, V29, P23
   Almeida C., 2000, Portuguese: Sistemas Aquiferos de Portugal Continental, VI, DOI [10.13140/RG.2.1.1012.6160, DOI 10.13140/RG.2.1.1012.6160]
   Aloui Dorsaf, 2022, Arabian Journal of Geosciences, V15, DOI 10.1007/s12517-022-09893-8
   [Anonymous], 2022, The United Nations World Water Development Report 2022: Groundwater: Making the Invisible Visible
   APA, 2023, River Basin Management Plans, third cycle reports
   Valverde JPB, 2016, WATER-SUI, V8, DOI 10.3390/w8090391
   Bozóki S, 2008, J GLOBAL OPTIM, V42, P157, DOI 10.1007/s10898-007-9236-z
   Burke E. R., 2023, What the future has in store: a new paradigm for water storage
   Carvalho L, 2019, SCI TOTAL ENVIRON, V658, P1228, DOI 10.1016/j.scitotenv.2018.12.255
   Chambel A, 2006, NATO SCI S SS IV EAR, V70, P47, DOI 10.1007/1-4020-4738-X_4
   Chkirbane A., 2023, AGREEMAR Deliverable D2.3: MAR Feasibility Maps Validated for Each Demo Region
   COPERNICUS Land Monitoring Service, 2019, CORINE Land Cover 2018 map
   Dillon P, 2019, HYDROGEOL J, V27, P1, DOI 10.1007/s10040-018-1841-z
   Dillon P., 2022, Managed Aquifer Recharge: Overview and Governance
   Dillon P, 2020, WATER-SUI, V12, DOI 10.3390/w12071846
   Dillon P, 2018, SUST WAT RESOUR MAN, V4, P145, DOI 10.1007/s40899-018-0242-8
   Duque J, 2001, NEW APPROACHES CHARACTERIZING GROUNDWATER FLOW, VOLS 1 AND 2, P1169
   Earth Explorer, 2022, USGS-SRTM30m
   Eekhout JPC, 2018, HYDROL EARTH SYST SC, V22, P5935, DOI 10.5194/hess-22-5935-2018
   Escalante E., 2014, 12 PORT WAT C, V1
   Espinosa LA, 2022, WATER-SUI, V14, DOI 10.3390/w14121863
   Fathi S, 2020, GROUNDWATER SUST DEV, V11, DOI 10.1016/j.gsd.2020.100390
   Escalante EF, 2014, WATER-SUI, V6, P2021, DOI 10.3390/w6072021
   Giorgi F, 2008, GLOBAL PLANET CHANGE, V63, P90, DOI 10.1016/j.gloplacha.2007.09.005
   Hani HM, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15065399
   Hayat S, 2021, ACQUE SOTTER, V10, P17, DOI 10.7343/as-2021-505
   Hugman R, 2017, HYDROGEOL J, V25, P2105, DOI 10.1007/s10040-017-1594-0
   INOWAS, 2023, T05. GIS Multi-Criteria Decision Analysis
   Intergovernmental Panel on Climate Change (IPCC), 2023, Climate Change 2021The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel On Climate Change, DOI [10.1017/9781009325844.001, DOI 10.1017/9781009157940, 10.1017/9781009157896]
   IPCC, 2023, Climate Change 2023: Synthesis Report. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, DOI [DOI 10.59327/IPCC/AR6-9789291691647, 10.59327/IPCC/AR6-9789291691647.001]
   IPMA, 2023, Portuguese climatological normals
   Iqbal AB, 2020, GROUNDWATER SUST DEV, V10, DOI 10.1016/j.gsd.2019.100312
   IWA, 2023, Integrated Water Resources Management: Basic Concepts
   Jadav K, 2023, ENVIRON MONIT ASSESS, V195, DOI 10.1007/s10661-023-11586-y
   Jakariya M, 2020, GROUNDWATER SUST DEV, V11, DOI 10.1016/j.gsd.2020.100475
   LEAF-ISA, 2020, EPIC WebGIS Portugal-ecological planning, investigation and cartography
   Leitao T.E., 2022, PORTUGUESE ESTADO QU, P167
   LNEG, 2023, Geological database
   Ferreira JPL, 2010, PROCEEDINGS OF THE 4TH INTERNATIONAL YELLOW RIVER FORUM ON ECOLOGICAL CIVILIZATION AND RIVER ETHICS, VOL I, P150
   Lobo Ferreira J.P., 1993, Report 179/9
   Maghribi AA, 2022, WATER SUPPLY, V22, P7027, DOI 10.2166/ws.2022.297
   Malczewski J, 2006, INT J GEOGR INF SCI, V20, P703, DOI 10.1080/13658810600661508
   Maréchal JC, 2020, WATER-SUI, V12, DOI 10.3390/w12030680
   Martins T.N., 2022, AGREEMAR Deliverable D2.2. Participative methodology for criteria selection and weighting in MAR site feasibility mapping
   Marwaha N, 2021, WATER RESOUR RES, V57, DOI 10.1029/2020WR028811
   McCurry G, 2022, GROUNDWATER, V60, P583, DOI 10.1111/gwat.13226
   Mouhoumed RM, 2023, J HYDROL, V620, DOI 10.1016/j.jhydrol.2023.129387
   Martins TN, 2024, J WATER CLIM CHANGE, V15, P2899, DOI 10.2166/wcc.2024.244
   Oliveira L.G.S., 2008, INDICE SUPORTE ESCOL
   Oliveira M., 2002, Proposta de uma metodologia para a definicao de areas de infiltracao maxima
   Panagiotou C.F., 2022, AGREEMAR Deliverable D2.1: Matrix of Feasibility Criteria for Managed Aquifer Recharge
   Panagiotou CF, 2023, ENVIRON SCI POLLUT R, V30, P14424, DOI 10.1007/s11356-022-22729-y
   Perdikaki M, 2022, HYDROGEOL J, V30, P37, DOI 10.1007/s10040-021-02427-8
   Portela MM, 2020, CLIMATE, V8, DOI 10.3390/cli8120146
   Rahman MA, 2012, J ENVIRON MANAGE, V99, P61, DOI 10.1016/j.jenvman.2012.01.003
   SAATY RW, 1987, MATH MODELLING, V9, P161, DOI 10.1016/0270-0255(87)90473-8
   Saaty TL, 2008, RACSAM REV R ACAD A, V102, P251, DOI 10.1007/BF03191825
   Saaty TL., 1980, Agric Econ Rev, V70, P10, DOI DOI 10.3414/ME10-01-0028
   Sallwey J, 2019, ENVIRON REV, V27, P138, DOI 10.1139/er-2018-0069
   San-Sebastián-Sauto J, 2018, SUST WAT RESOUR MAN, V4, P193, DOI 10.1007/s40899-018-0232-x
   Santos JF, 2010, WATER RESOUR RES, V46, DOI 10.1029/2009WR008071
   Silveira A., 2018, Southern Portugal, P247, DOI DOI 10.31447/ICS9789726715054.10
   SNIAMB, 2022, Environmental geographical information system from the Portuguese Environmental Agency
   SNIRH, 2023, Portuguese water resources information system
   Soares PMM, 2022, J HYDROL, V615, DOI 10.1016/j.jhydrol.2022.128731
   Standen K, 2023, WATER-SUI, V15, DOI 10.3390/w15122286
   Stefan C, 2018, SUST WAT RESOUR MAN, V4, P153, DOI 10.1007/s40899-017-0212-6
   Varouchakis E, 2023, HYDROL RES, V54, P1, DOI 10.2166/nh.2022.054
   Zhang H, 2020, PHYS CHEM EARTH, V118, DOI 10.1016/j.pce.2020.102887
NR 71
TC 2
Z9 2
U1 3
U2 3
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2352-801X
J9 GROUNDWATER SUST DEV
JI Groundwater Sustain. Dev.
PD AUG
PY 2024
VL 26
AR 101280
DI 10.1016/j.gsd.2024.101280
EA JUL 2024
PG 18
WC Engineering, Environmental; Environmental Sciences; Water Resources
WE Emerging Sources Citation Index (ESCI)
SC Engineering; Environmental Sciences & Ecology; Water Resources
GA ZE4M4
UT WOS:001273606600001
OA hybrid
DA 2025-01-10
ER

PT J
AU Hao, YF
   Mao, JF
   Jin, MZ
   Wang, YP
   Tang, RY
   Lee, ZW
AF Hao, Yuefeng
   Mao, Jiafu
   Jin, Mingzhou
   Wang, Yaoping
   Tang, Rongyun
   Lee, Zhe Weng
TI Evaluating the effects of heatwave events on hydrological processes in
   the contiguous United States (2003-2022)
SO JOURNAL OF HYDROLOGY
LA English
DT Article
DE Heatwave events; Hydrologic Cycle; GLDAS; Contiguous United States
ID CLIMATE-CHANGE; HUMAN HEALTH; HIGH-IMPACT; SUMMER; TEMPERATURE; DROUGHT;
   WAVES
AB Extreme heat and drought conditions are affecting water availability in many regions worldwide, leading to negative impacts on human societies, agriculture, and ecosystems. However, current research lacks comprehensive spatiotemporal analysis examining the interplay between multiple hydrological factors and heatwave events, especially in the context of climate change. This research broadly pertains to understanding the dynamics of hydrological factors and their potential responses to heatwave during warm seasons across the contiguous United States for the period from 2003 to 2022. Utilizing data from the Global Land Data Assimilation System (GLDAS), we analyzed surface runoff, evapotranspiration (ET), precipitation, Groundwater Storage (GWS), Root Zone Soil Moisture (RZSM), and Total Water Storage (TWS) to discern annual patterns and the impacts of heatwave. The spatial patterns of heatwave highlighted a higher occurrence in the western, central, and northeastern U.S., with longer average durations in the western and south-central regions. These events are predominantly dry, characterized by low Relative Humidity (RH), except in the southeastern U.S., where heatwave coincide with high RH levels. Post-heatwave analysis indicated a reduction in GWS, TWS, RZSM, and ET, alongside an increase in surface runoff, RH, and precipitation. An in-depth examination of rainfall and temperature dynamics during heatwave revealed weak correlations between rainfall and temperature, as well as between rainfall and heatwave duration, highlighting the complex nature of these interactions. The study also found an enhanced probability of rainfall following heatwave, particularly in the eastern regions, drawing attention to the potential for increased Hood risks post-heatwave. Our findings contribute to the growing body of knowledge on the impacts of heatwave on hydrological factors, providing valuable insights for climate change adaptation and water resource management strategies.
C1 [Hao, Yuefeng; Jin, Mingzhou; Tang, Rongyun] Univ Tennessee, Inst Secure & Sustainable Environm, Knoxville, TN 37996 USA.
   [Hao, Yuefeng; Mao, Jiafu; Wang, Yaoping] Oak Ridge Natl Lab, Environm Sci Div, Oak Ridge, TN 37771 USA.
   [Hao, Yuefeng; Mao, Jiafu; Wang, Yaoping] Climate Change Sci Inst, Oak Ridge Natl Lab, Oak Ridge, TN 37771 USA.
   [Lee, Zhe Weng] Nanyang Technol Univ, Sch Phys & Math Sci, Singapore City, Singapore.
C3 University of Tennessee System; University of Tennessee Knoxville;
   United States Department of Energy (DOE); Oak Ridge National Laboratory;
   United States Department of Energy (DOE); Oak Ridge National Laboratory;
   Nanyang Technological University
RP Jin, MZ (corresponding author), Univ Tennessee, Inst Secure & Sustainable Environm, Knoxville, TN 37996 USA.; Mao, JF (corresponding author), Oak Ridge Natl Lab, Environm Sci Div, Oak Ridge, TN 37771 USA.; Mao, JF (corresponding author), Climate Change Sci Inst, Oak Ridge Natl Lab, Oak Ridge, TN 37771 USA.
EM yhao12@utk.edu; maoj@ornl.gov; jin@utk.edu; wangy7@ornl.gov;
   rtang7@vols.utk.edu; p210004@e.ntu.edu.sg
RI Wang, Yaoping/LEM-1024-2024; TANG, RONGYUN/HII-8684-2022; Mao,
   Jiafu/B-9689-2012
OI Wang, Yaoping/0000-0002-5162-1910; Mao, Jiafu/0000-0002-2050-7373
FU Environmental Systems Sciences Division of the Biological and
   Environmental Research office in the Office of Science of the U.S.
   Department of Energy; Office of Science of the US Department of Energy
   [DE-AC05-00OR22725]
FX This research was supported by the Terrestrial Ecosystem Science
   Scientific Focus Area (TES SFA) and the Reducing Uncertainties in
   Biogeochemical Interactions through Synthesis and Computation Science
   Focus Area (RUBISCO SFA) projects, both of which were funded by the
   Environmental Systems Sciences Division of the Biological and
   Environmental Research office in the Office of Science of the U.S.
   Department of Energy. Oak Ridge National Laboratory is supported by the
   Office of Science of the US Department of Energy under Contract No.
   DE-AC05-00OR22725.
CR Alley WM, 2002, SCIENCE, V296, P1985, DOI 10.1126/science.1067123
   Amengual A, 2014, GLOBAL PLANET CHANGE, V119, P71, DOI 10.1016/j.gloplacha.2014.05.006
   Arora N. K., 2019, Environmental Sustainability, V2, P95, DOI [10.1007/s42398-019-00078-w, DOI 10.1007/S42398-019-00078-W]
   Barriopedro D, 2011, SCIENCE, V332, P220, DOI 10.1126/science.1201224
   BOLTON D, 1980, MON WEATHER REV, V108, P1046, DOI 10.1175/1520-0493(1980)108<1046:TCOEPT>2.0.CO;2
   Borrell C, 2006, EUR J EPIDEMIOL, V21, P633, DOI 10.1007/s10654-006-9047-4
   Brown TC, 2008, J AM WATER RESOUR AS, V44, P1474, DOI 10.1111/j.1752-1688.2008.00252.x
   Campbell S, 2018, HEALTH PLACE, V53, P210, DOI 10.1016/j.healthplace.2018.08.017
   Carbone RE, 2008, J CLIMATE, V21, P4132, DOI 10.1175/2008JCLI2275.1
   Chen Y, 2022, GEOPHYS RES LETT, V49, DOI 10.1029/2022GL099485
   Chen Y, 2021, GEOPHYS RES LETT, V48, DOI 10.1029/2021GL092549
   Christidis N, 2015, NAT CLIM CHANGE, V5, P46, DOI [10.1038/nclimate2468, 10.1038/NCLIMATE2468]
   Dai AG, 2011, WIRES CLIM CHANGE, V2, P45, DOI 10.1002/wcc.81
   Dole R, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2010GL046582
   Domeisen DIV, 2023, NAT REV EARTH ENV, V4, P36, DOI 10.1038/s43017-022-00371-z
   Fischer EM, 2010, NAT GEOSCI, V3, P398, DOI 10.1038/NGEO866
   García-Herrera R, 2010, CRIT REV ENV SCI TEC, V40, P267, DOI 10.1080/10643380802238137
   Ha KJ, 2022, NPJ CLIM ATMOS SCI, V5, DOI 10.1038/s41612-022-00272-4
   Haddeland I, 2014, P NATL ACAD SCI USA, V111, P3251, DOI 10.1073/pnas.1222475110
   Heidari H, 2020, EARTHS FUTURE, V8, DOI 10.1029/2020EF001657
   Huang MT, 2015, GLOBAL CHANGE BIOL, V21, P2366, DOI 10.1111/gcb.12873
   Hulley GC, 2020, EARTHS FUTURE, V8, DOI 10.1029/2020EF001480
   Jasechko S, 2021, NATURE, V591, P391, DOI 10.1038/s41586-021-03311-x
   Johnk KD, 2008, GLOBAL CHANGE BIOL, V14, P495, DOI 10.1111/j.1365-2486.2007.01510.x
   Li ZY, 2021, WATER RESOUR RES, V57, DOI 10.1029/2021WR029738
   Lowe D, 2011, INT J ENV RES PUB HE, V8, P4623, DOI 10.3390/ijerph8124623
   Meehl GA, 2004, SCIENCE, V305, P994, DOI 10.1126/science.1098704
   Miralles DG, 2019, ANN NY ACAD SCI, V1436, P19, DOI 10.1111/nyas.13912
   Miralles DG, 2014, NAT GEOSCI, V7, P345, DOI [10.1038/ngeo2141, 10.1038/NGEO2141]
   Naz BS, 2016, GLOBAL PLANET CHANGE, V143, P100, DOI 10.1016/j.gloplacha.2016.06.003
   Niggli L., 2022, PLoS Clim, V1, DOI [10.1371/journal.pclm.0000057, DOI 10.1371/JOURNAL.PCLM.0000057]
   Pastorello G, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-0534-3
   Peña-Gallardo M, 2019, J HYDROL, V568, P611, DOI 10.1016/j.jhydrol.2018.11.026
   Perkins-Kirkpatrick SE, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-16970-7
   Rodell M, 2004, B AM METEOROL SOC, V85, P381, DOI 10.1175/BAMS-85-3-381
   Rostami M, 2024, ATMOS SCI LETT, V25, DOI 10.1002/asl.1188
   Russo S, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-018-08070-4
   Sauter C, 2023, INT J CLIMATOL, V43, P1050, DOI 10.1002/joc.7872
   Stott PA, 2004, NATURE, V432, P610, DOI 10.1038/nature03089
   Taylor RG, 2013, NAT CLIM CHANGE, V3, P322, DOI [10.1038/nclimate1744, 10.1038/NCLIMATE1744]
   Teuling AJ, 2010, NAT GEOSCI, V3, P722, DOI 10.1038/NGEO950
   Trenberth KE, 2003, B AM METEOROL SOC, V84, P1205, DOI 10.1175/BAMS-84-9-1205
   Trenberth KE, 2014, NAT CLIM CHANGE, V4, P17, DOI 10.1038/NCLIMATE2067
   Ullah I, 2022, EARTHS FUTURE, V10, DOI 10.1029/2021EF002240
   van Vliet MTH, 2013, GLOBAL ENVIRON CHANG, V23, P450, DOI 10.1016/j.gloenvcha.2012.11.002
   Watson JEM, 2012, ADV CLIM CHANG RES, V3, P1, DOI 10.3724/SP.J.1248.2012.00001
   Weiskopf SR, 2020, SCI TOTAL ENVIRON, V733, DOI 10.1016/j.scitotenv.2020.137782
   You JW, 2021, GEOPHYS RES LETT, V48, DOI 10.1029/2021GL094831
   Zhang W, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL089185
   Zuo J, 2015, J CLEAN PROD, V92, P1, DOI 10.1016/j.jclepro.2014.12.078
NR 50
TC 0
Z9 0
U1 15
U2 20
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0022-1694
EI 1879-2707
J9 J HYDROL
JI J. Hydrol.
PD JUN
PY 2024
VL 637
AR 131368
DI 10.1016/j.jhydrol.2024.131368
EA MAY 2024
PG 10
WC Engineering, Civil; Geosciences, Multidisciplinary; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Geology; Water Resources
GA TW5I8
UT WOS:001244306000001
DA 2025-01-10
ER

PT J
AU Nauta, SM
   Waterloo, MJ
   Gevaert, AI
   de Bijl, J
   Brotherton, P
AF Nauta, Silke M.
   Waterloo, Maarten J.
   Gevaert, Anouk I.
   de Bijl, Jos
   Brotherton, Paul
TI Micro-Catchments, Macro Effects: Natural Water Retention Measures in the
   Kylldal Catchment, Germany
SO WATER
LA English
DT Article
DE wetland restoration; natural water retention measures; floods and
   droughts; climate change adaptation; natural sponges; nutrient
   transport; hydrological modelling; stream discharge
ID EXCEPTIONAL FLOOD EVENT; MULTIDISCIPLINARY ANALYSIS; WETLAND
   RESTORATION; METHANE EMISSION; CENTRAL-EUROPE; RIVER-BASIN; JULY 2021;
   IMPACTS; CONNECTIVITY; SERVICES
AB Floods are among the most devastating and financially burdensome natural disasters in Europe. The combined impact of climate change and land use change is expected to exacerbate and intensify the destructive consequences of river floods. In this study, we analysed the effects of wetland restoration on peak and base flows and on water quality in the Kylldal catchment of the Kyll River in the German Middle Mountains using the Soil and Water Assessment Tool+ (SWAT+). Monthly median daily discharge increases varied between 3% and 33% in the studied (micro)catchments. The higher median flow rates show that discharge peaks were attenuated and distributed over a longer period, making both extreme peak flows and low flows less common. Peak flows tended to decrease, with the largest effects between late fall and early spring when peak flow values decreased by up to 18%. The annual maximum peak flows in each of the three micro-catchments decreased by 12-24% on average. The occurrence of daily average flow rates larger than 1 m3 s-1 was up to 45% lower after wetland restoration. Low flows increased by up to 21% and 13% in the summer and fall, respectively, which suggests that drought risk also decreases after wetland restoration. Average nitrogen exports decreased by 38-50% in the project areas and by 20% at the catchment level. Average phosphorus exports decreased by 52-67% in the project areas and by 25% at the catchment level. The study highlights the potential of wetland restoration for improving hydrological services, mitigating flood risks, and enhancing water quality. Restoring and maintaining freshwater ecosystems and their natural sponge functions is crucial for effectively managing water resources and addressing the challenges posed by climate change and land use changes.
C1 [Nauta, Silke M.; Brotherton, Paul] Wetlands Int European Assoc, Horapark 9, NL-6717 LZ Ede, Netherlands.
   [Waterloo, Maarten J.; Gevaert, Anouk I.] Acacia Water, Van Hogendorppl 4, NL-2805 BM Gouda, Netherlands.
   [de Bijl, Jos] Stroming,Toernooiveld 300, NL-6525 EC Nijmegen, Netherlands.
RP Brotherton, P (corresponding author), Wetlands Int European Assoc, Horapark 9, NL-6717 LZ Ede, Netherlands.
EM silke_nauta@hotmail.com; maarten.waterloo@acaciawater.com;
   anouk.gevaert@acaciawater.com; jos.debijl@stroming.nl;
   paul.brotherton@wetlands.org
RI Waterloo, Maarten J./E-5617-2012
OI Waterloo, Maarten J./0000-0001-6891-3058
FU Joint Research Centre (JRC)
FX No Statement Available
CR Acreman M, 2013, WETLANDS, V33, P773, DOI 10.1007/s13157-013-0473-2
   Acreman MC, 2003, HYDROL EARTH SYST SC, V7, P75, DOI 10.5194/hess-7-75-2003
   Åhlén I, 2022, ECOHYDROLOGY, V15, DOI 10.1002/eco.2458
   [Anonymous], 1959, Openchannel hydraulics
   [Anonymous], IMA GDI Nordrhein-Westfalen Home|Geoportal
   [Anonymous], Digitales Gelandemodell Gitterweite 1 m
   Arcement G. J., 1989, Paper 2339
   Arnold JG, 2012, T ASABE, V55, P1491
   Ballabio C, 2016, GEODERMA, V261, P110, DOI 10.1016/j.geoderma.2015.07.006
   Bieger K, 2019, J AM WATER RESOUR AS, V55, P578, DOI 10.1111/1752-1688.12728
   Bieger K, 2017, J AM WATER RESOUR AS, V53, P115, DOI 10.1111/1752-1688.12482
   Blanchette M, 2019, J ENVIRON MANAGE, V234, P448, DOI 10.1016/j.jenvman.2018.12.095
   Bourke M., 2022, Spatial Flood Risk Management: Implementing Catchment-Based Retention and Resilience on Private Land, P13
   Bowden WB, 2001, HYDROL PROCESS, V15, P1707, DOI 10.1002/hyp.235
   Chiu YY, 2023, WATER-SUI, V15, DOI 10.3390/w15142527
   Collentine D, 2018, J FLOOD RISK MANAG, V11, P76, DOI 10.1111/jfr3.12269
   Coops H., 2007, Ecological Restoration of Wetlands in Europe; Significance for Implementing the Water Framework Directive in the Netherlands
   Copernicus LMS CLC, 2018, Copernicus Land Monitoring Service
   Cornwall W, 2021, SCIENCE, V373, P372, DOI 10.1126/science.373.6553.372
   Dalzell B.J., 2015, AM GEOPH UN FALL M 2
   Deutscher Wetterdienst, Meteorological Data Repository Germany
   Dienstleistungszentrum Landlicher Raum (DLR), 2020, Informationen fur Ackerbau und Grunland
   Directorate-General for Environment (European Commission), 2014, EU Policy Document on Natural Water Retention Measures: By the Drafting Team of the WFD CIS Working Group Programme of Measures (WG PoM)
   Dobos E., 2020, ATMOSPHERE CLIMATE, V2
   Dottori F., 2020, Adapting to rising river flood risk in the EU under climate change
   Economic Losses from Weatherand, Climate-Related Extremes in Europe
   Ekstrom E., 2023, Masters Thesis
   European, State of the Climate 2021 Summary|Copernicus
   Evenson GR, 2021, ENVIRON RES COMMUN, V3, DOI 10.1088/2515-7620/ac2125
   Evenson GR, 2018, J HYDROL X, V1, DOI 10.1016/j.hydroa.2018.10.002
   Fennessy S., 2018, Wetland Restoration for Climate Change Resilience
   Filoso S, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0183210
   Fisher J, 2004, HYDROL EARTH SYST SC, V8, P673, DOI 10.5194/hess-8-673-2004
   Fritsch F, Dungung\Ackerbau und Grunland\Ackerbau und Grunland
   Fritsch F., 2020, Informationen fur Ackerbau und Grunland
   Gao H., 2016, AM GEOPH UN FALL M 2
   Grizzetti B, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-00324-3
   Gunnell K, 2019, SCI TOTAL ENVIRON, V670, P411, DOI 10.1016/j.scitotenv.2019.03.212
   Hankin B., 2021, WATER SECURITY, V13, DOI DOI 10.1016/J.WASEC.2021.100091
   Henderson F.M., 1966, Open Channel Flow
   HEY DL, 1995, RESTOR ECOL, V3, P4, DOI 10.1111/j.1526-100X.1995.tb00070.x
   Javaheri A, 2014, ECOL ENG, V73, P132, DOI 10.1016/j.ecoleng.2014.09.021
   Kadykalo AN, 2016, ECOSYST SERV, V20, P91, DOI 10.1016/j.ecoser.2016.06.005
   Kahraman A, 2021, GEOPHYS RES LETT, V48, DOI 10.1029/2020GL092361
   Kleimeier C, 2018, WATER-SUI, V10, DOI 10.3390/w10040355
   Lane CR, 2018, J AM WATER RESOUR AS, V54, P346, DOI 10.1111/1752-1688.12633
   Lemke AM, 2022, J ENVIRON QUAL, V51, P797, DOI 10.1002/jeq2.20316
   Ludwig P, 2023, NAT HAZARD EARTH SYS, V23, P1287, DOI 10.5194/nhess-23-1287-2023
   McCuen RH, 2006, J HYDROL ENG, V11, P597, DOI 10.1061/(ASCE)1084-0699(2006)11:6(597)
   Middleton BethA., 2002, FLOOD PULSING WETLAN, P1
   Mitsch WJ, 2006, ECOL ENG, V26, P55, DOI 10.1016/j.ecoleng.2005.09.005
   Mohr S, 2023, NAT HAZARD EARTH SYS, V23, P525, DOI 10.5194/nhess-23-525-2023
   MOORE TR, 1993, GEOPHYS RES LETT, V20, P587, DOI 10.1029/93GL00208
   Otterman E., 2017, Restoration of the Marshes in the Valleys of the Middle Mountains of the Rhine Basin for Flood and Drought Risk ReductionThe Sponges Approach, P68
   Rheinland-Pfalz Auskunftssystem Geoportal, Wasser
   Richardson CJ, 2011, ECOL ENG, V37, P25, DOI 10.1016/j.ecoleng.2010.09.005
   Richey JE, 2002, NATURE, V416, P617, DOI 10.1038/416617a
   Robinson M, 2003, FOREST ECOL MANAG, V186, P85, DOI 10.1016/S0378-1127(03)00238-X
   Ruangpan L, 2020, NAT HAZARD EARTH SYS, V20, P243, DOI 10.5194/nhess-20-243-2020
   Tanneberger F, 2021, ADV SUSTAIN SYST, V5, DOI 10.1002/adsu.202000146
   Thiere G, 2011, ECOL ENG, V37, P6, DOI 10.1016/j.ecoleng.2009.02.002
   Tollan A, 2002, WATER SCI TECHNOL, V45, P183, DOI 10.2166/wst.2002.0176
   USDA-NRCS, 2011, Scenarios for Wetland Restoration, P33
   USDA-NRCS, 2008, Engineering Field Handbook, P150
   van Deursen W., 2013, Possibilities for Storage? Stores of Possibilities!, P25
   van Huissteden J, 2004, QUATERNARY SCI REV, V23, P1989, DOI 10.1016/j.quascirev.2004.02.015
   Van Stempvoort DR, 2023, HYDROL PROCESS, V37, DOI 10.1002/hyp.14866
   van Vliet MTH, 2013, GLOBAL ENVIRON CHANG, V23, P450, DOI 10.1016/j.gloenvcha.2012.11.002
   van Winden A., 2004, Storing Water near the Source, P18
   Venterink HO, 2003, ECOLOGY, V84, P2191, DOI 10.1890/01-0639
   Vörösmarty CJ, 2010, NATURE, V467, P555, DOI 10.1038/nature09440
   Wassen MJ, 1996, VEGETATIO, V126, P1
   Waterloo M.J., 2023, Stroomgebied De Geul. Effectiviteit van Natuur-Gerelateerde Maatregelen ter Vermindering van Overstromingsrisicos, P100
   Whalen SC, 2005, ENVIRON ENG SCI, V22, P73, DOI 10.1089/ees.2005.22.73
   Wilken R.-D., 2005, The Handbook of Environmental Chemistry, V5L
   Wit F., 2009, Masters Thesis
   Wondie A, 2018, ECOHYDROL HYDROBIOL, V18, P231, DOI 10.1016/j.ecohyd.2018.02.002
   Wu YF, 2023, CLIM RISK MANAG, V40, DOI 10.1016/j.crm.2023.100505
   Yao Y., Changes in Stream Peak Flow and Regulation in Naoli River Watershed as a Result of Wetland Loss
   Yen H, 2019, WATER-SUI, V11, DOI 10.3390/w11081681
   Zedler JB, 2003, FRONT ECOL ENVIRON, V1, P65, DOI 10.1890/1540-9295(2003)001[0065:WAYSRI]2.0.CO;2
   Zemke JJ, 2018, ERDE, V149, P102, DOI 10.12854/erde-2018-373
NR 82
TC 0
Z9 0
U1 8
U2 16
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD MAR
PY 2024
VL 16
IS 5
AR 733
DI 10.3390/w16050733
PG 22
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA KW4S4
UT WOS:001182992400001
OA gold
DA 2025-01-10
ER

PT J
AU Peduzzi, P
   Velegrakis, A
   Chatenoux, B
   Estrella, M
   Karambas, T
AF Peduzzi, Pascal
   Velegrakis, Adonis
   Chatenoux, Bruno
   Estrella, Marisol
   Karambas, Theofanis
TI Assessment of the Role of Nearshore Marine Ecosystems to Mitigate Beach
   Erosion: The Case of Negril (Jamaica)
SO ENVIRONMENTS
LA English
DT Article
DE ecosystems services; beach erosion; climate change adaptation; disaster
   risk reduction; environment; GIS; remote sensing; models
ID SEA-LEVEL RISE; CLIMATE-CHANGE; COASTAL; ISLAND; TRENDS; ADAPTATION;
   INSIGHTS; IMPACTS; REEFS
AB Coastal and marine ecosystems are supplying a wide range of services. With accelerated Sea Level Rise, intensification of waves and storm surge severity and increasing anthropogenic pressures, these areas are under multiple threats and society may not receive the same level of ecosystems services. This study aims at measuring the trend of beach erosion and at identifying and quantifying the role of some coastal and marine ecosystems in mitigating beach erosion in the region of Negril (Jamaica). In this location, the tourism industry provides the main source of economic revenue. Even at the national level, the two beaches are important assets linked with 5% of the national revenue as 25% of the hotel rooms are located around Negril. In Jamaica, the tourism industry is a significant component of national GDP. 25% of hotel rooms are located around the two beaches of Negril, which have lost an average of 23.4 m of width since 1968. Given the importance of Negril's beaches to their economy, the Government of Jamaica asked UNEP to conduct a study to identify causes of beach erosion in Negril and potential solutions to address trends of beach erosion, in the context of future sea level rise scenarios induced by climate change. This paper addresses the current beach erosion status and future trends under different climate scenarios. We explain how, by using remote sensing, GIS, wave modelling and multiple regressions analysis associated with national, local and community consultations, we were able to identify and quantify the role of ecosystems for mitigating beach erosion. We show that larger widths of coral and seagrass meadows reduce beach erosion.
C1 [Peduzzi, Pascal] UNEP GRID Geneva, United Nations Environm Programme, CH-1219 Geneva, Switzerland.
   [Peduzzi, Pascal; Chatenoux, Bruno] Univ Geneva, Inst Environm Sci, CH-1211 Geneva, Switzerland.
   [Peduzzi, Pascal] Univ Geneva, Fac Sci, Dept FA Forel Environm & Aquat Sci, CH-1211 Geneva, Switzerland.
   [Velegrakis, Adonis] Univ Aegean, Dept Marine Sci, Mitilini 81100, Greece.
   [Estrella, Marisol] United Nations Environm Programme, Postconflict & Disaster Management Branch, CH-1219 Geneva, Switzerland.
   [Karambas, Theofanis] Aristotelian Univ Thessaloniki, Sch Civil Engn, Thessaloniki 54124, Greece.
C3 University of Geneva; University of Geneva; University of Aegean;
   Aristotle University of Thessaloniki
RP Peduzzi, P (corresponding author), UNEP GRID Geneva, United Nations Environm Programme, CH-1219 Geneva, Switzerland.; Peduzzi, P (corresponding author), Univ Geneva, Inst Environm Sci, CH-1211 Geneva, Switzerland.; Peduzzi, P (corresponding author), Univ Geneva, Fac Sci, Dept FA Forel Environm & Aquat Sci, CH-1211 Geneva, Switzerland.
EM pascal.peduzzi@unige.ch; afv@aegean.gr; bruno.chatenoux@unepgrid.ch;
   marisol.estrella@un.org; karambas@civil.auth.gr
OI Karambas, Theofanis/0000-0002-6142-7855; Velegrakis,
   Adonis/0000-0001-8222-1189; Peduzzi, Pascal/0000-0002-6166-9555
FU United Nations Environment Programme
FX This research was funded by the United Nations Environment Programme.
CR Abbott T, 2013, OCEAN COAST MANAGE, V73, P13, DOI 10.1016/j.ocecoaman.2012.12.010
   Ackerman Ralph A., 1997, P83
   Alexandris N., 2014, MONITORING RESTORATI
   Andreadis O, 2021, J MAR SCI ENG, V9, DOI 10.3390/jmse9080859
   [Anonymous], 2007, BEACH RESTORATION WO
   [Anonymous], 2016, TRAV TOUR EC IM 2016
   [Anonymous], 2011, LCCARL309 ECLAC
   [Anonymous], 2005, Ecosystems and human well-beingSynthesis: A report of the Millennium Ecosystem Assessment
   [Anonymous], 2002, BEACH SANDS RESOURCE
   [Anonymous], 2012, CARIBB J EARTH SCI
   [Anonymous], 2008, STATUS CORAL REEFS W
   [Anonymous], 2010, RISK VULN ASS METH D
   [Anonymous], 1998, Beach processes and sedimentation
   [Anonymous], 2011, COASTAL CAPITAL JAMA
   [Anonymous], 2019, International Tourism Highlights
   Arkema KK, 2013, NAT CLIM CHANGE, V3, P913, DOI 10.1038/NCLIMATE1944
   Asariotis R., 2020, COASTAL MARINE ENV, P253, DOI DOI 10.1201/9780429441004-29
   Barrett L., 2016, GLEANER
   Beck MW, 2011, BIOSCIENCE, V61, P107, DOI 10.1525/bio.2011.61.2.5
   Beetham E, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-06550-1
   Bergillos RJ, 2017, J MARINE SYST, V172, P1, DOI 10.1016/j.jmarsys.2017.02.009
   Bjork S., 1984, OPTIMUM UTILIZATION
   Booij N, 1999, J GEOPHYS RES-OCEANS, V104, P7649, DOI 10.1029/98JC02622
   Bradley K, 2009, J GEOPHYS RES-EARTH, V114, DOI 10.1029/2007JF000951
   BRUUN P, 1988, J COASTAL RES, V4, P627
   Cabaço S, 2008, ESTUAR COAST SHELF S, V79, P354, DOI 10.1016/j.ecss.2008.04.021
   Cambers G, 2009, AQUAT ECOSYST HEALTH, V12, P168, DOI 10.1080/14634980902907987
   Chatenoux B, 2007, NAT HAZARDS, V40, P289, DOI 10.1007/s11069-006-0015-9
   Chen PY, 2015, GLOBAL ENVIRON CHANG, V30, P12, DOI 10.1016/j.gloenvcha.2014.10.011
   Corbella S, 2012, COAST ENG, V70, P40, DOI 10.1016/j.coastaleng.2012.06.004
   Costanza R, 2014, GLOBAL ENVIRON CHANG, V26, P152, DOI 10.1016/j.gloenvcha.2014.04.002
   Daby D, 2003, ENVIRON POLLUT, V125, P313, DOI 10.1016/S0269-7491(03)00125-8
   DEAN RG, 1991, J COASTAL RES, V7, P53
   Duarte CM, 2013, NAT CLIM CHANGE, V3, P961, DOI [10.1038/NCLIMATE1970, 10.1038/nclimate1970]
   DUKE WL, 1991, GEOLOGY, V19, P625, DOI 10.1130/0091-7613(1991)019<0625:SSAHCS>2.3.CO;2
   Edelman T., 1972, Proceedings of the 13th Conference on Coastal Engineering, P1305, DOI DOI 10.9753/ICCE.V13.66
   Edwards P., 2014, NATURAL RESOURCE VAL
   Flor-Blanco G, 2021, GEOMORPHOLOGY, V387, DOI 10.1016/j.geomorph.2021.107767
   Harley MD, 2015, J GEOPHYS RES-EARTH, V120, P1470, DOI 10.1002/2014JF003390
   Harris PT, 2009, CONT SHELF RES, V29, P2011, DOI 10.1016/j.csr.2008.12.006
   Hinkel J, 2013, GLOBAL PLANET CHANGE, V111, P150, DOI 10.1016/j.gloplacha.2013.09.002
   Holon F, 2015, ESTUAR COAST SHELF S, V165, P204, DOI 10.1016/j.ecss.2015.05.017
   Holthuijsen LH, 2003, COAST ENG, V49, P291, DOI 10.1016/S0378-3839(03)00065-6
   HUGHES TP, 1994, SCIENCE, V265, P1547, DOI 10.1126/science.265.5178.1547
   Iribarren C., 1949, 17 INT NAV C LISB
   Karambas T. V., 2003, J MAR ENV ENG, V7, P15
   Karambas T, 2016, J COASTAL RES, V32, P142, DOI 10.2112/JCOASTRES-D-14-00044.1
   Karambas TV, 2013, P I CIVIL ENG-MAR EN, V166, P113, DOI 10.1680/maen.07.00008
   Karambas TV, 2002, J WATERW PORT COAST, V128, P102, DOI 10.1061/(ASCE)0733-950X(2002)128:3(102)
   Knutson TR, 2010, NAT GEOSCI, V3, P157, DOI 10.1038/NGEO779
   Larson M.N. C. Kraus., 1989, SBEACH: Numerical model for simulating storm-induced beach change
   Leontyev IO, 1996, COAST ENG, V29, P187, DOI 10.1016/S0378-3839(96)00029-4
   Luijendijk A, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-24630-6
   Manent P, 2020, AQUAT CONSERV, V30, P1111, DOI 10.1002/aqc.3325
   McArthur S., 2015, CHALLENGES TOURISM R, P288
   McKenzie A., 2012, CARIBBEAN J EARTH SC, V43, P51
   Mentaschi L, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-30904-w
   Miller MW, 2011, ESTUAR COAST SHELF S, V91, P42, DOI 10.1016/j.ecss.2010.10.005
   Monioudi IN, 2017, NAT HAZARD EARTH SYS, V17, P449, DOI 10.5194/nhess-17-449-2017
   Monioudi IN, 2016, REG ENVIRON CHANGE, V16, P1951, DOI 10.1007/s10113-014-0730-9
   Munang R, 2013, CURR OPIN ENV SUST, V5, P67, DOI 10.1016/j.cosust.2012.12.001
   Narayan S, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0154735
   Neumann B, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0118571
   Nicholls RJ, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P315
   Nicholls RJ, 2010, SCIENCE, V328, P1517, DOI 10.1126/science.1185782
   Pau M, 2018, MAR POLLUT BULL, V134, P152, DOI 10.1016/j.marpolbul.2017.08.012
   Paul M, 2011, J GEOPHYS RES-OCEANS, V116, DOI 10.1029/2010JC006797
   Peduzzi P, 2012, NAT CLIM CHANGE, V2, P289, DOI 10.1038/NCLIMATE1410
   Peduzzi P, 2010, NAT HAZARD EARTH SYS, V10, P623, DOI 10.5194/nhess-10-623-2010
   Peduzzi P., 2014, Environmental Development, V11, P208, DOI [10.1016/j.envdev.2014.04.001, DOI 10.1016/J.ENVDEV.2014.04.001]
   Peduzzi P., 2013, ROLE ECOSYSTEMS DISA, P109
   Peduzzi P, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11040957
   Pomeroy A, 2012, J GEOPHYS RES-OCEANS, V117, DOI 10.1029/2012JC008310
   Rahmstorf S, 2007, SCIENCE, V315, P368, DOI 10.1126/science.1135456
   Ranasinghe R, 2016, EARTH-SCI REV, V160, P320, DOI 10.1016/j.earscirev.2016.07.011
   Rhiney K., 2012, Caribbean Journal of Earth Science, V43, P25
   Rigos A, 2016, INTEGR COMPUT-AID E, V23, P141, DOI 10.3233/ICA-150507
   Robinson E., 2012, CARIBB J EARTH SCI, V43, P35
   Robinson E., 2012, CARIBB J EARTH SCI, V43, P3
   Roelvink Dano., 2010, XBeach Model Description and Manual, V6
   Romine BM, 2016, SEDIMENTOLOGY, V63, P1321, DOI 10.1111/sed.12264
   Rupp-Armstrong S, 2007, J COASTAL RES, V23, P1418, DOI 10.2112/04-0426.1
   Schwarzer S, 2009, ARCH SCI, V62, P107
   Short FT, 1999, AQUAT BOT, V63, P169, DOI 10.1016/S0304-3770(98)00117-X
   Smith AB, 2013, NAT HAZARDS, V67, P387, DOI 10.1007/s11069-013-0566-5
   Spalding MD, 2014, OCEAN COAST MANAGE, V90, P50, DOI 10.1016/j.ocecoaman.2013.09.007
   Storlazzi CD, 2011, CORAL REEFS, V30, P83, DOI 10.1007/s00338-011-0723-9
   Toimil A, 2018, TOURISM MANAGE, V68, P387, DOI [10.1016, 10.1016/j.tourman.2018.03.024]
   Tzoraki O, 2018, COAST MANAGE, V46, P78, DOI 10.1080/08920753.2018.1426376
   Velegrakis AF, 2016, NAT HAZARDS, V83, pS201, DOI 10.1007/s11069-016-2415-9
   Vousdoukas MI, 2020, NAT CLIM CHANGE, V10, P260, DOI 10.1038/s41558-020-0697-0
   Webster PJ, 2005, SCIENCE, V309, P1844, DOI 10.1126/science.1116448
   Williams GJ, 2010, MAR POLLUT BULL, V60, P1467, DOI 10.1016/j.marpolbul.2010.05.009
   Woodroffe CD, 2008, GLOBAL PLANET CHANGE, V62, P77, DOI 10.1016/j.gloplacha.2007.11.001
   Woodroffe CD, 2014, MAR GEOL, V352, P248, DOI 10.1016/j.margeo.2013.12.006
NR 95
TC 3
Z9 3
U1 2
U2 6
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2076-3298
J9 ENVIRONMENTS
JI Environments
PD MAY
PY 2022
VL 9
IS 5
AR 62
DI 10.3390/environments9050062
PG 19
WC Environmental Sciences
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA 1P3FQ
UT WOS:000801899300001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Ginige, K
   Mendis, K
   Thayaparan, M
AF Ginige, Kanchana
   Mendis, Kalindu
   Thayaparan, Menaha
TI An assessment of structural measures for risk reduction of
   hydrometeorological disasters in Sri Lanka
SO PROGRESS IN DISASTER SCIENCE
LA English
DT Article
DE Climate change adaptation; Disaster risk reduction; Hydrometeorological
   hazards; Structural measures; Sri Lanka
ID MITIGATION MEASURES; FLOOD DAMAGE; GLOBAL CHANGE; MANAGEMENT;
   PROTECTION; ADAPTATION; DROUGHT; LESSONS; PLAN
AB Sri Lanka has a high incidence of natural hazards with hydrometeorological hazards being the most prevalent. Despite the fact that structural measures such as flood walls and embankments play a vital role in disaster mitigation, it is observed that there is a gap in the development of effective, sustainable, and state of the art structural measures in Sri Lanka. This paper, in this context, aims to assess the nature of existing structural measures in the country in order to highlight what improvements are needed, and the costs and benefits of the necessary improvements. This is achieved through a comprehensive literature review followed by the analysis of twelve semi-structured interviews conducted with experts in the subject of structural measures for disaster mitigation. The findings reveal that Sri Lanka has sufficient types of structural measures in relation to floods, landslides, and coastline erosion compared to other developing countries. However, age and outdated technology are critical issues that hinder the expected performance of the measures. Moreover, it is observed that sufficient structural measures for mitigating the risk of drought related disasters are not in place in Sri Lanka compared to measures for other hydrometeorological hazards. The key benefits of improving structural measures in the country are identified as land development, economic growth, and increased stability of cities, and the main costs and challenges are high initial capital cost, high maintenance and repair cost, and the negligible residual value of structural measures. The findings of this study will lead to gaining a comprehensive understanding of gaps and weaknesses in structural measures in Sri Lanka and will influence policymakers and other respective practitioners in disaster mitigation to effectively enhance the existing portfolio of such measures.
C1 [Ginige, Kanchana] Northumbria Univ, Fac Engn & Environm, Dept Architecture & Built Environm, Newcastle Upon Tyne NE1 8ST, Tyne & Wear, England.
   [Mendis, Kalindu; Thayaparan, Menaha] Univ Moratuwa, Fac Architecture, Dept Bldg Econ, Moratuwa, Sri Lanka.
C3 Northumbria University; University Moratuwa
RP Ginige, K (corresponding author), Northumbria Univ, Fac Engn & Environm, Dept Architecture & Built Environm, Newcastle Upon Tyne NE1 8ST, Tyne & Wear, England.
EM kanchana.ginige@northumbria.ac.uk; mendisapkd.20@uom.lk;
   mthayaparan@uom.lk
RI Ginige, Kanchana/KHD-8232-2024; Thayaparan, Menaha/HKM-8252-2023
OI Mendis, Kalindu/0000-0002-4090-4923
CR Abdella K, 2021, MODEL EARTH SYST ENV, V7, P2779, DOI 10.1007/s40808-020-01057-5
   Abeykoon L.C.K., 2021, 1240 ADBI
   Allotey Nii K., 2010, International Journal of Disaster Resilience in the Built Environment, V1, P140, DOI 10.1108/17595901011056613
   [Anonymous], 2015, AUST J EMERG MANAG, V30, P9
   [Anonymous], 2009, QUALITATIVE RES METH
   [Anonymous], 2013, LIVING FLOODS KEY LE
   Anvarifar F, 2017, RELIAB ENG SYST SAFE, V158, P130, DOI 10.1016/j.ress.2016.10.004
   Atta-ur-Rahman, 2011, NAT HAZARDS, V59, P1239, DOI 10.1007/s11069-011-9830-8
   Balasuriya A.D.H., 2018, Prof. Geol., P47
   Barnes B, 2019, NAT HAZARDS, V97, P813, DOI 10.1007/s11069-019-03677-2
   Basnayake A, 2019, DISAS MANAGE
   BIERNACKI P, 1981, SOCIOL METHOD RES, V10, P141, DOI 10.1177/004912418101000205
   Bosher L, 2007, ENG CONSTR ARCHIT MA, V14, P434, DOI 10.1108/09699980710780746
   Cannon T., 1994, Disasters, Development and Environment
   Chamber of Construction Industry, 2017, SEM FLOOD CONTR DIS
   Creswell J. W., 2018, Research design: qualitative, quantitative, and mixed methods approaches
   Dasandara M, 2021, J CONSTR DEV CTRIES
   De Alwis D, 2017, COST BEING WEATHER D
   Denton F, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1101
   Denver M, 2006, HDB DISASTER RES, P200
   Diaz DB, 2016, CLIMATIC CHANGE, V137, P143, DOI 10.1007/s10584-016-1675-4
   Dilhani K.A.C., 2016, BUILD ENVIRON, V12, P1
   Dube E, 2021, INT J DISAST RISK SC, V12, P700, DOI 10.1007/s13753-021-00373-3
   Dufty N, 2012, AUST J EMERG MANAG, V27, P40
   ec.europa, US
   Erian W., 2021, GAR Special Report on Drought 2021
   Garrote J, 2019, INT J DISAST RISK RE, V37, DOI 10.1016/j.ijdrr.2019.101157
   Genovese E, 2020, AIMS GEOSCI, V6, P459, DOI 10.3934/geosci.2020025
   Gerber BJ, 2007, POLICY STUD J, V35, P227, DOI 10.1111/j.1541-0072.2007.00217.x
   Ginige K, 2010, INT J STRATEG PROP M, V14, P287, DOI 10.3846/ijspm.2010.22
   Guest G., 2008, Handbook for Team-Based Qualitative Research
   Haigh R, 2020, INT J DISASTER RESIL, V11, P219, DOI 10.1108/IJDRBE-07-2019-0051
   Hartmann T, 2017, J FLOOD RISK MANAG, V10, P143, DOI 10.1111/jfr3.12101
   Heidari A, 2009, NAT HAZARD EARTH SYS, V9, P61, DOI 10.5194/nhess-9-61-2009
   Hinkel J, 2014, P NATL ACAD SCI USA, V111, P3292, DOI 10.1073/pnas.1222469111
   Hsieh HF, 2005, QUAL HEALTH RES, V15, P1277, DOI 10.1177/1049732305276687
   Jansen H., 2010, FORUM QUALITATIVE SO, V11, P11, DOI DOI 10.17169/FQS-11.2.1450
   Japan international cooperation agency, 2009, COMPREHENSIVE STUDY
   Japan International Cooperation Agency, 2017, DAT COLL SURV DIS RI
   Jayakody RRJC, 2021, INT J DISASTER RESIL, V12, P471, DOI 10.1108/IJDRBE-06-2020-0058
   Jayasekara RU, 2023, INT J DISASTER RESIL, V14, P1, DOI 10.1108/IJDRBE-02-2021-0012
   Jayawardane A.K. W., 2005, Disaster Mitigation Initiatives in Sri Lanka
   Jayawardena AW, 2015, PROC IUTAM, V17, P3, DOI 10.1016/j.piutam.2015.06.003
   Jha AK, 2012, CITIES AND FLOODING: A GUIDE TO INTEGRATED URBAN FLOOD RISK MANAGEMENT FOR THE 21ST CENTURY, P1, DOI 10.1596/978-0-8213-8866-2
   Kim K, 2019, S KOREA WATER, V11, DOI [10.3390/w11112268, DOI 10.3390/W11112268]
   Kundzewicz ZW, 2018, P NATL ACAD SCI USA, V115, P12321, DOI 10.1073/pnas.1818227115
   Lakmali E., 2017, J SURV FISH SCI, V3, P69, DOI [10.18331/sfs2017.3.2.1, DOI 10.18331/SFS2017.3.2.1, 10.18331/SFS2017.3.2.1]
   Lavell A, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P25
   Lehner B, 2006, CLIMATIC CHANGE, V75, P273, DOI 10.1007/s10584-006-6338-4
   Lewis D., 2005, Journal of Contingencies and Crisis Management, V13, P50
   Lincke D, 2018, GLOBAL ENVIRON CHANG, V51, P67, DOI 10.1016/j.gloenvcha.2018.05.003
   Magaña V, 2016, TECNOL CIENC AGUA, V7, P115
   Maly E, 2020, INT J DISAST RISK SC, V11, P167, DOI 10.1007/s13753-020-00268-9
   Masria A, 2015, J COAST CONSERV, V19, P281, DOI 10.1007/s11852-015-0389-5
   McEntire D.A., 2010, INT J DISASTER RESIL, V1, P50, DOI [DOI 10.1108/17595901011026472, 10.1108/17595901011026472]
   Mehvar S, 2019, CLIM RISK MANAG, V25, DOI 10.1016/j.crm.2019.100192
   Meyer V, 2012, NAT HAZARDS, V62, P301, DOI 10.1007/s11069-011-9997-z
   National Research Council, 2013, LEV NAT FLOOD INS PR, P97
   Ogunyoye F., 2011, Temporary and demountable flood protection guide. Environment agency
   Palliyaguru Roshani, 2008, Structural Survey, V26, P426, DOI 10.1108/02630800810922766
   Parrotta JA, 2012, WORLD FORESTS, V12, P1, DOI 10.107/978-94-007-2144.9
   Partington R., 2019, THE GAURDIAN
   Pathirage C, 2014, GLOBAL ASSESSMENT RE
   Pérez-Morales A, 2021, CUAD INVESTIG GEOGR, V47, P33, DOI 10.18172/cig.4901
   Poussin JK, 2015, GLOBAL ENVIRON CHANG, V31, P74, DOI 10.1016/j.gloenvcha.2014.12.007
   Public Health Foundation of India, 2011, CRIT ASS EX HLTH INS
   Rahman NA, 2017, MALAYSIAN J GEOSCI, V1, P01
   Rahman S, 2014, SCI WORLD J, DOI 10.1155/2014/729357
   Rathnayake U, 2016, OYA MULTIPURPOSE DEV
   Ratnayake NP, 2019, SN APPL SCI, V1, DOI 10.1007/s42452-018-0050-7
   Rowley J, 2012, MANAG RES REV, V35, P260, DOI 10.1108/01409171211210154
   Shivakoti BR., 2019, Global Assessment Report on Disaster Risk Reduction (GAR 2019)
   Shreve CM, 2014, INT J DISAST RISK RE, V10, P213, DOI 10.1016/j.ijdrr.2014.08.004
   Singkran N, 2017, INT J DISAST RISK RE, V25, P92, DOI 10.1016/j.ijdrr.2017.08.003
   Sivakumar S., 2015, INT J SCI ENG RES, V6, P607
   Son CH, 2015, SUSTAINABILITY-BASEL, V7, P16866, DOI 10.3390/su71215851
   Spencer L., 2014, Qualitative Research Practice, P295
   Sri Lanka Medical Association, 2020, SEMINAR OVERDIAGNOSI
   Srinivas H, 2008, J ENVIRON MANAGE, V89, P4, DOI 10.1016/j.jenvman.2007.01.054
   Stalenberg B., 2010, THESIS TU DELFT
   Starominski-Uehara M, 2021, DISASTERS, V45, P46, DOI 10.1111/disa.12412
   Steele P., 2007, DISAS MANAGE
   Sydney Olympic Park Authority, 2019, MAST PLAN 2030 SYDN
   Tariq MAUR, 2012, PHYS CHEM EARTH, V47-48, P11, DOI 10.1016/j.pce.2011.08.014
   Tasseff B, 2019, WATER RESOUR RES, V55, P1490, DOI 10.1029/2018WR024362
   Telmer K, 2004, UNDERGROUND DAMS PRA
   Tiggeloven T, 2020, NAT HAZARD EARTH SYS, V20, P1025, DOI 10.5194/nhess-20-1025-2020
   Tipple G., 2005, Journal of Contingencies and Crisis Management, V13, P66, DOI [10.1111/j.1468-5973.2005.00458.x, DOI 10.1111/J.1468-5973.2005.00458.X]
   Tokida K, 2014, SOILS FOUND, V54, P523, DOI 10.1016/j.sandf.2014.07.001
   UNFCCC, 2015, PAR AGR
   United Nations, 2015, No.A/RES/70/1.
   United Nations Office for Disaster Risk Reduction, 2022, STRUCT NONSTR MEAS
   USAID, 2015, Sanitation
   van Westen CJ, 2016, CARIBBEAN HDB RISK M
   Velasco M, 2018, J FLOOD RISK MANAG, V11, pS55, DOI 10.1111/jfr3.12247
   Wagenaar DJ, 2019, INT J DISAST RISK RE, V37, DOI 10.1016/j.ijdrr.2019.101162
   Wang H, 2021, J ENVIRON MANAGE, V280, DOI 10.1016/j.jenvman.2020.111701
   Wickramaratne S., 2012, Int. J. Disaster Resil. Built Environ, V3, P115, DOI [10.1108/17595901211245198, DOI 10.1108/17595901211245198]
   Wijesundara C. J., 2011, Tropical Agricultural Research, V22, P211, DOI 10.4038/tar.v22i2.2830
   Wood D, 2020, ADV WATER RESOUR, V136, DOI 10.1016/j.advwatres.2019.103501
   Zakour M. J., 2018, CREATING KATRINA REB, P45, DOI [10.1016/B978-0-12-809557-7.00003-X, DOI 10.1016/B978-0-12-809557-7.00003-X]
NR 101
TC 6
Z9 6
U1 0
U2 2
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2590-0617
J9 PROG DISASTER SCI
JI Prog. Disaster Sci.
PD APR
PY 2022
VL 14
AR 100232
DI 10.1016/j.pdisas.2022.100232
PG 10
WC Environmental Sciences; Environmental Studies; Geosciences,
   Multidisciplinary; Public, Environmental & Occupational Health;
   Meteorology & Atmospheric Sciences
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology; Geology; Public, Environmental &
   Occupational Health; Meteorology & Atmospheric Sciences
GA 1S5JB
UT WOS:000804085600002
OA Green Accepted, gold
DA 2025-01-10
ER

PT J
AU Rogger, J
   Hund, A
   Fossati, D
   Holzkamper, A
AF Rogger, Julian
   Hund, Andreas
   Fossati, Dario
   Holzkamper, Annelie
TI Can Swiss wheat varieties escape future heat stress?
SO EUROPEAN JOURNAL OF AGRONOMY
LA English
DT Article
DE Wheat; Switzerland; Climate change adaption; Phenology; Heat stress;
   Heat escape
ID WINTER-WHEAT; CLIMATE-CHANGE; PHENOLOGICAL DEVELOPMENT; CROP PRODUCTION;
   FLOWERING TIME; EUROPEAN WHEAT; TEMPERATURE; YIELD; VARIABILITY;
   RESPONSES
AB Climate change-induced heat waves represent a severe threat to future global crop production. The extent of heat stress for agricultural crops depends on the co-occurrence of heat periods and heat sensitive phenological stages. Using the Wang and Engel phenology model and the most recent climate change projections for four sites across the Swiss Central Plateau, we estimated future heat stress exposure in Swiss wheat production and tested the potential of winter wheat genotypes with differing phenological characteristics to escape future heat periods. Across all genotypes, heat stress days (T-max >= 30 degrees C) during the temperature sensitive stages of flowering and early grain filling increased from an average of 1.5 heat days in 1982 2006 to 2.1 by 2075 2099 with RCP2.6 (with climate change mitigation) and to 3.6 by 2075 2099 with RCP8.5 (without climate change mitigation), respectively. Across all genotypes and locations, a considerable escape from future heat periods was modelled due to a mainly temperature-driven advancement in the phenological development. Under both RCP scenarios, we predicted lower exposure to heat stress for early varieties than for late varieties. However, under the RCP8.5 scenario, for each location, heat stress exposure for early varieties was still projected to be higher by 2075 2099 than for late varieties under current conditions. Further, heat stress exposure was considerably increased at locations with cooler spring conditions, slowing down the early season phenological development and resulting in late heading dates. Our findings imply needs for a regionally adequate cultivar selection as well as for phenological adaptions and heat tolerance traits in Swiss wheat breeding to adapt to future climate change and regional climatic differences. Different strategies of breeding adaptations and their trade-offs are discussed.
C1 [Rogger, Julian; Holzkamper, Annelie] Agroscope, Div Agroecol & Environm, Grp Climate & Agr, Zurich, Switzerland.
   [Hund, Andreas] Swiss Fed Inst Technol, Dept Environm Syst Sci, Grp Crop Sci, Zurich, Switzerland.
   [Fossati, Dario] Agroscope, Div Plant Prod Sci, Grp Plant Breeding, Nyon, Switzerland.
   [Holzkamper, Annelie] Univ Bern, Oeschger Ctr Climate Change Res, Bern, Switzerland.
C3 Swiss Federal Research Station Agroscope; Swiss Federal Institutes of
   Technology Domain; ETH Zurich; Swiss Federal Research Station Agroscope;
   University of Bern
RP Rogger, J (corresponding author), Agroscope, Div Agroecol & Environm, Grp Climate & Agr, Zurich, Switzerland.
EM julian.rogger@erdw.ethz.ch
RI Fossati, Dario/AGJ-7132-2022; Hund, Andreas/S-8778-2019
OI Fossati, Dario/0000-0002-8694-0460; Rogger, Julian/0000-0002-8833-1861;
   Holzkamper, Annelie/0000-0002-1951-1041
CR Anderegg J, 2020, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.01749
   Ardia D., 2016, DEoptim: Differential Evolution in R. Version, P2
   Aslam MA, 2017, FRONT ENV SCI-SWITZ, V5, DOI 10.3389/fenvs.2017.00057
   Asseng S, 2015, NAT CLIM CHANGE, V5, P143, DOI [10.1038/nclimate2470, 10.1038/NCLIMATE2470]
   Barlow KM, 2015, FIELD CROP RES, V171, P109, DOI 10.1016/j.fcr.2014.11.010
   Brisson N, 2010, FIELD CROP RES, V119, P201, DOI 10.1016/j.fcr.2010.07.012
   CH2018, 2018, CH2018 CLIMATE SCENA
   CH2018, 2018, CH2018 Climate Scenarios for Switzerland, Technical Report, DOI DOI 10.18751/CLIMATE/SCENARIOS/CH2018/1.0
   DEMOTES-MAINARD S, 1995, AGRONOMIE, V15, P357, DOI 10.1051/agro:19950603
   Elía M, 2018, FIELD CROP RES, V221, P228, DOI 10.1016/j.fcr.2018.02.030
   ENTZ MH, 1988, AGRON J, V80, P987, DOI 10.2134/agronj1988.00021962008000060030x
   Estrella N, 2007, GLOBAL CHANGE BIOL, V13, P1737, DOI 10.1111/j.1365-2486.2007.01374.x
   Farooq M, 2011, CRIT REV PLANT SCI, V30, P491, DOI 10.1080/07352689.2011.615687
   Fossati D., 2000, Revue Suisse d'Agriculture, V32, P113
   Gouache D, 2012, EUR J AGRON, V39, P62, DOI 10.1016/j.eja.2012.01.009
   Guereña A, 2001, AGRON J, V93, P237, DOI 10.2134/agronj2001.931237x
   Harrison PA, 2000, AGR FOREST METEOROL, V101, P167, DOI 10.1016/S0168-1923(99)00164-1
   He L, 2015, AGR FOREST METEOROL, V200, P135, DOI 10.1016/j.agrformet.2014.09.011
   Herrera JM, 2020, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.01745
   Hijmans R. J., 2014, GEOSPHERE SPHERICAL
   Holzkämper A, 2015, REG ENVIRON CHANGE, V15, P109, DOI 10.1007/s10113-014-0627-7
   Hu Q, 2005, AGR FOREST METEOROL, V135, P284, DOI 10.1016/j.agrformet.2006.01.001
   Hund A, 2019, BURL DODDS AGR SCI, V60, P249, DOI 10.19103/AS.2019.0051.13
   Intergovernmental Panel on Climate Change (IPCC), 2019, Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, DOI 10.1017/CBO9781107415324.024
   Kristensen K, 2011, J AGR SCI-CAMBRIDGE, V149, P33, DOI 10.1017/S0021859610000675
   Kronenberg L, 2017, EUPHYTICA, V213, DOI 10.1007/s10681-017-1940-2
   Liu B, 2014, GLOBAL CHANGE BIOL, V20, P372, DOI 10.1111/gcb.12442
   Lobell DB, 2011, SCIENCE, V333, P616, DOI [10.1126/science.1206376, 10.1126/science.1204531]
   Mäkinen H, 2018, FIELD CROP RES, V222, P209, DOI 10.1016/j.fcr.2017.11.008
   Cossani CM, 2012, PLANT PHYSIOL, V160, P1710, DOI 10.1104/pp.112.207753
   McMaster GS, 2003, J AGR SCI, V141, P129, DOI 10.1017/S0021859603003460
   Meehl GA, 2004, SCIENCE, V305, P994, DOI 10.1126/science.1098704
   Mondal S, 2016, FIELD CROP RES, V192, P78, DOI 10.1016/j.fcr.2016.04.017
   Olesen JE, 2012, FOOD ADDIT CONTAM A, V29, P1527, DOI 10.1080/19440049.2012.712060
   Porter JR, 1999, EUR J AGRON, V10, P23, DOI 10.1016/S1161-0301(98)00047-1
   Price K., 2006, Differential Evolution: A Practical Approach to Global
   R Core Team, 2019, R LANG ENV STAT COMP
   Ren SL, 2019, SCI TOTAL ENVIRON, V665, P620, DOI 10.1016/j.scitotenv.2019.01.394
   Rezaei EE, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-23101-2
   Rezaei EE, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/2/024012
   Richner W., 2017, AGRARFORSCH SCHWEIZ+, V8, P276
   Rummukainen M, 2012, WIRES CLIM CHANGE, V3, P115, DOI 10.1002/wcc.160
   Saebo A, 1996, AGR ECOSYST ENVIRON, V57, P9, DOI 10.1016/0167-8809(95)01009-2
   Schär C, 2004, NATURE, V427, P332, DOI 10.1038/nature02300
   Semenov MA, 2014, J CEREAL SCI, V59, P245, DOI 10.1016/j.jcs.2014.01.006
   Semenov MA, 2011, SCI REP-UK, V1, DOI 10.1038/srep00066
   Semenov MA, 2009, J R SOC INTERFACE, V6, P343, DOI 10.1098/rsif.2008.0285
   Senapati N, 2020, GLOB FOOD SECUR-AGR, V24, DOI 10.1016/j.gfs.2019.100340
   Seneviratne SI, 2006, NATURE, V443, P205, DOI 10.1038/nature05095
   SHPILER L, 1986, EUPHYTICA, V35, P483, DOI 10.1007/BF00021856
   SLAFER GA, 1994, AUST J PLANT PHYSIOL, V21, P393, DOI 10.1071/PP9940393
   Slafer GA, 1995, J EXP BOT, V46, P1877, DOI 10.1093/jxb/46.12.1877
   Springer CJ, 2007, NEW PHYTOL, V176, P243, DOI 10.1111/j.1469-8137.2007.02196.x
   Stratonovitch P, 2015, J EXP BOT, V66, P3599, DOI 10.1093/jxb/erv070
   Streck NA, 2003, AGR FOREST METEOROL, V115, P139, DOI 10.1016/S0168-1923(02)00228-9
   Streck NA, 2003, AGRON J, V95, P155, DOI 10.2134/agronj2003.0155
   Strer M, 2018, ENVIRON SCI EUR, V30, DOI 10.1186/s12302-018-0138-0
   Tao FL, 2012, EUR J AGRON, V43, P201, DOI 10.1016/j.eja.2012.07.005
   Torriani DS, 2007, CLIM RES, V34, P59, DOI 10.3354/cr034059
   Trnka M, 2014, NAT CLIM CHANGE, V4, P637, DOI [10.1038/nclimate2242, 10.1038/NCLIMATE2242]
   Vyas P., 2019, CLIMATE CHANGE LAND
   Wang B, 2015, AGR FOREST METEOROL, V209, P11, DOI 10.1016/j.agrformet.2015.04.028
   Wang EL, 1998, AGR SYST, V58, P1, DOI 10.1016/S0308-521X(98)00028-6
   Wardlaw IF, 2002, FUNCT PLANT BIOL, V29, P25, DOI 10.1071/PP00147
   Wickham H., 2009, ggplot2: Elegant Graphics for Data Analysis, DOI [10.1007/978-0-387-98141-3, 10.1007/978-3-319-24277-4]
   Wu L, 2017, AGRON J, V109, P1280, DOI 10.2134/agronj2016.10.0619
   Xue QW, 2004, CLIM RES, V25, P243, DOI 10.3354/cr025243
   Yip S, 2011, J CLIMATE, V24, P4634, DOI 10.1175/2011JCLI4085.1
   ZADOKS JC, 1974, WEED RES, V14, P415, DOI 10.1111/j.1365-3180.1974.tb01084.x
NR 69
TC 11
Z9 11
U1 4
U2 37
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1161-0301
EI 1873-7331
J9 EUR J AGRON
JI Eur. J. Agron.
PD NOV
PY 2021
VL 131
AR 126394
DI 10.1016/j.eja.2021.126394
EA SEP 2021
PG 11
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA WB6FW
UT WOS:000703666800002
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Karamage, F
   Liu, YB
   Liu, YW
AF Karamage, Fidele
   Liu, Yuanbo
   Liu, Yongwei
TI Data Construction and Spatiotemporal Trend Attribution of Runoff over
   the African Continent (1981-2016)
SO JOURNAL OF HYDROMETEOROLOGY
LA English
DT Article
DE Africa; Watersheds; Streamflow; Precipitation; Runoff; Trends
ID LAND-COVER CHANGE; STREAMFLOW RESPONSE; MOISTURE CONDITION; CURVE
   NUMBERS; WATER; PRECIPITATION; CALIBRATION; CATCHMENT; VARIABILITY;
   SENSITIVITY
AB The availability of streamflow records in Africa has been declining since the 1980s due to malfunctioning gauging stations and data collection failures. Africa also has insufficient hydrological information owing to the allocation of few resources to research efforts. Unreliable runoff datasets and large uncertainties in runoff trends due to climate change patterns and human activities are major challenges to water resource management in Africa. Therefore, this study aimed to improve runoff estimates and to assess runoff trend responses to climate change and human activities in Africa during 1981-2016. Using statistical methods, monthly gridded runoff datasets were generated for the period of 1981-2016 from a modified runoff curve number method calibrated with river discharge data from 535 gauging stations. According to the cross-validation results, the constructed runoff datasets comprised the Nash and Sutcliffe coefficients ranging from 0.5 to 1, coefficients of determination ranging from 0.5 to 1, and percent biases between +/- 25% for a large number of stations up to 73%, 80%, and 91% of the 535 gauged catchments used as references. Analysis of runoff trend responses to climate change and human activities revealed that land cover change contributed more (72%) to the observed net runoff change (0.30% a(-1)) than continental climate changes (28%). These contributions were results of cropland expansion rate of 0.46% a(-1) and a precipitation increase of 0.07% a(-1). The performance and simplicity of the statistical methods used in this study could be useful for improving runoff estimations in other regions with limited streamflow data. The results of the current study could be important to natural resource managers and decision-makers in terms of raising awareness of climate change adaptation strategies and agricultural land-use policies in Africa.
C1 [Karamage, Fidele; Liu, Yuanbo; Liu, Yongwei] Chinese Acad Sci, Nanjing Inst Geog & Limnol, Key Lab Watershed Geog Sci, Nanjing, Peoples R China.
   [Karamage, Fidele] Univ Chinese Acad Sci, Beijing, Peoples R China.
C3 Chinese Academy of Sciences; Nanjing Institute of Geography & Limnology,
   CAS; Chinese Academy of Sciences; University of Chinese Academy of
   Sciences, CAS
RP Liu, YB (corresponding author), Chinese Acad Sci, Nanjing Inst Geog & Limnol, Key Lab Watershed Geog Sci, Nanjing, Peoples R China.
EM ybliu@niglas.ac.cn
FU National Key R&D Program of China [2018YFE0105900]; Chinese Academy of
   Sciences and the World Academy of Sciences (CAS-TWAS) President's PhD
   Fellowship Program
FX This study was supported by the National Key R&D Program of China,
   No.2018YFE0105900, and the Chinese Academy of Sciences and the World
   Academy of Sciences (CAS-TWAS) President's PhD Fellowship Program. Many
   thanks to the Editor and anonymous reviewers for their constructive
   comments, which helped us to improve the manuscript.
CR Abdi AM, 2017, REMOTE SENS-BASEL, V9, DOI 10.3390/rs9030294
   Ali K., 2019, WATER-SUI, V11, P1855, DOI [DOI 10.3390/w11091855, 10.3390/w11091855]
   Anderson J, 2003, WA SCI TECHNOL, V3, P1
   [Anonymous], 2 INT WAT MAN I
   [Anonymous], 2005, Encyclopedia of Hydrological Sciences, DOI 10.1002/0470848944.hsa140
   [Anonymous], ARS63 USDA
   [Anonymous], 2015, PLOS ONE, DOI DOI 10.1371/journal.pone.0132395
   [Anonymous], 2010, AFRICA WATER ATLAS
   [Anonymous], 2011, GLOBAL ASSESSMENT RE
   [Anonymous], 1951, PREDICTING RUNOFF ST
   Arnold J., 2011, TR365 TEX WAT RES I
   Axiak F.C., 2007, NPS9708002 NAV POSTG
   Banasik K, 2014, WATER-SUI, V6, P1118, DOI 10.3390/w6051118
   Bárdossy A, 2007, HYDROL EARTH SYST SC, V11, P703, DOI 10.5194/hess-11-703-2007
   Beck HE, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.214
   Beck HE, 2009, IEEE J-STARS, V2, P250, DOI 10.1109/JSTARS.2009.2031227
   Becker S, 2006, STOCH ENV RES RISK A, V20, P435, DOI 10.1007/s00477-006-0036-7
   Benedict M.A., 2012, GREEN INFRASTRUCTURE
   Billo E.Joseph., 2007, Excel for Scientists and Engineers: Numerical Methods
   Brown JL, 2017, PEERJ, V5, DOI 10.7717/peerj.4095
   BSL, 2018, MICR OFF EXC TREND
   Chen X, 2015, J HYDROMETEOROL, V16, P55, DOI 10.1175/JHM-D-14-0044.1
   Chini LP, 2014, ORNL DAAC
   Chow V.T., 1964, HDB APPL HYDROLOGY C
   Ciampalini A, 2019, GEOMAT NAT HAZ RISK, V10, P1102, DOI 10.1080/19475705.2018.1564375
   CIESIN, 2018, GRIDDED POPULATION W, DOI [10.7927/H45Q4T5F, DOI 10.7927/H45Q4T5F]
   Clover J., 2003, AFR SECUR REV, V12, P5, DOI [10.1080/10246029.2003.9627566, DOI 10.1080/10246029.2003.9627566]
   Cronshey R., 1986, TR-55
   Daggupati P, 2015, T ASABE, V58, P1705
   Deshmukh DS, 2013, J HYDROL, V492, P89, DOI 10.1016/j.jhydrol.2013.04.001
   Dewitte O, 2013, GEODERMA, V211, P138, DOI 10.1016/j.geoderma.2013.07.007
   Duhan D, 2013, ATMOS RES, V122, P136, DOI 10.1016/j.atmosres.2012.10.010
   Edwards PJ, 2015, J CONTEMP WAT RES ED, V154, P3, DOI 10.1111/j.1936-704X.2015.03185.x
   ESA, 2018, LAND COV CCI PROD US
   Faregh W., 2016, LARHYSS J, V27, P257
   Fekete B.M., 2007, IAHS Publ., V309, P129
   Fekete BM, 2002, GLOBAL BIOGEOCHEM CY, V16, DOI 10.1029/1999GB001254
   Fernandez-Illescas CP, 2001, WATER RESOUR RES, V37, P2863, DOI 10.1029/2000WR000121
   Food and Agriculture Organization (FAO), 2009, HYDR BAS AFR DER HYD
   Foyster A.M., 1975, HYDROL RES, V6, P207, DOI [10.2166/nh.1975.0014, DOI 10.2166/NH.1975.0014]
   Funk C, 2015, SCI DATA, V2, DOI 10.1038/sdata.2015.66
   Ghiggi G, 2019, EARTH SYST SCI DATA, V11, P1655, DOI 10.5194/essd-11-1655-2019
   Giustolisi O, 2006, J HYDROINFORM, V8, P207, DOI 10.2166/hydro.2006.020b
   Grijsen J., 2014, 87913 WORLD BANK
   Gupta J, 2008, PHYS CHEM EARTH, V33, P28, DOI 10.1016/j.pce.2007.04.003
   Gusev YM, 2018, P INT ASS HYDROL SCI, V379, P293, DOI 10.5194/piahs-379-293-2018
   Harris I., 2020, **DATA OBJECT**, DOI 10.5285/10d3e3640f004c578403419aac167d82
   Harris I, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-0453-3
   Hartmann D. L., 2015, GLOBAL PHYS CLIMATOL
   Hasan E, 2018, J HYDROL, V561, P312, DOI 10.1016/j.jhydrol.2018.04.004
   Heggen RJ, 2001, J HYDROL ENG, V6, P377, DOI 10.1061/(ASCE)1084-0699(2001)6:5(377)
   Hengl T, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0125814
   Hernández-Guzmán R, 2008, J ENVIRON SCI HEAL A, V43, P1471, DOI 10.1080/10934520802253465
   Hong Y, 2007, WATER RESOUR RES, V43, DOI 10.1029/2006WR005739
   Houghton-Carr H, 2006, IAHS-AISH P, V308, P51
   Howarth R., 2017, DICT MATH GEOSCIENCE, P503, DOI [10.1007/978-3-319-57315-1_18, DOI 10.1007/978-3-319-57315-1_18]
   Huang ZW, 2018, HYDROL EARTH SYST SC, V22, P2117, DOI 10.5194/hess-22-2117-2018
   Hughes DA, 2019, J HYDROL-REG STUD, V23, DOI 10.1016/j.ejrh.2019.100600
   Hyndman RJ, 2018, Forecasting: principles and practice, V2nd
   Jeniek M., 2007, P 1 SCI C INT CATCHM, P42
   Jones JB, 2016, STREAM ECOSYSTEMS IN A CHANGING ENVIRONMENT, P525, DOI 10.1016/B978-0-12-405890-3.00013-0
   Karamage F, 2017, WATER-SUI, V9, DOI 10.3390/w9020147
   Karamage F, 2017, FORESTS, V8, DOI 10.3390/f8020052
   Karamage P., 2016, Journal of Geoscience and Environment Protection, V4, P74, DOI [DOI 10.4236/GEP.2016.410005, 10.4236/gep.2016.410005]
   Knisel WG, 2012, T ASABE, V55, P1291
   Lehner B., 2008, EOS T AM GEOPHYSICAL, V89, P9394, DOI [10.1029/2008EO100001, DOI 10.1029/2008EO100001]
   Lim KJ, 2006, J AM WATER RESOUR AS, V42, P629, DOI 10.1111/j.1752-1688.2006.tb04481.x
   Matschullat Jorg, 2014, Environmental Earth Sciences, V72, P5235, DOI 10.1007/s12665-014-3655-1
   McNally A, 2017, SCI DATA, V4, DOI 10.1038/sdata.2017.12
   Melesse AM, 2002, COMPUT ELECTRON AGR, V37, P173, DOI 10.1016/S0168-1699(02)00111-4
   Messer E., 2001, Conflict, P1
   Mishra SK, 2006, HYDROL PROCESS, V20, P2755, DOI 10.1002/hyp.6066
   Molinaro AM, 2005, BIOINFORMATICS, V21, P3301, DOI 10.1093/bioinformatics/bti499
   Moriasi DN, 2007, T ASABE, V50, P885, DOI 10.13031/2013.23153
   Morrison F.A., 2020, OBTAINING UNCERTAINT
   Muhammad A, 2019, J HYDROL-REG STUD, V21, P40, DOI 10.1016/j.ejrh.2018.11.005
   Murray-Tortarolo G, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0190304
   Muschler R.G., 2016, TROPICAL FORESTRY HD, P6, DOI [10.1007/978-3-642-41554-8_300-1, DOI 10.1007/978-3-642-41554-8_300-1]
   Nash JE., 1970, Journal of Hydrology, V10, P282, DOI [DOI 10.1016/0022-1694(70)90255-6, 10.1016/0022-1694(70)90255-6]
   Nations U., 2017, World population projected to reach 9.8 billion in 2050, and 11.2 billion in 2100
   Niu WJ, 2018, J HYDROL ENG, V23, DOI 10.1061/(ASCE)HE.1943-5584.0001625
   Olang LO, 2011, HYDROL PROCESS, V25, P80, DOI 10.1002/hyp.7821
   Oyebande L, 2001, HYDROLOG SCI J, V46, P947, DOI 10.1080/02626660109492888
   Paul JD, 2014, TECTONICS, V33, P898, DOI 10.1002/2013TC003479
   Ramadan HH, 2012, HYDROLOG SCI J, V57, P1516, DOI 10.1080/02626667.2012.727212
   Rezaie-Balf M, 2018, HYDROL RES, V49, P939, DOI 10.2166/nh.2017.283
   Rodell M, 2004, B AM METEOROL SOC, V85, P381, DOI 10.1175/BAMS-85-3-381
   Salmi T., 2002, FINNISH METEOROLOGIC
   Sayre A.P, 1999, 21 CENTURY BOOKS
   Scharffenberg W.A., 2006, CPD74D USACE
   Schueler T., 2003, Impacts of Impervious Cover on Aquatic Systems
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Silveira L, 2000, HYDROLOG SCI J, V45, P3, DOI 10.1080/02626660009492302
   Singh V.P., 2013, WATER SCI TECHNOLOGY, V26, P303, DOI [10.1007/978-94-015-8745-7_11, DOI 10.1007/978-94-015-8745-7_11]
   Sjöman JD, 2014, URBAN FOR URBAN GREE, V13, P304, DOI 10.1016/j.ufug.2013.10.007
   SOLOMON SI, 1968, WATER RESOUR RES, V4, P919, DOI 10.1029/WR004i005p00919
   Srinivasan M. S., 2007, Journal of Hydrology (Wellington North), V46, P91
   Sumarauw J.S.F., 2012, INT J CIVIL ENV ENG, V12, P17
   Tarboton D.G., 2003, Rainfall-runoff processes
   Tian D, 2016, J GEOPHYS RES-ATMOS, V121, P8444, DOI 10.1002/2016JD025068
   Viessman W., 1977, Introduction to hydrology
   Wang X., 2011, APEX model upgrades, data inputs, and parameter settings for use in CEAP cropland modeling
   Wei W, 2016, EARTH-SCI REV, V159, P388, DOI 10.1016/j.earscirev.2016.06.010
   Weng QH, 2001, ENVIRON MANAGE, V28, P737, DOI 10.1007/s002670010258
   Wheater H, 2008, INT HYDROL SER, P1
   Williams JR, 2012, J HYDROL ENG, V17, P1221, DOI 10.1061/(ASCE)HE.1943-5584.0000529
   Xu Y, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0193073
   Yapo PO, 1996, J HYDROL, V181, P23, DOI 10.1016/0022-1694(95)02918-4
   Yeo IY, 2004, EARTH INTERACT, V8
   Yue S, 2003, J AM WATER RESOUR AS, V39, P587, DOI 10.1111/j.1752-1688.2003.tb03677.x
   Zhang Q, 2010, STOCH ENV RES RISK A, V24, P349, DOI 10.1007/s00477-009-0324-0
   Zhao FF, 2009, SCI CHINA SER E, V52, P3249, DOI 10.1007/s11431-009-0354-3
NR 112
TC 3
Z9 3
U1 0
U2 23
PU AMER METEOROLOGICAL SOC
PI BOSTON
PA 45 BEACON ST, BOSTON, MA 02108-3693, UNITED STATES
SN 1525-755X
EI 1525-7541
J9 J HYDROMETEOROL
JI J. Hydrometeorol.
PD AUG
PY 2021
VL 22
IS 8
BP 1949
EP 1971
DI 10.1175/JHM-D-20-0143.1
PG 23
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA TP5DX
UT WOS:000677620900001
DA 2025-01-10
ER

PT J
AU Mitic-Radulovic, A
   Lalovic, K
AF Mitic-Radulovic, Ana
   Lalovic, Ksenija
TI Multi-Level Perspective on Sustainability Transition towards
   Nature-Based Solutions and Co-Creation in Urban Planning of Belgrade,
   Serbia
SO SUSTAINABILITY
LA English
DT Article
DE co-creation; nature-based solutions; urban planning; multi-level
   perspective; sustainability transition
ID LIVING LABS; KNOWLEDGE
AB In recent years, nature-based solutions have been increasingly promoted as a climate change adaptation instrument, strongly advocated to be co-created. Achieving clear, coherent, and ambitious urban greening strategies, embedded in urban planning and developed in a co-creative, participatory and inclusive manner, is highly challenging within the EU enlargement context. In this article, such challenges are studied through two recent urban development initiatives in Belgrade, the Capital of Serbia: the first initiative focuses on planning the new Linear Park, within the framework of the CLEVER Cities Horizon 2020 project; the second initiative envisages the transformation of the privatised Avala Film Complex in the Kosutnjak Urban Forest, primarily led by private interests but supported by the local authorities. The multiple-case study research method is applied, with an exploratory purpose and as a basis for potential future research on evaluation of co-creation processes for NBS implementation. The theoretical basis of this article is founded in the research on sustainability transitions, focusing on multi-level perspective (MLP) framework. The urban planning system in Belgrade and Serbia is observed as a socio-technical regime of the MLP. In such framework, we recognize co-creative planning of the Linear Park as a niche innovation. We interpret opposition towards planning of the Avala Film Complex as escalation, or an extreme element of the socio-technical landscape, comprised of civic unrests and political tensions on one side, combined with the climate crisis and excessive pollution on the other side. Moreover, the article examines informal urban planning instruments that can be implemented by the practitioners of niche innovations, that could support urban planners and NBS advocates in the Serbian and EU enlargement contexts to face the challenges of motivating all stakeholders to proactively, constructively and appropriately engage in co-creation.
C1 [Mitic-Radulovic, Ana] Ctr Expt Urban Studies CEUS, Dalmatinska 70, Belgrade 11000, Serbia.
   [Lalovic, Ksenija] Univ Belgrade, Fac Architecture, Bulevar Kralja Aleksandra 73, Belgrade 11000, Serbia.
C3 University of Belgrade
RP Mitic-Radulovic, A (corresponding author), Ctr Expt Urban Studies CEUS, Dalmatinska 70, Belgrade 11000, Serbia.
EM ana.mitic-radulovic@ceus.rs; ksenija.lalovic@arh.bg.ac.rs
RI Lalovic, Ksenija/HHZ-9274-2022; Lalovic, Ksenija/D-1862-2014
OI Lalovic, Ksenija/0000-0001-7261-7921
FU European Union's Horizon 2020 innovation action program [776604]; H2020
   Societal Challenges Programme [776604] Funding Source: H2020 Societal
   Challenges Programme
FX This research was funded by the European Union's Horizon 2020 innovation
   action program under grant agreement number 776604.
CR Ahern J., 2007, CITIES FUTURE INTEGR, P267
   Aleksic B., 1978, PRILOG POSLEDIPLOMSK, P23
   [Anonymous], 2020, Nature-Based Solutions | Environment - Research and Innovation - European Commission
   [Anonymous], 2004, Understanding System Innovations: A Critical Literature Review and A Conceptual Synthesis
   [Anonymous], BEOGRAD NDM BGD SAK BEOGRAD NDM BGD SAK
   [Anonymous], 2015, EUROPEAN COMMISSION
   [Anonymous], 2020, NIN
   Avison D, 1999, COMMUN ACM, V42, P94, DOI 10.1145/291469.291479
   Benedict M. A., 2002, Renewable Resources Journal, V20, P12
   Bergvall-Kareborn B., P HAWAII INT C SYSTE
   Bulkeley H, 2016, CURR OPIN ENV SUST, V22, P13, DOI 10.1016/j.cosust.2017.02.003
   Bylund J., 2022, URBAN TRANSFORM, V4, P8, DOI [10.1186/s42854-022-00037-5, DOI 10.1186/S42854-022-00037-5]
   Chatzimentor A, 2020, LANDSCAPE URBAN PLAN, V198, DOI 10.1016/j.landurbplan.2020.103775
   Danilovic Hristic N., 2013, SPATIUM INT REV, V30, P1, DOI [10.2298/SPAT1330033D, DOI 10.2298/SPAT1330033D]
   ENoLL, 2020, Living Lab Handbook for urban living labs developing nature-based solutions
   Ernst L, 2016, J CLEAN PROD, V112, P2988, DOI 10.1016/j.jclepro.2015.10.136
   Escobedo FJ, 2019, URBAN FOR URBAN GREE, V37, P3, DOI 10.1016/j.ufug.2018.02.011
   Frantzeskaki N, 2016, ENVIRON SCI POLICY, V62, P90, DOI 10.1016/j.envsci.2016.01.010
   Fritz M, 2017, THEOR PRACT URB SUST, P1, DOI 10.1007/978-3-319-56091-5_1
   Geels FW, 2011, ENVIRON INNOV SOC TR, V1, P24, DOI 10.1016/j.eist.2011.02.002
   Geels FW, 2010, RES POLICY, V39, P495, DOI 10.1016/j.respol.2010.01.022
   Ilic Sasa, 2020, PESCANIK
   International Union for Conservation of Nature (IUCN), 2020, IUCN Global Standard for Nature-Based Solutions: A User-Friendly Framework for the Verification, Design and Scaling up of NbS, V1st ed.
   Jorgensen U, 2012, RES POLICY, V41, P996, DOI 10.1016/j.respol.2012.03.001
   Jovanovic D., 2020, BITKA KO UTNJAK PRED
   Lawhon M, 2012, PROG HUM GEOG, V36, P354, DOI 10.1177/0309132511427960
   Loorbach D, 2017, ANNU REV ENV RESOUR, V42, P599, DOI 10.1146/annurev-environ-102014-021340
   MacDonald C., 2012, CANADIAN J ACTION RE, V13, P34, DOI DOI 10.33524/CJAR.V13I2.37
   Mahmoud I., 2018, Urban. Inf., V278, P204
   Mahmoud I., 2021, SMART SUSTAINABLE PL, P259, DOI [10.1007/978-3-030-57764-, DOI 10.1007/978-3-030-57764]
   Markard J, 2008, RES POLICY, V37, P596, DOI 10.1016/j.respol.2008.01.004
   MARTINOVIC Marija, 2020, PhD thesis
   Mauser W, 2013, CURR OPIN ENV SUST, V5, P420, DOI 10.1016/j.cosust.2013.07.001
   Mladenovic M., 2020, GRADNJA
   Mladenovic M., 2020, GRADNJA
   Momilovic P., 2020, SLUCAJ KO UTNJAK TRA SLUCAJ KO UTNJAK TRA
   Morello E., 2020, ENERGY URBAN PLANNIN
   Muibabic D., 2020, POLITIKA
   Muibabic D., 2020, RESENJE LINIJSKI PAR RESENJE LINIJSKI PAR
   Radonjic M., 2019, BLIC
   Rowley J., 2002, Manag. Res. News, V25, P16, DOI [DOI 10.1108/01409170210782990, 10.1108/01409170210782990]
   Smith A, 2007, TECHNOL ANAL STRATEG, V19, P427, DOI 10.1080/09537320701403334
   Steen K., 2017, URBAN LIVING LABS A
   Steen K, 2017, TECHNOL INNOV MANAG, V7, P21
   Voytenko Y, 2016, J CLEAN PROD, V123, P45, DOI 10.1016/j.jclepro.2015.08.053
   Vujosevic M, 2012, EUR PLAN STUD, V20, P1707, DOI 10.1080/09654313.2012.713330
   Wieczorek AJ, 2010, PRINCIPLES OF ENVIRONMENTAL SCIENCES, P503
   Yin R.K., 1984, CASE STUDY RES
   Zekovic S, 2015, HABITAT INT, V48, P65, DOI 10.1016/j.habitatint.2015.03.010
NR 49
TC 17
Z9 17
U1 3
U2 38
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JUL
PY 2021
VL 13
IS 14
AR 7576
DI 10.3390/su13147576
PG 21
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA TO5LP
UT WOS:000676953200001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Liu, YJ
   Zhang, J
   Pan, T
   Ge, QS
AF Liu, Yujie
   Zhang, Jie
   Pan, Tao
   Ge, Quansheng
TI Assessing the adaptability of maize phenology to climate change: The
   role of anthropogenic-management practices
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Maize phenology; Anthropogenic-management practices; Climate change;
   First-order difference regression model; China
ID NORTH CHINA PLAIN; CROP MANAGEMENT; WHEAT PHENOLOGY; WINTER-WHEAT;
   SOWING DATE; YIELD; IMPACTS; TEMPERATURE; CULTIVAR; RICE
AB Phenology has been regarded as an essential bio-indicator of climate change widely. Quantifying the crop phenological changes caused by climate change and anthropogenic-management practices can help formulate effective climate change adaptation strategies. In this study, the effects of climate change and anthropogenicmanagement practices on maize phenology (spring, summer, and intercropping maize) in China were distinguished based on historical meteorological and phenological data (1981-2010) of 114 stations using the firstorder difference regression method. Our results show: (1) The vegetative growing period of spring and intercropping maize was extended, whereas that of summer maize was shortened. The reproductive growing periods of spring, summer, and intercropping maize were extended. (2) Isolated impacts of climate change shortened the vegetative growing period of spring maize, summer maize, and intercropping maize by 0.19, 1.06, and 3.12 d decade 1, respectively, while the reproductive growing period was extended by 0.19, 0.74, and 3.47 d decade 1, respectively. (3) The contribution of temperature to maize phenology was greater in the northwest inland maize zone and north spring maize zone than in other regions, whereas the contribution of sunshine hours was higher in Huang-Huai Plain intercropping maize zone and the southwest mountain hills maize zone. (4) The effects of anthropogenic-management practices on maize phenological stages such as sowing, emergence, and maturity were generally greater than that of climate change, which has delayed the phenological stages of summer and intercropping maize and extended the growing period of spring maize. The focus should be paid to the emergence, jointing, and milky stages to increase the water use efficiency in the northwest inland maize zone. The findings provide a scientific basis for improving the adaptability of agricultural systems in climate change.
C1 [Liu, Yujie; Zhang, Jie; Pan, Tao; Ge, Quansheng] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China.
   [Liu, Yujie; Zhang, Jie; Pan, Tao; Ge, Quansheng] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS; Chinese Academy of Sciences; University of
   Chinese Academy of Sciences, CAS
RP Liu, YJ (corresponding author), 11A Datun Rd, Beijing, Peoples R China.
EM liuyujie@igsnrr.ac.cn
RI Liu, Yu-Jie/JTS-3401-2023
OI Ge, Quansheng/0000-0001-8712-8565
FU Strategic Priority Research Program of the Chinese Academy of Sciences
   [XDA20040301]; National Key Research and Development Program of China
   [2018YFA0606102]; Youth Innovation Promotion Association, CAS [Y202016];
   Program for "Kezhen" Excellent Talents in IGSNRR, CAS [2017RC101]
FX This study was supported by the Strategic Priority Research Program of
   the Chinese Academy of Sciences [Grant No. XDA20040301], the National
   Key Research and Development Program of China [Grant No.
   2018YFA0606102], the Youth Innovation Promotion Association, CAS [Grant
   No. Y202016], and the Program for "Kezhen" Excellent Talents in IGSNRR,
   CAS [Grant No. 2017RC101]. We also thank the China Meteorological
   Administration for providing data support.
CR Abbas G, 2017, AGR FOREST METEOROL, V247, P42, DOI 10.1016/j.agrformet.2017.07.012
   Abendroth LJ, 2021, GLOBAL CHANGE BIOL, V27, P2426, DOI 10.1111/gcb.15565
   Aggarwal PK, 2002, CLIMATIC CHANGE, V52, P331, DOI 10.1023/A:1013714506779
   Ahmad S, 2019, FIELD CROP RES, V230, P46, DOI 10.1016/j.fcr.2018.10.008
   Aldieri L, 2020, J CLEAN PROD, V271, DOI 10.1016/j.jclepro.2020.122729
   Azadi Y, 2019, J ENVIRON MANAGE, V250, DOI 10.1016/j.jenvman.2019.109456
   Bisbis MB, 2018, J CLEAN PROD, V170, P1602, DOI 10.1016/j.jclepro.2017.09.224
   Buermann W, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/2/024027
   Challinor AJ, 2014, NAT CLIM CHANGE, V4, P287, DOI [10.1038/nclimate2153, 10.1038/NCLIMATE2153]
   Chu Z, 2017, J GEOGR SCI, V27, P1044, DOI 10.1007/s11442-017-1420-6
   Devkota KP, 2015, FIELD CROP RES, V179, P81, DOI 10.1016/j.fcr.2015.04.013
   Devries ME, 2011, EXP AGR, V47, P69, DOI 10.1017/S0014479710001328
   Du X.H., 2021, SHANXI ARCH, V11, P1
   Fu YSH, 2014, P NATL ACAD SCI USA, V111, P7355, DOI 10.1073/pnas.1321727111
   Gornott C, 2016, AGR FOREST METEOROL, V217, P89, DOI 10.1016/j.agrformet.2015.10.005
   Hasan MK, 2019, J ENVIRON MANAGE, V237, P54, DOI 10.1016/j.jenvman.2019.02.028
   He L, 2020, SCI TOTAL ENVIRON, V707, DOI 10.1016/j.scitotenv.2019.135638
   He L, 2015, AGR FOREST METEOROL, V200, P135, DOI 10.1016/j.agrformet.2014.09.011
   He QJ, 2019, SCI BULL, V64, P690, DOI 10.1016/j.scib.2019.03.030
   Hu XY, 2017, AGR FOREST METEOROL, V247, P34, DOI 10.1016/j.agrformet.2017.07.014
   Huang J, 2015, INT J BIOMETEOROL, V59, P877, DOI 10.1007/s00484-014-0904-7
   Hunt JR, 2019, NAT CLIM CHANGE, V9, P244, DOI 10.1038/s41558-019-0417-9
   Kaur H, 2019, J AGROMETEOROL, V21, P46
   Li Jiansheng, 2009, P563, DOI 10.1007/978-0-387-79418-1_28
   Li YB, 2020, AGR ECOSYST ENVIRON, V295, DOI 10.1016/j.agee.2020.106923
   Li ZG, 2014, REG ENVIRON CHANGE, V14, P39, DOI 10.1007/s10113-013-0503-x
   Liao CH, 2019, SCI TOTAL ENVIRON, V650, P1707, DOI 10.1016/j.scitotenv.2018.09.308
   Liu B, 2016, NAT CLIM CHANGE, V6, P1130, DOI 10.1038/NCLIMATE3115
   Liu CM, 2001, WATER INT, V26, P265, DOI 10.1080/02508060108686913
   Liu L, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0080990
   Liu YA, 2010, GLOBAL CHANGE BIOL, V16, P2287, DOI 10.1111/j.1365-2486.2009.02077.x
   Liu YJ, 2021, J SCI FOOD AGR, V101, P3644, DOI 10.1002/jsfa.10993
   Liu YJ, 2018, SCI CHINA EARTH SCI, V61, P1088, DOI 10.1007/s11430-017-9149-0
   Liu YJ, 2017, J GEOGR SCI, V27, P1072, DOI 10.1007/s11442-017-1422-4
   Liu ZJ, 2013, GLOBAL CHANGE BIOL, V19, P3481, DOI 10.1111/gcb.12324
   Lizaso JI, 2018, FIELD CROP RES, V216, P129, DOI 10.1016/j.fcr.2017.11.013
   Lobell DB, 2007, ENVIRON RES LETT, V2, DOI 10.1088/1748-9326/2/1/014002
   Masud MM, 2017, J CLEAN PROD, V156, P698, DOI 10.1016/j.jclepro.2017.04.060
   Mendoza I, 2017, GLOBAL PLANET CHANGE, V148, P227, DOI 10.1016/j.gloplacha.2016.12.001
   Mo F, 2016, FIELD CROP RES, V196, P337, DOI 10.1016/j.fcr.2016.06.024
   Oteros J, 2015, CLIMATIC CHANGE, V130, P545, DOI 10.1007/s10584-015-1363-9
   Pierre C, 2016, GLOBAL PLANET CHANGE, V143, P162, DOI 10.1016/j.gloplacha.2016.06.009
   Renard D, 2019, NATURE, V571, P257, DOI 10.1038/s41586-019-1316-y
   Rezaei EE, 2017, AGR FOREST METEOROL, V233, P55, DOI 10.1016/j.agrformet.2016.11.003
   Rezaei EE, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/2/024012
   Richardson AD, 2013, AGR FOREST METEOROL, V169, P156, DOI 10.1016/j.agrformet.2012.09.012
   Rosenzweig C., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P855, DOI 10.1007/s11027-007-9103-8
   Sacks WJ, 2011, AGR FOREST METEOROL, V151, P882, DOI 10.1016/j.agrformet.2011.02.010
   Siebert S, 2012, AGR FOREST METEOROL, V152, P44, DOI 10.1016/j.agrformet.2011.08.007
   Sloat LL, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15076-4
   Verón SR, 2015, CLIMATIC CHANGE, V130, P235, DOI 10.1007/s10584-015-1350-1
   Wang H, 2020, J ENVIRON MANAGE, V262, DOI 10.1016/j.jenvman.2020.110331
   Wang N, 2018, AGR FOREST METEOROL, V250, P319, DOI 10.1016/j.agrformet.2018.01.005
   Wang RY, 2004, ACTA BOT SIN, V46, P1387
   Wang XH, 2017, AGR FOREST METEOROL, V233, P1, DOI 10.1016/j.agrformet.2016.10.016
   Xiao DP, 2016, INT J BIOMETEOROL, V60, P1111, DOI 10.1007/s00484-015-1104-9
   Xu XJ, 2019, J ENVIRON MANAGE, V246, P605, DOI 10.1016/j.jenvman.2019.06.023
   Zhang F, 2019, J CLEAN PROD, V233, P100, DOI 10.1016/j.jclepro.2019.06.051
   Zhang TY, 2015, SCI TOTAL ENVIRON, V508, P331, DOI 10.1016/j.scitotenv.2014.12.004
   Zhou G, 2014, AGR ADDRESSING CLIMA
   Zhu P, 2021, GLOBAL CHANGE BIOL, V27, P550, DOI 10.1111/gcb.15427
NR 61
TC 23
Z9 25
U1 11
U2 123
PU ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
PI LONDON
PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
SN 0301-4797
EI 1095-8630
J9 J ENVIRON MANAGE
JI J. Environ. Manage.
PD SEP 1
PY 2021
VL 293
AR 112874
DI 10.1016/j.jenvman.2021.112874
EA MAY 2021
PG 11
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA TR7VI
UT WOS:000679169100004
PM 34058454
DA 2025-01-10
ER

PT J
AU Soper, FM
   MacKenzie, RA
   Sharma, S
   Cole, TG
   Litton, CM
   Sparks, JP
AF Soper, Fiona M.
   MacKenzie, Richard A.
   Sharma, Sahadev
   Cole, Thomas G.
   Litton, Creighton M.
   Sparks, Jed P.
TI Non-native mangroves support carbon storage, sediment carbon burial, and
   accretion of coastal ecosystems
SO GLOBAL CHANGE BIOLOGY
LA English
DT Article
DE Pb-210; methane; Moloka'i; non-native species; restoration; Rhizophora
   mangle; sediment
ID RHIZOPHORA-MANGLE; FORESTS; DEFORESTATION; EMISSIONS; IMPACTS
AB Mangrove forests play an important role in climate change adaptation and mitigation by maintaining coastline elevations relative to sea level rise, protecting coastal infrastructure from storm damage, and storing substantial quantities of carbon (C) in live and detrital pools. Determining the efficacy of mangroves in achieving climate goals can be complicated by difficulty in quantifying C inputs (i.e., differentiating newer inputs from younger trees from older residual C pools), and mitigation assessments rarely consider potential offsets to CO2 storage by methane (CH4) production in mangrove sediments. The establishment of non-native Rhizophora mangle along Hawaiian coastlines over the last century offers an opportunity to examine the role mangroves play in climate mitigation and adaptation both globally and locally as novel ecosystems. We quantified total ecosystem C storage, sedimentation, accretion, sediment organic C burial and CH4 emissions from similar to 70 year old R. mangle stands and adjacent uninvaded mudflats. Ecosystem C stocks of mangrove stands exceeded mudflats by 434 +/- 33 Mg C/ha, and mangrove establishment increased average coastal accretion by 460%. Sediment organic C burial increased 10-fold (to 4.5 Mg C ha(-1) year(-1)), double the global mean for old growth mangrove forests, suggesting that C accumulation from younger trees may occur faster than previously thought, with implications for mangrove restoration. Simulations indicate that increased CH4 emissions from sediments offset ecosystem CO2 storage by only 2%-4%, equivalent to 30-60 Mg CO2-eq/ha over mangrove lifetime (100 year sustained global warming potential). Results highlight the importance of mangroves as novel systems that can rapidly accumulate C, have a net positive atmospheric greenhouse gas removal effect, and support shoreline accretion rates that outpace current sea level rise. Sequestration potential of novel mangrove forests should be taken into account when considering their removal or management, especially in the context of climate mitigation goals.
C1 [Soper, Fiona M.; Sparks, Jed P.] Cornell Univ, Dept Ecol & Evolutionary Biol, Ithaca, NY USA.
   [MacKenzie, Richard A.] US Forest Serv, Inst Pacific Isl Forestry, Pacific Southwest Res Stn, USDA, Hilo, HI 96720 USA.
   [Sharma, Sahadev; Cole, Thomas G.; Litton, Creighton M.] Univ Hawaii Manoa, Dept Nat Resources & Environm Management, Honolulu, HI 96822 USA.
   [Sharma, Sahadev] Univ Malaya, Inst Ocean & Earth Sci, Kuala Lumpur, Malaysia.
C3 Cornell University; United States Department of Agriculture (USDA);
   United States Forest Service; University of Hawaii System; University of
   Hawaii Manoa; Universiti Malaya
RP MacKenzie, RA (corresponding author), US Forest Serv, Inst Pacific Isl Forestry, Pacific Southwest Res Stn, USDA, Hilo, HI 96720 USA.
EM richard.mackenzie@usda.gov
RI SHARMA, SAHADEV/W-9629-2019; SHARMA, SAHADEV/H-8737-2018
OI SHARMA, SAHADEV/0000-0001-7602-7419; Soper, Fiona/0000-0002-9910-9377
FU USDA Pacific Southwest Research Station; United States Agency for
   International Development; University of Hawai'i [HAW01127H, HAW01123M]
FX USDA Pacific Southwest Research Station; United States Agency for
   International Development; University of Hawai'i, Grant/Award Numbers:
   HAW01127H and HAW01123M
CR Adame MF, 2018, OCEAN COAST MANAGE, V161, P117, DOI 10.1016/j.ocecoaman.2018.04.019
   Ahmed N, 2016, MAR POLICY, V66, P58, DOI 10.1016/j.marpol.2016.01.011
   Allen JA, 1998, GLOBAL ECOL BIOGEOGR, V7, P61, DOI 10.2307/2997698
   Alongi DM, 2015, AGR FOREST METEOROL, V213, P266, DOI 10.1016/j.agrformet.2014.10.005
   Alongi DM, 2014, ANNU REV MAR SCI, V6, P195, DOI 10.1146/annurev-marine-010213-135020
   Alongi DM, 2012, CARBON MANAG, V3, P313, DOI [10.4155/cmt.12.20, 10.4155/CMT.12.20]
   Alongi DM, 1998, J EXP MAR BIOL ECOL, V225, P197, DOI 10.1016/S0022-0981(97)00223-2
   Anderson TR, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-32658-x
   [Anonymous], 2017, TID CURR
   Appleby P.G., 1978, Catena, V5, P1, DOI DOI 10.1016/S0341-8162(78)80002-2
   Breithaupt JL, 2014, J GEOPHYS RES-BIOGEO, V119, P2032, DOI 10.1002/2014JG002715
   Chimner RA, 2006, PAC SCI, V60, P377, DOI 10.1353/psc.2006.0013
   Cox EF, 1999, ESTUARIES, V22, P276, DOI 10.2307/1352983
   Crooks S., 2011, MITIGATING CLIMATE C
   Davidson IC, 2018, GLOBAL CHANGE BIOL, V24, P5218, DOI 10.1111/gcb.14426
   DelVecchia AG, 2014, PEERJ, V2, DOI 10.7717/peerj.388
   Demopoulos AWJ, 2007, OECOLOGIA, V153, P675, DOI 10.1007/s00442-007-0751-x
   Demopoulos AWJ, 2010, MAR ECOL PROG SER, V404, P51, DOI 10.3354/meps08483
   Diorio MM., 2003, THESIS
   Donato DC, 2011, NAT GEOSCI, V4, P293, DOI [10.1038/NGEO1123, 10.1038/ngeo1123]
   Dutta MK, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00187
   Fronda R., 2008, REMOVAL ALIEN RED MA
   Furukawa K, 1997, ESTUAR COAST SHELF S, V44, P301, DOI 10.1006/ecss.1996.0120
   Furukawa Keita., 1996, Mangroves and Salt Marshes, V1, P3, DOI [10.1023/A:1025973426404, DOI 10.1023/A:1025973426404]
   Goecke SD, 2017, HYDROBIOLOGIA, V803, P209, DOI 10.1007/s10750-017-3182-7
   Grossman E. E., 2002, US GEOLOGICAL SURV I, VI-2761, DOI [10.3133/i2761, DOI 10.3133/I2761]
   Hobbs RJ, 2014, FRONT ECOL ENVIRON, V12, P557, DOI 10.1890/130300
   Hobbs RJ, 2009, TRENDS ECOL EVOL, V24, P599, DOI 10.1016/j.tree.2009.05.012
   Hoque M.M., 2015, MALAYS J SCI, V34, P78, DOI [10.22452/mjs.vol34no1.8, DOI 10.22452/MJS.VOL34NO1.8]
   Kauffman J.B., 2012, PROTOCOLS MEASUREMEN, DOI DOI 10.17528/CIFOR/003749
   Kauffman JB, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0187749
   Kauffman JB, 2017, FRONT ECOL ENVIRON, V15, P183, DOI 10.1002/fee.1482
   Kauffman JB, 2014, ECOL APPL, V24, P518, DOI 10.1890/13-0640.1
   Kauffman JB, 2011, WETLANDS, V31, P343, DOI 10.1007/s13157-011-0148-9
   Krauss KW, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-01224-2
   Krauss KW, 2014, NEW PHYTOL, V202, P19, DOI 10.1111/nph.12605
   Lang'at JKS, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0107868
   Lewis C., 2000, THESIS
   MacKenzie RA, 2016, WETL ECOL MANAG, V24, P245, DOI 10.1007/s11273-016-9481-3
   MacKenzie RA, 2013, MAR ECOL PROG SER, V472, P219, DOI 10.3354/meps09961
   Maher DT, 2018, BIOL LETTERS, V14, DOI 10.1098/rsbl.2018.0200
   Neubauer SC, 2015, ECOSYSTEMS, V18, P1000, DOI 10.1007/s10021-015-9879-4
   Osland MJ, 2012, ECOSYSTEMS, V15, P848, DOI 10.1007/s10021-012-9551-1
   Pendleton L, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0043542
   Rauzon M.J., 2002, TURNING TIDE ERADICA, P240
   Ren H, 2009, ECOL ENG, V35, P1243, DOI 10.1016/j.ecoleng.2009.05.008
   Robertson A., 2008, TROPICAL MANGROVE EC, P293
   Romañach SS, 2018, OCEAN COAST MANAGE, V154, P72, DOI 10.1016/j.ocecoaman.2018.01.009
   Rosentreter JA, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aao4985
   Santos IR, 2019, LIMNOL OCEANOGR, V64, P996, DOI 10.1002/lno.11090
   Sea MA, 2018, BIOGEOSCIENCES, V15, P5365, DOI 10.5194/bg-15-5365-2018
   Selmants P. C., 2017, US GEOLOGICAL SURVEY, V1834, P75
   Sweetman AK, 2010, BIOGEOSCIENCES, V7, P2129, DOI 10.5194/bg-7-2129-2010
   van Maanen B, 2015, P ROY SOC A-MATH PHY, V471, DOI 10.1098/rspa.2015.0115
   World Health Organization, 2017, Tech. Rep.
NR 55
TC 41
Z9 46
U1 3
U2 134
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1354-1013
EI 1365-2486
J9 GLOBAL CHANGE BIOL
JI Glob. Change Biol.
PD DEC
PY 2019
VL 25
IS 12
BP 4315
EP 4326
DI 10.1111/gcb.14813
EA OCT 2019
PG 12
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA JK2QO
UT WOS:000488350600001
PM 31465581
DA 2025-01-10
ER

PT J
AU Metsaranta, JM
AF Metsaranta, Juha M.
TI Long-term tree-ring derived carbon dynamics of an experimental
   plantation in relation to species and density in Northwestern Ontario,
   Canada
SO FOREST ECOLOGY AND MANAGEMENT
LA English
DT Article
DE Afforestation; CBM-CFS3; Climate change mitigation; Climate change
   adaptation; Dendrochronology; Boreal forest; Net ecosystem production;
   Tree-ring analysis; Wood production
ID LAND-USE CHANGE; WHITE SPRUCE PLANTATIONS; NET PRIMARY PRODUCTIVITY; RED
   PINE PLANTATIONS; CLIMATE-CHANGE; BLACK SPRUCE; JACK PINE; FOREST
   MANAGEMENT; ECOSYSTEM PRODUCTION; AGRICULTURAL LAND
AB Afforestation can result in significant accumulations of carbon (C) in both soils and vegetation, which can make an important contribution to GHG emission mitigation. However, there remains a critical knowledge gap about ecosystem C stocks and fluxes at afforested sites, which is required in order to understand the effect of management choices like species selection and initial planting density. A hybrid biometric modelling approach was used to reconstruct ecosystem C stocks and fluxes at an experimental spacing trial consisting of three species (red pine, white spruce, and black spruce) planted at three densities, 63 years after it was established on former agricultural land in Northwestern Ontario, Canada. Wood volume and increment were larger for closer spacing and for red pine relative to black or white spruce, and translated to analogous differences in estimates of ecosystem C dynamics. At young ages, net ecosystem production was largest at close spacing, but this difference attenuated over time and was similar in recent decades regardless of initial spacing. Estimated carbon stock and flux values were generally congruent with available estimates from independent studies at analogous sites, with the exception of litterfall which showed greater differences. Plots at the site were estimated to be C sinks on an annual basis immediately after establishment under the assumption that the site was previously under long-term agricultural land use, but anywhere from 10 to 20 years following establishment if the site was modelled as if it was a stand in the managed forest historically subject to natural disturbance regimes.
C1 [Metsaranta, Juha M.] Nat Resources Canada, Canadian Forest Serv, Northern Forestry Ctr, 5320 122 St, Edmonton, AB T6H 3S5, Canada.
C3 Natural Resources Canada; Canadian Forest Service
RP Metsaranta, JM (corresponding author), Nat Resources Canada, Canadian Forest Serv, Northern Forestry Ctr, 5320 122 St, Edmonton, AB T6H 3S5, Canada.
EM juha.metsaranta@canada.ca
OI Metsaranta, Juha/0000-0003-0450-3783
FU Canadian Forest Service of Natural Resources Canada
FX Funding for the study was provided by the Canadian Forest Service of
   Natural Resources Canada. Mihai Voicu and Stephen Kull conducted the
   field work, while Laura Stanton and Edith Li performed the tree-ring
   sample processing and measurement. Permission to sample this study site
   was provided by Ontario Ministry of Natural Resources and Forestry. As
   with all long-term forestry studies, this research was only possible
   through the foresight of those who have proceeded us in establishing and
   maintaining long-term research installations. In particular, I would
   like to acknowledge the late Frank Lyon, research scientist with the
   Northern Forest Research Unit (NFRU) of the Ontario Ministry of Natural
   Resources (historically the Department of Lands and Forests) who oversaw
   the establishment of this research trial many decades ago. Carolyn Smyth
   and two anonymous reviewers provided helpful comments that greatly
   improved the manuscript.
CR ALEMDAG IS, 1982, FOREST CHRON, V58, P220, DOI 10.5558/tfc58220-5
   Allard J, 2013, CAN J FOREST RES, V43, P768, DOI 10.1139/cjfr-2013-0100
   Amiro BD, 2010, J GEOPHYS RES-BIOGEO, V115, DOI 10.1029/2010JG001390
   [Anonymous], MX140 ENV CAN CAN FO
   [Anonymous], 2009, Technical Report SIB TER IMA TR- 01
   Astrup R, 2018, NAT CLIM CHANGE, V8, P11, DOI 10.1038/s41558-017-0043-3
   Bárcena TG, 2014, GLOBAL CHANGE BIOL, V20, P2393, DOI 10.1111/gcb.12576
   Barrette M, 2014, FOREST CHRON, V90, P748, DOI 10.5558/tfc2014-147
   Bather J., 2013, FORESTORY, V1, P29
   Bergeron O., 2008, AG FOR MET, V171-172, P31
   Bernier PY, 2007, CAN J FOREST RES, V37, P1024, DOI 10.1139/X06-284
   Bird D. N., 2007, 5 ONT MIN NAT RES CL
   Bona KA, 2013, ECOSYSTEMS, V16, P1071, DOI 10.1007/s10021-013-9668-x
   Bonifacio C, 2015, COMPUT GEOSCI-UK, V75, P13, DOI 10.1016/j.cageo.2014.10.010
   Borczon E.L., 1982, EVERGREEN CHALLENGE
   Boudewyn P., 2007, Information Report BC-X-411
   Boulanger Y, 2017, CAN J FOREST RES, V47, P755, DOI 10.1139/cjfr-2016-0445
   Campioli M, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms13717
   Chan FCC, 2018, FOREST ECOL MANAG, V410, P12, DOI 10.1016/j.foreco.2017.12.024
   Chen HYH, 2017, ECOSYSTEMS, V20, P830, DOI 10.1007/s10021-016-0063-2
   Chen WJ, 2002, CAN J FOREST RES, V32, P833, DOI [10.1139/x01-165, 10.1139/X01-165]
   Clark DA, 2001, ECOL APPL, V11, P356, DOI 10.1890/1051-0761(2001)011[0356:MNPPIF]2.0.CO;2
   D'Amato AW, 2011, FOREST ECOL MANAG, V262, P803, DOI 10.1016/j.foreco.2011.05.014
   Dalsgaard L, 2016, CAN J FOREST RES, V46, P1413, DOI 10.1139/cjfr-2015-0466
   Foote RL, 2010, ECOSYSTEMS, V13, P795, DOI 10.1007/s10021-010-9355-0
   Fowler G. W., 1988, Northern Journal of Applied Forestry, V5, P28
   Furze S., 2017, Open Journal of Forestry, V7, P209, DOI 10.4236/ojf.2017.72013
   Gahagan A, 2015, FOREST ECOL MANAG, V337, P88, DOI 10.1016/j.foreco.2014.10.037
   Gizachew B, 2012, SCAND J FOREST RES, V27, P637, DOI 10.1080/02827581.2012.693191
   Gordon AM, 2000, FOREST ECOL MANAG, V138, P65, DOI 10.1016/S0378-1127(00)00412-6
   Guo LB, 2002, GLOBAL CHANGE BIOL, V8, P345, DOI 10.1046/j.1354-1013.2002.00486.x
   HAYNES BE, 1995, TREE PHYSIOL, V15, P317, DOI 10.1093/treephys/15.5.317
   Hébert F, 2016, FORESTS, V7, DOI 10.3390/f7110276
   Homagain K, 2011, FOREST CHRON, V87, P494, DOI 10.5558/tfc2011-048
   Huang S., 1994, 3 ALB ENV PROT LAND
   Hunt SL, 2010, SILVA FENN, V44, P563, DOI 10.14214/sf.128
   King JS, 2007, CAN J FOREST RES, V37, P93, DOI 10.1139/X06-217
   Kull S.J., 2016, Operational-scale carbon budget model of the Canadian Forest sector (CBM-CFS3) version 1.2: User's guide
   Kurz WA, 2009, ECOL MODEL, V220, P480, DOI 10.1016/j.ecolmodel.2008.10.018
   Kurz W.A., 1998, MITIG ADAPT STRAT GL, V2, P405
   Laganière J, 2015, FOREST ECOL MANAG, V354, P119, DOI 10.1016/j.foreco.2015.06.029
   Laganière J, 2010, GLOBAL CHANGE BIOL, V16, P439, DOI 10.1111/j.1365-2486.2009.01930.x
   Lavigne MB, 2005, CAN J FOREST RES, V35, P3027, DOI 10.1139/X05-275
   Lavigne MB, 2005, CAN J FOREST RES, V35, P1193, DOI 10.1139/X05-052
   Lemprière TC, 2013, ENVIRON REV, V21, P293, DOI 10.1139/er-2013-0039
   Li Z, 2003, CAN J FOREST RES, V33, P126, DOI 10.1139/X02-165
   Lundmark T, 2018, CAN J FOREST RES, V48, P672, DOI 10.1139/cjfr-2017-0410
   MacLean DA, 2015, FOREST CHRON, V91, P161, DOI 10.5558/tfc2015-027
   Magruder M, 2013, CAN J FOREST RES, V43, P878, DOI 10.1139/cjfr-2013-0088
   Majumdar I, 2017, FOREST CHRON, V93, P21, DOI 10.5558/tfc2017-007
   Mallik AU, 2008, J FOREST, V106, P83
   Marchand W, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aad82a
   MCCLAIN KM, 1994, FOREST CHRON, V70, P174, DOI 10.5558/tfc70174-2
   Metsaranta JM, 2018, FOREST ECOL MANAG, V429, P57, DOI 10.1016/j.foreco.2018.06.040
   Metsaranta JM, 2017, CAN J FOREST RES, V47, P1082, DOI 10.1139/cjfr-2017-0088
   Metsaranta JM, 2012, ECOL MODEL, V224, P111, DOI 10.1016/j.ecolmodel.2011.10.026
   Metsaranta JM, 2008, FOREST ECOL MANAG, V255, P1262, DOI 10.1016/j.foreco.2007.10.030
   Metsaranta JM, 2016, FORESTS, V7, DOI 10.3390/f7120303
   Metsaranta JM, 2009, FORESTRY, V82, P163, DOI 10.1093/forestry/cpn051
   Morris DM, 2014, ECOSCIENCE, V21, P1, DOI 10.2980/21-1-3646
   Ouimet R, 2007, CAN J FOREST RES, V37, P1118, DOI 10.1139/X06-297
   Paquette A, 2018, ECOSYSTEMS, V21, P960, DOI 10.1007/s10021-017-0196-y
   Paquette A, 2010, FRONT ECOL ENVIRON, V8, P27, DOI 10.1890/080116
   Park A, 2007, FOREST CHRON, V83, P825, DOI 10.5558/tfc83825-6
   Park A, 2015, FOREST ECOL MANAG, V340, P70, DOI 10.1016/j.foreco.2014.12.011
   Park A, 2014, CRIT REV PLANT SCI, V33, P251, DOI 10.1080/07352689.2014.858956
   Parker W. C., 2009, 10 ONT MIN NAT RES
   Parker WC, 2001, FOREST CHRON, V77, P721, DOI 10.5558/tfc77721-4
   Pawson SM, 2013, BIODIVERS CONSERV, V22, P1203, DOI 10.1007/s10531-013-0458-8
   Pawson S. M., 2014, BIODIVERS CONSERV, V22, P1203
   Payeur-Poirier JL, 2012, AGR FOREST METEOROL, V153, P94, DOI 10.1016/j.agrformet.2011.07.009
   Peng C., 1999, 155 ONT FOR RES INT
   Penner M, 2008, FOREST CHRON, V84, P704, DOI 10.5558/tfc84704-5
   Petals D. A., 1982, PLANT SOIL, V64, P177
   Post WM, 2000, GLOBAL CHANGE BIOL, V6, P317, DOI 10.1046/j.1365-2486.2000.00308.x
   Powers M, 2018, FORESTS, V9, DOI 10.3390/f9010016
   Puettmann KJ, 2015, FOR ECOSYST, V2, DOI 10.1186/s40663-015-0031-x
   Sangari M. A., 1993, THESIS
   Seedre M, 2014, ECOSYSTEMS, V17, P851, DOI 10.1007/s10021-014-9763-7
   Sharma M, 2007, FOREST ECOL MANAG, V249, P187, DOI 10.1016/j.foreco.2007.05.006
   Shaw CH, 2014, ECOL MODEL, V272, P323, DOI 10.1016/j.ecolmodel.2013.10.005
   Shaw C.H., 2015, Geoderma Reg, V4, P114, DOI [10.1016/j.geodrs.2015.01.001, DOI 10.1016/J.GEODRS.2015.01.001]
   Smyth CE, 2014, BIOGEOSCIENCES, V11, P3515, DOI 10.5194/bg-11-3515-2014
   Smyth CE, 2011, ECOL MODEL, V222, P1080, DOI 10.1016/j.ecolmodel.2010.12.005
   Smyth C, 2017, GCB BIOENERGY, V9, P817, DOI 10.1111/gcbb.12387
   Teitelbaum S, 2012, FOREST CHRON, V88, P697, DOI 10.5558/tfc2012-136
   Trees Ontario, 2012, A discussion paper for alternative approaches to afforestation in Ontario
   Tremblay S, 2006, CAN J FOREST RES, V36, P2713, DOI 10.1139/X06-076
   Tremblay S, 2013, FORESTS, V4, P1141, DOI 10.3390/f4041141
   Voicu MF, 2017, J ENVIRON MANAGE, V193, P318, DOI 10.1016/j.jenvman.2017.02.019
   VONALTHEN FW, 1990, FOREST CHRON, V66, P606, DOI 10.5558/tfc66606-6
   Wetzel S., 2006, Bioproducts from Canada's forests : new partnerships in the bioeconomy
   White TM, 2005, FOREST CHRON, V81, P491, DOI 10.5558/tfc81491-4
   Woods M. E., 2000, 060 ONT MIN NAT RES
   Yemshanov D, 2007, FOREST POLICY ECON, V10, P48, DOI 10.1016/j.forpol.2007.03.001
NR 95
TC 7
Z9 7
U1 1
U2 24
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 0378-1127
EI 1872-7042
J9 FOREST ECOL MANAG
JI For. Ecol. Manage.
PD JUN 1
PY 2019
VL 441
BP 229
EP 241
DI 10.1016/j.foreco.2019.03.038
PG 13
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA IC6MQ
UT WOS:000471086600022
DA 2025-01-10
ER

PT J
AU Groshong, L
   Stanis, SW
   Morgan, M
AF Groshong, Lisa
   Stanis, Sonja Wilhelm
   Morgan, Mark
TI Climate change impacts in Missouri State Parks: Perceptions from engaged
   park users
SO JOURNAL OF OUTDOOR RECREATION AND TOURISM-RESEARCH PLANNING AND
   MANAGEMENT
LA English
DT Article
DE Climate change; Photo elicitation; Key informant interview; State parks
ID RISK PERCEPTIONS; NATIONAL-PARK; BIODIVERSITY; SCIENTISTS; MANAGEMENT;
   BELIEFS; DROUGHT; TOURISM; SCALES; SHIFTS
AB Frequent visitors to natural areas may be more receptive to climate change messages and more likely to act on their environmental values. To aid in developing targeted communication strategies, this exploratory study assessed how engaged state park users perceive climate change impacts and what they view as the agency role in climate change mitigation, education, and communication. Photo elicitation and semi-structured interviews were conducted with 18 members of the Missouri Parks Association (MPA), an advocacy group. While participants expressed concern about the threat of climate change to state parks, some doubted their ability to identify impacts. Despite this, participants accurately identified most of the regional threats predicted by experts, including increased flooding and drought, early blooming, invasive species, and extreme weather. Some reported that participation in the study inspired them to observe climate impacts more closely. Participants affirmed that state parks should lead climate change education and mitigation efforts, while acknowledging the challenges of addressing a politically charged subject. Regarding communication, MPA members recommend focusing on the science behind climate change and ecological mitigation. Although this study focused on Missouri state parks, results may be applicable to visitors in other Midwestern states.
   Management implications:
   Study participants supported managerial action on climate change adaptation through education and ecological management.
   They acknowledged the political challenges managers face. This study supports presenting scientific evidence to the public and framing climate-change communication around specific, resource-related impacts, especially vegetation, wildlife, and landscape themes that visitors identify as locally salient.
   Alternatively, park management could focus natural resource-based climate change education on the broader ecological benefits of environmental behavior.
   Staff can also highlighting environmental efforts underway in parks, such as adoption of energy efficient technology and landscape management practices aimed at increasing ecological resilience.
   Staff should be educated, empowered and encouraged to deliver locally-relevant climate change interpretation.
C1 [Groshong, Lisa; Stanis, Sonja Wilhelm; Morgan, Mark] Univ Missouri, Sch Nat Resources, 105 Anheuser Busch Nat Resources Bldg, Columbia, MO 65211 USA.
C3 University of Missouri System; University of Missouri Columbia
RP Groshong, L (corresponding author), Univ Missouri, Sch Nat Resources, 105 Anheuser Busch Nat Resources Bldg, Columbia, MO 65211 USA.
EM lisagroshong@mizzou.edu; sonjaws@missouri.edu; markmorgan@missouri.edu
OI Wilhelm Stanis, Sonja/0000-0002-0617-922X
FU U.S. National Science Foundation [IIA-1355406]
FX This material is based upon work supported by the U.S. National Science
   Foundation under Award Number IIA-1355406. Any opinions, findings, and
   conclusions or recommendations expressed in this material are those of
   the authors and do not necessarily reflect the views of the National
   Science Foundation.
CR Allen CD, 2010, FOREST ECOL MANAG, V259, P660, DOI 10.1016/j.foreco.2009.09.001
   Anderson C.J., 2015, Climate in the Heartland: Historical Data and Future Projections for the Heartland Regional Network
   [Anonymous], 2014 ANN REP MISS DE
   [Anonymous], ACT BAS TOUR SEGM CA
   [Anonymous], SCI STORIES BRINGING
   [Anonymous], MULTIPLE DIMENSIONS
   [Anonymous], 2011, GLOBAL ENVIRON CHANG, DOI DOI 10.1016/j.gloenvcha.2011.01.016
   [Anonymous], SAGE RES METHODS CAS
   [Anonymous], HEAVY RAIN FORCES CA
   [Anonymous], 2014, THESIS
   [Anonymous], 2015, AUSTR J MARITIME OCE, DOI DOI 10.1080/18366503.2015.1014012
   [Anonymous], 2 CATASTROPHIC FLOOD
   [Anonymous], INV SPEC MAN
   [Anonymous], J PARK RECREATION AD
   [Anonymous], 2015, ADM POLICY MENT HLTH, DOI DOI 10.1007/s10488-013-0528-y
   [Anonymous], PHOTO CONVERSATIONS
   [Anonymous], PARKS CAMPGROUN 0525
   [Anonymous], NE RECR RES S COOP N
   Askew AE, 2018, J PARK RECREAT ADM, V36, P97, DOI 10.18666/JPRA-2018-V36-I2-8316
   Bain PG, 2012, NAT CLIM CHANGE, V2, P600, DOI 10.1038/NCLIMATE1532
   Baldwin C, 2010, LOCAL ENVIRON, V15, P637, DOI 10.1080/13549839.2010.498810
   Bennett J, 2014, SOCIOL RES ONLINE, V19, DOI 10.5153/sro.3187
   Bjurström A, 2011, CLIMATIC CHANGE, V108, P1, DOI 10.1007/s10584-011-0018-8
   Bolsen T, 2015, ANN AM ACAD POLIT SS, V658, P271, DOI 10.1177/0002716214558393
   Brownlee MTJ, 2015, J OUTDOOR REC TOUR, V11, P1, DOI 10.1016/j.jort.2015.06.003
   Brownlee MTJ, 2014, SOC NATUR RESOUR, V27, P964, DOI 10.1080/08941920.2014.929768
   Brownlee MTJ, 2013, ENVIRON MANAGE, V52, P1132, DOI 10.1007/s00267-013-0153-2
   Caniglia B.S., 2015, CLIMATE CHANGE SOC S
   COLLIER J, 1957, AM ANTHROPOL, V59, P843
   Creswell JW, 2000, THEOR PRACT, V39, P124, DOI 10.1207/s15430421tip3903_2
   De Urioste-Stone SM, 2015, J OUTDOOR REC TOUR, V11, P34, DOI 10.1016/j.jort.2015.07.001
   Eagles P. F. J., 2002, Journal of Sustainable Tourism, V10, P132, DOI 10.1080/09669580208667158
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Hand M.S., 2018, Climate change vulnerability and adaptation in the Intermountain Region [Part 2], V375, P316, DOI [DOI 10.2737/RMRS-GTR-375PART2, https://doi.org/10.2737/RMRS-GTR-375PART2]
   Harper D., 2002, Visual Studies, V17, P13, DOI [10.1080/14725860220137345, DOI 10.1080/14725860220137345]
   Heller NE, 2009, BIOL CONSERV, V142, P14, DOI 10.1016/j.biocon.2008.10.006
   Howe PD, 2015, NAT CLIM CHANGE, V5, P596, DOI 10.1038/nclimate2583
   Kelly AE, 2008, P NATL ACAD SCI USA, V105, P11823, DOI 10.1073/pnas.0802891105
   Leiserowitz A., 2017, CLIMATE CHANGE AM MI
   Leiserowitz AA, 2005, RISK ANAL, V25, P1433, DOI 10.1111/j.1540-6261.2005.00690.x
   Lynch AJ, 2016, FISHERIES, V41, P346, DOI 10.1080/03632415.2016.1186016
   Maibach E, 2014, EARTHS FUTURE, V2, P295, DOI 10.1002/2013EF000226
   Mallakpour I, 2015, NAT CLIM CHANGE, V5, P250, DOI [10.1038/nclimate2516, 10.1038/NCLIMATE2516]
   Mantyka-Pringle CS, 2012, GLOBAL CHANGE BIOL, V18, P1239, DOI 10.1111/j.1365-2486.2011.02593.x
   Mawdsley JR, 2009, CONSERV BIOL, V23, P1080, DOI 10.1111/j.1523-1739.2009.01264.x
   McCreary A, 2018, J PARK RECREAT ADM, V36, P121, DOI 10.18666/JPRA-2018-V36-I2-8378
   McCright AM, 2011, SOCIOL QUART, V52, P155, DOI 10.1111/j.1533-8525.2011.01198.x
   Pauen M, 2013, P 35 ANN M COGNITIVE, P2070
   Pecl GT, 2017, SCIENCE, V355, DOI 10.1126/science.aai9214
   Perry E, 2018, J PARK RECREAT ADM, V36, P31, DOI 10.18666/JPRA-2018-V36-I2-8307
   Pryor S.C., 2014, CLIMATE CHANGE IMPAC, P418, DOI [10.7930/J0J1012N, DOI 10.7930/J0J1012N]
   Pysek P, 2010, ANNU REV ENV RESOUR, V35, P25, DOI 10.1146/annurev-environ-033009-095548
   Ranney MA, 2016, TOP COGN SCI, V8, P49, DOI 10.1111/tops.12187
   Schweizer S, 2013, ENVIRON COMMUN, V7, P42, DOI 10.1080/17524032.2012.753634
   Shaw A, 2009, GLOBAL ENVIRON CHANG, V19, P447, DOI 10.1016/j.gloenvcha.2009.04.002
   Sheppard S. R., 2012, VISUALIZING CLIMATE
   Sherren K, 2013, WETLANDS, V33, P65, DOI 10.1007/s13157-012-0352-2
   Smith J.W., 2018, Journal of Park Recreation Administration, V36, pIX
   Swim J., 2014, Journal of Geoscience Education, V62, P495, DOI DOI 10.5408/13-048.1
   Thomas DR, 2006, AM J EVAL, V27, P237, DOI 10.1177/1098214005283748
   Thomas DSK, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/4/044004
   Thompson J., 2013, George Wright Forum, V30, P182
   van Putten IE, 2016, ICES J MAR SCI, V73, P1306, DOI 10.1093/icesjms/fsv192
   Vaske J. J., 2001, The Journal of Environmental Education, V32, P16, DOI [10.1080/00958960109598658, DOI 10.1080/00958960109598658]
   Vicente-Serrano SM, 2013, P NATL ACAD SCI USA, V110, P52, DOI 10.1073/pnas.1207068110
   Wang C, 1997, HEALTH EDUC BEHAV, V24, P369, DOI 10.1177/109019819702400309
   Weber EU, 2011, AM PSYCHOL, V66, P315, DOI 10.1037/a0023253
NR 67
TC 6
Z9 9
U1 5
U2 38
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2213-0780
EI 2213-0799
J9 J OUTDOOR REC TOUR
JI J. Outdo. Recreat. Tour. Res. Plan.
PD DEC
PY 2018
VL 24
BP 11
EP 20
DI 10.1016/j.jort.2018.09.002
PG 10
WC Hospitality, Leisure, Sport & Tourism
WE Social Science Citation Index (SSCI)
SC Social Sciences - Other Topics
GA HB0AB
UT WOS:000450670200002
OA Bronze
DA 2025-01-10
ER

PT J
AU Servino, RN
   Gomes, LED
   Bernardino, AF
AF Servino, Ricardo Nogueira
   de Oliveira Gomes, Luiz Eduardo
   Bernardino, Angelo Fraga
TI Extreme weather impacts on tropical mangrove forests in the Eastern
   Brazil Marine Ecoregion
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE El Nino; Hailstorm; Remote sensing; Mangrove; Climate change; Eastern
   Brazil
ID CLIMATE-CHANGE; DROUGHT; CARBON; ASSEMBLAGES; ECOSYSTEMS; CO2;
   VEGETATION; HURRICANES; MORTALITY; RESPONSES
AB Extreme weather events are likely to become more frequent in the 21st century bringing significant impacts to coastal ecosystems. However, the capacity to detect and measure those impacts are still limited, with effects largely unstudied. In June 2016, a hailstorm with wind gusts of over 100 km.h(-1) caused an unprecedented mangrove dieback on Eastern Brazil. To quantify the scale of impact and short-term recovery of mangroves (15-mo), we used satellite imagery and field sampling to evaluate changes in forest structure in control and impacted areas after the hailstorm. Satellite imagery revealed mangrove dieback in over 500 ha, corresponding to 293% of the total forest area suddenly impacted after the hailstorm. Fifteen months after the hailstorm, some impacted areas show an initial recovery, while others continued to degrade. The El Nino years of 2014-2016 created mild drought conditions in Eastern Brazil. As observed in wetlands of semi-arid regions during the same period, mangrove recovery may have been impaired by continued physiological stress and climate change effects. Economic losses in the study site from typical mangrove ecosystem services including food provision, climate regulation, raw materials and nurseries are estimated to at least USS 792,624 yr(-1) . This is the first evidence of an extreme weather impact on mangroves in Brazil that typically provide unique ecological and economic subsistence to coastal populations. Our results reveal that there is a pressing need for long-term monitoring and climate change adaptation actions for coastal wetlands in Brazil, and to provide broad estimates of ecosystem values associated with these ecosystems given many areas are already experiencing chronic stress from local impacts, drought and high temperatures. (C) 2018 Elsevier B.V. All lights reserved.
C1 [Servino, Ricardo Nogueira; de Oliveira Gomes, Luiz Eduardo; Bernardino, Angelo Fraga] Univ Fed Espirito Santo, Dept Oceanog & Ecol, Grp Ecol Bent, Av Fernando Ferrari 514, BR-29075910 Vitoria, ES, Brazil.
C3 Universidade Federal do Espirito Santo
RP Gomes, LED (corresponding author), Univ Fed Espirito Santo, Dept Oceanog & Ecol, Grp Ecol Bent, Av Fernando Ferrari 514, BR-29075910 Vitoria, ES, Brazil.
EM luiz.e.o.gomes@gmail.com
RI Bernardino, Angelo/C-6921-2012; de Oliveira Gomes, Luiz
   Eduardo/Y-8013-2018
OI Bernardino, Angelo/0000-0002-1838-4597; de Oliveira Gomes, Luiz
   Eduardo/0000-0002-2735-9625
FU CNPq [441243/2016-9]; FAPES [79054684/17]; CNPq PELD-HCES scholarship
FX We would like to thank A. Mazzuco, F. Cortes (IDAF-ES) and P.Pimentel
   for contributing to the data, photos and videos and to the Aracruz
   Municipal Administration (PMA-ES), for field support for this work. AFB
   was supported by CNPq (grant 441243/2016-9) and FAPES (grant
   79054684/17). LEOGwas supported by a CNPq PELD-HCES scholarship. This is
   a PELD-HCES contribution # 002.
CR Allen JT, 2015, NAT GEOSCI, V8, P278, DOI 10.1038/NGEO2385
   Alongi DM, 2008, ESTUAR COAST SHELF S, V76, P1, DOI 10.1016/j.ecss.2007.08.024
   Alongi DM, 2012, CARBON MANAG, V3, P313, DOI [10.4155/cmt.12.20, 10.4155/CMT.12.20]
   Alvares CA, 2013, METEOROL Z, V22, P711, DOI 10.1127/0941-2948/2013/0507
   [Anonymous], 2017, EarthExplorer
   [Anonymous], MATLAB 9 0
   [Anonymous], [No title captured]
   Ball MC, 1988, TREES-STRUCT FUNCT, V2, P129, DOI 10.1007/BF00196018
   Bernardino AF, 2015, ESTUAR COAST SHELF S, V166, P74, DOI 10.1016/j.ecss.2015.05.021
   Bernardino AF, 2018, MAR POLLUT BULL, V126, P228, DOI 10.1016/j.marpolbul.2017.11.008
   Brimelow JC, 2017, NAT CLIM CHANGE, V7, P516, DOI [10.1038/nclimate3321, 10.1038/NCLIMATE3321]
   Cahoon DR, 2003, J ECOL, V91, P1093, DOI 10.1046/j.1365-2745.2003.00841.x
   CINTRON G, 1978, BIOTROPICA, V10, P110, DOI 10.2307/2388013
   CLARKE PJ, 1992, AUST J ECOL, V17, P161, DOI 10.1111/j.1442-9993.1992.tb00794.x
   Costanza R, 2014, GLOBAL ENVIRON CHANG, V26, P152, DOI 10.1016/j.gloenvcha.2014.04.002
   Dai AG, 2013, NAT CLIM CHANGE, V3, P171, DOI 10.1038/NCLIMATE1811
   Côrtes LHD, 2014, BOL INST PESCA, V40, P639
   Gomes LED, 2017, MAR POLLUT BULL, V120, P28, DOI 10.1016/j.marpolbul.2017.04.056
   Queiroz LD, 2017, ECOSYST SERV, V26, P137, DOI 10.1016/j.ecoser.2017.06.013
   Donato DC, 2011, NAT GEOSCI, V4, P293, DOI [10.1038/NGEO1123, 10.1038/ngeo1123]
   Doney SC, 2012, ANNU REV MAR SCI, V4, P11, DOI 10.1146/annurev-marine-041911-111611
   dos Santos NM, 2017, OCEAN COAST MANAGE, V148, P97, DOI 10.1016/j.ocecoaman.2017.07.003
   Duke NC, 2017, MAR FRESHWATER RES, V68, P1816, DOI 10.1071/MF16322
   DUNNETT CW, 1980, J AM STAT ASSOC, V75, P789, DOI 10.2307/2287160
   FARQUHAR GD, 1982, OECOLOGIA, V52, P121, DOI 10.1007/BF00349020
   Feher LC, 2017, ECOSPHERE, V8, DOI 10.1002/ecs2.1956
   FOOTE GB, 1984, J CLIM APPL METEOROL, V23, P84, DOI 10.1175/1520-0450(1984)023<0084:ASOHGU>2.0.CO;2
   Gabler CA, 2017, NAT CLIM CHANGE, V7, P142, DOI [10.1038/nclimate3203, 10.1038/NCLIMATE3203]
   Gilman EL, 2008, AQUAT BOT, V89, P237, DOI 10.1016/j.aquabot.2007.12.009
   Giri C, 2011, GLOBAL ECOL BIOGEOGR, V20, P154, DOI 10.1111/j.1466-8238.2010.00584.x
   Grimm AM, 1998, J CLIMATE, V11, P2863, DOI 10.1175/1520-0442(1998)011<2863:PAISBA>2.0.CO;2
   Herrera D, 2017, J CLIMATE, V30, P7801, DOI 10.1175/JCLI-D-16-0838.1
   HOLBEN BN, 1986, INT J REMOTE SENS, V7, P1417, DOI 10.1080/01431168608948945
   [Houghton J.T. IPCC. IPCC.], 2001, CLIMATE CHANGE
   Houston W. A., 1999, Mangroves and Salt Marshes, V3, P29, DOI 10.1023/A:1009946809787
   Huschke R.E., 1959, GLOSSARY METEOROLOGY
   Ibharim NA, 2015, OCEAN COAST MANAGE, V114, P64, DOI 10.1016/j.ocecoaman.2015.06.005
   Johnston CA, 2017, MAR ECOL PROG SER, V573, P1, DOI 10.3354/meps12176
   Jones R, 2015, J COASTAL RES, V31, P1229, DOI 10.2112/JCOASTRES-D-14-00065.1
   Kalnay E, 1996, B AM METEOROL SOC, V77, P437, DOI 10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2
   Kauffman J.B., 2012, CIFOR, DOI [10.17528/cifor/003749, DOI 10.17528/CIFOR/003749]
   Kauffman JB, 2018, FRONT ECOL ENVIRON, V16, P12, DOI 10.1002/fee.1749
   Kauffman JB, 2016, WETL ECOL MANAG, V24, P203, DOI 10.1007/s11273-015-9453-z
   Kristensen E, 2008, MAR ECOL PROG SER, V370, P53, DOI 10.3354/meps07642
   LIN G, 1992, AUST J PLANT PHYSIOL, V19, P509, DOI 10.1071/PP9920509
   Long J, 2016, MAR POLLUT BULL, V109, P734, DOI 10.1016/j.marpolbul.2016.06.080
   Lovelock CE, 2016, TREE PHYSIOL-NETH, V6, P149, DOI 10.1007/978-3-319-27422-5_7
   Macamo CCF, 2016, AQUAT BOT, V134, P10, DOI 10.1016/j.aquabot.2016.05.004
   MacKay F, 2010, ESTUAR COAST SHELF S, V86, P553, DOI 10.1016/j.ecss.2009.11.011
   Marengo JA, 2010, CLIM DYNAM, V35, P1089, DOI 10.1007/s00382-009-0721-6
   McKee KL, 2004, GLOBAL ECOL BIOGEOGR, V13, P65, DOI 10.1111/j.1466-882X.2004.00075.x
   McKee T., 1993, P 8 C APPL CLIM BOST, P17
   McLeod E, 2006, Managing mangroves for resilience to climate change
   Mcleod E, 2011, FRONT ECOL ENVIRON, V9, P552, DOI 10.1890/110004
   Modahl AC, 1969, INFLUENCE VERTICAL W
   Moreira EE, 2008, J HYDROL, V354, P116, DOI 10.1016/j.jhydrol.2008.03.002
   Osland MJ, 2017, ECOL MONOGR, V87, P341, DOI 10.1002/ecm.1248
   Osland MJ, 2016, GLOBAL CHANGE BIOL, V22, P1, DOI 10.1111/gcb.13084
   Parida AK, 2010, TREES-STRUCT FUNCT, V24, P199, DOI 10.1007/s00468-010-0417-x
   Pendleton L, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0043542
   Pettorelli N, 2013, NORMALIZED DIFFERENCE VEGETATION INDEX, P1, DOI 10.1093/acprof:osobl/9780199693160.001.0001
   ROTH LC, 1992, BIOTROPICA, V24, P375, DOI 10.2307/2388607
   Rouse J. W., 1974, PROC 3 EARTH RESOUR, V1, P48
   Schaeffer-Novelli Y, 2016, BRAZ J OCEANOGR, V64, DOI 10.1590/S1679-875920160919064sp2
   Silliman BR, 2005, SCIENCE, V310, P1803, DOI 10.1126/science.1118229
   Smith TJ, 2009, WETLANDS, V29, P24, DOI 10.1672/08-40.1
   Tamura M, 2008, PROC SPIE, V7104, DOI 10.1117/12.799341
   U.S. Geological Survey, 2017, LANDS 8 PREC QUAL AS
   UNDERWOOD AJ, 1992, J EXP MAR BIOL ECOL, V161, P145, DOI 10.1016/0022-0981(92)90094-Q
   Van der Ploeg S., 2010, The TEEB Valuation Database: Overview of Structure, Data and Results
   Vilar CC, 2013, MAR ECOL PROG SER, V485, P181, DOI 10.3354/meps10343
   Wallace John M., 2006, Atmospheric Science, An Introductory Survey, VSecond
   Yengoh G.T., 2015, Use of the Normalized Difference Vegetation Index (NDVI) to assess Land degradation at multiple scales: current status, future trends, and practical considerations
NR 73
TC 66
Z9 68
U1 9
U2 240
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD JUL 1
PY 2018
VL 628-629
BP 233
EP 240
DI 10.1016/j.scitotenv.2018.02.068
PG 8
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA GG1QP
UT WOS:000432462000026
PM 29444481
DA 2025-01-10
ER

PT J
AU Capistrano, AOV
   Quilang, EJP
AF Capistrano, Ailon Oliver V.
   Quilang, Eduardo Jimmy P.
TI Rainfall Indices for a Weather Index-Based Crop Insurance for Rice
SO PHILIPPINE JOURNAL OF CROP SCIENCE
LA English
DT Article
DE low rainfall cover; mismatch or basis risk; plant water deficit (PWD)
   stress; postulated index; Weather Index-Based Crop Insurance (WIBCI)
AB This paper analyzed the applicability of two sets of rainfall indices for a weather index-based crop insurance (WIBCI) for rice against low rainfall cover in Dumangas, Iloilo, WS2013. WIBCI is a new type of risk-transfer-mechanism (RTM) being tested in the Philippines that operates on the principle of having pre-agreed indices set per weather variable between the insurer and insured. Claims happen when these indices are considered "breached" or are not met in the case of low rainfall cover for a particular period. Operation-wise, the WIBCI product is revolutionary and could be a potentially quick-responsive climate change adaptation measure. However, new as it is, questions on the applicability of the product, particularly the indices, have to be evaluated and scrutinized. Validation points used in this study were breach assessments via the WIBCI product's procedure and its consistency with actual drought incident reports. Average yields of the community relative to WIBCI farmers' individual yields were also used to validate consistency of breaches or no breaches among enrolees. Results of yield analysis relative to each community's average yields showed 95.7% of enrolees have low yields. When matched with the breaches assessed using the existing indices, only 52 enrolees breached the indices. Overall validity of the existing index via consistency of breached indices with low yields was only 70% but the 30% mismatch was still significant from an insurance business standpoint hence, a postulated set of indices specific to the location were developed for comparison. With the postulated indices, only 20 enrolees breached the indices which were much lower in number arid more acceptable considering the absence of PAGASA's official drought incident reports. However, consistency analysis revealed that a much higher basis risk was incurred when using the postulated index which was mostly due to the mismatch of "no breaches" and low actual grain yields.
C1 [Capistrano, Ailon Oliver V.; Quilang, Eduardo Jimmy P.] Philippine Rice Res Inst, Cent Expt Stn, Sci City Of Munoz 3119, Nueva Ecija, Philippines.
C3 Philippine Rice Research Institute
RP Capistrano, AOV (corresponding author), Philippine Rice Res Inst, Cent Expt Stn, Sci City Of Munoz 3119, Nueva Ecija, Philippines.
EM ailon.capistrano@gmail.com
FU Philippine Crop Insurance Corporation (PCIC) via the Philippines Climate
   Change Adaptation Project (PhiICCAP)
FX The authors would like to acknowledge the technical assistance of the
   Philippine Atmospheric, Geophysical and Astronomical Services
   Administration (PAGASA) particularly Ms. Rosalina G. de Guzman, Chief of
   the Climate Data Section, for her generous technical assistance towards
   this evaluation. To Juanito M. Maloom of PhilRice Batac, Jessica P.
   Jimenez, Mary Grace N. Semilla and Elmer D. Alosnos, the WIBCI
   pioneering team at PhilRice, for the implementation of the project at
   Dumangas, Iloilo WS2013 and to the Philippine Crop Insurance Corporation
   (PCIC) for the funds used via the Philippines Climate Change Adaptation
   Project (PhiICCAP).
CR [Anonymous], 2015, IMPLEMENTATION ISSUE
   [Anonymous], WEATH IND BAS INS AG
   Barnett BJ, 2007, AM J AGR ECON, V89, P1241, DOI 10.1111/j.1467-8276.2007.01091.x
   Barnett BJ, 2008, WORLD DEV, V36, P1766, DOI 10.1016/j.worlddev.2007.10.016
   Bryla E., 2007, United Nations Sustainable Development Innovation Briefs
   Cabrera BL, 2007, INTRO WEATHER DERIVA
   Capistrano AOV, 2011, PHILIPP J CROP SCI, V36, P12
   Lansigan FP., 2013, 12 NAT CONV STAT NCS
   Miura K., 1995, PEDOLOGICAL CHARACTE
   Nieto JD, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0038281
   Patankar M., 2011, WEATHER INDEX INSURA
   Skees J.R., 2008, POTENTIAL WEATHER IN
NR 12
TC 2
Z9 3
U1 2
U2 11
PU CROP SCIENCE SOC PHILLIPPINES
PI COLLEGE LAGUNA
PA PO BOX 165, COLLEGE LAGUNA, 4031, PHILIPPINES
SN 0115-463X
J9 PHILIPP J CROP SCI
JI Philipp. J. Crop Sci.
PD APR
PY 2018
VL 43
IS 1
BP 9
EP 18
PG 10
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA GE3BH
UT WOS:000431087900003
DA 2025-01-10
ER

PT J
AU Li, YH
   Tung, CP
   Li, YH
   Chen, PY
AF Li, Yuan-Hua
   Tung, Ching-Pin
   Li, Yuan-Hung
   Chen, Pei-Yuan
TI Assessing climate change adaptations for community-scale water resources
   using a low-frequency weather generator
SO PADDY AND WATER ENVIRONMENT
LA English
DT Article
DE Water resources; Community water supply system; Adaptation; Climate
   change; Low-frequency weather generator
ID TIME-SERIES; IRRIGATION; SYSTEM
AB Water adaptation strategies are necessary for decreasing climate change impacts on local societies. This study models a community water supply system as a distributed adaptation measure for decreasing the loading of the centralized water supply system. The modeled community water supply system addresses both supply and demand at the community scale using constructed wetlands, rainwater harvesting systems, household storage, and paddy fields. The purpose of this study was to evaluate a community water supply system in various climate change scenarios using three performance indicators: water saving efficiency (WSE), tolerance duration (TD), and water use efficiency (WUE). A low-frequency weather generator (LF-WGEN) was proposed and used to produce future weather data for evaluating the impacts of climate change. LF-WGEN generates future weather data based on climate scenarios derived from the outputs of general circulation models (GCMs, such as HadGEM2-AO and CSIRO-Mk3-6-0) which project current and future climate based on different representative concentration pathways (RCPs). The results indicate that low impact development (LID) modules have better performance in the first growth period and may maintain domestic functionality under climate change. All indicators show positive correlations with rainfall in most of the climate scenarios. However, with slight decreases in predicted rainfall, the WUE and WSEagri showed negative correlations to rainfall in the RCP 2.6 HadGEM2-AO and RCP 4.5 CSIRO-Mk3-6-0 climate scenarios. This could be due the lower number of consecutive dry days predicted by the LF-WGEN causing a slightly increased wetland inflow that would then decrease the irrigation water supply. Overall, the community water supply system showed strong performance in the various climate scenarios. Further study of the community water supply system needs to include an optimization of adaptation measures for practical applications.
C1 [Li, Yuan-Hua; Tung, Ching-Pin; Li, Yuan-Hung; Chen, Pei-Yuan] Natl Taiwan Univ, Dept Bioenvironm Syst Engn, Taipei 106, Taiwan.
C3 National Taiwan University
RP Tung, CP (corresponding author), Natl Taiwan Univ, Dept Bioenvironm Syst Engn, Taipei 106, Taiwan.
EM cptung@ntu.edu.tw
RI li, yuanhua/KUF-4499-2024
FU Ministry of Science and Technology [105-2313-B-002-025-MY3]
FX This research was funded by the Ministry of Science and Technology
   (Contract No. 105-2313-B-002-025-MY3).
CR Fassman EA, 2010, J HYDROL ENG, V15, P475, DOI 10.1061/(ASCE)HE.1943-5584.0000238
   Gross A, 2007, CHEMOSPHERE, V66, P916, DOI 10.1016/j.chemosphere.2006.06.006
   Hardin M, 2012, WATER-SUI, V4, P914, DOI 10.3390/w4040914
   Huang NE, 1998, P ROY SOC A-MATH PHY, V454, P903, DOI 10.1098/rspa.1998.0193
   Kang SZ, 2002, AGR WATER MANAGE, V55, P203, DOI 10.1016/S0378-3774(01)00180-9
   KARLSSON M, 1987, WATER RESOUR RES, V23, P1300, DOI 10.1029/WR023i007p01300
   Lall U, 1996, WATER RESOUR RES, V32, P679, DOI 10.1029/95WR02966
   Li YH, 2015, PADDY WATER ENVIRON, V13, P29, DOI 10.1007/s10333-013-0404-0
   Lin CY, 2017, TERR ATMOS OCEAN SCI, V28, P43, DOI 10.3319/TAO.2016.06.14.01(CCA)
   Liu TM, 2009, PADDY WATER ENVIRON, V7, P301, DOI 10.1007/s10333-009-0177-7
   PICKERING NB, 1988, J IRRIG DRAIN ENG, V114, P674, DOI 10.1061/(ASCE)0733-9437(1988)114:4(674)
   SELKER JS, 1990, WATER RESOUR RES, V26, P2733, DOI 10.1029/WR026i011p02733
   Steinschneider S, 2013, WATER RESOUR RES, V49, P7205, DOI 10.1002/wrcr.20528
   Taylor RG, 2013, NAT CLIM CHANGE, V3, P322, DOI [10.1038/nclimate1744, 10.1038/NCLIMATE1744]
   Villarreal EL, 2005, BUILD ENVIRON, V40, P1174, DOI 10.1016/j.buildenv.2004.10.018
   Yates D, 2003, WATER RESOUR RES, V39, DOI 10.1029/2002WR001769
NR 16
TC 1
Z9 1
U1 0
U2 12
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1611-2490
EI 1611-2504
J9 PADDY WATER ENVIRON
JI Paddy Water Environ.
PD JAN
PY 2018
VL 16
IS 1
BP 55
EP 69
DI 10.1007/s10333-017-0613-z
PG 15
WC Agricultural Engineering; Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA FX8DY
UT WOS:000426322400005
DA 2025-01-10
ER

PT J
AU Jalliffier-Verne, I
   Leconte, R
   Huaringa-Alvarez, U
   Heniche, M
   Madoux-Humery, AS
   Autixier, L
   Galarneau, M
   Servais, P
   Prévost, M
   Dorner, S
AF Jalliffier-Verne, Isabelle
   Leconte, Robert
   Huaringa-Alvarez, Uriel
   Heniche, Mourad
   Madoux-Humery, Anne-Sophie
   Autixier, Laurene
   Galarneau, Martine
   Servais, Pierre
   Prevost, Michele
   Dorner, Sarah
TI Modelling the impacts of global change on concentrations of
   <i>Escherichia coli</i> in an urban river
SO ADVANCES IN WATER RESOURCES
LA English
DT Article
DE Climate change; Drinking water; Source water protection; Escherichia
   coli; Combined sewer overflows; Hydrodynamic modelling
ID CLIMATE-CHANGE IMPACT; CRYPTOSPORIDIUM-PARVUM; SEWER OVERFLOWS;
   TEMPERATURE; STORMWATER; PATHOGEN; DRAINAGE; SYSTEMS; FATE;
   PRECIPITATION
AB Discharges of combined sewer system overflows (CSOs) affect water quality in drinking water sources despite increasing regulation and discharge restrictions. A hydrodynamic model was applied to simulate the transport and dispersion of fecal contaminants from CSO discharges and to quantify the impacts of climate and population changes on the water quality of the river used as a drinking water source in Quebec, Canada. The dispersion model was used to quantify Escherichia coli (E. coli) concentrations at drinking water intakes. Extreme flows during high and low water events were based on a frequency analysis in current and future climate scenarios. The increase of the number of discharges was quantified in current and future climate scenarios with regards to the frequency of overflows observed between 2009 and 2012. For future climate scenarios, effects of an increase of population were estimated according to current population growth statistics, independently of local changes in precipitation that are more difficult to predict than changes to regional scale hydrology. Under "business-as-usual" scenarios restricting increases in CSO discharge frequency, mean E. coli concentrations at downstream drinking water intakes are expected to increase by up to 87% depending on the future climate scenario and could lead to changes in drinking water treatment requirements for the worst case scenarios. The greatest uncertainties are related to future local discharge loads. Climate change adaptation with regards to drinking water quality must focus on characterizing the impacts of global change at a local scale. Source water protection planning must consider the impacts of climate and population change to avoid further degradation of water quality. (C) 2016 Elsevier Ltd. All rights reserved.
C1 [Jalliffier-Verne, Isabelle; Madoux-Humery, Anne-Sophie; Autixier, Laurene; Prevost, Michele; Dorner, Sarah] Ecole Polytech Montreal, Dept Civil Geol & Min Engn, 2900 Boul Edouard Montpetit, Montreal, PQ H3T 1J4, Canada.
   [Leconte, Robert; Huaringa-Alvarez, Uriel] Univ Sherbrooke, Dept Civil Engn, Fac Engn, 2500 Blvd Univ, Sherbrooke, PQ J1K 2R1, Canada.
   [Heniche, Mourad] Ecole Polytech Montreal, Dept Chem Engn, 2900 Boul Edouard Montpetit, Montreal, PQ H3T 1J4, Canada.
   [Galarneau, Martine] Engn Dept, 1333 Blvd Chomedey,CP 422 Succ, St Martin Laval, PQ H7V 3Z4, Canada.
   [Servais, Pierre] Univ Libre Bruxelles, Ecol Syst Aquat, Campus Plaine,CP 221, B-1050 Brussels, Belgium.
C3 Universite de Montreal; Polytechnique Montreal; University of
   Sherbrooke; Universite de Montreal; Polytechnique Montreal; Universite
   Libre de Bruxelles
RP Dorner, S (corresponding author), Ecole Polytech Montreal, Dept Civil Geol & Min Engn, 2900 Boul Edouard Montpetit, Montreal, PQ H3T 1J4, Canada.
EM isabelle.jalliffier-verne@polymtl.ca; robert.leconte@usherbrooke.ca;
   u.huaringa@usherbrooke.ca; mourad.heniche@polymtl.ca;
   anne-sophie.madoux-humery@polymtl.ca; laurene.autixier@polymtl.ca;
   m.galarneau@ville.laval.qc.ca; pservais@ulb.ac.be;
   michele.prevost@polymtl.ca; sarah.dorner@polymtl.ca
RI prevost, michele/HOC-8215-2023
FU Canada Research Chair on Source Water Protection; NSERC; Ouranos
   Consortium
FX This work was supported by the Canada Research Chair on Source Water
   Protection, NSERC, and the Ouranos Consortium with technical assistance
   from our municipal research partners.
CR Alvarez U.F. Huaringa., 2012, Changements Climatiques Sur Le Systeme Hydrique De La Riviere Des Outaouais: Debits De La Riviere Des Prairies Et De La Riviere Des Mille-Iles
   [Anonymous], 2006, Clean Water Act
   [Anonymous], 2006, Determination Des Cotes De Crues, Riviere Des Prairies, P98
   [Anonymous], 2012, Journal of Laws
   Arheimer B, 2005, AMBIO, V34, P559, DOI 10.1639/0044-7447(2005)034[0559:CCIOWQ]2.0.CO;2
   Autixier L, 2014, SCI TOTAL ENVIRON, V499, P238, DOI 10.1016/j.scitotenv.2014.08.030
   Bates B., 2008, Climate Change and Water, P200
   Beltaos S, 2001, HYDROLOG SCI J, V46, P157, DOI 10.1080/02626660109492807
   Blecken GT, 2010, J HYDROL, V394, P507, DOI 10.1016/j.jhydrol.2010.10.010
   Bouda M, 2012, J HYDROL ENG, V17, P1021, DOI 10.1061/(ASCE)HE.1943-5584.0000550
   Canadian Council of Ministers of the Environment (CCME), 2009, Canada-Wide Strategy for the Management of Municipal Wastewater Effluent-2014 Progress Report
   Chenoweth J, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR010269
   de Elía R, 2010, METEOROL Z, V19, P325, DOI 10.1127/0941-2948/2010/0469
   Delpla I, 2009, ENVIRON INT, V35, P1225, DOI 10.1016/j.envint.2009.07.001
   DEREGNIER DP, 1989, APPL ENVIRON MICROB, V55, P1223, DOI 10.1128/AEM.55.5.1223-1229.1989
   Dorner SM, 2007, J WATER HEALTH, V5, P241, DOI 10.2166/wh.2007.010b
   Dorner SM, 2006, ENVIRON SCI TECHNOL, V40, P4746, DOI 10.1021/es060426z
   Droppo IG, 2004, CAN J CIVIL ENG, V31, P569, DOI 10.1139/L04-015
   Edberg SC, 2000, J APPL MICROBIOL, V88, p106S, DOI 10.1111/j.1365-2672.2000.tb05338.x
   Fayer R, 1996, APPL ENVIRON MICROB, V62, P1431, DOI 10.1128/AEM.62.4.1431-1433.1996
   FCM, 2012, MUN ROADS WAT SYST
   Frigon A, 2010, METEOROL Z, V19, P225, DOI 10.1127/0941-2948/2010/0453
   Haas CN, 1996, WATER RES, V30, P1036, DOI 10.1016/0043-1354(95)00228-6
   Hofstra N, 2011, CURR OPIN ENV SUST, V3, P471, DOI 10.1016/j.cosust.2011.10.006
   Jagai JS, 2015, ENVIRON HEALTH PERSP, V123, P873, DOI 10.1289/ehp.1408971
   Jalliffier-Verne I., 2016, J ENV MANAG IN PRESS
   Jalliffier-Verne I, 2015, SCI TOTAL ENVIRON, V508, P462, DOI 10.1016/j.scitotenv.2014.11.059
   King BJ, 2005, APPL ENVIRON MICROB, V71, P3848, DOI 10.1128/AEM.71.7.3848-3857.2005
   Lalancette C., 2014, Water Research
   Madoux-Humery A. S., 2015, ENV SCI
   Madoux-Humery A. S., 2016, WATER RES IN PRESS
   Madoux-Humery AS, 2013, WATER RES, V47, P4370, DOI 10.1016/j.watres.2013.04.030
   Mailhot A, 2015, J HYDROL, V523, P602, DOI 10.1016/j.jhydrol.2015.01.063
   McLellan SL, 2007, J GREAT LAKES RES, V33, P566, DOI 10.3394/0380-1330(2007)33[566:DAFOEC]2.0.CO;2
   MDDELCC, 2014, MIN DEV DUR
   MDDEP, 2012, MIN SUST DEV
   Medema GJ, 1997, WATER SCI TECHNOL, V35, P249, DOI 10.1016/S0273-1223(97)00267-9
   Nie L, 2009, URBAN WATER J, V6, P323, DOI 10.1080/15730620802600924
   Patz JA, 2008, AM J PREV MED, V35, P451, DOI 10.1016/j.amepre.2008.08.026
   Pongmala K, 2015, J HYDROL, V531, P830, DOI 10.1016/j.jhydrol.2015.10.042
   Sauvé S, 2012, CHEMOSPHERE, V86, P118, DOI 10.1016/j.chemosphere.2011.09.033
   Semadeni-Davies A, 2008, J HYDROL, V350, P100, DOI 10.1016/j.jhydrol.2007.05.028
   Servais P, 2007, SCI TOTAL ENVIRON, V375, P152, DOI 10.1016/j.scitotenv.2006.12.010
   Solheinm A.L., 2010, Climate Change Impacts on Water Quality and Biodiversity
   SOMAE, 2013, RAPP ANN DET DEB
   Statistics Canada, 2011, POP DEM
   Sterk A, 2016, WATER RES, V105, P11, DOI 10.1016/j.watres.2016.08.053
   Sterk A, 2016, WATER RES, V95, P90, DOI 10.1016/j.watres.2016.03.005
   USEPA, 2002, SAF PUBL WAT SYST
   USEPA, 2005, 1623 USEPA, P68
   USEPA, 2012, NAT POLL DISCH ELIM
   Velázquez JA, 2013, HYDROL EARTH SYST SC, V17, P565, DOI 10.5194/hess-17-565-2013
   Vermeij W., 2010, RIVM RIVM
   Vescovi Luc., 2009, Water and climate change in Quebec
   Whitehead PG, 2009, HYDROLOG SCI J, V54, P101, DOI 10.1623/hysj.54.1.101
   Wilby RL, 2006, J HYDROL, V330, P204, DOI 10.1016/j.jhydrol.2006.04.033
   Wu Z, 2011, COMMUN NONLINEAR SCI, V16, P3168, DOI 10.1016/j.cnsns.2010.12.002
   Yagouti A, 2008, ATMOS OCEAN, V46, P243, DOI 10.3137/ao.460204
NR 58
TC 25
Z9 33
U1 2
U2 34
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0309-1708
EI 1872-9657
J9 ADV WATER RESOUR
JI Adv. Water Resour.
PD OCT
PY 2017
VL 108
SI SI
BP 450
EP 460
DI 10.1016/j.advwatres.2016.10.001
PG 11
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA FI3NA
UT WOS:000411868400036
DA 2025-01-10
ER

PT J
AU Pavón-Jordán, D
   Fox, AD
   Clausen, P
   Dagys, M
   Deceuninck, B
   Devos, K
   Hearn, RD
   Holt, CA
   Hornman, M
   Keller, V
   Langendoen, T
   Lawicki, L
   Lorentsen, SH
   Luigujoe, L
   Meissner, W
   Musil, P
   Nilsson, L
   Paquet, JY
   Stipniece, A
   Stroud, DA
   Wahl, J
   Zenatello, M
   Lehikoinen, A
AF Pavon-Jordan, Diego
   Fox, Anthony D.
   Clausen, Preben
   Dagys, Mindaugas
   Deceuninck, Bernard
   Devos, Koen
   Hearn, Richard D.
   Holt, Chas A.
   Hornman, Menno
   Keller, Verena
   Langendoen, Tom
   Lawicki, Lukasz
   Lorentsen, Svein H.
   Luigujoe, Leho
   Meissner, Wlodzimierz
   Musil, Petr
   Nilsson, Leif
   Paquet, Jean-Yves
   Stipniece, Antra
   Stroud, David A.
   Wahl, Johannes
   Zenatello, Marco
   Lehikoinen, Aleksi
TI Climate-driven changes in winter abundance of a migratory waterbird in
   relation to EU protected areas
SO DIVERSITY AND DISTRIBUTIONS
LA English
DT Article
DE Climate change adaptation; conservation policy; global warming;
   population trends; range shift; spatio-temporal analysis
ID ANAS-PLATYRHYNCHOS; RANGE SHIFTS; BIRDS; DISTRIBUTIONS
AB AimSpecies are responding to climate change by changing their distributions, creating debate about the effectiveness of existing networks of protected areas. As a contribution to this debate, we assess whether regional winter abundances and distribution of the Smew Mergellus albellus, a migratory waterbird species listed on Annex I (EU Birds Directive) that overwinters exclusively in European wetlands, changed during 1990-2011, the role of global warming in driving distributional changes and the effectiveness of the network of Special Protection Areas (SPAs, EU Birds Directive) in the context of climate change.
   LocationEurope.
   MethodsWe used site-specific counts (6,883 sites) from 16 countries covering the entire flyway to estimate annual abundance indices and trends at country, region (north-eastern, central and south-western) and flyway scales, inside and outside SPAs. We fitted autoregressive models to assess the effect of winter temperature on the annual abundance indices whilst accounting for autocorrelation.
   ResultsThe Smew wintering distribution shifted north-eastwards in Europe in accordance with the predictions of global warming, with increasing numbers in the north-eastern region and declines in the central region. Trends in wintering numbers were more positive in SPAs on the north-eastern and south-western part of the flyway. However, a large proportion of the wintering population remains unprotected in north-eastern areas outside of the existing SPA network.
   Main conclusionsSPAs accommodated climate-driven abundance changes in the north-eastern region of the wintering distribution by supporting increasing numbers of Smew in traditional and newly colonized areas. However, we highlight gaps in the current network, suggesting that urgent policy responses are needed. Given rapid changes in species distributions, we urge regular national and international assessments of the adequacy of the EU Natura 2000 network to ensure coherence in site-safeguard networks for this and other species.
C1 [Pavon-Jordan, Diego; Lehikoinen, Aleksi] Finnish Museum Nat Hist, Helsinki Lab Ornithol, Helsinki, Finland.
   [Pavon-Jordan, Diego] Univ Helsinki, Dept Biosci, FIN-00014 Helsinki, Finland.
   [Fox, Anthony D.; Clausen, Preben] Aarhus Univ, Dept Biosci, DK-8410 Ronde, Denmark.
   [Dagys, Mindaugas] Nat Res Ctr, LT-08412 Vilnius, Lithuania.
   [Deceuninck, Bernard] Fonderies Royales, LPO BirdLife France, F-17305 Rochefort, France.
   [Devos, Koen] Res Inst Nat & Forest, B-1070 Brussels, Belgium.
   [Hearn, Richard D.] Wildfowl & Wetlands Trust, Slimbridge GL2 7BT, Glos, England.
   [Holt, Chas A.] British Trust Ornithol, Thetford IP24 2PU, Norfolk, England.
   [Hornman, Menno] Sovon Dutch Ctr Field Ornithol, NL-6503 GA Nijmegen, Netherlands.
   [Keller, Verena] Swiss Ornithol Inst, CH-6204 Sempach, Switzerland.
   [Langendoen, Tom] Wetlands Int, NL-6717 LZ Ede, Netherlands.
   [Lawicki, Lukasz] West Pomeranian Nat Soc, PL-74100 Gryfino, Poland.
   [Lorentsen, Svein H.] Norwegian Inst Nat Res, N-7485 Trondheim, Norway.
   [Luigujoe, Leho] Estonian Univ Life Sci, Dept Zool, EE-51014 Tartu, Estonia.
   [Meissner, Wlodzimierz] Univ Gdansk, Dept Vertebrate Ecol & Zool, Avian Ecophysiol Unit, PL-80309 Gdansk, Poland.
   [Musil, Petr] Czech Univ Life Sci, Fac Environm Sci, Dept Ecol, CZ-16521 Prague 6, Suchdol, Czech Republic.
   [Nilsson, Leif] Lund Univ, Dept Biol, S-22362 Lund, Sweden.
   [Paquet, Jean-Yves] Aves Natagora, Dept Etud, B-5000 Namur, Belgium.
   [Stipniece, Antra] Latvian State Univ, Inst Biol, LV-2169 Salaspils, Latvia.
   [Stroud, David A.] JNCC, Peterborough PE11JY, Cambs, England.
   [Wahl, Johannes] Dachverband Deutsch Avifaunisten eV DDA, Federat German Avifaunists, D-48157 Munster, Germany.
   [Zenatello, Marco] ISPRA, Sede Ex INFS, I-40064 Ozzano Dellemilia, BO, Italy.
C3 University of Helsinki; Aarhus University; Nature Research Center -
   Lithuania; Research Institute for Nature & Forest; British Trust for
   Ornithology; Swiss Ornithological Institute; Norwegian Institute Nature
   Research; Estonian University of Life Sciences; Fahrenheit Universities;
   University of Gdansk; Czech University of Life Sciences Prague; Lund
   University; University of Latvia
RP Pavón-Jordán, D (corresponding author), Finnish Museum Nat Hist, Helsinki Lab Ornithol, POB 17, Helsinki, Finland.
EM diego.pavon-jordan@helsinki.fi
RI Lehikoinen, Aleksi/O-5444-2016; Nilsson, Leif/AAF-4436-2020; Stroud,
   David/B-4929-2016; Clausen, Preben/J-5276-2013; Meissner,
   Wlodzimierz/A-3657-2008
OI Lehikoinen, Aleksi/0000-0002-1989-277X; Pavon-Jordan,
   Diego/0000-0001-5105-3426; Paquet, Jean-Yves/0000-0002-2068-7976;
   Lawicki, Lukasz/0000-0002-9829-0151; Zenatello,
   Marco/0000-0002-9225-6737; Clausen, Preben/0000-0001-8986-294X;
   Meissner, Wlodzimierz/0000-0001-5995-9185; Musil,
   Petr/0000-0001-8147-4336
FU Nordic Waterbirds and Climate Network (NOWAC); KONE Foundation; Danish
   Nature Agency; Academy of Finland [275606]
FX We thank all IWC volunteers, Wetlands International and all the
   ornithological societies from the 16 countries included in this study
   for providing the data (see Supplementary Information for
   country-specific acknowledgments). The NordForsk Top Research Initiative
   supported Nordic Waterbirds and Climate Network (NOWAC). D.P.-J., A.D.F
   and A.L. were financially supported by KONE Foundation, the Danish
   Nature Agency and the Academy of Finland (grant number 275606),
   respectively. Comments from J.E. Brommer, M. Cabeza, A. Musgrove, A.
   Johnston and two anonymous referees greatly improved the manuscript.
CR [Anonymous], 2002, Information and Likelihood Theory: A Basis for Model Selection and Inference
   [Anonymous], 2012, Waterbird Population Estimates, VFifth
   [Anonymous], 2007, R BOOK
   [Anonymous], 2004, BirdLife Conservation Series
   [Anonymous], 201222 SOV DUTCH CTR
   [Anonymous], RED LIST OF BIRDS
   Araújo MB, 2011, ECOL LETT, V14, P484, DOI 10.1111/j.1461-0248.2011.01610.x
   Austin GE, 2005, GLOBAL CHANGE BIOL, V11, P31, DOI 10.1111/j.1529-8817.2003.00876.x
   Brommer Jon E., 2010, P249
   Brommer JE, 2008, ORNIS FENNICA, V85, P109
   Clavero M, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0018581
   Dalby L, 2013, ORNIS FENNICA, V90, P2
   Dalby L, 2013, IBIS, V155, P80, DOI 10.1111/j.1474-919X.2012.01257.x
   Donald PF, 2007, SCIENCE, V317, P810, DOI 10.1126/science.1146002
   Eglington SM, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0030407
   Elmberg J, 2014, J ORNITHOL, V155, P571, DOI 10.1007/s10336-014-1068-2
   European Environment Agency, 2012, Report No 12/2012
   Fouque Carol, 2009, Wildfowl, P42
   Gregory RD, 2005, PHILOS T R SOC B, V360, P269, DOI 10.1098/rstb.2004.1602
   Gregory RD, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0004678
   Gunnarsson G, 2012, IBIS, V154, P307, DOI 10.1111/j.1474-919X.2011.01206.x
   Johnston A, 2013, NAT CLIM CHANGE, V3, P1055, DOI 10.1038/NCLIMATE2035
   Koffijberg Kees, 2013, Wildfowl, P40
   Lehikoinen A, 2013, GLOBAL CHANGE BIOL, V19, P2071, DOI 10.1111/gcb.12200
   Maclean IMD, 2008, GLOBAL CHANGE BIOL, V14, P2489, DOI 10.1111/j.1365-2486.2008.01666.x
   Mawdsley J, 2011, WIRES CLIM CHANGE, V2, P498, DOI 10.1002/wcc.127
   Newton I., 1998, POPULATION LIMITATIO
   Pannekoek J., 2004, TRIM 3 MANUAL TRENDS
   Parmesan C, 2006, ANNU REV ECOL EVOL S, V37, P637, DOI 10.1146/annurev.ecolsys.37.091305.110100
   Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   Ridgill S C., 1990, Cold weather movements of waterfowl in Western Europe
   Shoo LP, 2006, AUSTRAL ECOL, V31, P22, DOI 10.1111/j.1442-9993.2006.01539.x
   Shoo LP, 2005, BIOL CONSERV, V125, P335, DOI 10.1016/j.biocon.2005.04.003
   Svazas Saulius, 2001, Acta Zoologica Lituanica, V11, P243
   Thomas CD, 2012, P NATL ACAD SCI USA, V109, P14063, DOI 10.1073/pnas.1210251109
   Zipkin EF, 2010, OECOLOGIA, V163, P893, DOI 10.1007/s00442-010-1622-4
   Zuur A.F., 2007, Statistics for Biology and Health
NR 37
TC 70
Z9 84
U1 1
U2 130
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1366-9516
EI 1472-4642
J9 DIVERS DISTRIB
JI Divers. Distrib.
PD MAY
PY 2015
VL 21
IS 5
BP 571
EP 582
DI 10.1111/ddi.12300
PG 12
WC Biodiversity Conservation; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA CF5GV
UT WOS:000352586400008
OA hybrid
DA 2025-01-10
ER

PT B
AU Af Rosenschöld, JM
   Rozema, JG
AF Af Rosenschold, Johan Munck
   Rozema, Jaap G.
BE Keskitalo, ECH
   Preston, BL
TI Moving from incremental to transformational change in climate adaptation
   policy? An institutionalist perspective
SO RESEARCH HANDBOOK ON CLIMATE CHANGE ADAPTATION POLICY
LA English
DT Article; Book Chapter
ID ADAPTIVE CAPACITY; LOCAL-GOVERNMENT; BARRIERS; GOVERNANCE;
   VULNERABILITY; CONSTRAINTS; LEGITIMACY; RESPONSES; INSIGHTS; POLITICS
C1 [Af Rosenschold, Johan Munck] Univ Helsinki, Dept Polit & Econ Studies, TINT, Helsinki, Finland.
   [Af Rosenschold, Johan Munck] Univ Helsinki, Fac Social Sci, Helsinki Inst Sustainabil Sci, Helsinki, Finland.
C3 University of Helsinki; University of Helsinki
RP Af Rosenschöld, JM (corresponding author), Univ Helsinki, Dept Polit & Econ Studies, TINT, Helsinki, Finland.; Af Rosenschöld, JM (corresponding author), Univ Helsinki, Fac Social Sci, Helsinki Inst Sustainabil Sci, Helsinki, Finland.
CR Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Af Rosenschöld JM, 2017, ENVIRON PLANN A, V49, P273, DOI 10.1177/0308518X16674210
   af Rosenschöld JM, 2014, WIRES CLIM CHANGE, V5, P639, DOI 10.1002/wcc.292
   Amaru S, 2013, APPL GEOGR, V39, P128, DOI 10.1016/j.apgeog.2012.12.006
   Amundsen H, 2010, ENVIRON PLANN C, V28, P276, DOI 10.1068/c0941
   Anguelovski I, 2011, CURR OPIN ENV SUST, V3, P169, DOI 10.1016/j.cosust.2010.12.017
   [Anonymous], 1994, Institutions, institutional change and economic performance, DOI DOI 10.1017/CBO9780511808678
   Battilana J, 2009, INSTITUTIONAL WORK: ACTORS AND AGENCY IN INSTITUTIONAL STUDIES OF ORGANIZATIONS, P31, DOI 10.1017/CBO9780511596605.002
   Bauer A, 2014, ENVIRON POLIT, V23, P818, DOI 10.1080/09644016.2014.924196
   Bauer A, 2012, J ENVIRON POL PLAN, V14, P279, DOI 10.1080/1523908X.2012.707406
   Berkhout F, 2012, WIRES CLIM CHANGE, V3, P91, DOI 10.1002/wcc.154
   Beunen R, 2019, J ENVIRON PLANN MAN, V62, P12, DOI 10.1080/09640568.2016.1257423
   Bisaro A, 2010, CLIM DEV, V2, P161, DOI 10.3763/cdev.2010.0037
   Bulkeley H, 2006, URBAN STUD, V43, P2237, DOI 10.1080/00420980600936491
   Bulkeley H, 2013, ENVIRON POLIT, V22, P136, DOI 10.1080/09644016.2013.755797
   Cashmore M, 2014, GLOBAL ENVIRON CHANG, V24, P203, DOI 10.1016/j.gloenvcha.2013.09.019
   Dewulf A, 2013, WIRES CLIM CHANGE, V4, P321, DOI 10.1002/wcc.227
   Eakin H, 2016, REG ENVIRON CHANGE, V16, P801, DOI 10.1007/s10113-015-0789-y
   Glaas E, 2010, LOCAL ENVIRON, V15, P525, DOI 10.1080/13549839.2010.487525
   Godenhjelm S, 2015, INT J MANAG PROJ BUS, V8, DOI 10.1108/IJMPB-05-2014-0049
   Hall PA, 1996, POLIT STUD-LONDON, V44, P936, DOI 10.1111/j.1467-9248.1996.tb00343.x
   Harries T, 2011, GLOBAL ENVIRON CHANG, V21, P188, DOI 10.1016/j.gloenvcha.2010.09.002
   Hoffman AJ, 2011, STRATEG ORGAN, V9, P77, DOI 10.1177/1476127010395065
   Hotimsky S, 2006, ECOL SOC, V11
   Hukkinen J., 1999, Institutions in environmental management: Constructing mental models and sustainability
   Immergut EM, 1998, POLIT SOC, V26, P5, DOI 10.1177/0032329298026001002
   Inderberg TH, 2011, LOCAL ENVIRON, V16, P303, DOI 10.1080/13549839.2011.569538
   Ivey JL, 2004, ENVIRON MANAGE, V33, P36, DOI 10.1007/s00267-003-0014-5
   Jones L, 2011, GLOBAL ENVIRON CHANG, V21, P1262, DOI 10.1016/j.gloenvcha.2011.06.002
   Juhola S, 2011, ENVIRON POLIT, V20, P445, DOI 10.1080/09644016.2011.589571
   Juhola S, 2011, ENVIRON SCI POLICY, V14, P239, DOI 10.1016/j.envsci.2010.12.006
   Juntti M, 2009, ENVIRON SCI POLICY, V12, P207, DOI 10.1016/j.envsci.2008.12.007
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Klein J, 2016, REG ENVIRON CHANGE, V16, P815, DOI 10.1007/s10113-015-0797-y
   KOELBLE TA, 1995, COMP POLIT, V27, P231, DOI 10.2307/422167
   Lehmann P, 2015, MITIG ADAPT STRAT GL, V20, P75, DOI 10.1007/s11027-013-9480-0
   Lenton TM, 2008, P NATL ACAD SCI USA, V105, P1786, DOI 10.1073/pnas.0705414105
   Lorenz S., 2017, REGIONAL ENV CHANGE, V17, P1
   Mahoney James., 2010, Explaining Institutional Change: Ambiguity; Agency and Power, DOI DOI 10.1017/CBO9780511806414
   March J., 1989, Rediscovering institutions: The organizational basis of politics
   Massey E, 2016, REG ENVIRON CHANGE, V16, P553, DOI 10.1007/s10113-015-0771-8
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Mees HLP, 2012, J ENVIRON POL PLAN, V14, P305, DOI 10.1080/1523908X.2012.707407
   Mogelgaard K., 2016, WHAT DOES PARIS AGRE
   Næss LO, 2006, GLOBAL ENVIRON CHANG, V16, P221, DOI 10.1016/j.gloenvcha.2006.01.007
   Næss LO, 2005, GLOBAL ENVIRON CHANG, V15, P125, DOI 10.1016/j.gloenvcha.2004.10.003
   O'Brien K, 2007, CLIM POLICY, V7, P73, DOI 10.1080/14693062.2007.9685639
   O'Brien KL, 2016, WIRES CLIM CHANGE, V7, P618, DOI 10.1002/wcc.413
   O'Brien KL, 2000, GLOBAL ENVIRON CHANG, V10, P221, DOI 10.1016/S0959-3780(00)00021-2
   O'Riordan T, 1999, GLOBAL ENVIRON CHANG, V9, P81, DOI 10.1016/S0959-3780(98)00030-2
   Olson Mancur., 1965, The logic of collective action
   Olsson P, 2010, SPRINGER SER ENV MAN, P263, DOI 10.1007/978-3-642-12194-4_13
   Ostrom E., 1992, CRAFTING I SELF GOVE
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Peters BG, 2005, J POLIT, V67, P1275, DOI 10.1111/j.1468-2508.2005.00360.x
   Pierson Paul, 2004, POLITICS TIME
   Porter JJ, 2015, GLOBAL ENVIRON CHANG, V35, P411, DOI 10.1016/j.gloenvcha.2015.10.004
   Powell W.W., 1991, NEW I ORG ANAL CHICA
   Schmidt VA, 2008, ANNU REV POLIT SCI, V11, P303, DOI 10.1146/annurev.polisci.11.060606.135342
   Scott W.R, 1995, Institutions and Organizations
   Sjöblom S, 2009, J ENVIRON POL PLAN, V11, P169, DOI 10.1080/15239080903033762
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Steffen W, 2015, SCIENCE, V347, DOI 10.1126/science.1259855
   Storbjörk S, 2011, OCEAN COAST MANAGE, V54, P265, DOI 10.1016/j.ocecoaman.2010.12.007
   Tennekes J, 2014, J ENVIRON POL PLAN, V16, P241, DOI 10.1080/1523908X.2013.836961
   Termeer CJAM, 2017, J ENVIRON PLANN MAN, V60, P558, DOI 10.1080/09640568.2016.1168288
   Wilbanks TJ, 2010, ANN ASSOC AM GEOGR, V100, P719, DOI 10.1080/00045608.2010.500200
NR 69
TC 4
Z9 4
U1 0
U2 0
PU EDWARD ELGAR PUBLISHING LTD
PI CHELTENHAM
PA THE LYPIATTS, 15 LANSDOWN RD, CHELTENHAM GL50 2JA, GLOS, ENGLAND
BN 978-1-78643-252-0; 978-1-78643-251-3
PY 2019
BP 91
EP 107
D2 10.4337/9781786432520
PG 17
WC Environmental Sciences; Environmental Studies; Law
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH)
SC Environmental Sciences & Ecology; Government & Law
GA BP8YZ
UT WOS:000568538000005
DA 2025-01-10
ER

PT B
AU Simon, D
AF Simon, David
BE Simon, D
TI GREEN CITIES: FROM TOKENISM TO INCREMENTALISM AND TRANSFORMATION
SO RETHINKING SUSTAINABLE CITIES: ACCESSIBLE, GREEN AND FAIR
SE Policy Press Shorts
LA English
DT Article; Book Chapter
ID ECOSYSTEM SERVICES; SMART CITY; PERIURBAN AGRICULTURE;
   ENVIRONMENTAL-CHANGE; URBAN VULNERABILITY; CLIMATE ADAPTATION; ECO-CITY;
   RESILIENCE; CHALLENGES; ECONOMY
C1 [Simon, David] Chalmers Univ, Mistra Urban Futures, Gothenburg, Sweden.
   [Simon, David] Royal Holloway Univ London, Dev Geog, Egham, Surrey, England.
C3 Chalmers University of Technology; University of London; Royal Holloway
   University London
RP Simon, D (corresponding author), Chalmers Univ, Mistra Urban Futures, Gothenburg, Sweden.; Simon, D (corresponding author), Royal Holloway Univ London, Dev Geog, Egham, Surrey, England.
CR Adams W. M., 2008, GREEN DEV
   Adelekan I, 2015, INT DEV PLANN REV, V37, P33, DOI 10.3828/idpr.2015.4
   Adger WN, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P1, DOI 10.1017/CBO9780511596667.002
   Allen A., 2002, Sustainable urbanisation
   [Anonymous], 2016, 5 YEAR OVERVIEW REPO
   [Anonymous], 2013, STAT WORLDS CIT 2012
   [Anonymous], 2015, Principles for building resilience: sustaining ecosystem services in social-ecological systems, DOI [DOI 10.1017/CBO9781316014240.002, 10.1017/CBO9781316014240, DOI 10.1017/CBO9781316014240]
   [Anonymous], 2009, ADV URBAN ECOLOGY IN
   [Anonymous], 2014, GEF INV PAYM EC SERV
   [Anonymous], 1995, POLITICS ENVIRONMENT
   [Anonymous], 1987, Planning in the Public Domain: From Knowledge to Action
   [Anonymous], 2009, A Global Green New Deal: Policy Brief
   [Anonymous], 2012, SUST RES EFF CIT MAK
   [Anonymous], CLIMATE CHANGE CITY
   Berrisford S., 2014, AFRICAS URBAN REVOLU, P167
   Bicknell J., 2009, Adapting Cities to Climate Change: Understanding and Addressing the Development Challenges
   Bina O, 2013, ENVIRON PLANN C, V31, P1023, DOI 10.1068/c1310j
   Birkmann J, 2014, URBAN CLIM, V7, P115, DOI 10.1016/j.uclim.2014.01.006
   Birkmann J, 2010, SUSTAIN SCI, V5, P171, DOI 10.1007/s11625-010-0108-y
   Bolnick J., 2006, PROPOOR AGENDA AFRIC, V2
   Bond Patrick., 2012, Politics of Climate Justice: Paralysis Above, Movement Below
   Brockington D, 2015, THIRD WORLD Q, V36, P2197, DOI 10.1080/01436597.2015.1086639
   Brockington Dan., 2002, FORTRESS CONSERVATIO
   Broto VC, 2013, INT J URBAN REGIONAL, V37, P1934, DOI 10.1111/1468-2427.12050
   Brown M, 2012, URBAN PLAN ENV, P81
   Bulkeley H, 2013, LOCAL ENVIRON, V18, P646, DOI 10.1080/13549839.2013.788479
   Bunnell T, 2015, DIALOGUES HUM GEOGR, V5, P45, DOI 10.1177/2043820614565870
   Carmin J, 2012, J PLAN EDUC RES, V32, P18, DOI 10.1177/0739456X11430951
   CARTWRIGHT A., 2015, Better growth, better cities: Rethinking and redirecting urbanisation in Africa
   Cartwright Anton., 2012, Climate Change at the City Scale: Impacts, Mitigation and Adaptation in Cape Town
   Chang ICC, 2013, J URBAN TECHNOL, V20, P57, DOI 10.1080/10630732.2012.735104
   Chen HY, 2008, HABITAT INT, V32, P28, DOI 10.1016/j.habitatint.2007.06.005
   Cilliers S, 2013, URBAN ECOSYST, V16, P681, DOI 10.1007/s11252-012-0254-3
   City of Boulder, 2015, BOULD CLIM COMM
   Colding J, 2013, ECOL ECON, V86, P156, DOI 10.1016/j.ecolecon.2012.10.016
   Collins J., 1969, ZAMBIAN URBAN STUDIE, P2
   Collins J., 1980, Shaping an Urban World
   Cugurullo F, 2013, J URBAN TECHNOL, V20, P23, DOI 10.1080/10630732.2012.735105
   Datta A., 2014, GUARDIAN        0417
   Datta A, 2015, DIALOGUES HUM GEOGR, V5, P3, DOI 10.1177/2043820614565748
   Datta A, 2012, ENVIRON PLANN C, V30, P982, DOI 10.1068/c1205j
   Death C, 2015, THIRD WORLD Q, V36, P2207, DOI 10.1080/01436597.2015.1068110
   Death C, 2014, POLITIKON-UK, V41, P1, DOI 10.1080/02589346.2014.885668
   Dooling S, 2012, CITIES, NATURE AND DEVELOPMENT: THE POLITICS AND PRODUCTION OF URBAN VULNERABILITIES, P1
   Douglas I., 2013, CITIES ENV HIST LOND
   Elmqvist T, 2015, CURR OPIN ENV SUST, V14, P101, DOI 10.1016/j.cosust.2015.05.001
   Elmqvist T., 2013, A global assessment, P13, DOI [DOI 10.1007/978-94-007-7088-1, 10.1007/978-94-007-7088-1]
   Elmqvist T, 2016, ROUT INT HANDB, P139
   Forest Trends The Katoomba Group UNEP (United Nations Environment Programme), 2008, PAYM EC SERV
   Friend R, 2014, URBAN CLIM, V7, P6, DOI 10.1016/j.uclim.2013.08.001
   Fuller S., 2014, GLOBAL ENVIRON CHANG, V25, P1
   Giddens Anthony., 2009, POLITICS CLIMATE CHA
   Götz G, 2015, CURR OPIN ENV SUST, V13, P79, DOI 10.1016/j.cosust.2015.02.005
   Gómez-Baggethun E, 2013, ECOL ECON, V86, P235, DOI 10.1016/j.ecolecon.2012.08.019
   Greenfield A, 2015, DIALOGUES HUM GEOGR, V5, P40, DOI 10.1177/2043820614565869
   Hall P, 1996, CITIES TOMORROW UPDA
   Harris A, 2015, DIALOGUES HUM GEOGR, V5, P23, DOI 10.1177/2043820614565865
   Helm D., 2009, EC POLITICS CLIMATE
   Hodson M, 2010, RES POLICY, V39, P477, DOI 10.1016/j.respol.2010.01.020
   Hodson M, 2009, INT J URBAN REGIONAL, V33, P193, DOI 10.1111/j.1468-2427.2009.00832.x
   Hodson Mike, 2014, SUSTAINABLE CITIES
   Howard E., 1898, TO MORROW PEACEFUL P
   Hulme M, 2009, WHY WE DISAGREE ABOUT CLIMATE CHANGE: UNDERSTANDING CONTROVERSY, INACTION AND OPPORTUNITY, P1
   James SW, 2016, AUST GEOGR, V47, P179, DOI 10.1080/00049182.2015.1130676
   Jazeel T, 2015, DIALOGUES HUM GEOGR, V5, P27, DOI 10.1177/2043820614565866
   Kennedy CA, 2014, NAT CLIM CHANGE, V4, P343, DOI 10.1038/NCLIMATE2160
   Kernaghan S, 2014, URBAN CLIM, V7, P47, DOI 10.1016/j.uclim.2013.10.008
   Le Velly G, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0149374
   Leck H., 2015, Current Opinion in Environmental Sustainability, V13, P61, DOI [10.1016/j.cosust.2015.02.004, DOI 10.1016/J.COSUST.2015.02.004]
   Lindley S.J., 2015, Urban Vulnerability and Climate Change in Africa, P107, DOI DOI 10.1007/978-3-319-03982-4_4
   Luccarelli M, 2012, URBAN PLAN ENV, P1
   Luccarelli M, 2012, URBAN PLAN ENV, P1
   Luederitz C, 2015, ECOSYST SERV, V14, P98, DOI 10.1016/j.ecoser.2015.05.001
   Luque A., 2014, After Sustainable Cities?, P74
   Lwasa S, 2015, CURR OPIN ENV SUST, V13, P68, DOI 10.1016/j.cosust.2015.02.003
   Marcus L, 2014, ECOL SOC, V19, DOI 10.5751/ES-06939-190455
   Meinhold B., 2009, SONGDO IBD S KOREAS
   Muller N, 2010, URBAN BIODIVERSITY D, DOI 10.1002/9781444318654.ch32
   Murphy J, 2000, GEOFORUM, V31, P1, DOI 10.1016/S0016-7185(99)00039-1
   Myers Garth., 2016, URBAN ENV AFRICA CRI, V1st
   Nagendra Harini., 2016, NATURE CITY BENGALUR, DOI [10.1093/acprof:oso/9780199465927.001.0001, DOI 10.1093/ACPROF:OSO/9780199465927.001.0001]
   Newman P., 2009, Resilient cities: responding to peak oil and climate change
   Perrot R, 2015, EARTH WIND FIRE UNPA, P31
   Prakash Vikramaditya., 2002, CHANDIGARHS CORBUSIE
   Richter M, 2012, APPLIED URBAN ECOLOGY : A GLOBAL FRAMEWORK, P1
   Roberts D, 2012, ENVIRON URBAN, V24, P167, DOI 10.1177/0956247811431412
   Rojas E., 2009, CONSTRUIR CUIDADES M, P219
   Romero-Lankao P, 2012, GLOBAL ENVIRON CHANG, V22, P670, DOI 10.1016/j.gloenvcha.2012.04.002
   Ross P., 2014, 21st Century Garden Cities of To--Morrow: A manifesto
   Schuyler D., 2002, GARDEN CITY GREEN CI
   Scoones I, 2015, PATHWAY SUSTAIN, P1
   Sderstrm O., 2014, City, V18, P307, DOI [10.1080/13604813.2014.906716, DOI 10.1080/13604813.2014.906716]
   Seeliger L., 2015, Urban Forum, V26, P321, DOI DOI 10.1007/S12132-015-9254-8
   Shwayri ST, 2013, J URBAN TECHNOL, V20, P39, DOI 10.1080/10630732.2012.735409
   Silva P., 2016, SUSTAINABLE CITIES D
   Silver J, 2013, LOCAL ENVIRON, V18, P643, DOI 10.1080/13549839.2013.800317
   Simon D., 2012, The Routledge handbook of hazards and disaster risk reduction, P207
   Simon D, 2016, ROUT INT HANDB, P455
   Simon D, 2016, WATER SCI TECHNOL LI, V72, P57, DOI 10.1007/978-3-319-28112-4_5
   Simon D, 2015, CURR OPIN ENV SUST, V13, P109, DOI 10.1016/j.cosust.2015.03.003
   Simon D, 2013, LOCAL ECON, V28, P203, DOI 10.1177/0269094212463674
   Simon D, 2010, CLIM DEV, V2, P263, DOI 10.3763/cdev.2010.0051
   Simon David., 2003, Progress in Development Studies, V3, P5
   Sutcliffe Anthony., 1981, PLANNED CITY GERMANY
   Swilling M., 2016, Greening the South African Economy: Scoping the Issues, Challenges and Opportunities
   Sygna L., 2013, A Changing Environment For Human Security: Transformative Approaches To Research, Policy And Action
   TCPA (Town and Country Planning Association), 2016, GARD CIT PRINC
   ten Brink Patrick., 2011, The Economics of Ecosystems and Biodiversity in National and International Policy Making
   Trundle A, 2016, ROUT INT HANDB, P276
   UNEP, 2011, A Synthesis for Policy Makers
   van Zoest J, 2014, URBAN CLIM, V7, P107, DOI 10.1016/j.uclim.2014.01.005
   Watson V, 2015, DIALOGUES HUM GEOGR, V5, P36, DOI 10.1177/2043820614565868
   Whitehead J., 2007, Nationalizing Crises: The Political Economy of Public Policy in Contemporary India, P261
   Wisner Ben., 2012, ROUTLEDGE HDB HAZARD, DOI DOI 10.4324/9780203844236
   Wong PP, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P361
   World Commission on Environment and Development, 1987, OUR COMMON FUTURE
   ,, 2007, Climate change 2007: Synthesis Report. Contribution of Working Group I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Summary for Policymakers
NR 118
TC 4
Z9 4
U1 0
U2 0
PU POLICY PRESS
PI BRISTOL
PA UNIV BRISTOL, 4TH FLOOR, BEACON HOUSE, QUEENS ROAD, BRISTOL, BS8 1QU,
   ENGLAND
BN 978-1-4473-3284-8; 978-1-4473-3285-5
J9 POL PRESS SHORT
PY 2016
BP 61
EP 105
PG 45
WC Green & Sustainable Science & Technology; Urban Studies
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH)
SC Science & Technology - Other Topics; Urban Studies
GA BN1RQ
UT WOS:000475465200004
DA 2025-01-10
ER

PT J
AU Lockwood, JW
   Oppenheimer, M
   Lin, N
   Gourevitch, J
AF Lockwood, Joseph W.
   Oppenheimer, Michael
   Lin, Ning
   Gourevitch, Jesse
TI Socioeconomic distributional impacts of evaluating flood mitigation
   activities using equity-weighted benefit-cost analysis
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE flood adaptation; benefit-cost analysis; distributional inequalities
ID DAMAGE
AB As the global impact of climate change intensifies, there is an urgent need for equitable and efficient climate adaptation policies. Traditional approaches for allocating public resources for climate adaptation that are based on economic benefit-cost analysis often overlook the resulting distributional inequalities. In this study, we apply equity weightings to mitigate the distributional inequalities in two key building and household level adaptation strategies under changing coastal flood hazards: property buyouts and building retrofit in New York City (NYC). Under a mid-range emissions scenario, we find that unweighted benefit cost ratios applied to residential buildings are higher for richer and non-disadvantaged census tracts in NYC. The integration of income-based equity weights alters this correlation effect, which has the potential to shift investment in mitigation towards poorer and disadvantaged census tracts. This alteration is sensitive to the value of elasticity of marginal utility, the key parameter used to calculate the equity weight. Higher values of elasticity of marginal utility increase benefits for disadvantaged communities but reduce the overall economic benefits from investments, highlighting the trade-offs in incorporating equity into adaptation planning.
C1 [Lockwood, Joseph W.; Oppenheimer, Michael] Princeton Univ, Dept Geosci, Princeton, NJ 08544 USA.
   [Oppenheimer, Michael] Princeton Univ, Princeton Sch Publ & Int Affairs, Princeton, NJ 08544 USA.
   [Oppenheimer, Michael] High Meadows Environm Inst, Princeton, NJ USA.
   [Lin, Ning] Princeton Univ, Civil & Environm Engn, Princeton, NJ 08544 USA.
   [Gourevitch, Jesse] Environm Def Fund, Econ Team, Washington, DC USA.
C3 Princeton University; Princeton University; Princeton University;
   Environmental Defense Fund
RP Lockwood, JW (corresponding author), Princeton Univ, Dept Geosci, Princeton, NJ 08544 USA.
EM jl115@princeton.edu
RI Oppenheimer, Michael/ACV-2153-2022
OI Lin, Ning/0000-0002-5571-1606; Lockwood, Joseph/0000-0001-9564-448X;
   Gourevitch, Jesse/0000-0002-2738-1873
FU Directorate for STEM Educationhttp://dx.doi.org/10.13039/100020475
   [2103754]; U.S. National Science Foundation; High Meadows Environmental
   Institute at Princeton University; William Clay Ford
FX This study was supported by the U.S. National Science Foundation Grant
   2103754 as part of the Megalopolitan Coastal Transformation Hub. This
   material is based upon work supported by the High Meadows Environmental
   Institute at Princeton University through the generous support of the
   William Clay Ford, Jr '79 and Lisa Vanderzee Ford '82 Graduate
   Fellowship Fund.
CR Acland D, 2023, J BENEFIT-COST ANAL, V14, P386, DOI 10.1017/bca.2023.29
   Aerts JCJH, 2014, SCIENCE, V344, P472, DOI 10.1126/science.1248222
   Aerts JCJH, 2018, ANN NY ACAD SCI, V1427, P1, DOI 10.1111/nyas.13917
   [Anonymous], 2022, The Green Book
   Anthoff D, 2009, ECOL ECON, V68, P836, DOI 10.1016/j.ecolecon.2008.06.017
   Lebbe TB, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.740602
   City of New York, 2023, NYC Digital Elevation Model: 1 Foot Digital Elevation Model (DEM)
   Collins TW, 2019, ENVIRON RES, V179, DOI 10.1016/j.envres.2019.108772
   Federal Emergency Management Agency, 2023, Showing cost-effectiveness, when you apply for building resilient infrastructure and communities (BRIC) funds
   Federal Emergency Management Agency, 2009, Hazus-MH MR4 Flood Model Technical Manual
   Federal Insurance and Mitigation Administration, 2009, Homeowners Guide to Retrofitting, V2nd edn
   Fothergill A, 1999, DISASTERS, V23, P156, DOI 10.1111/1467-7717.00111
   Fox-Kemper B., 2021, Ocean, Cryosphere and Sea Level Change, DOI [10.1017/9781009157896.011, DOI 10.1017/9781009157896.011]
   Frontuto V, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su122310068
   Garner GG, 2021, Zenodo, DOI 10.5281/ZENODO.6382554
   Gori A, 2022, NAT CLIM CHANGE, V12, P171, DOI 10.1038/s41558-021-01272-7
   Gourevitch JD, 2020, GLOBAL ENVIRON CHANG, V61, DOI 10.1016/j.gloenvcha.2020.102050
   Griggs G, 2021, WATER-SUI, V13, DOI 10.3390/w13162151
   Haasnoot M, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab666c
   Hallsén S, 2021, ECNU REV EDUC, V4, P476, DOI [10.1177/2096531120952096, 10.1007/s41885-020-00060-5]
   Han Y, 2021, CLIM RISK MANAG, V32, DOI 10.1016/j.crm.2021.100305
   Kind J, 2020, ENVIRON DEV ECON, V25, P115, DOI 10.1017/S1355770X19000275
   Lin N, 2012, NAT CLIM CHANGE, V2, P462, DOI 10.1038/NCLIMATE1389
   New York City Department of City Planning, 2023, MapPLUTO Database
   New York State Climate Justice Working Group, 2023, Technical Report
   Office of Management Budget, 2023, Circular No. A-4: Explanation and Response to Public Input
   Olsen AS, 2015, WATER-SUI, V7, P255, DOI 10.3390/w7010255
   Orton P, 2015, ANN NY ACAD SCI, V1336, P56, DOI 10.1111/nyas.12589
   Peng BB, 2018, WATER-SUI, V10, DOI 10.3390/w10020169
   PINDYCK RS, 1988, AM ECON REV, V78, P969
   Qiang Y, 2019, J ENVIRON MANAGE, V232, P295, DOI 10.1016/j.jenvman.2018.11.039
   Robinson LA, 2016, REV ENV ECON POLICY, V10, P308, DOI 10.1093/reep/rew011
   Sinden A., 2019, ENVIRON LAW, V49, P73
   United States Census Bureau, 2022, 2019 American Community Survey 1-Year Estimates
   Viscusi WK, 2017, J BENEFIT-COST ANAL, V8, P226, DOI 10.1017/bca.2017.12
   Viscusi WK, 2003, J RISK UNCERTAINTY, V27, P5, DOI 10.1023/A:1025598106257
   Weitzman ML, 2013, J ECON LIT, V51, P873, DOI 10.1257/jel.51.3.873
   White House, 2023, Circular A-4
   White House Council on Environmental Quality and U.S. Digital Service, 2022, Technical Report
   Wing OEJ, 2022, NAT CLIM CHANGE, V12, P156, DOI 10.1038/s41558-021-01265-6
   Xi DZ, 2023, NAT CLIM CHANGE, V13, P258, DOI 10.1038/s41558-023-01595-7
NR 41
TC 0
Z9 0
U1 7
U2 8
PU IOP Publishing Ltd
PI BRISTOL
PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
SN 1748-9326
J9 ENVIRON RES LETT
JI Environ. Res. Lett.
PD JUL 1
PY 2024
VL 19
IS 7
AR 074024
DI 10.1088/1748-9326/ad4ef8
PG 9
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA UO3Q1
UT WOS:001248964100001
OA gold
DA 2025-01-10
ER

PT J
AU Xu, RB
   Yu, P
   Liu, YM
   Chen, GB
   Yang, ZY
   Zhang, YW
   Wu, Y
   Beggs, P
   Zhang, Y
   Boocock, J
   Ji, F
   Hanigan, I
   Jay, O
   Bi, P
   Vargas, N
   Leder, K
   Green, D
   Quail, K
   Huxley, R
   Jalaludin, B
   Hu, WB
   Dennekamp, M
   Vardoulakis, S
   Bone, A
   Abrahams, J
   Johnston, FH
   Broome, R
   Capon, T
   Li, SS
   Guo, YM
AF Xu, Rongbin
   Yu, Pei
   Liu, Yanming
   Chen, Gongbo
   Yang, Zhengyu
   Zhang, Yiwen
   Wu, Yao
   Beggs, PaulJ.
   Zhang, Ying
   Boocock, Jennifer
   Ji, Fei
   Hanigan, Ivan
   Jay, Ollie
   Bi, Peng
   Vargas, Nicole
   Leder, Karin
   Green, Donna
   Quail, Katie
   Huxley, Rachel
   Jalaludin, Bin
   Hu, Wenbiao
   Dennekamp, Martine
   Vardoulakis, Sotiris
   Bone, Angie
   Abrahams, Jonathan
   Johnston, Fay H.
   Broome, Richard
   Capon, Tony
   Li, Shanshan
   Guo, Yuming
TI Climate change, environmental extremes, and human health in Australia:
   challenges, adaptation strategies, and policy gaps
SO LANCET REGIONAL HEALTH-WESTERN PACIFIC
LA English
DT Article
DE Climate change; Health impacts; Risk assessment; Climate adaptation;
   Policy gaps
ID INDIGENOUS COMMUNITIES; COOLING STRATEGIES; AIR-POLLUTION; HEAT
   EXTREMES; MENTAL-HEALTH; HOT WEATHER; IMPACTS; QUEENSLAND; RISK;
   VULNERABILITY
AB Climate change presents a major public health concern in Australia, marked by unprecedented wildfires, heatwaves, floods, droughts, and the spread of climate-sensitive infectious diseases. Despite these challenges, Australia's response to the climate crisis has been inadequate and subject to change by politics, public sentiment, and global developments. This study illustrates the spatiotemporal patterns of selected climate-related environmental extremes (heatwaves, wildfires, floods, and droughts) across Australia during the past two decades, and summarizes climate adaptation measures and actions that have been taken by the national, state/territory, and local governments. Our findings reveal significant impacts of climate-related environmental extremes on the health and well-being of Australians. While governments have implemented various adaptation strategies, these plans must be further developed to yield concrete actions. Moreover, Indigenous Australians should not be left out in these adaptation efforts. A collaborative, comprehensive approach involving all levels of government is urgently needed to prevent, mitigate, and adapt to the health impacts of climate change.
C1 [Xu, Rongbin; Yu, Pei; Liu, Yanming; Chen, Gongbo; Yang, Zhengyu; Zhang, Yiwen; Wu, Yao; Li, Shanshan; Guo, Yuming] Monash Univ, Sch Publ Hlth & Prevent Med, Climate Air Qual Res Unit, Level 2,553 St Kilda Rd, Melbourne, Vic 3004, Australia.
   [Beggs, PaulJ.] Macquarie Univ, Fac Sci & Engn, Sch Nat Sci, Sydney, NSW 2109, Australia.
   [Zhang, Ying] Univ Sydney, Sydney Sch Publ Hlth, Sydney, NSW 2006, Australia.
   [Boocock, Jennifer; Johnston, Fay H.] Univ Tasmania, Menzies Inst Med Res, Hobart, Tas 7005, Australia.
   [Ji, Fei] NSW Dept Planning & Environm, Sydney, NSW 2150, Australia.
   [Hanigan, Ivan] Curtin Univ, WHO Collaborating Ctr Climate Change & Hlth Impact, Sch Populat Hlth, Perth, WA 6102, Australia.
   [Jay, Ollie; Vargas, Nicole] Univ Sydney, Fac Med & Hlth, Heat & Hlth Res Incubator, Sydney, NSW 2006, Australia.
   [Bi, Peng] Univ Adelaide, Sch Publ Hlth, Adelaide, SA 5005, Australia.
   [Vargas, Nicole] Australian Natl Univ, Coll Hlth & Med, Sch Med & Psychol, Canberra, ACT 2601, Australia.
   [Leder, Karin] Monash Univ, Sch Publ Hlth & Prevent Med, Melbourne, Vic 3004, Australia.
   [Green, Donna; Quail, Katie] Univ New South Wales, Sch Biol Earth & Environm Sci, Sydney, NSW 2052, Australia.
   [Huxley, Rachel] Deakin Univ, Fac Hlth, Melbourne, Vic 3125, Australia.
   [Jalaludin, Bin] Univ New South Wales, Sch Populat Hlth, Sydney, NSW 2052, Australia.
   [Hu, Wenbiao] Queensland Univ Technol, Sch Publ Hlth & Social Work, Brisbane, Qld 4000, Australia.
   [Dennekamp, Martine] Environm Protect Author Victoria, Melbourne, Vic 3053, Australia.
   [Vardoulakis, Sotiris] Australian Natl Univ, Coll Hlth & Med, Hlth Environm & Lives HEAL Natl Res Network, Canberra, ACT 2601, Australia.
   [Bone, Angie; Capon, Tony] Monash Univ, Monash Sustainable Dev Inst, Melbourne, Vic 3800, Australia.
   [Abrahams, Jonathan] Monash Univ Disaster Resilience Initiat, Melbourne, Vic 3800, Australia.
   [Broome, Richard] New South Wales Minist Hlth, Sydney, NSW 2065, Australia.
C3 Monash University; Macquarie University; University of Sydney;
   University of Tasmania; Menzies Institute for Medical Research; Curtin
   University; University of Sydney; University of Adelaide; Australian
   National University; Monash University; University of New South Wales
   Sydney; Deakin University; University of New South Wales Sydney;
   Queensland University of Technology (QUT); Australian National
   University; Monash University; Monash University
RP Li, SS; Guo, YM (corresponding author), Monash Univ, Sch Publ Hlth & Prevent Med, Climate Air Qual Res Unit, Level 2,553 St Kilda Rd, Melbourne, Vic 3004, Australia.
EM shanshan.li@monash.edu; yuming.guo@monash.edu
RI Zhang, Ying/ABE-2275-2021; Hu, Wenbiao/JGM-8073-2023; Leder,
   Karin/AAD-2388-2019; Li, Shanshan/HLH-7747-2023; Jay,
   Ollie/AAD-8009-2020; liu, yanming/AAY-1128-2020; Guo,
   Yuming/KPY-0363-2024; Beggs, Paul/AFM-3820-2022; Bone,
   Angie/KZU-6514-2024; Boocock, Jennifer/LWH-7485-2024; Zhang,
   Yiwen/GWM-7219-2022; Vardoulakis, Sotiris/KCY-7846-2024; Johnston,
   Fay/AFV-3685-2022; Vargas, Nicole/AAG-7349-2020; Guo, Yuming/I-8353-2018
OI Li, Shanshan/0000-0002-9021-8470; Vargas, Nicole/0000-0002-2634-7120;
   Hu, Wenbiao/0000-0001-6422-9240; Xu, Rongbin/0000-0003-1906-8614; Zhang,
   Ying/0000-0001-6214-2440; Capon, Anthony/0000-0003-0354-6810; Abrahams,
   Jonathan/0000-0003-2062-3494; Beggs, Paul/0000-0001-9949-1783; Boocock,
   Jennifer/0000-0003-4190-4180; Yang, Zhengyu/0000-0001-7291-4475; Liu,
   Yanming/0000-0001-8599-7118; Guo, Yuming/0000-0002-1766-6592
FU VicHealth Postdoctoral Research Fellowships; Monash FMNHS Early Career
   Postdoctoral Fellowships; National Health and Medical Research Council
   (NHMRC) Emerging Leader Fellowship [202006010044]; Monash Graduate
   Scholarship; Monash International Tuition Scholarship; China Scholarship
   Council funds [GNT2000581]; NHMRC e-Asia Joint Research Program Grant
   [GNT1163693]; NHMRC [2008937]; Australian HEAL (Healthy Environments And
   Lives) National Research Network - NHMRC Special Initiative in Human
   Health and Environmental Change [GNT2008813]; Resilience NSW; NHMRC
   Fellowship; Heat and Health Research Incubator, Faculty of Medicine,
   University of Sydney; Tennis Australia; Wellcome Trust;  [GNT2009866]; 
   [APP1155005]
FX RX was supported by the VicHealth Postdoctoral Research Fellowships
   2022. PY and GC were supported by the Monash FMNHS Early Career
   Postdoctoral Fellowships 2023. SL was supported by the National Health
   and Medical Research Council (NHMRC) Emerging Leader Fellowship (grant
   number GNT2009866) . ZY is supported by Monash Graduate Scholarship and
   Monash International Tuition Scholarship. YW is supported by China
   Scholarship Council funds (grant number 202006010044) . YZ was supported
   by NHMRC e-Asia Joint Research Program Grant (grant number GNT2000581) .
   YG was supported by the NHMRC Career Development Fellowship (grant
   number GNT1163693) and Leader Fellowship (grant number GNT2008813) . SV,
   IH, BJ, WH, FHJ, and MD were supported by the Australian HEAL (Healthy
   Environments And Lives) National Research Network, funded by the NHMRC
   Special Initiative in Human Health and Environmental Change (grant
   number 2008937) . KL was supported by a NHMRC Fellowship (grant number
   APP1155005) . NV was supported by the Heat and Health Research
   Incubator, Faculty of Medicine, University of Sydney. OJ was supported
   by fundings of NHMRC, Resilience NSW, Tennis Australia, and Wellcome
   Trust.
CR AAHMS, 2022, Climate change: an urgent health priority
   Aguilera R, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-21708-0
   Alderman K, 2013, DISASTER MED PUBLIC, V7, P380, DOI 10.1017/dmp.2013.42
   Alexander J, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-65635-4
   [Anonymous], 2006, Climate change and health: impacts on remote Indigenous communities in Northern Australia
   [Anonymous], 2016, ACT climate change adaptation strategy living with a warming climate
   [Anonymous], 2013, South Australian integrated climate change adaptation
   [Anonymous], 2019, Australian Government Drought Response, Resilience and Preparedness Plan
   [Anonymous], 2022, ABC NEWS
   [Anonymous], 2022, Climate resilient WA guidance directions for the state's climate adaptation strategy
   Australia Government Department of Climate Change Energy the Environment and Water, 2015, National climate resilience and adaptation strategy 2015
   Australia GoW, 2022, State emergency management policy
   Australian Academy of Science, 2021, The risks to Australia of a 3c warmer world
   Australian Bureau of Meteorology, 2023, Historical droughts
   Australian Bureau of Statistics, 2022, 50 Years of Capital City Population Change
   Australian Centre for Disease Control, 2023, About the CDC
   Australian Government, 2021, National climate resilience and adaptation strategy
   Australian Government Bureau of Meteorology, 2022, Special Climate Statement 76-Extreme rainfall and flooding in south-eastern Queensland and eastern New South Wales
   Australian Government Department of Health and Aged Care, 2023, Australia's first National health and climate strategy kicks off
   Australian Government Department of Health and Aged Care, 2022, New team and strategy to lead response to health and wellbeing impacts of climate change
   Australian Government Department of Home Affairs, 2018, National disaster risk reduction framework
   Australian Institute for Disaster Resilience and Australian National Emergency Management Agency, Australian warning syetem
   Beggs PJ, 2022, MED J AUSTRALIA, V217, P439, DOI 10.5694/mja2.51742
   Beggs PJ, 2021, MED J AUSTRALIA, V215, DOI 10.5694/mja2.51302
   Bernath P, 2022, SCIENCE, V375, P1292, DOI 10.1126/science.abm5611
   Berry Helen L, 2010, N S W Public Health Bull, V21, P139, DOI 10.1071/NB10030
   Bi P, 2009, EPIDEMIOL INFECT, V137, P1486, DOI 10.1017/S0950268809002441
   Bi P, 2008, J INFECTION, V57, P317, DOI 10.1016/j.jinf.2008.08.004
   Bin Maideen MF, 2023, ERGONOMICS, V66, P1935, DOI 10.1080/00140139.2023.2172212
   BOM CSIRO State of the Climate, 2022, Bureau of Meteorology
   Arriagada NB, 2020, MED J AUSTRALIA, DOI [10.5694/mja2.50545, 10.5694.mja2.50545]
   Bowman D, 2018, FIRE-BASEL, V1, DOI 10.3390/fire1020027
   Boylan S, 2018, PUBLIC HEALTH RES PR, V28, DOI 10.17061/phrp2841826
   Bragge P., 2021, Climate Change and Australia's Health Systems: A Review of Literature, Policy and Practice
   Brakenridge G.R., Global Active Archive of Large Flood Events, 1985-Present
   Bureau of Meteorology, ABOUT US
   Burgess CP, 2009, MED J AUSTRALIA, V190, P567, DOI 10.5694/j.1326-5377.2009.tb02566.x
   Campbell S, 2015, HEALTH PROMOT J AUST, V26, P161, DOI 10.1071/HE14090
   Cardinia Municipal Emergency Management Planning Committee, Cardinia Municipal fire management plan 2022-2025
   Cheng J, 2020, PLOS NEGLECT TROP D, V14, DOI 10.1371/journal.pntd.0007997
   City of Sydney, 2017, Floodplain management plans
   Clar C, 2019, J ENVIRON PLANN MAN, V62, P2166, DOI 10.1080/09640568.2018.1536604
   Council of Australian Governments, 2011, NAT STRAT DIS RES
   CSIRO, National AQFx prototype system
   CSIRO, 2022, State of the Climate
   Davies J, 2011, RANGELAND J, V33, P417, DOI 10.1071/RJ11031
   Davis C, 2021, ENVIRON RES, V195, DOI 10.1016/j.envres.2021.110849
   De Leo D, 2013, J LOSS TRAUMA, V18, P170, DOI 10.1080/15325024.2012.684581
   Deb P, 2020, EARTHS FUTURE, V8, DOI 10.1029/2020EF001671
   DeNicola E, 2015, ANN GLOB HEALTH, V81, P342, DOI 10.1016/j.aogh.2015.08.005
   Department of Health and Human Services, 2020, Guidance for local government - supporting people when air quality is heavily impacted by bushfire smoke
   Ding H, 2019, J THORAC DIS, V11, pS2210, DOI 10.21037/jtd.2019.10.17
   Ebi KL, 2021, LANCET, V398, P698, DOI 10.1016/S0140-6736(21)01208-3
   Ebi KL, 2013, CLIMATIC CHANGE, V118, P355, DOI 10.1007/s10584-012-0648-5
   Ellemor H., 2005, ENV HAZARD, V6, P1, DOI DOI 10.1016/J.HAZARDS.2004.08.001
   Emergency Management Victoria, 2022, Standard for smoke
   Emergency Management Victoria, 2018, Emergency management manual Victoria. Part 7: Emergency management agency roles
   Environmental Health Standing Committee (enHealth) of the Australia Health Protection Principal Committee, enHealth guidance for public health agenciesmanaging prolonged smoke events from landscape fires
   Fair Work Ombudsman, Pay during inclement or severe weather & natural disasters
   Finlay Sarah Elise, 2012, PLoS Curr, V4, pe4f959951cce2c, DOI 10.1371/4f959951cce2c
   Franklin RC, 2023, INT J BIOMETEOROL, V67, P503, DOI 10.1007/s00484-023-02430-6
   Friel S, 2014, BMC PUBLIC HEALTH, V14, DOI 10.1186/1471-2458-14-1102
   Geoscience Australia, Australian Flood Risk Information Portal
   Green D, 2012, LOCAL ENVIRON, V17, P295, DOI 10.1080/13549839.2012.665857
   Green D, 2010, CLIMATIC CHANGE, V100, P337, DOI 10.1007/s10584-010-9803-z
   Green D, 2009, MED J AUSTRALIA, V190, P4, DOI 10.5694/j.1326-5377.2009.tb02250.x
   Gunasiri H, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19095528
   Hanigan IC, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19137855
   Hanigan IC, 2018, ECOHEALTH, V15, P642, DOI 10.1007/s10393-018-1339-0
   HEAL, 2023, HEAL network
   HEAL Network, 2021, CRE-STRIDE 2021. Climate change and Aboriginal and Torres Strait Islander health, Discussion paper
   Heckbert S, 2012, AUSTRAL ECOL, V37, P724, DOI 10.1111/j.1442-9993.2012.02408.x
   Heenan M, 2023, MED J AUSTRALIA, V218, P196, DOI 10.5694/mja2.51857
   Hime NJ, 2022, AUST NZ J PUBL HEAL, V46, P842, DOI 10.1111/1753-6405.13283
   Howden M, 2014, WEATHER CLIM EXTREME, V3, P80, DOI 10.1016/j.wace.2014.04.006
   Hu WB, 2012, ENVIRON HEALTH PERSP, V120, P260, DOI 10.1289/ehp.1003270
   Hughes N., 2019, The effects of drought and climate variability on Australian farms
   Hunt J, 2008, RES MG CENT ABORIG E, P27
   Insurance Council of Australia, 2022, 2022 Flood Now Third Costliest Natural Disaster Ever
   Jay O, 2021, LANCET, V398, P709, DOI 10.1016/S0140-6736(21)01209-5
   Jegasothy E, 2023, ENVIRON INT, V171, DOI 10.1016/j.envint.2022.107684
   Johnston FH, 2021, NAT SUSTAIN, V4, P42, DOI 10.1038/s41893-020-00610-5
   Kollanus V, 2016, ENVIRON RES, V151, P351, DOI 10.1016/j.envres.2016.08.003
   Lal A, 2018, J WATER HEALTH, V16, P1033, DOI 10.2166/wh.2018.199
   Lancet Countdown, 2023, Our team
   Langton M., 2012, National Climate Change Adaptation Research Plan for Indigenous Communities
   Lee Grace W, 2023, Int J Environ Res Public Health, V20, DOI 10.3390/ijerph20136285
   Lee J, 2020, PROG DISASTER SCI, V8, DOI 10.1016/j.pdisas.2020.100123
   Leonard S, 2013, GLOBAL ENVIRON CHANG, V23, P623, DOI 10.1016/j.gloenvcha.2013.02.012
   Lu XT, 2022, PARASITE VECTOR, V15, DOI 10.1186/s13071-022-05453-x
   Maru YT, 2011, Current and potential applications of typologies in vulnerability assessments and adaptation science
   Matthews V, 2019, FRONT PUBLIC HEALTH, V7, DOI 10.3389/fpubh.2019.00367
   Matthies F., 2008, HEAT HLTH ACTION PLA
   Matz CJ, 2020, SCI TOTAL ENVIRON, V725, DOI 10.1016/j.scitotenv.2020.138506
   McCarthy N., 2020, 3 billion animals were impacted by Australia's bushfires
   McClymont H, 2022, ISEE C ABSTRACTS
   McClymont H, 2022, ONE HEALTH-AMSTERDAM, V14, DOI 10.1016/j.onehlt.2022.100371
   MCKEE TB, 1993, P 8 C APPL CLIM AN C
   McLean KirstyGalloway., 2010, Advance Guard: Climate change impacts, adaptation, mitigation, and Indigenous peoples
   Mellish S, 2024, PSYCHOL TRAUMA-US, V16, P292, DOI 10.1037/tra0001323
   Milazzo A, 2016, EPIDEMIOL INFECT, V144, P1231, DOI 10.1017/S0950268815002587
   Milazzo A, 2016, J INFECTION, V73, P231, DOI 10.1016/j.jinf.2016.04.034
   Miller 4Kylie, 2022, FOODBANK HUNGER REPO
   Minister for Transport and Main Roads, 2022, Big wet continues to impact public transport
   Morris NB, 2021, LANCET PLANET HEALTH, V5, pE368, DOI 10.1016/S2542-5196(21)00136-4
   Murphy AK, 2022, PLOS NEGLECT TROP D, V16, DOI 10.1371/journal.pntd.0010478
   Nadel E.R., 1977, PROBLEMS TEMPERATURE
   Nairn JR, 2015, INT J ENV RES PUB HE, V12, P227, DOI 10.3390/ijerph120100227
   National Emergency Management Agency, About us
   National health and climate strategy, 2023, About us
   NCCARF, 2023, About NCCARF
   Nguyen H, 2021, WEATHER CLIM EXTREME, V32, DOI 10.1016/j.wace.2021.100321
   Northern Territory Government, 2021, Territory emergency plan
   Norval M, 2011, PHOTOCH PHOTOBIO SCI, V10, P199, DOI 10.1039/c0pp90044c
   NSW Government, 2016, NSW heat vulnerability index to ABS statistical area level 1
   NSW Government, 2022, New South Wales flood risk management manual
   Nursey-Bray M., 2013, Community Based Adaptation to Climate Change: the Arabana, South Australia
   Nursey-Bray M, 2019, LOCAL ENVIRON, V24, P473, DOI 10.1080/13549839.2019.1590325
   O'Neill C, 2012, LOCAL ENVIRON, V17, P1104, DOI 10.1080/13549839.2012.716405
   Oliveira AS, 2023, INT J DISAST RISK RE, V93, DOI 10.1016/j.ijdrr.2023.103788
   PANDOLF KB, 1992, AM J PHYSIOL, V262, pR610, DOI 10.1152/ajpregu.1992.262.4.R610
   Paterson DL, 2018, CLIN INFECT DIS, V67, P1450, DOI 10.1093/cid/ciy227
   Petheram L, 2010, GLOBAL ENVIRON CHANG, V20, P681, DOI 10.1016/j.gloenvcha.2010.05.002
   Pittock J, 2023, AUSTRALAS J WAT RESO, V27, P1, DOI 10.1080/13241583.2023.2190493
   Puszka S, 2021, Interaction, V49, P23
   Queensland Fire and Emergency Services, Current bushfires and warnings
   Queensland Government, Smoke and dust health action levels
   Queensland Government, 2022, Queensland climate adaptation strategy 2017 - 2030
   Queensland Government, 2018, Human health and wellbeing climate change adaptation plan for Queensland
   Queensland Health, Bushfire smoke warning: health advice
   Queensland Reconstruction Authority, 2019, Brisbane River Strategic Floodplain Management Plan
   Queensland Reconstruction Authority, 2021, Queensland flood risk management framework
   Reisen F, 2022, Smoke forecasting using AQFx for the 2019-2020 summer bushfires
   Resnik DB, 2022, BIOETHICS, V36, P735, DOI 10.1111/bioe.13042
   Rodney RM, 2021, FRONT PUBLIC HEALTH, V9, DOI 10.3389/fpubh.2021.682402
   Ross H, 2009, AUSTRALAS J ENVIRON, V16, P242
   Royal Commission into National Natural Disaster Arrangements, 2020, ROYAL COMM NAT NAT D
   Safe Work Australia, Bushfire smoke impacts in the workplace
   Santamouris M, 2020, ENERG BUILDINGS, V207, DOI 10.1016/j.enbuild.2019.109482
   Sciberras E, 2022, CHILD ADOL MENT H-UK, V27, P22, DOI 10.1111/camh.12521
   Sharpe I, 2021, BMJ OPEN, V11, DOI 10.1136/bmjopen-2021-051908
   Shill J, 2021, MED J AUSTRALIA, V214, pS5, DOI 10.5694/mja2.51020
   Smith DI, 1992, CLIMATIC AGR DROUGHT
   Springmann M, 2016, P NATL ACAD SCI USA, V113, P4146, DOI 10.1073/pnas.1523119113
   Stanke Carla, 2013, PLoS Curr, V5, DOI 10.1371/currents.dis.7a2cee9e980f91ad7697b570bcc4b004
   Suhr F, 2022, BMC PUBLIC HEALTH, V22, DOI 10.1186/s12889-022-12584-4
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Tasmanian Government, 2019, Tasmanian disaster resilience strategy 2020-2025
   The National Drought and North Queensland Flood Response and Recovery Agency, 2020, Review of Australian Government drought response
   Thien F, 2018, LANCET PLANET HEALTH, V2, pE255, DOI 10.1016/s2542-5196(18)30120-7
   Toloo G, 2014, AUST NZ J PUBL HEAL, V38, P430, DOI 10.1111/1753-6405.12253
   Tong SL, 2014, BMJ OPEN, V4, DOI 10.1136/bmjopen-2013-003579
   Trancoso R, 2020, SCI TOTAL ENVIRON, V742, DOI 10.1016/j.scitotenv.2020.140521
   Trief PM, 2006, J BEHAV MED, V29, P411, DOI 10.1007/s10865-006-9067-2
   Turner LR, 2013, AUST NZ J PUBL HEAL, V37, P396, DOI 10.1111/1753-6405.12093
   Vardoulakis S, 2022, MED J AUSTRALIA, V217, P342, DOI 10.5694/mja2.51595
   Vardoulakis S, 2021, AUST HEALTH REV, V45, P2, DOI 10.1071/AHv45n1_ED2
   Vardoulakis S, 2020, MED J AUSTRALIA, V212, P349, DOI 10.5694/mja2.50511
   Veland S, 2010, ENVIRON HAZARDS-UK, V9, P197, DOI 10.3763/ehaz.2010.0042
   Victoria Government, 2022, Health and human services climate change adaptation action plan 2022-2026
   Victorian Government Department of Health and Department of Families FaH, 2022, Health and human services climate change adaptation action plan 2022-2026
   WA Health, 2008, Heath impacts of climate change: adaptions from Western Australia
   Weeramanthri T., 2020, Climate health WA inquiry: final report
   Wen B, 2022, SCI TOTAL ENVIRON, V809, DOI 10.1016/j.scitotenv.2021.152226
   Wenger C., 2013, Climate Change Adaptation and Floods: Australia's Institutional Arrangements
   Whitehead P. J., 2009, Culture, ecology and economy of fire management in North Australian savannas: rekindling the Wurrk tradition, P287
   WHO, 2020, Final terms of reference of the Alliance for Transformative Action on Climate and Health (ATACH)
   Woodward E., 2012, UTILISING INDIGENOUS
   World Health Organisation, 2004, Using climate to predict infectious disease outbreaks
   Xiao JG, 2017, FRONT PUBLIC HEALTH, V5, DOI 10.3389/fpubh.2017.00064
   Xu RB, 2023, NATURE, V621, P521, DOI 10.1038/s41586-023-06398-6
   Xu RB, 2020, NEW ENGL J MED, V383, P2173, DOI 10.1056/NEJMsr2028985
   Zhang YQ, 2022, EUR J PSYCHOTRAUMATO, V13, DOI 10.1080/20008198.2022.2087980
   Zhang Y, 2020, MED J AUSTRALIA, DOI 10.5694/mja2.50869
   Zhang Y, 2013, SCI TOTAL ENVIRON, V442, P1, DOI 10.1016/j.scitotenv.2012.10.042
   Zhao Q, 2021, LANCET PLANET HEALTH, V5, pE415, DOI 10.1016/S2542-5196(21)00081-4
NR 176
TC 8
Z9 8
U1 9
U2 33
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
EI 2666-6065
J9 LANCET REG HEALTH-W
JI Lancet Reg. Health-W. Pac.
PD NOV
PY 2023
VL 40
AR 100936
DI 10.1016/j.lanwpc.2023.100936
EA NOV 2023
PG 16
WC Health Care Sciences & Services; Public, Environmental & Occupational
   Health
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Health Care Sciences & Services; Public, Environmental & Occupational
   Health
GA CX7B2
UT WOS:001128585900001
PM 38116505
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Meilvang, M
AF Meilvang, Marie
TI Qualifying the green city: professional moral practices of trying urban
   rainwater forms6
SO JOURNAL OF PROFESSIONS AND ORGANIZATION
LA English
DT Article
DE professional practice; morality; French pragmatic sociology; climate
   adaptation; green city
ID KNOWLEDGE
AB This article explores how the green, sustainable city is built in situations of uncertainty though professional practical engagements of testing and trying, and how these are formed by moral investments in professional work. Following recent studies investigating professional work and moral agency, the article engages with Terence Halliday's famous distinction between science-based and normative professions. Contrary to this argument, the article argues that the practice of engineers, the clearest example of the so-called 'science-based' profession, is fraught with moral questions and practices. By drawing on French pragmatic sociology, the article conceptualizes the different ways engineers and others work in situations of uncertainty as different modes of trying. In these modes, professionals rely on different moral principles and ideas for evaluating and judging the professional solutions. As such, the article contributes to the sociology of professions by suggesting a new analytical frame for analyzing moral work as fundamental to professional practice in situations of uncertainty. Empirically, the article builds on fieldwork observations and interviews with professionals from an ongoing research project on Danish climate adaptation in cities and urban rainwater management.
C1 [Meilvang, Marie] UCL, Niels Borhs Alle 1, DK-5230 Odense M, Denmark.
RP Meilvang, M (corresponding author), UCL, Niels Borhs Alle 1, DK-5230 Odense M, Denmark.
EM mlme@ucl.dk
FU Danish Council for Independent Research -Social Sciences [DFF
   -6109-00063]
FX This study was financially supported by The Danish Council for
   Independent Research -Social Sciences with Grant Number DFF -6109-00063.
CR Abbott Andrew., 2014, SYSTEM PROFESSIONS E
   Andersen LB, 2012, INT J PUBLIC ADMIN, V35, P46, DOI 10.1080/01900692.2011.635278
   Angelo H, 2015, INT J URBAN REGIONAL, V39, P16, DOI 10.1111/1468-2427.12105
   [Anonymous], 1977, The Rise of Professionalism
   [Anonymous], 2007, European Journal of Social Theory
   Bechky BA, 2003, AM J SOCIOL, V109, P720, DOI 10.1086/379527
   Boltanski L., 1999, European Journal of Social Theory, V2, P359, DOI [10.1177/136843199002003010, DOI 10.1177/136843199002003010]
   Boltanski L, 2006, On Justification: Economies of Worth
   BRANTE T, 1988, ACTA SOCIOL, V31, P119, DOI 10.1177/000169938803100202
   Brante T., 2011, PROFESSIONS PROFESSI, V1, P4, DOI DOI 10.7577/PP.V1I1.147
   DAVIS M, 1991, PHILOS PUBLIC AFF, V20, P150
   Dobraszczyk P., 2014, LONDONS SEWERS
   Evans T, 2017, EUR J SOC WORK, V20, P947, DOI 10.1080/13691457.2016.1278524
   Evetts J, 2013, CURR SOCIOL, V61, P778, DOI 10.1177/0011392113479316
   Fournier V, 1999, SOCIOL REV, V47, P280, DOI 10.1111/1467-954X.00173
   Freidson E., 1988, Professional Powers: A Study of the Institutionalization of Formal Knowledge
   Gandy M, 2014, FABRIC OF SPACE: WATER, MODERNITY, AND THE URBAN IMAGINATION, P1
   Halkier B, 2011, QUAL INQ, V17, P787, DOI 10.1177/1077800411423194
   HALLIDAY TC, 1985, BRIT J SOCIOL, V36, P421, DOI 10.2307/590459
   HUGHES EC, 1963, DAEDALUS, V92, P655
   Johnson T.J., 1972, PROFESSIONS POWERS, V1st edn
   Lindegaard H., 2001, THESIS TU DENMARK
   Liu SD, 2018, J PROF ORGAN, V5, P45, DOI 10.1093/jpo/jox012
   Lynch WT, 2000, SCI TECHNOL HUM VAL, V25, P195, DOI 10.1177/016224390002500203
   Mangset M, 2019, BRIT J SOCIOL, V70, P569, DOI 10.1111/1468-4446.12356
   Moller AM, 2019, J PROF ORGAN, V6, P179, DOI 10.1093/jpo/joz003
   Spillman L, 2018, J PROF ORGAN, V5, P155, DOI 10.1093/jpo/joy007
   Suddaby R, 2019, J PROF ORGAN, V6, P105, DOI 10.1093/jpo/joz007
   Tavory I., 2014, Abductive Analysis: Theorizing Qualitative Research
   Thévenot L, 2009, SOC STUD SCI, V39, P793, DOI 10.1177/0306312709338767
   Thevenot Laurent., 2000, Rethinking comparative cultural sociology. Repertoires of evaluation in France and the United States, P229, DOI [10.1017/CBO9780511628108.009, DOI 10.1017/CBO9780511628108.009]
   Thevenot Laurent., 2002, Complexities, P53, DOI DOI 10.1215/9780822383550
NR 32
TC 4
Z9 4
U1 2
U2 3
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 2051-8803
EI 2051-8811
J9 J PROF ORGAN
JI J. Prof. Organ.
PD MAR
PY 2021
VL 8
IS 1
BP 19
EP 33
DI 10.1093/jpo/joaa026
PG 15
WC Management; Sociology
WE Emerging Sources Citation Index (ESCI)
SC Business & Economics; Sociology
GA SP1RM
UT WOS:000659449600002
DA 2025-01-10
ER

PT J
AU Luna-León, A
   Gonzalez-Trevizo, M
   Bojórquez-Morales, G
   Romero-Moreno, R
   Martínez-Torres, K
AF Luna-Leon, Anibal
   Gonzalez-Trevizo, Marcos
   Bojorquez-Morales, Gonzalo
   Romero-Moreno, Ramona
   Martinez-Torres, Karen
TI Structural insulation panel system (SIP) as an alternative for cooling
   energy saving, decarbonization, and energy cost reduction in hot and dry
   climates. A simulation-based approach
SO ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
LA English
DT Article
DE Carbon footprint; energy savings; low-income housing; structural
   insulation panels (SIP); thermal transmittance
ID THERMAL BRIDGES; LEED; BUILDINGS; IMPACT; PERFORMANCE; EFFICIENCY;
   MEXICALI; DEMAND
AB During the last decades, the growing urban prospects represent a challenging condition to develop climate change adaptation solutions before the urban overheating effects and its challenges to the environment, human health, and building energy consumption, which is critical in hot arid climates with record-breaking heatwaves where society is turning to air conditioning instead of energy-efficient building envelopes. The primary aim of this study was to examine the influence of the Structural Insulation Panel (SIP) system heat transfer in energy-related aspects and contrast it with those of conventional construction systems. Therefore, a comparative study was carried out in low-income dwellings to measure the thermal transmittance of the building envelope and assess the thermal energy simulation allocated in K & ouml;ppen-Geiger<acute accent>s hot desert climate, characterized by typical maximum temperatures of 45 degrees C in the summer season. The investigation ascertained the levels of energy consumption, the capacity of the air conditioning system, the associated energy costs, and the potential decrease in carbon footprint. The study shows SIP as a viable construction system alternative, the evidence shows a 20% heat gain reduction, the Heating, Ventilation, and Air Conditioning (HVAC) system capacity was reduced by 38%, and energy cost by 27%. The system also contributes to the decarbonization and carbon footprint by 20%. Likewise, to reduce the heat flow, a crucial element is evident, since transmittance in thermal bridges significantly affects the heat transfer in these low thermal conductivity systems with structural reinforcement elements.
C1 [Luna-Leon, Anibal; Bojorquez-Morales, Gonzalo; Romero-Moreno, Ramona] Univ Autonoma Baja California, Fac Arquitectura & Diseno, Mexicali, Baja California, Mexico.
   [Gonzalez-Trevizo, Marcos; Martinez-Torres, Karen] Univ Autonoma Baja California, Fac Ingn Arquitectura & Diseno, C Transpeninsular Ensenada Tijuana 3917, Ensenada, Baja California, Mexico.
C3 Universidad Autonoma de Baja California; Universidad Autonoma de Baja
   California
RP Gonzalez-Trevizo, M (corresponding author), Univ Autonoma Baja California, Fac Ingn Arquitectura & Diseno, C Transpeninsular Ensenada Tijuana 3917, Ensenada, Baja California, Mexico.
EM eduardo.gonzalez35@uabc.edu.mx
RI Gonzalez-Trevizo, M.E./G-2473-2018
OI Gonzalez-Trevizo, M.E./0000-0002-7382-2641
FU National Council on Humanities, Science, and Technology (CONAHCyT in
   Spanish); National System of Researchers (SNII in spanish)
FX Luna-Leon gratefully acknowledges the support of the National Council on
   Humanities, Science, and Technology (CONAHCyT in Spanish) and its
   National System of Researchers (SNII in spanish). In addition, the
   authors would like to thank the reviewers for their constructive
   comments, Mariana Alejandra Diaz Garcia, and Andrea Naraat Moncada
   Zapien for their assistance with the 3D modeling, and rendering scheme
   design.
CR Abu-Jdayil B, 2019, CONSTR BUILD MATER, V214, P709, DOI 10.1016/j.conbuildmat.2019.04.102
   Amran YHM, 2020, STRUCTURES, V27, P1358, DOI 10.1016/j.istruc.2020.07.044
   [Anonymous], 2011, NOM-020-ENER-2011
   [Anonymous], 2022, Global Energy Review: CO2 Emissions in 2021 - Analysis
   [Anonymous], 2017, ISO 6946:2017-Building components and building elements-Thermal resistance and thermal transmittance
   [Anonymous], 2001, NOM-008-ENER-2001
   Armendariz-Lopez JF, 2016, RENEW ENERG, V87, P564, DOI 10.1016/j.renene.2015.10.051
   ASHRAE, 2017, ASHRAE book of fundamentals
   Aslani A, 2022, ENERG BUILDINGS, V260, DOI 10.1016/j.enbuild.2022.111924
   Attia Walid A., 2018, HBRC Journal, V14, P104, DOI 10.1016/j.hbrcj.2016.03.002
   Bandyopadhyay B., 2022, SOL COMPASS, V2, P100025, DOI 10.1016/j.solcom.2022.100025
   Banxico, 2023, Foreign exchange market (exchange rates)
   Barbosa E. I., 2018, The role of development banks in financing sustainable and affordable housing: The EcoCasa program
   Barreca F, 2021, COATINGS, V11, DOI 10.3390/coatings11121478
   Ben Larbi A, 2005, ENERG BUILDINGS, V37, P945, DOI 10.1016/j.enbuild.2004.12.013
   Bida SM, 2021, INT J CONCR STRUCT M, V15, DOI 10.1186/s40069-021-00477-6
   Cempanel, 2020, Fiber cement Cempanel technical data sheet
   CFE, 2016, CFE SPA00-63: Calculation guide to estimate the equivalent carbon dioxide emission factor for the national system (in Spanish)
   CFE, 2012, Electricity sector energy saving program (PAESE)
   Chen G., 2024, Energy and Built Environment, DOI [10.1016/j.enbenv.2024.01.008, DOI 10.1016/J.ENBENV.2024.01.008]
   Choi W, 2019, COMPOS PART B-ENG, V157, P36, DOI 10.1016/j.compositesb.2018.08.081
   Christian J., 1996, Thermal performance and wall ratings
   COPLADEM, 2023, Programa estatal de energa (spanish)
   Crawley DB, 2001, ENERG BUILDINGS, V33, P319, DOI 10.1016/S0378-7788(00)00114-6
   CRE, 2024, Factor de Emisiones del Sistema Elctrico Nacional
   Czajkowski L, 2022, MATERIALS, V15, P1073, DOI [10.3390/ma15031073, DOI 10.3390/ma15031073]
   Dawood SM, 2022, J BUILD PERFORM SIMU, V15, P809, DOI 10.1080/19401493.2022.2099465
   de Freitasa JR, 2018, ENERG BUILDINGS, V169, P271, DOI 10.1016/j.enbuild.2018.03.044
   de Oliveira LA, 2020, COMPOS PART C-OPEN, V3, DOI 10.1016/j.jcomc.2020.100048
   Design Builder L., 2023, Design builder documentation
   ENER, 1996, Lmites, mtodo de prueba e informacin al pblico
   Environmental and Energy Study Institute, 2019, Air pollution: Current and future challenges
   FIDE, 2024, Programas Del FIDE (in Spanish)
   Cueto ORG, 2013, ATMOSFERA, V26, P509, DOI 10.1016/S0187-6236(13)71092-0
   Gomes R, 2020, J BUILD ENG, V28, DOI 10.1016/j.jobe.2019.101031
   Guo JL, 2024, J BUILD ENG, V95, DOI 10.1016/j.jobe.2024.110097
   HTflux, 2023, Physical properties of a material
   IEA, 2017, CONUEE-Promotion of energy efficiency and development of national standards
   INEGI, 2021, Viviendas Particulares Habitadas (In Spanish)
   INEGI, 2023, Estadisticas a propsito del da nacional de la vivienda (in spanish)
   INFONAVIT, 2014, Sistema de Evaluacin de la Vivienda Verde (in spanish)
   International Energy Agency, 2018, The Future of Cooling: Opportunities for Energy-Efficient Air-Conditioning
   International Energy Agency, 2022, Emissions gap report 2022: The closing window
   Jun MA, 2017, ADV ENG INFORM, V32, P224, DOI 10.1016/j.aei.2017.03.004
   Kaidouchi H, 2023, MECH ADV MATER STRUC, V30, P3912, DOI 10.1080/15376494.2022.2085348
   Kottek M, 2006, METEOROL Z, V15, P259, DOI 10.1127/0941-2948/2006/0130
   Law T, 2023, ARCHIT SCI REV, V66, P108, DOI 10.1080/00038628.2021.1916428
   Lawrence Berkeley National Laboratory, 2017, THERM6.3/WINDOW6.3 NFRC simulation manual
   Lawrence Berkeley National Laboratory, 2018, Office of Energy Efficiency and Renewable Energy, V4
   Li XF, 2020, APPL THERM ENG, V180, DOI 10.1016/j.applthermaleng.2020.115801
   Liang WT, 2023, J BUILD ENG, V71, DOI 10.1016/j.jobe.2023.106492
   Loonen RCGM, 2017, J BUILD PERFORM SIMU, V10, P205, DOI 10.1080/19401493.2016.1152303
   Lowe R, 2007, BUILD RES INF, V35, P412, DOI 10.1080/09613210701238268
   Mayer Z, 2023, AUTOMAT CONSTR, V146, DOI 10.1016/j.autcon.2022.104690
   Mexican Federal Electricity Commission, 2023, New tariff scheme
   Miyata S, 2020, ADV BUILD ENERGY RES, V14, P160, DOI 10.1080/17512549.2019.1578263
   Nizetic S, 2022, INT J ENERG RES, V46, P20067, DOI 10.1002/er.8770
   Nouira M, 2022, ENERG SOURCE PART A, V44, P7453, DOI 10.1080/15567036.2022.2112787
   Oates L., 2021, Creating safe, affordable and sustainable housing in cities: Lessons from Ecocasa in Hermosillo, Mexico
   Oreskovic L, 2021, SCI TECHNOL BUILT EN, V27, P1425, DOI 10.1080/23744731.2021.1949201
   Paulos J, 2020, APPL ENERG, V266, DOI 10.1016/j.apenergy.2020.114776
   Pavlin M, 2022, INT J APPL CERAM TEC, V19, P1227, DOI 10.1111/ijac.13998
   Pelss M, 2010, ENVIRON CLIM TECHNOL, V4, P76, DOI 10.2478/v10145-010-0021-8
   García-Cueto OR, 2021, ATMOSFERA, V34, P233, DOI [10.20937/atm.52784, 10.20937/ATM.52784]
   Romero RA, 2013, RENEW ENERG, V49, P267, DOI 10.1016/j.renene.2012.01.017
   Sahlol DG, 2021, J BUILD ENG, V35, DOI 10.1016/j.jobe.2020.101978
   Salih TWM, 2022, ADV BUILD ENERGY RES, V16, P696, DOI 10.1080/17512549.2022.2098534
   Schwarz M, 2020, J CLEAN PROD, V248, DOI 10.1016/j.jclepro.2019.119260
   SEDATU, 2019, Programa nacional de vivienda 2021-2024 (in Spanish)
   SENER, 2001, NOM-008-ENER-2001, energy efficiency in buildings, non-residential building envelopes (in Spanish)
   SENER, 2011, NOM-020-ENER-2011, energy efficiency in buildings-building envelopes for residential use (in Spanish)
   Shan B, 2023, ARCHIT ENG DES MANAG, V19, P511, DOI 10.1080/17452007.2022.2140399
   Simon K., 2023, Structural insulated panels (SIPs)
   SIPA, 2024, Builders. Why top builders choose SIPs
   SMN, 2024, Automatic meteorological stations (EMAS)
   Solomon AA, 2020, STRUCTURES, V23, P204, DOI 10.1016/j.istruc.2019.10.019
   Song JH, 2015, J ASIAN ARCHIT BUILD, V14, P741, DOI 10.3130/jaabe.14.741
   Sorensen T, 2022, J BUILD ENG, V45, DOI 10.1016/j.jobe.2021.103424
   Steinhardt D, 2020, CONSTR MANAG ECON, V38, P483, DOI 10.1080/01446193.2019.1588464
   Suzer O, 2019, BUILD ENVIRON, V147, P158, DOI 10.1016/j.buildenv.2018.09.001
   Suzer O, 2015, J ENVIRON MANAGE, V154, P266, DOI 10.1016/j.jenvman.2015.02.029
   Tahmoorian F, 2021, J BUILD ENG, V33, DOI 10.1016/j.jobe.2020.101634
   Theodosiou TG, 2008, ENERG BUILDINGS, V40, P2083, DOI 10.1016/j.enbuild.2008.06.006
   Theodosiou T, 2019, J CLEAN PROD, V214, P62, DOI 10.1016/j.jclepro.2018.12.286
   Thermorock, 2023, Thermorock technical sheet
   Torres MJ, 2023, ENERGY SUSTAIN DEV, V72, P185, DOI 10.1016/j.esd.2022.12.012
   TRANE, 2008, TRANE product data
   U.S. Department of Energy, 2023, EnergyPlusTM version 24.1.0 documentation. Engineering reference
   U.S. Environmental Protection Agency, 2021, Greenhouse gas emissions
   WBDG, 2017, Structural insulated panels (SIPs)
   Wu P, 2017, RENEW SUST ENERG REV, V68, P370, DOI 10.1016/j.rser.2016.10.007
   Yan XY, 2023, INT COMMUN HEAT MASS, V148, DOI 10.1016/j.icheatmasstransfer.2023.107086
   Yoo S, 2020, ADV BUILD ENERGY RES, V14, P171, DOI 10.1080/17512549.2019.1588167
   Zeng FL, 2022, J ASIAN ARCHIT BUILD, V21, P2371, DOI 10.1080/13467581.2021.1972001
   Zhang Y, 2020, APPL THERM ENG, V178, DOI 10.1016/j.applthermaleng.2020.115454
   Zhao K, 2022, J BUILD ENG, V62, DOI 10.1016/j.jobe.2022.105421
NR 96
TC 0
Z9 0
U1 1
U2 1
PU TAYLOR & FRANCIS INC
PI PHILADELPHIA
PA 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA
SN 1556-7036
EI 1556-7230
J9 ENERG SOURCE PART A
JI Energy Sources Part A-Recovery Util. Environ. Eff.
PD DEC 31
PY 2024
VL 46
IS 1
BP 17267
EP 17292
DI 10.1080/15567036.2024.2431639
PG 26
WC Energy & Fuels; Engineering, Chemical; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Energy & Fuels; Engineering; Environmental Sciences & Ecology
GA O2J7N
UT WOS:001369463200001
DA 2025-01-10
ER

PT J
AU Covele, AA
   van Niekerk, D
   Cilliers, D
AF Covele, Alfredo A.
   van Niekerk, Dewald
   Cilliers, Dirk
TI Statutory and policy-based eco-disaster risk reduction in SADC member
   states
SO JAMBA-JOURNAL OF DISASTER RISK STUDIES
LA English
DT Article
DE disasters risk; disaster risk reduction; policies; SADC; Eco-DRR.
ID CLIMATE-CHANGE ADAPTATION; VARIABILITY; GOVERNANCE; AFRICA
AB Effective legislative framework is the cornerstone of managing hazards and disasters because they have become policy problems of global and local concern. This research study aims at understanding the implementation, strengths and gaps of policies related to Eco-DRR in SADC member states. In particular, attempts to critically analyse the making of DRM policies, as well as the variables underpinning these policies, given the high level of disaster losses. A literature survey was conducted to contextualise and conceptualise statutory and policy-based Eco-DRR. Academic literature on Eco-DRR and related policies, journal articles and related policies, official documents in SADC states including policies, acts, legislations, strategies, frameworks and plans were consulted. The analysis revealed that the Eco-DRR approaches have not yet been mainstreamed as part of standards of DRM in most of SADC member states, opting largely on ad hoc practice. Short-term plans and/or strategies don't help to articulate funding and programme priorities. In addition, irregular updating of policies in some member states and a lack of following up mechanisms were noted. Contribution: To change this reality, it is necessary to include Eco-DRR in strategies and/or plans and to standardise ecosystem-based measures for reducing disaster risks. Additionally, there is an urgent need for empowerment of the existing institutions and creation of networks that are driven by SADC institutions. Overall, it is evident that there is a regional interest and demand to apply and standardise ecosystem-based approaches and natural or green infrastructure solutions toward Eco-DRR.
C1 [Covele, Alfredo A.] North West Univ, Fac Nat & Agr Sci, African Ctr Disaster Studies, Potchefstroom, South Africa.
   [van Niekerk, Dewald] Eduardo Mondlane Univ, Fac Engineer, Dept Electrotech, Maputo, Mozambique.
   [Cilliers, Dirk] North West Univ, Fac Nat & Agr Sci, Dept Geo & Spatial Sci, Potchefstroom, South Africa.
C3 North West University - South Africa; Eduardo Mondlane University; North
   West University - South Africa
RP Covele, AA (corresponding author), North West Univ, Fac Nat & Agr Sci, African Ctr Disaster Studies, Potchefstroom, South Africa.
EM acovele@gmail.com
CR Ahmed Z, 2013, INT J DISAST RISK RE, V4, P15, DOI 10.1016/j.ijdrr.2013.03.003
   [Anonymous], Southern Africa Disaster Risk Plan 2012-2014
   Ashu REA, 2019, FORESIGHT, V21, P362, DOI 10.1108/FS-06-2018-0060
   BES (British Ecological Society), 2017, British ecological society policy guides
   Birkland T.A., 2016, Oxford Research Encyclopedia of Natural Hazard Science, DOI DOI 10.1093/ACREFORE/9780199389407.013.75
   Calkins Julie, 2015, PLoS Curr, V7, DOI 10.1371/currents.dis.22247d6293d4109d09794890bcda1878
   Cheema AR, 2016, DISASTER PREV MANAG, V25, P449, DOI 10.1108/DPM-10-2015-0243
   Chipangura P, 2017, INT J DISAST RISK RE, V22, P317, DOI 10.1016/j.ijdrr.2017.02.012
   Daron J, 2019, INT J CLIMATOL, V39, P4784, DOI 10.1002/joc.6106
   Davis-Reddy C L., 2017, Climate risk and vulnerability: A handbook for Southern Africa, V2nd
   Dhyani S, 2018, INT J DISAST RISK RE, V32, P95, DOI 10.1016/j.ijdrr.2018.01.018
   Diagne K., 2014, Disaster risk reduction: Cases From Urban Africa, P147
   Emerton L, 2016, ADV NAT TECH HAZ RES, V42, P23, DOI 10.1007/978-3-319-43633-3_2
   ESTRELLA M., 2013, The Role of Ecosystems in Disaster Risk Reduction, P26
   Fang X, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0110745
   FAO (Food and Agriculture Organization of the United Nations), 2018, Southern Africa resilience strategy 2018-2021, P32
   Fauchereau N, 2003, NAT HAZARDS, V29, P139, DOI 10.1023/A:1023630924100
   Forino G, 2017, INT J DISAST RISK RE, V24, P100, DOI 10.1016/j.ijdrr.2017.05.021
   Government of Malawi, 2015, National disaster risk management policy
   Handmer J., 2007, HDB DISASTER EMERGEN
   IDRL, 2021, Leis de Resposta a Desastres de Dimensao Internacional (IDRL) em Mocambique. Uma analise da preparacao legal de Mocambique para a regulamentacao de questoes relacionadas com operacoes internacionais de resposta a desastres naturais
   IFRC (International Federation of Red Cross and Red Crescent Societies), 2021, Legal preparedness for international disaster assistance in Southern Africa. Regional assessment and country profiles
   IOA (In on Africa), 2019, Africa's disaster response: Continent-wide coordination required
   IUCN/PACO, 2016, Regional assessment on Ecosystembased Disaster Risk Reduction and Biodiversity in West and Central Africa', A report for the Resilience through Investing in Ecosystems-Knowledge, Innovation and Transformation of Risk Management (RELIEF-Kit) project, P58
   Jones S, 2014, GEOFORUM, V57, P78, DOI 10.1016/j.geoforum.2014.07.011
   Kapuka A, 2022, REG ENVIRON CHANGE, V22, DOI 10.1007/s10113-022-01886-3
   Kruger L, 2016, JAMBA-J DISASTER RIS, V8, DOI 10.4102/jamba.v8i2.179
   MacKinnon K., 2010, Convenient solutions to an inconvenient truth. Ecosystem-based approaches to climate change
   Malzbender D., 2007, Water resources of the SADC: Demands, dependencies and governance responses
   Manyena SB, 2013, GLOBAL ENVIRON CHANG, V23, P1786, DOI 10.1016/j.gloenvcha.2013.07.027
   Mashi SA, 2019, INT J DISAST RISK RE, V33, P253, DOI 10.1016/j.ijdrr.2018.10.011
   McVittie A, 2018, INT J DISAST RISK RE, V32, P42, DOI 10.1016/j.ijdrr.2017.12.014
   Munang R, 2013, CURR OPIN ENV SUST, V5, P47, DOI 10.1016/j.cosust.2013.02.002
   Murti R, 2019, INT J DISAST RISK RE, V33, P433, DOI 10.1016/j.ijdrr.2018.09.018
   Nemakonde LD, 2017, DISASTER PREV MANAG, V26, P361, DOI 10.1108/DPM-03-2017-0066
   Nepal P., 2018, Geographical Journal of Nepal, V11, P1, DOI DOI 10.3126/GJN.V11I0.19546
   Pastory W.R.B., 2022, Journal of Legal Studies and Research, V8, P13
   PEDRR, 2010, Demonstrating the role of ecosystems-based management for disaster risk reduction
   Pilli-Sihvola K, 2016, INT J DISAST RISK RE, V19, P461, DOI 10.1016/j.ijdrr.2016.07.010
   Pramova E, 2012, WIRES CLIM CHANGE, V3, P581, DOI 10.1002/wcc.195
   Reid H., 2011, Improving the evidence for ecosystem-based adaptation
   Renaud FG, 2016, ADV NAT TECH HAZ RES, V42, P1, DOI 10.1007/978-3-319-43633-3_1
   SADC (Southern African Development Community), 2020, Regional resilience framework
   SADC (Southern African Development Community), 2016, Regional situation update on the El Nino-induced drought
   SADC (Southern African Development Community), 2018, 38 SADC SUMM HEADS S
   SADC (Southern African Development Community), 2010, Report on the SADC disaster risk reduction and preparedness planning Workshop
   SADC (Southern African Development Community), SADC disaster risk and managment strategy and action plan (2022-2030)
   SADC (Southern African Development Community), 2010, SADC policy and strategic framework for disaster risk reduction 2010-2015
   Schelchen A., 2017, International Journal of Mass Emergencies and Disaster, V35, P71, DOI [10.1177/028072701703500205, DOI 10.1177/028072701703500205]
   Sutherby Z., 2018, INT C INF SYST CRIS, P326
   Takeuchi K, 2016, ADV NAT TECH HAZ RES, V42, P315, DOI 10.1007/978-3-319-43633-3_14
   Tau M, 2016, INT J DISAST RISK SC, V7, P343, DOI 10.1007/s13753-016-0110-9
   The World Bank, 2021, Climate Risk Profile: Nigeria
   Twigg J., 2015, Disaster Risk Reduction
   UNDRR, Disaster management and mitigation init
   Urquhart P., 2014, Seychelles Country Report
   Uy N., 2012, Ecosystem-based adaptation, V12, P41, DOI [10.1108/S2040-7262(2012)0000012009, DOI 10.1108/S2040-7262(2012)0000012009]
   Uy N, 2016, DISAST RISK REDUCT, P119, DOI 10.1007/978-4-431-55078-5_8
   Van Niekerk D, 2015, DISASTER PREV MANAG, V24, P397, DOI 10.1108/DPM-08-2014-0168
   Whelchel AW, 2018, INT J DISAST RISK RE, V32, P1, DOI 10.1016/j.ijdrr.2018.08.008
   Williams G., 2011, Study on disaster risk reduction, decentralization and political economy: The political economy of disaster risk reduction
   Zafarullah H, 2018, PUBLIC ADMIN POLICY, DOI [10.1108/pap-06-2018-001, DOI 10.1108/PAP-06-2018-001]
NR 62
TC 0
Z9 0
U1 0
U2 0
PU AOSIS
PI Durbanville
PA Postnet Suite 110, Private Bag x 19, Durbanville, SOUTH AFRICA
SN 1996-1421
EI 2072-845X
J9 JAMBA-J DISASTER RIS
JI Jamba-J. Disaster Risk Stud.
PD OCT 30
PY 2024
VL 16
IS 2
AR 1799
DI 10.4102/jamba.v16i2.1799
PG 9
WC Social Sciences, Interdisciplinary
WE Emerging Sources Citation Index (ESCI)
SC Social Sciences - Other Topics
GA K9F6K
UT WOS:001346886300001
PM 39512863
OA gold
DA 2025-01-10
ER

PT J
AU Bharwani, S
   Swartling, AG
   André, K
   Santos, TFS
   Salamanca, A
   Biskupska, N
   Takama, T
   Järnberg, L
   Liu, A
AF Bharwani, S.
   Swartling, A. Gerger
   Andre, K.
   Santos, T. F. Santos
   Salamanca, A.
   Biskupska, N.
   Takama, T.
   Jarnberg, L.
   Liu, A.
TI Co-designing in Tandem: Case study journeys to inspire and guide climate
   services
SO CLIMATE SERVICES
LA English
DT Article
DE Capacity development; Climate services; Guidance; Climate change
   adaptation; Transdisciplinary; Co-design
ID KNOWLEDGE EXCHANGE; COPRODUCTION; SCIENCE; POLICY; ADAPTATION;
   GOVERNANCE; BARRIERS; INFORMATION; RESOURCES
AB This study tests, empirically validates and refines the Tandem framework for co-designing climate services (Daniels et al., 2019; 2020), to enhance its applicability and effectiveness. Intended as an inspirational guide for 'good practice', Tandem is practical and non-prescriptive and is designed to be tailored to context. We apply Tandem in three different geographic and socioeconomic settings: 1) a rural community in Indonesia, where smallholder farmers are confronting climate impacts on agriculture; 2) two cities in Sweden, where planners are addressing climate-related flooding and heat stress; and 3) communities and institutions in a Colombian river basin, where climate change is leading to water scarcity, raising questions about equitable use. We find that Tandem was effective in these settings in: 1) moving from 'useful' to 'usable' information by building trust; 2) increasing institutional embedding through strengthened relationships and networks; 3) improving climate information uptake and use; 4) increasing capacity, confidence and a shared understanding of climate information by users, and the decision context by providers; and, 5) serving as a non-prescriptive guide for users, intermediaries and providers to co-design and structure an effective process for collaborative learning and action. We use insights from these case studies to enhance the original framework, enabling it to 1) scope and review climate and non-climate vulnerability and risks; 2) incorporate gender, social equity and power considerations; 3) acknowledge the value of local and traditional ecological knowledge; 4) co-explore horizontal and vertical governance at appropriate decision-making scales; and, 5) provide flexible starting points, with early identification of impact indicators.
C1 [Bharwani, S.; Liu, A.] Oxford Eco Ctr, SEI, Roger House, Oxford OX2 0ES, England.
   [Swartling, A. Gerger; Andre, K.; Jarnberg, L.] SEI Headquarters, Linnegatan 87D,Box 24218, S-10451 Stockholm, Sweden.
   [Santos, T. F. Santos] SEI, Calle 71,11-10 Edificio Corecol,Oficina 801, Bogota, Colombia.
   [Salamanca, A.; Biskupska, N.] Chulalongkorn Univ, SEI, 10th Floor,Kasem Uttayanin Bldg 254,Henri Dunant R, Bangkok 10330, Thailand.
   [Santos, T. F. Santos; Takama, T.] su re co, Jl Dalem Gede 25, Bali 80351, Indonesia.
C3 Stockholm Environment Institute; Chulalongkorn University
RP Bharwani, S (corresponding author), Oxford Eco Ctr, SEI, Roger House, Oxford OX2 0ES, England.
EM sukaina.bharwani@sei.org
RI ; Santos Santos, Tania Fernanda/HZK-3489-2023; Gerger Swartling,
   Asa/J-1420-2018
OI Liu, Xin Zhuo/0000-0001-8373-2167; Santos Santos, Tania
   Fernanda/0000-0001-9450-7109; Andre, Karin/0000-0002-0373-0143;
   Bharwani, Sukaina/0000-0002-0152-4565; Gerger Swartling,
   Asa/0000-0003-3616-7323
FU Swedish Development Cooperation Agency (Sida); Swedish Civil
   Contingencies Agency
FX We are grateful for the support this research received. on Climate
   Services was supported by the Swedish Development Cooperation Agency
   (Sida) . The Hazard Support funded was by the Swedish Civil
   Contingencies Agency.
CR Adams P., 2015, WMO Bull., DOI [10.13140/RG.2.1.1029.0645, DOI 10.13140/RG.2.1.1029.0645]
   Andre K., 2020, SEI Discussion Brief
   Andre K., 2020, SEI Discussion Brief
   André K, 2021, FRONT CLIM, V3, DOI 10.3389/fclim.2021.636069
   Attoh EMNAN, 2022, FRONT CLIM, V4, DOI 10.3389/fclim.2022.968298
   Berg P., 2021, Swedish Civil Contingencies Agency MSB Report: MSB1678
   Biskupska N., 2020, SEI report
   Boon E, 2024, ENVIRON SCI POLICY, V152, DOI 10.1016/j.envsci.2023.103641
   Guy P, 2016, EARTHS FUTURE, V4, P79, DOI 10.1002/2015EF000338
   Bremer S, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.482
   Briley L, 2015, CLIM RISK MANAG, V9, P41, DOI 10.1016/j.crm.2015.04.004
   Carter S., 2019, Coproduction of African weather and climate services
   City of Stockholm, 2020, Handlingsplan for klimatanpassning
   Cortekar J., EU-MACS Deliverable 1.1 [Deliverable for EU-MACS European Market for Climate Services project]
   Cvitanovic C, 2016, J ENVIRON MANAGE, V183, P864, DOI 10.1016/j.jenvman.2016.09.038
   Cvitanovic C, 2015, OCEAN COAST MANAGE, V112, P25, DOI 10.1016/j.ocecoaman.2015.05.002
   Daniels E., 2019, SEI brief
   Daniels E, 2020, CLIM SERV, V19, DOI 10.1016/j.cliser.2020.100181
   Djenontin INS, 2018, ENVIRON MANAGE, V61, P885, DOI 10.1007/s00267-018-1028-3
   FCFA, 2015, Mainstreaming Climate Information into Sector Development Plans: The Case of Rwanda's Tea and Coffee Sectors
   Fünfgeld H, 2019, CLIMATIC CHANGE, V153, P625, DOI 10.1007/s10584-018-2238-7
   Jack CD, 2020, CLIM RISK MANAG, V29, DOI 10.1016/j.crm.2020.100239
   Jones L, 2017, CLIM POLICY, V17, P551, DOI 10.1080/14693062.2016.1191008
   Keeley ATH, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab3234
   Klein RJT, 2014, ENVIRON SCI POLICY, V40, P101, DOI 10.1016/j.envsci.2014.01.011
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/NCLIMATE1614, 10.1038/nclimate1614]
   Lemos MC, 2005, GLOBAL ENVIRON CHANG, V15, P57, DOI 10.1016/j.gloenvcha.2004.09.004
   Mcclure A, 2024, CLIM SERV, V34, DOI 10.1016/j.cliser.2024.100492
   Meadow AM, 2015, WEATHER CLIM SOC, V7, P179, DOI 10.1175/WCAS-D-14-00050.1
   Norstrom AV, 2020, NAT SUSTAIN, V3, P182, DOI 10.1038/s41893-019-0448-2
   Palutikof JP, 2019, CLIMATIC CHANGE, V153, P607, DOI 10.1007/s10584-018-2177-3
   Prokopy LS, 2017, CLIM RISK MANAG, V15, P1, DOI 10.1016/j.crm.2016.10.004
   Santos Santos T.F., 2020, SEI Discussion Brief
   Scott D., 2019, FRACTAL Working Paper 7
   Segersson D., 2020, Swedish Civil Contingencies Agency Report
   Soares MB, 2016, CLIMATIC CHANGE, V137, P89, DOI 10.1007/s10584-016-1671-8
   Steynor A, 2016, CLIM RISK MANAG, V13, P95, DOI 10.1016/j.crm.2016.03.001
   Swartling ÅG, 2019, ENVIRON POLICY GOV, V29, P97, DOI 10.1002/eet.1833
   Tanner T, 2019, DISASTERS, V43, pS388, DOI 10.1111/disa.12338
   Taylor A, 2021, ENVIRON SCI POLICY, V126, P204, DOI 10.1016/j.envsci.2021.10.002
   Turnhout E, 2020, CURR OPIN ENV SUST, V42, P15, DOI 10.1016/j.cosust.2019.11.009
   Underdal A, 2010, GLOBAL ENVIRON CHANG, V20, P386, DOI 10.1016/j.gloenvcha.2010.02.005
   van der Molen F, 2015, OCEAN COAST MANAGE, V106, P49, DOI 10.1016/j.ocecoaman.2015.01.012
   Visman E, 2022, CLIM SERV, V26, DOI 10.1016/j.cliser.2022.100297
   Vogel C, 2019, CLIM SERV, V15, DOI 10.1016/j.cliser.2019.100107
   Wyborn C, 2019, ANNU REV ENV RESOUR, V44, P319, DOI [10.1146/annurev-environ-101718-033103, 10.1146/annurev-environ-101718033103]
NR 46
TC 0
Z9 0
U1 1
U2 1
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2405-8807
J9 CLIM SERV
JI Clim. Serv.
PD AUG
PY 2024
VL 35
AR 100503
DI 10.1016/j.cliser.2024.100503
EA JUL 2024
PG 17
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA C0M5X
UT WOS:001286389400001
OA gold
DA 2025-01-10
ER

PT J
AU Blocher, JM
   Hoffmann, R
   Weisz, H
AF Blocher, Julia M.
   Hoffmann, Roman
   Weisz, Helga
TI The effects of environmental and non-environmental shocks on livelihoods
   and migration in Tanzania
SO POPULATION AND ENVIRONMENT
LA English
DT Article
DE Migration; Climate change; Disasters; Poverty; Shocks; Tanzania
ID CLIMATE-CHANGE ADAPTATION; INTERNATIONAL MIGRATION; WEATHER SHOCKS;
   LABOR MIGRATION; CONSUMPTION; RISK; CONSTRAINTS; VARIABILITY;
   POPULATIONS; STRATEGIES
AB Disruptive events and calamities can have major consequences for households in the predominantly agrarian communities of Eastern Africa. Here, we analyze the impacts of environmental and non-environmental shocks on migration in Tanzania using panel models and longitudinal data from the Tanzania National Panel Survey between 2008 and 2013. Shocks are defined as events that lead to losses in income, assets, or both. We find shocks resulting from changes in environmental conditions to be positively related to migration over time with more recent shocks exerting the strongest impact. According to our estimates, the probability of having a household member absent increases by 0.81% with each additional environmental shock encountered in the past 12 months. Different types of shocks have differential effects on migration with the strongest effects being observed for shocks with an immediate impact on household livelihoods, including through livestock losses and crop damage. Households in the sample are differently affected with rural, agriculturally dependent, and poor households without alternative income sources showing the strongest changes in their migration behavior in response to shocks. Our study adds important insights into the relationship between disruptive events and migration in Eastern Africa considering a broad time window and the compounding influence of different shock types. Our findings have a range of policy implications highlighting the need for a comprehensive perspective on household responses in times of distress that considers the interplay of different shock types as well as the role of context in shaping mobility patterns.
C1 [Blocher, Julia M.; Weisz, Helga] Potsdam Inst Climate Impact Res PIK, Potsdam, Germany.
   [Hoffmann, Roman; Weisz, Helga] Int Inst Appl Syst Anal IIASA, Laxenburg, Austria.
   [Blocher, Julia M.; Weisz, Helga] Humboldt Univ, Dept Social Sci, Berlin, Germany.
C3 Potsdam Institut fur Klimafolgenforschung; International Institute for
   Applied Systems Analysis (IIASA); Humboldt University of Berlin
RP Blocher, JM (corresponding author), Potsdam Inst Climate Impact Res PIK, Potsdam, Germany.; Blocher, JM (corresponding author), Humboldt Univ, Dept Social Sci, Berlin, Germany.
EM blocher@pik-potsdam.de
RI Hoffmann, Roman/KDO-5990-2024
OI Hoffmann, Roman/0000-0003-3512-1737; Blocher, Julia/0000-0003-4204-8179;
   Weisz, Helga/0000-0001-8208-5199
FU Horizon 2020 Framework Programme
FX The authors thank partners from the HABITABLE research consortium (EU
   Horizon 2020) for their helpful comments and reviews, as well as
   colleagues at the Potsdam Institute for Climate Impact Research
   (PIK)-especially those from the EPICC (Brazil East Africa Peru India
   Climate Capacities) project-for their help in the conception phase and
   later feedback.
CR Adams H, 2016, POPUL ENVIRON, V37, P429, DOI 10.1007/s11111-015-0246-3
   Angelucci M, 2015, REV ECON STAT, V97, P224, DOI 10.1162/REST_a_00487
   Anglewicz P, 2018, DEMOGR RES, V38, P321, DOI 10.4054/DemRes.2018.38.14
   [Anonymous], 2019, EM-DAT the international disaster database
   [Anonymous], 2013, Climate Change 2013, V5
   Atake EH, 2018, HEALTH ECON REV, V8, DOI 10.1186/s13561-018-0210-x
   Ayeb-Karlsson S, 2020, CLIM RISK MANAG, V29, DOI 10.1016/j.crm.2020.100237
   Baez Javier E., 2020, Economics of Disasters and Climate Change, V4, P103, DOI 10.1007/s41885-019-00049-9
   Bardsley DK, 2010, POPUL ENVIRON, V32, P238, DOI 10.1007/s11111-010-0126-9
   Bazzi S, 2017, AM ECON J-APPL ECON, V9, P219, DOI 10.1257/app.20150548
   Behnke RH, 2011, ANIMAL MIGRATION: A SYNTHESIS, P144
   Beine M, 2017, CESIFO ECON STUD, V63, P386, DOI 10.1093/cesifo/ifx017
   Bennett N.M., 2015, Environmental shocks, differentiated households and migration: A study in Thailand
   Black R., 2014, Limits Mob. Times Crisis, P287, DOI 10.4324/9780203797860-14
   Blocher JM, 2021, Assessing the Evidence: Climate Change and Migration in the United Republic of Tanzania
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Burrows K, 2016, INT J ENV RES PUB HE, V13, DOI 10.3390/ijerph13040443
   Cameron MP, 2018, POPUL ENVIRON, V39, P239, DOI 10.1007/s11111-017-0289-8
   Cattaneo C, 2019, REV ENV ECON POLICY, V13, P189, DOI 10.1093/reep/rez008
   Cattaneo C, 2016, J DEV ECON, V122, P127, DOI 10.1016/j.jdeveco.2016.05.004
   Chegere MJ, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su142214701
   CHIRPS, 2021, Rainfall Estimates from Rain Gauge and Satellite Observations dataset
   Choquette-Levy N, 2021, NAT CLIM CHANGE, V11, P1046, DOI 10.1038/s41558-021-01205-4
   Choumert-Nkolo J, 2019, WORLD DEV, V115, P222, DOI 10.1016/j.worlddev.2018.11.016
   Christiaensen L., 2018, World Bank, DOI [10.1596/29679, DOI 10.1596/29679]
   Clement Viviane, 2021, Groundswell Part 2: Acting on Internal Climate Migration
   Codjoe SNA, 2017, POPUL ENVIRON, V39, P128, DOI 10.1007/s11111-017-0284-0
   Coniglio ND, 2015, ENVIRON DEV ECON, V20, P434, DOI 10.1017/S1355770X14000722
   Damon A., 2015, Migration and Development, V4, P4, DOI [10.1080/21632324.2014.945696, DOI 10.1080/21632324.2014.945696]
   Danquah M., 2019, Informal work in Sub-Saharan Africa: Dead end or steppingstone?, V2019, DOI [10.35188/UNU-WIDER/2019/743-9, DOI 10.35188/UNU-WIDER/2019/743-9]
   de Leon EG, 2017, CLIM DEV, V9, P471, DOI 10.1080/17565529.2016.1174659
   De Longueville F, 2020, CLIMATIC CHANGE, V160, P123, DOI 10.1007/s10584-020-02704-7
   de Sherbinin A, 2022, FRONT CLIM, V4, DOI 10.3389/fclim.2022.882343
   De Weerdt J, 2016, ECON DEV CULT CHANGE, V65, P63, DOI 10.1086/687577
   Dercon S, 2006, WORLD DEV, V34, P685, DOI 10.1016/j.worlddev.2005.09.009
   Dercon S, 2005, J AFR ECON, V14, P559, DOI 10.1093/jae/eji022
   Feng SZ, 2010, P NATL ACAD SCI USA, V107, P14257, DOI 10.1073/pnas.1002632107
   Foresight, 2011, Migration and global environmental change: Future challenges and opportunities, P234
   Gemenne F, 2017, GEOGR J, V183, P336, DOI 10.1111/geoj.12205
   Genoni ME, 2012, ECON DEV CULT CHANGE, V60, P475, DOI 10.1086/664019
   Nguyen G, 2020, ECON ANAL POLICY, V65, P117, DOI 10.1016/j.eap.2019.11.009
   Gray C, 2013, DEMOGRAPHY, V50, P1217, DOI 10.1007/s13524-012-0192-y
   Gray C, 2012, WORLD DEV, V40, P134, DOI 10.1016/j.worlddev.2011.05.023
   HABITABLE Project, 2020, HABITABLE
   Halliday T, 2006, ECON DEV CULT CHANGE, V54, P893, DOI 10.1086/503584
   Hassan E., 2005, The Internet Journal of Epidemiology, V3, DOI [10.5580/2732, DOI 10.5580/2732]
   Heltberg R, 2015, J DEV STUD, V51, P209, DOI 10.1080/00220388.2014.959934
   Hirvonen K, 2016, AM J AGR ECON, V98, P1230, DOI 10.1093/ajae/aaw042
   Hirvonen K, 2015, WORLD DEV, V70, P186, DOI 10.1016/j.worlddev.2015.01.007
   Hoddinott J., 2003, Data sources for microeconometric risk and vulnerability assessments
   Hoffmann R, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac7d65
   Hoffmann R, 2021, NAT CLIM CHANGE, V11, P1019, DOI 10.1038/s41558-021-01231-2
   Hoffmann R, 2021, GLOBAL ENVIRON CHANG, V71, DOI 10.1016/j.gloenvcha.2021.102367
   Homer-Dixon T. F., 1999, Environment, Scarcity, and Violence, DOI [10.2307/j.ctt7pgg0, DOI 10.2307/J.CTT7PGG0]
   Horton RM, 2021, SCIENCE, V372, P1279, DOI 10.1126/science.abi8603
   Hugo G., 2008, Migration, Development and Environment. Migration and the environment: Developing a global research agenda, DOI [10.18356/7722fb75-en, DOI 10.18356/7722FB75-EN]
   Hunter LM, 2023, INT MIGR REV, V57, P5, DOI 10.1177/01979183221074343
   Josephon A., 2019, 2019 6 INT C
   Kafle K., 2015, AGR APPL EC ASS AAEA
   Kafle K, 2018, WORLD DEV, V109, P14, DOI 10.1016/j.worlddev.2018.04.006
   Kälin W, 2018, INT J REFUG LAW, V30, P664, DOI 10.1093/ijrl/eey047
   KATZ E, 1986, J LABOR ECON, V4, P134, DOI 10.1086/298097
   Kozel V., 2008, Social Protection Discussion Papers and Notes, V44780
   Kubik Z., 2017, Climatic variation as a determinant of rural-to-rural migration destination choice: Evidence from Tanzania
   Kubik Z, 2016, J DEV STUD, V52, P665, DOI 10.1080/00220388.2015.1107049
   Lasway J.A., 2021, AFR REV, V48, P545, DOI [10.1163/1821889X-12340053, DOI 10.1163/1821889X-12340053]
   LEE ES, 1966, DEMOGRAPHY, V3, P47, DOI 10.2307/2060063
   Lenton TM, 2013, ENVIRON SCI POLICY, V27, pS60, DOI 10.1016/j.envsci.2012.06.011
   Lindstrom DP, 2023, INT MIGR REV, V57, P1569, DOI 10.1177/01979183221139115
   LUCAS REB, 1985, J POLIT ECON, V93, P901, DOI 10.1086/261341
   Ludolph L., 2021, CEPA Discussion Papers
   Marchiori L, 2012, J ENVIRON ECON MANAG, V63, P355, DOI 10.1016/j.jeem.2012.02.001
   MASSEY DS, 1987, SCIENCE, V237, P733, DOI 10.1126/science.237.4816.733
   Maystadt JF, 2016, J ASSOC ENVIRON RESO, V3, P417, DOI 10.1086/684579
   McLeman R., 2018, Platform on disaster displacement, follow-up to the Nansen Initiative, DOI [10.4324/9781315638843-34, DOI 10.4324/9781315638843-34]
   McLeman R, 2021, CLIMATIC CHANGE, V165, DOI 10.1007/s10584-021-03056-6
   McLeman R, 2019, NAT CLIM CHANGE, V9, P911, DOI 10.1038/s41558-019-0634-2
   McLeman R, 2018, POPUL ENVIRON, V39, P319, DOI 10.1007/s11111-017-0290-2
   McMichael C, 2012, ENVIRON HEALTH PERSP, V120, P646, DOI 10.1289/ehp.1104375
   Mendola M, 2012, J INT DEV, V24, P102, DOI 10.1002/jid.1684
   Millock K, 2015, ANNU REV RESOUR ECON, V7, P35, DOI 10.1146/annurev-resource-100814-125031
   Moreno-Serra R, 2022, CONFL HEALTH, V16, DOI 10.1186/s13031-022-00446-0
   Moshi I., 2018, Tanzania: National Urban Policies and City Profiles for Dar es Salaam and Ifakara, P151
   Mtika MM, 2007, SOC SCI MED, V64, P2454, DOI 10.1016/j.socscimed.2007.04.006
   Mueller V, 2014, NAT CLIM CHANGE, V4, P182, DOI [10.1038/nclimate2103, 10.1038/NCLIMATE2103]
   Mueller V, 2020, WORLD DEV, V126, DOI 10.1016/j.worlddev.2019.104704
   Nawrotzki RJ, 2017, CLIMATIC CHANGE, V140, P243, DOI 10.1007/s10584-016-1849-0
   Nawrotzki RJ, 2018, REG ENVIRON CHANGE, V18, P533, DOI 10.1007/s10113-017-1224-3
   Nawrotzki RJ, 2017, POPUL SPACE PLACE, V23, DOI 10.1002/psp.2033
   Nikoloski Z., 2017, Agriculture in Africa: Telling Myths from Facts, DOI [10.1596/978-1-4648-1134-0, DOI 10.1596/978-1-4648-1134-0]
   Ocello C, 2015, POPUL ENVIRON, V37, P99, DOI 10.1007/s11111-014-0229-9
   Ortenblad SB, 2019, EUR J DEV RES, V31, P118, DOI 10.1057/s41287-018-0177-9
   Panda A, 2013, DEV POLICY REV, V31, P57, DOI 10.1111/dpr.12039
   Parsons L, 2021, ANN AM ASSOC GEOGR, V111, P971, DOI 10.1080/24694452.2020.1807899
   Piguet E, 2022, WIRES CLIM CHANGE, V13, DOI 10.1002/wcc.746
   Piguet E, 2013, ANN ASSOC AM GEOGR, V103, P148, DOI 10.1080/00045608.2012.696233
   Pradhan KC, 2018, J QUANT ECON, V16, P101, DOI 10.1007/s40953-017-0073-8
   Reniers G., 2003, Demographic Research, V1, P175
   ROBACK J, 1988, ECON INQ, V26, P23, DOI 10.1111/j.1465-7295.1988.tb01667.x
   ROSENZWEIG MR, 1993, J POLIT ECON, V101, P223, DOI 10.1086/261874
   ROSENZWEIG MR, 1989, J POLIT ECON, V97, P905, DOI 10.1086/261633
   Rudolf R, 2019, FOOD POLICY, V85, P40, DOI 10.1016/j.foodpol.2019.04.005
   Rutstein S. O., 2014, Wealth-Index-Construction
   Rutstein SO., 2004, DHS COMP REPORTS NO, DOI [10.13140/2.1.2806.4809, DOI 10.13140/2.1.2806.4809]
   Sellers S, 2019, ENVIRON HEALTH PERSP, V127, DOI 10.1289/EHP4534
   STARK O, 1985, AM ECON REV, V75, P173
   Suhrke A., 1994, J INT AFF, V47, P473
   The World Bank Group, 2022, World Bank Data Catalog. Data Catalog
   The World Bank Group, 2019, Country profile: Tanzania. Data Catalog
   United Republic of Tanzania (URT), 2015, Migration and urbanisation monograph
   van der Geest K, 2011, INT MIGR, V49, pe69, DOI 10.1111/j.1468-2435.2010.00645.x
   Warner K., 2022, Forced Displacement and Migration: Approaches and Programmes of International Cooperation, P147, DOI [10.1007/978-3-658-32902-0_9, DOI 10.1007/978-3-658-32902-0_9]
   Warner K, 2012, ENVIRON PLANN C, V30, P1061, DOI 10.1068/c1209j
   Williams NE, 2020, POPUL ENVIRON, V41, P286, DOI 10.1007/s11111-019-00334-5
   World Bank Group, 2020, New World Bank country classifications by income level: 2020-2021
   Zander KK, 2013, NAT HAZARDS, V67, P591, DOI 10.1007/s11069-013-0591-4
   Zickgraf Caroline., 2018, ROUTLEDGE HDB ENV DI
NR 117
TC 4
Z9 4
U1 1
U2 3
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0199-0039
EI 1573-7810
J9 POPUL ENVIRON
JI Popul. Env.
PD MAR
PY 2024
VL 46
IS 1
AR 7
DI 10.1007/s11111-024-00449-4
PG 30
WC Demography; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Demography; Environmental Sciences & Ecology
GA JD7C0
UT WOS:001171278400001
OA hybrid
DA 2025-01-10
ER

PT J
AU Bernini, A
   Becker, R
   Adeniyi, OD
   Pilla, G
   Sadeghi, SH
   Maerker, M
AF Bernini, Alice
   Becker, Rike
   Adeniyi, Odunayo David
   Pilla, Giorgio
   Sadeghi, Seyed Hamidreza
   Maerker, Michael
TI Hydrological Implications of Recent Droughts (2004-2022): A SWAT-Based
   Study in an Ancient Lowland Irrigation Area in Lombardy, Northern Italy
SO SUSTAINABILITY
LA English
DT Article
DE agricultural water; drought management; hydrological modeling; water
   shortage; evapotranspiration; climate change adaption
ID ASSESSMENT-TOOL SWAT; SOIL-MOISTURE; ECONOMIC-IMPACTS; WATER-QUALITY;
   LAND-USE; MODEL; EVAPOTRANSPIRATION; CALIBRATION; CLIMATE; PRECIPITATION
AB This study examines the hydrological dynamics of the Ticino irrigation cascade in northern Italy from 2004 to 2022. The region, which is shaped by human activity, is characterized by its flat topography and complex management of water resources, featuring a unique historic irrigation cascade. Utilizing the Soil and Water Assessment Tool (SWAT), we investigated the water availability during recent severe droughts in this complex agricultural environment, which lacks natural drainage. This area faces risks due to increasing temperatures and increased rainless days. Therefore, understanding the soil water dynamics is essential for maintaining the system's sustainability. Calibrating and validating the SWAT model with runoff data was challenging due to the absence of natural drainage. Thus, we utilized MOD16 evapotranspiration (AET) data for calibration. Generally, the calibration and validation of the SWAT model yielded satisfactory results in terms of the Kling-Gupta efficiency (KGE). Despite some discrepancies, which were mainly related to the data sources and resolution, the calibrated model's outputs showed increased actual evapotranspiration that was influenced by climate and irrigation, leading to water deficits and droughts. The soil water content (SWC) decreased by 7% over 15 years, impacting crop productivity and environmental sustainability. This also resulted in rising water stress for crops and the ecosystem in general, highlighting the direct impact of adverse climate conditions on soil hydrology and agriculture. Our research contributes to the understanding of soil-water dynamics, as it specifically addresses recent droughts in the Lombardy lowlands.
C1 [Bernini, Alice; Adeniyi, Odunayo David; Pilla, Giorgio; Sadeghi, Seyed Hamidreza; Maerker, Michael] Univ Pavia, Dept Earth & Environm Sci, Via Ferrata 1, I-27100 Pavia, Italy.
   [Becker, Rike] Univ Kassel, Fac Organ Agr Sci, Dept Agroecosyst Anal & Modelling, D-37213 Witzenhausen, Germany.
   [Sadeghi, Seyed Hamidreza] Tarbiat Modares Univ, Fac Nat Resources, Dept Watershed Management Engn, Noor 4641776489, Iran.
   [Maerker, Michael] Leibniz Ctr Agr Landscape Res, Dept Landscape Functioning, D-15374 Muncheberg, Germany.
C3 University of Pavia; Universitat Kassel; Tarbiat Modares University;
   Leibniz Association; Leibniz Zentrum fur Agrarlandschaftsforschung
   (ZALF)
RP Maerker, M (corresponding author), Univ Pavia, Dept Earth & Environm Sci, Via Ferrata 1, I-27100 Pavia, Italy.; Maerker, M (corresponding author), Leibniz Ctr Agr Landscape Res, Dept Landscape Functioning, D-15374 Muncheberg, Germany.
EM alice.bernini01@universitadipavia.it; rike.becker@uni-kassel.de;
   odunayodavid.adeniyi01@universitadipavia.it; giorgio.pilla@unipv.it;
   sadeghi@modares.ac.ir; michael.maerker@zalf.de
RI Adeniyi, Odunayo David/ABF-2856-2022; Sadeghi, Seyed
   Hamidreza/W-6080-2018; Maerker, Michael/C-5181-2016
OI Adeniyi, Odunayo David/0000-0002-1312-9255; Bernini,
   Alice/0000-0002-9655-9794; Sadeghi, Seyed Hamidreza/0000-0002-5419-8062;
   Maerker, Michael/0000-0003-0632-1422
FU Regione Lombardia, POR FESR 2014-2020-Call HUB Ricerca e Innovazione
FX We acknowledge the DLR and the TDX Science Team for providing the
   Tandem-X dataset of the study area.
CR Abbaspour KC, 2019, SCI DATA, V6, DOI 10.1038/s41597-019-0282-4
   Abbaspour KC, 2015, J HYDROL, V524, P733, DOI 10.1016/j.jhydrol.2015.03.027
   Abbaspour KC, 2007, MODSIM 2007: INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION, P1603
   Abbaspour KC, 2007, J HYDROL, V333, P413, DOI 10.1016/j.jhydrol.2006.09.014
   Abdullah NHH, 2018, AIP CONF PROC, V2020, DOI 10.1063/1.5062642
   Abiodun OO, 2018, HYDROL EARTH SYST SC, V22, P2775, DOI 10.5194/hess-22-2775-2018
   Aboelnour M, 2020, WATER-SUI, V12, DOI 10.3390/w12010191
   Ahmad I, 2015, ADV METEOROL, V2015, DOI 10.1155/2015/431860
   [Anonymous], 2019, Atlante Descrittivo, P51
   Arnold JG, 2012, T ASABE, V55, P1491
   Arnold J.G., 2012, Input/Output Documentation Soil Water Assessment Tool, P1
   Arnold JG, 1998, J AM WATER RESOUR AS, V34, P73, DOI 10.1111/j.1752-1688.1998.tb05961.x
   arpalombardia, FORM RICHIESTA DATI
   Atta-ur-Rahman,, 2017, CLIM DYNAM, V48, P783, DOI 10.1007/s00382-016-3110-y
   Azar R, 2016, EUR J REMOTE SENS, V49, P361, DOI 10.5721/EuJRS20164920
   Baker EA, 2022, J HYDROL, V614, DOI 10.1016/j.jhydrol.2022.128536
   Baker TJ, 2013, J HYDROL, V486, P100, DOI 10.1016/j.jhydrol.2013.01.041
   Balestrini R, 2021, SCI TOTAL ENVIRON, V753, DOI 10.1016/j.scitotenv.2020.141995
   Becker R, 2019, J HYDROL, V577, DOI 10.1016/j.jhydrol.2019.123944
   Bove M., 2021, Il Risicoltore, P2
   Bux C, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14159143
   Coldiretti Siccita, 250mila Aziende a Rischio Crack
   Comune di Abbiategrasso, 2009, Piano di Governo del Territorio, P0
   Crespi A, 2021, INT J CLIMATOL, V41, P162, DOI 10.1002/joc.6614
   Datta S., 2017, Okla. Coop. Ext. Serv, pBAE
   De Caro M, 2020, J HYDROL-REG STUD, V29, DOI 10.1016/j.ejrh.2020.100683
   De Luca DA, 2014, B ENG GEOL ENVIRON, V73, P409, DOI 10.1007/s10064-013-0527-y
   Deutsches Zentrum fur Luftund Raumfahrt (German Aerospace Center), About us
   Ding Y, 2011, DISASTER PREV MANAG, V20, P434, DOI 10.1108/09653561111161752
   Donmez C, 2020, WATER-SUI, V12, DOI 10.3390/w12123479
   Douglas-Mankin KR, 2010, T ASABE, V53, P1423
   Egidio E, 2022, WATER-SUI, V14, DOI 10.3390/w14182797
   Faranda D, 2023, ENVIRON RES LETT, V18, DOI 10.1088/1748-9326/acbc37
   Forootan E, 2023, INT J ENVIRON SCI TE, V20, P3059, DOI 10.1007/s13762-023-04759-2
   Francesconi W, 2016, J HYDROL, V535, P625, DOI 10.1016/j.jhydrol.2016.01.034
   Freire-González J, 2017, ECOL ECON, V132, P196, DOI 10.1016/j.ecolecon.2016.11.005
   Fumagalli N, 2017, EUR COUNTRYS, V9, P1, DOI 10.1515/euco-2017-0001
   Gao X, 2014, LAND DEGRAD DEV, V25, P163, DOI 10.1002/ldr.1156
   Giorgi F, 2011, J CLIMATE, V24, P5309, DOI 10.1175/2011JCLI3979.1
   Giuliana V, 2024, INT J LIFE CYCLE ASS, V29, P1523, DOI 10.1007/s11367-022-02109-x
   Glenn EP, 2015, J ARID ENVIRON, V117, P84, DOI 10.1016/j.jaridenv.2015.02.010
   Immerzeel WW, 2008, J HYDROL, V349, P411, DOI 10.1016/j.jhydrol.2007.11.017
   ISAC CNR, MEAN TEMPERATURE-Latest Month Analysis
   IUSS Working Group WRB, 2015, World Soil Resources Reports, V106, DOI DOI 10.1017/S0014479706394902
   Janjic J, 2023, EARTH-BASEL, V4, P331, DOI 10.3390/earth4020018
   KENDALL MG, 1955, BIOMETRICS, V11, P43, DOI 10.2307/3001479
   Kling H, 2012, J HYDROL, V424, P264, DOI 10.1016/j.jhydrol.2012.01.011
   Kottek M, 2006, METEOROL Z, V15, P259, DOI 10.1127/0941-2948/2006/0130
   Kuwayama Y, 2019, AM J AGR ECON, V101, P193, DOI 10.1093/ajae/aay037
   Lam QD, 2010, AGR WATER MANAGE, V97, P317, DOI 10.1016/j.agwat.2009.10.004
   Lasagna M, 2020, SCI TOTAL ENVIRON, V716, DOI 10.1016/j.scitotenv.2020.137051
   Lindsey R., Climate Change: Global Temperature
   López PL, 2017, HYDROL EARTH SYST SC, V21, P3125, DOI 10.5194/hess-21-3125-2017
   losan.ersaflombardia, ERSAF Ente Regionale per i Servizi alla Agricoltura e alle Foreste-Regione; Lombardia. Losan Database
   Mahzari S., 2016, Ecopersia, V4, P1359, DOI [10.18869/modares.ecopersia.4.2.1359, DOI 10.18869/MODARES.ECOPERSIA.4.2.1359]
   Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187
   Masseroni D, 2017, WATER-SUI, V9, DOI 10.3390/w9010020
   McLeod A.I., Kendall
   MILLY PCD, 1994, WATER RESOUR RES, V30, P2143, DOI 10.1029/94WR00586
   Mimeau L, 2021, HYDROL EARTH SYST SC, V25, P653, DOI 10.5194/hess-25-653-2021
   National Center for Environmental Information, Annual 2022 Global Climate Report
   Neitsch S, 2011, SOIL WATER ASSESSMEN
   Norouzi Nazar MS, 2020, Ecopersia, V8, P169, DOI 20.1001.1.23222700.2020.8.3.3.6
   Odusanya AE, 2019, HYDROL EARTH SYST SC, V23, P1113, DOI 10.5194/hess-23-1113-2019
   Parajuli PB, 2022, HYDROLOGY-BASEL, V9, DOI 10.3390/hydrology9060103
   Parajuli PB, 2018, WATER RESOUR MANAG, V32, P985, DOI 10.1007/s11269-017-1850-z
   Perego A, 2014, SCI TOTAL ENVIRON, V499, P497, DOI 10.1016/j.scitotenv.2014.05.092
   Qi JY, 2018, ENVIRON MODELL SOFTW, V109, P329, DOI 10.1016/j.envsoft.2018.08.024
   Qiao Lei, 2022, Journal of Hydrology: Regional Studies, DOI 10.1016/j.ejrh.2022.101275
   Regione Lombardia, 2013, BASI INFORM SUOLI
   risoitaliano, Ente Risi Riso Italiano
   Sareshtehdari A., 2015, Ecopersia, V2, P715
   Shah S, 2021, J HYDROL, V603, DOI 10.1016/j.jhydrol.2021.127046
   SNPA, 2023, Il Clima in Italia Nel 2022, P1
   SNPA Cambiamento Climatico, Lombardia, Oltre un Secolo di Dati Dall'osservatorio Milano Brera
   SNPA SNPA Presenta il Rapporto, 2018, GLI INDICATORI DEL CLIMA IN ITALIA NEL 2017
   Straffelini E, 2023, AGR SYST, V208, DOI 10.1016/j.agsy.2023.103647
   Sun Y, 2020, WATER RESOUR RES, V56, DOI 10.1029/2020WR027468
   Tsuchiya R, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10093246
   Uniyal B, 2019, AGR WATER MANAGE, V223, DOI 10.1016/j.agwat.2019.105714
   Walker W.R., 1989, GUIDELINES DESIGNING
   Wilhite DA, 2007, WATER RESOUR MANAG, V21, P763, DOI 10.1007/s11269-006-9076-5
   Wu D, 2019, J HYDROL, V568, P1031, DOI 10.1016/j.jhydrol.2018.11.057
   Xing Zi-kang, 2020, Proceedings of the International Association of Hydrological Sciences, P261, DOI 10.5194/piahs-383-261-2020
   Zhou TR, 2021, J ARID LAND, V13, P1015, DOI 10.1007/s40333-021-0021-5
NR 85
TC 2
Z9 2
U1 1
U2 3
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD DEC
PY 2023
VL 15
IS 24
AR 16771
DI 10.3390/su152416771
PG 22
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA DG9C8
UT WOS:001130984400001
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU File, DJMB
   Nhamo, G
AF File, Dramani Juah M-Buu
   Nhamo, Godwell
TI Farmers' choice for indigenous practices and implications for
   climate-smart agriculture in northern Ghana
SO HELIYON
LA English
DT Article
DE Climate-smart agriculture; Indigenous knowledge; Climate change;
   Smallholder farmers; Ghana
ID SMALLHOLDER FARMERS; RURAL COMMUNITIES; CHANGE ADAPTATION; VARIABILITY;
   IMPACTS; INFORMATION; KNOWLEDGE
AB Smallholder agriculture in Northwestern Ghana continues to suffer the increasing threats of climate change and variability. The extant literature has argued that climate-smart agriculture is the way forward for smallholder farmers to reduce the threats of climate change and variability in agriculture production. However, smallholder farmers continue to rely on indigenous knowledge and practices in their day-to-day agricultural activities. Few studies have explored the rationale and factors that explain smallholder farmers choice of local agriculture practices. This study explored the rationale and factors that explain smallholder farmers' choice of indigenous knowledge and agriculture practices. The mixed research method approach involving both quantitative and qualitative methods were employed for data collection and analysis. A survey, involving 305 household heads, 31 in-depth interviews and 18 focus group discussions were held with key participants for the data. The results showed that smallholder farmers' decisions to adopt indigenous practices for climate change adaptation were influenced by socio-demographic characteristics, access to farm capital, landscape and distance to farms, accessibility and reliability of practices, accessibility and cost of inputs, land tenure, access to extension services, and socio-cultural beliefs. These variables were statistically significant at 5 %. The paper concludes that these factors will continue to limit farmers' ability to adopt climate-smart and other improved agricultural practices. This will aggravate smallholder households' vulnerability to food insecurity and poverty. It is, therefore, recommended that climate-smart agriculture practices should be framed within the context of the aforementioned factors influencing farmers choice of indigenous farming practices in mainstreaming them into climate-smart agriculture.
C1 [File, Dramani Juah M-Buu] Univ South Africa, Coll Agr & Environm Sci, Dept Environm Sci, Pretoria, South Africa.
   [Nhamo, Godwell] Univ South Africa, Inst Corp Citizenship, Pretoria, South Africa.
C3 University of South Africa; University of South Africa
RP File, DJMB (corresponding author), Univ South Africa, Coll Agr & Environm Sci, Dept Environm Sci, Pretoria, South Africa.
EM dramanifile@gmail.com
RI Nhamo, Godwell/N-5165-2015; File, Dramani J.M./KHX-9090-2024
OI Nhamo, Godwell/0000-0001-5465-2168; File, Dramani
   J.M./0000-0002-6970-3498
FU University of South Africa (UNISA Master & Doctoral Bursary support) ,
   Pretoria, South Africa
FX Funding statement The study is part of PhD work of Dramani J.M. File,
   and he received University of South Africa (UNISA Master & Doctoral
   Bursary support) , Pretoria, South Africa.
CR Addison M, 2022, AGR FOOD SECUR, V11, DOI 10.1186/s40066-021-00339-0
   Adebisi-Adelani O., 2014, International Journal of Vegetable Science, V20, P366, DOI 10.1080/19315260.2013.813890
   Agula C., 2018, Agric Food Secur, DOI [DOI 10.1186/S40066-018-0157-5, https://doi.org/10.1186/s40066-018-0157-5]
   Akrofi-Atitianti F, 2018, LAND-BASEL, V7, DOI 10.3390/land7010030
   Alhassan S. I., 2018, West African Journal of Applied Ecology, V26, P1
   Alhassan SI., 2018, Journal of Energy and Natural Resource Management, V1, P1
   Ali A, 2017, CLIM RISK MANAG, V16, P183, DOI 10.1016/j.crm.2016.12.001
   Anang BT, 2020, HELIYON, V6, DOI 10.1016/j.heliyon.2020.e05517
   Ankrah DA, 2022, AFR J SCI TECHNOL IN, V14, P1007, DOI 10.1080/20421338.2021.1923394
   [Anonymous], 2021, Population of Regions and Districts [Internet]
   Ansah G. O., 2022, J EARTH SCI CLIM CHA, V8, P431, DOI [10.4172/2157-7617.1000431, DOI 10.4172/2157-7617.1000431]
   Ansuategi A., 2015, The impact of climate change on the achievement of the post-2015 sustainable development goals
   Arbuckle JG Jr, 2015, ENVIRON BEHAV, V47, P205, DOI 10.1177/0013916513503832
   Atta-Aidoo J., 2022, PLOS Climate, V1, pe0000082, DOI DOI 10.1371/JOURNAL.PCLM.0000082
   Audefroy J.F., 2017, International Journal of Sustainable Built Environment, V6, P228, DOI [10.1016/j.ijsbe.2017.03.007, DOI 10.1016/J.IJSBE.2017.03.007]
   Ayanlade A, 2017, WEATHER CLIM EXTREME, V15, P24, DOI 10.1016/j.wace.2016.12.001
   Ayisi DN, 2022, HELIYON, V8, DOI 10.1016/j.heliyon.2022.e10421
   Baaweh L., 2022, International Journal of Rural Management, DOI DOI 10.1177/09730052221087020
   Babbie E., 2013, The practice of social research
   Bekuma T., 2023, Research in Globalization, V6, DOI 10.1016/j.resglo.2022.100110
   Bhattacherjee A., 2012, Textbooks Collection, DOI DOI 10.1186/1478-4505-9-2
   Buah S.S.J., 2017, Agric. Food Secur, V6, P1, DOI DOI 10.1186/S40066-017-0094-8
   Bwambale B, 2018, JAMBA-J DISASTER RIS, V10, DOI 10.4102/jamba.v10i1.536
   Castro B, 2022, GLOBAL ENVIRON CHANG, V75, DOI 10.1016/j.gloenvcha.2022.102555
   Creswell J. W., 2018, Research design: qualitative, quantitative, and mixed methods approaches
   Creswell J.W., 2009, Research Desing., Vthird
   Danso-Abbeam G, 2020, HELIYON, V6, DOI 10.1016/j.heliyon.2020.e05393
   Dapilah F, 2020, CLIM DEV, V12, P42, DOI 10.1080/17565529.2019.1596063
   Davies JE, 2020, CLIM DEV, V12, P268, DOI 10.1080/17565529.2019.1613952
   Derbile EK, 2022, LOCAL ENVIRON, V27, P327, DOI 10.1080/13549839.2022.2040463
   Derbile EK, 2022, CLIM DEV, V14, P39, DOI 10.1080/17565529.2021.1881423
   Dinku A. M., 2018, Agriculture and Food Security, V7, DOI 10.1186/s40066-018-0192-2
   Dittoh S., 2020, Assessment of Farmer-Led Irrigation Development in Ghana
   Dube E, 2018, JAMBA-J DISASTER RIS, V10, DOI 10.4102/jamba.v10i1.493
   Dumenu WK, 2016, ENVIRON SCI POLICY, V55, P208, DOI 10.1016/j.envsci.2015.10.010
   Elum ZA, 2018, J WATER CLIM CHANGE, V9, P500, DOI 10.2166/wcc.2018.020
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Ghana Statistical Service, 2013, 2010 Population and Housing Census: Upper west regional analytical report
   Guodaar L, 2021, APPL GEOGR, V130, DOI 10.1016/j.apgeog.2021.102440
   Ibrahim N., 2019, Analysis of smallholder farmers ' perceptions on climate change , preference and willingness-to-pay for seasonal climate forecasts information in Savelugu Municipality, Ghana, V9, P1, DOI [10.9734/AJEE/2019/v9i130084, DOI 10.9734/AJEE/2019/V9I130084]
   Ifeanyi-Obi CC, 2017, CLIM RISK MANAG, V17, P155, DOI 10.1016/j.crm.2017.04.002
   Iloka Nnamdi G, 2016, Jamba, V8, P272, DOI 10.4102/jamba.v8i1.272
   Iocca L, 2022, CLIM DEV, V14, P537, DOI 10.1080/17565529.2021.1949573
   Jabik BB, 2023, CLIM DEV, V15, P69, DOI 10.1080/17565529.2022.2057403
   Jarawura F., 2021, Ghana Journal of Geography, V13, P103, DOI DOI 10.4314/GJG.V13I1.6
   Jiri O., 2016, Journal of Agricultural Science (Toronto), V8, P156, DOI 10.5539/jas.v8n5p156
   Kangah H, 2022, COGENT SOC SCI, V8, DOI 10.1080/23311886.2022.2108214
   Kassie M, 2018, LAND USE POLICY, V77, P186, DOI 10.1016/j.landusepol.2018.05.041
   Kephe PN, 2020, HELIYON, V6, DOI 10.1016/j.heliyon.2020.e04989
   Khatri-Chhetri A, 2017, AGR SYST, V151, P184, DOI 10.1016/j.agsy.2016.10.005
   Kroeger A., Forestand climate-smart cocoa in Cote d'Ivoire and Ghana, aligning stakeholders to support smallholders in deforestation-free cocoa, P1
   Kroeger A., 2017, for. Clim, Cocoa Cote d'Ivoire Ghana., DOI [10.1596/29014, DOI 10.1596/29014]
   Kupika O.L., 2020, Handb. Clim. Chang. Manag, DOI [10.1007/978-3-030-22759-3, DOI 10.1007/978-3-030-22759-3]
   Kuusaana ED, 2022, FRONT SUSTAIN FOOD S, V6, DOI 10.3389/fsufs.2022.797383
   Kwapong NA, 2020, QUAL REP, V25, P2011
   Laksono P, 2022, HELIYON, V8, DOI 10.1016/j.heliyon.2022.e10178
   Lipper L, 2014, NAT CLIM CHANGE, V4, P1068, DOI [10.1038/NCLIMATE2437, 10.1038/nclimate2437]
   M. Of F. A. of the N. Netherlands, 2018, Climate change profile: Ghana.
   Menike LMCS, 2016, PROC FOOD SCI, V6, P288, DOI 10.1016/j.profoo.2016.02.057
   Ministry of Finance, 2019, Mid-year Fiscal Policy Review of the 2019 Budget Statement and Economic Policy & Supplementary Estimates of the Government of Ghana for the 2019 Financial Year
   Morton LW, 2017, CLIM RISK MANAG, V15, P18, DOI 10.1016/j.crm.2016.09.002
   Mulwa C, 2017, CLIM RISK MANAG, V16, P208, DOI 10.1016/j.crm.2017.01.002
   Murhaini S, 2021, HELIYON, V7, DOI 10.1016/j.heliyon.2021.e08578
   Musarandega H, 2018, JAMBA-J DISASTER RIS, V10, DOI 10.4102/jamba.v10i1.651
   Mutegi J., 2018, Sub-Saharan Africa., V7, P21
   Muyambo F, 2017, JAMBA-J DISASTER RIS, V9, DOI 10.4102/jamba.v9i1.420
   Napogbong LA, 2021, J WATER CLIM CHANGE, V12, P484, DOI 10.2166/wcc.2020.236
   Negera M, 2022, HELIYON, V8, DOI 10.1016/j.heliyon.2022.e09824
   Neufeldt H, 2016, SUSTAINABLE AGRICULTURE AND FOOD SUPPLY: SCIENTIFIC, ECONOMIC, AND POLICY ENHANCEMENTS, P337
   Nguru WM, 2021, HELIYON, V7, DOI 10.1016/j.heliyon.2021.e08497
   Nyasimi M, 2017, CLIMATE, V5, DOI 10.3390/cli5030063
   Nyong A., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P787, DOI 10.1007/s11027-007-9099-0
   Ogunleye A, 2021, HELIYON, V7, DOI 10.1016/j.heliyon.2021.e08624
   Ogunyiola A, 2022, CLIM POLICY, V22, P411, DOI 10.1080/14693062.2021.2023451
   Ouédraogo M, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030611
   Partey ST, 2018, J CLEAN PROD, V187, P285, DOI 10.1016/j.jclepro.2018.03.199
   Pattiasina T.A., 2023, Asian J. Agric. Rural Dev, V13, P206, DOI [10.55493/5005.v13i3.4844, DOI 10.55493/5005.V13I3.4844]
   Rakotobe ZL, 2016, INT J DISAST RISK RE, V17, P114, DOI 10.1016/j.ijdrr.2016.04.013
   Rosenstock T.S., 2019, The Climate-Smart Agriculture Papers., DOI [10.1007/978-3-319-92798-5, DOI 10.1007/978-3-319-92798-5]
   Shah J, 2022, AGRICULTURE-BASEL, V12, DOI 10.3390/agriculture12030412
   Sibanda L.M., 2017, Food, Agriculture and Natural Resources Policy Analysis Network, P1
   Silvestri S, 2021, INT J AGR SUSTAIN, V19, P583, DOI 10.1080/14735903.2020.1750796
   Spear D, 2019, CLIM SERV, V14, P31, DOI 10.1016/j.cliser.2019.05.001
   TAYE A., 2017, International Journal of Bonorowo Wetlands, V7, P95, DOI [10.13057/bonorowo/w070206, DOI 10.13057/BONOROWO/W070206]
   Taylor M, 2018, J PEASANT STUD, V45, P89, DOI 10.1080/03066150.2017.1312355
   Tesfahunegn GB, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0242444
   Torquebiau E, 2018, CAH AGRIC, V27, DOI 10.1051/cagri/2018010
   United Nations Framework Convention on Climate Change, 2018, United Nations Climate Change Annual Report 2017.
   Wood SA, 2014, GLOBAL ENVIRON CHANG, V25, P163, DOI 10.1016/j.gloenvcha.2013.12.011
   World Bank Group, 2021, Climate Risk Profile: Ghana.
   Xie HL, 2019, LAND-BASEL, V8, DOI 10.3390/land8110157
   Yamane T., 1967, Statistics: An introductory analysis, V2nd ed
   Yiridomoh G.Y., 2022, Oxf Open Clim Chang, V2, DOI [10.1093/oxfclm/kgac005, DOI 10.1093/OXFCLM/KGAC005]
   Zougmoré RB, 2018, CAH AGRIC, V27, DOI 10.1051/cagri/2018019
NR 94
TC 6
Z9 6
U1 7
U2 13
PU CELL PRESS
PI CAMBRIDGE
PA 50 HAMPSHIRE ST, FLOOR 5, CAMBRIDGE, MA 02139 USA
EI 2405-8440
J9 HELIYON
JI Heliyon
PD NOV
PY 2023
VL 9
IS 11
AR e22162
DI 10.1016/j.heliyon.2023.e22162
EA NOV 2023
PG 14
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA AW6U0
UT WOS:001121533900001
PM 38053880
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Navarro, D
   Cantergiani, C
   Abajo, B
   de Salazar, IG
   Feliu, E
AF Navarro, Daniel
   Cantergiani, Carolina
   Abajo, Benat
   de Salazar, Izaskun Gomez
   Feliu, Efren
TI Territorial vulnerability to natural hazards in Europe: a composite
   indicator analysis and relation to economic impacts
SO NATURAL HAZARDS
LA English
DT Article; Early Access
DE Europe; Natural hazards; NUTS3; PCA; Spatial regression model;
   Vulnerability
ID MEASURING SOCIAL VULNERABILITY; RISK; DISASTERS; RESILIENCE; KATRINA;
   INDEX; LEVEL
AB This article presents an assessment of territorial vulnerability to natural hazards in Europe at the regional level (NUTS3). The novelty of the study lies in assessing vulnerability to natural hazards through a composite indicator analysis over a large extension (1395 territories in 32 different countries), and in analysing the relation between vulnerability and economic impacts of past disasters. For responding to the first goal, a principal component analysis (PCA) was performed over 25 indicators, previously grouped into susceptibility and coping capacity, and subsequently combined to obtain the final vulnerability. The main result is the spatial distribution of vulnerability to natural hazards across Europe through a normalised and comparative approach, which indicates that 288 out of 1395 regions presented a high or a very high level of vulnerability. They are concentrated in Eastern and Southern Europe, and in the Baltic Region, and the sum of their population lives in territories with high or very high vulnerability level, representing 20% of the total sample, i.e. 116 out of 528 million inhabitants. Regarding the methodology for analysing the relation between vulnerability and economic impacts, a spatial regression model has been used to combine hazard, exposure and vulnerability. The outcomes indicate a high level of agreement between vulnerability and the distribution of past economic impacts, which confirm that the indicator-based approach is a good proxy for assessing vulnerability to natural hazards. Knowing the distribution of vulnerability is of high relevance for targeting disaster risk management and climate change adaptation actions to the highest priority regions.
C1 [Navarro, Daniel; Cantergiani, Carolina; Abajo, Benat; Feliu, Efren] Tecnalia, Basque Res & Technol Alliance BRTA, Edificio 700,Parque Cientif & Tecnol Bizkaia, Derio 48160, Spain.
   [de Salazar, Izaskun Gomez] Univ Basque Country, Leioa, Spain.
C3 University of Basque Country
RP Navarro, D (corresponding author), Tecnalia, Basque Res & Technol Alliance BRTA, Edificio 700,Parque Cientif & Tecnol Bizkaia, Derio 48160, Spain.
EM daniel.navarro@tecnalia.com
OI Feliu Torres, Efren/0000-0003-1205-4885; Navarro,
   Daniel/0000-0002-0705-586X
FU ESPON through the ESPON-TITAN project (Territorial Impacts of Natural
   Disasters)
FX This work was supported by ESPON through the ESPON-TITAN project
   (Territorial Impacts of Natural Disasters).
CR Abbas HB, 2014, DISASTER PREV MANAG, V23, P395, DOI 10.1108/DPM-07-2013-0112
   Ainuddin S, 2012, NAT HAZARDS, V63, P909, DOI 10.1007/s11069-012-0201-x
   Aksha SK, 2019, INT J DISAST RISK SC, V10, P103, DOI 10.1007/s13753-018-0192-7
   [Anonymous], 2016, Report of the open-ended intergovernmental expert working group on indicators and terminology relating to disaster risk reduction, P41
   Barreca A, 2017, BUILDINGS-BASEL, V7, DOI 10.3390/buildings7040094
   Barros JL, 2015, WATER-SUI, V7, P4971, DOI 10.3390/w7094971
   Birkholz S, 2014, SCI TOTAL ENVIRON, V478, P12, DOI 10.1016/j.scitotenv.2014.01.061
   Birkmann J., 2013, MEASURING VULNERABIL, VTwo, P80
   Bivand R, 2021, MATHEMATICS-BASEL, V9, DOI 10.3390/math9111276
   Blaikie P., 1994, At Risk: Natural hazards, people's vulnerability, and disasters
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Chen WF, 2013, INT J DISAST RISK SC, V4, P169, DOI 10.1007/s13753-013-0018-6
   Conlon KC, 2020, ENVIRON HEALTH PERSP, V128, DOI 10.1289/EHP4030
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Douglas M., 1982, Risk and culture: An essay on the selection of technological and environmental dangers, DOI DOI 10.1525/J.CTT7ZW3MR
   Fekete A, 2009, NAT HAZARD EARTH SYS, V9, P393, DOI 10.5194/nhess-9-393-2009
   Finch C, 2010, POPUL ENVIRON, V31, P179, DOI 10.1007/s11111-009-0099-8
   Fischer MM., 2011, Spatial data analysis: models, methods and techniques, P47, DOI [10.1007/978-3-642-21720-3_4, DOI 10.1007/978-3-642-21720-3_4]
   Flanagan BE, 2011, J HOMEL SECUR EMERG, V8, DOI 10.2202/1547-7355.1792
   Frigerio I, 2016, ENVIRON SCI POLICY, V63, P187, DOI 10.1016/j.envsci.2016.06.001
   Grothmann T, 2006, NAT HAZARDS, V38, P101, DOI 10.1007/s11069-005-8604-6
   Harlan SL, 2013, ENVIRON HEALTH PERSP, V121, P197, DOI 10.1289/ehp.1104625
   Hua JY, 2021, SUSTAIN CITIES SOC, V64, DOI 10.1016/j.scs.2020.102507
   Hummell BMD, 2016, INT J DISAST RISK SC, V7, P111, DOI 10.1007/s13753-016-0090-9
   Jamshed A, 2020, ECOL INDIC, V118, DOI 10.1016/j.ecolind.2020.106704
   Karagiorgos K, 2016, NAT HAZARDS, V82, pS63, DOI 10.1007/s11069-016-2296-y
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   Lahti L, 2017, R J, V9, P385
   LeSage JP., 2008, REV DCONOMIE INDUSTR, V123, P19, DOI DOI 10.4000/REI.3887
   Liu DL, 2016, NAT HAZARD EARTH SYS, V16, P1123, DOI 10.5194/nhess-16-1123-2016
   Maletta R, 2022, GEORISK, V16, P301, DOI 10.1080/17499518.2020.1815214
   Martins B, 2020, GEOGR J, V186, P375, DOI 10.1111/geoj.12357
   Medina N, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12041452
   Meerow S, 2017, LANDSCAPE URBAN PLAN, V159, P62, DOI 10.1016/j.landurbplan.2016.10.005
   Morrow Betty., 2008, COMMUNITY RESILIENCE, DOI [DOI 10.13140/RG.2.1.1278.9604, 10.13140/RG.2.1.1278.9604.]
   Murphy BL, 2007, NAT HAZARDS, V41, P297, DOI 10.1007/s11069-006-9037-6
   Myers CA, 2008, POPUL ENVIRON, V29, P271, DOI 10.1007/s11111-008-0072-y
   Nakagawa S., 2004, International Journal of Mass Emergencies and Disasters, V22, P5, DOI DOI 10.1177/028072700402200101
   Nardo M., 2008, Handbook on constructing composite indicators: Methodology and user guide
   Navarro D, 2020, INVESTIG GEOGR-SPAIN, P29, DOI 10.14198/INGEO2020.NVN
   Newman L, 2005, ECOL SOC, V10, DOI 10.5751/ES-01396-1001r02
   Ogie RI, 2019, INT J DISAST RISK SC, V10, P404, DOI 10.1007/s13753-019-0224-y
   OliverSmith A, 1996, ANNU REV ANTHROPOL, V25, P303, DOI 10.1146/annurev.anthro.25.1.303
   Oppio A, 2017, GREEN ENERGY TECHNOL, P277, DOI 10.1007/978-3-319-49676-4_21
   Pelling Mark., 1998, J INT DEV, V10, P469, DOI DOI 10.1002/(SICI)1099-1328(199806)10:43.0.CO;2-4
   Rufat S, 2019, ANN AM ASSOC GEOGR, V109, P1131, DOI 10.1080/24694452.2018.1535887
   Rufat S, 2013, ANN ASSOC AM GEOGR, V103, P505, DOI 10.1080/00045608.2012.702485
   Schmidt-Thome P., 2006, ESPON NATURAL HAZARDS. The spatial effects and management of natural and technological hazards in Europe
   Schmidtlein MC, 2008, RISK ANAL, V28, P1099, DOI 10.1111/j.1539-6924.2008.01072.x
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Tapia C, 2017, ECOL INDIC, V78, P142, DOI 10.1016/j.ecolind.2017.02.040
   Tasnuva A, 2021, ENVIRON DEV SUSTAIN, V23, P10223, DOI 10.1007/s10668-020-01054-9
   Tate E, 2016, NAT HAZARDS, V80, P2055, DOI 10.1007/s11069-015-2060-8
   UNDRR, 2022, Technical guidance on comprehensive risk assessment and planning in the context of climate change
   UNDRR, 2019, GLOBAL ASSESSMENT RE, P472
   Varda DM, 2009, POPUL RES POLICY REV, V28, P11, DOI 10.1007/s11113-008-9110-9
   Wachinger G, 2013, RISK ANAL, V33, P1049, DOI 10.1111/j.1539-6924.2012.01942.x
   Wisner B., 2003, Building safer cities: The future of disaster risk
   Wu T, 2021, ECOL INDIC, V129, DOI 10.1016/j.ecolind.2021.108006
   Yoon DK, 2012, NAT HAZARDS, V63, P823, DOI 10.1007/s11069-012-0189-2
   Yu J, 2021, KSCE J CIV ENG, V25, P1901, DOI 10.1007/s12205-021-0922-z
   Zhang M, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10082676
NR 62
TC 2
Z9 2
U1 1
U2 7
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0921-030X
EI 1573-0840
J9 NAT HAZARDS
JI Nat. Hazards
PD 2023 SEP 20
PY 2023
DI 10.1007/s11069-023-06165-w
EA SEP 2023
PG 25
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA S1AR5
UT WOS:001068569400001
OA hybrid
DA 2025-01-10
ER

PT J
AU Liu, SH
   Liu, Y
   Teschke, K
   Hindell, MA
   Downey, R
   Woods, B
   Kang, B
   Ma, SY
   Zhang, C
   Li, JC
   Ye, ZJ
   Sun, P
   He, JF
   Tian, YJ
AF Liu, Shuhao
   Liu, Yang
   Teschke, Katharina
   Hindell, Mark A.
   Downey, Rachel
   Woods, Briannyn
   Kang, Bin
   Ma, Shuyang
   Zhang, Chi
   Li, Jianchao
   Ye, Zhenjiang
   Sun, Peng
   He, Jianfeng
   Tian, Yongjun
TI Incorporating mesopelagic fish into the evaluation of marine protected
   areas under climate change scenarios
SO MARINE LIFE SCIENCE & TECHNOLOGY
LA English
DT Article
DE Myctophids; Marine protected areas; Species distribution model; Southern
   Ocean; Antarctic Peninsula
ID MYCTOPHID FISHES; SOUTHERN; ANTARCTICA; KRILL; CONSERVATION; KERGUELEN;
   COMMUNITY; ECOSYSTEM; NETWORKS; RESERVES
AB Mesopelagic fish (meso-fish) are central species within the Southern Ocean (SO). However, their ecosystem role and adaptive capacity to climate change are rarely integrated into marine protected area (MPAs) assessments. This is a pity given their importance as crucial prey and predators in food webs, coupled with the impacts of climate change. Here, we estimate the habitat distribution of nine meso-fish using an ensemble model approach (MAXENT, random forest, and boosted regression tree). Four climate model simulations were used to project their distribution under two representative concentration pathways (RCP4.5 and RCP8.5) for short-term (2006-2055) and long-term (2050-2099) periods. In addition, we assess the ecological representativeness of established and proposed MPAs under climate change scenarios using meso-fish as indicator species. Our models show that all species shift poleward in the future. Lanternfishes (family Myctophidae) are predicted to migrate poleward more than other families (Paralepididae, Nototheniidae, Bathylagidae, and Gonostomatidae). In comparison, lanternfishes were projected to increase habitat area in the eastern SO but lose area in the western SO; the opposite was projected for species in other families. Important areas (IAs) of meso-fish are mainly distributed near the Antarctic Peninsula and East Antarctica. Proposed MPAs cover 23% of IAs at present and 38% of IAs in the future (RCP8.5, long-term future). Many IAs of meso-fish still need to be included in MPA proposals, such as the Prydz Bay and the seas around the Antarctic Peninsula. Our results provide a framework for designing new MPAs incorporating climate change adaptation strategies for MPA management.
C1 [Liu, Shuhao; Liu, Yang; Ma, Shuyang; Zhang, Chi; Li, Jianchao; Ye, Zhenjiang; Sun, Peng; Tian, Yongjun] Ocean Univ China, Res Ctr Deep Sea & Polar Fisheries, Qingdao 266003, Peoples R China.
   [Liu, Yang; Tian, Yongjun] Ocean Univ China, Frontiers Sci Ctr Deep Ocean Multispheres & Earth, Qingdao 266100, Peoples R China.
   [Teschke, Katharina] Helmholtz Ctr Polar & Marine Res, Alfred Wegener Inst, Handelshafen 12, D-27570 Bremerhaven, Germany.
   [Teschke, Katharina] Carl von Ossietzky Univ Oldenburg, Helmholtz Inst Funct Marine Biodivers, Ammerlander Heerstr 231, D-23129 Oldenburg, Germany.
   [Hindell, Mark A.; Woods, Briannyn] Univ Tasmania, Inst Marine & Antarctic Studies, Hobart 7004, Australia.
   [Downey, Rachel] Australian Natl Univ, Fenner Sch Environm & Soc, Canberra, ACT 2602, Australia.
   [Kang, Bin] Ocean Univ China, Coll Fisheries, Qingdao 266003, Peoples R China.
   [He, Jianfeng] Polar Res Inst China, Shanghai 200136, Peoples R China.
C3 Ocean University of China; Ocean University of China; Helmholtz
   Association; Alfred Wegener Institute, Helmholtz Centre for Polar &
   Marine Research; Carl von Ossietzky Universitat Oldenburg; University of
   Tasmania; Australian National University; Ocean University of China;
   Polar Research Institute of China
RP Liu, Y (corresponding author), Ocean Univ China, Res Ctr Deep Sea & Polar Fisheries, Qingdao 266003, Peoples R China.; Liu, Y (corresponding author), Ocean Univ China, Frontiers Sci Ctr Deep Ocean Multispheres & Earth, Qingdao 266100, Peoples R China.
EM yangliu315@ouc.edu.cn
RI Hindell, Mark/K-1131-2013; Liu, Yang/AAK-3617-2020; LI,
   Jianchao/J-2053-2017; He, Jian-Feng/C-1635-2012
OI Liu, Yang/0000-0001-8548-0223; Liu, Shuhao/0000-0002-2959-5728
FU research project "Impact and Response of Antarctic Seas to Climate
   Change" (IRASCC2020-2022) from the Chinese Arctic and Antarctic
   Administration, Ministry of Natural Resources of the People's Republic
   of China [01-02-05C]
FX This study was supported by the research project "Impact and Response of
   Antarctic Seas to Climate Change" (IRASCC2020-2022-No. 01-02-05C) from
   the Chinese Arctic and Antarctic Administration, Ministry of Natural
   Resources of the People's Republic of China. We thank Dr. Rowan Trebilco
   (CSIRO Oceans and Atmosphere) for valuable comments and advice on the
   manuscript. The authors thank three anonymous reviewers and editor for
   their invaluable comments on the manuscript.
CR Agostini C, 2015, J BIOGEOGR, V42, P1103, DOI 10.1111/jbi.12497
   Allouche O, 2006, J APPL ECOL, V43, P1223, DOI 10.1111/j.1365-2664.2006.01214.x
   [Anonymous], 2009, PROT S ORKN ISL SO S
   Araújo MB, 2004, GLOBAL CHANGE BIOL, V10, P1618, DOI 10.1111/j.1365-2486.2004.00828.x
   Arndt CE, 2006, ADV MAR BIOL, V51, P197, DOI 10.1016/S0065-2881(06)51004-1
   Astarloa A, 2019, ICES J MAR SCI, V76, P2247, DOI 10.1093/icesjms/fsz140
   Atkinson A, 2017, EARTH SYST SCI DATA, V9, P193, DOI 10.5194/essd-9-193-2017
   Blowes SA, 2020, J APPL ECOL, V57, P578, DOI 10.1111/1365-2664.13549
   Brierley AS, 2002, ADV MAR BIOL, V43, P171, DOI 10.1016/S0065-2881(02)43005-2
   Brooks CM, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0231361
   Brown JL, 2017, PEERJ, V5, DOI 10.7717/peerj.4095
   Budic L, 2016, ECOL EVOL, V6, P202, DOI 10.1002/ece3.1838
   Caccavo JA, 2021, FRONT ECOL EVOL, V9, DOI 10.3389/fevo.2021.624918
   Caiger PE, 2021, ICES J MAR SCI, V78, P765, DOI 10.1093/icesjms/fsaa247
   Carvalho D, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-16264-6
   CCAMLR, 2020, PROP EST MAR PROT AR
   CCAMLR, 2016, ROSS SEA REG MAR PRO
   CCAMLR, 2020, REV PROP CONS MEAS E
   CCAMLR, 2002, 21 M COMM
   Charlène G, 2020, POLAR BIOL, V43, P1363, DOI 10.1007/s00300-020-02714-2
   Cherel Y, 2010, LIMNOL OCEANOGR, V55, P324, DOI 10.4319/lo.2010.55.1.0324
   Cheung WWL, 2013, NATURE, V497, P365, DOI 10.1038/nature12156
   Clement J, 2022, JSDM JOINT SPECIES D
   Collins MA, 2012, DEEP-SEA RES PT II, V59, P189, DOI 10.1016/j.dsr2.2011.07.003
   Constable AJ, 2014, GLOBAL CHANGE BIOL, V20, P3004, DOI 10.1111/gcb.12623
   Davison P, 2015, DEEP-SEA RES PT II, V112, P129, DOI 10.1016/j.dsr2.2014.10.007
   Dowd S, 2022, ECOL APPL, V32, DOI 10.1002/eap.2578
   Duhamel G, 2000, POLAR BIOL, V23, P106, DOI 10.1007/s003000050015
   Duhamel Guy, 2014, P328
   Eayrs C, 2021, NAT GEOSCI, V14, P460, DOI 10.1038/s41561-021-00768-3
   Ellis N, 2012, ECOLOGY, V93, P156, DOI 10.1890/11-0252.1
   Fabri-Ruiz S, 2020, GLOBAL CHANGE BIOL, V26, P2161, DOI 10.1111/gcb.14988
   Fredston A, 2021, GLOBAL CHANGE BIOL, V27, P3145, DOI 10.1111/gcb.15614
   Freer JJ, 2019, DIVERS DISTRIB, V25, P1259, DOI 10.1111/ddi.12934
   Freer JJ, 2018, MAR BIOL, V165, DOI 10.1007/s00227-017-3239-1
   Gaines SD, 2010, P NATL ACAD SCI USA, V107, P18251, DOI 10.1073/pnas.1002098107
   Gilmour ME, 2022, GLOB ECOL CONSERV, V35, DOI 10.1016/j.gecco.2022.e02070
   Gjerde KM, 2016, AQUAT CONSERV, V26, P45, DOI 10.1002/aqc.2646
   Gjosaeter J., 1980, FAO Fisheries Technical Paper 193, P1, DOI DOI 10.1016/0010-0277(81)90009-3
   Guerra TP, 2021, FISH RES, V234, DOI 10.1016/j.fishres.2020.105815
   Gutt J, 2015, GLOBAL CHANGE BIOL, V21, P1434, DOI 10.1111/gcb.12794
   Hapfelmeier A, 2014, STAT COMPUT, V24, P21, DOI 10.1007/s11222-012-9349-1
   Hindell MA, 2020, NATURE, V580, P87, DOI 10.1038/s41586-020-2126-y
   Irigoien X, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms4271
   Kaartvedt S, 2012, MAR ECOL PROG SER, V456, P1, DOI 10.3354/meps09785
   Koubbi P, 2003, ANTARCTIC BIOLOGY IN A GLOBAL CONTEXT, PROCEEDINGS, P215
   Koubbi P, 2011, DEEP-SEA RES PT II, V58, P170, DOI 10.1016/j.dsr2.2010.09.007
   La Mesa M, 2012, FISH FISH, V13, P241, DOI 10.1111/j.1467-2979.2011.00427.x
   Lancraft TM, 2004, DEEP-SEA RES PT II, V51, P2247, DOI 10.1016/j.dsr2.2004.07.004
   Lenoir S, 2011, GLOBAL CHANGE BIOL, V17, P115, DOI 10.1111/j.1365-2486.2010.02229.x
   Liu SH, 2023, DEEP-SEA RES PT II, V207, DOI 10.1016/j.dsr2.2022.105227
   Liu SH, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00604
   Ljungström G, 2021, NAT CLIM CHANGE, V11, P530, DOI 10.1038/s41558-021-01045-2
   Loots C, 2007, POLAR BIOL, V30, P951, DOI 10.1007/s00300-007-0253-7
   Lourenço S, 2017, POLAR BIOL, V40, P1229, DOI 10.1007/s00300-016-2046-3
   McCormack SA, 2021, ECOL EVOL, V11, P227, DOI 10.1002/ece3.7017
   McCormack SA, 2020, DEEP-SEA RES PT II, V174, DOI 10.1016/j.dsr2.2019.07.001
   Moteki M, 2009, POLAR BIOL, V32, P1461, DOI 10.1007/s00300-009-0643-0
   Murphy EJ, 2007, PHILOS T R SOC B, V362, P113, DOI 10.1098/rstb.2006.1957
   Naimi B, 2016, ECOGRAPHY, V39, P368, DOI 10.1111/ecog.01881
   O'Leary BC, 2016, CONSERV LETT, V9, P398, DOI 10.1111/conl.12247
   O'Regan SM, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.711085
   Ovaskainen O, 2010, ECOLOGY, V91, P2514, DOI 10.1890/10-0173.1
   Peters GP, 2013, NAT CLIM CHANGE, V3, P4, DOI 10.1038/nclimate1783
   Phillips S. B., 2006, International Journal of Global Environmental Issues, V6, P231, DOI 10.1504/IJGENVI.2006.010156
   Pinkerton MH, 2010, DEEP-SEA RES PT I, V57, P469, DOI 10.1016/j.dsr.2009.12.010
   Ran Q, 2022, DEEP-SEA RES PT II, V199, DOI 10.1016/j.dsr2.2022.105077
   Reisinger RR, 2022, BIOL CONSERV, V272, DOI 10.1016/j.biocon.2022.109630
   Roberts CM, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0121
   Roberts CM, 2017, P NATL ACAD SCI USA, V114, P6167, DOI 10.1073/pnas.1701262114
   Saba GK, 2021, LIMNOL OCEANOGR, V66, P1639, DOI 10.1002/lno.11709
   Saunders RA, 2022, POLAR BIOL, V45, P789, DOI 10.1007/s00300-022-03033-4
   Saunders RA, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00530
   Saunders RA, 2015, MAR ECOL PROG SER, V541, P45, DOI 10.3354/meps11527
   Saunders RA, 2015, POLAR BIOL, V38, P287, DOI 10.1007/s00300-014-1584-9
   Shreeve RS, 2009, MAR ECOL PROG SER, V386, P221, DOI 10.3354/meps08064
   Sillero N, 2021, ECOL MODEL, V456, DOI 10.1016/j.ecolmodel.2021.109671
   Syfert MM, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0055158
   Sylvester ZT, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.669508
   Trebilco R, 2019, ECOL INDIC, V107, DOI 10.1016/j.ecolind.2019.105616
   Woods B, 2022, SCI DATA, V9, DOI 10.1038/s41597-022-01496-y
   Woods B, 2020, DEEP-SEA RES PT II, V174, DOI 10.1016/j.dsr2.2019.104657
   Woods BL, 2023, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.981434
   Xavier JC, 2016, ECOSYSTEMS, V19, P220, DOI 10.1007/s10021-015-9926-1
   Yang G, 2021, LIMNOL OCEANOGR, V66, P272, DOI 10.1002/lno.11603
NR 85
TC 6
Z9 7
U1 7
U2 31
PU SPRINGERNATURE
PI LONDON
PA CAMPUS, 4 CRINAN ST, LONDON, N1 9XW, ENGLAND
SN 2096-6490
EI 2662-1746
J9 MAR LIFE SCI TECH
JI Mar. Life Sci. Tech.
PD FEB
PY 2024
VL 6
IS 1
BP 68
EP 83
DI 10.1007/s42995-023-00188-9
EA AUG 2023
PG 16
WC Marine & Freshwater Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Marine & Freshwater Biology
GA A6N0O
UT WOS:001048351400001
PM 38433967
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Aromolaran, A
   Sartaj, M
AF Aromolaran, Adewale
   Sartaj, Majid
TI Microbial Analysis and Methane Assessment of Trinary Anaerobic
   Co-Digestion of Organic Fraction of Municipal Solid Waste
SO BIOENERGY RESEARCH
LA English
DT Article
DE Landfill leachate; Biogas; Sewage scum; Organic fraction of municipal
   solid waste; Microbiome
ID BIOGAS; SLUDGE; GREASE; BIOMETHANE; BMP; OIL
AB Anaerobic co-digestion (ACoD) has been adjudged as an efficient technology to advance the goal of climate change adaptability and carbon neutrality during waste treatment and bioenergy generation. Prior to digestion integration, an evaluation of the compatibility of the waste streams is critical to enhanced bioenergy output. This study examined the methane potential, microbial ecology, and kinetics during the co-digestion of organic fraction of municipal solid waste (OFMSW), sewage scum (SS), and a blended mixture of 1 part of new and 2 parts of mature leachate (LB) through mesophilic biochemical methane potential (BMP) test. Synergistic interaction within the mixtures increased methane yield by up to 92% (486.7 mL/gVS) over the treatment of OFMSW alone (252.3 mL/gVS). Likewise, the methane yield of LB-containing mixtures was enhanced by 16-41.5% over LB treatment alone (344 mL/gVS). Model estimates by modified Gompertz (MG) and logistic function (LF) were conclusive that the mixtures caused the methane production rate to improve by up to 16% from OFMSW alone and by at least 22% from LB alone. Furthermore, microbial analysis of mixtures revealed the proportion of LB in the mixture had a higher influence on the diversity than OFMSW. Even though acetoclastic Methanosaeta was more dominant, methane production was via a dual methanogenic pathway associated with both acetoclastic Methanosaeta and hydrogenotrophic Methanospirillum. Finally, the results obtained provide an insight on ACoD as a sustainable waste management strategy to enhance bioenergy production and reduce emissions through the recirculation of multiple heterogeneous waste streams into economic use.
C1 [Aromolaran, Adewale; Sartaj, Majid] Univ Ottawa, Dept Civil Engn, Ottawa, ON K1N 6N5, Canada.
C3 University of Ottawa
RP Aromolaran, A (corresponding author), Univ Ottawa, Dept Civil Engn, Ottawa, ON K1N 6N5, Canada.
EM aarom047@uottawa.ca
RI Aromolaran, Adewale/ABC-4590-2021
OI Aromolaran, Adewale/0000-0002-0454-5740
CR Abomohra A, 2020, PROG ENERG COMBUST, V81, DOI 10.1016/j.pecs.2020.100868
   Achinas S, 2019, WASTE MANAGE RES, V37, P1240, DOI 10.1177/0734242X19873383
   Akindele AA, 2018, WASTE MANAGE, V71, P757, DOI 10.1016/j.wasman.2017.07.026
   Akyol Ç, 2019, ENVIRON SCI POLLUT R, V26, P13580, DOI 10.1007/s11356-019-04906-8
   Alibardi L, 2015, WASTE MANAGE, V36, P147, DOI 10.1016/j.wasman.2014.11.019
   Anand N., 2022, ANAEROBIC CODIGESTIO, P167, DOI [10.1007/978-3-031-07785-2_8, DOI 10.1007/978-3-031-07785-2_8]
   Anjum M, 2023, INT J MOL SCI, V24, DOI 10.3390/ijms24010763
   Aromolaran A, 2023, BIOMASS CONVERS BIOR, V13, P16049, DOI 10.1007/s13399-021-02152-y
   Aromolaran A, 2023, BIOMASS CONVERS BIOR, V13, P2797, DOI 10.1007/s13399-020-01260-5
   Bakonyi P, 2019, INT J HYDROGEN ENERG, V44, P17278, DOI 10.1016/j.ijhydene.2019.02.028
   Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
   Suárez WAB, 2018, BIORESOURCE TECHNOL, V268, P158, DOI 10.1016/j.biortech.2018.06.091
   Brown AM, 2001, COMPUT METH PROG BIO, V65, P191, DOI 10.1016/S0169-2607(00)00124-3
   Chong J, 2020, NAT PROTOC, V15, P799, DOI 10.1038/s41596-019-0264-1
   CHYNOWETH DP, 1991, APPL BIOCHEM BIOTECH, V28-9, P421, DOI 10.1007/BF02922622
   Clarke EL, 2019, MICROBIOME, V7, DOI 10.1186/s40168-019-0658-x
   Feng L, 2013, BIORESOURCES, V8, P2487
   Gao ZH, 2022, RENEW SUST ENERG REV, V170, DOI 10.1016/j.rser.2022.112995
   Girault R, 2012, BIORESOURCE TECHNOL, V105, P1, DOI 10.1016/j.biortech.2011.11.024
   Grosser A, 2018, ENERGY, V143, P488, DOI 10.1016/j.energy.2017.11.010
   Holliger C, 2016, WATER SCI TECHNOL, V74, P2515, DOI 10.2166/wst.2016.336
   Jayanth TAS, 2020, SCI TOTAL ENVIRON, V748, DOI 10.1016/j.scitotenv.2020.142462
   Volschan I, 2021, J WATER PROCESS ENG, V40, DOI 10.1016/j.jwpe.2020.101857
   Kumar A, 2020, ENERGY, V197, DOI 10.1016/j.energy.2020.117253
   Kundu K, 2017, BIOENERG RES, V10, P288, DOI 10.1007/s12155-016-9789-0
   Kurade MB, 2019, BIORESOURCE TECHNOL, V272, P351, DOI 10.1016/j.biortech.2018.10.047
   Lambie SC, 2015, STAND GENOMIC SCI, V10, DOI 10.1186/s40793-015-0038-5
   Leiva MB, 2014, WASTE MANAGE, V34, P1860, DOI 10.1016/j.wasman.2014.06.027
   Li L, 2014, BIORESOURCE TECHNOL, V171, P491, DOI 10.1016/j.biortech.2014.08.089
   Long JH, 2012, PROCESS SAF ENVIRON, V90, P231, DOI [10.1016/j.psep.2011.10.001, 10.1016/j.psep.2012.04.002]
   Lv YY, 2021, RESOUR CONSERV RECY, V174, DOI 10.1016/j.resconrec.2021.105832
   Martin M., 2011, EMBnetJ, V17, P10, DOI DOI 10.14806/EJ.17.1.200
   Nair A, 2014, WASTE MANAGE RES, V32, P939, DOI 10.1177/0734242X14546036
   Negro V, 2023, WASTE BIOMASS VALORI, V14, P2461, DOI 10.1007/s12649-022-01875-x
   Nielfa A, 2015, Biotechnol Rep (Amst), V5, P14, DOI 10.1016/j.btre.2014.10.005
   Pelletier E, 2008, J BACTERIOL, V190, P2572, DOI 10.1128/JB.01248-07
   Rice EW, 2012, Standard methods for the examination of water and wastewater, V10
   Salama E, 2019, PROG ENERG COMBUST, V70, P22, DOI 10.1016/j.pecs.2018.08.002
   Shen YW, 2015, APPL ENERG, V158, P300, DOI 10.1016/j.apenergy.2015.08.016
   Solli L, 2014, BIOTECHNOL BIOFUELS, V14, DOI 10.1186/s13068-014-0146-2
   Sun YJ, 2011, WASTE MANAGE, V31, P1202, DOI 10.1016/j.wasman.2011.01.022
   Tyagi VK, 2018, RENEW SUST ENERG REV, V93, P380, DOI 10.1016/j.rser.2018.05.051
   Wang BH, 2021, SCI TOTAL ENVIRON, V765, DOI 10.1016/j.scitotenv.2020.144632
   Zhang WL, 2015, CHEM ENG J, V259, P795, DOI 10.1016/j.cej.2014.08.039
   Zhao RX, 2021, SCI TOTAL ENVIRON, V767, DOI 10.1016/j.scitotenv.2020.144861
NR 45
TC 2
Z9 2
U1 1
U2 9
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1939-1234
EI 1939-1242
J9 BIOENERG RES
JI BioEnergy Res.
PD JUN
PY 2024
VL 17
IS 2
BP 1250
EP 1262
DI 10.1007/s12155-023-10623-5
EA JUN 2023
PG 13
WC Energy & Fuels; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Energy & Fuels; Environmental Sciences & Ecology
GA RJ8W6
UT WOS:001010691300001
DA 2025-01-10
ER

PT J
AU Sebastiani, A
   Fares, S
AF Sebastiani, Alessandro
   Fares, Silvano
TI Spatial Prioritization of Ecosystem Services for Land Conservation: The
   Case Study of Central Italy
SO FORESTS
LA English
DT Article
DE protected areas; regulating ecosystem services; spatial analysis; land
   conservation
ID PROTECTED AREAS; TRADE-OFFS; CENTRAL APENNINES; IMPACT; LANDSCAPE;
   SYNERGIES; BUNDLES; MODEL
AB Ecosystem services delivered by natural ecosystems are increasingly important for climate change adaptation and mitigation and play a huge role in biodiversity conservation. For this reason, the EU has the ambitious goal of protecting at least 30% of land by 2030. Member states are called to improve and expand the network of protected areas within the next few years; to do so, scientific studies aimed at identifying areas with high ecological value, as well as at defining best management practices, are highly needed. In this study, we used the InVEST suite of models to spatially assess three regulating ecosystem services, that is, carbon storage, seasonal water yield, and urban flood risk mitigation in three administrative regions of central Italy. Using overlay analysis, we found areas with the highest delivery in each of the considered ESs; based on these findings, we eventually proposed four new protected areas, which combine for 888 km(2), that is, 2.73% of the study area. Interestingly, each of the newly proposed protected areas has somehow been discussed and hypothesized by stakeholders, but only one is presumably going to be part of the national network of protected areas within the next years. Hopefully, by prioritizing areas according to the production of ecosystem services, this study can be intended as a step towards the systematic inclusion of ecosystem services studies for enhancing the network of areas under national protection schemes and achieving the goal of protecting at least 30% of land in Europe by 2030.
C1 [Sebastiani, Alessandro] Council Agr Res & Econ CREA, Res Ctr Forestry & Wood FL, I-00166 Rome, Italy.
   [Fares, Silvano] Natl Res Council Italy, Inst BioEcon, Via Taurini 19, I-00185 Rome, Italy.
   [Fares, Silvano] Natl Res Council Italy, Inst Agr & Forestry Syst Mediterranean, Ple Enr Fermi 1-Loc, I-80055 Portici, Italy.
C3 Consiglio per la Ricerca in Agricoltura e L'analisi Dell'economia
   Agraria (CREA); Consiglio Nazionale delle Ricerche (CNR); Istituto per
   la BioEconomia (IBE-CNR); Consiglio Nazionale delle Ricerche (CNR);
   Istituto per i Sistemi Agricoli e Forestali del Mediterraneo
   (ISAFoM-CNR)
RP Sebastiani, A (corresponding author), Council Agr Res & Econ CREA, Res Ctr Forestry & Wood FL, I-00166 Rome, Italy.
EM alessandro.sebastiani@crea.gov.it
RI Fares, Silvano/H-4322-2011; SEBASTIANI, Alessandro/AAC-1725-2021
OI Fares, Silvano/0000-0002-1990-0928; SEBASTIANI,
   Alessandro/0000-0003-4877-3769
FU Regione Lazio [36388]
FX Regione Lazio: project n. 36388 TECNOVERDE: "Tecnologie geomatiche e
   ambientali di precisione per il monitoraggio e la valorizzazione dei
   servizi ecosistemici delle infra-strutture verdi urbane e peri-urbane";
   2021 @CNR project BIOCITY "Riforestazione urbana: nuovi strumenti
   conoscitivi e di supporto decisionale"; PRIN2020-MULTIFOR"Multi-scale
   observations to predict Forest response to pollution and climate
   change"; CIR01_00019-PRO-ICOS_MED Potenziamento della Rete di
   Osservazione ICOS-Italia nel Mediterraneo-Rafforzamento del capitale
   umano" funded by the Ministry of Research.
CR [Anonymous], 2005, Stato della biodiversita in Italia. Contributo alla strategia nazionale per la biodiversita
   Bangash RF, 2013, SCI TOTAL ENVIRON, V458, P246, DOI 10.1016/j.scitotenv.2013.04.025
   Beckmann-Wubbelt A, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103240
   Benra F, 2021, ENVIRON MODELL SOFTW, V138, DOI 10.1016/j.envsoft.2021.104982
   Blasi C, 2018, PLANT BIOSYST, V152, P1201, DOI 10.1080/11263504.2018.1492996
   Bologna M.A., 1992, Hystrix, V4, P75
   Cancellieri L, 2020, TUEXENIA, P547, DOI 10.14471/2020.40.019
   Cellamare C, 2001, OPTIONS M DITERRAN E
   Ciucci P, 2017, HYSTRIX, V28, P86, DOI 10.4404/hystrix-28.1-12049
   Comitato per il Capitale Naturale, 2021, 4 RAPP STAT CAP NAT
   Cong WC, 2020, ECOL INDIC, V112, DOI 10.1016/j.ecolind.2020.106089
   Conte A, 2022, FORESTS, V13, DOI 10.3390/f13050689
   Conti F, 2019, PHYTOTAXA, V412, P1, DOI 10.11646/phytotaxa.412.1.1
   EC (European Commission), 2017, About us
   European Commission, 2020, Farm to Fork Strategy-For a fair, healthy and environmentally-friendly food system, P23
   Fares S, 2020, ENVIRON SCI TECHNOL, V54, P14910, DOI 10.1021/acs.est.0c04740
   Fares S, 2017, FUTURE CITY, V7, P31, DOI 10.1007/978-3-319-50280-9_4
   Fattorini L, 2006, J AGR BIOL ENVIR ST, V11, P296, DOI 10.1198/108571106X130548
   Filibeck G., 2018, B EURASIAN DRY GRASS, V36, P25, DOI [10.21570/EDGG.Bull.36.25-41, DOI 10.21570/EDGG.BULL.36.25-41]
   Frassinet M., 2009, ASS STUDI ORNITOLOGI
   Fusaro L, 2017, REMOTE SENS-BASEL, V9, DOI 10.3390/rs9080791
   Gasparini P., 2011, L'Inventario Nazionale delle Foreste e dei Serbatoi Forestali di Carbonio-INFC-2005. Secondo inventario forestale nazionale italiano
   Hummel C, 2019, SCI TOTAL ENVIRON, V651, P2432, DOI 10.1016/j.scitotenv.2018.10.033
   Italian Ministry of the Ecological Transition, 2022, PNRR MITE VIA PROG 3
   Jones N, 2020, ENVIRON SCI POLICY, V112, P134, DOI 10.1016/j.envsci.2020.06.004
   Jopke C, 2015, ECOL INDIC, V49, P46, DOI 10.1016/j.ecolind.2014.09.037
   Kermagoret C, 2019, OCEAN COAST MANAGE, V174, P144, DOI 10.1016/j.ocecoaman.2019.03.028
   Lausi L, 2022, ANN BOT-COENOL PLANT, V12, P63, DOI 10.13133/2239-3129/17681
   Lee H, 2016, ECOL INDIC, V66, P340, DOI 10.1016/j.ecolind.2016.02.004
   Legambiente, 2021, LEGG QUADR AR NAT PR
   Li CY, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11051312
   Liu YX, 2019, J ENVIRON MANAGE, V249, DOI 10.1016/j.jenvman.2019.109315
   Mancinelli S, 2018, CAN J ZOOL, V96, P828, DOI 10.1139/cjz-2017-0210
   Manes F, 2016, ECOL INDIC, V67, P425, DOI 10.1016/j.ecolind.2016.03.009
   Marando F, 2019, ECOL MODEL, V392, P92, DOI 10.1016/j.ecolmodel.2018.11.011
   Melillo JM, 2016, AMBIO, V45, P133, DOI 10.1007/s13280-015-0693-1
   Miller-Rushing AJ, 2017, BIOL CONSERV, V210, P101, DOI 10.1016/j.biocon.2016.05.022
   Ministero dell'Ambiente della Tutela del Territorio del Mare, 2010, STRAT NAZ BIOD
   Ministry of Culture, 2022, CERT TRIS
   Mokondoko P, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0192560
   Muradian R, 2013, CONSERV LETT, V6, P274, DOI 10.1111/j.1755-263X.2012.00309.x
   Ovando P, 2019, WATER RESOUR ECON, V28, DOI 10.1016/j.wre.2018.04.002
   PIGNATTI S, 1993, LANDSCAPE URBAN PLAN, V24, P49, DOI 10.1016/0169-2046(93)90082-O
   Pinheiro RO, 2021, ECOSYST SERV, V50, DOI 10.1016/j.ecoser.2021.101340
   Qiu JX, 2013, P NATL ACAD SCI USA, V110, P12149, DOI 10.1073/pnas.1310539110
   Redhead JW, 2016, SCI TOTAL ENVIRON, V569, P1418, DOI 10.1016/j.scitotenv.2016.06.227
   Redhead JW, 2018, SCI TOTAL ENVIRON, V610, P666, DOI 10.1016/j.scitotenv.2017.08.092
   Saidi N, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aae5e0
   Sallustio L, 2015, ENVIRON IMPACT ASSES, V54, P80, DOI 10.1016/j.eiar.2015.05.006
   Schulp CJE, 2011, REMOTE SENS-BASEL, V3, P2057, DOI 10.3390/rs3092057
   Scordo F, 2018, WATER-SUI, V10, DOI 10.3390/w10111496
   Sebastiani A, 2021, URBAN FOR URBAN GREE, V57, DOI 10.1016/j.ufug.2020.126938
   Sharp, 2020, INVEST USERS GUIDE
   Spanò M, 2017, ENVIRON SCI POLICY, V73, P52, DOI 10.1016/j.envsci.2017.04.008
   Tallis M, 2011, LANDSCAPE URBAN PLAN, V103, P129, DOI 10.1016/j.landurbplan.2011.07.003
   TAYLOR R, 1990, J DIAGN MED SONOG, V6, P35, DOI 10.1177/875647939000600106
   Turkelboom F, 2018, ECOSYST SERV, V29, P566, DOI 10.1016/j.ecoser.2017.10.011
   Turner KG, 2014, LANDSCAPE URBAN PLAN, V125, P89, DOI 10.1016/j.landurbplan.2014.02.007
   van Meerveld HJ, 2021, J APPL ECOL, V58, P755, DOI 10.1111/1365-2664.13836
   WWF, 2021, TRENT LEGG QUADR AR
   Yang YY, 2019, J CLEAN PROD, V225, P11, DOI 10.1016/j.jclepro.2019.03.242
   Zhao XX, 2019, ENERG SOURCE PART A, V41, P1029, DOI 10.1080/15567036.2018.1539136
   Zheng H, 2019, J ENVIRON SCI, V82, P103, DOI 10.1016/j.jes.2019.02.030
NR 63
TC 12
Z9 13
U1 2
U2 43
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1999-4907
J9 FORESTS
JI Forests
PD JAN
PY 2023
VL 14
IS 1
AR 145
DI 10.3390/f14010145
PG 12
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA 8C5TB
UT WOS:000917669600001
OA gold
DA 2025-01-10
ER

PT J
AU Krassakis, P
   Karavias, A
   Nomikou, P
   Karantzalos, K
   Koukouzas, N
   Kazana, S
   Parcharidis, I
AF Krassakis, Pavlos
   Karavias, Andreas
   Nomikou, Paraskevi
   Karantzalos, Konstantinos
   Koukouzas, Nikolaos
   Kazana, Stavroula
   Parcharidis, Issaak
TI Geospatial Intelligence and Machine Learning Technique for Urban Mapping
   in Coastal Regions of South Aegean Volcanic Arc Islands
SO GEOMATICS
LA English
DT Article
DE GEOINT; SAVA; random forest; coastal zone; machine learning
ID WATER INDEX NDWI; LANDSAT 8 OLI; SATELLITE IMAGERY; RANDOM FOREST;
   BATHYMETRY; COEFFICIENT; AGREEMENT; ACCURACY; DEPTH
AB Coastal environments are globally recognized for their spectacular morphological characteristics as well as economic opportunities, such as fisheries and tourism industries. However, climate change, growth in tourism, and constant coastal urban sprawl in some places result in ever-increasing risk in the islands of the South Aegean Volcanic Arc (SAVA), necessitating thoughtful planning and decision making. GEOspatial INTelligence (GEOINT) can play a crucial role in the depiction and analysis of the natural and human surroundings, offering valuable information regarding the identification of vulnerable areas and the forecasting of urbanization rates. This work focuses on the delineation of the coastal zone boundaries, semi-automatization of Satellite-Derived Bathymetry (SDB), and urban mapping using a machine learning algorithm. The developed methodology has been implemented on the islands of Thira (Santorini island complex) and Milos. This study attempts to identify inaccuracies in existing open-source datasets, such as the European Settlement Map (ESM), as a result of the unique combination of the architectural style and bare-soil characteristics of the study areas. During the period 2016-2021, the average accuracy of the developed methodology for urban mapping in terms of the kappa index was 80.15% on Thira and 88.35% on Milos. The results showed that the average urbanization expansion on specified settlements was greater than 22% for both case studies. Ultimately, the findings of this study could contribute to the effective and holistic management of similar coastal regions in the context of climate change adaptation, mitigation strategies, and multi-hazard assessment.
C1 [Krassakis, Pavlos; Parcharidis, Issaak] Harokopio Univ Athens, Dept Geog, El Venizelou 70, Athens 17671, Greece.
   [Krassakis, Pavlos; Karavias, Andreas; Koukouzas, Nikolaos] Ctr Res & Technol Hellas CERTH, Athens 15125, Greece.
   [Nomikou, Paraskevi; Kazana, Stavroula] Natl & Kapodistrian Univ Athens, Dept Geol & Geoenvironm, Athens 15784, Greece.
   [Karantzalos, Konstantinos] Natl Tech Univ Athens, Sch Rural & Surveying Engn, Dept Topog, Zografou Campus,9 Heroon Polytech Str, Athens 15780, Greece.
C3 Centre for Research & Technology Hellas; National & Kapodistrian
   University of Athens; National Technical University of Athens
RP Krassakis, P (corresponding author), Harokopio Univ Athens, Dept Geog, El Venizelou 70, Athens 17671, Greece.; Krassakis, P (corresponding author), Ctr Res & Technol Hellas CERTH, Athens 15125, Greece.
EM krassakis@certh.gr
RI Karantzalos, Konstantinos/ABF-4614-2021; Krassakis, Pavlos/AAH-7630-2021
OI Nomikou, Paraskevi/0000-0001-8842-9730; Krassakis,
   Pavlos/0000-0002-5002-6802; Karantzalos,
   Konstantinos/0000-0001-8730-6245
FX Maps and diagrams throughout this work were created using
   ArcGIS<SUP>(R)</SUP> software by Esri. ArcGIS<SUP>(R)</SUP> and ArcMap
   (TM) are the intellectual property of Esri and are used herein under
   license. Copyright (c) Esri. All rights reserved. For more information
   about Esri<SUP>(R)</SUP> software, please visit
   <URI>https://www.esri.com/en-us/home</URI> (accessed on 3 August 2022).
   Many thanks are also given to the colleagues from CERTH Evangelia
   Zygouri and Kleomenis Kalogeropoulos from ELSTAT, for their
   participation in the editing and data information. The authors are
   grateful to the European Space Agency and the National Aeronautics and
   Space Administration, who provided Sentinel-2 and SRTM data accordingly.
   The authors would also like to thank the reviewers for providing useful
   suggestions that enhance the manuscript's quality.
CR Aedla R, 2015, AQUAT PR, V4, P563, DOI 10.1016/j.aqpro.2015.02.073
   Agarwal A, 2022, PR MACH LEARN RES, P111
   Alexandrakis G., 2010, Encyclopedia of Life Support Systems (EOLSS), Developed under the Auspices of the UNESCO
   [Anonymous], Earth Explorer
   [Anonymous], 2021, International Tourism Highlights: 2020 Edition, DOI DOI 10.18111/9789284422456
   ASD(C3I). U.S. DoD, 2003, Directive 50.30.59. Imagery or Geospatial Information and Data
   Bacastow T., 2009, American Intelligence Journal, V27, P38
   Banzhaf E, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13091744
   Belgiu M, 2016, ISPRS J PHOTOGRAMM, V114, P24, DOI 10.1016/j.isprsjprs.2016.01.011
   Bhatti SS, 2014, GISCI REMOTE SENS, V51, P445, DOI 10.1080/15481603.2014.939539
   Bramhe VS, 2020, GEOCARTO INT, V35, P1067, DOI 10.1080/10106049.2019.1566406
   Breiman L, 2001, MACH LEARN, V45, P5, DOI 10.1023/A:1010933404324
   Breiman L., 2001, Machine Learning, V45, P5, DOI 10.1023/A:1010933404324
   Caballero I, 2019, ESTUAR COAST SHELF S, V226, DOI 10.1016/j.ecss.2019.106277
   Cánovas-García F, 2017, COMPUT GEOSCI-UK, V103, P1, DOI 10.1016/j.cageo.2017.02.012
   CLC, 2018, COPERNICUS LAND MONI
   Congalton R.G., 2019, Assessing the Accuracy of Remotely Sensed Data: Principles and Practices
   CONGALTON RG, 1983, PHOTOGRAMM ENG REM S, V49, P69
   CONGALTON RG, 1991, REMOTE SENS ENVIRON, V37, P35, DOI 10.1016/0034-4257(91)90048-B
   Corbane C, 2020, IEEE GEOSCI REMOTE S, V17, P1153, DOI 10.1109/LGRS.2019.2942131
   Dao PD, 2015, REMOTE SENS-BASEL, V7, P5077, DOI 10.3390/rs70505077
   European Settlement Map, Copernicus Land Monitoring Service
   Evagorou E, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14030772
   Fytikas M., 1976, Ph.D. Thesis, DOI [10.2172/5149399, DOI 10.2172/5149399]
   Galassi G, 2014, GLOBAL PLANET CHANGE, V123, P55, DOI 10.1016/j.gloplacha.2014.10.007
   Hamylton SM, 2015, REMOTE SENS-BASEL, V7, P16257, DOI 10.3390/rs71215829
   HANSON H, 1993, AMBIO, V22, P188
   Hashem Nadeem, 2015, Annals of GIS, V21, P233, DOI 10.1080/19475683.2014.992369
   Hellenic Ministry of Environment Physical Planning and Public Works, National Report of Greece on Coastal Zone Management in the context of the Recommendation on Integrated Coastal Zone Management 2009
   HUDSON WD, 1987, PHOTOGRAMM ENG REM S, V53, P421
   Iban MC, 2022, ECOL INFORM, V69, DOI 10.1016/j.ecoinf.2022.101647
   International Hydrographic Organization Intergovernmental Oceanographic Commission (IHO-IOC), 2018, The IHO-IOC GEBCO Cook Book, DOI [10.25607/OBP-709, DOI 10.25607/OBP-709]
   Jensen J.R., 2014, Remote Sensing of the Environment an Earth Perspective, VSecond
   Kadavi PR, 2018, GEOSCI J, V22, P652, DOI 10.1007/s12303-018-0023-2
   Kamal N, 2022, J HYDROINFORM, V24, P464, DOI 10.2166/hydro.2022.154
   Karymbalis E., 2010, Coastal Geomorphology
   LANDIS JR, 1977, BIOMETRICS, V33, P159, DOI 10.2307/2529310
   Lary DJ, 2018, ISSI SCI REP SER, V15, P165, DOI 10.1007/978-3-319-65633-5_8
   Lillesand T., 2015, Remote Sensing and iMage iNterpretation, V7th ed., P578
   Liou YIA, 2017, ECOL INDIC, V80, P52, DOI 10.1016/j.ecolind.2017.04.055
   Lira CP, 2016, EARTH SYST SCI DATA, V8, P265, DOI 10.5194/essd-8-265-2016
   Liu L, 2017, COMPUT ENVIRON URBAN, V65, P113, DOI 10.1016/j.compenvurbsys.2017.06.003
   Louis J., 2016, P LIV PLAN S 2016 PR, P1
   Ma XL, 2017, REMOTE SENS-BASEL, V9, DOI 10.3390/rs9030236
   Malinowski R, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12213523
   Marcos M., 2016, The Mediterranean Region under Climate Change: A Scientific Update, P265, DOI DOI 10.4000/BOOKS.IRDEDITIONS.23454
   McFeeters SK, 1996, INT J REMOTE SENS, V17, P1425, DOI 10.1080/01431169608948714
   McFeeters SK, 2013, REMOTE SENS-BASEL, V5, P3544, DOI 10.3390/rs5073544
   McHugh ML, 2012, BIOCHEM MEDICA, V22, P276, DOI 10.11613/bm.2012.031
   Misra S., 2019, Machine Learning for Subsurface Characterization, P243, DOI [10.1016/B978-0-12-817736-5.00009-0, DOI 10.1016/B978-0-12-817736-5.00009-0]
   Moore LJ, 2000, J COASTAL RES, V16, P111
   Mousivand A, 2015, REMOTE SENS-BASEL, V7, P8019, DOI 10.3390/rs70608019
   Muzirafuti A, 2020, J MAR SCI ENG, V8, DOI 10.3390/jmse8020126
   NOAA, 2012, ABOUT US
   Nomikou P., The Hellenic Volcanic Arc: Santorini and other volcanoes
   Nomikou P, 2010, P SPEC, V99, P557
   Nomikou P, 2013, TECTONOPHYSICS, V597, P123, DOI 10.1016/j.tecto.2012.10.001
   OECD, Socio Economic Trends, Growth Potential and Opportunities
   OpenStreetMap, About us
   Pacheco A, 2015, REMOTE SENS ENVIRON, V159, P102, DOI 10.1016/j.rse.2014.12.004
   Pal M, 2005, INT J REMOTE SENS, V26, P217, DOI 10.1080/01431160412331269698
   Papanikolaou D, 1993, B GEOL SOC GREECE, V28, P33
   Pesaresi M, 2016, REMOTE SENS-BASEL, V8, DOI 10.3390/rs8040299
   Petrakis S., 2014, P COAST LANDSC MIN A
   Polcyn F.C., 1969, Spacecr. Ocean. Proj, P1
   Pope A, 2016, CRYOSPHERE, V10, P15, DOI 10.5194/tc-10-15-2016
   ROSENFIELD GH, 1986, PHOTOGRAMM ENG REM S, V52, P223
   Satta A., 2015, Strengthening the Knowledge Base on Regional Climate Variability and Change: Application of a Multi-Scale Coastal Risk Index at Regional and Local Scale in the Mediterranean
   Schratz P, 2019, ECOL MODEL, V406, P109, DOI 10.1016/j.ecolmodel.2019.06.002
   Statista Search Department, ABOUT US
   STORY M, 1986, PHOTOGRAMM ENG REM S, V52, P397
   Stumpf RP, 2003, LIMNOL OCEANOGR, V48, P547, DOI 10.4319/lo.2003.48.1_part_2.0547
   Sun L, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12010091
   Townshend JR, 2012, INT J DIGIT EARTH, V5, P373, DOI 10.1080/17538947.2012.713190
   TRAINEAU H, 1989, CR ACAD SCI II, V308, P247
   Union E., 2009, DIR 2009 28 EC EUR P, V5, P2009, DOI DOI 10.3000/17252555.L_2009.140.ENG
   USGS, EROS Archive Digital Elevation Shuttle Radar Topography Mission (SRTM) 1 Arc-Second Global
   Vousdoukas MI, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15665-3
   Wang L, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10030473
   Wolff C, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-70928-9
   Zhang TX, 2021, APPL SCI-BASEL, V11, DOI 10.3390/app11020543
   Zhou XL, 2022, GEOCHEM GEOPHY GEOSY, V23, DOI 10.1029/2021GC009839
   Zhou Y, 2018, ISPRS INT J GEO-INF, V7, DOI 10.3390/ijgi7040135
NR 83
TC 3
Z9 3
U1 2
U2 2
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2673-7418
J9 GEOMATICS-BASEL
JI Geomatics
PD SEP
PY 2022
VL 2
IS 3
BP 297
EP 322
DI 10.3390/geomatics2030017
PG 26
WC Geography, Physical; Remote Sensing
WE Emerging Sources Citation Index (ESCI)
SC Physical Geography; Remote Sensing
GA WI4U6
UT WOS:001254235700001
OA gold
DA 2025-01-10
ER

PT J
AU Begum, M
   Masud, MM
   Alam, L
   Bin Mokhtar, M
   Amir, AA
AF Begum, Mahfuza
   Masud, Muhammad Mehedi
   Alam, Lubna
   Bin Mokhtar, Mazlin
   Amir, Ahmad Aldrie
TI The impact of climate variables on marine fish production: an empirical
   evidence from Bangladesh based on autoregressive distributed lag (ARDL)
   approach
SO ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
LA English
DT Article
DE Climate variables; Marine fish production; ARDL; Bangladesh
ID EARLY-LIFE-HISTORY; SOUTH-WEST COAST; OCEAN ACIDIFICATION;
   CARBON-DIOXIDE; PELAGIC FISH; GLOBAL OCEAN; FISHERIES; LANDINGS;
   TEMPERATURE; CO2
AB Several studies have highlighted the significant impact of climate change on agriculture. However, there have been little empirical enquiries into the impact of climate change on marine fish production, particularly in Bangladesh. Hence, this study aims to investigate the impact of climate change on marine fish production in Bangladesh using data from 1961 to 2019. Data were obtained from the Food and Agriculture Organization, Bangladesh Meteorological Department, the World Development Indicators, and the National Oceanic and Atmospheric Administration. The autoregressive distributed lag (ARDL) model was used to describe the dynamic link between CO2 emissions, average temperature, Sea Surface Temperature (SST), rainfall, sunshine, wind and marine fish production. The ARDL approach to cointegration revealed that SST (beta = 0.258), rainfall (beta =0.297), and sunshine (beta =0.663) significantly influence marine fish production at 1% and 10% levels in the short run and at 1% level in the long run. The results also found that average temperature has a significant negative impact on fish production in both short and long runs. On the other hand, CO2 emissions have a negative impact on marine fish production in the short run. Specifically, for every 1% rise in CO2 emissions, marine fish production will decline by 0.11%. The findings of this study suggest that policymakers formulate better policy frameworks for climate change adaptation and sustainable management of marine fisheries at the national level. Research and development in Bangladesh's fisheries sector should also focus on marine fish species that can resist high sea surface temperatures, CO2 emissions, and average temperatures.
C1 [Begum, Mahfuza; Alam, Lubna; Bin Mokhtar, Mazlin; Amir, Ahmad Aldrie] Natl Univ Malaysia, Inst Environm & Dev LESTARI, Bangi, Selangor, Malaysia.
   [Masud, Muhammad Mehedi] Univ Malaya, Fac Business & Econ, Dept Dev Studies, Kuala Lumpur 50603, Malaysia.
C3 Universiti Kebangsaan Malaysia; Universiti Malaya
RP Alam, L (corresponding author), Natl Univ Malaysia, Inst Environm & Dev LESTARI, Bangi, Selangor, Malaysia.
EM mehedi@um.edu.my; lubna@ukm.edu.my
RI Mokhtar, Mazlin/ABC-1176-2021; Amir, A. Aldrie/ADJ-7443-2022; Masud,
   Muhammad Mehedi/Q-6565-2016; Alam, Lubna/AAC-3492-2020
OI Alam, Lubna/0000-0002-0910-2391
FU Ministry of Higher Education of Malaysia [TRGS/1/2015/UKM/02/5/2];
   Bangabandhu Science and Technology Fellowship Trust, Ministry of Science
   and Technology, Government of the People's Republic of Bangladesh
FX This article is part of a PhD study, funded by the Bangabandhu Science
   and Technology Fellowship Trust, Ministry of Science and Technology,
   Government of the People's Republic of Bangladesh. This research has
   been funded by the Ministry of Higher Education of Malaysia through the
   research project, code TRGS/1/2015/UKM/02/5/2.
CR Abbas S, 2020, ENVIRON SCI POLLUT R, V27, P29580, DOI 10.1007/s11356-020-09222-0
   Adom PK, 2012, ENERG POLICY, V42, P530, DOI 10.1016/j.enpol.2011.12.019
   Alexander LV, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006290
   Alnafissa M, 2021, J KING SAUD UNIV SCI, V33, DOI 10.1016/j.jksus.2021.101458
   Asumadu-Sarkodie S, 2016, ENVIRON SCI POLLUT R, V23, P10968, DOI 10.1007/s11356-016-6252-x
   Atindana SA., 2019, AAS OPEN RES, V2, P16, DOI [10.12688/aasopenres.12956.1, DOI 10.12688/AASOPENRES.12956.1]
   Ayub Z., 2010, J TRANSDISCIP ENV ST, V9, P1
   Bakun A, 2004, ECOL LETT, V7, P1015, DOI 10.1111/j.1461-0248.2004.00665.x
   Bangladesh Meteorological Department (BMD), 2021, MET DAT
   Santos MB, 2012, ICES J MAR SCI, V69, P739, DOI 10.1093/icesjms/fsr186
   Blanchard JL, 2012, PHILOS T R SOC B, V367, P2979, DOI 10.1098/rstb.2012.0231
   Brierley AS, 2009, CURR BIOL, V19, pR602, DOI 10.1016/j.cub.2009.05.046
   BROWN RL, 1975, J ROY STAT SOC B MET, V37, P149
   Caesar J, 2015, ENVIRON SCI-PROC IMP, V17, P1047, DOI [10.1039/c4em00650j, 10.1039/C4EM00650J]
   Chandio AA, 2022, INT J CLIM CHANG STR, V14, P125, DOI 10.1108/IJCCSM-10-2020-0111
   Chandio AA, 2020, INT J CLIM CHANG STR, V12, P201, DOI 10.1108/IJCCSM-05-2019-0026
   Chandio AA, 2020, ENVIRON SCI POLLUT R, V27, P11944, DOI 10.1007/s11356-020-07739-y
   Chandio AA, 2020, ENVIRON SCI POLLUT R, V27, P7812, DOI 10.1007/s11356-019-07486-9
   Cheung WWL, 2013, NAT CLIM CHANGE, V3, P254, DOI 10.1038/NCLIMATE1691
   Cheung WWL, 2010, GLOBAL CHANGE BIOL, V16, P24, DOI 10.1111/j.1365-2486.2009.01995.x
   Cheung WWL, 2009, FISH FISH, V10, P235, DOI 10.1111/j.1467-2979.2008.00315.x
   Chowdhury I. U. A., 2015, Russian Journal of Agricultural and Socio-Economic Sciences, V4, P12
   Clarke TM, 2021, DIVERS DISTRIB, V27, P65, DOI 10.1111/ddi.13181
   CURY P, 1989, CAN J FISH AQUAT SCI, V46, P670, DOI 10.1139/f89-086
   DoF, 2021, YB FISH STAT BANGL 2, V37, P128
   Doney SC, 2009, ANNU REV MAR SCI, V1, P169, DOI 10.1146/annurev.marine.010908.163834
   Dumrul Y., 2017, Journal of Business Economics and Finance, V6, P336, DOI [https://doi.org/10.17261/Pressacademia.2017.766, DOI 10.17261/PRESSACADEMIA.2017.766]
   ENGLE RF, 1982, ECONOMETRICA, V50, P987, DOI 10.2307/1912773
   Esaias W.E., 1996, Algorithm theoretical basis document for MODIS product MOD-27 ocean primary productivity
   Fabry VJ, 2008, ICES J MAR SCI, V65, P414, DOI 10.1093/icesjms/fsn048
   Feely RA, 2004, SCIENCE, V305, P362, DOI 10.1126/science.1097329
   Fernandes JA, 2020, GLOBAL CHANGE BIOL, V26, P3891, DOI 10.1111/gcb.15081
   Fernandes JA, 2016, ICES J MAR SCI, V73, P1357, DOI 10.1093/icesjms/fsv217
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   FishStat J, FISHERY STAT
   Free CM, 2019, SCIENCE, V363, P979, DOI 10.1126/science.aau1758
   Frommel AY, 2014, ECOL APPL, V24, P1131, DOI 10.1890/13-0297.1
   Gamito R, 2013, REG ENVIRON CHANGE, V13, P413, DOI 10.1007/s10113-012-0358-6
   Germanwatch, 2020, Global climate risk index 2020. Germanwatch e.V. 2020
   Globalcarbonatlas, 2022, CO2 COUNTR EM
   Harrould-Kolieb ER, 2012, CLIM POLICY, V12, P378, DOI 10.1080/14693062.2012.620788
   Heuer RM, 2014, AM J PHYSIOL-REG I, V307, pR1061, DOI 10.1152/ajpregu.00064.2014
   Ho CH, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8030273
   Ho DJ., 2013, J TROP BIOL CONSERV, V10, P11
   Hossain MS, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-62616-5
   Hossain MS, 2014, CLIMATE, V2, P28, DOI 10.3390/cli2020028
   Hossain MS, 2019, INT J CLIM CHANG STR, V11, P424, DOI 10.1108/IJCCSM-04-2018-0030
   Hussain MG, 2010, SUSTAINABLE MANAGEME, P53
   Islam MM, 2020, INT J ECOL DEV, V35, P44
   Jafar-Sidik Madihah, 2010, American Journal of Environmental Sciences, V6, P177, DOI 10.3844/ajessp.2010.177.183
   Jennings S, 2008, P ROY SOC B-BIOL SCI, V275, P1375, DOI 10.1098/rspb.2008.0192
   Katikiro RE, 2012, J ENVIRON SCI MANAG, V15, P83
   Kay S, 2015, ENVIRON SCI-PROC IMP, V17, P1311, DOI 10.1039/c4em00683f
   Kay S, 2018, ECOSYSTEM SERVICES W, P1, DOI [10.1007/978-3-319-71093-8, DOI 10.1007/978-3-319-71093-8]
   Lam VWY, 2012, AFR J MAR SCI, V34, P103, DOI 10.2989/1814232X.2012.673294
   Lam VWY, 2016, SCI REP-UK, V6, DOI 10.1038/srep32607
   Last PR, 2011, GLOBAL ECOL BIOGEOGR, V20, P58, DOI 10.1111/j.1466-8238.2010.00575.x
   Leitao F, 2018, AQUAT CONSERV, V28, P1351, DOI 10.1002/aqc.2947
   Llopiz JK, 2014, OCEANOGRAPHY, V27, P26, DOI 10.5670/oceanog.2014.84
   Lloret J, 2004, FISH OCEANOGR, V13, P102, DOI 10.1046/j.1365-2419.2003.00279.x
   Lovejoy T E. e., 2005, Climate Change and Biodiversity, P418
   Mahadeva L., 2004, Unit Root Testing to Help Model Building
   MANSFIELD ER, 1982, AM STAT, V36, P158, DOI 10.2307/2683167
   Marques AC, 2016, RENEW ENERG, V96, P645, DOI 10.1016/j.renene.2016.05.033
   Masud-Ul-Alam M., 2020, BANGLADESH MAR J, V4, P107
   Meynecke JO, 2006, ESTUAR COAST SHELF S, V69, P491, DOI 10.1016/j.ecss.2006.05.011
   Mueter FJ, 2008, ECOL APPL, V18, P309, DOI 10.1890/07-0564.1
   Munday PL, 2013, MAR BIOL, V160, P2137, DOI 10.1007/s00227-012-2111-6
   Mustapha M. K., 2013, Journal of Earth Science & Climatic Change, V4, P130
   Narayan P, 2004, Reformulating critical values for the bounds F-statistics approach to cointegration: an application to the tourism demand model for Fiji, V2, P04
   National Oceanic and Atmospheric Administration (NOAA), 2021, DAT S DEP COMM SEA T
   Oxenford H.A., 2017, Science Review, P83
   Pauly D, 2018, GLOBAL CHANGE BIOL, V24, pE15, DOI 10.1111/gcb.13831
   PEPIN P, 1991, CAN J FISH AQUAT SCI, V48, P503, DOI 10.1139/f91-065
   Perry AL, 2005, SCIENCE, V308, P1912, DOI 10.1126/science.1111322
   Pesaran MH, 2001, J APPL ECONOMET, V16, P289, DOI 10.1002/jae.616
   Pesaran MH., 1998, ECONOMETRICS EC THEO, V31, P371, DOI [DOI 10.1017/CCOL521633230.011, 10.1017/ccol521633230.011]
   Pitchaikani JS., 2012, J Oceanogr Mar Sci, V3, P56, DOI [10.5897/JOMS, DOI 10.5897/JOMS12.006]
   Pörtner HO, 2007, SCIENCE, V315, P95, DOI 10.1126/science.1135471
   Pörtner HO, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P411
   Rahman LF, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13169124
   Rahman MR, 2017, THEOR APPL CLIMATOL, V128, P27, DOI 10.1007/s00704-015-1688-3
   Santos AMP, 2001, ICES J MAR SCI, V58, P589, DOI 10.1006/jmsc.2001.1060
   Sarker MAR, 2014, ECON ANAL POLICY, V44, P405, DOI 10.1016/j.eap.2014.11.004
   Sarker MAR, 2012, AGR SYST, V112, P11, DOI 10.1016/j.agsy.2012.06.004
   Schippers P, 2004, ECOL LETT, V7, P446, DOI 10.1111/j.1461-0248.2004.00597.x
   Shah P, 2019, MAR GEOD, V42, P64, DOI 10.1080/01490419.2018.1553805
   Shamsuzzaman Md Mostafa, 2017, Aquaculture and Fisheries, V2, P145, DOI 10.1016/j.aaf.2017.03.006
   Suh D, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00232
   Sumaila UR, 2011, NAT CLIM CHANGE, V1, P449, DOI 10.1038/NCLIMATE1301
   Sunny AR, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13179912
   Teixeira CM, 2016, REG ENVIRON CHANGE, V16, P709, DOI 10.1007/s10113-015-0786-1
   Teixeira CM, 2014, REG ENVIRON CHANGE, V14, P657, DOI 10.1007/s10113-013-0524-5
   Thara K.J., 2011, THESIS COCHIN U SCI
   Thiault L, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aaw9976
   Toufique KA, 2014, WORLD DEV, V64, P609, DOI 10.1016/j.worlddev.2014.06.035
   Warsame AA, 2021, ENVIRON SCI POLLUT R, V28, P19838, DOI 10.1007/s11356-020-11739-3
   Whitehead PG, 2015, ENVIRON SCI-PROC IMP, V17, P1082, DOI [10.1039/c4em00616j, 10.1039/C4EM00616J]
   World Development Indicators (WDI) (2022) Database World Bank, DAT CO2 EM
   Zink IC, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0198539
NR 100
TC 12
Z9 12
U1 3
U2 15
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 0944-1344
EI 1614-7499
J9 ENVIRON SCI POLLUT R
JI Environ. Sci. Pollut. Res.
PD DEC
PY 2022
VL 29
IS 58
BP 87923
EP 87937
DI 10.1007/s11356-022-21845-z
EA JUL 2022
PG 15
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 6H0GN
UT WOS:000823360700007
PM 35819668
DA 2025-01-10
ER

PT J
AU Kurniadi, A
   Weller, E
   Kim, YH
   Min, SK
AF Kurniadi, Ari
   Weller, Evan
   Kim, Yeon-Hee
   Min, Seung-Ki
TI Evaluation of Coupled Model Intercomparison Project Phase 6
   model-simulated extreme precipitation over Indonesia
SO INTERNATIONAL JOURNAL OF CLIMATOLOGY
LA English
DT Article
DE climate extreme; CMIP6; extreme precipitation; Indonesia; model
   evaluation
ID REGIONAL CLIMATE MODELS; TROPICAL RAINFALL; GLOBAL CLIMATE; CMIP5;
   INDEXES; TEMPERATURE; VARIABILITY; UNCERTAINTIES; ENSEMBLE; PATTERNS
AB The ability of 42 global climate models from the Coupled Model Intercomparison Project Phase 6 (CMIP6), consisting of 20 low resolution (LR) and 22 medium resolution (MR), are evaluated for their performance in simulating mean and extreme precipitation over Indonesia. Compared to Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS), the model climatologies and interannual variability are investigated individually and as multimodel ensemble means (MME-mean) at monthly and seasonal time scales for the historical simulation over the period 1988-2014. Overall, results show that both LR and MR CMIP6 model skills in simulating mean and extreme precipitation indices vary across specific Indonesian regions and seasons. The individual and MME-mean tend to overestimate the observed climatology, being largest over drier regions, yet MR models perform better compared to the LR regarding the mean bias presumably due to increased resolution. CMIP6 models tend to simulate extreme precipitation better in the dry seasons compared to the wet season. The MME-means of the LR and MR groups mostly outperform the individual models of each group in simulating wet extremes (R95p and Rx5d) but not for the dry extremes (CDD). Among the 42 CMIP6 models, three models consistently perform poorly in simulating Rx5d and R95p, namely FGOALS-g3, IPSL-CM6A-LR, and IPSL-CM6A-LR-INCA, and one model in consecutive dry day (CDD) simulation, MPI-ESM-1-2-HAM, and caution is warranted. Given the knowledge of such biases, the LR and MR CMIP6 climate models can be suitably applied to assist policy makers in their decision on climate change adaptation and mitigation action.
C1 [Kurniadi, Ari; Weller, Evan] Univ Auckland, Sch Environm, Auckland, New Zealand.
   [Kurniadi, Ari] Indonesia Agcy Meteorol Climatol & Geophys BMKG, Ctr Climate Change Informat, Jakarta, Indonesia.
   [Kim, Yeon-Hee; Min, Seung-Ki] Pohang Univ Sci & Technol, Div Environm Sci & Engn, Pohang, South Korea.
C3 University of Auckland; Indonesian Agency for Meteorology, Climatology &
   Geophysics; Pohang University of Science & Technology (POSTECH)
RP Kurniadi, A (corresponding author), Sci Ctr, Bldg 302,Level 4,Room 451,23 Symonds St, Auckland 1010, New Zealand.
EM akur687@aucklanduni.ac.nz
RI Kurniadi, Ari/JMC-2794-2023; Min, Seung-Ki/B-1431-2010
OI Kurniadi, Ari/0000-0002-7503-7989; Min, Seung-Ki/0000-0002-6749-010X;
   Kim, Yeon-Hee/0000-0003-0233-1690
FU Ministry of Foreign Affairs and Trade, New Zealand: New Zealand
   Scholarship (NZS)
FX Ministry of Foreign Affairs and Trade, New Zealand: New Zealand
   Scholarship (NZS)
CR Ajibola FO, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11101053
   Aldrian E, 2007, THEOR APPL CLIMATOL, V87, P41, DOI 10.1007/s00704-006-0218-8
   Aldrian E, 2004, CLIM DYNAM, V22, P795, DOI 10.1007/s00382-004-0418-9
   Aldrian E, 2003, INT J CLIMATOL, V23, P1435, DOI 10.1002/joc.950
   Aldrian E., 2003, 346 MPI
   As-syakur A, 2014, INT J CLIMATOL, V34, P3825, DOI 10.1002/joc.3939
   Ashiq MW, 2010, THEOR APPL CLIMATOL, V99, P239, DOI 10.1007/s00704-009-0140-y
   Ayugi B, 2021, INT J CLIMATOL, V41, P6474, DOI 10.1002/joc.7207
   BMKG, 2021, INF PER NORM CUR HUJ
   Boucher O, 2020, J ADV MODEL EARTH SY, V12, DOI 10.1029/2019MS002010
   Callihan JL, 2008, FISH OCEANOGR, V17, P191, DOI 10.1111/j.1365-2419.2008.00468.x
   Chandrasa GT, 2020, INT J CLIMATOL, V40, P2026, DOI 10.1002/joc.6316
   Chen CA, 2021, WEATHER CLIM EXTREME, V31, DOI 10.1016/j.wace.2021.100303
   Chen HP, 2020, SCI BULL, V65, P1415, DOI 10.1016/j.scib.2020.05.015
   Christensen JH, 2007, CLIMATIC CHANGE, V81, P1, DOI 10.1007/s10584-006-9211-6
   Climpact, 2021, CLIMP IND
   Das L, 2012, CLIM RES, V51, P201, DOI 10.3354/cr01064
   Debortoli NS, 2017, NAT HAZARDS, V86, P557, DOI 10.1007/s11069-016-2705-2
   Demory M.-E., 2020, IN PRESS
   Derin Y, 2014, J HYDROMETEOROL, V15, P1498, DOI 10.1175/JHM-D-13-0191.1
   Diaconescu EP, 2015, J HYDROMETEOROL, V16, P2301, DOI 10.1175/JHM-D-15-0025.1
   Dinku T, 2010, J APPL METEOROL CLIM, V49, P1004, DOI 10.1175/2009JAMC2260.1
   Dong TY, 2021, CLIM DYNAM, V57, P1751, DOI 10.1007/s00382-021-05773-1
   Duffy PB, 2003, CLIM DYNAM, V21, P371, DOI 10.1007/s00382-003-0339-z
   Easterling D.R., 2017, PRECIPITATION CHANGE
   Eguchi T., 1983, GEOGR REV JPN, V56, P151, DOI [10.4157/grj.56.151, DOI 10.4157/GRJ.56.151]
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   Fan XW, 2020, J GEOPHYS RES-ATMOS, V125, DOI 10.1029/2020JD033031
   Fiedler S, 2020, MON WEATHER REV, V148, P3653, DOI 10.1175/MWR-D-19-0404.1
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Frich P, 2002, CLIMATE RES, V19, P193, DOI 10.3354/cr019193
   Funk C, 2015, SCI DATA, V2, DOI 10.1038/sdata.2015.50
   Ge F, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abd7ad
   Giorgi F., 2009, Bulletin - World Meteorological Organization, V58, P175
   Gouda KC, 2018, WEATHER CLIM EXTREME, V21, P10, DOI 10.1016/j.wace.2018.05.001
   Guo DL, 2016, ADV ATMOS SCI, V33, P559, DOI 10.1007/s00376-015-5147-y
   Hausfather Z, 2020, NATURE, V577, P618, DOI 10.1038/d41586-020-00177-3
   Huang P, 2013, NAT GEOSCI, V6, P357, DOI [10.1038/ngeo1792, 10.1038/NGEO1792]
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Iqbal Z, 2021, ATMOS RES, V254, DOI 10.1016/j.atmosres.2021.105525
   Izumo T, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2019GL086182
   Jiang L, 2021, J SOIL SEDIMENT, V21, P766, DOI 10.1007/s11368-020-02862-2
   Jones PW, 1999, MON WEATHER REV, V127, P2204, DOI 10.1175/1520-0493(1999)127<2204:FASOCR>2.0.CO;2
   Kharin VV, 2013, CLIMATIC CHANGE, V119, P345, DOI 10.1007/s10584-013-0705-8
   Kim YH, 2020, WEATHER CLIM EXTREME, V29, DOI 10.1016/j.wace.2020.100269
   Kurniadi A, 2021, INT J CLIMATOL, V41, P3640, DOI 10.1002/joc.7040
   Lestari S, 2019, WEATHER CLIM EXTREME, V24, DOI 10.1016/j.wace.2019.100202
   Li JLF, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/abc7dd
   Liu CY, 2020, ATMOS RES, V244, DOI 10.1016/j.atmosres.2020.105032
   Marengo JA, 2021, FRONT WATER, V3, DOI 10.3389/frwa.2021.639204
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Meehl G.A., 2014, EOS T AM GEOPHYS UN, V95
   Moon S, 2020, NPJ CLIM ATMOS SCI, V3, DOI 10.1038/s41612-020-00151-w
   NCAR Staff, 2014, LAST MOD 13 JAN 2014
   Nikulin G, 2012, J CLIMATE, V25, P6057, DOI 10.1175/JCLI-D-11-00375.1
   O'Neill BC, 2016, GEOSCI MODEL DEV, V9, P3461, DOI 10.5194/gmd-9-3461-2016
   Pan Z., 2001, Journal of Geophysical Research, V106, P17735, DOI 10.1029/2001JD900193
   Pendergrass AG, 2014, J CLIMATE, V27, P8357, DOI 10.1175/JCLI-D-14-00182.1
   Poan ED, 2016, CLIM DYNAM, V47, P3113, DOI 10.1007/s00382-016-3016-8
   Qian JH, 2013, J CLIMATE, V26, P1772, DOI 10.1175/JCLI-D-12-00178.1
   Rauniyar SP, 2017, EARTH SPACE SCI, V4, P275, DOI 10.1002/2017EA000279
   Roxy M, 2014, CLIM DYNAM, V43, P1159, DOI 10.1007/s00382-013-1881-y
   Sarojini BB, 2016, NAT CLIM CHANGE, V6, P669, DOI 10.1038/NCLIMATE2976
   Satgé F, 2017, REMOTE SENS-BASEL, V9, DOI 10.3390/rs9030218
   Schneider U., 2008, Global Precipitation Climatology Centre (GPCC), DWD, Internet Publikation, P112
   Setiawan AM, 2017, IOP C SER EARTH ENV, V54, DOI 10.1088/1755-1315/54/1/012040
   Sillmann J, 2013, J GEOPHYS RES-ATMOS, V118, P1716, DOI 10.1002/jgrd.50203
   Simpkins G, 2017, NAT CLIM CHANGE, V7, P684, DOI 10.1038/nclimate3398
   Siswanto, 2017, WEATHER CLIM EXTREME, V16, P23, DOI 10.1016/j.wace.2017.03.003
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Stouffer RJ, 2017, B AM METEOROL SOC, V98, P95, DOI 10.1175/BAMS-D-15-00013.1
   Sugiartha N., 2017, INT J ENV GEOSCI, V1, P36, DOI DOI 10.24843/IJEG.2017.V01.I01.P05
   Sun QH, 2018, REV GEOPHYS, V56, P79, DOI 10.1002/2017RG000574
   Sun QH, 2015, J GEOPHYS RES-ATMOS, V120, P4806, DOI 10.1002/2014JD022994
   Sun WY, 2016, ATMOS RES, V168, P33, DOI 10.1016/j.atmosres.2015.09.001
   Supari, 2020, ENVIRON RES, V184, DOI 10.1016/j.envres.2020.109350
   Supari,, 2017, INT J CLIMATOL, V37, P1979, DOI 10.1002/joc.4829
   Tangang F, 2020, CLIM DYNAM, V55, P1247, DOI 10.1007/s00382-020-05322-2
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Trenberth K.E., 2005, ENCY HYDROLOGICAL SC, P1, DOI [DOI 10.1002/0470848944.HSA211, 10.1002/0470848944.hsa211.]
   Ueda H, 2005, GEOGR REV JAPAN, V78, P825, DOI [10.4157/grj.78.825, DOI 10.4157/GRJ.78.825]
   van der Wiel K, 2016, J CLIMATE, V29, P7991, DOI 10.1175/JCLI-D-16-0307.1
   Wati T., 2019, IOP Conference Series: Earth and Environmental Science, V299, DOI 10.1088/1755-1315/299/1/012042
   Wei W, 2019, ATMOSPHERE-BASEL, V10, DOI 10.3390/atmos10050239
   Willems P, 2011, J HYDROL, V402, P193, DOI 10.1016/j.jhydrol.2011.02.030
   Yazdandoost F, 2021, ATMOS RES, V250, DOI 10.1016/j.atmosres.2020.105369
   Ying J, 2019, CLIM DYNAM, V52, P1805, DOI 10.1007/s00382-018-4219-y
   Yosef P., 2017, IOP C SERIES EARTH E, V98, DOI 10.1088/1755-1315/98/1/012004
   Zhang L, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/4/045706
   Zhang XB, 2011, WIRES CLIM CHANGE, V2, P851, DOI 10.1002/wcc.147
   Zhang XB, 2010, J CLIMATE, V23, P2902, DOI 10.1175/2010JCLI3249.1
   Zhang ZP, 2019, IEEE ACM T COMPUT BI, V16, P407, DOI 10.1109/TCBB.2017.2704587
NR 92
TC 8
Z9 8
U1 1
U2 31
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0899-8418
EI 1097-0088
J9 INT J CLIMATOL
JI Int. J. Climatol.
PD JAN
PY 2023
VL 43
IS 1
BP 174
EP 196
DI 10.1002/joc.7744
EA JUN 2022
PG 23
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA 7Z3PJ
UT WOS:000810804600001
OA hybrid
DA 2025-01-10
ER

PT J
AU Garschagen, M
   Doshi, D
   Reith, J
   Hagenlocher, M
AF Garschagen, Matthias
   Doshi, Deepal
   Reith, Jonathan
   Hagenlocher, Michael
TI Global patterns of disaster and climate risk-an analysis of the
   consistency of leading index-based assessments and their results
SO CLIMATIC CHANGE
LA English
DT Article
DE Risk assessment; Vulnerability assessment; Indicators; Climate change
   adaptation; Disasters; Climate policy
ID SOCIAL VULNERABILITY; DROUGHT RISK; EXPOSURE; FUTURE; HAZARD; FLOODS
AB Indices assessing country-level climate and disaster risk at the global scale have experienced a steep rise in popularity both in science and international climate policy. A number of widely cited products have been developed and published over the recent years, argued to contribute critical knowledge for prioritizing action and funding. However, it remains unclear how their results compare, and how consistent their findings are on country-level risk, exposure, vulnerability and lack of coping, as well as adaptive capacity. This paper analyses and compares the design, data, and results of four of the leading global climate and disaster risk indices: The World Risk Index, the INFORM Risk Index, ND-GAIN Index, and the Climate Risk Index. Our analysis clearly shows that there is considerable degree of cross-index variation regarding countries' risk levels and comparative ranks. At the same time, there is above-average agreement for high-risk countries. In terms of risk sub-components, there is surprisingly little agreement in the results on hazard exposure, while strong inter-index correlations can be observed when ranking countries according to their socio-economic vulnerability and lack of coping as well as adaptive capacity. Vulnerability and capacity hotspots can hence be identified more robustly than risk and exposure hotspots. Our findings speak both to the potential as well as limitations of index-based approaches. They show that a solid understanding of index-based assessment tools, and their conceptual and methodological underpinnings, is necessary to navigate them properly and interpret as well as use their results in triangulation.
C1 [Garschagen, Matthias; Doshi, Deepal] Ludwig Maximilians Univ Munich LMU, Dept Geog, Luisenstr 37, D-80333 Munich, Germany.
   [Reith, Jonathan; Hagenlocher, Michael] United Nations Univ, Inst Environm & Human Secur UNU EHS, Pl Vereinten Nationen 1, D-53113 Bonn, Germany.
C3 University of Munich
RP Garschagen, M (corresponding author), Ludwig Maximilians Univ Munich LMU, Dept Geog, Luisenstr 37, D-80333 Munich, Germany.
EM m.garschagen@lmu.de
RI Doshi, Deepal/AAF-8338-2021
OI Hagenlocher, Michael/0000-0002-5254-6713; Doshi,
   Deepal/0000-0002-9606-2809; Reith, Jonathan/0000-0003-3094-9228
FU Projekt DEAL; LAKARI project; German Federal Ministry of Education and
   Research (BMBF) [D/396/67223147]
FX Open Access funding enabled and organized by Projekt DEAL. This research
   has received funding from the LAKARI project and has been supported by
   the German Federal Ministry of Education and Research (BMBF; grant no.
   D/396/67223147).
CR Adger WN, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2018.0106
   Anderson CC, 2019, INT J DISAST RISK RE, V39, DOI 10.1016/j.ijdrr.2019.101128
   [Anonymous], 2015, AUST J EMERG MANAG, V30, P9
   [Anonymous], 2018, Global Warming of 1.5 oC
   [Anonymous], 2018, Economic Losses, Poverty and Disasters 1998-2017
   [Anonymous], 2011, Global Assessment Report on Disaster Risk Reduction 2011: Revealing Risk, Redefining Development, V2nd
   Beccari Benjamin, 2016, PLoS Curr, V8, DOI 10.1371/currents.dis.453df025e34b682e9737f95070f9b970
   Birkmann J., 2007, Environmental Hazards, V7, P20, DOI 10.1016/j.envhaz.2007.04.002
   Carrao H, 2016, GLOBAL ENVIRON CHANG, V39, P108, DOI 10.1016/j.gloenvcha.2016.04.012
   Chen C., 2015, Technical Report
   Choi HI, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-55994-y
   CRED UNDRR, 2020, HUMAN COST DISASTERS
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   de Sherbinin A, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.600
   De Sherbinin A, 2017, GEOGR J, V183, P414, DOI 10.1111/geoj.12226
   Dilley M, 2005, DISAST RISK MANAGE, P1
   Eckstein D., 2020, GLOBAL CLIMATE RISK
   Feizizadeh B, 2017, J ENVIRON PLANN MAN, V60, P2013, DOI 10.1080/09640568.2016.1269643
   Fekete A, 2009, NAT HAZARD EARTH SYS, V9, P393, DOI 10.5194/nhess-9-393-2009
   Ford JD, 2018, CLIMATIC CHANGE, V151, P189, DOI 10.1007/s10584-018-2304-1
   Gall M., 2007, INDICES SOCIAL VULNE
   Garschagen M., 2019, IPCC, P87, DOI [10.1017/9781009157964.003, DOI 10.1017/9781009157964.003]
   Garschagen M., 2016, Landeranalyse zum Katastrophenund Risikomanagement
   Garschagen M, 2016, World Risk Report 2016
   Garschagen M., DOES FUNDS BASED ADA
   Hagenlocher M., 2017, INSURISK ASSESSMENT
   Hagenlocher M, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab225d
   Hinkel J, 2011, GLOBAL ENVIRON CHANG, V21, P198, DOI 10.1016/j.gloenvcha.2010.08.002
   Hirabayashi Y, 2013, NAT CLIM CHANGE, V3, P816, DOI [10.1038/nclimate1911, 10.1038/NCLIMATE1911]
   IPCC, 2012, MAN RISKS EXTR EV, DOI 10.1017/CBO9781139177245
   ITU, 2017, WHO ARE SIDS
   Kreft S., 2014, USES USERS CLIMATE C
   Larsson Johan, 2024, CRAN
   Leiter T., 2017, CLIMATE CHANGE POLIC
   Leiter T., 2019, Adaptation Metrics. Current Landscape and Evolving Practices
   Lvholt F., 2022, Complexity in Tsunamis, Volcanoes, and Their Hazards, DOI [DOI 10.1007/978-3-642-27737-5642-1, 10.1007/978-1-0716-1705-2642, DOI 10.1007/978-1-0716-1705-2642]
   Machado EA, 2018, MITIG ADAPT STRAT GL, V23, P1109, DOI 10.1007/s11027-017-9775-7
   Mendelsohn R, 2012, NAT CLIM CHANGE, V2, P205, DOI 10.1038/NCLIMATE1357
   Meza I, 2020, NAT HAZARD EARTH SYS, V20, P695, DOI 10.5194/nhess-20-695-2020
   Munich Re N.S., 2020, FACTSHEET NATURAL DI
   Nadim F, 2006, LANDSLIDES, V3, P159, DOI 10.1007/s10346-006-0036-1
   Osuteye E, 2017, INT J DISAST RISK RE, V26, P24, DOI 10.1016/j.ijdrr.2017.09.026
   Pan HM, 2015, INT J DISAST RISK RE, V13, P52, DOI 10.1016/j.ijdrr.2015.03.004
   Panwar V., 2020, Economics of Disasters and Climate Change, V4, P295, DOI [DOI 10.1007/S41885-019-00052-0, https://doi.org/10.1007/s41885-019-00052-0]
   Peduzzi P, 2012, NAT CLIM CHANGE, V2, P289, DOI 10.1038/NCLIMATE1410
   Peduzzi P, 2009, NAT HAZARD EARTH SYS, V9, P1149, DOI 10.5194/nhess-9-1149-2009
   Pelling M., 2013, MEASURING VULNERABIL
   Preston BL, 2011, SUSTAIN SCI, V6, P177, DOI 10.1007/s11625-011-0129-1
   R Core Team, 2020, R: A Language and Environment for Statistical Computing
   Rufat S, 2015, INT J DISAST RISK RE, V14, P470, DOI 10.1016/j.ijdrr.2015.09.013
   Schmidtlein MC, 2008, RISK ANAL, V28, P1099, DOI 10.1111/j.1539-6924.2008.01072.x
   Silva V, 2020, EARTHQ SPECTRA, V36, P372, DOI 10.1177/8755293019899953
   Tate E, 2013, ANN ASSOC AM GEOGR, V103, P526, DOI 10.1080/00045608.2012.700616
   Tate E, 2012, NAT HAZARDS, V63, P325, DOI 10.1007/s11069-012-0152-2
   UCLouvain CRED USAID, 2019, NATURAL DISASTERS
   UN DESA, 2019, 2019 revision of world population prospects.
   UN OCHA, 2020, INF REP 2020
   UNDRR, 2018, TECHN GUID MON REP P
   UNFCCC, 2015, ADOPT PAR AGR
   United Nations, 2015, No.A/RES/70/1.
   United Nations, 2020, Sustainable Development Goals Report 2020
   Ward PJ, 2020, NAT HAZARD EARTH SYS, V20, P1069, DOI 10.5194/nhess-20-1069-2020
   Ward PJ, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/4/044019
   Welle T., 2015, J EXTREME EVENTS, V2, P1550003, DOI [10.1142/S2345737615500037, DOI 10.1142/S2345737615500037]
   Willis I, 2016, NAT HAZARD EARTH SYS, V16, P1387, DOI 10.5194/nhess-16-1387-2016
   Wisner B., 2004, At risk: natural hazards, people's vulnerability and disasters
NR 66
TC 24
Z9 24
U1 7
U2 56
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD NOV
PY 2021
VL 169
IS 1-2
AR 11
DI 10.1007/s10584-021-03209-7
PG 19
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA WW5US
UT WOS:000717981900001
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Marttunen, M
   Mustajoki, J
   Lehtoranta, V
   Saarikoski, H
AF Marttunen, Mika
   Mustajoki, Jyri
   Lehtoranta, Virpi
   Saarikoski, Heli
TI Complementary use of the Ecosystem Service Concept and Multi-criteria
   Decision Analysis in Water Management
SO ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Ecosystem service; Multi-criteria decision analysis; Stakeholder; Water;
   Management
ID CLIMATE-CHANGE ADAPTATION; INTEGRATED VALUATION; RESOURCE MANAGEMENT;
   CLASSIFICATION; SUITABILITY; FRAMEWORK; DEMAND; VALUES; HELP
AB The ecosystem service (ES) concept has increasingly been applied in environmental planning, while there are several decades of experience in applying multi-criteria decision analysis (MCDA) in complex planning situations. The aim of this article is to assess how the ES concept has been used in water management projects together with MCDA and to examine the experiences gained and make recommendations to overcome any identified challenges. Our conclusions are based on a systematic analysis of 23 articles that were selected among 206 articles focused on water-related studies using, for example, the terms multi-criteria and ecosystem services in the title, abstract or keywords. Here, we explore (i) at what level of detail ESs are included in the decision hierarchy, (ii) the pros and cons of the complementary use of the two approaches, and (iii) how the potential challenges related to the use of MCDA, such as the large number of criteria, double-counting, or assigning criteria weights, are addressed in the selected cases. The results reveal large differences between the case studies. It is shown that only a few case studies used ES categories to classify criteria in the decision hierarchy, that these cases included different numbers of ES criteria and non-ES criteria, and that most case studies elicited stakeholder preferences in MCDA. Although the paper focuses on water management projects, the conclusions regarding the advantages and pitfalls of the complementary use of the methods, as well as our recommendations, are also applicable to other environmental management contexts.
C1 [Marttunen, Mika; Mustajoki, Jyri; Lehtoranta, Virpi; Saarikoski, Heli] SYKE, Finnish Environm Inst, Latokartanonkaari 11, Helsinki 00790, Finland.
C3 Finnish Environment Institute
RP Marttunen, M (corresponding author), SYKE, Finnish Environm Inst, Latokartanonkaari 11, Helsinki 00790, Finland.
EM mika.marttunen@syke.fi
RI Marttunen, Mika/G-3134-2019; Mustajoki, Jyri/AAE-7068-2020
OI Mustajoki, Jyri/0000-0003-3520-9173
FU Academy of Finland project PortRight [323798]; Academy of Finland (AKA)
   [323798] Funding Source: Academy of Finland (AKA)
FX We thank Oona Kinnunen for her valuable help in the literature review
   and three reviewers for their constructive comments, which markedly
   improved paper. The work was supported by the Academy of Finland project
   PortRight (Grant number 323798).
CR Ainscough J, 2019, ECOSYST SERV, V36, DOI 10.1016/j.ecoser.2019.01.004
   [Anonymous], 1986, Decision Analysis and Behavioral Research
   [Anonymous], 2005, Ecosystems and Human Well-Being: Synthesis, P160
   Antunes P, 2011, INT J AGR SUSTAIN, V9, P334, DOI 10.1080/14735903.2011.582358
   Baker J, 2013, ENVIRON IMPACT ASSES, V40, P3, DOI 10.1016/j.eiar.2012.11.004
   Bana E Costa CA, 2004, WATER RESOUR MANAG, V18, P263, DOI 10.1023/B:WARM.0000043163.19531.6a
   Beardmore L, 2019, LAND USE POLICY, V87, DOI 10.1016/j.landusepol.2019.104070
   Belton Valerie., 2002, Multiple Criteria Decision Analysis: An Integrated Approach, DOI [10.1007/978-1-4615-1495-4, DOI 10.1007/978-1-4615-1495-4]
   Boardman A.E., 2018, Cost-Benefit Analysis: Concepts and Practice, Vfourth
   Borsuk ME, 2019, ECOL SOC, V24, DOI 10.5751/ES-10806-240211
   Boyd J, 2007, ECOL ECON, V63, P616, DOI 10.1016/j.ecolecon.2007.01.002
   Brown TC, 2007, NAT RESOUR J, V47, P329
   Bryan BA, 2011, WATER RESOUR MANAG, V25, P875, DOI 10.1007/s11269-010-9731-8
   Bryan BA, 2010, ECOSYSTEMS, V13, P539, DOI 10.1007/s10021-010-9339-0
   Cegan Jeffrey C., 2017, Environment Systems & Decisions, V37, P123, DOI 10.1007/s10669-017-9642-9
   Chan KMA, 2012, ECOL ECON, V74, P8, DOI 10.1016/j.ecolecon.2011.11.011
   Chen W, 2020, ENVIRON SCI POLLUT R, V27, P23503, DOI 10.1007/s11356-020-08760-x
   Choo EU, 1999, COMPUT IND ENG, V37, P527, DOI 10.1016/S0360-8352(00)00019-X
   Comín FA, 2018, J APPL ECOL, V55, P1155, DOI 10.1111/1365-2664.13061
   Cook BR, 2012, J ENVIRON MANAGE, V109, P93, DOI 10.1016/j.jenvman.2012.05.016
   Costanza R, 1997, NATURE, V387, P253, DOI 10.1038/387253a0
   Daily G. C., 1997, Nature's services: societal dependence on natural ecosystems., P113
   Díaz S, 2018, SCIENCE, V359, P270, DOI 10.1126/science.aap8826
   Canada CBD, 2016, J SUSTAIN FOREST, V35, P500, DOI 10.1080/10549811.2016.1225511
   Doumpos M, 2010, APPL OPTIM, V103, P215, DOI 10.1007/978-3-540-92828-7_7
   Eisenführ F, 2010, RATIONAL DECISION MAKING, P371, DOI 10.1007/978-3-642-02851-9_13
   Esse C, 2019, FOR ECOSYST, V6, DOI 10.1186/s40663-019-0183-1
   Finisdore J, 2021, ECOSYST SERV, V48, DOI 10.1016/j.ecoser.2021.101257
   Finisdore J, 2020, ECOSYST SERV, V45, DOI 10.1016/j.ecoser.2020.101160
   Fisher B, 2008, BIOL CONSERV, V141, P1167, DOI 10.1016/j.biocon.2008.02.019
   Flood S., 2020, ECOSYSTEM BASED MANA, P87, DOI [10.1007/978-3-030-45843-0_5, DOI 10.1007/978-3-030-45843-0_5]
   de Jalón SG, 2014, REG ENVIRON CHANGE, V14, P1229, DOI 10.1007/s10113-013-0569-5
   Garmendia E, 2012, ECOL ECON, V84, P110, DOI 10.1016/j.ecolecon.2012.09.004
   Gómez-Baggethun E, 2010, ECOL ECON, V69, P1209, DOI 10.1016/j.ecolecon.2009.11.007
   Gregory R, 2012, UTOPIAN SPACES OF MODERNISM: BRITISH LITERATURE AND CULTURE, 1885-1945, P1
   Grizzetti B, 2016, ENVIRON SCI POLICY, V61, P194, DOI 10.1016/j.envsci.2016.04.008
   Guitouni A, 1998, EUR J OPER RES, V109, P501, DOI 10.1016/S0377-2217(98)00073-3
   Hajkowicz S, 2007, WATER RESOUR MANAG, V21, P1553, DOI 10.1007/s11269-006-9112-5
   Hein L, 2006, ECOL ECON, V57, P209, DOI 10.1016/j.ecolecon.2005.04.005
   Heink U, 2019, ECOL ECON, V156, P264, DOI 10.1016/j.ecolecon.2018.10.009
   Hobbs BF, 1997, ENERG POLICY, V25, P357, DOI 10.1016/S0301-4215(97)00025-6
   Hoenke KM, 2014, ECOL ENG, V64, P27, DOI 10.1016/j.ecoleng.2013.12.009
   Huang IB, 2011, SCI TOTAL ENVIRON, V409, P3578, DOI 10.1016/j.scitotenv.2011.06.022
   Huang L, 2015, ADV CLIM CHANG RES, V6, P141, DOI 10.1016/j.accre.2015.09.011
   Janssen R, 2006, INT J ENVIRON TECHNO, V6, P20, DOI 10.1504/IJETM.2006.008252
   Johnston R, 2013, ENVIRON SCI POLICY, V34, P3, DOI 10.1016/j.envsci.2012.12.006
   Karjalainen TP, 2013, HYDROL EARTH SYST SC, V17, P5141, DOI 10.5194/hess-17-5141-2013
   Karjalainen TP, 2013, ENVIRON IMPACT ASSES, V40, P54, DOI 10.1016/j.eiar.2012.12.001
   Keeney R., 1992, Value-focused thinking: A path to creative decision making
   Keeney R.L., 1976, Decisions with Multiple Objectives: Preferences and Value Tradeoffs
   Keisler Jeffrey, 2014, Environment Systems & Decisions, V34, P369, DOI 10.1007/s10669-014-9515-4
   Kenter JO, 2016, ECOSYST SERV, V21, P358, DOI 10.1016/j.ecoser.2016.10.006
   Keune H., 2013, ECOSYSTEM SERVICES G, P167, DOI DOI 10.1016/B978-0-12-419964-4.00015-9
   Kuller M, 2019, SCI TOTAL ENVIRON, V686, P856, DOI 10.1016/j.scitotenv.2019.06.051
   Langemeyer J, 2016, ENVIRON SCI POLICY, V62, P45, DOI 10.1016/j.envsci.2016.02.013
   Liquete C, 2016, ECOSYST SERV, V22, P392, DOI 10.1016/j.ecoser.2016.09.011
   Liu S, 2013, J ENVIRON MANAGE, V129, P92, DOI 10.1016/j.jenvman.2013.06.047
   Marttunen M, 2018, EUR J OPER RES, V265, P178, DOI 10.1016/j.ejor.2017.02.038
   Marttunen M, 2015, EURO J DECIS PROCESS, V3, P187, DOI 10.1007/s40070-013-0016-3
   Mavrommati G, 2017, ECOL SOC, V22, DOI 10.5751/ES-09105-220239
   Maydana G, 2020, SCI TOTAL ENVIRON, V714, DOI 10.1016/j.scitotenv.2019.136430
   McInnes R, 2016, WATER ENVIRON J, V30, P298, DOI 10.1111/wej.12195
   Miller KA, 2014, MITIG ADAPT STRAT GL, V19, P289, DOI 10.1007/s11027-013-9537-0
   Montibeller G, 2015, RISK ANAL, V35, P1230, DOI 10.1111/risa.12360
   Munda G, 2005, INT SER OPER RES MAN, V78, P953, DOI 10.1007/0-387-23081-5_23
   Mustajoki J, 2020, ECOSYST SERV, V41, DOI 10.1016/j.ecoser.2019.101049
   Mustajoki J, 2017, ENVIRON MODELL SOFTW, V93, P78, DOI 10.1016/j.envsoft.2017.02.026
   Nahlik AM, 2012, ECOL ECON, V77, P27, DOI 10.1016/j.ecolecon.2012.01.001
   Newcomer-Johnson T., 2020, EPA600R20267 US EPA
   Odgaard MV, 2017, ECOL INDIC, V77, P151, DOI 10.1016/j.ecolind.2016.12.001
   Pendleton L, 2015, MAR ECOL PROG SER, V530, P183, DOI 10.3354/meps11111
   Primmer E, 2018, ECOL ECON, V152, P152, DOI 10.1016/j.ecolecon.2018.05.017
   Proctor W, 2006, ENVIRON PLANN C, V24, P169, DOI 10.1068/c22s
   Raymond CM, 2014, ECOL ECON, V107, P145, DOI 10.1016/j.ecolecon.2014.07.033
   Roy SG, 2018, P NATL ACAD SCI USA, V115, P12069, DOI 10.1073/pnas.1807437115
   Saarikoski H, 2021, ECOL ECON, V183, DOI 10.1016/j.ecolecon.2021.106955
   Saarikoski H, 2019, ECOL ECON, V162, P17, DOI 10.1016/j.ecolecon.2019.04.010
   Saarikoski H, 2016, ECOSYST SERV, V22, P238, DOI 10.1016/j.ecoser.2016.10.014
   Saaty T., 1980, The Analytical Hierarchy Process
   Stirling A, 2006, LAND USE POLICY, V23, P95, DOI 10.1016/j.landusepol.2004.08.010
   Teeb, 2008, EC ECOSYSTEM BIODIVE
   Torres AV, 2021, ECOSYST SERV, V49, DOI 10.1016/j.ecoser.2021.101267
   Turner RK, 2010, ANN NY ACAD SCI, V1185, P79, DOI 10.1111/j.1749-6632.2009.05280.x
   von Haaren Christina, 2011, International Journal of Biodiversity Science Ecosystem Services & Management, V7, P150, DOI 10.1080/21513732.2011.616534
   Weistroffer HR, 2005, INT SER OPER RES MAN, V78, P989, DOI 10.1007/0-387-23081-5_24
   Zhu JF, 2015, ENVIRON MONIT ASSESS, V187, DOI 10.1007/s10661-015-4523-5
NR 86
TC 14
Z9 15
U1 2
U2 22
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0364-152X
EI 1432-1009
J9 ENVIRON MANAGE
JI Environ. Manage.
PD APR
PY 2022
VL 69
IS 4
SI SI
BP 719
EP 734
DI 10.1007/s00267-021-01501-x
EA JUL 2021
PG 16
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 0N3YV
UT WOS:000679011200001
PM 34309682
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Trogrlic, RS
   Duncan, M
   Wright, G
   van den Homberg, M
   Adeloye, A
   Mwale, F
   McQuistan, C
AF Trogrlic, Robert Sakic
   Duncan, Melanie
   Wright, Grant
   van den Homberg, Marc
   Adeloye, Adebayo
   Mwale, Faidess
   McQuistan, Colin
TI External stakeholders' attitudes towards and engagement with local
   knowledge in disaster risk reduction: are we only paying lip service?
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Local knowledge; Indigenous knowledge; Flooding; Communities;
   Co-production; Community-based disaster risk reduction
ID CLIMATE-CHANGE ADAPTATION; INDIGENOUS KNOWLEDGE; SCIENTIFIC-KNOWLEDGE;
   FLOOD RISK; COPING STRATEGIES; MANAGEMENT; COMMUNITY; RESILIENCE;
   COASTAL; INTEGRATION
AB In the research and policy environment, local knowledge (LK) is increasingly seen as an important component of building the resilience of communities and delivering sustainable disaster risk reduction (DRR) approaches tailored to local contexts. Many studies focus on documenting LK in different contexts; however, far less emphasis has been given to understanding how external stakeholders (i.e. government, NGOs, consultants) engage with and perceive the value of LK for DRR. Through an intepretivist epistemology and a case study research design, this paper sets out to fill in this gap by engaging with external stakeholders involved with community-based flood risk management in Malawi. It bases its findings on a thematic analysis of qualitative data collected through focus group discussions (n = 7) and key informant interviews (n = 69) conducted in 2016 and 2017. The findings show that although there is an appreciation of the importance of LK in rhetoric, its inclusion in DRR practice remains limited. The strong dichotomy between local and scientific knowledge persists and it has led to the further marginalisation of LK. The international policy and research push for LK in DRR is therefore not translated to realities on the ground. To the best of our knowledge, this presents one of the first studies of external stakeholders' attitudes of LK and how these influence its overall position in DRR. The paper calls for further development of knowledge co-production processes that will be based on giving equal weight, recognition and importance to LK.
C1 [Trogrlic, Robert Sakic] Kings Coll London, Dept Geog, Strand Campus, London WC2B 4BG, England.
   [Trogrlic, Robert Sakic; Wright, Grant; Adeloye, Adebayo] Heriot Watt Univ, Sch Energy Geosci Infrastruct & Soc, Edinburgh EH14 4AS, Midlothian, Scotland.
   [Duncan, Melanie] British Geol Survey, Lyell Ctr, Edinburgh EH14 4AP, Midlothian, Scotland.
   [van den Homberg, Marc] 510 Initiat Netherlands Red Cross, NL-2593 HT The Hague, Netherlands.
   [Mwale, Faidess] Univ Malawi, Dept Civil Engn, 3 P Bag 303, Blantyre, Malawi.
   [McQuistan, Colin] Pract Act, Rugby CV21 2SD, England.
C3 University of London; King's College London; Heriot Watt University; UK
   Research & Innovation (UKRI); Natural Environment Research Council
   (NERC); NERC British Geological Survey; University of Malawi
RP Trogrlic, RS (corresponding author), Kings Coll London, Dept Geog, Strand Campus, London WC2B 4BG, England.
EM robert.sakic_trogrlic@kcl.ac.uk
RI van den Homberg, Marc/AGY-9332-2022
OI van den Homberg, Marc/0000-0003-1436-254X; SAKIC TROGRLIC,
   ROBERT/0000-0002-6627-873X; Wright, Grant/0000-0003-3241-1456; Mwale,
   Faidess Dumbizgani/0000-0003-4677-1209; Adeloye,
   Adebayo/0000-0002-2820-4596
FU Scottish Government through the Hydro Nation PhD Scholarship; British
   Geological Survey NC-ODA grant [NE/R000069/1]; NERC [NE/T012404/1,
   bgs06002] Funding Source: UKRI
FX The authors wish to thank all the individuals that volunteered their
   time to take part in this study. Also, we thank the Scottish Government
   for funding this research through the Hydro Nation PhD Scholarship
   awarded to the first author. We also thank Tanja Hendriks from
   University of Edinburgh for reviewing the draft manuscript before
   submission and providing valuable feedback. Melanie Duncan's
   contribution to this article was supported by British Geological Survey
   NC-ODA grant NE/R000069/1: Geoscience for Sustainable Futures. Melanie
   Duncan publishes with permission of the Executive Director, British
   Geological Survey (UKRI). Finally, we want to thank three anonymous
   reviewers for their suggestions that significantly improved the quality
   of the manuscript.
CR Acharya A, 2019, ENVIRON DEV, V31, P55, DOI 10.1016/j.envdev.2018.12.003
   Adeloye AJ, 2015, P INT ASS HYDROL SCI, V370, P139, DOI 10.5194/piahs-370-139-2015
   AGRAWAL A, 1995, DEV CHANGE, V26, P413, DOI 10.1111/j.1467-7660.1995.tb00560.x
   Allen KM, 2006, DISASTERS, V30, P81, DOI 10.1111/j.1467-9523.2006.00308.x
   [Anonymous], 2015, AUST J EMERG MANAG, V30, P9
   [Anonymous], 2009, LOCAL KNOWLEDGE DISA
   [Anonymous], 2017, GLOBAL HUMANITARIAN
   [Anonymous], 1980, Indigenous knowledge systems and development
   Arce A., 2003, NEGOTIATING LOCAL KN, P74
   Atkins, 2011, INTEGRATED FLOOD RIS
   Bacud ST, 2018, PROCEDIA ENGINEER, V212, P511, DOI 10.1016/j.proeng.2018.01.066
   Balay-As M, 2018, INT J DISAST RISK RE, V30, P18, DOI 10.1016/j.ijdrr.2018.03.013
   Berkes F, 2009, J ROY SOC NEW ZEAL, V39, P151, DOI 10.1080/03014220909510568
   Blaikie N., 2009, DESIGNING SOCIAL RES
   Braun V, 2021, QUAL RES PSYCHOL, V18, P328, DOI 10.1080/14780887.2020.1769238
   Briggs J., 2005, Progress in Development Studies, V5, P99, DOI DOI 10.1191/1464993405PS105OA
   Briggs J, 2013, PROG DEV STUD, V13, P231, DOI 10.1177/1464993413486549
   Bryman A., 2012, SOCIAL RES METHODS, V4
   Cadag JRD, 2012, AREA, V44, P100, DOI 10.1111/j.1475-4762.2011.01065.x
   Carby B, 2015, ENVIRON HAZARDS-UK, V14, P252, DOI 10.1080/17477891.2015.1058740
   Charmaz K., 2014, CONSTRUCTING GROUNDE
   Chikwawa District Council, 2014, DIS CONT PLAN 2014 2
   Chowdhooree I, 2019, INT J DISAST RISK RE, V40, DOI 10.1016/j.ijdrr.2019.101259
   Coles AR, 2018, ENVIRON HAZARDS-UK, V17, P128, DOI 10.1080/17477891.2017.1382319
   Cook D, 2015, UNDERSTANDING JIHAD, 2ND EDITION, P191
   Creswell J. W., 2018, Research design: qualitative, quantitative, and mixed methods approaches
   Dekens J., 2007, LOCAL KNOWLEDGE DISA
   Delica-Willison Z., 2012, Handbook of Hazards and Disaster Risk Reduction, P711
   Dube E, 2018, JAMBA-J DISASTER RIS, V10, DOI 10.4102/jamba.v10i1.493
   Gaillard JC, 2013, PROG HUM GEOG, V37, P93, DOI 10.1177/0309132512446717
   GFDRR, 2019, DIS RISK PROF MAL
   Government of Malawi, 2017, MAL GROWTH DEV STRAT
   Gray D., 2013, Doing research in the real world, V3rd
   Guest G, 2006, FIELD METHOD, V18, P59, DOI 10.1177/1525822X05279903
   Guest G, 2017, FIELD METHOD, V29, P3, DOI 10.1177/1525822X16639015
   Hareri R., 2018, CONT HOME ENV JEDDAH
   Headache classification Committee of the International Headache Society (IHS), 2018, Cephalalgia, V38, P1, DOI [10.1177/0333102417738202, DOI 10.1177/0333102417738202, DOI 10.2833/9937]
   Heijmans A., 2012, THESIS
   Heijmans A., 2009, 20 U COLL LOND
   Hendriks TD, 2019, INT J DISAST RISK RE, V40, DOI 10.1016/j.ijdrr.2019.101262
   Hilhorst D, 2015, DISASTER PREV MANAG, V24, P506, DOI 10.1108/DPM-02-2015-0027
   Hiwasaki L, 2014, INT J DISAST RISK RE, V10, P15, DOI 10.1016/j.ijdrr.2014.07.007
   Hiwasaki Lisa, 2017, The Routledge handbook of disaster risk reduction including climate change adaptation, P227
   Hooli LJ, 2016, REG ENVIRON CHANGE, V16, P695, DOI 10.1007/s10113-015-0782-5
   Howell P, 2003, Indigenous Early Warning Indicators of Cyclones: Potential Application in Coastal Bangladesh
   Iloka Nnamdi G, 2016, Jamba, V8, P272, DOI 10.4102/jamba.v8i1.272
   Irfanullah HM, 2011, INDIAN J TRADIT KNOW, V10, P80
   Islam MR, 2018, INT J DISAST RISK RE, V28, P531, DOI 10.1016/j.ijdrr.2017.12.017
   Jacobi J, 2017, ENVIRON MANAGE, V59, P464, DOI 10.1007/s00267-016-0805-0
   Jon I, 2019, RESILIENCE-ABINGDON, V7, P107, DOI 10.1080/21693293.2018.1461481
   Kita SM, 2017, RISK HAZARDS CRISIS, V8, P244, DOI 10.1002/rhc3.12118
   Klenk N, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.475
   Kniveton D, 2015, DISASTERS, V39, pS35, DOI 10.1111/disa.12108
   Lambert SJ, 2019, INT INDIG POLICY J, V10, DOI 10.18584/iipj.2019.10.2.2
   Langill S., 1999, Indigenous knowledge-a resource kit for sustainable development researchers in Dryland Africa
   Leech NL, 2007, SCHOOL PSYCHOL QUART, V22, P557, DOI 10.1037/1045-3830.22.4.557
   Lewis S, 2015, HEALTH PROMOT PRACT, V16, P473, DOI 10.1177/1524839915580941
   Lin PSS, 2020, INT J DISAST RISK RE, V42, DOI 10.1016/j.ijdrr.2019.101339
   López-Marrero T, 2011, ENVIRON URBAN, V23, P229, DOI 10.1177/0956247810396055
   Manrique DR, 2018, ENVIRON SCI POLICY, V85, P90, DOI 10.1016/j.envsci.2018.04.007
   Maskrey A, 2011, ENVIRON HAZARDS-UK, V10, P42, DOI 10.3763/ehaz.2011.0005
   Mavhura E, 2013, INT J DISAST RISK RE, V5, P38, DOI 10.1016/j.ijdrr.2013.07.001
   Mercer J., 2012, ROUTLEDGE HDB HAZARD, P97, DOI 10.4324/9780203844236
   Mercer J, 2010, DISASTERS, V34, P214, DOI 10.1111/j.1467-7717.2009.01126.x
   Mijoni PL, 2009, DISASTER PREV MANAG, V18, P490, DOI 10.1108/09653560911003688
   Miles M. B., 1994, QUALITATIVE DATA ANA
   Mitchell J.K., 2016, J. Extreme Events, V3, DOI [10.1142/S2345737616500032, DOI 10.1142/S2345737616500032]
   MoAIWD, 2017, NAT GUID COMM BAS FL
   Molina F.G. J., 2016, Disaster Governance in Urbanising Asia, P145
   Molina JGJ, 2016, DISAST RISK REDUCT, P247, DOI 10.1007/978-4-431-55078-5_16
   Mwale FD, 2015, INT J DISAST RISK RE, V12, P172, DOI 10.1016/j.ijdrr.2015.01.003
   Mwale F.D., 2014, THESIS
   Mwase W., 2014, Journal of Environment and Earth Science, V4, P87
   Naess LO, 2013, WIRES CLIM CHANGE, V4, P99, DOI 10.1002/wcc.204
   Nguyen H, 2009, NAT DISASTER RES PR, P59
   Ngwese N.M., 2018, SUSTAINABILITY, V10, P1
   Nightingale AJ, 2020, CLIM DEV, V12, P343, DOI 10.1080/17565529.2019.1624495
   Nkomwa EC, 2014, PHYS CHEM EARTH, V67-69, P164, DOI 10.1016/j.pce.2013.10.002
   Nonnecke B., 2018, 2018 IEEE GLOB HUM T, P1, DOI [10.1109/GHTC.2018.8601882, DOI 10.1109/GHTC.2018.8601882]
   Nsanje District Council, 2015, NSANJ DISTR COUNC CO
   Nyong A., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P787, DOI 10.1007/s11027-007-9099-0
   Oliver-Smith A, 2016, ANN ANTHROPL PRACT, V40, P73, DOI 10.1111/napa.12089
   Pasquier U, 2020, ENVIRON SCI POLICY, V103, P50, DOI 10.1016/j.envsci.2019.10.016
   Persson ES, 2016, J CONTING CRISIS MAN, V24, P253, DOI 10.1111/1468-5973.12121
   Peterson B.L., 2017, The International Encyclopedia of Communication Research Methods, P1, DOI [DOI 10.1002/9781118901731.IECRM0249, 10.1002/9781118901731.IECRM0249, 10.1002/9781118901731.iecrm0249]
   Plotz RD, 2017, J APPL METEOROL CLIM, V56, P2377, DOI 10.1175/JAMC-D-17-0012.1
   Pottier J., 2003, NEGOTIATING LOCAL KN, P1
   Rudari R, 2016, E3S WEB CONF, V7, DOI 10.1051/e3sconf/20160704015
   Salite D, 2019, NAT HAZARDS, V96, P1289, DOI 10.1007/s11069-019-03613-4
   Santha SD, 2014, ACTION RES-LONDON, V12, P273, DOI 10.1177/1476750314532504
   Shaw R, 2009, NAT DISASTER RES PR, P1
   Shela O. N., 2008, ANAL LOWER SHIRE FLO
   Swanborn P, 2010, CASE STUDY RES WHAT, DOI 10.4135/9781526485168
   Takeuchi Y, 2009, NAT DISASTER RES PR, P283
   Taylor FE, 2020, LANDSCAPE URBAN PLAN, V198, DOI 10.1016/j.landurbplan.2020.103771
   Titz A, 2018, SOCIETIES, V8, DOI 10.3390/soc8030071
   Tozier de la Poterie A, 2015, INT J DISAST RISK SC, V6, P128, DOI 10.1007/s13753-015-0053-6
   Tran P, 2009, DISASTERS, V33, P152, DOI 10.1111/j.1467-7717.2008.01067.x
   Trogrlic RS, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11061681
   Trogrlic RS, 2018, ENVIRON HAZARDS-UK, V17, P107, DOI 10.1080/17477891.2017.1381582
   Twigg J., 2015, Disaster Risk Reduction
   UNFCCC, 2015, PAR AGR
   Van Niekerk Dewald., 2018, HDB DISASTER RES, VSecond, P411, DOI [DOI 10.1007/978-3-319-63254-4_20, DOI 10.1007/978-3-319-63254-420]
   WMO, 2017, INT FLOOD RISK MAN T
   Yin R. K., 2009, CASE STUDY RES DESIG
NR 105
TC 23
Z9 23
U1 4
U2 25
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD MAY
PY 2021
VL 58
AR 102196
DI 10.1016/j.ijdrr.2021.102196
EA APR 2021
PG 10
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA SB0RZ
UT WOS:000649711900004
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Das, S
   Baumgartner, JB
   Esperon-Rodriguez, M
   Wilson, PD
   Yap, JYS
   Rossetto, M
   Beaumont, LJ
AF Das, Sourav
   Baumgartner, John B.
   Esperon-Rodriguez, Manuel
   Wilson, Peter D.
   Yap, Jia-Yee S.
   Rossetto, Maurizio
   Beaumont, Linda J.
TI Identifying climate refugia for 30 Australian rainforest plant species,
   from the last glacial maximum to 2070
SO LANDSCAPE ECOLOGY
LA English
DT Article
DE Climate change; Habitat suitability models; In situ refugia; Maxent;
   Refugial hotspots
ID DISTRIBUTION MODELS; FLORISTIC EXCHANGE; RANGE SHIFTS; GENETIC
   DIVERSITY; BIODIVERSITY; DISPERSAL; THRESHOLDS; ACCURACY; DYNAMICS;
   PATTERNS
AB Context Climate refugia-areas that remain suitable for species during periods of climate disruption-have played an important role in species persistence over time. Identifying and protecting these refugia is a key climate change adaptation approach for conservation planning. Objectives To identify climate refugia for Australian tropical/sub-tropical rainforest flora, from the Last Glacial Maximum to 2070. Methods Habitat suitability models were calibrated for 30 species using Maxent, and projected onto climate data for: Last Glacial Maximum (LGM, similar to 22,000 ybp); mid-Holocene (MH, similar to 6000 ybp); current period; and 2070. The intersection of suitable habitat over consecutive periods was assessed, identifying: current refugia (LGM-MH-Current); future refugia (Current-Future); and High Value Refugia (HVR, suitable over all four periods). Refugial hotspots (regions suitable for at least 15 species) were also identified. Results Suitable habitat was generally projected to span the greatest area in the current period. Four current refugial hotspots were identified: Wet Tropics, Central Mackay Coast, South Eastern Queensland, and North Coast (New South Wales). While suitable habitat for most species may decline in the future, HVRs will likely be retained for all species to at least 2070, although restricted in size. Future refugia was also projected in areas beyond species' dispersal ranges. Conclusions HVRs are highly important for the conservation of these rainforest species, given their generation times, limited dispersal capabilities and additional anthropogenic barriers to movement. This study assists in understanding long-term spatial shifts in rainforest flora in response to climate change and in designing future conservation strategies.
C1 [Das, Sourav; Baumgartner, John B.; Esperon-Rodriguez, Manuel; Wilson, Peter D.; Beaumont, Linda J.] Macquarie Univ, Dept Biol Sci, Macquarie Pk, NSW, Australia.
   [Das, Sourav] Shahjalal Univ Sci & Technol, Dept Forestry & Environm Sci, Sylhet 3114, Bangladesh.
   [Esperon-Rodriguez, Manuel] Western Sydney Univ, Hawkesbury Inst Environm, Locked Bag 1797, Penrith, NSW 2751, Australia.
   [Wilson, Peter D.; Yap, Jia-Yee S.; Rossetto, Maurizio] Royal Bot Garden & Domain Trust, Natl Herbarium NSW, Sydney, NSW 2000, Australia.
   [Yap, Jia-Yee S.; Rossetto, Maurizio] Univ Queensland, Queensland Alliance Agr & Food Innovat, Brisbane, Qld 4072, Australia.
C3 Macquarie University; Shahjalal University of Science & Technology
   (SUST); Western Sydney University; University of Queensland
RP Das, S (corresponding author), Shahjalal Univ Sci & Technol, Dept Forestry & Environm Sci, Sylhet 3114, Bangladesh.
EM sourav.das@students.mq.edu.au
RI Baumgartner, John/S-9047-2017; Yap, Jia Ying Celeste/HLQ-3714-2023;
   Esperon-Rodriguez, Manuel/H-3668-2019; Beaumont, Linda/D-5499-2012
OI Esperon-Rodriguez, Manuel/0000-0003-3649-2134; Baumgartner,
   John/0000-0002-8898-0300; Das, Sourav/0000-0001-7081-0090; Wilson,
   Peter/0000-0001-7375-0791; Beaumont, Linda/0000-0001-6307-1680
FU Macquarie University International Research Training Program (Master of
   Research) scholarship
FX Thanks to Dr D Nipperess and Dr Md M Haque for their valuable comments
   on this research paper. We also thank Dr RM Kooyman for feedback on
   model output, and Dr K Williams for discussions on the use of soil
   variables. This research was funded by the Macquarie University
   International Research Training Program (Master of Research)
   scholarship.
CR Abbott RJ, 2000, SCIENCE, V289, P1343, DOI 10.1126/science.289.5483.1343
   Adam P., 1992, Australian Rainforests
   Allouche O, 2006, J APPL ECOL, V43, P1223, DOI 10.1111/j.1365-2664.2006.01214.x
   Alsos IG, 2009, GLOBAL ECOL BIOGEOGR, V18, P223, DOI 10.1111/j.1466-8238.2008.00439.x
   [Anonymous], 2012, INT BIOG REG AUSTR I
   [Anonymous], 2015, CSIRO BUREAU METEORO
   [Anonymous], 2014, LANG ENV STAT COMP
   [Anonymous], 2011, ANUCLIM Version 6.1 User Guide
   Ashcroft MB, 2010, J BIOGEOGR, V37, P1407, DOI 10.1111/j.1365-2699.2010.02300.x
   Assis J, 2016, J BIOGEOGR, V43, P833, DOI 10.1111/jbi.12677
   Baumgartner J., 2017, Rmaxent: tools for working with Maxent in R. R package version 0.4.1.9000
   Bennett KD, 2008, QUATERNARY SCI REV, V27, P2449, DOI 10.1016/j.quascirev.2008.08.019
   Borchert R, 1998, POTENTIAL IMPACTS CL, P241
   BOWLER JM, 1976, QUATERNARY RES, V6, P359, DOI 10.1016/0033-5894(67)90003-8
   Brito PH, 2005, MOL ECOL, V14, P3077, DOI 10.1111/j.1365-294X.2005.02663.x
   Chen IC, 2011, SCIENCE, V333, P1024, DOI 10.1126/science.1206432
   Costion CM, 2015, DIVERS DISTRIB, V21, P279, DOI 10.1111/ddi.12266
   Crayn DM, 2015, J BIOGEOGR, V42, P11, DOI 10.1111/jbi.12405
   Dobrowski SZ, 2011, GLOBAL CHANGE BIOL, V17, P1022, DOI 10.1111/j.1365-2486.2010.02263.x
   Dodson JR, 1997, QUATERN INT, V37, P89, DOI 10.1016/1040-6182(96)00007-9
   Dunstan CE, 1996, J BIOGEOGR, V23, P187, DOI 10.1046/j.1365-2699.1996.d01-220.x
   Elith J, 2010, METHODS ECOL EVOL, V1, P330, DOI 10.1111/j.2041-210X.2010.00036.x
   Fahey M, 2019, HEREDITY, V123, P532, DOI 10.1038/s41437-019-0243-x
   Franklin J, 2010, Mapping species distributions, DOI [DOI 10.1017/CBO9780511810602, 10.1017/CBO9780511810602]
   Franks SJ, 2012, ANNU REV GENET, V46, P185, DOI 10.1146/annurev-genet-110711-155511
   Gavin DG, 2014, NEW PHYTOL, V204, P37, DOI 10.1111/nph.12929
   Graham V., 2019, Journal of Environmental Planning and Management, V62, P2588, DOI 10.1080/09640568.2019.1573722
   Hageer Y, 2017, PEERJ, V5, DOI 10.7717/peerj.3446
   Hampe A, 2013, NEW PHYTOL, V197, P16, DOI 10.1111/nph.12059
   Haque MM, 2017, AUSTRAL ECOL, V42, P690, DOI 10.1111/aec.12487
   Hewitt G, 2000, NATURE, V405, P907, DOI 10.1038/35016000
   Hewitt GM, 2004, PHILOS T R SOC B, V359, P183, DOI 10.1098/rstb.2003.1388
   Hopkins MS, 1996, J BIOGEOGR, V23, P737, DOI 10.1111/j.1365-2699.1996.tb00035.x
   Hulme M., 1994, Global precipitations and climate change, P387
   Ikeda DH, 2017, GLOBAL CHANGE BIOL, V23, P164, DOI 10.1111/gcb.13470
   John R, 2007, P NATL ACAD SCI USA, V104, P864, DOI 10.1073/pnas.0604666104
   Karl TR, 2003, SCIENCE, V302, P1719, DOI 10.1126/science.1090228
   Keith D. A., 2017, AUSTR VEGETATION
   Keppel G, 2012, GLOBAL CHANGE BIOL, V18, P2389, DOI 10.1111/j.1365-2486.2012.02729.x
   Keppel G, 2012, GLOBAL ECOL BIOGEOGR, V21, P393, DOI 10.1111/j.1466-8238.2011.00686.x
   Kershaw AP, 2007, PALAEOGEOGR PALAEOCL, V251, P23, DOI 10.1016/j.palaeo.2007.02.015
   KERSHAW AP, 1988, J BIOGEOGR, V15, P589, DOI 10.2307/2845438
   Kooyman R, 2011, GLOBAL ECOL BIOGEOGR, V20, P707, DOI 10.1111/j.1466-8238.2010.00641.x
   Kooyman RM, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0080685
   Liu CR, 2016, ECOL EVOL, V6, P337, DOI 10.1002/ece3.1878
   Liu CR, 2013, J BIOGEOGR, V40, P778, DOI 10.1111/jbi.12058
   McCallum KP, 2014, AUSTRAL ECOL, V39, P17, DOI 10.1111/aec.12041
   Médail F, 2009, J BIOGEOGR, V36, P1333, DOI 10.1111/j.1365-2699.2008.02051.x
   Mellick R, 2012, J BIOGEOGR, V39, P2292, DOI 10.1111/j.1365-2699.2012.02747.x
   Metcalfe DJ, 2017, AUSTRALIAN VEGETATION, 3RD EDITION, P257
   Minden V, 2010, APPL VEG SCI, V13, P5, DOI 10.1111/j.1654-109X.2009.01056.x
   Mokany K, 2017, J BIOGEOGR, V44, P1537, DOI 10.1111/jbi.12927
   Moritz C, 2009, P ROY SOC B-BIOL SCI, V276, P1235, DOI 10.1098/rspb.2008.1622
   Pecl GT, 2017, SCIENCE, V355, DOI 10.1126/science.aai9214
   Pethierick L, 2008, J QUATERNARY SCI, V23, P787, DOI 10.1002/jqs.1186
   Phillips SJ, 2006, ECOL MODEL, V190, P231, DOI 10.1016/j.ecolmodel.2005.03.026
   Provan J, 2008, TRENDS ECOL EVOL, V23, P564, DOI 10.1016/j.tree.2008.06.010
   Reside AE, 2014, AUSTRAL ECOL, V39, P887, DOI 10.1111/aec.12146
   Rossetto M, 2005, J ECOL, V93, P906, DOI 10.1111/j.1365-2745.2005.01046.x
   Rossetto M, 2009, MOL ECOL, V18, P1422, DOI 10.1111/j.1365-294X.2009.04111.x
   Rossetto M, 2008, AM J BOT, V95, P321, DOI 10.3732/ajb.95.3.321
   Rossetto M, 2015, P ROY SOC B-BIOL SCI, V282, DOI 10.1098/rspb.2015.1998
   Rossetto M, 2015, J BIOGEOGR, V42, P2172, DOI 10.1111/jbi.12571
   Shabani F, 2016, ECOL EVOL, V6, P5973, DOI 10.1002/ece3.2332
   Sniderman JMK, 2011, J BIOGEOGR, V38, P1445, DOI 10.1111/j.1365-2699.2011.02519.x
   Sollins P, 1998, ECOLOGY, V79, P23, DOI 10.1890/0012-9658(1998)079[0023:FISCIT]2.0.CO;2
   SWETS JA, 1988, SCIENCE, V240, P1285, DOI 10.1126/science.3287615
   Tzedakis PC, 2013, TRENDS ECOL EVOL, V28, P696, DOI 10.1016/j.tree.2013.09.001
   VanDerWal J, 2009, J BIOGEOGR, V36, P291, DOI 10.1111/j.1365-2699.2008.01993.x
   VanDerWal J, 2009, ECOL MODEL, V220, P589, DOI 10.1016/j.ecolmodel.2008.11.010
   Vellend M, 2005, ECOL LETT, V8, P767, DOI 10.1111/j.1461-0248.2005.00775.x
   Vleminckx J, 2015, J VEG SCI, V26, P134, DOI 10.1111/jvs.12209
   Walker J., 1984, Australian Soil and Land Survey Handbook
   Wallace J, 2012, J HYDROL, V475, P84, DOI 10.1016/j.jhydrol.2012.09.032
   WEBB LJ, 1984, AUST J ECOL, V9, P169, DOI 10.1111/j.1442-9993.1984.tb01356.x
   Williams SE, 1997, P ROY SOC B-BIOL SCI, V264, P709, DOI 10.1098/rspb.1997.0101
   Willis KJ, 2006, SCIENCE, V314, P1261, DOI 10.1126/science.1122667
   Willis KJ, 2011, ANNU REV ECOL EVOL S, V42, P267, DOI 10.1146/annurev-ecolsys-102209-144704
   Yap JYS, 2018, J BIOGEOGR, V45, P838, DOI 10.1111/jbi.13143
   Zhang MG, 2016, SCI REP-UK, V6, DOI 10.1038/srep22400
   Zhou WW, 2013, MOL ECOL, V22, P130, DOI 10.1111/mec.12087
NR 81
TC 16
Z9 16
U1 2
U2 39
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0921-2973
EI 1572-9761
J9 LANDSCAPE ECOL
JI Landsc. Ecol.
PD DEC
PY 2019
VL 34
IS 12
BP 2883
EP 2896
DI 10.1007/s10980-019-00924-6
EA NOV 2019
PG 14
WC Ecology; Geography, Physical; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Physical Geography; Geology
GA JP8DW
UT WOS:000495235500001
DA 2025-01-10
ER

PT J
AU Zhang, Q
   Cui, FQ
   Dai, LW
   Feng, B
   Lu, YJ
   Tang, HP
AF Zhang, Qin
   Cui, Fengqi
   Dai, Luwei
   Feng, Bing
   Lu, Yunjing
   Tang, Haiping
TI Pastoralists' perception of and adaptation strategies for climate
   change: associations with observed climate variability
SO NATURAL HAZARDS
LA English
DT Article
DE Adaptation barriers; Livelihood capital; SPEI index; Pastoral households
ID HOUSEHOLD-LEVEL; CHANGE VULNERABILITY; FARMERS PERCEPTIONS; ADAPTIVE
   CAPACITY; RISK; BARRIERS; DETERMINANTS; FRAMEWORK; COMMUNITIES;
   LIVELIHOODS
AB Although climate change is a universal phenomenon, its indicators and manifestations are entirely local, as are adaptation choices, strategies, and practices. Based on face-to-face interview data from 427 randomly selected pastoral households of the Hulun Buir grassland in northern China, this study investigated perceptions and impacts of historical climate change and the associations of these perceptions with observed climate change. Meanwhile, we identified pastoralists' responses to climate change, as well as barriers to the adaptation process. We used binary logistic regression models to determine the factors that influence climate change adaptation strategies. The results show that pastoralists' perception of the inter-annual variability in climate variables is relatively consistent with the observed meteorological data. Pastoralists' adaptive strategies for climate variability comprise primarily livestock and pasture management interventions, such as purchasing fodder, reducing livestock, part-time grazing, and renting pasture. In addition, pastoralists identified several barriers that are allied with adaptation practices, such as limited grassland tenure, an absence of credit, and limited access to agricultural markets. Furthermore, the sex, age, and education level of the head of household and the household livelihood capital and location were found to be the key factors determining the choice of adaptation strategies. This knowledge helps to assess the needs for action and information and to improve the credibility of policies that shape collective actions based on a unified plan or goal. Combined, these efforts aid in adaptation to reduce the vulnerability of the livestock sector, especially the livelihood security of smallholder pastoralists in grassland ecosystems.
C1 [Zhang, Qin; Cui, Fengqi; Dai, Luwei; Feng, Bing; Lu, Yunjing; Tang, Haiping] Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, 19 Xinjiekouwai St, Beijing, Peoples R China.
C3 Beijing Normal University
RP Tang, HP (corresponding author), Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, 19 Xinjiekouwai St, Beijing, Peoples R China.
EM zhangqinbz@163.com; zhcuifengqi@163.com; 1006511161@qq.com;
   1094955094@qq.com; 782184995@qq.com; tanghp@bnu.edu.cn
RI qin, zhang/JNT-2664-2023; Dai, Luwei/IQR-4342-2023; tang,
   haiping/GYV-4206-2022
OI Zhang, Qin/0000-0001-6568-7286
FU National Key R&D Program of China [2016YFC0500608-3]; State Key
   Laboratory of Earth Surface Processes and Resource Ecology [2017-KF-20]
FX The study was jointly funded by the National Key R&D Program of China
   (Grant No. 2016YFC0500608-3) and the State Key Laboratory of Earth
   Surface Processes and Resource Ecology (Grant No. 2017-KF-20). We are
   grateful to the local governments of Hulun Buir for providing valuable
   data and help with our fieldwork. Additionally, the authors also extend
   great gratitude to the anonymous reviewers and editors for their helpful
   review and critical comments.
CR Abid M, 2019, ENVIRON MANAGE, V63, P110, DOI 10.1007/s00267-018-1113-7
   Adger W.N., 2004, New indicators of vulnerability and adaptive capacity
   Adger WN, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P717
   Adger WN, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P1, DOI 10.1017/CBO9780511596667.002
   Agrawal A, 2010, NEW FRONT SOC POLICY, P173
   [Anonymous], 2007, HUMAN DEV REPORT 200
   Arunrat N, 2017, J CLEAN PROD, V143, P672, DOI 10.1016/j.jclepro.2016.12.058
   Bai YF, 2008, ECOLOGY, V89, P2140, DOI 10.1890/07-0992.1
   Below TB, 2015, REG ENVIRON CHANGE, V15, P1169, DOI 10.1007/s10113-014-0620-1
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   Berkes F, 2009, FUTURES, V41, P6, DOI 10.1016/j.futures.2008.07.003
   Biesbroek GR, 2014, GLOBAL ENVIRON CHANG, V26, P108, DOI 10.1016/j.gloenvcha.2014.04.004
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Bryant CR, 2000, CLIMATIC CHANGE, V45, P181, DOI 10.1023/A:1005653320241
   Chazdon RL, 2017, CONSERV LETT, V10, P125, DOI 10.1111/conl.12220
   Cooper PJM, 2008, AGR ECOSYST ENVIRON, V126, P24, DOI 10.1016/j.agee.2008.01.007
   D'Ottavio P, 2018, GRASS FORAGE SCI, V73, P15, DOI 10.1111/gfs.12299
   Dai A, 2004, J HYDROMETEOROL, V5, P1117, DOI 10.1175/JHM-386.1
   Deressa T. T., 2009, Global Environmental Change, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Deressa TT, 2011, J AGR SCI-CAMBRIDGE, V149, P23, DOI 10.1017/S0021859610000687
   Devkota RP, 2017, CLIMATIC CHANGE, V140, P1
   Ellis F., 2000, RURAL LIVELIHOODS DI, DOI DOI 10.1093/OSO/9780198296959.001.0001
   Eriksen S, 2011, CLIM DEV, V3, P7, DOI 10.3763/cdev.2010.0060
   Field A., 2013, DISCOVERING STAT USI, V4th ed.
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fu Congbin, 2008, Chinese Journal of Atmospheric Sciences, V32, P752
   Furberg M, 2018, POPUL ENVIRON, V40, P47, DOI 10.1007/s11111-018-0302-x
   Giannakopoulos C, 2009, GLOBAL PLANET CHANGE, V68, P209, DOI 10.1016/j.gloplacha.2009.06.001
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Guo S., 2012, J. Risk Anal. Crisis Response, V2, P124, DOI [10.2991/jracr.2012.2.2.5, DOI 10.2991/JRACR.2012.2.2.5]
   Hahn MB, 2009, GLOBAL ENVIRON CHANG, V19, P74, DOI 10.1016/j.gloenvcha.2008.11.002
   Hamed KH, 1998, J HYDROL, V204, P182, DOI 10.1016/S0022-1694(97)00125-X
   Howe PD, 2013, GLOBAL ENVIRON CHANG, V23, P1488, DOI 10.1016/j.gloenvcha.2013.09.014
   Islam MM, 2014, MAR POLICY, V43, P208, DOI 10.1016/j.marpol.2013.06.007
   Jakobsen K, 2013, REG ENVIRON CHANGE, V13, P219, DOI 10.1007/s10113-012-0320-7
   Kalafatis SE, 2015, GLOBAL ENVIRON CHANG, V32, P30, DOI 10.1016/j.gloenvcha.2015.02.007
   Liao C, 2014, RISK ANAL, V34, P640, DOI 10.1111/risa.12146
   Lioubimtseva E, 2015, ENVIRON EARTH SCI, V73, P719, DOI 10.1007/s12665-014-3104-1
   马柱国, 2007, [中国科学. D辑, 地球科学, Science in China,Series D:Earth Sciences], V37, P222
   Manandhar S, 2012, CLIM RES, V54, P167, DOI 10.3354/cr01108
   Morton JF, 2007, P NATL ACAD SCI USA, V104, P19680, DOI 10.1073/pnas.0701855104
   Moser CON, 1998, WORLD DEV, V26, P1, DOI 10.1016/S0305-750X(97)10015-8
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Ndamani F, 2016, SCI AGR, V73, P201
   Ndamani F, 2015, WATER-SUI, V7, P4593, DOI 10.3390/w7094593
   Nelson R, 2010, ENVIRON SCI POLICY, V13, P18, DOI 10.1016/j.envsci.2009.09.007
   Nielsen JO, 2010, GLOBAL ENVIRON CHANG, V20, P142, DOI 10.1016/j.gloenvcha.2009.10.002
   Niles MT, 2013, GLOBAL ENVIRON CHANG, V23, P1752, DOI 10.1016/j.gloenvcha.2013.08.005
   O'Brien K, 2006, AMBIO, V35, P50, DOI 10.1579/0044-7447(2006)35[50:QCCCIV]2.0.CO;2
   O'Brien K, 2007, CLIM POLICY, V7, P73, DOI 10.1080/14693062.2007.9685639
   Paavola J, 2008, ENVIRON SCI POLICY, V11, P642, DOI 10.1016/j.envsci.2008.06.002
   Pandey R, 2018, ECOL INDIC, V90, P379, DOI 10.1016/j.ecolind.2018.03.031
   Pandey R, 2018, ECOL INDIC, V84, P27, DOI 10.1016/j.ecolind.2017.08.021
   Pandey R, 2017, ECOL INDIC, V79, P338, DOI 10.1016/j.ecolind.2017.03.047
   Pandey R, 2012, MITIG ADAPT STRAT GL, V17, P487, DOI 10.1007/s11027-011-9338-2
   Park SE, 2012, GLOBAL ENVIRON CHANG, V22, P115, DOI 10.1016/j.gloenvcha.2011.10.003
   Patt AG, 2008, GLOBAL ENVIRON CHANG, V18, P458, DOI 10.1016/j.gloenvcha.2008.04.002
   Petley D, 2012, GEOLOGY, V40, P927, DOI 10.1130/G33217.1
   Piya L, 2013, REG ENVIRON CHANGE, V13, P437, DOI 10.1007/s10113-012-0359-5
   Rao KPC, 2011, EXP AGR, V47, P267, DOI 10.1017/S0014479710000918
   Reid H, 2009, ENV SCI POLICY SUSTA, V51, P22
   Rodima-Taylor D, 2012, APPL GEOGR, V33, P107, DOI 10.1016/j.apgeog.2011.10.011
   Seastedt TR, 2011, ANNU REV ECOL EVOL S, V42, P133, DOI 10.1146/annurev-ecolsys-102710-145057
   Seo SN, 2010, ECOL ECON, V69, P2486, DOI 10.1016/j.ecolecon.2010.07.025
   Shah AA, 2017, NAT HAZARDS, V88, P415, DOI 10.1007/s11069-017-2872-9
   Slovic P., 1982, Risk Analysis, V2, P83, DOI [https://doi.org/10.1111/j.1539-6924.1982.tb01369.x, DOI 10.1111/J.1539-6924.1982.TB01369.X]
   Smadi M. M., 2006, American Journal of Environmental Sciences, V2, P84, DOI 10.3844/ajessp.2006.84.91
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Thaler RH, 1999, J BEHAV DECIS MAKING, V12, P183, DOI 10.1002/(SICI)1099-0771(199909)12:3<183::AID-BDM318>3.0.CO;2-F
   Nguyen TPL, 2016, AGR SYST, V143, P205, DOI 10.1016/j.agsy.2016.01.001
   Tucker CM, 2010, GLOBAL ENVIRON CHANG, V20, P23, DOI 10.1016/j.gloenvcha.2009.07.006
   Vicente-Serrano SM, 2010, J HYDROMETEOROL, V11, P1033, DOI 10.1175/2010JHM1224.1
   Vicente-Serrano SM, 2013, P NATL ACAD SCI USA, V110, P52, DOI 10.1073/pnas.1207068110
   Wang X. Y., 2013, J. China Agric. Univ, V30, P18, DOI [10.13240/j.cnki.caujsse.2013.01.004, DOI 10.13240/J.CNKI.CAUJSSE.2013.01.004]
   Wardekker JA, 2009, GLOBAL ENVIRON CHANG, V19, P512, DOI 10.1016/j.gloenvcha.2009.07.008
   Weber EU, 2010, WIRES CLIM CHANGE, V1, P332, DOI 10.1002/wcc.41
   Wheeler S, 2013, GLOBAL ENVIRON CHANG, V23, P537, DOI 10.1016/j.gloenvcha.2012.11.008
   Wolf J, 2010, GLOBAL ENVIRON CHANG, V20, P44, DOI 10.1016/j.gloenvcha.2009.09.004
   Zhang Q, 2018, CLIM DEV
   Zhang Q, 2017, GLOBAL PLANET CHANGE, V152, P1, DOI 10.1016/j.gloplacha.2017.02.008
NR 80
TC 6
Z9 8
U1 2
U2 36
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0921-030X
EI 1573-0840
J9 NAT HAZARDS
JI Nat. Hazards
PD APR
PY 2019
VL 96
IS 3
BP 1387
EP 1412
DI 10.1007/s11069-019-03620-5
PG 26
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA IJ2CI
UT WOS:000475705400018
DA 2025-01-10
ER

PT J
AU Lazenby, MJ
   Todd, MC
   Chadwick, R
   Wang, Y
AF Lazenby, Melissa J.
   Todd, Martin C.
   Chadwick, Robin
   Wang, Yi
TI Future Precipitation Projections over Central and Southern Africa and
   the Adjacent Indian Ocean: What Causes the Changes and the Uncertainty?
SO JOURNAL OF CLIMATE
LA English
DT Article
DE Tropics; Dynamics; Precipitation; Climate change; Thermodynamics;
   Climate models
ID SEA WARMING CONTRAST; SST DIPOLE EVENTS; EL-NINO; EXTREME PRECIPITATION;
   HYDROLOGICAL CYCLE; CONVERGENCE ZONE; CLIMATE; RAINFALL; CIRCULATION;
   ROBUST
AB Future projections of precipitation at regional scales are vital to inform climate change adaptation activities. Therefore, is it important to quantify projected changes and associated uncertainty, and understand model processes responsible. This paper addresses these challenges for southern Africa and the adjacent Indian Ocean focusing on the local wet season. Precipitation projections for the end of the twenty-first century indicate a pronounced dipole pattern in the CMIP5 multimodel mean. The dipole indicates future wetting (drying) to the north (south) of the climatological axis of maximum rainfall, implying a northward shift of the ITCZ and south Indian Ocean convergence zone that is not consistent with a simple wet get wetter pattern. This pattern is most pronounced in early austral summer, suggesting a later and shorter wet season over much of southern Africa. Using a decomposition method we determine physical mechanisms underlying this dipole pattern of projected change, and the associated intermodel uncertainty. The projected dipole pattern is largely associated with the dynamical component of change indicative of shifts in the location of convection. Over the Indian Ocean, this apparent northward shift in the ITCZ may reflect the response to changes in the north-south SST gradient over the Indian Ocean, consistent with a warmest get wetter mechanism. Over land subtropical drying is relatively robust, particularly in the early wet season. This has contributions from dynamical shifts in the location of convection, which may be related to regional SST structures in the southern Indian Ocean, and the thermodynamic decline in relative humidity. Implications for understanding and potentially constraining uncertainty in projections are discussed.
C1 [Lazenby, Melissa J.; Todd, Martin C.; Wang, Yi] Univ Sussex, Dept Geog, Brighton, E Sussex, England.
   [Chadwick, Robin] Met Off Hadley Ctr, Exeter, Devon, England.
C3 University of Sussex; Met Office - UK; Hadley Centre
RP Lazenby, MJ (corresponding author), Univ Sussex, Dept Geog, Brighton, E Sussex, England.
EM m.lazenby@sussex.ac.uk
RI ; Wang, Yi/F-2689-2011
OI Lazenby, Melissa/0000-0001-7949-1401; Wang, Yi/0000-0002-3984-3879
FU Peter Carpenter Scholarship for African Climate Change at the University
   of Sussex; Future Climate for Africa (FCFA) regional consortium project
   UMFULA - NERC [NE/M020258/1]; Future Climate for Africa (FCFA) regional
   consortium project UMFULA - U.K. government's Department for
   International Development (DfID); NERC [NE/R014272/1, NE/M008266/1,
   NE/M008584/1, NE/L001780/1, NE/M020258/1, NE/M008347/1, NE/M008207/1,
   NE/M008592/1, NE/M008576/1, NE/M008932/1] Funding Source: UKRI
FX This work was supported financially by the Peter Carpenter Scholarship
   for African Climate Change at the University of Sussex and the Future
   Climate for Africa (FCFA) regional consortium project UMFULA funded by
   NERC (Grant NE/M020258/1) and the U.K. government's Department for
   International Development (DfID). We also acknowledge the World Climate
   Research Programme's Working Group on Coupled Modelling responsible for
   CMIP5 model data, which was provided by the Program for Climate Model
   Diagnosis and Intercomparison (PCMDI). More information on this model
   data can be found at the PCMDI website (https://pcmdi.llnl.gov/).
CR Ackerman AS, 2000, SCIENCE, V288, P1042, DOI 10.1126/science.288.5468.1042
   Allen CD, 2010, FOREST ECOL MANAG, V259, P660, DOI 10.1016/j.foreco.2009.09.001
   [Anonymous], 2009, Trans. Am. Geophys. Union, DOI DOI 10.1029/2009EO130003
   [Anonymous], 2006, Climate change and Africa
   [Anonymous], 2012, 6193 WORLD BANK
   [Anonymous], 2014, CLIMATE CHANGE 2014, V80, P1
   [Anonymous], 2007, CLIM CHANG 2013 PHYS
   Archer ERM, 2017, CLIM RISK MANAG, V16, P22, DOI 10.1016/j.crm.2017.03.006
   Baudoin MA, 2017, INT J DISAST RISK RE, V23, P128, DOI 10.1016/j.ijdrr.2017.05.005
   Bayr T, 2013, J CLIMATE, V26, P1387, DOI 10.1175/JCLI-D-11-00731.1
   Behera SK, 2001, GEOPHYS RES LETT, V28, P327, DOI 10.1029/2000GL011451
   Bony S, 2013, NAT GEOSCI, V6, P447, DOI [10.1038/ngeo1799, 10.1038/NGEO1799]
   Byrne MP, 2013, GEOPHYS RES LETT, V40, P5223, DOI 10.1002/grl.50971
   Chadwick R, 2016, J CLIMATE, V29, P2493, DOI 10.1175/JCLI-D-15-0777.1
   Chadwick R, 2013, J CLIMATE, V26, P3803, DOI 10.1175/JCLI-D-12-00543.1
   Chou C, 2004, J CLIMATE, V17, P2688, DOI 10.1175/1520-0442(2004)017<2688:MOGWIO>2.0.CO;2
   Chou C, 2009, J CLIMATE, V22, P1982, DOI 10.1175/2008JCLI2471.1
   Christensen JH, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1217
   Collins M, 2012, NAT CLIM CHANGE, V2, P403, DOI 10.1038/NCLIMATE1414
   Cook C, 2004, CLIM RES, V26, P17, DOI 10.3354/cr026017
   Cook KH, 2000, J CLIMATE, V13, P3789, DOI 10.1175/1520-0442(2000)013<3789:TSICZA>2.0.CO;2
   Cook KH, 2001, J ATMOS SCI, V58, P2146, DOI 10.1175/1520-0469(2001)058<2146:ASHWRT>2.0.CO;2
   DiNezio PN, 2013, J CLIMATE, V26, P4038, DOI 10.1175/JCLI-D-12-00531.1
   Dong BW, 2009, J CLIMATE, V22, P3079, DOI 10.1175/2009JCLI2652.1
   Emori S, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL023272
   Fasullo JT, 2010, J CLIMATE, V23, P4677, DOI 10.1175/2010JCLI3451.1
   Flato G, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P741
   Goddard L, 1999, J GEOPHYS RES-ATMOS, V104, P19099, DOI 10.1029/1999JD900326
   Hackenbruch J, 2017, CLIMATE, V5, DOI 10.3390/cli5020025
   Hansen J, 1997, J GEOPHYS RES-ATMOS, V102, P6831, DOI 10.1029/96JD03436
   Held IM, 2000, ANNU REV ENERG ENV, V25, P441, DOI 10.1146/annurev.energy.25.1.441
   Held IM, 2006, J CLIMATE, V19, P5686, DOI 10.1175/JCLI3990.1
   Huang P, 2013, NAT GEOSCI, V6, P357, DOI [10.1038/ngeo1792, 10.1038/NGEO1792]
   Huang Y, 2007, J GEOPHYS RES-ATMOS, V112, DOI 10.1029/2006JD007114
   Kent C, 2015, J CLIMATE, V28, P4390, DOI 10.1175/JCLI-D-14-00613.1
   Knutti R, 2013, NAT CLIM CHANGE, V3, P369, DOI [10.1038/nclimate1716, 10.1038/NCLIMATE1716]
   Knutti R, 2010, J CLIMATE, V23, P2739, DOI 10.1175/2009JCLI3361.1
   Kusangaya S, 2014, PHYS CHEM EARTH, V67-69, P47, DOI 10.1016/j.pce.2013.09.014
   Lazenby MJ, 2016, CLIM RES, V68, P59, DOI 10.3354/cr01382
   Lempert RJ, 2007, RISK ANAL, V27, P1009, DOI 10.1111/j.1539-6924.2007.00940.x
   Lohmann U, 2005, ATMOS CHEM PHYS, V5, P715, DOI 10.5194/acp-5-715-2005
   Ma J, 2013, J CLIMATE, V26, P2482, DOI 10.1175/JCLI-D-12-00283.1
   Ma J, 2012, J CLIMATE, V25, P2979, DOI 10.1175/JCLI-D-11-00048.1
   Manhique AJ, 2011, INT J CLIMATOL, V31, P1, DOI 10.1002/joc.2050
   McSweeney CF, 2013, CLIMATIC CHANGE, V119, P617, DOI 10.1007/s10584-013-0781-9
   Meadows ME, 2006, GEOGR RES-AUST, V44, P135, DOI 10.1111/j.1745-5871.2006.00375.x
   Meehl GA, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P747
   Munday C, 2017, J GEOPHYS RES-ATMOS, V122, P861, DOI 10.1002/2016JD025736
   Neelin JD, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2003GL018625
   Niang I, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1199
   Pitman AJ, 2003, INT J CLIMATOL, V23, P479, DOI 10.1002/joc.893
   Ratnam JV, 2014, J CLIMATE, V27, P3802, DOI 10.1175/JCLI-D-13-00431.1
   Reason CJC, 2006, B AM METEOROL SOC, V87, P941, DOI 10.1175/BAMS-87-7-941
   Reason CJC, 2001, GEOPHYS RES LETT, V28, P2225, DOI 10.1029/2000GL012735
   Rowell DP, 2015, J CLIMATE, V28, P9768, DOI 10.1175/JCLI-D-15-0140.1
   Rowell DP, 2013, J CLIMATE, V26, P5397, DOI 10.1175/JCLI-D-12-00761.1
   Rowell DP, 2012, CLIM DYNAM, V39, P1929, DOI 10.1007/s00382-011-1210-2
   Saji NH, 1999, NATURE, V401, P360, DOI 10.1038/43855
   Seager R, 2010, J CLIMATE, V23, P4651, DOI 10.1175/2010JCLI3655.1
   Shepherd TG, 2014, NAT GEOSCI, V7, P703, DOI 10.1038/NGEO2253
   Shongwe ME, 2009, J CLIMATE, V22, P3819, DOI 10.1175/2009JCLI2317.1
   Shongwe ME, 2011, J CLIMATE, V24, P3718, DOI 10.1175/2010JCLI2883.1
   Soden BJ, 2006, J CLIMATE, V19, P3354, DOI [10.1175/JCLI3799.1, 10.1175/JCLI3990.1]
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Vecchi GA, 2006, NATURE, V441, P73, DOI 10.1038/nature04744
   Widlansky MJ, 2013, NAT CLIM CHANGE, V3, P417, DOI [10.1038/nclimate1726, 10.1038/NCLIMATE1726]
   Xie SP, 2010, J CLIMATE, V23, P966, DOI 10.1175/2009JCLI3329.1
NR 67
TC 21
Z9 21
U1 1
U2 22
PU AMER METEOROLOGICAL SOC
PI BOSTON
PA 45 BEACON ST, BOSTON, MA 02108-3693, UNITED STATES
SN 0894-8755
EI 1520-0442
J9 J CLIMATE
JI J. Clim.
PD JUN
PY 2018
VL 31
IS 12
BP 4807
EP 4826
DI 10.1175/JCLI-D-17-0311.1
PG 20
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA GH0CG
UT WOS:000433069000002
OA hybrid, Green Accepted, Green Published
DA 2025-01-10
ER

PT J
AU Roesch-McNally, GE
   Arbuckle, JG
   Tyndall, JC
AF Roesch-McNally, Gabrielle E.
   Arbuckle, J. G.
   Tyndall, John C.
TI Barriers to implementing climate resilient agricultural strategies: The
   case of crop diversification in the US Corn Belt
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Climate change; Farmer decision making; Crop diversification; Path
   dependency; Mixed methods; Multi-level modeling
ID PATH DEPENDENCE; MANAGEMENT PRACTICE; ETHANOL-PRODUCTION; LIVESTOCK
   SYSTEMS; LAND-USE; FARMERS; ADAPTATION; DIVERSITY; ADOPTION;
   VULNERABILITY
AB Cropping system diversity can help build greater agroecosystem resilience by suppressing insect, weed, and disease pressures while also mitigating effects of extreme and more variable weather. Despite the potential benefits of cropping systems diversity, few farmers in the US Corn Belt use diverse rotations. This study examines factors that may influence farmers' decisions to use more diversified crop rotations in the US Corn Belt through a parallel convergent mixed methods approach, using a multi-level analysis of Corn Belt farmer survey data (n = 4,778) and in-depth interviews (n = 159). Analyses were conducted to answer questions regarding what factors influence farmers' use of extended crop rotations in intensive corn-based cropping systems and to explore whether farmers in the Corn Belt might use extended crop rotations in response to climatic changes. Findings suggest that path dependency associated with the intensive corn-based cropping system in the region limits farmers' ability to integrate more diverse crop rotations. However, farmers in more diversified watersheds, those who farm marginal land, and those with livestock are more likely to use extended rotations. Additionally, farmers who currently use more diverse rotations are also more likely to plan to use crop rotations as a climate change adaptation strategy. If more diverse cropping systems are desired to reduce climate risks, in addition to reducing the negative impacts associated with industrial agricultural production, then further efforts must be made to facilitate more diverse crop rotations in the U.S. Corn Belt. This may be achieved by adjusting policy and economic incentives that presently discourage cropping system diversity in the region.
C1 [Roesch-McNally, Gabrielle E.] US Forest Serv, Northwest Reg Climate Hub, Pacific Northwest Res Stn, 3200 SW Jefferson Way, Corvallis, OR 97331 USA.
   [Arbuckle, J. G.] Iowa State Univ, Dept Sociol, 303c East Hall, Ames, IA 50011 USA.
   [Tyndall, John C.] Iowa State Univ, Nat Resource Ecol & Management, 238 Sci 2, Ames, IA 50011 USA.
C3 United States Department of Agriculture (USDA); United States Forest
   Service; Iowa State University; Iowa State University
RP Roesch-McNally, GE (corresponding author), US Forest Serv, Northwest Reg Climate Hub, Pacific Northwest Res Stn, 3200 SW Jefferson Way, Corvallis, OR 97331 USA.
EM groeschmcnally@fs.fed.us; Arbuckle@iastate.edu; jtyndall@iastate.edu
RI Arbuckle, J/P-2151-2016; Tyndall, John/AAR-6189-2021
FU Sustainable Corn and Useful to Useable Project - U.S. Department of
   Agriculture-National Institute of Food and Agriculture
   [2011-68002-30190, 2011-68002-30220]
FX This work was supported by the Sustainable Corn and Useful to Useable
   Project funded by the U.S. Department of Agriculture-National Institute
   of Food and Agriculture [Award No.'s 2011-68002-30190 &
   2011-68002-30220]
CR Aguilar J, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0136580
   [Anonymous], R40152 CRS
   [Anonymous], 2014, Highlights of Climate Change Impacts in the United States: The Third National Climate Assessment
   [Anonymous], 1994, AGR HDB
   [Anonymous], 2007, UPDATE NEW INTERNET
   [Anonymous], 2012, Census of Agriculture
   [Anonymous], 2005, Brokerage and closure: An introduction to social capital
   [Anonymous], EC E J
   [Anonymous], 2012 CENS AGR WAT 6
   [Anonymous], FARM EC REC HIGH AGR
   [Anonymous], 2016, ACR
   Arbuckle JG Jr, 2015, ENVIRON BEHAV, V47, P205, DOI 10.1177/0013916513503832
   Arbuckle JG, 2013, CLIMATIC CHANGE, V117, P943, DOI 10.1007/s10584-013-0707-6
   Bain C, 2013, AGR HUM VALUES, V30, P351, DOI 10.1007/s10460-012-9401-y
   Baumgart-Getz A, 2012, J ENVIRON MANAGE, V96, P17, DOI 10.1016/j.jenvman.2011.10.006
   Blesh J, 2014, AGR HUM VALUES, V31, P621, DOI 10.1007/s10460-014-9517-3
   Bowman MS, 2013, ECOL SOC, V18, DOI 10.5751/ES-05574-180133
   Bradshaw B, 2004, CLIMATIC CHANGE, V67, P119, DOI 10.1007/s10584-004-0710-z
   Brody SD, 2008, ENVIRON BEHAV, V40, P72, DOI 10.1177/0013916506298800
   Broussard W, 2009, FRONT ECOL ENVIRON, V7, P302, DOI 10.1890/080085
   Broussard WP, 2012, AGR ECOSYST ENVIRON, V158, P103, DOI 10.1016/j.agee.2012.05.022
   Burton RJF, 2004, SOCIOL RURALIS, V44, P195, DOI 10.1111/j.1467-9523.2004.00270.x
   Cash DW, 2006, ECOL SOC, V11
   Chhetri NB, 2010, ANN ASSOC AM GEOGR, V100, P894, DOI 10.1080/00045608.2010.500547
   Claassen R.L., 2011, GRASSLAND CROPLAND C
   Clapp J., 2012, Food
   CORBIN J, 1990, Z SOZIOL, V19, P418, DOI 10.1007/BF00988593
   Cowan R, 1996, ECON J, V106, P521, DOI 10.2307/2235561
   Creswell J. W., 2007, Designing and Conducting Mixed Methods Research
   Cutforth L. B., 2001, American Journal of Alternative Agriculture, V16, P168, DOI 10.1017/S0889189300009164
   DAVID PA, 1985, AM ECON REV, V75, P332
   Donner SD, 2008, P NATL ACAD SCI USA, V105, P4513, DOI 10.1073/pnas.0708300105
   Enders CK, 2007, PSYCHOL METHODS, V12, P121, DOI 10.1037/1082-989X.12.2.121
   Fausti SW, 2015, ENVIRON SCI POLICY, V52, P41, DOI 10.1016/j.envsci.2015.04.017
   Gaudin ACM, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0113261
   Geels FW, 2011, ENVIRON INNOV SOC TR, V1, P24, DOI 10.1016/j.eist.2011.02.002
   Gould KA, 2004, ORGAN ENVIRON, V17, P296, DOI 10.1177/1086026604268747
   Gustafson D, 2016, BIOSCIENCE, V66, P80, DOI 10.1093/biosci/biv164
   Hatfield J., 2014, Agriculture. Climate Change Impacts in the United States: The Third National Climate Assessment, P150
   Heberlein TA, 2012, CONSERV BIOL, V26, P583, DOI 10.1111/j.1523-1739.2012.01892.x
   Hofmann DA, 1998, J MANAGE, V24, P623, DOI 10.1177/014920639802400504
   Hunt ND, 2017, ENVIRON SCI TECHNOL, V51, P1707, DOI 10.1021/acs.est.6b04086
   Isbell F, 2017, J ECOL, V105, P871, DOI 10.1111/1365-2745.12789
   King BL, 2012, PLOS ONE, V7, DOI [10.1371/journal.pone.0047149, 10.1371/journal.pone.0047981, 10.1371/journal.pone.0046524]
   Knowler D, 2007, FOOD POLICY, V32, P25, DOI 10.1016/j.foodpol.2006.01.003
   Knutson CL, 2011, RENEW AGR FOOD SYST, V26, P255, DOI 10.1017/S174217051100010X
   Lark TJ, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/4/044003
   Lehman RM, 2015, SUSTAINABILITY-BASEL, V7, P988, DOI 10.3390/su7010988
   Liebman M, 2015, ELEMENTA-SCI ANTHROP, V3, DOI 10.12952/journal.elementa.000041
   Lin BB, 2011, BIOSCIENCE, V61, P183, DOI 10.1525/bio.2011.61.3.4
   Loy A., 2013, Farmer Perspectives on Agriculture and Weather Variability in the Corn Belt: A Statistical Atlas
   MacDonald J.M., 2013, FARM SIZE ORG US CRO
   McGuire J, 2013, AGR HUM VALUES, V30, P57, DOI 10.1007/s10460-012-9381-y
   MORSE JM, 1991, NURS RES, V40, P120
   Morton LW, 2017, J SOIL WATER CONSERV, V72, P215, DOI 10.2489/jswc.72.3.215
   Morton LW, 2015, J ENVIRON QUAL, V44, P810, DOI 10.2134/jeq2014.08.0352
   Mulik K., 2017, ROTATING CROPS TURNI
   Poffenbarger H, 2017, AGR SYST, V157, P51, DOI 10.1016/j.agsy.2017.07.001
   Preston BL, 2013, GLOBAL ENVIRON CHANG, V23, P719, DOI 10.1016/j.gloenvcha.2013.02.009
   Prokopy LS, 2008, J SOIL WATER CONSERV, V63, P300, DOI 10.2489/63.5.300
   Prokopy LS, 2011, J SOIL WATER CONSERV, V66, p9A, DOI 10.2489/jswc.66.1.9A
   Regnier EE, 2016, WEED SCI, V64, P361, DOI 10.1614/WS-D-15-00116.1
   Reidsma P, 2010, EUR J AGRON, V32, P91, DOI 10.1016/j.eja.2009.06.003
   Roesch-McNally G.E., 2017, Rural Sociology
   Roesch-McNally GE, 2018, RENEW AGR FOOD SYST, V33, P322, DOI [10.1017/S1742170517000096, 10.1017/s1742170517000096]
   Roesch-McNally GE, 2017, AGR HUM VALUES, V34, P333, DOI 10.1007/s10460-016-9719-y
   Rogers E., 1995, DIFFUSION OFINNOVATI, V4th
   Rotz S., 2015, Journal of environmental studies and sciences, V5, P459, DOI [DOI 10.1007/S13412-015-0277-1, 10.1007/S13412-015-0277-1/FIGURES/1, DOI 10.1007/S13412-015-0277-1/FIGURES/1]
   Russelle MP, 2007, AGRON J, V99, P325, DOI 10.2134/agronj2006.0139
   Ruttan VW, 1997, ECON J, V107, P1520, DOI 10.1111/1468-0297.00238
   Secchi S, 2008, J SOIL WATER CONSERV, V63, p68A, DOI 10.2489/63.3.68A
   SIMPSON EH, 1949, NATURE, V163, P688, DOI 10.1038/163688a0
   Smith RG, 2008, ECOSYSTEMS, V11, P355, DOI 10.1007/s10021-008-9124-5
   Snjiders T.A. B., 2012, Multilevel analysis: An introduction to basic and advanced multilevel modeling, V2nd
   Strock J., 2014, Understanding water needs of diverse
   Stuart D, 2013, LAND USE POLICY, V31, P223, DOI 10.1016/j.landusepol.2012.07.003
   Vanloqueren G, 2008, ECOL ECON, V66, P436, DOI 10.1016/j.ecolecon.2007.10.007
   Vanloqueren G, 2009, RES POLICY, V38, P971, DOI 10.1016/j.respol.2009.02.008
   Wright CK, 2013, P NATL ACAD SCI USA, V110, P4134, DOI 10.1073/pnas.1215404110
NR 79
TC 130
Z9 159
U1 7
U2 110
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-3780
EI 1872-9495
J9 GLOBAL ENVIRON CHANG
JI Glob. Environ. Change-Human Policy Dimens.
PD JAN
PY 2018
VL 48
BP 206
EP 215
DI 10.1016/j.gloenvcha.2017.12.002
PG 10
WC Environmental Sciences; Environmental Studies; Geography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA GB9MX
UT WOS:000429399000019
OA Green Published
DA 2025-01-10
ER

PT J
AU Feng, AQ
   Li, YZ
   Gao, JB
   Wu, SH
   Feng, AX
AF Feng, Aiqing
   Li, Yanzhong
   Gao, Jiangbo
   Wu, Shaohong
   Feng, Aixia
TI The determinants of streamflow variability and variation in Three-River
   Source of China: climate change or ecological restoration?
SO ENVIRONMENTAL EARTH SCIENCES
LA English
DT Article
DE Streamflow variability and variation; Climate change; Ecological
   restoration; Sensitivity and contribution analysis; Three-River Source
   of China
ID WATER-BALANCE; CHANGE IMPACTS; LAND-USE; PLATEAU; DRIVERS; RUNOFF
AB Exploring the determinant between climate change and ecological restoration for streamflow dynamics is a significant issue in global change research and is essential for restoration policy assessment and climate change adaptation. In this paper, the combination of elasticity method and Budyko framework was applied with the meteorological and hydrological data from 1980 to 2014. The variability and variation of streamflow were explained by individual elasticity coefficient and contribution of climate change and ecological restoration between 1980-1999 and 2000-2014. Results showed that streamflow was more sensitive to climate change in the Yellow River source (YER) than in the Yangtze River source (YZR). Ecological restoration was positively correlated with the variability of streamflow in YER with 7.38% relative change in elasticity coefficients, while it was opposite trend in YZR with a relative change of - 7.41%. However, the impacts of climate change and ecological restoration on the variation of streamflow were not consistent with the variability. In YER, ecological restoration dominated the streamflow reduction with a contribution of 82.43%, whereas, in YZR, climate change mainly contributed to the streamflow increase which could explain 123.72% and the precipitation was the major contributor. By analysis, the difference in two catchments might result from the spatial heterogeneity of precipitation conditions and land use/cover change, especially the conversion of grassland. The results suggest that the implementation of ecological recovery should consider the difference of streamflow change in response to ecological restoration and climate change for the sustainability of water resources.
C1 [Feng, Aiqing] China Meteorol Adm, Natl Climate Ctr, Beijing 100081, Peoples R China.
   [Li, Yanzhong] Nanjing Univ Informat Sci & Technol, Coll Hydrometeorol, Nanjing 210044, Jiangsu, Peoples R China.
   [Gao, Jiangbo; Wu, Shaohong] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China.
   [Feng, Aixia] China Meteorol Adm, Natl Meteorol Informat Ctr, Data Serv Off, Beijing 100081, Peoples R China.
C3 China Meteorological Administration; Nanjing University of Information
   Science & Technology; Chinese Academy of Sciences; Institute of
   Geographic Sciences & Natural Resources Research, CAS; China
   Meteorological Administration
RP Li, YZ (corresponding author), Nanjing Univ Informat Sci & Technol, Coll Hydrometeorol, Nanjing 210044, Jiangsu, Peoples R China.; Gao, JB (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China.
EM liyz_egi@163.com; gaojiangbo@igsnrr.ac.cn
FU National Natural Science Foundation of China [41671098, 4177508,
   41701019]; Clean Development Mechanism Funding Projects of China
   [2013034]
FX This work was supported by the National Natural Science Foundation of
   China (Grant Nos. 41671098, 41775081, 41701019) and the Clean
   Development Mechanism Funding Projects of China (Grant No. 2013034).
   Thank editors and reviewers' comments, which are very helpful in
   revising and improving our paper as well as the important guiding
   significance to our future researches.
CR Adam JC, 2007, J GEOPHYS RES-ATMOS, V112, DOI 10.1029/2007JD008525
   Allen RG, 2006, AGR WATER MANAGE, V81, P1, DOI 10.1016/j.agwat.2005.03.007
   Budyko M.I., 1963, EVAPORATION NATURAL
   Choudhury BJ, 1999, J HYDROL, V216, P99, DOI 10.1016/S0022-1694(98)00293-5
   Csaba M, 2014, ENVIRON RES LETT, V9
   Destouni G, 2013, NAT CLIM CHANGE, V3, P213, DOI [10.1038/nclimate1719, 10.1038/NCLIMATE1719]
   Fathian F, 2016, HYDROLOG SCI J, V61, P892, DOI 10.1080/02626667.2014.932911
   Feng XM, 2016, NAT CLIM CHANGE, V6, P1019, DOI [10.1038/NCLIMATE3092, 10.1038/nclimate3092]
   Gordon LJ, 2005, P NATL ACAD SCI USA, V102, P7612, DOI 10.1073/pnas.0500208102
   Guimberteau M, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/014035
   Guo J, 2016, WATER-SUI, V8, DOI 10.3390/w8050192
   Immerzeel WW, 2010, SCIENCE, V328, P1382, DOI 10.1126/science.1183188
   James H, 2016, ENVIRON RES LETT, V11
   Jaramillo F, 2014, GEOPHYS RES LETT, V41, P8377, DOI 10.1002/2014GL061848
   Jiang C, 2015, J HYDROL, V522, P326, DOI 10.1016/j.jhydrol.2014.12.060
   Leng GY, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/11/114003
   Leng GY, 2015, J ADV MODEL EARTH SY, V7, P1285, DOI 10.1002/2015MS000437
   Leng GY, 2015, GLOBAL PLANET CHANGE, V126, P23, DOI 10.1016/j.gloplacha.2015.01.003
   Levi L, 2015, AMBIO, V44, P624, DOI 10.1007/s13280-015-0641-0
   Li B, 2015, STOCH ENV RES RISK A, V29, P1071, DOI 10.1007/s00477-014-0998-9
   Li D, 2014, ADV WATER RESOUR, V70, P1, DOI 10.1016/j.advwatres.2014.04.012
   Li YY, 2016, WATER-SUI, V8, DOI 10.3390/w8060220
   Liang W, 2015, WATER RESOUR RES, V51, P6500, DOI 10.1002/2014WR016589
   Liu JG, 2008, P NATL ACAD SCI USA, V105, P9477, DOI 10.1073/pnas.0706436105
   Liu JY, 2014, J GEOGR SCI, V24, P195, DOI 10.1007/s11442-014-1082-6
   Liu XM, 2015, GEOPHYS RES LETT, V42, P8424, DOI 10.1002/2015GL065904
   Liu XM, 2013, THEOR APPL CLIMATOL, V111, P683, DOI 10.1007/s00704-012-0701-3
   Liu XM, 2012, J GEOPHYS RES-ATMOS, V117, DOI 10.1029/2011JD016879
   Michelle TH, 2016, ENVIRON RES LETT, V11
   Milly PCD, 2002, WATER RESOUR RES, V38, DOI 10.1029/2001WR000760
   Ouyang Z, 2016, SCIENCE, V352, P1455, DOI 10.1126/science.aaf2295
   Piao SL, 2010, NATURE, V467, P43, DOI 10.1038/nature09364
   Roderick ML, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009826
   Sang YF, 2017, NAT HAZARDS, V85, P1291, DOI 10.1007/s11069-016-2614-4
   Singh R, 2015, GEOPHYS RES LETT, V42, P9799, DOI 10.1002/2015GL066363
   Spracklen DV, 2016, NATURE, V531, P310, DOI 10.1038/531310a
   Sterling SM, 2013, NAT CLIM CHANGE, V3, P385, DOI [10.1038/NCLIMATE1690, 10.1038/nclimate1690]
   Tomer MD, 2009, J HYDROL, V376, P24, DOI 10.1016/j.jhydrol.2009.07.029
   Touhami I, 2015, J HYDROL, V527, P619, DOI 10.1016/j.jhydrol.2015.05.012
   Ukkola AM, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/9/094022
   Velpuri NM, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/2/024020
   Wang DB, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR010283
   Xue BL, 2013, J HYDROL, V492, P290, DOI 10.1016/j.jhydrol.2013.04.005
   Yang HB, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009287
   Yin HF, 2001, GEOMORPHOLOGY, V41, P105, DOI 10.1016/S0169-555X(01)00108-8
   Zhang D, 2016, J HYDROL, V543, P759, DOI 10.1016/j.jhydrol.2016.10.047
   Zhang SF, 2011, J GEOGR SCI, V21, P963, DOI 10.1007/s11442-011-0893-y
   Zhang SL, 2016, GEOPHYS RES LETT, V43, P1140, DOI 10.1002/2015GL066952
   Zhang XP, 2008, WATER RESOUR RES, V44, DOI 10.1029/2007WR006711
   Zheng HX, 2009, WATER RESOUR RES, V45, DOI 10.1029/2007WR006665
NR 50
TC 19
Z9 23
U1 1
U2 77
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 1866-6280
EI 1866-6299
J9 ENVIRON EARTH SCI
JI Environ. Earth Sci.
PD OCT
PY 2017
VL 76
IS 20
AR 696
DI 10.1007/s12665-017-7026-6
PG 10
WC Environmental Sciences; Geosciences, Multidisciplinary; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Geology; Water Resources
GA FJ6SV
UT WOS:000412889200026
DA 2025-01-10
ER

PT J
AU Carmichael, B
   Wilson, G
   Namarnyilk, I
   Nadji, S
   Cahill, J
   Bird, D
AF Carmichael, Bethune
   Wilson, Greg
   Namarnyilk, Ivan
   Nadji, Sean
   Cahill, Jacqueline
   Bird, Deanne
TI Testing the scoping phase of a bottom-up planning guide designed to
   support Australian Indigenous rangers manage the impacts of climate
   change on cultural heritage sites
SO LOCAL ENVIRONMENT
LA English
DT Article
DE Climate change adaptation; cultural geography; environmental management;
   heritage studies; Indigenous knowledge
ID ARCHAEOLOGICAL SITES; ADAPTIVE CAPACITY; VULNERABILITY; ADAPTATION;
   LEVEL; COMMUNITIES; VALUES
AB Since the early 1990s archaeologists have suggested archaeological and cultural heritage sites (cultural sites) will face major challenges from anthropogenic climate change. While techniques to manage such impacts are emerging, no planning tools exist for bottom-up, community-based management of the issue. This paper forms part of an overarching research project that aims to fill this gap by developing a bottom-up planning guide (the Guide). The paper tests the first of the proposed Guide's five phases: the scoping phase. It presents the results of workshops conducted with two Australian Indigenous rangers groups. While existing studies document Indigenous peoples' perceptions of climate change in general, none have focussed on their perceptions of impacts on cultural heritage sites. Here, Indigenous rangers related strong perceptions of particular climate change impacts on specific cultural sites in particular bio-regions. While the rangers were actively engaged with sites, they felt site management should be extended in the face of additional threats from climate change. Rangers were able to nominate a preferred methodological approach, based on a risk analysis of biophysical hazards, as well as local adaptive capacity building in the face of governance challenges. Various barriers to adaptation planning and resource limitations were identified but these were not regarded as insurmountable in terms of the current project. Testing of the scoping phase of the Guide suggested rangers had a strong organisational capacity to achieve practical adaptation results.
C1 [Carmichael, Bethune] Australian Natl Univ, Dept Archaeol & Nat Hist, Canberra, ACT, Australia.
   [Carmichael, Bethune] Charles Darwin Univ, Northern Inst, Alice Springs, NT, Australia.
   [Wilson, Greg; Namarnyilk, Ivan] Djelk Rangers, Maningrida, NT, Australia.
   [Nadji, Sean; Cahill, Jacqueline] Kakadu Natl Pk Rangers, Jabiru, NT, Australia.
   [Bird, Deanne] Univ Iceland, Sch Engn & Nat Sci, Fac Life & Environm Sci, Reykjavik, Iceland.
C3 Australian National University; Charles Darwin University; University of
   Iceland
RP Carmichael, B (corresponding author), Bethune Carmichael, 44 Finniss Crescent, Narrabundah, ACT 2604, Australia.
EM bethune.carmichael@cdu.edu.au
RI Bird, Deanne/G-7130-2015
OI Bird, Deanne/0000-0001-8556-0987
FU Australian Research Council [LP110201128, DP120100512]; Australian
   National University; Charles Darwin University; Australian Research
   Council [LP110201128] Funding Source: Australian Research Council
FX Fieldwork was supported by the Australian Research Council (Linkage
   Project LP110201128 and Discovery Project DP120100512), the Australian
   National University and Charles Darwin University.
CR Adger N, 2004, 7 TYND CTR CLIM CHAN
   Adger WN, 2013, NAT CLIM CHANGE, V3, P112, DOI [10.1038/NCLIMATE1666, 10.1038/nclimate1666]
   Adger WN, 2011, GLOBAL ENVIRON POLIT, V11, P1, DOI 10.1162/GLEP_a_00051
   Allen Consulting Group, 2011, ASS EC EMPL OUTC WOR
   Altman JK Jordan., 2008, Impact of Climate Change on Indigenous Australians: Submission to the Garnaut Climate Change Review
   Berkes F, 2002, CONSERV ECOL, V5
   Bickler S., 2013, The Impact of Climate Change on The Archaeology of New Zealand's Coastline. A Case Study From the Whangarei District
   Bird D., 2013, Future Change in Ancient Worlds: Indigenous Adaptation in Northern Australia
   Bird DK, 2009, NAT HAZARD EARTH SYS, V9, P1307, DOI 10.5194/nhess-9-1307-2009
   Brandl E., 1988, Australian Aboriginal paintings in western and central Arnhem Land: temporal sequences and elements of style in Cadell River and Deaf Adder Creek art
   Brockwell S., 2005, Australian Aboriginal Studies, V2005, P84
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Burton I., 2005, UNDP UNITED NATIONS
   Carmichael B, 2015, RANGELAND J, V37, P597, DOI 10.1071/RJ15048
   Cassar MR Pender., 2005, 14th Triennial Meeting, The Hague, Preprints Icom, P610
   Chaloupka G., 1985, A Cultural survey of Balawurru, Deaf Adder Creek, Amarrkananga, Cannon Hill and the Northern Corridor
   Chaloupka G., 1993, Journey in Time: the 50,000-year Story of the Australian Aboriginal Rock Art of Arnhem Land
   Chaloupka G., 1983, The rock art sites of Kakadu National Park - some preliminary research findings for their conservation and management, P1
   CLC, 2013, CLC RANG
   Daire M.-Y., 2014, J ISL COAST ARCHAEOL, V7, P183
   Daly C, 2014, CONSERV MANAGE ARCHA, V16, P268, DOI 10.1179/1350503315Z.00000000086
   Dawson Tom., 2015, FUTURE HERITAGE CLIM, P248
   Daze A., 2009, CARE climate vulnerability and capacity analysis handbook
   Department of Environment, 2013, WORK ON COUNTR
   Dessai S., 2004, CLIM POLICY, V4, P1
   Djabulukgu Association, 2010, WHAT DJAB ASS DOES N
   Dupont L, 2013, LAND USE POLICY, V35, P179, DOI 10.1016/j.landusepol.2013.05.010
   English Heritage, 2007, BRIEF ENG HER RAP CO
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Gaillard JC, 2010, J INT DEV, V22, P218, DOI 10.1002/jid.1675
   Green D, 2009, ANTHR CLIMATE CHANGE, P218
   Green D, 2012, LOCAL ENVIRON, V17, P295, DOI 10.1080/13549839.2012.665857
   Harvey David., 2015, FUTURE HERITAGE CLIM
   Haynes D., 2009, THESIS
   Hennessy K., 2011, CLIMATE CHANGE UNPUB
   Hinkel J., 2013, UNEP - PROVIA Guidance on Assessing Vulnerability, Impacts and Adaptation to Climate Change
   Hiscock Peter., 2008, ARCHAEOLOGY ANCIENT
   Johnson A, 2015, J ISL COAST ARCHAEOL, V10, P232, DOI 10.1080/15564894.2014.980472
   Jones R., 1985, Archaeological Research in Kakadu National Park
   Jones RN, 2011, WIRES CLIM CHANGE, V2, P296, DOI 10.1002/wcc.97
   Kakadu Board of Management, 2016, KAK MAN PLAN 2016 20
   Kamminga J., 1973, Report of the archaeological survey Australia, Alligator Rivers Environmental Fact-Finding Study
   Keen I., 2004, Aboriginal Economy and Society
   Langton M., 2012, National Climate Change Adaptation Research Plan for Indigenous Communities
   Leonard S., 2013, Indigenous Climate Change Adaptation in the Kimberley Region of North-Western Australia. Learning from the Past
   Lewin K, 1946, J SOC ISSUES, V2, P34, DOI 10.1111/j.1540-4560.1946.tb02295.x
   Masterson Andrew., 2010, The Mirarr: Yesterday
   McIntyre-Tamwoy S., 2012, Local Environment: The International Journal of Justice and Sustainability, V18, P91
   McNamara K., 2012, Limits to Adaptation: Limits to Climate Change Adaptation for Two Low-Lying Communities in the Torres Strait
   Meehan Betty., 1982, SHELL BED SHELL MIDD
   Memmott P., 2013, Aboriginal Responses to Climate Change in Arid Zone Australia: Regional Understandings and Capacity Building for Adaptation
   Nakashima DJ., 2012, WEARING UNCERTAIN
   National Tidal Centre, 2011, AUSTR BAS SEA LEV MO
   Ninti One, 2014, OBS CLIM CHANG REM C
   Nursey-Bray M., 2013, Community Based Adaptation to Climate Change: the Arabana, South Australia
   Parks Australia, 2016, NAT PARKS GARD
   Pearce TD, 2009, POLAR RES, V28, P10, DOI 10.1111/j.1751-8369.2008.00094.x
   Pearson M., 1995, Looking After Heritage Places: The Basics of Heritage Planning for Managers, Landowners and Administrators
   Pew Charitable Trusts, 2015, WORK OUR COUNTR REV
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Raiser W., 2014, ADAPTATION CLIMATE C
   Rangers Djelk, 2014, DJELK HLTH COU UNPUB
   Reeder-Myers LA, 2015, J ISL COAST ARCHAEOL, V10, P436, DOI 10.1080/15564894.2015.1008074
   Rose DeborahBird., 1996, NOURISHING TERRAINS
   Rowland MJ., 1992, Aust Archaeol, V34, P29, DOI DOI 10.1080/03122417.1992.11681449
   Saulwick A., 2000, Rembarrnga rock art survey: 1999-2000 field season report
   Smit B., 2003, CLIMATE CHANGE ADAPT, P9, DOI DOI 10.1142/97818609458160002
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Stringer E., 2014, ACTION RES-LONDON
   Tacon P., Theories and practices on rock art preservation and conservation, P1
   Taplin D., 2013, Technical Papers: A Series of Papers to support Development of Theories of Change Based on Practice in the Field
   UKCIP, 2013, UKCIP AD WIZ
   UNESCO, 2006, Predicting and Managing the Effects of Climate Change on World Heritage: A Joint Report from the World Heritage Centre, Its Advisory Bodies, and a Broad Group of Experts to the 30th Session of the World Heritage Committee
   URBIS, 2012, ASS SOC OUTC WORK CO
   Walsh F., 2002, PLANNING FOR COUNTRY
   WalterTurnbull, 2010, WORK COUNTR EV REP
   Webb R.J. Beh., 2013, Leading adaptation practices and support strategies for Australia: an international and Australian review of products and tools
   Weiss Carol Hirschon, 1995, New Approaches to Evaluating Community Initiatives: Concepts, Methods, and Contexts, P65, DOI DOI 10.1177/1356389003094007
   Westley K, 2011, J ISL COAST ARCHAEOL, V6, P351, DOI 10.1080/15564894.2010.520076
   [Whetton P. CSIRO BOM CSIRO BOM], 2015, Climate change in Australia technical report. Climate change in Australia information for Australia's natural resource management regions: technical report
   Wilby RL, 2010, WEATHER, V65, P180, DOI 10.1002/wea.543
   Willows R.I., 2003, CLIMATE ADAPTATION R
   Wolf J, 2013, GLOBAL ENVIRON CHANG, V23, P548, DOI 10.1016/j.gloenvcha.2012.11.007
NR 83
TC 13
Z9 18
U1 2
U2 21
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1354-9839
EI 1469-6711
J9 LOCAL ENVIRON
JI Local Environ.
PY 2017
VL 22
IS 10
BP 1197
EP 1216
DI 10.1080/13549839.2017.1332018
PG 20
WC Green & Sustainable Science & Technology; Environmental Studies;
   Geography; Regional & Urban Planning; Urban Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology;
   Geography; Public Administration; Urban Studies
GA FQ6LW
UT WOS:000418477000003
DA 2025-01-10
ER

PT C
AU Jokisch, A
   Urban, W
   Kluge, T
AF Jokisch, Alexander
   Urban, Wilhelm
   Kluge, Thomas
BE Filho, WL
   Adamson, K
   Dunk, RM
   Azeiteiro, UM
   Illingworth, S
   Alves, F
TI Small Scale Rain- and Floodwater Harvesting for Horticulture in
   Central-Northern Namibia for Livelihood Improvement and as an Adaptation
   Strategy to Climate Change
SO IMPLEMENTING CLIMATE CHANGE ADAPTATION IN CITIES AND COMMUNITIES:
   INTEGRATING STRATEGIES AND EDUCATIONAL APPROACHES
SE Climate Change Management
LA English
DT Proceedings Paper
CT World Symposium on Climate Change Adaptation
CY SEP 02-04, 2015
CL Manchester, ENGLAND
DE Central-northern Namibia; Rainwater harvesting; Floodwater harvesting;
   Climate change adaptation
AB This paper presents research results of the German-Namibian joint research project CuveWaters in which different technologies for small-scale rain- and floodwater harvesting were introduced as pilot plants in central-northern Namibia as part of a broader Integrated Water Resources Management (IWRM) approach. Central-northern Namibia has semi-arid climate conditions with clearly distinctive dry and wet seasons. Rain-and floodwater harvesting for irrigation purposes are intended to increase resilience in agricultural production by building buffers for interseasonal dry spells and to make irrigation farming possible during the dry season. This is intended to improve availability of vegetables in rural parts of Namibia and to derive income on local markets. Besides raising temperatures, climate change in sub-Saharan Africa is predicted to increase rainfall variability. Therefore, these adaptations also present a precondition for adapting to future climate change. Within the project, different organisational approaches such as harvesting of rainwater at the household as well as at the communal level were tested, as well as different locally available tank construction materials. All technologies were developed in cooperation with the local communities and framed by capacity development measures which yielded very good results and enabled a diffusion of the technology in the region. Based on 5 years of research the construction of ferrocement tanks on the household level and ponds covered with shade nets on the communal level can be recommended. Due to high evaporation rates all gardens irrigated with harvested rainwater were equipped with water saving drip irrigation systems. In combination with capacity development focusing on water management this enabled the users to irrigate their gardens throughout the dry season.
C1 [Jokisch, Alexander; Urban, Wilhelm] Tech Univ Darmstadt, Chair Water Supply & Ground Water Protect, Dept Civil & Environm Engn, Inst IWAR, Franziska Braun Str 7, D-64287 Darmstadt, Germany.
   [Kluge, Thomas] Inst Social Ecol Res ISOE, Hamburger Allee 45, D-60486 Frankfurt, Germany.
C3 Technical University of Darmstadt
RP Jokisch, A (corresponding author), Tech Univ Darmstadt, Chair Water Supply & Ground Water Protect, Dept Civil & Environm Engn, Inst IWAR, Franziska Braun Str 7, D-64287 Darmstadt, Germany.
EM alex.jokisch@gmx.de
CR [Anonymous], 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   [Anonymous], CUVEWATERS PAPERS
   [Anonymous], CLIM CHANG 2014 IMP
   Barron J., 2009, RAINWATER HARVESTING
   Bittner Water Consult, 2006, CUV ET GROUNDW INV
   Boelee E, 2013, COMPR ASSESS WAT MAN, V10, P1, DOI 10.1079/9781780640884.0000
   Critchley W., 1991, Water Harvesting: A Manual for the Design and Construction of Water Harvesting Schemes for Plant Production
   de Fraiture C, 2010, AGR WATER MANAGE, V97, P495, DOI 10.1016/j.agwat.2009.08.015
   Dirkx E., 2008, Climate Change Vulnerability  Adaptation Assessment
   Driessen C, 2011, CURRENT STATUS STENG
   Enfors EI, 2007, LAND DEGRAD DEV, V18, P680, DOI 10.1002/ldr.807
   FAO, 2009, SPECIAL REPORT
   Foley JA, 2011, NATURE, V478, P337, DOI 10.1038/nature10452
   Gould J., 2003, RAINWATER CATCHMENT
   Grey D, 2007, WATER POLICY, V9, P545, DOI 10.2166/wp.2007.021
   Jokisch A, 2014, P IWA 6 E EUR YOUNG
   Jokisch A., 2015, RAINWATER HARVESTING
   Kahinda JM, 2011, PHYS CHEM EARTH, V36, P968, DOI 10.1016/j.pce.2011.08.011
   Kluge T, 2008, PHYS CHEM EARTH, V33, P48, DOI 10.1016/j.pce.2007.04.005
   Liehr S, 2015, INTEGRATED WATER RES
   McCartney M., 2010, Water Storage in an Era of Climate Change: Addressing the Challenge of Increasing Rainfall Variability
   Mendelsohn J., 2002, ATLAS NAMIBIA PORTRA
   Mendelsohn J., 2000, PROFILE N CENTRAL NA
   Morton JF, 2007, P NATL ACAD SCI USA, V104, P19680, DOI 10.1073/pnas.0701855104
   Namibia Statistics Agency, 2011, NAM 2011
   Ngigi S.N., 2009, CLIMATE CHANGE ADAPT
   Niang I, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1199
   Reid H., 2007, EC IMPACT CLIMATE CH
   Stengel H.W, 1963, WASSERWIRTSCHAFT SWA
   Sturm M, 2009, PHYS CHEM EARTH, V34, P776, DOI 10.1016/j.pce.2009.07.004
   Tuinhof A., 2012, PROFIT STORAGE COSTS
   Woltersdorf L, 2014, WATER POLICY, V16, P124, DOI 10.2166/wp.2013.061
   Zeidler J., 2010, STUDY EFFECTS CLIMAT
   Zimmermann M, 2012, WATER SCI TECH-W SUP, V12, P540, DOI 10.2166/ws.2012.024
NR 34
TC 2
Z9 2
U1 1
U2 9
PU SPRINGER INT PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 1610-2010
BN 978-3-319-28591-7; 978-3-319-28589-4
J9 CLIM CHANG MANAG
PY 2016
BP 39
EP 52
DI 10.1007/978-3-319-28591-7_3
PG 14
WC Green & Sustainable Science & Technology; Environmental Studies
WE Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA BG6RY
UT WOS:000390838100003
DA 2025-01-10
ER

PT J
AU Phillips-Mao, L
   Galatowitsch, SM
   Snyder, SA
   Haight, RG
AF Phillips-Mao, Laura
   Galatowitsch, Susan M.
   Snyder, Stephanie A.
   Haight, Robert G.
TI Model-based scenario planning to develop climate change adaptation
   strategies for rare plant populations in grassland reserves
SO BIOLOGICAL CONSERVATION
LA English
DT Article
DE Cypripedium candidum; Habitat suitability; Metapopulation model;
   Monitoring; Invasion; Rare plants
ID BIODIVERSITY CONSERVATION; MANAGEMENT; FRAMEWORK; DORMANCY; SIZE; FACE
AB Incorporating climate change into conservation decision-making at site and population scales is challenging due to uncertainties associated with localized climate change impacts and population responses to multiple interacting impacts and adaptation strategies. We explore the use of spatially explicit population models to facilitate scenario analysis, a conservation planning approach for situations of high uncertainty. We developed dynamic, linked habitat suitability and metapopulation models using RAMAS GIS to consider management and monitoring options for a grassland reserve in Minnesota (USA) in order to support a hydrologically sensitive rare orchid (Cypripedium candidum). We evaluated 54 future scenarios combining changes in drought frequency, increased depth to water table, and multiple configurations of increased invasive species cover and management. Simulation results allowed us to prioritize adaptation strategies and monitoring guidelines to inform adaptive management for our model system. For example, preventing further spread of invasive species into the current C. candidum population is an important low-risk resilience strategy for this site. However, under more serious climate change scenarios, higher-risk strategies, such as protecting critical recharge areas, become essential. Additionally, allocating limited monitoring resources toward detecting changes in depth to water table and assessing C. candidum population responses to severe drought will more efficiently inform decisions about when to shift from low-risk resilience approaches to higher-risk resistance and facilitation strategies. Applying this scenario based modeling approach to other high-priority populations will enable conservation decision-makers to develop sound, cost-effective, site-specific management and monitoring protocols despite the uncertainties of climate change. (C) 2015 Published by Elsevier Ltd.
C1 [Phillips-Mao, Laura; Galatowitsch, Susan M.] Univ Minnesota, Dept Fisheries Wildlife & Conservat Biol, 135 Skok Hall,2003 Upper Buford Circle, St Paul, MN 55108 USA.
   [Snyder, Stephanie A.; Haight, Robert G.] US Forest Serv, USDA, No Res Stn, 1992 Folwell Ave, St Paul, MN 55108 USA.
C3 University of Minnesota System; University of Minnesota Twin Cities;
   United States Department of Agriculture (USDA); United States Forest
   Service
RP Phillips-Mao, L (corresponding author), Univ Minnesota, Dept Fisheries Wildlife & Conservat Biol, 135 Skok Hall,2003 Upper Buford Circle, St Paul, MN 55108 USA.
EM phil0308@umn.edu
FU US Forest Service, Northern Research Station
FX Funding for this project was generously provided by the US Forest
   Service, Northern Research Station. We are grateful to Dr. H. Re it
   Ackcakaya for guidance in using RAMAS GIS, and to Dr. Aaron Rendahl for
   valuable feedback on statistical analyses. We also thank Drs. Laura Van
   Riper, Lynne Westphall, and Anthony Starfield for their thoughtful
   comments on an earlier draft of this article. C. candidum occurrence
   data used in the models were provided by the Division of Ecological and
   Water Resources, Minnesota Department of Natural Resources (DNR), and
   were current as of October 2012. These data are not based on an
   exhaustive inventory of the state, and the lack of data for any
   geographic area shall not be construed to mean that no C. candidum are
   present.
CR Akcakaya H.R., 2005, APPL BIOMATHEMATICS
   Akçakaya HR, 2000, POPUL ECOL, V42, P45, DOI 10.1007/s101440050008
   [Anonymous], RAR SPEC GUID CYPR C
   [Anonymous], CONSERVATION BIOL
   [Anonymous], FRONT ECOL ENV
   [Anonymous], CYPRIPEDIUM CANDIDUM
   [Anonymous], FLORA N AM N MEXICO
   [Anonymous], NATIVE ORCHIDS MINNE
   [Anonymous], 2013, MITIG ADAPT STRAT GL, DOI DOI 10.1007/s11027-012-9423-1
   [Anonymous], CLIM AT A GLANC
   [Anonymous], 2014, PROSIDING SEMINAR NA
   [Anonymous], 2001, CLIMATE CHANGE 2001
   [Anonymous], 2014, The PLANTS Database
   [Anonymous], LANDSC ECOL
   [Anonymous], CYPRIPEDIUM CANDIDUM
   Bowles M L., 1999, EASTERN PRAIRIE FRINGED ORCHID Platanthera leucophaea (Nut tall) Lindley RECOVERY PLAN
   Bowles M.L., 1983, Natural Areas Journal, V3, P14
   Bradley BA, 2010, TRENDS ECOL EVOL, V25, P310, DOI 10.1016/j.tree.2009.12.003
   Conlisk E, 2014, BIOL CONSERV, V175, P42, DOI 10.1016/j.biocon.2014.04.010
   CURTIS J. T., 1953, ORCHID JOUR, V2, P152
   CURTIS JT, 1946, J WILDLIFE MANAGE, V10, P303, DOI 10.2307/3796237
   Easterling DR, 2000, SCIENCE, V289, P2068, DOI 10.1126/science.289.5487.2068
   Franklin J, 2014, ENVIRON CONSERV, V41, P97, DOI 10.1017/S0376892913000453
   Galatowitsch S, 2009, BIOL CONSERV, V142, P2012, DOI 10.1016/j.biocon.2009.03.030
   Groves CR., 2012, BIODIVERS CONSERV, P1
   Hole DG, 2011, CONSERV BIOL, V25, P305, DOI 10.1111/j.1523-1739.2010.01633.x
   Jentsch A, 2007, FRONT ECOL ENVIRON, V5, P365, DOI 10.1890/1540-9295(2007)5[365:ANGOCE]2.0.CO;2
   Keith DA, 2008, BIOL LETTERS, V4, P560, DOI 10.1098/rsbl.2008.0049
   Lawler JJ, 2010, FRONT ECOL ENVIRON, V8, P35, DOI 10.1890/070146
   Lawrence DJ, 2014, ECOL APPL, V24, P895, DOI 10.1890/13-0753.1
   Loss SR, 2011, BIOL CONSERV, V144, P92, DOI 10.1016/j.biocon.2010.11.016
   McCarthy MA, 2001, ANIM CONSERV, V4, P351, DOI 10.1017/S136794300100141X
   McLachlan JS, 2007, CONSERV BIOL, V21, P297, DOI 10.1111/j.1523-1739.2007.00676.x
   Meehl GA, 2006, J CLIMATE, V19, P2597, DOI 10.1175/JCLI3746.1
   Miller JR, 2009, LANDSCAPE URBAN PLAN, V93, P123, DOI 10.1016/j.landurbplan.2009.06.011
   Minnesota Prairie Plan Working Group, 2011, MINN PRAIR CONS PLAN
   Monzón J, 2011, BIOSCIENCE, V61, P752, DOI 10.1525/bio.2011.61.10.5
   Nicolè F, 2005, J ECOL, V93, P716, DOI 10.1111/j.1365-2745.2005.01010.x
   Ogden AE, 2009, ECOL SOC, V14
   Peterson GD, 2003, CONSERV BIOL, V17, P358, DOI 10.1046/j.1523-1739.2003.01491.x
   Regan HM, 2012, GLOBAL CHANGE BIOL, V18, P936, DOI 10.1111/j.1365-2486.2011.02586.x
   Shefferson RP, 2006, OIKOS, V115, P253, DOI 10.1111/j.2006.0030-1299.15231.x
   Shefferson RP, 2005, ECOLOGY, V86, P3099, DOI 10.1890/05-0586
   Staudinger MD, 2013, FRONT ECOL ENVIRON, V11, P465, DOI 10.1890/120272
   Staudt A, 2013, FRONT ECOL ENVIRON, V11, P494, DOI 10.1890/120275
   Stein BA, 2013, FRONT ECOL ENVIRON, V11, P502, DOI 10.1890/120277
   Williams SE, 2008, PLOS BIOL, V6, P2621, DOI 10.1371/journal.pbio.0060325
   Wintle BA, 2011, NAT CLIM CHANGE, V1, P355, DOI 10.1038/NCLIMATE1227
   Wyckoff PH, 2010, J ECOL, V98, P197, DOI 10.1111/j.1365-2745.2009.01602.x
   Zedler JB, 2010, FRONT ECOL ENVIRON, V8, P540, DOI 10.1890/090109
NR 50
TC 14
Z9 16
U1 0
U2 88
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0006-3207
EI 1873-2917
J9 BIOL CONSERV
JI Biol. Conserv.
PD JAN
PY 2016
VL 193
BP 103
EP 114
DI 10.1016/j.biocon.2015.10.010
PG 12
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA DC1GB
UT WOS:000368963700012
DA 2025-01-10
ER

PT J
AU Pyhälä, A
   Fernández-Llamazares, A
   Lehvävirta, H
   Byg, A
   Ruiz-Mallén, I
   Salpeteur, M
   Thornton, TF
AF Pyhala, Aili
   Fernandez-Llamazares, Alvaro
   Lehvavirta, Hertta
   Byg, Anja
   Ruiz-Mallen, Isabel
   Salpeteur, Matthieu
   Thornton, Thomas F.
TI Global environmental change: local perceptions, understandings, and
   explanations
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE adaptive strategies; cognitive psychology; local knowledge; ontologies;
   small-scale societies
ID CLIMATE-CHANGE ADAPTATION; SHIFTING BASE-LINES; INDIGENOUS KNOWLEDGE;
   ADAPTIVE CAPACITY; VULNERABILITY; FARMERS; STRATEGIES; COMMUNICATION;
   PERSPECTIVES; RESOURCE
AB Global environmental change (GEC) is an increasingly discussed phenomenon in the scientific literature as evidence of its presence and impacts continues to grow. Yet, while the documentation of GEC is becoming more readily available, local perceptions of GEC-particularly in small-scale societies-and preferences about how to deal with it, are still largely overlooked. Local knowledge and perceptions of GEC are important in that agents make decisions (including on natural resource management) based on individual perceptions. We carried out a systematic literature review that aims to provide an exhaustive state-of-the-art of the degree to and manner in which the study of local perceptions of change are being addressed in GEC research. We reviewed 126 articles found in peer-reviewed journals (between 1998 and 2014) that address local perceptions of GEC. We used three particular lenses of analysis that are known to influence local perceptions, namely (i) cognition, (ii) culture and knowledge, and (iii) possibilities for adaptation. We present our findings on the geographical distribution of the current research, the most common changes reported, perceived drivers and impacts of change, and local explanations and evaluations of change and impacts. Overall, we found the studies to be geographically biased, lacking methodological reporting, mostly theory based with little primary data, and lacking of indepth analysis of the psychological and ontological influences in perception and implications for adaptation. We provide recommendations for future GEC research and propose the development of a "meta-language" around adaptation, perception, and mediation to encourage a greater appreciation and understanding of the diversity around these phenomena across multiple scales, and improved codesign and facilitation of locally relevant adaptation and mitigation strategies.
C1 [Pyhala, Aili; Fernandez-Llamazares, Alvaro; Ruiz-Mallen, Isabel; Salpeteur, Matthieu] Univ Autonoma Barcelona, Inst Ciencia & Tecnol Ambientals, E-08193 Barcelona, Spain.
   [Pyhala, Aili; Fernandez-Llamazares, Alvaro; Lehvavirta, Hertta] Univ Helsinki, Dept Biosci, Metapopulat Res Ctr, FIN-00014 Helsinki, Finland.
   [Byg, Anja] James Hutton Inst, Social Econ & Geog Sci Grp, Dundee, Scotland.
   [Ruiz-Mallen, Isabel] Univ Oberta Catalunya, Internet Interdisciplinary Inst IN3, Barcelona, Spain.
   [Salpeteur, Matthieu] Univ Barcelona, Dept Prehist Hist Antiga & Arqueol, ERAAUB, E-08007 Barcelona, Spain.
   [Thornton, Thomas F.] Univ Oxford, Sch Geog & Environm, Oxford OX1 2JD, England.
C3 Autonomous University of Barcelona; University of Helsinki; James Hutton
   Institute; UOC Universitat Oberta de Catalunya; University of Barcelona;
   University of Oxford
RP Pyhälä, A (corresponding author), Univ Autonoma Barcelona, Inst Ciencia & Tecnol Ambientals, E-08193 Barcelona, Spain.; Pyhälä, A (corresponding author), Univ Helsinki, Dept Biosci, Metapopulat Res Ctr, FIN-00014 Helsinki, Finland.
RI Thornton, Tom/AAJ-5105-2020; Fernández-Llamazares, Álvaro/ABA-6096-2021;
   Ruiz-Mallen, Isabel/E-9614-2018
OI Fernandez-Llamazares, Alvaro/0000-0002-7813-0222; Pyhala,
   Aili/0000-0001-7095-5994; Ruiz-Mallen, Isabel/0000-0002-9679-3329
FU ICREA; European Union's Seventh Framework Programme (FP7)/ERC
   [FP7-261971-LEK]; Spanish MINECO under the CONSOLIDER-INGENIO program
   [CSD2010-00034]
FX We would like to thank ICREA for providing us with financial support to
   organize a workshop around which the authors of this paper could meet in
   person to work on this paper. A. Pyhala and A. Fernandez-Llamazares
   acknowledge financial support from the European Union's Seventh
   Framework Programme (FP7/2007-2013)/ERC grant agreement nr.
   FP7-261971-LEK, and M. Salpeteur from the Simulpast project
   (CSD2010-00034) funded by the Spanish MINECO under the 2010
   CONSOLIDER-INGENIO program. Many thanks also to V. Reyes-Garcia, J.
   Erlandson, and J. Salick, who provided useful comments at earlier stages
   of the study.
CR Adams WM, 2007, ORYX, V41, P275, DOI 10.1017/S0030605307004131
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Agrawal A, 2008, THE ROLE OF LOCAL IN
   Agrawal A, 2010, SOCIAL DIMENSION OF
   Ainsworth CH, 2008, BIOL CONSERV, V141, P848, DOI 10.1016/j.biocon.2008.01.006
   Alessa L, 2008, GLOBAL ENVIRON CHANG, V18, P153, DOI 10.1016/j.gloenvcha.2007.05.007
   Anik SI, 2012, MITIG ADAPT STRAT GL, V17, P879, DOI 10.1007/s11027-011-9350-6
   [Anonymous], RE THINKING SCIENCE
   [Anonymous], 2002, CHILDREN AND NATURE
   [Anonymous], THE PERCEPTION OF TH
   Aswani S, 2014, CONSERV BIOL, V28, P820, DOI 10.1111/cobi.12250
   Barnes J, 2013, NAT CLIM CHANGE, V3, P541, DOI [10.1038/nclimate1775, 10.1038/NCLIMATE1775]
   Barnosky AD, 2012, NATURE, V486, P52, DOI 10.1038/nature11018
   Begossi A, 2002, HUM ECOL, V30, P281, DOI 10.1023/A:1016564217719
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   Berkes F., 1999, Sacred ecology: Traditional ecological knowledge and resource management
   Berkes F, 2009, J ROY SOC NEW ZEAL, V39, P151, DOI 10.1080/03014220909510568
   Boillat S, 2013, ECOL SOC, V18, DOI 10.5751/ES-05894-180421
   Boissière M, 2013, ECOL SOC, V18, DOI 10.5751/ES-05822-180413
   Brant-Castellano M., 2000, Indigenous knowledges in global contexts. Multiple reading of our world
   Bridges KW, 2009, GLOBAL ENVIRON CHANG, V19, P140, DOI 10.1016/j.gloenvcha.2009.01.009
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Brosius JP, 1999, CURR ANTHROPOL, V40, P277, DOI 10.1086/200019
   Bunce M, 2008, OCEAN COAST MANAGE, V51, P285, DOI 10.1016/j.ocecoaman.2007.09.006
   Bunce Matthew, 2010, Environment Development and Sustainability, V12, P407, DOI 10.1007/s10668-009-9203-6
   Bunce M, 2009, GLOBAL ENVIRON CHANG, V19, P213, DOI 10.1016/j.gloenvcha.2008.11.005
   Burton I., 2002, Clim. Policy, V3, P24, DOI [10.3763/cpol.2002.0217, DOI 10.3763/CPOL.2002.0217]
   Byg A, 2009, GLOBAL ENVIRON CHANG, V19, P156, DOI 10.1016/j.gloenvcha.2009.01.010
   Cameron ES, 2012, GLOBAL ENVIRON CHANG, V22, P103, DOI 10.1016/j.gloenvcha.2011.11.004
   Capstick S, 2015, WIRES CLIM CHANGE, V6, P35, DOI 10.1002/wcc.321
   Castree N, 2014, NAT CLIM CHANGE, V4, P763, DOI 10.1038/NCLIMATE2339
   Combest-Friedman C, 2012, J ENVIRON MANAGE, V112, P137, DOI 10.1016/j.jenvman.2012.06.018
   Coram S, 2011, QUAL RES J, V11, P38, DOI 10.3316/QRJ1102038
   Cornell S, 2013, ENVIRON SCI POLICY, V28, P60, DOI 10.1016/j.envsci.2012.11.008
   Cox K. R., 1997, SPACES OF GLOBALIZAT
   Cruikshank J, 2001, ARCTIC, V54, P377, DOI 10.14430/arctic795
   Crutzen PJ, 2002, J PHYS IV, V12, P1, DOI 10.1051/jp4:20020447
   Crutzen PJ, 2003, CLIMATIC CHANGE, V61, P251, DOI 10.1023/B:CLIM.0000004708.74871.62
   Tàbara JD, 2010, ENVIRON POLICY GOV, V20, P1, DOI 10.1002/eet.530
   Davis A, 2003, HUM ECOL, V31, P463, DOI 10.1023/A:1025075923297
   Daw TM, 2010, ANIM CONSERV, V13, P534, DOI 10.1111/j.1469-1795.2010.00418.x
   Denzin Norman K., 2000, HANDBOOK OF QUALITAT
   Deressa T. T., 2009, Global Environmental Change, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Deryugina T, 2013, CLIMATIC CHANGE, V118, P397, DOI 10.1007/s10584-012-0615-1
   Descola P., 2005, BEYOND NATURE AND CU
   Dirzo R, 2014, SCIENCE, V345, P401, DOI 10.1126/science.1251817
   Dove M. R., 2007, LOCAL SCIENCE VS GLO
   Doyle J., 2009, ECOSEE, P279
   Egan PJ, 2014, NAT CLIM CHANGE, V4, P89, DOI 10.1038/nclimate2104
   Engels A, 2013, GLOBAL ENVIRON CHANG, V23, P1018, DOI 10.1016/j.gloenvcha.2013.05.008
   Erlandson JM, 2012, J COAST CONSERV, V16, P137, DOI 10.1007/s11852-010-0104-5
   Ermine W., 2004, THE ETHICS OF RESEAR
   Fernández-Llamazares A, 2015, CLIMATIC CHANGE, V131, P307, DOI 10.1007/s10584-015-1381-7
   Fernández-Llamazares A, 2015, GLOBAL ENVIRON CHANG, V31, P272, DOI 10.1016/j.gloenvcha.2015.02.001
   Forbes BC, 2009, P NATL ACAD SCI USA, V106, P22041, DOI 10.1073/pnas.0908286106
   Ford JD, 2006, GLOBAL ENVIRON CHANG, V16, P145, DOI 10.1016/j.gloenvcha.2005.11.007
   Gearheard S, 2010, CLIMATIC CHANGE, V100, P267, DOI 10.1007/s10584-009-9587-1
   Ghimire S., 2005, Ecology and Society, V9, P6, DOI DOI 10.5751/ES-00708-090306
   Grandia L, 2015, CRIT ANTHROPOL, V35, P301, DOI 10.1177/0308275X15588616
   Green D, 2010, CLIMATIC CHANGE, V100, P337, DOI 10.1007/s10584-010-9803-z
   Gupta A.K., 1999, STRATEGIC ISSUES IND, P119
   Habiba U, 2012, INT J DISAST RISK RE, V1, P72, DOI 10.1016/j.ijdrr.2012.05.004
   Henrich J, 2010, NATURE, V466, P29, DOI 10.1038/466029a
   Howe PD, 2013, GLOBAL ENVIRON CHANG, V23, P1488, DOI 10.1016/j.gloenvcha.2013.09.014
   Howe PD, 2013, NAT CLIM CHANGE, V3, P352, DOI [10.1038/nclimate1768, 10.1038/NCLIMATE1768]
   Hulme M, 2011, NAT CLIM CHANGE, V1, P177, DOI 10.1038/nclimate1150
   Ignatowski JA, 2013, CLIMATIC CHANGE, V121, P285, DOI 10.1007/s10584-013-0883-4
   International Geosphere-Biosphere Programme (IGBP), 2004, GLOBAL CHANGE AND TH
   International Social Science Council (ISSC) and United Nations Educational Scientific and Cultural Organization (UNESCO), 2013, WORLD SOCIAL SCIENCE
   Johnson JT, 2007, GEOGR RES-AUST, V45, P121, DOI 10.1111/j.1745-5871.2007.00442.x
   Kansiime M. K., 2013, Journal of Natural Sciences Research, V3, P179
   King DNT, 2007, J ROY SOC NEW ZEAL, V37, P59, DOI 10.1080/03014220709510536
   Kottak CP, 1999, AM ANTHROPOL, V101, P23, DOI 10.1525/aa.1999.101.1.23
   Laidler GJ, 2006, CLIMATIC CHANGE, V78, P407, DOI 10.1007/s10584-006-9064-z
   Lakoff G, 2010, ENVIRON COMMUN, V4, P70, DOI 10.1080/17524030903529749
   Lauer M, 2010, ENVIRON MANAGE, V45, P985, DOI 10.1007/s00267-010-9471-9
   Leduc TB, 2006, ECOL ECON, V60, P27, DOI 10.1016/j.ecolecon.2006.02.004
   Leonti M, 2011, J ETHNOPHARMACOL, V134, P542, DOI 10.1016/j.jep.2011.01.017
   Li CY, 2013, ENVIRON MANAGE, V52, P894, DOI 10.1007/s00267-013-0139-0
   Li TM., 2007, THE WILL TO IMPROVE
   Lykke AM, 2004, BIODIVERS CONSERV, V13, P1961, DOI 10.1023/B:BIOC.0000035876.39587.1a
   Manandhar S, 2011, REG ENVIRON CHANGE, V11, P335, DOI 10.1007/s10113-010-0137-1
   MARIN A, 2010, GLOBAL ENVIRON CHANG, V20, P162, DOI DOI 10.1016/J.GL0ENVCHA.2009.10.004
   Marin A, 2013, WIRES CLIM CHANGE, V4, P1, DOI 10.1002/wcc.199
   Maule AJ, 2002, PSYCHOLOGIST, V15, P68
   Meze-Hausken E, 2004, CLIM RES, V27, P19, DOI 10.3354/cr027019
   Monastersky R, 2009, NATURE, V457, P1077, DOI 10.1038/4571077a
   MORMONT M, 1995, MEDIA CULT SOC, V17, P49, DOI 10.1177/016344395017001004
   Myers TA, 2013, NAT CLIM CHANGE, V3, P343, DOI [10.1038/NCLIMATE1754, 10.1038/nclimate1754]
   Nadasdy P, 2007, AM ETHNOL, V34, P25, DOI 10.1525/ae.2007.34.1.25
   Naess LO, 2013, WIRES CLIM CHANGE, V4, P99, DOI 10.1002/wcc.204
   Nazarea V.D., 1999, Ethnoecology: situated knowledge/located lives
   Newsham AJ, 2011, GLOBAL ENVIRON CHANG, V21, P761, DOI 10.1016/j.gloenvcha.2010.12.003
   Nicholls R, 2009, INT J SOC RES METHOD, V12, P117, DOI 10.1080/13645570902727698
   Nkomwa EC, 2014, PHYS CHEM EARTH, V67-69, P164, DOI 10.1016/j.pce.2013.10.002
   Oba G, 2001, LAND DEGRAD DEV, V12, P461, DOI 10.1002/ldr.463
   Oldekop JA, 2012, HUM ECOL, V40, P101, DOI 10.1007/s10745-011-9455-2
   Orlove B, 2010, CLIMATIC CHANGE, V100, P243, DOI 10.1007/s10584-009-9586-2
   Orlove BS, 2002, AM SCI, V90, P428, DOI 10.1511/2002.33.791
   Papworth SK, 2009, CONSERV LETT, V2, P93, DOI 10.1111/j.1755-263X.2009.00049.x
   Patt AG, 2008, GLOBAL ENVIRON CHANG, V18, P458, DOI 10.1016/j.gloenvcha.2008.04.002
   Patt AG, 2014, WIRES CLIM CHANGE, V5, P219, DOI 10.1002/wcc.259
   Petheram L, 2010, GLOBAL ENVIRON CHANG, V20, P681, DOI 10.1016/j.gloenvcha.2010.05.002
   Poole R, 1972, TOWARDS DEEP SUBJECT
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Rai J. K, 2010, DHAULAGIRI J SOCIOLO, V4, P143
   Reo NJ, 2012, HUM ECOL, V40, P15, DOI 10.1007/s10745-011-9448-1
   Ribot J, 2011, GLOBAL ENVIRON CHANG, V21, P1160, DOI 10.1016/j.gloenvcha.2011.07.008
   Riedlinger D., 2001, POLAR RECORDS, V37, P315, DOI DOI 10.1017/S0032247400017058
   Robbins P, 2012, POLITICAL ECOLOGY A
   Roediger HL, 1996, J MEM LANG, V35, P76, DOI 10.1006/jmla.1996.0005
   Roncoli C, 2006, CLIM RES, V33, P81, DOI 10.3354/cr033081
   Roturier S, 2009, FOREST ECOL MANAG, V258, P1960, DOI 10.1016/j.foreco.2009.07.045
   Ruddiman WF, 2013, ANNU REV EARTH PL SC, V41, P45, DOI 10.1146/annurev-earth-050212-123944
   Rudiak-Gould P, 2013, WEATHER CLIM SOC, V5, P120, DOI 10.1175/WCAS-D-12-00034.1
   Rudiak-Gould P, 2012, GLOBAL ENVIRON CHANG, V22, P46, DOI 10.1016/j.gloenvcha.2011.09.011
   Ruiz-Mallén I, 2013, ECOL SOC, V18, DOI 10.5751/ES-05867-180412
   Schneider SH, 1996, BIODIVERS CONSERV, V5, P1109, DOI 10.1007/BF00052720
   Sánchez-Cortés MS, 2011, CLIMATIC CHANGE, V107, P363, DOI 10.1007/s10584-010-9972-9
   Simons DJ, 2005, TRENDS COGN SCI, V9, P16, DOI 10.1016/j.tics.2004.11.006
   Smith L. T., 1999, Decolonising methodology: Research and Indigenous peoples
   Spence A, 2011, NAT CLIM CHANGE, V1, P46, DOI [10.1038/nclimate1059, 10.1038/NCLIMATE1059]
   Speranza CI, 2010, CLIMATIC CHANGE, V100, P295, DOI 10.1007/s10584-009-9713-0
   Stamm KR, 2000, PUBLIC UNDERST SCI, V9, P219, DOI 10.1088/0963-6625/9/3/302
   Steffen W., 2004, GLOBAL CHANGE AND TH
   Steffen W, 2011, AMBIO, V40, P739, DOI 10.1007/s13280-011-0185-x
   Stern PC, 2000, J SOC ISSUES, V56, P407, DOI 10.1111/0022-4537.00175
   Swim J., 2009, PSYCHOL GLOBAL CLIMA
   Thornton TF, 2010, ENVIRON SOC, V1, P132, DOI 10.3167/ares.2010.010107
   TURNER BL, 1990, GLOBAL ENVIRON CHANG, V1, P14, DOI 10.1016/0959-3780(90)90004-S
   Turner NJ, 2008, ECOL SOC, V13
   Turnhout E, 2012, NATURE, V488, P454, DOI 10.1038/488454a
   Tyler NJC, 2007, GLOBAL ENVIRON CHANG, V17, P191, DOI 10.1016/j.gloenvcha.2006.06.001
   Veland S, 2013, GLOBAL ENVIRON CHANG, V23, P314, DOI 10.1016/j.gloenvcha.2012.10.009
   Victor DG, 2015, NATURE, V520, P27, DOI 10.1038/520027a
   Vignola R, 2010, LAND USE POLICY, V27, P1132, DOI 10.1016/j.landusepol.2010.03.003
   Voyer M, 2012, MAR POLICY, V36, P432, DOI 10.1016/j.marpol.2011.08.002
   Weatherhead E, 2010, GLOBAL ENVIRON CHANG, V20, P523, DOI 10.1016/j.gloenvcha.2010.02.002
   Weber EU, 2013, NAT CLIM CHANGE, V3, P312, DOI 10.1038/nclimate1859
   Weber EU, 2009, ANNU REV PSYCHOL, V60, P53, DOI 10.1146/annurev.psych.60.110707.163633
   West CT, 2008, LAND DEGRAD DEV, V19, P289, DOI 10.1002/ldr.842
   Wiens JA, 2010, CONSERV BIOL, V24, P51, DOI 10.1111/j.1523-1739.2009.01409.x
   Wilbanks TJ, 1999, CLIMATIC CHANGE, V43, P601, DOI 10.1023/A:1005418924748
   Yeh ET, 2016, AREA, V48, P34, DOI 10.1111/area.12189
   Yu QY, 2014, J INTEGR AGR, V13, P1599, DOI 10.1016/S2095-3119(14)60805-4
   Zalasiewicz J., 2008, GSA Today, V18, P4
   Zalasiewicz J, 2011, PHILOS T R SOC A, V369, P835, DOI 10.1098/rsta.2010.0339
   Zaval L, 2014, NAT CLIM CHANGE, V4, P143, DOI 10.1038/NCLIMATE2093
NR 148
TC 66
Z9 72
U1 1
U2 52
PU RESILIENCE ALLIANCE
PI WOLFVILLE
PA ACADIA UNIV, BIOLOGY DEPT, WOLFVILLE, NS B0P 1X0, CANADA
SN 1708-3087
J9 ECOL SOC
JI Ecol. Soc.
PY 2016
VL 21
IS 3
AR 25
DI 10.5751/ES-08482-210325
PG 29
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA DZ3CB
UT WOS:000385720400008
OA Green Published, Green Accepted, Green Submitted
DA 2025-01-10
ER

PT J
AU Quéfélec, S
   Allal, S
AF Quefelec, Stephane
   Allal, Samir
TI Development, water and energy in the context of climate change in North
   Africa
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Climate change; Energy; Water; Adaptation; Governance; North Africa
ID CHANGE IMPACTS; MIDDLE-EAST; VIRTUAL WATER; REQUIREMENTS; AVAILABILITY;
   DESALINATION; EUROPE; NEXUS
AB This article adopts a holistic approach to explore and quantify interactions between water and energy in the context of climate change in North Africa. We bring together results from different research areas to describe the physical interactions and to shortly discuss governance issues in the sectors of water and energy. We highlight the fact that water demand management options combined with a sustainable energy model is a priority action to answer the challenge of climate change adaptation in North African countries. We use the IPAT formula approach to compute scenarios for quantifying the magnitudes of advantages to expect from water demand side management actions coupled with energy efficiency options. According to our results, water demand management is a very appropriate adaptation option with significant benefits in terms of water saving, energy use and energy bill. Overall, in 2050, the water saved thanks to demand management actions could be around 68 billion of cubic meters, which is the magnitude of the total water demand of Egypt in 2005. Depending on the scenario and assumptions, the expected cumulated benefit in terms of energy bill over the period 2005-2025 could range between 30 and 48 billion US Dollar, which is comparable to the GDP of Tunisia in 2011 (46 billion US Dollar). Nevertheless, up to 2050, regardless the scenario, additional options will be needed to cover the water deficit of the region. This leads us to consider virtual water as an additional option to reduce the local water demand. Finally, we discuss the political implications and the reforms to be implemented for integrating water and energy demand side policies in North Africa.
C1 [Quefelec, Stephane] Aix Marseille Univ, Aix Marseille Sch Econ, Aix En Provence, France.
   [Quefelec, Stephane] ENERGIES 2050, Biot, France.
   [Allal, Samir] Inst Univ Technol Mantes, Mantes La Jolie, France.
   [Allal, Samir] Univ Versailles St Quentin En Yvelines, Versailles, France.
   [Allal, Samir] UVSQ Univ Versailles, Lab REEDS, Versailles, France.
C3 Aix-Marseille Universite; Universite Paris Saclay; Universite Paris
   Saclay
RP Quéfélec, S (corresponding author), Aix Marseille Univ, Aix Marseille Sch Econ, Aix En Provence, France.
EM stephane.quefelec@univ-amu.fr; samir.allal@uvsq.fr
CR Agrawala S., 2008, Economic Aspects of Adaptation to Climate Change
   Alcamo J, 2003, HYDROLOG SCI J, V48, P317, DOI 10.1623/hysj.48.3.317.45290
   Alcamo J, 2003, HYDROLOG SCI J, V48, P339, DOI 10.1623/hysj.48.3.339.45278
   Allan J.A., 2001, International Water and Irrigation, V21, P39
   Allan J.A., 2000, The Middle East Water Question: Hydropolitics and the Global Economy
   Allan JA, 2003, WATER INT, V28, P106, DOI 10.1080/02508060.2003.9724812
   Allan JA, 2003, RES MID E ECON, V5, P53
   ALLAN JA, 1994, WATER IN THE ARAB WORLD, P65
   Allan T., 1993, Proceedings of the conference on priorities for water resources allocation and management. Natural Resources and Engineering Advisers Conference, Southampton, July 1992., P13
   [Anonymous], EIB PLAN BLEU
   [Anonymous], ET RESS EAU MAGHR 20
   [Anonymous], CLIMATE CHANGE ENERG
   [Anonymous], LOOKING BACKWARD LOO
   [Anonymous], RAPP MOND DEV HUM 20
   [Anonymous], WEO DAT
   [Anonymous], STRATEGIE MEDITERRAN
   [Anonymous], UNEP MAP TECHNICAL R
   [Anonymous], CLIMATE CHANGE MEDIT
   [Anonymous], ASHGATE STUDIES ENV
   [Anonymous], ADAPTER AGR CHANGEME
   [Anonymous], STAT ENV MED
   [Anonymous], 2009, MEDITERRANEE FUTUR I
   [Anonymous], ONL DAT
   [Anonymous], EAU ENERGIE DESSALEM
   [Anonymous], 2000, WORLD WATER 2025 GLO
   [Anonymous], STERN REV EC CLIMATE
   [Anonymous], MAP TECHNICAL REPORT
   [Anonymous], 2002, INT FOOD POLICY RES
   [Anonymous], 2003, VALUE WATER RES REPO
   [Anonymous], WATER FUTURES REV GL
   [Anonymous], REV HTE SEP
   [Anonymous], ENVEPOCGSP201021 OEC
   [Anonymous], MED EN PERSP
   [Anonymous], 2008, 42008 EEA JTCWHO
   [Anonymous], 2011, IPCC SPECIAL REPORT
   [Anonymous], MAP TECHNICAL REPORT
   [Anonymous], 1997, 1997 BRIT ASS FEST S
   [Anonymous], WAT FOOD EN CLIM NEX
   [Anonymous], REV MEDENER JAN
   [Anonymous], 2008, IOM MIGRATION RES SE
   [Anonymous], EAU VIRTUELLE PAYS M
   [Anonymous], SUSTAINING OUR WATER
   [Anonymous], 50 U LOND STUD GROUP
   [Anonymous], AQ DAT
   [Anonymous], DECOUVERTE COLLECTIO
   [Anonymous], 2006, WORLD DEV IND DAT
   [Anonymous], CHANGEMENT CLIMATIQU
   [Anonymous], 462001 FEEM
   [Anonymous], 2011, Climate change, water and food security, FAO water reports 36
   [Anonymous], VIRTUAL WATER TRADE
   [Anonymous], C ORG 16 JANV 2006 G
   [Anonymous], 2007, MAKING MOST SCARCITY
   [Anonymous], 2009, EMSEMBLES CLIMATE CH
   [Anonymous], CONTRIBUTION WORKING, DOI [DOI 10.1017/CBO9781107415324, 10.1017/CBO9781107415324]
   Baroudy E., 2005, Managing Water Demand
   Barrios S, 2006, J URBAN ECON, V60, P357, DOI 10.1016/j.jue.2006.04.005
   Bazilian M, 2011, ENERG POLICY, V39, P7896, DOI 10.1016/j.enpol.2011.09.039
   Beaumont P, 2002, INT J WATER RESOUR D, V18, P315, DOI 10.1080/07900620220135120
   Benoit Guillaume., 2005, A Sustainable Future for the Mediterranean: The Blue Plan's Environment and Development Outlook
   Brooks D., 2007, WATER DEMAND MANAGEM
   Brooks DB, 2006, INT J WATER RESOUR D, V22, P521, DOI 10.1080/07900620600779699
   Chapagain A.K., 2004, Water footprints of nations, V16, DOI DOI 10.1016/j.ecolecon.2007.02.022
   Döll P, 2002, CLIMATIC CHANGE, V54, P269, DOI 10.1023/A:1016124032231
   Ebinger J., 2011, Climate Impacts on Energy Systems : Key Issues for Energy Sector Adaptation, DOI [10.1596/978-0-8213-8697, DOI 10.1596/978-0-8213-8697, 10.1596/978-0-8213-8697.]
   EHRLICH PR, 1971, SCIENCE, V171, P1212, DOI 10.1126/science.171.3977.1212
   FAO, 2003, REV WORLD WAT RES CO
   Fraiture C., 2004, Does International Cereal Trade Save Water? The Impact of Virtual Water Trade on Global Water Use
   Fronzek S, 2007, CLIMATIC CHANGE, V81, P357, DOI 10.1007/s10584-006-9214-3
   García-Ruiz JM, 2011, EARTH-SCI REV, V105, P121, DOI 10.1016/j.earscirev.2011.01.006
   Giannakopoulos C, 2009, GLOBAL PLANET CHANGE, V68, P209, DOI 10.1016/j.gloplacha.2009.06.001
   Giannakopoulos C, 2006, CLIM RES, V31, P97, DOI 10.3354/cr031097
   Glassman D., 2011, WATER ENERGY NEXUS A
   Gleick PH, 2003, SCIENCE, V302, P1524, DOI 10.1126/science.1089967
   Gleick PH, 1996, WATER INT, V21, P83, DOI 10.1080/02508069608686494
   Hakimian H., 2003, REV MIDDLE E EC FINA, V1, P71, DOI DOI 10.1080/1475368032000061653
   Hamududu B, 2012, ENERGIES, V5, P305, DOI 10.3390/en5020305
   Hanjra MA, 2010, FOOD POLICY, V35, P365, DOI 10.1016/j.foodpol.2010.05.006
   HARDIN G, 1968, SCIENCE, V162, P1243, DOI 10.1126/science.162.3859.1243
   Hoekstra ArjenY., 2003, Proceedings of the International Expert Meeting on Virtual Water Trade 12, Delft, 2003, P25
   Hoekstra AY, 2005, GLOBAL ENVIRON CHANG, V15, P45, DOI 10.1016/j.gloenvcha.2004.06.004
   Kundzewicz ZW, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P173
   LAAMRANI H, 2007, GESTION DEMANDE EAU
   Lelieveld J, 2012, CLIMATIC CHANGE, V114, P667, DOI 10.1007/s10584-012-0418-4
   Levy P, 2006, 90 TYND CTR CLIM CHA
   Ludwig R, 2011, ENVIRON SCI POLICY, V14, P794, DOI 10.1016/j.envsci.2011.04.003
   Margat J, 2008, EAU MEDITERRANEENS S
   Mideksa TK, 2010, ENERG POLICY, V38, P3579, DOI 10.1016/j.enpol.2010.02.035
   Milly PCD, 2005, NATURE, V438, P347, DOI 10.1038/nature04312
   OKI T, 2003, IAHS PUBLICATION, V280
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Rached E, 2010, INT J WATER RESOUR D, V26, P141, DOI 10.1080/07900621003693321
   Raskin P., 1997, UN COMM SUST DEV 5 S
   Díaz JAR, 2007, REG ENVIRON CHANGE, V7, P149, DOI 10.1007/s10113-007-0035-3
   Santi E., 2012, Unlocking North Africa's potential through regional integration: Challenges and opportunities
   Seckler D. W., 1998, World water demand and supply, 1990 to 2025: Scenarios and issues
   Siddiqi A, 2011, ENERG POLICY, V39, P4529, DOI 10.1016/j.enpol.2011.04.023
   Sophocleous M., 2004, NAT RESOUR RES, V13, P61, DOI [10.1023/B:NARR.0000032644.16734.f5, DOI 10.1023/B:NARR.0000032644.16734.F5]
   Sowers J, 2011, CLIMATIC CHANGE, V104, P599, DOI 10.1007/s10584-010-9835-4
   Trieb F, 2008, DESALINATION, V220, P165, DOI 10.1016/j.desal.2007.01.030
   Warner JF, 2007, WATER INT, V32, P63, DOI 10.1080/02508060708691965
   Yang H, 2002, WORLD DEV, V30, P1413, DOI 10.1016/S0305-750X(02)00047-5
   Yoffe S, 2004, WATER RESOUR RES, V40, DOI 10.1029/2003WR002530
   Zeitoun M, 2010, GLOBAL ENVIRON CHANG, V20, P229, DOI 10.1016/j.gloenvcha.2009.11.003
   Zhou Y, 2005, WATER RESOUR RES, V41, DOI 10.1029/2004WR003749
   Zimmer D., 2003, Proceedings of the International Expert meeting on Virtual Water Trade, Value of Water-Research Rapport Series, P93
NR 105
TC 3
Z9 3
U1 2
U2 22
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD DEC
PY 2015
VL 15
IS 8
SI SI
BP 1611
EP 1625
DI 10.1007/s10113-014-0706-9
PG 15
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA CW6BP
UT WOS:000365082400011
DA 2025-01-10
ER

PT J
AU Nawrotzki, RJ
   Riosmena, F
   Hunter, LM
   Runfola, DM
AF Nawrotzki, Raphael J.
   Riosmena, Fernando
   Hunter, Lori M.
   Runfola, Daniel M.
TI Amplification or suppression: Social networks and the climate
   change-migration association in rural Mexico
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE International migration; Climate change; Rural Mexico; Social networks;
   Suppression mechanism; Amplification mechanism
ID INTERNATIONAL MIGRATION; OUT-MIGRATION; US MIGRATION; CUMULATIVE
   CAUSATION; COMPETING RISKS; LEVEL EVIDENCE; LATIN-AMERICA; ADAPTATION;
   MAIZE; POPULATION
AB Increasing rates of climate migration may be of economic and national concern to sending and destination countries. It has been argued that social networks the ties connecting an origin and destination may operate as "migration corridors" with the potential to strongly facilitate climate change-related migration. This study investigates whether social networks at the household and community levels amplify or suppress the impact of climate change on international migration from rural Mexico. A novel set of 15 climate change indices was generated based on daily temperature and precipitation data for 214 weather stations across Mexico. Employing geostatistical interpolation techniques, the climate change values were linked to 68 rural municipalities for which sociodemographic data and detailed migration histories were available from the Mexican Migration Project. Multi-level discrete-time event-history models were used to investigate the effect of climate change on international migration between 1986 and 1999. At the household level, the effect of social networks was approximated by comparing the first to the last move, assuming that through the first move a household establishes internal social capital. At the community level, the impact of social capital was explored through interactions with a measure of the proportion of adults with migration experience. The results show that rather than amplifying, social capital may suppress the sensitivity of migration to climate triggers, suggesting that social networks could facilitate climate change adaptation in place. (C) 2015 Elsevier Ltd. All rights reserved.
C1 [Nawrotzki, Raphael J.] Univ Minnesota, Minnesota Populat Ctr, Minneapolis, MN 55455 USA.
   [Riosmena, Fernando; Hunter, Lori M.] Univ Colorado, Inst Behav Sci, CU Populat Ctr, Boulder, CO 80302 USA.
   [Runfola, Daniel M.] Coll William & Mary, Williamsburg, VA 23185 USA.
C3 University of Minnesota System; University of Minnesota Twin Cities;
   University of Colorado System; University of Colorado Boulder; William &
   Mary
RP Nawrotzki, RJ (corresponding author), Univ Minnesota, Minnesota Populat Ctr, 225 19th Ave South,50 Willey Hall, Minneapolis, MN 55455 USA.
EM r.nawrotzki@gmail.com; Fernando.Riosmena@colorado.edu;
   Lori.Hunter@colorado.edu; drunfola@aiddata.org
RI Riosmena, Fernando/AAA-6935-2021; Runfola, Daniel/AAI-7868-2020
OI HUNTER, LORI/0000-0002-3450-9791; Miller Runfola,
   Daniel/0000-0001-5356-4676; Nawrotzki, Raphael/0000-0002-1671-3676
FU Minnesota Population Center [5R24HD041023]; University of Colorado
   Population Center - Eunice Kennedy Shriver National Institute for Child
   Health and Human Development (NICHD) [R24HD066613]; National Science
   Foundation funded Terra Populus project (NSF) [ACI-0940818]; Office of
   Advanced Cyberinfrastructure (OAC); Direct For Computer & Info Scie &
   Enginr [0940818] Funding Source: National Science Foundation
FX This article is based on Chapter VI of Raphael Nawrotzki's dissertation
   titled "Climate Change as a Migration Driver in Mexico, 1986-99". The
   authors gratefully acknowledge support from the Minnesota Population
   Center (5R24HD041023) and the University of Colorado Population Center
   (R24HD066613), funded through grants from the Eunice Kennedy Shriver
   National Institute for Child Health and Human Development (NICHD). In
   addition, this work received support from the National Science
   Foundation funded Terra Populus project (NSF Award ACI-0940818). We
   thank Richard G. Rogers and Fred C. Pampel for insightful comments on
   the substantive contributions of this research and helpful advice on the
   statistical model development. We also express our thanks to Gina Rumore
   for her careful editing and suggestions. And last but not least, special
   thanks to two anonymous reviewers and the journal editors for helpful
   comments and suggestions on earlier drafts of this manuscript.
CR ABAWI GY, 1995, J AGR ENG RES, V62, P39, DOI 10.1006/jaer.1995.1061
   Adamo S.B., 2011, The impact of climate change on the spatial distribution of populations and migration Population distribution, urbanization, internal migration and development: An international perspective, P161
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Adger WN, 2003, ECON GEOGR, V79, P387
   Alexander LV, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P3
   Alexander LV, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006290
   [Anonymous], SIST EST MUN BAS DAT
   [Anonymous], 2001, WCDMP47
   [Anonymous], 2019, Statistical analysis with missing data
   [Anonymous], CLANDESTIONOS MIGRAC
   [Anonymous], TERR POP BET VERS MA
   [Anonymous], 2002, Missing Data
   [Anonymous], CLIMATE CHNAGE 2013
   [Anonymous], 2003, 2 LDCS INT I ENV DEV
   [Anonymous], R PACKAGE CLIMADEX P
   [Anonymous], 2012, FAO IRRIGATION DRAIN
   [Anonymous], DETERMINANTS MEXICO
   [Anonymous], 2009, Multiple Imputation for Nonresponse in Surveys
   [Anonymous], 1984, EVENT HIST ANAL
   [Anonymous], INT PUBL US MICR SER
   [Anonymous], 2010, LME4 MIXED EFFECTS M
   [Anonymous], GIS FUNDAMENTALS 1 T
   Ashraf M, 1999, PLANT SCI, V144, P35, DOI 10.1016/S0168-9452(99)00055-2
   Aznar JC, 2013, INT J CLIMATOL, V33, P758, DOI 10.1002/joc.3468
   Barber JS, 2000, SOCIOL METHODOL, V30, P201, DOI 10.1111/0081-1750.00079
   Bardsley DK, 2010, POPUL ENVIRON, V32, P238, DOI 10.1007/s11111-010-0126-9
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Caesar J, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006280
   Çakir R, 2004, FIELD CROP RES, V89, P1, DOI 10.1016/j.fcr.2004.01.005
   Carney D., 1999, LIVELIHOODS APPROACH
   Carr DL, 2009, POPUL ENVIRON, V30, P222, DOI 10.1007/s11111-009-0090-4
   Cohen JeffreyH., 2004, CULTURE MIGRATION SO
   Cornelius Wayne., 1992, U.S.-Mexico Relations: Labor Market Interdependence
   Curran SR, 2003, DEMOGRAPHY, V40, P289, DOI 10.1353/dem.2003.0011
   Danielson J. J., 2010, GLOBAL MULTIRESOLUTI, V34, DOI 10.3133/ofr20111073
   Davis B, 2002, POP STUD-J DEMOG, V56, P291, DOI 10.1080/00324720215936
   De Janvry A, 2001, WORLD DEV, V29, P467, DOI 10.1016/S0305-750X(00)00113-3
   Donat MG, 2013, J GEOPHYS RES-ATMOS, V118, P2098, DOI 10.1002/jgrd.50150
   Eakin H, 2005, WORLD DEV, V33, P1923, DOI 10.1016/j.worlddev.2005.06.005
   Feng SZ, 2012, P NATL ACAD SCI USA, V109, pE2915, DOI 10.1073/pnas.1212226109
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fussell E, 2004, DEMOGRAPHY, V41, P151, DOI 10.1353/dem.2004.0003
   Fussell E, 2004, SOC FORCES, V82, P937, DOI 10.1353/sof.2004.0039
   Garzón-Machado V, 2014, INT J BIOMETEOROL, V58, P887, DOI 10.1007/s00484-013-0670-y
   Granovetter M, 1983, SOCIOLOGICAL THEORY, P201, DOI [10.2307/202051, DOI 10.2307/202051]
   Gray C, 2013, DEMOGRAPHY, V50, P1217, DOI 10.1007/s13524-012-0192-y
   Gray C, 2012, WORLD DEV, V40, P134, DOI 10.1016/j.worlddev.2011.05.023
   Gray CL, 2010, ENVIRON PLANN A, V42, P678, DOI 10.1068/a42170
   Gray CL, 2009, WORLD DEV, V37, P457, DOI 10.1016/j.worlddev.2008.05.004
   Gubert F., 2002, Oxford Development Studies, V30, P267, DOI 10.1080/1360081022000012699
   Gutmann MP, 2010, POPUL ENVIRON, V31, P3, DOI 10.1007/s11111-009-0088-y
   Hamilton ER, 2011, SOC FORCES, V90, P661, DOI 10.1093/sf/sor011
   Henry S, 2004, POPUL ENVIRON, V25, P423, DOI 10.1023/B:POEN.0000036928.17696.e8
   HEVESI JA, 1992, J APPL METEOROL, V31, P661, DOI 10.1175/1520-0450(1992)031<0661:PEIMTU>2.0.CO;2
   Honaker J, 2011, J STAT SOFTW, V45, P1
   Honaker J, 2010, AM J POLIT SCI, V54, P561, DOI 10.1111/j.1540-5907.2010.00447.x
   Hunter LM, 2014, POPUL ENVIRON, V35, P231, DOI 10.1007/s11111-014-0202-7
   Hunter LM, 2013, INT MIGR REV, V47, P874, DOI 10.1111/imre.12051
   Keleman A, 2009, GEOGR J, V175, P52, DOI 10.1111/j.1475-4959.2008.00314.x
   Kozdrój J, 2000, SOIL BIOL BIOCHEM, V32, P1405, DOI 10.1016/S0038-0717(00)00058-4
   Kugler TA, 2015, J MAP GEOGR LIBR, V11, P180, DOI 10.1080/15420353.2015.1036484
   Lindstrom DP, 2001, INT MIGR REV, V35, P1232
   Lobell DB, 2007, ENVIRON RES LETT, V2, DOI 10.1088/1748-9326/2/1/014002
   LoBreglio Kiera., 2004, ST JOHNS LAW REV, V78, P933
   LUSTIG N, 1990, WORLD DEV, V18, P1325, DOI 10.1016/0305-750X(90)90113-C
   MARTIN PL, 1990, INT MIGR REV, V24, P69, DOI 10.2307/2546672
   Massey D.S., 1987, Return to Aztlan: The Social Process of International Migration from Western Mexico
   Massey Douglas S, 2011, Int J Popul Res, V2011, P1
   Massey DS, 2015, J ETHN MIGR STUD, V41, P1015, DOI 10.1080/1369183X.2014.986079
   Massey DS, 2010, POPUL ENVIRON, V32, P109, DOI 10.1007/s11111-010-0119-8
   Massey DS, 2010, ANN AM ACAD POLIT SS, V630, P294, DOI 10.1177/0002716210368114
   Massey DouglasS., 2002, Beyond Smoke and Mirrors: Mexican Immigration in an Era of Economic Integration
   Massey DS, 1998, SOC SCI QUART, V79, P1
   MASSEY DS, 1987, INT MIGR REV, V21, P1498, DOI 10.2307/2546522
   Massey DS, 2000, INT MIGR REV, V34, P766, DOI 10.2307/2675944
   MASSEY DS, 1987, AM J SOCIOL, V92, P1372, DOI 10.1086/228669
   Massey DS, 2004, INT MIGR REV, V38, P1075
   MASSEY DS, 1987, SCIENCE, V237, P733, DOI 10.1126/science.237.4816.733
   MASSEY DS, 1993, POPUL DEV REV, V19, P431, DOI 10.2307/2938462
   MASSEY DS, 1990, POPUL INDEX, V56, P3, DOI 10.2307/3644186
   Massey DS, 1997, AM J SOCIOL, V102, P939, DOI 10.1086/231037
   Matheron G., 1971, CAHIERS CTR MORPHOLO
   McKenzie DJ, 2006, ECON DEV CULT CHANGE, V55, P139, DOI 10.1086/505721
   McLeman R, 2006, CLIMATIC CHANGE, V76, P31, DOI 10.1007/s10584-005-9000-7
   Mendelsohn R, 2007, CLIMATIC CHANGE, V81, P61, DOI 10.1007/s10584-005-9009-y
   Menjivar C., 2000, Fragmented ties: Salvadoran immigrant networks in America
   Menne MJ, 2012, J ATMOS OCEAN TECH, V29, P897, DOI 10.1175/JTECH-D-11-00103.1
   Mueller V, 2014, NAT CLIM CHANGE, V4, P182, DOI [10.1038/nclimate2103, 10.1038/NCLIMATE2103]
   Munshi K, 2003, Q J ECON, V118, P549, DOI 10.1162/003355303321675455
   Nawrotzki RJ, 2013, POPUL RES POLICY REV, V32, P129, DOI 10.1007/s11113-012-9251-8
   Nawrotzki RJ, 2012, ORGAN ENVIRON, V25, P286, DOI 10.1177/1086026612456535
   Payero JO, 2006, AGR WATER MANAGE, V84, P101, DOI 10.1016/j.agwat.2006.01.009
   Pelling M, 2005, GLOBAL ENVIRON CHANG, V15, P308, DOI 10.1016/j.gloenvcha.2005.02.001
   Peterson TC, 2008, B AM METEOROL SOC, V89, P1266, DOI 10.1175/2008BAMS2501.1
   Pretty J, 2001, WORLD DEV, V29, P209, DOI 10.1016/S0305-750X(00)00098-X
   Riosmena F, 2004, CROSSING THE BORDER, P265
   Riosmena F, 2009, SOC SCI RES, V38, P324, DOI 10.1016/j.ssresearch.2008.12.001
   Rosenzweig C, 2002, GLOBAL ENVIRON CHANG, V12, P197, DOI 10.1016/S0959-3780(02)00008-0
   Ruggles S, 2003, HIST METHOD, V36, P60, DOI 10.1080/01615440309601215
   Ruiter S, 2006, AM SOCIOL REV, V71, P191, DOI 10.1177/000312240607100202
   Saldaña-Zorrilla SO, 2009, DISASTERS, V33, P591, DOI 10.1111/j.1467-7717.2008.01089.x
   Sánchez B, 2014, GLOBAL CHANGE BIOL, V20, P408, DOI 10.1111/gcb.12389
   SCHOPER JB, 1987, CROP SCI, V27, P27, DOI 10.2135/cropsci1987.0011183X002700010007x
   Scoones I., 1999, Sustainable rural livelihoods: A framework for analysis
   Singer D., 2003, APPL LONGITUDINAL DA
   STARK O, 1985, AM ECON REV, V75, P173
   Steele F, 1996, J ROY STAT SOC A STA, V159, P289, DOI 10.2307/2983175
   Steele F, 2004, STAT MODEL, V4, P145, DOI 10.1191/1471082X04st069oa
   Steele F., 2005, Event History Analysis
   Tank AMGK, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006316
   Taylor JE, 1996, POPUL INDEX, V62, P397, DOI 10.2307/3645924
   Team RC, 2014, R: A Language and Environment for Statistical Computing
   TOLLENAAR M, 1988, AGRON J, V80, P580, DOI 10.2134/agronj1988.00021962008000040008x
   Warner K, 2013, INT J GLOBAL WARM, V5, P367, DOI 10.1504/IJGW.2013.057289
   Yang D, 2007, WORLD BANK ECON REV, V21, P219, DOI 10.1093/wber/lhm003
   Zaidi PH, 2003, EUR J AGRON, V19, P383, DOI 10.1016/S1161-0301(02)00090-4
NR 116
TC 55
Z9 60
U1 3
U2 51
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0959-3780
EI 1872-9495
J9 GLOBAL ENVIRON CHANG
JI Glob. Environ. Change-Human Policy Dimens.
PD NOV
PY 2015
VL 35
BP 463
EP 474
DI 10.1016/j.gloenvcha.2015.09.002
PG 12
WC Environmental Sciences; Environmental Studies; Geography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA CZ0AI
UT WOS:000366767100041
PM 26692656
OA Green Accepted, Bronze
DA 2025-01-10
ER

PT J
AU Reckien, D
   Flacke, J
   Olazabal, M
   Heidrich, O
AF Reckien, Diana
   Flacke, Johannes
   Olazabal, Marta
   Heidrich, Oliver
TI The Influence of Drivers and Barriers on Urban Adaptation and Mitigation
   Plans-An Empirical Analysis of European Cities
SO PLOS ONE
LA English
DT Article
ID CLIMATE-CHANGE ADAPTATION; ADAPTIVE CAPACITY; GLOBAL CLIMATE; CHANGE
   POLICY; VULNERABILITY; AREAS; INFORMATION; GOVERNANCE; FRAMEWORK;
   KNOWLEDGE
AB Cities are recognised as key players in global adaptation and mitigation efforts because the majority of people live in cities. However, in Europe, which is highly urbanized and one of the most advanced regions in terms of environmental policies, there is considerable diversity in the regional distribution, ambition and scope of climate change responses. This paper explores potential factors contributing to such diversity in 200 large and medium-sized cities across 11 European countries. We statistically investigate institutional, socioeconomic, environmental and vulnerability characteristics of cities as potential drivers of or barriers to the development of urban climate change plans. Our results show that factors such as membership of climate networks, population size, GDP per capita and adaptive capacity act as drivers of mitigation and adaptation plans. By contrast, factors such as the unemployment rate, warmer summers, proximity to the coast and projected exposure to future climate impacts act as barriers. We see that, overall, it is predominantly large and prosperous cities that engage in climate planning, while vulnerable cities and those at risk of severe climate impacts in the future are less active. Our analysis suggests that climate change planning in European cities is not proactive, i.e. not significantly influenced by anticipated future impacts. Instead, we found that the current adaptive capacity of a city significantly relates to climate planning. Along with the need to further explore these relations, we see a need for more economic and institutional support for smaller and less resourceful cities and those at high risk from climate change impacts in the future.
C1 [Reckien, Diana] Columbia Univ, Ctr Res Environm Decis, New York, NY 10027 USA.
   [Flacke, Johannes] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, NL-7500 AE Enschede, Netherlands.
   [Olazabal, Marta] Basque Ctr Climate Change BC3, Bilbao, Spain.
   [Olazabal, Marta] Univ Cambridge, Dept Land Econ, Cambridge, England.
   [Heidrich, Oliver] Newcastle Univ, Sch Civil Engn & Geosci, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England.
C3 Columbia University; University of Twente; Basque Centre for Climate
   Change (BC3); University of Cambridge; Newcastle University - UK
RP Reckien, D (corresponding author), Columbia Univ, Ctr Res Environm Decis, New York, NY 10027 USA.
EM d.reckien@utwente.nl
RI Olazabal, Marta/AFT-6957-2022; Reckien, Diana/P-7348-2015; Flacke,
   Johannes/C-9941-2013; Olazabal, Marta/C-3027-2008
OI Reckien, Diana/0000-0002-1145-9509; Flacke,
   Johannes/0000-0001-8906-7719; Heidrich, Oliver/0000-0002-6581-5572;
   Olazabal, Marta/0000-0002-3381-0654
FU European Science Foundation [TU0902]; German Research Foundation [RE
   2927/2-1]; Engineering & Physical Sciences Research Council Fellowship
   [EP/H003630/1]; EPSRC [EP/K012398/1, EP/H003630/1] Funding Source: UKRI
FX Research undertaken for this paper was conducted as part of the European
   Science Foundation funded COST Action network Integrated assessment
   technologies to support the sustainable development of urban areas
   (TU0902). D.R. was funded by the German Research Foundation (RE
   2927/2-1). O.H. was funded through an Engineering & Physical Sciences
   Research Council Fellowship (EP/H003630/1). The authors thank the city
   representatives and specifically S. Scharf, J.J.-P. Hamann, H. Orru, M.
   Salvia, K. Oinonen, S. De Gregorio, F. Pietrapertosa, D. Geneletti, A.
   M. Foley, V. D'Alonzo, E. Feliu, and S. Reiter for their contributions
   to data gathering. The authors also thank IRPUD, TU Dortmund, and ESPON
   Climate-Climate Change and Territorial Effects on Regions and Local
   Economies in Europe for providing data from the (C) ESPON Database
   (2011).
CR Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Adu-Boateng A, 2015, CURR OPIN ENV SUST, V13, P49, DOI 10.1016/j.cosust.2015.02.001
   Amundsen H, 2010, ENVIRON PLANN C, V28, P276, DOI 10.1068/c0941
   [Anonymous], URB AUD STAT DAT 201
   [Anonymous], CLIM CHANG 2014 IM A
   [Anonymous], 1994, ENV IND OECD COR SET
   [Anonymous], REG ENVIRON CHANGE
   [Anonymous], EUR ENV 2 ASS COP
   [Anonymous], FRAMING VULNERABILIT
   [Anonymous], 2015, MITIG ADAPT STRAT GL, DOI DOI 10.1007/s11027-013-9505-8
   [Anonymous], ESPON CLIM CLIM CHAN
   [Anonymous], URB AUD DAT COLL 201
   [Anonymous], URB AUD REF GUID DAT
   [Anonymous], 2012, Z UMWELTPOLITIK UMWE
   Archie KM, 2014, J ENVIRON MANAGE, V133, P397, DOI 10.1016/j.jenvman.2013.12.015
   Baker I, 2012, LANDSCAPE URBAN PLAN, V107, P127, DOI 10.1016/j.landurbplan.2012.05.009
   Betsill MM, 2004, INT STUD QUART, V48, P471, DOI 10.1111/j.0020-8833.2004.00310.x
   Bettencourt LMA, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0013541
   Brody SD, 2008, LANDSCAPE URBAN PLAN, V87, P33, DOI 10.1016/j.landurbplan.2008.04.003
   Broto VC, 2013, GLOBAL ENVIRON CHANG, V23, P92, DOI 10.1016/j.gloenvcha.2012.07.005
   Bulkeley H., 2009, World Bank Urban Symposium on Climate Change s, P1
   Caragliu A, 2011, J URBAN TECHNOL, V18, P65, DOI 10.1080/10630732.2011.601117
   Corfee-Morlot J, 2011, CLIMATIC CHANGE, V104, P169, DOI 10.1007/s10584-010-9980-9
   Decker EH, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000934
   Dobson, 2014, UNDERSTANDING CITIES, P45
   Dodman D, 2011, CURR OPIN ENV SUST, V3, P121, DOI 10.1016/j.cosust.2010.12.013
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   Eriksen S., 2008, Climate change in Eastern and Southern Africa: Impacts, vulnerability and adaptation
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Füssel HM, 2007, GLOBAL ENVIRON CHANG, V17, P155, DOI 10.1016/j.gloenvcha.2006.05.002
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   Garb Y, 2008, ENVIRON RES LETT, V3, DOI 10.1088/1748-9326/3/4/045015
   Garschagen M, 2015, CLIMATIC CHANGE, V133, P37, DOI 10.1007/s10584-013-0812-6
   Girvetz EH, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0008320
   González-Eguino M, 2011, ECOL ECON, V70, P2292, DOI 10.1016/j.ecolecon.2011.05.023
   Granberg M, 2007, LOCAL ENVIRON, V12, P537, DOI 10.1080/13549830701656911
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Hardoy J, 2011, CURR OPIN ENV SUST, V3, P158, DOI 10.1016/j.cosust.2011.01.004
   Harvey J, 2014, PROC INST CIV ENG-U, V167, P165, DOI 10.1680/udap.14.00001
   Heidrich O, 2013, CLIMATIC CHANGE, V120, P771, DOI 10.1007/s10584-013-0846-9
   Hinkel J, 2011, GLOBAL ENVIRON CHANG, V21, P198, DOI 10.1016/j.gloenvcha.2010.08.002
   Hulme M., 2007, Limits and Barriers To Adaptation
   Hurtado S.D.G., 2014, Implications of Governance Structures on Urban Climate Action: Evidence from Italy and Spain
   Johnson CA, 2013, NAT CLIM CHANGE, V3, P537, DOI 10.1038/nclimate1912
   Juhola S, 2015, MITIG ADAPT STRAT GL, V20, P99, DOI 10.1007/s11027-013-9481-z
   Klein RJT, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P899
   Klinenberg E., 2015, Heat Wave: A Social Autopsy of Disaster in Chicago
   Kousky C, 2003, CLIM POLICY, V3, P359, DOI 10.1016/j.clipol.2003.08.002
   Kriegler E, 2012, GLOBAL ENVIRON CHANG, V22, P807, DOI 10.1016/j.gloenvcha.2012.05.005
   Lamb WF, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/1/014011
   Lankao PR, 2011, CURR OPIN ENV SUST, V3, P142, DOI 10.1016/j.cosust.2010.12.016
   Lindseth G., 2004, Local Environ, V9, P325, DOI DOI 10.1080/1354983042000246252
   Lobo J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0058407
   Lorenzoni I, 2007, GLOBAL ENVIRON CHANG, V17, P445, DOI 10.1016/j.gloenvcha.2007.01.004
   Malka A, 2009, RISK ANAL, V29, P633, DOI 10.1111/j.1539-6924.2009.01220.x
   Marx SM, 2007, GLOBAL ENVIRON CHANG, V17, P47, DOI 10.1016/j.gloenvcha.2006.10.004
   McEvoy D, 2006, P I CIVIL ENG-MUNIC, V159, P185, DOI 10.1680/muen.2006.159.4.185
   Milfont TL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0103180
   Millard-Ball A, 2012, J URBAN ECON, V71, P289, DOI 10.1016/j.jue.2011.12.004
   Minx J, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/3/035039
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   O'Brien K, 2006, AMBIO, V35, P50, DOI 10.1579/0044-7447(2006)35[50:QCCCIV]2.0.CO;2
   OECD, 2004, OECD COMM STAT 7 8 J
   Olazabal M., 2014, How are Italian and Spanish cities tackling climate change? A local comparative study
   Parson EA, 2008, ENVIRON RES LETT, V3, DOI 10.1088/1748-9326/3/4/045016
   Patt A., 2010, Making climate change work for us: European perspectives on adaptation and mitigation strategies, ADAM book series from Cambridge University Press, P369
   Posey J, 2009, GLOBAL ENVIRON CHANG, V19, P482, DOI 10.1016/j.gloenvcha.2009.06.003
   Pradhan N.S., 2012, Role of Policy and Institutions in Local Adaptation to Climate Change
   Reckien D, 2014, CLIMATIC CHANGE, V122, P331, DOI 10.1007/s10584-013-0989-8
   Reckien D, 2007, URBAN STUD, V44, P339, DOI 10.1080/00420980601136588
   Reckien D, 2014, GLOBAL ENVIRON CHANG, V26, P1, DOI 10.1016/j.gloenvcha.2014.03.005
   Reckien D, 2013, SUSTAIN SCI, V8, P159, DOI 10.1007/s11625-012-0179-z
   Reckien D, 2011, ENVIRON MODEL ASSESS, V16, P465, DOI 10.1007/s10666-011-9254-6
   Revi A, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P535
   Romero-Lankao P, 2012, GLOBAL ENVIRON CHANG, V22, P670, DOI 10.1016/j.gloenvcha.2012.04.002
   Rosenzweig C, 2010, NATURE, V467, P909, DOI 10.1038/467909a
   Rutland T, 2008, ENVIRON PLANN D, V26, P627, DOI 10.1068/d6907
   Schreurs MA, 2007, GLOBAL ENVIRON POLIT, V7, P19, DOI 10.1162/glep.2007.7.4.19
   Seto KC, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P923
   Slocum R, 2004, ENVIRON PLANN A, V36, P763, DOI 10.1068/a36139
   Slovic P., 2000, RISK PERCEPTION
   Spence A, 2011, NAT CLIM CHANGE, V1, P46, DOI [10.1038/nclimate1059, 10.1038/NCLIMATE1059]
   Stone B, 2012, LANDSCAPE URBAN PLAN, V107, P263, DOI 10.1016/j.landurbplan.2012.05.014
   Tribbia J, 2008, ENVIRON SCI POLICY, V11, P315, DOI 10.1016/j.envsci.2008.01.003
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   Wheeler S, 2008, J AM PLANN ASSOC, V74, P481, DOI 10.1080/01944360802377973
NR 86
TC 115
Z9 125
U1 2
U2 56
PU PUBLIC LIBRARY SCIENCE
PI SAN FRANCISCO
PA 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA
SN 1932-6203
J9 PLOS ONE
JI PLoS One
PD AUG 28
PY 2015
VL 10
IS 8
AR e0135597
DI 10.1371/journal.pone.0135597
PG 21
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA CQ0PO
UT WOS:000360299100036
PM 26317420
OA Green Submitted, Green Published, gold
DA 2025-01-10
ER

PT J
AU Udmale, P
   Ichikawa, Y
   Manandhar, S
   Ishidaira, H
   Kiem, AS
AF Udmale, Parmeshwar
   Ichikawa, Yutaka
   Manandhar, Sujata
   Ishidaira, Hiroshi
   Kiem, Anthony S.
TI Farmers' perception of drought impacts, local adaptation and
   administrative mitigation measures in Maharashtra State, India
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Climate change adaptation; Agriculture; Local drought impacts
ID CLIMATE-CHANGE; VARIABILITY; GROUNDWATER; POLICY; BASIN
AB Recurring drought is a major challenge in the Drought Prone Area of Maharashtra State in India. Agriculture (e.g., rainfed cropping and livestock) is the major income activity ()lover 64% of the state's population. The objective of this study is to understand the rural farming community's perception of drought impacts on their socio-economic activities and environment, their adaptation at the household level and opinions on government drought mitigation measures. This study is based on both secondary and primary data collected via a survey of 223 farming households. The results show that decrease in yield of cereals, horticultural crops, livestock production and loss of employment, all associated with decreased income of farmers, were the most immediate economic impacts of drought. Social impacts such as population migration, impacts on health and schooling of children, hopelessness and sense of loss, conflicts in society for water, and malnutrition due to changed food preferences were also reported. The environmental impacts such as increases in average atmospheric temperature, pasture-forest degradation, deteriorated water quality, damage to fish habitat wild life, and groundwater depletion were perceived by farmers to high extent. In spite of good perception of severity of drought impacts by farmers and their familiarity with various adaptation options, the preference given for their adoption in agriculture was not good enough. Also to mitigate drought, the government provided various mitigation measures, but the level of satisfaction amongst farmers was low. It is expected that this study will help policy makers to develop more appropriate drought adaptation policies in India. (C) 2014 The Authors. Published by Elsevier Ltd.
C1 [Udmale, Parmeshwar; Ichikawa, Yutaka; Ishidaira, Hiroshi] Univ Yamanashi, Int Res Ctr River Basin Environm, Kofu, Yamanashi 4008511, Japan.
   [Manandhar, Sujata] Tohoku Univ, Dept Civil Engn, Sendai, Miyagi 9808579, Japan.
   [Kiem, Anthony S.] Univ Newcastle, Ctr Water Climate & Land Use CWCL, Sch Environm & Life Sci, Fac Sci & Informat Technol, Callaghan, NSW 2308, Australia.
C3 University of Yamanashi; Tohoku University; University of Newcastle
RP Udmale, P (corresponding author), Univ Yamanashi, Int Res Ctr River Basin Environm, Takeda 4-3-11, Kofu, Yamanashi 4008511, Japan.
EM pd.udmale@gmail.com
RI Udmale, Parmeshwar/ABF-3433-2020; Ichikawa, Yutaka/AAO-8862-2021; Kiem,
   Anthony/D-9307-2013
OI Kiem, Anthony/0000-0002-3994-6958
FU Ministry of Education, Culture, Sports, Science and Technology
   (Monbukagakusyo: MEXT), Japan; University of Yamanashi, Japan
FX Authors would like to express their sincere gratitude to the Ministry of
   Education, Culture, Sports, Science and Technology (Monbukagakusyo:
   MEXT), Japan and University of Yamanashi, Japan for providing financial
   assistance to this study.
CR Agrawal Arun., 2008, ROLE LOCAL I ADAPTAT, DOI [10.1596/28274, 10.1007/978-0-387-75217-4_1]
   [Agriculture census commissioner Government of India], 2010, ALL IND REP NUMB AR
   Alipour H, 2013, WATERSHED MANAG RES, V26, P113
   [Anonymous], 2014, FARM SUIC IND
   [Anonymous], ACCELERATING ADOPTIO
   [Anonymous], 2004, B AM METEOROL SOC, V85, P771
   [Anonymous], 2001, NEG APPR FACT SHEET
   [Anonymous], THESIS
   [Anonymous], 1963, Tables for statistics
   Ashraf M, 2013, INT J DISAST RISK RE, V5, P49, DOI 10.1016/j.ijdrr.2013.05.002
   Bates B., 2008, Climate change and water, DOI DOI 10.1029/90EO00112
   Bhattacharyya K., 2004, Working Paper, 91
   Bowling A, 2005, J PUBLIC HEALTH-UK, V27, P281, DOI 10.1093/pubmed/fdi031
   Bryan E, 2010, 3A WORLD BANK IFPRI
   Choi Bernard C K, 2005, Prev Chronic Dis, V2, pA13
   Colosi L., 2006, Designing an effective questionnaire
   Dagel KC, 1997, PROF GEOGR, V49, P192, DOI 10.1111/0033-0124.00069
   de Leeuw E.D., 1992, DATA QUALITY MAIL TE
   Dhaka B., 2010, LIBYAN AGR RES CTR J, V1, P388
   Disaster Prevention Organization, 2012, DROUGHT STAT
   Dziegielewski B, 1997, LESSONS LEARNED CALI, P277
   Field A., 2013, DISCOVERING STAT USI, V4th ed.
   Fielke SJ, 2014, LAND USE POLICY, V39, P301, DOI 10.1016/j.landusepol.2014.02.006
   Food and Agriculture Organization (FAO), AQUASTAT DAT 2013
   Forster P, 2012, FOOD SECURITY NEAR F
   Gandure S, 2013, ENVIRON DEV, V5, P39, DOI 10.1016/j.envdev.2012.11.004
   Garg KK, 2012, IRRIG DRAIN, V61, P60, DOI 10.1002/ird.618
   Gartley ML, 2009, P 18 WORLD IMACS MOD
   Glwadys A., 2009, Understanding Farmers' Perceptions and Adaptations to Climate Change and Variability
   Government of Maharashtra, 2014, DAM STOR
   Government of Maharashtra, 2013, DROUGHT MEM DROUGHT
   Government of Maharashtra, 2014, CROPW DISTR AR PROD
   Government of Maharashtra, 2013, EC SURV MAH 2012 13
   Habiba U, 2012, INT J DISAST RISK RE, V1, P72, DOI 10.1016/j.ijdrr.2012.05.004
   Hanigan IC, 2012, P NAT AC SCI
   Hewitt K., 1997, Regions of risk. A geographical introduction to disasters, DOI DOI 10.1007/s10666-008-9179-x
   Hirway Indira., 2000, ECON POLIT WEEKLY, V35, P3106
   India Meteorological Department, 2002, SW MONS 2002 END SEA
   Karpisheh L., 2010, World Applied Sciences Journal, V10, P1122
   Keshavarz M, 2013, LAND USE POLICY, V30, P120, DOI 10.1016/j.landusepol.2012.03.003
   Kiem AS, 2013, GLOBAL ENVIRON CHANG, V23, P1615, DOI 10.1016/j.gloenvcha.2013.09.006
   Kiem AS, 2013, GLOBAL ENVIRON CHANG, V23, P1307, DOI 10.1016/j.gloenvcha.2013.06.003
   Knutson C., 1998, How to reduce drought risk
   Koohafkan P., 2008, WATER CEREALS DRYLAN, P25
   Kumar KN, 2013, WEATHER CLIM EXTREME, V1, P42, DOI 10.1016/j.wace.2013.07.006
   Manandhar S, 2011, REG ENVIRON CHANGE, V11, P335, DOI 10.1007/s10113-010-0137-1
   Massarutto A, 2013, 9 DROUGHT R SPI PROJ
   Ministry of Agriculture Government of India, 2012, CRIS MAN PLAN DROUGH
   Ministry of Water Resources Government of India, 2003, ANN REP 2003
   Mishra AK, 2010, J HYDROL, V391, P204, DOI 10.1016/j.jhydrol.2010.07.012
   Mukherjee S, 2009, WHAT DETERMINES SUCC
   National Weather Service (NWS), 2008, DROUGHT PUBL FACT SH
   OBASI GOP, 1994, B AM METEOROL SOC, V75, P1655, DOI 10.1175/1520-0477(1994)075<1655:WRITID>2.0.CO;2
   Olsson O., 2009, D31 XER PROJ
   Pallant J., 2020, SPSS Survival Manual: A Step by Step Guide to Data Analysis using IBM SPSS, VSeventh
   Pandey S., 2009, IFAD Occasional Paper No. 7
   Pangapanga PI, 2012, INT J DISAST RISK RE, V2, P57, DOI 10.1016/j.ijdrr.2012.08.002
   Paul BK, 1998, APPL GEOGR, V18, P355, DOI 10.1016/S0143-6228(98)00026-5
   Pavelic P, 2012, AGR WATER MANAGE, V103, P78, DOI 10.1016/j.agwat.2011.10.019
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Quelhas A, BIASES QUESTIONNAIRE
   Rao V., 1999, POVERTY PUBLIC CELEB
   Rathore M., 2005, STATE LEVEL ANAL DRO
   Roy A.K., 2007, Multiple Impacts of Droughts and Assessment of Drought Policy in Major Drought Prone States in India, Project Report: Centre for Development Alternatives
   Sahu NC, 2013, P ICESD 2013 DUB UAE
   Sharma GN, 2012, MGNREGA WORKS FIELD
   Siebert S, 2008, GLOB MAP IRR AR VERS
   Singh NP, 2014, WEATHER CLIM EXTREME, V3, P54, DOI 10.1010/j.wace.2014.02.002
   Statistics Division Department of Economic and Social Affairs, 2005, STUD METH F, V98
   Surinaidu L, 2013, HYDROL EARTH SYST SC, V17, P507, DOI 10.5194/hess-17-507-2013
   Symboisis Institute of Business Managament, 2012, BEACON 2012 MAN REV
   Szolnoki G., 2013, WINE EC POLICY, V2, P57, DOI [10.1016/j.wep.2013.10.001, DOI 10.1016/J.WEP.2013.10.001]
   TAYLOR JG, 1988, ENVIRON BEHAV, V20, P150, DOI 10.1177/0013916588202002
   United Nations International Strategy for Disaster Reduction Secretariat, 2009, GLOB ASS REP DIS RIS
   Wallander S, 2013, ERR148 USDA EC RES S
   Wetherald RT, 2002, J GEOPHYS RES-ATMOS, V107, DOI 10.1029/2001JD001195
   Wilhite D. A., 1985, Water International, V10, P111, DOI 10.1080/02508068508686328
   Wilhite DA, 2000, J AM WATER RESOUR AS, V36, P697, DOI 10.1111/j.1752-1688.2000.tb04299.x
   Wilhite DA, DROUGHT NATURAL HAZA, P16
   Wilhite DA, 2007, WATER RESOUR MANAG, V21, P763, DOI 10.1007/s11269-006-9076-5
   World Bank, 2003, REP FIN RAP ONS NAT
   World Society for the Protection of Animals, 2013, CAS STUD MAH DROUGHT
NR 82
TC 210
Z9 226
U1 3
U2 72
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD DEC
PY 2014
VL 10
BP 250
EP 269
DI 10.1016/j.ijdrr.2014.09.011
PN A
PG 20
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA CM5NC
UT WOS:000357733900019
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Yan, JW
   Liu, JY
   Chen, BZ
   Feng, M
   Fang, SF
   Xu, G
   Zhang, HF
   Che, ML
   Liang, W
   Hu, YF
   Kuang, WH
   Wang, HM
AF Yan, J. W.
   Liu, J. Y.
   Chen, B. Z.
   Feng, M.
   Fang, S. F.
   Xu, G.
   Zhang, H. F.
   Che, M. L.
   Liang, W.
   Hu, Y. F.
   Kuang, W. H.
   Wang, H. M.
TI Changes in the Land Surface Energy Budget in Eastern China over the Past
   Three Decades: Contributions of Land-Cover Change and Climate Change
SO JOURNAL OF CLIMATE
LA English
DT Article
ID USE/LAND COVER; HEAT FLUXES; WATER-VAPOR; BALANCE; IMPACTS; FOREST;
   MODEL; ALGORITHM; EXCHANGE; SYSTEM
AB Sensible heat flux (H), latent heat flux (LE), and net radiation (NR) are important surface energy components that directly influence climate systems. In this study, the changes in the surface energy and their contributions from global climate change and/or land-cover change over eastern China during the past nearly 30 years were investigated and assessed using a process-based land surface model [ the Ecosystem-Atmosphere Simulation Scheme (EASS)]. The modeled results show that climate change contributed more to the changes of land surface energy fluxes than land-cover change, with their contribution ratio reaching 4:1 or even higher. Annual average temperature increased before 2000 and reversed thereafter; annual total precipitation continually decreased, and incident solar radiation continually increased over the past nearly 30 years. These climatic changes could lead to increased NR, H, and LE, assuming land cover remained unchanged during the past nearly 30 years. Among these meteorological variables, at spatial distribution, the incident solar radiation has the greatest effect on land surface energy exchange. The impacts of land-cover change on the seasonal variations in land surface heat fluxes between the four periods were large, especially for H. The changes in the regional energy fluxes resulting from different land-cover type conversions varied greatly. The conversion from farmland to evergreen coniferous forests had the greatest influence on land surface energy exchange, leading to a decrease in H by 19.39% and an increase in LE and NR by 7.44% and 2.74%, respectively. The results of this study can provide a basis and reference for climate change adaptation.
C1 [Yan, J. W.; Liu, J. Y.; Chen, B. Z.; Fang, S. F.] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China.
   [Yan, J. W.; Xu, G.; Zhang, H. F.; Che, M. L.] Chinese Acad Sci, Grad Univ, Beijing 100101, Peoples R China.
   [Yan, J. W.; Liang, W.] Shaanxi Normal Univ, Dept Tourism & Environm Sci, Xian, Peoples R China.
   [Feng, M.] Univ Maryland, Global Land Cover Facil, Dept Geog Sci, College Pk, MD 20742 USA.
   [Xu, G.; Zhang, H. F.; Che, M. L.; Hu, Y. F.; Kuang, W. H.; Wang, H. M.] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS; Chinese Academy of Sciences; University of
   Chinese Academy of Sciences, CAS; Shaanxi Normal University; University
   System of Maryland; University of Maryland College Park; Chinese Academy
   of Sciences; Institute of Geographic Sciences & Natural Resources
   Research, CAS
RP Chen, BZ (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, 11A,Datun Rd, Beijing 100101, Peoples R China.
EM Baozhang.Chen@igsnrr.ac.cn
RI Chen, Bozhen/IXM-9910-2023; Hu, Yunfeng/A-1242-2019
OI Hu, Yunfeng/0000-0002-6219-6251
FU National Basic Research Program of China (973 Program) [2010CB950902];
   Research Plan of LREIS, CAS [O88RA900PA]; Key Project for the Strategic
   Science Plan in IGSNRR, CAS [2012ZD010]; National Science Foundation of
   China [41271116]; Research Plan of LREIS [O88RA900KA]; Chinese Academy
   of Sciences [XDA05040403]; National High Technology Research and
   Development Program of China [2013AA122002]
FX This work was supported by the National Basic Research Program of China
   (973 Program) (No. 2010CB950902), the Research Plan of LREIS, CAS (Grant
   O88RA900PA), the Key Project for the Strategic Science Plan in IGSNRR,
   CAS (Grant 2012ZD010), the research Grant (41271116) funded by the
   National Science Foundation of China, a Research Plan of LREIS
   (O88RA900KA), CAS, the "One Hundred Talents'' program funded by the
   Chinese Academy of Sciences, the Strategic Priority Research Program ``
   Climate Change: Carbon Budget and Related Issues'' of the Chinese
   Academy of Sciences (Grant XDA05040403), and the National High
   Technology Research and Development Program of China (Grant
   2013AA122002). We acknowledge the agencies that supported the operations
   at the flux towers used here, which are parts of FLUXNET and ChinaFLUX.
CR Allen RG, 2007, J IRRIG DRAIN ENG, V133, P380, DOI [10.1061/(ASCE)0733-9437(2007)133:4(380), 10.1061/(ASCE)0733-9437(2007)133:4(395)]
   Anderson RG, 2011, FRONT ECOL ENVIRON, V9, P174, DOI 10.1890/090179
   Baldocchi D, 2001, B AM METEOROL SOC, V82, P2415, DOI 10.1175/1520-0477(2001)082<2415:FANTTS>2.3.CO;2
   Bastiaanssen WGM, 1998, J HYDROL, V212, P198, DOI 10.1016/S0022-1694(98)00254-6
   Beltrán-Przekurat A, 2012, INT J CLIMATOL, V32, P1206, DOI 10.1002/joc.2346
   [邴龙飞 Bing Longfei], 2012, [地球信息科学学报, Journal of Geo-Information Science], V14, P1
   Boucher O, 2004, CLIM DYNAM, V22, P597, DOI 10.1007/s00382-004-0402-4
   Chen BZ, 2007, ECOL MODEL, V209, P277, DOI 10.1016/j.ecolmodel.2007.06.032
   Chen JM, 1999, ECOL MODEL, V124, P99, DOI 10.1016/S0304-3800(99)00156-8
   Choi M, 2009, AGR FOREST METEOROL, V149, P2082, DOI 10.1016/j.agrformet.2009.07.002
   Claussen M, 2001, GEOPHYS RES LETT, V28, P1011, DOI 10.1029/2000GL012471
   dePury DGG, 1997, PLANT CELL ENVIRON, V20, P537, DOI 10.1111/j.1365-3040.1997.00094.x
   Dickinson RE, 2002, J CLIMATE, V15, P278, DOI 10.1175/1520-0442(2002)015<0278:NCOCME>2.0.CO;2
   Falge E, 2005, ECOL MODEL, V188, P174, DOI 10.1016/j.ecolmodel.2005.01.057
   Ganguly S, 2008, REMOTE SENS ENVIRON, V112, P4318, DOI 10.1016/j.rse.2008.07.013
   Gao ZQ, 2011, HYDROL EARTH SYST SC, V15, P119, DOI 10.5194/hess-15-119-2011
   Gu LH, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2006JD007161
   Hicke JA, 2005, GLOBAL BIOGEOCHEM CY, V19, DOI 10.1029/2004GB002391
   Ibrom A, 2007, ENVIRON SCI ENG, P463
   JARVIS PG, 1995, PLANT CELL ENVIRON, V18, P1079, DOI 10.1111/j.1365-3040.1995.tb00620.x
   Jiang L, 2001, WATER RESOUR RES, V37, P329, DOI 10.1029/2000WR900255
   Kabat P., 2004, VEGETATION WATER HUM
   Kustas WP, 1999, AGR FOREST METEOROL, V94, P13, DOI 10.1016/S0168-1923(99)00005-2
   Li Yi-Jun, 2007, Zhiwu Shengtai Xuebao, V31, P1132
   Li Z, 2009, J HYDROL, V377, P35, DOI 10.1016/j.jhydrol.2009.08.007
   Li ZQ, 2005, SCI CHINA SER D, V48, P51, DOI 10.1360/05zd0005
   Liu JY, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2004GL021649
   Liu JY, 2005, REMOTE SENS ENVIRON, V98, P442, DOI 10.1016/j.rse.2005.08.012
   Lobell D, 2009, J CLIMATE, V22, P2248, DOI 10.1175/2008JCLI2703.1
   Lobell DB, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2005GL025492
   Lu YQ, 2012, J GEOPHYS RES-ATMOS, V117, DOI 10.1029/2011JD016991
   Mahmood R, 2010, B AM METEOROL SOC, V91, P37, DOI 10.1175/2009BAMS2769.1
   Mao DZ, 2009, J HYDROL, V374, P71, DOI 10.1016/j.jhydrol.2009.06.016
   Mauder M, 2006, BOUND-LAY METEOROL, V121, P67, DOI 10.1007/s10546-006-9094-0
   Melesse A., 2008, P NIL HYDR EC EXTR C, P113
   Mishra V, 2010, INT J CLIMATOL, V30, P2025, DOI 10.1002/joc.2095
   Oki T., 2013, CLIMATE SCI SERVING, P185, DOI [10.1080/02626667.2014.967250, DOI 10.1080/02626667.2014.967250, DOI 10.1007/978-94-007-6692-1_7]
   Oncley SP, 2007, BOUND-LAY METEOROL, V123, P1, DOI 10.1007/s10546-007-9161-1
   Pielke RA, 2002, PHILOS T ROY SOC A, V360, P1705, DOI 10.1098/rsta.2002.1027
   Pongratz J, 2006, EARTH INTERACT, V10
   Roerink GJ, 2000, PHYS CHEM EARTH PT B, V25, P147, DOI 10.1016/S1464-1909(99)00128-8
   Sellers PJ, 1997, SCIENCE, V275, P502, DOI 10.1126/science.275.5299.502
   Sterling SM, 2013, NAT CLIM CHANGE, V3, P385, DOI [10.1038/NCLIMATE1690, 10.1038/nclimate1690]
   Su Z, 2002, HYDROL EARTH SYST SC, V6, P85, DOI 10.5194/hess-6-85-2002
   Twine TE, 2004, J HYDROMETEOROL, V5, P640, DOI 10.1175/1525-7541(2004)005<0640:EOLCCO>2.0.CO;2
   von Randow C, 2004, THEOR APPL CLIMATOL, V78, P5, DOI 10.1007/s00704-004-0041-z
   [王晓婷 WANG Xiaoting], 2009, [地球科学进展, Advance in Earth Sciences], V24, P181
   Willmott CJ., 1981, Phys Geogr, V2, P184, DOI [DOI 10.1080/02723646.1981.10642213, 10.1080/02723646.1981.10642213]
   Wilson KB, 2002, WATER RESOUR RES, V38, DOI 10.1029/2001WR000989
   Yuan H, 2011, REMOTE SENS ENVIRON, V115, P1171, DOI 10.1016/j.rse.2011.01.001
   Zhang Q., 2003, CHIN J GEOPHYS, V46, P883, DOI [10.1002/cjg2.408, DOI 10.1002/CJG2.408]
   Zhao Y, 2010, SOIL TILL RES, V109, P75, DOI 10.1016/j.still.2010.04.005
   Zhuang D., 1999, CHINESE GEOGR SCI, V9, P330, DOI [DOI 10.1007/S11769-999-0006-3, 10.1007/s11769-999-0006-3]
NR 53
TC 13
Z9 18
U1 0
U2 59
PU AMER METEOROLOGICAL SOC
PI BOSTON
PA 45 BEACON ST, BOSTON, MA 02108-3693 USA
SN 0894-8755
EI 1520-0442
J9 J CLIMATE
JI J. Clim.
PD DEC
PY 2014
VL 27
IS 24
BP 9233
EP 9252
DI 10.1175/JCLI-D-13-00492.1
PG 20
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA AW1NK
UT WOS:000346055900014
OA hybrid
DA 2025-01-10
ER

PT J
AU Perdinan
   Winkler, JA
AF Perdinan
   Winkler, Julie A.
TI Changing Human Landscapes Under a Changing Climate: Considerations for
   Climate Assessments
SO ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Climate assessments; Uncertainties; Land use land cover change; Climate
   change adaptation
ID CHANGE IMPACT ASSESSMENTS; SCENARIO DEVELOPMENT; COVER CHANGES; CROP
   YIELDS; TEMPERATURE; UNCERTAINTY; SYSTEM; MODEL; AGRICULTURE;
   INFORMATION
AB Climate change is a fundamental aspect of the Anthropocene. Climate assessments are frequently undertaken to evaluate climate change impacts, vulnerability, and adaptive capacity. Assessments are complex endeavors with numerous challenges. Five aspects of a climate assessment that can be particularly challenging are highlighted: choice of assessment strategy, incorporation of spatial linkages and interactions, the constraints of climate observations, interpretation of a climate projection ensemble, uncertainty associated with weather/climate dependency models, and consideration of landscape-climate influences. In addition, a climate assessment strategy that incorporates both traditional "top-down" and "bottom-up" methods is proposed for assessments of adaptation options at the local/regional scale. Uncertainties associated with climate observations and projections and with weather/climate dependency (i.e., response) models are incorporated into the assessment through the "top-down" component, and stakeholder knowledge and experience are included through the "bottom-up" component. Considerable further research is required to improve assessment strategies and the usefulness and usability of assessment findings. In particular, new methods are needed which better incorporate spatial linkages and interactions, yet maintain the fine grain detail needed for decision making at the local and regional scales. Also, new methods are needed which go beyond sensitivity analyses of the relative contribution of land use and land cover changes on local/regional climate to more explicitly consider landscape-climate interactions in the context of uncertain future climates. Assessment teams must clearly communicate the choices made when designing an assessment and recognize the implications of these choices on the interpretation and application of the assessment findings.
C1 [Perdinan; Winkler, Julie A.] Michigan State Univ, Dept Geog, E Lansing, MI 48824 USA.
   [Perdinan] Bogor Agr Univ, Dept Geophys & Meteorol, Gedung FMIPA, Bogor 16680, Jawa Barat, Indonesia.
C3 Michigan State University; Bogor Agricultural University
RP Perdinan (corresponding author), Michigan State Univ, Dept Geog, 118 Geog Bldg, E Lansing, MI 48824 USA.
EM perdinan@msu.edu
FU NSF [CNH 0909378, SES 0622954]; U.S. Environmental Protection Agency
   [R83081401-0]; NOAA Climate Program Office [NA10OAR4310213]; Fulbright
   Presidential Fellowship; Direct For Social, Behav & Economic Scie;
   Division Of Behavioral and Cognitive Sci [0909378] Funding Source:
   National Science Foundation
FX This review was informed by research funded by NSF Award CNH 0909378,
   NSF Award SES 0622954, U.S. Environmental Protection Agency Project
   Number R83081401-0, NOAA Climate Program Office Grant NA10OAR4310213 and
   a Fulbright Presidential Fellowship. The authors particularly express
   their thanks to their colleagues from the Pileus and CLIMARK projects
   for the insights that were provided on climate assessments, and to the
   stakeholders of the sour cherry industry for their invaluable assistance
   and insights.
CR Adams RM, 1998, CLIMATE RES, V11, P19, DOI 10.3354/cr011019
   Aguilar CA, 2006, THESIS MICHIGAN STAT
   [Anonymous], REPORT CLIMATE CHANG
   Asseng S, 2013, NAT CLIM CHANGE, V3, P827, DOI [10.1038/nclimate1916, 10.1038/NCLIMATE1916]
   Auffhammer M, 2013, W19087 NBER
   Balling RC, 2002, GEOPHYS RES LETT, V29, DOI 10.1029/2002GL014825
   Brown C., 2012, EOS T AM GEOPHYS UN, V93, P401, DOI DOI 10.1029/2012EO410001
   Buisson L, 2010, GLOBAL CHANGE BIOL, V16, P1145, DOI 10.1111/j.1365-2486.2009.02000.x
   Cai XM, 2009, J APPL METEOROL CLIM, V48, P1868, DOI 10.1175/2009JAMC1880.1
   Carter TR, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P133
   Challinor AJ, 2008, AGR FOREST METEOROL, V148, P343, DOI 10.1016/j.agrformet.2007.09.015
   Challinor AJ, 2009, J EXP BOT, V60, P2775, DOI 10.1093/jxb/erp062
   Challinor AJ, 2009, B AM METEOROL SOC, V90, P836, DOI 10.1175/2008BAMS2403.1
   Chen CC, 2004, CLIMATIC CHANGE, V66, P239, DOI 10.1023/B:CLIM.0000043159.33816.e5
   Chin A, 2010, NSF WORKSH
   CROLEY TE, 2003, GLERL126 NOAA
   Daly C, 2002, CLIM RES, V22, P99, DOI 10.3354/cr022099
   Daly C, 2006, INT J CLIMATOL, V26, P707, DOI 10.1002/joc.1322
   DaMatta FM, 2010, FOOD RES INT, V43, P1814, DOI 10.1016/j.foodres.2009.11.001
   Diffenbaugh NS, 2008, ENVIRON RES LETT, V3, DOI 10.1088/1748-9326/3/4/044007
   Easterling W, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P273
   Forster P, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P129
   Guentchev G, 2010, J APPL METEOROL CLIM, V49, P2404, DOI 10.1175/2010JAMC2484.1
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Harding B.L., 2012, Hydrol. Earth Syst. Sci. Discuss, V9, P847, DOI DOI 10.5194/HESSD-9-847-2012
   Hatfield J, 2013, US GLOBAL RES PROGRA
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hoogenboom G, 2004, FIELD CROP RES, V90, P145, DOI 10.1016/j.fcr.2004.07.014
   Isik M, 2006, APPL ECON, V38, P835, DOI 10.1080/00036840500193682
   Jones JW, 2003, EUR J AGRON, V18, P235, DOI 10.1016/S1161-0301(02)00107-7
   Keating BA, 2003, EUR J AGRON, V18, P267, DOI 10.1016/S1161-0301(02)00108-9
   Knutti R, 2010, CLIMATIC CHANGE, V102, P395, DOI 10.1007/s10584-010-9800-2
   Leduc S., 2009, The United States Climate Reference Network (USCRN) Annual Report for Fiscal Year 2009: US Climate Reference Network
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/NCLIMATE1614, 10.1038/nclimate1614]
   Lofgren BM, 2011, J GREAT LAKES RES, V37, P744, DOI 10.1016/j.jglr.2011.09.006
   Luck J, 2011, PLANT PATHOL, V60, P113, DOI 10.1111/j.1365-3059.2010.02414.x
   Luo Q, 2009, AGR ECOSYST ENVIRON, V129, P261, DOI 10.1016/j.agee.2008.09.010
   Maurer E.P., 2007, Eos, Transactions, American Geophysical Union, V88, DOI 10.1029/2007EO470006
   Mearns LO, 1999, J GEOPHYS RES-ATMOS, V104, P6623, DOI 10.1029/1998JD200061
   Meinke H, 2001, AGR SYST, V70, P493, DOI 10.1016/S0308-521X(01)00057-9
   Menne MJ, 2009, B AM METEOROL SOC, V90, P993, DOI 10.1175/2008BAMS2613.1
   Meza FJ, 2009, CLIMATIC CHANGE, V94, P143, DOI [10.1007/s10584-009-9544-z, 10.1007/s10584-009-9544-Z]
   Moore N, 2012, CLIMATIC CHANGE, V110, P823, DOI 10.1007/s10584-011-0116-7
   NASS, 2010, CHERR PROD
   NOAA-NCDC, 2012, SUMM INF MARCH 2012
   Nonhebel Sanderine, 1994, Climate Research, V4, P47, DOI 10.3354/cr004047
   Panel on Adapting to the Impacts of Climate Change National Research Council, 2010, AD IMP CLIM CHANG AM
   Parker WS, 2013, WIRES CLIM CHANGE, V4, P213, DOI 10.1002/wcc.220
   Peterson TC, 1998, INT J CLIMATOL, V18, P1493, DOI 10.1002/(SICI)1097-0088(19981115)18:13<1493::AID-JOC329>3.0.CO;2-T
   Peterson TC, 1997, B AM METEOROL SOC, V78, P2837, DOI 10.1175/1520-0477(1997)078<2837:AOOTGH>2.0.CO;2
   Pielke R.A., 2012, Eos Forum, V93, P52, DOI [10.1029/2012EO050008, DOI 10.1029/2012EO050008]
   Pielke RA, 2007, TELLUS B, V59, P587, DOI 10.1111/j.1600-0889.2007.00251.x
   Pielke RA, 2002, INT J CLIMATOL, V22, P421, DOI 10.1002/joc.706
   Pielke RA, 2007, AGR FOREST METEOROL, V142, P234, DOI 10.1016/j.agrformet.2006.06.012
   Pielke RA, 2011, WIRES CLIM CHANGE, V2, P828, DOI 10.1002/wcc.144
   Pitman AJ, 2011, NAT CLIM CHANGE, V1, P472, DOI 10.1038/NCLIMATE1294
   Prudhomme C, 2010, J HYDROL, V390, P198, DOI 10.1016/j.jhydrol.2010.06.043
   Reidsma P, 2010, EUR J AGRON, V32, P91, DOI 10.1016/j.eja.2009.06.003
   Salter J, 2010, WIRES CLIM CHANGE, V1, P697, DOI 10.1002/wcc.73
   Schlenker W, 2009, P NATL ACAD SCI USA, V106, P15594, DOI 10.1073/pnas.0906865106
   Schmidhuber J, 2007, P NATL ACAD SCI USA, V104, P19703, DOI 10.1073/pnas.0701976104
   Skinner M.W., 2004, MITIG ADAPT STRAT GL, V7, P85
   Skinner WR, 1999, CLIMATE RES, V12, P39, DOI 10.3354/cr012039
   Smith P, 2007, AR4 CLIMATE CHANGE 2007: MITIGATION OF CLIMATE CHANGE, P497
   Soussana JF, 2010, J EXP BOT, V61, P2217, DOI 10.1093/jxb/erq100
   Stainforth DA, 2007, PHILOS T R SOC A, V365, P2163, DOI 10.1098/rsta.2007.2073
   Tebaldi C, 2007, PHILOS T R SOC A, V365, P2053, DOI 10.1098/rsta.2007.2076
   Themessl MJ, 2011, INT J CLIMATOL, V31, P1530, DOI 10.1002/joc.2168
   Thornsbury S, 2005, MARKET STUDY POLISH
   TOURE A, 1995, CAN J PLANT SCI, V75, P61, DOI 10.4141/cjps95-010
   Tribbia J, 2008, ENVIRON SCI POLICY, V11, P315, DOI 10.1016/j.envsci.2008.01.003
   Turner BL, 2007, P NATL ACAD SCI USA, V104, P20666, DOI 10.1073/pnas.0704119104
   USDA Economic Research Service, 2012, MAJ US LAND US 2007
   USGCRP, 2013, ASS US CLIM
   van Asselt MBA, 2002, CLIMATIC CHANGE, V54, P75, DOI 10.1023/A:1015783803445
   Vera-Diaz MD, 2008, ECOL ECON, V65, P420, DOI 10.1016/j.ecolecon.2007.07.015
   Winkler JA, 2012, CLIMATE CHANGE MIDWE, P104
   Winkler JA, 2012, CLIMATE CHANGE GREAT, P231
   Winkler JA, 2004, AAG CENTENNIAL PUBLI, P461
   Winkler JA, 2011, GEOGR COMPASS, V5, P275, DOI 10.1111/j.1749-8198.2011.00425.x
   Winkler JA, 2011, GEOGR COMPASS, V5, P301, DOI 10.1111/j.1749-8198.2011.00426.x
   Winkler JA, 2010, CLIMATIC CHANGE, V103, P445, DOI 10.1007/s10584-009-9781-1
   Yin XY, 2010, J EXP BOT, V61, P2171, DOI 10.1093/jxb/erp375
   Zavalloni C, 2006, ACTA HORTIC, P101, DOI 10.17660/ActaHortic.2006.707.12
NR 84
TC 7
Z9 9
U1 2
U2 77
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0364-152X
EI 1432-1009
J9 ENVIRON MANAGE
JI Environ. Manage.
PD JAN
PY 2014
VL 53
IS 1
BP 42
EP 54
DI 10.1007/s00267-013-0125-6
PG 13
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 283FA
UT WOS:000329230000005
PM 23884355
DA 2025-01-10
ER

PT J
AU Griffith, B
   Scott, JM
   Adamcik, R
   Ashe, D
   Czech, B
   Fischman, R
   Gonzalez, P
   Lawler, J
   McGuire, AD
   Pidgorna, A
AF Griffith, Brad
   Scott, J. Michael
   Adamcik, Robert
   Ashe, Daniel
   Czech, Brian
   Fischman, Robert
   Gonzalez, Patrick
   Lawler, Joshua
   McGuire, A. David
   Pidgorna, Anna
TI Climate Change Adaptation for the US National Wildlife Refuge System
SO ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Climate; Adaptation; Refuge; Conservation; Planning; Strategy
ID NORTHERN PRAIRIE WETLANDS; KENAI PENINSULA; WATERFOWL; IMPACTS;
   UNCERTAINTY; MANAGEMENT; INTEGRITY; DYNAMICS; HABITAT; ALASKA
AB Since its establishment in 1903, the National Wildlife Refuge System (NWRS) has grown to 635 units and 37 Wetland Management Districts in the United States and its territories. These units provide the seasonal habitats necessary for migratory waterfowl and other species to complete their annual life cycles. Habitat conversion and fragmentation, invasive species, pollution, and competition for water have stressed refuges for decades, but the interaction of climate change with these stressors presents the most recent, pervasive, and complex conservation challenge to the NWRS. Geographic isolation and small unit size compound the challenges of climate change, but a combined emphasis on species that refuges were established to conserve and on maintaining biological integrity, diversity, and environmental health provides the NWRS with substantial latitude to respond. Individual symptoms of climate change can be addressed at the refuge level, but the strategic response requires system-wide planning. A dynamic vision of the NWRS in a changing climate, an explicit national strategic plan to implement that vision, and an assessment of representation, redundancy, size, and total number of units in relation to conservation targets are the first steps toward adaptation. This adaptation must begin immediately and be built on more closely integrated research and management. Rigorous projections of possible futures are required to facilitate adaptation to change. Furthermore, the effective conservation footprint of the NWRS must be increased through land acquisition, creative partnerships, and educational programs in order for the NWRS to meet its legal mandate to maintain the biological integrity, diversity, and environmental health of the system and the species and ecosystems that it supports.
C1 [Griffith, Brad; McGuire, A. David] Univ Alaska Fairbanks, USGS Alaska Cooperat Fish & Wildlife Res Unit, Fairbanks, AK 99775 USA.
   [Scott, J. Michael] Univ Idaho, USGS Idaho Cooperat Fish & Wildlife Res Unit, Moscow, ID 83843 USA.
   [Adamcik, Robert; Czech, Brian] US Fish & Wildlife Serv, Arlington, VA USA.
   [Ashe, Daniel] US Fish & Wildlife Serv, Washington, DC USA.
   [Fischman, Robert] Indiana Univ, Maurer Sch Law, Bloomington, IN USA.
   [Gonzalez, Patrick] Univ Calif Berkeley, Ctr Forestry, Berkeley, CA 94720 USA.
   [Lawler, Joshua] Univ Washington, Coll Forest Resources, Seattle, WA 98195 USA.
   [Pidgorna, Anna] Univ Idaho, Coll Nat Resources, Moscow, ID 83843 USA.
C3 University of Alaska System; University of Alaska Fairbanks; United
   States Department of the Interior; United States Geological Survey;
   United States Department of the Interior; United States Geological
   Survey; University of Idaho; United States Department of the Interior;
   US Fish & Wildlife Service; United States Department of the Interior; US
   Fish & Wildlife Service; Indiana University System; Indiana University
   Bloomington; University of California System; University of California
   Berkeley; University of Washington; University of Washington Seattle;
   University of Idaho
RP Griffith, B (corresponding author), Univ Alaska Fairbanks, USGS Alaska Cooperat Fish & Wildlife Res Unit, 209 Irving 1 Bldg, Fairbanks, AK 99775 USA.
EM brad.griffith@uaf.edu
RI Gonzalez, Patrick/B-9479-2013
OI Gonzalez, Patrick/0000-0002-7105-0561; Fischman,
   Robert/0000-0002-0225-4405
FU US Climate Change Science; US Environmental Protection Agency; US Fish
   and Wildlife Service
FX We extend our sincere thanks to Jane Austin, Mark Bertram, Emmi Blades,
   Larry Bright, Vernon Byrd, Michael Higgins, Danielle Jerry, Rex Johnson,
   Jenn Miller, Kathleen Pearse, Ron Reynolds, Jennifer Roach, David Rupp,
   David Sharp, Doug Vandegraft, Gina Wilson, and the students in Indiana
   University's fall 2008 biodiversity conservation policy class for their
   invaluable contributions throughout the development of this article.
   John P. McCarty provided valuable editorial comments on an early draft
   of the manuscript. This work was funded by the US Climate Change Science
   Program, US Environmental Protection Agency, US Fish and Wildlife
   Service, and US Geological Survey but the findings and conclusions in
   this article are those of the authors and do not necessarily represent
   the views of their employing agencies.
CR [Anonymous], 2007, THESIS U IDAHO MOSCO
   [Anonymous], 1989, POTENTIAL EFFECTS GL
   Backlund Peter., 2008, Synthesis and Assessment Product
   Bailey LH., 1976, Hortus Third
   Batt B.D.J., 1989, P204
   Berg EE, 2006, FOREST ECOL MANAG, V227, P219, DOI 10.1016/j.foreco.2006.02.038
   BLADES E, 2007, THESIS U IDAHO MOSCO
   Both C, 2006, NATURE, V441, P81, DOI 10.1038/nature04539
   Botkin Daniel., 1990, Discordant Harmonies: A New Ecology for the Twenty-First Century
   *CA STAT LEG, 2008, AB 2954 SAN FRANC BA
   Czech B, 2005, CONSERV BIOL, V19, P1246, DOI 10.1111/j.1523-1739.2005.00212.x
   Doremus Holly., 2008, Water War in the Klamath Basin: Macho Law, Combat Biology, and Dirty Politics
   Erwin RM, 2004, WETLANDS, V24, P891, DOI 10.1672/0277-5212(2004)024[0891:CILMMA]2.0.CO;2
   Fischman R.L., 2005, J LAND USE ENV LAW, V21, P1
   Fischman RL, 2004, NAT RESOUR J, V44, P989
   Galbraith H, 2002, WATERBIRDS, V25, P173, DOI 10.1675/1524-4695(2002)025[0173:GCCASL]2.0.CO;2
   Gonzalez P, 2005, EC SOC AM ANN M, V90, P228
   Harvell CD, 2002, SCIENCE, V296, P2158, DOI 10.1126/science.1063699
   Heller NE, 2009, BIOL CONSERV, V142, P14, DOI 10.1016/j.biocon.2008.10.006
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Inkley D.B., 2004, Global climate change and wildlife in North America
   Johnson WC, 2005, BIOSCIENCE, V55, P863, DOI 10.1641/0006-3568(2005)055[0863:VONPWT]2.0.CO;2
   Klein E, 2005, CAN J FOREST RES, V35, P1931, DOI 10.1139/x05-129
   Kutz SJ, 2005, P ROY SOC B-BIOL SCI, V272, P2571, DOI 10.1098/rspb.2005.3285
   LaPointe Dennis, 2005, P317
   Larsen C., 2004, The Blackwater NWR inundation model, Rising sea level on a low-lying coast: land use planning for wetlands
   LARSON DL, 1995, CLIMATIC CHANGE, V30, P169, DOI 10.1007/BF01091840
   Logan JA, 2003, FRONT ECOL ENVIRON, V1, P130, DOI 10.2307/3867985
   McLachlan JS, 2007, CONSERV BIOL, V21, P297, DOI 10.1111/j.1523-1739.2007.00676.x
   Mitchell TD, 2005, INT J CLIMATOL, V25, P693, DOI 10.1002/joc.1181
   National Research Council, 2005, END THREAT FISH KLAM
   NICHOLS JD, 1995, ANNU REV ECOL SYST, V26, P177, DOI 10.1146/annurev.es.26.110195.001141
   Oechel WC, 2000, NATURE, V406, P978, DOI 10.1038/35023137
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   Parmesan C, 2006, ANNU REV ECOL EVOL S, V37, P637, DOI 10.1146/annurev.ecolsys.37.091305.110100
   Peterson A.T., 2005, CLIMATE CHANGE BIODI, P211
   Peterson AT, 2001, BIOSCIENCE, V51, P363, DOI 10.1641/0006-3568(2001)051[0363:PSIUEN]2.0.CO;2
   Peterson AT, 2002, IBIS, V144, pE27, DOI 10.1046/j.0019-1019.2001.00031.x
   POIANI KA, 1991, BIOSCIENCE, V41, P611, DOI 10.2307/1311698
   Pounds JA, 2006, NATURE, V439, P161, DOI 10.1038/nature04246
   Riordan B, 2006, J GEOPHYS RES-BIOGEO, V111, DOI 10.1029/2005JG000150
   Rogers HH, 2008, J ENVIRON QUAL, V37, P395, DOI 10.2134/jeq2007.0155
   Root TL, 2003, NATURE, V421, P57, DOI 10.1038/nature01333
   Rosenzweig C, 2008, NATURE, V453, P353, DOI 10.1038/nature06937
   RUPP DA, 2009, THESIS U IDAHO MOSCO
   SATCHELL M, 2003, NATL WILDLIFE, V41, P35
   Scott J.M., 2008, Preliminary review of adaptation options for climate-sensitive resources, p5
   Scott JM, 2004, NAT RESOUR J, V44, P1041
   Small C., 2000, ENV GEOSCI, V7, P3, DOI DOI 10.1046/J.1526-0984.2000.71005.X
   Sorenson LG, 1998, CLIMATIC CHANGE, V40, P343, DOI 10.1023/A:1005441608819
   Sutherst Robert W., 2000, P211
   United States Fish and Wildlife Service, 1999, FULF PROM NAT WILDL, V1, P1
   *US FISH WILDL SER, 1996, 341FW2 US FISH WILDL
   VANRIPER C, 2005, COLORADO PLATEAU BIO
   Westbrooks RG, 2001, TRANS N AM WILDL NAT, P344
   Williams B.K., 2009, Adaptive Management: The U.S. Department of the Interior Technical Guide
   Williams BK, 2001, ENVIRON ECOL STAT, V8, P269, DOI 10.1023/A:1011395725123
NR 57
TC 42
Z9 46
U1 1
U2 50
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 0364-152X
EI 1432-1009
J9 ENVIRON MANAGE
JI Environ. Manage.
PD DEC
PY 2009
VL 44
IS 6
BP 1043
EP 1052
DI 10.1007/s00267-009-9323-7
PG 10
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 530TN
UT WOS:000272615300004
PM 19548023
DA 2025-01-10
ER

PT J
AU Debnath, J
   Sahariah, D
   Meraj, G
   Chand, K
   Singh, SK
   Kanga, S
   Kumar, P
AF Debnath, Jatan
   Sahariah, Dhrubajyoti
   Meraj, Gowhar
   Chand, Kesar
   Singh, Suraj Kumar
   Kanga, Shruti
   Kumar, Pankaj
TI Assessing critical flood-prone districts and optimal shelter zones in
   the Brahmaputra Valley: Strategies for effective flood risk management
SO PHYSICS AND CHEMISTRY OF THE EARTH
LA English
DT Article
DE Brahmaputra valley; Machine learning; AHP; Flood susceptibility; Flood
   shelter suitability; Flood management
ID SUSCEPTIBILITY ASSESSMENT; SPATIAL PREDICTION; WEST-BENGAL; PROCESS AHP;
   HAZARD; RIVER; BIVARIATE; MODELS; INDIA; VULNERABILITY
AB Frequent flooding has become a persistent issue in floodplain regions, causing significant disasters during each rainy season due to insufficient disaster management planning. This study proposes a methodology to prioritize flood susceptibility areas at the district level and identify suitable sites for flood shelters using a combination of machine learning algorithms and multi-criteria analysis, supported by geospatial technology. Flood shelter suitability mapping was conducted using the Analytical Hierarchy Process (AHP), while flood susceptibility zones were assessed using four different machine learning models: Support Vector Machine (SVM), Random Forest, Decision Tree, and Naive Bayes. The integration of machine learning models with the AHP technique is vital in situations where conventional numerical models face challenges due to limited data, such as river discharge and water levels. The methodology includes a multicollinearity assessment to ensure the independence of selected flood-causing factors, information gain ratio to identify the most influential factors, Spearman's rho test to verify correlations between the machine learning models, and ROC-AUC along with statistical regression for validating the accuracy of the flood susceptibility maps. The findings indicate that the SVM algorithm, given its strong performance and effective training datasets, is recommended for areas with similar physical characteristics. The district-wise priority map generated from the weighted results of flood susceptibility assessments will be useful for flood management and mitigation strategies. Additionally, the study found that applying the AHP technique to determine flood shelter suitability, after assessing flood-prone areas, enhanced the efficiency of the flood management process. This research offers valuable insights for authorities to better address flooding and improve flood prevention and management efforts in floodplain regions, contributing to broader climate change adaptation strategies.
C1 [Debnath, Jatan; Sahariah, Dhrubajyoti] Guwahati Univ, Dept Geog, Gauhati, India.
   [Meraj, Gowhar] Univ Tokyo, Dept Ecosyst Studies, Tokyo, Japan.
   [Chand, Kesar] Himachal Reg Ctr Himachal Pradesh, GB Pant Natl Inst Himalayan Environm NIHE, Ctr Environm Assessment & Climate Change, Kulu, India.
   [Singh, Suraj Kumar] Suresh Gyan Vihar Univ, Ctr Climate Change & Water Res, Jaipur, India.
   [Kanga, Shruti] Cent Univ Punjab, Dept Geog, Bathinda, India.
   [Kumar, Pankaj] Inst Global Environm Strategies, Hayama, Japan.
   [Debnath, Jatan] Dhamma Dipa Int Buddhist Univ, Dept Geog, Sabroom, Tripura, India.
C3 Gauhati University; University of Tokyo; G.B. Pant National Institute of
   Himalayan Environment & Sustainable Development (GBPNIHESD); Central
   University of Punjab
RP Debnath, J (corresponding author), Guwahati Univ, Dept Geog, Gauhati, India.; Debnath, J (corresponding author), Dhamma Dipa Int Buddhist Univ, Dept Geog, Sabroom, Tripura, India.
EM jatandebnathgeo@gmail.com; dhrubajyoti@gauhati.ac.in;
   gowharmeraj@gmail.com; kesar1982@gmail.com; suraj.kumar@mygyanvihar.com;
   shruti.kanga@cup.edu.in; kumar@iges.or.jp
RI Debnath, Jatan/KDO-9993-2024; Kumar, Pankaj/B-2854-2016; Sahariah,
   Dhrubajyoti/IVH-0457-2023; Meraj, Gowhar/G-5544-2015; Chand,
   Kesar/GNH-3200-2022; KANGA, SHRUTI/HDO-7988-2022; Singh, Suraj
   Kumar/HNB-3636-2023
OI Kumar, Pankaj/0000-0001-7099-7297; KANGA, SHRUTI/0000-0003-0275-5493;
   Debnath, Jatan/0000-0003-1571-9475; Singh, Suraj
   Kumar/0000-0002-9420-2804
CR Abu El-Magd Sherif Ahmed, 2022, Arabian Journal of Geosciences, V15, DOI 10.1007/s12517-022-09531-3
   Ahmad D, 2020, ENVIRON SCI POLLUT R, V27, P15375, DOI 10.1007/s11356-020-08057-z
   Ahmed I., 2024, Geosystems and Geoenvironment, V3
   Aju C.D., 2024, Geosystems and Geoenvironment, V3
   Akay H, 2021, SOFT COMPUT, V25, P9325, DOI 10.1007/s00500-021-05903-1
   Al-Abadi AM, 2018, ARAB J GEOSCI, V11, DOI 10.1007/s12517-018-3584-5
   Al-Aizari AR, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14164050
   Alam A., 2022, Spatial Modelling of Flood Risk and Flood Hazards: Societal Implications, P77
   Alfieri L, 2012, ENVIRON SCI POLICY, V21, P35, DOI 10.1016/j.envsci.2012.01.008
   Amiri A, 2024, J HYDROL, V632, DOI 10.1016/j.jhydrol.2024.130936
   [Anonymous], 2015, Sendai Framework for disaster risk reduction 2015 -2030
   [Anonymous], 2010, ISH J. Hydraul. Eng.
   Aronsson-Storrier M., 2021, Yearbook of International Disaster Law Online, V2, P377
   Ayeb-Karlsson S, 2020, INT J DISAST RISK RE, V50, DOI 10.1016/j.ijdrr.2020.101904
   Bakhtiari V, 2024, EXPERT SYST APPL, V236, DOI 10.1016/j.eswa.2023.121426
   Balogun AL, 2022, GEOCARTO INT, V37, P12989, DOI 10.1080/10106049.2022.2076910
   Bammou Y, 2024, NAT HAZARDS, V120, P7787, DOI 10.1007/s11069-024-06550-z
   Barman D., 2023, Arabian J. Geosci., V16, P526
   Basumatari D., 2023, 5 WORLD C DIS MAN
   Bhattacharjee K, 2018, GLOBAL ENVIRON CHANG, V53, P78, DOI 10.1016/j.gloenvcha.2018.09.004
   Bhattarai Y, 2024, INT J DIGIT EARTH, V17, DOI 10.1080/17538947.2024.2313857
   Pham BT, 2021, J HYDROL, V592, DOI 10.1016/j.jhydrol.2020.125815
   Bonney R, 2016, PUBLIC UNDERST SCI, V25, P2, DOI 10.1177/0963662515607406
   Borga M, 2011, ENVIRON SCI POLICY, V14, P834, DOI 10.1016/j.envsci.2011.05.017
   Cea L, 2022, HYDROLOGY-BASEL, V9, DOI 10.3390/hydrology9030050
   Chaithong T, 2022, WATER-SUI, V14, DOI 10.3390/w14193174
   Chau KW, 2005, J HYDROL ENG, V10, P485, DOI 10.1061/(ASCE)1084-0699(2005)10:6(485)
   Chen C, 2022, J HYDROL, V607, DOI 10.1016/j.jhydrol.2022.127535
   Chen W, 2020, SCI TOTAL ENVIRON, V701, DOI 10.1016/j.scitotenv.2019.134979
   Chinmoyee Gogoi Chinmoyee Gogoi, 2013, International Journal of Geomatics and Geosciences, V4, P75
   Choubin B, 2019, SCI TOTAL ENVIRON, V651, P2087, DOI 10.1016/j.scitotenv.2018.10.064
   Choudhury M, 2022, P INDIAN NATL SCI AC, V88, P765, DOI 10.1007/s43538-022-00128-8
   Cohen-Shacham E., 2016, NATURE BASED SOLUTIO, V97, P2016
   Costache R, 2019, SCI TOTAL ENVIRON, V691, P1098, DOI 10.1016/j.scitotenv.2019.07.197
   Das S, 2021, GEOSCI FRONT, V12, DOI 10.1016/j.gsf.2021.101206
   Das S, 2020, REMOTE SENS APPL, V20, DOI 10.1016/j.rsase.2020.100379
   de Albuquerque NLB, 2024, INT J DISAST RISK RE, V111, DOI 10.1016/j.ijdrr.2024.104695
   De Risi R, 2018, INT J DISAST RISK RE, V28, P88, DOI 10.1016/j.ijdrr.2018.02.026
   Debnath J, 2023, EARTH SYST ENVIRON, V7, P733, DOI 10.1007/s41748-023-00358-w
   Debnath J, 2024, ENVIRON MONIT ASSESS, V196, DOI 10.1007/s10661-023-12240-3
   Debnath J, 2024, MODEL EARTH SYST ENV, V10, P2393, DOI 10.1007/s40808-023-01912-1
   Debnath J, 2023, GEOSCI FRONT, V14, DOI 10.1016/j.gsf.2023.101557
   Demissie Z, 2024, APPL COMPUT GEOSCI, V23, DOI 10.1016/j.acags.2024.100183
   Devi G, 2022, NEURAL PROCESS LETT, V54, P3263, DOI 10.1007/s11063-022-10773-1
   Dottori F, 2018, J FLOOD RISK MANAG, V11, pS632, DOI 10.1111/jfr3.12234
   Driessen PPJ, 2018, WATER-SUI, V10, DOI 10.3390/w10111595
   Dutta P., 2023, River, V2, P384
   Elkhrachy I, 2015, EGYPT J REMOTE SENS, V18, P261, DOI 10.1016/j.ejrs.2015.06.007
   Ganjirad M, 2023, ISPRS ANN PHOTO REM, P201, DOI 10.5194/isprs-annals-X-4-W1-2022-201-2023
   Geetha P., 2024, Remote Sensing in Earth Systems Sciences, P1
   Ghobadi M, 2024, WATER RESOUR MANAG, V38, P2687, DOI 10.1007/s11269-024-03770-7
   Ghosh A, 2022, J INDIAN SOC REMOTE, V50, P1725, DOI 10.1007/s12524-022-01560-5
   Ghosh A, 2021, REG STUD MAR SCI, V42, DOI 10.1016/j.rsma.2021.101624
   Ghosh A, 2018, NAT HAZARDS, V94, P349, DOI 10.1007/s11069-018-3392-y
   Ghosh M, 2021, HYDROL RES, V52, P61, DOI 10.2166/nh.2020.123
   Ghosh S, 2018, CURR SCI INDIA, V115, P821, DOI 10.18520/cs/v115/i5/821-822
   Goswami BN, 2006, SCIENCE, V314, P1442, DOI 10.1126/science.1132027
   Goyal MK, 2018, SPRINGER HYDROGEOL, P523, DOI 10.1007/978-981-10-2984-4_36
   Guan MF, 2023, J HYDROL, V617, DOI 10.1016/j.jhydrol.2023.129114
   Gupta L, 2022, GEOCARTO INT, V37, P11867, DOI 10.1080/10106049.2022.2060329
   Haque CE, 2019, WATER-SUI, V11, DOI 10.3390/w11122654
   Harrison S, 2018, CRYOSPHERE, V12, P1195, DOI 10.5194/tc-12-1195-2018
   Hasan MM, 2023, RESULTS ENG, V18, DOI 10.1016/j.rineng.2023.101079
   Hasanuzzaman M, 2022, PHYS CHEM EARTH, V127, DOI 10.1016/j.pce.2022.103198
   Hazarika N, 2018, J FLOOD RISK MANAG, V11, pS700, DOI 10.1111/jfr3.12237
   He XJ, 2024, ECOL INDIC, V166, DOI 10.1016/j.ecolind.2024.112323
   Hitouri S, 2024, REMOTE SENS-BASEL, V16, DOI 10.3390/rs16050858
   Hounkpè J, 2019, NAT HAZARDS, V98, P1021, DOI 10.1007/s11069-018-3557-8
   Huang YJ, 2020, WIRES WATER, V7, DOI 10.1002/wat2.1421
   Ighile EH, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14095039
   Islam AMT, 2023, NAT HAZARDS, V119, P1, DOI 10.1007/s11069-023-06106-7
   Islam R., 2024, Environmental Challenges, V14
   Jahanbani M, 2024, EARTH SCI INFORM, V17, P1433, DOI 10.1007/s12145-023-01213-2
   Joshi U.R., 2006, Trends in Precipitation Extremes over India
   Kabisch N, 2016, ECOL SOC, V21, DOI 10.5751/ES-08373-210239
   Kanth T.A., 2010, Recent Res. Sci. Technol., V2
   KHAN MMI, 1991, DISASTERS, V15, P340, DOI 10.1111/j.1467-7717.1991.tb00473.x
   Khosravi K, 2019, J HYDROL, V573, P311, DOI 10.1016/j.jhydrol.2019.03.073
   Khosravi K, 2018, SCI TOTAL ENVIRON, V627, P744, DOI 10.1016/j.scitotenv.2018.01.266
   Klijn F, 2018, GEOSCIENCES, V8, DOI 10.3390/geosciences8060224
   Klijn F, 2013, INT J RIVER BASIN MA, V11, P287, DOI 10.1080/15715124.2013.811418
   Kreibich H, 2017, NAT HAZARD EARTH SYS, V17, P2075, DOI 10.5194/nhess-17-2075-2017
   Krishnan S., 2017, Environ. Justice Urban Res. Global South, P195
   Kundzewicz ZW, 2019, NAT HAZARD EARTH SYS, V19, P1319, DOI 10.5194/nhess-19-1319-2019
   Lan HX, 2024, GEOGR SUSTAIN, V5, P193, DOI 10.1016/j.geosus.2024.01.004
   Lee JM, 2012, DESALIN WATER TREAT, V38, P326, DOI 10.5004/dwt.2012.3586
   Li XD, 2021, J HYDROL, V603, DOI 10.1016/j.jhydrol.2021.127126
   Li YQ, 2024, REMOTE SENS-BASEL, V16, DOI 10.3390/rs16020219
   Li YT, 2023, J ENVIRON MANAGE, V325, DOI 10.1016/j.jenvman.2022.116450
   Maskrey SA, 2016, ENVIRON MODELL SOFTW, V82, P275, DOI 10.1016/j.envsoft.2016.04.027
   Masuya A, 2015, NAT HAZARDS, V78, P1859, DOI 10.1007/s11069-015-1802-y
   Matczak P, 2020, WATER-SUI, V12, DOI 10.3390/w12082122
   Mathur D.K., 2016, Journal of Pure and Applied Industrial Physics, V6, P165
   Mitra R, 2022, GEOMAT NAT HAZ RISK, V13, P2183, DOI 10.1080/19475705.2022.2112094
   MOORE ID, 1986, SOIL SCI SOC AM J, V50, P1294, DOI 10.2136/sssaj1986.03615995005000050042x
   MOORE ID, 1991, HYDROL PROCESS, V5, P3, DOI 10.1002/hyp.3360050103
   Mosavi A, 2022, GEOCARTO INT, V37, P2541, DOI 10.1080/10106049.2020.1829101
   Murthy VB, 2004, WTR SCI TEC LIBR, V47, P559
   Nachappa TG, 2020, J HYDROL, V590, DOI 10.1016/j.jhydrol.2020.125275
   Najibi N, 2018, EARTH SYST DYNAM, V9, P757, DOI 10.5194/esd-9-757-2018
   Nguyen HD, 2024, ENVIRON SCI POLLUT R, DOI 10.1007/s11356-024-32163-x
   Olsen JR, 2000, J WATER RES PL-ASCE, V126, P167, DOI 10.1061/(ASCE)0733-9496(2000)126:3(167)
   Ouma YO, 2014, WATER-SUI, V6, P1515, DOI 10.3390/w6061515
   Özdemir H, 2023, STOCH ENV RES RISK A, V37, P4273, DOI 10.1007/s00477-023-02507-z
   Parajuli G, 2023, ISPRS INT J GEO-INF, V12, DOI 10.3390/ijgi12070286
   Pathan AI, 2022, ENVIRON MONIT ASSESS, V194, DOI 10.1007/s10661-022-10111-x
   Pourghasemi HR., 2012, TERRIGENOUS MASS MOV, P23, DOI [10.1007/978-3-642-25495-6_2, DOI 10.1007/978-3-642-25495-6_2]
   Pradhan B., 2010, J. Spatial Hydrol., V9
   Pradhan B, 2010, GEO-SPAT INF SCI, V13, P93, DOI 10.1007/s11806-010-0236-7
   Pradhan B, 2010, ENVIRON EARTH SCI, V60, P1037, DOI 10.1007/s12665-009-0245-8
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Rahman M, 2019, EARTH SYST ENVIRON, V3, P585, DOI 10.1007/s41748-019-00123-y
   Rahmani F, 2024, ACTA GEOPHYS, V72, P405, DOI 10.1007/s11600-023-01043-2
   Rahmati D., 2019, WATER-SUI, V11, P2370, DOI [10.3390/w11112370, DOI 10.3390/w11112370]
   Rahmati O, 2016, GEOCARTO INT, V31, P42, DOI 10.1080/10106049.2015.1041559
   Ren HC, 2024, REMOTE SENS-BASEL, V16, DOI 10.3390/rs16020320
   Rendana M., 2023, Geol. ecol. Landsc., P1
   Restemeyer B, 2015, PLAN THEORY PRACT, V16, P45, DOI 10.1080/14649357.2014.1000950
   Roopnarine R., 2018, CARIBB J EARTH SCI, V49, P1
   Rosenzweig B., 2024, NPCC4: Climate Change and New York City's Flood Risk
   Rosser JF, 2017, NAT HAZARDS, V87, P103, DOI 10.1007/s11069-017-2755-0
   Ruidas D, 2024, INT J DISAST RISK RE, V108, DOI 10.1016/j.ijdrr.2024.104539
   Saaty T.L., 2000, The Analytic Hierarchy Process
   SAATY TL, 1977, J MATH PSYCHOL, V15, P234, DOI 10.1016/0022-2496(77)90033-5
   Sahana M, 2020, CATENA, V189, DOI 10.1016/j.catena.2019.104450
   Saikh N.I., 2023, Nat. Hazards Res, P420, DOI [10.1016/j.nhres.2023.05.004, DOI 10.1016/J.NHRES.2023.05.004]
   Samany NN, 2021, APPL SOFT COMPUT, V111, DOI 10.1016/j.asoc.2021.107681
   Sanyal J, 2006, SINGAPORE J TROP GEO, V27, P207, DOI 10.1111/j.1467-9493.2006.00254.x
   Saravanan S, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101503
   Sarkar D, 2020, APPL WATER SCI, V10, DOI 10.1007/s13201-019-1102-x
   Sarma JN, 2018, GEOSCIENCES, V8, DOI 10.3390/geosciences8090343
   Sharma J, 2019, ENVIRON RES COMMUN, V1, DOI 10.1088/2515-7620/ab24ed
   Sharma SVS, 2017, GEOMAT NAT HAZ RISK, V8, P792, DOI 10.1080/19475705.2016.1265014
   Shikhteymour SR, 2023, APPL GEOGR, V158, DOI 10.1016/j.apgeog.2023.103035
   Shrestha YR, 2019, CALIF MANAGE REV, V61, P66, DOI 10.1177/0008125619862257
   Singh O, 2017, ARAB J GEOSCI, V10, DOI 10.1007/s12517-017-2895-2
   Singha C, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14246229
   Sorensen J., 2020, ECOCITY AUGUSTENBORG, P162
   Tariq A, 2023, GROUNDWATER SUST DEV, V23, DOI 10.1016/j.gsd.2023.100998
   Tariq A, 2022, WATER-SUI, V14, DOI 10.3390/w14193069
   Tehrany MS, 2019, CATENA, V175, P174, DOI 10.1016/j.catena.2018.12.011
   Tehrany MS, 2017, GEOMAT NAT HAZ RISK, V8, P1538, DOI 10.1080/19475705.2017.1362038
   Tehrany MS, 2015, CATENA, V125, P91, DOI 10.1016/j.catena.2014.10.017
   Tehrany MS, 2014, ENVIRON EARTH SCI, V72, P4001, DOI 10.1007/s12665-014-3289-3
   Tehrany MS, 2013, J HYDROL, V504, P69, DOI 10.1016/j.jhydrol.2013.09.034
   Thilagavathi G., 2011, Advances in Applied Science Research, V2, P574
   Uddin K, 2021, PROG DISASTER SCI, V11, DOI 10.1016/j.pdisas.2021.100185
   United Nations, 2015, Paris Agreement
   Vogel A., 2024, Int. J. Disaster Risk Reduc
   Voinov A, 2016, ENVIRON MODELL SOFTW, V77, P196, DOI 10.1016/j.envsoft.2015.11.016
   Wahba M, 2024, HELIYON, V10, DOI 10.1016/j.heliyon.2024.e33982
   Waqas H, 2021, WATER-SUI, V13, DOI 10.3390/w13121650
   Watkin LJ, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11236788
   Waylen KA, 2018, J FLOOD RISK MANAG, V11, pS1078, DOI 10.1111/jfr3.12301
   Yannopoulos S, 2015, ENVIRON PROCESS, V2, pS191, DOI 10.1007/s40710-015-0094-2
   Yazdi J, 2012, WATER SCI TECHNOL, V66, P1766, DOI 10.2166/wst.2012.346
   Youssef AM, 2023, NAT HAZARDS, V115, P1071, DOI 10.1007/s11069-022-05584-5
   Youssef AM, 2022, ENVIRON SCI POLLUT R, V29, P66768, DOI 10.1007/s11356-022-20213-1
NR 158
TC 0
Z9 0
U1 1
U2 1
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 1474-7065
EI 1873-5193
J9 PHYS CHEM EARTH
JI Phys. Chem. Earth
PD DEC
PY 2024
VL 136
AR 103772
DI 10.1016/j.pce.2024.103772
EA OCT 2024
PG 21
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA K0P1W
UT WOS:001340982500001
DA 2025-01-10
ER

PT J
AU Huang, XH
   Li, YF
   Wang, XW
AF Huang, Xuanhao
   Li, Yangfan
   Wang, Xinwei
TI Integrating a multi-variable scenario with Attention-LSTM model to
   forecast long-term coastal beach erosion
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Attention-LSTM; Scenario analysis; Beach erosion mitigation; Human
   dimension
ID SERIES; WINTER
AB Beach erosion is an adverse impact of climate change and human development activities. Effective beach management necessitates integrating natural and anthropogenic factors to address future erosion trends, while most current prediction models focus only on natural factors, which may provide an incomplete and potentially inaccurate representation of erosion dynamics. This study enhances prediction methods by integrating both natural and anthropogenic factors, thereby enhancing the accuracy and reliability of erosion projections. By extracting historical shorelines through CoastSat model from 1986 to 2020, we develop multivariable scenarios with Attention-LSTM model to predict the regional impacts of natural and anthropogenic factors on erosion to sandy beaches along the typical shoreline of Shenzhen in China. Results reveal that Shenzhen's beaches experienced erosion up to 12 m over the past 35 years. Here we project a decrease in the mean erosion rate of the beaches, identifying population growth (21.0 %) as the main controlling factor before the mid-century in a range of scenarios. We find that Attention-LSTM multi-model ensemble approach can provide overall improved accuracy and reliability over a wide range of beach erosion compared to scenario prediction model of Attention-LSTM and statistical model of Digital Shoreline Analysis System (DSAS), yielding an average uncertainty of 10.99 compared to 13.29. These insights reveal policies to safeguard beaches because of the rising demand for beaches due to human factors, coupled with decreased impervious surfaces through ecological conservation, lead to mitigation for beach erosion. Accurate forecasts empower policymakers to implement effective coastal management strategies, safeguard resources, and mitigate erosion's adverse effects. Our study offers finely-tuned predictions of coastal erosion, providing crucial insights for future coastal conservation efforts and climate change adaptation along the shoreline, and serving as a foundation for further research aimed at understanding the evolving environmental impacts of beach erosion in Shenzhen.
C1 [Huang, Xuanhao; Li, Yangfan; Wang, Xinwei] Xiamen Univ, Coll Environm & Ecol, Fujian Prov Key Lab Coastal Ecol & Environm Studie, Xiamen 361102, Peoples R China.
C3 Xiamen University
RP Li, YF (corresponding author), Xiamen Univ, Coll Environm & Ecol, Fujian Prov Key Lab Coastal Ecol & Environm Studie, Xiamen 361102, Peoples R China.
EM yangf@xmu.edu.cn
RI LI, Yangfan/AAD-9857-2022
FU National Natural Science Foundation of China (NSFC) [42276232]
FX This work was funded by the National Natural Science Foundation of China
   (NSFC) Grant No. 42276232. We appreciate Dr. Zhiyuan Xiang, Mr. Ziwei
   Zhang and Ms. Tong Li at Xiamen University, who provided valuable
   comments and supports for this study.
CR Bandara K, 2021, IEEE T NEUR NET LEAR, V32, P1586, DOI 10.1109/TNNLS.2020.2985720
   Bao Y, 2020, J GEOPHYS RES-OCEANS, V125, DOI 10.1029/2019JC016036
   Barnard PL, 2015, NAT GEOSCI, V8, P801, DOI [10.1038/NGEO2539, 10.1038/ngeo2539]
   Brownlee J., 2016, Machine Learning Mastery
   Bryant BP, 2010, TECHNOL FORECAST SOC, V77, P34, DOI 10.1016/j.techfore.2009.08.002
   Cai F, 2022, J ENVIRON MANAGE, V319, DOI 10.1016/j.jenvman.2022.115632
   Calkoen F, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13050934
   Castelle B, 2015, GEOMORPHOLOGY, V238, P135, DOI 10.1016/j.geomorph.2015.03.006
   Correia AD, 2022, ARTIF INTELL REV, V55, P6037, DOI 10.1007/s10462-022-10148-x
   Cusinato E, 2021, GEOPHYS RES LETT, V48, DOI 10.1029/2021GL094532
   Davidson-Arnott R, 2018, EARTH SURF PROC LAND, V43, P1798, DOI 10.1002/esp.4354
   De Battisti D, 2020, ANN BOT-LONDON, V125, P325, DOI 10.1093/aob/mcz125
   de Schipper MA, 2021, NAT REV EARTH ENV, V2, P70, DOI 10.1038/s43017-020-00109-9
   Depellegrin D, 2023, OCEAN COAST MANAGE, V243, DOI 10.1016/j.ocecoaman.2023.106725
   Enríquez AR, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00004
   Ezer T, 2022, EARTHS FUTURE, V10, DOI 10.1029/2022EF002786
   Fan JS, 2023, J HYDROL, V623, DOI 10.1016/j.jhydrol.2023.129732
   Farmanifard S, 2023, EXPERT SYST APPL, V231, DOI 10.1016/j.eswa.2023.120701
   Feagin RA, 2019, ESTUAR COAST SHELF S, V219, P97, DOI 10.1016/j.ecss.2019.01.018
   Harris LR, 2022, ECOSYST SERV, V57, DOI 10.1016/j.ecoser.2022.101477
   Himmelstoss E.A., 2018, Open-File Rep. 2018-1179, V126
   Lincke D, 2022, EARTHS FUTURE, V10, DOI 10.1029/2021EF002584
   Luijendijk A, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-24630-6
   Masselink G, 2016, GEOPHYS RES LETT, V43, P2135, DOI 10.1002/2015GL067492
   Maximiliano-Cordova C, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.734036
   Meinshausen M, 2020, GEOSCI MODEL DEV, V13, P3571, DOI 10.5194/gmd-13-3571-2020
   Mishra M, 2023, SCI TOTAL ENVIRON, V875, DOI 10.1016/j.scitotenv.2023.162488
   Montaño J, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-59018-y
   Nielsen DM, 2022, NAT CLIM CHANGE, V12, P263, DOI 10.1038/s41558-022-01281-0
   Oswald CJ, 2023, J HYDROL, V618, DOI 10.1016/j.jhydrol.2023.129188
   Paravath K., 2023, Int. J. Civ. Eng., V10, P29, DOI [10.14445/23488352/IJCE-V10I7P102, DOI 10.14445/23488352/IJCE-V10I7P102]
   Patra A, 2024, GEOPHYS RES LETT, V51, DOI 10.1029/2023GL106544
   Prado P, 2019, SCI TOTAL ENVIRON, V655, P1376, DOI 10.1016/j.scitotenv.2018.11.318
   Saengsupavanich Cherdvong, 2022, IOP Conference Series: Earth and Environmental Science, V1072, DOI 10.1088/1755-1315/1072/1/012002
   Saengsupavanich C, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.970592
   Saengsupavanich C, 2023, J APPL WATER ENG RES, V11, P303, DOI 10.1080/23249676.2022.2110529
   Salinas D, 2020, INT J FORECASTING, V36, P1181, DOI 10.1016/j.ijforecast.2019.07.001
   Sanitwong-Na-Ayutthaya S, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e19646
   Shenzhen Municipality Bureau of Statistics, 2022, SHENZHEN STAT YB 202
   [宋振亚 Song Zhenya], 2019, [气候变化研究进展, Progressus Inquisitiones de Mutatione Climatis], V15, P558
   Stockdon HF, 2023, COMMUN EARTH ENVIRON, V4, DOI 10.1038/s43247-023-00817-2
   Toimil A, 2020, EARTH-SCI REV, V202, DOI 10.1016/j.earscirev.2020.103110
   Vos K, 2023, NAT GEOSCI, V16, P140, DOI 10.1038/s41561-022-01117-8
   Vos K, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL088365
   Vos K, 2019, ENVIRON MODELL SOFTW, V122, DOI 10.1016/j.envsoft.2019.104528
   Vousdoukas MI, 2020, NAT CLIM CHANGE, V10, P260, DOI 10.1038/s41558-020-0697-0
   Xiao Y, 2022, SCI TOTAL ENVIRON, V850, DOI 10.1016/j.scitotenv.2022.158067
   Yang ZH, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15194771
   Yu JW, 2022, ENVIRON POLLUT, V303, DOI 10.1016/j.envpol.2022.119136
   Zhang X, 2021, EARTH SYST SCI DATA, V13, P2753, DOI 10.5194/essd-13-2753-2021
NR 50
TC 0
Z9 0
U1 14
U2 14
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD DEC 1
PY 2024
VL 954
AR 176257
DI 10.1016/j.scitotenv.2024.176257
EA SEP 2024
PG 14
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA H6S9B
UT WOS:001324730000001
PM 39288874
DA 2025-01-10
ER

PT J
AU Logah, V
   Azeez, JO
   Compaore, H
   Mesele, SA
   Ocansey, CM
   Bougma, AB
   Tetteh, EN
   Veenendaal, E
   Lloyd, J
AF Logah, Vincent
   Azeez, Jamiu O.
   Compaore, Halidou
   Mesele, Samuel Ayodele
   Ocansey, Caleb Melenya
   Bougma, Amelie B.
   Tetteh, Erasmus Narteh
   Veenendaal, Elmar
   Lloyd, Jon
TI Exploring the West African forest island phenomenon: scientific insights
   gained, successes achieved and capacities strengthened
SO INTERFACE FOCUS
LA English
DT Article
DE capacity strengthening; ecosystems; forest island; savanna; soil
   aggregates; soil nutrients
ID ANTHROPOGENIC DARK EARTHS; CROPPING SYSTEMS; ORGANIC-MATTER; SOIL
   CARBON; LONG-TERM; DIVERSITY; KNOWLEDGE; LAND
AB Anthropogenic activities around local villages in mesic savanna landscapes of West Africa have resulted in soil improvement and forest establishment outside their climatic zones. Such unique 'forest islands' have been reported to provide ecosystem services including biodiversity conservation. However, the science underpinning their formations is limitedly studied. In 2015 and with funding support from the Royal Society-DFID (now FCDO), we set out to investigate the biogeochemistry of the forest islands in comparison with adjacent natural savanna and farmlands across 11 locations in Burkina Faso, Ghana and Nigeria. Our results showed that the forest islands do not differ significantly from the adjoining ecosystems in soil mineralogy implying that their formation was anthropogenically driven. We observed greater soil organic carbon and nutrient distributions in the forest islands, which also had more stable macro (>500 mu m) and meso-aggregates (500-250 mu m) than the adjoining agricultural lands. We found that soil micro-aggregate (250-53 mu m) stability was climate (precipitation) driven in the West African ecosystems while meso- and macro-aggregate stability was land-use driven. In one of the unique forest islands we studied in the Mole National Park of Ghana, we found its mineral-associated organic carbon over 40% greater than the adjoining natural savanna with potential implications for the achievement of the global initiative of the '4p1000' in West Africa. We conclude that the North-South-South research collaboration has established clearly, the science underlying the age-long West African forest island phenomenon and has, among many successes, led to capacity building of young scientists driving cutting-edge research in climate change adaptation and food systems transformation in the sub-region.
C1 [Logah, Vincent] Kwame Nkrumah Univ Sci & Technol, Dept Crop & Soil Sci, Kumasi, Ghana.
   [Azeez, Jamiu O.] Fed Univ Agr, Abeokuta, Nigeria.
   [Compaore, Halidou; Bougma, Amelie B.] Inst Environm & Rech Agr, Tougan, Burkina Faso.
   [Mesele, Samuel Ayodele] Int Inst Trop Agr IITA Headquarters, Ibadan, Nigeria.
   [Ocansey, Caleb Melenya] Hungarian Univ Agr & Life Sci, Inst Environm Sci, Godollo, Hungary.
   [Ocansey, Caleb Melenya; Tetteh, Erasmus Narteh] CSIR Crops Res Inst, Fumesua, Ghana.
   [Veenendaal, Elmar] Wageningen Univ, Plant Ecol & Nat Conservat Grp, NL-6700 AA Wageningen, Netherlands.
   [Lloyd, Jon] Imperial Coll Sci & Technol, Dept Life Sci, London, England.
C3 Kwame Nkrumah University Science & Technology; University of
   Agriculture, Abeokuta; CGIAR; International Institute of Tropical
   Agriculture (IITA); Hungarian University of Agriculture & Life Sciences;
   Wageningen University & Research; Imperial College London
RP Logah, V (corresponding author), Kwame Nkrumah Univ Sci & Technol, Dept Crop & Soil Sci, Kumasi, Ghana.
EM vlogah.canr@knust.edu.gh; azeez2001ng@yahoo.com; halidou21@yahoo.fr;
   ayodelemesele@hotmail.com; calebm2008@yahoo.com; ameliebougma@yahoo.fr;
   buawolor2000@yahoo.com; Elmar.Veenendaal@wur.nl; readingroos@gmail.com
RI Mesele, Samuel/AFN-3928-2022; Azeez, Jamiu/Q-3584-2019
OI Mesele, Samuel/0000-0003-0275-620X; AZEEZ, Jamiu
   Oladipupo/0000-0001-5821-3779
FU Royal Society-FCDO; Royal Society
FX We acknowledge all field assistance received in local communities across
   Burkina Faso, Ghana and Nigeria where the studies were conducted. We
   also duly acknowledge our late colleague Dr. Korodjouma Ouattara for his
   useful contribution to the success of the collaboration. We render
   sincere appreciations to all laboratory technicians and administrative
   staff of KNUST, FUNAAB, ICL, INERA, Natural History Museum, London, and
   the Royal Society who supported our research activities in diverse ways.
CR Agbeshie AA, 2020, SCI AFR, V9, DOI 10.1016/j.sciaf.2020.e00488
   Alam MK, 2018, SOIL TILL RES, V183, P28, DOI 10.1016/j.still.2018.05.009
   Ametsitsi GKD, 2020, J TROP ECOL, V36, P133, DOI 10.1017/S0266467420000085
   Angst G, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-38700-5
   Anokye J, 2021, ECOL PROCESS, V10, DOI 10.1186/s13717-020-00279-w
   Berendse F, 2015, ECOSYSTEMS, V18, P881, DOI 10.1007/s10021-015-9869-6
   Bougma AB, 2022, PLANT SOIL, V473, P533, DOI 10.1007/s11104-022-05302-x
   CAMBARDELLA CA, 1992, SOIL SCI SOC AM J, V56, P777, DOI 10.2136/sssaj1992.03615995005600030017x
   Cerdà A, 2000, SOIL TILL RES, V57, P159, DOI 10.1016/S0167-1987(00)00155-0
   Chotte JL, 2005, SOIL BIOL, V3, P107
   Fairhead J., 2009, P265, DOI 10.1007/978-1-4020-9031-8_13
   Fairhead J, 1996, MISREADING AFRICAN L, DOI [10.1017/CBO9781139164023, DOI 10.1017/CBO9781139164023]
   FAO, 1993, FAO Forestry Paper
   FAO and ITPS, 2021, Forestry, Wetlands and Urban SoilsPractices Overview Rome, Vvol 5, DOI [10.4060/cb6606en, DOI 10.4060/CB6606EN]
   Fraser JA, 2014, ANN ASSOC AM GEOGR, V104, P1222, DOI 10.1080/00045608.2014.941735
   Frausin V, 2014, HUM ECOL, V42, P695, DOI 10.1007/s10745-014-9686-0
   Georgiou K, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-31540-9
   Glaser B, 2012, GEOCHIM COSMOCHIM AC, V82, P39, DOI 10.1016/j.gca.2010.11.029
   Gould IJ, 2016, ECOL LETT, V19, P1140, DOI 10.1111/ele.12652
   Huang G, 2015, SOIL BIOL BIOCHEM, V83, P52, DOI 10.1016/j.soilbio.2015.01.007
   Kleber M, 2015, ADV AGRON, V130, P1, DOI 10.1016/bs.agron.2014.10.005
   Lavallee JM, 2020, GLOBAL CHANGE BIOL, V26, P261, DOI 10.1111/gcb.14859
   LAVEE H, 1991, CATENA SUPP, V19, P19
   Lima HN, 2002, GEODERMA, V110, P1, DOI 10.1016/S0016-7061(02)00141-6
   Liptzin D, 2022, SOIL BIOL BIOCHEM, V172, DOI 10.1016/j.soilbio.2022.108708
   Lloyd J, 2015, BIOGEOSCIENCES, V12, P6529, DOI 10.5194/bg-12-6529-2015
   Logah V., 2013, Journal of Tropical Agriculture, V51, P98
   Logah V., 2010, West African Journal of Applied Ecology, V17, P121
   Logah V, 2024, BIOTROPICA, V56, DOI 10.1111/btp.13299
   Mathieu C., 1998, Analyse Physique des Sols: MethodesChoisies
   Mayer KR, 1951, FOREST RESOURCES LIB
   Medeiros AD, 2022, REV CAATINGA, V35, P697, DOI 10.1590/1983-21252022v35n321rc
   Mesele SA, 2024, PLANT SOIL, V495, P157, DOI 10.1007/s11104-023-06042-2
   Mesele SA, 2024, PLANT SOIL, V502, P605, DOI 10.1007/s11104-024-06568-z
   Neumann K, 1999, PHYTOCOENOLOGIA, V29, P53, DOI 10.1127/phyto/29/1999/53
   Sarah P, 2005, GEOMORPHOLOGY, V70, P1, DOI 10.1016/j.geomorph.2005.03.007
   Sayer J.A., 1992, CONSERVATION ATLAS T
   Schmitt K., 1993, Vegetation of Mole National Park
   SOBEY DG, 1978, BIOTROPICA, V10, P87, DOI 10.2307/2388011
   Vinci G, 2019, ANAL BIOANAL CHEM, V411, P5243, DOI 10.1007/s00216-019-01903-1
NR 40
TC 1
Z9 1
U1 3
U2 3
PU ROYAL SOC
PI LONDON
PA 6-9 CARLTON HOUSE TERRACE, LONDON SW1Y 5AG, ENGLAND
SN 2042-8898
EI 2042-8901
J9 INTERFACE FOCUS
JI Interface Focus
PD AUG 9
PY 2024
VL 14
IS 4
AR 20230078
DI 10.1098/rsfs.2023.0078
PG 11
WC Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics
GA C1Y6D
UT WOS:001287387000003
PM 39165392
OA hybrid
DA 2025-01-10
ER

PT J
AU Wang, Q
   Chen, Y
   Lu, XC
   Chen, GZ
   Li, ZN
   Cai, M
   Ren, C
   Fung, JCH
AF Wang, Qun
   Chen, Yiang
   Lu, Xingcheng
   Chen, Guangzhao
   Li, Zhenning
   Cai, Meng
   Ren, Chao
   Fung, Jimmy C. H.
TI Urbanization impact on meteorological condition and O<sub>3</sub>
   concentration under past and future climates scenarios over the Greater
   Bay Area in Southern China
SO ATMOSPHERIC ENVIRONMENT
LA English
DT Article
DE Urbanization; O-3 concentration; WRF-CAMx; Urban heat island; Climate
   change
ID PEARL RIVER DELTA; URBAN HEAT-ISLAND; BREEZE CIRCULATION; WEATHER
   RESEARCH; MODEL; WRF; PARAMETERIZATION; SIMULATIONS; TEMPERATURE;
   EXPANSION
AB Cities face twin challenges of changing climate and urban heat island (UHI) effect, with the environmental implications of urbanization still unclear. This study employs the Weather Research and Forecasting (WRF) model to examine the impacts of urbanization in the Greater Bay Area (GBA) during warm and cold seasons in past (2000) and near-future (2030) scenarios [i.e., under shared socioeconomic pathways (SSP): SSP1-26, SSP2-45, and SSP5-85]. Datasets from the World Urban Database and Access Portal Tools (WUDAPT) were incorporated into the WRF model to improve the representation of urbanization effects on weather patterns. Our findings indicate that urban expansion significantly increases urban temperatures and decreases wind speed across selected climate change scenarios. The spatially averaged urban temperatures in the fine resolution domain for 2030 could rise by 0.9 degrees C (warm season) and 2.4 degrees C (cold season), respectively, and urban wind speed decreases by similar to 3 m/s under the SSP5-85 scenario. In cold season, the UHI effect could last over 20 h, while urban area may experience cooler nighttime temperatures than rural areas in warm season. Moreover, the future scenario predicts higher daytime O-3 levels due to the warming effects of climate change and urbanization, but lower nighttime levels in warm season, attributed to intensified south-easterly sea breeze and background winds, when compared to the past scenario. This study highlights the importance of incorporating urbanization and climate change in future urban atmospheric environment studies, and underscores that urban climate change adaptation and mitigation should consider extra impacts on built-environment caused by urbanization.
C1 [Wang, Qun; Lu, Xingcheng] Chinese Univ Hong Kong, Dept Geog & Resource Management, Shatin, Hong Kong, Peoples R China.
   [Chen, Yiang; Li, Zhenning; Fung, Jimmy C. H.] Hong Kong Univ Sci & Technol, Div Environm & Sustainabil, Clear Water Bay, Hong Kong, Peoples R China.
   [Chen, Guangzhao; Ren, Chao] Univ Hong Kong, Fac Architecture, Hong Kong, Peoples R China.
   [Cai, Meng] Wuhan Univ, Sch Urban Design, Wuhan, Peoples R China.
C3 Chinese University of Hong Kong; Hong Kong University of Science &
   Technology; University of Hong Kong; Wuhan University
RP Lu, XC (corresponding author), Chinese Univ Hong Kong, Dept Geog & Resource Management, Shatin, Hong Kong, Peoples R China.
EM xingchenglu2011@gmail.com
RI Wang, Qun/ADX-0108-2022; REN, CHAO/KRO-9616-2024; Li,
   Zhenning/HIK-2016-2022; Lu, Xingcheng/AAE-8014-2020; Cai,
   Meng/AAP-7444-2021; Chen, Guangzhao/AGG-1130-2022
OI Fung, Jimmy/0000-0002-7859-8511; Wang, Qun/0000-0002-9166-6144; Lu,
   Xingcheng/0000-0002-0962-9855; Chen, Guangzhao/0000-0001-7537-2288
FU National Natural Science Foundation of China [42007203]; Improvement on
   Competitiveness in Hiring New Faculties Funding Scheme of CUHK
   [4937115]; Research Grant Council of Hong Kong
FX The work is supported by National Natural Science Foundation of China
   Grant (42007203) , Improvement on Competitiveness in Hiring New
   Faculties Funding Scheme of CUHK (No. 4937115) , and Research Grant
   Council of Hong Kong (No. C6026-22 GF) . We also appreciate the
   anonymous reviewers for their constructive comments.
CR Adachi SA, 2020, J GEOPHYS RES-ATMOS, V125, DOI 10.1029/2019JD032166
   [Anonymous], 2018, World Urbanisation Prospects, 2018 Revision
   Argüeso D, 2014, CLIM DYNAM, V42, P2183, DOI 10.1007/s00382-013-1789-6
   BOUGEAULT P, 1989, MON WEATHER REV, V117, P1872, DOI 10.1175/1520-0493(1989)117<1872:POOITI>2.0.CO;2
   Brousse O, 2016, URBAN CLIM, V17, P116, DOI 10.1016/j.uclim.2016.04.001
   Chen F, 2001, MON WEATHER REV, V129, P569, DOI 10.1175/1520-0493(2001)129<0569:CAALSH>2.0.CO;2
   Chen GZ, 2021, BUILD ENVIRON, V203, DOI 10.1016/j.buildenv.2021.108077
   Childs PP, 2005, PURE APPL GEOPHYS, V162, P1955, DOI 10.1007/s00024-005-2700-0
   Ching J, 2018, B AM METEOROL SOC, V99, P1907, DOI 10.1175/BAMS-D-16-0236.1
   Coates J, 2016, ATMOS CHEM PHYS, V16, P11601, DOI 10.5194/acp-16-11601-2016
   Ding A, 2004, ATMOS ENVIRON, V38, P6737, DOI 10.1016/j.atmosenv.2004.09.017
   Georgescu M, 2013, NAT CLIM CHANGE, V3, P37, DOI 10.1038/nclimate1656
   Gu YX, 2020, ATMOS ENVIRON, V221, DOI 10.1016/j.atmosenv.2019.117108
   Guenther A, 2006, ATMOS CHEM PHYS, V6, P3181, DOI 10.5194/acp-6-3181-2006
   Hong SY, 2004, MON WEATHER REV, V132, P103, DOI 10.1175/1520-0493(2004)132<0103:ARATIM>2.0.CO;2
   Hsiang S, 2017, SCIENCE, V356, P1362, DOI 10.1126/science.aal4369
   Jiménez PA, 2012, MON WEATHER REV, V140, P898, DOI 10.1175/MWR-D-11-00056.1
   Kalnay E, 2003, NATURE, V423, P528, DOI 10.1038/nature01675
   Khan SM, 2001, BOUND-LAY METEOROL, V100, P487, DOI 10.1023/A:1019284332306
   Kim G, 2021, ATMOS ENVIRON, V249, DOI 10.1016/j.atmosenv.2021.118253
   Kumar A, 2014, J APPL METEOROL CLIM, V53, P1362, DOI 10.1175/JAMC-D-13-0247.1
   Kumar R, 2012, GEOSCI MODEL DEV, V5, P321, DOI 10.5194/gmd-5-321-2012
   Kuo CC, 2020, CLIM DYNAM, V54, P3561, DOI 10.1007/s00382-020-05177-7
   Li D, 2013, J APPL METEOROL CLIM, V52, P2051, DOI 10.1175/JAMC-D-13-02.1
   Li HD, 2019, SCI TOTAL ENVIRON, V650, P3110, DOI 10.1016/j.scitotenv.2018.10.025
   Li JD, 2023, ENVIRON RES LETT, V18, DOI 10.1088/1748-9326/acb3e2
   Li JY, 2021, ECOL INDIC, V129, DOI 10.1016/j.ecolind.2021.107936
   Li M, 2017, NATL SCI REV, V4, P834, DOI 10.1093/nsr/nwx150
   Lo JCF, 2007, J APPL METEOROL CLIM, V46, P457, DOI 10.1175/JAM2477.1
   Lu X, 2010, INT J CLIMATOL, V30, P1089, DOI 10.1002/joc.1947
   Lu XC, 2019, SCI TOTAL ENVIRON, V673, P708, DOI 10.1016/j.scitotenv.2019.03.452
   Lu XC, 2018, TELLUS B, V70, P1, DOI 10.1080/16000889.2018.1476435
   Lu XC, 2016, ENVIRON POLLUT, V212, P135, DOI 10.1016/j.envpol.2016.01.056
   Luo M, 2017, J CLIMATE, V30, P703, DOI [10.1175/JCLI-D-16-0269.1, 10.1175/jcli-d-16-0269.1]
   Martilli A, 2002, BOUND-LAY METEOROL, V104, P261, DOI 10.1023/A:1016099921195
   Masson-Delmotte V., 2021, Climate Change 2021: The Physical Science Basis, P41
   Masson-Delmotte V., 2022, Global warming of 1.5C: IPCC special report on impacts of global warming of 1.5C above pre-industrial levels in context of strengthening response to climate change, Sustainable Development, and Efforts to Eradicate Poverty
   McDonald RI, 2020, NAT SUSTAIN, V3, P16, DOI 10.1038/s41893-019-0436-6
   Miao SG, 2009, J APPL METEOROL CLIM, V48, P484, DOI 10.1175/2008JAMC1909.1
   Müller WA, 2018, J ADV MODEL EARTH SY, V10, P1383, DOI 10.1029/2017MS001217
   Nenes A, 1998, AQUAT GEOCHEM, V4, P123, DOI 10.1023/A:1009604003981
   Otero N, 2021, ATMOS ENVIRON, V253, DOI 10.1016/j.atmosenv.2021.118334
   Ren T, 2021, SCI TOTAL ENVIRON, V791, DOI 10.1016/j.scitotenv.2021.148334
   Revi A, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P535
   Rockel B, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2007JD009461
   Salam R.D., 2023, City Built. Envir, V1, P15
   Santamouris M, 2020, ENERG BUILDINGS, V207, DOI 10.1016/j.enbuild.2019.109482
   Seto KC, 2012, P NATL ACAD SCI USA, V109, P16083, DOI 10.1073/pnas.1211658109
   Skamarock WC, 2019, NCAR tech note ncar/tn-556+ str 145, DOI [10.5065/1dfh-6p97, DOI 10.5065/1DFH-6P97]
   Steinecke K, 1999, ATMOS ENVIRON, V33, P4157, DOI 10.1016/S1352-2310(99)00158-2
   Stewart ID, 2012, B AM METEOROL SOC, V93, P1879, DOI 10.1175/BAMS-D-11-00019.1
   Suarez M. J., 1999, A solar radiation parameterization for atmospheric studies, V15
   Tebaldi C, 2021, EARTH SYST DYNAM, V12, P253, DOI 10.5194/esd-12-253-2021
   Wang N, 2015, SCI TOTAL ENVIRON, V505, P939, DOI 10.1016/j.scitotenv.2014.10.070
   Wang Q, 2023, ATMOS ENVIRON, V315, DOI 10.1016/j.atmosenv.2023.120146
   Wang Q, 2020, BUILD ENVIRON, V180, DOI 10.1016/j.buildenv.2020.107063
   Wang T, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac69fe
   Wang Y, 2017, J GEOPHYS RES-ATMOS, V122, P4332, DOI 10.1002/2017JD026702
   Wang YJ, 2021, GEOMAT NAT HAZ RISK, V12, P1101, DOI 10.1080/19475705.2021.1912834
   Wang ZQ, 2021, URBAN CLIM, V37, DOI 10.1016/j.uclim.2021.100866
   Wong MMF, 2019, URBAN CLIM, V28, DOI 10.1016/j.uclim.2019.100460
   Xin R, 2023, J GEOPHYS RES-ATMOS, V128, DOI 10.1029/2022JD038210
   Xu ZF, 2021, SCI DATA, V8, DOI 10.1038/s41597-021-01079-3
   Yang J, 2022, NPJ URBAN SUSTAIN, V2, DOI 10.1038/s42949-022-00055-z
   Yang XY, 2017, INT J CLIMATOL, V37, P890, DOI 10.1002/joc.4747
   Zeren YZ, 2019, J GEOPHYS RES-ATMOS, V124, P12340, DOI 10.1029/2019JD030833
   Zhao Y, 2021, CLIMATIC CHANGE, V169, DOI 10.1007/s10584-021-03287-7
   Zhou YF, 2019, BUILD ENVIRON, V166, DOI 10.1016/j.buildenv.2019.106408
   Zuo ZP, 2023, J APPL METEOROL CLIM, V62, P1297, DOI 10.1175/JAMC-D-22-0201.1
NR 69
TC 2
Z9 2
U1 16
U2 18
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 1352-2310
EI 1873-2844
J9 ATMOS ENVIRON
JI Atmos. Environ.
PD AUG 15
PY 2024
VL 331
AR 120585
DI 10.1016/j.atmosenv.2024.120585
EA MAY 2024
PG 20
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA UD9B0
UT WOS:001246230100001
DA 2025-01-10
ER

PT J
AU Albarakati, HM
   Khan, MA
   Hamza, A
   Khan, F
   Kraiem, N
   Jamel, L
   Almuqren, L
   Alroobaea, R
AF Albarakati, Hussain Mobarak
   Khan, Muhammad Attique
   Hamza, Ameer
   Khan, Faheem
   Kraiem, Naoufel
   Jamel, Leila
   Almuqren, Latifah
   Alroobaea, Roobaea
TI A Novel Deep Learning Architecture for Agriculture Land Cover and Land
   Use Classification from Remote Sensing Images Based on Network-Level
   Fusion of Self-Attention Architecture
SO IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE
   SENSING
LA English
DT Article
DE Agriculture; data augmentation; deep learning; optimization; remote
   sensing (RS); self-attention
ID FEATURES; MODELS
AB AI-driven precision agriculture applications can benefit from the large data source that remote sensing (RS) provides, as it can gather agricultural monitoring data at various scales throughout the year. Numerous advantages for sustainable agricultural applications, including yield prediction, crop monitoring, and climate change adaptation, can be obtained from RS and artificial intelligence. In this work, we proposed a fully automated optimized self-attention fused convolutional neural network (CNN) architecture for land use and land cover classification using RS data. A new contrast enhancement equation has been proposed and utilized in the proposed architecture for the data augmentation. After that, a fused self-attention CNN architecture was proposed. The proposed architecture initially consists of two custom models named IBNR-65 and Densenet-64. Both models have been designed based on the inverted bottleneck residual mechanism and dense blocks. After that, both models were fused using a depth-wise concatenation and append a self-attention layer for deep features extraction. After that, we trained the model and performed classification using neural network (NN) classifiers. The results obtained from the NN classifiers are insufficient; therefore, we implemented a Bayesian optimization and fine-tuned the hyperparameters of NN. In addition, we proposed a quantum hippopotamus optimization algorithm for the best feature selection. The selected features are finally classified using fine-tuned NN classifiers and obtained improved accuracy of 98.20, 89.50, and 91.70%, and the highest precision rate is 98.23, recall is 98.20, and F1-score is 98.21, respectively, for SIRI-WHU, EuroSAT, and NWPU datasets. Moreover, a detailed ablation study was conducted, and the performance was compared with SOTA. The proposed architecture shows improved accuracy, sensitivity, precision, and computational time performance.
C1 [Albarakati, Hussain Mobarak] Umm Al Qura Univ, Coll Comp & Informat Syst, Comp Engn & Network Dept, Mecca 24382, Saudi Arabia.
   [Khan, Muhammad Attique] Lebanese Amer Univ, Dept Comp Sci & Math, Beirut 135053, Lebanon.
   [Khan, Muhammad Attique; Hamza, Ameer] HITEC Univ, Dept CS, Taxila 47080, Pakistan.
   [Khan, Faheem] Gachon Univ, Seongnam 13120, South Korea.
   [Kraiem, Naoufel] King Khalid Univ, Coll Comp Sci, Abha 61421, SA, Saudi Arabia.
   [Jamel, Leila; Almuqren, Latifah] Princess Nourah Bint Abdulrahman Univ, Coll Comp & Informat Sci, Dept Informat Syst, Riyadh 11671, Saudi Arabia.
   [Alroobaea, Roobaea] Taif Univ, Coll Comp & Informat Technol, Dept Comp Sci, Taif 21944, Saudi Arabia.
C3 Umm Al Qura University; Lebanese American University; HITEC University;
   Gachon University; King Khalid University; Princess Nourah bint
   Abdulrahman University; Taif University
RP Khan, F (corresponding author), Gachon Univ, Seongnam 13120, South Korea.; Kraiem, N (corresponding author), King Khalid Univ, Coll Comp Sci, Abha 61421, SA, Saudi Arabia.
EM hmbarkti@uqu.edu.sa; faheem@gachon.ac.kr; nkraiem@kku.edu.sa;
   Lmjamel@pnu.edu.sa; laAlmuqren@pnu.edu.sa
RI Khan, Dr. Muhammad/AAX-2644-2021; Hamza, Ameer/HLX-8015-2023; jamel,
   leila/HJI-3607-2023; Alroobaea, Roobaea/M-3894-2019
OI Attique Khan, Muhammad/0000-0001-5723-3858; khan,
   Faheem/0000-0001-6220-0225; Albarakati, Hussain
   Mobarak/0009-0000-2988-6667; Hamza, Ameer/0009-0006-8343-4227; jamel,
   leila/0000-0002-6664-5923; Alroobaea, Roobaea/0000-0003-1585-2962;
   Kraiem, Naoufel/0000-0003-1798-2883; Alroobaea,
   Roobaea/0000-0001-8199-5852
FU Princess Nourah bint Abdulrahman University Researchers
FX No Statement Available
CR Abderrahim A, 2012, INT J FOUND COMPUT S, V23, P431, DOI 10.1142/S0129054112400217
   Ahmad M, 2022, IEEE J-STARS, V15, P968, DOI 10.1109/JSTARS.2021.3133021
   Ali I., 2023, Comput. Syst. Sci. Eng., V46, P303, DOI [10.32604/csse.2023.034374, DOI 10.32604/CSSE.2023.034374]
   Attri I, 2023, ECOL INFORM, V77, DOI 10.1016/j.ecoinf.2023.102217
   Baccouche Moez, 2011, Human Behavior Unterstanding. Proceedings Second International Workshop, HBU 2011, P29, DOI 10.1007/978-3-642-25446-8_4
   Basu S, 2015, 23RD ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS (ACM SIGSPATIAL GIS 2015), DOI 10.1145/2820783.2820816
   Bibi S, 2023, DIAGNOSTICS, V13, DOI 10.3390/diagnostics13193063
   Cheng G, 2017, IEEE GEOSCI REMOTE S, V14, P1735, DOI 10.1109/LGRS.2017.2731997
   Darem AA, 2023, EGYPT J REMOTE SENS, V26, P341, DOI 10.1016/j.ejrs.2023.04.005
   Ghodratnama S, 2021, PATTERN ANAL APPL, V24, P1, DOI 10.1007/s10044-020-00887-4
   Guo M. Jiang, 2023, Sensors, V23
   Guo NB, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15205044
   Guy AFK, 2018, INFORM SCIENCES, V467, P199, DOI 10.1016/j.ins.2018.07.074
   Hamza A, 2024, IEEE J-STARS, V17, P2995, DOI 10.1109/JSTARS.2023.3348874
   Hamza A, 2023, IEEE J-STARS, V16, P9888, DOI 10.1109/JSTARS.2023.3324494
   He KM, 2016, PROC CVPR IEEE, P770, DOI 10.1109/CVPR.2016.90
   Helber P, 2019, IEEE J-STARS, V12, P2217, DOI 10.1109/JSTARS.2019.2918242
   Imbriaco R, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11050493
   Joshi A, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15082014
   Khan SD, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15133408
   Kussul N, 2017, IEEE GEOSCI REMOTE S, V14, P778, DOI 10.1109/LGRS.2017.2681128
   Liu PP, 2020, SENSORS-BASEL, V20, DOI 10.3390/s20010291
   Lu XQ, 2017, IEEE T GEOSCI REMOTE, V55, P5148, DOI 10.1109/TGRS.2017.2702596
   Lv ZY, 2023, IEEE T GEOSCI REMOTE, V61, DOI 10.1109/TGRS.2023.3275753
   Ma ZM, 2023, INT J REMOTE SENS, V44, P1702, DOI 10.1080/01431161.2023.2190471
   Manimala K, 2015, SOFT COMPUT, V19, P3123, DOI 10.1007/s00500-014-1472-9
   Miotto R, 2018, BRIEF BIOINFORM, V19, P1236, DOI 10.1093/bib/bbx044
   Nanni L, 2017, PATTERN RECOGN, V71, P158, DOI 10.1016/j.patcog.2017.05.025
   Otal HT, 2024, Arxiv, DOI arXiv:2401.07500
   Papoutsis I, 2023, ISPRS J PHOTOGRAMM, V195, P250, DOI 10.1016/j.isprsjprs.2022.11.012
   Patel U, 2023, MODEL EARTH SYST ENV, V9, P1977, DOI 10.1007/s40808-022-01608-y
   Raghavan P, 2019, PROCEEDINGS OF 2019 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND KNOWLEDGE ECONOMY (ICCIKE' 2019), P335, DOI [10.1109/ICCIKE47802.2019.9004231, 10.1109/iccike47802.2019.9004231]
   Rehman S, 2023, CMC-COMPUT MATER CON, V75, P697, DOI 10.32604/cmc.2023.035183
   Sandler M, 2018, PROC CVPR IEEE, P4510, DOI 10.1109/CVPR.2018.00474
   Shahid M, 2024, IEEE T CONSUM ELECTR, V70, P4645, DOI 10.1109/TCE.2024.3356195
   Szegedy Christian, 2015, IEEE C COMPUTER VISI, P1, DOI [10.1109/cvpr.2015.7298594, DOI 10.1109/CVPR.2015.7298594]
   Tan MX, 2019, PR MACH LEARN RES, V97
   Tang X, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10081243
   Tao J., 2023, IEEETrans. Geosci. Remote Sens., V63
   Temenos A, 2023, IEEE GEOSCI REMOTE S, V20, DOI 10.1109/LGRS.2023.3251652
   Thirumaladevi K. V., 2022, Acta IMEKO, V11, P8
   Thirumaladevi S., 2023, Measurement: Sensors, V25, P100645, DOI [https://doi.org/10.1016/j.measen.2022.100645, DOI 10.1016/J.MEASEN.2022.100645, 10.1016/j.measen.2022.100645]
   Vali A, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12152495
   Vijh S, 2023, IEEE ROBOT AUTOM MAG, V30, P30, DOI 10.1109/MRA.2023.3315929
   Vinaykumar VN, 2023, EURASIP J ADV SIG PR, V2023, DOI 10.1186/s13634-023-00980-w
   Vohra R, 2023, EARTH SCI INFORM, V16, P983, DOI 10.1007/s12145-022-00891-8
   Wu H, 2016, REMOTE SENS-BASEL, V8, DOI 10.3390/rs8050436
   Xu Y, 2023, GEO-SPAT INF SCI, V26, P289, DOI 10.1080/10095020.2022.2070555
   Zahra U., 2023, IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., V17, P3038
   Zhang C, 2019, REMOTE SENS ENVIRON, V221, P173, DOI 10.1016/j.rse.2018.11.014
   Zhang X, 2018, PROC CVPR IEEE, P6848, DOI 10.1109/CVPR.2018.00716
   Zhao B, 2016, IEEE T GEOSCI REMOTE, V54, P2108, DOI 10.1109/TGRS.2015.2496185
   Zhao SY, 2023, SENSORS-BASEL, V23, DOI 10.3390/s23218966
NR 53
TC 8
Z9 8
U1 12
U2 25
PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
PI PISCATAWAY
PA 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
SN 1939-1404
EI 2151-1535
J9 IEEE J-STARS
JI IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens.
PY 2024
VL 17
BP 6338
EP 6353
DI 10.1109/JSTARS.2024.3369950
PG 16
WC Engineering, Electrical & Electronic; Geography, Physical; Remote
   Sensing; Imaging Science & Photographic Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Physical Geography; Remote Sensing; Imaging Science &
   Photographic Technology
GA LF4X1
UT WOS:001185365000001
OA gold
DA 2025-01-10
ER

PT J
AU Oluwatimilehin, IA
   Ayanlade, A
AF Oluwatimilehin, Isaac Ayo
   Ayanlade, Ayansina
TI Climate change impacts on staple crops: Assessment of smallholder
   farmers' adaptation methods and barriers
SO CLIMATE RISK MANAGEMENT
LA English
DT Article
DE Climate change; Impacts assessment; Adaptation; Crop yield; Barriers
ID RAINFALL; NIGERIA; BASIN
AB Crops in Sub-Saharan African countries are generally more vulnerable to climate change with considerable impacts on yields. In this study, the impacts of climate change on selected root crops, cereals and vegetables were examined with the practice of adaptation as well as barriers hindering the adoption of selected adaptation options in selected farming communities in Ogun state, Nigeria. The climate dataset ranging from 1982 to 2020 and crop yield data ranging from 1996 to 2020 were used in this study. The social data was collected through a structured questionnaire administered among a total of 120 rural farmers purposively selected for the study. The data collected were analysed and presented using descriptive statistics, bivariate correlations and regression statistics. The results showed a high variation in climatic variables together with an obvious anomaly index with severity. The correlation results indicate a strong relationship be-tween rainfall minimum/maximum temperatures and most crops, with R > 0.60, at p > 0.05. The results of multiple regression showed R-2 = 0.64 values for all crops at p < 0.05. This result implies that climate parameters accounted for significant percentage of the changes in yields. The results also showed low practice of adaptation among rural farmers and the major barrier hindering the practice of adaptation is lack of capital, including financial, physical, and human capital, which was responsible for 70% of the hurdles to climate change adaptation measures implementation. The key findings here are that the cropping system has been impacted by climate change and that the adaptive capacity of rural farmers in the study area is generally low. The study concludes that although climate change is obvious, there is generally a need to enhance the adaptation options available to smallholder farmers in the region.
C1 [Oluwatimilehin, Isaac Ayo; Ayanlade, Ayansina] Obafemi Awolowo Univ, Dept Geog, Ife, Nigeria.
   [Ayanlade, Ayansina] Univ Vienna, Dept Geog & Reg Res, Univ Str 7, A-1010 Vienna, Austria.
C3 Obafemi Awolowo University; University of Vienna
RP Ayanlade, A (corresponding author), Obafemi Awolowo Univ, Dept Geog, Ife, Nigeria.
EM ayansina.ayanlade@univie.ac.at
RI Ayanlade, Ayansina/ABB-9056-2021
OI Ayanlade, Ayansina/0000-0001-5419-5980
FU Tertiary Education Trust Fund, TETFund NRF 2020 Nigeria
   [TETF/DR&D-CE/NRF2020/CC/17/VOL.1]; Queen Elizabeth Scholars project on
   ecological economics, commons governance, and climate justice; Canadian
   Queen Elizabeth II Diamond Jubilee Scholarships Advanced Scholars
   Program (QES-AS); ERC [FP7-771056-LICCI]
FX This work was supported and funded by the Tertiary Education Trust Fund,
   TETFund NRF 2020 Nigeria (GrantAward-TETF/DR &
   D-CE/NRF2020/CC/17/VOL.1). A.A. also acknowledges support from a small
   research grant from the Queen Elizabeth Scholars project on ecological
   economics, commons governance, and climate justice, with funding from
   the Canadian Queen Elizabeth II Diamond Jubilee Scholarships Advanced
   Scholars Program (QES-AS). The research was also partly funded by an ERC
   Consolidator Grant to Reyes-Garcia (FP7-771056-LICCI).
CR Adejuwon JO, 2005, CLIM RES, V30, P53, DOI 10.3354/cr030053
   Agbossou E. K., 2012, African Crop Science Journal, V20, P493
   Ajjur SB, 2021, CLIMATIC CHANGE, V166, DOI 10.1007/s10584-021-03122-z
   Amanambu AC, 2019, CATENA, V172, P324, DOI 10.1016/j.catena.2018.09.003
   Amani A., 2021, Climate Change and Water Resources in Africa: Perspectives and Solutions Towards an Imminent Water Crisis, P387
   [Anonymous], 2009, Adv. Nat. Appl. Sci.
   Ayanda I. F., 2013, Journal of Agricultural Science (Toronto), V5, P190
   Ayanlade A., 2022, Disaster Risk Reduction for Resilience, P245, DOI DOI 10.1007/978-3-030-99063-3_11
   Ayanlade A., 2020, African handbook of climate change adaptation, P1
   AYANLADE A., 2015, Doctoral dissertation
   Ayanlade A, 2022, CLIM SERV, V27, DOI 10.1016/j.cliser.2022.100311
   Ayanlade A, 2018, GEOJOURNAL, V83, P319, DOI 10.1007/s10708-017-9771-1
   Ayanlade A, 2018, SCI TOTAL ENVIRON, V630, P728, DOI 10.1016/j.scitotenv.2018.02.196
   Bamiro O.M., 2012, Greener Journal of Agricultural Sciences, V2, P13
   Bang S., 2010, 2010 IEEE Custom Integrated Circuits Conference, P1, DOI [10.1109/IC3.2019.8844901, DOI 10.1109/IC3.2019.8844901]
   Barros VR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1133
   Bello W., 2008, CHAIN REACTION, V104, P44
   Biesbroek GR, 2013, REG ENVIRON CHANGE, V13, P1119, DOI 10.1007/s10113-013-0421-y
   Bischiniotis K, 2018, NAT HAZARD EARTH SYS, V18, P271, DOI 10.5194/nhess-18-271-2018
   Cammarano D, 2019, FIELD CROP RES, V241, DOI 10.1016/j.fcr.2019.107559
   Choudhary S, 2020, PLANT SCI, V295, DOI 10.1016/j.plantsci.2019.110297
   Clay N, 2019, WORLD DEV, V116, P1, DOI 10.1016/j.worlddev.2018.11.022
   Collier P, 2008, OXFORD REV ECON POL, V24, P337, DOI 10.1093/oxrep/grn019
   Coulibaly N, 2018, HYDROLOGY-BASEL, V5, DOI 10.3390/hydrology5010012
   Danso-Abbeam G, 2021, HELIYON, V7, DOI 10.1016/j.heliyon.2021.e07162
   Griffin T.E., Lake Chad
   Han F, 2019, CLIM DYNAM, V53, P2757, DOI 10.1007/s00382-019-04653-z
   Hassan R, 2008, AFR J AGRIC RESOUR E, V2, P83
   Knox J, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/3/034032
   Kogo BK, 2021, ENVIRON DEV SUSTAIN, V23, P23, DOI 10.1007/s10668-020-00589-1
   Maddison DavidJ., 2007, PERCEPTION ADAPTATIO, DOI 10.1596/1813-9450-4308
   Monti A, 2007, AGRON SUSTAIN DEV, V27, P255, DOI 10.1051/agro:2007019
   Odekunle TO, 2007, AFR J BIOTECHNOL, V6, P2100, DOI 10.5897/AJB2007.000-2327
   Oluwatimilehin I.A., 2021, Agriculture & Food Security, V10, P1
   Oseni T., 2011, Change, V2, P3
   Aryal JP, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-89391-1
   Richards RA, 2002, CROP SCI, V42, P111, DOI 10.2135/cropsci2002.0111
   Romeo Mawonike, 2017, International Journal of Multidisciplinary Academic Research, V5, P36
   Shanahan TM, 2007, HYDROL PROCESS, V21, P1678, DOI 10.1002/hyp.6359
   Sniderman JMK, 2019, NAT CLIM CHANGE, V9, P232, DOI 10.1038/s41558-019-0397-9
   Solanke M., 2013, Int. J. Develop. Sustain., V2
   Solanke M.O., 2015, Ethiopian Journal of Enviromental Studies and Management, V8, P13, DOI 10.4314/ejesm.v8i1.2
   Sultan B, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/014040
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Teeken B, 2018, ECON BOT, V72, P263, DOI 10.1007/s12231-018-9421-7
   Umar U.A., 2014, Maize Production and Yield improvement in Nigeria
   UNDP U. N. D. P., 2012, Gender and Adaptation
NR 47
TC 1
Z9 1
U1 3
U2 6
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0963
J9 CLIM RISK MANAG
JI CLIM. RISK MANAG.
PY 2023
VL 41
AR 100542
DI 10.1016/j.crm.2023.100542
EA AUG 2023
PG 14
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA R2AR4
UT WOS:001062423000001
OA gold
DA 2025-01-10
ER

PT J
AU Alam, E
AF Alam, Edris
TI Factors of cyclone disaster deaths in coastal Bangladesh
SO HELIYON
LA English
DT Article
DE Bangladesh coast; Cyclone experience; Disaster; Community; Factors of
   death
ID CLIMATE-CHANGE ADAPTATION; RISK REDUCTION; TROPICAL CYCLONES;
   VULNERABILITY; EVACUATION; PROGRESS; HAZARDS; SIDR
AB Bangladesh's success in disaster risk management is often evidenced by referencing the reduction of deaths caused by tropical cyclones - the Cyclone Gorky 1991 caused 147,000 deaths, the Cyclone Sidr 2007 caused 4500 deaths and only 6 deaths by the Cyclone Mora in 2017. This raises questions of how deaths occurred by tropical cyclones in the past and what factors still might contribute towards deaths from cyclone hazards? This study answers these questions through face-to-face interviews with 362 residents, field visits and observations across coastal Bangladesh. The findings indicate that there have been improvements in house structures and design, warning responses and evacuation processes to public cyclone shelters and informal cyclone shelter centres. In the past, due to a lack of built infrastructure, strong residential houses and public cyclone shelters, deaths occurred whilst living in fragile houses; attempting to survive through holding trees and floating in storm surges. The top ten factors that may still cause deaths by tropical cyclones include: (1) Living adjacent to the coast without an embankment or lack of embankment, or the failure of an established embankment; (2) the repeat of a 1991-like cyclone; (3) non evacuation following early warning; (4) poor roads in remote areas to facilitate mass movement; (5) distance to and insufficient number of public cyclone shelters; (6) lack of protective measures for the rising number of elderly and disabled people; (7) community's unawareness; (8) communication failure during the emergency period; (9) failure to evacuate people from remote locations; and (10) Poor radio signal and mobile network issues resulting in no warning information being effectively and timely communicated. This study provides several key recommendations addressing these factors of deaths, to be implemented by individual, community, private sectors, non-government organisations (NGOs) and public sectors across coastal Bangladesh.
C1 [Alam, Edris] Rabdan Acad, Fac Resilience, Abu Dhabi 22401, U Arab Emirates.
   [Alam, Edris] Univ Chittagong, Dept Geog & Environm Studies, Chittagong 4331, Bangladesh.
C3 University of Chittagong
RP Alam, E (corresponding author), Rabdan Acad, Fac Resilience, Abu Dhabi 22401, U Arab Emirates.; Alam, E (corresponding author), Univ Chittagong, Dept Geog & Environm Studies, Chittagong 4331, Bangladesh.
EM ealam@ra.ac.ae
RI Alam, Md. Edris/I-3332-2014
OI Alam, Md. Edris/0000-0001-7303-9625
CR Ahmad D, 2019, NAT HAZARDS, V99, P337, DOI 10.1007/s11069-019-03743-9
   Alam E., 2022, ROUTLEDGE HDB ENV HA, P73
   Alam E., 2016, J GEOGR NAT DISASTER, V6, P1, DOI [10.4172/2167-0587.1000154, DOI 10.4172/2167-0587.1000154]
   Alam E, 2022, NAT HAZARDS, V113, P329, DOI 10.1007/s11069-022-05302-1
   Alam E, 2021, INT J DISAST RISK RE, V59, DOI 10.1016/j.ijdrr.2021.102220
   Alam E, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12166305
   Alam E, 2015, INT J CLIMATOL, V35, P801, DOI 10.1002/joc.4035
   Alam E, 2010, DISASTERS, V34, P931, DOI 10.1111/j.1467-7717.2010.01176.x
   BERN C, 1993, B WORLD HEALTH ORGAN, V71, P73
   Burton Ian., 1993, The Environment as Hazard
   C.P.P. Cyclone Preparedness Programme (CPP), 2022, US
   CARE After the Storm, 1991, BANGL RESP CYCL
   Caritas, 1991, CYCL 91 MEM
   Chakma S, 2020, J DISASTER RES, V15, P481, DOI 10.20965/jdr.2020.p0481
   CHOWDHURY AMR, 1993, DISASTERS, V17, P291, DOI 10.1111/j.1467-7717.1993.tb00503.x
   Collins A.E., 2009, DISASTER DEV ROUTLED, P285
   Cutter SL, 1996, PROG HUM GEOG, V20, P529, DOI 10.1177/030913259602000407
   DEGG M, 1993, GEOGRAPHY, V78, P165
   Faruk M, 2018, PROCEDIA ENGINEER, V212, P1099, DOI 10.1016/j.proeng.2018.01.142
   Gaillard JC, 2008, J VOLCANOL GEOTH RES, V172, P163, DOI 10.1016/j.jvolgeores.2007.12.015
   HAQUE CE, 1992, DISASTERS, V16, P217, DOI 10.1111/j.1467-7717.1992.tb00400.x
   HAQUE CE, 1995, ENVIRON MANAGE, V19, P719, DOI 10.1007/BF02471954
   Hasan MR, 2019, INT J DISAST RISK RE, V41, DOI 10.1016/j.ijdrr.2019.101324
   Hosseini KA, 2020, INT J DISAST RISK RE, V45, DOI 10.1016/j.ijdrr.2020.101512
   Ibrahim F.B., 2019, DHAKA U J EARTH ENV, V8, P53
   Islam MA, 1974, Natural hazards: Global, regional and local
   Johnston D.M., 1999, DISASTER PREV MANAG, V8, P118, DOI [10.1108/09653569910266166, DOI 10.1108/09653569910266166]
   Khan A.A., 1974, ORIENTAL GEOGRAPHER, V18, P85
   Kitagawa K, 2015, HIST EDUC, V44, P371, DOI 10.1080/0046760X.2014.979255
   Liverman D. M., 1986, CITIES           MAY, V3, P142, DOI https://doi.org/10.1016/0264-2751(86)90053-3
   Mall RK, 2019, INT J DISAST RISK SC, V10, P14, DOI 10.1007/s13753-018-0210-9
   Mondal MSH, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101758
   MURTY TS, 1986, PROG OCEANOGR, V16, P195, DOI 10.1016/0079-6611(86)90039-X
   Norris FH, 2006, J TRAUMA STRESS, V19, P173, DOI 10.1002/jts.20109
   Ohiduzzaman M., 1993, THESIS BANGLADESH U
   Paul BK, 2010, ENVIRON HAZARDS-UK, V9, P89, DOI 10.3763/ehaz.2010.SI04
   Paul BK, 2012, PROF GEOGR, V64, P401, DOI 10.1080/00330124.2011.609780
   Paul BK, 2009, NAT HAZARDS, V50, P289, DOI 10.1007/s11069-008-9340-5
   Phillips B., 1997, International Journal of Mass Emergencies and Disasters, V15, P179, DOI DOI 10.1177/028072709701500110
   Saha SK, 2017, INT J DISAST RISK RE, V21, P196, DOI 10.1016/j.ijdrr.2016.12.009
   Seddiky MA, 2022, INT J DISAST RISK RE, V77, DOI 10.1016/j.ijdrr.2022.103088
   Seidler R, 2018, INT J DISAST RISK RE, V31, P92, DOI 10.1016/j.ijdrr.2018.04.023
   SIDDIQUE AK, 1987, TROP GEOGR MED, V39, P3
   Standing GoB, 2010, ORD DIS, P239
   Twigg J., 2004, Disaster risk reduction: mitigation and preparedness in development and emergency programming
   Twigg J., 1998, UNDERSTANDING VULNER
   Wegscheider S, 2011, NAT HAZARD EARTH SYS, V11, P249, DOI 10.5194/nhess-11-249-2011
   White G. F., 1974, Natural hazards, local, national, global
   Wisner B., 2004, At risk: natural hazards, people's vulnerability and disasters
NR 49
TC 4
Z9 4
U1 2
U2 9
PU CELL PRESS
PI CAMBRIDGE
PA 50 HAMPSHIRE ST, FLOOR 5, CAMBRIDGE, MA 02139 USA
EI 2405-8440
J9 HELIYON
JI Heliyon
PD JUL
PY 2023
VL 9
IS 7
AR e18417
DI 10.1016/j.heliyon.2023.e18417
EA JUL 2023
PG 12
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA P2YF4
UT WOS:001049339100001
PM 37539318
OA Green Submitted, Green Published, gold
DA 2025-01-10
ER

PT J
AU Löf, M
   Festin, ES
   Szydlo, M
   Brunet, J
AF Lof, Magnus
   Festin, Emma Sandell
   Szydlo, Mateusz
   Brunet, Jorg
TI Restoring mixed forests through conversion of Norway spruce stands:
   effects of fencing and mechanical site preparation on performance of
   planted beech and natural tree regeneration
SO EUROPEAN JOURNAL OF FOREST RESEARCH
LA English
DT Article
DE Climate change adaptation; Cost-efficient restoration; Rehabilitation;
   Resilience; Ungulate browsing
ID BIALOWIEZA PRIMEVAL FOREST; FAGUS-SYLVATICA L.; CLIMATE-CHANGE; MOOSE;
   SEEDLINGS; BOREALIZATION; BIODIVERSITY; DISTURBANCE; MANAGEMENT; PASTURE
AB Conversion of Norway spruce (Picea abies) plantations to more diverse and resilient forest types is an important task for European forest managers in the face of climate change and increased focus on ecosystem services beyond timber production. However, there is a lack of knowledge on how to cost-effectively restore such forests. This study reports the influence of vicinity (distance) of forest type (mixed or spruce), fencing and mechanical site preparation (MSP) on the early performance of planted beech (Fagus sylvatica) seedlings and natural regeneration of other tree species following clear-cuts of Norway spruce in southern Sweden. After 6 years, we found clear effects of fencing and MSP, but not of vicinity of forest type. Fencing had a positive effect on height growth of Scots pine (Pinus sylvestris) but not on height of planted beech and naturally regenerated birch (Betula pendula, B. pubescens). There was a positive effect of MSP on survival and height growth of planted beech, and on the amount of natural regeneration of Scots pine. We conclude that establishment of beech forest is greatly accelerated by active regeneration approaches such as planting. In addition, the combination of planting beech, natural regeneration of other species, fencing and MSP is effective to promote the transition to mixed and diverse stands with both broadleaves and conifers. Fencing represented the highest cost among the treatments, and its cost-effectiveness depends on the local ungulate browsing pressure. In our study, fencing was critical to protect natural regeneration of Scots pine from browsing. Finally, natural regeneration of birch was abundant in our study and relatively unaffected by fencing and MSP treatments. With time, pre-commercial thinning of the naturally regenerated birch will be needed to maintain a diverse mixture of tree species.
C1 [Lof, Magnus; Brunet, Jorg] Swedish Univ Agr Sci, Southern Swedish Forest Res Ctr, POB 190, S-23422 Lomma, Sweden.
   [Festin, Emma Sandell] Scanian Landscape Fdn, Nya Torg 11, S-24330 Hoor, Sweden.
   [Szydlo, Mateusz] Nordfor Training & Consulting AB, Viktoriagatan 1, S-56131 Huskvarna, Sweden.
C3 Swedish University of Agricultural Sciences
RP Löf, M (corresponding author), Swedish Univ Agr Sci, Southern Swedish Forest Res Ctr, POB 190, S-23422 Lomma, Sweden.
EM Magnus.Lof@slu.se
RI Brunet, Jörg/B-3583-2012
OI Brunet, Jorg/0000-0003-2667-4575
CR Ammer C, 2008, AUSTRIAN J FOR SCI, V125, P3
   Banin LF, 2023, PHILOS T R SOC B, V378, DOI 10.1098/rstb.2021.0090
   Bergquist J, 2009, SCAND J FOREST RES, V24, P308, DOI 10.1080/02827580903117420
   Bergqvist G., 2014, Silva Fennica, V48, P1077
   Bogghed A, 2018, RAPPORT 20182
   Bolte A, 2009, SCAND J FOREST RES, V24, P473, DOI 10.1080/02827580903418224
   Brunet J, 2012, SCAND J FOREST RES, V27, P245, DOI 10.1080/02827581.2011.633548
   Côté SD, 2004, ANNU REV ECOL EVOL S, V35, P113, DOI 10.1146/annurev.ecolsys.35.021103.105725
   Edenius L, 2002, SILVA FENN, V36, P57, DOI 10.14214/sf.550
   Emmer IM, 1998, BIODIVERS CONSERV, V7, P229, DOI 10.1023/A:1008840603549
   Eurostat, 2018, IND ROUNDW SPEC EXP
   Felton A, 2010, FOREST ECOL MANAG, V260, P939, DOI 10.1016/j.foreco.2010.06.011
   Forest Europe, 2020, MINISTERIAL C PROTEC
   Gill RMA, 2010, FORESTRY, V83, P53, DOI 10.1093/forestry/cpp031
   Gilliam FS, 2016, NEW PHYTOL, V212, P871, DOI 10.1111/nph.14255
   Girdziusas S, 2021, SCAND J FOREST RES, DOI 10.1080/02827581.2021.1992003
   HANNAH L, 1995, BIODIVERS CONSERV, V4, P128, DOI 10.1007/BF00137781
   Herfindal I, 2015, FOREST ECOL MANAG, V348, P97, DOI 10.1016/j.foreco.2015.03.045
   Holgen P., 2004, Journal of Forest Economics, V10, P123, DOI 10.1016/j.jfe.2004.07.001
   Huuskonen S, 2021, FOREST ECOL MANAG, V479, DOI 10.1016/j.foreco.2020.118558
   Jedrzejewska B, 1997, ACTA THERIOL, V42, P399
   Jonsson JA, 2016, THESIS SO SWEDISH FO
   Kaminska A, 2020, FOREST ECOL MANAG, V476, DOI 10.1016/j.foreco.2020.118432
   Kardell Ö, 2016, ENVIRON HIST-UK, V22, P561, DOI 10.3197/096734016X14727286515817
   Karlsson M., 2001, Natural regeneration of broadleaved tree species in southern Sweden: effects of silvicultural treatments and seed dispersal from surrounding stands
   Kazda M, 1998, FOREST ECOL MANAG, V102, P245, DOI 10.1016/S0378-1127(97)00166-7
   Kenk G, 2001, FOREST ECOL MANAG, V151, P107, DOI 10.1016/S0378-1127(00)00701-5
   Knoke T, 2008, EUR J FOREST RES, V127, P89, DOI 10.1007/s10342-007-0186-2
   Knoke T, 2021, ECOL ECON, V185, DOI 10.1016/j.ecolecon.2021.107046
   Kremer KN, 2020, RESTOR ECOL, V28, P1074, DOI 10.1111/rec.13247
   Kuijper DPJ, 2010, J VEG SCI, V21, P1082, DOI 10.1111/j.1654-1103.2010.01217.x
   Kullberg Y, 2001, SCAND J FOREST RES, V16, P371, DOI 10.1080/02827580152496768
   Leidinger J, 2021, FOREST ECOL MANAG, V498, DOI 10.1016/j.foreco.2021.119552
   Lindbladh M, 2014, SCAND J FOREST RES, V29, P686, DOI 10.1080/02827581.2014.960893
   Löf M, 2000, FOREST ECOL MANAG, V134, P111, DOI 10.1016/S0378-1127(99)00250-9
   Lof M., 2012, A Goal-Oriented Approach to Forest Landscape Restoration, V16, P373, DOI [10.1007/978-94-007-5338-914, DOI 10.1007/978-94-007-5338-9_14, DOI 10.1007/978-94-007-5338-914]
   Lof M., 2010, Ecol. Bull., V53, P165
   Löf M, 2019, NEW FOREST, V50, P139, DOI 10.1007/s11056-019-09713-0
   Löf M, 2012, NEW FOREST, V43, P825, DOI 10.1007/s11056-012-9332-x
   Månsson J, 2007, SCAND J FOREST RES, V22, P407, DOI 10.1080/02827580701515023
   Meli P, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0171368
   Messier C, 2022, CONSERV LETT, V15, DOI 10.1111/conl.12829
   Metslaid M, 2013, BOREAL ENVIRON RES, V18, P25
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Olesen CR, 2008, FOREST ECOL MANAG, V255, P3962, DOI 10.1016/j.foreco.2008.03.050
   Ols C, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abd6a7
   Ols C, 2020, SCI TOTAL ENVIRON, V742, DOI 10.1016/j.scitotenv.2020.140453
   Palmer SCF, 2004, FOREST ECOL MANAG, V192, P251, DOI 10.1016/j.foreco.2004.01.038
   Pfeffer SE, 2021, FOREST ECOL MANAG, V479, DOI 10.1016/j.foreco.2020.118597
   Pretzsch H, 2016, FOREST ECOL MANAG, V373, P149, DOI 10.1016/j.foreco.2016.04.043
   Reventlow DOJ, 2021, EUR J FOREST RES, V140, P1005, DOI 10.1007/s10342-021-01381-0
   Skogforsk, 2022, SKOGSKUNSKAP
   SMHI (Swedish Meteorological and Hydrological Institute), 2022, SEA IC ARCH CHARTS R
   Spiecker H, 2004, EUR FOR INST RES REP, V18, P261
   Sveaskog, 2011, EK RASL SVEASK
   Thurm EA, 2018, FOREST ECOL MANAG, V430, P485, DOI 10.1016/j.foreco.2018.08.028
   von Lüpke B, 2004, EUR FOR INST RES REP, V18, P121
   von Teuffel K, 2004, EUR FOR INST RES REP, V18, P63
   Wallgren M, 2013, FOREST ECOL MANAG, V305, P229, DOI 10.1016/j.foreco.2013.05.057
NR 59
TC 5
Z9 5
U1 3
U2 12
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1612-4669
EI 1612-4677
J9 EUR J FOREST RES
JI Eur. J. For. Res.
PD AUG
PY 2023
VL 142
IS 4
BP 763
EP 772
DI 10.1007/s10342-023-01554-z
EA MAR 2023
PG 10
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA L8CE0
UT WOS:000952310800003
OA hybrid
DA 2025-01-10
ER

PT J
AU Spring, A
   Neyelle, M
   Bezha, W
   Simmons, D
   Blay-Palmer, A
AF Spring, Andrew
   Neyelle, Michael
   Bezha, Walter
   Simmons, Deborah
   Blay-Palmer, Alison
TI Learning from the past to deal with the future: Using different
   knowledges to ensure food security in the Tsa Tue biosphere reserve
   (Northwest Territories, Canada)
SO FRONTIERS IN SUSTAINABLE FOOD SYSTEMS
LA English
DT Article
DE climate change adaptation; food systems; indigenous; North; food
   security; traditional knowledge
ID CLIMATE-CHANGE; NUTRITION TRANSITION; ADAPTIVE CAPACITY; HEALTH; INUIT;
   VULNERABILITY; PERSPECTIVES; COMMUNITIES; ADAPTATION; PEOPLES
AB The community of Deli?ne, located in the UNESCO Tsa Tue Biosphere Reserve, is experiencing the impacts of climate change on the lands surrounding Great Bear Lake, in Northwest Territories, Canada. These impacts are limiting the community's ability to access the land to support their food system, which depends on harvesting traditional foods. This article details a participatory action research approach, driven by the community, that used on-the-land activities, workshops, community meetings and interviews to develop a community food security action plan to deal with the uncertainties of a changing climate on the food system. Data was analyzed using the Community Capitals Framework (CCF) to describe the complex nature of the community's food system in terms of available or depleting capitals, as well as how the impacts of climate change affect these capitals, and the needs identified by the community to aid in adaptation. For Deli?ne, the theme of self-sufficiency emerged out of concerns that climate change is negatively impacting supplies from the south and that building and maintaining both social and cultural capital are key to achieving food security in an uncertain future. Learning from the past and sharing Traditional Knowledge(1)was a key element of food security planning. However, other types of knowledge, such as research and monitoring of the health of the land, and building capacity of the community through training, were important aspects of adaptation planning in the community. This knowledge, in its many forms, may assist the community in determining its own direction for achieving food security, and offers a glimpse into food sovereignty in Northern regions.
C1 [Spring, Andrew; Blay-Palmer, Alison] Wilfrid Laurier Univ, Dept Geog & Environm Studies, Waterloo, ON, Canada.
   [Neyelle, Michael; Bezha, Walter; Simmons, Deborah] Sahtu Renewable Resources Board, Tulita, NT, Canada.
C3 Wilfrid Laurier University
RP Spring, A (corresponding author), Wilfrid Laurier Univ, Dept Geog & Environm Studies, Waterloo, ON, Canada.
EM aspring@wlu.ca
OI Spring, Andrew/0000-0001-8524-8926
FU Government of Canada's Climate Change and Health Adaptation Program;
   Social Science and Humanities Research Council (SSHRC) [895-2015-1016];
   Northern Scientific Training Program
FX This work was made possible by the contributions from the Government of
   Canada's Climate Change and Health Adaptation Program, Social Science
   and Humanities Research Council (SSHRC) (granted: #895-2015-1016), and
   the Northern Scientific Training Program.
CR Abele F, 2009, NORTH REV, P37
   Adamczewski J., 2012, COMP CALVING P UNPUB
   Adger WN, 2013, NAT CLIM CHANGE, V3, P112, DOI [10.1038/NCLIMATE1666, 10.1038/nclimate1666]
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Altrichter H., 2002, LEARN ORGAN, V9, P125, DOI DOI 10.1108/09696470210428840
   Andrachuk M, 2012, REG ENVIRON CHANGE, V12, P867, DOI 10.1007/s10113-012-0299-0
   [Anonymous], 2016, CBC News
   [Anonymous], 2011, Community-Based Participatory Research for Health: From Process to Outcomes
   [Anonymous], 2015, NO COMMUNITIES WORKI
   Armitage D, 2011, GLOBAL ENVIRON CHANG, V21, P995, DOI 10.1016/j.gloenvcha.2011.04.006
   Assembly of First Nations, 2009, First Nations Ethics Guide on Research and Aboriginal Traditional Knowledge
   Bartlett C., 2012, J. Environ. Stud. Sci, V2, P331, DOI DOI 10.1007/S13412-012-0086-8
   Bartlett JG, 2005, CAN J PUBLIC HEALTH, V96, pS22, DOI 10.1007/BF03405312
   Bayha M, 2020, AGR HUM VALUES, V37, P597, DOI 10.1007/s10460-020-10059-z
   Blay-Palmer A, 2016, AGR HUM VALUES, V33, P27, DOI 10.1007/s10460-015-9592-0
   Bokhorst S, 2016, AMBIO, V45, P516, DOI 10.1007/s13280-016-0770-0
   Boulanger J., 2014, ESTIMATE BREEDING FE
   Brinkman T, 2014, ECOL SOC, V19, DOI 10.5751/ES-06861-190418
   Caine KJ, 2007, DEV CHANGE, V38, P447, DOI 10.1111/j.1467-7660.2007.00419.x
   Change, 2018, CONTEXT STRENGTHENIN, DOI 10.1038/291285a0
   Chen A., 2019, CANADIAN FOOD STUDIE, V6, P140, DOI DOI 10.15353/CFS-RCEA.V6I1.301
   Costello A., 2009, Lancet, V373, P1693, DOI DOI 10.1016/S0140-6736(09)60935-1
   Council of Canadian Academies, 2014, Aboriginal Food Security in Northern Canada: An Assessment of the State of Knowledge/The Expert Panel on the State of Knowledge of Food Security in Northern Canada
   Crane TA, 2010, ECOL SOC, V15
   Damman S, 2008, FOOD POLICY, V33, P135, DOI 10.1016/j.foodpol.2007.08.002
   Delne ekw Working Group, 2016, BEL GOTS EKWC DEL CA
   Dombrowski K., 2013, Journal of Anthropology, V2013, P1
   Flora C.B., 2004, Rural communities: Legacy and change, V2nd
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Ford JD, 2008, GEOGR J, V174, P45, DOI 10.1111/j.1475-4959.2007.00249.x
   Ford JD, 2006, POLAR REC, V42, P127, DOI 10.1017/S0032247406005122
   Ford JD, 2006, GLOBAL ENVIRON CHANG, V16, P145, DOI 10.1016/j.gloenvcha.2005.11.007
   Ford JD, 2010, GLOBAL ENVIRON CHANG, V20, P177, DOI 10.1016/j.gloenvcha.2009.10.008
   Gilmore T., 1986, Consultation, V5, P160
   Guyot M, 2006, INT J CIRCUMPOL HEAL, V65, P403, DOI 10.3402/ijch.v65i5.18135
   Hamm MW, 2003, J NUTR EDUC BEHAV, V35, P37, DOI 10.1016/S1499-4046(06)60325-4
   Harnum B., 2014, BEST BOTH WORLDS DEP
   Hay I., 2000, QUALITATIVE RES METH
   Hipel KW, 2010, J SYST SCI SYST ENG, V19, P1, DOI 10.1007/s11518-010-5122-1
   Kuhnlein HV, 2004, J NUTR, V134, P1447, DOI 10.1093/jn/134.6.1447
   Levkoe CZ, 2011, LOCAL ENVIRON, V16, P687, DOI 10.1080/13549839.2011.592182
   Loring PA, 2009, ENVIRON SCI POLICY, V12, P466, DOI 10.1016/j.envsci.2008.10.006
   Marsden T., 2012, FOOD PRACTICES TRANS, P311
   McCarthy DDP, 2011, ECOL SOC, V16, DOI 10.5751/ES-04255-160318
   McGregor D., 2010, Pimatisiwin - A Journal of Aboriginal and Indigenous Community Health, V8, P101
   McTaggart R, 1999, SYST PRACT ACT RES, V12, P493, DOI 10.1023/A:1022417623393
   Nickels S., 2006, Unikkaaqatigiit - Putting the Human Face on Climate Change: Perspectives from Inuit in Canada
   Olsson P, 2004, ENVIRON MANAGE, V34, P75, DOI 10.1007/s00267-003-0101-7
   Ostrom E, 2004, ECOL ECON, V49, P488, DOI 10.1016/j.ecolecon.2004.01.010
   Parlee B, 2007, J CAN STUD, V41, P112, DOI 10.3138/jcs.41.3.112
   Parlee B, 2012, CLIMATIC CHANGE, V115, P13, DOI 10.1007/s10584-012-0588-0
   Patel R, 2009, J PEASANT STUD, V36, P663, DOI 10.1080/03066150903143079
   Patel RC, 2012, PLOS MED, V9, DOI 10.1371/journal.pmed.1001223
   Pearce T, 2015, ARCTIC, V68, P233, DOI 10.14430/arctic4475
   Pearce T, 2010, POLAR REC, V46, P157, DOI 10.1017/S0032247409008602
   Pearce TD, 2009, POLAR RES, V28, P10, DOI 10.1111/j.1751-8369.2008.00094.x
   Power EM, 2008, CAN J PUBLIC HEALTH, V99, P95, DOI 10.1007/BF03405452
   Prowse TD, 2009, AMBIO, V38, P272, DOI 10.1579/0044-7447-38.5.272
   Rosol R, 2011, INT J CIRCUMPOL HEAL, V70, P488, DOI 10.3402/ijch.v70i5.17862
   Scoones I, 2009, J PEASANT STUD, V36, P171, DOI 10.1080/03066150902820503
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Spring A., 2020, BUILDING COMMUNITY U
   Spring A., 2018, Canadian Food Studies/La Revue canadienne des etudes sur l'alimentation, V5, P111, DOI [10.15353/cfs-rcea.v5i2.199, DOI 10.15353/CFS-RCEA.V5I2.199]
   Stroink ML, 2013, LOCAL ENVIRON, V18, P620, DOI 10.1080/13549839.2013.798635
   Tarasuk V., 2022, Household food insecurity in Canada, 2021
   Tarasuk V., 2016, HOUSEHOLD FOOD INSEC
   Tondu JME, 2014, ARCTIC, V67, P419
   Usher PJ, 2003, SOC INDIC RES, V61, P175, DOI 10.1023/A:1021344707027
   Walker B, 2004, ECOL SOC, V9
   Wenzel GW, 2009, POLAR RES, V28, P89, DOI 10.1111/j.1751-8369.2009.00098.x
   Wesche S D., 2016, Canadian Food Studies/La Revue canadienne des etudes sur l'alimentation, V3, P23
   Wesche SD, 2010, ECOHEALTH, V7, P361, DOI 10.1007/s10393-010-0344-8
   Willox AC, 2012, SOC SCI MED, V75, P538, DOI 10.1016/j.socscimed.2012.03.043
   Wilson K, 2003, HEALTH PLACE, V9, P83, DOI 10.1016/S1353-8292(02)00016-3
NR 74
TC 3
Z9 3
U1 3
U2 12
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2571-581X
J9 FRONT SUSTAIN FOOD S
JI Front. Sustain. Food Syst.
PD JAN 20
PY 2023
VL 6
AR 984290
DI 10.3389/fsufs.2022.984290
PG 13
WC Food Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Food Science & Technology
GA 8N9ZM
UT WOS:000925503500001
OA gold
DA 2025-01-10
ER

PT J
AU Su, H
   Willaarts, B
   Luna-Gonzalez, D
   Krol, MS
   Hogeboom, RJ
AF Su, Han
   Willaarts, Barbara
   Luna-Gonzalez, Diana
   Krol, Maarten S.
   Hogeboom, Rick J.
TI Gridded 5 arcmin datasets for simultaneously farm-size-specific and
   crop-specific harvested areas in 56 countries
SO EARTH SYSTEM SCIENCE DATA
LA English
DT Article; Data Paper
ID CULTIVATED PLANET; SMALLHOLDER
AB Farms are not homogeneous. Smaller farms generally have different planted crops, yields, agricultural inputs, and irrigation applications compared to larger farms. However, gridded farm-size-specific data that are moreover crop specific, are currently lacking. This obscures our understanding of differences between smallscale and large-scale farms, e.g., with respect to climate change adaptation and mitigation strategies, contribution to (local) food security, and water consumption patterns. This study fills a significant part of the current data gap, by developing high-resolution gridded, simultaneously farm-size-specific and crop-specific datasets of harvested areas for 56 countries (i.e., covering about half the global cropland). Hereto, we downscaled the most complete global direct measurements of farm size and crop type by compiling state of the art datasets, including crop maps, cropland extent maps, and dominant field size distribution, representative for the year 2010. Using two different crop map sources, we were able to produce two new 5 arcmin gridded datasets on simultaneously derived farm-size-specific and crop-specific harvested areas: one for 11 farm sizes, 27 crops, and 2 farming systems, and one for 11 farm sizes, 42 crops, and 4 farming systems. In line with previous findings, our resulting datasets show major differences in planted crops and irrigated area (%) between farm sizes. Consistency between our resulting datasets and (i) observations from satellite images on farm-size-specific oil palm, (ii) household surveys on the farm-size-specific irrigated area (%), and (iii) previous studies that mapped noncrop-specific farm sizes and support the validity of our datasets. Although at grid level some uncertainties remain to be overcome, particularly those stemming from uncertainties in crop maps, results at country level seem robust. Source data, code, and resulting datasets are open access and freely available at https://doi.org/10.5281/zenodo.6976249 (Su et al., 2022).
C1 [Su, Han; Krol, Maarten S.; Hogeboom, Rick J.] Univ Twente, Fac Engn Technol, Multidisciplinary Water Management Grp, NL-7500 AE Enschede, Netherlands.
   [Su, Han; Willaarts, Barbara; Luna-Gonzalez, Diana] Int Inst Appl Syst Anal IIASA, Water Secur Grp, A-2361 Laxenburg, Austria.
   [Hogeboom, Rick J.] Water Footprint Network, NL-7522 NB Enschede, Netherlands.
C3 University of Twente; International Institute for Applied Systems
   Analysis (IIASA)
RP Su, H (corresponding author), Univ Twente, Fac Engn Technol, Multidisciplinary Water Management Grp, NL-7500 AE Enschede, Netherlands.
EM h.su@utwente.nl
RI Su, Han/LSM-2128-2024; Krol, Maarten/M-5997-2013; Hogeboom,
   Rick/AAH-1573-2020
OI Willaarts, Barbara Anna/0000-0001-6589-1543; Su,
   Han/0000-0001-9018-6846; Krol, Maarten S./0000-0002-6755-3692; Hogeboom,
   Rick/0000-0002-5077-4368; Luna-Gonzalez, Diana V./0000-0003-0194-4137
FU H2020 European Research Council (Advanced Grant 2018) [834716];
   University of Twente; European Research Council (ERC) [834716] Funding
   Source: European Research Council (ERC)
FX This research has been supported by the H2020 European Research Council
   (Advanced Grant 2018 (grant no. 834716)) and the University of Twente.
CR [Anonymous], FAOSTAT
   Bosc P. M., 2013, INVESTING SMALLHOLDE
   Descals A, 2021, EARTH SYST SCI DATA, V13, P1211, DOI 10.5194/essd-13-1211-2021
   EUROSTAT: EUROSTAT, 2021, AGR FORESTRY FISHERI
   FAO, 2015, PROGRAMME CONCEPTS D, V1
   FAO, 2019, METH COMP MON SUST D, V18-14
   FAO, 2017, Small Family Farms Data Portrait. Basic Information Document. Methodology and Data Description
   FAO, 2020, RULIS COD RUR LIV IN
   FAO, 2021, RULIS RUR LIV INF SY
   FAO and IIASA, 2021, GLOB AGR EC ZON VERS
   Fischer G., 2021, Global Agro-Ecological Zones v4-Model Documentation, DOI [10.4060/cb4744-n, DOI 10.4060/CB4744-N,286]
   Fritz S, 2015, GLOBAL CHANGE BIOL, V21, P1980, DOI 10.1111/gcb.12838
   Giller KE, 2021, FOOD SECUR, V13, P1073, DOI 10.1007/s12571-021-01184-6
   Gollin D, 2019, FARM SIZE PRODUCTIVI, P1
   Grafton RQ, 2018, SCIENCE, V361, P748, DOI 10.1126/science.aat9314
   Gurobi Optimization LLC, 2023, Gurobi Optimizer Reference Manual.
   Herrero M, 2017, LANCET PLANET HEALTH, V1, pE33, DOI [10.1016/s2542-5196(17)30007-4, 10.1016/S2542-5196(17)30007-4]
   Iizumi T, 2021, CABI AGR BIOSCI, V2, DOI 10.1186/s43170-021-00063-6
   Kavats O, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12244080
   Khalil C.A., 2017, Defining small-scale food producers to monitor target 2.3. of the 2030 agend for sustainable development
   Kim KH, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac20f4
   Latham J., 2014, Global Land Cover SHARE, P1
   Lesiv M, 2019, GLOBAL CHANGE BIOL, V25, P174, DOI 10.1111/gcb.14492
   Lowder SK, 2021, WORLD DEV, V142, DOI 10.1016/j.worlddev.2021.105455
   Lowder SK, 2016, WORLD DEV, V87, P16, DOI 10.1016/j.worlddev.2015.10.041
   Lu M, 2020, EARTH SYST SCI DATA, V12, P1913, DOI 10.5194/essd-12-1913-2020
   Mehrabi Z, 2021, NAT SUSTAIN, V4, P154, DOI 10.1038/s41893-020-00631-0
   Mekonnen MM, 2016, SCI ADV, V2, DOI 10.1126/sciadv.1500323
   Meyfroidt P, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa5ef6
   Muyanga M, 2019, AM J AGR ECON, V101, P1140, DOI 10.1093/ajae/aaz003
   Noack F, 2022, AM J AGR ECON, V104, P1460, DOI 10.1111/ajae.12274
   Ren CC, 2019, J CLEAN PROD, V220, P357, DOI 10.1016/j.jclepro.2019.02.151
   Ricciardi V, 2021, NAT SUSTAIN, V4, P651, DOI 10.1038/s41893-021-00699-2
   Ricciardi V, 2020, NAT SUSTAIN, V3, P836, DOI 10.1038/s41893-020-00623-0
   Ricciardi V, 2018, DATA BRIEF, V19, P1970, DOI 10.1016/j.dib.2018.06.057
   Ricciardi V, 2018, GLOB FOOD SECUR-AGR, V17, P64, DOI 10.1016/j.gfs.2018.05.002
   Riesgo AL., 2016, Workshop Proc, DOI [10.2791/653314, DOI 10.2791/653314]
   Rudra A., 1968, ECON POLIT WEEKLY, P1041
   Samberg LH, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/12/124010
   Savastano S., 2017, WORLD BANK, DOI [10.1596/1813-9450-8127, DOI 10.1596/1813-9450-8127]
   Su H., 2022, ZENODO, DOI [10.5281/zenodo.6976249, DOI 10.5281/ZENODO.6976249]
   UNSD, 2022, SDG IND
   Yu QY, 2020, EARTH SYST SCI DATA, V12, P3545, DOI 10.5194/essd-12-3545-2020
NR 43
TC 2
Z9 2
U1 5
U2 22
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 1866-3508
EI 1866-3516
J9 EARTH SYST SCI DATA
JI Earth Syst. Sci. Data
PD SEP 27
PY 2022
VL 14
IS 9
BP 4397
EP 4418
DI 10.5194/essd-14-4397-2022
PG 22
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences
GA 4V9TB
UT WOS:000859811100001
OA Green Submitted, gold, Green Accepted
DA 2025-01-10
ER

PT J
AU Tananaev, N
   Lotsari, E
AF Tananaev, Nikita
   Lotsari, Eliisa
TI Defrosting northern catchments: Fluvial effects of permafrost
   degradation
SO EARTH-SCIENCE REVIEWS
LA English
DT Article
DE Climate change; Arctic; Permafrost degradation; Fluvial processes;
   Fluvial landforms; Permafrost hydrology; Linear thermokarst; Hillslope
   water tracks; Climate change; Arctic; Permafrost degradation; Fluvial
   processes; Fluvial landforms; Permafrost hydrology; Linear thermokarst;
   Hillslope water tracks
ID LENA RIVER; CLIMATE-CHANGE; WATER TRACKS; ARCTIC RIVER; ACTIVE-LAYER;
   SEDIMENT TRANSPORT; THERMAL EROSION; TRANSMISSIVITY FEEDBACK; HYDROLOGIC
   CONNECTIVITY; FLOW CHARACTERISTICS
AB This paper discusses the potential response of fluvial processes and landforms to the projected permafrost degradation and related hydrological change. Fluvial system structure is presented in the first section of the paper along with permafrost controls over its functioning, which vary across fluvial system compartments. The distinction is drawn between primarily fluvial landforms that are expected to adjust to future hydrology with less permafrost constraints, and primarily cryogenic landforms evolving in line with permafrost disturbances. The influence of permafrost on fluvial action varies across compartments: on hillslopes, permafrost mostly controls the occurrence of surface runoff, in river valleys and channels, sediment erodibility, while thermal interaction is essential for growing thermo-erosional gullies. Observed and projected changes in permafrost and hydrology are outlined, and their relevance for cryo-fluvial evolution of fluvial systems is reviewed. Based on these projections, future changes in fluvial action in each compartment are discussed. On hillslopes, where permafrost exerts important controls on hillslope hydrology, fluvial activity of overland flow is expected to decrease following the active layer deepening and decreased overland flow duration. In erosional networks, controlled by thermal interaction between runoff and permafrost terrain, higher water temperature is expected to increase the occurrence and rates of thermo-erosional gully development. In river valleys and channels, where permafrost controls the erodibility of bed and bank material, the expected fluvial feedbacks vary across scales and stream orders, and include changes in seasonality of channel deformations, increased retreat rates in lower river banks and decreased, in higher banks, along with floodplain subsidence, and minor potential for complete destabilization of existing channel patterns. Future collateral effects of fluvial change include alterations of terrestrial biogeochemical cycles and societal impact that must be accounted for in climate change adaptation and mitigation strategies.
C1 [Tananaev, Nikita] Russian Acad Sci, Melnikov Permafrost Inst, Siberian Branch, 36 Merzlotnaya Str, Yakutsk 677010, Russia.
   [Tananaev, Nikita] North Eastern Fed Univ, 46 Kulakovskogo Str, Yakutsk 677004, Russia.
   [Lotsari, Eliisa] Aalto Univ, Dept Built Environm, Water & Environm Engn, PL 15200,Tietotie 1B, FI-00076 Aalto, Finland.
C3 Melnikov Permafrost Institute, Siberian Branch of the RAS; Russian
   Academy of Sciences; North-Eastern Federal University in Yakutsk; Aalto
   University
RP Tananaev, N (corresponding author), Russian Acad Sci, Melnikov Permafrost Inst, Siberian Branch, 36 Merzlotnaya Str, Yakutsk 677010, Russia.
EM TananaevNI@mpi.ysn.ru; eliisa.s.lotsari@aalto.fi
RI Tananaev, Nikita/J-3471-2012
OI Lotsari, Eliisa/0000-0002-0120-8722
FU Academy of Finland Mobility [333218]; SB RAS [333218]; RFBR
   [????-A20-120111690008-9]; Academy of Finland (AKA) [333218] Funding
   Source: Academy of Finland (AKA)
FX This paper was prepared under the Academy of Finland Mobility Grant to
   N.T. [grant number 333218] , during his stay at the University of
   Eastern Finland in Joensuu, Finland. The research is part of the
   state-supported project awarded to Melnikov Permafrost Institute, SB RAS
   [project number ????-A20-120111690008-9] , and partially funded by RFBR
   [grant number 21-55-75004] .
CR Aalto J, 2021, COMMUN EARTH ENVIRON, V2, DOI 10.1038/s43247-021-00292-7
   Abbott BW, 2015, BIOGEOSCIENCES, V12, P3725, DOI 10.5194/bg-12-3725-2015
   Alabyan AM, 1998, EARTH SURF PROC LAND, V23, P467, DOI 10.1002/(SICI)1096-9837(199805)23:5<467::AID-ESP861>3.0.CO;2-T
   Alekseevskiy NI, 2008, INT J SEDIMENT RES, V23, P93, DOI 10.1016/S1001-6279(08)60009-8
   Allaart L, 2021, GEOMORPHOLOGY, V382, DOI 10.1016/j.geomorph.2021.107693
   Anderson RS, 2013, EARTH SURF PROC LAND, V38, P299, DOI 10.1002/esp.3330
   Andresen C.G., 2020, CRYOSPHERE
   Anisimov O, 2008, GEOMORPHOLOGY, V98, P262, DOI 10.1016/j.geomorph.2006.12.029
   [Anonymous], 1986, CAN WATER RESOUR J, DOI DOI 10.4296/CWRJ1101058
   [Anonymous], 2013, Treatise on Geomorphology Vol 8 Glacial and Periglacial Geomorphology
   Anthony KW, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-05738-9
   Arcone S.A., 1998, 7 INT C PERM P COLL, P16
   Attal M, 2009, J GEOPHYS RES-EARTH, V114, DOI 10.1029/2009JF001328
   Ball BA, 2015, J GEOPHYS RES-BIOGEO, V120, P270, DOI 10.1002/2014JG002856
   Balser AW, 2014, J GEOPHYS RES-EARTH, V119, P1106, DOI 10.1002/2013JF002889
   Beach T, 2019, GEOMORPHOLOGY, V331, P1, DOI 10.1016/j.geomorph.2018.12.027
   Beel CR, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-68824-3
   Beltaos S, 2021, COLD REG SCI TECHNOL, V186, DOI 10.1016/j.coldregions.2021.103279
   Berkovich K.M., 1990, B MOSCOW STATE U GEO, P17
   Berthling I, 2011, QUATERNARY RES, V75, P378, DOI 10.1016/j.yqres.2010.12.011
   Bishop K, 2011, HYDROL PROCESS, V25, P3950, DOI 10.1002/hyp.8355
   Biskaborn BK, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-018-08240-4
   Blais-Stevens A, 2015, ENGINEERING GEOLOGY FOR SOCIETY AND TERRITORY, VOL 1: CLIMATE CHANGE AND ENGINEERING GEOLOGY, P449, DOI 10.1007/978-3-319-09300-0_86
   Bogaart PW, 2003, GEOMORPHOLOGY, V54, P257, DOI 10.1016/S0169-555X(02)00360-4
   Bonnaventure PP, 2013, PROG PHYS GEOG, V37, P352, DOI 10.1177/0309133313478314
   Bowden WB, 2008, J GEOPHYS RES-BIOGEO, V113, DOI 10.1029/2007JG000470
   Box JE, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/aafc1b
   Brierley GJ, 2016, RIVER RES APPL, V32, P823, DOI 10.1002/rra.2930
   Brierley GJ, 2005, GEOMORPHOLOGY AND RIVER MANAGEMENT: APPLICATIONS OF THE RIVER STYLES FRAMEWORK, P1
   Brosten TR, 2009, J HYDROL, V373, P479, DOI 10.1016/j.jhydrol.2009.05.011
   Brutsaert W, 2012, J GEOPHYS RES-ATMOS, V117, DOI 10.1029/2012JD018344
   Burke EJ, 2020, CRYOSPHERE, V14, P3155, DOI 10.5194/tc-14-3155-2020
   BURN CR, 1990, CAN GEOGR-GEOGR CAN, V34, P273, DOI 10.1111/j.1541-0064.1990.tb01092.x
   BURT TP, 1976, EARTH SURF PROC LAND, V1, P349, DOI 10.1002/esp.3290010404
   Candel J, 2021, PROG PHYS GEOG, V45, P253, DOI 10.1177/0309133320948831
   Chalov RS, 2012, WATER RESOUR+, V39, P82, DOI 10.1134/S0097807811060029
   Chalov R.S, 2021, DRIVERS CONDITIONS R, V1
   Chalov S, 2011, IAHS-AISH P, V346, P111
   Chassiot L, 2020, EARTH-SCI REV, V207, DOI 10.1016/j.earscirev.2020.103231
   Chistyakov G.E, 1952, RUSLOVYE PROCESSY R, V3, P15
   Chorley R.J, 2019, INTRO FLUVIAL GEOMOR
   Church M, 2017, PERMAFROST PERIGLAC, V28, P517, DOI 10.1002/ppp.1867
   Connon RF, 2014, HYDROL PROCESS, V28, P4163, DOI 10.1002/hyp.10206
   Costard F, 2021, GEOPHYS RES LETT, V48, DOI 10.1029/2020GL091070
   Costard F, 2014, PERMAFROST PERIGLAC, V25, P162, DOI 10.1002/ppp.1812
   CRAMPTON CB, 1979, ARCTIC, V32, P148
   Crawford JT, 2014, ARCT ANTARCT ALP RES, V46, P344, DOI 10.1657/1938-4246-46.2.344
   Crites H, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-60322-w
   Cunliffe AM, 2019, CRYOSPHERE, V13, P1513, DOI 10.5194/tc-13-1513-2019
   Curasi SR, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/4/045002
   Debolskiy MV, 2020, J GEOPHYS RES-EARTH, V125, DOI 10.1029/2019JF005355
   Deprez M, 2020, EARTH-SCI REV, V203, DOI 10.1016/j.earscirev.2020.103143
   Docherty CL, 2017, POLAR SCI, V14, P83, DOI 10.1016/j.polar.2017.08.001
   Dupeyrat L, 2011, PERMAFROST PERIGLAC, V22, P179, DOI 10.1002/ppp.722
   Embleton C., 1975, PERIGLACIAL GEOMORPH, V2
   Ensom T, 2020, PERMAFROST PERIGLAC, V31, P383, DOI 10.1002/ppp.2051
   Ettema R., 2004, TR0420 ERDCCRREL
   Evans SG, 2020, J GEOPHYS RES-EARTH, V125, DOI 10.1029/2019JF005256
   Evans SG, 2017, GEOPHYS RES LETT, V44, P1803, DOI 10.1002/2016GL072009
   Farquharson LM, 2019, GEOPHYS RES LETT, V46, P6681, DOI 10.1029/2019GL082187
   Fedorov AN, 2014, ECOHYDROLOGY, V7, P188, DOI 10.1002/eco.1378
   Ferguson R.I., 1981, BRIT RIVERS, P90
   Fotiev S., 2013, Earth Cryosphere, V17, P41
   Fox GA, 2007, EARTH SURF PROC LAND, V32, P1558, DOI 10.1002/esp.1490
   Frampton A, 2015, WATER RESOUR RES, V51, P7680, DOI 10.1002/2014WR016689
   French H.M., 2017, The Periglacial Environment, DOI [10.1002/9781119132820, DOI 10.1002/9781119132820]
   Frey KE, 2009, HYDROL PROCESS, V23, P169, DOI 10.1002/hyp.7196
   Fritz M, 2015, CRYOSPHERE, V9, P737, DOI 10.5194/tc-9-737-2015
   Fuchs M, 2020, FRONT EARTH SC-SWITZ, V8, DOI 10.3389/feart.2020.00336
   Gagarin L, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12040692
   Gatto L.W., 1984, TANANA RIVER MONITOR, V53, P84
   Gautier E, 2021, SCI TOTAL ENVIRON, V783, DOI 10.1016/j.scitotenv.2021.147020
   Gioia G, 2002, PHYS REV LETT, V88, DOI 10.1103/PhysRevLett.88.014501
   Godin E, 2016, THESIS U MONTREAL
   Godin E., 2010, P GEO 2010 CALG 63 C, DOI [10.13140/2.1.4498.9120, DOI 10.13140/2.1.4498.9120]
   Godin E, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/10/105010
   Godin E, 2012, CAN J EARTH SCI, V49, P979, DOI 10.1139/E2012-015
   Goudie AS, 2006, GEOMORPHOLOGY, V79, P384, DOI 10.1016/j.geomorph.2006.06.023
   Gubarkov A, 2014, ENVIRON SCI ENG, P291, DOI 10.1007/978-3-319-00867-7_21
   Guo DL, 2017, J GEOPHYS RES-ATMOS, V122, P12285, DOI 10.1002/2017JD027691
   Gurevich EV, 2009, RUSS METEOROL HYDROL, V34, P628, DOI 10.3103/S1068373909090088
   HALL K, 1997, POLAR GEOGRAPHY, V21, P1, DOI DOI 10.1080/10889379709377613
   Hall K, 2011, GEOMORPHOLOGY, V130, P83, DOI 10.1016/j.geomorph.2010.10.003
   Harrison S, 2019, CLIMATIC CHANGE, V156, P69, DOI 10.1007/s10584-019-02520-8
   HASTINGS SJ, 1989, HOLARCTIC ECOL, V12, P304
   Henry HAL, 2008, CLIMATIC CHANGE, V87, P421, DOI 10.1007/s10584-007-9322-8
   Hinzman AM, 2020, HYDROL PROCESS, V34, P3894, DOI 10.1002/hyp.13860
   Huisink M, 2002, EARTH SURF PROC LAND, V27, P1223, DOI 10.1002/esp.422
   Isaev V.S., 2019, PERMAFR PERIGLAC
   Istomin KV, 2016, POLAR SCI, V10, P278, DOI 10.1016/j.polar.2016.07.002
   Janowicz JR, 2011, IAHS-AISH P, V346, P9
   Jones B.M., 2013, 20131161 USGS, DOI [10.3133/ofr20131161, DOI 10.3133/OFR20131161]
   Jorgenson JC, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10081305
   Juhls B, 2021, FRONT EARTH SC-SWITZ, V9, DOI 10.3389/feart.2021.689941
   Kane DL, 2013, HYDROGEOL J, V21, P41, DOI 10.1007/s10040-012-0937-0
   Kanevskiy M, 2017, GEOMORPHOLOGY, V297, P20, DOI 10.1016/j.geomorph.2017.09.001
   Kanevskiy M, 2016, GEOMORPHOLOGY, V253, P370, DOI 10.1016/j.geomorph.2015.10.023
   Katasonova EG, 1963, USLOVIYA OSOBENNOSTI, P91
   KELLERHALS R, 1980, WATER RESOUR RES, V16, P1131, DOI 10.1029/WR016i006p01131
   Kendall KA, 1999, J HYDROL, V219, P188, DOI 10.1016/S0022-1694(99)00059-1
   Keskitalo KH, 2021, FRONT EARTH SC-SWITZ, V9, DOI 10.3389/feart.2021.642675
   KEVAN PG, 1995, J APPL ECOL, V32, P655, DOI 10.2307/2404660
   [Кизяков А.И. Kizyakov A.I.], 2016, [Криосфера Земли, Kriosfera Zemli], VXX, P45, DOI 10.21782/KZ1560-7496-2016-4(45-58)
   Kjelstrup S, 2021, ACTA GEOTECH, V16, P2231, DOI 10.1007/s11440-021-01158-0
   Knack I, 2015, INT J SEDIMENT RES, V30, P63, DOI 10.1016/S1001-6279(15)60006-3
   Knight J, 2012, AMBIO, V41, P206, DOI 10.1007/s13280-011-0178-9
   Koch JC, 2013, HYDROGEOL J, V21, P93, DOI 10.1007/s10040-012-0934-3
   Kokelj SV, 2015, GLOBAL PLANET CHANGE, V129, P56, DOI 10.1016/j.gloplacha.2015.02.008
   Kokelj SV, 2013, J GEOPHYS RES-EARTH, V118, P681, DOI 10.1002/jgrf.20063
   Kokelj S.V., 1998, Permafrost - Seventh International Conference (Proceedings), Yellowknife (Canada), Collection Nordicana, V55, P583
   Kokelj SV., 2020, PREPRINT, DOI DOI 10.5194/TC-2020-218
   Konishchev V. N., 1993, Permafrost and Periglacial Processes, V4, P49, DOI 10.1002/ppp.3430040105
   Krogh SA, 2018, HYDROL EARTH SYST SC, V22, P3993, DOI 10.5194/hess-22-3993-2018
   Kumpula T, 2011, GLOBAL ENVIRON CHANG, V21, P550, DOI 10.1016/j.gloenvcha.2010.12.010
   Kusunoki S, 2015, POLAR SCI, V9, P277, DOI 10.1016/j.polar.2015.08.001
   Lafrenière MJ, 2019, EARTH-SCI REV, V191, P212, DOI 10.1016/j.earscirev.2019.02.018
   Lamontagne-Hallé P, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aad404
   Lamoureux SF, 2009, ARCT ANTARCT ALP RES, V41, P59, DOI [10.1657/1523-0430-41.1.59, 10.1657/1938-4246(08-030)[LAMOUREUX]2.0.CO;2]
   Lane SN, 2013, EARTH SURF PROC LAND, V38, P106, DOI 10.1002/esp.3362
   Lantz TC, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2007GL032433
   Lauzon R, 2019, GEOPHYS RES LETT, V46, P6574, DOI 10.1029/2019GL082792
   Lawson D.E, 1983, 8329 CRREL
   Lebedeva L.S., 2019, EARTHS CRYOSPHERE, V1, P35, DOI 10.21782/ EC2541-9994-2019-1(35-44)
   Leopold L.B., 1995, Fluvial Processes in Geomorphology, P544
   Lewkowicz AG, 2005, PERMAFROST PERIGLAC, V16, P115, DOI 10.1002/ppp.522
   Lewkowicz AG., 1990, PERMAFROST CANADA P, P111
   Lewkowicz AG, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09314-7
   Li GJ, 2022, SCI TOTAL ENVIRON, V804, DOI 10.1016/j.scitotenv.2021.150182
   Liljedahl AK, 2016, NAT GEOSCI, V9, P312, DOI [10.1038/NGEO2674, 10.1038/ngeo2674]
   Lim M, 2020, FRONT EARTH SC-SWITZ, V8, DOI 10.3389/feart.2020.561322
   Linhardt T, 2019, CRYOSPHERE, V13, P2203, DOI 10.5194/tc-13-2203-2019
   Lininger KB, 2019, EARTH-SCI REV, V193, P24, DOI 10.1016/j.earscirev.2019.02.024
   Linnel K.A., 1966, 150 CRREL
   Lipovsky P., 2007, Yukon Exploration and Geology 2006, P181
   Liu BL, 2015, GEOMORPHOLOGY, V231, P246, DOI 10.1016/j.geomorph.2014.12.011
   Liu J, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac0acc
   Lotsari E, 2020, WATER-SUI, V12, DOI 10.3390/w12071874
   Lotsari E, 2019, EARTH SURF PROC LAND, V44, P1509, DOI 10.1002/esp.4589
   Lotsari E, 2017, EARTH SURF PROC LAND, V42, P1195, DOI 10.1002/esp.4089
   Lotsari E, 2015, PROG PHYS GEOG, V39, P483, DOI 10.1177/0309133315578944
   Lu Q, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-04140-7
   Ma Q, 2019, ADV CLIM CHANG RES, V10, P225, DOI 10.1016/j.accre.2020.02.001
   Ma R, 2021, J GEOPHYS RES-ATMOS, V126, DOI 10.1029/2020JD033689
   Macklin MG, 2012, PHILOS T R SOC A, V370, P2143, DOI 10.1098/rsta.2011.0608
   Makarieva O, 2019, CRYOSPHERE, V13, P1635, DOI 10.5194/tc-13-1635-2019
   Mann DH, 2010, QUATERNARY SCI REV, V29, P3812, DOI 10.1016/j.quascirev.2010.09.002
   Mann PJ, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms8856
   Marks JC, 2006, GEOMORPHOLOGY, V77, P299, DOI 10.1016/j.geomorph.2006.01.008
   Matsuoka N, 2008, PERMAFROST PERIGLAC, V19, P195, DOI 10.1002/ppp.620
   McClelland J.W., 2016, GLOBAL BIOGEOCHEM CY
   McNamara JP, 2009, HYDROL PROCESS, V23, P159, DOI 10.1002/hyp.7199
   McNamara JP, 1999, GEOMORPHOLOGY, V29, P339, DOI 10.1016/S0169-555X(99)00017-3
   [Михайлов В.М. Mikhailov V.M.], 2011, [Геоморфология, Geomorfologiya], P11
   Miller BA, 2020, EARTH-SCI REV, V209, DOI 10.1016/j.earscirev.2020.103316
   Miner KR, 2021, NAT CLIM CHANGE, V11, P809, DOI 10.1038/s41558-021-01162-y
   Molchanov A.K, 1972, ISSLEDOVANIYA ZAVISI
   Morgenstern A, 2021, PERMAFROST PERIGLAC, V32, P59, DOI 10.1002/ppp.2087
   Morse PD, 2015, J GEOPHYS RES-EARTH, V120, P1670, DOI 10.1002/2015JF003534
   Nitzbon J, 2021, CRYOSPHERE, V15, P1399, DOI 10.5194/tc-15-1399-2021
   Nitzbon J, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15725-8
   Nitze I, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07663-3
   O'Connor MT, 2019, WATER RESOUR RES, V55, P6555, DOI 10.1029/2018WR024636
   O'Neill HB, 2020, PERMAFROST PERIGLAC, V31, P346, DOI 10.1002/ppp.2050
   Oliva M, 2018, CURR OPIN ENV SCI HL, V5, P14, DOI 10.1016/j.coesh.2018.03.007
   ORTON GJ, 1993, SEDIMENTOLOGY, V40, P475, DOI 10.1111/j.1365-3091.1993.tb01347.x
   Osterkamp WR, 2012, EARTH SURF PROC LAND, V37, P23, DOI 10.1002/esp.2173
   Owens PN, 2020, J SOIL SEDIMENT, V20, P4115, DOI 10.1007/s11368-020-02815-9
   Paquette M, 2018, HYDROL PROCESS, V32, P1077, DOI 10.1002/hyp.11483
   Paquette M, 2017, ARCT SCI, V3, P334, DOI 10.1139/as-2016-0014
   Park H, 2017, J HYDROMETEOROL, V18, P1983, DOI [10.1175/JHM-D-16-0260.1, 10.1175/jhm-d-16-0260.1]
   Park H, 2016, J CLIMATE, V29, P1733, DOI 10.1175/JCLI-D-15-0569.1
   PATTON PC, 1975, GEOLOGY, V3, P88, DOI 10.1130/0091-7613(1975)3<88:GENCAT>2.0.CO;2
   Pavelsky TM, 2017, GEOPHYS RES LETT, V44, P3228, DOI 10.1002/2016GL072397
   Payette S, 2000, ARCT ANTARCT ALP RES, V32, P316, DOI 10.2307/1552530
   Payne C, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10030397
   Peng XQ, 2016, J GEOPHYS RES-EARTH, V121, P1984, DOI 10.1002/2016JF003876
   Piegay H., 2016, Tools in Flu vial Geo mor phol ogy, P77, DOI [10.1002/9781118648551.ch5, DOI 10.1002/9781118648551.CH5]
   Piliouras A, 2021, J GEOPHYS RES-EARTH, V126, DOI 10.1029/2020JF005706
   Piliouras A, 2020, J GEOPHYS RES-EARTH, V125, DOI 10.1029/2019JF005250
   Pinkovskiy S.I., 1965, T GGI, V120, P77
   Polonsky VF, 1996, J HYDRAUL ENG-ASCE, V122, P333, DOI 10.1061/(ASCE)0733-9429(1996)122:6(333)
   Poznanin V.L., 1995, THESIS MOSCOW STATE
   Priesnitz K, 2002, PERMAFROST PERIGLAC, V13, P207, DOI 10.1002/ppp.424
   Pringle CM, 1997, J N AM BENTHOL SOC, V16, P425, DOI 10.2307/1468028
   Randriamazaoro R, 2007, EARTH SURF PROC LAND, V32, P1828, DOI 10.1002/esp.1489
   Rawlins MA, 2019, CRYOSPHERE, V13, P3337, DOI 10.5194/tc-13-3337-2019
   Raymond PA, 2007, GLOBAL BIOGEOCHEM CY, V21, DOI 10.1029/2007GB002934
   Richards K, 2002, FRESHWATER BIOL, V47, P559, DOI 10.1046/j.1365-2427.2002.00920.x
   Rogger M, 2017, WATER RESOUR RES, V53, P1288, DOI 10.1002/2016WR019341
   Rowland J.C., 2010, EOS Transactions American Geophysical Union, V91, P229, DOI DOI 10.1029/2010EO260001
   Rudy ACA, 2017, GEOPHYS RES LETT, V44, P11080, DOI 10.1002/2017GL074912
   Saito H, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10101579
   Schramm I, 2007, J GEOPHYS RES-BIOGEO, V112, DOI 10.1029/2006JG000326
   Schwab MS, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL088823
   Scott K.M, 1978, 1068 USGS, DOI [10.3133/pp1068, DOI 10.3133/PP1068]
   Séjourné A, 2015, GEOMORPHOLOGY, V241, P31, DOI 10.1016/j.geomorph.2015.03.033
   Serreze MC, 2011, GLOBAL PLANET CHANGE, V77, P85, DOI 10.1016/j.gloplacha.2011.03.004
   Shepelev V.V., 2009, GEOGR NAT RESOURC, V30, P151, DOI [10.1016/j.gnr.2009.06.011, DOI 10.1016/J.GNR.2009.06.011]
   Shiklomanov AI, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/3/035008
   Shiklomanov AI, 2007, J GEOPHYS RES-BIOGEO, V112, DOI 10.1029/2006JG000352
   Shumilov Yu, 1986, KONTINENTALNY LITOGE
   Shur Y., 1998, P 7 INT C PERMAFROST, P993
   Shur YL, 2007, PERMAFROST PERIGLAC, V18, P7, DOI 10.1002/ppp.582
   Shur Y.L., PERMAFR PERIGLAC PRO, V32, P277, DOI 10.1002/
   Sidorchuk A., 1998, MODELLING SOIL EROSI, V249, P333
   Sidorchuk A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12010260
   Sjöberg Y, 2021, WATER RESOUR RES, V57, DOI 10.1029/2020WR027463
   Sjöberg Y, 2013, HYDROGEOL J, V21, P121, DOI 10.1007/s10040-012-0932-5
   Slaymaker O, 2021, GEOMORPHOLOGY, V384, DOI 10.1016/j.geomorph.2021.107723
   Sonke JE, 2018, P NATL ACAD SCI USA, V115, pE11586, DOI 10.1073/pnas.1811957115
   St Jacques JM, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2008GL035822
   Stephani E, 2020, PERMAFROST PERIGLAC, V31, P239, DOI 10.1002/ppp.2046
   Stettner S, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10010051
   Stieglitz M, 2003, GLOBAL BIOGEOCHEM CY, V17, DOI 10.1029/2003GB002041
   Stogniy V.V, 2003, IMPULSNAYA INDUKTIVN
   Streletskiy DA, 2012, POLAR GEOGR, V35, P95, DOI 10.1080/1088937X.2012.680204
   Streletskiy DA, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/9/095003
   Sukhodrovsky V.E, 1979, KRIOGENNOYE RELYEFOO
   Summerfield MA, 2005, T I BRIT GEOGR, V30, P402, DOI 10.1111/j.1475-5661.2005.00182.x
   Suzuki K, 2016, INT J REMOTE SENS, V37, P2198, DOI 10.1080/01431161.2016.1165890
   Tananaev NI, 2019, HYDROL RES, V50, P1440, DOI 10.2166/nh.2019.062
   [Тананаев Н.И. Tananaev N.I.], 2018, [Известия Российской академии наук. Серия географическая, Izvestiya Rossiiskoi akademii nauk. Seriya geograficheskaya], P46, DOI 10.1134/S258755661805014X
   Tananaev NI, 2016, GEOPHYS RES LETT, V43, P10764, DOI 10.1002/2016GL070796
   Tananaev N.I., 2007, THESIS MOSCOW STATE
   Tananaev N, 2021, HYDROLOGY-BASEL, V8, DOI 10.3390/hydrology8030106
   Tananaev N, 2020, HYDROLOGY-BASEL, V7, DOI 10.3390/hydrology7010006
   Tananaev NI, 2016, GEOMORPHOLOGY, V253, P524, DOI 10.1016/j.geomorph.2015.11.009
   Tananaev NI, 2013, IAHS-AISH P, V360, P161
   [Тарбеева А.М. Tarbeeva A.M.], 2021, [Геоморфология, Geomorfologiya, Geomorfologiya], V52, P109, DOI 10.31857/S0435428121010132
   Tei S, 2020, HYDROL PROCESS, V34, P522, DOI 10.1002/hyp.13601
   Thorn CE, 2002, PROG PHYS GEOG, V26, P533, DOI 10.1191/0309133302pp351ra
   Tolstov A.N., 1966, MATERIALY 8 MEZHDUVE, P135
   Trimble SW, 2012, PHILOS T R SOC A, V370, P2075, DOI 10.1098/rsta.2011.0606
   Trochim ED, 2016, EARTH SPACE SCI, V3, P123, DOI 10.1002/2015EA000111
   Trochim ED, 2016, EARTH SPACE SCI, V3, P106, DOI 10.1002/2015EA000112
   Turcotte B, 2011, J HYDROL, V409, P561, DOI 10.1016/j.jhydrol.2011.08.009
   Turetsky MR, 2020, NAT GEOSCI, V13, P138, DOI 10.1038/s41561-019-0526-0
   Ushakov MV, 2020, RUSS METEOROL HYDRO+, V45, P858, DOI 10.3103/S1068373920120067
   Valentin C, 2005, CATENA, V63, P132, DOI 10.1016/j.catena.2005.06.001
   van Huissteden J., 2020, Thawing Permafrost: Permafrost Carbon in a Warming Arctic, DOI DOI 10.1007/978-3-030-31379-1
   van Vliet MTH, 2013, GLOBAL ENVIRON CHANG, V23, P450, DOI 10.1016/j.gloenvcha.2012.11.002
   Vandenberghe J, 2008, GEOMORPHOLOGY, V98, P275, DOI 10.1016/j.geomorph.2006.12.030
   Vandenberghe J, 2003, QUATERNARY SCI REV, V22, P2053, DOI 10.1016/S0277-3791(03)00213-0
   Veillette A., 2019, THESIS U MONTREAL
   Velicogna I, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL051623
   Ventra D, 2018, GEOL SOC SPEC PUBL, V440, P1, DOI 10.1144/SP440.16
   Visconti F, 2010, J GEOPHYS RES-EARTH, V115, DOI 10.1029/2010JF001742
   Walker HJ, 2003, GEOMORPHOLOGY, V56, P291, DOI 10.1016/S0169-555X(03)00157-0
   WALKER J, 1987, GEOGR ANN A, V69, P61, DOI 10.2307/521367
   Walvoord MA, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/aaf0cc
   Walvoord MA, 2016, VADOSE ZONE J, V15, DOI 10.2136/vzj2016.01.0010
   Walvoord MA, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011595
   Wang CH, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-39942-4
   Wang XQ, 2017, WATER-SUI, V9, DOI 10.3390/w9110897
   WANKIEWICZ A, 1984, WATER RESOUR RES, V20, P1417, DOI 10.1029/WR020i010p01417
   Watson V, 2013, J HYDROL, V489, P214, DOI 10.1016/j.jhydrol.2013.03.011
   Weckwerth P, 2015, GEOGR ANN A, V97, P415, DOI 10.1111/geoa.12082
   Wild B, 2019, P NATL ACAD SCI USA, V116, P10280, DOI 10.1073/pnas.1811797116
   WOLMAN MG, 1960, J GEOL, V68, P54, DOI 10.1086/626637
   Woo M.K., 2012, PERMAFROST HYDROLOGY
   Woo MK, 2019, HYDROL PROCESS, V33, P3407, DOI 10.1002/hyp.13581
   WOO MK, 1983, CAN J EARTH SCI, V20, P978, DOI 10.1139/e83-087
   Yang DQ, 2015, QUATERN INT, V380, P159, DOI 10.1016/j.quaint.2014.09.023
   Yershov E. D., 1990, General geocryology, DOI DOI 10.1017/CBO9780511564505
   Yi WX, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac0f27
   Yokohata T, 2020, PROG EARTH PLANET SC, V7, DOI 10.1186/s40645-020-00380-w
   [ЗАЙЦЕВ А.А. Zaitsev A.A.], 2008, [Геоморфология, Geomorfologiya], P25
   Zernov A.V., 1987, THESIS LENINGRAD I W
   Zheng L, 2019, J GEOPHYS RES-EARTH, V124, P2324, DOI 10.1029/2019JF005060
NR 269
TC 26
Z9 26
U1 4
U2 64
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0012-8252
EI 1872-6828
J9 EARTH-SCI REV
JI Earth-Sci. Rev.
PD MAY
PY 2022
VL 228
AR 103996
DI 10.1016/j.earscirev.2022.103996
EA MAR 2022
PG 20
WC Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology
GA 1C1RC
UT WOS:000792904000001
DA 2025-01-10
ER

PT J
AU Casas, L
   Cox, B
   Nemery, B
   Deboosere, P
   Nawrot, TS
AF Casas, Lidia
   Cox, Bianca
   Nemery, Benoit
   Deboosere, Patrick
   Nawrot, Tim S.
TI High temperatures trigger suicide mortality in Brussels, Belgium: A
   case-crossover study (2002-2011)
SO ENVIRONMENTAL RESEARCH
LA English
DT Article
DE Temperature; Suicide mortality; Case-crossover study; Environmental
   epidemiology
ID AIR-POLLUTION; AMBIENT-TEMPERATURE
AB Background: Temperature may trigger the risk of suicide, however, the extent and shape of the associations show geographical variation. Here, we investigate the short-term effects of temperature on suicide deaths occurring in Brussels between January 1st, 2002 and December 31st, 2011. Methods: We conducted a bidirectional time-stratified case-crossover study with cases being suicide deaths occurring among Brussels residents aged 5 years or older. Cases were matched by day of the week with control days from the same month and year. The exposure was the daily average temperature measured at the Uccle station (Brussels) and obtained from the Belgian Royal Meteorological Institute. We combined conditional logistic regression with distributed lag non-linear models (DLNM) to obtain one week (lag 0-6) cumulative risk ratios (RR) and their 95% confidence intervals (CI) for the effects of moderate and extreme cold (5th and 1st percentiles of temperature, respectively) and moderate and extreme heat (95th and 99th percentiles of temperature, respectively), relative to the median temperature. Results: In total, 1891 suicide deaths were included. The median temperature was 11.6 degrees C, moderate and extreme cold temperatures were 0 and -3.1 degrees C, respectively, and moderate and extreme high temperatures were 20.9 and 24.4 degrees C, respectively. The cumulative risk of suicide mortality was almost twice higher among lags 0 to 6 for both moderate and extreme heat, relative to the period median temperature (e.g. moderate heat RR = 1.80 CI:1.27-2.54). No statistically significant associations were observed for cold temperatures. Conclusions: In Brussels, a western European city with temperate climate, high temperatures may trigger suicide deaths up to one week later. In the context of climate change, adaptation strategies must take into consideration the effects of temperature on mental health.
C1 [Casas, Lidia] Univ Antwerp, Dept Family Med & Populat Hlth, Social Epidemiol & Hlth Policy, Doornstr 331, B-2610 Antwerp, Belgium.
   [Casas, Lidia] Univ Antwerp, Inst Environm & Sustainable Dev IMDO, Antwerp, Belgium.
   [Cox, Bianca; Nawrot, Tim S.] Hasselt Univ, Ctr Environm Sci, Agoralaan Gebouw D, B-3590 Diepenbeek, Belgium.
   [Nemery, Benoit; Nawrot, Tim S.] Katholieke Univ Leuven, Ctr Environm & Hlth, Dept Publ Hlth & Primary Care, Herestr 49, Leuven, Belgium.
   [Deboosere, Patrick] Vrije Univ Brussel, Sociol Dept, Interface Demog, Pl Laan 2, B-1050 Brussels, Belgium.
C3 University of Antwerp; University of Antwerp; Hasselt University; KU
   Leuven; Vrije Universiteit Brussel
RP Casas, L (corresponding author), Univ Antwerp, Dept Family Med & Populat Hlth, Social Epidemiol & Hlth Policy, Doornstr 331, B-2610 Antwerp, Belgium.
EM Lidia.casasruiz@uantwerpen.be
RI Nemery, Benoit/N-3155-2019; Deboosere, Patrick/C-1113-2014; Odili,
   Augustine/O-2612-2019; Cox, Bianca/A-9480-2015
OI Cox, Bianca/0000-0001-9824-6276; Deboosere, Patrick/0000-0002-8148-3694;
   Casas, Lidia/0000-0003-1820-8742; Nemery, Benoit/0000-0003-0571-4689;
   Nawrot, Tim/0000-0002-3583-3593
FU Research Foundation Flanders (FWO) [12I1517N, 12Q0517N]
FX Lidia Casas and Bianca Cox are recipients of post-doctoral fellow-ships
   of the Research Foundation Flanders (FWO) , grant numbers 12I1517N and
   12Q0517N, respectively.
CR Aguglia A, 2021, FRONT PSYCHIATRY, V12, DOI 10.3389/fpsyt.2021.653390
   Ajdacic-Gross V, 2007, AM J EPIDEMIOL, V165, P561, DOI 10.1093/aje/kwk034
   Bando DH, 2017, REV BRAS PSIQUIATR, V39, P220, DOI 10.1590/1516-4446-2016-2057
   Belfer ML, 2008, J CHILD PSYCHOL PSYC, V49, P226, DOI 10.1111/j.1469-7610.2007.01855.x
   Burke M, 2018, NAT CLIM CHANGE, V8, P723, DOI 10.1038/s41558-018-0222-x
   Casas L, 2017, EUR J EPIDEMIOL, V32, P973, DOI 10.1007/s10654-017-0273-8
   Cox B, 2016, J EPIDEMIOL COMMUN H, V70, P1191, DOI 10.1136/jech-2015-206384
   Cox B, 2016, EPIDEMIOLOGY, V27, P779, DOI 10.1097/EDE.0000000000000545
   Dixon PG, 2018, INT J BIOMETEOROL, V62, P685, DOI 10.1007/s00484-016-1265-1
   Gasparrini A, 2010, STAT MED, V29, P2224, DOI 10.1002/sim.3940
   Gasparrini A, 2011, J STAT SOFTW, V43, P1, DOI 10.18637/jss.v043.i08
   Janes H, 2005, STAT MED, V24, P285, DOI 10.1002/sim.1889
   Janssen S, 2008, ATMOS ENVIRON, V42, P4884, DOI 10.1016/j.atmosenv.2008.02.043
   Kim C, 2010, AM J PSYCHIAT, V167, P1100, DOI 10.1176/appi.ajp.2010.09050706
   Kim Y, 2019, ENVIRON HEALTH PERSP, V127, DOI 10.1289/EHP4898
   Kim Y, 2016, ENVIRON HEALTH PERSP, V124, P75, DOI 10.1289/ehp.1409392
   Kubo R, 2021, SCI TOTAL ENVIRON, V774, DOI 10.1016/j.scitotenv.2021.145511
   Lee JY, 2019, ENVIRON INT, V131, DOI 10.1016/j.envint.2019.105027
   Likhvar Victoria, 2011, Environmental Health and Preventive Medicine, V16, P36, DOI 10.1007/s12199-010-0163-0
   MAES M, 1995, ARCH GEN PSYCHIAT, V52, P937
   Martens DS, 2019, ENVIRON HEALTH PERSP, V127, DOI 10.1289/EHP5153
   MASSING W, 1985, SOC SCI MED, V21, P433, DOI 10.1016/0277-9536(85)90223-0
   Mcintosh J.L., 2002, Archives of Suicide Research, V6, P41
   Ohberg A, 1998, ACTA PSYCHIAT SCAND, V98, P214, DOI 10.1111/j.1600-0447.1998.tb10069.x
   Page LA, 2007, BRIT J PSYCHIAT, V191, P106, DOI 10.1192/bjp.bp.106.031948
   Parks RM, 2020, NAT MED, V26, P65, DOI 10.1038/s41591-019-0721-y
   Santurtún A, 2020, SOC SCI MED, V265, DOI 10.1016/j.socscimed.2020.113411
   Schneider A, 2020, SCI TOTAL ENVIRON, V707, DOI 10.1016/j.scitotenv.2019.136053
   Sim K, 2020, ENVIRON INT, V142, DOI 10.1016/j.envint.2020.105829
   Szyszkowicz M, 2010, ENVIRON HEALTH INSIG, V4, P79, DOI 10.4137/EHI.S5662
   Vandenheede H, 2015, TROP MED INT HEALTH, V20, P1832, DOI 10.1111/tmi.12610
   World Health Organization, 2014, Preventing Suicide: A Global Imperative
   Yu J, 2020, EPIDEMIOL PSYCH SCI, V29, DOI 10.1017/S2045796020000748
NR 33
TC 16
Z9 16
U1 2
U2 18
PU ACADEMIC PRESS INC ELSEVIER SCIENCE
PI SAN DIEGO
PA 525 B ST, STE 1900, SAN DIEGO, CA 92101-4495 USA
SN 0013-9351
EI 1096-0953
J9 ENVIRON RES
JI Environ. Res.
PD MAY 1
PY 2022
VL 207
AR 112159
DI 10.1016/j.envres.2021.112159
EA JAN 2022
PG 5
WC Environmental Sciences; Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health
GA YU2WU
UT WOS:000751908800003
PM 34606845
OA Green Published
DA 2025-01-10
ER

PT J
AU Fuchs, JM
   Hittenbeck, A
   Brandl, S
   Schmidt, M
   Paul, C
AF Fuchs, Jasper M.
   Hittenbeck, Anika
   Brandl, Susanne
   Schmidt, Matthias
   Paul, Carola
TI Adaptation strategies for spruce forests-economic potential of bark
   beetle management and Douglas fir cultivation in future tree species
   portfolios
SO FORESTRY
LA English
DT Article
ID IPS-TYPOGRAPHUS L.; NORWAY SPRUCE; EUROPEAN BEECH; CLIMATE-CHANGE;
   IMPACT; RISK; CONSEQUENCES; INFESTATION; UNCERTAINTY; SURVIVAL
AB Productive Norway spruce forests in mountainous growing areas are expected to be affected by increasing climate-driven disturbances, which will most likely result in a reduction of their economic performance. This study seeks to compare the potential of currently discussed management options aiming to maintain the economic performance on typical sites of spruce under a changing climate. For this purpose, we used a combined approach of tree mortality simulation and portfolio optimization to assess the management options: (1) including a deciduous species, (2) establishing mixed stands, (3) shortening the rotation periods, (4) forest protection measures focusing on bark beetles and (5) introducing another highly productive species. As a novel feature, we also compared the effect of combined management strategies on the return and risk of stand management. In our simulation and optimization approach, the inclusion of an alternative, highly productive tree species, such as Douglas fir, into the tree species portfolio outcompeted the forest protection measure of intensive bark beetle monitoring with timely sanitation fellings in terms of balancing risks and returns. The adaptation gain of introducing Douglas fir was further enhanced when combined with additional management options such as adapted rotation periods. The resulting synergies were able to overcompensate for the adverse economic effects of climate change. On the contrary, including beech did not only reduce the risks but also the return in a magnitude which was clearly outcompeted by Douglas fir, even with the assumption of high mortality risks for Douglas fir. These results prove the importance of a proactive tree species selection in relation to more reactive forest protection measures for climate change adaptation. They also advise a careful consideration of expected market demands when selecting an additional species for the portfolio.
C1 [Fuchs, Jasper M.; Paul, Carola] Georg August Univ Gottingen, Dept Forest Econ & Sustainable Land Use Planning, Busgenweg 1, D-37077 Gottingen, Germany.
   [Hittenbeck, Anika; Schmidt, Matthias] Northwest German Forest Res Inst, Dept Forest Growth, Gratzelstr 2, D-37079 Gottingen, Germany.
   [Brandl, Susanne] Bavarian State Inst Forestry, Hans Carl Von Carlowitz Pl 1, D-85354 Freising Weihenstephan, Germany.
   [Paul, Carola] Ctr Biodivers & Sustainable Land Use, Busgenweg 1, D-37077 Gottingen, Germany.
C3 University of Gottingen
RP Fuchs, JM (corresponding author), Georg August Univ Gottingen, Dept Forest Econ & Sustainable Land Use Planning, Busgenweg 1, D-37077 Gottingen, Germany.
EM jasper.fuchs@uni-goettingen.de
RI Paul, Carola/I-6711-2019; Fuchs, Jasper M./AEF-9802-2022
OI Paul, Carola/0000-0002-6257-2026; Fuchs, Jasper M./0000-0001-5951-7897
FU University of Gottingen; Graduate School Forest and Agricultural
   Sciences Gottingen; Research Training Group RTG2300 (German Research
   Foundation); Federal Ministry of Food and Agriculture of Germany
   (Waldklimafonds Project SURVIVAL-KW) [FKZ: 28W-C-4-088]; Hessian
   Ministry of the Environment, Climate Protection, Agriculture and
   Consumer Protection (Integrierter Klimaschutzplan Hessen 2025) [L-12]
FX This work is part of a PhD project by J.F., currently financed by the
   University of Gottingen and supported by the Graduate School Forest and
   Agricultural Sciences Gottingen as well as the Research Training Group
   RTG2300 (funded by the German Research Foundation). Updated survival
   time analysis was further supported by the Federal Ministry of Food and
   Agriculture of Germany (Waldklimafonds Project SURVIVAL-KW [FKZ:
   28W-C-4-088]). The empiric bark beetle modelingwas partially funded by
   the Hessian Ministry of the Environment, Climate Protection, Agriculture
   and Consumer Protection (Integrierter Klimaschutzplan Hessen 2025,
   Project [L-12]).
CR Abdullah H, 2019, REMOTE SENS ECOL CON, V5, P87, DOI 10.1002/rse2.93
   Abdullah H, 2018, INT J APPL EARTH OBS, V64, P199, DOI 10.1016/j.jag.2017.09.009
   Adams Damian C., 2020, Journal of Bioeconomics, V22, P33, DOI 10.1007/s10818-019-09289-x
   Albrecht A, 2012, EUR J FOREST RES, V131, P229, DOI 10.1007/s10342-010-0432-x
   [Anonymous], 2012, ARCH FORSTWESEN LAND
   [Anonymous], 2005, SMALL SCALE EC MANAG, DOI DOI 10.1007/S11842-005-0001-1
   Baier P, 2007, FOREST ECOL MANAG, V249, P171, DOI 10.1016/j.foreco.2007.05.020
   BARE BB, 1987, FOREST SCI, V33, P958
   Beinhofer B., 2010, Forstarchiv, V81, P255
   Brandl S, 2020, FOREST ECOL MANAG, V458, DOI 10.1016/j.foreco.2019.117652
   Brèteau-Amores S, 2019, ECOL ECON, V164, DOI 10.1016/j.ecolecon.2019.04.006
   Brunette M., 2014, WORKING PAPERS CAHIE
   Brunette M, 2017, ENVIRON MODEL ASSESS, V22, P563, DOI 10.1007/s10666-017-9570-6
   Christensen P, 2018, P NATL ACAD SCI USA, V115, P5409, DOI 10.1073/pnas.1713628115
   Clasen C, 2011, FOREST POLICY ECON, V13, P503, DOI 10.1016/j.forpol.2011.05.005
   Derks J., 2019, DOUGLAS FIR AN OPTIO, P105
   Dieter M, 2001, FOREST POLICY ECON, V2, P157, DOI 10.1016/S1389-9341(01)00045-4
   Dobor L, 2020, J ENVIRON MANAGE, V254, DOI 10.1016/j.jenvman.2019.109792
   Dobor L, 2020, J APPL ECOL, V57, P67, DOI 10.1111/1365-2664.13518
   Donis J, 2018, SILVA FENN, V52, DOI 10.14214/sf.10009
   Dragicevic A, 2016, FOREST POLICY ECON, V64, P25, DOI 10.1016/j.forpol.2015.12.010
   Ekholm T, 2020, FOREST POLICY ECON, V115, DOI 10.1016/j.forpol.2020.102131
   Faccoli M, 2004, J APPL ENTOMOL, V128, P307, DOI 10.1111/j.1439-0418.2004.00848.x
   Faustmann Martin., 1849, Allgemeine Fotst-und Jagd-Zeitung, V25, P441
   Ferreira L, 2016, CAN J FOREST RES, V46, P1000, DOI 10.1139/cjfr-2015-0329
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Friedrich S, 2019, FOREST POLICY ECON, V104, P65, DOI 10.1016/j.forpol.2019.04.003
   Griess VC, 2013, EUR J FOREST RES, V132, P511, DOI 10.1007/s10342-013-0692-3
   Hausfather Z, 2020, NATURE, V577, P618, DOI 10.1038/d41586-020-00177-3
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hildebrandt P, 2011, FOREST POLICY ECON, V13, P1, DOI 10.1016/j.forpol.2010.09.001
   Hlasny T., 2019, SCI POLICY EUROPEAN, V8
   Hoffmann N, 2018, AGR FOREST METEOROL, V256, P431, DOI 10.1016/j.agrformet.2018.03.008
   Ivantsova E.D., 2019, J SIB FED U HUMANIT, V12, P627, DOI [DOI 10.17516/1997, 10.17516/1997-1370-0417]
   Jönsson AM, 2015, MITIG ADAPT STRAT GL, V20, P201, DOI 10.1007/s11027-013-9487-6
   Jönsson AM, 2012, AGR FOREST METEOROL, V166, P188, DOI 10.1016/j.agrformet.2012.07.012
   Jorion P., 2007, VALUE RISK NEW BENCH
   Klopcic M, 2009, ECOSCIENCE, V16, P48, DOI 10.2980/16-1-3181
   Kloucek T, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11131561
   Knoke T, 2005, FOREST ECOL MANAG, V213, P102, DOI 10.1016/j.foreco.2005.03.043
   Knoke T, 2008, ECOL MODEL, V210, P487, DOI 10.1016/j.ecolmodel.2007.08.011
   Knoke T, 2020, FOREST POLICY ECON, V118, DOI 10.1016/j.forpol.2020.102239
   Knoke T, 2017, CURR FOR REP, V3, P93, DOI 10.1007/s40725-017-0054-3
   Kolling C., 2009, Forstarchiv, V80, P42
   Kolo H, 2020, ECOSYST SERV, V44, DOI 10.1016/j.ecoser.2020.101147
   Lodin I, 2017, FOREST POLICY ECON, V83, P191, DOI 10.1016/j.forpol.2016.11.010
   Loeffler D, 2018, FOREST PROD J, V68, P15, DOI 10.13073/FPJ-D-17-00041
   Lönnstedt L, 2000, SCAND J FOREST RES, V15, P651, DOI 10.1080/02827580050216905
   Macpherson MF, 2017, ECOL MODEL, V350, P87, DOI 10.1016/j.ecolmodel.2017.02.003
   Markowitz H, 1952, J FINANC, V7, P77, DOI 10.1111/j.1540-6261.1952.tb01525.x
   Matthies BD, 2019, J ENVIRON MANAGE, V231, P926, DOI 10.1016/j.jenvman.2018.10.049
   Messerer K, 2020, CAN J FOREST RES, V50, P487, DOI 10.1139/cjfr-2018-0546
   Messerer K, 2017, ANN FOREST SCI, V74, DOI 10.1007/s13595-017-0643-0
   Möhring B, 2001, ALLG FORST JAGDZTG, V172, P61
   Möhring VB, 2006, ALLG FORST JAGDZTG, V177, P21
   Mollmann TB, 2017, ANN FOREST SCI, V74, DOI 10.1007/s13595-017-0670-x
   Musshoff O, 2014, FOREST POLICY ECON, V41, P31, DOI 10.1016/j.forpol.2013.12.006
   Netherer S, 2005, FOREST ECOL MANAG, V207, P99, DOI 10.1016/j.foreco.2004.10.020
   Neuner S, 2017, CLIMATIC CHANGE, V140, P519, DOI 10.1007/s10584-016-1891-y
   Neuner S, 2013, SCAND J FOREST RES, V28, P38, DOI 10.1080/02827581.2012.683038
   O'Neill M., 1999, Agricultural and Forest Entomology, V1, P151, DOI 10.1046/j.1461-9563.1999.00021.x
   Ogris N, 2019, ECOL MODEL, V410, DOI 10.1016/j.ecolmodel.2019.108775
   Overbeck M, 2012, FOREST ECOL MANAG, V266, P115, DOI 10.1016/j.foreco.2011.11.011
   Parkatti VP, 2020, CAN J FOREST RES, V50, P1138, DOI 10.1139/cjfr-2020-0056
   Pasztor F, 2014, FOREST ECOL MANAG, V318, P349, DOI 10.1016/j.foreco.2014.01.044
   Paul C, 2019, ANN FOREST SCI, V76, DOI 10.1007/s13595-018-0793-8
   Prestemon JP, 2008, FOR SCI, V79, P167
   Pukall K., 2019, DOUGLAS FIR OPTION E, P111
   R Core Team, 2019, R LANG ENV STAT COMP
   Riahi K, 2011, CLIMATIC CHANGE, V109, P33, DOI 10.1007/s10584-011-0149-y
   Roques A, 2006, CAN J FOREST RES, V36, P299, DOI 10.1139/x05-277
   Sauter PA, 2016, FOREST POLICY ECON, V73, P78, DOI 10.1016/j.forpol.2016.08.005
   Schmidt M, 2010, TAGUNGSBAND DVFFA SE, P131
   Schmidt M., MODELLING PROB UNPUB
   Schmidt M, 2010, CAN J FOREST RES, V40, P1636, DOI 10.1139/X10-099
   Schober R., 1995, Ertragstafeln Wichtiger Baumarten bei Verschiedener Durchforstung, V4th
   Schoene DHF, 2012, FOREST POLICY ECON, V24, P12, DOI 10.1016/j.forpol.2011.04.007
   Schoneberg S., 2017, BEITRAGE JAHRESTAGUN, P20
   Schwalm CR, 2020, P NATL ACAD SCI USA, V117, P19656, DOI 10.1073/pnas.2007117117
   Seidl R, 2007, ECOL MODEL, V206, P383, DOI 10.1016/j.ecolmodel.2007.04.002
   Seidl R, 2014, NAT CLIM CHANGE, V4, P806, DOI [10.1038/nclimate2318, 10.1038/NCLIMATE2318]
   Seintsch B., 2012, 5 C HARDW RES UT EUR, P301
   Spittlehouse D. L., 2003, BC Journal of Ecosystems and Management, V4, P7
   Stadelmann G, 2013, FOREST ECOL MANAG, V305, P273, DOI 10.1016/j.foreco.2013.06.003
   Staupendahl K., 2011, Forstarchiv, V82, P10
   Staupendahl K, 2018, HOLZWERBUNGSKOSTEN U
   Staupendahl K, 2011, ALLG FORST JAGDZTG, V182, P129
   Staupendahl K, 2011, FOREST POLICY ECON, V13, P496, DOI 10.1016/j.forpol.2011.05.007
   Thiele JC, 2017, ECOL MODEL, V346, P30, DOI 10.1016/j.ecolmodel.2016.11.013
   Thunen-Institut, 2015, 3 BUND ERG
   Thurm EA, 2018, FOREST ECOL MANAG, V430, P485, DOI 10.1016/j.foreco.2018.08.028
   Toth D, 2020, FORESTS, V11, DOI 10.3390/f11030283
   van Kooten GC, 2019, J FOREST ECON, V34, P159, DOI 10.1561/112.00000446
   van Loo M., 2019, DOUGLAS FIR OPTION E, P30
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P95, DOI 10.1007/s10584-011-0152-3
   VARADHAN R., 2015, R package version 2015
   Vitali V, 2017, GLOBAL CHANGE BIOL, V23, P5108, DOI 10.1111/gcb.13774
   von Bodelschwingh H, 2018, OKONOMISCHE POTENTIA, V47
   Wang Lee Keun, 2019, [Journal of Korea Academia-Industrial cooperation Society, 한국산학기술학회논문지], V20, P440, DOI 10.5762/KAIS.2019.20.1.440
   Waring KM, 2009, ENVIRON MANAGE, V44, P824, DOI 10.1007/s00267-009-9342-4
   Wermelinger B, 2004, FOREST ECOL MANAG, V202, P67, DOI 10.1016/j.foreco.2004.07.018
   Wollborn P., 1998, 1 HOLZ, V53, P547
   Xu Y, 2016, J FOREST ECON, V24, P106, DOI 10.1016/j.jfe.2016.04.003
   Yousefpour R, 2017, ECOL SOC, V22, DOI 10.5751/ES-09614-220440
NR 104
TC 14
Z9 14
U1 4
U2 24
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 0015-752X
EI 1464-3626
J9 FORESTRY
JI Forestry
PD MAR 9
PY 2022
VL 95
IS 2
BP 229
EP 246
DI 10.1093/forestry/cpab040
EA SEP 2021
PG 18
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Forestry
GA 0E5FF
UT WOS:000776706600006
OA Green Published
DA 2025-01-10
ER

PT J
AU Cirrincione, L
   Marvuglia, A
   Scaccianoce, G
AF Cirrincione, Laura
   Marvuglia, Antonino
   Scaccianoce, Gianluca
TI Assessing the effectiveness of green roofs in enhancing the energy and
   indoor comfort resilience of urban buildings to climate change:
   Methodology proposal and application
SO BUILDING AND ENVIRONMENT
LA English
DT Article
DE Green roofs; Energy building simulation; Indoor thermal comfort; Energy
   savings; Climate change adaptation; Urban buildings resilience
ID LIFE-CYCLE ASSESSMENT; THERMAL PERFORMANCE; PLANT; SUBSTRATE; BENEFITS;
   IMPACT; INSULATION; VEGETATION; STOCKS; INTEGRATION
AB The effects of climate change on the built environment represents an important research challenge. Today, green roofs (GRs) represent a viable solution for enhancing energy and urban resilience in the face of climate change, as they can have a positive impact on the building's indoor thermal comfort and energy demand, as well as inducing various environmental benefits (easing urban heat island effects, improving the management of runoff water, reducing air pollution, etc.). Thus, it is important to be able to assess their effectiveness, both today and under future climate conditions, in order to evaluate whether they can also provide a valid long-term solution. In this paper, a simulation approach is proposed to evaluate the energy and indoor-comfort efficacy of GRs installed on a cluster of buildings with respect to climate change and demographic growth. To illustrate the proposed methodology, it has been applied to two European urban environments characterized by very different climatic conditions (Esch-sur-Alzette in Luxembourg and Palermo in Italy) considering their behaviour over a period of 60 years (2020, 2050, 2080). Results showed that, with respect to standard existing roofs (i.e., without the presence of green coverage), and considering the rising temperatures due to climate change, during cooling seasons GRs enabled significant energy savings (ranging from 20% to 50% for Esch-sur-Alzette and from 3% to 15% for Palermo), improvement of the indoor comfort (reduction of the average predicted mean votes - PMVs) and attenuation of the ceiling temperatures (2-5 degrees C for both contexts) of the buildings' top floors.
C1 [Cirrincione, Laura; Scaccianoce, Gianluca] Univ Palermo, Dept Engn, Viale Sci Bld 9, I-90128 Palermo, Italy.
   [Marvuglia, Antonino] Luxembourg Inst Sci & Technol LIST, ERIN Environm Res & Innovat Dept, 41 Rue Brill, L-4422 Belvaux, Luxembourg.
C3 University of Palermo; Luxembourg Institute of Science & Technology
RP Marvuglia, A (corresponding author), Luxembourg Inst Sci & Technol LIST, ERIN Environm Res & Innovat Dept, 41 Rue Brill, L-4422 Belvaux, Luxembourg.
EM laura.cirrincione@unipa.it; antonino.marvuglia@list.lu;
   gianluca.scaccianoce@unipa.it
RI Cirrincione, Laura/ABC-6375-2021; Scaccianoce, Gianluca/AAS-2218-2020;
   Marvuglia, Antonino/AAD-6483-2022
OI Marvuglia, Antonino/0000-0002-8360-8040
FU COST Action [CA16114]
FX The article was developed with the support of the COST Action CA16114
   `RESTORE: Rethinking Sustainability towards a Regenerative Economy",
   thanks to the Short-Term Scientific Mission (STSM) carried out at the
   Luxembourg Institute of Science and Technology (LIST) by Laura
   Cirrincione. The authors wish to think Lindsey Auguin for the English
   proofreading.
CR Aboelata A, 2021, ENERGY, V219, DOI 10.1016/j.energy.2020.119514
   Almenar JB, 2021, LAND USE POLICY, V100, DOI 10.1016/j.landusepol.2020.104898
   [Anonymous], 2003, OFF J EUR COMMUN, V4, pL1
   [Anonymous], 1970, Thermal Comfort
   [Anonymous], 2014, 11552 UNI UNITR
   [Anonymous], 2019, 167981 UNI EN, V6
   Attia S, 2016, SUSTAIN CITIES SOC, V26, P393, DOI 10.1016/j.scs.2016.04.017
   Bauer N, 2017, GLOBAL ENVIRON CHANG, V42, P316, DOI 10.1016/j.gloenvcha.2016.07.006
   Belcher S. E., 2005, Building Services Engineering Research & Technology, V26, P49, DOI 10.1191/0143624405bt112oa
   Berardi U, 2020, RENEW SUST ENERG REV, V121, DOI 10.1016/j.rser.2019.109681
   Berardi U, 2016, ENERG BUILDINGS, V121, P217, DOI 10.1016/j.enbuild.2016.03.021
   Bevilacqua P, 2020, RENEW ENERG, V152, P1414, DOI 10.1016/j.renene.2020.01.085
   Bisegna F., 2019, IEEE INT C ENV ELECT, P1, DOI [10.1109/EEEIC.2019.8783774, DOI 10.1109/EEEIC.2019.8783774]
   Blackhurst M, 2010, J ARCHIT ENG, V16, DOI 10.1061/(ASCE)AE.1943-5568.0000022
   Brown M., 2018, SUSTAINABILITY RESTO
   Buckland-Nicks M, 2016, SCI TOTAL ENVIRON, V553, P20, DOI 10.1016/j.scitotenv.2016.02.063
   Cao JJ, 2019, ENERG BUILDINGS, V195, P45, DOI 10.1016/j.enbuild.2019.04.046
   Chenani SB, 2015, J CLEAN PROD, V90, P153, DOI 10.1016/j.jclepro.2014.11.070
   Cirrincione L., 2021, RETHINKING SUSTAINAB, DOI [10.1007/978-3-030-71819-0_8, DOI 10.1007/978-3-030-71819-0_8]
   Cirrincione L, 2020, IEEE MEDITERR ELECT, P488, DOI 10.1109/MELECON48756.2020.9140533
   Cirrincione L, 2020, IEEE MEDITERR ELECT, P494, DOI 10.1109/MELECON48756.2020.9140546
   Cirrincione L, 2020, APPL SCI-BASEL, V10, DOI 10.3390/app10030893
   Coma J, 2016, RENEW ENERG, V85, P1106, DOI 10.1016/j.renene.2015.07.074
   Cristiano E, 2021, SCI TOTAL ENVIRON, V756, DOI 10.1016/j.scitotenv.2020.143876
   Din A, 2017, ENRGY PROCED, V122, P21, DOI 10.1016/j.egypro.2017.07.296
   E.N. ISO, 2008, 1592762008 EN ISO
   Elliot T, 2020, URBAN FOR URBAN GREE, V50, DOI 10.1016/j.ufug.2020.126650
   Ente Italiano di Normazione-UNI, UNI1034932016
   European Commission, 2020, EU EN FIG STAT POCK
   European Commission, 2012, Supplement to Plant Closings and Workers' Rights: A Report to the Council of Ministers by the Secretariat of the Commission for Labor Cooperation
   European Commission, COMPREHENSIVE STUDY, P20
   European Commission; Joint Research Centre; Institute for Environment and Sustainability, 2010, International Reference Life Cycle Data System (ILCD) Handbook - General guide for Life Cycle Assessment - Detailed guidance, V1st1
   European Union, 2018, REGULATION EU 201884, V61, DOI DOI 10.1007/3-540-47891-4_10
   Evola G., INNOVATION URBAN REG, P427
   Fabbri K., 2020, IEEE INT C ENV EL EN, P1, DOI [10.1109/EEEIC/ ICPSEurope49358.2020.9160779, DOI 10.1109/EEEIC/ICPSEUROPE49358.2020.9160779]
   Feng H., 2018, Nature Based Strategies for Urban and Building Sustainability, P307, DOI DOI 10.1016/B978-0-12-812150-4.00028-8
   Ferrante P, 2016, ENERGY, V115, P1723, DOI 10.1016/j.energy.2016.07.085
   Filogamo L, 2014, APPL ENERG, V135, P825, DOI 10.1016/j.apenergy.2014.04.002
   Francipane A., NATURAL HAZARDS EART, V2021, P1, DOI [10.5194/nhess-2021-61, DOI 10.5194/NHESS-2021-61]
   Francis LFM, 2017, URBAN FOR URBAN GREE, V28, P167, DOI 10.1016/j.ufug.2017.10.015
   Gargari C, 2016, AGRIC AGRIC SCI PROC, V8, P646, DOI 10.1016/j.aaspro.2016.02.087
   Gou ZH, 2017, J CLEAN PROD, V153, P600, DOI 10.1016/j.jclepro.2016.02.077
   Goussous J, 2015, SUSTAIN CITIES SOC, V14, P425, DOI 10.1016/j.scs.2014.05.012
   Hausfather Z, 2020, NATURE, V577, P618, DOI 10.1038/d41586-020-00177-3
   Havinga L.C., 2019, REGENERATIVE DESIGN
   IEA, 2019, Global status report for buildings and construction
   Institut Luxembourgeois de Regulation, 2019, RAPP I LUX REG ACT E
   International Energy Agency, 2021, Global EV Outlook, DOI [10.1787/d394399e-en, DOI 10.1787/D394399E-EN]
   International Standard Organization, 2005, 7730 ISO UNI EN ISO
   Jaffal I, 2012, RENEW ENERG, V43, P157, DOI 10.1016/j.renene.2011.12.004
   Jentsch MF, 2013, RENEW ENERG, V55, P514, DOI 10.1016/j.renene.2012.12.049
   Kabisch N, 2017, THEOR PRACT URB SUST, P1, DOI 10.1007/978-3-319-56091-5
   Konstantinou T., 2020, Regenerative technologies for the indoor environment: inspirational guidelines for practitioners, P137
   Koppelaar R., 2021, RETHINKING SUSTAINAB, V15, P149
   Kottek M, 2006, METEOROL Z, V15, P259, DOI 10.1127/0941-2948/2006/0130
   Koura J, 2020, INT J LIFE CYCLE ASS, V25, P423, DOI 10.1007/s11367-019-01700-z
   Koura J, 2017, ENERG BUILDINGS, V151, P358, DOI 10.1016/j.enbuild.2017.06.066
   Kuru A, 2019, ENERG BUILDINGS, V205, DOI 10.1016/j.enbuild.2019.109544
   Maiolo M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12010359
   Marino C, 2017, J BUILD ENG, V13, P169, DOI 10.1016/j.jobe.2017.08.001
   Marvuglia A, 2020, ECOL MODEL, V438, DOI 10.1016/j.ecolmodel.2020.109351
   Marvuglia A, 2020, RENEW SUST ENERG REV, V124, DOI 10.1016/j.rser.2020.109788
   Mastrucci A, 2017, RESOUR CONSERV RECY, V123, P54, DOI 10.1016/j.resconrec.2016.07.003
   Mohapatra S, 2021, MATER TODAY-PROC, V46, P5703, DOI 10.1016/j.matpr.2020.09.843
   Monteiroa MV, 2017, ENERG BUILDINGS, V141, P56, DOI 10.1016/j.enbuild.2017.02.011
   Moro A, 2018, TRANSPORT RES D-TR E, V64, P5, DOI 10.1016/j.trd.2017.07.012
   Naboni E, 2019, RENEW SUST ENERG REV, V113, DOI 10.1016/j.rser.2019.109255
   Niachou A, 2001, ENERG BUILDINGS, V33, P719, DOI 10.1016/S0378-7788(01)00062-7
   O'Neill BC, 2017, GLOBAL ENVIRON CHANG, V42, P169, DOI 10.1016/j.gloenvcha.2015.01.004
   Peñalvo-López E, 2020, ENERGIES, V13, DOI 10.3390/en13051246
   Peri Giorgia, 2013, Applied Mechanics and Materials, V260-261, P251, DOI 10.4028/www.scientific.net/AMM.260-261.251
   Peri G, 2017, ENERG BUILDINGS, V150, P90, DOI 10.1016/j.enbuild.2017.06.002
   Peri G, 2016, ENERG BUILDINGS, V129, P535, DOI 10.1016/j.enbuild.2016.08.018
   Peri G, 2012, ENERGY, V48, P406, DOI 10.1016/j.energy.2012.02.045
   Peri G, 2012, J CLEAN PROD, V35, P274, DOI 10.1016/j.jclepro.2012.05.038
   Pisello AL, 2015, SOL ENERGY, V116, P337, DOI 10.1016/j.solener.2015.03.049
   Ramboll Management Consulting A/S, 2020, QUANT METH AN DEC BE
   Ran JD, 2018, SUSTAIN CITIES SOC, V38, P466, DOI 10.1016/j.scs.2018.01.027
   Recast E, 2010, Off J Eur Union, P18
   Regulation(EU)No1169/2011, 2011, OJ L, V304, P18, DOI DOI 10.1075/TTWIA.27.04KER
   Riahi K, 2017, GLOBAL ENVIRON CHANG, V42, P153, DOI 10.1016/j.gloenvcha.2016.05.009
   Rubel F, 2010, METEOROL Z, V19, P135, DOI 10.1127/0941-2948/2010/0430
   Sailor DJ, 2011, ENERG BUILDINGS, V43, P2298, DOI 10.1016/j.enbuild.2011.05.014
   Santamouris M, 2018, ENERG BUILDINGS, V166, P154, DOI 10.1016/j.enbuild.2018.02.007
   Schindler BY, 2018, J ENVIRON MANAGE, V225, P288, DOI 10.1016/j.jenvman.2018.08.017
   Serrenho T., 2020, 30328EUR
   Shafique M, 2020, SOL ENERGY, V202, P485, DOI 10.1016/j.solener.2020.02.101
   Shafique M, 2018, RENEW SUST ENERG REV, V90, P757, DOI 10.1016/j.rser.2018.04.006
   Suh S., 2017, GREEN TECHNOLOGY CHO
   Susca T, 2019, BUILD ENVIRON, V162, DOI 10.1016/j.buildenv.2019.106273
   Talebi A, 2019, ECOL ENG, V126, P1, DOI 10.1016/j.ecoleng.2018.10.006
   United Nations, 2015, No.A/RES/70/1.
   Vaccaro V., 2016, 2016 IEEE 17 INT WOR, P1, DOI 10.1109/EEEIC.2016.7555412
   Vandepaer L, 2019, INT J LIFE CYCLE ASS, V24, P1409, DOI 10.1007/s11367-018-1571-4
   Vásquez F, 2016, ENERG BUILDINGS, V111, P37, DOI 10.1016/j.enbuild.2015.11.018
   Vera S, 2017, ENERG BUILDINGS, V146, P312, DOI 10.1016/j.enbuild.2017.04.037
   Verichev K, 2020, ENERG BUILDINGS, V215, DOI 10.1016/j.enbuild.2020.109874
   Yeom D, 2017, ENERG BUILDINGS, V149, P26, DOI 10.1016/j.enbuild.2017.05.035
   Zhao MJ, 2014, BUILD ENVIRON, V78, P199, DOI 10.1016/j.buildenv.2014.02.011
   Zhu ZZ, 2021, J CLEAN PROD, V288, DOI 10.1016/j.jclepro.2020.125599
NR 100
TC 46
Z9 46
U1 6
U2 42
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0360-1323
EI 1873-684X
J9 BUILD ENVIRON
JI Build. Environ.
PD NOV
PY 2021
VL 205
AR 108198
DI 10.1016/j.buildenv.2021.108198
EA AUG 2021
PG 15
WC Construction & Building Technology; Engineering, Environmental;
   Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Construction & Building Technology; Engineering
GA WA8XQ
UT WOS:000703166500006
DA 2025-01-10
ER

PT J
AU Hasegawa, T
   Sakai, H
   Tokida, T
   Usui, Y
   Nakamura, H
   Wakatsuki, H
   Chen, CP
   Ikawa, H
   Zhang, GY
   Nakano, H
   Matsushima, MY
   Hayashi, K
AF Hasegawa, Toshihiro
   Sakai, Hidemitsu
   Tokida, Takeshi
   Usui, Yasuhiro
   Nakamura, Hirofumi
   Wakatsuki, Hitomi
   Chen, Charles P.
   Ikawa, Hiroki
   Zhang, Guoyou
   Nakano, Hiroshi
   Matsushima, Miwa Yashima
   Hayashi, Kentaro
TI A High-Yielding Rice Cultivar "Takanari" Shows No N Constraints on
   CO<sub>2</sub> Fertilization
SO FRONTIERS IN PLANT SCIENCE
LA English
DT Article
DE chalky grains; climate change adaptation; CO2 fertilization effects;
   FACE; grain appearance quality; grain yield; nitrogen nutrition; Oryza
   sativa
ID NITROGEN-USE EFFICIENCY; ENRICHMENT FACE; ELEVATED CO2; CARBON-DIOXIDE;
   RESPONSES; QUALITY; CROPS; SOIL; NITRIFICATION; ACCUMULATION
AB Enhancing crop yield response to elevated CO2 concentrations (E-[CO2]) is an important adaptation measure to climate change. A high-yielding indica rice cultivar "Takanari" has recently been identified as a potential candidate for high productivity in E-[CO2] resulting from its large sink and source capacities. To fully utilize these traits, nitrogen should play a major role, but it is unknown how N levels influence the yield response of Takanari to E-[CO2]. We therefore compared grain yield and quality of Takanari with those of Koshihikari, a standard japonica cultivar, in response to Free-Air CO2 enrichment (FACE, +200 mu mol mol(-1)) under three N levels (0, 8, and 12g m(-2)) over three seasons. The biomass of both cultivars increased under E-[CO2] at all N levels; however, the harvest index decreased under E-[CO2] in the N-limited treatment for Koshihikari but not for Takanari. The decreased harvest index of Koshihikari resulted from limited enhancement of spikelet number under N-limitation. In contrast, spikelet number increased in E-[CO2] in Takanari even without N application, resulting in significant yield enhancement, averaging 18% over 3 years, whereas Koshihikari exhibited virtually no increase in yield in E-[CO2] under the N-limited condition. Grain appearance quality of Koshihikari was severely reduced by E-[CO2], most notably in N-limited and hot conditions, by a substantial increase in chalky grain, but chalky grain % did not increase in E-[CO2] even without N fertilizer. These results indicated that Takanari could retain its high yield advantage over Koshihikari with limited increase in chalkiness even under limited N conditions and that it could be a useful genetic resource for improving N use efficiency under E-[CO2].
C1 [Hasegawa, Toshihiro; Zhang, Guoyou] Natl Agr & Food Res Org, Tohoku Agr Res Ctr, Morioka, Iwate, Japan.
   [Sakai, Hidemitsu; Tokida, Takeshi; Wakatsuki, Hitomi; Ikawa, Hiroki; Hayashi, Kentaro] Natl Agr & Food Res Org, Inst Agroenvironm Sci, Tsukuba, Ibaraki, Japan.
   [Usui, Yasuhiro] Natl Agr & Food Res Org, Res Ctr Agr Informat Technol, Tsukuba, Ibaraki, Japan.
   [Usui, Yasuhiro] Natl Agr & Food Res Org, Hokkaido Agr Res Ctr, Memuro, Hokkaido, Japan.
   [Nakamura, Hirofumi] Tayo Keiki Co Ltd, Toda, Saitama, Japan.
   [Chen, Charles P.] Azusa Pacific Univ, Dept Biol & Chem, Azusa, CA USA.
   [Nakano, Hiroshi] Natl Agr & Food Res Org, Kyushu Okinawa Agr Res Ctr, Chikugo, Japan.
   [Matsushima, Miwa Yashima] Chiba Univ, Fac Hort, Matsudo, Chiba, Japan.
C3 National Agriculture & Food Research Organization - Japan; National
   Agriculture & Food Research Organization - Japan; National Agriculture &
   Food Research Organization - Japan; National Agriculture & Food Research
   Organization - Japan; Azusa Pacific University; National Agriculture &
   Food Research Organization - Japan; Chiba University
RP Hasegawa, T (corresponding author), Natl Agr & Food Res Org, Tohoku Agr Res Ctr, Morioka, Iwate, Japan.
EM thase@affrc.go.jp
RI 国友, 张/G-3930-2010; Hayashi, Kentaro/AAA-7902-2021; Chen,
   Charles/ABE-5574-2020; Yashima, Miwa/JZT-1933-2024; Hasegawa,
   Toshihiro/H-8211-2019; Tokida, Takeshi/F-7203-2010; Usui,
   Yasuhiro/AAD-7621-2020; Hayashi, Kentaro/O-1463-2018
OI Zhang, Guoyou/0000-0001-8825-2621; Hasegawa,
   Toshihiro/0000-0001-8501-5612; Ikawa, Hiroki/0000-0002-4984-8067;
   Yashima, Miwa/0000-0001-5461-5914; Wakatsuki,
   Hitomi/0000-0002-9861-5921; Usui, Yasuhiro/0000-0003-3239-0907; Hayashi,
   Kentaro/0000-0002-2936-9544
FU Ministry of Agriculture, Forestry and Fisheries, Japan [JP24114711,
   JP26252004, JJP26252061, JP16H06204, 15K18635]; Japan Society for the
   Promotion of Science; Grants-in-Aid for Scientific Research [15K18635]
   Funding Source: KAKEN
FX This work was supported in part by the Ministry of Agriculture, Forestry
   and Fisheries, Japan, through a research project entitled Development of
   technologies for mitigation and adaptation to climate change in
   agriculture, forestry, and fisheries, and in part by a Grant-in-Aid for
   Scientific Research on Innovative Areas (JP24114711, JP26252004,
   JJP26252061, JP16H06204, 15K18635) by the Japan Society for the
   Promotion of Science.
CR Bloom AJ, 2015, CURR OPIN PLANT BIOL, V25, P10, DOI 10.1016/j.pbi.2015.03.002
   Cassman KG, 2003, ANNU REV ENV RESOUR, V28, P315, DOI 10.1146/annurev.energy.28.040202.122858
   Chen CP, 2014, PLANT CELL PHYSIOL, V55, P381, DOI 10.1093/pcp/pcu009
   Deryng D, 2016, NAT CLIM CHANGE, V6, P786, DOI [10.1038/nclimate2995, 10.1038/NCLIMATE2995]
   Evans L.T., 1993, Crop Evolution, Adaptation and Yield'
   Feng ZZ, 2015, GLOBAL CHANGE BIOL, V21, P3152, DOI 10.1111/gcb.12938
   Guo J, 2015, J ENVIRON SCI, V29, P27, DOI 10.1016/j.jes.2014.05.055
   Hasegawa T, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-13582-y
   Hasegawa T, 2016, ADV AGR SYST MODEL, V7, P45, DOI 10.2134/advagricsystmodel7.2014.0015
   Hasegawa T, 2013, FUNCT PLANT BIOL, V40, P148, DOI 10.1071/FP12357
   Hayashi K., 2016, CHALLENGES AGROENVIR, P93
   Hayashi K, 2014, NUTR CYCL AGROECOSYS, V98, P57, DOI 10.1007/s10705-013-9595-4
   Hoque MM, 2001, BIOL FERT SOILS, V34, P453, DOI 10.1007/s00374-001-0430-8
   Hu B, 2015, NAT GENET, V47, P834, DOI 10.1038/ng.3337
   Iizumi T, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-08214-4
   Ikawa H, 2018, GLOBAL CHANGE BIOL, V24, P1321, DOI 10.1111/gcb.13981
   Imbe T., 2004, Bulletin of the National Institute of Crop Science, P35
   Ishii S, 2011, MICROBES ENVIRON, V26, P282, DOI 10.1264/jsme2.ME11293
   Ishimaru T, 2016, PLANT PROD SCI, V19, P12, DOI 10.1080/1343943X.2015.1128113
   Kim HY, 2003, FIELD CROP RES, V83, P261, DOI 10.1016/S0378-4290(03)00076-5
   Kimball BA, 2002, ADV AGRON, V77, P293, DOI 10.1016/S0065-2113(02)77017-X
   Kimball BA, 2016, CURR OPIN PLANT BIOL, V31, P36, DOI 10.1016/j.pbi.2016.03.006
   Kobayashi A, 2018, RICE, V11, DOI 10.1186/s12284-018-0207-4
   Kobayashi K, 2006, ECOL STU AN, V187, P87
   Li YL, 2008, PLANT CELL ENVIRON, V31, P73, DOI 10.1111/j.1365-3040.2007.01737.x
   Morita S., 2005, Rice is life: scientific perspectives for the 21st century. Proceedings of the World Rice Research Conference held in Tsukuba, Japan, 4-7 November 2004, P560
   Morita S, 2016, PLANT PROD SCI, V19, P1, DOI 10.1080/1343943X.2015.1128114
   Myers SS, 2014, NATURE, V510, P139, DOI 10.1038/nature13179
   Nakamura Hirofumi, 2012, Journal of Agricultural Meteorology, V68, P15, DOI 10.2480/agrmet.68.1.2
   Nakano H, 1997, PLANT PHYSIOL, V115, P191, DOI 10.1104/pp.115.1.191
   Nakano H, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-01690-8
   Oikawa S, 2017, PLANT SOIL, V418, P231, DOI 10.1007/s11104-017-3280-3
   Okadome H, 2005, JARQ-JPN AGR RES Q, V39, P261, DOI 10.6090/jarq.39.261
   Reich PB, 2018, SCIENCE, V360, P317, DOI 10.1126/science.aas9313
   Reich PB, 2013, NAT CLIM CHANGE, V3, P278, DOI [10.1038/nclimate1694, 10.1038/NCLIMATE1694]
   Rosenzweig C, 2014, P NATL ACAD SCI USA, V111, P3268, DOI 10.1073/pnas.1222463110
   Sakai H, 2006, NEW PHYTOL, V170, P321, DOI 10.1111/j.1469-8137.2006.01688.x
   Schleussner CF, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aab63b
   Stitt M, 1999, PLANT CELL ENVIRON, V22, P583, DOI 10.1046/j.1365-3040.1999.00386.x
   Sun L, 2016, NEW PHYTOL, V212, P646, DOI 10.1111/nph.14057
   Takai T, 2018, PLANT BREEDING, V137, P109, DOI 10.1111/pbr.12575
   Takai T, 2014, BMC PLANT BIOL, V14, DOI 10.1186/s12870-014-0295-2
   Takehara K, 2018, BREEDING SCI, V68, P336, DOI 10.1270/jsbbs.18007
   Takeuchi Y, 2016, KENKYUSEIKA554 DEV M, P40
   Taylaran RD, 2009, PLANT PROD SCI, V12, P365, DOI 10.1626/pps.12.365
   Toriyama K, 2002, SOIL SCI PLANT NUTR, V48, P293, DOI 10.1080/00380768.2002.10409204
   Usui Y, 2016, GLOBAL CHANGE BIOL, V22, P1256, DOI 10.1111/gcb.13128
   Usui Y, 2014, RICE, V7, DOI 10.1186/s12284-014-0006-5
   Wada G, 1969, B NATL I AGR SCI A, V16, P1
   Wakamatsu K., 2008, Japanese Journal of Crop Science, V77, P424, DOI 10.1626/jcs.77.424
   Wang F, 2017, J INTEGR AGR, V16, P1000, DOI 10.1016/S2095-3119(16)61561-7
   Yang LX, 2007, FIELD CROP RES, V102, P128, DOI 10.1016/j.fcr.2007.03.006
   Yang LX, 2006, FIELD CROP RES, V98, P141, DOI 10.1016/j.fcr.2005.12.014
   Yoshimoto M., 2005, J. Agric. Meteorol., V60, P597, DOI [10.2480/agrmet.597, DOI 10.2480/AGRMET.597]
   Zhang GY, 2015, FIELD CROP RES, V179, P72, DOI 10.1016/j.fcr.2015.04.006
   Zhang GY, 2013, J EXP BOT, V64, P3179, DOI 10.1093/jxb/ert154
   Zhang X, 2015, NATURE, V528, P51, DOI 10.1038/nature15743
   Zhao C, 2017, P NATL ACAD SCI USA, V114, P9326, DOI 10.1073/pnas.1701762114
   Zhu CW, 2015, SCI REP-UK, V5, DOI [10.1038/srep12719, 10.1038/srep15312]
NR 59
TC 28
Z9 30
U1 6
U2 31
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
SN 1664-462X
J9 FRONT PLANT SCI
JI Front. Plant Sci.
PD APR 5
PY 2019
VL 10
AR 361
DI 10.3389/fpls.2019.00361
PG 15
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA HR9HE
UT WOS:000463469100001
PM 31024578
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Liu, Y
   Bi, J
   Lv, JS
AF Liu, Yang
   Bi, Jun
   Lv, Jianshu
TI Future Impacts of Climate Change and Land Use on Multiple Ecosystem
   Services in a Rapidly Urbanizing Agricultural Basin, China
SO SUSTAINABILITY
LA English
DT Article
DE ecosystem services; land use; climate change; CA-Markov model; RCPs
   scenarios; Taihu Basin
ID CHANGE SCENARIOS; DECISION-MAKING; COVER CHANGES; RIVER-BASIN; TAIHU
   LAKE; TRADE-OFFS; MODEL; CONSERVATION; PROVISION; NITROGEN
AB Ecosystem services (ESs) in rapidly urbanizing agricultural basins are vulnerable to environmental changes. Adequately understanding the driving forces and the dynamics of ESs related to water quantity and quality can provide a basis for making sound management decisions on the development of basins. Here, we explored the impacts of future land use and climate changes on four ESs: nitrogen and phosphorous purification, water supply, and soil retention services in the Taihu Basin region of eastern China. Spatially explicit methods, a cellular automata-Markov (CA-Markov) model and the delta downscaling method were used to quantify the ESs, simulate land use changes, and project future climate changes, respectively. We built a business-as-usual land use scenario, representative concentration pathways (RCPs) scenarios for climate change, as well as a combined land use and climate change scenario to analyze the changes in the drivers and the responses of ESs. The results showed the following: (1) future land use changes would significantly enhance the nitrogen purification service while reducing the phosphorus purification service compared to other services; (2) climate change would have substantial effects on water supply and soil retention, but these impacts would vary with different RCPs scenarios during three future periods; and (3) the combined scenarios of both drivers would obviously influence all ESs and lead to a nitrogen purification service that was different from the other three services. Moreover, the policy implications of the results were discussed. The findings can help guide the creation of policies for land structure and patterns, climate change adaptation, and ecosystem-based management to promote the sustainable development of watersheds at the regional scale.
C1 [Liu, Yang] Univ Jinan, Business Sch, Jinan 250002, Shandong, Peoples R China.
   [Bi, Jun] Nanjing Univ, Sch Environm, State Key Lab Pollut Control & Resources Reuse, Nanjing 210023, Jiangsu, Peoples R China.
   [Lv, Jianshu] Shandong Normal Univ, Sch Geog & Environm, Jinan 250014, Shandong, Peoples R China.
C3 University of Jinan; Nanjing University; Shandong Normal University
RP Liu, Y (corresponding author), Univ Jinan, Business Sch, Jinan 250002, Shandong, Peoples R China.; Bi, J (corresponding author), Nanjing Univ, Sch Environm, State Key Lab Pollut Control & Resources Reuse, Nanjing 210023, Jiangsu, Peoples R China.
EM sm_liuyang0531@ujn.edu.cn; jbi@nju.edu.cn; lvjianshu@sdnu.edu.cn
RI Lv, Jianshu/Q-9591-2018
OI Lv, Jianshu/0000-0002-6843-7677
FU National Natural Science Foundation of China [41701604, 41601549]; Major
   Water Projects of the Science and Technology Ministry
   [2012ZX07506-001-05]; Natural Science Foundation of Shandong Province
   [ZR2017BD003, ZR2016DQ11]; Social Science Planning Foundation of
   Shandong Province [16DKJJ01]; Doctoral Foundation of University of Jinan
   [16010023]; National Social Science Fund Major Project [15ZDB163]
FX This study was jointly supported and funded by the National Natural
   Science Foundation of China (Nos. 41701604, 41601549), the Major Water
   Projects of the Science and Technology Ministry (No.
   2012ZX07506-001-05), the Natural Science Foundation of Shandong Province
   (Nos. ZR2017BD003, ZR2016DQ11), the Social Science Planning Foundation
   of Shandong Province (No. 16DKJJ01), the Doctoral Foundation of
   University of Jinan (No. 16010023), and the National Social Science Fund
   Major Project (No.15ZDB163).
CR Adhikari S, 2012, REMOTE SENS-BASEL, V4, P3215, DOI 10.3390/rs4103215
   [Anonymous], 2014, Environmental Policy Collection
   [Anonymous], ACTA ECOLOGICA SINIC
   Arunyawat S, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080768
   Bateman IJ, 2013, SCIENCE, V341, P45, DOI 10.1126/science.1234379
   Blanco V, 2017, ECOSYST SERV, V23, P174, DOI 10.1016/j.ecoser.2016.12.003
   Brauman KA, 2007, ANNU REV ENV RESOUR, V32, P67, DOI 10.1146/annurev.energy.32.031306.102758
   Brown I, 2015, ENVIRON SCI POLICY, V52, P74, DOI 10.1016/j.envsci.2015.05.005
   Busuioc A, 2006, THEOR APPL CLIMATOL, V86, P101, DOI 10.1007/s00704-005-0210-8
   Cabral P, 2016, ECOSYST SERV, V22, P318, DOI 10.1016/j.ecoser.2016.08.005
   Olmedo MTC, 2015, ENVIRON MODELL SOFTW, V69, P214, DOI 10.1016/j.envsoft.2015.03.003
   Challinor AJ, 2014, NAT CLIM CHANGE, V4, P287, DOI [10.1038/nclimate2153, 10.1038/NCLIMATE2153]
   Chaplin-Kramer R, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/7/074012
   Cioffi F, 2017, HYDROL PROCESS, V31, P668, DOI 10.1002/hyp.11061
   Costanza R, 1997, NATURE, V387, P253, DOI 10.1038/387253a0
   Crossman ND, 2013, CURR OPIN ENV SUST, V5, P509, DOI 10.1016/j.cosust.2013.06.003
   Diaz-Nieto J, 2005, CLIMATIC CHANGE, V69, P245, DOI 10.1007/s10584-005-1157-6
   Dibike YB, 2008, THEOR APPL CLIMATOL, V91, P149, DOI 10.1007/s00704-007-0299-z
   Dodds WK, 2013, ENVIRON SCI TECHNOL, V47, P9061, DOI 10.1021/es4021052
   Droogers P., 2002, Irrigation and Drainage Systems, V16, P33, DOI 10.1023/A:1015508322413
   [段亮 DUAN Liang], 2006, [水土保持通报, Bulletin of Soil and Water Conservation], V26, P40
   Euliss NH, 2010, ENVIRON SCI TECHNOL, V44, P7761, DOI 10.1021/es102761c
   Fan M, 2015, ECOL INDIC, V50, P79, DOI 10.1016/j.ecolind.2014.11.003
   Fan M, 2014, WATER RESOUR MANAG, V28, P3619, DOI 10.1007/s11269-014-0691-2
   [范泽孟 Fan Zemeng], 2005, [地理学报, Acta Geographica Sinica], V60, P941
   Fang JH, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0192727
   Fu Q, 2017, SCI TOTAL ENVIRON, V607, P633, DOI 10.1016/j.scitotenv.2017.06.241
   Gao J, 2017, J CLEAN PROD, V163, pS148, DOI 10.1016/j.jclepro.2016.01.049
   [高俊峰 Gao Junfeng], 2002, [地理学报, Acta Geographica Sinica], V57, P194
   Gardner KK, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009738
   Giorgio GA, 2017, MEASUREMENT, V112, P61, DOI 10.1016/j.measurement.2017.08.005
   Goldstein JH, 2012, P NATL ACAD SCI USA, V109, P7565, DOI 10.1073/pnas.1201040109
   Gosling SN, 2013, ENVIRON SCI POLICY, V27, pS15, DOI 10.1016/j.envsci.2012.03.011
   Grimm NB, 2013, FRONT ECOL ENVIRON, V11, P456, DOI 10.1890/120310
   Hao RF, 2017, SCI TOTAL ENVIRON, V579, P718, DOI 10.1016/j.scitotenv.2016.11.036
   Hou Y, 2016, ENVIRON MONIT ASSESS, V188, DOI 10.1007/s10661-016-5629-0
   Hoyer R, 2014, APPL GEOGR, V53, P402, DOI 10.1016/j.apgeog.2014.06.023
   Huang L, 2013, ENVIRON MANAGE, V51, P939, DOI 10.1007/s00267-013-0024-x
   [黄林 Huang Lin], 2012, [生态学报, Acta Ecologica Sinica], V32, P6110
   [纪迪 Ji Di], 2013, [自然资源学报, Journal of Natural Resources], V28, P51
   Jia XQ, 2014, ECOL INDIC, V43, P103, DOI 10.1016/j.ecolind.2014.02.028
   Ju XT, 2009, P NATL ACAD SCI USA, V106, P3041, DOI 10.1073/pnas.0813417106
   Kirchner M, 2015, ECOL ECON, V109, P161, DOI 10.1016/j.ecolecon.2014.11.005
   Langerwisch F, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aa954d
   Laniak GF, 2013, ENVIRON MODELL SOFTW, V39, P3, DOI 10.1016/j.envsoft.2012.09.006
   Leemans R, 2004, GLOBAL ENVIRON CHANG, V14, P219, DOI 10.1016/j.gloenvcha.2004.04.009
   Li HengPeng Li HengPeng, 2007, Acta Pedologica Sinica, V44, P1063
   Li Jing, 2009, ENV SCI MANAGEMENT, V34, P138
   Li JH, 2016, ECOL INDIC, V60, P1008, DOI 10.1016/j.ecolind.2015.09.002
   Li SX, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10040960
   Liu JG, 2008, P NATL ACAD SCI USA, V105, P9477, DOI 10.1073/pnas.0706436105
   Liu Y., 2001, J HYDRAUL ENG, V32, P19
   Liu Y, 2013, SCI TOTAL ENVIRON, V450, P108, DOI 10.1016/j.scitotenv.2013.01.083
   Liu Y, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-07465-5
   [吕刚 Lu Gang], 2013, [干旱地区农业研究, Agricultural Research in the Arid Areas], V31, P111
   Lu M, 2013, ECOLOGY, V94, P726, DOI 10.1890/12-0279.1
   [吕文 Lu Wen], 2013, [水土保持通报, Bulletin of Soil and Water Conservation], V33, P202
   Lü YH, 2012, ENVIRON SCI TECHNOL, V46, P2492, DOI 10.1021/es300475w
   Luo YQ, 2006, ECOLOGY, V87, P53, DOI 10.1890/04-1724
   Maes J, 2012, ECOSYST SERV, V1, P31, DOI 10.1016/j.ecoser.2012.06.004
   Marquès M, 2013, J HAZARD MATER, V263, P224, DOI 10.1016/j.jhazmat.2013.07.049
   Marshall E, 2008, CLIMATIC CHANGE, V89, P263, DOI 10.1007/s10584-007-9389-2
   Martin KL, 2017, ECOHYDROLOGY, V10, DOI 10.1002/eco.1870
   Mayer AL, 2016, BIOSCIENCE, V66, P458, DOI 10.1093/biosci/biw035
   Mondal P, 2010, FOREST ECOL MANAG, V260, P1716, DOI 10.1016/j.foreco.2010.08.017
   Nelson E, 2009, FRONT ECOL ENVIRON, V7, P4, DOI 10.1890/080023
   Olofsson P, 2014, REMOTE SENS ENVIRON, V148, P42, DOI 10.1016/j.rse.2014.02.015
   Ouyang Z, 2016, SCIENCE, V352, P1455, DOI 10.1126/science.aaf2295
   Pandeya B, 2016, ECOSYST SERV, V22, P250, DOI 10.1016/j.ecoser.2016.10.015
   Qiao JM, 2018, SCI TOTAL ENVIRON, V613, P314, DOI 10.1016/j.scitotenv.2017.08.264
   Qiu JX, 2013, P NATL ACAD SCI USA, V110, P12149, DOI 10.1073/pnas.1310539110
   Redhead JW, 2016, SCI TOTAL ENVIRON, V569, P1418, DOI 10.1016/j.scitotenv.2016.06.227
   Redhead JW, 2018, SCI TOTAL ENVIRON, V610, P666, DOI 10.1016/j.scitotenv.2017.08.092
   Reidsma P, 2012, ENVIRON SCI POLICY, V18, P66, DOI 10.1016/j.envsci.2012.01.003
   Runting RK, 2017, GLOBAL CHANGE BIOL, V23, P28, DOI 10.1111/gcb.13457
   Salvia-Castellví M, 2005, SCI TOTAL ENVIRON, V344, P51, DOI 10.1016/j.scitotenv.2005.02.005
   Samal NR, 2017, ECOL SOC, V22, DOI [10.5751/ES-09662-220418, 10.5751/es-09662-220418]
   Sánchez-Canales M, 2012, SCI TOTAL ENVIRON, V440, P140, DOI 10.1016/j.scitotenv.2012.07.071
   Schirpke U, 2017, ECOSYST SERV, V26, P79, DOI 10.1016/j.ecoser.2017.06.008
   Schröter D, 2005, SCIENCE, V310, P1333, DOI 10.1126/science.1115233
   Sharp R., 2016, NATURAL CAPITAL PROJ
   Sharps K, 2017, SCI TOTAL ENVIRON, V584, P118, DOI 10.1016/j.scitotenv.2016.12.160
   Shaw MR, 2011, CLIMATIC CHANGE, V109, P465, DOI 10.1007/s10584-011-0313-4
   [史学正 SHI Xuezheng], 2007, [土壤, Soils], V39, P329
   Su CH, 2012, SUSTAIN SCI, V7, P17, DOI 10.1007/s11625-011-0145-1
   [孙小祥 Sun Xiaoxiang], 2014, [自然资源学报, Journal of Natural Resources], V29, P1675
   Tallis H, 2008, P NATL ACAD SCI USA, V105, P9457, DOI 10.1073/pnas.0705797105
   Tang ZL, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10020467
   Tung CP, 2006, HYDROL PROCESS, V20, P1629, DOI 10.1002/hyp.5959
   Vihervaara P, 2010, AMBIO, V39, P314, DOI 10.1007/s13280-010-0048-x
   Wang M, 2016, ENVIRON MONIT ASSESS, V188, DOI 10.1007/s10661-016-5245-z
   Wang Ning, 2008, Shengtaixue Zazhi, V27, P557
   Wolff S, 2015, ECOL INDIC, V55, P159, DOI 10.1016/j.ecolind.2015.03.016
   Wong CP, 2015, ECOL LETT, V18, P108, DOI 10.1111/ele.12389
   Xu XB, 2016, SCI TOTAL ENVIRON, V554, P7, DOI 10.1016/j.scitotenv.2016.02.120
   [闫丽珍 YAN Li-zhen], 2010, [中国人口·资源与环境, China Population·Resources and Environment], V20, P99
   Yan YY, 2018, MAR POLLUT BULL, V133, P349, DOI 10.1016/j.marpolbul.2018.05.050
   Yang SQ, 2018, SCI TOTAL ENVIRON, V644, P556, DOI 10.1016/j.scitotenv.2018.06.348
   Yao YJ, 2014, J HYDROL, V519, P50, DOI 10.1016/j.jhydrol.2014.06.046
   Yengoh G.T., 2015, Use of the Normalized Difference Vegetation Index (NDVI) to assess Land degradation at multiple scales: current status, future trends, and practical considerations
   Zarandian A, 2017, LAND USE POLICY, V61, P487, DOI 10.1016/j.landusepol.2016.12.003
   Zessner M, 2017, SCI TOTAL ENVIRON, V579, P1137, DOI 10.1016/j.scitotenv.2016.11.092
   Zhang L, 2004, WATER RESOUR RES, V40, DOI 10.1029/2003WR002710
   Zhang L, 2009, ACTA AGR JIANGXI, V21, P129
   [张燕 Zhang Yan], 2003, [水土保持通报, Bulletin of Soil and Water Conservation], V23, P23
   Zheng H.A., 2008, MAR GEOL QUAT GEOL, V28, P79
NR 106
TC 8
Z9 9
U1 1
U2 86
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD DEC
PY 2018
VL 10
IS 12
AR 4575
DI 10.3390/su10124575
PG 23
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA HG9OL
UT WOS:000455338100241
OA gold
DA 2025-01-10
ER

PT J
AU Hynds, P
   Naughton, O
   O'Neill, E
   Mooney, S
AF Hynds, Paul
   Naughton, Owen
   O'Neill, Eoin
   Mooney, Simon
TI Efficacy of a national hydrological risk communication strategy:
   Domestic wastewater treatment systems in the Republic of Ireland
SO JOURNAL OF HYDROLOGY
LA English
DT Article
DE Wastewater treatment; Regulation; Policy; Engagement; Socio-hydrology;
   Risk communication
ID PUBLIC AWARENESS; COMMUNITIES; PERCEPTIONS; ENGAGEMENT; BEHAVIORS;
   EXPOSURE
AB A significant body of research has focused on the role of domestic wastewater treatment systems (DWWTSs) as sources of human-specific aquatic contaminants in both developed and developing regions. However, to date few studies have sought to investigate the awareness, attitudes and behaviours of DWWTS owners and the efficacy of associated communication initiatives. The current study provides an examination of a public national engagement campaign undertaken in the Republic of Ireland which seeks to minimise the impact of DWWTSs on human and ecological health via concurrent inspection and information dissemination. Overall, 1634 respondents were surveyed using a "before and after" study design to capture if and how awareness, attitudes and behaviours evolved over time. Findings suggest that whilst the campaign provided a modest baseline to raise general awareness associated with the basic operational and maintenance requirements of DWWTS, there has been little or no behavioural engagement as a result, suggesting a significant awareness-behaviour gap. Accordingly, efforts to minimise potential human and ecological, impacts have been unsuccessful. Moreover, results suggest that public attitudes towards water-related regulation and policy became increasingly negative over the study period due to parallel political and economic issues, further complicating future engagement. Future strategies, both in Ireland and further afield, should focus on health-based demographically-focused message framing to achieve significant knowledge and attitudinal shifts amongst specific population cohorts, and thus bring about significant behavioural change. Study findings and recommendations may be used by myriad stakeholders including local, provincial and national authorities to effectively engage with individuals and communities prior to and during implementation of legislative and policy-based instruments within numerous spheres including climate change adaptation, environmental quality, hydrological risk, and hydro-ecology. (C) 2018 Elsevier B.V. All rights reserved.
C1 [Hynds, Paul] Dublin Inst Technol, Environm Sustainabil & Hlth Inst, Dublin 7, Ireland.
   [Naughton, Owen] Trinity Coll Dublin, Dept Civil Struct & Environm Engn, Dublin 2, Ireland.
   [O'Neill, Eoin; Mooney, Simon] Univ Coll Dublin, Sch APEP, UCD Planning & Environm Policy, Dublin 4, Ireland.
   [O'Neill, Eoin] Univ Coll Dublin, UCD Earth Inst, Dublin 4, Ireland.
C3 Trinity College Dublin; University College Dublin; University College
   Dublin
RP Hynds, P (corresponding author), Dublin Inst Technol, Environm Sustainabil & Hlth Inst, Dublin 7, Ireland.
EM hyndsp@tcd.ie
OI O'Neill, Eoin/0000-0003-3476-161X; Naughton, Owen/0000-0001-9616-0022
FU Environmental Protection Agency (Ireland) STRIVE programme
   [2013-W-SS-10]
FX The authors would like to thank all anonymous respondents for taking the
   time to complete the questionnaires, and several national
   non-professional interest groups (ESAI, IAH, ICA, NFGWS) for survey
   distribution. This research received support from the Environmental
   Protection Agency (Ireland) STRIVE programme (Project Number
   2013-W-SS-10). The authors would also like to thank two independent
   reviewers for their insightful queries, comments, and recommendations
   which greatly helped improve the manuscript.
CR [Anonymous], 2013, PACKAGE SURVEY
   [Anonymous], CENS 2011 PROF 4 ROO
   Armstrong E., 2013, The Role of Active Participation and Citizen Engagement in Good Governance
   Atkin C.K., 2012, Public communication campaigns, V4th
   Borchardt MA, 2011, GROUND WATER, V49, P85, DOI 10.1111/j.1745-6584.2010.00686.x
   Bubeck P, 2013, GLOBAL ENVIRON CHANG, V23, P1327, DOI 10.1016/j.gloenvcha.2013.05.009
   Burningham K, 2008, DISASTERS, V32, P216, DOI 10.1111/j.1467-7717.2007.01036.x
   Castleden H, 2015, CAN GEOGR-GEOGR CAN, V59, P111, DOI 10.1111/cag.12169
   Chappells H, 2015, SCI TOTAL ENVIRON, V505, P1259, DOI 10.1016/j.scitotenv.2013.12.108
   Coffman J., 2002, PUBLIC COMMUNICATION
   Cussen N., 2010, EPA DEHLG WAT QUAL S
   Dean AJ, 2016, ENVIRON SCI POLICY, V55, P238, DOI 10.1016/j.envsci.2015.10.016
   Devitt C, 2016, J HYDROL, V535, P534, DOI 10.1016/j.jhydrol.2016.02.015
   Environmental Protection Agency Ireland (EPA), 2015, National Inspection Plan: Domestic Waste Water Treatment Systems: Inspection Data Report 1st July 2013 - 31st December 2014
   EPA, 2013, NAT INSP PLAN 2013 D
   Garvey P, 2016, EPIDEMIOL INFECT, V144, P917, DOI 10.1017/S0950268815002034
   Griffin RJ, 2000, HEALTH COMMUN, V12, P81, DOI 10.1207/S15327027HC1201_05
   Howlett M, 2009, J COMP POLICY ANAL, V11, P33, DOI 10.1080/13876980802648144
   Hynds P, 2014, J CONTAM HYDROL, V159, P47, DOI 10.1016/j.jconhyd.2014.02.001
   Hynds PD, 2013, J ENVIRON MANAGE, V127, P278, DOI 10.1016/j.jenvman.2013.05.025
   Hynds PD, 2012, WATER RESOUR RES, V48, DOI 10.1029/2012WR012492
   Kelly-Quinn M, 2014, ECOL SOC, V19, DOI 10.5751/ES-06921-190410
   Kinsella S, 2012, CAMB J ECON, V36, P223, DOI 10.1093/cje/ber032
   Lo AY, 2015, APPL GEOGR, V64, P1, DOI 10.1016/j.apgeog.2015.08.003
   Mankad A, 2012, ENVIRON INT, V44, P128, DOI 10.1016/j.envint.2012.01.002
   Muro Melanie, 2012, Journal of Environmental Assessment Policy and Management, V14, P1250010, DOI 10.1142/S146433321250010X
   Naughton O, 2014, J HYDROL, V518, P108, DOI 10.1016/j.jhydrol.2013.08.049
   O'Neill E, 2016, RISK ANAL, V36, P2158, DOI 10.1111/risa.12597
   O'Sullivan S, 2014, IRISH POLIT STUD, V29, P547, DOI 10.1080/07907184.2014.942645
   OhAiseadha C., 2017, EPIDEMIOL I IN PRESS
   Paul MP, 2015, J ENVIRON HEALTH, V78, P30
   Raaijmakers R, 2008, NAT HAZARDS, V46, P307, DOI 10.1007/s11069-007-9189-z
   Rowe G, 2005, SCI TECHNOL HUM VAL, V30, P251, DOI 10.1177/0162243904271724
   Scolobig A, 2012, NAT HAZARDS, V63, P499, DOI 10.1007/s11069-012-0161-1
   Scott M, 2009, HOUSING STUD, V24, P755, DOI 10.1080/02673030903223138
NR 35
TC 7
Z9 8
U1 1
U2 28
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 0022-1694
EI 1879-2707
J9 J HYDROL
JI J. Hydrol.
PD MAR
PY 2018
VL 558
BP 205
EP 213
DI 10.1016/j.jhydrol.2018.01.041
PG 9
WC Engineering, Civil; Geosciences, Multidisciplinary; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Geology; Water Resources
GA FZ1LU
UT WOS:000427338900017
DA 2025-01-10
ER

PT J
AU Ullah, W
   Nihei, T
   Nafees, M
   Zaman, R
   Ali, M
AF Ullah, Wahid
   Nihei, Takaaki
   Nafees, Muhammad
   Zaman, Rahman
   Ali, Muhammad
TI Understanding climate change vulnerability, adaptation and risk
   perceptions at household level in Khyber Pakhtunkhwa, Pakistan
SO INTERNATIONAL JOURNAL OF CLIMATE CHANGE STRATEGIES AND MANAGEMENT
LA English
DT Article
DE Pakistan; Vulnerability; Climate change; Adaptation; Agriculture
ID EXTREME WEATHER EVENTS; FARMERS PERCEPTIONS; STRATEGIES; PROVINCE;
   IMPACTS; PUNJAB
AB Purpose This study aims to investigate risks associated with climate change vulnerability and in response the adaptation methods used by farming communities to reduce its negative impacts on agriculture in Pakistan.
   Design/methodology/approach The study used the household survey method of to collect data collected in Charsadda district of Khyber Pakhtunkhwa province, involving 116 randomly selected respondents.
   Findings Prevalent crops diseases, water scarcity, soil fertility loss and poor socio-economic conditions were main contributing factors of climate change vulnerability. The results further showed that changing crops type and cultivation pattern, improved seed varieties, planting shaded trees and the provision of excessive fertilizers are the measures adapted to improve agricultural productivity, which may reduce the climate change vulnerability at a household level.
   Research limitations/implications The major limitation of this study was the exclusion of women from the survey due to religious and cultural barriers of in Pashtun society, wherein women and men do not mingle.
   Practical implications Reducing climate change vulnerability and developing more effective adaptation techniques require assistance from the government. This help can be in the form of providing basic resources, such as access to good quality agricultural inputs, access to information and extension services on climate change adaptation and modern technologies. Consultation with other key stakeholder is also required to create awareness and to build the capacity of the locals toward reducing climate change vulnerability and facilitating timely and effective adaptation.
   Originality/value This original research work provides evidence about farm-level vulnerability, adaptation strategies and risk perceptions on dealing with climate-change-induced natural disasters in Pakistan. This paper enriches existing knowledge of climate change vulnerability and adaptation in this resource-limited country so that effective measures can be taken to reduce vulnerability of farming communities, and enhance their adaptive capability.
C1 [Ullah, Wahid; Nihei, Takaaki] Hokkaido Univ, Grad Sch Letters, Dept Reg Geog, Sapporo, Hokkaido, Japan.
   [Nafees, Muhammad; Zaman, Rahman; Ali, Muhammad] Univ Peshawar, Dept Environm Sci, Peshawar, Pakistan.
C3 Hokkaido University; University of Peshawar
RP Ullah, W (corresponding author), Hokkaido Univ, Grad Sch Letters, Dept Reg Geog, Sapporo, Hokkaido, Japan.
EM waheedullah@live.in; ntakaaki@pb3.so-net.ne.jp; nafees@upesh.edu.pk;
   rahmanzaman13@yahoo.com; khanalman146@gmail.com
RI Mohammad, Nafees/J-4769-2019; ullah, wahid/O-3782-2018
OI Mohammad, Nafees/0000-0002-8717-8092; ullah, wahid/0000-0001-9370-133X;
   Nihei, Takaaki/0000-0001-6778-2148
FU Research Promotion Office of the Graduate School of Letters, Hokkaido
   University
FX This study is part of PhD research at the Department of Regional
   Geography, Graduate School of Letters, Hokkaido University, Japan. The
   authors gratefully acknowledge the funding provided by the Research
   Promotion Office of the Graduate School of Letters, Hokkaido University.
   They also extend their gratitude to the local community in Charsadda
   district, who gave their precious time for interviews and to Syed Aziz
   ur-Rehman and Muhammad Khurshid for their help in designing the HHS
   questionnaire. Finally, the authors highly appreciate the suggestions
   and guidance of the anonymous reviewers, which greatly improved clarity
   and substance of this paper.
CR Abid M, 2015, EARTH SYST DYNAM, V6, P225, DOI 10.5194/esd-6-225-2015
   Abid M, 2016, SCI TOTAL ENVIRON, V547, P447, DOI 10.1016/j.scitotenv.2015.11.125
   Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Adger W. N., 1999, MITIG ADAPT STRAT GL, V4, P253
   Ahmad M, 2013, Climate change brief
   Ali A, 2017, CLIM RISK MANAG, V16, P183, DOI 10.1016/j.crm.2016.12.001
   Ali S., 2013, GROUNDWATER DEPLETIO
   [Anonymous], 2013, GLOBAL CLIMATE RISK
   [Anonymous], 2014, 002 IFPRI PSSP
   [Anonymous], 2003, CLIMATE CHANGE ADAPT, DOI DOI 10.1142/P298
   [Anonymous], 2014, At Risk: Natural Hazards, People's Vulnerability and Disasters
   [Anonymous], 2012, WORKING PAPER SERIES
   Asif M., 2013, THESIS
   Atta-ur-Rahman, 2013, NAT HAZARDS, V66, P887, DOI 10.1007/s11069-012-0528-3
   Atta-ur-Rahman, 2011, NAT HAZARDS, V59, P1239, DOI 10.1007/s11069-011-9830-8
   Baig A., 2014, PAKISTAN BUS REV, V15, P600
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Bogner A, 2009, RES METHODS SER, P1
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Bukhari M., 2011, PAKISTAN VISION, V12, P236
   Cardona O. D., 2003, EXP M DIS RISK CONC
   Daze A., 2011, CARE POVERTY, P1
   Deressa TT, 2011, J AGR SCI-CAMBRIDGE, V149, P23, DOI 10.1017/S0021859610000687
   Deressa TT, 2009, GLOBAL ENVIRON CHANG, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Eakin H., 2003, CTR US MEXICAN STUDI
   Forrester DI, 2010, FOREST ECOL MANAG, V259, P1761, DOI 10.1016/j.foreco.2009.07.036
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Greenough G, 2001, ENVIRON HEALTH PERSP, V109, P191, DOI 10.2307/3435009
   Hay J, 2010, GEOMAT NAT HAZ RISK, V1, P3, DOI 10.1080/19475701003643433
   Huq S, 2004, CLIM POLICY, V4, P25
   Hussain SS, 2007, AGR SYST, V94, P494, DOI 10.1016/j.agsy.2006.12.001
   IUCN, 2009, CLIM CHANG VULN AGR
   Jigyasu R., 2012, The Handbook of Hazards and Disaster Risk Reduction and Management, P580, DOI 10.4324/9780203844236
   Kelly PM, 2000, CLIMATIC CHANGE, V47, P325, DOI 10.1023/A:1005627828199
   Khan A.N., 2013, Journal of Managerial Sciences, V7
   Khan FA, 2012, INT J DISAST RISK SC, V3, P163, DOI 10.1007/s13753-012-0017-z
   Khan M.A., 2012, PAK J PAK STUD, V4, P49
   Khan R.A., 1994, VIEW NWFP AGR, P1
   Maheen H., 2017, PLoS Currents, V9, DOI 10.1371/currents.dis.7285361a16eefbeddacc8599f326a1dd
   Malik S, 2012, THESIS
   Mendelsohn R., 2001, Global Warming and the American Economy
   Mertz O, 2009, ENVIRON MANAGE, V43, P804, DOI 10.1007/s00267-008-9197-0
   Mirza MMQ, 2003, CLIM POLICY, V3, P233, DOI 10.1016/S1469-3062(03)00052-4
   Moser CON, 1998, WORLD DEV, V26, P1, DOI 10.1016/S0305-750X(97)10015-8
   Mueller V, 2014, NAT CLIM CHANGE, V4, P182, DOI [10.1038/nclimate2103, 10.1038/NCLIMATE2103]
   Mustafa D, 2002, ENVIRON PLANN D, V20, P737, DOI 10.1068/d338
   Mustafa D, 1998, ECON GEOGR, V74, P289, DOI 10.2307/144378
   Qasim S, 2015, INT J DISAST RISK RE, V14, P373, DOI 10.1016/j.ijdrr.2015.09.001
   Rafiq L, 2012, GEOMAT NAT HAZ RISK, V3, P324, DOI 10.1080/19475705.2011.626083
   Rasul G., 2012, Pakistan journal of meteorology, V8
   Roncoli C, 2002, SOC NATUR RESOUR, V15, P409, DOI 10.1080/08941920252866774
   Saif-Ur-Rehman SA., 2013, Int J Environ Ecol, V3, P1
   Shahzada H., 2012, J HIMALAYAN EARTH SC, V45
   Ullah R, 2015, INT J DISAST RISK RE, V13, P151, DOI 10.1016/j.ijdrr.2015.05.005
   van Aalst MK, 2006, DISASTERS, V30, P5, DOI 10.1111/j.1467-9523.2006.00303.x
   WATTS MJ, 1993, PROG HUM GEOG, V17, P43, DOI 10.1177/030913259301700103
   Yousaf S., 2013, J HUMANITIES SOCIAL, V21, P81
NR 57
TC 52
Z9 52
U1 1
U2 32
PU EMERALD GROUP PUBLISHING LTD
PI BINGLEY
PA HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND
SN 1756-8692
EI 1756-8706
J9 INT J CLIM CHANG STR
JI Int. J. Clim. Chang. Strateg. Manag.
PY 2018
VL 10
IS 3
BP 359
EP 378
DI 10.1108/IJCCSM-02-2017-0038
PG 20
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA GD0LE
UT WOS:000430191500002
DA 2025-01-10
ER

PT J
AU Verberk, WCEP
   Durance, I
   Vaughan, IP
   Ormerod, SJ
AF Verberk, Wilco C. E. P.
   Durance, Isabelle
   Vaughan, Ian P.
   Ormerod, Steve J.
TI Field and laboratory studies reveal interacting effects of stream
   oxygenation and warming on aquatic ectotherms
SO GLOBAL CHANGE BIOLOGY
LA English
DT Article
DE climate change; hypoxia; insects; multiple stressors; pollution;
   streams; temperature; thermal tolerance
ID CLIMATE-CHANGE; THERMAL TOLERANCE; WATER TEMPERATURES; LIMITATION;
   MACROINVERTEBRATES; QUALITY; INVERTEBRATES; POPULATIONS; PERFORMANCE;
   ECOSYSTEMS
AB Aquatic ecological responses to climatic warming are complicated by interactions between thermal effects and other environmental stressors such as organic pollution and hypoxia. Laboratory experiments have demonstrated how oxygen limitation can set heat tolerance for some aquatic ectotherms, but only at unrealistic lethal temperatures and without field data to assess whether oxygen shortages might also underlie sublethal warming effects. Here, we test whether oxygen availability affects both lethal and nonlethal impacts of warming on two widespread Eurasian mayflies, Ephemera danica, Muller 1764 and Serratella ignita (Poda 1761). Mayfly nymphs are often a dominant component of the invertebrate assemblage in streams, and play a vital role in aquatic and riparian food webs. In the laboratory, lethal impacts of warming were assessed under three oxygen conditions. In the field, effects of oxygen availability on nonlethal impacts of warming were assessed from mayfly occurrence in 42293 UK stream samples where water temperature and biochemical oxygen demand were measured. Oxygen limitation affected both lethal and sublethal impacts of warming in each species. Hypoxia lowered lethal limits by 5.5 degrees C (+/- 2.13) and 8.2 degrees C (+/- 0.62) for E.danica and S.ignita respectively. Field data confirmed the importance of oxygen limitation in warmer waters; poor oxygenation drastically reduced site occupancy, and reductions were especially pronounced under warm water conditions. Consequently, poor oxygenation lowered optimal stream temperatures for both species. The broad concordance shown here between laboratory results and extensive field data suggests that oxygen limitation not only impairs survival at thermal extremes but also restricts species abundance in the field at temperatures well below upper lethal limits. Stream oxygenation could thus control the vulnerability of aquatic ectotherms to global warming. Improving water oxygenation and reducing pollution can provide key facets of climate change adaptation for running waters.
C1 [Verberk, Wilco C. E. P.] Radboud Univ Nijmegen, Dept Anim Ecol & Physiol, Heyendaalseweg 135, NL-6525 AJ Nijmegen, Netherlands.
   [Durance, Isabelle; Vaughan, Ian P.; Ormerod, Steve J.] Cardiff Univ, Cardiff Sch Biosci, Catchment Res Grp, Cardiff CF10 3AX, S Glam, Wales.
C3 Radboud University Nijmegen; Cardiff University
RP Verberk, WCEP (corresponding author), Radboud Univ Nijmegen, Dept Anim Ecol & Physiol, Heyendaalseweg 135, NL-6525 AJ Nijmegen, Netherlands.
EM wilco@aquaticecology.nl
RI Verberk, Wilco/E-6337-2011; Durance, Isabelle/F-4487-2010; Vaughan,
   Ian/A-4782-2010; Ormerod, Stephen J/A-4326-2010
OI Vaughan, Ian/0000-0002-7263-3822; Durance, Isabelle/0000-0002-4138-3349;
   Ormerod, Stephen J/0000-0002-8174-302X; Verberk,
   Wilco/0000-0002-0691-583X
FU Marie Curie FP7 Integration Grant within 7th European Union Framework
   Programme [334048]; NERC DURESS project [NE/J014818/1]; EU MARS project
   under 7th Framework Programme [603378]; NERC [NE/J014818/1] Funding
   Source: UKRI
FX WCEPV gratefully acknowledges financial support from a Marie Curie FP7
   Integration Grant within the 7th European Union Framework Programme
   (FP7-PEOPLE-2012-CIG Proposal No. 334048). We are grateful also to the
   Environment Agency (Bristol, UK) and Natural Resources Wales (Cardiff,
   UK), for generously providing the field data. ID, SJO and IV also
   acknowledge funding from the NERC DURESS project NE/J014818/1 and the EU
   MARS project under the 7th Framework Programme (Contract No. 603378).
CR [Anonymous], FRESHWATER ECOLOGY
   [Anonymous], Z ALLGEMEINE PHYSL
   [Anonymous], RIV EST DEC IMPR GEN
   [Anonymous], FBA SCI PUBLICATION
   Bartolini F, 2013, GLOBAL CHANGE BIOL, V19, P373, DOI 10.1111/gcb.12050
   Bennett Cyril, 2007, Freshwater Forum, V27, P3
   Broadmeadow SB, 2011, RIVER RES APPL, V27, DOI 10.1002/rra.1354
   Camp AA, 2014, FRESHW SCI, V33, P695, DOI 10.1086/677899
   Carpenter SR, 2011, ANNU REV ENV RESOUR, V36, P75, DOI 10.1146/annurev-environ-021810-094524
   Clews E, 2010, GLOBAL CHANGE BIOL, V16, P3271, DOI 10.1111/j.1365-2486.2010.02211.x
   Dejours P., 1981, PRINCIPLES COMP RESP
   Diaz RJ, 1995, OCEANOGR MAR BIOL, V33, P245
   Domisch S, 2011, FRESHWATER BIOL, V56, P2009, DOI 10.1111/j.1365-2427.2011.02631.x
   Dudgeon D, 2006, BIOL REV, V81, P163, DOI 10.1017/S1464793105006950
   Durance I, 2009, FRESHWATER BIOL, V54, P388, DOI 10.1111/j.1365-2427.2008.02112.x
   Durance I, 2007, GLOBAL CHANGE BIOL, V13, P942, DOI 10.1111/j.1365-2486.2007.01340.x
   Durance I, 2016, ADV ECOL RES, V54, P87, DOI 10.1016/bs.aecr.2015.10.003
   Durance I, 2010, J N AM BENTHOL SOC, V29, P1367, DOI 10.1899/09-159.1
   Eliason EJ, 2011, SCIENCE, V332, P109, DOI 10.1126/science.1199158
   Frederich M, 2000, AM J PHYSIOL-REG I, V279, pR1531, DOI 10.1152/ajpregu.2000.279.5.R1531
   Galbraith HS, 2010, BIOL CONSERV, V143, P1175, DOI 10.1016/j.biocon.2010.02.025
   Giomi F, 2014, P ROY SOC B-BIOL SCI, V281, DOI 10.1098/rspb.2013.2927
   Hawkes HA, 1998, WATER RES, V32, P964, DOI 10.1016/S0043-1354(97)00275-3
   Isaak DJ, 2013, GLOBAL CHANGE BIOL, V19, P742, DOI 10.1111/gcb.12073
   Jaeger KL, 2014, P NATL ACAD SCI USA, V111, P13894, DOI 10.1073/pnas.1320890111
   Jenny JP, 2016, GLOBAL CHANGE BIOL, V22, P1481, DOI 10.1111/gcb.13193
   KNIGHT ALLEN W., 1964, PROC UTAH ACAD SCI ARTS LETTERS, V41, P14
   Koopman KR, 2016, HYDROBIOLOGIA, V763, P301, DOI 10.1007/s10750-015-2386-y
   Lutterschmidt WI, 1997, CAN J ZOOL, V75, P1561, DOI 10.1139/z97-783
   Malcolm IA, 2008, HYDROL PROCESS, V22, P968, DOI 10.1002/hyp.6996
   Malmqvist B, 2002, FRESHWATER BIOL, V47, P679, DOI 10.1046/j.1365-2427.2002.00895.x
   Moran R, 2010, FRESHWATER BIOL, V55, P315, DOI 10.1111/j.1365-2427.2009.02276.x
   Nakano S, 2001, P NATL ACAD SCI USA, V98, P166, DOI 10.1073/pnas.98.1.166
   Ormerod SJ, 2010, FRESHWATER BIOL, V55, P1, DOI 10.1111/j.1365-2427.2009.02395.x
   Piggott JJ, 2015, GLOBAL CHANGE BIOL, V21, P1887, DOI 10.1111/gcb.12861
   Pörtner HO, 2010, J EXP BIOL, V213, P881, DOI 10.1242/jeb.037523
   Pörtner HO, 2007, SCIENCE, V315, P95, DOI 10.1126/science.1135471
   Pörtner HO, 2006, POLAR BIOL, V29, P688, DOI 10.1007/s00300-005-0106-1
   Postel S., 1997, Nature's services: societal dependence on natural ecosystems., P195
   Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   Rezende EL, 2014, FUNCT ECOL, V28, P799, DOI 10.1111/1365-2435.12268
   Rosenberg D.M., 1993, INTRO FRESHWATER BIO
   ROSILLON D, 1988, CAN J ZOOL, V66, P1474, DOI 10.1139/z88-214
   Sorensen C, 2014, GLOBAL CHANGE BIOL, V20, P724, DOI 10.1111/gcb.12399
   STATZNER B, 1982, OECOLOGIA, V53, P290, DOI 10.1007/BF00389001
   Statzner B, 2012, GEOMORPHOLOGY, V157, P49, DOI 10.1016/j.geomorph.2011.03.022
   SWEENEY BW, 1982, EVOLUTION, V36, P810, DOI 10.1111/j.1558-5646.1982.tb05447.x
   Thomas SM, 2016, GLOBAL CHANGE BIOL, V22, P310, DOI 10.1111/gcb.13103
   Vaughan I. P., 2012, River conservation and management, P79
   Vaughan IP, 2014, GLOBAL CHANGE BIOL, V20, P2725, DOI 10.1111/gcb.12616
   Vaughan IP, 2012, GLOBAL CHANGE BIOL, V18, P2184, DOI 10.1111/j.1365-2486.2012.02662.x
   Verberk WCEP, 2013, INTEGR COMP BIOL, V53, P609, DOI 10.1093/icb/ict015
   Verberk WCEP, 2016, COMP BIOCHEM PHYS A, V192, P64, DOI 10.1016/j.cbpa.2015.10.020
   Verberk WCEP, 2015, J EXP BIOL, V218, P2083, DOI 10.1242/jeb.119560
   Verberk WCEP, 2013, BIOL LETTERS, V9, DOI 10.1098/rsbl.2013.0473
   Verberk WCEP, 2013, FUNCT ECOL, V27, P1275, DOI 10.1111/1365-2435.12152
   Verberk WCEP, 2012, J THERM BIOL, V37, P224, DOI 10.1016/j.jtherbio.2012.01.004
   Verberk WCEP, 2011, ECOLOGY, V92, P1565, DOI 10.1890/10-2369.1
   Verberk WCEP, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0022610
   Verberk WCEP, 2010, J ANIM ECOL, V79, P589, DOI 10.1111/j.1365-2656.2010.01660.x
   Vörösmarty CJ, 2010, NATURE, V467, P555, DOI 10.1038/nature09440
   Webb BW, 1999, HYDROL PROCESS, V13, P309, DOI 10.1002/(SICI)1099-1085(19990228)13:3<309::AID-HYP740>3.0.CO;2-7
   Whitney RJ, 1939, J EXP BIOL, V16, P374
   Woods HA, 2009, P R SOC B, V276, P1069, DOI 10.1098/rspb.2008.1489
   WOOTTON JT, 1993, P NATL ACAD SCI USA, V90, P1384, DOI 10.1073/pnas.90.4.1384
NR 65
TC 105
Z9 111
U1 2
U2 141
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1354-1013
EI 1365-2486
J9 GLOBAL CHANGE BIOL
JI Glob. Change Biol.
PD MAY
PY 2016
VL 22
IS 5
BP 1769
EP 1778
DI 10.1111/gcb.13240
PG 10
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA DH9QL
UT WOS:000373130700008
PM 26924811
OA hybrid, Green Published, Green Accepted
DA 2025-01-10
ER

PT J
AU Venkatesh, G
   Saegrov, S
   Brattebo, H
AF Venkatesh, G.
   Saegrov, Sueinung
   Brattebo, Helge
TI Dynamic metabolism modelling of urban water services - Demonstrating
   effectiveness as a decision-support tool for Oslo, Norway
SO WATER RESEARCH
LA English
DT Article
DE Urban water services; Urban metabolism; Sustainability; Environmental
   impacts; Life cycle assessment; Dynamic modelling
ID ENERGY-CONSUMPTION; ENVIRONMENT; MANAGEMENT; CHEMICALS; SYSTEMS
AB Urban water services are challenged from many perspectives and different stakeholders demand performance improvements along economic, social and environmental dimensions of sustainability. In response, urban water utilities systematically give more attention to criteria such as water safety, climate change adaptation and mitigation, environmental life cycle assessment (LCA), total cost efficiency, and on how to improve their operations within the water-energy-carbon nexus. The authors of this paper collaborated in the development of a 'Dynamic Metabolism Model' (DMM). The model is developed for generic use in the sustainability assessment of urban water services, and it has been initially tested for the city of Oslo, Norway. The purpose has been to adopt a holistic systemic perspective to the analysis of metabolism and environmental impacts of resource flows in urban water and wastewater systems, in order to offer a tool for the examination of future strategies and intervention options in such systems. This paper describes the model and its application to the city of Oslo for the analysis time period 2013-2040. The external factors impacting decision-making and interventions are introduced along with realistic scenarios developed for the testing, after consultation with officials at the Oslo Water and Wastewater Works (Norway). Possible interventions that the utility intends to set in motion are defined and numerically interpreted for incorporation into the model, and changes in the indicator values over the time period are determined. This paper aims to demonstrate the effectiveness and usefulness of the DMM, as a decision-support tool for water-wastewater utilities. The scenarios considered and interventions identified do not include all possible scenarios and interventions that can be relevant for water-wastewater utilities. (C) 2014 Elsevier Ltd. All rights reserved.
C1 [Venkatesh, G.; Saegrov, Sueinung] Norwegian Univ Sci & Technol, Dept Hydraul & Environm Engn, N-7491 Trondheim, Norway.
   [Brattebo, Helge] Norwegian Univ Sci & Technol, Dept Energy & Proc Engn, Ind Ecol Programme, N-7491 Trondheim, Norway.
C3 Norwegian University of Science & Technology (NTNU); Norwegian
   University of Science & Technology (NTNU)
RP Venkatesh, G (corresponding author), Norwegian Univ Sci & Technol, Dept Hydraul & Environm Engn, SP Andresens V 5, N-7491 Trondheim, Norway.
EM venkatesh.govindarajan@ntnu.no; sveinung.sagrov@ntnu.no;
   gelge.brattebo@ntnu.no
OI Brattebo, Helge/0000-0001-8095-1663
FU European Union Seventh Framework Programme (FP7) [265122]; EU
FX The authors would wish to thank Lars Hem, Arnhild Krogh and Rashid Abdi
   Elmi, inter alia, of the Oslo water and wastewater utility for their
   help and support. Thanks also to Rita Ugarelli of NTNU/SINTEF for her
   help. The research leading to these results has received funding from
   the European Union Seventh Framework Programme (FP7/2007-2013) under
   grant agreement no 265122. The authors also acknowledge this support
   from the EU.
CR [Anonymous], 2010, 2005282 CMIT CSIRO
   [Anonymous], 2010, ANAL URBAN CHANGE TH
   [Anonymous], 2004, Practical Handbook of Material Flow Analysis
   Barles S, 2010, J ENVIRON PLANN MAN, V53, P439, DOI 10.1080/09640561003703772
   Beck MB, 2010, P I CIVIL ENG-ENG SU, V163, P31, DOI 10.1680/ensu.2010.163.1.31
   Binder CR, 2007, J CLEAN PROD, V15, P1605, DOI 10.1016/j.jclepro.2006.08.017
   Brattebo H, 2009, BUILD RES INF, V37, P569, DOI 10.1080/09613210903186901
   Elmi R., 2014, BOOK CHAPTER SEWAGE
   Harremoes P, 1998, WATER SCI TECHNOL, V37, P1, DOI 10.1016/S0273-1223(98)00264-9
   Hem L., 2013, COMMUNICATION
   Kennedy C, 2011, ENVIRON POLLUT, V159, P1965, DOI 10.1016/j.envpol.2010.10.022
   Mackay R, 2010, REV ENVIRON SCI BIO, V9, P291, DOI 10.1007/s11157-010-9225-4
   Makropoulos CK, 2008, ENVIRON MODELL SOFTW, V23, P1448, DOI 10.1016/j.envsoft.2008.04.010
   Mitchell VG, 2001, ENVIRON MODELL SOFTW, V16, P615, DOI 10.1016/S1364-8152(01)00029-9
   Oslo VAV, 2013, HOV AVL VANNM
   Paus R., 2012, KVU VANNFORSYNING OS
   Venkatesh G, 2012, J IND ECOL, V16, P722, DOI 10.1111/j.1530-9290.2011.00426.x
   Venkatesh G, 2012, WATER SCI TECH-W SUP, V12, P200, DOI 10.2166/ws.2012.127
   Venkatesh G, 2011, URBAN WATER J, V8, P189, DOI 10.1080/1573062X.2011.581297
   Venkatesh G, 2011, ENERGY, V36, P792, DOI 10.1016/j.energy.2010.12.040
   Venkatesh G, 2009, J IND ECOL, V13, P532, DOI 10.1111/j.1530-9290.2009.00143.x
   Venkatesh G., 2011, Thesis for the degree of Philosophiae Doctor. Norwegian University of science and technology
   Venkatesh G., 2011, NORWAY WATER SCI TEC, V63, P1018
NR 23
TC 31
Z9 33
U1 2
U2 106
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0043-1354
J9 WATER RES
JI Water Res.
PD SEP 15
PY 2014
VL 61
BP 19
EP 33
DI 10.1016/j.watres.2014.05.004
PG 15
WC Engineering, Environmental; Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology; Water Resources
GA AN1IQ
UT WOS:000340336300002
PM 24880242
DA 2025-01-10
ER

PT J
AU Park, S
   Howden, M
   Crimp, S
AF Park, Sarah
   Howden, Mark
   Crimp, Steven
TI Informing regional level policy development and actions for increased
   adaptive capacity in rural livelihoods
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Sustainable Livelihoods; Public Value Mapping; Vulnerability; Policy
   relevance; Climate change; Pacific
ID CLIMATE-CHANGE; VULNERABILITY; CHALLENGES
AB Hazard impact assessments of vulnerability to climate change inherently fail to provide the context-specific understanding required to precipitate informed development of adaptation policies and actions. We demonstrate how this can occur by comparing a stakeholder participatory approach to assessing rural livelihood vulnerability across Pacific Island countries, with a widely used non-contextual approach, the Environmental Vulnerability Climate Change sub-index. The participatory approach was conducted in collaboration with a group of regional Pacific representatives. The approach included three activities: (i) producing a shared vision of the characteristics of vulnerability, (ii) estimating the relative vulnerability and capacity to adapt of Pacific Island communities using the Sustainable Livelihoods conceptual framework, and (iii) producing a post-hoc perspective of desirable policy-relevant outcomes to enhance adaptive capacity using Public Values Mapping analysis.
   The comparison of outputs derived from the two vulnerability assessment methods highlighted two notable differences: (i) different rankings of the vulnerability status of rural livelihoods in individual Pacific island countries, and (ii) differing capacities to support the delivery of action-orientated outputs and policy development. We argue that the participatory approach is more likely to result in effective policy outcomes, i.e. a reduction in the policy relevance gap and increased capacity to adapt. We substantiate this argument by attempting to create policy relevant outcomes from both vulnerability approaches. We show that the three-stage participatory approach is more able to satisfy the demand for decision-making processes relating to the allocation of climate change adaptation resources to be transparent and based on scientific evidence, as well as delivering outcomes that are in the public's interest. Output from the Environmental Vulnerability Climate Change sub-index was considered inadequate to effectively inform the development of policies and adaptation actions to reduce vulnerability in rural livelihoods. Crown Copyright (C) 2011 Published by Elsevier Ltd. All rights reserved.
C1 [Park, Sarah; Howden, Mark; Crimp, Steven] CSIRO Ecosyst Sci Climate Adaptat Flagship, Acton, ACT 2601, Australia.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO)
RP Park, S (corresponding author), CSIRO Ecosyst Sci Climate Adaptat Flagship, GPO Box 1700,Clunies Ross St, Acton, ACT 2601, Australia.
EM sarah.park@csiro.au
RI Crimp, Steven/D-6995-2011; Howden, Stuart/C-1138-2008
OI Howden, Stuart/0000-0002-0386-9671
FU AusAID
FX Thanks go to all internal and external reviewers for their insightful
   and useful comments on this paper. Thanks also go to AusAID for funding
   and all participants at the workshop.
CR Adger W.N. a N.B., 2003, NATURAL DISASTERS DE, P19
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   [Anonymous], 2009, Trans. Am. Geophys. Union, DOI DOI 10.1029/2009EO130003
   [Anonymous], 1999, SOPAC TECH REP
   [Anonymous], 2008, CLIM CHANG FOOD SEC
   [Anonymous], 2007, The Honest Broker: Making Sense of Science in Policy and Politics
   Ashley C., 1999, SUSTAINABLE LIVELIHO
   AusAID, 2006, PAC 2020 CHALL OPP G, P163
   Barnett J, 2001, WORLD DEV, V29, P977, DOI 10.1016/S0305-750X(01)00022-5
   Bebbington A, 1999, WORLD DEV, V27, P2021, DOI 10.1016/S0305-750X(99)00104-7
   Boulton S., 2001, Poverty: Bridging the gap
   Bozeman B., 2005, Science and Public Policy, V32, P119, DOI [DOI 10.3152/147154305781779588, 10.3152/147154305781779588]
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Brown PR, 2010, AGR SYST, V103, P562, DOI 10.1016/j.agsy.2010.06.004
   Buchy M., 2001, Journal of Environmental Planning and Management, V44, P293, DOI 10.1080/09640560120046070
   Bueno PB, 2008, AM FISH S S, V64, P309
   Carney D., 1998, SUSTAINABLE RURAL LI
   CARNEY D, 2002, SUSTAINABLE LIVELIHO, P67
   CHAMBERS R, 1994, WORLD DEV, V22, P1437, DOI 10.1016/0305-750X(94)90030-2
   Charlesworth M, 2010, GLOBAL ENVIRON CHANG, V20, P121, DOI 10.1016/j.gloenvcha.2009.09.001
   Chenoweth J, 2008, WATER INT, V33, P5, DOI 10.1080/02508060801927994
   Christensen JH, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P847
   Dasgupta P, 2010, PHILOS T R SOC B, V365, P5, DOI 10.1098/rstb.2009.0231
   DFID, 2000, ISS LIV AN SUST LIV
   Ellis F., 2000, RURAL LIVELIHOODS DI, DOI DOI 10.1093/OSO/9780198296959.001.0001
   Eriksen S., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P495, DOI [10.1007/s11027-006-3460-6, DOI 10.1007/S11027-006-3460-6]
   Farrington J., 1999, NATURAL RESOURCE PER, V42
   Feeny S, 2010, PAC ECON BULL, V25, P131
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   Gilling J., 2001, Development Policy Review, V19, P303, DOI 10.1111/1467-7679.00136
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Hammill A., 2005, Tropical forests and adaptation to climate change: in search of synergies. Adaptation to climate change, sustainable livelihoods and biological diversity, Turrialba, Costa Rica, March 2004., P71
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   *IISD, 2000, COMP GLOB DIR IND IN
   JESSAMY VR, 2003, 0306 EDM U E ANGL CT
   Kaly U. L., 2004, SOPAC Technical Report, 384
   Kelly PM, 2000, CLIMATIC CHANGE, V47, P325, DOI 10.1023/A:1005627828199
   Khan I.A., 2005, MAKING LIVING LIVELI, pxxvii
   Lindholm O, 2007, ECOL INDIC, V7, P71, DOI 10.1016/j.ecolind.2005.10.002
   Meinke H, 2006, CLIM RES, V33, P101, DOI 10.3354/cr033101
   Mimura N, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P687
   Nelson R., 2005, Australian Commodities, V12, P171
   Nelson R, 2010, ENVIRON SCI POLICY, V13, P8, DOI 10.1016/j.envsci.2009.09.006
   Nelson R, 2010, ENVIRON SCI POLICY, V13, P18, DOI 10.1016/j.envsci.2009.09.007
   Nunn PD, 2009, CLIM RES, V40, P211, DOI 10.3354/cr00806
   Park SE, 2010, CROP SCI, V50, pS132, DOI 10.2135/cropsci2009.10.0566
   Parry M.L., 2007, IPCC Climate Change 2007: Impacts, Adaptation and Vulnerability
   PEARSON L, 2008, 081 CSIRO
   Pielke R, 2007, NATURE, V445, P597, DOI 10.1038/445597a
   Rahmstorf S, 2007, SCIENCE, V316, P709, DOI 10.1126/science.1136843
   Relly JE, 2009, GOV INFORM Q, V26, P148, DOI 10.1016/j.giq.2008.04.002
   Ribot J, 2010, NEW FRONT SOC POLICY, P47
   Richardson Katherine., 2009, SYNTHESIS REPORT CLI
   Sarewitz D, 2007, ENVIRON SCI POLICY, V10, P5, DOI 10.1016/j.envsci.2006.10.001
   Scoones I., 1998, 72 IDS
   Sen A.K., 1984, RESOURCEES VALUES DE
   Sen A.K., 1981, POVERTY FAMINES
   Sullivan C, 2006, WATER INT, V31, P412, DOI 10.1080/02508060608691942
NR 59
TC 29
Z9 36
U1 2
U2 46
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 1462-9011
EI 1873-6416
J9 ENVIRON SCI POLICY
JI Environ. Sci. Policy
PD JAN
PY 2012
VL 15
IS 1
BP 23
EP 37
DI 10.1016/j.envsci.2011.09.004
PG 15
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 906DV
UT WOS:000301326000004
DA 2025-01-10
ER

PT J
AU Dougill, AJ
   Fraser, EDG
   Reed, MS
AF Dougill, Andrew J.
   Fraser, Evan D. G.
   Reed, Mark S.
TI Anticipating Vulnerability to Climate Change in Dryland Pastoral
   Systems: Using Dynamic Systems Models for the Kalahari
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE Botswana; climate change; drought sensitivity; dynamic systems
   modelling; Kalahari; pastoral farming; vulnerability pathways
ID ENVIRONMENTAL-CHANGE; DEGRADATION ASSESSMENT; VEGETATION DYNAMICS; LAND
   DEGRADATION; FOOD SYSTEMS; FRAMEWORK; BOTSWANA; SCIENCE; NAMIBIA;
   SUSTAINABILITY
AB It is vitally important to identify agroecosystems that may cease functioning because of changing climate or land degradation. However, identifying such systems is confounded on both conceptual and methodological grounds, especially in systems that are moving toward thresholds, a common trait of dryland environments. This study explores these challenges by analyzing how a range of external pressures affect the vulnerability of dryland pastoral systems in the Kalahari. This is achieved by employing dynamic systems modeling approaches to understand the pathways by which communities became vulnerable to drought. Specifically, we evaluate how external pressures have changed: (1) different agroecosystems' abilities to tolerate drought, i.e., ecosystem resilience; (2) rural communities' abilities to adapt to drought, mediated via their access to assets; and (3) the ability of institutions and policy interventions to play a role in mediating drought-related crises, i.e., socio-political governance. This is done by reanalyzing ecological and participatory research findings along with farm-scale livestock offtake data from across the Kalahari in Botswana. An iterative process was followed to establish narratives exploring how external drivers led to changes in agroecosystem resilience, access to assets, and the institutional capacity to buffer the system. We use "causal loop diagrams" and statistical dynamic system models to express key quantitative relationships and establish future scenarios to help define where uncertainties lie by showing where the system is most sensitive to change. We highlight how that greater sharing of land management knowledge and practices between private and communal land managers can provide 'win-win-win' benefits of reducing system vulnerability, increasing economic income, and building social capital. We use future scenario analyses to identify key areas for future studies of climate change adaptation across the Kalahari.
C1 [Dougill, Andrew J.; Fraser, Evan D. G.] Univ Leeds, Leeds LS2 9JT, W Yorkshire, England.
   [Reed, Mark S.] Univ Aberdeen, Aberdeen AB9 1FX, Scotland.
C3 University of Leeds; University of Aberdeen
RP Dougill, AJ (corresponding author), Univ Leeds, Leeds LS2 9JT, W Yorkshire, England.
RI Fraser, Evan/F-7967-2011
OI Reed, Mark/0000-0002-8958-8474; Fraser, Evan/0000-0001-5124-488X;
   Dougill, Andrew/0000-0002-3422-8228
FU ESRC [ES/H037144/1, ES/G021694/1] Funding Source: UKRI
CR ADAMS M, 1999, ODI NATURAL RESOURCE, V39
   [Anonymous], 2006, Food and Agriculture Organization, the state of food insecurity in the world 2006
   [Anonymous], 2007, Climate Change 2007: A Synthesis Report, P22
   [Anonymous], NATL LAND POLICY ISS
   [Anonymous], WORLD FACTB
   [Anonymous], DEP INT DEV ISSUES S
   [Anonymous], 1997, CUSTODIANS COMMONS P
   [Anonymous], SARPN C LAND REF POV
   Berkeley A, 2005, AFR J ECOL, V43, P137, DOI 10.1111/j.1365-2028.2005.00560.x
   BHALOTRA YPR, 1987, ELEMENTS CLIMATE, V1
   *BOTSW DEP ENV AFF, 2006, BOTS NAT ACT PROGR C
   Chanda R, 2003, J ARID ENVIRON, V54, P425, DOI 10.1006/jare.2002.1100
   Chipanshi AC, 2003, CLIMATIC CHANGE, V61, P339, DOI 10.1023/B:CLIM.0000004551.55871.eb
   Christensen JH, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P847
   Clover J, 2009, ENVIRON SCI POLICY, V12, P53, DOI 10.1016/j.envsci.2008.10.012
   Dougill AJ, 1999, ANN ASSOC AM GEOGR, V89, P420, DOI 10.1111/0004-5608.00156
   Dougill AJ, 2002, GEOGR J, V168, P195, DOI 10.1111/1475-4959.00048
   DOUGILL AJ, 2002, SUSTAINABLE LIVELIHO, P91
   Fraser EDG, 2007, CLIMATIC CHANGE, V83, P495, DOI 10.1007/s10584-007-9240-9
   Hewitson BC, 2006, INT J CLIMATOL, V26, P1315, DOI 10.1002/joc.1314
   HITCHCOCK RK, 2002, SUSTAINABLE LIVELIHO, P221
   Joubert DF, 2008, J ARID ENVIRON, V72, P2201, DOI 10.1016/j.jaridenv.2008.07.004
   Katjiua M, 2007, J ARID ENVIRON, V69, P716, DOI 10.1016/j.jaridenv.2006.11.010
   Klintenberg P, 2007, J ARID ENVIRON, V69, P506, DOI 10.1016/j.jaridenv.2006.10.015
   McGranahan DA, 2008, BIODIVERS CONSERV, V17, P1965, DOI 10.1007/s10531-008-9339-y
   Milton SJ, 2003, FRONT ECOL ENVIRON, V1, P247, DOI 10.1890/1540-9295(2003)001[0247:EIFRNC]2.0.CO;2
   Moleele NM, 2002, J ENVIRON MANAGE, V64, P3, DOI 10.1006/jema.2001.0486
   Oba G, 2008, LAND DEGRAD DEV, V19, P65, DOI 10.1002/ldr.811
   Parry M, 1999, GLOBAL ENVIRON CHANG, V9, pS51, DOI 10.1016/S0959-3780(99)00018-7
   Perkins JS, 1996, J ARID ENVIRON, V33, P503, DOI 10.1006/jare.1996.0086
   Perrings C, 2000, ENVIRON RESOUR ECON, V16, P185, DOI 10.1023/A:1008374222463
   Quan J., 1994, PRELIMINARY ASSESSME
   Reed MS, 2010, J ARID ENVIRON, V74, P149, DOI 10.1016/j.jaridenv.2009.06.016
   Reed MS, 2008, ECOL APPL, V18, P1253, DOI 10.1890/07-0519.1
   Reed MS, 2008, FUTURE OF DRYLANDS, P719
   REED MS, 2007, LAND DEGRAD DEV, V17, P1
   Reynolds JF, 2007, SCIENCE, V316, P847, DOI 10.1126/science.1131634
   Ringrose S, 1996, ENVIRON MANAGE, V20, P397, DOI 10.1007/BF01203847
   Rohde RF, 2006, ENVIRON SCI POLICY, V9, P302, DOI 10.1016/j.envsci.2005.11.009
   Sallu SM, 2009, AFR J ECOL, V47, P110, DOI 10.1111/j.1365-2028.2008.01057.x
   Sporton D., 2002, Sustainable Livelihoods in Kalahari Environments: A Contribution to Global Debates
   Stringer LC, 2007, NAT RESOUR FORUM, V31, P198, DOI 10.1111/j.1477-8947.2007.00154.x
   Tainton N.M., 1999, VELD MANAGEMENT S AF
   Tennant WJ, 2002, INT J CLIMATOL, V22, P1033, DOI 10.1002/joc.778
   Thomas DSG, 2000, LAND DEGRAD DEV, V11, P327, DOI 10.1002/1099-145X(200007/08)11:4<327::AID-LDR395>3.0.CO;2-V
   Thomas DSG, 2005, NATURE, V435, P1218, DOI 10.1038/nature03717
   Thomas DSG, 2004, LAND DEGRAD DEV, V15, P215, DOI 10.1002/ldr.610
   Thompson J, 2009, ENVIRON SCI POLICY, V12, P386, DOI 10.1016/j.envsci.2009.03.001
   Turner RK, 2008, ENVIRON RESOUR ECON, V39, P25, DOI 10.1007/s10640-007-9176-6
   Twyman C, 2004, GEOFORUM, V35, P69, DOI 10.1016/S0016-7185(03)00030-7
   TWYMAN C, 2002, REV AFRICAN POLITICA, V28, P9
   Warren A, 2002, LAND DEGRAD DEV, V13, P449, DOI 10.1002/ldr.532
   WASHINGTON R, 2005, T232 U E ANGL
   White Richard., 1993, Livestock Development and Pastoral Production on Communal Rangeland in Botswana
NR 54
TC 353
Z9 493
U1 4
U2 112
PU RESILIENCE ALLIANCE
PI WOLFVILLE
PA ACADIA UNIV, BIOLOGY DEPT, WOLFVILLE, NS B0P 1X0, CANADA
SN 1708-3087
J9 ECOL SOC
JI Ecol. Soc.
PY 2010
VL 15
IS 2
AR 17
PG 20
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 625BL
UT WOS:000279866400011
OA Green Published, gold
DA 2025-01-10
ER

PT S
AU Heath, L
   Salinger, MJ
   Falkland, T
   Hansen, J
   Jiang, KJ
   Kameyama, Y
   Kishi, M
   Lebel, L
   Meinke, H
   Morton, K
   Nikitina, E
   Shukla, PR
   White, I
AF Heath, Lance
   Salinger, Michael James
   Falkland, Tony
   Hansen, James
   Jiang, Kejun
   Kameyama, Yasuko
   Kishi, Michio
   Lebel, Louis
   Meinke, Holger
   Morton, Katherine
   Nikitina, Elena
   Shukla, P. R.
   White, Ian
BE Manton, MJ
   Stevenson, LA
TI Climate and Security in Asia and the Pacific (Food, Water and Energy)
SO CLIMATE IN ASIA AND THE PACIFIC: SECURITY, SOCIETY AND SUSTAINABILITY
SE Advances in Global Change Research
LA English
DT Article; Book Chapter
DE Climate and energy security; Climate and food security; Climate and
   water security
ID NORTH PACIFIC; RICE GROWTH; LAND-COVER; ZOOPLANKTON; SEA; VULNERABILITY;
   PRODUCTIVITY; DROUGHT; SYSTEMS; IMPACT
AB The impacts of increasing natural climate disasters are threatening food security in the Asia-Pacific region. Rice is Asia's most important staple food. Climate variability and change directly impact rice production, through changes in rainfall, temperature and CO2 concentrations. The key for sustainable rice crop is water management. Adaptation can occur through shifts of cropping to higher latitudes and can profit from river systems (via irrigation) so far not considered. New opportunities arise to produce more than one crop per year in cooler areas. Asian wheat production in 2005 represents about 43 % of the global total. Changes in agronomic practices, such as earlier plant dates and cultivar substitution will be required. Fisheries play a crucial role in providing food security with the contribution of fish to dietary animal protein being very high in the region - up to 90 % in small island developing states (SIDS). With the warming of the Pacific and Indian Oceans and increased acidification, marine ecosystems are presently under stress. Despite these trends, maintaining or enhancing food production from the sea is critical. However, future sustainability must be maintained whilst also securing biodiversity conservation. Improved fisheries management to address the existing non-climate threats remains paramount in the Indian and Pacific Oceans with sustainable management regimes being established. Climate-related impacts are expected to increase in magnitude over the coming decades, thus preliminary adaptation to climate change is valuable.
   Water security has become a defining issue of the twenty-first century for Asia and the Pacific. In the case of the Himalaya-Tibetan Plateau (HTP) region, cross-border conflicts over international water rights have also led to increased geopolitical tensions. For the Pacific, the main sources of freshwater for island communities is very limited being constrained to rainwater, surface water and groundwater. There is a need for a range of effective water management strategies for dealing with water security issues ranging from more effective water governance through to enhanced community participation. Flood disasters are the most frequent and devastating and their impacts have grown in the region. For longer term disaster risk reduction planning procedures are required as integral elements for 'good governance' of floods.
   Energy security in three major energy-consuming economies in Asia; namely China, India and Japan is crucial, and requires climate change mitigation policies. Both energy efficiency and renewable energy are important factors in solutions to the energy conundrum. Technological innovation and diffusion is an important component for improving energy efficiency, with the promotion of renewable energy requiring financial investment and innovation. However, costs of new technologies are likely to decrease as they become more widely adopted. Demand side management is also need to provide key solutions.
C1 [Heath, Lance] Australian Natl Univ, CCI, Canberra, ACT 0200, Australia.
   [Salinger, Michael James] Univ Auckland, Auckland 2010, New Zealand.
   [Falkland, Tony] Isl Hydrol Serv, Hughes, ACT 2605, Australia.
   [Hansen, James] Columbia Univ, Int Res Inst Climate & Soc IRI, Palisades, NY 10964 USA.
   [Jiang, Kejun] Natl Dev & Reform Commiss, Energy Res Inst, Beijing 100038, Peoples R China.
   [Kameyama, Yasuko] Natl Inst Environm Studies, Ctr Global Environm Res, Tsukuba, Ibaraki 3058506, Japan.
   [Kishi, Michio] Hokkaido Univ, Sch Fisheries Sci, Grad Sch Fisheries Sci, Hakodate, Hokkaido 0418611, Japan.
   [Lebel, Louis] Chiang Mai Univ, USER, Chiang Mai 50200, Thailand.
   [Meinke, Holger] Univ Tasmania, Tasmanian Inst Agr, Hobart, Tas 7005, Australia.
   [Morton, Katherine] Australian Natl Univ, Int Relat Res Sch Pacific & Asian Studies, Canberra, ACT 0200, Australia.
   [Nikitina, Elena] EcoPolicy Res & Consulting EcoPolicy, Moscow 117393, Russia.
   [Shukla, P. R.] Indian Inst Management, Publ Syst Grp, Ahmadabad 380015, Gujarat, India.
   [White, Ian] Australian Natl Univ, Fenner Sch Environm & Soc, Canberra, ACT 0200, Australia.
C3 Australian National University; University of Auckland; Columbia
   University; National Institute for Environmental Studies - Japan;
   Hokkaido University; Chiang Mai University; University of Tasmania;
   Australian National University; Indian Institute of Management (IIM
   System); Indian Institute of Management Ahmedabad; Australian National
   University
RP Heath, L (corresponding author), Australian Natl Univ, CCI, GPO Box 4, Canberra, ACT 0200, Australia.
EM lance.heath@anu.edu.au; salinger@orcon.net.nz;
   tony.falkland@netspeed.com.au; jhansen@iri.columbia.edu;
   kjiang@eri.org.cn; ykame@nies.go.jp; mjkishi@nifty.com;
   louis@sea-user.org; holger.meinke@utas.edu.au;
   Katherine.morton@anu.edu.au; elenanikitina@bk.ru;
   shukla@iimahd.ernet.in; ian.white@anu.edu.au
RI ; Nikitina, Elena/O-4054-2016; Jiang, kejun/ADG-1519-2022; Hansen,
   James/M-1449-2015; Meinke, Holger/C-7215-2013
OI Shukla, Priyadarshi/0000-0002-7305-2907; Nikitina,
   Elena/0000-0002-8431-7990; Jiang, kejun/0000-0001-8904-4429; Hansen,
   James/0000-0002-8599-7895; Meinke, Holger/0000-0003-2657-3264
CR [Anonymous], 2009 UNIDSR TERM DIS
   [Anonymous], 2009, P S SMALL SCALE AQUA
   [Anonymous], 2010, The Future of Pacific Island Fisheries
   [Anonymous], 200511 USER CHIANG M
   [Anonymous], WCPFCSC62010SAWP4
   [Anonymous], P INT WORKSH AGR RIS
   [Anonymous], INT DIS RISK C IDRC
   [Anonymous], 49789291151516 ICIMO
   [Anonymous], 2011, SSRN Electron J
   [Anonymous], OECD FOOD AGR FISH P
   [Anonymous], 2011, SCOT E SIT SURV MARC
   [Anonymous], CIV SOC TASKF LAUNCH
   [Anonymous], MONTHLY KAIYO
   [Anonymous], ROAD MAP MID TERM TA
   [Anonymous], WHAT LOOK CHINAS 12
   [Anonymous], POP DEM IND SPREADSH
   [Anonymous], P 4 INT CROP SCI C B
   [Anonymous], EN OUTL AS PAC REP
   [Anonymous], 2011, CLIM CHANG PAC SCI A
   [Anonymous], 2004, P 2 INT C AS PAC HYD
   [Anonymous], CLIM CHANG PAC SCI A
   [Anonymous], ARCP200410NSYWERNER
   [Anonymous], 2008, STATUS CORAL REEFS W
   [Anonymous], GLOBEC FIN REP UK GL
   [Anonymous], APN200107
   [Anonymous], NATURAL GAS MARKET I
   [Anonymous], 2011, WORLD EN OUTL 2011 E
   [Anonymous], COUNTR IMPL PLAN IMP
   [Anonymous], I POLICIES MEASURES
   [Anonymous], MONTHLY KAIYO
   [Anonymous], CLIMATE CHANGE ADAPT
   [Anonymous], AD CLIM CHANG CAS ST
   [Anonymous], UP DAT 2009 WORLD GL
   [Anonymous], 2009, Troubled Waters Climate Change, Hydropolitics and Transboundary Resources
   [Anonymous], 2010, AS PAC DIS REP 2010
   [Anonymous], AB DHAB HOST 4 DIAL
   [Anonymous], CIRCLE BLUE WATER NE
   [Anonymous], CLIMATE ASIA PACIFIC
   [Anonymous], HUM DEV REP S2011 UN
   [Anonymous], EFFECT TEMPERATURE A
   [Anonymous], NEW DIRECTIONS DIVER
   [Anonymous], CHIN CAP EN US 4BLN
   [Anonymous], PREM REP GOVT WORK L
   [Anonymous], CROP PROSP FOOD SIT
   [Anonymous], CYCLIC CHANGE CLIMAT
   [Anonymous], 2009, WAT STOR STRAT CLIM
   [Anonymous], WATER RESOURCES BORD
   [Anonymous], MEASURING VULNERABIL
   [Anonymous], CUM DEPL VAR REN EN
   [Anonymous], ARCP200903CMYNIKITIN
   [Anonymous], GAZ IND EXTR 2
   [Anonymous], 2011, TARAWA WATER MASTER
   [Anonymous], WCPFCSC62010GNWP01
   [Anonymous], AT CROSSCR CLIM CHAN
   [Anonymous], CHINAS PARTY PLENUM
   [Anonymous], WORLD BANK GFDRR ASE
   [Anonymous], TE RAN MAITIRA AE KA
   [Anonymous], ASEAN DIS RISK MAN I
   [Anonymous], 2002, ENV PEACEMAKING
   [Anonymous], INT CLIM PROJ 25 MAR
   [Anonymous], 2010, WATERS 3 POLE SOURCE
   [Anonymous], 2011, VULNERABILITY TROPIC
   [Anonymous], 2011, INT EN STAT
   [Anonymous], EN STAT 2011
   [Anonymous], REPORT WATER INVESTI
   [Anonymous], 200822 NIWA HAM ATM
   [Anonymous], REN EN LAW
   [Anonymous], 2020, COLLECTIVE ACTIONS S
   [Anonymous], CHINADIALOGUE   0303
   [Anonymous], CHINAS OFFICIAL COMM
   [Anonymous], BREEDING SCI
   [Anonymous], CCCMA 3 GENERATION A
   [Anonymous], PEOPLES DAILY   0106
   [Anonymous], AD CLIM CHANG
   [Anonymous], DOC PCCSP PROJ PASAP
   [Anonymous], 11 5 YEAR PLAN PEOPL
   [Anonymous], ECOLOGICAL MODELLING
   [Anonymous], PEOPLES DAILY O 0827
   [Anonymous], 2009, 18 WORLD IMACS C MOD
   [Anonymous], RESP LOW CARB SOC NE
   [Anonymous], JAP EN DEM FIN CONS
   [Anonymous], HWR9711 ACTEW CORP
   [Anonymous], DHAK DECL 13 SAARC S
   [Anonymous], CHIN CARB INT GOAL G
   [Anonymous], 2009, VULNERABILITY GROUND
   Antonov JI, 2002, J GEOPHYS RES-OCEANS, V107, DOI 10.1029/2001JC000964
   Ashfaq M, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2008GL036500
   Asokan SM, 2008, HYDROL PROCESS, V22, P3589, DOI 10.1002/hyp.6962
   Atlin GN, 2006, FIELD CROP RES, V97, P43, DOI 10.1016/j.fcr.2005.08.014
   Bajracharya S.R., 2007, IMPACT CLIMATE CHANG
   Bakun A, 2008, PROG OCEANOGR, V79, P290, DOI 10.1016/j.pocean.2008.10.027
   Bankoff Greg., 2004, J SOUTHEAST ASIAN ST, V35, P91, DOI DOI 10.1017/S0022463404000050
   Barnaby W, 2009, NATURE, V458, P282, DOI 10.1038/458282a
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Beaugrand G, 2003, GLOBAL CHANGE BIOL, V9, P801, DOI 10.1046/j.1365-2486.2003.00632.x
   Beaugrand G, 2002, SCIENCE, V296, P1692, DOI 10.1126/science.1071329
   Beddington J., 2011, Achieving food security in the face of climate change: summary for policy makers from the Commission on Sustainable Agriculture and Climate Change
   Bindoff NL, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P385
   Bouman BAM, 2006, AGR SYST, V87, P249, DOI 10.1016/j.agsy.2004.09.011
   Brodeur RD, 2008, PROG OCEANOGR, V77, P103, DOI 10.1016/j.pocean.2008.03.017
   Ciannelli L, 2005, AQUATIC FOOD WEBS: AN ECOSYSTEM APPROACH, P143
   Cronin R, 2009, SURVIVAL, V51, P147, DOI 10.1080/00396330903461716
   Cruz RV, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P469
   Cury P, 2003, RESPONSIBLE FISHERIES IN THE MARINE ECOSYSTEM, P103, DOI 10.1079/9780851996332.0103
   Cushing D., 1995, POPULATION PRODUCTIO
   Dhar ON, 2003, NAT HAZARDS, V28, P1, DOI 10.1023/A:1021199714487
   DINGKUHN M, 1995, AGR SYST, V48, P411, DOI 10.1016/0308-521X(94)00028-J
   Dixit A, 2003, NAT HAZARDS, V28, P155, DOI 10.1023/A:1021134218121
   Dunn BW, 2011, AGR WATER MANAGE, V98, P1799, DOI 10.1016/j.agwat.2011.07.004
   FEELY RA, 1984, J GEOPHYS RES-OCEANS, V89, P631, DOI 10.1029/JC089iC06p10631
   Feely RA, 2004, SCIENCE, V305, P362, DOI 10.1126/science.1097329
   Foresight, 2011, The Future of Food and Farming Final Project Report
   Fujita K, 2011, P NATL ACAD SCI USA, V108, P14011, DOI 10.1073/pnas.1106242108
   Fukuwaka M., 2007, NPAFC Tech. Rep, V7, P29
   Ganachaud AS., 2011, Vulnerability of tropical pacific fisheries and aquaculture to climate change, P101
   Gaydon DS, 2012, AGR WATER MANAGE, V115, P1, DOI 10.1016/j.agwat.2012.08.007
   Gaydon DS, 2012, EUR J AGRON, V39, P35, DOI 10.1016/j.eja.2012.01.004
   Gaydon DS, 2012, EUR J AGRON, V39, P9, DOI 10.1016/j.eja.2012.01.003
   Gaydon DS, 2012, AGR WATER MANAGE, V103, P33, DOI 10.1016/j.agwat.2011.10.015
   Gillett R., 2009, Fisheries in the Economies of the Pacific Island Countries and Territories
   Gillett R, 2001, TUNA KEY EC RESOURCE
   GoI (Government of India), 2008, NAT ACT PLAN CLIM CH
   Hammer GL, 2002, EUR J AGRON, V18, P15, DOI 10.1016/S1161-0301(02)00093-X
   Heath Mike R., 2010, ICES Cooperative Research Report, V301, P72
   HENSON IE, 1985, ANN BOT-LONDON, V56, P481, DOI 10.1093/oxfordjournals.aob.a087033
   Hirawake T, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2004GL021394
   HSIAO TC, 1984, PLANT PHYSIOL, V75, P338, DOI 10.1104/pp.75.2.338
   Immerzeel WW, 2010, SCIENCE, V328, P1382, DOI 10.1126/science.1183188
   Jain SK, 2008, CURR SCI INDIA, V95, P1012
   Jayanta Bandyopadhyay Jayanta Bandyopadhyay, 2009, ICIMOD, Sustainable Mountain Development, P17
   Kaeriyama M., 1986, SCI REP HOKKAIDO SAL, V40, P31
   Karl DM, 1999, ECOSYSTEMS, V2, P181, DOI 10.1007/s100219900068
   Kehrwald NM, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL035556
   Kim S, 2010, MAR POLICY, V34, P803, DOI 10.1016/j.marpol.2010.01.028
   Kishi MJ, 2010, DEEP-SEA RES PT II, V57, P1257, DOI 10.1016/j.dsr2.2009.12.013
   Kishi MJ, 2009, J MARINE SYST, V78, P278, DOI 10.1016/j.jmarsys.2009.02.012
   Kumar J, 2001, ADV AGRON, V72, P107, DOI 10.1016/S0065-2113(01)72012-3
   Langley A., 2009, Stock Assessment of Yellowfin Tuna in the Western and Central Pacific Ocean
   Lau WKM, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/2/025204
   Lebel L., 2007, Democratizing water governance in the Mekong Region, P37
   Lebel L., 2006, Disaster Prevention & Management, V15, P124, DOI 10.1108/09653560610654284
   Lebel L., 2009, Critical States: Environmental Challenges to Development in Monsoon Southeast Asia, P381
   Lebel L., 2009, Contested waterscapes in the Mekong Region: hydropower, livelihoods and governance, P283
   Lebel L., 2006, Sci Cult, V72, P2
   Lebel L., 2009, Asian Journal of Environment and Disaster Management, V1, P23, DOI [DOI 10.3850/S179392402009000040, 10.3850/S179392402009000040]
   Lebel L, 2011, REG ENVIRON CHANGE, V11, P45, DOI 10.1007/s10113-010-0118-4
   Lehodey P, 2006, J CLIMATE, V19, P5009, DOI 10.1175/JCLI3898.1
   Lehodey P, 1997, NATURE, V389, P715, DOI 10.1038/39575
   Levitus S, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2004GL021592
   Liu XD, 2000, INT J CLIMATOL, V20, P1729, DOI 10.1002/1097-0088(20001130)20:14<1729::AID-JOC556>3.0.CO;2-Y
   LUDLOW MM, 1990, ADV AGRON, V43, P107
   Luquet D, 2008, FUNCT PLANT BIOL, V35, P689, DOI 10.1071/FP08027
   Ma X, 2010, HYDROL PROCESS, V24, P1379, DOI 10.1002/hyp.7602
   Ma X, 2009, HYDROL PROCESS, V23, P1179, DOI 10.1002/hyp.7233
   Mackas DL, 2007, PROG OCEANOGR, V75, P223, DOI 10.1016/j.pocean.2007.08.010
   Manschadi AM, 2008, PLANT SOIL, V303, P115, DOI 10.1007/s11104-007-9492-1
   Mantua NJ, 1997, B AM METEOROL SOC, V78, P1069, DOI 10.1175/1520-0477(1997)078<1069:APICOW>2.0.CO;2
   Mantua NJ, 2002, J OCEANOGR, V58, P35, DOI 10.1023/A:1015820616384
   Manuta J., 2006, SCI CULT-INDIA, V72, P10
   Manuta J.B., 2005, Tropical Coasts, V12, P30
   McGowan JA, 2003, DEEP-SEA RES PT II, V50, P2567, DOI 10.1016/S0967-0645(03)00135-8
   Meehl GA, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P747
   Metz B, 2007, AR4 CLIMATE CHANGE 2007: MITIGATION OF CLIMATE CHANGE, P1
   Metz B., 2007, Climate change
   Miller AJ, 2004, J OCEANOGR, V60, P163, DOI 10.1023/B:JOCE.0000038325.36306.95
   Minobe S, 1999, GEOPHYS RES LETT, V26, P855, DOI 10.1029/1999GL900119
   Mitchell PL, 2006, NEW PHYTOL, V171, P688, DOI 10.1111/j.1469-8137.2006.01855.x
   Morton K, 2011, SURVIVAL, V53, P121, DOI 10.1080/00396338.2011.555606
   Mukherji A., 2009, Revitalizing asia's irrigation: to sustainable meet tomorrow's food needs. Revitalizing Asia's irrigation: to sustainable meet tomorrow's food needs
   Nguyen HT, 1997, CROP SCI, V37, P1426, DOI 10.2135/cropsci1997.0011183X003700050002x
   Nikitina E, 2010, REG ENVIRON CHANGE, V10, P285, DOI 10.1007/s10113-009-0092-x
   Oberdorfer J.A., 1988, Proceedings; Sixth International Coral Reef Symposium, V3, P523
   Orr JC, 2005, NATURE, V437, P681, DOI 10.1038/nature04095
   Pielke R, 2007, NATURE, V445, P597, DOI 10.1038/445597a
   Pörtner HO, 2005, J GEOPHYS RES-OCEANS, V110, DOI 10.1029/2004JC002561
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Quadrelli R, 2004, J CLIMATE, V17, P3728, DOI 10.1175/1520-0442(2004)017<3728:ASLFFI>2.0.CO;2
   Rahmstorf S, 2007, SCIENCE, V316, P709, DOI 10.1126/science.1136843
   Rees HG, 2006, HYDROL PROCESS, V20, P2157, DOI 10.1002/hyp.6209
   RICHARDS RA, 1986, AUST J PLANT PHYSIOL, V13, P465, DOI 10.1071/PP9860465
   Richardson AJ, 2008, ICES J MAR SCI, V65, P279, DOI 10.1093/icesjms/fsn028
   Rodell M, 2009, NATURE, V460, P999, DOI 10.1038/nature08238
   ROEMMICH D, 1995, SCIENCE, V267, P1324, DOI 10.1126/science.267.5202.1324
   Sabine CL, 2004, SCIENCE, V305, P367, DOI 10.1126/science.1097403
   Sakurai Y, 2000, ICES J MAR SCI, V57, P24, DOI 10.1006/jmsc.2000.0667
   Sakurai Yasunori, 2003, Fisken og Havet, V12, P105
   Salinger J, 2013, CLIMATIC CHANGE, V119, P3, DOI 10.1007/s10584-012-0609-z
   Salinger MJ, 2013, CLIMATIC CHANGE, V119, P23, DOI 10.1007/s10584-013-0762-z
   Sandquist DR, 2003, AM J BOT, V90, P1481, DOI 10.3732/ajb.90.10.1481
   Sarmiento JL, 2004, GLOBAL BIOGEOCHEM CY, V18, DOI 10.1029/2003GB002134
   Scherler D, 2011, J GEOPHYS RES-EARTH, V116, DOI 10.1029/2010JF001751
   Selvaraju R, 2007, Climate Prediction and Agriculture: Advances and Challenges, P143, DOI 10.1007/978-3-540-44650-7_15
   Shimono H, 2007, AGR ECOSYST ENVIRON, V118, P223, DOI 10.1016/j.agee.2006.05.015
   Shukla PR, 2013, SUSTAIN DEV, V21, P48, DOI 10.1002/sd.516
   Singh P, 2004, HYDROL PROCESS, V18, P2363, DOI 10.1002/hyp.1468
   Sinh BT, 2009, NAT DISASTER RES PR, P445
   Subash N, 2011, THEOR APPL CLIMATOL, V103, P305, DOI 10.1007/s00704-010-0299-2
   Takasuka A, 2004, MAR ECOL PROG SER, V278, P297, DOI 10.3354/meps278297
   Takasuka A, 2008, MAR ECOL PROG SER, V360, P211, DOI 10.3354/meps07407
   Takeuchi K, 2001, HYDROLOG SCI J, V46, P869, DOI 10.1080/02626660109492882
   Teh D., 2021, Handbook of Disaster Risk Reduction for Resilience, DOI 10.1007/978-3-030-61278-8_2
   Terry JP, 2010, HYDROGEOL J, V18, P749, DOI 10.1007/s10040-009-0544-x
   Thayyen RJ, 2010, CRYOSPHERE, V4, P115, DOI 10.5194/tc-4-115-2010
   Trenberth KE, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P235
   Tripathy JN, 2000, THEOR APPL GENET, V100, P1197, DOI 10.1007/s001220051424
   Vecchi GA, 2006, NATURE, V441, P73, DOI 10.1038/nature04744
   VENRICK EL, 1993, LIMNOL OCEANOGR, V38, P1135, DOI 10.4319/lo.1993.38.6.1135
   von Grebmer Klaus., 2008, Global Hunger Index: The Challenge of Hunger 2008
   Wassmann R, 2009, ADV AGRON, V102, P91, DOI 10.1016/S0065-2113(09)01003-7
   Watanabe YW, 2005, J OCEANOGR, V61, P1011, DOI 10.1007/s10872-006-0017-y
   Webb AP, 2010, GLOBAL PLANET CHANGE, V72, P234, DOI 10.1016/j.gloplacha.2010.05.003
   White I., 2008, Development (London), V51, P282, DOI 10.1057/dev.2008.18
   White I., 2010, Tarawa Water Master Plan: 2010 - 2030
   White I, 2007, VADOSE ZONE J, V6, P581, DOI 10.2136/vzj2006.0092
   White I, 2010, HYDROGEOL J, V18, P227, DOI 10.1007/s10040-009-0525-0
   Woodroffe CD, 2008, GLOBAL PLANET CHANGE, V62, P77, DOI 10.1016/j.gloplacha.2007.11.001
   Xu J., 2007, MELTING HIMALAYAS RE
   Yao TD, 2006, SCI CHINA SER D, V49, P1, DOI 10.1007/s11430-004-5096-2
   Yin XY, 2008, NEW PHYTOL, V179, P629, DOI 10.1111/j.1469-8137.2008.02424.x
   Ziegler AD, 2004, AGR ECOSYST ENVIRON, V104, P145, DOI 10.1016/j.agee.2004.01.012
NR 220
TC 6
Z9 8
U1 3
U2 53
PU SPRINGER
PI DORDRECHT
PA PO BOX 17, 3300 AA DORDRECHT, NETHERLANDS
SN 1574-0919
BN 978-94-007-7337-0; 978-94-007-7338-7
J9 ADV GLOB CHANGE RES
JI Adv. Glob. Change Res.
PY 2014
VL 56
BP 129
EP 198
DI 10.1007/978-94-007-7338-7_4
D2 10.1007/978-94-007-7338-7
PG 70
WC Environmental Sciences; Environmental Studies
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH); Book Citation Index – Science (BKCI-S)
SC Environmental Sciences & Ecology
GA BA6TP
UT WOS:000337279000008
DA 2025-01-10
ER

PT J
AU Mátyás, C
   Beran, F
   Dostál, J
   Cáp, J
   Fulín, M
   Vejpustková, M
   Bozic, G
   Balázs, P
   Frydl, J
AF Matyas, Csaba
   Beran, Frantisek
   Dostal, Jaroslav
   Cap, Jiri
   Fulin, Martin
   Vejpustkova, Monika
   Bozic, Gregor
   Balazs, Pal
   Frydl, Josef
TI Surprising Drought Tolerance of Fir (<i>Abies</i>) Species between Past
   Climatic Adaptation and Future Projections Reveals New Chances for
   Adaptive Forest Management
SO FORESTS
LA English
DT Article
DE climate change; common garden; provenance test; silver fir; grand fir;
   Balkan firs; drought stress; resilience; climate transfer distance;
   adaptation
ID INTRA-SPECIFIC VARIATION; SILVER FIR; NORWAY SPRUCE; ALBA MILL.;
   ASSISTED MIGRATION; WOOD DENSITY; GROWTH; PROVENANCE; RESPONSES;
   CONSERVATION
AB Research Highlights: Data of advanced-age provenance tests were reanalyzed applying a new approach, to directly estimate the growth of populations at their original sites under individually generated future climates. The results revealed the high resilience potential of fir species. Background and Objectives: The growth and survival of silver fir under future climatic scenarios are insufficiently investigated at the xeric limits. The selective signature of past climate determining the current and projected growth was investigated to analyze the prospects of adaptive silviculture and assisted transfer of silver fir populations, and the introduction of non-autochthonous species. Materials and Methods: Hargreaves' climatic moisture deficit was selected to model height responses of adult populations. Climatic transfer distance was used to assess the relative drought stress of populations at the test site, relating these to the past conditions to which the populations had adapted. ClimateEU and ClimateWNA pathway RCP8.5 data served to determine individually past, current, and future moisture deficit conditions. Besides silver fir, other fir species from South Europe and the American Northwest were also tested. Results: Drought tolerance profiles explained the responses of transferred provenances and predicted their future performance and survival. Silver fir displayed significant within-species differentiation regarding drought stress response. Applying the assumed drought tolerance limit of 100 mm relative moisture deficit, most of the tested silver fir populations seem to survive their projected climate at their origin until the end of the century. Survival is likely also for transferred Balkan fir species and for grand fir populations, but not for the Mediterranean species. Conclusions: The projections are less dramatic than provided by usual inventory assessments, considering also the resilience of populations. The method fills the existing gap between experimentally determined adaptive response and the predictions needed for management decisions. It also underscores the unique potential of provenance tests.
C1 [Matyas, Csaba; Balazs, Pal] Univ Sopron, Fac Forestry, Inst Environm & Earth Sci, H-9400 Sopron, Hungary.
   [Beran, Frantisek; Dostal, Jaroslav; Cap, Jiri; Fulin, Martin; Frydl, Josef] Forestry & Game Management Res Inst, Dept Biol & Forest Tree Breeding, Jiloviste 25202, Czech Republic.
   [Vejpustkova, Monika] Forestry & Game Management Res Inst, Dept Forest Ecol, Jiloviste 25202, Czech Republic.
   [Bozic, Gregor] Slovenian Forestry Inst, Dept Forest Physiol & Genet, Ljubljana 1000, Slovenia.
C3 University of West Hungary; Forestry & Game Management Research
   Institute; Forestry & Game Management Research Institute; Slovenian
   Forestry Institute
RP Mátyás, C (corresponding author), Univ Sopron, Fac Forestry, Inst Environm & Earth Sci, H-9400 Sopron, Hungary.; Frydl, J (corresponding author), Forestry & Game Management Res Inst, Dept Biol & Forest Tree Breeding, Jiloviste 25202, Czech Republic.
EM matyas.csaba@uni-sopron.hu; beran@vulhm.cz; dostal@vulhm.cz;
   cap@vulhm.cz; fulin@vulhm.cz; vejpustkova@vulhm.cz;
   gregor.bozic@gozdis.si; balazs.pal@uni-sopron.hu; frydl@vulhm.cz
RI Vejpustkova, Monika/L-7471-2019; Bozic, Gregor/E-2919-2013
OI Vejpustkova, Monika/0000-0002-6645-7674; Fulin,
   Martin/0009-0008-1380-846X; Bozic, Gregor/0000-0002-5595-2979; Balazs,
   Pal/0000-0001-8251-5718
FU Ministry of Agriculture [MZE-RO0118]
FX Research work in the Czech Republic was supported by the fund
   MZE-RO0118, provided by the Ministry of Agriculture.
CR Adams HD, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa93be
   Allen CD, 2015, ECOSPHERE, V6, DOI 10.1890/ES15-00203.1
   [Anonymous], 2006, LITTLE GREEN HDB
   [Anonymous], 2015, DROUGHT CZECH LANDS
   Berki I, 2016, SEEFOR-SOUTH-EAST EU, V7, P91, DOI 10.15177/seefor.16-14
   Booth TH, 2017, CLIMATIC CHANGE, V145, P259, DOI 10.1007/s10584-017-2107-9
   Bouriaud O, 2009, TREES-STRUCT FUNCT, V23, P95, DOI 10.1007/s00468-008-0258-z
   Cap J., 2009, ZPRAVY LESNICKEHO VY, V54, P33
   CEDA Archive, 2018, TIM SER VERS 3 23 H
   Csilléry K, 2020, EVOL APPL, V13, P2357, DOI 10.1111/eva.13029
   Csilléry K, 2020, HEREDITY, V124, P77, DOI 10.1038/s41437-019-0240-0
   Czimber K, 2016, SCAND J FOREST RES, V31, P664, DOI 10.1080/02827581.2016.1212088
   Dosio, 2019, J CLIMATE, DOI [10.1175/JCLI-D-19-0084, DOI 10.1175/JCLI-D-19-0084]
   Frank A, 2017, ECOLOGY, V98, P211, DOI 10.1002/ecy.1632
   Frydl J., 2018, Acta Silvatica & Lignaria Hungarica, V14, P9
   Fulín M, 2013, REP FOR RES, V58, P186
   Gálos B, 2015, IDOJARAS, V119, P425
   Garzón MB, 2019, NEW PHYTOL, V222, P1757, DOI 10.1111/nph.15716
   Gazol A, 2015, J BIOGEOGR, V42, P1150, DOI 10.1111/jbi.12512
   George JP, 2019, SCI TOTAL ENVIRON, V660, P631, DOI 10.1016/j.scitotenv.2018.12.478
   George JP, 2015, AGR FOREST METEOROL, V214, P430, DOI 10.1016/j.agrformet.2015.08.268
   Grady KC, 2015, RESTOR ECOL, V23, P811, DOI 10.1111/rec.12245
   Gugerli F., 2016, WALD KLIMAWANDEL GRU, P93
   Hansen JK, 2004, EUR J FOR RES, V123, P127, DOI 10.1007/s10342-004-0031-9
   HARGREAVES GH, 1994, J IRRIG DRAIN ENG, V120, P1132, DOI 10.1061/(ASCE)0733-9437(1994)120:6(1132)
   Kapeller S, 2013, MANAGEMENT STRATEGIES TO ADAPT ALPINE SPACE FORESTS TO CLIMATE CHANGE RISKS, P233, DOI 10.5772/56283
   Klumpp R.T, 2002, MITT FORSCH ANST WAL, V50, P44
   Konnert M, 2019, FORESTRY
   Konôpková A, 2020, FUNCT PLANT BIOL, V47, P1007, DOI 10.1071/FP20040
   Latreille AC, 2017, ANN FOREST SCI, V74, DOI 10.1007/s13595-017-0673-7
   Lebourgeois F, 2010, J VEG SCI, V21, P364, DOI 10.1111/j.1654-1103.2009.01148.x
   Marchi M, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-00763-0
   Matías L, 2016, TREE PHYSIOL, V36, P1236, DOI 10.1093/treephys/tpw049
   Mátyás C, 2009, IFOREST, V2, P213, DOI 10.3832/ifor0519-002
   MATYAS C, 1992, SILVAE GENET, V41, P370
   MATYAS C, 1994, TREE PHYSIOL, V14, P797, DOI 10.1093/treephys/14.7-8-9.797
   Mátyás C, 2021, FOREST ECOL MANAG, V482, DOI 10.1016/j.foreco.2020.118832
   Mátyás C, 2018, FORESTS, V9, DOI 10.3390/f9080489
   Mátyás C, 2010, NATURE, V464, P1271, DOI 10.1038/4641271a
   Mayer H., 1982, Centralblatt fur das Gesamte Forstwesen, V99, P169
   Mihai G, 2021, FORESTS, V12, DOI 10.3390/f12040387
   Mosca E, 2019, G3-GENES GENOM GENET, V9, P2039, DOI 10.1534/g3.119.400083
   MSSlis F, 2017, B SPRAVY FORESTRY FA, P59
   MSSlis F., 2017, ZACHOVANIE DRUHOVEJ, P3
   Rau H.M., 1990, P JOINT M W FOR GEN
   Rehfeldt GE, 2020, FORESTS, V11, DOI 10.3390/f11121237
   Rehfeldt GE, 2018, GLOBAL CHANGE BIOL, V24, P858, DOI 10.1111/gcb.13883
   Roschanski AM, 2016, MOL ECOL, V25, P776, DOI 10.1111/mec.13516
   Ruetz W. F., 1994, Ergebnisse des 7. IUFRO-Tannensymposiums., P17
   Sáenz-Romero C, 2020, CAN J FOREST RES, V50, P843, DOI 10.1139/cjfr-2019-0329
   Sagnard F, 2002, FOREST ECOL MANAG, V157, P175, DOI 10.1016/S0378-1127(00)00664-2
   Sindelar J., 2008, Communicationes Instituti Forestalis Bohemicae, V24, P115
   Sindelar J., 2008, Communicationes Instituti Forestalis Bohemicae, V24, P99
   Sindelár J, 2008, REP FOR RES, V53, P116
   Steffen W, 2015, ANTHROPOCENE REV, V2, P81, DOI 10.1177/2053019614564785
   Tinner W, 2013, ECOL MONOGR, V83, P419, DOI 10.1890/12-2231.1
   Vitali V, 2017, GLOBAL CHANGE BIOL, V23, P5108, DOI 10.1111/gcb.13774
   Vitasse Y, 2019, EUR J FOREST RES, V138, P547, DOI 10.1007/s10342-019-01192-4
   Wang TL, 2012, J APPL METEOROL CLIM, V51, P16, DOI 10.1175/JAMC-D-11-043.1
   Wilczynski S, 2019, DENDROBIOLOGY, V81, P1, DOI 10.12657/denbio.081.001
   Zang C, 2014, GLOBAL CHANGE BIOL, V20, P3767, DOI 10.1111/gcb.12637
NR 61
TC 10
Z9 10
U1 0
U2 22
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1999-4907
J9 FORESTS
JI Forests
PD JUL
PY 2021
VL 12
IS 7
AR 821
DI 10.3390/f12070821
PG 31
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA TN4LH
UT WOS:000676207700001
OA gold, Green Published, Green Accepted
DA 2025-01-10
ER

PT J
AU Zhou, YK
AF Zhou, Yuekuan
TI A multi-stage supervised learning optimisation approach on an aerogel
   glazing system with stochastic uncertainty
SO ENERGY
LA English
DT Article
DE Climate -adaptive aerogel; Energy -efficient building; Thermodynamics;
   Machine learning; Stochastic sampling size; Uncertainty magnitude
ID THERMAL-CONDUCTIVITY; ENERGY PERFORMANCE; SILICA AEROGEL; HEAT-TRANSFER;
   INSULATION; BUILDINGS; CLIMATES; WINDOWS; IMPACT
AB Climate-adaptive aerogel materials and resilient condition-dependent thermophysical properties with stochastic uncertainty can enhance the reliability and robustness of aerogel glazings, whereas multidimensional optimal design is highly dependent on stochastic uncertainty magnitude and sampling size, leading to ineffectiveness or inefficiency of traditional physics-based models. Furthermore, given the time-variant meteorological parameters with high-level uncertainties, climate-adaptive design on aerogel materials in building glazing systems can resist heat flux and reduce heat gain, so as to reduce the cooling energy consumption in subtropical climates. In this study, uncertainty optimisation was conducted in a subtropical climate region with sensitivity analysis, using a two-stage learning approach. Results indicate that, with the increase of stochastic sampling size from 18 to 72, the training epoch required to learn accurate optimisation function increases from 5000 to 20,000. Compared to the deterministic scenario, a gradual decrease in total heat gain can be noticed for uncertainty-based optimal scenarios. Furthermore, dynamic thermal performance is highly dependent on uncertainty magnitudes, but insensitive to stochastic sampling size. This study quantifies the impact of sample size and uncertainty magnitude on dynamic thermal performance with frontier guidelines, providing climate-adaptive aerogel glazings under stochastic scenario uncertainties.
C1 [Zhou, Yuekuan] Hong Kong Univ Sci & Technol Guangzhou, Sustainable Energy & Environm Thrust, Funct Hub, Guangzhou 511400, Guangdong, Peoples R China.
   [Zhou, Yuekuan] Hong Kong Univ Sci & Technol, Dept Mech & Aerosp Engn, Clear Water Bay, Hong Kong, Peoples R China.
   [Zhou, Yuekuan] HKUST Shenzhen Hong Kong Collaborat Innovat Res In, Shenzhen, Futian, Peoples R China.
C3 Hong Kong University of Science & Technology (Guangzhou); Hong Kong
   University of Science & Technology
RP Zhou, YK (corresponding author), Hong Kong Univ Sci & Technol Guangzhou, Sustainable Energy & Environm Thrust, Funct Hub, Guangzhou 511400, Guangdong, Peoples R China.; Zhou, YK (corresponding author), Hong Kong Univ Sci & Technol, Dept Mech & Aerosp Engn, Clear Water Bay, Hong Kong, Peoples R China.; Zhou, YK (corresponding author), HKUST Shenzhen Hong Kong Collaborat Innovat Res In, Shenzhen, Futian, Peoples R China.
EM yuekuanzhou@ust.hk
RI Zhou, Yuekuan/ABE-4194-2020
FU Hong Kong University of Science and Technology (Guangzhou)
   [G0101000059]; Project of Hetao Shenzhen Hong Kong Science and
   Technology Innovation Cooperation Zone [HZQB-KCZYB- 2020083]
FX This work was supported by the Hong Kong University of Science and
   Technology (Guangzhou) startup grant (G0101000059) . This work was also
   supported in part by the Project of Hetao Shenzhen Hong Kong Science and
   Technology Innovation Cooperation Zone (HZQB-KCZYB- 2020083) .
CR ASHRAE, 2014, ASHRAE GUID 14 MEAS
   Baillis D, 2015, ENERGY, V84, P732, DOI 10.1016/j.energy.2015.03.039
   Berardi U, 2020, J BUILD ENG, V32, DOI 10.1016/j.jobe.2020.101665
   Berardi U, 2018, ENERGY, V147, P1188, DOI 10.1016/j.energy.2018.01.053
   Berardi U, 2018, ENERG BUILDINGS, V159, P370, DOI 10.1016/j.enbuild.2017.10.092
   Berardi U, 2015, APPL ENERG, V154, P603, DOI 10.1016/j.apenergy.2015.05.059
   Buratti C, 2012, APPL ENERG, V98, P396, DOI 10.1016/j.apenergy.2012.03.062
   Buratti C, 2021, ENERG BUILDINGS, V231, DOI 10.1016/j.enbuild.2020.110587
   Cannavale A, 2020, BUILDINGS-BASEL, V10, DOI 10.3390/buildings10030060
   Casini M, 2018, RENEW ENERG, V119, P923, DOI 10.1016/j.renene.2017.12.049
   Chen YM, 2018, ENERGY, V163, P1115, DOI 10.1016/j.energy.2018.08.158
   Dowson M, 2011, INT J SUSTAIN ENG, V4, P266, DOI 10.1080/19397038.2011.558931
   Gao T, 2016, BUILD ENVIRON, V95, P405, DOI 10.1016/j.buildenv.2015.10.001
   Ghosh A, 2022, SOL ENERGY, V237, P213, DOI 10.1016/j.solener.2022.04.013
   Ghosh A, 2018, RENEW ENERG, V126, P1003, DOI 10.1016/j.renene.2018.04.038
   Ghosh A, 2017, RENEW ENERG, V105, P160, DOI 10.1016/j.renene.2016.12.056
   Ghosh A, 2016, APPL ENERG, V177, P196, DOI 10.1016/j.apenergy.2016.05.118
   Huang Y, 2015, ENERGY, V83, P316, DOI 10.1016/j.energy.2015.02.027
   Ihara T, 2015, APPL ENERG, V142, P179, DOI 10.1016/j.apenergy.2014.12.053
   Ihara T, 2015, ENERG BUILDINGS, V88, P165, DOI 10.1016/j.enbuild.2014.12.001
   Lamy-Mendes A, 2021, CONSTR BUILD MATER, V286, DOI 10.1016/j.conbuildmat.2021.122815
   Li D, 2020, APPL THERM ENG, V165, DOI 10.1016/j.applthermaleng.2019.114547
   Liu SJ, 2018, ENERG BUILDINGS, V177, P385, DOI 10.1016/j.enbuild.2018.08.014
   Lolli N, 2016, BUILD ENVIRON, V101, P64, DOI 10.1016/j.buildenv.2016.03.001
   Luo YQ, 2022, BUILD SIMUL-CHINA, V15, P1923, DOI 10.1007/s12273-022-0904-1
   meteofrance, ABOUT US
   Mujeebu MA, 2016, ENERGY, V113, P949, DOI 10.1016/j.energy.2016.07.136
   Nundy S, 2020, RENEW ENERG, V156, P1361, DOI 10.1016/j.renene.2019.12.004
   Paulos J, 2020, APPL ENERG, V266, DOI 10.1016/j.apenergy.2020.114776
   Pérez-Lombard L, 2008, ENERG BUILDINGS, V40, P394, DOI 10.1016/j.enbuild.2007.03.007
   Su MA, 2021, ISCIENCE, V24, DOI 10.1016/j.isci.2021.102495
   Wei GS, 2016, ENERG BUILDINGS, V118, P226, DOI 10.1016/j.enbuild.2016.03.008
   Zheng DM, 2021, J BUILD ENG, V42, DOI 10.1016/j.jobe.2021.103058
   Zheng DM, 2020, ENERG BUILDINGS, V222, DOI 10.1016/j.enbuild.2020.110028
   Zheng SQ, 2019, ADV THEOR SIMUL, V2, DOI 10.1002/adts.201900092
   Zhou YK, 2021, ISCIENCE, V24, DOI 10.1016/j.isci.2021.103420
   Zhou YK, 2020, RENEW ENERG, V155, P810, DOI 10.1016/j.renene.2020.03.122
   Zhou YK, 2020, RENEW ENERG, V153, P375, DOI 10.1016/j.renene.2020.01.133
   Zhou YK, 2020, J CLEAN PROD, V253, DOI 10.1016/j.jclepro.2020.119964
   Zhou YK, 2020, ENERGY, V193, P547, DOI 10.1016/j.energy.2019.116718
   Zinzi M, 2019, SOL ENERGY, V183, P30, DOI 10.1016/j.solener.2019.03.013
NR 41
TC 6
Z9 6
U1 1
U2 12
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0360-5442
EI 1873-6785
J9 ENERGY
JI Energy
PD NOV 1
PY 2022
VL 258
AR 124815
DI 10.1016/j.energy.2022.124815
EA AUG 2022
PG 18
WC Thermodynamics; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Thermodynamics; Energy & Fuels
GA 4F5PA
UT WOS:000848562800003
DA 2025-01-10
ER

PT B
AU Upreti, BR
   Shrestha, G
AF Upreti, Bishnu Raj
   Shrestha, Gitta
BE SudmeierRieux, K
   Fernandez, M
   Penna, IM
   Jaboyedoff, M
   Gaillard, JC
TI Linking Migration, Mobility, and Development for Strengthening
   Adaptation to Climate and Disaster Risks: Reflections from Nepal
SO IDENTIFYING EMERGING ISSUES IN DISASTER RISK REDUCTION, MIGRATION,
   CLIMATE CHANGE AND SUSTAINABLE DEVELOPMENT: SHAPING DEBATES AND POLICIES
LA English
DT Article; Book Chapter
C1 [Upreti, Bishnu Raj; Shrestha, Gitta] Nepal Ctr Contemporary Res, Kathmandu, Nepal.
RP Upreti, BR (corresponding author), Nepal Ctr Contemporary Res, Kathmandu, Nepal.
EM bupreti@nccr.wlink.com.np
OI Shrestha, Gitta/0000-0002-2428-0954
CR ADB, 2012, Addressing climate change and migration in Asia and the Pacifc, P23
   [Anonymous], 2009, POPULATION DYNAMICS
   [Anonymous], 2006, STAT POCK BOOK NEP
   [Anonymous], 2012, NAT POP HOUS CENS 20
   [Anonymous], EUROPEAN B HIMALAYAN
   [Anonymous], 2008, ROLE LOCAL I ADAPTAT
   [Anonymous], 2014, MY REPUBLICA    0511
   [Anonymous], 2012, PARTNERSHIPS DEV ORI
   [Anonymous], 2014, GLOBAL TIMES
   [Anonymous], 2014, LAB MIGR EMPL STAT R
   [Anonymous], 2011, LABOUR MIGRATION RES
   [Anonymous], 2007, CLIMATE CHANGE 2007
   [Anonymous], 2010, WORLD BANK POLICY RE
   BLACK R, 1994, TIJDSCHR ECON SOC GE, V85, P249, DOI 10.1111/j.1467-9663.1994.tb00693.x
   de Haan A, 1999, J DEV STUD, V36, P1, DOI 10.1080/00220389908422619
   Deshingkar P, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/1/015603
   Foresight, 2011, Future challenges and opportunities Final Project Report
   Gautam L, 2014, RELATIONS COST HIGH
   Gautam T.R., 2005, Journal of Sociology and Anthropology, V1, P146
   GFMD (Global Forum for Migration and Development), 2010, BACKG PAP ROUNDT 2 H
   Ghimire A, 2012, 6 SAS RCO
   Ghimire S, 2014, MY REPUBLICA    0424
   Hannam K., 2006, MOBILITIES-UK, V1, P1, DOI DOI 10.1080/17450100500489189
   Holmelin N, 2014, DOLAKHA FARMERS LEAR
   Humber Community Project, 2008, COASTAL FUTURES
   ICIMOD (International Centre for Integrated Mountain Development), 2014, 20143 ICIMOD
   Jaquet S, 2015, APPL GEOGR, V62, P157, DOI 10.1016/j.apgeog.2015.04.013
   Kharel Paras., 2011, REMITTANCES DEV RESO
   Khatiwada PP, 2012, NEPAL MIGRATION YB
   Lokshin M., 2007, 4231 WORLD BANK
   Lucas R.E. B., 2005, INT MIGRATION EC DEV
   Maharjan A., 2013, MIGRATION LABOUR ITS
   Massey D, 2007, 07615 POP STUD CTR U
   MASSEY DS, 1993, POPUL DEV REV, V19, P431, DOI 10.2307/2938462
   Nepal Living Standard Survey NLSS, 2010, STAT REP, V2
   Nepal Rastra Bank, 2008, HOUS BUDG SURV NEP
   NIDS (Nepal Institute for Development Studies), 2012, MIGR YB 2011
   Rijal Y, 2013, ISA S SOC GERM
   SAARC, 2014, ROL REM EC FIN DEV S
   Sedhai R, 2012, KATHMANDU POST  1211
   Sedhai R, 2014, KATHMANDU POST  1219
   Sherpa D., 2010, Labour migration and remittances in Nepal
   Shishido H., 2009, LARGE SCALE MIGRATIO
   Sudmeier-Rieux K, 2012, COMM ENV DISAST RISK, V11, P119, DOI 10.1108/S2040-7262(2012)0000011013
   Sunam R, 2014, J ETHN MIGR STUD, V40, P2030, DOI 10.1080/1369183X.2014.948393
   UN (United Nations), 2013, INT YOUTH DAY FOC RI
   UN (United Nations), 2013, HIMALAYAN TIMES 0811
   Upreti B.R., 2009, Nepal from war to peace: Legacies of the past and hopes for the future
   Upreti BR, 2012, 7 ODI
   Urry J., 2007, Mobilities
   Warner K, 2014, CLIM DEV, V6, P1, DOI 10.1080/17565529.2013.835707
   *WORLD BANK, 2011, LARG SCAL MIGR REM N
   World Bank, 2014, NEP COUNTR SNAPSH
   World Bank, 2009, NEP MIGR SURV
   World Bank Group Nepal, 2013, MIGR ENTR NEP FOC YO
NR 55
TC 5
Z9 5
U1 0
U2 5
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
BN 978-3-319-33880-4; 978-3-319-33878-1
PY 2017
BP 145
EP 160
DI 10.1007/978-3-319-33880-4_9
D2 10.1007/978-3-319-33880-4
PG 16
WC Demography; Green & Sustainable Science & Technology
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH)
SC Demography; Science & Technology - Other Topics
GA BI0ZI
UT WOS:000405330800010
DA 2025-01-10
ER

PT J
AU Beheshtian, A
   Donaghy, KP
   Geddes, RR
   Gao, HO
AF Beheshtian, Arash
   Donaghy, Kieran P.
   Geddes, R. Richard
   Gao, H. Oliver
TI Climate-adaptive planning for the long-term resilience of transportation
   energy infrastructure
SO TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
LA English
DT Article
DE Transportation energy; Climate-adaptive planning; Resilience; Sea level
   rise; Flooding
ID SEA-LEVEL RISE; NEW-YORK-CITY; SUPPLY-CHAIN; FACILITY LOCATION;
   ORGANIZATIONAL RESILIENCE; REGRET MINIMIZATION; DISASTER RESPONSE;
   NETWORK DESIGN; ADAPTATION; MANAGEMENT
AB This paper investigates a long-term planning response to the climate-vulnerability of transportation energy infrastructure in the borough of Manhattan, NY. The proposed model, a two-stage stochastic optimization, features a hybrid utility-regret function with increasing relative and decreasing absolute risk aversion. Modeling results suggest (1) investment in early- and late-stage resilience-enhancing solutions as a complementary approach with significant weight on immediate actions, and (2) a decentralized supply chain formation through an early-stage deployment of reservoir tanks within the case study area.
C1 [Beheshtian, Arash; Donaghy, Kieran P.] Cornell Univ, Dept City & Reg Planning, Ithaca, NY USA.
   [Beheshtian, Arash; Geddes, R. Richard; Gao, H. Oliver] Cornell Univ, Cornell Program Infrastruct Policy, Dept Policy Anal & Management, Ithaca, NY USA.
   [Gao, H. Oliver] Cornell Univ, Sch Civil & Environm Engn, Ithaca, NY 14853 USA.
C3 Cornell University; Cornell University; Cornell University
RP Gao, HO (corresponding author), Cornell Univ, Sch Civil & Environm Engn, Ithaca, NY 14853 USA.
EM HG55@cornell.edu
FU NSF [CMMI-1462289]; Natural Science Foundation of China (NSFC)
   [71428001]; Lloyd's Register Foundation [80034]; Academy of Finland
   (AKA) [80034] Funding Source: Academy of Finland (AKA)
FX Co-author H. Gao acknowledges partial support by NSF project
   CMMI-1462289, Natural Science Foundation of China (NSFC) project
   #71428001, and Lloyd's Register Foundation project agreement ID: 80034.
   We thank the reviewers for their comments and suggestions, which helped
   us improve the paper.
CR Aerts JCJH, 2013, RISK ANAL, V33, P772, DOI 10.1111/risa.12008
   Aleksic A, 2013, J LOSS PREVENT PROC, V26, P1238, DOI 10.1016/j.jlp.2013.06.004
   Alexander A, 2014, SUPPLY CHAIN MANAG, V19, P504, DOI 10.1108/SCM-01-2014-0007
   [Anonymous], 2009, CEC5002009024F
   [Anonymous], 2013, HSFE60130002
   [Anonymous], 2012, EM TREE RISK MAN NYC
   [Anonymous], MIGR ASS TEAM REP
   [Anonymous], ADAPTATION PLANNING
   [Anonymous], 2013, NAT ASS CONV STOR RE
   [Anonymous], PLANNING RESILIENT I
   [Anonymous], N ATL COAST COMPR ST
   [Anonymous], 2010, HARDENING RESILIENCY
   [Anonymous], KEY FLOOD RISK MAN T
   [Anonymous], 2014, CLIM CHANG 2014 IMP
   [Anonymous], 2017, CLIMATE SEA LEVEL RI
   [Anonymous], 2007, 543 FEMA
   [Anonymous], 2015, CLIM CHANG US BEN GL
   Azadeh A, 2014, SAFETY SCI, V68, P99, DOI 10.1016/j.ssci.2014.03.004
   Bakshi N, 2009, PROD OPER MANAG, V18, P583, DOI [10.1111/j.1937-5956.2009.01031.x, 10.3401/poms.1080.01031]
   Barbarosoglu G, 2004, J OPER RES SOC, V55, P43, DOI 10.1057/palgrave.jors.2601652
   Beheshtian A, 2018, J CLEAN PROD, V174, P1299, DOI 10.1016/j.jclepro.2017.11.039
   Beheshtian A, 2017, INT J DISAST RISK RE, V24, P312, DOI 10.1016/j.ijdrr.2017.06.021
   Beheshtian A, 2016, TRANSPORT RES REC, P81, DOI 10.3141/2599-10
   Bertsimas D, 2011, SIAM REV, V53, P464, DOI 10.1137/080734510
   Butler WH, 2016, J PLAN EDUC RES, V36, P319, DOI 10.1177/0739456X16647161
   Carvalho H, 2012, COMPUT IND ENG, V62, P329, DOI 10.1016/j.cie.2011.10.003
   Casselman B., 2009, WALL STREET J, V4
   Chen G, 2006, NAV RES LOG, V53, P617, DOI 10.1002/nav.20180
   Chorus C, 2014, J BUS RES, V67, P2428, DOI 10.1016/j.jbusres.2014.02.010
   City of New York, 2013, STRONG MOR RES NEW Y
   Comes T., 2014, ISCRAM
   Costaa R., NETWORK MODEL ASSESS
   Cruz AM, 2013, CLIMATIC CHANGE, V121, P41, DOI 10.1007/s10584-013-0891-4
   CURRENT JR, 1985, EUR J OPER RES, V21, P189, DOI 10.1016/0377-2217(85)90030-X
   Daskin M. S., 1997, Location Science, V5, P227, DOI 10.1016/S0966-8349(98)00036-9
   Fahimnia B, 2015, EUR J OPER RES, V247, P1, DOI 10.1016/j.ejor.2015.04.034
   Falasca M., 2008, Proceedings of the 5th International ISCRAM Conference, (May 2008), P596
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Hoffman P., 2013, Technical report
   Hoffman P., 2009, Comparing the Impacts of the 2005 and 2008 Hurricanes on US Energy Infrastructure
   Horton R, 2015, ANN NY ACAD SCI, V1336, P36, DOI 10.1111/nyas.12593
   Hosseini S, 2016, RELIAB ENG SYST SAFE, V145, P47, DOI 10.1016/j.ress.2015.08.006
   Huq S., 2014, STRUCTURE, V14, P2
   Kirshen P.H., 2015, AGU FALL M
   Klijn F, 2015, MITIG ADAPT STRAT GL, V20, P845, DOI 10.1007/s11027-015-9638-z
   Koch J.V., 2010, Journal of Regional Analysis Policy, V40, P53
   Li XP, 2017, SOCIO-ECON PLAN SCI, V57, P25, DOI 10.1016/j.seps.2016.08.001
   Liberatore F, 2011, ANN ASSOC AM GEOGR, V101, P1241, DOI 10.1080/00045608.2011.584294
   Linkov I, 2014, NAT CLIM CHANGE, V4, P407, DOI 10.1038/nclimate2227
   Martin Suzanne, 2015, EXAMPLES NO REGRET L
   Mete HO, 2010, INT J PROD ECON, V126, P76, DOI 10.1016/j.ijpe.2009.10.004
   Miller-Hooks E, 2012, COMPUT OPER RES, V39, P1633, DOI 10.1016/j.cor.2011.09.017
   O'Rourke T.D., 2007, Bridge-Washington-National Academy of Engineering, V37, P22, DOI DOI 10.1061/9780784412824.CH10
   Owen SH, 1998, EUR J OPER RES, V111, P423, DOI 10.1016/S0377-2217(98)00186-6
   Pishvaee MS, 2012, APPL MATH MODEL, V36, P3433, DOI 10.1016/j.apm.2011.10.007
   Rajesh R, 2015, J CLEAN PROD, V86, P343, DOI 10.1016/j.jclepro.2014.08.054
   Rawls CG, 2011, OR SPECTRUM, V33, P481, DOI 10.1007/s00291-011-0248-1
   Rawls CG, 2010, TRANSPORT RES B-METH, V44, P521, DOI 10.1016/j.trb.2009.08.003
   Redlener I, 2012, NEW ENGL J MED, V367, P2269, DOI 10.1056/NEJMp1213486
   Rose Adam, 2016, CAPTURING COBENEFITS
   Sahebjamnia N, 2015, EUR J OPER RES, V242, P261, DOI 10.1016/j.ejor.2014.09.055
   Santoso T, 2005, EUR J OPER RES, V167, P96, DOI 10.1016/j.ejor.2004.01.046
   Sheffi Y, 2005, MIT SLOAN MANAGE REV, V47, P41
   Sheffi Y., 2005, The resilient enterprise: overcoming vulnerability for competitive advantage, P1
   Snyder L.V., 2006, IIE Transactions, V38, P547, DOI DOI 10.1080/07408170500216480
   Suzuki Y, 2012, J BUS LOGIST, V33, P145, DOI 10.1111/j.0000-0000.2012.01047.x
   Tanner T, 2015, NAT CLIM CHANGE, V5, P23, DOI 10.1038/NCLIMATE2431
   Thanki S, 2016, J CLEAN PROD, V135, P284, DOI 10.1016/j.jclepro.2016.06.105
   Torabi SA, 2015, TRANSPORT RES E-LOG, V79, P22, DOI 10.1016/j.tre.2015.03.005
   Torres H, 2016, INT J DISAST RISK RE, V19, P36, DOI 10.1016/j.ijdrr.2016.08.007
   Tsvetanov TG, 2013, CLIMATIC CHANGE, V121, P177, DOI 10.1007/s10584-013-0848-7
   Turnquist Mark, 2013, Environment Systems & Decisions, V33, P104, DOI 10.1007/s10669-012-9428-z
   Wang Z, 2017, KSCE J CIV ENG, V21, P440
   Wilson M.L., 2015, SAND20152696 SNLNM
NR 74
TC 21
Z9 22
U1 7
U2 80
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 1366-5545
J9 TRANSPORT RES E-LOG
JI Transp. Res. Pt. e-Logist. Transp. Rev.
PD MAY
PY 2018
VL 113
SI SI
BP 99
EP 122
DI 10.1016/j.tre.2018.02.009
PG 24
WC Economics; Engineering, Civil; Operations Research & Management Science;
   Transportation; Transportation Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Business & Economics; Engineering; Operations Research & Management
   Science; Transportation
GA GH4VB
UT WOS:000433401900007
DA 2025-01-10
ER

PT J
AU Waldvogel, AM
   Wieser, A
   Schell, T
   Patel, S
   Schmidt, H
   Hankeln, T
   Feldmeyer, B
   Pfenninger, M
AF Waldvogel, Ann-Marie
   Wieser, Andreas
   Schell, Tilman
   Patel, Simit
   Schmidt, Hanno
   Hankeln, Thomas
   Feldmeyer, Barbara
   Pfenninger, Markus
TI The genomic footprint of climate adaptation in <i>Chironomus
   riparius</i>
SO MOLECULAR ECOLOGY
LA English
DT Article
DE Diptera; Latent Factor Mixed Model; Multiple Sequential Markovian
   Coalescence; population divergence; temperature; thermal selection
ID PIGER STRENZKE DIPTERA; POOLED DNA SAMPLES; DROSOPHILA-MELANOGASTER;
   LOCAL ADAPTATION; GENETIC DIVERSITY; CLINAL VARIATION; FRESH-WATER;
   ECOLOGICAL GENOMICS; NEXT-GENERATION; WIDE PATTERNS
AB The gradual heterogeneity of climatic factors poses varying selection pressures across geographic distances that leave signatures of clinal variation in the genome. Separating signatures of clinal adaptation from signatures of other evolutionary forces, such as demographic processes, genetic drift and adaptation, to nonclinal conditions of the immediate local environment is a major challenge. Here, we examine climate adaptation in five natural populations of the harlequin fly Chironomus riparius sampled along a climatic gradient across Europe. Our study integrates experimental data, individual genome resequencing, Pool-Seq data and population genetic modelling. Common-garden experiments revealed significantly different population growth rates at test temperatures corresponding to the population origin along the climate gradient, suggesting thermal adaptation on the phenotypic level. Based on a population genomic analysis, we derived empirical estimates of historical demography and migration. We used an F-ST outlier approach to infer positive selection across the climate gradient, in combination with an environmental association analysis. In total, we identified 162 candidate genes as genomic basis of climate adaptation. Enriched functions among these candidate genes involved the apoptotic process and molecular response to heat, as well as functions identified in studies of climate adaptation in other insects. Our results show that local climate conditions impose strong selection pressures and lead to genomic adaptation despite strong gene flow. Moreover, these results imply that selection to different climatic conditions seems to converge on a functional level, at least between different insect species.
C1 [Waldvogel, Ann-Marie; Wieser, Andreas; Schell, Tilman] Goethe Univ, Mol Ecol Grp, Inst Ecol Evolut & Divers, Frankfurt, Hesse, Germany.
   [Waldvogel, Ann-Marie; Wieser, Andreas; Schell, Tilman; Patel, Simit; Feldmeyer, Barbara; Pfenninger, Markus] Senckenberg Biodivers & Climate Res Ctr, Frankfurt, Hesse, Germany.
   [Schmidt, Hanno] Univ Calif Davis, Pathol Microbiol & Immunol, Davis, CA 95616 USA.
   [Hankeln, Thomas] Johannes Gutenberg Univ Mainz, Inst Organism & Mol Evolut, Mol Genet & Genome Anal, Mainz, Rhineland Palat, Germany.
C3 Goethe University Frankfurt; Senckenberg Biodiversitat & Klima-
   Forschungszentrum (BiK-F); Leibniz Association; Senckenberg Gesellschaft
   fur Naturforschung (SGN); University of California System; University of
   California Davis; Johannes Gutenberg University of Mainz
RP Waldvogel, AM (corresponding author), Goethe Univ, Mol Ecol Grp, Inst Ecol Evolut & Divers, Frankfurt, Hesse, Germany.
EM Ann-Marie.Waldvogel@senckenberg.de
RI Schmidt, Hanno/HQY-8914-2023; Waldvogel (née Oppold),
   Ann-Marie/GYD-8903-2022; Feldmeyer, Barbara/E-5067-2015; Schmidt,
   Hanno/H-3345-2018
OI Feldmeyer, Barbara/0000-0002-0413-7245; Waldvogel,
   Ann-Marie/0000-0003-2637-0766; Schell, Tilman/0000-0002-6431-6018;
   Schmidt, Hanno/0000-0001-8915-891X
FU FAZIT-Stiftung; DFG [PF390/8-1]
FX DFG, Grant/Award Number: PF390/8-1; FAZIT-Stiftung
CR ACTON AB, 1956, PROC R SOC SER B-BIO, V145, P347, DOI 10.1098/rspb.1956.0047
   Adrion JR, 2015, TRENDS GENET, V31, P434, DOI 10.1016/j.tig.2015.05.006
   Alexa A., 2016, ANN LIMNOLOGIE INT J
   Antrop M, 2004, LANDSCAPE URBAN PLAN, V67, P9, DOI 10.1016/S0169-2046(03)00026-4
   Armitage P., 1997, The Chironomidae: Biology and ecology of non-biting midges, V2nd
   Barton NH, 1999, GENET RES, V74, P223, DOI 10.1017/S001667239900422X
   Beaumont MA, 2005, TRENDS ECOL EVOL, V20, P435, DOI 10.1016/j.tree.2005.05.017
   Beaumont MA, 2004, MOL ECOL, V13, P969, DOI 10.1111/j.1365-294X.2004.02125.x
   Beerli P, 2006, BIOINFORMATICS, V22, P341, DOI 10.1093/bioinformatics/bti803
   Beerli P, 2001, P NATL ACAD SCI USA, V98, P4563, DOI 10.1073/pnas.081068098
   BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
   Bergland AO, 2016, MOL ECOL, V25, P1157, DOI 10.1111/mec.13455
   Bergland AO, 2014, PLOS GENET, V10, DOI 10.1371/journal.pgen.1004775
   Bierne N, 2011, MOL ECOL, V20, P2044, DOI 10.1111/j.1365-294X.2011.05080.x
   Bozicevic V, 2016, MOL ECOL, V25, P1175, DOI 10.1111/mec.13464
   Caceres M, 1997, EVOLUTION, V51, P1149, DOI 10.1111/j.1558-5646.1997.tb03962.x
   Calle-Martínez D, 2006, J N AM BENTHOL SOC, V25, P465, DOI 10.1899/0887-3593(2006)25[465:CSSCAW]2.0.CO;2
   Cheng CD, 2012, GENETICS, V190, P1417, DOI 10.1534/genetics.111.137794
   Clarke A, 2004, FUNCT ECOL, V18, P243, DOI 10.1111/j.0269-8463.2004.00841.x
   Clarke A, 2003, TRENDS ECOL EVOL, V18, P573, DOI 10.1016/j.tree.2003.08.007
   Coast GM, 2002, ADV INSECT PHYSIOL, V29, P279, DOI 10.1016/S0065-2806(02)29004-9
   De Mita S, 2013, MOL ECOL, V22, P1383, DOI 10.1111/mec.12182
   de Villemereuil P, 2014, MOL ECOL, V23, P2006, DOI 10.1111/mec.12705
   Delaneau O, 2013, AM J HUM GENET, V93, P687, DOI 10.1016/j.ajhg.2013.09.002
   Ellegren H, 2016, NAT REV GENET, V17, P422, DOI 10.1038/nrg.2016.58
   Excoffier L, 2009, HEREDITY, V103, P285, DOI 10.1038/hdy.2009.74
   Excoffier L, 2011, BIOINFORMATICS, V27, P1332, DOI 10.1093/bioinformatics/btr124
   Excoffier L, 2010, MOL ECOL RESOUR, V10, P564, DOI 10.1111/j.1755-0998.2010.02847.x
   Fabian DK, 2012, MOL ECOL, V21, P4748, DOI 10.1111/j.1365-294X.2012.05731.x
   Feder ME, 1999, ANNU REV PHYSIOL, V61, P243, DOI 10.1146/annurev.physiol.61.1.243
   Ferrington LC, 2008, HYDROBIOLOGIA, V595, P447, DOI 10.1007/s10750-007-9130-1
   Flatt T, 2016, MOL ECOL, V25, P1023, DOI 10.1111/mec.13534
   Fraser DJ, 2011, HEREDITY, V106, P404, DOI 10.1038/hdy.2010.167
   Frichot E, 2015, METHODS ECOL EVOL, V6, P925, DOI 10.1111/2041-210X.12382
   Frichot E, 2013, MOL BIOL EVOL, V30, P1687, DOI 10.1093/molbev/mst063
   Futschik A, 2010, GENETICS, V186, P207, DOI 10.1534/genetics.110.114397
   Gilchrist GW, 1997, PHYSIOL ZOOL, V70, P403, DOI 10.1086/515853
   Gillooly JF, 2001, SCIENCE, V293, P2248, DOI 10.1126/science.1061967
   Grebenjuk LP, 2014, INLAND WATER BIOL, V7, P273, DOI 10.1134/S1995082914030092
   Groenendijk Dick, 1998, Aquatic Ecology, V32, P341, DOI 10.1023/A:1009951709797
   Günther T, 2013, GENETICS, V195, P205, DOI 10.1534/genetics.113.152462
   Hägele K, 1999, J ZOOL SYST EVOL RES, V37, P161
   Hereford J, 2004, EVOLUTION, V58, P2133
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   HOFFMANN AA, 1993, AM NAT, V142, pS93, DOI 10.1086/285525
   Hoffmann AA, 2002, ECOL LETT, V5, P614, DOI 10.1046/j.1461-0248.2002.00367.x
   Hoffmann AA, 2007, GENETICA, V129, P133, DOI 10.1007/s10709-006-9010-z
   Hu YT, 2017, SCI REP-UK, V7, DOI 10.1038/srep41255
   JAKUBOWSKI H, 1993, FEBS LETT, V317, P237, DOI 10.1016/0014-5793(93)81283-6
   Jones P, 2014, BIOINFORMATICS, V30, P1236, DOI 10.1093/bioinformatics/btu031
   Julia I, 2007, CARYOLOGIA, V60, P299, DOI 10.1080/00087114.2007.10797951
   Kapun M, 2016, MOL BIOL EVOL, V33, P1317, DOI 10.1093/molbev/msw016
   Kent D, 2006, DEVELOPMENT, V133, P2001, DOI 10.1242/dev.02370
   KEYL HG, 1963, CHROMOSOMA, V13, P588
   Klopfstein S, 2006, MOL BIOL EVOL, V23, P482, DOI 10.1093/molbev/msj057
   Kofler R, 2011, BIOINFORMATICS, V27, P3435, DOI 10.1093/bioinformatics/btr589
   Kolaczkowski B, 2011, GENETICS, V187, P245, DOI 10.1534/genetics.110.123059
   Lee Y, 2005, NAT GENET, V37, P305, DOI 10.1038/ng1513
   Levine MT, 2008, GENETICS, V179, P475, DOI 10.1534/genetics.107.085423
   LEWONTIN RC, 1973, GENETICS, V74, P175
   Loya-Rebollar E, 2013, SILVAE GENET, V62, P86, DOI 10.1515/sg-2013-0011
   Mallet J, 2007, BMC EVOL BIOL, V7, DOI 10.1186/1471-2148-7-28
   Mallet J, 2016, BIOESSAYS, V38, P140, DOI 10.1002/bies.201500149
   McKenna A, 2010, GENOME RES, V20, P1297, DOI 10.1101/gr.107524.110
   Michailova P, 2015, ECOTOX ENVIRON SAFE, V111, P220, DOI 10.1016/j.ecoenv.2014.10.018
   Müller R, 2012, ECOL EVOL, V2, P196, DOI 10.1002/ece3.71
   Narum SR, 2011, MOL ECOL RESOUR, V11, P184, DOI 10.1111/j.1755-0998.2011.02987.x
   Nemec S, 2013, OECOLOGIA, V172, P585, DOI 10.1007/s00442-012-2517-3
   Nemec S, 2012, HYDROBIOLOGIA, V691, P203, DOI 10.1007/s10750-012-1074-4
   Oppold A, 2015, ECOTOX ENVIRON SAFE, V122, P45, DOI 10.1016/j.ecoenv.2015.06.036
   Oppold AM, 2017, EVOL LETT, V1, P86, DOI 10.1002/evl3.8
   Oppold AM, 2017, MOL ECOL, V26, P3256, DOI 10.1111/mec.14111
   Oppold AM, 2016, P ROY SOC B-BIOL SCI, V283, DOI 10.1098/rspb.2015.2413
   PARSONS PA, 1977, AUST J ZOOL, V25, P693, DOI 10.1071/ZO9770693
   Pavlidis P, 2012, MOL BIOL EVOL, V29, P3237, DOI 10.1093/molbev/mss136
   Pedrosa JAM, 2017, ECOTOX ENVIRON SAFE, V141, P280, DOI 10.1016/j.ecoenv.2017.03.004
   Pedrosa JAM, 2017, SCI TOTAL ENVIRON, V576, P807, DOI 10.1016/j.scitotenv.2016.10.100
   Pfenninger M, 2007, MOL ECOL, V16, P1957, DOI 10.1111/j.1365-294X.2006.03136.x
   Pfenninger M, 2015, MOL ECOL, V24, P5446, DOI 10.1111/mec.13397
   Pfenninger M, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0002157
   Pinder L. C. V., 1986, BIOL FRESHWATER CHIR
   Quistad GB, 2000, CHEM RES TOXICOL, V13, P652, DOI 10.1021/tx000028o
   R CoreTeam, 2015, R LANG ENV STAT COMP
   Savolainen O, 2013, NAT REV GENET, V14, P807, DOI 10.1038/nrg3522
   Savolainen O, 2011, SCIENCE, V334, P49, DOI 10.1126/science.1213788
   Schiffels S, 2014, NAT GENET, V46, P919, DOI 10.1038/ng.3015
   Schmidt H, 2013, BMC GENOMICS, V14, DOI 10.1186/1471-2164-14-384
   Schmidt PS, 2008, P NATL ACAD SCI USA, V105, P16207, DOI 10.1073/pnas.0805485105
   Schwedes CC, 2012, J INSECT PHYSIOL, V58, P293, DOI 10.1016/j.jinsphys.2012.01.013
   Sella G, 2009, PLOS GENET, V5, DOI 10.1371/journal.pgen.1000495
   Sezgin E, 2004, GENETICS, V168, P923, DOI 10.1534/genetics.104.027649
   Shapiro BJ, 2016, PLOS GENET, V12, DOI 10.1371/journal.pgen.1005860
   Silva G, 2014, P ROY SOC B-BIOL SCI, V281, DOI 10.1098/rspb.2014.1093
   SIMKISS K, 1989, MAR ENVIRON RES, V28, P211, DOI 10.1016/0141-1136(89)90227-4
   Sokolova N.Y., 1992, NETHERLAND J AQUAT E, V26, P509, DOI [10.1007/BF02255283, DOI 10.1007/BF02255283]
   STEPHANOU G, 1983, GENETICS, V103, P93
   Turner TL, 2008, GENETICS, V179, P455, DOI 10.1534/genetics.107.083659
   Valanne S, 2011, J IMMUNOL, V186, P649, DOI 10.4049/jimmunol.1002302
   Vogt C, 2007, CHEMOSPHERE, V67, P2192, DOI 10.1016/j.chemosphere.2006.12.025
   Wai I, 2013, ENVIRON TOXICOL CHEM, V32, P1882, DOI 10.1002/etc.2265
   Wellenreuther M, 2016, TRENDS GENET, V32, P155, DOI 10.1016/j.tig.2015.12.004
   Yampolsky LY, 2014, BMC GENOMICS, V15, DOI 10.1186/1471-2164-15-859
NR 102
TC 47
Z9 49
U1 3
U2 65
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0962-1083
EI 1365-294X
J9 MOL ECOL
JI Mol. Ecol.
PD MAR
PY 2018
VL 27
IS 6
BP 1439
EP 1456
DI 10.1111/mec.14543
PG 18
WC Biochemistry & Molecular Biology; Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology; Environmental Sciences & Ecology;
   Evolutionary Biology
GA GD0HY
UT WOS:000430183100009
PM 29473242
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Wu, J
   Zhou, BT
   Xu, Y
AF Wu Jia
   Zhou Bo-Tao
   Xu Ying
TI Response of precipitation and its extremes over China to warming: CMIP5
   simulation and projection
SO CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
LA Chinese
DT Article
DE Warming; CMIP5; Precipitation; Precipitation extremes; Regional response
ID CLIMATE-CHANGE; TEMPERATURE; VARIABILITY; SCENARIOS; DATASET; TRENDS
AB The relationship between regional precipitation change and warming is an important open issue in climate change physical science. Because precipitation in China has strong sensitivity to warming, quantitative assessment and projection on the responses of precipitation and its extremes in a warming world are crucial for better understanding of regional climate change and helpful for regional adaption to climate change.
   For this reason, based on simulations of 24 models from Coupled Model Intercomparison Project Phase 5 (CMIP5), this study assesses the ability of the models in simulating the responses of annual mean precipitation and its extremes to warming over China and its subregions, and then projects their change under the RCP4. 5 and RCP8. 5 scenarios that represent respectively a medium-low and high radiative forcing. The annual mean precipitation is defined as the total amount of precipitation from January to December. The precipitation extremes are measured by the R95p (very wet days) and R99p (extremely wet days) indices, which are defined by the Expert Team on Climate Change Detection and Indices (ETCCDI). According to the definition of ETCCDI, the R95p and R99p refer to annual total precipitation when the daily precipitation exceeds the 95th and the 99th percentile of the wet day precipitation, respectively. Eight subregions determined by administrative boundaries and societal and geographical conditions, i. e., NEC(Northeast China), NC(North China), EC (East China), CC (Central China), SC (South China), SWC1 (Tibetan Plateau), SWC2(Southwest China), and NWC(Northwest China), are used in this study. The model performance is validated through the comparison for the time period from 1961 to 2005 between the historical simulation and the gridding observation dataset with a horizontal resolution of 0. 25 degrees X 0. 25 degrees in latitude and longitude.
   Quantitative analysis shows that the CMIP5 multi-model ensemble (MME) can generally capture the spatial features of the temperature, mean precipitation and precipitation extremes as well as the relationship of precipitation and its extremes with temperature over China. However, it underestimates the response of mean precipitation while overestimates the response of precipitation extremes over China region in historical period. The CMIP5 MME also has some abilities in reproducing the responses of the mean precipitation and its extremes to the warming over the subregions of China, and better performance can be found for the precipitation extremes. Under the RCP4. 5 and RCP8. 5 scenarios, concurrent with the temperature rising, the mean precipitation and precipitation extremes are projected to increase consistently over China. As the regional mean temperature rises by 1 degrees C, the mean precipitation will increase by 3. 5% and 2. 4%, and the R95p will increase by 8. 0% and 11., respectively. The response of R99p is much more sensitive, respectively with an increase of 15. 3% and 21. 6%. For the subregions of China, they all show positive response and the regional difference will decrease in the future. Moreover, the sensitivity of the precipitation extremes to the warming is higher than that of the mean precipitation. The stronger the precipitation extreme is, the higher sensitivity it will have. Besides, the response of the mean precipitation to the warming is larger in Northern China than in Southern China. The largest increases in R95p and R99p are projected in the Tibetan Plateau and Southwest China, indicating an increasing risk of heavy rainfall and floods.
C1 [Wu Jia; Zhou Bo-Tao; Xu Ying] Natl Climate Ctr, Beijing 100081, Peoples R China.
   [Zhou Bo-Tao] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing 210044, Jiangsu, Peoples R China.
C3 Nanjing University of Information Science & Technology
RP Wu, J (corresponding author), Natl Climate Ctr, Beijing 100081, Peoples R China.
EM wujia@cma.gov.cn; zhoubt@cma.gov.cn
RI Wu, Jia/C-8393-2013
CR [Anonymous], 2007, ADV CLIM CHANG RES
   [Anonymous], CONTRIBUTION WORKING, DOI [DOI 10.1017/CBO9781107415324, 10.1017/CBO9781107415324]
   Chen HP, 2014, ATMOS OCEAN SCI LETT, V7, P422, DOI 10.3878/j.issn.1674-2834.14.0028
   Chen HP, 2013, CHINESE SCI BULL, V58, P1462, DOI 10.1007/s11434-012-5612-2
   Chen X., 2014, THESIS CHINESE ACAD
   Gao XJ, 2013, ATMOS OCEAN SCI LETT, V6, P381, DOI 10.3878/j.issn.1674-2834.13.0029
   Gao XJ, 2012, CLIM RES, V52, P213, DOI 10.3354/cr01084
   Huang YY, 2015, CLIM DYNAM, V44, P2035, DOI 10.1007/s00382-014-2194-5
   Huang YY, 2014, J CLIMATE, V27, P8126, DOI 10.1175/JCLI-D-14-00209.1
   Jiang DD, 2009, CHINESE SCI BULL, V54, P3326, DOI 10.1007/s11434-009-0313-1
   Jiang DB, 2005, ADV ATMOS SCI, V22, P479, DOI 10.1007/BF02918482
   Lambert F.H., 2008, EOS T AM GEOPHYS UN, V89, P193, DOI [10.1029/2008EO210001, DOI 10.1029/2008EO210001]
   Lang XM, 2013, CHINESE SCI BULL, V58, P1453, DOI 10.1007/s11434-012-5520-5
   Li HM, 2011, ADV ATMOS SCI, V28, P433, DOI 10.1007/s00376-010-0013-4
   Li Z, 2010, ADV ATMOS SCI, V27, P777, DOI 10.1007/s00376-009-9052-0
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   National Report Committee, 2011, CHIN NAT ASS REP CLI
   Phillips TJ, 2006, WATER RESOUR RES, V42, DOI 10.1029/2005WR004313
   Qian WH, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2007GL029631
   [Solomon S. IPCC IPCC], 2007, CLIMATE CHANGE 2007
   Sui Y, 2014, CLIMATIC CHANGE, V125, P265, DOI 10.1007/s10584-014-1151-y
   Sun JQ, 2013, CHINESE SCI BULL, V58, P1395, DOI 10.1007/s11434-012-5542-z
   Sun JQ, 2010, J GEOPHYS RES-ATMOS, V115, DOI 10.1029/2009JD013541
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Trenberth KE, 2005, CLIM DYNAM, V24, P741, DOI 10.1007/s00382-005-0017-4
   Wang HJ, 2012, METEOROL Z, V21, P279, DOI 10.1127/0941-2948/2012/0330
   Wentz FJ, 2007, SCIENCE, V317, P233, DOI 10.1126/science.1140746
   Wu J, 2015, ATMOS OCEAN SCI LETT, V8, P147, DOI 10.3878/AOSL20150013
   Wu J, 2013, CHINESE J GEOPHYS-CH, V56, P1102, DOI 10.6038/cjg20130406
   Xu CH, 2012, ATMOS OCEAN SCI LETT, V5, P527, DOI 10.1080/16742834.2012.11447042
   Xu JY, 2013, CHINESE SCI BULL, V58, P1443, DOI 10.1007/s11434-012-5548-6
   Xu Y, 2009, QUATERN INT, V208, P44, DOI 10.1016/j.quaint.2008.12.020
   Xu Y, 2009, ADV ATMOS SCI, V26, P783, DOI 10.1007/s00376-009-9034-2
   Xu YF, 2009, ADV ATMOS SCI, V26, P265, DOI 10.1007/s00376-009-0265-z
   Yang KQ, 2014, ATMOS OCEAN SCI LETT, V7, P330, DOI 10.3878/j.issn.1674-2834.14.0003
   [叶柏生 YE Baisheng], 2008, [冰川冻土, Journal of Glaciology and Geocryology], V30, P717
   Zhai PM, 2005, J CLIMATE, V18, P1096, DOI 10.1175/JCLI-3318.1
   Zhao P, 2010, J CLIMATE, V23, P1544, DOI 10.1175/2009JCLI2660.1
   Zhou BT, 2014, J CLIMATE, V27, P6591, DOI 10.1175/JCLI-D-13-00761.1
NR 39
TC 54
Z9 94
U1 9
U2 108
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 0001-5733
J9 CHINESE J GEOPHYS-CH
JI Chinese J. Geophys.-Chinese Ed.
PD SEP
PY 2015
VL 58
IS 9
BP 3048
EP 3060
DI 10.6038/cjg20150903
PG 13
WC Geochemistry & Geophysics
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geochemistry & Geophysics
GA CS4QB
UT WOS:000362059900003
DA 2025-01-10
ER

PT C
AU Johnsen, O
   Kvaalen, H
   Yakovlev, I
   Daehlen, OG
   Fossdal, CG
   Skroppa, T
AF Johnsen, O.
   Kvaalen, H.
   Yakovlev, I.
   Daehlen, O. G.
   Fossdal, C. G.
   Skroppa, T.
BE Gusta, LV
   Wisniewski, ME
   Tanino, KK
TI An Epigenetic Memory From Time of Embryo Development Affects Climatic
   Adaptation in Norway Spruce
SO PLANT COLD HARDINESS: FROM THE LABORATORY TO THE FIELD
LA English
DT Proceedings Paper
CT 8th International Plant Cold Hardiness Seminar (8IPCHS)
CY AUG 03-09, 2007
CL Univ Saskatchewan, Saskatoon, CANADA
HO Univ Saskatchewan
ID AUTUMN FROST-HARDINESS; PICEA-ABIES; SEED ORCHARD; BUD-SET; REPRODUCTIVE
   DEVELOPMENT; PHENOTYPIC CHANGES; NORTHERN CLONES; PROGENY PERFORMANCE;
   LATITUDINAL CLINE; FAR-RED
C1 [Johnsen, O.; Kvaalen, H.; Yakovlev, I.; Fossdal, C. G.; Skroppa, T.] Norwegian Forest & Landscape Inst, POB 115, N-1431 As, Norway.
   [Daehlen, O. G.] Biri Nursery & Seed Improvement Ctr, Oppland Forest Soc, N-2836 Biri, Norway.
C3 The Norwegian Forest & Landscape Institute
RP Johnsen, O (corresponding author), Norwegian Forest & Landscape Inst, POB 115, N-1431 As, Norway.
EM oystein.johnsen@skogoglandskap.no
RI Skröppa, Tore/AAF-2272-2021; Yakovlev, Igor/AAO-1314-2020; Fossdal, Carl
   Gunnar/C-5536-2008
OI Fossdal, Carl Gunnar/0000-0002-7390-7864; Yakovlev,
   Igor/0000-0002-2731-7433
CR Aitken SN, 2001, TREE PHYSIOL SER, V1, P23
   Besnard G, 2008, ANN FOREST SCI, V65, DOI 10.1051/forest:2007081
   Beuker E, 1998, FOREST ECOL MANAG, V107, P87, DOI 10.1016/S0378-1127(97)00344-7
   BJORNSTAD A, 1981, 36 MEDD NORSK I SKOG
   Clapham DH, 1998, PHYSIOL PLANTARUM, V102, P71, DOI 10.1034/j.1399-3054.1998.1020110.x
   DAEHLEN AG, 1995, 195 NORW FOR RES I
   Donohue K, 1998, MATERNAL EFFECTS AS ADAPTATIONS, P137
   EDVARDSEN OM, 1996, 996 NORW FOR RES I
   García-Gil MR, 2003, MOL ECOL, V12, P1195, DOI 10.1046/j.1365-294X.2003.01826.x
   HABJORG A, 1972, Meldinger fra Norges Landbrukshogskole, V51, P1
   Hänninen H, 2001, TREE PHYSIOL SER, V1, P305
   HEIDE OM, 1974, PHYSIOL PLANTARUM, V30, P1, DOI 10.1111/j.1399-3054.1974.tb04983.x
   Howe GT, 2003, CAN J BOT, V81, P1247, DOI [10.1139/b03-141, 10.1139/B03-141]
   JOHNSEN O, 1994, SCAND J FOREST RES, V9, P329, DOI 10.1080/02827589409382848
   Johnsen O, 2005, PLANT CELL ENVIRON, V28, P1090, DOI 10.1111/j.1365-3040.2005.01356.x
   JOHNSEN O, 1995, TREE PHYSIOL, V15, P551, DOI 10.1093/treephys/15.7-8.551
   Johnsen O, 1996, THEOR APPL GENET, V92, P797, DOI 10.1007/BF00221890
   JOHNSEN O, 1994, CAN J FOREST RES, V24, P32, DOI 10.1139/x94-005
   Johnsen O, 2005, NEW PHYTOL, V168, P589, DOI 10.1111/j.1469-8137.2005.01538.x
   JOHNSEN O, 1994, SCAND J FOREST RES, V9, P333, DOI 10.1080/02827589409382849
   Johnsen O, 2000, CAN J FOREST RES, V30, P1858, DOI 10.1139/cjfr-30-12-1858
   Johnsen O, 1989, SCAND J FOREST RES, V4, P331, DOI 10.1080/02827588909382570
   Johnsen O, 1989, SCAND J FOREST RES, V4, P317, DOI 10.1080/02827588909382569
   Johnsen O, 1989, SCAND J FOREST RES, V4, P343, DOI 10.1080/02827588909382571
   Junttila O., 1985, Plant production in the north. Proceedings from 'Plant adaptation workshop', Tromso, Norway, 4-9 Sept. 1983, P83
   JUNTTILA O, 1980, PHYSIOL PLANTARUM, V48, P347, DOI 10.1111/j.1399-3054.1980.tb03266.x
   KOHMANN K, 1994, SILVAE GENET, V43, P329
   Kvaalen H, 2008, NEW PHYTOL, V177, P49, DOI 10.1111/j.1469-8137.2007.02222.x
   Lacey EP, 2000, EVOLUTION, V54, P1207, DOI 10.1111/j.0014-3820.2000.tb00555.x
   Molmann JA, 2006, PLANT CELL ENVIRON, V29, P166, DOI 10.1111/j.1365-3040.2005.01408.x
   Molmann JA, 2005, PLANT CELL ENVIRON, V28, P1579, DOI 10.1111/j.1365-3040.2005.01395.x
   Olsen J. E., 2004, Journal of Crop Improvement, V10, P77, DOI 10.1300/J411v10n01_06
   OWENS J. N., 1985, Petawawa Natl. Forestry Inst. Info. Rep. PIX-53
   Owens JN, 2001, SCAND J FOREST RES, V16, P221, DOI 10.1080/028275801750285866
   Rehfeldt GE, 1999, ECOL MONOGR, V69, P375, DOI 10.1890/0012-9615(1999)069[0375:GRTCIP]2.0.CO;2
   Rehfeldt GE, 2002, GLOBAL CHANGE BIOL, V8, P912, DOI 10.1046/j.1365-2486.2002.00516.x
   Rohde A, 2008, NEW PHYTOL, V177, P2, DOI 10.1111/j.1469-8137.2007.02319.x
   SARVAS R, 1968, COMMUNICATIONES I FO, P1
   Saxe H, 2001, NEW PHYTOL, V149, P369, DOI 10.1046/j.1469-8137.2001.00057.x
   Shaw RG, 1998, MATERNAL EFFECTS AS ADAPTATIONS, P97
   Skroppa T., 2000, Forest genetics and sustainability. 4th International Consultation on Forest Genetics and Tree Breeding,  organized by IUFRO Division 2 "Physiology and Genetics"  in cooperation with FAO, and held in Beijing, China, 22-28 August 1998., P49
   Skroppa T, 1988, SCAND J FOREST RES, V3, P437, DOI 10.1080/02827588809382529
   Skroppa T, 2007, CAN J FOREST RES, V37, P515, DOI 10.1139/X06-253
   Sogaard G, 2008, TREE PHYSIOL, V28, P311, DOI 10.1093/treephys/28.2.311
   Wade MJ, 1998, MATERNAL EFFECTS AS ADAPTATIONS, P5
   Webber J, 2005, TREE PHYSIOL, V25, P1219, DOI 10.1093/treephys/25.10.1219
   Yakovlev IA, 2008, PLANTA, V228, P459, DOI 10.1007/s00425-008-0750-0
   Yakovlev IA, 2006, TREE GENET GENOMES, V2, P39, DOI 10.1007/s11295-005-0031-z
NR 48
TC 23
Z9 24
U1 0
U2 13
PU CABI PUBLISHING-C A B INT
PI WALLINGFORD
PA CABI PUBLISHING, WALLINGFORD 0X10 8DE, OXON, ENGLAND
BN 978-1-84593-513-9
PY 2009
BP 99
EP 107
DI 10.1079/9781845935139.0099
PG 9
WC Plant Sciences
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Plant Sciences
GA BWH61
UT WOS:000293890700011
DA 2025-01-10
ER

PT J
AU Tian, D
AF Tian, Di
TI Irrigation expansion in the face of war and climate change
SO NATURE FOOD
LA English
DT Article
AB Climate change and Russian invasion threaten Ukraine's crop production. Data-informed climate adaptations and water management for sustainable irrigation expansion are recommended for post-invasion recovery in Ukraine and global food security.
C1 [Tian, Di] Auburn Univ, Dept Crop Soil & Environm Sci, Auburn, AL 36849 USA.
C3 Auburn University System; Auburn University
RP Tian, D (corresponding author), Auburn Univ, Dept Crop Soil & Environm Sci, Auburn, AL 36849 USA.
EM tiandi@auburn.edu
OI Tian, Di/0000-0001-7752-947X
CR Hrozencik R. A., 2021, EIB229 US DEP AGR EC
   Manabe S., 2020, Beyond Global Warming: How Numerical Models Revealed the Secrets of Climate Change
   Maraun D, 2017, NAT CLIM CHANGE, V7, P764, DOI 10.1038/NCLIMATE3418
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Medina H, 2023, ENVIRON RES LETT, V18, DOI 10.1088/1748-9326/acb27f
   Rasp S, 2018, P NATL ACAD SCI USA, V115, P9684, DOI 10.1073/pnas.1810286115
   Reichstein M, 2019, NATURE, V566, P195, DOI 10.1038/s41586-019-0912-1
   Rosa L, 2024, NAT FOOD, V5, DOI 10.1038/s43016-024-01017-7
   Volk J.M., 2024, Nat. Water, V2, P193, DOI DOI 10.1038/S44221-023-00181-7
   WFP USA, 2017, WINNING PEACE HUNGER
NR 10
TC 0
Z9 0
U1 7
U2 7
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
EI 2662-1355
J9 NAT FOOD
JI Nat. Food
PD AUG
PY 2024
VL 5
IS 8
BP 648
EP 649
DI 10.1038/s43016-024-01019-5
EA JUL 2024
PG 2
WC Food Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Food Science & Technology
GA D6G8O
UT WOS:001281002900001
PM 39080424
DA 2025-01-10
ER

PT C
AU Growns, D
   Webb, M
AF Growns, D.
   Webb, M.
BE Groening, G
TI Breeding Australian Native Plants for a Changing Climate
SO XXVIII INTERNATIONAL HORTICULTURAL CONGRESS ON SCIENCE AND HORTICULTURE
   FOR PEOPLE (IHC2010): INTERNATIONAL SYMPOSIUM ON ADVANCES IN
   ORNAMENTALS, LANDSCAPE AND URBAN HORTICULTURE
SE Acta Horticulturae
LA English
DT Proceedings Paper
CT 28th International Horticultural Congress on Science and Horticulture
   for People (IHC) / International Symposium on Greenhouse and Soilless
   Cultivation / International Symposium on Advances in Ornamentals,
   Landscape and Urban Horticulture
CY AUG 22-27, 2010
CL Lisbon, PORTUGAL
SP Int Soc Hort Sci (ISHS)
DE selection and breeding; ornamental plants; climate adaptability; low
   water use
AB Australia has about 25,000 native plant taxa, with over 12,000 of these occurring naturally in Western Australia. Only a fraction of these taxa have been systematically investigated for their suitability as ornamental plants in home gardens or public landscapes. Over the past 12 years, Kings Park and Botanic Garden in Western Australia has developed a selection and breeding program on Australian native plants. The program is targeting intraspecific, interspecific, and intergeneric hybrids with novel or improved attributes for display in Kings Park and for the Australian and International ornamental plant markets. A key focus is on the identification of plants with climate adaptability and low water requirements.
C1 [Growns, D.; Webb, M.] Kings Pk & Bot Gardens, Perth, WA, Australia.
RP Growns, D (corresponding author), Kings Pk & Bot Gardens, Perth, WA, Australia.
CR Beard JS, 2000, J BIOGEOGR, V27, P1257, DOI 10.1046/j.1365-2699.2000.00509.x
   Conservation International, 2006, SW AUSTR
   Department of the Environment Water Heritage and the Arts Bureau of Meteorology, 2010, AUSTR CLIM VAR CHANG
   Environmental Protection Authority, 2007, STAT ENV REP W AUSTR
   Growns D.J, 2010, PEOPLE PLANTS, P15
NR 5
TC 2
Z9 2
U1 0
U2 9
PU INT SOC HORTICULTURAL SCIENCE
PI LEUVEN 1
PA PO BOX 500, 3001 LEUVEN 1, BELGIUM
SN 0567-7572
BN 978-90-66055-25-4
J9 ACTA HORTIC
PY 2012
VL 937
BP 1093
EP 1095
DI 10.17660/ActaHortic.2012.937.136
PG 3
WC Horticulture
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Agriculture
GA BDJ01
UT WOS:000313517700136
DA 2025-01-10
ER

PT J
AU Franzon, RC
   Raseira, MDB
   Feldberg, NP
   Scaranari, C
AF Franzon, Rodrigo Cezar
   Raseira, Maria do Carmo Bassols
   Feldberg, Nelson Pires
   Scaranari, Ciro
TI 'BRS Sarau': A new late-ripening table peach cultivar with a wide
   climatic adaptation
SO CROP BREEDING AND APPLIED BIOTECHNOLOGY
LA English
DT Article
DE Prunus persica; breeding; fruit quality
AB 'BRS Sarau' is a highly productive peach cultivar widely adapted to the Southern and Southeast region of Brazil. It produces fruits of excellent flavor and shape, with attractive skin and flesh color, and its harvest starts near the Christmas holidays, when the demand for peaches is high.
C1 [Franzon, Rodrigo Cezar; Raseira, Maria do Carmo Bassols] Embrapa Clima Temperado, BR 392,Km 78,9 Dist, BR-96010971 Pelotas, RS, Brazil.
   [Feldberg, Nelson Pires] Embrapa Clima Temperado, Estacao Expt Canoinhas, BR 280,Km 231, BR-89460000 Canoinhas, SC, Brazil.
   [Scaranari, Ciro] Embrapa, Secretaria Inovacao & Negocios, Campinas, SP, Brazil.
C3 Empresa Brasileira de Pesquisa Agropecuaria (EMBRAPA); Empresa
   Brasileira de Pesquisa Agropecuaria (EMBRAPA); Empresa Brasileira de
   Pesquisa Agropecuaria (EMBRAPA)
RP Franzon, RC (corresponding author), Embrapa Clima Temperado, BR 392,Km 78,9 Dist, BR-96010971 Pelotas, RS, Brazil.
EM rodrigo.franzon@embrapa.br
FU Empresa Brasileira de Pesquisa Agropecuria (Embrapa); Conselho Nacional
   de Desenvolvimento Cientifico e Tecnologico (CNPq)
FX The authors would like to thank the Empresa Brasileira de Pesquisa
   Agropecuaria (Embrapa) , and the Conselho Nacional de Desenvolvimento
   Cientifico e Tecnologico (CNPq) for their financial support. They also
   express their acknowledgments to Sergio Minami, Norival Gallo, Rodrigo
   Marim, and Joao Guizzo, fruit growers, for the evaluation in
   semi-commercial units.
CR Raseira MDB, 2020, REV BRAS FRUTIC, V42, DOI 10.1590/0100-29452020633
   Raseira MDB, 2017, J AM POMOL SOC, V71, P236
   Raseira MDB, 2010, REV BRAS FRUTIC, V32, P1275, DOI 10.1590/S0100-29452011005000009
   Bhering LL, 2017, CROP BREED APPL BIOT, V17, P187, DOI 10.1590/1984-70332017v17n2s29
   Corrêa ER, 2023, REV BRAS FRUTIC, V45, DOI 10.1590/0100-29452023146
   FAOSTAT, 2024, Crops and livestock products
   IBGEInstituto Brasileiro de Geografia e Estatistica, 2024, Producao agricola municipal: Lavouras permanentes
   Maria do Carmo Bassols R ASEIRA., 2014, Pessegueiro, V1, P73
   Raseira MCB, 2021, Agrociencia Uruguay, V25, pNE1
   Ueno B, 2022, Cultivo do pessegueiro, P106
NR 10
TC 0
Z9 0
U1 1
U2 1
PU BRAZILIAN SOC PLANT BREEDING
PI VICOSA-MG
PA UNIV FEDERAL VICOSA, VICOSA-MG, 36 571-000, BRAZIL
SN 1984-7033
EI 1518-7853
J9 CROP BREED APPL BIOT
JI Crop. Breed. Appl. Biotechnol.
PY 2024
VL 24
IS 3
AR e494824311
DI 10.1590/1984-70332024v24n3c36
PG 6
WC Agronomy; Biotechnology & Applied Microbiology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Biotechnology & Applied Microbiology
GA G0D2L
UT WOS:001313416000001
OA gold
DA 2025-01-10
ER

PT J
AU Desnoues, E
   de Carvalho, JF
   Zohner, CM
   Crowther, TW
AF Desnoues, Elsa
   de Carvalho, Julie Ferreira
   Zohner, Constantin M.
   Crowther, Thomas W.
TI The relative roles of local climate adaptation and phylogeny in
   determining leaf-out timing of temperate tree species
SO FOREST ECOSYSTEMS
LA English
DT Article
ID DORMANCY RELEASE; WOODY-PLANTS; PHENOLOGY; TIMES; PHOTOPERIOD; RESPONSES
AB Background: Leaf out times of temperate forest trees are a prominent determinant of global carbon dynamics throughout the year. Abiotic cues of leaf emergence are well studied but investigation of the relative roles of shared evolutionary history (phylogeny) and local adaptation to climate in determining the species-level responses to these cues is needed to better apprehend the effect of global change on leaf emergence. We explored the relative importance of phylogeny and climate in determining the innate leaf out phenology across the temperate biome.
   Methods: We used an extensive dataset of leaf-out dates of 1126 temperate woody species grown in eight Northern Hemisphere common gardens. For these species, information on the native climate and phylogenetic position was collected. Using linear regression analyses, we examine the relative effect of climate variables and phylogeny on leaf out variation among species.
   Results: Climate variables explained twice as much variation in leaf out timing as phylogenetic information, a process that was driven primarily by the complex interactive effects of multiple climate variables. Although the primary climate factors explaining species-level variation in leaf-out timing varied drastically across different families, our analyses reveal that local adaptation plays a stronger role than common evolutionary history in determining tree phenology across the temperate biome.
   Conclusions: In the long-term, the direct effects of physiological adaptation to abiotic effects of climate change on forest phenology are likely to outweigh the indirect effects mediated through changes in tree species composition.
C1 [Desnoues, Elsa; de Carvalho, Julie Ferreira; Crowther, Thomas W.] Netherlands Inst Ecol NIOO KNAW, Dept Terr Ecol, Droevendaalsesteeg 10, NL-6708 PB Wageningen, Netherlands.
   [Zohner, Constantin M.] Univ Munich LMU, Dept Biol, Systemat Bot & Mycol, D-80638 Munich, Germany.
   [Zohner, Constantin M.; Crowther, Thomas W.] Swiss Fed Inst Technol, Inst Integrat Biol, Univ Str 16, Zurich, Switzerland.
C3 Royal Netherlands Academy of Arts & Sciences; Netherlands Institute of
   Ecology (NIOO-KNAW); University of Munich; Swiss Federal Institutes of
   Technology Domain; ETH Zurich
RP Crowther, TW (corresponding author), Netherlands Inst Ecol NIOO KNAW, Dept Terr Ecol, Droevendaalsesteeg 10, NL-6708 PB Wageningen, Netherlands.; Crowther, TW (corresponding author), Swiss Fed Inst Technol, Inst Integrat Biol, Univ Str 16, Zurich, Switzerland.
EM thomas.crowther11@gmail.com
RI crowther, thomas/B-4807-2012; de Carvalho, Julie/ABD-8098-2020; KNAW,
   NIOO-KNAW/A-4320-2012
OI Zohner, Constantin/0000-0002-8302-4854; KNAW,
   NIOO-KNAW/0000-0002-3835-159X; Crowther, Thomas/0000-0001-5674-8913;
   Ferreira de Carvalho, Julie/0000-0001-6200-3344
FU Marie Curie grant
FX This work was supported by a personal Marie Curie grant to T.W.C.
CR [Anonymous], 2004, WORLDCLIM INTERPOLAT
   Bai KD, 2015, AOB PLANTS, V7, DOI 10.1093/aobpla/plv064
   Basler D, 2012, AGR FOREST METEOROL, V165, P73, DOI 10.1016/j.agrformet.2012.06.001
   Bremer B, 2009, BOT J LINN SOC, V161, P105, DOI 10.1111/boj.12385
   Ghelardini L, 2014, BMC PLANT BIOL, V14, DOI 10.1186/1471-2229-14-31
   Ghelardini L, 2010, TREE PHYSIOL, V30, P264, DOI 10.1093/treephys/tpp110
   HEIDE OM, 1993, PHYSIOL PLANTARUM, V89, P187, DOI 10.1111/j.1399-3054.1993.tb01804.x
   HEIDE OM, 1993, PHYSIOL PLANTARUM, V88, P531, DOI 10.1111/j.1399-3054.1993.tb01368.x
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Körner C, 2006, NEW PHYTOL, V172, P393, DOI 10.1111/j.1469-8137.2006.01886.x
   Körner C, 2010, SCIENCE, V327, P1461, DOI 10.1126/science.1186473
   Kramer K, 2010, FOREST ECOL MANAG, V259, P2213, DOI 10.1016/j.foreco.2009.12.023
   Laube J, 2014, NEW PHYTOL, V202, P350, DOI 10.1111/nph.12680
   LECHOWICZ MJ, 1984, AM NAT, V124, P821, DOI 10.1086/284319
   Linkosalo T, 2006, TREE PHYSIOL, V26, P1165, DOI 10.1093/treephys/26.9.1165
   Panchen ZA, 2014, NEW PHYTOL, V203, P1208, DOI 10.1111/nph.12892
   Paradis E, 2004, BIOINFORMATICS, V20, P289, DOI [10.1093/bioinformatics/btg412, 10.1093/bioinformatics/bty633]
   Polgar C, 2014, NEW PHYTOL, V202, P106, DOI 10.1111/nph.12647
   Polgar CA, 2011, NEW PHYTOL, V191, P926, DOI 10.1111/j.1469-8137.2011.03803.x
   Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   REICH PB, 1982, ECOLOGY, V63, P294, DOI 10.2307/1938945
   Volland-Voigt F, 2011, TREES-STRUCT FUNCT, V25, P39, DOI 10.1007/s00468-010-0461-6
   Zohner CM, 2017, ECOL LETT, V20, P452, DOI 10.1111/ele.12746
   Zohner CM, 2016, NAT CLIM CHANGE, V6, P1120, DOI [10.1038/nclimate3138, 10.1038/NCLIMATE3138]
   Zohner CM, 2014, ECOL LETT, V17, P1016, DOI 10.1111/ele.12308
NR 25
TC 8
Z9 10
U1 3
U2 30
PU KEAI PUBLISHING LTD
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, Building 5, Room 411, BEIJING, DONGCHENG
   DISTRICT 100009, PEOPLES R CHINA
SN 2095-6355
EI 2197-5620
J9 FOR ECOSYST
JI For. Ecosyst.
PD DEC 12
PY 2017
VL 4
AR 26
DI 10.1186/s40663-017-0113-z
PG 7
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA FP6RP
UT WOS:000417753700001
OA Green Published, gold
DA 2025-01-10
ER

PT S
AU Kuhl, L
   Rahman, MF
   McCraine, S
   Krause, D
   Hossain, MF
   Bahadur, AV
   Huq, S
AF Kuhl, Laura
   Rahman, M. Feisal
   McCraine, Samantha
   Krause, Dunja
   Hossain, Md Fahad
   Bahadur, Aditya Vansh
   Huq, Saleemul
BE Gadgil, A
   Tomich, TP
TI Transformational Adaptation in the Context of Coastal Cities
SO ANNUAL REVIEW OF ENVIRONMENT AND RESOURCES, VOL 46, 2021
SE Annual Review of Environment and Resources
LA English
DT Review; Book Chapter
DE urban; coastal; transformation; cities; climate adaptation
ID GLOBAL ENVIRONMENTAL-CHANGE; CLIMATE-CHANGE; SOCIETAL TRANSFORMATION;
   MULTILEVEL GOVERNANCE; RESEARCH AGENDA; URBAN; RESILIENCE; RISK;
   VULNERABILITY; MANAGEMENT
AB Coastal settlements, home to more than three billion people and growing rapidly, are highly vulnerable to climate change. Increasingly, there are calls for climate adaptation that goes beyond business-as-usual approaches, transforms socioeconomic systems, and addresses underlying drivers of vulnerability. Although calls for transformational adaptation are growing, greater clarity is needed on what transformation means in context in order to bridge the gap between theory and practice. This article reviews the theoretical literature on transformational adaptation, as well as practitioner frameworks and case studies of urban coastal adaptation. The article discusses specific challenges for transformational adaptation and its governance in coastal cities. In doing so, this review contributes to the growing debate about operationalizing the concept of transformational adaptation in the context of coastal cities and offers insights to ensure that transformation processes are inclusive and equitable.
C1 [Kuhl, Laura] Northeastern Univ, Sch Publ Policy & Urban Affairs, Int Affairs Program, Boston, MA 02115 USA.
   [Rahman, M. Feisal] Univ Durham, Dept Geog, Durham DH1 3LE, England.
   [McCraine, Samantha] World Wildlife Fund Nat, Washington, DC 20037 USA.
   [Krause, Dunja] United Nations Res Inst Social Dev, CH-1211 Geneva, Switzerland.
   [Hossain, Md Fahad; Huq, Saleemul] Internat Ctr Climate Change & Dev, London TW2 6EJ, England.
   [Bahadur, Aditya Vansh] Internat Inst Environm & Dev, London WC1X 8NH, England.
C3 Northeastern University; Durham University
RP Kuhl, L (corresponding author), Northeastern Univ, Sch Publ Policy & Urban Affairs, Int Affairs Program, Boston, MA 02115 USA.
EM l.kuhl@northeastern.edu; mohammad.f.rahman@durham.ac.uk;
   smccraine@gmail.com; dunja.krause@un.org; fahad.hossain@icccad.org;
   aditya.bahadur@iied.org; saleemul.huq@icccad.org
RI Krause, Dunja/GPS-8300-2022
OI Hossain, Md Fahad/0000-0002-6722-6018; Krause, Dunja/0000-0002-7730-6724
FU Rosa-Luxemburg-Stiftung; German Ministry for Economic Cooperation and
   Development
FX We would like to extend our sincere gratitude to Dr. Joyashree Roy,
   Bangabandhu Chair Professor, Asian Institute of Technology, for inviting
   and encouraging us to accomplish this review. We acknowledge funding
   support for analysis on informality in coastal cities UNRISD received
   from Rosa-Luxemburg-Stiftung with support from the German Ministry for
   Economic Cooperation and Development.
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Ajibade I, 2013, GLOBAL ENVIRON CHANG, V23, P1714, DOI 10.1016/j.gloenvcha.2013.08.009
   Amundsen H, 2018, CURR OPIN ENV SUST, V31, P23, DOI 10.1016/j.cosust.2017.12.004
   Anguelovski I, 2018, URBAN GEOGR, V39, P458, DOI 10.1080/02723638.2017.1349987
   Anguelovski I, 2016, J PLAN EDUC RES, V36, P333, DOI 10.1177/0739456X16645166
   [Anonymous], 2012, COMMUNITY I RESPONSE
   [Anonymous], 2012, STAT WORLD FISH AQ
   [Anonymous], CONTRIBUTION WORKING, DOI [DOI 10.1017/CBO9781107415324, 10.1017/CBO9781107415324]
   Arthurton R., 2006, Africa Environment Outlook 2, P155
   Bader D A., 2018, Climate Change and Cities, P27, DOI [DOI 10.1017/9781316563878.009, 10.1017/9781316563878.009]
   Bahadur A, 2015, REP
   Bahadur AV, 2019, LEARN PAP ACTION CLI
   Banks N, 2011, ENVIRON URBAN, V23, P487, DOI 10.1177/0956247811417794
   Barnes ML, 2020, NAT CLIM CHANGE, V10, P823, DOI 10.1038/s41558-020-0871-4
   Belkhir JA., 2007, Race, Gender Class, V14, P120
   Béné C, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10061697
   Béné C, 2014, J INT DEV, V26, P598, DOI 10.1002/jid.2992
   Bertilsson J, 2021, ENVIRON POLIT, V30, P423, DOI 10.1080/09644016.2020.1775446
   Betsill MM, 2006, GLOBAL GOV, V12, P141, DOI 10.1163/19426720-01202004
   Bhattacharya A, 2016, REP
   Biagini B, 2014, NAT CLIM CHANGE, V4, P828, DOI [10.1038/NCLIMATE2305, 10.1038/nclimate2305]
   Bird N., 2019, Transformational change in the Climate Investment Funds: a synthesis of the evidence
   Birkland T.A., 1997, DISASTER AGENDA SETT
   Blythe J, 2018, ANTIPODE, V50, P1206, DOI 10.1111/anti.12405
   Boodoo Z, 2018, CLIM DEV, V10, P673, DOI 10.1080/17565529.2018.1442788
   Brooks H., 1995, MARSHALLING TECHNOLO, P83
   Broto VC, 2017, WORLD DEV, V93, P1, DOI 10.1016/j.worlddev.2016.12.031
   Brown G, 2012, ENVIRON PLANN A, V44, P1607, DOI 10.1068/a44608
   Brown K., 2015, Resilience, development and global change, DOI [10.4324/9780203498095, DOI 10.4324/9780203498095]
   Brundiers K, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10051390
   Buendia E Calvo, 2019, CLIMATE CHANGE LAND
   Bulkeley H, 2005, ENVIRON POLIT, V14, P42, DOI 10.1080/0964401042000310178
   Bulkeley H, 2015, URBAN POLITICS OF CLIMATE CHANGE: EXPERIMENTATION AND THE GOVERNING OF SOCIO-TECHNICAL TRANSITIONS, P1
   Bulkeley H, 2012, LOCAL ENVIRON, V17, P545, DOI 10.1080/13549839.2012.681464
   Bulkeley H, 2013, T I BRIT GEOGR, V38, P361, DOI 10.1111/j.1475-5661.2012.00535.x
   Burch S., 2018, Urban Planet, P303, DOI 10.1017/9781316647554.017
   Burch S, 2014, CLIM POLICY, V14, P467, DOI 10.1080/14693062.2014.876342
   Caravani A., 2015, DOES ADAPTATION FINA
   Carr ER, 2019, WORLD DEV, V122, P70, DOI 10.1016/j.worlddev.2019.05.011
   Chu E, 2019, BACKGR PAP
   Corvellec H, 2013, J CLEAN PROD, V50, P32, DOI 10.1016/j.jclepro.2012.12.009
   Dai LP, 2018, INT J WATER RESOUR D, V34, P578, DOI 10.1080/07900627.2017.1373637
   David D., 2019, Addressing the most vulnerable first: Pro-poor climate action in informal settlements
   Department of Economic and Social Affairs Population Division, 2018, WORLD URB PROSP 2018
   Dhyani S, 2018, INT J DISAST RISK RE, V32, P95, DOI 10.1016/j.ijdrr.2018.01.018
   Di Baldassarre G, 2018, HYDROL EARTH SYST SC, V22, P5629, DOI 10.5194/hess-22-5629-2018
   Eakin HC, 2014, GLOBAL ENVIRON CHANG, V27, P1, DOI 10.1016/j.gloenvcha.2014.04.013
   Elmqvist T, 2015, CURR OPIN ENV SUST, V14, P101, DOI 10.1016/j.cosust.2015.05.001
   Elmqvist T, 2018, SUSTAIN SCI, V13, P1549, DOI 10.1007/s11625-018-0611-0
   Eriksen SH, 2015, GLOBAL ENVIRON CHANG, V35, P523, DOI 10.1016/j.gloenvcha.2015.09.014
   European Commission, 2021, NATURE BASED SOLUTIO
   Evans B, 2013, RESILIENCE, V1, P83, DOI 10.1080/21693293.2013.770703
   Fedele G, 2019, ENVIRON SCI POLICY, V101, P116, DOI 10.1016/j.envsci.2019.07.001
   Felgenhauer T, 2015, ENVIRON SCI POLICY, V50, P214, DOI 10.1016/j.envsci.2015.03.003
   Feola G, 2015, AMBIO, V44, P376, DOI 10.1007/s13280-014-0582-z
   Few R, 2017, PALGR COMMUN, V3, DOI 10.1057/palcomms.2017.92
   Findlay AM, 2011, GLOBAL ENVIRON CHANG, V21, pS50, DOI 10.1016/j.gloenvcha.2011.09.004
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Folke C., 2003, Navigating social-ecological systems, P352
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Foxon Timothy J., 2009, European Environment, V19, P3, DOI 10.1002/eet.496
   Frantzeskaki N, 2019, ENVIRON SCI POLICY, V93, P101, DOI 10.1016/j.envsci.2018.12.033
   Fritz M, 2017, THEOR PRACT URB SUST, P111, DOI 10.1007/978-3-319-56091-5_7
   Fussell E, 2010, POPUL ENVIRON, V31, P20, DOI 10.1007/s11111-009-0092-2
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Garschagen M, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10082934
   Geels FW, 2017, SCIENCE, V357, P1242, DOI 10.1126/science.aao3760
   Gerard F, 2020, OXFORD REV ECON POL, V36, pS281, DOI 10.1093/oxrep/graa026
   Gillard R, 2016, WIRES CLIM CHANGE, V7, P251, DOI 10.1002/wcc.384
   Gilrein EJ, 2021, SUSTAIN RESIL INFRAS, V6, P213, DOI 10.1080/23789689.2019.1599608
   Glaas E, 2019, AMBIO, V48, P515, DOI 10.1007/s13280-018-1109-9
   Godfrey-Wood R, 2016, IDS BULL-I DEV STUD, V47, P49, DOI 10.19088/1968-2016.131
   Gogoi E, 2018, REP
   Gosling A., 2011, BLUEPR OC COAST SUST, P64
   Granberg M, 2016, RISK MANAG-UK, V18, P26, DOI 10.1057/rm.2015.21
   Grandin J, 2018, CURR OPIN ENV SUST, V31, P16, DOI 10.1016/j.cosust.2017.12.002
   Green Climate Fund, 2016, FP021 GCF
   Griffiths J, 2020, PHILOS T R SOC A, V378, DOI 10.1098/rsta.2019.0222
   GSM Association, 2019, MOB BIG DAT SOL BETT
   Güneralp B, 2015, GLOBAL ENVIRON CHANG, V31, P217, DOI 10.1016/j.gloenvcha.2015.01.002
   Hallegatte S, 2013, NAT CLIM CHANGE, V3, P802, DOI [10.1038/nclimate1979, 10.1038/NCLIMATE1979]
   de Haan J, 2011, TECHNOL FORECAST SOC, V78, P90, DOI 10.1016/j.techfore.2010.10.008
   Hanson S, 2011, CLIMATIC CHANGE, V104, P89, DOI 10.1007/s10584-010-9977-4
   Haque AN, 2014, ENVIRON URBAN, V26, P112, DOI 10.1177/0956247813518681
   Hölscher K, 2019, J ENVIRON MANAGE, V231, P843, DOI 10.1016/j.jenvman.2018.10.043
   Hölscher K, 2018, ENVIRON INNOV SOC TR, V27, P1, DOI 10.1016/j.eist.2017.10.007
   Huntjens P, 2011, ENVIRON POLICY GOV, V21, P145, DOI 10.1002/eet.571
   Intergov Panel Clim Chg, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P1, DOI 10.1017/CBO9781139177245
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Jessop B, 1997, REV INT POLIT ECON, V4, P561, DOI 10.1080/096922997347751
   Jones L, 2020, GEOGR J, V186, P415, DOI 10.1111/geoj.12362
   Jongman B, 2012, GLOBAL ENVIRON CHANG, V22, P823, DOI 10.1016/j.gloenvcha.2012.07.004
   Karki M., 2017, IJMS, V4, P1
   Kasdan M, 2021, CLIM DEV, V13, P427, DOI 10.1080/17565529.2020.1790333
   Kates RW, 2006, P NATL ACAD SCI USA, V103, P14653, DOI 10.1073/pnas.0605726103
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Kemp R, 1998, TECHNOL ANAL STRATEG, V10, P175, DOI 10.1080/09537329808524310
   Kim Y, 2019, EARTHS FUTURE, V7, P704, DOI 10.1029/2019EF001208
   Kooiman J., 1993, Modern governance: New government-society interactions, P35
   Kühn I, 2006, BIOL CONSERV, V127, P292, DOI 10.1016/j.biocon.2005.06.033
   Leach M., 2010, ENV SOCIAL JUSTICE
   Lister Nina-Marie., 2007, LARGE PARKS
   Liu X, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11101247
   Lonsdale K., 2015, Transformative adaptation: what it is, why it matters what is needed
   Lu X, 2016, GLOBAL ENVIRON CHANG, V38, P1, DOI 10.1016/j.gloenvcha.2016.02.002
   Maantay JA, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15102233
   Magnan AK, 2016, WIRES CLIM CHANGE, V7, P646, DOI 10.1002/wcc.409
   Martinez EA, 2016, C P DAT GOOD EXCH C
   Matyas D, 2015, DISASTERS, V39, pS1, DOI 10.1111/disa.12107
   McCraine S, 2019, 328 LOND SCH EC POL
   Möller N, 2008, RELIAB ENG SYST SAFE, V93, P798, DOI 10.1016/j.ress.2007.03.031
   Moore ML, 2018, ECOL SOC, V23, DOI 10.5751/ES-10166-230238
   Moore ML, 2014, ECOL SOC, V19, DOI 10.5751/ES-06966-190454
   Nelson DR, 2011, WIRES CLIM CHANGE, V2, P113, DOI 10.1002/wcc.91
   Nicholls RJ, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P315
   O'Brien K, 2012, PROG HUM GEOG, V36, P667, DOI 10.1177/0309132511425767
   Olsson P, 2006, ECOL SOC, V11, DOI 10.5751/ES-01595-110118
   Olsson P, 2014, ECOL SOC, V19, DOI 10.5751/ES-06799-190401
   Overeem A, 2013, GEOPHYS RES LETT, V40, P4081, DOI 10.1002/grl.50786
   Pachauri RK, 2014, 2014 IEEE STUDENTS' CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER SCIENCE (SCEECS)
   Patil P.G., 2016, AUS16344 WORLD BANK
   Patterson J, 2017, ENVIRON INNOV SOC TR, V24, P1, DOI 10.1016/j.eist.2016.09.001
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Pelling M., 2016, J Extreme Events, V3, P1, DOI [DOI 10.1142/S2345737616500123, 10.1142/S2345737616500123]
   Pelling M, 2015, CLIMATIC CHANGE, V133, P113, DOI 10.1007/s10584-014-1303-0
   Puri J., 2018, TRANSFORMATIONAL CHA
   Rajamony V, 2018, WHAT WE CAN LEARN DU
   Reckien D., 2018, Climate change and cities: second assessment report of the urban climate change research network, P173, DOI [10.1017/9781316563878.013, DOI 10.1017/9781316563878.013]
   Reckien D, 2017, ENVIRON URBAN, V29, P159, DOI 10.1177/0956247816677778
   Revi A, 2020, ONE EARTH, V3, P384
   Revi A, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P535
   Ribot J, 2011, GLOBAL ENVIRON CHANG, V21, P1160, DOI 10.1016/j.gloenvcha.2011.07.008
   Rickards L, 2012, CROP PASTURE SCI, V63, P240, DOI 10.1071/CP11172
   Rip A., 1998, HUMAN CHOICE CLIMATE, V2
   Robinson C, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0227436
   Rockström J, 2009, NATURE, V461, P472, DOI 10.1038/461472a
   Romero-Lankao P, 2018, NAT CLIM CHANGE, V8, P754, DOI 10.1038/s41558-018-0264-0
   Rosenzweig C., 2018, Climate change and cities: Second assessment report of the urban climate change research network, P3
   Rotmans JR., 2001, FORESIGHT J FUTURE S, V3, P15, DOI [DOI 10.1108/14636680110803003, 10.1108/14636680110803003]
   Ruszczyk HA, 2021, ENVIRON URBAN, V33, P239, DOI 10.1177/0956247820965156
   Satterthwaite D, 2007, HUM SETTL DISCUSS PA, V1
   Satterthwaite D, 2020, ONE EARTH, V2, P143, DOI 10.1016/j.oneear.2020.02.002
   Satterthwaite D, 2013, ENVIRON URBAN, V25, P381, DOI 10.1177/0956247813500902
   Schneider A, 2009, ENVIRON RES LETT, V4, DOI 10.1088/1748-9326/4/4/044003
   Schot J, 2008, TECHNOL ANAL STRATEG, V20, P537, DOI 10.1080/09537320802292651
   SDI (Slum Dwellers Int.), 2018, REP
   Seto KC, 2012, P NATL ACAD SCI USA, V109, P16083, DOI 10.1073/pnas.1211658109
   Siders A. R., 2013, 14365 COL U, DOI 10.2139/ssrn.2349461
   Simarmata H.A., 2020, 20203 UNRISD
   Simic I, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9071183
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Tanner T., 2017, 519 ODI
   Tanner Thomas., 2009, IDS Work. Pap
   Termeer CJAM, 2017, J ENVIRON PLANN MAN, V60, P558, DOI 10.1080/09640568.2016.1168288
   The World Bank, 2020, URBAN DEV
   Torabi E, 2018, CITIES, V72, P295, DOI 10.1016/j.cities.2017.09.008
   UN -Habitat, 2018, BLUE EC CIT
   UNRISD, 2020, Transformative Adaption and Social Justice in Ho Chi Minh City
   Unruh GC, 2000, ENERG POLICY, V28, P817, DOI 10.1016/S0301-4215(00)00070-7
   van der Heijden J, 2019, J ENVIRON PLANN MAN, V62, P365, DOI 10.1080/09640568.2018.1513832
   Wagner M, 2014, APPL GEOGR, V50, P15, DOI 10.1016/j.apgeog.2014.01.009
   Walker B, 2004, ECOL SOC, V9
   Warner BP, 2017, CURR OPIN ENV SUST, V29, P69, DOI 10.1016/j.cosust.2017.12.012
   Winkler H, 2016, CLIM POLICY, V16, P783, DOI 10.1080/14693062.2015.1033674
   Wisner B., 2003, Disaster Risk Reduction in Megacities: Making the Most of Human and Social Capital, P181
   Wisner B., 2004, AT RISK, V2nd
   Wolfram M, 2019, AMBIO, V48, P437, DOI 10.1007/s13280-019-01169-y
   Xia J, 2017, SCI CHINA EARTH SCI, V60, P652, DOI 10.1007/s11430-016-0111-8
   Zevenbergen C., 2013, TAILOR MADE COLLABOR
   Zevenbergen C, 2018, WATER-SUI, V10, DOI 10.3390/w10091230
NR 170
TC 11
Z9 13
U1 13
U2 38
PU ANNUAL REVIEWS
PI PALO ALTO
PA 4139 EL CAMINO WAY, PO BOX 10139, PALO ALTO, CA 94303-0897 USA
SN 1543-5938
BN 978-0-8243-2346-2
J9 ANNU REV ENV RESOUR
JI Annu. Rev. Environ. Resour
PY 2021
VL 46
BP 449
EP 479
DI 10.1146/annurev-environ-012420-045211
PG 31
WC Environmental Sciences; Environmental Studies
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH); Book Citation Index – Science (BKCI-S); Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA BS3NZ
UT WOS:000713670600017
OA Green Published, Green Accepted, gold
DA 2025-01-10
ER

PT C
AU Xu, F
   Zhang, GQ
   Liu, W
   Xie, MJ
AF Xu, Feng
   Zhang, Guongqiang
   Liu, Wei
   Xie, Mingjing
BE Zhang, Q
   Leung, M
   Wang, XK
   Liu, YJ
   Mo, JH
TI ANALYSIS OF CLIMATIC-ADAPTIVE BUILDING TECHNOLOGIES IMPLEMENTED IN
   TRADITIONAL FOLK HOUSES IN NORTH-CENTRAL REGION OF HUNAN
SO FIFTH INTERNATIONAL WORKSHOP ON ENERGY AND ENVIRONMENT OF RESIDENTIAL
   BUILDINGS AND THIRD INTERNATIONAL CONFERENCE ON BUILT ENVIRONMENT AND
   PUBLIC HEALTH, VOL I AND II, PROCEEDINGS
LA English
DT Proceedings Paper
CT 5th International Workshop on Energy and Environment of Residential
   Buildings/3rd International Conference on Built Environment and Public
   Health
CY MAY 29-31, 2009
CL Guilin, PEOPLES R CHINA
SP Hunan Univ, Univ Hong Kong, Tsinghua Univ
DE Climatic-adaptive technology; Traditional folk building technology;
   Design strategy; Natural ventilation; Thermal insulation
AB With the development of economy and the progress of urbanization, the building construction increases rapidly in the north-central region of Hunan. But most design, construction and operation of the rural residence neglect the climatic impact on building. Based on the investigation of Zhangguying Village that is the most representative and completely preserved traditional folk house in the north-central region of Hunan, this paper analyzes some construction technologies from the aspect of construction site, building shape, materials and construction methods, etc. Furthermore, this paper emphatically analyses some design strategies of natural ventilation and thermal insulation adopted in the traditional folk house in this region under extreme climate conditions. In a word, this paper hopes to provide some references for rural residence design to promote the sustainable building and to accelerate the construction of resource-saving and environment-friendly society.
C1 [Xu, Feng; Liu, Wei] Hunan Univ, Coll Architecture, Changsha 410082, Hunan, Peoples R China.
C3 Hunan University
RP Xu, F (corresponding author), Hunan Univ, Coll Architecture, Changsha 410082, Hunan, Peoples R China.
EM xufeng@188.com
RI Zhang, Guoqing/F-1438-2019
CR *JGJ, 1986, 2486 JGJ
   JONES DL, 1999, ARCHITECTURE ENV BIO
   LIU JP, 2003, B NATL NATURAL SCI F, V4, P234
   Lv ai-min, 2003, CLIMATE RESPONSIVE B
   Lynch K., 1984, SITE PLANNING, V3rd
   Max T.A., 1990, BUILDING CLIMATE ENE
   OLGYAY V, 1992, DESIGN CLIMATE BIOCL, P11
NR 7
TC 0
Z9 0
U1 0
U2 3
PU HUNAN UNIV, COLLEGE CIVIL ENGINEERING
PI HUNAN
PA C/O PROF QUAN ZHANG, EERB-BEPH 2009, CHANGSHA, HUNAN, 410082, PEOPLES R
   CHINA
PY 2009
BP 1676
EP 1684
PG 9
WC Construction & Building Technology; Engineering, Civil; Environmental
   Sciences; Public, Environmental & Occupational Health
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Construction & Building Technology; Engineering; Environmental Sciences
   & Ecology; Public, Environmental & Occupational Health
GA BLG25
UT WOS:000270107401050
DA 2025-01-10
ER

PT J
AU Rahman, SM
   Mori, A
   Rahman, SM
AF Rahman, Syed Mahbubur
   Mori, Akihisa
   Rahman, Syed Mustafizur
TI How does climate adaptation co-benefits help scale-up solar-powered
   irrigation? A case of the Barind Tract, Bangladesh
SO RENEWABLE ENERGY
LA English
DT Article
DE Solar-powered irrigation; Barind tract; Adaptation; Co-benefits; Climate
   change
ID WATER PUMPING SYSTEM; RURAL ELECTRIFICATION; FEASIBILITY; ENERGY;
   DETERMINANTS; PERSPECTIVES; TECHNOLOGIES; MITIGATION; LESSONS; SUCCESS
AB Solar-powered irrigation system, a low-cost option, ensures varieties of co-benefits both in the domains of climate mitigation and adaptation, and thus has been incorporated as a part of climate project. However, its co-benefits in climate adaptation have not been sufficiently explored, which may result in a lack of insights about co-benefits and prevent wider roll-out and scaling-up. This paper aims at exploring co-benefits of solar-powered irrigation, an adaptation measure, taking a project in a drought-prone area of the northwest part of Bangladesh as a case. Using both interviews and focused group discussion, this research finds that besides generating co-benefits in climate mitigation, there are substantial adaptation co-benefits in various forms including vulnerability reduction and enhancement of resilience. However, many of the co-benefits in climate adaptation are indirect and less visible and realizable in the long-term, such as informal social group formation, improved financial strength, and employment opportunity. Making co-benefits more visible among various stakeholders, and launching a feed-in option may help to scale up solar-powered irrigation. (C)Y 2021 Elsevier Ltd. All rights reserved.
C1 [Rahman, Syed Mahbubur] BRAC Univ, BRAC Business Sch, 66 Mohakhali, Dhaka 1212, Bangladesh.
   [Mori, Akihisa] Kyoto Univ, Grad Sch Global Environm Studies, Sakyo Ku, Yoshida Honmachi, Kyoto 6068501, Japan.
   [Rahman, Syed Mustafizur] Univ Rajshahi, Dept Elect & Elect Engn, Geophys Lab, Rajshahi 6205, Bangladesh.
C3 Bangladesh Rural Advancement Committee BRAC; BRAC University; Kyoto
   University; University of Rajshahi
RP Rahman, SM (corresponding author), BRAC Univ, BRAC Business Sch, 66 Mohakhali, Dhaka 1212, Bangladesh.
EM s.rahman@bracu.ac.bd; mori.akihisa.2a@kyoto-u.ac.jp; smrahman@ru.ac.bd
RI Mori, Akihisa/Q-5713-2019; Rahman, Syed/N-4715-2015
OI Mori, Akihisa/0000-0001-6427-4834; Rahman, Syed/0000-0001-8578-2731
FU Japan Society for the Promotion of Science (JSPS) RONPAKU Program; JSPS
   [26285041]; Grants-in-Aid for Scientific Research [26285041] Funding
   Source: KAKEN
FX This workwas supported by the Japan Society for the Promotion of Science
   (JSPS) RONPAKU Program; JSPS Research Grant 26285041.
CR Agrawal S., 2018, SUSTAINABLE DEPLOYME, P1, DOI [10.1002/ wene.325, DOI 10.1002/WENE.325]
   Al Mamun Md. Abdullah, 2021, [Geography, Environment, Sustainability, Geography, Environment, Sustainability], V14, P209, DOI 10.24057/2071-9388-2020-124
   Al-Saidi M, 2019, DEV PRACT, V29, P619, DOI 10.1080/09614524.2019.1600659
   Alam A. T. M. J., 2012, Journal of Environmental Science and Natural Resources, V5, P287
   Alauddin M, 2014, ECOL ECON, V106, P204, DOI 10.1016/j.ecolecon.2014.07.025
   Armitage D, 2010, SPRINGER SER ENV MAN, P1, DOI 10.1007/978-3-642-12194-4
   Asian Development Bank (ADB), 2014, TECHNICAL ASSISTANCE
   BADC, 2005, MIN IRR SURV REP 200
   Bandyopadhyay KR, 2020, ROUT ST ENV POL, P133
   Barind Multipurpose Development Authority (BMDA), 2021, TOT DEV ACT VAR PROJ
   Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
   Barros VR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1133
   Berry PM, 2015, CLIMATIC CHANGE, V128, P381, DOI 10.1007/s10584-014-1214-0
   Billington F, 2019, DO WE SCALE SOLAR PO
   Biswas WK, 2004, ENERG POLICY, V32, P1199, DOI 10.1016/S0301-4215(03)00083-1
   Borde A., 2014, TERMINAL EVALUATION
   Boyatzis R. E., 1998, Transforming qualitative information: Thematic analysis and code development
   Braun V, 2012, APA HDB RES METHODS, V2, P57
   Burney J, 2010, P NATL ACAD SCI USA, V107, P1848, DOI 10.1073/pnas.0909678107
   Chandel SS, 2015, RENEW SUST ENERG REV, V49, P1084, DOI 10.1016/j.rser.2015.04.083
   Creswell J. W., Research design: Qualitative, quantitative, and mixed methods approaches
   Dovie DBK, 2019, SCI TOTAL ENVIRON, V656, P732, DOI 10.1016/j.scitotenv.2018.11.333
   Floater G., 2016, Working Paper, P86
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Gupta E, 2019, ENERG POLICY, V129, P598, DOI 10.1016/j.enpol.2019.02.008
   Habiba U, 2012, INT J DISAST RISK RE, V1, P72, DOI 10.1016/j.ijdrr.2012.05.004
   Hamilton K., 2010, ASSESSING ENV CO BEN
   Hartung H., 2018, The benefits and risks of solar-powered irrigation - a global overview
   Hossain MA, 2015, INT J ENERGY ENVIR E, V6, P147, DOI 10.1007/s40095-015-0162-4
   Jordan A., 2019, SPRINGER STAB, V47, P227, DOI [10.1007/s11077-014-9201-x, DOI 10.1007/S11077-014-9201-X]
   Kanojia C, 2019, FINANCIAL EXPRESS
   Kelley LC, 2010, RENEW SUST ENERG REV, V14, P2669, DOI 10.1016/j.rser.2010.07.061
   Kiger ME, 2020, MED TEACH, V42, P846, DOI 10.1080/0142159X.2020.1755030
   Kim Y, 2019, WORLD DEV, V124, DOI 10.1016/j.worlddev.2019.104652
   Kulshreshtha S., 2001, CAN WATER RESOUR J, V26, P107, DOI [DOI 10.4296/cwrj2601107, 10.4296/cwrj2601107, DOI 10.4296/CWRJ2601107]
   Kurata M, 2018, RENEW ENERG, V129, P309, DOI 10.1016/j.renene.2018.06.015
   Liu H, 2019, IOP C SER EARTH ENV, V227, DOI 10.1088/1755-1315/227/2/022015
   Marshall MN, 1996, FAM PRACT, V13, P522, DOI 10.1093/fampra/13.6.522
   Mekhilef S, 2013, RENEW SUST ENERG REV, V18, P583, DOI 10.1016/j.rser.2012.10.049
   García AM, 2019, RENEW ENERG, V140, P895, DOI 10.1016/j.renene.2019.03.122
   Mondal AH, 2011, ENERGY SUSTAIN DEV, V15, P17, DOI 10.1016/j.esd.2010.11.004
   Moula M., 2013, International Journal of Sustainable Built Environment, V2, P89, DOI [10.1016/j.ijsbe.2013.10.001, DOI 10.1016/J.IJSBE.2013.10.001]
   Noubondieu S., 2018, COSTS BENEFITS SOLAR, P28
   Osbahr H, 2008, GEOFORUM, V39, P1951, DOI 10.1016/j.geoforum.2008.07.010
   Paul BK, 1998, APPL GEOGR, V18, P355, DOI 10.1016/S0143-6228(98)00026-5
   Vera AAP, 2019, J SOL ENERG-T ASME, V141, DOI 10.1115/1.4042724
   Pierson Paul., 1993, WORLD POLIT, V45, P595, DOI DOI 10.2307/2950710
   Pullenkav T., 2013, SOLAR WATER PUMPING
   Rahman ATMS, 2016, SUST WAT RESOUR MAN, V2, P297, DOI 10.1007/s40899-016-0057-4
   Rahman MM, 2013, ENERG POLICY, V61, P840, DOI 10.1016/j.enpol.2013.06.100
   Rahman SM, 2020, WORLD DEV PERSPECT, V20, DOI 10.1016/j.wdp.2020.100247
   Rana J, 2021, RENEW ENERG, V167, P433, DOI 10.1016/j.renene.2020.11.100
   Rathore PKS, 2018, ENERGY STRATEG REV, V22, P385, DOI 10.1016/j.esr.2018.10.009
   Rawlani AK, 2011, MITIG ADAPT STRAT GL, V16, P845, DOI 10.1007/s11027-011-9298-6
   Reca J, 2016, RENEW ENERG, V85, P1143, DOI 10.1016/j.renene.2015.07.056
   Rizi AP, 2019, RENEW ENERG, V138, P1096, DOI 10.1016/j.renene.2019.02.026
   Roblin S, 2016, RENEW ENERGY FOCUS, V17, P205, DOI [10.1016/ j.ref.2016.08.013, DOI 10.1016/J.REF.2016.08.013, 10.1016/j.ref.2016.08.013]
   Sarkar MNI, 2017, SUSTAIN ENERGY TECHN, V20, P33, DOI 10.1016/j.seta.2017.02.013
   Schneider A.A., 2020, THESIS LUND U SWEDEN
   Selvaraju R., 2007, LIVELIHOOD ADAPTATIO
   Senol R, 2012, ENERG POLICY, V47, P478, DOI 10.1016/j.enpol.2012.05.049
   Shahid S, 2008, HYDROL PROCESS, V22, P2235, DOI 10.1002/hyp.6820
   Sharif I, 2013, ENRGY PROCED, V33, P343, DOI 10.1016/j.egypro.2013.05.075
   Smith A., 2013, CLIMATE BONUS CO BEN
   Sontake VC, 2016, RENEW SUST ENERG REV, V59, P1038, DOI 10.1016/j.rser.2016.01.021
   Spencer B, 2017, J ENVIRON PLANN MAN, V60, P647, DOI 10.1080/09640568.2016.1168287
   Srinivasan J., 2018, ECON POLIT WEEKLY, V53, P28
   Swanson D A., 2009, Indicators of Adaptive Capacity to Climate Change for Agriculture in the Prairie Region of Canada: Comparison with Field Observations (Working Paper for the Prairie Climate Resilience Project)
   Tompkins EL, 2012, GLOBAL ENVIRON CHANG, V22, P3, DOI 10.1016/j.gloenvcha.2011.09.010
   UNFCCC, 2019, GREENH GAS PROF ANN
   Urmee T, 2011, RENEW ENERG, V36, P2822, DOI 10.1016/j.renene.2011.04.021
   Verbong G, 2007, ENERG POLICY, V35, P1025, DOI 10.1016/j.enpol.2006.02.010
   Wettstein S, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9101772
   Whitmarsh L, 2009, J ENVIRON PSYCHOL, V29, P13, DOI 10.1016/j.jenvp.2008.05.003
   World Bank, 2011, BANGL LIGHT RUR COMM
   Zou XX, 2015, MITIG ADAPT STRAT GL, V20, P295, DOI 10.1007/s11027-013-9492-9
NR 76
TC 8
Z9 8
U1 5
U2 11
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0960-1481
EI 1879-0682
J9 RENEW ENERG
JI Renew. Energy
PD JAN
PY 2022
VL 182
BP 1039
EP 1048
DI 10.1016/j.renene.2021.11.012
PG 10
WC Green & Sustainable Science & Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Energy & Fuels
GA ZO9FI
UT WOS:000766032500010
DA 2025-01-10
ER

PT J
AU Palutikof, JP
   Tonmoy, FN
   Boulter, SL
   Schneider, P
   Albarracin, R
AF Palutikof, Jean P.
   Tonmoy, Fahim N.
   Boulter, Sarah L.
   Schneider, Peter
   Albarracin, Rizsa
TI Building knowledge and capacity for climate change risk management in
   the health sector: The case of Queensland
SO CLIMATE RISK MANAGEMENT
LA English
DT Article
DE Climate change; Hospitals; Australia; Risk; Adaptation; Vulnerability
ID MENTAL-HEALTH; DECISION-SUPPORT; HEAT; BUSHFIRE; IMPACT; AUSTRALIA;
   SCIENCE; FARMERS; BURDEN; POLICY
AB In 2019, the Queensland Department of Health and National Climate Change Adaptation Research Facility at Griffith University co-produced three resources to support Queensland Hospital and Health Service (HHS) staff to identify and manage present-day and future risks from climate change. The first resource is two templates to be completed in order to develop a risk management plan: the high-level Scan Cycle template, and the Detailed Cycle template for evaluation of serious risks requiring urgent action. Second, the Guidelines lead the user through the process. Third, an Almanac provides supporting information and links to additional resources. Together, these resources deliver a comprehensive set of tools, known as the 'Guidance', to support and guide HHS staff to address their climate change risks. A programme of training workshops was carried out throughout Queensland, taking staff from all HHS sectors through the templates and providing opportunity for in-depth discussion of their risks. Some gaps in the Guidance were identified in the workshops, for example the need to include humidity in the climate scenarios for Queensland's subtropical and tropical environments, and to consider system-wide interdependencies when identifying effective adaptation strategies for the highly complex HHSs. Some barriers to effective utilisation of the Guidance include, for example its complexity balanced against the time available to staff. The Guidance is an effective tool to promote and guide adaptation action, but in itself is insufficient - it requires senior management support and financing, and possibly regulatory reporting requirements, in order to properly fulfil its role.
C1 [Palutikof, Jean P.] Griffith Univ, Cities Res Inst, Gold Coast, Qld 4222, Australia.
   [Palutikof, Jean P.] Univ Canberra, HEAL Global Res Ctr, Canberra, ACT 2601, Australia.
   [Tonmoy, Fahim N.] Sustainabil & Climate Change, 123 Eagle St, Brisbane, Qld 4000, Australia.
   [Boulter, Sarah L.] Univ Tasmania, Coll Sci & Engn, Geog Planning & Spatial Sci, Private Bag 50, Hobart, Tas 7001, Australia.
   [Schneider, Peter; Albarracin, Rizsa] Queensland Hlth, Hlth Protect & Regulat Branch, 15 Butterfield St, Queensland, NS 4006, Canada.
   [Tonmoy, Fahim N.] Griffith Univ, Gold Coast, Qld 4222, Australia.
C3 Griffith University; Griffith University - Gold Coast Campus; University
   of Canberra; University of Tasmania; Griffith University; Griffith
   University - Gold Coast Campus
RP Palutikof, JP (corresponding author), Griffith Univ, Cities Res Inst, Gold Coast, Qld 4222, Australia.; Palutikof, JP (corresponding author), Univ Canberra, HEAL Global Res Ctr, Canberra, ACT 2601, Australia.
EM j.palutikof@griffith.edu.au
RI Tonmoy, Fahim/A-1502-2012
OI Palutikof, Jean/0000-0002-5248-6925
FU Queensland Government Department of Health
FX The work described in this paper was supported by the Queensland
   Government Department of Health.
CR [Anonymous], 2019, ACT Climate Change Strategy 2019-25
   Armstrong F., 2018, HUMAN HLTH WELLBEING
   Bach AJE, 2023, ENERG BUILDINGS, V286, DOI 10.1016/j.enbuild.2023.112954
   Beggs PJ, 2024, MED J AUSTRALIA, V220, P282, DOI 10.5694/mja2.52245
   Black MT, 2015, B AM METEOROL SOC, V96, pS145, DOI 10.1175/BAMS-D-15-00097.1
   Blainey Geoffrey., 2001, The Tyranny of Distance: How Distance Shaped Australia's History. Melbourne: Sun Books, V3rd
   Bolleter J, 2022, PLAN PRACT RES, V37, P601, DOI 10.1080/02697459.2021.2001733
   BoM and CSIRO, 2022, State of the Climate 2022.
   Arriagada NB, 2020, MED J AUSTRALIA, DOI [10.5694/mja2.50545, 10.5694.mja2.50545]
   Borg M, 2019, INT J BIOMETEOROL, V63, P435, DOI 10.1007/s00484-019-01674-5
   Cao JF, 2021, METEOROL APPL, V28, DOI 10.1002/met.2026
   CCC, 2021, Progress in Adapting to Climate Change 2021 Report to Parliament
   Cheng J, 2018, ENVIRON INT, V115, P334, DOI 10.1016/j.envint.2018.03.041
   CHHHS, 2023, Destructive Greenhouse Gas Ditched from Hospital Theatres.
   Coates L, 2022, INT J DISAST RISK RE, V67, DOI 10.1016/j.ijdrr.2021.102671
   Cradock-Henry NA, 2023, ENVIRON RES LETT, V18, DOI 10.1088/1748-9326/ace0ce
   Davey SM, 2020, AUST FORESTRY, V83, P47, DOI 10.1080/00049158.2020.1769899
   DEHP, Pathways to a Clean Growth Economy: Queensland Climate Transition Strategy
   DHAC, 2023, NATL HLTH CLIMATE ST
   DoH and DoFFH, 2022, Health and Human Services Climate Change Adaptation Action Plan 2022-2026
   Edwards B, 2015, SOC INDIC RES, V121, P177, DOI 10.1007/s11205-014-0638-2
   eHealth Queensland, 2022, Digital Strategy for Rural and Remote Healthcare: 10 year Plan
   Ellis NR, 2017, SOC SCI MED, V175, P161, DOI 10.1016/j.socscimed.2017.01.009
   Gardiner F, 2022, LANCET REG HEALTH-W, V21, DOI 10.1016/j.lanwpc.2022.100385
   Godden NJ, 2022, ENVIRON SOCIOL, V8, P377, DOI 10.1080/23251042.2022.2069216
   Government of South Australia, 2018, State Public Health Plan 2019-2024
   Guo YM, 2018, PLOS MED, V15, DOI 10.1371/journal.pmed.1002629
   Hall NL, 2021, AUST NZ J PUBL HEAL, V45, P122, DOI 10.1111/1753-6405.13073
   Hall NL, 2022, INT J ENVIRON HEAL R, V32, P487, DOI 10.1080/09603123.2020.1777948
   Hansen A, 2011, HEALTH PROMOT J AUST, V22, pS17, DOI 10.1071/HE11417
   Hossain D, 2008, AUST J RURAL HEALTH, V16, P343, DOI 10.1111/j.1440-1584.2008.01014.x
   Hunter E, 2013, AUSTRALAS PSYCHIATRY, V21, P572, DOI 10.1177/1039856213501724
   Kjellstrom T, 2016, ANNU REV PUBL HEALTH, V37, P97, DOI 10.1146/annurev-publhealth-032315-021740
   Klein A., 2022, New Scientist.
   Kostka M, 2022, ENERGIES, V15, DOI 10.3390/en15010355
   KPMG, 2020, Final Report to Fraser Coast Regional Council.
   Lawrence J., 2022, Climate Change 2022: Impacts, Adaptation, and Vulnerability.Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change ,, P1581, DOI [10.1017/9781009325844.013, 10.1017/ 9781009325844.013, DOI 10.1017/9781009325844.013]
   Leitch AM, 2019, CLIMATIC CHANGE, V153, P587, DOI 10.1007/s10584-019-02401-0
   Lemos MC, 2005, GLOBAL ENVIRON CHANG, V15, P57, DOI 10.1016/j.gloenvcha.2004.09.004
   Lewis SC, 2017, GEOPHYS RES LETT, V44, P9947, DOI 10.1002/2017GL074612
   Lewis SC, 2013, GEOPHYS RES LETT, V40, P3705, DOI 10.1002/grl.50673
   Little M, 2012, ACAD EMERG MED, V19, pE1088, DOI 10.1111/j.1553-2712.2012.01439.x
   Lu P, 2020, PLOS MED, V17, DOI 10.1371/journal.pmed.1003176
   Metro North HHS, Green Metro North Sustainability Strategy 2021-2026.
   MunichRe, 2023, Climate change and La Nina driving losses: the natural disaster figures for 2022
   NSW Government, 2022, NSW Climate Change Adaptation Strategy
   NT Government, 2020, Delivering the Climate Change Response: Towards 2050. A Three-Year Action Plan for the Northern Territory Government
   NT Government, 2023, Annual Progress Report.
   Onnis LAL, 2015, AUSTRALAS PSYCHIATRY, V23, P679, DOI 10.1177/1039856215608284
   Paavola J, 2017, ENVIRON HEALTH-GLOB, V16, P61, DOI 10.1186/s12940-017-0328-z
   Palutikof JP, 2019, CLIMATIC CHANGE, V153, P643, DOI 10.1007/s10584-019-02404-x
   Patel D, 2019, ENVIRON POLLUT, V252, P532, DOI 10.1016/j.envpol.2019.05.125
   Prtner H.-O., 2022, CLIMATE CHANGE 2022, DOI DOI 10.1017/9781009325844.009
   Pyke J, 2016, J HOSP TOUR MANAG, V28, P49, DOI 10.1016/j.jhtm.2016.04.003
   QDoH, 2021, Strategic Plan 2021-2025.
   QDoH, 2021, Queensland Health Climate Risk Strategy 2021-2026.
   QFES, 2018, Queensland Emergency Risk Management Framework (QERMF): Risk Assessment Process Handbook
   Queensland Treasury, 2022, Queensland Sustainability Report 2022
   Reifels L, 2014, EUR J PSYCHOTRAUMATO, V5, DOI 10.3402/ejpt.v5.26527
   Rios EEB, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16031090
   Rodney RM, 2021, FRONT PUBLIC HEALTH, V9, DOI 10.3389/fpubh.2021.682402
   Romanello M, 2022, LANCET, V400, P1619, DOI 10.1016/S0140-6736(22)01540-9
   Schmitt LHM, 2016, INT J ENV RES PUB HE, V13, DOI 10.3390/ijerph13111105
   Schoo A, 2016, BMC HEALTH SERV RES, V16, DOI 10.1186/s12913-016-1359-9
   SNHN, 2020, Climate and Health Strategy 2020.
   Sunshine Coast HHS, Environmental Sustainability Strategy 2021-2024.
   Tasmanian Government, 2023, Tasmania's Climate Change Action Plan 2023-25. Renewables, Climate and Future Industries
   Toloo G, 2015, SCI REP-UK, V5, DOI 10.1038/srep12860
   Tong MC, 2021, URBAN CLIM, V40, DOI 10.1016/j.uclim.2021.101028
   Tong MX, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac04d5
   Tonmoy FN, 2020, ENVIRON SCI POLICY, V108, P1, DOI 10.1016/j.envsci.2020.03.005
   Ummenhofer CC, 2015, GEOPHYS RES LETT, V42, P9942, DOI 10.1002/2015GL065948
   van Oldenborgh GJ, 2021, NAT HAZARD EARTH SYS, V21, P941, DOI 10.5194/nhess-21-941-2021
   Vardoulakis S, 2020, MED J AUSTRALIA, V212, P349, DOI 10.5694/mja2.50511
   Varghese BM, 2020, SCI TOTAL ENVIRON, V718, DOI 10.1016/j.scitotenv.2020.137138
   Vicedo-Cabrera AM, 2021, NAT CLIM CHANGE, V11, P492, DOI 10.1038/s41558-021-01058-x
   Walter TG, 2024, CURR ENV HLTH REP, V11, P71, DOI 10.1007/s40572-023-00422-7
   Watson KE, 2020, J PUBLIC HEALTH-UK, V42, P333, DOI 10.1093/pubmed/fdz033
   Weeramanthri T., 2020, Climate health WA inquiry: final report
   Wen B, 2022, SCI TOTAL ENVIRON, V809, DOI 10.1016/j.scitotenv.2021.152226
   Werners SE, 2021, ENVIRON SCI POLICY, V116, P266, DOI 10.1016/j.envsci.2020.11.003
   WHO, 2013, WHO Guidance to Protect Health from Climate Change through Health Adaptation Planning
   Wondmagegn BY, 2021, SCI TOTAL ENVIRON, V773, DOI 10.1016/j.scitotenv.2021.145656
   Wondmagegn BY, 2019, SCI TOTAL ENVIRON, V657, P608, DOI 10.1016/j.scitotenv.2018.11.479
   Wondmagegn BY, 2022, OCCUP ENVIRON MED, V79, P421, DOI 10.1136/oemed-2021-107888
   Xu ZW, 2019, INT J EPIDEMIOL, V48, P1091, DOI 10.1093/ije/dyz048
NR 86
TC 0
Z9 0
U1 0
U2 0
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0963
J9 CLIM RISK MANAG
JI CLIM. RISK MANAG.
PY 2024
VL 45
AR 100644
DI 10.1016/j.crm.2024.100644
EA AUG 2024
PG 15
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA E2Y1F
UT WOS:001301696700001
OA gold
DA 2025-01-10
ER

PT J
AU Pasquini, L
   Taylor, A
   McClure, A
   Martel, P
   Pretorius, L
   Mubaya, CP
   Mamombe, R
AF Pasquini, Lorena
   Taylor, Anna
   McClure, Alice
   Martel, Patrick
   Pretorius, Lulu
   Mubaya, Chipo Plaxedes
   Mamombe, Rudo
TI Pathways to transformative adaptation in southern African cities: A
   criteria-based assessment in Harare and Durban
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Transformative adaptation; Criteria; Southern Africa; Cities;
   Incremental adaptation; Durban; Harare
ID CLIMATE-CHANGE ADAPTATION; SUB-SAHARAN AFRICA; LOCAL-GOVERNMENT;
   RESILIENCE; GOVERNANCE; JUSTICE; SUSTAINABILITY; PRECIPITATION;
   URBANIZATION; CHALLENGES
AB Transformative adaptation (TA) places emphasis on changing the underlying causes of climate risk. Little is known about how TA can be achieved in practice in southern African cities. This paper reports on a set of criteria, derived from the literature and transdisciplinary engagements, for taking TA from theory into practice. These are: fundamental/sustainable changes in thinking and doing; inclusivity; challenging power asymmetries; demonstrability; responsive and flexible; and holistic, complex systems thinking. These criteria were explored through five water -related projects in Durban (South Africa) and Harare (Zimbabwe), which were identified by actors as having transformative potential to reduce urban climate risks. The study suggests that trade-offs might need to be made between several of these criteria, with strong synergies between others. Challenging power asymmetries is important in southern African cities where adaptation should change the structures of society that give rise to highly differential climate vulnerabilities. Challenging power structures largely requires true inclusivity and an equal stake in shaping decisions as opposed to tokenistic participation. While TA is needed in southern African cities, the complexity of these contexts and the scale of TA ambition introduces practical challenges when compared with incremental adaptation, i.e. small changes to existing practices to reduce climate impacts within the current development paradigm. Given such practical limitations, the paper concludes that TA in southern African cities might pragmatically be attempted as part of a process of ongoing learning to identify opportunities for gradual restructuring and expanding, in scale and ambition towards transformation.
C1 [Pasquini, Lorena; McClure, Alice] Univ Cape Town, Climate Syst Anal Grp, Private Bag X3, ZA-7701 Rondebosch, South Africa.
   [Pasquini, Lorena; Taylor, Anna] Univ Cape Town, African Climate & Dev Initiat, Private Bag X3, ZA-7701 Rondebosch, South Africa.
   [Pasquini, Lorena] Univ Cape Town, Fac Law, Global Risk Governance Programme, Private Bag X3, ZA-7701 Rondebosch, South Africa.
   [Martel, Patrick] Univ KwaZulu Natal, Sch Built Environm & Dev Studies, Howard Coll, ZA-4041 Durban, South Africa.
   [Pretorius, Lulu] Univ KwaZulu Natal, Ctr Funct Biodivers, Sch Life Sci, ZA-3209 Pietermaritzburg, South Africa.
   [Mubaya, Chipo Plaxedes; Mamombe, Rudo] Chinhoyi Univ Technol, Dept Freshwater & Fishery Sci, P Bag 7724, Chinhoyi, Zimbabwe.
C3 University of Cape Town; University of Cape Town; University of Cape
   Town; University of Kwazulu Natal; University of Kwazulu Natal
RP Pasquini, L (corresponding author), Univ Cape Town, Climate Syst Anal Grp, Private Bag X3, ZA-7701 Rondebosch, South Africa.
EM lorena.pasquini@gmail.com
RI Taylor, Anna/GYU-1386-2022
OI Taylor, Anna/0000-0001-6760-6080; McClure, Alice/0000-0003-1222-2025
FU LIRA 2030 Africa Programme; Swedish International Development
   Cooperation Agency (SIDA) [LIRA2030-GR08/18]
FX This work was supported by the LIRA 2030 Africa Programme, which is
   implemented by the International Council for Science (ICSU) in
   partnership with the Network of African Science Academies (NASAC) and
   the International Social Science Council (ISSC) , with support from the
   Swedish International Development Cooperation Agency (SIDA) [grant
   number LIRA2030-GR08/18] . The funder was not involved in the design of
   the study, collection, and interpretation of data, writing the
   manuscript, and decision to submit for publication. All the research
   participants are gratefully acknowledged.
CR Abel N, 2016, ECOL SOC, V21, DOI 10.5751/ES-08422-210223
   Ajulo O, 2020, PROG DISASTER SCI, V6, DOI 10.1016/j.pdisas.2020.100103
   Akinyi DP, 2021, REG SUSTAIN, V2, P130, DOI 10.1016/j.regsus.2021.05.002
   Anguelovski I, 2014, GLOBAL ENVIRON CHANG, V27, P156, DOI 10.1016/j.gloenvcha.2014.05.010
   [Anonymous], 2016, Community Survey: Provinces by Reason for Non-Attendance
   [Anonymous], 2014, Quarterly Labour Force Survey
   [Anonymous], 2014, DURBAN CLIMATE CHANG
   Aylett A, 2013, URBAN STUD, V50, P1386, DOI 10.1177/0042098013480968
   Bahadur A, 2014, ENVIRON URBAN, V26, P200, DOI 10.1177/0956247814522154
   Barnett J, 2015, ECOL SOC, V20, DOI 10.5751/ES-07698-200305
   Bartlett S., 2016, CITIES FINITE PLANET
   Berrang-Ford L, 2021, NAT CLIM CHANGE, V11, P989, DOI 10.1038/s41558-021-01170-y
   Boyd E, 2015, URBAN STUD, V52, P1234, DOI 10.1177/0042098014527483
   Broto VC, 2017, WORLD DEV, V93, P1, DOI 10.1016/j.worlddev.2016.12.031
   Bulkeley H, 2016, CURR OPIN ENV SUST, V22, P13, DOI 10.1016/j.cosust.2017.02.003
   Carmin J, 2012, J PLAN EDUC RES, V32, P18, DOI 10.1177/0739456X11430951
   Chaffin BC, 2016, ANNU REV ENV RESOUR, V41, P399, DOI 10.1146/annurev-environ-110615-085817
   Chigudu A, 2021, J URBAN PLAN DEV, V147, DOI 10.1061/(ASCE)UP.1943-5444.0000644
   Cirolia L., 2023, The Covenant of Mayors in Sub-Saharan Africa (CoM SSA) Strategic Paper
   Cobbinah PB, 2023, J PLAN LIT, V38, P361, DOI 10.1177/08854122221128762
   Colloff MJ, 2017, ENVIRON SCI POLICY, V68, P87, DOI 10.1016/j.envsci.2016.11.007
   Culwick C, 2017, AREA, V49, P43, DOI 10.1111/area.12282
   Demographia, 2020, Demographia world urban areas, V16th
   Dilling L, 2023, GLOBAL ENVIRON CHANG, V79, DOI 10.1016/j.gloenvcha.2023.102649
   Dodman D., 2022, IPCC 6 ASSESSMENT RE, P907, DOI [10.1017/9781009325844.008, DOI 10.1017/9781009325844.008]
   Dodman D, 2017, INT J DISAST RISK RE, V26, P7, DOI 10.1016/j.ijdrr.2017.06.029
   Dodman D, 2015, CLIM DEV, V7, P223, DOI 10.1080/17565529.2014.934777
   Dos Santos S, 2017, SCI TOTAL ENVIRON, V607, P497, DOI 10.1016/j.scitotenv.2017.06.157
   Dow K, 2013, CURR OPIN ENV SUST, V5, P384, DOI 10.1016/j.cosust.2013.07.005
   Ekoh SS, 2023, FRONT SUSTAIN CITIES, V5, DOI 10.3389/frsc.2023.929121
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   eThekwini Municipality, 2017, State of the eThekwini economy and mega trends
   eThekwini Municipality, 2018, The eThekwini Municipality Spatial Development Framework 2018-2019
   Favretto N, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030779
   Fedele G, 2019, ENVIRON SCI POLICY, V101, P116, DOI 10.1016/j.envsci.2019.07.001
   Fereday J., 2006, International journal of qualitative methods, V5, P80, DOI [DOI 10.1177/160940690600500107, 10.1177/160940690600500107]
   Fünfgeld H, 2023, CURR OPIN ENV SUST, V61, DOI 10.1016/j.cosust.2023.101263
   Gaughan AE, 2016, INT J CLIMATOL, V36, P1643, DOI 10.1002/joc.4448
   Geels FW, 2002, RES POLICY, V31, P1257, DOI 10.1016/S0048-7333(02)00062-8
   Grasham CF, 2019, WIRES WATER, V6, DOI 10.1002/wat2.1344
   Hansen R, 2023, EUR PLAN STUD, V31, P2401, DOI 10.1080/09654313.2022.2139594
   Hochrainer-Stigler S, 2023, CLIM RISK MANAG, V41, DOI 10.1016/j.crm.2023.100531
   Hoell A, 2021, J CLIMATE, V34, P1115, DOI 10.1175/JCLI-D-20-0379.1
   Holland B, 2017, ENVIRON POLIT, V26, P391, DOI 10.1080/09644016.2017.1287625
   Hölscher K, 2019, REG ENVIRON CHANGE, V19, P791, DOI 10.1007/s10113-018-1329-3
   Hordijk M, 2014, ENVIRON URBAN, V26, P130, DOI 10.1177/0956247813519044
   Leal W, 2022, SCI TOTAL ENVIRON, V806, DOI 10.1016/j.scitotenv.2021.150420
   Leal W, 2019, SCI TOTAL ENVIRON, V692, P1175, DOI 10.1016/j.scitotenv.2019.07.227
   Leck H., 2015, Current Opinion in Environmental Sustainability, V13, P61, DOI [10.1016/j.cosust.2015.02.004, DOI 10.1016/J.COSUST.2015.02.004]
   Leck H, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10072542
   Lonsdale K., 2015, Transformative adaptation: what it is, why it matters what is needed
   Magnan AK, 2020, CURR CLIM CHANGE REP, V6, P166, DOI 10.1007/s40641-020-00166-8
   Mapfumo P, 2017, CLIM DEV, V9, P439, DOI 10.1080/17565529.2015.1040365
   Martel, 2019, GEOGRAPHY CLIMATE CH, P355, DOI [10.1007/978-3-030-04873-0_13, DOI 10.1007/978-3-030-04873-019]
   Masimba G, 2021, Harare: City Scoping Study
   Miraftab F, 2012, J PLAN HIST, V11, P283, DOI 10.1177/1538513212447924
   Moore ML, 2014, ECOL SOC, V19, DOI 10.5751/ES-06966-190454
   Ndebele-Murisa MR, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0227915
   Nightingale AJ, 2022, WIRES CLIM CHANGE, V13, DOI 10.1002/wcc.740
   Ogwu M.C., 2019, The geography of climate change adaptation in urban Africa, DOI [10.1007/978-3-030-04873-02, DOI 10.1007/978-3-030-04873-02]
   Olsson P, 2006, ECOL SOC, V11, DOI 10.5751/ES-01595-110118
   Pahl-Wostl C, 2019, ENVIRON SCI POLICY, V91, P6, DOI 10.1016/j.envsci.2018.10.008
   Pahl-Wostl C, 2017, WATER RESOUR MANAG, V31, P2917, DOI 10.1007/s11269-017-1727-1
   Park SE, 2012, GLOBAL ENVIRON CHANG, V22, P115, DOI 10.1016/j.gloenvcha.2011.10.003
   Parnell S., 2014, Africa's Urban Revolution
   Parnell Sue., 2014, ROUTLEDGE HDB CITIES, V1
   Parnell S, 2011, GLOBAL ENVIRON CHANG, V21, pS12, DOI 10.1016/j.gloenvcha.2011.09.014
   Pasquini L, 2013, HABITAT INT, V40, P225, DOI 10.1016/j.habitatint.2013.05.003
   Pelling M, 2015, CLIMATIC CHANGE, V133, P113, DOI 10.1007/s10584-014-1303-0
   Pereira L, 2018, Urban Planet: Knowledge towards Sustainable Cities, P327, DOI [10.1017/9781316647554.018, DOI 10.1017/9781316647554.018]
   Petzold J, 2023, NAT CLIM CHANGE, V13, P1250, DOI 10.1038/s41558-023-01824-z
   Pieterse E., 2017, A Research Agenda for Cities, P218, DOI DOI 10.4337/9781785363429
   Pieterse E.A., 2008, CITY FUTURES C CRISI
   Reidsma P, 2023, LAND USE POLICY, V134, DOI 10.1016/j.landusepol.2023.106881
   Revi A, 2014, ENVIRON URBAN, V26, P11, DOI 10.1177/0956247814523539
   Roberts D.C., 2015, Cities in a finite planet, P96
   Roberts D, 2013, ENVIRON URBAN, V25, P299, DOI 10.1177/0956247813500904
   Roberts D, 2012, ENVIRON URBAN, V24, P167, DOI 10.1177/0956247811431412
   Roberts D, 2010, ENVIRON URBAN, V22, P397, DOI 10.1177/0956247810379948
   Roberts E, 2020, CLIM POLICY, V20, P758, DOI 10.1080/14693062.2019.1680336
   Romero-Lankao P, 2018, NAT CLIM CHANGE, V8, P754, DOI 10.1038/s41558-018-0264-0
   Ross AR, 2023, SUSTAIN RESIL INFRAS, V8, P48, DOI 10.1080/23789689.2022.2126921
   Saldana J., 2016, The coding manual for qualitative researchers, V3rd
   Sharifi A, 2020, J CLEAN PROD, V276, DOI 10.1016/j.jclepro.2020.122813
   Shi LD, 2021, SCIENCE, V372, P1408, DOI 10.1126/science.abc8054
   Shi LD, 2016, NAT CLIM CHANGE, V6, P131, DOI 10.1038/NCLIMATE2841
   Simon D, 2022, BUILD CITIES, V3, P1000, DOI 10.5334/bc.244
   Simpson NP, 2021, ONE EARTH, V4, P489, DOI 10.1016/j.oneear.2021.03.005
   Slater KR, 2023, BUILD CITIES, V4, P74, DOI 10.5334/bc.285
   Sparkes E, 2023, ENVIRON SCI POLICY, V140, P279, DOI 10.1016/j.envsci.2022.12.011
   Steele W, 2015, CURR OPIN ENV SUST, V14, P121, DOI 10.1016/j.cosust.2015.05.004
   Sutcliffe M., 2015, Metropolitan governance-case study eThekwini South Africa
   Swilling M., 2019, The Age of Sustainability, V1st, DOI [10.4324/9780429057823, DOI 10.4324/9780429057823]
   Taylor A., 2019, Leading Integrated Research for Agenda 2030 in Africa (LIRA2020) working paper
   Taylor A., 2014, Focales, V18, P1
   Terre BlancheM., 2006, RES IN PRACTICE, V2nd, P271
   Tooley G., 2022, 85 I MUN ENG SO AFR
   Trisos C., 2022, Regional Factsheet Series
   Tschakert P, 2013, CLIM DEV, V5, P340, DOI 10.1080/17565529.2013.828583
   Tschakert P, 2010, ECOL SOC, V15
   Wolfram M, 2016, CURR OPIN ENV SUST, V22, P18, DOI 10.1016/j.cosust.2017.01.014
   Ziervogel G., 2019, University initiatives in climate change mitigation and adaptation, P57
   Ziervogel G, 2022, S AFR J SCI, V118, DOI 10.17159/sajs.2022/14492
   Ziervogel G, 2022, CLIM POLICY, V22, P607, DOI 10.1080/14693062.2020.1863180
   Ziervogel G, 2018, CURR HIST, V117, P181
   Ziervogel G, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8090955
   Zimmer A, 2020, LANDSCAPE ECOL, V35, P2501, DOI 10.1007/s10980-020-01086-6
NR 107
TC 0
Z9 0
U1 2
U2 3
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 1462-9011
EI 1873-6416
J9 ENVIRON SCI POLICY
JI Environ. Sci. Policy
PD AUG
PY 2024
VL 158
AR 103784
DI 10.1016/j.envsci.2024.103784
EA MAY 2024
PG 13
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA XU3G3
UT WOS:001264145400001
OA hybrid
DA 2025-01-10
ER

PT J
AU Fragkou, MC
AF Fragkou, Maria Christina
TI Understanding everyday water experiences through flows: A feminist
   political ecology take on household metabolism
SO ENVIRONMENT AND PLANNING E-NATURE AND SPACE
LA English
DT Article; Early Access
DE Urban metabolism; Chile; hydrosocial; water security
ID DRINKING-WATER; URBAN METABOLISM; DESALINATION; COUNTRIES;
   SUSTAINABILITY; PERSPECTIVES; CONSUMPTION; ADAPTATION; PERCEPTION;
   MORTALITY
AB At a time of growing threats to global freshwater availability, urban water supply is becoming increasingly challenging, affecting water security for urban populations. Alternative water sources, technologies, and supply methods are employed to complement dwindling continental water sources and guarantee the human right to water. However, the related research reports that such solutions can exacerbate inequalities and jeopardise water security for the most vulnerable groups. There is therefore a need to delve into household dynamics and practices in order to detect the drawbacks of the water supply solutions implemented as part of sociotechnical transitions or climate change adaptation measures. The present article contributes by proposing a flexible framework for evaluating household water dynamics and everyday experiences based on the urban metabolism metaphor and enriched with feminist political ecology and critical literature on water security. The framework builds upon typical water balance accounts and is supplemented with information on (a) the source, price, continuity and pressure of all types of water consumed domestically; (b) the consumer's relationship with water, that is, whether people trust each water source, whether they accept its organoleptic characteristics (flavor, odor, and transparency), and whether they fear that consuming water may have negative health impacts; and (c) the actions that people employ to improve tap water quality for drinking, thus allowing the calculation of indirect costs and impacts associated with inadequate water quality. Results indicate that lower-income households metabolise water of lower quality and do so more slowly than high-income households. Furthermore, the actions they take to improve water quality involve more effort, higher monetary costs, additional energy consumption, and greater health impacts compared to higher-income groups.
C1 [Fragkou, Maria Christina] Univ Chile, Dept Geog, Santiago, Chile.
C3 Universidad de Chile
RP Fragkou, MC (corresponding author), Univ Chile, Dept Geog, Santiago, Chile.
EM mariac.fragkou@uchilefau.cl
OI Fragkou, Maria Christina/0000-0001-6831-4549
FU Chilean National Research and Development Agency (ANID), under Fondecyt
   Regular Project [1181859]
FX The author(s) disclosed receipt of the following financial support for
   the research, authorship, and/or publication of this article: The
   research presented in this paper drew on research funded by the Chilean
   National Research and Development Agency (ANID), under Fondecyt Regular
   Project 1181859.
CR Abedin MA, 2014, INT J DISAST RISK SC, V5, P110, DOI 10.1007/s13753-014-0021-6
   Agudelo-Vera CM, 2012, RESOUR CONSERV RECY, V64, P3, DOI 10.1016/j.resconrec.2012.01.014
   [Anonymous], Arsenic in Drinking-water
   Arellano Escudero N., 2011, Quaderns d'Historia de l'Enginyeria, VXII, P229
   Arias M, 2014, J ECON GEOGR, V14, P73, DOI 10.1093/jeg/lbt007
   Binkley J., 2003, PLANTA DESALINIZADORA DE ANTOFAGASTA (CH-0171), P32
   Boelens R, 2016, WATER INT, V41, P1, DOI 10.1080/02508060.2016.1134898
   Bravo Leslie, 2019, Polis, V18, P64, DOI 10.32735/s0718-6568/2019-n54-1401
   Brewis A, 2024, WIRES WATER, V11, DOI 10.1002/wat2.1685
   Broto VC, 2018, APPL ENERG, V228, P645, DOI 10.1016/j.apenergy.2018.06.057
   Broto VC, 2012, J IND ECOL, V16, P851, DOI 10.1111/j.1530-9290.2012.00556.x
   Bruhl J, 2021, WATER RESOUR ECON, V34, DOI 10.1016/j.wre.2021.100177
   Budds J, 2004, SINGAPORE J TROP GEO, V25, P322, DOI 10.1111/j.0129-7619.2004.00189.x
   Bulkeley H, 2014, URBAN STUD, V51, P1471, DOI 10.1177/0042098013500089
   Bustos-Gallardo B, 2021, GEOFORUM, V119, P177, DOI 10.1016/j.geoforum.2021.01.001
   Campero C, 2021, ENVIRON SCI POLICY, V120, P187, DOI 10.1016/j.envsci.2021.03.004
   Campero C, 2019, WATER-SUI, V11, DOI 10.3390/w11050886
   Fragkou MC, 2020, T I BRIT GEOGR, V45, P448, DOI 10.1111/tran.12351
   Fragkou MC, 2016, DESALINATION, V397, P1, DOI 10.1016/j.desal.2016.06.007
   Dakyaga F, 2023, URBAN GEOGR, V44, P1369, DOI 10.1080/02723638.2022.2106054
   DeMyers C, 2017, ENVIRON JUSTICE, V10, P72, DOI 10.1089/env.2016.0043
   Di Donato M, 2015, J IND ECOL, V19, P904, DOI 10.1111/jiec.12356
   Dijst M., 2018, Exploring urban metabolism-Towards an interdisciplinary perspective, P15
   Dolnicar S, 2009, WATER SCI TECHNOL, V60, P1433, DOI 10.2166/wst.2009.325
   Domènech L, 2013, J CLEAN PROD, V38, P44, DOI 10.1016/j.jclepro.2011.09.020
   Doria MD, 2010, WATER POLICY, V12, P1, DOI 10.2166/wp.2009.051
   Doria Miguel F., 2006, Journal of Water and Health, V4, P271, DOI 10.2166/wh.2006.0023
   FIGUEROA O, 2009, Chile: Del pais urbano al pais metropolitano, P133
   Fragkou M. C., 2021, Planeo, V12
   Fragkou MC, 2018, TAPPING THE OCEANS: SEAWATER DESALINATION AND THE POLITICAL ECOLOGY OF WATER, P76
   Godden NJ., 2020, Gender Development, V28, P593, DOI [DOI 10.1080/13552074.2020.1842040, https://doi.org/10.1080/13552074.2020.1842040]
   Haberl H, 2004, LAND USE POLICY, V21, P199, DOI 10.1016/j.landusepol.2003.10.013
   HARAWAY D, 1988, FEMINIST STUD, V14, P575, DOI 10.2307/3178066
   Harder R, 2017, J ENVIRON PLANN MAN, V60, P178, DOI 10.1080/09640568.2016.1142864
   Harriden K, 2012, WATER PRACT TECHNOL, V7, DOI 10.2166/wpt.2012.020
   Hoekstra AY, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaba52
   Howard G., 2003, Service Level and Health, V39
   Hurlimann A, 2016, INT J WATER RESOUR D, V32, P650, DOI 10.1080/07900627.2016.1143350
   Inkani AI, 2021, J ENVIRON PLANN MAN, V64, P536, DOI 10.1080/09640568.2020.1776228
   Israel Andrei., 2013, RES ACTION POLICY AD, P33, DOI DOI 10.1007/978-94-007-5518-5_3
   Jepson Wendy, 2017, Water Security, V1, P46, DOI 10.1016/j.wasec.2017.07.001
   Jepson W, 2014, GEOFORUM, V51, P107, DOI 10.1016/j.geoforum.2013.10.002
   Jones E, 2019, SCI TOTAL ENVIRON, V657, P1343, DOI 10.1016/j.scitotenv.2018.12.076
   Katner A. L., 2018, America's path to drinking water infrastructure inequality and environmental injustice, P15
   Kooy M, 2008, GEOFORUM, V39, P1843, DOI 10.1016/j.geoforum.2008.07.012
   Kovacic Z, 2017, ENERG POLICY, V100, P377, DOI 10.1016/j.enpol.2016.06.047
   Linton J, 2014, GEOFORUM, V57, P170, DOI [10.1016/j.geoforum.2014.08.003, 10.1016/j.geoforum.2013.10.008]
   Liu JR, 2005, POPUL ENVIRON, V26, P325, DOI 10.1007/s11111-005-3345-8
   Lopez Jose Francisco, 2020, Urol Oncol, V38, DOI 10.1016/j.urolonc.2020.01.014
   Madrid C, 2013, BIOSCIENCE, V63, P14, DOI 10.1525/bio.2013.63.1.6
   Maino V., 2011, HIST AGUA DESIERTO M
   Corbella HM, 2009, B ASOC GEOGR ESP, P297
   Martin Morales D. F., 2003, CONGRESO INGENIERIA
   McEvoy J, 2014, WATER ALTERN, V7, P518
   McEvoy J, 2012, GLOBAL ENVIRON CHANG, V22, P353, DOI 10.1016/j.gloenvcha.2011.11.001
   Meehan K, 2020, WIRES WATER, V7, DOI 10.1002/wat2.1486
   Mehta L, 2014, WORLD DEV, V59, P59, DOI 10.1016/j.worlddev.2013.12.018
   Minero Consejo., 2020, Chilean MIning Council
   Moll HC, 2005, J IND ECOL, V9, P259, DOI 10.1162/1088198054084662
   Morote AF, 2017, PROF GEOGR, V69, P1, DOI 10.1080/00330124.2015.1135403
   Musango JK, 2020, ECOL INDIC, V119, DOI 10.1016/j.ecolind.2020.106746
   Newell JP, 2015, PROG HUM GEOG, V39, P702, DOI 10.1177/0309132514558442
   Obeng-Odoom F, 2012, DEV PRACT, V22, P1135, DOI 10.1080/09614524.2012.714744
   Odell SD, 2021, J CLEAN PROD, V323, DOI 10.1016/j.jclepro.2021.129104
   Peloso M, 2014, WATER ALTERN, V7, P121
   Pincetl S, 2017, GEOFORUM, V85, P381, DOI 10.1016/j.geoforum.2017.03.002
   Pincetl S, 2012, LANDSCAPE URBAN PLAN, V107, P193, DOI 10.1016/j.landurbplan.2012.06.006
   Prieto M, 2022, EXTRACT IND SOC, V11, DOI 10.1016/j.exis.2022.101081
   Prieto M, 2016, WATER INT, V41, P191, DOI 10.1080/02508060.2015.1107400
   Queirolo F, 2000, SCI TOTAL ENVIRON, V255, P85, DOI 10.1016/S0048-9697(00)00451-4
   Regional de Antofagasta Gobierno., 2008, Estrategia Regional de Desarrollo 2009-2020
   Ricart S, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13052473
   Robak A, 2018, WATER INT, V43, P436, DOI 10.1080/02508060.2018.1446613
   Rusca M, 2017, GEOFORUM, V84, P138, DOI 10.1016/j.geoforum.2017.06.013
   Rygaard M, 2011, J ENVIRON MANAGE, V92, P185, DOI 10.1016/j.jenvman.2010.09.009
   Shlezinger M, 2018, ENVIRON RES, V166, P620, DOI 10.1016/j.envres.2018.06.053
   Shlezinger M, 2016, INT J CARDIOL, V220, P544, DOI 10.1016/j.ijcard.2016.06.241
   Shomar B, 2017, ENVIRON RES, V158, P203, DOI 10.1016/j.envres.2017.06.018
   Smith AH, 1998, AM J EPIDEMIOL, V147, P660, DOI 10.1093/oxfordjournals.aje.a009507
   Sulley R., 2018, Applying a Critical Feminist Approach to Water Inequality in Dhaka Working Paper DPU WORKING PAPER, V195
   Sultana F, 2011, GEOFORUM, V42, P163, DOI 10.1016/j.geoforum.2010.12.002
   Sundberg J., 2017, INT ENCY GEOGRAPHY, P1, DOI DOI 10.1002/9781118786352.WBIEG0804
   Sylvester R, 2023, WATER POLICY, V25, P492, DOI 10.2166/wp.2023.253
   Tocar M., The Guardian
   Truelove Y., 2011, Conceptualizing water inequality in Delhi, India through a feminist political ecology framework, P10
   Twigger-Ross C., 2015, Community resilience to climate change: an evidence review
   UNICEF/WHO, 2021, MEASUREMENT MONITORI
   Vicuna S., 2022, Ministerio de Ciencia, Tecnologia, Conocimiento e Innovacion
   Villar-Navascués RA, 2021, WATER-SUI, V13, DOI 10.3390/w13192738
   Weisner ML, 2020, SUSTAIN PROD CONSUMP, V21, P269, DOI 10.1016/j.spc.2019.08.008
   WHO, 2017, Guidelines for drinking-water quality, V4th
   World Health organization, 2011, SAF DRINK WAT DES
   Zhang Y, 2015, ENVIRON SCI TECHNOL, V49, P11247, DOI 10.1021/acs.est.5b03060
NR 93
TC 1
Z9 1
U1 4
U2 7
PU SAGE PUBLICATIONS INC
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 2514-8486
EI 2514-8494
J9 ENVIRON PLAN E-NAT
JI Environ. Plan. E-Nat. Space
PD 2024 APR 30
PY 2024
DI 10.1177/25148486241250012
EA APR 2024
PG 26
WC Environmental Studies; Geography
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA OY9A5
UT WOS:001210943900001
DA 2025-01-10
ER

PT J
AU Wei, Q
   Wei, Q
   Xu, JZ
   Liu, YZ
   Wang, D
   Chen, SY
   Qian, WH
   He, M
   Chen, P
   Zhou, XY
   Qi, ZM
AF Wei, Qi
   Wei, Qi
   Xu, Junzeng
   Liu, Yuzhou
   Wang, Dong
   Chen, Shengyu
   Qian, Wenhao
   He, Min
   Chen, Peng
   Zhou, Xuanying
   Qi, Zhiming
TI Nitrogen losses from soil as affected by water and fertilizer management
   under drip irrigation: Development, hotspots and future perspectives
SO AGRICULTURAL WATER MANAGEMENT
LA English
DT Article
DE Bibliometric analysis; Gaseous nitrogen losses; Nitrate leaching;
   CiteSpace; Knowledge map
ID NITRATE LEACHING LOSS; CLIMATE-CHANGE ADAPTATION; NO EMISSIONS;
   NITRIFICATION INHIBITORS; BIBLIOMETRIC ANALYSIS; SCIENTIFIC-RESEARCH;
   FERTIGATION; SYSTEM; DYNAMICS; AMMONIA
AB While soil nitrogen (N) losses under drip irrigation water and fertilizer management have become a key issue in global environmental N pollution, no current systematic review of this issue exists in the literature. Drawn from the Web of Science Core Collection database, 290 related articles were identified as research subjects (1991 - 2022). To reveal the basic characteristics, research power, hotspots and future perspectives of this research field, an in-depth bibliometrics analysis and graphical knowledge display were undertaken by using CiteSpace software. By analyzing the evolution process of keywords, greenhouse gases, water use efficiency and crop yield have been research hotspots of this field in recent years. Irrigation systems, soil moisture, fertigation and N losses have always been the core research topics. The focus on N losses pathways has gradually shifted from nitrate (NO 3 - ) leaching alone to comprehensive consideration of multiple losses pathways including NO 3 - leaching, and emissions of N 2 O, NH 3 and NO. The corresponding water and fertilizer management strategies have gradually shifted from concentrating on water and fertilizer application amounts to diversified management methods involving combinations of amounts, methods and types. Moreover, the development and widespread application of new water and fertilizer management technologies and exogenous additives have further enriched the research direction of soil N losses under drip irrigation water and fertilizer management. Future research still needs to explore how to balance high crop yields and minimize environmental impacts, which will provide effective strategies for controlling agricultural non -point source pollution and mitigating global warming.
C1 [Wei, Qi; Wei, Qi; Xu, Junzeng; Liu, Yuzhou; Wang, Dong; Chen, Shengyu; Qian, Wenhao; He, Min; Chen, Peng; Zhou, Xuanying] Hohai Univ, Coll Agr Sci & Engn, Nanjing 211100, Peoples R China.
   [Wei, Qi; Wei, Qi; Xu, Junzeng] Hohai Univ, Jiangsu Prov Engn Res Ctr Agr Soil Water Efficient, Nanjing 211100, Peoples R China.
   [Xu, Junzeng] Hohai Univ, Natl Key Lab Water Disaster Prevent, Nanjing 210098, Peoples R China.
   [Qi, Zhiming] McGill Univ, Dept Bioresource Engn, Ste Anne De Bellevue, PQ H9X 3V9, Canada.
C3 Hohai University; Hohai University; Hohai University; McGill University
RP Wei, Q (corresponding author), Hohai Univ, Coll Agr Sci & Engn, Nanjing 211100, Peoples R China.
EM weiqi@hhu.edu.cn
RI Wei, Qi/JJF-3393-2023; , xujunzeng/AGY-0464-2022; Chen,
   Peng/IXW-6268-2023
OI Chen, Peng/0000-0003-3630-5685; Wei, Qi/0009-0006-9261-1336
FU National Natural Science Foundation of China [51809077, 51879075];
   Postdoctoral Fellowship Program of CPSF [GZC20230668]
FX This work was supported by the National Natural Science Foundation of
   China (51809077, 51879075) and Postdoctoral Fellowship Program of CPSF
   (GZC20230668) .
CR Abalos D, 2014, SCI TOTAL ENVIRON, V490, P880, DOI 10.1016/j.scitotenv.2014.05.065
   Abalos D, 2014, AGR ECOSYST ENVIRON, V189, P136, DOI 10.1016/j.agee.2014.03.036
   Abubakar SA, 2022, J CLEAN PROD, V357, DOI 10.1016/j.jclepro.2022.131906
   Adu MO, 2022, AGRON SUSTAIN DEV, V42, DOI 10.1007/s13593-022-00753-z
   Akiyama H, 2010, GLOBAL CHANGE BIOL, V16, P1837, DOI 10.1111/j.1365-2486.2009.02031.x
   Aleixandre-Benavent R, 2017, J CLEAN PROD, V147, P406, DOI 10.1016/j.jclepro.2017.01.112
   Arbat G, 2013, AGR WATER MANAGE, V120, P11, DOI 10.1016/j.agwat.2012.08.001
   Aronsson PG, 2000, J ENVIRON MANAGE, V58, P135, DOI 10.1006/jema.1999.0319
   Azam A, 2021, J CLEAN PROD, V295, DOI 10.1016/j.jclepro.2021.126496
   Bao L, 2023, AGR WATER MANAGE, V282, DOI 10.1016/j.agwat.2023.108278
   Baruch-Mordo S, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/aaf6e0
   Barzegari M, 2017, NUTR CYCL AGROECOSYS, V108, P211, DOI 10.1007/s10705-017-9853-y
   Behera SN, 2013, ENVIRON SCI POLLUT R, V20, P8092, DOI 10.1007/s11356-013-2051-9
   Berhane M, 2020, GLOBAL CHANGE BIOL, V26, P2686, DOI 10.1111/gcb.15018
   Boudet H, 2020, NAT CLIM CHANGE, V10, P69, DOI 10.1038/s41558-019-0641-3
   BUSSI C, 1991, J HORTIC SCI, V66, P487, DOI 10.1080/00221589.1991.11516178
   Cai DY, 2023, WATER-SUI, V15, DOI 10.3390/w15101932
   Chaplot V, 2021, GEODERMA, V392, DOI 10.1016/j.geoderma.2021.114984
   Chen CM, 2008, DATA KNOWL ENG, V67, P234, DOI 10.1016/j.datak.2008.05.004
   Chen CM, 2010, J AM SOC INF SCI TEC, V61, P1386, DOI 10.1002/asi.21309
   Chen HH, 2018, SCI TOTAL ENVIRON, V637, P746, DOI 10.1016/j.scitotenv.2018.05.053
   Chen KH, 2011, J INFORMETR, V5, P233, DOI 10.1016/j.joi.2010.10.007
   Chen P, 2022, AGR WATER MANAGE, V273, DOI 10.1016/j.agwat.2022.107921
   Chen P, 2022, AGR WATER MANAGE, V272, DOI 10.1016/j.agwat.2022.107867
   Chen SD, 2023, SCI TOTAL ENVIRON, V898, DOI 10.1016/j.scitotenv.2023.165484
   Chen WP, 2015, CHEMOSPHERE, V119, P654, DOI 10.1016/j.chemosphere.2014.07.035
   Cheng Y, 2022, AGR ECOSYST ENVIRON, V324, DOI 10.1016/j.agee.2021.107720
   Chitrakshi, 2022, REND LINCEI-SCI FIS, V33, P851, DOI 10.1007/s12210-022-01107-3
   Chopra M, 2021, J CLEAN PROD, V328, DOI 10.1016/j.jclepro.2021.129592
   Cooley ET, 2007, HYDROL PROCESS, V21, P2390, DOI 10.1002/hyp.6751
   Rey-Romero DC, 2022, ENVIRON SCI POLLUT R, V29, P83169, DOI 10.1007/s11356-022-21709-6
   Cui XT, 2019, J HYDROL, V574, P892, DOI 10.1016/j.jhydrol.2019.04.078
   Cui ZL, 2013, AGRON J, V105, P1411, DOI 10.2134/agronj2012.0398
   Dag A, 2023, PLANTS-BASEL, V12, DOI 10.3390/plants12173132
   Ding WH, 2023, PLANT SOIL, V483, P131, DOI 10.1007/s11104-022-05730-9
   Ding WH, 2022, AGR WATER MANAGE, V272, DOI 10.1016/j.agwat.2022.107797
   England MI, 2018, ENVIRON SCI POLICY, V79, P9, DOI 10.1016/j.envsci.2017.10.009
   Fan YQ, 2021, SOIL TILL RES, V206, DOI 10.1016/j.still.2020.104848
   Fang YX, 2022, J CLEAN PROD, V365, DOI 10.1016/j.jclepro.2022.132755
   Feng XY, 2023, J INTEGR AGR, V22, P897, DOI 10.1016/j.jia.2022.09.002
   Fentabil MM, 2016, AGR ECOSYST ENVIRON, V235, P242, DOI 10.1016/j.agee.2016.09.033
   Fernández E, 2023, AGR WATER MANAGE, V289, DOI 10.1016/j.agwat.2023.108548
   Fernández JE, 2020, AGR WATER MANAGE, V237, DOI 10.1016/j.agwat.2020.106074
   Fleming CS, 2013, HORTTECHNOLOGY, V23, P859, DOI 10.21273/HORTTECH.23.6.859
   Gallardo M, 2020, EUR J AGRON, V114, DOI 10.1016/j.eja.2019.125993
   Gärdenäs AI, 2005, AGR WATER MANAGE, V74, P219, DOI 10.1016/j.agwat.2004.11.011
   Geng YJ, 2021, GEODERMA, V383, DOI 10.1016/j.geoderma.2020.114730
   Gilsanz C, 2016, AGR ECOSYST ENVIRON, V216, P1, DOI 10.1016/j.agee.2015.09.030
   Glänzel W, 2003, SCIENTOMETRICS, V57, P197, DOI 10.1023/A:1024185601555
   Granados MR, 2013, AGR WATER MANAGE, V119, P121, DOI 10.1016/j.agwat.2012.12.014
   Gu BJ, 2023, NATURE, V613, DOI 10.1038/s41586-022-05481-8
   Guan CK, 2022, WATER RESOUR ECON, V38, DOI 10.1016/j.wre.2022.100196
   Guardia G, 2017, FIELD CROP RES, V204, P135, DOI 10.1016/j.fcr.2017.01.009
   Guo SM, 2023, GCB BIOENERGY, V15, P478, DOI 10.1111/gcbb.13022
   Hanson BR, 2006, AGR WATER MANAGE, V86, P102, DOI 10.1016/j.agwat.2006.06.013
   Harter J, 2014, ISME J, V8, P660, DOI 10.1038/ismej.2013.160
   He K, 2019, SCI TOTAL ENVIRON, V670, P236, DOI 10.1016/j.scitotenv.2019.03.184
   He ZH, 2022, AGR WATER MANAGE, V262, DOI 10.1016/j.agwat.2021.107404
   He ZJ, 2023, AGR WATER MANAGE, V280, DOI 10.1016/j.agwat.2023.108220
   Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102
   Hong C, 2024, AGR WATER MANAGE, V292, DOI 10.1016/j.agwat.2024.108681
   Huang L, 2020, J CLEAN PROD, V252, DOI 10.1016/j.jclepro.2019.119908
   Ji Q, 2014, SCIENTOMETRICS, V101, P1925, DOI 10.1007/s11192-014-1332-5
   Jiang ZX, 2020, J EXP BOT, V71, P520, DOI 10.1093/jxb/erz301
   Jin C, 2022, ENVIRON SCI POLLUT R, V29, P5577, DOI 10.1007/s11356-021-15539-1
   Kim DG, 2012, NUTR CYCL AGROECOSYS, V93, P51, DOI 10.1007/s10705-012-9498-9
   Kinoshita T, 2012, HORTSCIENCE, V47, P1529, DOI 10.21273/HORTSCI.47.10.1529
   Kong QH, 2012, IRRIGATION SCI, V30, P233, DOI 10.1007/s00271-011-0278-0
   Kuang WN, 2023, FRONT ENV SCI-SWITZ, V11, DOI 10.3389/fenvs.2023.1123423
   Lam SK, 2017, GLOBAL CHANGE BIOL, V23, P485, DOI 10.1111/gcb.13338
   Lazcano C, 2015, CALIF AGR, V69, P222, DOI 10.3733/ca.v069n04p222
   Lazicki P, 2022, APPL SOIL ECOL, V169, DOI 10.1016/j.apsoil.2021.104219
   Lee KH, 2005, AGR ECOSYST ENVIRON, V105, P615, DOI 10.1016/j.agee.2004.08.004
   Li CJ, 2020, J CLEAN PROD, V259, DOI 10.1016/j.jclepro.2020.120873
   Li HY, 2023, J CLEAN PROD, V407, DOI 10.1016/j.jclepro.2023.137116
   Li W, 2022, AGR ECOSYST ENVIRON, V333, DOI 10.1016/j.agee.2022.107968
   Li YQ, 2022, SOIL TILL RES, V223, DOI 10.1016/j.still.2022.105493
   Li YW, 2020, GEODERMA, V361, DOI 10.1016/j.geoderma.2019.114053
   Li Y, 2023, AGR WATER MANAGE, V282, DOI 10.1016/j.agwat.2023.108271
   Li Y, 2022, FIELD CROP RES, V286, DOI 10.1016/j.fcr.2022.108630
   Lichiheb N, 2019, AGR FOREST METEOROL, V269, P78, DOI 10.1016/j.agrformet.2019.02.005
   Liu X, 2019, AGR WATER MANAGE, V221, P34, DOI 10.1016/j.agwat.2019.04.009
   Lu YX, 2023, GEODERMA, V432, DOI 10.1016/j.geoderma.2023.116425
   Luan YJ, 2021, AGR WATER MANAGE, V246, DOI 10.1016/j.agwat.2020.106699
   Maltese NE, 2023, FIELD CROP RES, V294, DOI 10.1016/j.fcr.2023.108861
   Min J, 2012, AGR WATER MANAGE, V111, P53, DOI 10.1016/j.agwat.2012.05.003
   Nageshwari K, 2022, J CLEAN PROD, V357, DOI 10.1016/j.jclepro.2022.131737
   Ouyang W, 2018, SCI TOTAL ENVIRON, V637, P208, DOI 10.1016/j.scitotenv.2018.04.434
   Pan BB, 2016, AGR ECOSYST ENVIRON, V232, P283, DOI 10.1016/j.agee.2016.08.019
   Phogat V, 2014, J HYDROL, V513, P504, DOI 10.1016/j.jhydrol.2014.04.008
   Qiu SJ, 2010, SOIL TILL RES, V107, P80, DOI 10.1016/j.still.2010.02.006
   Ramli RA, 2019, POLYM CHEM-UK, V10, P6073, DOI 10.1039/c9py01036j
   Robinson SA, 2018, ENVIRON SCI POLICY, V85, P172, DOI 10.1016/j.envsci.2018.03.030
   Sahle-Demessie E, 2019, DESALINATION, V465, P104, DOI 10.1016/j.desal.2019.05.002
   Sanchez-Martín L, 2010, AGR ECOSYST ENVIRON, V137, P99, DOI 10.1016/j.agee.2010.01.006
   Schaufler G, 2010, EUR J SOIL SCI, V61, P683, DOI 10.1111/j.1365-2389.2010.01277.x
   Seglah PA, 2020, J CLEAN PROD, V261, DOI 10.1016/j.jclepro.2020.121191
   Sevic M, 2019, CROP PROT, V119, P46, DOI 10.1016/j.cropro.2019.01.006
   Shao YL, 2021, ENVIRON RES, V200, DOI 10.1016/j.envres.2021.111491
   Sharmasarkar EC, 2001, AGR WATER MANAGE, V46, P241, DOI 10.1016/S0378-3774(00)00090-1
   Shen S, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0191250
   Soto F, 2015, AGR ECOSYST ENVIRON, V200, P62, DOI 10.1016/j.agee.2014.10.022
   Sun L, 2020, COMPUT INTELL-US, V36, P1686, DOI 10.1111/coin.12306
   Sun Y, 2022, J SOIL SCI PLANT NUT, V22, P4008, DOI 10.1007/s42729-022-01003-7
   Tang JZ, 2021, AGR WATER MANAGE, V253, DOI 10.1016/j.agwat.2021.106945
   Thompson RB, 2007, AGR WATER MANAGE, V89, P261, DOI 10.1016/j.agwat.2007.01.013
   Thompson R, 2023, AGR WATER MANAGE, V289, DOI 10.1016/j.agwat.2023.108547
   Tian HQ, 2019, GLOBAL CHANGE BIOL, V25, P640, DOI 10.1111/gcb.14514
   Tian X, 2018, RESOUR CONSERV RECY, V131, P148, DOI 10.1016/j.resconrec.2018.01.002
   Vasconcelos MW, 2022, J CLEAN PROD, V366, DOI 10.1016/j.jclepro.2022.132756
   Wang C, 2017, SCI TOTAL ENVIRON, V574, P1044, DOI 10.1016/j.scitotenv.2016.09.160
   Wang HY, 2022, BIOSYST ENG, V219, P56, DOI 10.1016/j.biosystemseng.2022.04.021
   Wang SJ, 2022, SCI TOTAL ENVIRON, V830, DOI 10.1016/j.scitotenv.2022.154753
   Wang ZH, 2018, J CLEAN PROD, V199, P1072, DOI 10.1016/j.jclepro.2018.06.183
   Wei Q, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110472
   Xu H, 2021, SOIL TILL RES, V213, DOI 10.1016/j.still.2021.105125
   Xu XB, 2022, J CLEAN PROD, V377, DOI 10.1016/j.jclepro.2022.134377
   Yang GY, 2020, SCI TOTAL ENVIRON, V743, DOI 10.1016/j.scitotenv.2020.140799
   Yang KJ, 2017, AGR WATER MANAGE, V179, P260, DOI 10.1016/j.agwat.2016.04.014
   Yang P, 2023, WATER-SUI, V15, DOI 10.3390/w15091733
   Yu HY, 2023, SCI TOTAL ENVIRON, V871, DOI 10.1016/j.scitotenv.2023.162054
   Yu YZ, 2022, AGR WATER MANAGE, V260, DOI 10.1016/j.agwat.2021.107270
   Yuan D, 2022, SOIL BIOL BIOCHEM, V172, DOI 10.1016/j.soilbio.2022.108760
   Zeng WB, 2020, ENVIRON SCI POLLUT R, V27, P8129, DOI 10.1007/s11356-019-07326-w
   Zhang BG, 2017, AGR ECOSYST ENVIRON, V241, P133, DOI 10.1016/j.agee.2017.03.006
   Zhang X, 2021, ENVIRON POLLUT, V278, DOI 10.1016/j.envpol.2021.116852
   Zhang X, 2019, AGR WATER MANAGE, V211, P26, DOI 10.1016/j.agwat.2018.09.045
   Zhang X, 2015, NATURE, V528, P51, DOI 10.1038/nature15743
   Zhao XB, 2017, AUTOMAT CONSTR, V80, P37, DOI 10.1016/j.autcon.2017.04.002
   Zhao YM, 2021, ENVIRON POLLUT, V273, DOI 10.1016/j.envpol.2021.116521
   Zheng J, 2023, SCI TOTAL ENVIRON, V886, DOI 10.1016/j.scitotenv.2023.163804
   Zhou W, 2018, ENERGY REP, V4, P724, DOI 10.1016/j.egyr.2018.10.012
   Zhou XD, 2015, SCIENTOMETRICS, V105, P231, DOI 10.1007/s11192-015-1659-6
   Zou HY, 2020, AGR WATER MANAGE, V230, DOI 10.1016/j.agwat.2019.105986
NR 134
TC 11
Z9 11
U1 68
U2 91
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0378-3774
EI 1873-2283
J9 AGR WATER MANAGE
JI Agric. Water Manage.
PD MAY 1
PY 2024
VL 296
AR 108791
DI 10.1016/j.agwat.2024.108791
EA MAR 2024
PG 18
WC Agronomy; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Water Resources
GA PO7X5
UT WOS:001215096400001
OA hybrid
HC Y
HP N
DA 2025-01-10
ER

PT J
AU Beyene, B
   Tilahun, M
   Alemu, M
AF Beyene, Baro
   Tilahun, Mesfin
   Alemu, Mebratu
TI The impact of livelihood diversification as a climate change adaptation
   strategy on poverty level of pastoral households in southeastern and
   southern Ethiopia
SO COGENT SOCIAL SCIENCES
LA English
DT Article
DE poverty; poverty line; Foster-Greer-Thorbecke Index; livelihood
   diversification; determinants, impact, Ethiopia
AB The purpose of this study was, therefore, to examine the determinants of poverty depth in pastoral households, and the impact of adopting livelihood diversification on the poverty level of households in the Arero district of Borena Zone and Rayitu district of Bale Zone, Ethiopia. A multistage sampling technique was used, and 396 households were selected from the Arero and Rayitu Districts. The cost of basic needs (CBN) approach was used to determine the study areas. Accordingly, the absolute poverty line was determined to be 10,881.26 Birr per adult per annum. Based on the poverty line, 34.6 % of the sample households were in the poor category. The Foster-Greer-Thorbecke index results indicated that the poverty incidence, poverty gap, and poverty severity were 34.6, 9.28, and 3.62, respectively. Two econometric models were used for the analysis, namely the Tobit and Multinomial Endogenous Switching models. The results of the Tobit logistic regression revealed that the age of the household head, household size, and distance to the nearest market significantly increased the poverty level of the pastoral households. However, livestock size as measured by tropical livestock unit and frequency of extension contact significantly decreased the poverty depth of pastoral households. On the other hand, the output of the multinomial endogenous switching regression model showed that the joint adoption of non-farm activities and crop production had a decreasing and significant impact on the poverty level of pastoral households. Therefore, policies that promote livelihood diversification of pastoral communities are critical to lowering the poverty level of pastoral households in semi-arid areas.
C1 [Beyene, Baro] Oromia State Univ, Dept Econ, POB 209, Batu, Ethiopia.
   [Beyene, Baro; Alemu, Mebratu] Arba Minch Univ, Dept Econ, Arba Minch, Ethiopia.
   [Tilahun, Mesfin] Norwegian Univ Life Sci, Sch Econ & Business, As, Norway.
   [Tilahun, Mesfin] Mekelle Univ, Dept Econ, Mekelle, Ethiopia.
C3 Arba Minch University; Norwegian University of Life Sciences; Mekelle
   University
RP Beyene, B (corresponding author), Oromia State Univ, Dept Econ, POB 209, Batu, Ethiopia.
EM bar.beyen@gmail.com
RI Tilahun, Mesfin/AAY-3817-2021
FU We would like to thank Oromia State University for giving Mr. Baro
   Beyene Waqjira the opportunity to study Ph.D. at Arba Minch University
   and for providing all the necessary material support in producing this
   article. We also express our deepest gratitude; Arba Minch University
FX We would like to thank Oromia State University for giving Mr. Baro
   Beyene Waqjira the opportunity to study Ph.D. at Arba Minch University
   and for providing all the necessary material support in producing this
   article. We also express our deepest gratitude to Arba Minch University
   for its financial support and for all efforts to follow up and fill the
   gaps in the article. We would also like to extend our gratitude to
   Mesfin Menza (Ph.D.), Tora Abebe (Ph.D.), and Zerihun Getachew (PhD.))
   for their valuable and constructive comments on this article. Lastly, we
   would like to express our appreciation to the zonal, district, and
   kebele officials of Arero district of Borena Zone and Rayitu district of
   Bale Zone for their cooperation during our data collection
CR Abebe Tsehaynesh, 2021, ScientificWorldJournal, V2021, P3894610, DOI 10.1155/2021/3894610
   Abebe Z., 2011, Dimensions and Determinants of poverty among rural households: The case of Itang Special district in Gambella, Ethiopia (issue May)
   Abubeker Mohammed Abubeker Mohammed, 2014, Journal of Development and Agricultural Economics, V6, P257
   Achiba GA, 2018, PASTORALISM, V8, DOI 10.1186/s13570-018-0120-x
   Addae-Karankye A., 2014, Ameri Intern J Soci Sci, V3, P147
   Ali A, 2017, CLIM RISK MANAG, V16, P183, DOI 10.1016/j.crm.2016.12.001
   [Anonymous], 2018, Global food security strategy (GFSS): Uganda country plan
   [Anonymous], 2019, Food assistance fact sheet Nepal
   [Anonymous], 2017, WMO Statement on the State of the Global Climate in 2017
   [Anonymous], 2018, FOOD AGR ORG
   Anyanwu J.C., 2017, Asian Journal of Economic Modelling, V5, P297, DOI 10.18488/journal.8.2017.53.297.317
   Ayal DY, 2018, INT J CLIM CHANG STR, V10, P596, DOI [10.1108/ijccsm-06-2017-0143, 10.1108/IJCCSM-06-2017-0143]
   Berhanu W., 2014, WIDER WORKING PAPER, DOI 10.35188/UNU-WIDER/2014/749-3
   Berhe M, 2017, PASTORALISM, V7, DOI 10.1186/s13570-017-0084-2
   Bhuiya A, 2007, J HEALTH POPUL NUTR, V25, P134
   Biazen M., 2014, OALib, V01, DOI [10.4236/oalib.1100453, DOI 10.4236/OALIB.1100453]
   Birhanu N., 2017, American Journal of Environmental and Geoscience, V1, P19
   Borko Z. P., 2017, International Journal of African and Asian Studies, V29, P68
   Cameron A. C., 2005, MICROECONOMETRICS ME, DOI 10.1017/CBO9780511811241
   Cosmas E., 2022, The Sub Saharan Journal of Social Sciences and Humanities, V1, P25
   Debela N., 2019, Am J Clim Change, V8, p40?61, DOI [DOI 10.4236/AJCC.2019.81003, 10.4236/ajcc.2019.81003]
   Dercon S., 1998, Working Paper Series - Centre for the Study of African Economies, University of Oxford
   Dereje H. B., 2015, Journal of Poverty, Investment and Development, V17, P56
   Desalegn A. Y., 2018, Springer Nature Switzerland, P1, DOI [https://doi.org/10.10007/978-3-319-71025-9_190-1, DOI 10.10007/978-3-319-71025-9_190-1]
   Ejo A., 2020, Global Journal of Ecology, V5, P033, DOI [10.17352/gje.000017, DOI 10.17352/GJE.000017]
   Ermiyas A. M., 2019, Arts and Social Sciences Journal, V10, DOI [10.4172/2151-6200.1000436, DOI 10.4172/2151-6200.1000436]
   Eyasu AM, 2020, COGENT FOOD AGR, V6, DOI 10.1080/23311932.2020.1823652
   FAO, 2004, Socio-economic analysis and Policy implications of the roles of Agriculture in developing countries. Summary report, roles of Agriculture Project, FAO, Rome
   Fassil Eshetu Fassil Eshetu, 2016, Journal of Development and Agricultural Economics, V8, P215, DOI 10.5897/JDAE2016-0736
   Fissha A., 2019, International Journal of Climate Change Strategies and Management, V11, P518, DOI [https://doi.org/10.1108/IJCCSM-10-2017-0192, DOI 10.1108/IJCCSM-10-2017-0192]
   Fitsum B., 2017, Clim Change, V3, P889, DOI 10.23959/sfjgw-1000007
   Food for the Hungry and Tearfund, 2019, Making markets work. The role of livestock markets in building the resilience of pastoralists against drought in Marsabit
   FOSTER J, 1984, ECONOMETRICA, V52, P761, DOI 10.2307/1913475
   Galvin KA, 2001, CLIMATE RES, V19, P161, DOI 10.3354/cr019161
   Giro A., 2020, International Journal of Veterinary Science and Research, V6, P014, DOI [10.17352/ijvsr.000048, DOI 10.17352/IJVSR.000048]
   Goodman S, 2019, COMPUT GEOSCI-UK, V122, P103, DOI 10.1016/j.cageo.2018.10.009
   Greene W.H., 2012, Econometric Analysis: Seventh Edition
   Guilyardi E., 2018, Office for Climate Education, Sorbonne Universite
   Herrero M, 2016, REV SCI TECH OIE, V35, P417, DOI 10.20506/rst.35.2.2533
   Johnston J., 1997, Econometric Methods, V4th
   Kendall M. G., 1948, Rank correlation methods.
   Kimaro EG, 2018, PASTORALISM, V8, DOI 10.1186/s13570-018-0125-5
   Kothari C.R., 2004, Research methodology: Methods and techniques, DOI DOI 10.1017/CBO9781107415324.004
   Malagnoux M., 2007, Afforestation and Sustainable Forests as a Means to Combat Desertification
   Maxwell D., 2017, Feinstein International Center, P3
   Mekore G., 2018, J EC INT FINANCE, V10, P22, DOI DOI 10.5897/JEIF2017.0837
   Melketo Tagesse A., 2020, Sustainable Agriculture Research, V9, P26, DOI 10.5539/sar.v9n1p26
   Mohammed Mussa Mohammed Mussa, 2018, African Journal of Agricultural Research, V13, P673, DOI 10.5897/AJAR2017.12982
   Odusola P.C.Ayodele, 2017, Income inequality trends in sub-Saharan
   Oparinde LO, 2021, AQUACULT ECON MANAG, V25, P450, DOI 10.1080/13657305.2021.1893863
   Planning and Development Commission, 2018, Poverty and economic growth in Ethiopia (1995/96-2015/16)
   Ralston Laura., 2017, The Impacts of Safety Nets in Africa What Are We Learning? Policy Research
   Rehan Sheikh Feroze, 2019, International Journal of Agricultural Resources Governance and Ecology, V15, P232
   Sadik A. H., 2021, International Journal of Agricultural Economics, V6, P256, DOI [https://doi.org/10.11648/j.ijae.20210606.13, DOI 10.11648/J.IJAE.20210606.13]
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Sen Z, 2012, J HYDROL ENG, V17, P1042, DOI 10.1061/(ASCE)HE.1943-5584.0000556
   Serkalem Getachew Serkalem Getachew, 2014, Research Journal of Environmental Sciences, V8, P300, DOI 10.3923/rjes.2014.300.317
   Shaga H.H., 2021, Euro. J. Sustain. Dev. Res., V5, DOI [10.21601/ejosdr/10844, DOI 10.21601/EJOSDR/10844]
   Shibru T. M., 2014, Journal of Poverty, Investment and Development-an Open Access International Journal, V3, P6
   Teka AM, 2019, WORLD DEV PERSPECT, V15, DOI 10.1016/j.wdp.2019.100123
   Teshome D, 2022, SMALL RUMINANT RES, V206, DOI 10.1016/j.smallrumres.2021.106594
   TOBIN J, 1958, ECONOMETRICA, V26, P24, DOI 10.2307/1907382
   UNICEF, 2015, Ethiopia humanitarian situation report SitRep #7-reporting period
   UNICEF, 2018, Ethiopia Humanitarian Situation Report SitRep # 4- Reporting Period April 2018
   Woldie D. T., 2020, International Journal of Agricultural Economics, V5, P49, DOI [https://doi.org/10.11648/j.ijae.20200503.11, DOI 10.11648/J.IJAE.20200503.11]
   Worku MA, 2022, ENVIRON SYST RES, V11, DOI 10.1186/s40068-022-00247-7
   Yusuf H. M., 2015, Developing Country Studies, V5, P40
NR 67
TC 2
Z9 2
U1 2
U2 6
PU TAYLOR & FRANCIS AS
PI OSLO
PA KARL JOHANS GATE 5, NO-0154 OSLO, NORWAY
SN 2331-1886
J9 COGENT SOC SCI
JI Cogent Soc. Sci.
PD DEC 15
PY 2023
VL 9
IS 2
AR 2277349
DI 10.1080/23311886.2023.2277349
PG 21
WC Social Sciences, Interdisciplinary
WE Emerging Sources Citation Index (ESCI)
SC Social Sciences - Other Topics
GA Y1IC5
UT WOS:001102864100001
OA gold
DA 2025-01-10
ER

PT J
AU Tasnuva, A
   Bari, QH
   Islam, AMT
   Alam, GMM
AF Tasnuva, Anjum
   Bari, Quazi Hamidul
   Islam, Abu Reza Md Towfiqul
   Alam, G. M. Monirul
TI Livelihood and climate vulnerability of coastal communities to natural
   disaster in south-western Bangladesh
SO INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY
LA English
DT Article
DE Climate change; resilience; adaptation strategies; coastal livelihood;
   southwest coastal zone
ID LAND-USE; RISKS; ADAPTATION; HOUSEHOLDS; DROUGHT; INDEX; VARIABILITY;
   SALINITY; CYCLONES; IMPACTS
AB Bangladesh is one of the countries that is most likely to be affected by natural disasters and climate change. However, much less is known about the integrated livelihood and climate vulnerabilities of coastal communities to natural disasters in southwestern Bangladesh. Therefore, this paper proposes a holistic approach to measuring livelihood vulnerability in the southwestern coast of Bangladesh based on primary data from 300 respondents through face-to-face interviews, focus group discussion (FGD), and key informant interviews (KII), and secondary data on rainfall and temperature for the years 2010-2017. This study developed the livelihood vulnerability index (LVI), the climate vulnerability index (CVI), and the LVI-IPCC to estimate climate vulnerability by incorporating 36 indicators of 9 major components under three dimensions. The pragmatic results show that the three coastal unions have different LVI, CVI, and LVI-IPCC values. Still, the households of the Gabura union showed more vulnerability than the rest of the two, with the highest LVI, CVI, and LVI-IPCC values due to their inadequate access to fresh water, limited physical resources, fewest livelihood strategies, the least variety of crops, and worst health conditions. This logical approach may be applied in data-scarce regions to assess vulnerability and evaluate potential policy efficiency for baseline comparison. The study demonstrates that the requirement for focused interventions and context-specific sustainable policies and development approaches should be implemented to lessen the vulnerability of coastal dwellers. These findings have implications for developing and implementing household resilience and climate change adaptation projects by the government, donor organizations, and other pertinent groups in three susceptible unions.
C1 [Tasnuva, Anjum] Khulna Univ Engn & Technol KUET, Inst Disaster Management, Khulna, Bangladesh.
   [Bari, Quazi Hamidul] Khulna Univ Engn & Technol KUET, Dept Civil Engn, Khulna 9203, Bangladesh.
   [Islam, Abu Reza Md Towfiqul] Begum Rokeya Univ, Dept Disaster Management, Rangpur 5400, Bangladesh.
   [Alam, G. M. Monirul] Bangabandhu Sheikh Mujibur Rahman Agr Univ, Dept Agribusiness, Dhaka, Bangladesh.
C3 Khulna University of Engineering & Technology (KUET); Khulna University
   of Engineering & Technology (KUET); Bangabandhu Sheikh Mujibur Rahman
   Agricultural University (BSMRAU)
RP Islam, AMT (corresponding author), Begum Rokeya Univ, Dept Disaster Management, Rangpur 5400, Bangladesh.
EM towfiq_dm@brur.ac.bd
RI Islam, Abu Reza Md. Towfiqul/O-8554-2019; Towfiqul Islam, Abu Reza
   Md./N-4022-2014; Alam, G M Monirul/K-9881-2017
OI Towfiqul Islam, Abu Reza Md./0000-0001-5779-1382; Bari,
   Quazi/0000-0003-1078-4147; Alam, G M Monirul/0000-0002-1301-356X
CR Abedin MA, 2014, INT J DISAST RISK SC, V5, P110, DOI 10.1007/s13753-014-0021-6
   Afroz S, 2018, ASIAN J SOC SCI, V46, P601, DOI 10.1163/15685314-04606002
   Ahsan MN, 2014, INT J DISAST RISK RE, V8, P32, DOI 10.1016/j.ijdrr.2013.12.009
   Al Mamun A, 2023, NAT HAZARDS, V115, P1411, DOI 10.1007/s11069-022-05599-y
   Alam G.M. M., 2016, An Assessment of the Livelihood Vulnerability of the Riverbank Erosion Hazard and its Impact on Food Security for Rural Households in Bangladesh
   Alam GMM, 2018, ENVIRON SCI POLICY, V84, P7, DOI 10.1016/j.envsci.2018.02.012
   Alam GMM, 2017, ENVIRON MANAGE, V59, P777, DOI 10.1007/s00267-017-0826-3
   Alam GMM, 2017, ECOL INDIC, V72, P23, DOI [10.1016/j.ecolind.7.016.06.045, 10.1016/j.ecolind.2016.06.045]
   [Anonymous], 2013, Disaster Risk Reduction Approaches in Bangladesh. Disaster Risk Reduction, DOI 10.1007/978-4-431-54252-0_10
   Ayanlade A, 2018, SCI TOTAL ENVIRON, V630, P728, DOI 10.1016/j.scitotenv.2018.02.196
   Bangladesh Bureau of Statistics (BBS), 2011, STAT POCK
   Bangladesh Bureau of Statistics (BBS), 2017, BANGL STAT STAT INF
   Benneyworth L, 2016, INT J ENVIRON HEAL R, V26, P508, DOI 10.1080/09603123.2016.1194383
   Boko M, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P433
   Chamber R., 1992, SUSTAINABLE RURAL LI
   Choudhury AM., 2005, SCI CULT-UK, V71, p7
   Christensen JH, 2007, CLIMATIC CHANGE, V81, P1, DOI 10.1007/s10584-006-9211-6
   Cutter SL, 2000, ANN ASSOC AM GEOGR, V90, P713, DOI 10.1111/0004-5608.00219
   CZPo, 2005, COAST ZON POL MIN WA
   Das M, 2010, IRRIG DRAIN, V59, P621, DOI 10.1002/ird.519
   Dulal HB, 2010, LOCAL ENVIRON, V15, P621, DOI 10.1080/13549839.2010.498814
   Eckstein D., 2021, Global Climate Risk Index 2021: Who Suffers Most from Extreme Weather Events? Weather-Related Loss Events in 2019 and 20002019
   Erdiaw-Kwasie MO, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101098
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Ford JD, 2004, ARCTIC, V57, P389, DOI 10.14430/arctic516
   Habiba U, 2013, COMM ENV DISAST RISK, V13, P139, DOI 10.1108/S2040-7262(2013)0000013013
   Hahn MB, 2009, GLOBAL ENVIRON CHANG, V19, P74, DOI 10.1016/j.gloenvcha.2008.11.002
   Hoque MR., 2009, ACCESS SAFE DRINKING
   Hossain MN, 2015, INT J DISAST RISK RE, V13, P66, DOI 10.1016/j.ijdrr.2015.04.003
   IFRC, 2020, BANGL CYCL AMPH OP U
   IFRC, 2021, BANGL CYCL YAAS OP U
   IPCC, 2001, CLIMATE CHANGE 2001, P1055
   Islam F., 2021, CLIMATE VULNERABILIT, P103, DOI [10.1007/978-3-030-77259-8_9, DOI 10.1007/978-3-030-77259-8_9]
   Islam MA, 2013, J WATER HEALTH, V11, P532, DOI 10.2166/wh.2013.215
   Karim MF, 2008, GLOBAL ENVIRON CHANG, V18, P490, DOI 10.1016/j.gloenvcha.2008.05.002
   Kasperson RogerE., 2001, CLIMATE CHANGE VULNE
   Keshavarz M, 2017, INT J DISAST RISK RE, V21, P223, DOI 10.1016/j.ijdrr.2016.12.012
   Khan MA, 2022, PROG DISASTER SCI, V15, DOI 10.1016/j.pdisas.2022.100243
   Kothari C.R., 2008, Research Methodology, Methods and Techniques, V2nd, P109
   Lam M, 2018, TWIN RES HUM GENET, V21, P394, DOI 10.1017/thg.2018.46
   Lam Y, 2022, FOOD SECUR, V14, P229, DOI 10.1007/s12571-021-01177-5
   Madhuri, 2014, JAMBA-J DISASTER RIS, V6, DOI 10.4102/jamba.v6i1.127
   Mallick J, 2022, NAT HAZARDS, V112, P1633, DOI 10.1007/s11069-022-05242-w
   Mamun AA, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14042348
   Mehzabin S, 2021, CLIMATE, V9, DOI 10.3390/cli9070107
   Mudasser M, 2020, WORLD-BASEL, V1, P149, DOI 10.3390/world1020012
   Network S, 2018, BANGL TROP STORM CYC
   Huong NTL, 2019, HUM ECOL RISK ASSESS, V25, P1157, DOI 10.1080/10807039.2018.1460801
   Pandey R, 2012, MITIG ADAPT STRAT GL, V17, P487, DOI 10.1007/s11027-011-9338-2
   Pandey R, 2015, APPL GEOGR, V64, P74, DOI 10.1016/j.apgeog.2015.09.008
   Panthi J, 2016, REG ENVIRON CHANGE, V16, P1121, DOI 10.1007/s10113-015-0833-y
   Parvin GA, 2017, DISAST RISK REDUCT, P381, DOI 10.1007/978-4-431-56442-3_20
   Rahman M A, 2018, Journal of Environmental Science and Natural Resources, V11, P17, DOI 10.3329/jesnr.v11i1-2.43361
   Salehin M., 2018, Ecosystem Services for Well-Being in Deltas, P333
   Salik KM, 2015, OCEAN COAST MANAGE, V112, P61, DOI 10.1016/j.ocecoaman.2015.05.006
   Sarker MNI, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11061623
   Sattar MA, 2019, INT J DISAST RISK RE, V41, DOI 10.1016/j.ijdrr.2019.101283
   Shah KU, 2013, GEOFORUM, V47, P125, DOI 10.1016/j.geoforum.2013.04.004
   Shamsuddoha M., 2013, LOCAL PERSPECTIVE LO, P26
   Singha P, 2022, GEOJOURNAL, V87, P3701, DOI 10.1007/s10708-021-10461-y
   Sullivan C., 2002, DERIVATION TESTING W
   Swapan S. S. A., 2006, SEARCH SAFE DRINKING
   Tasnuva A, 2021, ENVIRON DEV SUSTAIN, V23, P10223, DOI 10.1007/s10668-020-01054-9
   Thomas DSG, 2005, GLOBAL ENVIRON CHANG, V15, P115, DOI 10.1016/j.gloenvcha.2004.10.001
   Tjoe Y, 2016, WORLD J SCI TECHNOL, V13, P250, DOI 10.1108/WJSTSD-01-2016-0013
   Toufique KA, 2014, INT J DISAST RISK RE, V10, P236, DOI 10.1016/j.ijdrr.2014.08.008
   Tran VT, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13137106
   Vincent K, 2007, GLOBAL ENVIRON CHANG, V17, P12, DOI 10.1016/j.gloenvcha.2006.11.009
   WARPO, 2005, WATER RESOURCES PLAN
   Wistrand A., 2003, SHRIMP FARMING BANGL
   Zhang SH, 2019, SCI TOTAL ENVIRON, V665, P262, DOI 10.1016/j.scitotenv.2019.02.135
NR 71
TC 11
Z9 12
U1 3
U2 15
PU TAYLOR & FRANCIS INC
PI PHILADELPHIA
PA 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA
SN 1350-4509
EI 1745-2627
J9 INT J SUST DEV WORLD
JI Int. J. Sustain. Dev. World Ecol.
PD APR 3
PY 2023
VL 30
IS 3
BP 295
EP 318
DI 10.1080/13504509.2022.2142691
EA NOV 2022
PG 24
WC Green & Sustainable Science & Technology; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA A3PX0
UT WOS:000881422000001
DA 2025-01-10
ER

PT J
AU Rijkers, R
   Rousk, J
   Aerts, R
   Sigurdsson, BD
   Weedon, JT
AF Rijkers, Ruud
   Rousk, Johannes
   Aerts, Rien
   Sigurdsson, Bjarni D.
   Weedon, James T.
TI Optimal growth temperature of Arctic soil bacterial communities
   increases under experimental warming
SO GLOBAL CHANGE BIOLOGY
LA English
DT Article
DE Arctic; climate change adaptation; microbial communities; soil warming
ID MICROBIAL RESPIRATION; ADAPTATION; SENSITIVITY; THYMIDINE; PATTERNS
AB Future climate warming in the Arctic will likely increase the vulnerability of soil carbon stocks to microbial decomposition. However, it remains uncertain to what extent decomposition rates will change in a warmer Arctic, because extended soil warming could induce temperature adaptation of bacterial communities. Here we show that experimental warming induces shifts in the temperature-growth relationships of bacterial communities, which is driven by community turnover and is common across a diverse set of 8 (sub) Arctic soils. The optimal growth temperature (T-opt) of the soil bacterial communities increased 0.27 +/- 0.039 (SE) and 0.07 +/- 0.028 degrees C per degrees C of warming over a 0-30 degrees C gradient, depending on the sampling moment. We identify a potential role for substrate depletion and time-lag effects as drivers of temperature adaption in soil bacterial communities, which possibly explain discrepancies between earlier incubation and field studies. The changes in T-opt were accompanied by species-level shifts in bacterial community composition, which were mostly soil specific. Despite the clear physiological responses to warming, there was no evidence for a common set of temperature-responsive bacterial amplicon sequence variants. This implies that community composition data without accompanying physiological measurements may have limited utility for the identification of (potential) temperature adaption of soil bacterial communities in the Arctic. Since bacterial communities in Arctic soils are likely to adapt to increasing soil temperature under future climate change, this adaptation to higher temperature should be implemented in soil organic carbon modeling for accurate predictions of the dynamics of Arctic soil carbon stocks.
C1 [Rijkers, Ruud; Aerts, Rien; Weedon, James T.] Vrije Univ Amsterdam, Amsterdam Inst Life & Environm, Sect Syst Ecol, Amsterdam, Netherlands.
   [Rousk, Johannes] Lund Univ, Dept Biol, Microbial Ecol, Lund, Sweden.
   [Sigurdsson, Bjarni D.] Agr Univ Iceland, Fac Environm & Forest Sci, Borgarnes, Iceland.
C3 Vrije Universiteit Amsterdam; Lund University
RP Rijkers, R (corresponding author), Vrije Univ Amsterdam, Amsterdam Inst Life & Environm, Sect Syst Ecol, Amsterdam, Netherlands.
EM r.rijkers@vu.nl
RI Weedon, James/AAA-9064-2019; Rijkers, Ruud/GZN-0478-2022; Weedon,
   James/C-5473-2008; Rousk, Johannes/E-9741-2010
OI Weedon, James/0000-0003-0491-8719; Aerts, Rien/0000-0001-6694-0669;
   Rousk, Johannes/0000-0002-4985-7262; Rijkers, Ruud/0000-0001-7263-8917
FU Knut Och Alice Wallenbergs Stiftelse [KAW 2017.0171]; National Science
   Foundation [1637459]; Nederlandse Organisatie voor Wetenschappelijk
   Onderzoek [866.16.042]; Icelandic Research Fund [163272--051]
FX Knut Och Alice Wallenbergs Stiftelse, Grant/Award Number: KAW 2017.0171;
   National Science Foundation, Grant/Award Number: 1637459; Nederlandse
   Organisatie voor Wetenschappelijk Onderzoek, Grant/Award Number:
   866.16.042; Icelandic Research Fund, Grant/Award Number: 163272--051
CR Allison SD, 2010, NAT GEOSCI, V3, P336, DOI 10.1038/NGEO846
   Anderson MJ, 2001, AUSTRAL ECOL, V26, P32, DOI 10.1046/j.1442-9993.2001.01070.x
   Bååth E, 2001, SOIL BIOL BIOCHEM, V33, P1571, DOI 10.1016/S0038-0717(01)00073-6
   Bååth E, 2018, GLOBAL CHANGE BIOL, V24, P2850, DOI 10.1111/gcb.14285
   Balser TC, 2009, GLOBAL CHANGE BIOL, V15, P2935, DOI 10.1111/j.1365-2486.2009.01946.x
   Bárcenas-Moreno G, 2009, GLOBAL CHANGE BIOL, V15, P2950, DOI 10.1111/j.1365-2486.2009.01882.x
   Barton K., 2015, MuMIn: Multi-model inference
   Birgander J, 2018, GLOBAL CHANGE BIOL, V24, P3357, DOI 10.1111/gcb.14060
   Birgander J, 2013, SOIL BIOL BIOCHEM, V65, P294, DOI 10.1016/j.soilbio.2013.06.006
   Bokulich NA, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0470-z
   Bolyen E, 2019, NAT BIOTECHNOL, V37, P852, DOI 10.1038/s41587-019-0209-9
   Bradford MA, 2008, ECOL LETT, V11, P1316, DOI 10.1111/j.1461-0248.2008.01251.x
   Bradford MA, 2019, NAT ECOL EVOL, V3, P223, DOI 10.1038/s41559-018-0771-4
   Bradford MA, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00333
   Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
   Caporaso JG, 2011, P NATL ACAD SCI USA, V108, P4516, DOI 10.1073/pnas.1000080107
   Chase AB, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2101254118
   Corkrey R, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0153343
   Cruz-Paredes C, 2021, SOIL BIOL BIOCHEM, V156, DOI 10.1016/j.soilbio.2021.108223
   Dacal M, 2020, GLOBAL CHANGE BIOL, V26, P5254, DOI 10.1111/gcb.15209
   Dacal M, 2019, NAT ECOL EVOL, V3, P232, DOI 10.1038/s41559-018-0770-5
   Davidson EA, 2006, NATURE, V440, P165, DOI 10.1038/nature04514
   Donhauser J, 2020, SOIL BIOL BIOCHEM, V148, DOI 10.1016/j.soilbio.2020.107873
   Dorrepaal E, 2004, GLOBAL CHANGE BIOL, V10, P93, DOI 10.1111/j.1365-2486.2003.00718.x
   García-Palacios P, 2021, NAT REV EARTH ENV, V2, P507, DOI 10.1038/s43017-021-00178-4
   Gough L, 2000, J ECOL, V88, P54, DOI 10.1046/j.1365-2745.2000.00426.x
   Hartley IP, 2008, ECOL LETT, V11, P1092, DOI 10.1111/j.1461-0248.2008.01223.x
   Hicks LC, 2022, ECOLOGY, V103, DOI 10.1002/ecy.3594
   Karhu K, 2014, NATURE, V513, P81, DOI 10.1038/nature13604
   Katoh Kazutaka, 2013, Mol Biol Evol, V30, P772, DOI 10.1093/molbev/mst010
   Kirschbaum MUF, 2004, GLOBAL CHANGE BIOL, V10, P1870, DOI 10.1111/j.1365-2486.2004.00852.x
   Koponen HT, 2016, SOIL BIOL BIOCHEM, V100, P229, DOI 10.1016/j.soilbio.2016.06.029
   Leibold MA, 2004, ECOL LETT, V7, P601, DOI 10.1111/j.1461-0248.2004.00608.x
   Lembrechts JJ, 2022, GLOBAL CHANGE BIOL, V28, P3110, DOI 10.1111/gcb.16060
   LI WKW, 1987, APPL ENVIRON MICROB, V53, P2282, DOI 10.1128/AEM.53.10.2282-2295.1987
   Lin H, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-17041-7
   Lozupone C, 2005, APPL ENVIRON MICROB, V71, P8228, DOI 10.1128/AEM.71.12.8228-8235.2005
   Malard LA, 2019, FEMS MICROBIOL ECOL, V95, DOI 10.1093/femsec/fiz128
   Manzoni S, 2012, NEW PHYTOL, V196, P79, DOI 10.1111/j.1469-8137.2012.04225.x
   Martiny JBH, 2015, SCIENCE, V350, DOI 10.1126/science.aac9323
   Muggeo VMR, 2003, STAT MED, V22, P3055, DOI 10.1002/sim.1545
   Nottingham AT, 2021, SOIL BIOL BIOCHEM, V158, DOI 10.1016/j.soilbio.2021.108217
   Nottingham AT, 2019, ECOL LETT, V22, P1889, DOI 10.1111/ele.13379
   Nottingham AT, 2019, GLOBAL CHANGE BIOL, V25, P827, DOI 10.1111/gcb.14502
   Oliverio AM, 2017, GLOBAL CHANGE BIOL, V23, P2117, DOI 10.1111/gcb.13557
   Pietikäinen J, 2005, FEMS MICROBIOL ECOL, V52, P49, DOI 10.1016/j.femsec.2004.10.002
   Ping CL, 1998, J GEOPHYS RES-ATMOS, V103, P28917, DOI 10.1029/98JD02024
   Pold G, 2020, MBIO, V11, DOI 10.1128/mBio.02293-19
   Price MN, 2009, MOL BIOL EVOL, V26, P1641, DOI 10.1093/molbev/msp077
   R Core Team, 2020, R: A Language and Environment for Statistical Computing
   Ranneklev SB, 2001, APPL ENVIRON MICROB, V67, P1116, DOI 10.1128/AEM.67.3.1116-1122.2001
   Rath KM, 2019, ISME J, V13, P836, DOI 10.1038/s41396-018-0313-8
   RATKOWSKY DA, 1983, J BACTERIOL, V154, P1222, DOI 10.1128/JB.154.3.1222-1226.1983
   Rinnan R, 2011, APPL SOIL ECOL, V47, P217, DOI 10.1016/j.apsoil.2010.12.011
   Rinnan R, 2009, GLOBAL CHANGE BIOL, V15, P2615, DOI 10.1111/j.1365-2486.2009.01959.x
   Rousk J, 2012, GLOBAL CHANGE BIOL, V18, P3252, DOI 10.1111/j.1365-2486.2012.02764.x
   Shaver G.R., 2013, ETICA POLITICA, V15, P583, DOI [10.1093/acprof, DOI 10.1093/ACPROF]
   Sigurdsson BD, 2016, ICELAND AGR SCI, V29, P53, DOI 10.16886/IAS.2016.05
   Street LE, 2007, J ECOL, V95, P139, DOI 10.1111/j.1365-2745.2006.01187.x
   Tarnocai C, 2009, GLOBAL BIOGEOCHEM CY, V23, DOI 10.1029/2008GB003327
   van Gestel NC, 2020, GLOBAL CHANGE BIOL, V26, P2280, DOI 10.1111/gcb.15020
   van Gestel NC, 2013, SOIL BIOL BIOCHEM, V65, P180, DOI 10.1016/j.soilbio.2013.05.016
   Walker TWN, 2018, NAT CLIM CHANGE, V8, P885, DOI 10.1038/s41558-018-0259-x
   Wang C, 2021, ISME J, V15, P2738, DOI 10.1038/s41396-021-00959-1
   Weedon J.T., 2022, BIORXIV, DOI 10.1101/486966
   Weedon JT, 2014, BIOGEOCHEMISTRY, V117, P55, DOI 10.1007/s10533-013-9870-0
   Whittington, 2019, WHATS HOLDUP TEMPERA
   Wieder WR, 2019, GEOPHYS RES LETT, V46, P14486, DOI 10.1029/2019GL085543
   Wieder WR, 2013, NAT CLIM CHANGE, V3, P909, DOI [10.1038/nclimate1951, 10.1038/NCLIMATE1951]
   Yilmaz P, 2014, NUCLEIC ACIDS RES, V42, pD643, DOI 10.1093/nar/gkt1209
NR 70
TC 16
Z9 17
U1 13
U2 74
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1354-1013
EI 1365-2486
J9 GLOBAL CHANGE BIOL
JI Glob. Change Biol.
PD OCT
PY 2022
VL 28
IS 20
BP 6050
EP 6064
DI 10.1111/gcb.16342
EA JUL 2022
PG 15
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA 4M7RE
UT WOS:000830356100001
PM 35838347
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Bafitlhile, TM
   Liu, YB
AF Bafitlhile, Thabo Michael
   Liu, Yuanbo
TI Temperature contributes more than precipitation to the greening of the
   Tibetan Plateau during 1982-2019
SO THEORETICAL AND APPLIED CLIMATOLOGY
LA English
DT Article
ID MOUNTAIN REGIONS; NDVI; CLIMATE; VEGETATION; MOISTURE; CHINA;
   METAANALYSIS; RESPONSES; SUMMER; TREND
AB The Tibetan Plateau (TP) is an ecologically fragile region that is sensitive to climate change. It has a strong influence on the East Asian atmospheric circulation. The vegetation of the TP has experienced changes in its range and abundance, mainly due to global warming. This study provides an in-depth and updated analysis of vegetation change and examines the influence of climate change on the change in vegetation cover (1982-2019). This study used trends, drought index, cross-correlation, coherence, and feature selection methods to examine the relationship between vegetation change and climatic variables (precipitation, temperature, and soil moisture). General greening was a major trend (55.59% and 64.33%) during 1982-2002 and 2003-2019, respectively. Browning accounted for a minor trend (2.86% and 2.73%) during 1982-2002 and 2003-2019. Temperature accounted for 45% and 38% of vegetation greening in 1982-2002 and 2003-2019, respectively, which was twice the greening caused by precipitation for each period. A combined analysis of normalized difference vegetation index (NDVI) and climatic factors using wavelet coherence confirmed that the climatic variables contributed significantly (p < 0.01) to vegetation growth. Vegetation growth strongly responded to temperature with a lag time of 1-5 weeks throughout 1982-2019. Automatic feature engineering (AFE) also revealed that temperature is the most relevant variable for predicting vegetation change. Overall, our analysis suggests that temperature is a critical factor in controlling vegetation growth. The results have substantial implications for identifying ecosystem management measures for climate change adaptation across the TP.
C1 [Bafitlhile, Thabo Michael; Liu, Yuanbo] Chinese Acad Sci, Key Lab Watershed Geog Sci, Nanjing Inst Geog & Limnol, Nanjing 210008, Peoples R China.
   [Bafitlhile, Thabo Michael] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
C3 Chinese Academy of Sciences; Nanjing Institute of Geography & Limnology,
   CAS; Chinese Academy of Sciences; University of Chinese Academy of
   Sciences, CAS
RP Liu, YB (corresponding author), Chinese Acad Sci, Key Lab Watershed Geog Sci, Nanjing Inst Geog & Limnol, Nanjing 210008, Peoples R China.
EM thabo_bafitlhile@yahoo.com; ybliu@niglas.ac.cn
FU Second Tibetan Plateau Scientific Expedition and Research Program
   [2019QZKK0202]; Chinese Academy of Sciences and the World Academy of
   Sciences (CAS-TWAS)
FX This work was supported by the Second Tibetan Plateau Scientific
   Expedition and Research Program (2019QZKK0202) and the Chinese Academy
   of Sciences and the World Academy of Sciences (CAS-TWAS) President's
   PhD. Fellowship Program.
CR Abatzoglou JT, 2018, SCI DATA, V5, DOI 10.1038/sdata.2017.191
   [Anonymous], 2015, ENVIRON RES LETT, DOI DOI 10.1088/1748-9326/10/3/034013
   Barriopedro D, 2011, SCIENCE, V332, P220, DOI 10.1126/science.1201224
   Beguería S, 2014, INT J CLIMATOL, V34, P3001, DOI 10.1002/joc.3887
   Campbell DR, 2019, P NATL ACAD SCI USA, V116, P12901, DOI 10.1073/pnas.1820096116
   Chen YF, 2019, AOB PLANTS, V11, DOI 10.1093/aobpla/plz004
   Chuai XW, 2013, INT J CLIMATOL, V33, P1696, DOI 10.1002/joc.3543
   Didan K., 2015, MOD13A2 MODIS/Terra Vegetation Indices 16Day L3 Global 1 km SIN Grid V006, DOI [DOI 10.5067/MODIS/MOD13A2.006, DOI 10.5067/MODIS/MOD13Q1.006, 10.5067/MODIS/MOD13A2.006]
   Ding J, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-30320-0
   Ding MJ, 2007, J GEOGR SCI, V17, P259, DOI 10.1007/s11442-007-0259-7
   Ding MJ, 2013, CHINESE SCI BULL, V58, P396, DOI 10.1007/s11434-012-5407-5
   Fan KK, 2019, SCI TOTAL ENVIRON, V649, P1338, DOI 10.1016/j.scitotenv.2018.08.399
   Funk C, 2015, SCI DATA, V2, DOI 10.1038/sdata.2015.66
   Gao QZ, 2010, QUATERN INT, V226, P143, DOI 10.1016/j.quaint.2009.10.035
   Gao YH, 2014, J CLIMATE, V27, P1876, DOI 10.1175/JCLI-D-13-00321.1
   Ge G, 2017, ATMOSPHERE-BASEL, V8, DOI 10.3390/atmos8070127
   Gu FX, 2017, ECOL EVOL, V7, P6736, DOI 10.1002/ece3.3029
   Hao FH, 2012, ENVIRON MODEL ASSESS, V17, P389, DOI 10.1007/s10666-011-9297-8
   HARGREAVES GH, 1994, J IRRIG DRAIN ENG, V120, P1132, DOI 10.1061/(ASCE)0733-9437(1994)120:6(1132)
   HIRSCH RM, 1984, WATER RESOUR RES, V20, P727, DOI 10.1029/WR020i006p00727
   HUDGINS L, 1993, PHYS REV LETT, V71, P3279, DOI 10.1103/PhysRevLett.71.3279
   Ichii K, 2002, INT J REMOTE SENS, V23, P3873, DOI 10.1080/01431160110119416
   Kawabata A, 2001, INT J REMOTE SENS, V22, P1377, DOI 10.1080/01431160119381
   Kumar P, 1997, REV GEOPHYS, V35, P385, DOI 10.1029/97RG00427
   Li LH, 2019, SCI TOTAL ENVIRON, V678, P21, DOI 10.1016/j.scitotenv.2019.04.399
   Li SB, 2020, MATH PROBL ENG, V2020, DOI 10.1155/2020/8231237
   Liu XD, 2000, INT J CLIMATOL, V20, P1729, DOI 10.1002/1097-0088(20001130)20:14<1729::AID-JOC556>3.0.CO;2-Y
   Liu Y, 2015, REMOTE SENS-BASEL, V7, P13233, DOI 10.3390/rs71013233
   Liu ZC, 2017, ATMOSPHERE-BASEL, V8, DOI 10.3390/atmos8110214
   Pan NQ, 2018, REMOTE SENS ENVIRON, V214, P59, DOI 10.1016/j.rse.2018.05.018
   Pang GJ, 2017, QUATERN INT, V444, P87, DOI 10.1016/j.quaint.2016.08.038
   Peng JF, 2010, CLIM RES, V41, P31, DOI 10.3354/cr00834
   Pepin N, 2015, NAT CLIM CHANGE, V5, P424, DOI [10.1038/nclimate2563, 10.1038/NCLIMATE2563]
   Peterson D.W., 2014, US FOREST SERV GEN T, DOI 10.2737/pnw-gtr-900
   Qi Y, 2001, PLANT SOIL, V237, P15, DOI 10.1023/A:1013368800287
   Rebetez M, 2006, ANN FOREST SCI, V63, P569, DOI 10.1051/forest:2006043
   Rustad LE, 2001, OECOLOGIA, V126, P543, DOI 10.1007/s004420000544
   Shen ZX, 2014, REMOTE SENS-BASEL, V6, P6765, DOI 10.3390/rs6086765
   Shumway R.H., 2017, TIME SERIES ANAL ITS, P1, DOI [DOI 10.1007/978-3-319-52452-81, 10.1007/978-3-319-52452-8_1]
   Sun J, 2016, ENVIRON EARTH SCI, V75, DOI 10.1007/s12665-015-5177-x
   Sun Rui, 2002, Journal of Geographical Sciences, V12, P29
   Torrence C, 1998, B AM METEOROL SOC, V79, P61, DOI 10.1175/1520-0477(1998)079<0061:APGTWA>2.0.CO;2
   Verhoef W., 1996, Fourier Analysis of Temporal NDVI in the Southern African and American Continents, V108, P19
   Wang GY, 2018, AM J BOT, V105, P967, DOI 10.1002/ajb2.1104
   Wang S., 2021, NAT HAZARDS EARTH SY, P1
   Wang W, 2015, NAT HAZARDS, V75, P2437, DOI 10.1007/s11069-014-1436-5
   Wang X, 2014, SCI WORLD J, DOI 10.1155/2014/514736
   Wang XJ, 2018, INT J CLIMATOL, V38, P1116, DOI 10.1002/joc.5246
   Wang XJ, 2014, INT J CLIMATOL, V34, P1524, DOI 10.1002/joc.3781
   Wang Y, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12172751
   Wu ZT, 2011, GLOBAL CHANGE BIOL, V17, P927, DOI 10.1111/j.1365-2486.2010.02302.x
   Xu WX, 2011, INT J APPL EARTH OBS, V13, P528, DOI 10.1016/j.jag.2011.02.001
   Xu YM, 2017, REG ENVIRON CHANGE, V17, P2339, DOI 10.1007/s10113-017-1163-z
   Xu ZX, 2008, HYDROL PROCESS, V22, P3056, DOI 10.1002/hyp.6892
   Yang K., 2019, CHINA METEOROLOGICAL, DOI [10.11888/AtmosphericPhysics.tpe.249369.file.CSTR:18406.11.AtmosphericPhysics.tpe.249369.file, DOI 10.11888/ATMOSPHERICPHYSICS.TPE.249369.FILE.CSTR:18406.11.ATMOSPHERICPHYSICS.TPE.249369.FILE]
   Yang K, 2014, GLOBAL PLANET CHANGE, V112, P79, DOI 10.1016/j.gloplacha.2013.12.001
   Yang K, 2011, CLIMATIC CHANGE, V109, P517, DOI 10.1007/s10584-011-0099-4
   Yang Yuan-He, 2006, Zhiwu Shengtai Xuebao, V30, P1
   Yang YJ, 2019, FORESTS, V10, DOI 10.3390/f10050372
   Yin ZY, 2000, INT J CLIMATOL, V20, P1431, DOI 10.1002/1097-0088(200010)20:12<1431::AID-JOC551>3.0.CO;2-J
   You QL, 2016, INT J CLIMATOL, V36, P2660, DOI 10.1002/joc.4520
   You QL, 2010, GLOBAL PLANET CHANGE, V71, P124, DOI 10.1016/j.gloplacha.2010.01.020
   Yuan XL, 2015, REMOTE SENS-BASEL, V7, P10164, DOI 10.3390/rs70810164
   Zhang BP, 2002, AMBIO, V31, P493, DOI 10.1579/0044-7447-31.6.493
   Zhang WX, 2017, J GEOPHYS RES-ATMOS, V122, P5808, DOI 10.1002/2017JD026468
   Zhang YX, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16234709
   Zhong L, 2019, J GEOPHYS RES-ATMOS, V124, P7540, DOI 10.1029/2019JD030481
   Zhong L, 2010, CLIMATIC CHANGE, V103, P519, DOI 10.1007/s10584-009-9787-8
   Zhou J, 2015, REMOTE SENS ENVIRON, V163, P217, DOI 10.1016/j.rse.2015.03.018
   Zhu WQ, 2012, GLOBAL ECOL BIOGEOGR, V21, P260, DOI 10.1111/j.1466-8238.2011.00675.x
   Zhu ZC, 2016, NAT CLIM CHANGE, V6, P791, DOI [10.1038/NCLIMATE3004, 10.1038/nclimate3004]
NR 71
TC 10
Z9 10
U1 4
U2 54
PU SPRINGER WIEN
PI Vienna
PA Prinz-Eugen-Strasse 8-10, A-1040 Vienna, AUSTRIA
SN 0177-798X
EI 1434-4483
J9 THEOR APPL CLIMATOL
JI Theor. Appl. Climatol.
PD FEB
PY 2022
VL 147
IS 3-4
BP 1471
EP 1488
DI 10.1007/s00704-021-03882-9
EA JAN 2022
PG 18
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA ZB2ZY
UT WOS:000739781800001
DA 2025-01-10
ER

PT J
AU Tui, SHK
   Descheemaeker, K
   Valdivia, RO
   Masikati, P
   Sisito, G
   Moyo, EN
   Crespo, O
   Ruane, AC
   Rosenzweig, C
AF Tui, Sabine Homann-Kee
   Descheemaeker, Katrien
   Valdivia, Roberto O.
   Masikati, Patricia
   Sisito, Gevious
   Moyo, Elisha N.
   Crespo, Olivier
   Ruane, Alex C.
   Rosenzweig, Cynthia
TI Climate change impacts and adaptation for dryland farming systems in
   Zimbabwe: a stakeholder-driven integrated multi-model assessment
SO CLIMATIC CHANGE
LA English
DT Article
DE Climate change adaptation; Crop-livestock systems; Vulnerability;
   Poverty; Zimbabwe; Pathways and scenarios; Models
ID CROP-LIVESTOCK SYSTEMS; AGRICULTURE; PRODUCTIVITY; BIOMASS; AFRICA
AB Decision makers need accurate information to address climate variability and change and accelerate transformation to sustainability. A stakeholder-driven, science-based multimodel approach has been developed and used by the Agricultural Model Intercomparison and Improvement Project (AgMIP) to generate actionable information for adaptation planning processes. For a range of mid-century climate projections-likely to be hotter, drier, and more variable-contrasting future socio-economic scenarios (Representative Agricultural Pathways, RAPs) were co-developed with stakeholders to portray a sustainable development scenario and a rapid economic growth pathway. The unique characteristic of this application is the integration of a multi- modeling approach with stakeholder engagement to co-develop scenarios and adaptation strategies. Distribution of outcomes were simulated with climate, crop, livestock, and economic impact assessment models for smallholder crop livestock farmers in a typical dryland agro-ecological zone in Zimbabwe, characterized by low and erratic rainfall and nutrient depleted soils. Results showed that in Nkayi District, Western Zimbabwe, climate change would threaten most of the farms, and, in particular, those with large cattle herds due to feed shortages. Adaptation strategies that showed the most promise included diversification using legume production, soil fertility improvement, and investment in conducive market environments. The switch to more legumes in the farming systems reduced the vulnerability of the very poor as well as the more resourced farmers. Overall, the sustainable development scenario consistently addressed institutional failures and motivated productivity-enhancing, environmentally sound technologies and inclusive development approaches. This yielded more favorable outcomes than investment in quick economic wins from commercializing agriculture.
RI descheemaeker, katrien/P-6605-2014; Ruane, Alex/ABD-5612-2021; Valdivia,
   Roberto/R-1755-2017; crespo, olivier/L-6398-2013
OI Valdivia, Roberto/0000-0002-0002-848X; crespo,
   olivier/0000-0001-7320-9428; Sisito, Givious/0000-0001-6868-6916; MOYO,
   Elisha N/0000-0002-3833-8272; Homann-Kee Tui, Sabine/0000-0001-8570-336X
FU UK Government's Department for International Development and Foreign,
   Commonwealth and Development Office; International Development Research
   Centre, Ottawa, Canada; CGIAR Fund Donors
FX Research process and data analyses were under AgMIP Regional Integrated
   Assessments, www.agmip.org, with financial support from the UK
   Government's Department for International Development and Foreign,
   Commonwealth and Development Office; and the International Development
   Research Centre, Ottawa, Canada. The work was implemented as part of the
   CGIAR Research Program on Climate Change, Agriculture and Food Security
   (CCAFS), which is carried out with support from CGIAR Fund Donors and
   through bilateral funding agreements. For details please visit
   https://ccafs.cgiar.org/donors.The views expressed in this document
   cannot be taken to reflect the official opinions of these organizations.
CR [Anonymous], 2006, CLIM DYNAM, DOI DOI 10.1007/s00382-006-0115-y
   Anseeuw W., 2012, DEV PLANNING DIVISIO, V32
   Antle J.M., 2017, CLIMATE SMART AGR BU, V52, P307, DOI [10.1007/978-3-319-61194-5_14, DOI 10.1007/978-3-319-61194-5_14]
   Antle JM, 2020, TOA MD TRADE OFF ANA
   Bluemmel Michael, 2013, Secheresse (Montrouge), V24, P330, DOI 10.1684/sec.2013.0403
   Campbell BM, 2017, ECOL SOC, V22, DOI 10.5751/ES-09595-220408
   Christiaensen JH, 2007, CLIMATE CHANGE 2007
   Descheemaeker K, 2018, AGR SYST, V159, P282, DOI 10.1016/j.agsy.2017.05.004
   Descheemaeker K, 2016, REG ENVIRON CHANGE, V16, P2331, DOI 10.1007/s10113-016-0957-8
   Falconnier GN, 2017, EUR J AGRON, V89, P61, DOI 10.1016/j.eja.2017.06.008
   FAO & Red Cross Red Crescent Climate Centre, 2019, MANAGING CLIMATE RIS
   Garrett RD, 2017, AGR SYST, V155, P136, DOI 10.1016/j.agsy.2017.05.003
   Giller KE, 2011, AGR SYST, V104, P191, DOI 10.1016/j.agsy.2010.07.002
   Giller KE, 2009, FIELD CROP RES, V114, P23, DOI 10.1016/j.fcr.2009.06.017
   Harris D, 2014, AGR SYST, V123, P84, DOI 10.1016/j.agsy.2013.09.005
   Hazell P, 2008, PHILOS T R SOC B, V363, P495, DOI 10.1098/rstb.2007.2166
   Herrero M, 2010, SCIENCE, V327, P822, DOI 10.1126/science.1183725
   Holman IP, 2019, REG ENVIRON CHANGE, V19, P711, DOI 10.1007/s10113-018-1328-4
   Holzworth DP, 2014, ENVIRON MODELL SOFTW, V62, P327, DOI 10.1016/j.envsoft.2014.07.009
   Homann-Kee Tui S, 2017, 4 GLOB SCI C CLIM SM
   Homann-Kee Tui S, 2021, HDB CLIMATE CHANGE A, V5, P217
   Hoogenboom G, 2020, BURL DODDS AGR SCI, V75, P173, DOI 10.19103/AS.2019.0061.10
   ICRISAT (International Crops Research Institute for the Semi-Arid Tropics), 2016, SCAL CLIM SMART AGR
   Ingam J, 2017, NATURE, V544, P17, DOI [10.1038/544S17a, DOI 10.1038/544S17A]
   Knaggård Å, 2019, ENVIRON SCI POLICY, V97, P25, DOI 10.1016/j.envsci.2019.03.008
   Lipper L, 2014, NAT CLIM CHANGE, V4, P1068, DOI [10.1038/NCLIMATE2437, 10.1038/nclimate2437]
   Masikati P, 2014, AGR SYST, V123, P62, DOI 10.1016/j.agsy.2013.09.003
   Masikati P., 2015, Handbook of Climate Change and Agroecosystems: The Agricultural Model Intercomparison and Improvement Project (AgMIP) Integrated Crop and Economic Assessments Part 1, P159
   Masikati P., 2019, The Climate-Smart Agriculture Papers, P49, DOI [10.1007/978-3-319-92798-5_5, DOI 10.1007/978-3-319-92798-5_5]
   Masikati P, 2021, INT J AGR SUSTAIN, V19, P497, DOI 10.1080/14735903.2021.1907108
   Ministry of Agriculture, 2019, AGR STAT
   Ministry of Agriculture, 2007, AGR STAT
   Moll HAJ, 2005, AGR ECON-BLACKWELL, V32, P181, DOI 10.1111/j.0169-5150.2005.00210.x
   Moyo EN, 2015, PROC IUTAM, V17, P69, DOI 10.1016/j.piutam.2015.06.011
   Mugandani R., 2012, African Crop Science Journal, V20, P361
   Nelson GC, 2014, P NATL ACAD SCI USA, V111, P3274, DOI 10.1073/pnas.1222465110
   Nilsson AE, 2017, GLOBAL ENVIRON CHANG, V45, P124, DOI 10.1016/j.gloenvcha.2017.06.001
   O'Neill BC, 2017, GLOBAL ENVIRON CHANG, V42, P169, DOI 10.1016/j.gloenvcha.2015.01.004
   Pastor AV, 2020, CATENA, V186, DOI 10.1016/j.catena.2019.104305
   Robinson S., 2015, The international model for policy analysis of agricultural commodities and trade (IMPACT): model description for version 3
   Rosenzweig C, 2021, HDB CLIMATE CHANGE A, V5, P2517
   Ruane A.C., 2017, EARTH PERSPECTIVES, V4, P1, DOI [DOI 10.1186/S40322-017-0036-4, 10.1186/s40322-017-0036-4]
   Ruane ACR, HDB CLIMATE CHANGE A, V3, P45
   Ruane AC, 2015, AGR FOREST METEOROL, V200, P233, DOI 10.1016/j.agrformet.2014.09.016
   Rufino MC, 2009, ANIMAL, V3, P1044, DOI 10.1017/S1751731109004248
   Shikuku KM, 2017, AGR SYST, V151, P204, DOI 10.1016/j.agsy.2016.06.004
   Smith A, 2016, AGR SYST, V145, P139, DOI 10.1016/j.agsy.2016.03.008
   Steiner JL, 2009, J SOIL WATER CONSERV, V64, p75A, DOI 10.2489/jswc.64.2.75A
   Sterk B, 2009, LAND USE POLICY, V26, P434, DOI 10.1016/j.landusepol.2008.05.003
   Thornton PK, 2009, AGR SYST, V101, P113, DOI 10.1016/j.agsy.2009.05.002
   Tittonell P, 2010, AGR SYST, V103, P83, DOI 10.1016/j.agsy.2009.10.001
   Tui SHK, 2015, AGR SYST, V134, P48, DOI 10.1016/j.agsy.2014.06.009
   Valdivia RO, 2021, HDB CLIMATE CHANGE A, V5, P47
   Whitbread AM, 2010, EUR J AGRON, V32, P51, DOI 10.1016/j.eja.2009.05.004
   ZimVAC, 2019, ZIMB VULN ASS COMM
NR 55
TC 27
Z9 27
U1 4
U2 18
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD SEP
PY 2021
VL 168
IS 1-2
AR 10
DI 10.1007/s10584-021-03151-8
PG 21
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA UU6ZY
UT WOS:000698946800002
OA Green Accepted, hybrid
DA 2025-01-10
ER

PT J
AU Zhong, R
   Wang, PF
   Mao, GQ
   Chen, AF
   Liu, JG
AF Zhong, Rui
   Wang, Pengfei
   Mao, Ganquan
   Chen, Aifang
   Liu, Junguo
TI Spatiotemporal variation of enhanced vegetation index in the Amazon
   Basin and its response to climate change
SO PHYSICS AND CHEMISTRY OF THE EARTH
LA English
DT Article
DE EVI; Spatiotemporal variation; Climatic factors; Amazon basin
ID RIVER-BASIN; LAND-COVER; PRECIPITATION; DYNAMICS; TEMPERATURE;
   DEFORESTATION; SENSITIVITY; DROUGHT; NDVI; VULNERABILITY
AB The Amazon Basin plays an important global ecological role. Understanding the temporal and spatial changes of vegetation in the Amazon Basin and the response of vegetation to climatic factors is essential for global climate change adaptation. However, the respective contributions of precipitation and temperature variability to vege-tation dynamics in the Amazon Basin remains unclear. In this study, we investigated the annual variation of the enhanced vegetation index (EVI) and the relationship between EVI and hydrothermal conditions in the Amazon Basin from 2000 to 2019. The results indicate that EVI and precipitation have slightly increased in the Amazon Basin over the past 20 years, whereas temperature has significantly increased. Spatially, the EVI shows an increasing trend in most areas and a decreasing trend in some local areas. The spatial heterogeneity of precip-itation is apparent, which is higher in the south and lower in the north. Across the basin, both precipitation and temperature have significant positive effects on the EVI. Seasonally, the positive impact of climatic factors on vegetation growth in the dry season was greater than that in the wet season. Furthermore, the results show that vegetation dynamics are impacted more by precipitation than temperature in regions that receive less than 2000 mm/yr of precipitation, while temperature is the dominant factor where the annual precipitation is over 2000 mm/yr. The research results provide scientific evidence of the effect of climate change on vegetation dynamics and can support local government policy making for the protection of vegetation in the Amazon Basin.
C1 [Zhong, Rui; Wang, Pengfei; Mao, Ganquan; Chen, Aifang; Liu, Junguo] Southern Univ Sci & Technol, Sch Environm Sci & Engn, 1088 Xueyuan Rd, Shenzhen 518055, Guangdong, Peoples R China.
C3 Southern University of Science & Technology
RP Liu, JG (corresponding author), Southern Univ Sci & Technol, Sch Environm Sci & Engn, 1088 Xueyuan Rd, Shenzhen 518055, Guangdong, Peoples R China.
EM junguo.liu@gmail.cm
RI Chen, Aifang/AAG-6613-2019; Liu, Junguo/B-3021-2012
OI Chen, Aifang/0000-0002-3237-3122; Liu, Junguo/0000-0002-5745-6311;
   Zhong, Rui/0000-0002-2844-2893
FU National Key R&D Program of China [2017YFA0603704]; National Natural
   Science Foun-dation of China [41625001]; High-level Special Funding of
   the Southern University of Science and Technology [G02296302, G02296402]
FX This study was supported by the National Key R&D Program of China (grant
   number 2017YFA0603704) , the National Natural Science Foun-dation of
   China (grant number 41625001) , and the High-level Special Funding of
   the Southern University of Science and Technology [Grant no. G02296302,
   G02296402] .
CR Adams HD, 2009, P NATL ACAD SCI USA, V106, P7063, DOI 10.1073/pnas.0901438106
   Ahlström A, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-00306-z
   Amigo I, 2020, NATURE, V578, P505, DOI 10.1038/d41586-020-00508-4
   Anderson LO, 2010, NEW PHYTOL, V187, P733, DOI 10.1111/j.1469-8137.2010.03355.x
   Andreae MO, 2004, SCIENCE, V303, P1337, DOI 10.1126/science.1092779
   Atkinson PM, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL049118
   Bader J, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18478-6
   Bai YX, 2020, SCI TOTAL ENVIRON, V716, DOI 10.1016/j.scitotenv.2019.135379
   Berman EE, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12162538
   Blackman CJ, 2010, NEW PHYTOL, V188, P1113, DOI 10.1111/j.1469-8137.2010.03439.x
   Brando PM, 2010, P NATL ACAD SCI USA, V107, P14685, DOI 10.1073/pnas.0908741107
   Brugger SO, 2016, QUATERNARY SCI REV, V132, P114, DOI 10.1016/j.quascirev.2015.11.001
   Bush MB, 2011, S-P B ENVIRON SCI, P61
   Caughlin TT, 2021, ECOL APPL, V31, DOI 10.1002/eap.2208
   Chen C., 2008, Acta Ecol. Sin., V28, P925, DOI DOI 10.1016/S1872-2032(08)60032-3
   Chou C, 2013, NAT GEOSCI, V6, P263, DOI [10.1038/NGEO1744, 10.1038/ngeo1744]
   Cook KH, 2008, J CLIMATE, V21, P542, DOI 10.1175/2007JCLI1838.1
   D'Amato G, 2017, WORLD ALLERGY ORGAN, V10, DOI 10.1186/s40413-017-0142-7
   Dagnachew M, 2020, ADV METEOROL, V2020, DOI 10.1155/2020/8263246
   De Kauwe MG, 2020, GLOBAL CHANGE BIOL, V26, P5716, DOI 10.1111/gcb.15215
   Serrao EAD, 2020, SCI TOTAL ENVIRON, V744, DOI 10.1016/j.scitotenv.2020.140981
   Donoghue MJ, 2008, P NATL ACAD SCI USA, V105, P11549, DOI 10.1073/pnas.0801962105
   Du ZQ, 2017, SCI REP-UK, V7, DOI 10.1038/srep40092
   Espinosa LAD, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0168982
   FAN SM, 1990, J GEOPHYS RES-ATMOS, V95, P16851, DOI 10.1029/JD095iD10p16851
   Fendrich AN, 2020, SCI TOTAL ENVIRON, V742, DOI 10.1016/j.scitotenv.2020.140477
   Fensholt R, 2012, REMOTE SENS ENVIRON, V119, P131, DOI 10.1016/j.rse.2011.12.015
   Fontes CG, 2018, PHILOS T R SOC B, V373, DOI 10.1098/rstb.2018.0209
   Gao C, 2018, WATER-SUI, V10, DOI 10.3390/w10101395
   Gillooly JF, 2001, SCIENCE, V293, P2248, DOI 10.1126/science.1061967
   Gloor M, 2015, GLOBAL BIOGEOCHEM CY, V29, P1384, DOI 10.1002/2014GB005080
   Gu ZJ, 2018, ECOL INDIC, V93, P54, DOI 10.1016/j.ecolind.2018.04.033
   Hawinkel P, 2016, J GEOPHYS RES-BIOGEO, V121, P2422, DOI 10.1002/2016JG003436
   He L, 2021, SCI TOTAL ENVIRON, V755, DOI 10.1016/j.scitotenv.2020.142506
   Herrmann SM, 2005, GLOBAL ENVIRON CHANG, V15, P394, DOI 10.1016/j.gloenvcha.2005.08.004
   Hilker T, 2015, REMOTE SENS ENVIRON, V166, P233, DOI 10.1016/j.rse.2015.05.020
   Hilker T, 2014, P NATL ACAD SCI USA, V111, P16041, DOI 10.1073/pnas.1404870111
   Holdrege MC, 2021, ECOLOGY, V102, DOI 10.1002/ecy.3212
   Hua WJ, 2017, REMOTE SENS-BASEL, V9, DOI 10.3390/rs9050425
   Huang MT, 2019, NAT ECOL EVOL, V3, P772, DOI 10.1038/s41559-019-0838-x
   Huete A, 2002, REMOTE SENS ENVIRON, V83, P195, DOI 10.1016/S0034-4257(02)00096-2
   Jiang LL, 2017, SCI TOTAL ENVIRON, V599, P967, DOI 10.1016/j.scitotenv.2017.05.012
   Jiapaer G, 2015, ECOL INDIC, V58, P64, DOI 10.1016/j.ecolind.2015.05.036
   Kahhat R, 2019, SCI TOTAL ENVIRON, V662, P940, DOI 10.1016/j.scitotenv.2019.01.246
   Kang C, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9122350
   Kondinya A., 2014, Impact of Climate Change on Vegetable Cultivation - A Review, V7, P145, DOI [10.5958/j.2230-732X.7.1.020, DOI 10.5958/J.2230-732X.7.1.020]
   Kulmatiski A, 2013, NAT CLIM CHANGE, V3, P833, DOI [10.1038/nclimate1904, 10.1038/NCLIMATE1904]
   Lambers H., 1998, Plant Physiological Ecology, P210
   Lian J, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9020211
   Liu H, 2020, EARTH SYST SCI DATA, V12, P1217, DOI 10.5194/essd-12-1217-2020
   Lyra AD, 2016, ACTA AMAZON, V46, P175, DOI 10.1590/1809-4392201502225
   Mahari WAW, 2020, SCI TOTAL ENVIRON, V742, DOI 10.1016/j.scitotenv.2020.140681
   Maherali H, 2004, ECOLOGY, V85, P2184, DOI 10.1890/02-0538
   Malhi Y, 2008, SCIENCE, V319, P169, DOI 10.1126/science.1146961
   Mo KL, 2019, J HYDROL, V574, P138, DOI 10.1016/j.jhydrol.2019.04.044
   Moles AT, 2014, J VEG SCI, V25, P1167, DOI 10.1111/jvs.12190
   Murad Cesar Augusto, 2018, Remote Sensing Applications: Society and Environment, V11, P161, DOI 10.1016/j.rsase.2018.07.003
   Nobre CA, 2016, P NATL ACAD SCI USA, V113, P10759, DOI 10.1073/pnas.1605516113
   Nunes S, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab76db
   O'Brien CL, 2020, P NATL ACAD SCI USA, V117, P25302, DOI 10.1073/pnas.2003914117
   Ochoa-Hueso R, 2020, ECOL MONOGR, V90, DOI 10.1002/ecm.1424
   Oki Y, 2020, BRAZ ARCH BIOL TECHN, V63, DOI 10.1590/1678-4324-2020190302
   Olivares I, 2015, BOT REV, V81, P42, DOI 10.1007/s12229-014-9149-8
   Phillips OL, 2009, SCIENCE, V323, P1344, DOI 10.1126/science.1164033
   Ren P, 2018, ANN BOT-LONDON, V121, P617, DOI 10.1093/aob/mcx188
   Rousvel S, 2013, ATMOSPHERE-BASEL, V4, P411, DOI 10.3390/atmos4040411
   Querino CAS, 2016, J APPL REMOTE SENS, V10, DOI 10.1117/1.JRS.10.026007
   Segura H, 2020, CLIM DYNAM, V54, P2613, DOI 10.1007/s00382-020-05132-6
   Shaffie S, 2019, NAT HAZARDS, V99, P857, DOI 10.1007/s11069-019-03779-x
   Shen MG, 2015, GLOBAL CHANGE BIOL, V21, P3647, DOI 10.1111/gcb.12961
   SHUKLA J, 1990, SCIENCE, V247, P1322, DOI 10.1126/science.247.4948.1322
   SIOLI H, 1991, FOREST ECOL MANAG, V38, P123, DOI 10.1016/0378-1127(91)90138-L
   Song XP, 2018, NATURE, V560, P639, DOI 10.1038/s41586-018-0411-9
   Srivastava SK, 1997, INT J REMOTE SENS, V18, P2931, DOI 10.1080/014311697217134
   Sun WY, 2013, J GEOGR SCI, V23, P1091, DOI 10.1007/s11442-013-1065-z
   Terzioglu S., 2015, VEGETATION PLANT DIV, P383
   Tian HJ, 2015, ECOL ENG, V82, P276, DOI 10.1016/j.ecoleng.2015.04.098
   Matricardi EAT, 2020, SCIENCE, V369, P1378, DOI 10.1126/science.abb3021
   Ukkola AM, 2016, NAT CLIM CHANGE, V6, P75, DOI [10.1038/nclimate2831, 10.1038/NCLIMATE2831]
   Walter H., 2012, Vegetation of the earth and ecological systems of the geo-biosphere
   Wang GL, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL049017
   Wang Jun-feng, 2020, Yingyong Shengtai Xuebao, V31, P778, DOI 10.13287/j.1001-9332.202003.001
   Wang YN, 2020, AGR ECOSYST ENVIRON, V303, DOI 10.1016/j.agee.2020.107119
   Wang YF, 2013, ECOHYDROLOGY, V6, P927, DOI 10.1002/eco.1255
   Wen YY, 2019, J GEOPHYS RES-BIOGEO, V124, P789, DOI 10.1029/2018JG004751
   Wen YY, 2019, GLOBAL PLANET CHANGE, V177, P27, DOI 10.1016/j.gloplacha.2019.03.010
   WENT FW, 1953, ANNU REV PLANT PHYS, V4, P347, DOI 10.1146/annurev.pp.04.060153.002023
   Wilcox KR, 2021, NEW PHYTOL, V229, P2007, DOI 10.1111/nph.17000
   Wu DD, 2020, ECOL MODEL, V430, DOI 10.1016/j.ecolmodel.2020.109128
   Xu GC, 2018, ECOL INDIC, V95, P233, DOI 10.1016/j.ecolind.2018.07.047
   Yang QL, 2019, SCI TOTAL ENVIRON, V659, P732, DOI 10.1016/j.scitotenv.2018.12.290
   [袁喆 Yuan Zhe], 2019, [长江科学院院报, Journal of Yangtze River Scientific Research Institute], V36, P7
   Zemp DC, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14681
   Zhang Lan, 2020, Yingyong Shengtai Xuebao, V31, P9, DOI 10.13287/j.1001-9332.202001.004
   Zhao WQ, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0175379
   Zhao Y, 2017, SCI CHINA EARTH SCI, V60, P1317, DOI 10.1007/s11430-017-9047-7
   Zscheischler J, 2020, WEATHER CLIM EXTREME, V29, DOI 10.1016/j.wace.2020.100270
NR 97
TC 24
Z9 29
U1 4
U2 51
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 1474-7065
EI 1873-5193
J9 PHYS CHEM EARTH
JI Phys. Chem. Earth
PD OCT
PY 2021
VL 123
AR 103024
DI 10.1016/j.pce.2021.103024
EA MAY 2021
PG 12
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA UA6QR
UT WOS:000685285300001
DA 2025-01-10
ER

PT J
AU Pelai, R
   Hagerman, SM
   Kozak, R
AF Pelai, Ricardo
   Hagerman, Shannon M.
   Kozak, Robert
TI Whose expertise counts? Assisted migration and the politics of knowledge
   in British Columbia's public forests
SO LAND USE POLICY
LA English
DT Article
DE Assisted migration; Knowledge politics; Climate change adaptation;
   Science-policy
ID CLIMATE-CHANGE; SCIENCE; CANADA; ADAPTATION; POLICY; FUTURE; RISKS;
   CONSERVATION; PERSPECTIVES; PERCEPTIONS
AB The assisted migration (AM) of trees is increasingly being proposed and trialed to adapt forest management to the impacts of climate change. While institutional and risk perception dimensions of AM are increasingly well studied, a key gap that remains is to understand how current institutional practices shape the types of knowledge that are considered in AM policy development, and how this in turn makes visible different risks and benefits. In this study, we use a politics of knowledge lens applied to the case of British Columbia, Canada, where AM policy is currently in place, to examine the types of knowledge informing AM thus far, and how that knowledge shapes perceived AM risks and ways of addressing them. Based on 27 in-depth, semi-structured interviews with key government employees and forest industry professionals involved with the development and implementation of AM, we find an overall optimistic view of AM. However, the type of knowledge deemed credible to inform AM decision-making is restricted to biophysical, model-based, scientific knowledge. This primarily biophysical framing of AM arises from the objectives and worldviews of actors working in the AM space and gives rise to relatively narrow ways of understanding potential AM risks and solutions to them. While policymakers and government scientists recognize the need to engage industry, Indigenous Peoples, and the general public, these groups are seen as knowledge receivers. We argue that these beliefs about what counts as credible expertise (and who can produce it) have served to exclude other knowledge forms from being considered in decision-making, and in so doing, have limited possibilities for generating transformative change.
C1 [Pelai, Ricardo; Hagerman, Shannon M.; Kozak, Robert] Univ British Columbia, Fac Forestry, 2424 Main Mall, Vancouver, BC V6T 1Z4, Canada.
C3 University of British Columbia
RP Pelai, R (corresponding author), Univ British Columbia, Fac Forestry, 2424 Main Mall, Vancouver, BC V6T 1Z4, Canada.
EM ricardo.pelai@alumni.ubc.ca; Shannon.hagerman@ubc.ca; rob.kozak@ubc.ca
OI Pelai, Ricardo/0000-0002-1724-0655
FU CoAdapTree project; Genome Canada [241REF]; Genome BC
FX The authors acknowledge the participation of the 27 interviewees who
   generously provided valuable insights and their time. This work would
   have not been possible without their participation. We also thank Harry
   Nelson, and members of the Social-Ecological Systems Research Group and
   CoAdapTree at the University of British Columbia for providing feedback
   at the development stage of this project. The authors also thank the
   anonymous reviewers for their constructive comments on earlier versions
   of this article. This study was financially supported through the
   CoAdapTree project with funding by Genome Canada (241REF), Genome BC,
   and 16 other sponsors (http://coadaptree.forestry.ubc.ca/sponsors/).
CR Adams WM, 2003, SCIENCE, V302, P1915, DOI 10.1126/science.1087771
   Adler R.W, 2019, COLUM J ENV L, V44
   Agrawal A, 2002, INT SOC SCI J, V54, P287, DOI 10.1111/1468-2451.00382
   Aitken SN, 2016, EVOL APPL, V9, P271, DOI 10.1111/eva.12293
   Aitken SN, 2013, ANNU REV ECOL EVOL S, V44, P367, DOI 10.1146/annurev-ecolsys-110512-135747
   [Anonymous], 2003, SUSTAINABLE MANAGEME
   [Anonymous], 2013, Law, Environ. ment and Development Journal
   [Anonymous], SCI PUBL POLICY
   Aubin I, 2011, FOREST CHRON, V87, P755, DOI 10.5558/tfc2011-092
   BC Chief Forester, 2010, AMENDMENTS STANDARDS
   BC Chief Forester, 2018, AM STAND APR 2018 CL
   BC MFLNRO, 2012, FOR STEW ACT PLAN CL
   BC MFLNRO, 2013, CLIM MIT POT BRIT CO
   BC MFLNRORD,, 2018, INF B TRANS BRIT COL
   BC Ministry of Forests, 1998, PROV SEEDL STOCK TYP
   Booth Annie L., 2011, Environment Development and Sustainability, V13, P685, DOI 10.1007/s10668-011-9284-x
   Brown S, 2009, NAT NANOTECHNOL, V4, P608, DOI 10.1038/nnano.2009.278
   Burgman MA, 2013, DIVERS DISTRIB, V19, P485, DOI 10.1111/ddi.12060
   C Ministry of Forests, 1993, 3 C MIN FOR
   Camacho Alejandro., 2010, Yale Journal on Regulation, P171
   Camacho AE, 2010, ISSUES SCI TECHNOL, V26, P21
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   Castleden H, 2009, SOC NATUR RESOUR, V22, P789, DOI 10.1080/08941920802098198
   Charmaz K., 2014, CONSTRUCTING GROUNDE
   Corner A, 2012, WIRES CLIM CHANGE, V3, P451, DOI 10.1002/wcc.176
   Creswell J. W., 2013, QUAL INQ
   Davies M., 2006, Bridging scales and knowledge systems, P145
   Day J.C., 2003, ENVIRONMENTS, V31, P21
   DELACROIX J, 1977, AM SOCIOL REV, V42, P795, DOI 10.2307/2094867
   Dickson D., 2005, SciDev. net, P27
   Diver S, 2017, ENVIRON SCI POLICY, V73, P1, DOI 10.1016/j.envsci.2017.03.001
   Fettig CJ, 2013, J FOREST, V111, P214, DOI 10.5849/jof.12-085
   Finucane ML, 2000, J BEHAV DECIS MAKING, V13, P1, DOI 10.1002/(SICI)1099-0771(200001/03)13:1<1::AID-BDM333>3.0.CO;2-S
   GIERYN TF, 1983, AM SOCIOL REV, V48, P781, DOI 10.2307/2095325
   Gray LK, 2011, ECOL APPL, V21, P1591, DOI 10.1890/10-1054.1
   Hagendijk R., 2006, PUBLIC DELIBERATION, DOI [10.1007/s11024-006-0012-x., DOI 10.1007/S11024-006-0012-X]
   Hagerman SM, 2018, FRONT ECOL ENVIRON, V16, P579, DOI 10.1002/fee.1974
   Hajjar R, 2015, FOREST POLICY ECON, V61, P59, DOI 10.1016/j.forpol.2015.08.004
   Hajjar R, 2014, CAN J FOREST RES, V44, P1525, DOI 10.1139/cjfr-2014-0142
   Hewitt N, 2011, BIOL CONSERV, V144, P2560, DOI 10.1016/j.biocon.2011.04.031
   Jasanoff S, 2005, AM J PUBLIC HEALTH, V95, pS49, DOI 10.2105/AJPH.2004.045732
   Jasanoff S, 2003, SOC STUD SCI, V33, P389, DOI 10.1177/03063127030333004
   Jasanoff S., 2004, STATES KNOWLEDGE COP
   Jasanoff S., 2003, TECHNOLOGIES HUMILIT, DOI [10.1023/A:1025557512320., DOI 10.1023/A:1025557512320]
   Jasanoff S., 2004, Earthly Politics: Local and Global in Environmental Governance
   Jasanoff S., 2012, Science and Public Reason, DOI DOI 10.4324/9780203113820
   Kahan DM, 2012, NAT CLIM CHANGE, V2, P732, DOI 10.1038/NCLIMATE1547
   Klenk N, 2008, ENVIRON VALUE, V17, P331, DOI 10.3197/096327108X343112
   Klenk NL, 2015, GLOBAL ENVIRON CHANG, V31, P20, DOI 10.1016/j.gloenvcha.2014.12.002
   Klenk NL, 2015, LAND USE POLICY, V44, P101, DOI 10.1016/j.landusepol.2014.12.003
   Kreyling J, 2011, RESTOR ECOL, V19, P433, DOI 10.1111/j.1526-100X.2011.00777.x
   Kujala H, 2013, CONSERV LETT, V6, P73, DOI 10.1111/j.1755-263X.2012.00299.x
   Low M., 2011, BC STUDIES, V172, P9, DOI 10.14288/ bcs.v0i172.2247
   Marshall C., 2014, Designing Qualitative Research, V3rd, DOI DOI 10.2307/2072869
   Maxwell J.A., 2013, Qualitative Research Design: An Interactive Approach, DOI DOI 10.1007/978-3-8349-6169-3_3
   Messier C, 2015, CONSERV LETT, V8, P368, DOI 10.1111/conl.12156
   Minteer BA, 2010, ECOL APPL, V20, P1801, DOI 10.1890/10-0318.1
   Moshofsky M, 2019, CAN J FOREST RES, V49, P553, DOI 10.1139/cjfr-2018-0076
   Neff MW, 2014, BIOL CONSERV, V172, P1, DOI 10.1016/j.biocon.2014.02.001
   Nelson HW, 2016, FOREST ECOL MANAG, V360, P388, DOI 10.1016/j.foreco.2015.09.038
   Nikolakis W, 2015, CAN J FOREST RES, V45, P639, DOI 10.1139/cjfr-2014-0349
   Ogden AE, 2007, INT FOREST REV, V9, P713, DOI 10.1505/ifor.9.3.713
   Palmer C, 2014, ENVIRON VALUE, V23, P641, DOI 10.3197/096327114X13947900181833
   Partridge T, 2017, GLOBAL ENVIRON CHANG, V42, P1, DOI 10.1016/j.gloenvcha.2016.11.002
   Pedlar JH, 2012, BIOSCIENCE, V62, P835, DOI 10.1525/bio.2012.62.9.10
   Poortinga W, 2005, RISK ANAL, V25, P199, DOI 10.1111/j.0272-4332.2005.00579.x
   Porter T.M., 1995, EFFECTS BRIEF MINDFU, DOI [10.1017/ CBO9781107415324.004, DOI 10.1017/CBO9781107415324.004]
   Richardson DM, 2009, P NATL ACAD SCI USA, V106, P9721, DOI 10.1073/pnas.0902327106
   Satterfield T, 2008, NEW GENET SOC, V27, P201, DOI 10.1080/14636770802326877
   Satterfield T, 2009, NAT NANOTECHNOL, V4, P752, DOI [10.1038/nnano.2009.265, 10.1038/NNANO.2009.265]
   Schensul S.L., 1999, ESSENTIAL ETHNOGRAPH
   Scoones I, 2009, J PEASANT STUD, V36, P171, DOI 10.1080/03066150902820503
   Smith LindaTuhiwai., 2012, Decolonizing Methodologies: Research and Indigenous Peoples, V2nd
   St-Laurent GP, 2019, J ENVIRON MANAGE, V242, P474, DOI 10.1016/j.jenvman.2019.04.065
   St-Laurent GP, 2018, CLIMATIC CHANGE, V151, P573, DOI 10.1007/s10584-018-2310-3
   Tindall D.B., 2004, Sociological Focus, V37, P163, DOI [10.1080/00380237.2004.10571240, DOI 10.1080/00380237.2004.10571240]
   Turnhout E, 2019, ENVIRONMENTAL EXPERTISE: CONNECTING SCIENCE, POLICY, AND SOCIETY, P68
   Turnhout E, 2018, CONSERV SOC, V16, P363, DOI 10.4103/cs.cs_17_35
   Turnhout E, 2016, CURR OPIN ENV SUST, V18, P65, DOI 10.1016/j.cosust.2015.09.004
   Vadrot ABM, 2017, INNOVATION-ABINGDON, V30, P61, DOI 10.1080/13511610.2016.1226787
   Vitt P, 2010, BIOL CONSERV, V143, P18, DOI 10.1016/j.biocon.2009.08.015
   Wall Kimmerer R., 2013, Braiding Sweetgrass
   Williams MI, 2013, J FOREST, V111, P287, DOI 10.5849/jof.13-016
   Winder R, 2011, FOREST CHRON, V87, P731, DOI 10.5558/tfc2011-090
NR 84
TC 19
Z9 21
U1 2
U2 23
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0264-8377
EI 1873-5754
J9 LAND USE POLICY
JI Land Use Pol.
PD APR
PY 2021
VL 103
AR 105296
DI 10.1016/j.landusepol.2021.105296
PG 12
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA RB8GN
UT WOS:000632344900003
OA hybrid
DA 2025-01-10
ER

PT J
AU Dimri, AP
   Allen, S
   Huggel, C
   Mal, S
   Ballesteros-Cánovas, JA
   Rohrer, M
   Shukla, A
   Tiwari, P
   Maharana, P
   Bolch, T
   Thayyen, RJ
   Stoffel, M
   Pandey, A
AF Dimri, A. P.
   Allen, S.
   Huggel, C.
   Mal, S.
   Ballesteros-Canovas, J. A.
   Rohrer, M.
   Shukla, A.
   Tiwari, P.
   Maharana, P.
   Bolch, T.
   Thayyen, R. J.
   Stoffel, M.
   Pandey, Aayushi
TI Climate change, cryosphere and impacts in the Indian Himalayan Region
SO CURRENT SCIENCE
LA English
DT Article
DE Climate change; cryosphere; glacier; permafrost; run-off
ID MORAINE-DAMMED LAKES; SEASONAL SNOW COVER; GLACIER MASS BALANCES;
   CORDEX-SA EXPERIMENTS; WESTERN HIMALAYA; OUTBURST FLOOD;
   HIMACHAL-PRADESH; SUMMER MONSOON; KULLU DISTRICT; RIVER-BASINS
AB Climate change and related impacts over the Indian Himalayan Region (IHR) remains poorly quantified. The present study reviews observed and modelled changes in the climate, cryosphere and impacts related to hazards, agriculture and ecosystems. An increasing temperature trend over the IHR is reported, which over a few locations is found to be higher than the global average. For precipitation, a complex and inconsistent response with considerable variation in the sign and magnitude of change is observed. Future projections show significant warming. Climate-driven changes and impacts are clearly observed. Snow cover has declined since the 1960s, with an enhanced decreasing trend during the 1990s and variable trends since 2000. Glaciers are losing mass and retreating at varying rates since the early 20th century, with an exception over the Karakoram region. An observed heterogeneous response of glaciers to atmospheric warming is controlled by regional variations in topography, debris cover, circulation and precipitation. Initial assessments of permafrost extent of 1 million km(2) across the IHR roughly translate into 14 times the glacier area. Extreme floods represent the most frequent natural disaster in the IHR. Studies have highlighted the significant threat from glacial lakes. Landslides occur in combination with heavy rainfall and flooding, with poor land- use practices such as road-cutting and deforestation being additional drivers. Climate change has also stressed traditional subsistence agriculture and food systems. Improving systematic and coordinated monitoring of climate and related impacts is crucial to contribute to effective climate change adaptation and response strategies.yy
C1 [Dimri, A. P.; Maharana, P.; Pandey, Aayushi] Jawaharlal Nehru Univ, Sch Environm Sci, New Delhi 110067, India.
   [Allen, S.; Huggel, C.] Univ Zurich, Dept Geog, Zurich, Switzerland.
   [Allen, S.; Ballesteros-Canovas, J. A.; Rohrer, M.; Stoffel, M.] Univ Geneva, Inst Environm Sci, Geneva, Switzerland.
   [Mal, S.] Univ Delhi, Shaheed Bhagat Singh Coll, Dept Geog, Delhi 110017, India.
   [Rohrer, M.] Meteodat GmbH, Zurich, Switzerland.
   [Shukla, A.] Minist Earth Sci, New Delhi 110003, India.
   [Tiwari, P.] Kumaon Univ, Dept Geog, Naini Tal 263001, India.
   [Bolch, T.] Univ St Andrews, Sch Geog & Sustainable Dev, St Andrews, Fife, Scotland.
   [Thayyen, R. J.] Natl Inst Hydrol, Roorkee 247667, Uttar Pradesh, India.
   [Stoffel, M.] Univ Geneva, Dept Earth Sci, Geneva, Switzerland.
   [Stoffel, M.] Univ Geneva, Dept FA Forel Environm & Aquat Sci, Geneva, Switzerland.
C3 Jawaharlal Nehru University, New Delhi; University of Zurich; University
   of Geneva; University of Delhi; Ministry of Earth Sciences (MoES) -
   India; Kumaun University; University of St Andrews; University of
   Geneva; University of Geneva
RP Dimri, AP (corresponding author), Jawaharlal Nehru Univ, Sch Environm Sci, New Delhi 110067, India.
EM apdimri@hotmail.com
RI Thayyen, Renoj/AAR-8636-2020; Cánovas, Juan/ABG-7903-2020; Bolch,
   Tobias/ABE-6635-2020; Maharana, Pyarimohan/Q-4121-2018; Bolch,
   Tobias/A-1935-2008
OI Ballesteros Canovas, Juan A./0000-0003-4439-397X; Dimri, A
   P/0000-0002-7832-8669; Maharana, Pyarimohan/0000-0003-3175-8714; Pandey,
   Alok Kumar/0000-0001-5604-3243; Bolch, Tobias/0000-0002-8201-5059
FU Government of Himachal Pradesh; National Mission of Himalayan Studies,
   Ministry of Environment, Forest and Climate Change, GoI
FX This study has benefitted from collaborations promoted by the Indian
   Himalayas Climate Adaptation Programme (www.ihcap.in), a project under
   the Global Programme Climate Change and Environment of the Swiss Agency
   for Development and Cooperation in cooperation with the Department of
   Science and Technology, Government of India (GoI), and with support from
   the Government of Himachal Pradesh and National Mission of Himalayan
   Studies, Ministry of Environment, Forest and Climate Change, GoI.
CR Aase TH, 2013, MT RES DEV, V33, P4, DOI 10.1659/MRD-JOURNAL-D-12-00025.1
   Aggarwal A, 2016, GEOMAT NAT HAZ RISK, V7, P18, DOI 10.1080/19475705.2013.862573
   Aggarwal S, 2017, GEOMORPHOLOGY, V295, P39, DOI 10.1016/j.geomorph.2017.06.014
   Allen SK, 2018, ENVIRON SCI POLICY, V87, P1, DOI 10.1016/j.envsci.2018.05.013
   Allen SK, 2016, NAT HAZARDS, V84, P1741, DOI 10.1007/s11069-016-2511-x
   Allen SK, 2016, CURR SCI INDIA, V111, P550, DOI 10.18520/cs/v111/i3/550-553
   Allen SK, 2016, LANDSLIDES, V13, P1479, DOI 10.1007/s10346-015-0584-3
   [Anonymous], 2014, GLOBAL LAND ICE MEAS, DOI DOI 10.1007/978-3-540-79818-7_24
   Bajracharya SS., 2011, The status of glaciers in the Hindu Kush-Himalayan region, DOI [DOI 10.53055/ICIMOD.551, 10.53055/ICIMOD.551]
   Ballesteros-Cánovas JA, 2020, SCI TOTAL ENVIRON, V722, DOI 10.1016/j.scitotenv.2020.137875
   Bamzai AS, 1999, J CLIMATE, V12, P3117, DOI 10.1175/1520-0442(1999)012<3117:RBESCS>2.0.CO;2
   Barnett TP, 2005, NATURE, V438, P303, DOI 10.1038/nature04141
   Barry R. G., 2008, MOUNTAIN WEATHER CLI, DOI DOI 10.1017/CBO9780511754753
   BAUMGARTNER MF, 1986, IEEE T GEOSCI REMOTE, V24, P1013, DOI 10.1109/TGRS.1986.289565
   Beniston M, 2006, HYDROBIOLOGIA, V562, P3, DOI 10.1007/s10750-005-1802-0
   Beniston M., 1994, MOUNTAIN ENV CHANGIN
   Beniston M., 1997, CLIMATIC CHANGE, P1
   Benn DI, 2012, EARTH-SCI REV, V114, P156, DOI 10.1016/j.earscirev.2012.03.008
   Bhagat R. M., 2004, GLOBAL CHANGE SYSTEM
   Bhambri R, 2013, CRYOSPHERE, V7, P1385, DOI 10.5194/tc-7-1385-2013
   Bhambri R, 2011, J GLACIOL, V57, P543, DOI 10.3189/002214311796905604
   Bhambri R, 2009, PROG PHYS GEOG, V33, P672, DOI 10.1177/0309133309348112
   Bharti V., 2015, FACULTY GEO INFORM E
   Bhattacharyya N. N., 1997, Water International, V22, P222, DOI 10.1080/02508069708686709
   Bhutiyani MR, 2008, CURR SCI INDIA, V95, P618
   Bolch T, 2012, SCIENCE, V336, P310, DOI 10.1126/science.1215828
   Bolch T., 2014, SNOW ICE RELATED HAZ, P201, DOI 10.1016/B978-0-12-394849-6.00007-X
   Bolch T, 2019, HINDU KUSH HIMALAYA ASSESSMENT: MOUNTAINS, CLIMATE CHANGE, SUSTAINABILITY AND PEOPLE, P209, DOI 10.1007/978-3-319-92288-1_7
   Bolch T, 2017, CRYOSPHERE, V11, P531, DOI 10.5194/tc-11-531-2017
   Bolch T, 2008, J GLACIOL, V54, P592, DOI 10.3189/002214308786570782
   Bradley RS, 2006, SCIENCE, V312, P1755, DOI 10.1126/science.1128087
   Brun F, 2017, NAT GEOSCI, V10, P668, DOI [10.1038/NGEO2999, 10.1038/ngeo2999]
   Canovas JAB, 2017, J HYDROL, V546, P140, DOI 10.1016/j.jhydrol.2016.12.059
   Carracedo JC, 2016, GEOLOGY OF THE CANARY ISLANDS, P1, DOI 10.1016/j.gloplacha.2016.07.001
   Choudhary A, 2019, THEOR APPL CLIMATOL, V136, P1047, DOI 10.1007/s00704-018-2532-3
   Choudhary A, 2018, THEOR APPL CLIMATOL, V134, P283, DOI 10.1007/s00704-017-2274-7
   Copland L, 2011, ARCT ANTARCT ALP RES, V43, P503, DOI 10.1657/1938-4246-43.4.503
   Coxon P, 1996, J QUATERNARY SCI, V11, P495, DOI 10.1002/(SICI)1099-1417(199611/12)11:6<495::AID-JQS268>3.0.CO;2-M
   Cramer W, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P979
   Cremonese E, 2011, CRYOSPHERE, V5, P651, DOI 10.5194/tc-5-651-2011
   Das S, 2015, NAT HAZARDS, V77, P769, DOI 10.1007/s11069-015-1629-6
   Dash SK, 2015, THEOR APPL CLIMATOL, V122, P581, DOI 10.1007/s00704-014-1310-0
   Dehecq A, 2015, REMOTE SENS ENVIRON, V162, P55, DOI 10.1016/j.rse.2015.01.031
   Dimri AP, 2007, PURE APPL GEOPHYS, V164, P1733, DOI 10.1007/s00024-007-0239-y
   Dimri AP, 2018, GLOBAL PLANET CHANGE, V162, P212, DOI 10.1016/j.gloplacha.2018.01.015
   Dimri AP, 2017, EARTH-SCI REV, V168, P1, DOI 10.1016/j.earscirev.2017.03.006
   Dimri AP, 2015, REV GEOPHYS, V53, P225, DOI 10.1002/2014RG000460
   Dimri AP, 2013, SCI TOTAL ENVIRON, V468, pS36, DOI 10.1016/j.scitotenv.2013.01.040
   Dimri AP, 2012, CLIMATIC CHANGE, V111, P775, DOI 10.1007/s10584-011-0201-y
   Dimri AP, 2009, METEOROL APPL, V16, P289, DOI 10.1002/met.117
   Dimri AP, 2004, METEOROL APPL, V11, P115, DOI 10.1017/S1350482704001227
   Du MY, 2004, GLOBAL PLANET CHANGE, V41, P241, DOI 10.1016/j.gloplacha.2004.01.010
   Ebi KL, 2007, ECOHEALTH, V4, P264, DOI 10.1007/s10393-007-0119-z
   Edenhofer O., 2014, IPCC: Climate Change 2014: Mitigation of Climate Change. Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change
   Ely LL, 1996, GEOL SOC AM BULL, V108, P1134, DOI 10.1130/0016-7606(1996)108<1134:CITMAF>2.3.CO;2
   FAO, 2008, FOOD SECURITY MOUNTA
   Fowler HJ, 2006, J CLIMATE, V19, P4276, DOI 10.1175/JCLI3860.1
   Fujita K, 2013, NAT HAZARD EARTH SYS, V13, P1827, DOI 10.5194/nhess-13-1827-2013
   Gardelle J, 2013, CRYOSPHERE, V7, P1263, DOI 10.5194/tc-7-1263-2013
   Gardelle J, 2012, NAT GEOSCI, V5, P322, DOI [10.1038/ngeo1450, 10.1038/NGEO1450]
   Gardelle J, 2011, GLOBAL PLANET CHANGE, V75, P47, DOI 10.1016/j.gloplacha.2010.10.003
   Gardner AS, 2013, SCIENCE, V340, P852, DOI 10.1126/science.1234532
   Gardner J.S., 2004, J. Mt. Sci., V1, P115
   Gardner JS, 2007, NAT HAZARDS, V41, P317, DOI 10.1007/s11069-006-9038-5
   Gardner JS, 2002, GEOGR REV, V92, P282, DOI 10.1111/j.1931-0846.2002.tb00008.x
   Garg PK, 2017, GLOBAL PLANET CHANGE, V155, P196, DOI 10.1016/j.gloplacha.2017.07.007
   Gautam M. R., 2013, POLICY RE SEARCH WOR
   Gautam R, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2009GL037641
   Ghimire S, 2018, CLIM DYNAM, V50, P2311, DOI 10.1007/s00382-015-2747-2
   Gruber S, 2012, CRYOSPHERE, V6, P221, DOI 10.5194/tc-6-221-2012
   Gruber S, 2017, CRYOSPHERE, V11, P81, DOI 10.5194/tc-11-81-2017
   Guhathakurta P, 2011, J EARTH SYST SCI, V120, P359, DOI 10.1007/s12040-011-0082-5
   Gupta A., 1998, FLOOD STUDIES INDIA, P143
   Gupta V, 2008, NAT HAZARDS, V45, P379, DOI 10.1007/s11069-007-9174-6
   Gurung DR., 2011, Snow-cover mapping and monitoring in the Hindu Kush-Himalayas
   Haeberli W, 2001, J GLACIOL, V47, P111, DOI 10.3189/172756501781832575
   Haeberli W., 1993, Permafrost and Periglacial Processes, V4, P165, DOI 10.1002/ppp.3430040208
   HAHN DG, 1976, J ATMOS SCI, V33, P2461, DOI 10.1175/1520-0469(1976)033<2461:AARBES>2.0.CO;2
   Harrison S, 2018, CRYOSPHERE, V12, P1195, DOI 10.5194/tc-12-1195-2018
   Hasson S, 2014, HYDROL EARTH SYST SC, V18, P4077, DOI 10.5194/hess-18-4077-2014
   Heid T, 2012, CRYOSPHERE, V6, P467, DOI 10.5194/tc-6-467-2012
   HEWITT K, 1982, HYDROLOG SCI J, V27, P266
   Hewitt K, 2011, MT RES DEV, V31, P188, DOI 10.1659/MRD-JOURNAL-D-11-00020.1
   HINGANE LS, 1985, J CLIMATOL, V5, P521, DOI 10.1002/joc.3370050505
   Hinzman LD, 2005, CLIMATIC CHANGE, V72, P251, DOI 10.1007/s10584-005-5352-2
   Huss M, 2017, EARTHS FUTURE, V5, P418, DOI 10.1002/2016EF000514
   ICIMOD, 2010, MOUNTAINS WORLD ECOS
   Immerzeel WW, 2009, REMOTE SENS ENVIRON, V113, P40, DOI 10.1016/j.rse.2008.08.010
   Immerzeel WW, 2010, SCIENCE, V328, P1382, DOI 10.1126/science.1183188
   Intergovernmental Panel on Climate Change (IPCC), 2019, Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, DOI 10.1017/CBO9781107415324.024
   Ives JD, 2010, Formation of glacial lakes in the Hindu KushHimalayas and GLOF risk assessment
   Jain SK, 2012, NAT HAZARDS, V62, P887, DOI 10.1007/s11069-012-0120-x
   Jha LK, 2017, NAT HAZARDS, V85, P301, DOI 10.1007/s11069-016-2565-9
   Joshi S, 2014, NAT HAZARDS, V72, P361, DOI 10.1007/s11069-013-1012-4
   Joshi V., 2006, Journal of Mountain Science, V3, P228, DOI [10.1007/s11629-006-0228-0, DOI 10.1007/S11629-006-0228-0]
   Kale VS, 2000, CATENA, V40, P337, DOI 10.1016/S0341-8162(00)00091-6
   Kale VS, 1997, J GEOL SOC INDIA, V50, P283
   Kale VS, 2002, PROG PHYS GEOG, V26, P400, DOI 10.1191/0309133302pp343ra
   Kapnick SB, 2014, NAT GEOSCI, V7, P834, DOI 10.1038/NGEO2269
   Kapos V., 2000, Forests in sustainable mountain development: a state of knowledge report for 2000. Task Force on Forests in Sustainable Mountain Development., P4, DOI 10.1079/9780851994468.0004
   Khromova TE, 2006, REMOTE SENS ENVIRON, V102, P24, DOI 10.1016/j.rse.2006.01.019
   Konz M, 2010, IAHS-AISH P, V340, P465
   Kraaijenbrink PDA, 2017, NATURE, V549, P257, DOI 10.1038/nature23878
   Kripalani RH, 2003, THEOR APPL CLIMATOL, V74, P1, DOI 10.1007/s00704-002-0699-z
   Krishnan R, 2019, HINDU KUSH HIMALAYA ASSESSMENT: MOUNTAINS, CLIMATE CHANGE, SUSTAINABILITY AND PEOPLE, P57, DOI 10.1007/978-3-319-92288-1_3
   Kulkarni AV, 2007, CURR SCI INDIA, V92, P69
   Kulkarni AV, 2014, CURR SCI INDIA, V106, P237
   Kulkarni AV, 2011, INT J REMOTE SENS, V32, P601, DOI 10.1080/01431161.2010.517802
   Kulkarni AV, 2010, ANN GLACIOL, V51, P123, DOI 10.3189/172756410791386445
   Kulkarni A, 2013, MT RES DEV, V33, P142, DOI 10.1659/MRD-JOURNAL-D-11-00131.1
   Kumar B., 2012, Climate Change in Sikkim-Patterns, Impacts and Initiatives, P81
   Kumar P, 2015, GEOPHYS RES LETT, V42, P1818, DOI 10.1002/2015GL063392
   Kumar V, 2010, QUATERN INT, V212, P64, DOI 10.1016/j.quaint.2009.08.006
   Liu XD, 2009, GLOBAL PLANET CHANGE, V68, P164, DOI 10.1016/j.gloplacha.2009.03.017
   Lutz AF, 2014, NAT CLIM CHANGE, V4, P587, DOI [10.1038/nclimate2237, 10.1038/NCLIMATE2237]
   Madhura RK, 2015, CLIM DYNAM, V44, P1157, DOI 10.1007/s00382-014-2166-9
   Mason K., 1932, HIMALAYAN J, V5, P128
   MAYEWSKI PA, 1979, ARCTIC ALPINE RES, V11, P267, DOI 10.2307/1550417
   Meier MF, 2003, CLIMATIC CHANGE, V59, P123, DOI 10.1023/A:1024410528427
   Ménégoz M, 2013, HYDROL EARTH SYST SC, V17, P3921, DOI 10.5194/hess-17-3921-2013
   Menon S, 2010, ATMOS CHEM PHYS, V10, P4559, DOI 10.5194/acp-10-4559-2010
   Messerli B., 1997, Mountains Of The World
   Minora U, 2016, PROG PHYS GEOG, V40, P629, DOI 10.1177/0309133316643926
   Mishra V, 2015, J GEOPHYS RES-ATMOS, V120, P2689, DOI 10.1002/2014JD022650
   Mool P. K., 2003, SIKKIM HIMALAYA INVE
   Mool P. K., 2005, INVENTORY GLACIERS G
   Mukherjee S, 2015, THEOR APPL CLIMATOL, V121, P789, DOI 10.1007/s00704-014-1273-1
   Mukhopadhyay B, 2013, HYDROL PROCESS, V27, P2126, DOI 10.1002/hyp.9306
   Negi HS, 2009, J EARTH SYST SCI, V118, P711, DOI 10.1007/s12040-009-0057-y
   Nelson FE, 2003, SCIENCE, V299, P1673, DOI 10.1126/science.1081111
   Nengker T, 2018, CLIM DYNAM, V50, P2411, DOI 10.1007/s00382-017-3597-x
   Nie Y, 2017, REMOTE SENS ENVIRON, V189, P1, DOI 10.1016/j.rse.2016.11.008
   Nie Y, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0083973
   Oerlemans J, 2007, CRYOSPHERE, V1, P59, DOI 10.5194/tc-1-59-2007
   Oh SG, 2014, J GEOPHYS RES-ATMOS, V119, P2913, DOI 10.1002/2013JD020693
   Ohmura A, 2012, THEOR APPL CLIMATOL, V110, P499, DOI 10.1007/s00704-012-0687-x
   Ouyang H., 2012, ICIMOD MAIRS JOINT I
   Pal S, 2016, INDIAN J MED MICROBI, V34, P233, DOI 10.4103/0255-0857.180354
   Palazzi E, 2013, J GEOPHYS RES-ATMOS, V118, P85, DOI 10.1029/2012JD018697
   Palazzi E, 2015, CLIM DYNAM, V45, P21, DOI 10.1007/s00382-014-2341-z
   Panday PK, 2015, INT J CLIMATOL, V35, P3058, DOI 10.1002/joc.4192
   Pande R. K., 2006, Disaster Prevention & Management, V15, P247, DOI 10.1108/09653560610659793
   Parthasarathy B., 1987, W HIMALAYAS, VI, P61
   Patel LK, 2017, NAT HAZARDS, V86, P1275, DOI 10.1007/s11069-017-2743-4
   Pepin N, 2015, NAT CLIM CHANGE, V5, P424, DOI [10.1038/nclimate2563, 10.1038/NCLIMATE2563]
   Pfeffer WT, 2014, J GLACIOL, V60, P537, DOI 10.3189/2014JoG13J176
   Prakash C, 2017, EARTH SURF PROC LAND, V42, P2306, DOI 10.1002/esp.4185
   Press Trust of India, 2013, ECONOMIC TIMES 0731
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Quincey DJ, 2005, PROG PHYS GEOG, V29, P475, DOI 10.1191/0309133305pp456ra
   Racoviteanu AE, 2015, CRYOSPHERE, V9, P505, DOI 10.5194/tc-9-505-2015
   Raina V., 2009, HIMALAYAN GLACIERS S, P1
   Raina V., 2008, GSI PUBLICATIONS7, P1
   Raj KBG, 2016, J INDIAN SOC REMOTE, V44, P959, DOI 10.1007/s12524-016-0560-y
   Raj KBG, 2013, CURR SCI INDIA, V104, P359
   Rajbhandari R, 2015, CLIM DYNAM, V44, P339, DOI 10.1007/s00382-014-2183-8
   Rajbhandari R, 2017, ADV CLIM CHANG RES, V8, P199, DOI 10.1016/j.accre.2017.08.006
   Rajeevan M, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL035143
   Randhawa SS, 2005, PHOTONIRVACHAK-J IND, V33, P285
   RANGO A, 1981, NORD HYDROL, V12, P265
   Rangwala I, 2012, CLIMATIC CHANGE, V114, P527, DOI 10.1007/s10584-012-0419-3
   Rangwala I, 2010, CLIM DYNAM, V34, P859, DOI 10.1007/s00382-009-0564-1
   Rankl M, 2016, ANN GLACIOL, V57, P273, DOI 10.3189/2016AoG71A024
   Rastogi SP., 1999, Proceedings of the Symposium for Snow, Ice and Glaciers, Geological Survey of India Special Publication, V53, P315
   Rathore BP, 2015, CURR SCI INDIA, V109, P1843, DOI [10.18520/v109/i10/1843-1849, 10.18520/cs/v109/i10/1843-1849]
   Rathore BP, 2015, CURR SCI INDIA, V108, P1375
   Ray K, 2015, CURR SCI INDIA, V109, P580
   Richardson SD, 2000, QUATERN INT, V65-6, P31, DOI 10.1016/S1040-6182(99)00035-X
   Rikiishi K, 2006, ANN GLACIOL-SER, V43, P369, DOI 10.3189/172756406781811989
   Rohrer M, 2013, SCI TOTAL ENVIRON, V468, pS60, DOI 10.1016/j.scitotenv.2013.09.056
   Romanovsky VE, 2010, PERMAFROST PERIGLAC, V21, P106, DOI 10.1002/ppp.689
   Ruiz-Villanueva V, 2017, PROG PHYS GEOG, V41, P3, DOI 10.1177/0309133316658614
   Sah M., 2005, INDIA INVENTORY GLAC
   Salerno F, 2017, EARTH PLANET SC LETT, V471, P19, DOI 10.1016/j.epsl.2017.04.039
   Sangode SJ, 2011, CURR SCI INDIA, V100, P1712
   Sanjay J, 2017, ADV CLIM CHANG RES, V8, P185, DOI 10.1016/j.accre.2017.08.003
   Sati SP, 2013, GEOMAT NAT HAZ RISK, V4, P193, DOI 10.1080/19475705.2013.827135
   Sati SP, 2011, CURR SCI INDIA, V100, P1617
   Schaphoff S, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/014026
   Scherler D, 2011, NAT GEOSCI, V4, P156, DOI 10.1038/NGEO1068
   Schmid MO, 2015, CRYOSPHERE, V9, P2089, DOI 10.5194/tc-9-2089-2015
   Schmidt S, 2012, ARCT ANTARCT ALP RES, V44, P107, DOI 10.1657/1938-4246-44.1.107
   Schwanghart W, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/7/074005
   Sharma G, 2016, MT RES DEV, V36, P286, DOI 10.1659/MRD-JOURNAL-D-14-00122.1
   Shrestha AB, 1999, J CLIMATE, V12, P2775, DOI 10.1175/1520-0442(1999)012<2775:MTTITH>2.0.CO;2
   Shrestha AB, 2000, INT J CLIMATOL, V20, P317, DOI 10.1002/(SICI)1097-0088(20000315)20:3<317::AID-JOC476>3.0.CO;2-G
   Shrestha AB, 2017, INT J CLIMATOL, V37, P1066, DOI 10.1002/joc.4761
   Siderius C, 2013, SCI TOTAL ENVIRON, V468, pS93, DOI 10.1016/j.scitotenv.2013.05.084
   Singh O, 2017, ARAB J GEOSCI, V10, DOI 10.1007/s12517-017-2895-2
   Singh O, 2013, NAT HAZARDS, V69, P1815, DOI 10.1007/s11069-013-0781-0
   Singh P, 1997, J HYDROL, V199, P183, DOI 10.1016/S0022-1694(96)03222-2
   Singh RB, 2014, ATMOS SCI LETT, V15, P218, DOI 10.1002/asl2.494
   Singh R. B., 2014, CLIMATE CHANGE BIODI, V1, P3
   Singh R. B., 2002, ERB NO EUROPEAN FRIE
   Singh SK, 2014, INT J CLIMATOL, V34, P446, DOI 10.1002/joc.3697
   Stäubli A, 2018, SUSTAIN DEV GOAL SER, P17, DOI 10.1007/978-3-319-56469-2_2
   Tahir AA, 2016, METEOROL ATMOS PHYS, V128, P793, DOI 10.1007/s00703-016-0440-6
   Thayyen RJ, 2010, CRYOSPHERE, V4, P115, DOI 10.5194/tc-4-115-2010
   Thayyen R. J., 2015, INT S GLACIOLOGY HIG
   Tiwari P.C., 2015, CHANGE ADAPTATION SO, V2, DOI DOI 10.1515/CASS-2015-0002
   Tiwari PC, 2012, WATER RESOUR MANAG, V26, P883, DOI 10.1007/s11269-011-9825-y
   Trivedi A., 2014, HINDUSTAN TIMES 0729
   Tsering K., 2003, Project report on climate change vulnerability and adaptation study for rice production in Bhutan; Climate change studies in Bhutan
   Uniyal A, 2013, CURR SCI INDIA, V105, P1472
   Vaughan D., 2013, Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, P317, DOI DOI 10.1017/CBO9781107415324.012
   Vincent C, 2013, CRYOSPHERE, V7, P569, DOI 10.5194/tc-7-569-2013
   Viviroli D, 2007, WATER RESOUR RES, V43, DOI 10.1029/2006WR005653
   Wang J, 2003, INT J REMOTE SENS, V24, P4129, DOI 10.1080/0143116031000070409
   Wasson RJ, 2013, QUATERNARY SCI REV, V77, P156, DOI 10.1016/j.quascirev.2013.07.022
   Westermann S, 2015, CRYOSPHERE, V9, P1303, DOI 10.5194/tc-9-1303-2015
   Winiger M, 2005, HYDROL PROCESS, V19, P2329, DOI 10.1002/hyp.5887
   Worni R, 2013, SCI TOTAL ENVIRON, V468, pS71, DOI 10.1016/j.scitotenv.2012.11.043
   Wu J, 2017, ADV CLIM CHANG RES, V8, P176, DOI 10.1016/j.accre.2017.03.001
   Wuennemann B, 2008, PERMAFROST PERIGLAC, V19, P341, DOI 10.1002/ppp.631
   Xu JC, 2009, CONSERV BIOL, V23, P520, DOI 10.1111/j.1523-1739.2009.01237.x
   Yao TD, 2012, NAT CLIM CHANGE, V2, P663, DOI [10.1038/nclimate1580, 10.1038/NCLIMATE1580]
   You QL, 2017, ADV CLIM CHANG RES, V8, P141, DOI 10.1016/j.accre.2017.04.001
   Zhan YJ, 2017, ADV CLIM CHANG RES, V8, P166, DOI 10.1016/j.accre.2017.08.002
   Zhang GQ, 2015, GLOBAL PLANET CHANGE, V131, P148, DOI 10.1016/j.gloplacha.2015.05.013
   Zhang TJ, 2005, J GEOPHYS RES-ATMOS, V110, DOI 10.1029/2004JD005642
   Zhou YS, 2017, J GLACIOL, V63, P331, DOI 10.1017/jog.2016.142
NR 221
TC 37
Z9 38
U1 11
U2 64
PU INDIAN ACAD SCIENCES
PI BANGALORE
PA C V RAMAN AVENUE, SADASHIVANAGAR, P B #8005, BANGALORE 560 080, INDIA
SN 0011-3891
J9 CURR SCI INDIA
JI Curr. Sci.
PD MAR 10
PY 2021
VL 120
IS 5
BP 774
EP 790
DI 10.18520/cs/v120/i5/774-790
PG 17
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA QT6TZ
UT WOS:000626722900022
OA Green Published, gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Blundo-Canto, G
   Andrieu, N
   Adam, NS
   Ndiaye, O
   Chiputwa, B
AF Blundo-Canto, Genowefa
   Andrieu, Nadine
   Adam, Nawalyath Soule
   Ndiaye, Ousmane
   Chiputwa, Brian
TI Scaling weather and climate services for agriculture in Senegal:
   Evaluating systemic but overlooked effects
SO CLIMATE SERVICES
LA English
DT Article
DE Adaptation; West Africa; Innovation; Forecasts; Outcomes; Weather and
   Climate Services
ID INNOVATION SYSTEMS; WEST-AFRICA; IMPACTS; FORECASTS; LESSONS; ISSUES
AB In the West African Sahel, climate variability and climate change pose huge challenges to food security and health, particularly for poor and marginalised population groups. Co-production of actionable climate information between scientists and users has been advocated to increase its use in climate change adaptation. Consequently, Weather and Climate Services (WCS) co-production models have been expanding, but there have been few evaluations of their effects. Those that exist mostly focus on the end user. The empirical contribution of this paper is an evidence-based evaluation of the scaling of WCS based on co-production models in Senegal. The methodological contribution is a systemic and iterative evaluation method involving multiple analytical tools. The scaling of WCS in Senegal involved at least 161 actors and resulted in five axes of transformation: 1) continuous improvement of WCS, 2) emergence and consolidation of WCS facilitators, 3) inclusion of WCS in action planning, 4) active mobilisation to sustain WCS scaling, and 5) empowerment of actors. New users and uses emerged beyond agriculture, involving the fisheries, water and energy sectors, producing changes in institutional communication strategies, operational planning, and in coordination between actors. Enabling factors for scaling included capacity strengthening, knowledge-sharing and action platforms, interaction opportunities, and financial and political support. However, reduced precision of forecasts over time is perceived. New challenges are emerging including improving delivery and finer grain information, getting the private sector involved, and building capacity and trust at a large scale, to keep pace with the increase in uses and users
C1 [Blundo-Canto, Genowefa; Adam, Nawalyath Soule] CIRAD, UMR Innovat, 73 Ave Jean Francois Breton, F-34398 Montpellier 5, France.
   [Blundo-Canto, Genowefa; Andrieu, Nadine; Adam, Nawalyath Soule] Univ Montpellier, F-34090 Montpellier, France.
   [Andrieu, Nadine] CIRAD, UMR Innovat, Int Ctr Trop Agr, Decis & Policy Anal Res Area, Cali, Colombia.
   [Ndiaye, Ousmane] Agence Natl Aviat Civile & Meteorol ANACIM, Dakar, Senegal.
   [Chiputwa, Brian] World Agroforestry Ctr ICRAF, Nairobi, Kenya.
C3 CIRAD; Universite de Montpellier; CIRAD; Alliance; International Center
   for Tropical Agriculture - CIAT; CGIAR; World Agroforestry (ICRAF)
RP Blundo-Canto, G (corresponding author), CIRAD, UMR Innovat, 73 Ave Jean Francois Breton, F-34398 Montpellier 5, France.
EM genowefa.blundo_canto@cirad.fr
RI ANDRIEU, Nadine/H-4255-2014; Ndiaye, Ousmane/JYQ-0844-2024
OI ndiaye, ousmane/0000-0002-5048-4731
FU CGIAR Research Program on Climate Change, Agriculture and Food Security
   (CCAFS); CGIAR Trust Fund
FX This work was funded under the 2018 call for ex-post impact assessment
   (ep-IA) of climate change related work in the CGIAR. The call is a
   competitive bid funded by the CGIAR Research Program on Climate Change,
   Agriculture and Food Security (CCAFS) with the aim of providing robust
   impact evaluations of climate change related work. CCAFS is carried out
   with support from the CGIAR Trust Fund and through bilateral funding
   agreements. For details please visit https://cca fs.cgiar.org/donors.
   The views expressed in this document cannot be taken to reflect the
   official opinions of these organisations.
CR African Development Bank, 2020, NOT DIAGN PAYS SEN R
   ANACIM, 2020, PROD GTP
   ANACIM, 2013, SCAL CLIM SERV MEN W
   Anastas JW, 2004, RES SOCIAL WORK PRAC, V14, P57, DOI 10.1177/1049731503257870
   [Anonymous], 2012, INTRO MIXED METHODS
   Bastian M., 2009, INT AAAI C WEBL SOC, DOI 10.13140/2.1.1341.1520
   Blundo-Canto G, 2017, CAH AGRIC, V26, DOI 10.1051/cagri/2017054
   Catholic Relief Service, 2018, PART CLIM INF SERV S
   CCAFS, 2015, 3 CCAFS
   Chaudhuri B., 2017, ACTOR NETWORKS PRACT, DOI [10.1007/978-3-319-59111-7_66, DOI 10.1007/978-3-319-59111-7_66]
   Chiputwa B., 2020, DYNAMIC UPTAKE CIS U
   Chiputwa B, 2020, CLIM SERV, V20, DOI 10.1016/j.cliser.2020.100203
   CIAT BFS/USAID, 2016, CSA Country Profiles for Africa Series
   Diouf B., 2015, ETAT LIEUX ACTEURS I
   Domergue J.L., 1987, OUTILS SATELLITAIRES, P15
   Douthwaite B, 2003, AGR SYST, V78, P243, DOI 10.1016/S0308-521X(03)00128-8
   Douthwaite B, 2017, EVALUATION-US, V23, P294, DOI 10.1177/1356389017714382
   Faure G, 2020, RES EVALUAT, V29, P158, DOI 10.1093/reseval/rvz036
   Faure G, 2019, J INNOV ECON MANAG, P145, DOI 10.3917/jie.028.0145
   Faure G, 2018, AGR SYST, V165, P128, DOI 10.1016/j.agsy.2018.06.002
   Gates E, 2017, AM J EVAL, V38, P29, DOI 10.1177/1098214016644068
   Geels FW, 2007, RES POLICY, V36, P399, DOI 10.1016/j.respol.2007.01.003
   Hall A, 2010, J INT DEV, V22, P308, DOI 10.1002/jid.1690
   Hansen JW, 2019, FRONT SUSTAIN FOOD S, V3, DOI 10.3389/fsufs.2019.00021
   Hansen JW, 2002, AGR SYST, V74, P309, DOI 10.1016/S0308-521X(02)00043-4
   Johnson K, 2014, APPL GEOGR, V54, P209, DOI 10.1016/j.apgeog.2014.08.007
   Joly PB, 2015, RES EVALUAT, V24, P440, DOI 10.1093/reseval/rvv015
   Kirshen P. H., 2000, Natural Resources Forum, V24, P185
   Klerkx L, 2012, Farming Systems Research into the 21st Century: The New Dynamic, P457, DOI [DOI 10.1007/978-94-007-4503-220, DOI 10.1007/978-94-007-4503-2]
   Klerkx L, 2010, AGR SYST, V103, P390, DOI 10.1016/j.agsy.2010.03.012
   Lemos MC, 2002, CLIMATIC CHANGE, V55, P479, DOI 10.1023/A:1020785826029
   Lo HM, 2015, Impact assessment of communicating seasonal climate forecasts in Kaffrine, Diourbel, Louga, Thies and Fatick (Niakhar) regions in Senegal
   Lourenço TC, 2016, NAT CLIM CHANGE, V6, P13, DOI 10.1038/nclimate2836
   Maggio G, 2019, FOOD POLICY, V89, DOI 10.1016/j.foodpol.2019.101781
   Maredia MK, 2014, FOOD POLICY, V44, P214, DOI 10.1016/j.foodpol.2013.10.001
   Matt M, 2017, RES POLICY, V46, P207, DOI 10.1016/j.respol.2016.09.016
   Meadow AM, 2015, WEATHER CLIM SOC, V7, P179, DOI 10.1175/WCAS-D-14-00050.1
   Meynard JM, 2017, AGR SYST, V157, P330, DOI 10.1016/j.agsy.2016.08.002
   Ndiaye O, 2012, N. Banaitiene Risk Management-Current Issues and Challenges, P497
   Ndiaye O., 2013, HUNG NUTR CLIM JUST
   Ouedraogo I., 2017, CLIMATE INFORM SERVI
   Ouedraogo I, 2018, CLIMATE, V6, DOI 10.3390/cli6010013
   Patton M.Q., 2010, Developmental Evaluation: Applying Complexity Concepts to Enhance Innovation and Use
   Pigford AAE, 2018, AGR SYST, V164, P116, DOI 10.1016/j.agsy.2018.04.007
   Roudier P, 2014, CLIM RISK MANAG, V2, P42, DOI 10.1016/j.crm.2014.02.001
   Singh C, 2018, CLIM DEV, V10, P389, DOI 10.1080/17565529.2017.1318744
   Smits R, 2002, TECHNOL FORECAST SOC, V69, P861, DOI 10.1016/S0040-1625(01)00181-0
   Sultan B, 2020, CLIM SERV, V18, DOI 10.1016/j.cliser.2020.100166
   Sultan B, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/10/104006
   Sultan B, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.01262
   Sultan B, 2010, WEATHER CLIM SOC, V2, P69, DOI 10.1175/2009WCAS1022.1
   Tall A., 2014, Scaling up climate services for farmers: Learning from good practice in Africa and South Asia
   Tall A, 2018, CLIM SERV, V11, P1, DOI 10.1016/j.cliser.2018.06.001
   Traore SB, 2014, WEATHER CLIM EXTREME, V3, P22, DOI 10.1016/j.wace.2014.03.008
   Vaughan C, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.586
   Vogel C, 2019, CLIM SERV, V15, DOI 10.1016/j.cliser.2019.100107
   Waongo M, 2015, AGR FOREST METEOROL, V205, P23, DOI 10.1016/j.agrformet.2015.02.006
   Wigboldus S, 2016, AGRON SUSTAIN DEV, V36, DOI 10.1007/s13593-016-0380-z
   Wilson-Grau R, 2018, OUTCOME HARVESTING P
   Woltering L, 2019, AGR SYST, V176, DOI 10.1016/j.agsy.2019.102652
NR 60
TC 9
Z9 10
U1 0
U2 12
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2405-8807
J9 CLIM SERV
JI Clim. Serv.
PD APR
PY 2021
VL 22
AR 100216
DI 10.1016/j.cliser.2021.100216
EA FEB 2021
PG 15
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA SW8IV
UT WOS:000664759000004
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Gonzalez-Galvis, JP
   Narbaitz, RM
AF Gonzalez-Galvis, Juan Pablo
   Narbaitz, Roberto M.
TI Large batch bench-scale dissolved air flotation system for simulating
   full-scale turbidity removal
SO ENVIRONMENTAL TECHNOLOGY
LA English
DT Article
DE Dissolved air flotation (DAF); DAF bench-scale tests; turbidity removal;
   operating variable sensitivity; natural organic matter removal
AB One of the expected outcomes of global warming is increased algal and cyanobacterial blooms. Based on its ability to separate algal particles, dissolved air flotation (DAF) is considered as a climate change adaptation technology for water treatment. The feasibility of DAF treatment is often assessed using DAF jar tests; however, they are not particularly good at predicting a full-scale DAF system's turbidity removals. Therefore, our group has developed a more reliable larger-diameter/larger-volume batch apparatus (LB-DAF), which was optimized by comparison with a full-scale DAF plant treating a low turbidity, highly coloured river water (SUVA similar to 4.3). The objective of this study was to verify that the LB-DAF was capable of simulating full-scale DAF systems treating two significantly different waters. One was water from a large eutrophic bay in Lake Ontario (SUVA similar to 2.6) and the second was a river water (SUVA similar to 3.5). The turbidity removals achieved by the full-scale DAF systems treating these waters were compared with those for the LB-DAF tests conducted using different flocculation velocity gradients, saturated water pressures, recycle ratios and water depth to diameter ratios. The LB-DAF tests are good predictors of the full-scale DAF turbidity removals, the average difference for the two waters tested were 2% and 6%. The LB-DAF natural organic matter (NOM) removals for both waters differed by less than 1% from that measured at the corresponding treatment plants. In addition, as in our previous LB-DAF study, varying the different LB-DAF operational variables did not have a significant impact on turbidity and NOM removals.
C1 [Gonzalez-Galvis, Juan Pablo; Narbaitz, Roberto M.] Univ Ottawa, Dept Civil Engn, 161 Louis Pasteur Pvt, Ottawa, ON K1N 6N5, Canada.
   [Gonzalez-Galvis, Juan Pablo] Univ Santo Tomas Tunja, Fac Civil Engn, Tunja, Colombia.
C3 University of Ottawa; Universidad Santo Tomas USTA
RP Narbaitz, RM (corresponding author), Univ Ottawa, Dept Civil Engn, 161 Louis Pasteur Pvt, Ottawa, ON K1N 6N5, Canada.
EM narbaitz@uottawa.ca
OI Gonzalez-Galvis, Juan Pablo/0000-0002-3647-190X; Narbaitz,
   Roberto/0000-0001-8874-4132
FU Natural Sciences and Engineering Research Council of Canada (NSERC),
   Canada [RGPIN 2018-06571]; Universidad Santo Tomas Tunja -Colombia;
   COLCIENCIAS; COLFUTURO
FX This research was supported by Discovery Grant Program of the Natural
   Sciences and Engineering Research Council of Canada (NSERC), Canada
   (grant #RGPIN 2018-06571). The authors would like to thank the
   Universidad Santo Tomas Tunja -Colombia, COLCIENCIAS and COLFUTURO for
   their partial financial support of the lead author through their
   international doctoral scholarships.
CR Amy G, 2008, DESALINATION, V231, P44, DOI 10.1016/j.desal.2007.11.037
   APHA, 2017, Standard methods for the examination of water and wastewater, V23rd
   ARHEIMER B, 2005, AMBIO, V34
   Bache DH, 2001, WATER SCI TECHNOL, V43, P203, DOI 10.2166/wst.2001.0495
   Bickerton B. J., 2012, THESIS DALHOUSIE U H
   Bodo K., 1996, THESIS U ALBERTA EDM
   BRAUL L, 2001, WATER QUAL RES J, V36
   CHU W, 2011, BIORESOUR TECHNOL, V102
   Delpla I, 2009, ENVIRON INT, V35, P1225, DOI 10.1016/j.envint.2009.07.001
   Edzwald J., 2012, Dissolved air flotation for water clarification, p6.1
   Edzwald JK, 2006, INTERFACE SCI TECHNO, V10, P89, DOI 10.1016/S1573-4285(06)80075-X
   Edzwald JK, 2010, WATER RES, V44, P2077, DOI 10.1016/j.watres.2009.12.040
   Edzwald JK., 1992, DISSOLVED AIR FLOTAT
   Gonzalez-Galvis JP., 2019, THESIS U OTTAWA OTTA, DOI 10.20381/ruor-23583
   GONZALEZGALVIS JP, 2020, ENV SCI WATER RES TE, V6
   Govoreanu R, 2004, WATER SCI TECHNOL, V50, P39, DOI 10.2166/wst.2004.0693
   Hahn, 1996, CHEM WATER WASTEWATE
   Her N, 2004, WATER RES, V38, P1427, DOI 10.1016/j.watres.2003.12.008
   K AM, 2016, WATER SUPPLY, V16
   Karlson I., 1990, CHEM WATER WASTEWATE
   Klute, 1994, CHEM WATER WASTEWATE
   Leppinen DM, 2004, J WATER SUPPLY RES T, V53, P531, DOI 10.2166/aqua.2004.0042
   [LIU Shanpei 刘善培], 2007, [过程工程学报, The chinese journal of process engineering], V7, P283
   MacPhee MJ., 1996, AM WAT WORKS ASS ANN
   MAO R, 2013, DESALINATION, V314
   Moruzzi RB, 2014, BIOPROC BIOSYST ENG, V37, P2445, DOI 10.1007/s00449-014-1221-6
   Moruzzi RB, 2010, WATER SCI TECHNOL, V61, P253, DOI 10.2166/wst.2010.784
   Nicholls KH, 2011, AQUAT ECOSYST HEALTH, V14, P33, DOI 10.1080/14634988.2011.550847
   Nicholls KH, 2002, J GREAT LAKES RES, V28, P15, DOI 10.1016/S0380-1330(02)70559-5
   Rubio J, 2007, INT J ENVIRON POLLUT, V30, P197, DOI 10.1504/IJEP.2007.014700
   Shimoda Y, 2016, HARMFUL ALGAE, V55, P121, DOI 10.1016/j.hal.2016.02.005
   Sillanpää M, 2018, CHEMOSPHERE, V190, P54, DOI 10.1016/j.chemosphere.2017.09.113
   STHILAIRE A, 2016, CAN WATER RESOURJ, V41
   THURMAN EM, 1981, ENVIRON SCI TECHNOL, V15, P463, DOI 10.1021/es00086a012
   Valade MT, 1996, J AM WATER WORKS ASS, V88, P35
   VANLEUSSEN W, 1993, NETH J SEA RES, V31, P231, DOI 10.1016/0077-7579(93)90024-M
   Xiao F, 2009, DESALINATION, V237, P201, DOI 10.1016/j.desal.2007.12.033
   Zou J, 2011, APPL MECH MATER, V71-78, P2767, DOI 10.4028/www.scientific.net/AMM.71-78.2767
NR 38
TC 4
Z9 4
U1 0
U2 13
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 0959-3330
EI 1479-487X
J9 ENVIRON TECHNOL
JI Environ. Technol.
PD MAY 25
PY 2022
VL 43
IS 12
BP 1791
EP 1804
DI 10.1080/09593330.2020.1852317
EA DEC 2020
PG 14
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 0S9CJ
UT WOS:000596340100001
PM 33196379
OA Bronze
DA 2025-01-10
ER

PT J
AU Murdoch, A
   Mantyka-Pringle, C
   Sharma, S
AF Murdoch, Alyssa
   Mantyka-Pringle, Chrystal
   Sharma, Sapna
TI Impacts of co-occurring environmental changes on Alaskan stream fishes
SO FRESHWATER BIOLOGY
LA English
DT Article
DE climate change; interactions; management; northern; Pacific salmon
ID ARCTIC FRESH-WATER; CLIMATE-CHANGE; MULTIPLE STRESSORS; THERMAL
   TOLERANCE; HABITAT USE; SALMON; ECOLOGY; FUTURE; RIVER; GEOMORPHOLOGY
AB Freshwater fishes are now facing unprecedented environmental changes across their northern ranges, especially due to rapid warming occurring at higher latitudes. However, empirical research that examines co-occurring environmental effects on northern fish communities remains limited. We used fish community data from 1587 Alaskan stream sites to examine the potential combined and interacting effects of climate change, current weather, habitat, land use, and fire on two community-level metrics (species richness, relative abundance), and on the distributions of three Alaskan fish species. Our models were 71-76% accurate in predicting the distribution of Alaskan stream fishes using a combination of climate and habitat variables. In contrast to other freshwater ecosystems that are most threatened by land use pressures, we did not detect any evidence for the potential stress of anthropogenic land use or fire on stream fishes. Warming temperatures increased overall community richness and abundance but produced differing responses at the species level. Juvenile salmon presence was positively associated with several climate variables including warmer spring and autumn temperatures and wetter summers. In comparison, warmer seasonal temperatures contributed to declines for northern-adapted species such as Arctic grayling and Dolly Varden. This study highlights the overarching role of current and changing climate in regulating northern stream fish biodiversity. Although many fish species may benefit from climate change across their northern ranges, localised declines are likely to occur and may prove detrimental for communities with limited fishing portfolios. Climate change adaptation and mitigation strategies customised for rapidly changing northern ecosystems will play an essential role in preserving ecologically unique northern species.
C1 [Murdoch, Alyssa; Sharma, Sapna] York Univ, Dept Biol, Toronto, ON, Canada.
   [Mantyka-Pringle, Chrystal] Univ Saskatchewan, Sch Environm & Sustainabil, Saskatoon, SK, Canada.
   [Mantyka-Pringle, Chrystal] Wildlife Conservat Soc Canada, Whitehorse, YT, Canada.
C3 York University - Canada; University of Saskatchewan
RP Murdoch, A (corresponding author), York Univ, Dept Biol, Toronto, ON, Canada.
EM alyssamurdoch@gmail.com
OI Murdoch, Alyssa/0000-0003-0582-6584
FU Natural Sciences and Engineering Research Council of Canada [CGSD
   3-487477 - 2016]; Ontario Graduate Scholarship
FX Natural Sciences and Engineering Research Council of Canada, Grant/Award
   Number: CGSD 3-487477 - 2016; Ontario Graduate Scholarship
CR Abell R, 2008, BIOSCIENCE, V58, P403, DOI 10.1641/B580507
   Adelfio LA, 2019, CAN J FISH AQUAT SCI, V76, P1362, DOI 10.1139/cjfas-2018-0152
   AFFI-Alaska Freshwater Fish Inventory Database, 1973, AFF AL FRESHW FISH I
   [Anonymous], 2001, 02297 US GEOL SURV
   [Anonymous], 2024, Package 'MuMIn'-Multi-Model Inference
   Betts ED, 2015, HYDROL RES, V46, P578, DOI 10.2166/nh.2014.031
   Bieniek PA, 2014, J CLIMATE, V27, P2800, DOI 10.1175/JCLI-D-13-00342.1
   Bolker BM, 2009, TRENDS ECOL EVOL, V24, P127, DOI 10.1016/j.tree.2008.10.008
   Bradford MJ, 2008, CAN WATER RESOUR J, V33, P165, DOI 10.4296/cwrj3302165
   Bradford MJ, 2000, CAN J FISH AQUAT SCI, V57, P13, DOI 10.1139/cjfas-57-1-13
   Brown RJ, 2014, ARCTIC, V67, P149, DOI 10.14430/arctic4379
   Brucet S, 2013, FRESHWATER BIOL, V58, P1779, DOI 10.1111/fwb.12167
   Bryant MD, 2009, CLIMATIC CHANGE, V95, P169, DOI 10.1007/s10584-008-9530-x
   Bryant MD, 2004, T AM FISH SOC, V133, P1529, DOI 10.1577/T03-157.1
   CAFF (Conservation of Arctic Flora and Fauna), 2013, ARCTIC BIODIVERSITY
   Chapin F.S., 2014, CH 22 ALASKA CLIMATE, P514
   Christiansen J S., 2013, Arctic Biodiversity Assessment, P192
   Cline TJ, 2019, NAT ECOL EVOL, V3, P935, DOI 10.1038/s41559-019-0901-7
   Comte L, 2017, GLOBAL CHANGE BIOL, V23, P728, DOI 10.1111/gcb.13427
   COSEWIC, 2010, COS ASS STAT REP DOL
   CRAIG P C, 1989, Biological Papers of the University of Alaska, P27
   Crawford S., 2016, Through a Fish's Eye: The Status of Fish Habitats in the United States 2015
   Crozier LG, 2014, EVOL APPL, V7, P68, DOI 10.1111/eva.12135
   Cunningham CJ, 2018, GLOBAL CHANGE BIOL, V24, P4399, DOI 10.1111/gcb.14315
   Deegan LA, 1999, T AM FISH SOC, V128, P1163, DOI 10.1577/1548-8659(1999)128<1163:IOEVOT>2.0.CO;2
   Dunmall KM, 2016, CAN J FISH AQUAT SCI, V73, P1750, DOI 10.1139/cjfas-2016-0051
   Durand JR, 2011, ECOSPHERE, V2, DOI 10.1890/ES10-00111.1
   Eliason EJ, 2011, SCIENCE, V332, P109, DOI 10.1126/science.1199158
   Elith J., 2017, BOOSTED REGRESSION T
   Feld CK, 2016, SCI TOTAL ENVIRON, V573, P1320, DOI 10.1016/j.scitotenv.2016.06.243
   Fielding AH, 1997, ENVIRON CONSERV, V24, P38, DOI 10.1017/S0376892997000088
   Gelman A., 2018, arm: data analysis using regression and multilevel/hierarchical models
   Grueber CE, 2011, J EVOLUTION BIOL, V24, P699, DOI 10.1111/j.1420-9101.2010.02210.x
   Hasnain S.S., 2010, CCRR17 MIN NAT RES O
   Heim KC, 2016, ECOL FRESHW FISH, V25, P156, DOI 10.1111/eff.12199
   Heim KC, 2016, ENVIRON BIOL FISH, V99, P49, DOI 10.1007/s10641-015-0453-x
   Heino J, 2009, BIOL REV, V84, P39, DOI 10.1111/j.1469-185X.2008.00060.x
   HOLTBY LB, 1986, CAN J FISH AQUAT SCI, V43, P1946, DOI 10.1139/f86-240
   Jackson MC, 2016, GLOBAL CHANGE BIOL, V22, P180, DOI 10.1111/gcb.13028
   James G, 2013, SPRINGER TEXTS STAT, V103, P1, DOI 10.1007/978-1-4614-7138-7_1
   Johnson JB, 2004, TRENDS ECOL EVOL, V19, P101, DOI 10.1016/j.tree.2003.10.013
   Jones NE, 2003, ARCTIC, V56, P249, DOI 10.14430/arctic620
   Kokelj SV, 2013, J GEOPHYS RES-EARTH, V118, P681, DOI 10.1002/jgrf.20063
   Kovach RP, 2015, GLOBAL CHANGE BIOL, V21, P1821, DOI 10.1111/gcb.12829
   Leppi JC, 2014, GLOBAL CHANGE BIOL, V20, P1808, DOI 10.1111/gcb.12492
   Lisi PJ, 2015, GEOPHYS RES LETT, V42, P3380, DOI 10.1002/2015GL064083
   Mantua N, 2010, CLIMATIC CHANGE, V102, P187, DOI 10.1007/s10584-010-9845-2
   Mantyka-Pringle CS, 2013, GLOBAL CHANGE BIOL, V19, P1642, DOI 10.1111/gcb.12148
   Mauger S, 2017, CAN J FISH AQUAT SCI, V74, P702, DOI 10.1139/cjfas-2016-0076
   Munro A., 2018, FISHERY MANUSCRIPT S, V18-04
   Nakagawa S, 2017, J R SOC INTERFACE, V14, DOI 10.1098/rsif.2017.0213
   Neuswanger JR, 2015, CAN J FISH AQUAT SCI, V72, P1125, DOI 10.1139/cjfas-2014-0498
   Ohlberger J, 2016, ECOSPHERE, V7, DOI 10.1002/ecs2.1333
   Ormerod SJ, 2010, FRESHWATER BIOL, V55, P1, DOI 10.1111/j.1365-2427.2009.02395.x
   Piggott JJ, 2015, ECOL EVOL, V5, P1538, DOI 10.1002/ece3.1465
   Prowse TD, 2006, AMBIO, V35, P347, DOI 10.1579/0044-7447(2006)35[347:CCEOHO]2.0.CO;2
   Prucha R.L., 2011, Integrated Hydrologic Effects of Climate Change in the Chuitna Watershed
   Quinn T.P., 2004, BEHAV ECOLOGY PACIFI
   Reid AJ, 2019, BIOL REV, V94, P849, DOI 10.1111/brv.12480
   Reist JD, 2006, AMBIO, V35, P402, DOI 10.1579/0044-7447(2006)35[402:EOCCAU]2.0.CO;2
   Reist JD, 2006, AMBIO, V35, P381, DOI 10.1579/0044-7447(2006)35[381:AOOEOC]2.0.CO;2
   Reist JD, 2006, AMBIO, V35, P370, DOI 10.1579/0044-7447(2006)35[370:GEOCCO]2.0.CO;2
   Reynolds James B., 1997, Ecological Studies, V119, P281
   Ripley T, 2005, CAN J FISH AQUAT SCI, V62, P2431, DOI 10.1139/F05-150
   Rypel AL, 2017, ECOSPHERE, V8, DOI 10.1002/ecs2.1660
   Schindler DE, 2005, ECOLOGY, V86, P198, DOI 10.1890/03-0408
   Schoen ER, 2017, FISHERIES, V42, P538, DOI 10.1080/03632415.2017.1374251
   Shanley CS, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0104799
   Shuter BJ, 2012, AQUAT SCI, V74, P637, DOI 10.1007/s00027-012-0274-3
   SHUTER BJ, 1990, T AM FISH SOC, V119, P314, DOI 10.1577/1548-8659(1990)119<0314:CPVATZ>2.3.CO;2
   Sloat MR, 2017, GLOBAL CHANGE BIOL, V23, P604, DOI 10.1111/gcb.13466
   Stewart D. B., 2007, Canadian Manuscript Report of Fisheries and Aquatic Sciences, V2797, pV
   Stewart D. B., 2010, CAN MAN REP FISH AQU, V2915, pi
   Tillotson MD, 2017, FISH RES, V188, P138, DOI 10.1016/j.fishres.2016.12.013
   USEPA, 2003, EPA REGION 10 GUIDAN
   Van Kirk RW, 2001, WEST N AM NATURALIST, V61, P359
   Wang TL, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0156720
   Wedekind C, 2010, CONSERV BIOL, V24, P1418, DOI 10.1111/j.1523-1739.2010.01534.x
   Whitney JE, 2016, FISHERIES, V41, P332, DOI 10.1080/03632415.2016.1186656
   Wobus C, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0143905
   Wrona F., 2013, Arctic Biodiversity Assesment, P442
   Wrona F., 2005, ARCTIC CLIMATE IMPAC, P354
NR 82
TC 5
Z9 6
U1 2
U2 36
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0046-5070
EI 1365-2427
J9 FRESHWATER BIOL
JI Freshw. Biol.
PD OCT
PY 2020
VL 65
IS 10
BP 1685
EP 1701
DI 10.1111/fwb.13569
EA JUN 2020
PG 17
WC Ecology; Marine & Freshwater Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Marine & Freshwater Biology
GA NQ7RK
UT WOS:000544102800001
DA 2025-01-10
ER

PT J
AU Menk, L
   Neuwirth, C
   Kienberger, S
AF Menk, Linda
   Neuwirth, Christian
   Kienberger, Stefan
TI Mapping the Structure of Social Vulnerability Systems for Malaria in
   East Africa
SO SUSTAINABILITY
LA English
DT Article
DE malaria; vulnerability; integrated spatial modeling; East Africa; system
   dynamics; geons concept; relationships and dependencies; system
   relations
ID INDIAN-OCEAN DIPOLE; CLIMATE-CHANGE; HIGHLANDS; RISK; VALIDATION;
   DISEASE; MOVE
AB Millions of people fall ill with malaria every year-most of them are located in sub-Saharan Africa. The weight of the burden of malaria on a society is determined by a complex interplay of environmental and social factors, including poverty, awareness and education, among others. A substantial share of the affected population is characterized by a general lack of anticipation and coping capacities, which renders them particularly vulnerable to the disease and its adverse side effects. This work aims at identifying interdependencies and feedback mechanisms in the malaria social vulnerability system and their variations in space by combining concepts, methods and tools from Climate Change Adaptation, Spatial Analysis, and Statistics and System Dynamics. The developed workflow is applied to a selected set of social, economic and biological vulnerability indicators covering five East-African Nations. As the study areas' local conditions vary in a multitude of aspects, the social vulnerability system is assumed to vary accordingly throughout space. The study areas' spatial entities were therefore aggregated into three system-regions using correlation-based clustering. Their respective correlation structures are displayed as Causal Loop Diagrams (CLDs). While the three resulting CLDs do not necessarily display causal relations (as the set of social vulnerability indicators are likely linked through third variables and parts of the data are proxies), they give a good overview of the data, can be used as basis for discussions in participatory settings and can potentially enhance the understanding the malaria vulnerability system.
C1 [Menk, Linda; Neuwirth, Christian; Kienberger, Stefan] Paris Lodron Univ Salzburg, Interfac Dept Geoinformat Z GIS, Schillerstr 30, A-5020 Salzburg, Austria.
C3 Salzburg University
RP Menk, L (corresponding author), Paris Lodron Univ Salzburg, Interfac Dept Geoinformat Z GIS, Schillerstr 30, A-5020 Salzburg, Austria.
EM Linda.Menk@sbg.ac.at; Christian.Neuwirth@sbg.ac.at;
   Stefan.Kienberger@sbg.ac.at
OI Kienberger, Stefan/0000-0002-4800-4516
CR AHMAD S H, 1985, Indian Journal of Pediatrics, V52, P285, DOI 10.1007/BF02754860
   [Anonymous], 2016, WORLD MAL REP 2015
   [Anonymous], 2016, WORLD FACTBOOK
   Bates I, 2004, LANCET INFECT DIS, V4, P267, DOI 10.1016/S1473-3099(04)01002-3
   Béguin A, 2011, GLOBAL ENVIRON CHANG, V21, P1209, DOI 10.1016/j.gloenvcha.2011.06.001
   Beier JC, 1999, AM J TROP MED HYG, V61, P109, DOI 10.4269/ajtmh.1999.61.109
   Ben-Dor A, 1999, J COMPUT BIOL, V6, P281, DOI 10.1089/106652799318274
   Birkmann J, 2013, NAT HAZARDS, V67, P193, DOI 10.1007/s11069-013-0558-5
   Bizimana JP, 2016, GEOSPATIAL HEALTH, V11, P129, DOI 10.4081/gh.2016.404
   Bizimana JP, 2015, MALARIA J, V14, DOI 10.1186/1475-2875-14-2
   Bock T., WHAT IS HIERARCHICAL
   Bossel H., 2007, Systems and models: Complexity, dynamics, evolution, sustainability
   Buth M., 2017, Guidelines for Climate Impact and Vulnerability Assessments: Recommendations of the Interministerial Working Group on Adaptation to Climate Change of the German Federal Government
   Chaves LF, 2012, J INFECT DIS, V205, P1885, DOI 10.1093/infdis/jis289
   Croux C, 2010, STAT METHOD APPL-GER, V19, P497, DOI 10.1007/s10260-010-0142-z
   Dalton J, CAUSALLOOP TOOLS DYN
   Datta S, 2003, BIOINFORMATICS, V19, P459, DOI 10.1093/bioinformatics/btg025
   de Castro MC, 2012, MALARIA J, V11, DOI 10.1186/1475-2875-11-161
   Doolan DL, 2009, CLIN MICROBIOL REV, V22, P13, DOI 10.1128/CMR.00025-08
   Egri A., 2017, P IEEE 21 INT C INT
   ELSAMANI FZ, 1987, J TROP MED HYG, V90, P69
   Fritzsche K., 2017, Risk Supplement: How to apply the approach with the IPCC AR5 risk concept
   Fritzsche K., 2014, The Vulnerability Sourcebook: Concept and Guidelines for Standardised Vulnerability Assessments
   Gallup JL, 2001, AM J TROP MED HYG, V64, P85, DOI 10.4269/ajtmh.2001.64.85
   Gething PW, 2011, MALARIA J, V10, DOI 10.1186/1475-2875-10-378
   Greiving S, 2015, INT J CLIM CHANG STR, V7, P306, DOI 10.1108/IJCCSM-11-2013-0124
   Hagenlocher M, 2015, POPUL HEALTH METR, V13, DOI 10.1186/s12963-015-0036-2
   Hagenlocher M, 2014, GI FORUM 2014: GEOSPATIAL INNOVATION FOR SOCIETY, P197, DOI 10.1553/giscience2014s197
   Hagenlocher M, 2013, INT J HEALTH GEOGR, V12, DOI 10.1186/1476-072X-12-36
   Hamilton A.C., 1989, Forest conservation in the East Usambara mountains, Tanzania, P97
   Hammond A. L., 1995, Environmental indicators: a systematic approach to measuring and reporting on environmental policy performance in the context of sustainable development, V36
   Hashizume M, 2009, P NATL ACAD SCI USA, V106, P1857, DOI 10.1073/pnas.0806544106
   Hauke J, 2011, QUAEST GEOGR, V30, P87, DOI 10.2478/v10117-011-0021-1
   Healthy Futures, 2011, FAQ FEEDB
   HENDRICKSE RG, 1971, ANN TROP MED PARASIT, V65, P1
   Himeidan YE, 2012, FRONT PHYSIOL, V3, DOI 10.3389/fphys.2012.00315
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Kassambara A., FACTOEXTRA EXTRACT V
   Kienberger S., 2016, GI Forum, V1, P167, DOI DOI 10.1553/GISCIENCE2016_01_S167
   Kienberger S, 2014, INT J HEALTH GEOGR, V13, DOI 10.1186/1476-072X-13-29
   Lang S., 2008, GI FORUM
   Lang S, 2014, CARTOGR GEOGR INF SC, V41, P214, DOI 10.1080/15230406.2014.902755
   Lindsay SW, 1998, B WORLD HEALTH ORGAN, V76, P33
   Martens P, 2000, EMERG INFECT DIS, V6, P103, DOI 10.3201/eid0602.000202
   Matson A. T., 1957, East African Medical Journal, V34, P431
   Menk L, 2019, MAPPING VULNERABILIT
   Mouchet J, 1998, B SOC PATHOL EXOT, V91, P64
   Murtagh F, 2014, J CLASSIF, V31, P274, DOI 10.1007/s00357-014-9161-z
   Njama D, 2003, TROP MED INT HEALTH, V8, P685, DOI 10.1046/j.1365-3156.2003.01060.x
   Olabisi Laura Schmitt, 2018, Environment Systems & Decisions, V38, P23, DOI 10.1007/s10669-017-9653-6
   Onyango EA, 2016, MALARIA J, V15, DOI 10.1186/s12936-016-1600-3
   Pascual M, 2006, P NATL ACAD SCI USA, V103, P5829, DOI 10.1073/pnas.0508929103
   Pindolia DK, 2013, MALARIA J, V12, DOI 10.1186/1475-2875-12-397
   Protopopoff N, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0008022
   Rome E., 2019, Critical Infrastructure Security and Resilience: Theories, Methods, Tools and Technologies, Advanced Sciences and Technologies for Security Applications, P55, DOI [10.1007/978-3-030-00024-0_4, DOI 10.1007/978-3-030-00024-04]
   ROUSSEEUW PJ, 1987, J COMPUT APPL MATH, V20, P53, DOI 10.1016/0377-0427(87)90125-7
   Schwarze R, 2015, SPRINGER CLIMATE, P29, DOI 10.1007/978-3-319-12457-5_3
   Steininger Karl W., 2016, Climate Services, V1, P39, DOI 10.1016/j.cliser.2016.02.003
   Thacker S, 2018, RISK ANAL, V38, P134, DOI 10.1111/risa.12839
   TOBLER WR, 1970, ECON GEOGR, V46, P234, DOI 10.2307/143141
   UN-Habitat, 2010, World's 10 Best Cities for Outdoor Dining
   Vincent K, 2014, GEOGR COMPASS, V8, P1, DOI 10.1111/gec3.12105
   WARD JH, 1963, J AM STAT ASSOC, V58, P236, DOI 10.2307/2282967
   WHO, 2018, World malaria report 2018
   Worrall E, 2005, TROP MED INT HEALTH, V10, P1047, DOI 10.1111/j.1365-3156.2005.01476.x
   Xu D., 2015, ANN DATA SCI, V2, P165, DOI DOI 10.1007/S40745-015-0040-1
   Yared Legesse Yared Legesse, 2007, Ethiopian Journal of Health Development, V21, P157
   ,, 2007, Climate change 2007: Synthesis Report. Contribution of Working Group I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Summary for Policymakers
NR 68
TC 1
Z9 1
U1 1
U2 8
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JUN
PY 2020
VL 12
IS 12
AR 5112
DI 10.3390/su12125112
PG 19
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA ML1FF
UT WOS:000549220100001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Arora, G
   Feng, HL
   Anderson, CJ
   Hennessy, DA
AF Arora, Gaurav
   Feng, Hongli
   Anderson, Christopher J.
   Hennessy, David A.
TI Evidence of climate change impacts on crop comparative advantage and
   land use
SO AGRICULTURAL ECONOMICS
LA English
DT Article
DE climate change adaptation; crop comparative advantage; grasslands;
   Northern Great Plains; yield-weather models; Q15; Q54; Q57
ID WARMING TEMPERATURES; DROUGHT; CORN; AGRICULTURE; ADAPTATION; YIELDS;
   FLUCTUATIONS; VARIABILITY; GRASSLANDS; ECONOMICS
AB Relative agricultural productivity shocks emerging from climate change will alter regional cropland use. Land allocations are sensitive to crop profits that in turn depend on yield effects induced by changes in climate and technology. We develop and apply an integrated framework to assess the impact of climate change on agricultural productivity and land use for the U.S. Northern Great Plains. Crop-specific yield-weather models reveal crop comparative advantage due to differential yield impacts of weather across the region's major crops, that is, alfalfa, wheat, soybeans, and maize. We define crop profits as a function of the weather-driven yields, which are then used to model land use allocation decisions. This ultimately allows us to simulate the impact of climate change under the RCP4.5 emissions scenario on land allocated to the region's major crops as well as to grass/pasture. Upon removing the trends effects in yields, climate change is projected to lower yields by 33-64% over 2031-2055 relative to 1981-2005, with soybean being the least and alfalfa the most affected crops. Yield projections applied to the land use model at present-day input costs and output prices reveals that Dakotas' grass acreage will increase by up to 23%, displacing croplands. Wheat acreage is expected to increase by up to 54% in select southeastern counties of North Dakota and South Dakota, where maize/soy acreage had increased by up to 58% during 1995-2016.
C1 [Arora, Gaurav] Indraprastha Inst Informat Technol, Dept Social Sci & Humanities, New Delhi, India.
   [Feng, Hongli; Hennessy, David A.] Michigan State Univ, Dept Agr Food & Resource Econ, E Lansing, MI 48824 USA.
   [Anderson, Christopher J.] SkyDoc LLC, Ames, IA USA.
C3 Indraprastha Institute of Information Technology Delhi; Michigan State
   University
RP Arora, G (corresponding author), Indraprastha Inst Informat Technol Delhi, Dept Social Sci & Humanities, New Delhi, India.
EM gaurav@iiitd.ac.in
RI Anderson, Christopher/AAF-2875-2021; Feng, Hongli/A-1662-2013
OI Feng, Hongli/0000-0001-7553-8145
FU Elton R. Smith Endowment, Michigan State University; North Central
   Climate Change Center, U.S. Geological Survey
FX Elton R. Smith Endowment, Michigan State University; North Central
   Climate Change Center, U.S. Geological Survey
CR Attavanich W, 2014, CLIMATIC CHANGE, V124, P747, DOI 10.1007/s10584-014-1128-x
   Burke M, 2015, REV ECON STAT, V97, P461, DOI 10.1162/REST_a_00478
   Butler EE, 2013, NAT CLIM CHANGE, V3, P68, DOI [10.1038/NCLIMATE1585, 10.1038/nclimate1585]
   Cabas J, 2010, CLIMATIC CHANGE, V101, P599, DOI 10.1007/s10584-009-9754-4
   Cho SJ, 2017, SCI REP-UK, V7, DOI 10.1038/srep40845
   Choi YS, 2017, INT J CLIMATOL, V37, P1595, DOI 10.1002/joc.4799
   D'Agostino AL, 2016, AGR ECON-BLACKWELL, V47, P159, DOI 10.1111/agec.12315
   Davenport F, 2018, CLIMATIC CHANGE, V147, P491, DOI 10.1007/s10584-018-2149-7
   Deschênes O, 2007, AM ECON REV, V97, P354, DOI 10.1257/aer.97.1.354
   Edenhofer O., 2014, CLIMATE CHANGE 2014, P134
   Falk B, 1998, AM J AGR ECON, V80, P696, DOI 10.2307/1244057
   Feng HL, 2013, AM J AGR ECON, V95, P412, DOI 10.1093/ajae/aas112
   Gardner BL., 2002, HOW IT FLOURISHED AND WHAT IT COSTS
   Gelfand I, 2011, P NATL ACAD SCI USA, V108, P13864, DOI 10.1073/pnas.1017277108
   Greene W., 2008, Econometric analysis
   GRILICHES Z, 1960, SCIENCE, V132, P275, DOI 10.1126/science.132.3422.275
   Heim RR, 2002, B AM METEOROL SOC, V83, P1149, DOI 10.1175/1520-0477-83.8.1149
   Hendricks NP, 2014, AM J AGR ECON, V96, P1469, DOI 10.1093/ajae/aau024
   Kaminski J, 2013, AM J AGR ECON, V95, P70, DOI 10.1093/ajae/aas075
   KARL TR, 1986, J CLIM APPL METEOROL, V25, P77, DOI 10.1175/1520-0450(1986)025<0077:TSOTPD>2.0.CO;2
   Kim H, 2018, LAND ECON, V94, P593, DOI 10.3368/le.94.4.593
   Kucharik CJ, 2006, AGRON J, V98, P1544, DOI 10.2134/agronj2006.0156
   Lark TJ, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/4/044003
   Liang XZ, 2017, P NATL ACAD SCI USA, V114, pE2285, DOI 10.1073/pnas.1615922114
   Liu B, 2016, NAT CLIM CHANGE, V6, P1130, DOI 10.1038/NCLIMATE3115
   Lusk JL., 2018, Agricultural productivity and producer behavior, P11, DOI [10.3386/w23519, DOI 10.3386/W23519]
   Massetti E., 2016, 2016 AM EC ASS ANN M
   MENDELSOHN R, 1994, AM ECON REV, V84, P753
   Moore FC, 2014, NAT CLIM CHANGE, V4, P610, DOI [10.1038/nclimate2228, 10.1038/NCLIMATE2228]
   Mu JHE, 2018, LAND USE POLICY, V77, P392, DOI 10.1016/j.landusepol.2018.05.057
   Mu JHE, 2017, CLIMATIC CHANGE, V144, P329, DOI 10.1007/s10584-017-2033-x
   Mu JHE, 2013, MITIG ADAPT STRAT GL, V18, P713, DOI 10.1007/s11027-012-9384-4
   OLMSTEAD A, 2008, CREAT AB BIOL INN
   Ortiz-Bobea A, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aat4343
   Ortiz-Bobea A, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aae9b8
   Otto CRV, 2016, P NATL ACAD SCI USA, V113, P10430, DOI 10.1073/pnas.1603481113
   Rashford BS, 2016, REG ENVIRON CHANGE, V16, P515, DOI 10.1007/s10113-015-0768-3
   Rashford BS, 2011, CONSERV BIOL, V25, P276, DOI 10.1111/j.1523-1739.2010.01618.x
   Schlenker W, 2006, REV ECON STAT, V88, P113, DOI 10.1162/rest.2006.88.1.113
   Schlenker W, 2005, AM ECON REV, V95, P395, DOI 10.1257/0002828053828455
   Schlenker W, 2009, P NATL ACAD SCI USA, V106, P15594, DOI 10.1073/pnas.0906865106
   Schubert SD, 2004, J CLIMATE, V17, P485, DOI 10.1175/1520-0442(2004)017<0485:COLDIT>2.0.CO;2
   Shafer M., 2014, CLIMATE CHANGE IMPAC, P441, DOI [10.7930/J0D798BC, DOI 10.7930/J0D798BC, 10.7930/J0D798BC.]
   SNYDER RL, 1985, AGR FOREST METEOROL, V35, P353, DOI 10.1016/0168-1923(85)90095-4
   Tack J, 2018, AGR ECON-BLACKWELL, V49, P635, DOI 10.1111/agec.12448
   Tack J, 2015, P NATL ACAD SCI USA, V112, P6931, DOI 10.1073/pnas.1415181112
   Tack J, 2014, CLIMATIC CHANGE, V125, P489, DOI 10.1007/s10584-014-1185-1
   THOMPSON LM, 1975, SCIENCE, V188, P535, DOI 10.1126/science.188.4188.535
   Urban D, 2012, CLIMATIC CHANGE, V112, P525, DOI 10.1007/s10584-012-0428-2
   Wang T., 2015, COWHERD EXPANSION AD
   WELCH BL, 1947, BIOMETRIKA, V34, P28, DOI 10.1093/biomet/34.1-2.28
   Wimberly MC, 2017, LAND USE POLICY, V63, P160, DOI 10.1016/j.landusepol.2017.01.026
   Wright CK, 2013, P NATL ACAD SCI USA, V110, P4134, DOI 10.1073/pnas.1215404110
   Wu JJ, 2004, AM J AGR ECON, V86, P26, DOI 10.1111/j.0092-5853.2004.00560.x
   Xu Z, 2013, CROP SCI, V53, P735, DOI 10.2135/cropsci2012.06.0399
   Yang S, 2007, J APPL METEOROL CLIM, V46, P136, DOI 10.1175/JAM2455.1
   Yu TA, 2010, AM J AGR ECON, V92, P1310, DOI 10.1093/ajae/aaq074
NR 57
TC 30
Z9 32
U1 9
U2 64
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0169-5150
EI 1574-0862
J9 AGR ECON-BLACKWELL
JI Agric. Econ.
PD MAR
PY 2020
VL 51
IS 2
BP 221
EP 236
DI 10.1111/agec.12551
EA FEB 2020
PG 16
WC Agricultural Economics & Policy; Economics
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture; Business & Economics
GA KR3OA
UT WOS:000517269600001
DA 2025-01-10
ER

PT J
AU Aziz, F
   Obuobie, E
   Sylla, MB
   Jeong, J
   Daggupati, P
AF Aziz, Fati
   Obuobie, Emmanuel
   Sylla, Mouhamadou Bamba
   Jeong, Jaehak
   Daggupati, Prasad
TI Trends and projections of climate extremes in the Black Volta River
   Basin in West Africa
SO THEORETICAL AND APPLIED CLIMATOLOGY
LA English
DT Article
ID FUTURE CLIMATE; PRECIPITATION; TEMPERATURE; SIMULATIONS; ENSEMBLE;
   INDEXES; CMIP5; MODEL
AB This study used the RClimDex software to examine trends in extreme air temperature and rainfall in the Black Volta River Basin (BVRB) for the present (1981-2010) and future 2051-2080 (late twenty-first century) horizons. The analysis of the future extreme events was conducted using data output of four ensemble models for two IPCC emission scenarios, Representative Concentration Pathways (RCPs) 4.5 and 8.5. A bias correction method, the quantile-quantile (Q-Q) transformation technique, was applied to all the modelled temperature and rainfall data set prior to the index calculation. The results of analysis of the present-day climate indicate warming and wetting of the BVRB. Increasing trends were seen in the extreme warm indices while the extreme cold indices showed mostly decreasing trends. Majority of the trends observed in the indices were statistically significant (95% confidence level). The extremes in rainfall also showed increasing trends in amounts and intensity of rainfall events (majority of increasing trends were statistically insignificant). Projected temperatures for the late twenty-first century showed decreasing and increasing trends in the cold and warm indices respectively, suggesting warming during the period. Trend analysis of future rainfall projections mostly showed a mix of positive and negative trends offering no clear indication of the direction of change in majority of the extreme rainfall indices. An increase in extremely wet day events is however projected for the period. The results from this study could inform climate change adaptation strategies targeted at reducing vulnerability and building resilience to extreme weather events in the BVRB.
C1 [Aziz, Fati] Univ Abomey Calavi, Lab Hydrol Appl, Abomey Calavi, Benin.
   [Obuobie, Emmanuel] CSIR, Water Res Inst, Accra, Ghana.
   [Sylla, Mouhamadou Bamba] WASCAL Competence Ctr, West African Sci Serv Ctr Climate Change & Adapt, Ouagadougou, Burkina Faso.
   [Jeong, Jaehak] Texas A&M AgriLife Res, Blackland Res & Extens Ctr, Temple, TX USA.
   [Daggupati, Prasad] Univ Guelph, Sch Engn, Guelph, ON, Canada.
C3 University of Abomey Calavi; Texas A&M University System; Texas A&M
   University College Station; Texas A&M AgriLife Research; University of
   Guelph
RP Aziz, F (corresponding author), Univ Abomey Calavi, Lab Hydrol Appl, Abomey Calavi, Benin.
EM fatiaziz17@gmail.com
RI Jeong, Jaehak/AAQ-6940-2021; Daggupati, Prasad/D-8886-2017; AZIZ,
   FATI/LKM-2521-2024
OI Sylla, Mouhamadou Bamba/0000-0002-5566-0538
FU German Federal Ministry of Education and Research (BMBF) through the
   West African Science Service Centre on Climate Change and Adapted Land
   Use (WASCAL)
FX The authors would like to thank the German Federal Ministry of Education
   and Research (BMBF) for providing the funds for this research through
   the West African Science Service Centre on Climate Change and Adapted
   Land Use (WASCAL; www.wascal.org). Thanks to Dr. Osumane Seidou of the
   University of Ottawa, Canada, for providing the CORDEX data used in this
   study. Our thanks also go to the Meteorological Agencies in Ghana and
   Burkina Faso for providing the observed meteorological data for the
   Black Volta Basin.
CR Abatan AA, 2016, INT J CLIMATOL, V36, P2527, DOI 10.1002/joc.4510
   Abiodun BJ, 2013, REG ENVIRON CHANGE, V13, P477, DOI 10.1007/s10113-012-0381-7
   Alexander LV, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006290
   Allen MR, 2002, NATURE, V419, P224, DOI 10.1038/nature01092
   Angelina A, 2015, HYDROLOG SCI J, V60, P1709, DOI 10.1080/02626667.2014.916407
   [Anonymous], CONTRIBUTION WORKING, DOI [DOI 10.1017/CBO9781107415324, 10.1017/CBO9781107415324]
   Barry B., 2005, The Volta River Basin: Comprehensive assessment of water management in agriculture
   Boko M, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P433
   Chen SC, 1999, J GEOPHYS RES-ATMOS, V104, P31517, DOI 10.1029/1998JD200043
   Choi G, 2009, INT J CLIMATOL, V29, P1906, DOI 10.1002/joc.1979
   Climate and Development Knowledge Network (CDKN), 2015, 2014 IPCCS 5 ASS REP
   Dosio A, 2015, CLIM DYNAM, V44, P2637, DOI 10.1007/s00382-014-2262-x
   Durman CF, 2001, Q J ROY METEOR SOC, V127, P1005, DOI 10.1002/qj.49712757316
   Endris HS, 2016, CLIM DYNAM, V46, P2821, DOI 10.1007/s00382-015-2734-7
   Frich P, 2002, CLIMATE RES, V19, P193, DOI 10.3354/cr019193
   Gbode IE., 2015, Int J Atmos Sci, V2015, P1, DOI [10.1155/2015/298046, DOI 10.1155/2015/298046]
   Giorgi F., 2009, Bulletin - World Meteorological Organization, V58, P175
   Hartmann DL, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P159
   Jones C., 2011, CLIVAR exchanges, V16, P34
   Kim JW, 2014, CLIM DYNAM, V42, P957, DOI 10.1007/s00382-013-1730-z
   Klein Tank A.M.G., 2009, Guidelines on Analysis of Extremes in a Changing Climate in Support of Informed Decisions for Adaptation
   Klutse NAB, 2016, THEOR APPL CLIMATOL, V123, P369, DOI 10.1007/s00704-014-1352-3
   Kruger AC, 2013, INT J CLIMATOL, V33, P661, DOI 10.1002/joc.3455
   Ly M, 2013, WEATHER CLIM EXTREME, V1, P19, DOI 10.1016/j.wace.2013.07.005
   Maraun D, 2010, REV GEOPHYS, V48, DOI 10.1029/2009RG000314
   Maraun D, 2016, CURR CLIM CHANGE REP, V2, P211, DOI 10.1007/s40641-016-0050-x
   MARINUCCI MR, 1992, J GEOPHYS RES-ATMOS, V97, P9989, DOI 10.1029/92JD00615
   Mekasha A, 2014, INT J CLIMATOL, V34, P1990, DOI 10.1002/joc.3816
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Murphy J, 1999, J CLIMATE, V12, P2256, DOI 10.1175/1520-0442(1999)012<2256:AEOSAD>2.0.CO;2
   New M, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006289
   Nikulin G, 2012, J CLIMATE, V25, P6057, DOI 10.1175/JCLI-D-11-00375.1
   Orlowsky B, 2012, CLIMATIC CHANGE, V110, P669, DOI 10.1007/s10584-011-0122-9
   Oyebande L., 2010, Open Hydrology Journal, V4, P163, DOI 10.2174/1874378101004010163
   Paeth H, 2011, ATMOS SCI LETT, V12, P75, DOI 10.1002/asl.306
   Panitz HJ, 2014, CLIM DYNAM, V42, P3015, DOI 10.1007/s00382-013-1834-5
   Peel MC, 2007, HYDROL EARTH SYST SC, V11, P1633, DOI 10.5194/hess-11-1633-2007
   Pinto I, 2016, CLIMATIC CHANGE, V135, P655, DOI 10.1007/s10584-015-1573-1
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Sarr B., 2011, AGRHYMET MONTHLY B S, V20, P9, DOI http://www.agrhymet.ne/PDF/Bulletin%20mensuel/specialChCang.pdf
   Sarr MA, 2015, J HYDROL-REG STUD, V4, P369, DOI 10.1016/j.ejrh.2015.06.005
   Sillmann J, 2013, J GEOPHYS RES-ATMOS, V118, P2473, DOI 10.1002/jgrd.50188
   Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1
   Sylla MB, 2016, CLIMATE CHANGE W AFR, DOI [10.1007/978-3-319-31499-0, DOI 10.1007/978-3-319-31499-0]
   Ta S, 2016, ADV METEOROL, V2016, DOI 10.1155/2016/1940456
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Themessl MJ, 2011, INT J CLIMATOL, V31, P1530, DOI 10.1002/joc.2168
   Tschakert P, 2010, CLIMATIC CHANGE, V103, P471, DOI 10.1007/s10584-009-9776-y
   Xu ZF, 2015, J GEOPHYS RES-ATMOS, V120, P3063, DOI 10.1002/2014JD022958
   Zhang X., 2004, Climate Research Branch Environment Canada, V22
   Zhang XB, 2011, WIRES CLIM CHANGE, V2, P851, DOI 10.1002/wcc.147
NR 51
TC 6
Z9 6
U1 0
U2 11
PU SPRINGER WIEN
PI WIEN
PA SACHSENPLATZ 4-6, PO BOX 89, A-1201 WIEN, AUSTRIA
SN 0177-798X
EI 1434-4483
J9 THEOR APPL CLIMATOL
JI Theor. Appl. Climatol.
PD JUL
PY 2019
VL 137
IS 1-2
BP 513
EP 532
DI 10.1007/s00704-018-2609-z
PG 20
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA IJ2MA
UT WOS:000475737500038
DA 2025-01-10
ER

PT J
AU Zullo, F
   Fazio, G
   Romano, B
   Marucci, A
   Fiorini, L
AF Zullo, Francesco
   Fazio, Gianluca
   Romano, Bernardino
   Marucci, Alessandro
   Fiorini, Lorena
TI Effects of urban growth spatial pattern (UGSP) on the land surface
   temperature (LST): A study in the Po Valley (Italy)
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE LST; Urban growth spatial pattern; GIS analysis; Urban climate change;
   Lowland urbanisation
ID HEAT-ISLAND; CLIMATE VARIABILITY; METROPOLITAN-AREA; GREEN; POLICY;
   CITIES; FRAGMENTATION; URBANIZATION; ENVIRONMENT; SHANGHAI
AB Sealed surfaces greatly influence Urban Heat Island (UHI) effects. In this respect, both the composition and spatial patterns of anthropogenic land use play an important role in local thermal pattern. The urban environments' climate change adaptation strategy needs adequate knowledge systems urban planners can use to organise and design more resistant and resilient urban spaces. This study examined the relationship between Land Surface Temperature (LST) variations and increasing urbanised areas during the period 2001-2011 in the Po Valley, utilising different urban growth spatial patterns (UGSP). Remotely sensed LST data was obtained from MODIS (MODerate Resolution Imaging Spectroradiometer) at a resolution of 1 km/pixel for an 11 year-period, from 2001 to 2011, with urbanisation data from the ISTAT map (nominal scale 1:10,000) respectively for the 2001 and 2011 time sections. The relationship between dependent (mean annual daytime, nighttime and daily values) and independent (urbanised areas) variables were investigated through ANOVA test and post-hoc analysis (p < 0.01) for all defined UGSP. Results showed that there is a decreasing LST range (in all conditions) associated with progressive increase of urbanised areas. Furthermore, clustered patterns urban growth have a statistically significant relationship with daytime, nighttime and daily conditions while dispersed pattern urban growth have the same with nighttime only. The outcomes are helpful for understanding the effects of different UGSP, which have significant implications for urban planning, and identifying the critical territorial sectors in need of sustainable mitigation actions. (C) 2018 Elsevier B.V. All rights reserved.
C1 [Zullo, Francesco; Romano, Bernardino; Marucci, Alessandro; Fiorini, Lorena] Univ Aquila, Dept Civil Construct Architectural & Environm Eng, Laquila, Italy.
   [Fazio, Gianluca] Univ Aquila, Dept Life Hlth & Environm Sci, Laquila, Italy.
C3 University of L'Aquila; University of L'Aquila
RP Zullo, F (corresponding author), Univ Aquila, Dept Civil Construct Architectural & Environm Eng, Laquila, Italy.
EM francesco.zullo@univaq.it
RI Zullo, Francesco/T-4413-2019; Marucci, Alessandro/AAM-2679-2020;
   Fiorini, Lorena/G-9966-2019
OI Zullo, Francesco/0000-0002-9124-0776; Fiorini,
   Lorena/0000-0002-3071-9644
CR Angel S, 2012, ENVIRON URBAN, V24, P249, DOI 10.1177/0956247811433536
   Ao XY, 2016, J APPL METEOROL CLIM, V55, P2451, DOI 10.1175/JAMC-D-16-0082.1
   Barrington-Leigh C, 2015, P NATL ACAD SCI USA, V112, P8244, DOI 10.1073/pnas.1504033112
   Battista G, 2016, ENRGY PROCED, V101, P1058, DOI 10.1016/j.egypro.2016.11.134
   Battista G, 2016, ENERG BUILDINGS, V133, P446, DOI 10.1016/j.enbuild.2016.10.004
   Bechtel B, 2016, INT ARCH PHOTOGRAMM, V41, P243, DOI 10.5194/isprsarchives-XLI-B8-243-2016
   Bechtel B., 2013, P JURSE 2013, DOI [10.1109/JURSE.2013.6550673, DOI 10.1109/JURSE.2013.6550673]
   Bechtel B, 2012, IEEE GEOSCI REMOTE S, V9, P876, DOI 10.1109/LGRS.2012.2185034
   Bonafoni S, 2017, JOINT URB REMOTE SEN
   Bonafoni S, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9081308
   Bozzola M, 2014, ENVIRON SCI POLICY, V43, P26, DOI 10.1016/j.envsci.2013.12.002
   Brivio P. A., 2001, REMOTE SENSING CLIMA
   Castellari S., 2014, ELEMENTI STRATEGIA N
   Chen W, 2017, REMOTE SENS-BASEL, V9, DOI 10.3390/rs9050453
   Ciccarelli N, 2008, GLOBAL PLANET CHANGE, V63, P185, DOI 10.1016/j.gloplacha.2008.03.006
   Coppola E, 2014, SCI TOTAL ENVIRON, V493, P1183, DOI 10.1016/j.scitotenv.2014.03.003
   de Munck C, 2018, URBAN CLIM, V23, P260, DOI 10.1016/j.uclim.2017.01.003
   Dwivedi Aparna., 2018, REMOTE SENS APPL, V10, P56, DOI [DOI 10.1016/J.RSASE.2018.01.003, 10.1016/j.rsase.2018.01.]
   EEA, 2006, 102006 EEA
   Ewing R., 2008, Urban Ecology
   Georgi JN, 2010, BUILD ENVIRON, V45, P1401, DOI 10.1016/j.buildenv.2009.12.003
   Gunawardena KR, 2017, SCI TOTAL ENVIRON, V584, P1040, DOI 10.1016/j.scitotenv.2017.01.158
   Haase D, 2007, LANDSCAPE URBAN PLAN, V80, P1, DOI 10.1016/j.landurbplan.2006.03.011
   Hamada S, 2010, URBAN FOR URBAN GREE, V9, P15, DOI 10.1016/j.ufug.2009.10.002
   Huang M, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10041101
   Keramitsoglou I, 2011, REMOTE SENS ENVIRON, V115, P3080, DOI 10.1016/j.rse.2011.06.014
   Kim H, 2016, SCI TOTAL ENVIRON, V571, P355, DOI 10.1016/j.scitotenv.2016.05.046
   Kong FH, 2014, LANDSCAPE URBAN PLAN, V128, P35, DOI 10.1016/j.landurbplan.2014.04.018
   Li DM, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080736
   Li JX, 2011, REMOTE SENS ENVIRON, V115, P3249, DOI 10.1016/j.rse.2011.07.008
   Lin PY, 2017, LANDSCAPE URBAN PLAN, V168, P48, DOI 10.1016/j.landurbplan.2017.09.024
   Liu H, 2009, PHOTOGRAMM ENG REM S, V75, P291, DOI 10.14358/PERS.75.3.291
   Macintyre HL, 2018, SCI TOTAL ENVIRON, V610, P678, DOI 10.1016/j.scitotenv.2017.08.062
   McCarthy MP, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL042845
   Morabito M, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10010026
   Morabito M, 2016, SCI TOTAL ENVIRON, V551, P317, DOI 10.1016/j.scitotenv.2016.02.029
   Nguyen OV, 2015, ENVIRON MONIT ASSESS, V187, DOI 10.1007/s10661-015-4691-3
   Odli ZSM, 2016, MATEC WEB CONF, V78, DOI 10.1051/matecconf/20167801100
   Paleari S, 2017, LAND USE POLICY, V64, P163, DOI 10.1016/j.landusepol.2017.02.007
   Privitera R, 2018, EUR PLAN STUD, V26, P812, DOI 10.1080/09654313.2018.1426735
   Richts A, 2016, ENVIRON EARTH SCI, V75, DOI 10.1007/s12665-016-5632-3
   Romano B, 2017, LAND USE POLICY, V67, P387, DOI 10.1016/j.landusepol.2017.06.006
   Romano B, 2016, URBAN RES PRACT, V9, P109, DOI 10.1080/17535069.2015.1077885
   Rozos E, 2013, WATER SCI TECH-W SUP, V13, P1534, DOI 10.2166/ws.2013.140
   Santamouris M, 2013, RENEW SUST ENERG REV, V26, P224, DOI 10.1016/j.rser.2013.05.047
   Shahmohamadi P., 2010, WSEAS Transactions on Environment and Development, V6, P754
   Sharma A, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/6/064004
   Smidt SJ, 2018, J ENVIRON MANAGE, V217, P677, DOI 10.1016/j.jenvman.2018.03.042
   Squires G. D., 2002, URBAN SPRAWL CAUSES, P368
   Stocker, 2014, CLIMATE CHANGE 2013
   Synnefa A, 2008, J APPL METEOROL CLIM, V47, P2846, DOI 10.1175/2008JAMC1830.1
   The Worldwatch Institute, 2007, STAT WORLD OUR URB F, P250
   Tomozeiu R, 2006, CLIMATE RES, V31, P217, DOI 10.3354/cr031217
   Vezzoli R, 2015, SCI TOTAL ENVIRON, V521, P346, DOI 10.1016/j.scitotenv.2015.03.096
   Voogt JA, 2003, REMOTE SENS ENVIRON, V86, P370, DOI 10.1016/S0034-4257(03)00079-8
   Wong KV, 2013, J ENERG RESOUR-ASME, V135, DOI 10.1115/1.4023176
   Xu X, 2018, SCI TOTAL ENVIRON, V624, P1561, DOI 10.1016/j.scitotenv.2017.12.143
   Xu YM, 2010, J INDIAN SOC REMOTE, V38, P654, DOI 10.1007/s12524-011-0073-7
   Yang P, 2013, J APPL METEOROL CLIM, V52, P1803, DOI 10.1175/JAMC-D-12-0125.1
   Yin CH, 2018, SCI TOTAL ENVIRON, V634, P696, DOI 10.1016/j.scitotenv.2018.03.350
   [岳文泽 Yue Wenze], 2013, [生态学报, Acta Ecologica Sinica], V33, P1852
   Zhang KX, 2010, ENVIRON MONIT ASSESS, V169, P101, DOI 10.1007/s10661-009-1154-8
   Zhang YJ, 2017, LANDSCAPE URBAN PLAN, V165, P162, DOI 10.1016/j.landurbplan.2017.04.009
NR 63
TC 62
Z9 64
U1 3
U2 181
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD FEB 10
PY 2019
VL 650
BP 1740
EP 1751
DI 10.1016/j.scitotenv.2018.09.331
PN 2
PG 12
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA GX6LB
UT WOS:000447871400009
PM 30273733
DA 2025-01-10
ER

PT J
AU Ghazavi, R
   Ebrahimi, H
AF Ghazavi, Reza
   Ebrahimi, Haidar
TI Predicting the impacts of climate change on groundwater recharge in an
   arid environment using modeling approach
SO INTERNATIONAL JOURNAL OF CLIMATE CHANGE STRATEGIES AND MANAGEMENT
LA English
DT Article
DE Climate change; Arid environment; Groundwater recharge; LARS; MODFLOW
ID RESOURCES; RAINFALL; AQUIFER; SYSTEM
AB Purpose Groundwater is an important source of water supply in arid and semi-arid areas. The purpose of this study is to predict the impact of climate change on groundwater recharge in an arid environment in Ilam Province, west of Iran. Design/methodology/approach A three-dimensional transient groundwater flow model (modular finite difference groundwater FLOW model: MODFLOW) was used to simulate the impacts of three climate scenarios (i.e. an average of a long-term rainfall, predicted rainfall in 2015-2030 and three years moving average rainfall) on groundwater recharge and groundwater levels. Various climate scenarios in Long Ashton Research Station Weather Generator were applied to predict weather data. Findings HadCM3 climatic model and A2 emission scenario were selected as the best methods for weather data generation. Based on the results of these models, annual precipitation will decrease by 3 per cent during 2015-2030. For three emission scenarios, i.e. an average of a long-term rainfall, predicted rainfall in 2015-2030 and three years moving average rainfall, precipitation in 2030 is estimated to be 265, 257 and 247 mm, respectively. For the studied aquifer, predicted recharge will decrease compared to recharge calculated based on the average of long-term rainfall. Originality/value The decline of groundwater level in the study area was 11.45 m during the past 24 years or 0.48 m/year. Annual groundwater depletion should increase to 0.75 m in the coming 16 years via climate change. Climate change adaptation policies in the basin should include changing the crop type, as well as water productivity and irrigation efficiency enhancement at the farm and regional scales.
C1 [Ghazavi, Reza; Ebrahimi, Haidar] Univ Kashan, Fac Nat Resources & Earth Sci, Dept Watershed Management, Kashan, Iran.
C3 University Kashan
RP Ghazavi, R (corresponding author), Univ Kashan, Fac Nat Resources & Earth Sci, Dept Watershed Management, Kashan, Iran.
EM ghazavi@kashanu.ac.ir
FU University of Kashan
FX This work was supported by the University of Kashan. The authors are
   grateful to the University for their generous support.
CR Ajami H, 2012, GROUND WATER, V50, P585, DOI 10.1111/j.1745-6584.2011.00881.x
   Alexander D., 2007, IMPACTS CLIMATE CHAN
   [Anonymous], WATER RESOUR RES J
   Bates B., 2008, Climate change and water, DOI DOI 10.1029/90EO00112
   Bhattacharya A. K., 2010, International Journal of Research and Reviews in Applied Sciences, V4, P214
   Brouyère S, 2004, HYDROGEOL J, V12, P123, DOI 10.1007/s10040-003-0293-1
   Dibike YB, 2005, J HYDROL, V307, P145, DOI 10.1016/j.jhydrol.2004.10.012
   Ebrahimi H, 2016, WATER RESOUR MANAG, V30, P1939, DOI 10.1007/s11269-016-1261-6
   Ghazavi R, 2012, WATER RESOUR MANAG, V26, P1651, DOI 10.1007/s11269-012-9977-4
   Ghazavi R, 2010, WATER RESOUR MANAG, V24, P2781, DOI 10.1007/s11269-010-9579-y
   Gohari A, 2013, J HYDROL, V491, P23, DOI 10.1016/j.jhydrol.2013.03.021
   Goudarzi E., 2015, ECOPERSIA, V3, P83
   Hanson RT, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR010774
   Huntingford C, 2003, Q J ROY METEOR SOC, V129, P1607, DOI 10.1256/qj.02.97
   Kumar C., 2012, International Journal of Engineering and Science, V1, P43
   MahabGhods Consulting Engineers, 1992, STUD PROJ UT SOIL WA, P320
   Mahat V, 2013, HYDROL EARTH SYST SC, V17, P4941, DOI 10.5194/hess-17-4941-2013
   Mayer TD, 2008, GROUND WATER, V46, P212, DOI 10.1111/j.1745-6584.2007.00381.x
   Mirzavand M, 2015, WATER RESOUR MANAG, V29, P1315, DOI 10.1007/s11269-014-0875-9
   Panwar S, 2013, CURR SCI INDIA, V105, P37
   Randall D.A., 2007, CONTRIBUTION WORKING, P73
   Ranjan P, 2006, GLOBAL ENVIRON CHANG, V16, P388, DOI 10.1016/j.gloenvcha.2006.03.006
   Reddy KS, 2014, CURR SCI INDIA, V107, P54
   Refsgaard JC, 2010, GROUND WATER, V48, P633, DOI 10.1111/j.1745-6584.2009.00634.x
   Toews MW, 2009, ENVIRON RES LETT, V4, P1
   Woldeamlak ST, 2007, HYDROGEOL J, V15, P891, DOI 10.1007/s10040-006-0145-x
   Wyatt CJW, 2015, GROUNDWATER, V53, P207, DOI 10.1111/gwat.12184
   Yusoff I, 2002, GEOL SOC SPEC PUBL, V193, P325, DOI 10.1144/GSL.SP.2002.193.01.24
NR 28
TC 25
Z9 26
U1 3
U2 23
PU EMERALD GROUP PUBLISHING LTD
PI BINGLEY
PA HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND
SN 1756-8692
EI 1756-8706
J9 INT J CLIM CHANG STR
JI Int. J. Clim. Chang. Strateg. Manag.
PD JAN 14
PY 2019
VL 11
IS 1
BP 88
EP 99
DI 10.1108/IJCCSM-04-2017-0085
PG 12
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA HF8QG
UT WOS:000454506700006
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Meldrum, G
   Padulosi, S
   Lochetti, G
   Robitaille, R
   Diulgheroff, S
AF Meldrum, Gennifer
   Padulosi, Stefano
   Lochetti, Gaia
   Robitaille, Rose
   Diulgheroff, Stefano
TI Issues and Prospects for the Sustainable Use and Conservation of
   Cultivated Vegetable Diversity for More Nutrition-Sensitive Agriculture
SO AGRICULTURE-BASEL
LA English
DT Article
DE traditional crops; cultivated vegetables; neglected and underutilized
   species; nutrition; climate change adaptation
ID CLIMATE-CHANGE IMPACTS; FOOD SECURITY; GREEN-REVOLUTION; LEAFY
   VEGETABLES; TRADITIONAL VEGETABLES; GENETIC-RESOURCES; CROPPING SYSTEMS;
   NUTRIENT CONTENT; GOOGLE SCHOLAR; WATER-USE
AB Traditional vegetables are key assets for supporting more nutrition-sensitive agriculture under climate change as many have lower water requirements, adaptation to poor quality soils, higher resistance to pests and diseases, and higher nutritional values as compared to global vegetables. The effective use of traditional vegetables can be challenged however by lack of information and poor conservation status. This study reviewed the uses, growth forms and geographic origins of cultivated vegetables worldwide and the levels of research, ex situ conservation, and documentation they have received in order to identify gaps and priorities for supporting more effective use of global vegetable diversity. A total of 1097 vegetables were identified in a review of the Mansfeld Encyclopedia of Agricultural and Horticultural Plants, including species used for leaves (n = 495), multiple vegetative parts (n = 227), roots (n = 204), fruits or seeds (n = 90), and other parts like flowers, inflorescences, and stems (n = 81). Root vegetables have received significantly less research attention than other types of vegetable. Therophytes (annuals) have received significantly more attention from research and conservation efforts than vegetables with other growth forms, while vegetables originating in Africa (n = 406) and the Asian-Pacific region (n = 165) are notably neglected. Documentation for most vegetable species is poor and the conservation of many vegetables is largely realized on farm through continued use. Supportive policies are needed to advance research, conservation, and documentation of neglected vegetable species to protect and further their role in nutrition-sensitive agriculture.
C1 [Meldrum, Gennifer; Padulosi, Stefano; Lochetti, Gaia; Robitaille, Rose] Biovers Int, Hlth Diets Sustainable Prod Syst Initiat, Via Tre Denari 472-a, I-00054 Maccarese, Italy.
   [Diulgheroff, Stefano] Food & Agr Org United Nations, Plant Prod & Protect Div, Viale Terme Caracalla, I-00153 Rome, Italy.
C3 Alliance; Bioversity International; Food & Agriculture Organization of
   the United Nations (FAO)
RP Meldrum, G (corresponding author), Biovers Int, Hlth Diets Sustainable Prod Syst Initiat, Via Tre Denari 472-a, I-00054 Maccarese, Italy.
EM g.meldrum@cgiar.org; s.padulosi@cgiar.org; g.lochetti@cgiar.org;
   r.robitaille@cgiar.org; Stefano.Diulgheroff@fao.org
OI Meldrum, Gennifer/0000-0003-2280-3333
FU European Commission; International Fund for Agricultural Development
   [2000000978]; CGIAR Research Programmes on Agriculture for Nutrition and
   Health (A4NH); Climate Change, Agriculture and Food Security (CCAFS)
FX This research was carried out in the framework of the project "Linking
   Agro biodiversity Value Chains Climate Adaptation and Nutrition:
   Empowering the Poor to Manage Risk" with funding from the European
   Commission and the International Fund for Agricultural Development
   (Grant 2000000978) and the CGIAR Research Programmes on Agriculture for
   Nutrition and Health (A4NH) and Climate Change, Agriculture and Food
   Security (CCAFS).
CR Afolayan AJ, 2009, INT J FOOD SCI NUTR, V60, P424, DOI 10.1080/09637480701777928
   African Orphan Crops Consortium, MEET CROPS
   Cruz-Cruz CA, 2013, RESOURCES-BASEL, V2, P73, DOI 10.3390/resources2020073
   Anderson W, 2015, GLOBAL ECOL BIOGEOGR, V24, P180, DOI 10.1111/geb.12243
   [Anonymous], 2017, AGR FOOD SEC, DOI [10.1186/s40066-017-0142-4, DOI 10.1186/S40066-017-0142-4]
   [Anonymous], BRIT J NUTR
   [Anonymous], PLANT GENETIC RESOUR
   [Anonymous], 2001, MANSFELDS ENCY AGR H
   [Anonymous], FRESH FRUIT VEG PROG
   [Anonymous], INDIGENOUS VEGETABLE
   [Anonymous], 2007, AFR J FOOD AGR NUTR
   [Anonymous], AGR R D INDICATORS F
   [Anonymous], AGR R D INDICATORS F
   [Anonymous], PROMOTING CONSERVATI
   [Anonymous], BIOL CLASSIFICATION
   [Anonymous], ROUTLEDGE HDB AGR BI
   [Anonymous], 2020, HLTH DIET
   [Anonymous], 2015, FIGHT HUNGER MALNUTR
   [Anonymous], PLANT ENV DEV
   [Anonymous], PROD FOOD BAL LAND U
   [Anonymous], AFR J FOOD AGR NUTR
   [Anonymous], HOME GARDENS IN SITU
   [Anonymous], LOST CROPS AFR VEG
   [Anonymous], UGANDA CONTRIBUTION
   [Anonymous], CONSERVATION TROPICA
   [Anonymous], THESIS
   [Anonymous], AFRICAN INDIGENOUS V
   [Anonymous], AGR R D INDICATORS F
   [Anonymous], 2015, J SCI INNOVATIVE RES
   [Anonymous], 2013, GRAIN, DOI DOI 10.7771/2380-176X.2737
   [Anonymous], POTENTIAL INDIG WILD
   [Anonymous], HORTICULTURE BASED A
   [Anonymous], VEG DIV IMPR
   [Anonymous], 1934, Plant life forms
   Arora R K., 2014, Diversity in underutilized plant species - an Asia-Pacific perspective
   Asbjornsen H, 2014, RENEW AGR FOOD SYST, V29, P101, DOI 10.1017/S1742170512000385
   Baldermann S, 2016, CRIT REV PLANT SCI, V35, P106, DOI 10.1080/07352689.2016.1201399
   Bandula A, 2016, PROC FOOD SCI, V6, P267, DOI 10.1016/j.profoo.2016.02.049
   Bharucha Z, 2010, PHILOS T R SOC B, V365, P2913, DOI 10.1098/rstb.2010.0123
   Carney PA, 2012, J COMMUN HEALTH, V37, P874, DOI 10.1007/s10900-011-9522-z
   Cayuela L, 2012, METHODS ECOL EVOL, V3, P1078, DOI 10.1111/j.2041-210X.2012.00232.x
   Chagomoka T, 2017, RENEW AGR FOOD SYST, V32, P5, DOI 10.1017/S1742170515000484
   Chagomoka T, 2014, INT FOOD AGRIBUS MAN, V17, P59
   Chivenge P, 2015, INT J ENV RES PUB HE, V12, P5685, DOI 10.3390/ijerph120605685
   Chongtham N, 2011, COMPR REV FOOD SCI F, V10, P153, DOI 10.1111/j.1541-4337.2011.00147.x
   Chorol S, 2018, INDIAN J TRADIT KNOW, V17, P191
   Davis DR, 2009, HORTSCIENCE, V44, P15, DOI 10.21273/HORTSCI.44.1.15
   Davis DR, 2004, J AM COLL NUTR, V23, P669, DOI 10.1080/07315724.2004.10719409
   Dawson IK, 2013, BIODIVERS CONSERV, V22, P301, DOI 10.1007/s10531-012-0429-5
   DAY RW, 1989, ECOL MONOGR, V59, P433, DOI 10.2307/1943075
   Costa ACD, 2016, BRAZ J BOT, V39, P833, DOI 10.1007/s40415-016-0281-z
   Devaux A, 2014, POTATO RES, V57, P185, DOI 10.1007/s11540-014-9265-1
   Dinham B, 2003, PEST MANAG SCI, V59, P575, DOI 10.1002/ps.654
   Dulloo ME, 2010, NOT BOT HORTI AGROBO, V38, P123
   Ebert AW, 2014, SUSTAINABILITY-BASEL, V6, P319, DOI 10.3390/su6010319
   Elia A, 2013, ITAL J AGRON, V8, P21, DOI 10.4081/ija.2013.e4
   Evenson RE, 2003, SCIENCE, V300, P758, DOI 10.1126/science.1078710
   FAO, 2018, Future smart food: Rediscovering hidden treasures of neglected and underutilized species for zero hunger in Asia, executive summary
   Ferraro V, 2016, CRIT REV FOOD SCI, V56, P2714, DOI 10.1080/10408398.2014.922045
   Flores HE, 2003, HORTSCIENCE, V38, P161, DOI 10.21273/HORTSCI.38.2.161
   Flyman MV, 2006, S AFR J BOT, V72, P492, DOI 10.1016/j.sajb.2006.02.003
   Fowler C, 2004, ANNU REV ENV RESOUR, V29, P143, DOI 10.1146/annurev.energy.29.062403.102203
   GALHENA Dilrukshi Hashini, 2013, Agriculture & Food Security, V2
   Galluzzi G, 2014, SUSTAINABILITY-BASEL, V6, P980, DOI 10.3390/su6020980
   Games P.A., 1976, J. Educ. Stat, V1, P113, DOI [10.3102/10769986001002113, DOI 10.2307/1164979, 10.2307/1164979, DOI 10.3102/10769986001002113]
   Gotor E., 2010, Impact Assessment and Project Appraisal, V28, P41, DOI 10.3152/146155110X488817
   Govaerts R., 2000, WORLD CHECKLIST BIBL, V1
   Grivetti LE, 2000, NUTR RES REV, V13, P31, DOI 10.1079/095442200108728990
   Haddad L, 2016, NATURE, V540, P30, DOI 10.1038/540030a
   Halevi G, 2017, J INFORMETR, V11, P823, DOI 10.1016/j.joi.2017.06.005
   Hall JN, 2009, AM J PREV MED, V36, P402, DOI 10.1016/j.amepre.2009.01.029
   Harzing AW, 2016, SCIENTOMETRICS, V106, P787, DOI 10.1007/s11192-015-1798-9
   Hawkes C., 2017, Urbanization and the Nutrition Transition, DOI [10.2499/9780896292529, DOI 10.2499/9780896292529, 10.2499/9780896292529_04]
   Headey DD, 2016, AGR SYST, V149, P122, DOI 10.1016/j.agsy.2016.09.001
   Hoi PV, 2016, INT J AGR SUSTAIN, V14, P325, DOI 10.1080/14735903.2015.1134395
   Hughes J.D.A., 2011, Acta Horticult, V2, P79, DOI [DOI 10.17660/ACTAHORTIC.2013.979.5, 10.17660/ActaHortic.2013.979.5]
   Hurtado M, 2014, GENET RESOUR CROP EV, V61, P787, DOI 10.1007/s10722-013-0073-2
   Järvelä-Reijonen E, 2016, APPETITE, V103, P249, DOI 10.1016/j.appet.2016.04.023
   Jose S, 2009, AGROFOREST SYST, V76, P1, DOI 10.1007/s10457-009-9229-7
   Kadiyala S, 2014, ANN NY ACAD SCI, V1331, P43, DOI 10.1111/nyas.12477
   Kalwij JM, 2012, J VEG SCI, V23, P998, DOI 10.1111/j.1654-1103.2012.01407.x
   Kamga R. Tchientche, 2013, Journal of Horticultural Research, V21, P99, DOI 10.2478/johr-2013-0014
   KAYS SJ, 1995, ECON BOT, V49, P115, DOI 10.1007/BF02862917
   Keatinge JDH, 2011, FOOD SECUR, V3, P491, DOI 10.1007/s12571-011-0150-3
   Khoo HE, 2011, MOLECULES, V16, P1710, DOI 10.3390/molecules16021710
   Khoshbakht K, 2008, J AGR RURAL DEV TROP, V109, P181
   Khoshbakht K, 2008, GENET RESOUR CROP EV, V55, P925, DOI 10.1007/s10722-008-9368-0
   Kolahdooz F, 2013, J HUM NUTR DIET, V26, P570, DOI 10.1111/jhn.12068
   Kuti J.O., 1996, Progress in new crops, P516
   Lee A, 2016, LANCET GLOB HEALTH, V4, pE664, DOI 10.1016/S2214-109X(16)30206-6
   Legwaila G. M., 2011, Journal of Horticulture and Forestry, V3, P171
   Lim SS, 2012, LANCET, V380, P2224, DOI 10.1016/S0140-6736(12)61766-8
   Liu RH, 2013, ADV NUTR, V4, p384S, DOI 10.3945/an.112.003517
   Luoh JenWen Luoh JenWen, 2014, Food and Nutrition Sciences, V5, P812, DOI 10.4236/fns.2014.59091
   Malhotra SK, 2017, INDIAN J AGR SCI, V87, P12
   Maseko I, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10010016
   Mbow C, 2014, CURR OPIN ENV SUST, V6, P8, DOI 10.1016/j.cosust.2013.09.002
   McDowell JZ, 2012, GLOBAL ENVIRON CHANG, V22, P342, DOI 10.1016/j.gloenvcha.2011.11.002
   McKey D, 2010, NEW PHYTOL, V186, P318, DOI 10.1111/j.1469-8137.2010.03210.x
   Meyer RS, 2012, NEW PHYTOL, V196, P29, DOI 10.1111/j.1469-8137.2012.04253.x
   Miller V, 2016, LANCET GLOB HEALTH, V4, pE695, DOI 10.1016/S2214-109X(16)30186-3
   Murray CJL, 2013, JAMA-J AM MED ASSOC, V310, P591, DOI 10.1001/jama.2013.13805
   Negi S., 2015, International Journal of Managing Value Supply Chains, V6, P47, DOI [10.5121/ijmvsc.2015.6205, DOI 10.5121/IJMVSC.2015.6205]
   Nyadanu D, 2015, GENET RESOUR CROP EV, V62, P131, DOI 10.1007/s10722-014-0162-x
   Padulosi S, 2014, SUSTAINABILITY-BASEL, V6, P1283, DOI 10.3390/su6031283
   Pingali PL, 2012, P NATL ACAD SCI USA, V109, P12302, DOI 10.1073/pnas.0912953109
   Plazibat I., 2016, Business Excellence, V10, P169
   Popkin BM, 2015, CURR DIABETES REP, V15, DOI 10.1007/s11892-015-0631-4
   Quintas-Soriano C, 2016, LAND USE POLICY, V54, P534, DOI 10.1016/j.landusepol.2016.03.011
   Ramankutty N, 2004, EARTH INTERACT, V8
   Rop O, 2012, MOLECULES, V17, P6672, DOI 10.3390/molecules17066672
   Rubatzky VE., 1997, World vegetables: principles, production, and nutritive values
   Salvi J., 2016, Int. J. Botany Stud, V1, P32
   Sánchez-Mata MC, 2012, GENET RESOUR CROP EV, V59, P431, DOI 10.1007/s10722-011-9693-6
   Schiattone MI, 2018, SCI HORTIC-AMSTERDAM, V229, P182, DOI 10.1016/j.scienta.2017.10.036
   Schönfeldt HC, 2011, J FOOD COMPOS ANAL, V24, P1141, DOI 10.1016/j.jfca.2011.04.004
   Schreinemachers P, 2018, GLOB FOOD SECUR-AGR, V16, P36, DOI 10.1016/j.gfs.2017.09.005
   Shultz M, 2007, J MED LIBR ASSOC, V95, P442, DOI 10.3163/1536-5050.95.4.442
   Siegel KR, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0104059
   Sileshi GW, 2012, AGRON J, V104, P1392, DOI 10.2134/agronj2012.0063
   Slavin JL, 2012, ADV NUTR, V3, P506, DOI 10.3945/an.112.002154
   Snyder RL, 2017, HORTICULTURAE, V3, DOI 10.3390/horticulturae3020027
   Sogbohossou EOD, 2018, HORTIC RES-ENGLAND, V5, DOI 10.1038/s41438-017-0001-2
   Springmann M, 2016, LANCET, V387, P1937, DOI 10.1016/S0140-6736(15)01156-3
   Thorlakson T., 2012, Agric. Food Secur, V1, P1, DOI DOI 10.1186/2048-7010-1-15
   Toledo A, 2006, J FOOD COMPOS ANAL, V19, P477, DOI 10.1016/j.jfca.2006.05.001
   Tripathi A, 2016, AGR ECOSYST ENVIRON, V216, P356, DOI 10.1016/j.agee.2015.09.034
   Tweddle JC, 2003, J ECOL, V91, P294, DOI 10.1046/j.1365-2745.2003.00760.x
   Ulrich A, 2014, SUSTAINABILITY-BASEL, V6, P336, DOI 10.3390/su6010336
   Uusiku NP, 2010, J FOOD COMPOS ANAL, V23, P499, DOI 10.1016/j.jfca.2010.05.002
   van Jaarsveld P, 2014, J FOOD COMPOS ANAL, V33, P77, DOI 10.1016/j.jfca.2013.11.003
   Verchot L. V., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P901, DOI 10.1007/s11027-007-9105-6
   Victor M., 2016, AM J FOOD SCI NUTR R, V3, P177
   Virchow D, 2016, ACTA HORTIC, V1128, P291, DOI 10.17660/ActaHortic.2016.1128.44
   Walters C, 2013, SCIENCE, V339, P915, DOI 10.1126/science.1230935
   Warren E, 2015, FOOD POLICY, V53, P54, DOI 10.1016/j.foodpol.2015.03.004
   Weinberger K, 2007, WORLD DEV, V35, P1464, DOI 10.1016/j.worlddev.2007.05.002
   Yang R.-Y. Keding., 2009, African Indigenous Vegetables in Urban Agriculture
   Zeven A.C., 1975, Dictionary of cultivated plants and their centres of diversity, P1
NR 139
TC 20
Z9 20
U1 0
U2 19
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2077-0472
J9 AGRICULTURE-BASEL
JI Agriculture-Basel
PD JUL
PY 2018
VL 8
IS 7
AR 112
DI 10.3390/agriculture8070112
PG 21
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA GO4VO
UT WOS:000440015400026
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Mabon, L
   Tung, NS
   Dung, NTK
   Tram, PT
   Nga, CTT
   Quynh, LT
   Trung, DT
   Thu, NTH
   Nguyet, NTB
   Ngoc, LH
   Tuyet, TT
   Tu, BTC
   Anh, TN
   Mueller-Hirth, N
   Yuill, C
AF Mabon, Leslie
   Nguyen Song Tung
   Nguyen Thi Kim Dung
   Pham Thi Tram
   Cao Thi Thanh Nga
   Le Thu Quynh
   Dang Thanh Trung
   Nguyen Thi Huyen Thu
   Nguyen Thi Bich Nguyet
   Le Hong Ngoc
   Tran Thi Tuyet
   Bui Thi Cam Tu
   Tran Ngoc Anh
   Mueller-Hirth, Natascha
   Yuill, Chris
TI Bringing social and cultural considerations into environmental
   management for vulnerable coastal communities: Responses to
   environmental change in Xuan Thuy National Park, Nam Dinh Province,
   Vietnam
SO OCEAN & COASTAL MANAGEMENT
LA English
DT Article
DE Climate change adaptation; Ecosystem-based adaptation; Vulnerability
   assessment; Wellbeing; Xuan Thuy National Park
ID ECOSYSTEM-BASED ADAPTATION; CLIMATE-CHANGE; GENDER; BIODIVERSITY;
   RESILIENCE; CHALLENGES; DISASTER; LESSONS; HEALTH; DURBAN
AB This paper elaborates the importance of considering social and cultural factors within management responses to environmental change in coastal areas. The case study taken is Xuan Thuy National Park in Nam Dinh Province, Vietnam. This is a marginalised coastal area where rising sea levels, increasing storm surges and saltwater intrusion place pressure on coastal ecosystems, yet where communities continue to rely on these same ecosystems for agriculture- and aquaculture-related livelihoods. We interview stakeholders in Xuan Thuy National Park, connecting these with a narrative review of existing research into social and environmental change in the park to understand research gaps and challenges for vulnerable coastal areas like the Nam Dinh coast. Based on our findings, we suggest that whilst the effects of a changing environment on physical health and economic activity are increasingly well understood, effects on wellbeing and social relations can be even more immediate and profound in daily living. In turn, we argue environmental management has a crucial role to play not only for ecosystem-based adaptation, but also in sustaining wellbeing and allowing culturally meaningful practices to continue especially in coastal regions where changes can be even more intense and immediate. However, we caution that whilst techno-scientific solutions grounded in environmental management do have significant potential in reducing impacts of extreme events and slower-onset environmental changes, they must not divert attention away from structural issues that can make some people or areas more vulnerable in the first instance.
C1 [Mabon, Leslie; Mueller-Hirth, Natascha; Yuill, Chris] Robert Gordon Univ, Sch Appl Social Studies, Aberdeen AB10 7QG, Scotland.
   [Nguyen Song Tung; Nguyen Thi Kim Dung; Pham Thi Tram; Cao Thi Thanh Nga; Le Thu Quynh; Dang Thanh Trung; Nguyen Thi Huyen Thu; Nguyen Thi Bich Nguyet; Le Hong Ngoc; Tran Thi Tuyet; Bui Thi Cam Tu; Tran Ngoc Anh] Vietnam Acad Social Sci, Inst Human Geog, 1 Lieu Giai, Hanoi, Vietnam.
C3 Robert Gordon University
RP Mabon, L (corresponding author), Robert Gordon Univ, Sch Appl Social Studies, Aberdeen AB10 7QG, Scotland.
EM l.j.mabon@rgu.ac.uk
RI Nguyen, Tien/ABG-9395-2020; Trung, Nguyen/JGM-3997-2023; Nguyen,
   Dung/HTS-5682-2023; Tran, Tuyet/KEH-3020-2024; Mabon,
   Leslie/JDW-8621-2023
OI Mabon, Leslie/0000-0003-2646-6119; Mueller-Hirth,
   Natascha/0000-0003-0578-4484; Le, Ngoc/0000-0002-6021-3775
FU British Academy International Partnership and Mobility [IPM160249];
   Scottish Funding Council Global Challenges Research Fund Official
   Development Assistance funds
FX The research on which this paper was based was possible through a
   British Academy International Partnership and Mobility grant (number
   IPM160249) held by Dr Leslie Mabon and Dr Nguyen Song Tung; and Scottish
   Funding Council Global Challenges Research Fund Official Development
   Assistance funds allocated to Robert Gordon University and subsequently
   assigned by the university to Dr Leslie Mabon. The authors are grateful
   to the residents of Xuan Thuy National Park and the governors of Xuan
   Thuy National Park and Nam Dinh Province for participating in the
   research.
CR Adger W N., 2004, New indicators of vulnerability and adaptive capacity, V7
   Adger WN, 2000, ANN ASSOC AM GEOGR, V90, P738, DOI 10.1111/0004-5608.00220
   Adger WN, 2002, AMBIO, V31, P358, DOI 10.1639/0044-7447(2002)031[0358:MRLTAS]2.0.CO;2
   Adger WN, 1999, WORLD DEV, V27, P249, DOI 10.1016/S0305-750X(98)00136-3
   Adger WN, 1999, J DEV STUD, V35, P96, DOI 10.1080/00220389908422593
   Aguilera SE, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0118992
   Allen KM, 2006, DISASTERS, V30, P81, DOI 10.1111/j.1467-9523.2006.00308.x
   [Anonymous], 2015, THESIS
   [Anonymous], 2018, J RISK RES, DOI DOI 10.1080/13669877.2016.1240706
   [Anonymous], IND LOC KNOWL IPBES
   [Anonymous], J ENV PLAN MANAGE
   [Anonymous], 2006, THERES NO SUCH THING
   Asian Development Bank, 2013, VIET NAM ENV CLIM CH
   Béland M, 2006, INT J REMOTE SENS, V27, P1491, DOI 10.1080/01431160500406888
   Blomberg J., 1993, PARTICIPATORY DESIGN, P123, DOI DOI 10.1201/9780203744338-7
   Boaventura de Sousa Santos, 2014, EPISTEMOLOGIES S JUS
   Boyes SJ, 2014, MAR POLLUT BULL, V86, P39, DOI 10.1016/j.marpolbul.2014.06.055
   Bryman A., 2016, Social Research Methods, V5th
   Byrne J, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/9/095014
   Cassells G, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/4/044002
   Chang SE, 2015, NAT HAZARDS, V78, P1827, DOI 10.1007/s11069-015-1803-x
   Cook I., 2005, CRITICAL CONCEPTS CU, P16
   Cooney CM, 2012, ENVIRON HEALTH PERSP, V120, pA22, DOI 10.1289/ehp.120-a22
   Costanza Robert, 1992, P239
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Demetriades J, 2008, IDS BULL-I DEV STUD, V39, P24, DOI 10.1111/j.1759-5436.2008.tb00473.x
   Denton F., 2002, Gender and Development, V10, P10, DOI 10.1080/13552070215903
   Djoudi H, 2011, INT FOREST REV, V13, P123, DOI 10.1505/146554811797406606
   Dodge R., 2012, International Journal of Wellbeing, V2, P222, DOI [10.5502/ijw.v2i3.4, DOI 10.5502/IJW.V2I3.4]
   Green BN, 2001, J SPORT CHIROPR REH, V15, P5, DOI 10.1016/S0899-3467(07)60142-6
   Greenhalgh T, 2005, SOC SCI MED, V61, P417, DOI 10.1016/j.socscimed.2004.12.001
   Haneji C., 2014, Journal of Vietnamese Environment, V6, P101
   Hawkins S., 2010, KATOOMBA GROUPS LEGA
   Heo S, 2016, BMJ OPEN, V6, DOI 10.1136/bmjopen-2016-011786
   IPBES, 2016, METH ASS REP SCEN MO
   Jones HP, 2012, NAT CLIM CHANGE, V2, P504, DOI 10.1038/NCLIMATE1463
   Jones K., 2004, QUAL REP, V9, P95, DOI DOI 10.1186/1471-2458-12-383
   Kaika M, 2017, ENVIRON URBAN, V29, P89, DOI 10.1177/0956247816684763
   Kelly PM, 2000, CLIMATIC CHANGE, V47, P325, DOI 10.1023/A:1005627828199
   Klein RJT, 2010, CLIM DEV, V2, P203, DOI 10.3763/cdev.2010.0049
   Klinenberg E., 2015, Heat Wave: A Social Autopsy of Disaster in Chicago
   Kosoy N, 2010, ECOL ECON, V69, P1228, DOI 10.1016/j.ecolecon.2009.11.002
   Laska S, 2006, MAR TECHNOL SOC J, V40, P16, DOI 10.4031/002533206787353123
   Leslie HM, 2007, FRONT ECOL ENVIRON, V5, P540, DOI 10.1890/1540-9295(2007)5[540:CTCOIM]2.0.CO;2
   Li J, 2016, INT J ENV RES PUB HE, V13, DOI 10.3390/ijerph13070648
   Tran L, 2014, ANN TOURISM RES, V44, P116, DOI 10.1016/j.annals.2013.09.005
   Lockie Stewart., 2016, ENVIRON SOCIOL, V2, P115, DOI DOI 10.1080/23251042.2016.1182308
   Mabon L, 2017, MAR POLICY, V83, P243, DOI 10.1016/j.marpol.2017.06.015
   Marshall MN, 1996, FAM PRACT, V13, P522, DOI 10.1093/fampra/13.6.522
   MAYS N, 1995, BRIT MED J, V311, P109, DOI 10.1136/bmj.311.6997.109
   McGranahan G, 2007, ENVIRON URBAN, V19, P17, DOI 10.1177/0956247807076960
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Millennium Ecosystem Assessment, 2005, EC HUM WELLB, VI
   Munang R, 2013, CURR OPIN ENV SUST, V5, P67, DOI 10.1016/j.cosust.2012.12.001
   KimDung N, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8030292
   Nhuan M. T., 2009, J WETLANDS ECOLOGY, V2, P1
   Norgaard RB, 2010, ECOL ECON, V69, P1219, DOI 10.1016/j.ecolecon.2009.11.009
   Oulahen G, 2015, ANN ASSOC AM GEOGR, V105, P473, DOI 10.1080/00045608.2015.1012634
   Paavola J, 2006, ECOL ECON, V56, P594, DOI 10.1016/j.ecolecon.2005.03.015
   Perrings C, 2011, SCIENCE, V331, P1139, DOI 10.1126/science.1202400
   PHAM TT, 2013, OCCASIONAL PAPER
   Pilgrim JD, 2011, ORYX, V45, P381, DOI 10.1017/S0030605310001523
   Rambaldi G., 2001, ASEAN Biodiversity, V1, P43
   Roberts D, 2012, ENVIRON URBAN, V24, P167, DOI 10.1177/0956247811431412
   Roberts D, 2010, ENVIRON URBAN, V22, P397, DOI 10.1177/0956247810379948
   Rohr JR, 2011, TRENDS ECOL EVOL, V26, P270, DOI 10.1016/j.tree.2011.03.002
   Saleem Khan A., 2012, OCEAN COAST MANAGE, V69, P327
   Seto KC, 2007, GLOBAL ENVIRON CHANG, V17, P486, DOI 10.1016/j.gloenvcha.2007.03.001
   Seto KC, 2012, P NATL ACAD SCI USA, V109, P16083, DOI 10.1073/pnas.1211658109
   Shrader-Frechette K.S., 2002, Environmental Justice: Creating Equality, Reclaiming Democracy
   Smith KR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P709
   Soja EW, 2010, GLOB COMMUNITY SER, P1
   Spalding MD, 2014, OCEAN COAST MANAGE, V90, P50, DOI 10.1016/j.ocecoaman.2013.09.007
   Stern N, 2008, AM ECON REV, V98, P1, DOI 10.1257/aer.98.2.1
   Strauss A., 1997, Grounded theory in practice
   Su MR, 2010, SCI TOTAL ENVIRON, V408, P2425, DOI 10.1016/j.scitotenv.2010.03.009
   Teel TL, 2018, CONSERV BIOL, V32, P6, DOI 10.1111/cobi.13059
   Tran TTT, 2013, J PEASANT STUD, V40, P703, DOI 10.1080/03066150.2013.826653
   Tracy S.J., 2019, Qualitative research methods: Collecting evidence, crafting analysis, communicating impact, DOI [DOI 10.1080/22041451.2019.1688620, 10.1080/22041451.2019.1688620]
   Walter PG, 2016, CURR ISSUES TOUR, V19, P1356, DOI 10.1080/13683500.2013.850063
   Wikle T.A., 2013, Focus on Geography, V56, P66, DOI DOI 10.1111/FOGE.12013
   Woodward A, 1998, CLIMATE RES, V11, P31, DOI 10.3354/cr011031
   Yin R.K., 1984, CASE STUDY RES
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
NR 102
TC 11
Z9 11
U1 2
U2 37
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0964-5691
EI 1873-524X
J9 OCEAN COAST MANAGE
JI Ocean Coastal Manage.
PD MAY 15
PY 2018
VL 158
BP 32
EP 44
DI 10.1016/j.ocecoaman.2018.03.022
PG 13
WC Oceanography; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Oceanography; Water Resources
GA GK5JX
UT WOS:000436212500004
OA Green Accepted
DA 2025-01-10
ER

PT S
AU Herath, S
   Mishra, B
   Wong, P
   Weerakoon, SB
AF Herath, Srikantha
   Mishra, Binaya
   Wong, Pearly
   Weerakoon, S. B.
BE Takeuchi, K
   Saito, O
   Matsuda, H
   Mohan, G
TI Mosaic of Traditional and Modern Agriculture Systems for Enhancing
   Resilience
SO RESILIENT ASIA: FUSION OF TRADITIONAL AND MODERN SYSTEMS FOR A
   SUSTAINABLE FUTURE
SE Science for Sustainable Societies
LA English
DT Article; Book Chapter
DE Traditional irrigation system; Deduru Oya project; Hydrological
   modeling; Resilience
AB There are many traditional agricultural production systems in Asia that have resulted not only in outstanding landscapes, maintenance of agricultural biodiversity, indigenous knowledge, and resilient ecosystems development but also provided economic, environmental, and social goods and services over thousands of years. With growing population and economic aspirations, many of these systems are being replaced by modern agriculture systems that are designed for efficiency and large-scale development. However, there is also a growing realization that we should in some form preserve these valuable repositories of indigenous knowledge for climate change adaptation, biodiversity conservation and land management, and the rich culture they spawned. Different approaches such as World Cultural and Natural Heritage sites, in particular World Cultural Heritage Landscapes of UNESCO, or the Globally Important Agriculture Heritage Systems of FAO attempt to preserve and showcase representative production sites from these systems. However, they cannot be upscaled to cover the vast populations still engaged in them. In this paper, we investigate the feasibility of fusing the traditional and the modern systems through building mosaics of traditional and new systems.
   In this article, we have studied the Deduru Oya irrigation project which provides an ideal ground for research and experimentation of integrating modern irrigation and ancient irrigation systems to improve cropping intensity and resilience. The simulation carried out for past 10 years reveal that this project planned to operate LB canal irrigation management incorporating the existing small irrigation tanks will be able to supply the water demand for LB development area for paddy cultivation without failure. While the modern system can adequately meet the irrigation demand, the integration of existing distributed small tanks provides resilience for extreme drought conditions and the much-needed macro-microscale integration with autonomy at microscale.
C1 [Herath, Srikantha] Govt Sri Lanka, Minist Megapolis & Western Dev, Colombo, Sri Lanka.
   [Mishra, Binaya] UNU Inst Adv Study Sustainabil, Tokyo, Japan.
   [Wong, Pearly] Groundwork Inst, UNESCO Off Kathmandu, Patan, Nepal.
   [Weerakoon, S. B.] Univ Peradeniya, Dept Civil Engn, Peradeniya 20400, Sri Lanka.
C3 United Nations University; University of Peradeniya
RP Herath, S (corresponding author), Govt Sri Lanka, Minist Megapolis & Western Dev, Colombo, Sri Lanka.
EM srikantha.herath@gmail.com
CR Aheeyar M. M. M., 2007, 4 AS REG C 10 INT SE
   [Anonymous], 2000, DAMS DEV NEW FRAMEWO
   Avsadahamy U. B., 2003, WEWA
   Batjes N.H, 2008, Report2008/02
   Brewer J. D., 2004, PRESENT STATUS PARTI
   Brohier R L., 1937, J Roy Asiatic Soc Cey Branch, V34, P64
   Brohier RL, 1934, ANCIENT IRRIGATION W, V1
   Brohier RL, 1934, ANCIENT IRRIGATION W, V3
   Brohier RL, 1934, ANCIENT IRRIGATION W, V2
   Chiew FH S., 2005, Estimation Of SIMHYD Parameter Values For Application
   Dharmarathna W. R. S. S., 2011, ANN T IESL B, VI, P207
   FAO, 2000, RIC CROP GRASSL COMM
   Godaliyaddal GGA., 1998, P 5 INT IT IS NETW M, P151
   Goldsmith E, 1984, OVERVIEW, V1
   Gunaratne B., 2003, WATER RESOURCES RES
   Gunawarden ERN, 2011, COMPENDIUM IWRM MODU
   Herath S, 2011, CECAR ASIA INC WORKS
   Holf H, 2007, 4 ISRIC WORLD SOIL I
   Hussein I, 2009, 13 INT WAT TECHN C H, P753
   LEACH ER, 1959, PAST PRESENT, P2
   Levers RW, 1890, MANUAL N CENTRAL PRO, P132
   Madduma Bandara CM, 1994, P IRMU SEMINAR SERIE
   MENDIS DLO, 1986, T I ENG SRI LANKA, V1, P13
   Merry DJ, 1991, PARTICIPATORY APPROA
   Nash JE., 1970, Journal of Hydrology, V10, P282, DOI [DOI 10.1016/0022-1694(70)90255-6, 10.1016/0022-1694(70)90255-6]
   Panabokke C R., 2002, Evolution, Present Status and Issues Concerning Small Tank Systems in Sri Lanka
   Panabokke C.R., 1999, The small tank cascade systems of the Rajarata: Their setting, distribution patterns, and hydrography
   Parker H.W., 1909, ANCIENT CEYLON
   Podger G., 2004, Rainfall Runoff Library User Guide
   Sakthivadivel R, 1997, 13 INT IRR MAN I
   SAKTHIVADIVEL R, 1996, 13 IIMI
   Samarasinghe S. A. P., 2005, P CONS RIV BAS MAN, P31
   Uphoff N, 2000, WORLD DEV, V28, P1875, DOI 10.1016/S0305-750X(00)00063-2
   Wickramaarachchi T.N., 2004, APHW P
NR 34
TC 2
Z9 2
U1 2
U2 7
PU SPRINGER JAPAN
PI TOKYO
PA CHIYODA FIRST BLDG E, 3-8-1 NISHI-KANDA CHIYODA-KU, TOKYO, 101-0065,
   JAPAN
SN 2197-7348
BN 978-4-431-56597-0; 978-4-431-56595-6
J9 SCI SUSTAIN SOC
PY 2018
BP 151
EP 187
DI 10.1007/978-4-431-56597-0_8
D2 10.1007/978-4-431-56597-0
PG 37
WC Area Studies; Green & Sustainable Science & Technology; Environmental
   Studies
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH)
SC Area Studies; Science & Technology - Other Topics; Environmental
   Sciences & Ecology
GA BK7NJ
UT WOS:000441808000008
DA 2025-01-10
ER

PT J
AU Freduah, G
   Fidelman, P
   Smith, TF
AF Freduah, George
   Fidelman, Pedro
   Smith, Timothy F.
TI The impacts of environmental and socio-economic stressors on small scale
   fisheries and livelihoods of fishers in Ghana
SO APPLIED GEOGRAPHY
LA English
DT Article
ID CLIMATE-CHANGE; COASTAL COMMUNITIES; MULTIPLE STRESSORS; QUALITATIVE
   RESEARCH; MARINE FISHERIES; ANDAMAN COAST; VULNERABILITY; FRAMEWORK;
   ADAPTATION; POOR
AB Small-scale coastal fisheries are exposed to many stressors, such as poor governance, lack of alternative employment, overfishing and diseases. Stressors, in this context, constitute environmental and socio-economic changes or events at local, national or global levels making the fisheries sector or fishers vulnerable. Climate change is expected to compound the consequences of these stressors on fisheries and livelihoods. Identifying and understanding the effects of important stressors are imperative for building and organising appropriate capacity to adapt and, ultimately, for successful adaptation. However, how climate-related and non-climate stressors jointly affect small-scale fisheries is still to be fully explored. In this paper, we use case studies of three coastal communities in,the Western Region of Ghana to gain insights into how multiple stressors combine to affect small-scale fisheries. The findings show that multiple stressors combine in complex ways, affecting fisheries-based livelihoods and the coastal landscape, vegetation and infrastructure. This suggests that any single stressor is just a part of a set of stressors that jointly affect small-scale coastal fisheries. This study proposes that the effects of climate-related stressors are better comprehended when analysed in light of the synergetic effect of multiple stressors. It has the potential to guide policy-makers and managers in designing and implementing improved strategies to enhance adaptive capacity in response to climate change. Moreover, this knowledge can present an opportunity and justification for solving other inherent developmental problems through climate change adaptation policies and actions.
C1 [Freduah, George; Fidelman, Pedro; Smith, Timothy F.] Univ Sunshine Coast, Sustainabil Res Ctr, ML28,Locked Bag 4, Maroochydore, Qld 4558, Australia.
   [Smith, Timothy F.] Brock Univ, Environm Sustainabil Res Ctr, St Catharines, ON, Canada.
   [Smith, Timothy F.] Uppsala Univ, Swedish Int Ctr Educ Sustainable Dev SWEDESD, Uppsala, Sweden.
C3 University of the Sunshine Coast; Brock University; Uppsala University
RP Freduah, G (corresponding author), Univ Sunshine Coast, Sustainabil Res Ctr, ML28,Locked Bag 4, Maroochydore, Qld 4558, Australia.
EM gfreduah@usc.edu.au; contact@pedrofidelman.com; TSmith5@usc.edu.au
RI Fidelman, Pedro/N-1466-2014; Freduah, George/Q-9663-2019
OI Smith, Timothy/0000-0002-3991-5211; Fidelman, Pedro/0000-0001-7780-0952;
   Freduah, George/0000-0002-5476-8061
FU Too Big To Ignore (TBTI), a global research network and knowledge
   mobilization for elevating the profile of small-scale fisheries (SSF)
FX This study is part of a PhD research conducted at the University of the
   Sunshine Coast, Australia. We are grateful to the support provided by
   Too Big To Ignore (TBTI), a global research network and knowledge
   mobilization for elevating the profile of small-scale fisheries (SSF).
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Alexander KS, 2012, J ENVIRON PLANN MAN, V55, P409, DOI 10.1080/09640568.2011.604193
   Amaru S, 2013, APPL GEOGR, V39, P128, DOI 10.1016/j.apgeog.2012.12.006
   Andrew NL, 2007, FISH FISH, V8, P227, DOI 10.1111/j.1467-2679.2007.00252.x
   [Anonymous], FISHERIES MANAGEMENT
   [Anonymous], REP CHAR COAST COMM
   [Anonymous], FISH OUT WATER COMPE
   [Anonymous], 2021, 2010 POP HOUS CENS S
   [Anonymous], BRIDGING VULNERABILI
   [Anonymous], HUMAN SECURITY VULNE
   [Anonymous], ENV SENS MAP COAST A
   [Anonymous], 2002, Qualitative Research and Evaluation Methods
   [Anonymous], 2003, CASE STUDY RES APPL
   [Anonymous], HEN MPOAN OUR COAST
   [Anonymous], REV OCEANOGRAPHY FIS
   [Anonymous], CLIMATE CHANGE 2014
   [Anonymous], CLIMATE CHANGE NATUR
   [Anonymous], GHAN MIN SCI TECHN E
   [Anonymous], 2012, GHANA COASTAL FISHER
   Assan JK, 2009, J INT DEV, V21, P393, DOI 10.1002/jid.1565
   Barnett AJ, 2015, APPL GEOGR, V59, P107, DOI 10.1016/j.apgeog.2014.11.005
   Béné C, 2004, POVERTY AND SMALL-SCALE FISHERIES IN WEST AFRICA, P83
   Béné C, 2010, DEV POLICY REV, V28, P325, DOI 10.1111/j.1467-7679.2010.00486.x
   Bennett NJ, 2014, ECOL SOC, V19, DOI 10.5751/ES-06315-190205
   Bennett NJ, 2015, CLIM DEV, V7, P124, DOI 10.1080/17565529.2014.886993
   Bennett NJ, 2013, LOCAL ENVIRON, V18, P983, DOI 10.1080/13549839.2012.748733
   Biesbroek GR, 2013, REG ENVIRON CHANGE, V13, P1119, DOI 10.1007/s10113-013-0421-y
   Bowen GA, 2009, QUAL RES J, V9, P27, DOI 10.3316/QRJ0902027
   Brander KM, 2007, P NATL ACAD SCI USA, V104, P19709, DOI 10.1073/pnas.0702059104
   Bunce Matthew, 2010, Environment Development and Sustainability, V12, P407, DOI 10.1007/s10668-009-9203-6
   Chen C, 2015, APPL GEOGR, V59, P88, DOI 10.1016/j.apgeog.2014.10.015
   Collier P, 2008, OXFORD REV ECON POL, V24, P337, DOI 10.1093/oxrep/grn019
   Creswell J. W., 2018, Research design: qualitative, quantitative, and mixed methods approaches
   DeGraft-Johnson K.A.A., 2010, BIODIVERSITY THREATS
   Dontwi J, 2008, Ghana climate change impacts, vulnerability and adaptation assessments, under the Netherlands climate assistance programme, V1319, P14
   Dowler L., 2001, Qualitative Methodologies for Geographers: Issues and Debates, P153
   Ellis F., 2005, Rural livelihoods and poverty reduction policies, P31
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   Gyimah-Boadi E, 2012, J DEMOCR, V23, P94, DOI 10.1353/jod.2012.0042
   Leichenko RM, 2010, ANN ASSOC AM GEOGR, V100, P963, DOI 10.1080/00045608.2010.497340
   Luers AL, 2005, GLOBAL ENVIRON CHANG, V15, P214, DOI 10.1016/j.gloenvcha.2005.04.003
   MacNeil MA, 2010, PHILOS T R SOC B, V365, P3753, DOI 10.1098/rstb.2010.0289
   Marshall N.A., 2009, Sustaining tropical coastal communities industries: A framework for social adaptation to climate change
   McSweeney C., 2012, UNDP Climate Change Country Profiles: Senegal
   Mensah M.A., 2002, P227
   Miles M. B., 1994, QUALITATIVE DATA ANA
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Musante K., 2010, Participant observation: A guide for fieldworkers
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   O'Brien K, 2009, ENVIRON SCI POLICY, V12, P23, DOI 10.1016/j.envsci.2008.10.008
   Perry RI, 2011, FISH FISH, V12, P427, DOI 10.1111/j.1467-2979.2010.00402.x
   Prado DS, 2015, OCEAN COAST MANAGE, V113, P29, DOI 10.1016/j.ocecoaman.2015.05.018
   Robinson OC, 2014, QUAL RES PSYCHOL, V11, P25, DOI 10.1080/14780887.2013.801543
   Shameem MIM, 2014, OCEAN COAST MANAGE, V102, P79, DOI 10.1016/j.ocecoaman.2014.09.002
   Smit B., 1999, MITIG ADAPT STRAT GL, V4, P199, DOI [10.1023/a:1009652531101, DOI 10.1023/A:1009652531101, https://doi.org/10.1023/A:1009652531101]
   Sumaila UR, 2011, NAT CLIM CHANGE, V1, P449, DOI 10.1038/NCLIMATE1301
   Sumaila UR, 2008, ICES J MAR SCI, V65, P832, DOI 10.1093/icesjms/fsn070
   Teh LCL, 2013, FISH FISH, V14, P77, DOI 10.1111/j.1467-2979.2011.00450.x
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   Wagner M, 2014, APPL GEOGR, V50, P15, DOI 10.1016/j.apgeog.2014.01.009
   Watson MS, 2016, OCEAN COAST MANAGE, V123, P1, DOI 10.1016/j.ocecoaman.2016.01.012
   Wong PP, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P361
   Yin D.R. K., 2017, Case Study Research and Applications: Design and Methods
   Yin R.K., 2011, Qualitative research from start to finish
   Zou LL, 2010, NAT HAZARDS, V54, P901, DOI 10.1007/s11069-010-9513-x
NR 66
TC 46
Z9 48
U1 6
U2 53
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0143-6228
EI 1873-7730
J9 APPL GEOGR
JI Appl. Geogr.
PD DEC
PY 2017
VL 89
BP 1
EP 11
DI 10.1016/j.apgeog.2017.09.009
PG 11
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA FR3PM
UT WOS:000418978600001
DA 2025-01-10
ER

PT J
AU Ragettli, S
   Immerzeel, WW
   Pellicciotti, F
AF Ragettli, Silvan
   Immerzeel, Walter W.
   Pellicciotti, Francesca
TI Contrasting climate change impact on river flows from high-altitude
   catchments in the Himalayan and Andes Mountains
SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
   AMERICA
LA English
DT Article
DE river flow; glaciers; climate change; high-altitude water cycle;
   hydrological modeling
ID DEBRIS-COVERED GLACIERS; MASS-BALANCE; MODELING RUNOFF; BIAS CORRECTION;
   20-1ST CENTURY; EVEREST REGION; PRECIPITATION; HYDROLOGY; MELT;
   PARAMETERIZATION
AB Mountain ranges are the world's natural water towers and provide water resources for millions of people. However, their hydrological balance and possible future changes in river flow remain poorly understood because of high meteorological variability, physical inaccessibility, and the complex interplay between climate, cryosphere, and hydrological processes. Here, we use a state-of-the art glacio-hydrological model informed by data from high-altitude observations and the latest climate change scenarios to quantify the climate change impact on water resources of two contrasting catchments vulnerable to changes in the cryosphere. The two study catchments are located in the Central Andes of Chile and in the Nepalese Himalaya in close vicinity of densely populated areas. Although both sites reveal a strong decrease in glacier area, they show a remarkably different hydrological response to projected climate change. In the Juncal catchment in Chile, runoff is likely to sharply decrease in the future and the runoff seasonality is sensitive to projected climatic changes. In the Langtang catchment in Nepal, future water availability is on the rise for decades to come with limited shifts between seasons. Owing to the high spatiotemporal resolution of the simulations and process complexity included in the modeling, the response times and the mechanisms underlying the variations in glacier area and river flow can be well constrained. The projections indicate that climate change adaptation in Central Chile should focus on dealing with a reduction in water availability, whereas in Nepal preparedness for flood extremes should be the policy priority.
C1 [Ragettli, Silvan] ETH, Inst Environm Engn, CH-8093 Zurich, Switzerland.
   [Immerzeel, Walter W.] Univ Utrecht, Dept Phys Geog, NL-3508 TC Utrecht, Netherlands.
   [Pellicciotti, Francesca] Northumbria Univ, Dept Geog, Newcastle Upon Tyne NE1 8ST, Tyne & Wear, England.
C3 Swiss Federal Institutes of Technology Domain; ETH Zurich; Utrecht
   University; Northumbria University
RP Ragettli, S (corresponding author), ETH, Inst Environm Engn, CH-8093 Zurich, Switzerland.
EM ragettli@ifu.baug.ethz.ch
RI Immerzeel, Walter/E-2489-2012
OI Ragettli, Silvan/0000-0001-9817-8541; Immerzeel,
   Walter/0000-0002-2010-9543
FU Norwegian Ministry of Foreign Affairs; US Agency for International
   Development High Mountain Glacier Watershed Programs Climber-Scientist
   Grant [CCRDCS0010]; Swiss National Science Foundation ("Understanding
   Contrasts in High Mountain Hydrology in Asia" project); Swiss State
   Secretariat for Education and Research [CJRP-1003]; European Research
   Council under the European Union's Horizon Research and Innovation
   Program [676819]; South Asia Research Hub of the UK Department for
   International Development; European Research Council (ERC) [676819]
   Funding Source: European Research Council (ERC)
FX We are grateful to all the people who assisted with the data collection.
   We thank Andres Rivera for providing data on the ice thickness of Juncal
   Norte Glacier and Thomas Mendlik for processing the CMIP5 model ensemble
   for the climate model selection. We are very grateful to the Hindu Kush
   Himalayan Cryosphere Monitoring Project implemented by the International
   Centre for Integrated Mountain Development and supported by the
   Norwegian Ministry of Foreign Affairs. Fieldwork was partially supported
   by the US Agency for International Development High Mountain Glacier
   Watershed Programs Climber-Scientist Grant CCRDCS0010. This study was
   supported by the Swiss National Science Foundation ("Understanding
   Contrasts in High Mountain Hydrology in Asia" project), with
   contributions from the Swiss State Secretariat for Education and
   Research (Grant CJRP-1003), the European Research Council under the
   European Union's Horizon 2020 Research and Innovation Program (Grant
   676819) and the South Asia Research Hub of the UK Department for
   International Development.
CR Benn DI, 2012, EARTH-SCI REV, V114, P156, DOI 10.1016/j.earscirev.2012.03.008
   Benn DI, 2000, QUATERN INT, V65-6, P15, DOI 10.1016/S1040-6182(99)00034-8
   Bernhardt M, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL043086
   Beven K, 2006, J HYDROL, V320, P18, DOI 10.1016/j.jhydrol.2005.07.007
   Bliss A, 2014, J GEOPHYS RES-EARTH, V119, P717, DOI 10.1002/2013JF002931
   Bordoy R, 2013, J APPL METEOROL CLIM, V52, P82, DOI 10.1175/JAMC-D-11-0149.1
   Bown F, 2008, ANN GLACIOL, V48, P43, DOI 10.3189/172756408784700572
   Box G.E.P., 2008, TIME SERIES ANAL
   Brock BW, 2000, J GLACIOL, V46, P675, DOI 10.3189/172756500781832675
   Buri P, 2016, ANN GLACIOL, V57, P199, DOI 10.3189/2016AoG71A059
   Ciarapica L, 2002, HYDROL PROCESS, V16, P207, DOI 10.1002/hyp.342
   Collier E, 2015, J GEOPHYS RES-ATMOS, V120, P9882, DOI 10.1002/2015JD023266
   Farinotti D, 2013, J GLACIOL, V59, P992, DOI 10.3189/2013JoG13J080
   Fatichi S, 2015, J HYDROL, V525, P362, DOI 10.1016/j.jhydrol.2015.03.036
   Fatichi S, 2016, J HYDROL, V537, P45, DOI 10.1016/j.jhydrol.2016.03.026
   Fernández A, 2016, J ADV MODEL EARTH SY, V8, P467, DOI 10.1002/2015MS000482
   Frey H, 2014, CRYOSPHERE, V8, P2313, DOI 10.5194/tc-8-2313-2014
   Fujita K, 2014, HYDROL EARTH SYST SC, V18, P2679, DOI 10.5194/hess-18-2679-2014
   Fujita K, 2008, ANN GLACIOL, V48, P88, DOI 10.3189/172756408784700824
   Gabbi J, 2015, CRYOSPHERE, V9, P1385, DOI 10.5194/tc-9-1385-2015
   Gabbi J, 2014, J GLACIOL, V60, P1140, DOI 10.3189/2014JoG14J011
   Gascoin S, 2013, ADV WATER RESOUR, V55, P25, DOI 10.1016/j.advwatres.2012.11.013
   Harper JT, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2003GL017329
   Huss M, 2010, HYDROL EARTH SYST SC, V14, P815, DOI 10.5194/hess-14-815-2010
   Huss M, 2015, FRONT EARTH SC-SWITZ, V3, DOI 10.3389/feart.2075.00054
   Immerzeel WW, 2014, REMOTE SENS ENVIRON, V150, P93, DOI 10.1016/j.rse.2014.04.025
   Immerzeel WW, 2014, WATER RESOUR RES, V50, P2212, DOI 10.1002/2013WR014506
   Immerzeel WW, 2013, NAT GEOSCI, V6, P742, DOI [10.1038/NGEO1896, 10.1038/ngeo1896]
   Immerzeel WW, 2012, CLIMATIC CHANGE, V110, P721, DOI 10.1007/s10584-011-0143-4
   Kääb A, 2012, NATURE, V488, P495, DOI 10.1038/nature11324
   Kaser G, 2010, P NATL ACAD SCI USA, V107, P20223, DOI 10.1073/pnas.1008162107
   Lafon T, 2013, INT J CLIMATOL, V33, P1367, DOI 10.1002/joc.3518
   Leander R, 2007, J HYDROL, V332, P487, DOI 10.1016/j.jhydrol.2006.08.006
   Lutz AF, 2014, NAT CLIM CHANGE, V4, P587, DOI [10.1038/nclimate2237, 10.1038/NCLIMATE2237]
   Marzeion B, 2012, CRYOSPHERE, V6, P1295, DOI 10.5194/tc-6-1295-2012
   Miles ES, 2016, ANN GLACIOL, V57, P29, DOI 10.3189/2016AoG71A421
   Norris J, 2015, J GEOPHYS RES-ATMOS, V120, P3114, DOI 10.1002/2014JD022592
   Pellicciotti F, 2014, SCI TOTAL ENVIRON, V493, P1197, DOI 10.1016/j.scitotenv.2013.10.055
   Pellicciotti F, 2010, WATER RESOUR RES, V46, DOI 10.1029/2009WR009039
   Pellicciotti F, 2005, J GLACIOL, V51, P573, DOI 10.3189/172756505781829124
   Ragettli S, 2015, ADV WATER RESOUR, V78, P94, DOI 10.1016/j.advwatres.2015.01.013
   Ragettli S, 2014, HYDROL PROCESS, V28, P5674, DOI 10.1002/hyp.10055
   Ragettli S, 2013, WATER RESOUR RES, V49, P6048, DOI 10.1002/wrcr.20450
   Ragettli S, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR010559
   Ragettli S., 2016, CRYOSPH DISCUSS, P1, DOI DOI 10.5194/TC-2016-25
   Reid TD, 2010, J GLACIOL, V56, P903, DOI 10.3189/002214310794457218
   Rowan AV, 2015, EARTH PLANET SC LETT, V430, P427, DOI 10.1016/j.epsl.2015.09.004
   Scherler D, 2011, NAT GEOSCI, V4, P156, DOI 10.1038/NGEO1068
   Sharma B, 2010, WATER INT, V35, P493, DOI 10.1080/02508060.2010.512996
   Shea JM, 2015, CRYOSPHERE, V9, P1105, DOI 10.5194/tc-9-1105-2015
   strem G., 1959, Geogr. Ann, V41, P228, DOI [10.1080/20014422.1959.11907953, DOI 10.1080/20014422.1959.11907953]
   Valdés-Pineda R, 2014, J HYDROL, V519, P2538, DOI 10.1016/j.jhydrol.2014.04.016
   Viviroli D, 2011, HYDROL EARTH SYST SC, V15, P471, DOI 10.5194/hess-15-471-2011
NR 53
TC 141
Z9 148
U1 4
U2 107
PU NATL ACAD SCIENCES
PI WASHINGTON
PA 2101 CONSTITUTION AVE NW, WASHINGTON, DC 20418 USA
SN 0027-8424
J9 P NATL ACAD SCI USA
JI Proc. Natl. Acad. Sci. U. S. A.
PD AUG 16
PY 2016
VL 113
IS 33
BP 9222
EP 9227
DI 10.1073/pnas.1606526113
PG 6
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA DT3RS
UT WOS:000381399200045
PM 27482082
OA Green Accepted, Green Published
DA 2025-01-10
ER

PT J
AU Bobylev, N
AF Bobylev, Nikolai
TI Underground space as an urban indicator: Measuring use of subsurface
SO TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
LA English
DT Article
DE Urban underground space; Urban indicators; Urbanisation; Sustainability;
   Resilience; Density
ID SUSTAINABILITY; CITIES
AB Use of Urban Underground Space (UUS) has been growing significantly in the world's biggest and wealthiest cities. UUS has been long acknowledged to be important to the urban development agenda: sustainability, resilience, livability, and creating a better urban environment in particular. These issues are traditionally monitored using urban indicators, however UUS has not been properly included and considered in urban indicator lists (sets or systems) yet - the gap this paper is aiming to bridge. The paper reviews existing approaches to the composition of urban indicator lists, highlighting indicator types, challenges related to data collection, and agencies that are concerned with the issue. Further the paper has identified the importance of UUS inclusion in the lists that give integrated assessment and monitor urban sustainability, resilience, climate change adaptation and mitigation, as well as progress towards smart, livable, and compact cities. Existing global quantitative data on UUS have been examined in 8 cities; and three key indicators (descriptors) were suggested to monitor UUS use: Developed UUS volume (m(3)); UUS use density (m(3)/m(2)); and Developed UUS volume per person (m(3)/person). Current average UUS use densities in cities are identified as up to about 0.05 (m(3)/m(2)) (which can be interpreted as a virtual depth of UUS use of 5 cm), and the developed UUS volume per person is up to about 10 m(3)/person; while city central areas (central business districts) can have a virtual depth of developed UUS of several metres (m(3)/m(2)). Compatibility, comparability, uniformity, and sustained monitoring of urban indicators data (including UUS indicators) found to be posing significant challenges to the research across geographies, and industry/economic sectors. (C) 2015 The Author. Published by Elsevier Ltd.
C1 [Bobylev, Nikolai] St Petersburg State Univ, Inst Earth Sci, 7-9 Univ Skaya Nab, St Petersburg 199034, Russia.
   [Bobylev, Nikolai] Russian Acad Sci, St Petersburg Res Ctr Ecol Safety, 18 Korpusnja Ul, St Petersburg 197110, Russia.
   [Bobylev, Nikolai] Peter Great St Petersburg Polytech Univ, Polytech Skaya 29, St Petersburg 195251, Russia.
   [Bobylev, Nikolai] POB 45, St Petersburg 195267, Russia.
C3 Saint Petersburg State University; Russian Academy of Sciences; St.
   Petersburg Federal Research Center of the Russian Academy of Sciences;
   Peter the Great St. Petersburg Polytechnic University
RP Bobylev, N (corresponding author), St Petersburg State Univ, Inst Earth Sci, 7-9 Univ Skaya Nab, St Petersburg 199034, Russia.
EM n.bobylev@spbu.ru
RI Bobylev, Nikolai/D-7649-2011
OI Bobylev, Nikolai/0000-0002-1977-8141
FU European Community 7th Research Framework programme under People Marie
   Curie actions [PIIF-GA-2010-273861]
FX The reported research has been funded by the European Community 7th
   Research Framework programme under People Marie Curie actions, Grant
   PIIF-GA-2010-273861.
CR [Anonymous], 1995, Agenda 21
   [Anonymous], SUST DEV EUR UN 2009
   [Anonymous], REP UND SOL URB PROB
   [Anonymous], 2006, INFR 2030 TEL LAND T
   [Anonymous], 2005, The Dynamics of Global Urban Expansion. Transport and Urban Development Department
   [Anonymous], 2008, OECD Environmental Outlook to 2030
   [Anonymous], 2012, GEO5 Global Environment Outlook: Environment for the Future We Want
   ANTTIKOSKI U, 1989, TUNN UNDERGR SP TECH, V4, P17, DOI 10.1016/0886-7798(89)90028-X
   Bobylev N, 2007, NATO SCI PEACE SECUR, P445, DOI 10.1007/978-1-4020-6385-5_26
   Bobylev N., 2006, Tunn Undergr Sp Technol Inc Trenchless Technol Res, V21, P469, DOI [10.1016/j.tust.2005.12.106, DOI 10.1016/J.TUST.2005.12.106]
   Bobylev N., 2014, GEOSP WORLD FOR LAND
   Bobylev N., 2009, 5 URB RES S MARS FRA
   Bobylev N., 2013, Global Change, Energy Issues and Regulation Policies, Integrated Science Technology Program, V2, P77
   Bobylev N, 2008, NATO SCI PEACE SECUR, P203, DOI 10.1007/978-1-4020-8551-2_10
   Bobylev N, 2010, NATO SCI PEACE SEC, V69, P183, DOI 10.3233/978-1-60750-579-2-183
   Bobylev N, 2013, ADVANCES IN UNDERGROUND SPACE DEVELOPMENT, P906, DOI 10.3850/978-981-07-3757-3_RP-107-P219
   Bobylev N, 2011, AUTOMAT CONSTR, V20, P1030, DOI 10.1016/j.autcon.2011.04.004
   Bobylev N, 2010, TUNN UNDERGR SP TECH, V25, P495, DOI 10.1016/j.tust.2010.02.013
   Bobylev N, 2009, LAND USE POLICY, V26, P1128, DOI 10.1016/j.landusepol.2009.02.003
   BOIVIN DJ, 1990, TUNN UNDERGR SP TECH, V5, P69, DOI 10.1016/0886-7798(90)90062-O
   Braulio-Gonzalo M, 2015, ENVIRON IMPACT ASSES, V53, P16, DOI 10.1016/j.eiar.2015.03.002
   BRE Global, 2011, SD5065 TECHN GUID MA
   Broch E, 2016, TUNN UNDERGR SP TECH, V55, P329, DOI 10.1016/j.tust.2015.08.010
   Carmody John., 1993, UNDERGROUND SPACE DE
   Castanheira G., 2014, THESCIENTIFICWORLDJO, V62, p[1, 2356]
   CRISP Project, 1999, EUR THEM NETW CONSTR
   Cui JQ, 2013, TUNN UNDERGR SP TECH, V35, P152, DOI 10.1016/j.tust.2012.12.009
   Daly G., 2013, Borderlands: The Journal of Spatial Planning in Ireland, V3, P77
   Demographia, 2013, WORLD URB AR 9 ANN E
   Duffaut P., 2007, URBANISME SOUTERRAIN
   Duffaut P., 1980, UNDERGR SPACE, V5, P86
   European Commission, 2003, EUR COMM IND LOC SUS
   Foster N., 2011, LORD FOSTER INAUGURA
   He L, 2012, TUNN UNDERGR SP TECH, V32, P168, DOI 10.1016/j.tust.2012.06.008
   Hunt DVL, 2016, TUNN UNDERGR SP TECH, V55, P8, DOI 10.1016/j.tust.2015.11.015
   INSEE. Institute National de la Statistique et des Etudes Economiques: INSEE, 2009, I NAT STAT ET EC INS
   ITACUS, 2010, 2 ITACUS
   Jansson B., 1976, UNDERGR SPACE, V1, P9
   Kaliampakos D, 2016, TUNN UNDERGR SP TECH, V55, P229, DOI 10.1016/j.tust.2015.03.009
   Kaliampakos D., 2015, P ITA WTC 2015 C 41
   Lynch A.J., 2011, REPORTS PENN PENN I
   Makana LO, 2016, TUNN UNDERGR SP TECH, V55, P21, DOI 10.1016/j.tust.2015.11.016
   Metje N, 2007, TUNN UNDERGR SP TECH, V22, P568, DOI 10.1016/j.tust.2007.04.002
   Michael FL, 2014, HABITAT INT, V44, P491, DOI 10.1016/j.habitatint.2014.09.006
   Moussiopoulos N, 2010, CITIES, V27, P377, DOI 10.1016/j.cities.2010.06.001
   OECD, 2004, ORG EC COOP DEV KEY
   Rogers CDF, 2009, ENG GEOL SPEC PUBL S, V22, P177, DOI 10.1144/EGSP22.14
   Ronka K, 1998, TUNN UNDERGR SP TECH, V13, P39, DOI 10.1016/S0886-7798(98)00029-7
   SCR, 2015, SUST COMM RAT
   Shen LY, 2011, HABITAT INT, V35, P17, DOI 10.1016/j.habitatint.2010.03.006
   Shi X. D., 2006, REV VIST BEIJ UND SP, P32
   Sterling R., 2013, ADV UNDERGROUND SPAC, P56
   Sterling R., 1997, TUNNELLING TUNNELLIN, V12, P7, DOI DOI 10.1016/S0886-7798(98)00007-8
   Sterling R, 2012, PROC INST CIV ENG-U, V165, P241, DOI 10.1680/udap.10.00020
   Sterling RL, 1996, TUNN UNDERGR SP TECH, V11, P263, DOI 10.1016/0886-7798(96)00021-1
   United Nations, 2012, WORLD POP PROSP POP
   United Nations, 2012, SECR GEN VID MESS WO
   United Nations, 2007, IND SUST DEV GUID ME
   [United Nations Human Settlements Programme UN Habitat], 2013, STAT CIT REP ROUTL B
   [United Nations Human Settlements Programme UN Habitat], 2013, URB IND GUID MON HAB
   United Nations Human Settlements Programme (UN-Habitat), 2006, STAT WORLDS CIT 2006
   United Nations Sustainable Development Office, 1998, IND SUST DEV GUID ME
   Urban Audit, 2004, URB AUD METH HDB
   US GBC, 2009, LEED NEIGHB DEV
   Vähäaho I, 2013, ADVANCES IN UNDERGROUND SPACE DEVELOPMENT, P29, DOI 10.3850/978-981-07-3757-3_key5
   Wende W, 2010, LAND USE POLICY, V27, P864, DOI 10.1016/j.landusepol.2009.11.005
   World Bank, 2011, ENVIRON DEV, P1, DOI 10.1596/978-0-8213-8488-6
   World Bank, 2019, World Development Indicators
   World Bank, 2012, WORLD BANK ANN REP 2, V2
   World Health Organization, 1992, International statistical classification of diseases and related health problems, V10th
NR 70
TC 112
Z9 122
U1 9
U2 91
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0886-7798
EI 1878-4364
J9 TUNN UNDERGR SP TECH
JI Tunn. Undergr. Space Technol.
PD MAY
PY 2016
VL 55
BP 40
EP 51
DI 10.1016/j.tust.2015.10.024
PG 12
WC Construction & Building Technology; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Construction & Building Technology; Engineering
GA DK0QL
UT WOS:000374617200006
OA hybrid
DA 2025-01-10
ER

PT J
AU Fraga, H
   Santos, JA
   Malheiro, AC
   Oliveira, AA
   Moutinho-Pereira, J
   Jones, GV
AF Fraga, H.
   Santos, J. A.
   Malheiro, A. C.
   Oliveira, A. A.
   Moutinho-Pereira, J.
   Jones, G. V.
TI Climatic suitability of Portuguese grapevine varieties and climate
   change adaptation
SO INTERNATIONAL JOURNAL OF CLIMATOLOGY
LA English
DT Article
DE grapevine varieties; optimal varietal zones; growing degree-day;
   Portugal; climate change; RCP
ID VITIS-VINIFERA L.; WINE PRODUCTION; CABERNET-SAUVIGNON; DOURO VALLEY;
   WATER STATUS; PHENOLOGY; TRENDS; TEMPERATURE; REGIONS; SHIFTS
AB Grapevine varietal suitability is strongly linked to regional environmental conditions and growers tend to select varieties that are best suited to these conditions. A high agreement between current growing regions and optimal climatic zones is thus anticipated for a given variety. A changing climate is, however, expected to impose new challenges to this long-term varietal selection. The present research examines the spatial distribution of the main grapevine varieties in Portugal, establishing current and future optimal climatic zones for each variety. The spatial locations of 44 varieties are assessed, and their growing degree-day (GDD) requirements are computed using a high resolution climatic dataset (<1 km). A clustering methodology is applied to the spatial patterns of the optimal GDD of each variety, leading to three varietal groupings (early, intermediate and late). Future changes (2041-2060) in those patterns are then analysed using a 17 model-ensemble and two scenarios (RCP4.5 and 8.5). Results indicate that Portuguese varieties have high adaptability, because they are grown over a large range of thermal conditions. Although the three clusters provide a good agreement with the current growth conditions, a strong warming trend is projected in the future, resulting in projections of a northward shift and move to higher elevations for the cluster patterns. Hence, other European regions may experience improved growing conditions for the settlement of these Portuguese varieties. Nonetheless, future varietal selection will heavily depend on the interest of winemakers and global market policies for the production of specific wines. Adaptation measures may indeed be required for maintaining the current varietal distribution.
C1 [Fraga, H.; Santos, J. A.; Malheiro, A. C.; Oliveira, A. A.; Moutinho-Pereira, J.] Univ Tras Os Montes & Alto Douro, Ctr Res & Technol Agroenvironm & Biol Sci, UTAD, P-5000801 Vila Real, Portugal.
   [Jones, G. V.] Southern Oregon Univ, Dept Environm Studies, Ashland, OR USA.
C3 University of Tras-os-Montes & Alto Douro
RP Fraga, H (corresponding author), Univ Tras Os Montes & Alto Douro, Ctr Res & Technol Agroenvironm & Biol Sci, P-5000801 Vila Real, Portugal.
EM hfraga@utad.pt
RI Santos, João/G-8805-2011; oliveira, ana/K-1361-2013; Malheiro,
   Aureliano/H-6155-2011; Fraga, Helder/D-8507-2012; Moutinho-Pereira,
   Jose/J-6950-2013
OI Malheiro, Aureliano/0000-0001-6606-1787; Santos, Joao Carlos Andrade
   dos/0000-0002-8135-5078; Oliveira, Ana Alexandra/0000-0002-7600-6164;
   Fraga, Helder/0000-0002-7946-8786; Moutinho-Pereira,
   Jose/0000-0001-5825-559X
FU FCT - Portuguese Foundation for Science and Technology
   [PEst-OE/AGR/UI4033/2014]; PRODER project GreenVitis PA [43879 - IF
   0018]
FX This study was supported by the FCT - Portuguese Foundation for Science
   and Technology - under project PEst-OE/AGR/UI4033/2014 and by the PRODER
   project GreenVitis PA 43879 - IF 0018.
CR Alves F., 2013, 18 INT S GIESCO PORT, V7-11
   Amerine MA., 1944, Composition and quality of musts and wines of California grapes, V15
   Anderson K., 2013, Which Winegrape Varieties are Grown Where?, A global empirical picture
   Andrade C, 2014, ATMOS SCI LETT, V15, P149, DOI 10.1002/asl2.485
   [Anonymous], STAT REP WORLD VIT
   [Anonymous], VINH AG PORT AN 2013
   [Anonymous], CORINE LAND COV UPD
   Bock A, 2011, CLIM RES, V50, P69, DOI 10.3354/cr01048
   Bohm J., 2010, Portugal viticola O grande livro das castas
   Bonada M, 2015, AUST J GRAPE WINE R, V21, P1, DOI 10.1111/ajgw.12102
   Caetano M, 2006, GLOBAL DEVELOPMENTS IN ENVIRONMENTAL EARTH OBSERVATION FROM SPACE, P459
   Caffarra A, 2010, INT J BIOMETEOROL, V54, P255, DOI 10.1007/s00484-009-0277-5
   Chuine I, 2004, NATURE, V432, P289, DOI 10.1038/432289a
   Chuine I, 2003, TASK VEG SC, V39, P217
   Costa E, 2014, J INT SCI VIGNE VIN, V48, P51
   Cristino R, 2013, J SCI FOOD AGR, V93, P2486, DOI 10.1002/jsfa.6064
   de Cortázar-Atauri IG, 2009, INT J BIOMETEOROL, V53, P317, DOI 10.1007/s00484-009-0217-4
   de Orduña RM, 2010, FOOD RES INT, V43, P1844, DOI 10.1016/j.foodres.2010.05.001
   Deser C, 2012, CLIM DYNAM, V38, P527, DOI 10.1007/s00382-010-0977-x
   Duchêne E, 2005, AGRON SUSTAIN DEV, V25, P93, DOI 10.1051/agro:2004057
   Duchêne E, 2012, THEOR APPL GENET, V124, P623, DOI 10.1007/s00122-011-1734-1
   Duchêne E, 2010, CLIM RES, V41, P193, DOI 10.3354/cr00850
   Flexas J, 2010, AUST J GRAPE WINE R, V16, P106, DOI 10.1111/j.1755-0238.2009.00057.x
   Fraga H, 2014, AGR FOREST METEOROL, V185, P26, DOI 10.1016/j.agrformet.2013.11.003
   Fraga H, 2014, REG ENVIRON CHANGE, V14, P295, DOI 10.1007/s10113-013-0490-y
   Fraga H, 2013, INT J BIOMETEOROL, V57, P909, DOI 10.1007/s00484-012-0617-8
   Fraga H, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0108078
   Greer DH, 2011, AOB PLANTS, DOI 10.1093/aobpla/plr023
   Hannah L, 2013, P NATL ACAD SCI USA, V110, P6907, DOI 10.1073/pnas.1210127110
   Hartigan J. A., 1979, Applied Statistics, V28, P100, DOI 10.2307/2346830
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Jones G. V., 2005, XIV International GESCO Viticulture Congress, Geisenheim, Germany, 23-27 August, 2005, P54
   Jones G. V., 2006, Fine Wine and Terroir the Geopscience Persepective, P203
   Jones GV, 2008, CLIM RES, V35, P241, DOI 10.3354/cr00708
   Jones GV, 2012, INT J GLOBAL WARM, V4, P383, DOI 10.1504/IJGW.2012.049448
   Jones GV, 2005, CLIMATIC CHANGE, V73, P319, DOI 10.1007/s10584-005-4704-2
   Jones GV, 2004, B AM METEOROL SOC, V85, P504
   Jones GV, 2003, TASK VEG SC, V39, P523
   Köse B, 2014, S AFR J ENOL VITIC, V35, P90
   Koufos G, 2014, INT J CLIMATOL, V34, P1445, DOI 10.1002/joc.3775
   Koundouras S, 2008, AGR ECOSYST ENVIRON, V128, P86, DOI 10.1016/j.agee.2008.05.006
   Lopes CM, 2011, SCI HORTIC-AMSTERDAM, V129, P603, DOI 10.1016/j.scienta.2011.04.033
   Lopes J, 2008, CIENC TEC VITIVINIC, V23, P61
   Lorenzo MN, 2013, REG ENVIRON CHANGE, V13, P887, DOI 10.1007/s10113-012-0387-1
   Magalhaes Nuno., 2008, Tratado de Viticultura - A videira, a vinha e o "terroir": 1A
   Malheiro AC, 2013, J INT SCI VIGNE VIN, V47, P287
   Mateus N, 2002, J SCI FOOD AGR, V82, P1689, DOI 10.1002/jsfa.1237
   McMaster GS, 1997, AGR FOREST METEOROL, V87, P291, DOI 10.1016/S0168-1923(97)00027-0
   Menzel A, 2011, INT J BIOMETEOROL, V55, P921, DOI 10.1007/s00484-011-0466-x
   Monteiro A, 2007, AGR ECOSYST ENVIRON, V121, P336, DOI 10.1016/j.agee.2006.11.016
   Moriondo M, 2013, CLIMATIC CHANGE, V119, P825, DOI 10.1007/s10584-013-0739-y
   Moriondo M., 2007, Ital J Agrometeorol, V3, P5, DOI DOI 10.1007/S00425
   Neumann PA, 2014, INT J BIOMETEOROL, V58, P407, DOI 10.1007/s00484-013-0637-z
   Neumann PA, 2011, CLIM RES, V47, P161, DOI 10.3354/cr01000
   Orlandini S., 2005, Rivista Italiana di Agrometeorologia, V2, P37
   Orlandini S, 2009, IDOJARAS, V113, P69
   Parker A, 2013, AGR FOREST METEOROL, V180, P249, DOI 10.1016/j.agrformet.2013.06.005
   Pellegrino A, 2004, PLANT SOIL, V266, P129
   Pham DT, 2005, P I MECH ENG C-J MEC, V219, P103, DOI 10.1243/095440605X8298
   Real AC, 2015, INT J BIOMETEOROL, V59, P1045, DOI 10.1007/s00484-014-0918-1
   Renouf V, 2010, J INT SCI VIGNE VIN, V44, P127
   Ruml M, 2012, AGR FOREST METEOROL, V158, P53, DOI 10.1016/j.agrformet.2012.02.004
   Sadras VO, 2011, AUST J GRAPE WINE R, V17, P199, DOI 10.1111/j.1755-0238.2011.00138.x
   Sadras VO, 2009, FIELD CROP RES, V110, P242, DOI 10.1016/j.fcr.2008.09.004
   Sadras VO, 2013, AGR FOREST METEOROL, V173, P116, DOI 10.1016/j.agrformet.2012.12.005
   Salvador JA, 2005, 16 CASTAS PORTUGUESA, V1
   Spinoni J, 2015, INT J CLIMATOL, V35, P25, DOI 10.1002/joc.3959
   Stocker, 2014, CLIMATE CHANGE 2013
   Tomasi D, 2011, AM J ENOL VITICULT, V62, P329, DOI 10.5344/ajev.2011.10108
   Tonietto J, 2004, AGR FOREST METEOROL, V124, P81, DOI 10.1016/j.agrformet.2003.06.001
   van Leeuwen C, 2004, AM J ENOL VITICULT, V55, P207
   Van Leeuwen C., 2008, P 7 INT TERR C 19 23, P222
   van Leeuwen C, 2013, P NATL ACAD SCI USA, V110, pE3051, DOI 10.1073/pnas.1307927110
   Vaudour E, 2010, REMOTE SENS ENVIRON, V114, P2940, DOI 10.1016/j.rse.2010.08.001
   Webb LB, 2012, NAT CLIM CHANGE, V2, P259, DOI [10.1038/NCLIMATE1417, 10.1038/nclimate1417]
   Webb LB, 2011, GLOBAL CHANGE BIOL, V17, P2707, DOI 10.1111/j.1365-2486.2011.02434.x
   White MA, 2006, P NATL ACAD SCI USA, V103, P11217, DOI 10.1073/pnas.0603230103
   WINKLER A J, 1974, P710
NR 78
TC 42
Z9 50
U1 0
U2 7
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0899-8418
EI 1097-0088
J9 INT J CLIMATOL
JI Int. J. Climatol.
PD JAN
PY 2016
VL 36
IS 1
BP 1
EP 12
DI 10.1002/joc.4325
PG 12
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA DA3XO
UT WOS:000367734800001
DA 2025-01-10
ER

PT J
AU Fatoric, S
   Morén-Alegret, R
AF Fatoric, Sandra
   Moren-Alegret, Ricard
TI Integrating local knowledge and perception for assessing vulnerability
   to climate change in economically dynamic coastal areas: The case of
   natural protected area Aiguamolls de l'Emporda, Spain
SO OCEAN & COASTAL MANAGEMENT
LA English
DT Article
ID LAND-USE CHANGE; SEA-LEVEL RISE; SOCIAL VULNERABILITY; PUBLIC
   PERCEPTIONS; ADAPTIVE CAPACITY; WATER REUSE; CATALONIA; ADAPTATION;
   VARIABILITY; EMPORDA
AB Climate change seems likely that will greatly affect natural protected areas and other vulnerable areas such as Mediterranean. Thus Aiguamolls de l'Emporda can be regarded as a key case study to assess current knowledge and perceptions of the potential climate change effects on the coastal population and economies in the Spanish Mediterranean region.
   This study finds out that it is essential to gather and integrate local traditional knowledge with scientific knowledge in order to develop successful responses to climate change. Furthermore, it supports the position that vulnerability analysis must be participatory and must include social, cultural, environmental, economic and political dimensions, like it was the case in this research.
   According to the quantitative and qualitative data gathered, major climate change effects such as increase in air temperature over the past few decades, a decrease in precipitation but increase in its intensity, the increase in the severity of droughts, and the decrease in biodiversity and ecosystem services are the most pressing climate change effects and serious threats to the observed area. In addition to this, the location of the coastal municipalities (their exposure) also makes them directly vulnerable to coastal erosion, saltwater intrusion and sea level rise. Stakeholders also found that climate change adaptation is needed and this finding may suggest that even if cost of adaptation is high, further losses to the economy and ecosystems might be even higher. (C) 2013 Elsevier Ltd. All rights reserved.
C1 [Fatoric, Sandra; Moren-Alegret, Ricard] Autonomous Univ Barcelona, Dept Geog, GRM, E-08193 Barcelona, Spain.
C3 Autonomous University of Barcelona
RP Fatoric, S (corresponding author), Autonomous Univ Barcelona, Dept Geog, GRM, Bldg B,Campus UAB, E-08193 Barcelona, Spain.
EM sandra.fatoric@uab.es; ricard.moren@uab.es
RI /AAC-3657-2020; Morén-Alegret, Ricard/F-6956-2016
OI Fatoric, Sandra/0000-0002-3712-0749; Moren-Alegret,
   Ricard/0000-0002-1581-7131
FU Spanish Ministry for Research and Innovation [CSO2009-13909]; AGAUR,
   Research Agency of the Catalan Autonomous Government, Spain [FI-DGR
   2011]
FX This study was supported by the Spanish Ministry for Research and
   Innovation [grant number CSO2009-13909] and by AGAUR, Research Agency of
   the Catalan Autonomous Government, Spain [grant number FI-DGR 2011]. The
   authors would like to thank the Ocean & Coastal Management editor and
   anonymous reviewers for their useful and kind comments on an earlier
   version of this article.
CR Aaheim A, 2012, GLOBAL ENVIRON CHANG, V22, P959, DOI 10.1016/j.gloenvcha.2012.06.005
   Adger W.N., 2004, New indicators of vulnerability and adaptive capacity
   Adger WN, 1999, WORLD DEV, V27, P249, DOI 10.1016/S0305-750X(98)00136-3
   [Anonymous], OFF POP FIG SPAN MUN
   [Anonymous], WORLD ACAD SCI ENG T
   [Anonymous], THESIS U GIRONA GIRO
   [Anonymous], INFORM ESTAT TENDENC
   [Anonymous], TREBALLS ICHN
   [Anonymous], PROY LEY PROT USO SO
   [Anonymous], WHAT IS CLIM
   [Anonymous], EL TERR SOL SALV EBR
   [Anonymous], ENV SUSTATINBALE DEV
   [Anonymous], CANVI CLIMATIC SOM T
   [Anonymous], STAT YB CAT LAB
   [Anonymous], 2004, B AGE
   [Anonymous], TREB SOC CATAL GEOGR
   [Anonymous], EST PIB TUR CAT MAR
   [Anonymous], STAT PRESS MARIN COA
   [Anonymous], DOCUMENTS RECERCA GE
   [Anonymous], STAT YB CAT EC MACR
   [Anonymous], CHAR MED WETL
   [Anonymous], GOV ART OV BARR AD
   [Anonymous], STAT YB CAT AGR LIV
   [Anonymous], AIGUAMOLLS EMPORDA A
   [Anonymous], ANALISIS PROSPECTIVV
   [Anonymous], TECHNICAL REPORT
   [Anonymous], STAT YB CAT TERR ENV
   [Anonymous], AIG CANV CLIM DIAGN
   [Anonymous], EST ZON COST CAT RES
   [Anonymous], MUN POP REG SEX AG
   Bach J., 1986, Acta Geologica Hispanica, V21, P195
   Badia A, 2011, APPL GEOGR, V31, P930, DOI 10.1016/j.apgeog.2011.01.016
   [Baede A.P.M. IPCC IPCC], 2007, Climate Change 2007: The Physical Science Basis
   Bardsley DK, 2012, GLOBAL ENVIRON CHANG, V22, P713, DOI 10.1016/j.gloenvcha.2012.04.003
   Barnolas M, 2007, NAT HAZARD EARTH SYS, V7, P271, DOI 10.5194/nhess-7-271-2007
   Bier VM, 2001, RELIAB ENG SYST SAFE, V71, P139, DOI 10.1016/S0951-8320(00)00090-9
   Bord RJ, 1998, CLIMATE RES, V11, P75, DOI 10.3354/cr011075
   Brenner J, 2010, OCEAN COAST MANAGE, V53, P27, DOI 10.1016/j.ocecoaman.2009.10.008
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Buzinde CN, 2010, ANN TOURISM RES, V37, P333, DOI 10.1016/j.annals.2009.09.006
   Cameron TA, 2005, J RISK UNCERTAINTY, V30, P63, DOI 10.1007/s11166-005-5833-8
   Candela L, 2007, SCI TOTAL ENVIRON, V374, P26, DOI 10.1016/j.scitotenv.2006.12.028
   Chowdhury PDhar., 2008, Prairie Perspectives: Geographical Essays, V11, P99
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   DeLyser D, 2013, PROG HUM GEOG, V37, P293, DOI 10.1177/0309132512444063
   Diggs D., 1991, GT PLAINS RES, V1, P114
   El Raey M, 1999, CLIM RES, V12, P117, DOI 10.3354/cr012117
   Emmi P. C., 1989, Land Use Policy, V6, P103, DOI 10.1016/0264-8377(89)90037-9
   Eriksen S, 2011, CLIM DEV, V3, P7, DOI 10.3763/cdev.2010.0060
   Fatoric S, 2012, OCEAN COAST MANAGE, V60, P1, DOI 10.1016/j.ocecoaman.2011.12.015
   Fordham M., 2003, Natural Disasters and Development in a Globalising World, P57
   Gimenez J, 1996, TECTONOPHYSICS, V263, P149, DOI 10.1016/S0040-1951(96)00037-6
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Hurlimann A, 2011, GLOBAL ENVIRON CHANG, V21, P1084, DOI 10.1016/j.gloenvcha.2011.03.003
   Kakota T, 2011, CLIM DEV, V3, P298, DOI 10.1080/17565529.2011.627419
   Kellens W, 2013, RISK ANAL, V33, P24, DOI 10.1111/j.1539-6924.2012.01844.x
   Kellstedt PM, 2008, RISK ANAL, V28, P113, DOI 10.1111/j.1539-6924.2008.01010.x
   Leiserowitz A., 2007, International public opinion, perception, and understanding of global, V2008, P1
   Leiserowitz AA, 2005, RISK ANAL, V25, P1433, DOI 10.1111/j.1540-6261.2005.00690.x
   Leiserowitz A, 2006, CLIMATIC CHANGE, V77, P45, DOI 10.1007/s10584-006-9059-9
   Llasat MC, 2009, NAT HAZARD EARTH SYS, V9, P1201, DOI 10.5194/nhess-9-1201-2009
   Lung T, 2013, GLOBAL ENVIRON CHANG, V23, P522, DOI 10.1016/j.gloenvcha.2012.11.009
   Mas-Pla J, 1999, J HYDROL, V216, P197, DOI 10.1016/S0022-1694(99)00009-8
   McBean G, 2009, CURR OPIN ENV SUST, V1, P179, DOI 10.1016/j.cosust.2009.10.006
   McCright AM, 2010, POPUL ENVIRON, V32, P66, DOI 10.1007/s11111-010-0113-1
   Mendoza C, 2013, PROG HUM GEOG, V37, P762, DOI 10.1177/0309132512473867
   Morén-Alegret R, 2008, POPUL SPACE PLACE, V14, P537, DOI 10.1002/psp.516
   Mozumder P, 2011, OCEAN COAST MANAGE, V54, P37, DOI 10.1016/j.ocecoaman.2010.10.008
   Mubaya CP, 2012, J ENVIRON MANAGE, V102, P9, DOI 10.1016/j.jenvman.2012.02.005
   Mustelin J, 2010, POPUL ENVIRON, V31, P371, DOI 10.1007/s11111-010-0107-z
   Neuwirth K, 2000, RISK ANAL, V20, P721, DOI 10.1111/0272-4332.205065
   Nicholls RJ, 2010, SCIENCE, V328, P1517, DOI 10.1126/science.1185782
   Ogalleh SA, 2012, SUSTAINABILITY-BASEL, V4, P3302, DOI 10.3390/su4123302
   Pavón D, 2003, J ARID ENVIRON, V54, P543, DOI 10.1006/jare.2002.1077
   Quintana X.D., 2002, LIMNETICA, V21, P25
   Rabe B.G., 2012, Issues in Governance Studies
   Roca E, 2012, OCEAN COAST MANAGE, V60, P38, DOI 10.1016/j.ocecoaman.2012.01.002
   Casals FR, 2009, DOC ANAL GEOGR, V53, P71
   Romagosa F., 2008, INVESTIG GEOGRAF, V46, P107
   Ruddell D, 2012, CLIMATIC CHANGE, V111, P581, DOI 10.1007/s10584-011-0165-y
   Saura-Mas S, 2005, ACTA OECOL, V27, P129, DOI 10.1016/j.actao.2004.12.001
   Sauri D., 2000, Journal of Environmental Planning and Management, V43, P277, DOI 10.1080/09640560010711
   SAURI D, 1995, DIRECTIONS EUROPEAN, P169
   Saurí-Pujol D, 2001, APPL GEOGR, V21, P127, DOI 10.1016/S0143-6228(01)00003-0
   Seguí L, 2009, DESALINATION, V246, P179, DOI 10.1016/j.desal.2008.03.051
   Semenza JC, 2008, AM J PREV MED, V35, P479, DOI 10.1016/j.amepre.2008.08.020
   Serra P, 2008, APPL GEOGR, V28, P189, DOI 10.1016/j.apgeog.2008.02.001
   Ruiz PS, 2006, DOC ANAL GEOGR, V48, P123
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Spence A, 2011, NAT CLIM CHANGE, V1, P46, DOI [10.1038/nclimate1059, 10.1038/NCLIMATE1059]
   Sui D, 2012, PROG HUM GEOG, V36, P111, DOI 10.1177/0309132510392164
   TAYLOR JG, 1988, ENVIRON BEHAV, V20, P150, DOI 10.1177/0013916588202002
   Terpstra T, 2009, RISK ANAL, V29, P1141, DOI 10.1111/j.1539-6924.2009.01252.x
   Valdemoro HI, 2006, COAST MANAGE, V34, P405, DOI 10.1080/08920750600860324
   Weber EU, 2010, WIRES CLIM CHANGE, V1, P332, DOI 10.1002/wcc.41
   Whitmarsh L, 2011, GLOBAL ENVIRON CHANG, V21, P690, DOI 10.1016/j.gloenvcha.2011.01.016
NR 96
TC 16
Z9 18
U1 0
U2 56
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0964-5691
EI 1873-524X
J9 OCEAN COAST MANAGE
JI Ocean Coastal Manage.
PD DEC
PY 2013
VL 85
BP 90
EP 102
DI 10.1016/j.ocecoaman.2013.09.010
PN A
PG 13
WC Oceanography; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Oceanography; Water Resources
GA 294XD
UT WOS:000330080300010
DA 2025-01-10
ER

PT J
AU Rosen, AM
   Rivera-Collazo, I
AF Rosen, Arlene M.
   Rivera-Collazo, Isabel
TI Climate change, adaptive cycles, and the persistence of foraging
   economies during the late Pleistocene/Holocene transition in the Levant
SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
   AMERICA
LA English
DT Article
DE agricultural origins; Epipaleolithic; hunter-gatherers; Israel
ID SUBSISTENCE ECOLOGY; RESILIENCE THEORY; YOUNGER DRYAS; LANDSCAPE;
   ORIGINS; CULTIVATION; COMPLEXITY; TORTOISE; EVENTS; PLANT
AB Climatic forcing during the Younger Dryas (similar to 12.9-11.5 ky B.P.) event has become the theoretical basis to explain the origins of agricultural lifestyles in the Levant by suggesting a failure of foraging societies to adjust. This explanation however, does not fit the scarcity of data for predomestication cultivation in the Natufian Period. The resilience of Younger Dryas foragers is better illustrated by a concept of adaptive cycles within a theory of adaptive change (resilience theory). Such cycles consist of four phases: release/collapse (Omega); reorganization (alpha), when the system restructures itself after a catastrophic stimulus through innovation and social memory-a period of greater resilience and less vulnerability; exploitation (r); and conservation (K), representing an increasingly rigid system that loses flexibility to change. The Kebarans and Late Natufians had similar responses to cold and dry conditions vs. Early Natufians and the Pre-Pottery Neolithic A responses to warm and wet climates. Kebarans and Late Natufians (alpha-phase) shifted to a broader-based diet and increased their mobility. Early Natufian and Pre-Pottery Neolithic A populations (r- and K-phases) had a growing investment in more narrowly focused, high-yield plant resources, but they maintained the broad range of hunted animals because of increased sedentism. These human adaptive cycles interlocked with plant and animal cycles. Forest and grassland vegetation responded to late Pleistocene and early Holocene climatic fluctuations, but prey animal cycles reflected the impact of human hunting pressure. The combination of these three adaptive cycles results in a model of human adaptation, showing potential for great sustainability of Levantine foraging systems even under adverse climatic conditions.
C1 [Rosen, Arlene M.; Rivera-Collazo, Isabel] UCL, Inst Archaeol, London WC1H 0PY, England.
   [Rivera-Collazo, Isabel] Univ Puerto Rico, Dept Sociol & Anthropol, Rio Piedras, PR 00931 USA.
C3 University of London; University College London; University of Puerto
   Rico; University of Puerto Rico Rio Piedras
RP Rosen, AM (corresponding author), UCL, Inst Archaeol, Mortimer St, London WC1H 0PY, England.
EM a.rosen@ucl.ac.uk
RI Rivera-Collazo, Isabel/O-7808-2019; Rivera-Collazo, Isabel
   C./W-3100-2018
OI Rivera-Collazo, Isabel C./0000-0002-6857-2318
CR Alley RB, 2000, QUATERNARY SCI REV, V19, P213, DOI 10.1016/S0277-3791(99)00062-1
   Anadón JD, 2006, BIODIVERS CONSERV, V15, P2287, DOI 10.1007/s10531-004-8226-4
   [Anonymous], 2002, DAWN FARMING NEAR E
   Asouti E, 2012, VEG HIST ARCHAEOBOT, V21, P149, DOI 10.1007/s00334-011-0332-0
   Bar-Matthews M, 1999, EARTH PLANET SC LETT, V166, P85, DOI 10.1016/S0012-821X(98)00275-1
   Bar-Oz G, 2003, J ARCHAEOL SCI, V30, P885, DOI 10.1016/S0305-4403(02)00268-6
   Bar-Oz G, 2007, J ARCHAEOL SCI, V34, P946, DOI 10.1016/j.jas.2006.09.006
   Bar-Yosef O., 1989, Foraging and farming: the evolution of plant exploitation., P632
   Bar-Yosef O., 1991, Between bands and states. Center for Archaeological Investigations Occasional Paper No. 9, P181
   Bar-Yosef O., 2002, Beyond Foraging and Collecting: Evolutionary Change in Hunter-Gatherer Settlement Systems, P91, DOI [10.1007/978-1-4615-0543-35, DOI 10.1007/978-1-4615-0543-35]
   Baruch U., 1999, Ancient Lakes: Their Cultural and Biological Diversity, P75
   BARYOSEF O, 1989, J WORLD PREHIST, V3, P447, DOI 10.1007/BF00975111
   Colledge S, 2010, ENVIRON ARCHAEOL, V15, P124, DOI 10.1179/146141010X12640787648504
   Colledge Sue., 2001, Plant Exploitation on Epipalaeolithic and Early Neolithic Sites in the Levant
   Danin A., 1988, The zoogeography of Israel. The distribution and abundance at a zoogeographical crossroad, P129
   Dearing JA, 2008, HOLOCENE, V18, P117, DOI 10.1177/0959683607085601
   Edwards P., 2004, PALEO, V30, P21, DOI [DOI 10.3406/PALEO.2004.1010, 10.3406/paleo.2004.1010, DOI 10.3406/paleo.2004.1010]
   Fuller DQ, 2012, VEG HIST ARCHAEOBOT, V21, P131, DOI 10.1007/s00334-011-0329-8
   Fuller DQ, 2012, J EXP BOT, V63, P617, DOI 10.1093/jxb/err307
   Garcea E.A.A., 2010, SE MEDITERRANEAN PEO, P144
   Goring-Morris A.N., 2003, Perceived Landscapes and Built Environments, P65
   Goring-Morris N., 1998, The Archaeology of Society in the Holy Land, P141
   Grosman Leore., 2007, Before Farming, V7, P1
   Haberle SG, 2004, QUATERN INT, V118, P165, DOI 10.1016/S1040-6182(03)00136-8
   Henry D.O., 1989, FORAGING AGR LEVANT
   Holling C.S., 2002, PANARCHY, P3
   Holling CS, 2001, ECOSYSTEMS, V4, P390, DOI 10.1007/s10021-001-0101-5
   Hovers E, 1989, BAR INT SERIES, V508, P37
   Kronfeld N, 1996, J MAMMAL, V77, P171, DOI 10.2307/1382718
   Kuijt I, 2002, J WORLD PREHIST, V16, P361, DOI 10.1023/A:1022973114090
   Kuijt I, 2009, P NATL ACAD SCI USA, V106, P10966, DOI 10.1073/pnas.0812764106
   Low B., 1990, Risk and Uncertainty in Tribal and Peasant Economies, P229
   Martin L, 2000, J ZOOL, V250, P13
   MCCORRISTON J, 1991, AM ANTHROPOL, V93, P46, DOI 10.1525/aa.1991.93.1.02a00030
   Meltzer DJ, 1999, QUATERNARY RES, V52, P404, DOI 10.1006/qres.1999.2067
   MOORE AMT, 1992, AM ANTIQUITY, V57, P482, DOI 10.2307/280936
   Munro ND, 2004, CURR ANTHROPOL, V45, pS5, DOI 10.1086/422084
   OLSZEWSKI DI, 1993, AM ANTHROPOL, V95, P420, DOI 10.1525/aa.1993.95.2.02a00080
   Orni Efraim., 1980, Geography of Israel, V4
   Piperno DR, 2004, NATURE, V430, P670, DOI 10.1038/nature02734
   Redman CL, 2003, CONSERV ECOL, V7
   Roberts N, 2002, ANTIQUITY, V76, P1002, DOI 10.1017/S0003598X0009181X
   Robinson SA, 2006, QUATERNARY SCI REV, V25, P1517, DOI 10.1016/j.quascirev.2006.02.006
   Rosen A.M., 2007, CIVILIZING CLIMATE S
   Rosen Arlene., 2010, Eurasian Prehistory, V7, P117
   Scarascia-Mugnozza G, 2000, FOREST ECOL MANAG, V132, P97, DOI 10.1016/S0378-1127(00)00383-2
   Smith BD, 2001, J ARCHAEOL RES, V9, P1, DOI 10.1023/A:1009436110049
   Stiner MC, 2000, CURR ANTHROPOL, V41, P39, DOI 10.1086/300102
   Stutz AJ, 2009, J HUM EVOL, V56, P294, DOI 10.1016/j.jhevol.2008.10.004
   Terrell JE, 2003, J ARCHAEOL METHOD TH, V10, P323, DOI 10.1023/B:JARM.0000005510.54214.57
   Valla F. R., 1998, ARCHAEOLOGY SOC HOLY, P169
   Weinstein-Evron M., 1990, Feuilles de pierre: les industries a pointes foliacees du paleolithique superieur Europeen, V42, P9
   Weiss E, 2004, P NATL ACAD SCI USA, V101, P9551, DOI 10.1073/pnas.0402362101
   Weiss H, 2001, SCIENCE, V291, P609, DOI 10.1126/science.1058775
   Willcox G, 2005, VEG HIST ARCHAEOBOT, V14, P534, DOI 10.1007/s00334-005-0075-x
   Willcox G, 2012, VEG HIST ARCHAEOBOT, V21, P163, DOI 10.1007/s00334-011-0307-1
   Yasuda Y, 2000, QUATERN INT, V73-4, P127, DOI 10.1016/S1040-6182(00)00069-0
NR 57
TC 119
Z9 130
U1 3
U2 83
PU NATL ACAD SCIENCES
PI WASHINGTON
PA 2101 CONSTITUTION AVE NW, WASHINGTON, DC 20418 USA
SN 0027-8424
J9 P NATL ACAD SCI USA
JI Proc. Natl. Acad. Sci. U. S. A.
PD MAR 6
PY 2012
VL 109
IS 10
BP 3640
EP 3645
DI 10.1073/pnas.1113931109
PG 6
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI); Arts &amp; Humanities Citation Index (A&amp;HCI)
SC Science & Technology - Other Topics
GA 903LJ
UT WOS:000301117700016
PM 22371591
OA Green Published
DA 2025-01-10
ER

PT J
AU Romieu, E
   Welle, T
   Schneiderbauer, S
   Pelling, M
   Vinchon, C
AF Romieu, E.
   Welle, T.
   Schneiderbauer, S.
   Pelling, M.
   Vinchon, C.
TI Vulnerability assessment within climate change and natural hazard
   contexts: revealing gaps and synergies through coastal applications
SO SUSTAINABILITY SCIENCE
LA English
DT Article
DE Vulnerability; Coastal zone; Climate change; Natural hazard; Adaptation;
   Disaster risk reduction
ID DISASTER RISK; TSUNAMI; CHALLENGES; RESILIENCE; MANAGEMENT; SCOPE
AB The climate change and natural hazard communities have developed the notion of vulnerability and associated methods for its assessment in parallel, with only limited interaction. What are the underlying reasons for this diversity; is there advantage in greater synergy? If yes, what are the pathways through which greater integration could be fostered? This paper discusses these issues using vulnerability studies in coastal areas to describe gaps between climate change and natural hazard approaches, and investigates scope for mutual learning and collaboration in the development of methodologies for vulnerability assessment. An overview of methods highlights the separation between climate change and natural hazard approaches. The main differences identified, beyond formal divergences in terminology, are linked to: process (stress vs shock), scale (temporal, functional and spatial), assessment approach (statistical vs prospective) and levels of uncertainty. We argue that the underlying source of divergence is the initial difference of purpose, one being identification of climate change adaptation pathways, the other being disaster risk reduction. In this context, the notion of vulnerability and its expression through assessment studies is the focal point connecting both domains. Indeed, the ongoing and active development of vulnerability concepts and methods have already produced some tools to help overcome common issues, such as acting in a context of high uncertainties, taking into account the dynamics and spatial scale of a social-ecological system, or gathering viewpoints from different sciences to combine human and impact-based approaches. Based on this assessment, this paper proposes concrete perspectives and possibilities to benefit from existing commonalities in the construction and application of assessment tools.
C1 [Romieu, E.; Vinchon, C.] Bur Rech Geol & Minieres, F-45060 Orleans 2, France.
   [Welle, T.] United Nations Univ, Inst Environm & Human Secur UNU EHS, D-53113 Bonn, Germany.
   [Schneiderbauer, S.] EURAC, Inst Appl Remote Sensing, I-39100 Bolzano, Italy.
   [Pelling, M.] Kings Coll London, Dept Geog, London, England.
C3 Bureau de Recherches Geologiques et Minieres (BRGM); European Academy of
   Bozen-Bolzano; University of London; King's College London
RP Romieu, E (corresponding author), Bur Rech Geol & Minieres, 3 Av C Guillemin, F-45060 Orleans 2, France.
EM eromieu@gmail.com; welle@ehs.unu.edu; stefan.schneiderbauer@eurac.edu;
   mark.pelling@kcl.ac.uk; c.vinchon@brgm.fr
RI Schneiderbauer, Stefan/E-8662-2017
OI Pelling, Mark/0000-0002-6472-9875; Schneiderbauer,
   Stefan/0000-0001-7587-849X
FU FP7 research project; Direct For Social, Behav & Economic Scie; Division
   Of Behavioral and Cognitive Sci [0937777] Funding Source: National
   Science Foundation
FX This paper has been made possible by the FP7 research project MOVE
   (methods for the improvement of vulnerability assessment in Europe),
   which brings together scientists from different disciplines and domains.
   We are very grateful to all of the MOVE team and to the European
   Commission for allowing, thanks to this project, constructive
   interdisciplinary exchanges, which are powerful means to overcome many
   challenges associated with vulnerability assessment. We acknowledge and
   support efforts from institutions to use vulnerability as a key concept
   for connecting climate change adaptation and disaster risk reduction.
   Part of the presented costal vulnerability review is extracted from a
   study commissioned by the French Environmental Ministry (Romieu and
   Vinchon 2009).
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   [Anonymous], 2009, Global assessment report on disaster risk reduction
   [Anonymous], 2020, INNOVATIVE APPROACHE
   [Anonymous], 7 STEPS VULN ASS COA
   [Anonymous], HUM LINK COAST DIS
   BIRKMANN J, 2009, DKKV PUBLICATION SER, V38, P35
   Birkmann J., 2006, Measuring Vulnerability to Natural Hazards-Towards Disaster Resilient Societies, V01, P9
   Birkmann J, 2008, DISASTERS, V32, P82, DOI 10.1111/j.1467-7717.2007.01028.x
   BORUFF BJ, 2005, J COASTAL RES, V942, P21
   Cardona O.D, 2004, MAPPING VULNERABILIT, P37
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Füssel HM, 2007, GLOBAL ENVIRON CHANG, V17, P155, DOI 10.1016/j.gloenvcha.2006.05.002
   Garcin M, 2008, NAT HAZARD EARTH SYS, V8, P577, DOI 10.5194/nhess-8-577-2008
   HAASNOOT M, 2009, GEOPHYS RES ABSTR, V11
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Harvey N, 2008, SUSTAIN SCI, V3, P67, DOI 10.1007/s11625-008-0041-5
   Hoozemans FMJ., 1993, GLOBAL VULNERABILITY
   IDIER D, 2009, GEOPH RES ABSTR, V11
   JONKMAN SN, 2008, ECOL ECON, V90, P66
   Kaplan M, 2009, NAT HAZARD EARTH SYS, V9, P1479, DOI 10.5194/nhess-9-1479-2009
   Klein RJT, 1999, AMBIO, V28, P182
   Klinke A, 2002, RISK ANAL, V22, P1071, DOI 10.1111/1539-6924.00274
   MCFADDEN L, 2006, FHRC PUBLICATION
   McLaughlin S, 2002, J COASTAL RES, P487
   MENDOZA ET, 2008, THESIS TU CATALONIA
   Meur-Férec C, 2008, J COASTAL RES, V24, P178, DOI 10.2112/05-0609.1
   Mitchell Tom., 2008, Convergence of Disaster Risk Reduction and Climate Change Adaptation
   NICHOLLS RJ, 1995, WORLD COAST 93, P1
   OBRIAN K, 2004, 200404 CICERO
   *OFF EM PREP, 1972, EX OFF PRES US OEP E
   Pelling M., 2001, Environmental Hazards, V3, P49
   Pelling M, 2007, DISASTERS, V31, P373, DOI 10.1111/j.1467-7717.2007.01014.x
   Pelling Mark., 2001, SOCIAL NATURE, P170
   Post J, 2009, NAT HAZARD EARTH SYS, V9, P1075, DOI 10.5194/nhess-9-1075-2009
   Reese S, 2007, NAT HAZARD EARTH SYS, V7, P573, DOI 10.5194/nhess-7-573-2007
   ROMIEU E, 2009, BRGMRP57389FR
   Schipper L, 2006, DISASTERS, V30, P19, DOI 10.1111/j.1467-9523.2006.00304.x
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Taubenböck H, 2009, NAT HAZARD EARTH SYS, V9, P1509, DOI 10.5194/nhess-9-1509-2009
   Thieler E.R., 2000, NATL ASSESSMENT COAS, DOI [10.3133/ofr99593, DOI 10.3133/OFR99593]
   Thywissen K., 2006, Components of Risk
   Tompkins EL, 2004, ECOL SOC, V9
   Turner II BL, 2003, FRAMEWORK VULNERABIL
   UNDRO, 1984, DIS PREV MIT COMP CU
   UNITED NATIONS, 2009, INT STRAT DIS RED
   Vafeidis AT, 2008, J COASTAL RES, V24, P917, DOI 10.2112/06-0725.1
   VINCHON C, 2009, MISE PLACE DUNE APPR
   Yamada K., 1995, J GLOBAL ENV ENG, V1, P101
NR 49
TC 74
Z9 89
U1 1
U2 90
PU SPRINGER JAPAN KK
PI TOKYO
PA SHIROYAMA TRUST TOWER 5F, 4-3-1 TORANOMON, MINATO-KU, TOKYO, 105-6005,
   JAPAN
SN 1862-4065
EI 1862-4057
J9 SUSTAIN SCI
JI Sustain. Sci.
PD JUL
PY 2010
VL 5
IS 2
BP 159
EP 170
DI 10.1007/s11625-010-0112-2
PG 12
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 616RT
UT WOS:000279227200003
DA 2025-01-10
ER

PT J
AU De Luca, F
AF De Luca, Francesco
TI Advances in Climatic Form Finding in Architecture and Urban Design
SO ENERGIES
LA English
DT Article
DE building and urban form generation; sustainable built environment;
   climate adaptation; energy use reduction; energy generation; indoor and
   outdoor comfort; computational design
ID SOLAR ENVELOPE; PARAMETRIC DESIGN; COMFORT ANALYSIS; ENERGY; DAYLIGHT;
   DENSITY
AB Researchers, architects and planners are increasingly urged to develop and apply sustainable methods and solutions to reduce the impact of the built environment on climate, adapt cities to climate change and reduce or eliminate resource depletion and building-related carbon emissions. In recent years, taking advantage of state-of-the-art computational and environmental design tools, researchers and designers are developing new digital workflows, methods and solutions to investigate climate-optimal and performative buildings and urban forms. This perspective paper analyses state-of-the-art computational methods; form generation processes; and tools, criteria and workflows that present how these are integrated into climatic form finding, allowing the improvement of building and urban environmental performances. Additionally, current challenges and future directions are presented.
C1 [De Luca, Francesco] Tallinn Univ Technol, Acad Architecture & Urban Studies, Dept Civil Engn & Architecture, Ehitajate Tee 5,U03-424, EE-19086 Tallinn, Estonia.
C3 Tallinn University of Technology
RP De Luca, F (corresponding author), Tallinn Univ Technol, Acad Architecture & Urban Studies, Dept Civil Engn & Architecture, Ehitajate Tee 5,U03-424, EE-19086 Tallinn, Estonia.
EM francesco.deluca@taltech.ee
RI De Luca, Francesco/G-8392-2017
OI De Luca, Francesco/0000-0002-5762-9446
FU Smart City Center of Excellence [AR20013]
FX The research was supported by the grant Smart City Center of Excellence
   number AR20013.
CR Abdollahzadeh N, 2022, FRONT ARCHIT RES, V11, P453, DOI 10.1016/j.foar.2022.02.001
   Abergel T., 2019, GLOBAL STATUS REPORT
   AIT, CIL INFRARED INT FRA
   Aleksandrowicz O, 2020, SUSTAIN CITIES SOC, V53, DOI 10.1016/j.scs.2019.101931
   [Anonymous], 2011, Roadmap to a resource efficient Europe. Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions. No. COM (2011), P571
   [Anonymous], Energyplus
   Bernett Allison., 2019, Building Simulation Conference Proceedings, V3, P1617
   Brode P., 2010, P C AD CHANG NEW THI
   Bueno B, 2013, J BUILD PERFORM SIMU, V6, P269, DOI 10.1080/19401493.2012.718797
   Capeluto IG, 2001, SOL ENERGY, V70, P275, DOI 10.1016/S0038-092X(00)00088-8
   Czachura A, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12101575
   Darula S, 2015, ENRGY PROCED, V78, P1245, DOI 10.1016/j.egypro.2015.11.266
   De Luca F., 2021, P BUILDING SIMULATIO, P2451
   De Luca F., 2018, SIMUL SER, V50, P47
   De Luca F., 2017, COMPUTER AIDED ARCHI, V724, P170
   De Luca F., 2023, P 20 INT C CAAD FUTU
   De Luca F., 2019, INTEGRATED ENV PERFO, P3
   De Luca F, 2022, BUILD ENVIRON, V217, DOI 10.1016/j.buildenv.2022.109110
   De Luca F, 2022, COMM COM INF SC, V1465, P473, DOI 10.1007/978-981-19-1280-1_29
   De Luca F, 2020, ECAADE PROC, P57
   De Luca F, 2021, ENERG BUILDINGS, V238, DOI 10.1016/j.enbuild.2021.110831
   De Luca F, 2021, AUTOMAT CONSTR, V123, DOI 10.1016/j.autcon.2020.103518
   De Luca F, 2018, COMPUTING FOR A BETTER TOMORROW, (ECAADE 2018), VOL 2, P585
   De Luca F, 2019, COMM COM INF SC, V1028, P15, DOI 10.1007/978-981-13-8410-3_2
   De Luca F, 2019, BUILD SIMUL-CHINA, V12, P817, DOI 10.1007/s12273-019-0561-1
   De Luca F, 2018, MANAG ENVIRON QUAL, V29, P978, DOI 10.1108/MEQ-01-2018-0008
   De Luca F, 2017, ECAADE 2017: SHARING OF COMPUTABLE KNOWLEDGE! (SHOCK!), VOL 2, P431
   Di Nunzio A., MORPHO
   Di Nunzio A., DF ENVIMET
   Dogan T, 2021, BUILD ENVIRON, V196, DOI 10.1016/j.buildenv.2021.107762
   Dogan T, 2017, ENERG BUILDINGS, V140, P140, DOI 10.1016/j.enbuild.2017.01.030
   Duering S., 2020, P 11 INT S SIMULATIO, P503
   dynamobim, AUT DYN BIM
   envimet, ENVI MET GMBH ENVI M
   European Commission, 2018, The European Green Deal COM (2019) 640 final, DOI [10.2833/9937, DOI 10.2833/9937]
   Formolli M., 2022, SOL ENERGY ADV, V2, P100023, DOI [10.1016/j.seja.2022.100023, DOI 10.1016/J.SEJA.2022.100023]
   Gendemer J., 1978, DISCOMFORT DUE WIND
   Gumowski K, 2015, B POL ACAD SCI-TECH, V63, P729, DOI 10.1515/bpasts-2015-0084
   Hong TZ, 2020, BUILD ENVIRON, V168, DOI 10.1016/j.buildenv.2019.106508
   Höppe P, 1999, INT J BIOMETEOROL, V43, P71, DOI 10.1007/s004840050118
   Illuminating Engineering Society, 2013, LM8312 IES
   Jakubiec J.A., 2011, DAYSIM ENERGYPLUS PR, V2011, P2202
   Kabosová L, 2022, BUILD ENVIRON, V226, DOI 10.1016/j.buildenv.2022.109668
   Kastner P., 2023, BUILD ENVIRON, DOI [10.2139/ssrn.4334304, DOI 10.2139/SSRN.4334304]
   Kastner P, 2022, BUILD ENVIRON, V212, DOI 10.1016/j.buildenv.2021.108639
   Knowles R., 1975, 'Energy and Form: An Ecological Approach to Urban Growth'
   Knowles RL, 2003, ENERG BUILDINGS, V35, P15, DOI 10.1016/S0378-7788(02)00076-2
   Ladybug Tools, LLC LAD TOOLS
   Ladybug Tools LLC, DRAG
   Lawson T.V., 1975, P 4 INT C WIND EFF B, P605
   LAWSON TV, 1978, J IND AERODYNAM, V3, P93, DOI 10.1016/0167-6105(78)90002-8
   Lechner N., 2015, HEATING COOLING LIGH
   Li JJ, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12101710
   Lobaccaro G, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16193574
   Lobaccaro G, 2014, ENRGY PROCED, V48, P1559, DOI 10.1016/j.egypro.2014.02.176
   Luitjohan S., 2022, P 2022 ANN MOD SIM C, VVolume 54, P119
   Marsh A., ECOTECT
   McNeel R., Rhinoceros
   meteonorm, MET MET
   MIT Building Technology Program, URB WEATH GEN
   Naboni E, 2019, RENEW SUST ENERG REV, V113, DOI 10.1016/j.rser.2019.109255
   Natanian J., 2022, P 36 INT C PASS LOW, P842
   Natanian J, 2021, J PHYS CONF SER, V2042, DOI 10.1088/1742-6596/2042/1/012049
   Natanian J, 2021, ENERG BUILDINGS, V240, DOI 10.1016/j.enbuild.2021.110916
   Natanian J, 2020, ENERG BUILDINGS, V224, DOI 10.1016/j.enbuild.2020.110283
   Natanian J, 2020, SUSTAIN CITIES SOC, V56, DOI 10.1016/j.scs.2020.102094
   Natanian J, 2019, J PHYS CONF SER, V1343, DOI 10.1088/1742-6596/1343/1/012006
   Natanian J, 2019, APPL ENERG, V254, DOI 10.1016/j.apenergy.2019.113637
   Nault E, 2015, BUILD ENVIRON, V92, P679, DOI 10.1016/j.buildenv.2015.05.012
   OpenCFD OpenFOAM, US
   Peters T, 2020, BUILD SIMUL CONF PR, P1247, DOI 10.26868/25222708.2019.211380
   Ramboll, GREENSCENARIO
   Reinhart CF, 2001, ENERG BUILDINGS, V33, P683, DOI 10.1016/S0378-7788(01)00058-5
   Reinhart CF, 2006, LEUKOS, V3, P7, DOI 10.1582/LEUKOS.2006.03.01.001
   Reinhart ChristophFrank., 2014, Daylighting Handbook: Fundamentals, Designing With The Sun
   Roudsari MS, 2013, BUILDING SIMULATION 2013: 13TH INTERNATIONAL CONFERENCE OF THE INTERNATIONAL BUILDING PERFORMANCE SIMULATION ASSOCIATION, P3128
   Rutten David., Grasshopper
   Rutten David., EVOLUTIONARY PRINCIP
   Sabri S, 2022, INT ARCH PHOTOGRAMM, V48-4, P117, DOI 10.5194/isprs-archives-XLVIII-4-W4-2022-117-2022
   Sartori I, 2012, ENERG BUILDINGS, V48, P220, DOI 10.1016/j.enbuild.2012.01.032
   Sepulveda A., 2020, P 11 INT S SIM ARCH, P131
   Sepulveda A., 2022, SIMUL SER, V54, P2022
   Sepulveda A, 2022, ECAADE PROC, P649
   Shen Y., 2021, P INT C ED RES COMP, VVolume 1, P477
   Shnapp S., 2020, Enabling Positive Energy Districts across Europe: energy efficiency couples renewable energy
   solemma, SOL CLIM STUD
   Stromann-Andersen J, 2011, ENERG BUILDINGS, V43, P2011, DOI 10.1016/j.enbuild.2011.04.007
   Sustainable Design Lab, URB MOD INT
   Systems B., GENERATIVECOMPONENTS
   Technical Committee CEN/TC 169, 2018, 170372018 CENTC EN C
   thorntontomasetti, THORNT TOM COL
   Tomasetti Thornton, THREAD
   Tomasetti Thornton, DESIGN EXPLORER
   U.S. Department of Energy, ENERGYPLUS WEATH DAT
   United Nations, 2015, No.A/RES/70/1.
   United Nations Department of Economic and Social Affairs Population Division, 2018, WORLD URB PROSP 2018
   Vartholomaios A, 2017, SUSTAIN CITIES SOC, V28, P135, DOI 10.1016/j.scs.2016.09.006
   Vartholomaios A, 2015, ENERG BUILDINGS, V99, P303, DOI 10.1016/j.enbuild.2015.04.046
   Waldram P.J., 1923, J R I BR ARCHIT, V33, P405
   Wang L., 2022, P 27 INT C CAADRIA, P415
   Wang LK, 2022, FRONT ARCHIT RES, V11, P761, DOI 10.1016/j.foar.2022.02.002
   Wang LK, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11246965
   Ward G. J., 1994, Computer Graphics Proceedings. Annual Conference Series 1994. SIGGRAPH 94 Conference Proceedings, P459, DOI 10.1145/192161.192286
   Working Group II, CONTR IPCC 6 ASS REP
   Wortmann T., 2017, Technology|Architecture + Design, V1, P176, DOI DOI 10.1080/24751448.2017.1354615
   Wortmann T, 2017, PROCEEDINGS OF THE 22ND INTERNATIONAL CONFERENCE ON COMPUTER-AIDED ARCHITECTURAL DESIGN RESEARCH IN ASIA (CAADRIA 2017), P283
   Yin ZH, 2022, ECAADE PROC, P629
   Zhang J, 2019, APPL ENERG, V240, P513, DOI 10.1016/j.apenergy.2019.02.033
NR 108
TC 3
Z9 3
U1 2
U2 17
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1996-1073
J9 ENERGIES
JI Energies
PD MAY 6
PY 2023
VL 16
IS 9
AR 3935
DI 10.3390/en16093935
PG 18
WC Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Energy & Fuels
GA G0NC1
UT WOS:000986215200001
OA gold
DA 2025-01-10
ER

PT J
AU Sannan, MC
   Nageswararao, MM
   Mohanty, UC
AF Sannan, M. C.
   Nageswararao, M. M.
   Mohanty, U. C.
TI Performance evaluation of CORDEX-South Asia simulations and future
   projections of northeast monsoon rainfall over south peninsular India
SO METEOROLOGY AND ATMOSPHERIC PHYSICS
LA English
DT Article
ID REGIONAL CLIMATE MODEL; SUMMER MONSOON; INTERANNUAL VARIABILITY;
   PRECIPITATION EXTREMES; BIAS CORRECTION; SA EXPERIMENTS; ENSEMBLE;
   CMIP5; GCM; SCENARIOS
AB The northeast monsoon (October-December; NEM) rainfall is a very important entity to about 250 million people residing in the South Peninsular India (SPI) region as it is their principle rainy season and contributes mostly to their annual rainfall. The aim of the study is to obtain the future projections of NEM rainfall over this region representing three different greenhouse gas emission scenarios (i.e., RCP 2.6, RCP 4.5 and RCP 8.5) for two future time slices, i.e., near (2020-2049) and far future (2070-2099) estimated from a set of high-resolution regional climate simulations performed under CORDEX-SA experiments. To achieve that, first, an assessment of ten CORDEX-SA regional climate model (RCM) simulations is done for NEM rainfall over SPI for present climate (1976-2005) against India Meteorological Department high resolution (0.25o x 0.25o) gridded rainfall analysis dataset. Then, the change in NEM rainfall over SPI in the near and far future is computed after applying standardized reconstruction technique to adjust the bias present in the models. The results suggest that most of the CORDEX-SA experiments are able to simulate the spatial distribution of NEM seasonal rainfall and its variability over SPI but there is an inability in capturing realistic magnitudes and the errors are more over the east and west coast where most of the rainfall occurs. The experiment with RCA4 driven by EC-EARTH global model and REMO2009 driven by MPI-ESM has a fairly lesser bias than the other models, whereas the bias is more in LMDZ-IITM-RegCM4. The experiments by CCAM models have very similar characteristics in representing the rainfall pattern. The standardized reconstruction bias correction technique was found to significantly improve the performance of the climate models in representing the climatological mean and inter-annual variability of (IAV) of NEM rainfall over SPI, but in case of categorical rainfall years, improvement is seen only in the normal rainfall years. In the future, for RCP 2.6, there is a rise in NEM rainfall in the first half of the twenty-first century, which is projected to decline after that; however, in the other two scenarios, the rainfall is projected to increase. It is also found that there may be lesser excess rainfall years and more deficit rainfall years in the RCP 4.5 and 8.5 scenarios in the near future, and no deficit rainfall years are projected in the far future in both these scenarios based on the present climate. It is also noticed that the variability in the NEM rainfall over this region may remarkably increase in all the three future scenarios, which will highly impact various water resources management sectors. Thus, this study is very useful in determining the effects on various sectors due to the variability in NEM rainfall over this region and for adapting to climate change using advanced technologies for a sustainable future.
C1 [Sannan, M. C.; Nageswararao, M. M.; Mohanty, U. C.] Indian Inst Technol Bhubaneswar, Sch Earth Ocean & Climate Sci, Jatni, Odisha, India.
   [Nageswararao, M. M.] Govt India, Minist Earth Sci, Indian Inst Trop Meteorol, Dr Homi Bhaba Rd, Pune 411008, Maharashtra, India.
C3 Indian Institute of Technology System (IIT System); Indian Institute of
   Technology (IIT) - Bhubaneswar; Ministry of Earth Sciences (MoES) -
   India; Indian Institute of Tropical Meteorology (IITM)
RP Nageswararao, MM (corresponding author), Indian Inst Technol Bhubaneswar, Sch Earth Ocean & Climate Sci, Jatni, Odisha, India.; Nageswararao, MM (corresponding author), Govt India, Minist Earth Sci, Indian Inst Trop Meteorol, Dr Homi Bhaba Rd, Pune 411008, Maharashtra, India.
EM muralinagesh.ocean@gmail.com
RI ; Malasala, Murali Nageswara Rao/N-5341-2017
OI Sannan, Mohammed Cassim/0000-0003-0668-9120; Malasala, Murali Nageswara
   Rao/0000-0001-7087-6225
CR Acharya N, 2013, METEOROL APPL, V20, P349, DOI 10.1002/met.1294
   Akhter J, 2017, CLIM DYNAM, V49, P1885, DOI 10.1007/s00382-016-3409-8
   Ali S, 2015, ADV ATMOS SCI, V32, P715, DOI 10.1007/s00376-014-4158-4
   [Anonymous], 1953, INDIAN J METEOR GEOP
   [Anonymous], 2014, CLIMATE CHANGE 2014
   BHASKARAN B, 1995, INT J CLIMATOL, V15, P873, DOI 10.1002/joc.3370150804
   Bollasina MA, 2014, NAT CLIM CHANGE, V4, P422, DOI 10.1038/nclimate2243
   Casanueva A, 2016, CLIM DYNAM, V47, P719, DOI 10.1007/s00382-015-2865-x
   Chaturvedi RK, 2012, CURR SCI INDIA, V103, P791
   Choudhary A, 2019, INT J CLIMATOL, V39, P1388, DOI 10.1002/joc.5889
   Choudhary A, 2018, THEOR APPL CLIMATOL, V134, P283, DOI 10.1007/s00704-017-2274-7
   Choudhary A, 2018, CLIM DYNAM, V50, P3009, DOI 10.1007/s00382-017-3789-4
   Choudhary A, 2019, INT J CLIMATOL, V39, P2156, DOI 10.1002/joc.5942
   Choudhury AD, 2011, J ATMOS SCI, V68, P1347, DOI 10.1175/2011JAS3705.1
   Cox PM, 2000, NATURE, V408, P184, DOI 10.1038/35041539
   Davis N, 2009, J CLIMATE, V22, P3595, DOI 10.1175/2009JCLI2388.1
   Dimri AP, 2018, GLOBAL PLANET CHANGE, V162, P235, DOI 10.1016/j.gloplacha.2018.01.014
   Dimri AP, 2018, GLOBAL PLANET CHANGE, V162, P212, DOI 10.1016/j.gloplacha.2018.01.015
   Dimri AP, 2019, INT J CLIMATOL, V39, P395, DOI 10.1002/joc.5816
   Dobler A, 2010, J GEOPHYS RES-ATMOS, V115, DOI 10.1029/2009JD013497
   Ebert EE, 2000, J HYDROL, V239, P179, DOI 10.1016/S0022-1694(00)00343-7
   Fennessy MJ, 1994, J CLIMATOL, V5, P1249, DOI [10.1175/1520-0442(1994)007%3c0033:TSIMAG%3e2.0.CO;2, DOI 10.1175/1520-0442(1994)007%3C0033:TSIMAG%3E2.0.CO;2]
   Fowler HJ, 2007, INT J CLIMATOL, V27, P1547, DOI 10.1002/joc.1556
   Ghimire S, 2018, CLIM DYNAM, V50, P2311, DOI 10.1007/s00382-015-2747-2
   Giorgetta MA, 2013, J ADV MODEL EARTH SY, V5, P572, DOI 10.1002/jame.20038
   Giorgi F., 2009, Bulletin - World Meteorological Organization, V58, P175
   Giorgi F, 2012, CLIM RES, V52, P7, DOI 10.3354/cr01018
   Giorgi F, 1999, J GEOPHYS RES-ATMOS, V104, P6335, DOI 10.1029/98JD02072
   Goswami BN, 1998, J CLIMATE, V11, P501, DOI 10.1175/1520-0442(1998)011<0501:IVOISM>2.0.CO;2
   Gutowski WJ, 2010, J HYDROMETEOROL, V11, P1373, DOI 10.1175/2010JHM1297.1
   Hansen J, 2006, P NATL ACAD SCI USA, V103, P14288, DOI 10.1073/pnas.0606291103
   Harris LM, 2014, J CLIMATE, V27, P4890, DOI 10.1175/JCLI-D-13-00596.1
   Hawkins E, 2013, AGR FOREST METEOROL, V170, P19, DOI 10.1016/j.agrformet.2012.04.007
   Jain SK, 2012, CURR SCI INDIA, V102, P37
   Johns TC, 1997, CLIM DYNAM, V13, P103, DOI 10.1007/s003820050155
   Jones PW, 1999, MON WEATHER REV, V127, P2204, DOI 10.1175/1520-0493(1999)127<2204:FASOCR>2.0.CO;2
   Kharin VV, 2000, J CLIMATE, V13, P3760, DOI 10.1175/1520-0442(2000)013<3760:CITEIA>2.0.CO;2
   Khole M., 2003, MAUSAM, V54, P419, DOI [10.54302/mausam.v54i2.1527, DOI 10.54302/MAUSAM.V54I2.1527]
   Kripalani RH, 2004, INT J CLIMATOL, V24, P1267, DOI 10.1002/joc.1071
   Kumar D, 2018, THEOR APPL CLIMATOL, V134, P1065, DOI 10.1007/s00704-017-2318-z
   Kumar KK, 2011, CURR SCI INDIA, V101, P312
   Kumar KR, 2006, CURR SCI INDIA, V90, P334
   Kumar P, 2013, SCI TOTAL ENVIRON, V468, pS18, DOI 10.1016/j.scitotenv.2013.01.051
   Lal M, 2001, CURR SCI INDIA, V81, P1196
   Lau KM, 1996, J CLIMATE, V9, P965, DOI 10.1175/1520-0442(1996)009<0965:SVATAI>2.0.CO;2
   Maharana P, 2014, J EARTH SYST SCI, V123, P1147, DOI 10.1007/s12040-014-0447-7
   May W, 2002, GEOPHYS RES LETT, V29, DOI 10.1029/2001GL013808
   McGregor J.L., 2001, IUTAM Symposium on Advantages in Mathematical Modelling of Atmosphere and Ocean Dynamics, P197, DOI 10.1007/978-94-010-0792-4_25
   McKnight Tom L., 2000, Physical Geography: A Landscape Appreciation, P205
   Menon A, 2013, EARTH SYST DYNAM, V4, P287, DOI 10.5194/esd-4-287-2013
   Mishra V, 2014, J GEOPHYS RES-ATMOS, V119, P9301, DOI 10.1002/2014JD021636
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Nageswararao MM, 2019, SN APPL SCI, V1, DOI 10.1007/s42452-019-1234-5
   Nageswararao MM, 2019, THEOR APPL CLIMATOL, V137, P2573, DOI 10.1007/s00704-018-02755-y
   Nageswararao MM, 2018, THEOR APPL CLIMATOL, V132, P181, DOI 10.1007/s00704-017-2083-z
   Nageswararao MM, 2016, GLOBAL PLANET CHANGE, V147, P67, DOI 10.1016/j.gloplacha.2016.10.017
   NEELIN JD, 1994, ANNU REV FLUID MECH, V26, P617, DOI 10.1146/annurev.fl.26.010194.003153
   Pai DS, 2015, CLIM DYNAM, V45, P755, DOI 10.1007/s00382-014-2307-1
   Pai DS, 2014, MAUSAM, V65, P1
   Pan JF, 1998, WEATHER FORECAST, V13, P983, DOI 10.1175/1520-0434(1998)013<0983:ERPFBO>2.0.CO;2
   Rai P, 2019, THEOR APPL CLIMATOL, V137, P2961, DOI 10.1007/s00704-019-02784-1
   Rajeevan M, 2012, METEOROL APPL, V19, P226, DOI 10.1002/met.1322
   Rajeevan M., 2009, CURRENT TRENDS SCI P, V20, P537
   Rajendran K, 2008, CURR SCI INDIA, V95, P1560
   Rao GN, 1999, J CLIMATE, V12, P3486, DOI 10.1175/1520-0442(1999)012<3486:VOTSRW>2.0.CO;2
   Rojas M, 2006, MON WEATHER REV, V134, P2208, DOI 10.1175/MWR3167.1
   Rummukainen M, 2001, CLIM DYNAM, V17, P339, DOI 10.1007/s003820000109
   Rummukainen M, 2010, WIRES CLIM CHANGE, V1, P82, DOI 10.1002/wcc.8
   Sabin TP, 2013, CLIM DYNAM, V41, P173, DOI 10.1007/s00382-012-1658-8
   Saeed F, 2012, INT J CLIMATOL, V32, P430, DOI 10.1002/joc.2285
   Samuelsson P, 2011, TELLUS A, V63, P4, DOI 10.1111/j.1600-0870.2010.00478.x
   Sharmila S, 2015, GLOBAL PLANET CHANGE, V124, P62, DOI 10.1016/j.gloplacha.2014.11.004
   Singh S, 2017, CLIM DYNAM, V48, P1375, DOI 10.1007/s00382-016-3147-y
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Trenberth KE, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P235
   Tripathi OP, 2013, J GEOPHYS RES-ATMOS, V118, P7591, DOI 10.1002/jgrd.50590
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P95, DOI 10.1007/s10584-011-0152-3
   Walther A, 2013, ATMOS RES, V119, P131, DOI 10.1016/j.atmosres.2011.10.012
   Watanabe M, 2010, J CLIMATE, V23, P6312, DOI 10.1175/2010JCLI3679.1
   Wehner MF, 2010, CLIM DYNAM, V34, P241, DOI 10.1007/s00382-009-0656-y
   Willmott CJ., 1981, Phys Geogr, V2, P184, DOI [DOI 10.1080/02723646.1981.10642213, 10.1080/02723646.1981.10642213]
   Zhao M, 2009, J CLIMATE, V22, P6653, DOI 10.1175/2009JCLI3049.1
NR 82
TC 8
Z9 8
U1 0
U2 8
PU SPRINGER WIEN
PI WIEN
PA SACHSENPLATZ 4-6, PO BOX 89, A-1201 WIEN, AUSTRIA
SN 0177-7971
EI 1436-5065
J9 METEOROL ATMOS PHYS
JI Meteorol. Atmos. Phys.
PD OCT
PY 2020
VL 132
IS 5
BP 743
EP 770
DI 10.1007/s00703-019-00716-2
PG 28
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA NG1XY
UT WOS:000563781200008
DA 2025-01-10
ER

PT J
AU Grasso, M
AF Grasso, Marco
TI An ethical approach to climate adaptation finance
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Adaptation funding; Climate change; Ethics; Justice
ID JUSTICE
AB This article develops a framework of procedural and distributive justice specifically tailored to the international-level funding of adaptation based on the assumptions that the ethical contents of such funding should consist of a fair process which involves all relevant parties, that adaptation funds should be raised according to the responsibility for climate impacts, and that the funds raised should be allocated by putting the most vulnerable first. In particular, after underlining the usefulness and possibilities of an ethical approach to climate adaptation finance, the article, in defining the framework of justice, first explores and justifies principles of procedural and distributive justice, and on their basis advances fairness and equity criteria that serve as benchmarks for assessing the ethical contents of international adaptation funding. Then, in order to test the robustness and investigative potential of the framework of justice developed, the article uses its fairness and equity criteria to evaluate the procedural and distributive justness of some climate adaptation finance architectures. (C) 2009 Elsevier Ltd. All rights reserved.
C1 Univ Milano Bicocca, Dipartimento Sci Econ Aziendali, I-20126 Milan, Italy.
C3 University of Milano-Bicocca
RP Grasso, M (corresponding author), Univ Milano Bicocca, Dipartimento Sci Econ Aziendali, Via Bicocca Arcimboldi 8, I-20126 Milan, Italy.
EM marco.grasso@unimib.it
RI Grasso, Marco/ABT-9659-2022
OI Grasso, Marco/0000-0002-6869-5959
CR [Anonymous], GLOBALIZATIONS, DOI [10.1080/14747730500367850, DOI 10.1080/14747730500367850]
   [Anonymous], 2007, NATL RESPONSIBILITY
   [Anonymous], 2005, Leiden Journal of International Law, DOI [10.1017/S0922156505002992, DOI 10.1017/S0922156505002992]
   [Anonymous], 2008, GLOBAL ENV POLITICS
   [Anonymous], 1999, Development as Freedom
   [Anonymous], 2006, FAIRNESS ADAPTATION
   [Anonymous], 2001, THEOR CULT SOC
   [Anonymous], 1 WORLD ETHICS GLOBA
   [Anonymous], 2008, Atmospheric justice
   [Anonymous], 1984, Reasons and Persons
   [Anonymous], 1999, A Theory of Justice
   Baer P, 2008, CAMB REV INT AFF, V21, P649, DOI 10.1080/09557570802453050
   Caney S, 2009, J SOC PHILOS, V40, P163, DOI 10.1111/j.1467-9833.2009.01445.x
   Dworkin R., 2000, THEORY PRACTICE EQUA
   DWORKIN R, 1978, PUBLIC PRIVATE MORAL, P31
   Feigl H., 1952, READINGS ETHICAL THE, P667
   Fitzmaurice M., 2003, ICLQ, V52, P333, DOI DOI 10.1093/ICLQ/52.2.333
   Forst Rainer., 2001, GLOBAL JUSTICE, P169
   Gardiner SM, 2004, ETHICS, V114, P555, DOI 10.1086/382247
   GOSSERIES A, 2007, CANADIAN J PHILOS S, V31, P279
   GRASSO M, 2009, JUSTICE FUN IN PRESS
   Green M., 2002, PHILOS TOPICS, V30, P79
   Jagers SC, 2008, ENVIRON POLIT, V17, P576, DOI 10.1080/09644010802193443
   Kelly PM, 2000, CLIMATIC CHANGE, V47, P325, DOI 10.1023/A:1005627828199
   Miller D, 2004, ETHICS, V114, P240, DOI 10.1086/379353
   Miller D, 2001, J POLIT PHILOS, V9, P453, DOI 10.1111/1467-9760.00136
   Miller D., 2001, PRINCIPLES SOCIAL JU
   MILLER D, TANNER LECT IN PRESS, V28
   Moore M, 2008, CRIT REV INT SOC POL, V11, P501, DOI 10.1080/13698230802415946
   Muller B., 2008, International Adaptation Finance
   Muller B., 1998, Justice in global warming negotiations: How to obtain a procedurally fair compromise
   Nagel Thomas., 1979, Mortal questions, P24
   O'Neill O, 2001, METAPHILOSOPHY, V32, P180, DOI 10.1111/1467-9973.00181
   Ott HE, 2008, CLIM POLICY, V8, P91, DOI 10.3763/cpol.2007.0510
   Paavola J, 2006, ECOL ECON, V56, P594, DOI 10.1016/j.ecolecon.2005.03.015
   Paavola Jouni., 2006, Fairness in Adaptation to Climate Change, P263
   Page E, 1999, POLIT STUD-LONDON, V47, P53, DOI 10.1111/1467-9248.00187
   Page EA, 2006, CLIMATE CHANGE, JUSTICE AND FUTURE GENERATIONS, P1
   Page EA, 2008, ENVIRON POLIT, V17, P556, DOI 10.1080/09644010802193419
   Pogge T., 2007, J RAWLS HIS LIFE THE
   Shue Henry., 1993, Law Policy, V15, P39, DOI 10.1111/j.1467-9930.1993.tb00093.x
   Stern N, 2008, AM ECON REV, V98, P1, DOI 10.1257/aer.98.2.1
   *UNFCCC, 2008, AWG LCA 4 SESS UNPUB
   *UNFCCC, 2008, AWG LCA 3 SESS UNPUB
   *UNFCCC, 2008, CHIN VIEW EN F UNPUB
NR 45
TC 86
Z9 89
U1 3
U2 38
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-3780
EI 1872-9495
J9 GLOBAL ENVIRON CHANG
JI Glob. Environ. Change-Human Policy Dimens.
PD FEB
PY 2010
VL 20
IS 1
SI SI
BP 74
EP 81
DI 10.1016/j.gloenvcha.2009.10.006
PG 8
WC Environmental Sciences; Environmental Studies; Geography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA 557MF
UT WOS:000274672500010
DA 2025-01-10
ER

PT J
AU Whiting, JR
   Booker, TR
   Rougeux, C
   Lind, BM
   Singh, P
   Lu, MM
   Huang, KC
   Whitlock, MC
   Aitken, SN
   Andrew, RL
   Borevitz, JO
   Bruhl, JJ
   Collins, TL
   Fischer, MC
   Hodgins, KA
   Holliday, JA
   Ingvarsson, PK
   Janes, JK
   Khandaker, M
   Koenig, D
   Kreiner, JM
   Kremer, A
   Lascoux, M
   Leroy, T
   Milesi, P
   Murray, KD
   Pyhäjärvi, T
   Rellstab, C
   Rieseberg, LH
   Roux, F
   Stinchcombe, JR
   Telford, IRH
   Todesco, M
   Tyrmi, JS
   Wang, BS
   Weigel, D
   Willi, Y
   Wright, SI
   Zhou, LC
   Yeaman, S
AF Whiting, James R.
   Booker, Tom R.
   Rougeux, Clement
   Lind, Brandon M.
   Singh, Pooja
   Lu, Mengmeng
   Huang, Kaichi
   Whitlock, Michael C.
   Aitken, Sally N.
   Andrew, Rose L.
   Borevitz, Justin O.
   Bruhl, Jeremy J.
   Collins, Timothy L.
   Fischer, Martin C.
   Hodgins, Kathryn A.
   Holliday, Jason A.
   Ingvarsson, Par K.
   Janes, Jasmine K.
   Khandaker, Momena
   Koenig, Daniel
   Kreiner, Julia M.
   Kremer, Antoine
   Lascoux, Martin
   Leroy, Thibault
   Milesi, Pascal
   Murray, Kevin D.
   Pyhajarvi, Tanja
   Rellstab, Christian
   Rieseberg, Loren H.
   Roux, Fabrice
   Stinchcombe, John R.
   Telford, Ian R. H.
   Todesco, Marco
   Tyrmi, Jaakko S.
   Wang, Baosheng
   Weigel, Detlef
   Willi, Yvonne
   Wright, Stephen I.
   Zhou, Lecong
   Yeaman, Sam
TI The genetic architecture of repeated local adaptation to climate in
   distantly related plants
SO NATURE ECOLOGY & EVOLUTION
LA English
DT Article
ID GENOMES REVEAL; EVOLUTION; CONVERGENCE; PARALLELISM; PLEIOTROPY;
   EXPRESSION; RESPONSES; MULTIPLE; COST
AB Closely related species often use the same genes to adapt to similar environments. However, we know little about why such genes possess increased adaptive potential and whether this is conserved across deeper evolutionary lineages. Adaptation to climate presents a natural laboratory to test these ideas, as even distantly related species must contend with similar stresses. Here, we re-analyse genomic data from thousands of individuals from 25 plant species as diverged as lodgepole pine and Arabidopsis (similar to 300 Myr). We test for genetic repeatability based on within-species associations between allele frequencies in genes and variation in 21 climate variables. Our results demonstrate significant statistical evidence for genetic repeatability across deep time that is not expected under randomness, identifying a suite of 108 gene families (orthogroups) and gene functions that repeatedly drive local adaptation to climate. This set includes many orthogroups with well-known functions in abiotic stress response. Using gene co-expression networks to quantify pleiotropy, we find that orthogroups with stronger evidence for repeatability exhibit greater network centrality and broader expression across tissues (higher pleiotropy), contrary to the 'cost of complexity' theory. These gene families may be important in helping wild and crop species cope with future climate change, representing important candidates for future study.
C1 [Whiting, James R.; Rougeux, Clement; Lind, Brandon M.; Singh, Pooja; Lu, Mengmeng; Yeaman, Sam] Univ Calgary, Dept Biol Sci, Calgary, AB, Canada.
   [Booker, Tom R.; Whitlock, Michael C.] Univ British Columbia, Fac Sci, Dept Zool, Vancouver, BC, Canada.
   [Booker, Tom R.; Lind, Brandon M.; Aitken, Sally N.] Univ British Columbia, Fac Forestry, Dept Forest & Conservat Sci, Vancouver, BC, Canada.
   [Singh, Pooja] Univ Bern, Inst Ecol & Evolut, Aquat Ecol & Evolut, Bern, Switzerland.
   [Singh, Pooja] EAWAG, Swiss Fed Inst Aquat Sci & Technol, Dubendorf, Switzerland.
   [Lu, Mengmeng] Univ Notre Dame, Dept Biol Sci, Notre Dame, IN USA.
   [Huang, Kaichi; Kreiner, Julia M.; Rieseberg, Loren H.; Todesco, Marco] Univ British Columbia, Dept Bot, Vancouver, BC, Canada.
   [Huang, Kaichi; Kreiner, Julia M.; Rieseberg, Loren H.; Todesco, Marco] Univ British Columbia, Biodivers Res Ctr, Vancouver, BC, Canada.
   [Andrew, Rose L.; Bruhl, Jeremy J.; Khandaker, Momena; Telford, Ian R. H.] Univ New England, Sch Environm & Rural Sci, Armidale, NSW, Australia.
   [Borevitz, Justin O.; Murray, Kevin D.] Australian Natl Univ, Res Sch Biol, Canberra, ACT, Australia.
   [Collins, Timothy L.] Dept Planning & Environm, Queanbeyan, NSW, Australia.
   [Collins, Timothy L.] Dept Climate Change Energy Environm & Water, Queanbeyan, NSW, Australia.
   [Fischer, Martin C.] Swiss Fed Inst Technol, Inst Integrat Biol IBZ, Zurich, Switzerland.
   [Hodgins, Kathryn A.] Monash Univ, Sch Biol Sci, Melbourne, Vic, Australia.
   [Holliday, Jason A.; Zhou, Lecong] Virginia Tech, Dept Forest Resources & Environm Conservat, Blacksburg, VA USA.
   [Ingvarsson, Par K.] Swedish Univ Agr Sci, Dept Plant Biol, Uppsala, Sweden.
   [Janes, Jasmine K.] Vancouver Isl Univ, Biol Dept, Nanaimo, BC, Canada.
   [Janes, Jasmine K.] Univ Northern British Columbia, Dept Ecosyst Sci & Management, Prince George, BC, Canada.
   [Janes, Jasmine K.] IUCN North Amer, Species Survival Commiss, Orchid Specialist Grp, Washington, DC USA.
   [Koenig, Daniel] Univ Calif Riverside, Dept Bot & Plant Sci, Riverside, CA USA.
   [Koenig, Daniel] Univ Calif Riverside, Inst Integrat Genome Biol, Riverside, CA USA.
   [Kreiner, Julia M.; Stinchcombe, John R.; Wright, Stephen I.] Univ Toronto, Dept Ecol & Evolutionary Biol, Toronto, ON, Canada.
   [Kremer, Antoine] Univ Bordeaux, UMR BIOGECO, INRAE, 69 Route Arcachon, Cestas, France.
   [Lascoux, Martin; Milesi, Pascal] Uppsala Univ, Evolutionary Biol Ctr, Dept Ecol & Genet, Program Plant Ecol & Evolut, Uppsala, Sweden.
   [Lascoux, Martin; Milesi, Pascal] Uppsala Univ, Sci Life Lab, Uppsala, Sweden.
   [Leroy, Thibault] Univ Toulouse, GenPhySE, INRAE, ENVT, Castanet Tolosan, France.
   [Murray, Kevin D.; Weigel, Detlef] Max Planck Inst Biol Tubingen, Dept Mol Biol, Tubingen, Germany.
   [Pyhajarvi, Tanja] Univ Helsinki, Dept Forest Sci, Helsinki, Finland.
   [Pyhajarvi, Tanja] Univ Helsinki, Viikki Plant Sci Ctr, Helsinki, Finland.
   [Rellstab, Christian] Swiss Fed Res Inst WSL, Birmensdorf, Switzerland.
   [Roux, Fabrice] Univ Toulouse, Inst Natl Rech Agr Alimentat & Environm, Lab Interact Plantes Microbes Environm, CNRS, Castanet-tolosan, France.
   [Todesco, Marco] Univ British Columbia, Michael Smith Labs, Vancouver, BC, Canada.
   [Todesco, Marco] Univ British Columbia, Dept Biol, Kelowna, BC, Canada.
   [Tyrmi, Jaakko S.] Univ Oulu, Dept Ecol & Genet, Oulu, Finland.
   [Wang, Baosheng] South China Natl Bot Garden, Guangzhou, Peoples R China.
   [Willi, Yvonne] Univ Basel, Dept Environm Sci, Basel, Switzerland.
C3 University of Calgary; University of British Columbia; University of
   British Columbia; University of Bern; Swiss Federal Institutes of
   Technology Domain; Swiss Federal Institute of Aquatic Science &
   Technology (EAWAG); University of Notre Dame; University of British
   Columbia; University of British Columbia; University of New England;
   Australian National University; Swiss Federal Institutes of Technology
   Domain; ETH Zurich; Monash University; Virginia Polytechnic Institute &
   State University; Swedish University of Agricultural Sciences; Vancouver
   Island University; University of Northern British Columbia; University
   of California System; University of California Riverside; University of
   California System; University of California Riverside; University of
   Toronto; Universite de Bordeaux; INRAE; Uppsala University; Uppsala
   University; Universite de Toulouse; Ecole Nationale Veterinaire de
   Toulouse; INRAE; University of Helsinki; University of Helsinki; Swiss
   Federal Institutes of Technology Domain; Swiss Federal Institute for
   Forest, Snow & Landscape Research; Universite de Toulouse; INRAE; Centre
   National de la Recherche Scientifique (CNRS); University of British
   Columbia; University of British Columbia; University of Oulu; University
   of Basel
RP Whiting, JR; Yeaman, S (corresponding author), Univ Calgary, Dept Biol Sci, Calgary, AB, Canada.
EM jwhiting2315@gmail.com; Samuel.yeaman@ucalgary.ca
RI Collins, Tim/ABC-7896-2021; Rellstab, Christian/D-6460-2012;
   Stinchcombe, John/A-2941-2008; Todesco, Marco/HCH-3494-2022; Wright,
   Stephen/C-3113-2008; Janes, Jasmine/G-3330-2018; Ingvarsson,
   Pär/G-2748-2010; Rieseberg, Loren/B-3591-2013; Fischer,
   Martin/D-4326-2012; Lu, Mengmeng/AGI-4309-2022; Kreiner,
   Julia/AAG-8796-2021; Whiting, James/I-3861-2017; Andrew,
   Rose/B-5929-2008
OI Huang, Kaichi/0000-0002-0378-5988; Lu, Mengmeng/0000-0001-5023-3759;
   Whitlock, Michael/0000-0002-0782-1843; Whiting,
   James/0000-0001-8936-4991; Andrew, Rose/0000-0003-0099-8336; Ingvarsson,
   Par/0000-0001-9225-7521
FU NSERC Discovery [RGPIN/03310-2023]; Alberta Innovates [212201729];
   Digital Research Alliance of Canada
FX We would like to thank O. Savolainen, T. Hamala, T. Mitchell-Olds, D.
   Lowry, M. Kirst, P. Tiffin, S. Kubota and A. Widmer who were involved in
   the collection and preservation of data used in this study. Funding was
   provided by NSERC Discovery (RGPIN/03310-2023; S.Y.) and Alberta
   Innovates (212201729; S.Y.), with computational resources and support
   provided by the Digital Research Alliance of Canada (S.Y.).
CR Acharya B, 2009, PLANT MOL BIOL, V69, P451, DOI 10.1007/s11103-008-9427-0
   Alonso-Blanco C, 2016, CELL, V166, P481, DOI 10.1016/j.cell.2016.05.063
   Anderson JT, 2020, J SYST EVOL, V58, P533, DOI 10.1111/jse.12649
   [Anonymous], 1990, Wonderful Life: The Burgess Shale and the Nature of History
   Arendt J, 2008, TRENDS ECOL EVOL, V23, P26, DOI 10.1016/j.tree.2007.09.011
   Blount ZD, 2018, SCIENCE, V362, DOI 10.1126/science.aam5979
   Bohutínská M, 2024, TRENDS ECOL EVOL, V39, P396, DOI 10.1016/j.tree.2023.11.007
   Bohutínská M, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2022713118
   Bohutínská M, 2021, MOL BIOL EVOL, V38, P3910, DOI 10.1093/molbev/msab096
   Bolnick DI, 2018, ANNU REV ECOL EVOL S, V49, P303, DOI 10.1146/annurev-ecolsys-110617-062240
   Booker TR, 2023, EVOLUTION, V77, P801, DOI 10.1093/evolut/qpac063
   Booker TR, 2024, MOL ECOL RESOUR, V24, DOI 10.1111/1755-0998.13768
   Bostick M, 2004, PLANT CELL, V16, P2418, DOI 10.1105/tpc.104.024943
   Calleja-Cabrera J, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.00544
   Chen SF, 2018, BIOINFORMATICS, V34, P884, DOI 10.1093/bioinformatics/bty560
   Christmas MJ, 2016, CONSERV GENET, V17, P305, DOI 10.1007/s10592-015-0782-5
   Conte GL, 2012, P ROY SOC B-BIOL SCI, V279, P5039, DOI 10.1098/rspb.2012.2146
   Cooper TF, 2007, EVOLUTION, V61, P1495, DOI 10.1111/j.1558-5646.2007.00109.x
   CROW J F, 1970, P591, DOI 10.1093/bioinformatics/btr330
   Danecek P, 2021, GIGASCIENCE, V10, DOI 10.1093/gigascience/giab008
   DePristo MA, 2011, NAT GENET, V43, P491, DOI 10.1038/ng.806
   Emms D., 2018, STAG SPECIES TREE IN, DOI [10.1101/267914, DOI 10.1101/267914]
   Emms DM, 2019, GENOME BIOL, V20, DOI 10.1186/s13059-019-1832-y
   Emms DM, 2017, MOL BIOL EVOL, V34, P3267, DOI 10.1093/molbev/msx259
   Exposito-Alonso M, 2019, NATURE, V573, P126, DOI 10.1038/s41586-019-1520-9
   Exposito-Alonso M, 2018, NAT ECOL EVOL, V2, P352, DOI 10.1038/s41559-017-0423-0
   Fahrenkrog AM, 2017, ECOL EVOL, V7, P9426, DOI 10.1002/ece3.3466
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   Fischer MC, 2017, BMC GENOMICS, V18, DOI 10.1186/s12864-016-3459-7
   Fisher R. A., 1958, The genetical theory of natural selection.
   Frachon L, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.00967
   Frachon L, 2017, NAT ECOL EVOL, V1, P1551, DOI 10.1038/s41559-017-0297-1
   Gabaldón T, 2013, NAT REV GENET, V14, P360, DOI 10.1038/nrg3456
   Gould BA, 2018, BMC GENOMICS, V19, DOI 10.1186/s12864-018-5179-7
   Gray SB, 2016, DEV BIOL, V419, P64, DOI 10.1016/j.ydbio.2016.07.023
   Guan JT, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-33515-2
   Hahn MW, 2005, MOL BIOL EVOL, V22, P803, DOI 10.1093/molbev/msi072
   Hämälä T, 2020, PLOS GENET, V16, DOI 10.1371/journal.pgen.1008707
   Holliday JA, 2016, NEW PHYTOL, V209, P1240, DOI 10.1111/nph.13643
   Jain K, 2017, GENETICS, V206, P389, DOI 10.1534/genetics.116.196972
   James ME, 2023, ANNU REV PLANT BIOL, V74, P697, DOI 10.1146/annurev-arplant-071221-090809
   Jasper RJ, 2022, MOL ECOL RESOUR, V22, P2524, DOI 10.1111/1755-0998.13628
   Karunarathne P, 2024, GLOBAL CHANGE BIOL, V30, DOI 10.1111/gcb.17262
   Kassambara A., 2023, R package version 0.6.0
   Koenig D, 2019, ELIFE, V8, DOI 10.7554/eLife.43606
   Konecná V, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-25256-5
   Kreiner JM, 2019, P NATL ACAD SCI USA, V116, P21076, DOI 10.1073/pnas.1900870116
   Kubota S, 2015, PLOS GENET, V11, DOI 10.1371/journal.pgen.1005361
   Kumar S, 2017, MOL BIOL EVOL, V34, P1812, DOI 10.1093/molbev/msx116
   Lenormand T, 2002, TRENDS ECOL EVOL, V17, P183, DOI 10.1016/S0169-5347(02)02497-7
   Leroy T, 2020, NEW PHYTOL, V226, P1171, DOI 10.1111/nph.16095
   Li H., 2013, GENOMICS, DOI [10.48550/arXiv.1303.3997, DOI 10.48550/ARXIV.1303.3997]
   Li N, 2021, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.627969
   Li W, 2021, MOL BIOL EVOL, V38, P3567, DOI 10.1093/molbev/msab119
   Liu T, 2013, PLANT J, V76, P101, DOI 10.1111/tpj.12276
   Long A, 2015, NAT REV GENET, V16, P567, DOI 10.1038/nrg3937
   Lortie CJ, 2022, J ECOL, V110, P1015, DOI 10.1111/1365-2745.13664
   Louis M, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abg1245
   Love JT, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07669-x
   Luo YJ, 2013, PLANT J, V75, P377, DOI 10.1111/tpj.12207
   Mack KL, 2019, GENES-BASEL, V10, DOI 10.3390/genes10030225
   MacLachlan IR, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2016900118
   Magalhaes IS, 2021, NAT ECOL EVOL, V5, P251, DOI 10.1038/s41559-020-01341-8
   Mähler N, 2017, PLOS GENET, V13, DOI 10.1371/journal.pgen.1006402
   Manceau M, 2010, PHILOS T R SOC B, V365, P2439, DOI 10.1098/rstb.2010.0104
   Mattila TM, 2017, MOL BIOL EVOL, V34, P2665, DOI 10.1093/molbev/msx193
   Mei WB, 2018, AM J BOT, V105, P16, DOI 10.1002/ajb2.1002
   Mergner J, 2020, NATURE, V579, P409, DOI 10.1038/s41586-020-2094-2
   Monroe JG, 2018, ELIFE, V7, DOI 10.7554/eLife.41038
   Montejo-Kovacevich G, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-32316-x
   Mundy NI, 2005, P ROY SOC B-BIOL SCI, V272, P1633, DOI 10.1098/rspb.2005.3107
   Murray KD, 2019, MOL ECOL, V28, P5232, DOI 10.1111/mec.15287
   Obayashi T, 2022, PLANT CELL PHYSIOL, V63, P869, DOI 10.1093/pcp/pcac041
   Orr HA, 2000, EVOLUTION, V54, P13, DOI 10.1111/j.0014-3820.2000.tb00002.x
   Papatheodorou I, 2018, NUCLEIC ACIDS RES, V46, pD246, DOI 10.1093/nar/gkx1158
   Picard, 2019, US
   Proulx SR, 2005, TRENDS ECOL EVOL, V20, P345, DOI 10.1016/j.tree.2005.04.004
   Quinlan AR, 2010, BIOINFORMATICS, V26, P841, DOI 10.1093/bioinformatics/btq033
   Rellstab C, 2020, MOL ECOL, V29, P4350, DOI 10.1111/mec.15648
   Rennison DJ, 2022, MOL ECOL, V31, P1476, DOI 10.1111/mec.16335
   Szklarczyk D, 2021, NUCLEIC ACIDS RES, V49, pD605, DOI 10.1093/nar/gkaa1074
   Tippett L.H.C., 1931, The Methods of Statistics: An Introduction Mainly for Experimentalists
   Todesco M, 2020, NATURE, V584, P602, DOI 10.1038/s41586-020-2467-6
   Tyrmi JS, 2020, G3-GENES GENOM GENET, V10, P2683, DOI 10.1534/g3.120.401285
   Van der Auwera G. A., 2020, Genomics in the cloud: using Docker, GATK, and WDL in Terra
   Wagner GP, 2008, NATURE, V452, P470, DOI 10.1038/nature06756
   Wang BS, 2019, GENOME BIOL, V20, DOI 10.1186/s13059-019-1729-9
   Wang J, 2018, GENOME BIOL, V19, DOI 10.1186/s13059-018-1444-y
   Wang Z, 2010, P NATL ACAD SCI USA, V107, P18034, DOI 10.1073/pnas.1004666107
   Watanabe K, 2019, NAT GENET, V51, P1339, DOI 10.1038/s41588-019-0481-0
   Waters JM, 2021, MOL ECOL, V30, P4162, DOI 10.1111/mec.16018
   Willi Y, 2018, MOL BIOL EVOL, V35, P781, DOI 10.1093/molbev/msy003
   Yanai I, 2005, BIOINFORMATICS, V21, P650, DOI 10.1093/bioinformatics/bti042
   Yeaman S., 2024, DRYAD, DOI [10.5061/dryad.15dv41p57, DOI 10.5061/DRYAD.15DV41P57]
   Yeaman S, 2022, GENETICS, V220, DOI 10.1093/genetics/iyab134
   Yeaman S, 2016, SCIENCE, V353, P1431, DOI 10.1126/science.aaf7812
   Yoder JB, 2014, GENETICS, V196, P1263, DOI 10.1534/genetics.113.159319
   Zou DH, 2021, MOL BIOL EVOL, V38, P3649, DOI 10.1093/molbev/msab130
NR 98
TC 4
Z9 4
U1 13
U2 13
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2397-334X
J9 NAT ECOL EVOL
JI Nat. Ecol. Evol.
PD OCT
PY 2024
VL 8
IS 10
DI 10.1038/s41559-024-02514-5
EA AUG 2024
PG 26
WC Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Evolutionary Biology
GA I6N1L
UT WOS:001298729300002
PM 39187610
OA Green Submitted, Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Razgour, O
   Forester, B
   Taggart, JB
   Bekaert, M
   Juste, J
   Ibáñez, C
   Puechmaille, SJ
   Novella-Fernandez, R
   Alberdi, A
   Manel, S
AF Razgour, Orly
   Forester, Brenna
   Taggart, John B.
   Bekaert, Michael
   Juste, Javier
   Ibanez, Carlos
   Puechmaille, Sebastien J.
   Novella-Fernandez, Roberto
   Alberdi, Antton
   Manel, Stephanie
TI Considering adaptive genetic variation in climate change vulnerability
   assessment reduces species range loss projections
SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
   AMERICA
LA English
DT Article
DE global climate change; genetic adaptations; ecological niche models;
   conservation genomics; evolutionary rescue
ID LOCAL ADAPTATION; CONSERVATION; GENOMICS
AB Local adaptations can determine the potential of populations to respond to environmental changes, yet adaptive genetic variation is commonly ignored in models forecasting species vulnerability and biogeographical shifts under future climate change. Here we integrate genomic and ecological modeling approaches to identify genetic adaptations associated with climate in two cryptic forest bats. We then incorporate this information directly into forecasts of range changes under future climate change and assessment of population persistence through the spread of climate-adaptive genetic variation (evolutionary rescue potential). Considering climate-adaptive potential reduced range loss projections, suggesting that failure to account for intraspecific variability can result in overestimation of future losses. On the other hand, range overlap between species was projected to increase, indicating that interspecific competition is likely to play an important role in limiting species' future ranges. We show that although evolutionary rescue is possible, it depends on a population's adaptive capacity and connectivity. Hence, we stress the importance of incorporating genomic data and landscape connectivity in climate change vulnerability assessments and conservation management.
C1 [Razgour, Orly; Novella-Fernandez, Roberto] Univ Southampton, Biol Sci, Southampton SO17 1BJ, Hants, England.
   [Razgour, Orly] Univ Bristol, Sch Biol Sci, Bristol BS8 1TQ, Avon, England.
   [Forester, Brenna] Colorado State Univ, Dept Biol, Ft Collins, CO 80523 USA.
   [Taggart, John B.; Bekaert, Michael] Univ Stirling, Inst Aquaculture, Stirling FK9 4LA, Scotland.
   [Juste, Javier; Ibanez, Carlos] CSIC, Estn Biol Donana, Seville 41092, Spain.
   [Puechmaille, Sebastien J.] Univ Montpellier, ISEM, F-34095 Montpellier, France.
   [Puechmaille, Sebastien J.] GCMP, F-31076 Toulouse, France.
   [Puechmaille, Sebastien J.] Univ Greifswald, Zool Inst & Museum, D-17489 Greifswald, Germany.
   [Alberdi, Antton] Univ Copenhagen, Evolutionary Genom, DK-1350 Copenhagen, Denmark.
   [Manel, Stephanie] Univ Montpellier, EPHE, Univ Rech Paris Sci & Lettres PSL, CEFE, F-34293 Montpellier, France.
C3 University of Southampton; University of Bristol; Colorado State
   University; University of Stirling; Consejo Superior de Investigaciones
   Cientificas (CSIC); CSIC - Estacion Biologica de Donana (EBD); Centre
   National de la Recherche Scientifique (CNRS); Institut de Recherche pour
   le Developpement (IRD); Universite de Montpellier; Universitat
   Greifswald; University of Copenhagen; Universite PSL; Ecole Pratique des
   Hautes Etudes (EPHE); Institut Agro; Montpellier SupAgro; CIRAD; Centre
   National de la Recherche Scientifique (CNRS); Institut de Recherche pour
   le Developpement (IRD); Universite Paul-Valery; Universite de
   Montpellier
RP Razgour, O (corresponding author), Univ Southampton, Biol Sci, Southampton SO17 1BJ, Hants, England.; Razgour, O (corresponding author), Univ Bristol, Sch Biol Sci, Bristol BS8 1TQ, Avon, England.
EM Orly.Razgour@soton.ac.uk
RI Novella-Fernandez, Roberto/AFH-8373-2022; Razgour, Orly/X-3478-2019;
   Alberdi, Antton/M-2423-2017; Razgour, Orly/B-9646-2011; Puechmaille,
   Sebastien/D-1612-2010; Juste, Javier/B-9253-2013; Ibanez,
   Carlos/H-7577-2015
OI Alberdi, Antton/0000-0002-2875-6446; Novella Fernandez,
   Roberto/0000-0003-4013-0646; Bekaert, Michael/0000-0002-1206-7654;
   Razgour, Orly/0000-0003-3186-0313; Puechmaille,
   Sebastien/0000-0001-9517-5775; Juste, Javier/0000-0003-1383-8462;
   Forester, Brenna/0000-0002-1608-1904; Ibanez, Carlos/0000-0003-1181-7641
FU Natural Environment Research Council Independent Research Fellowship
   [NE/M018660/1]; German Research Council research training group RTG;
   NERC [NE/M018660/1, NE/M018660/2, NE/M018660/3] Funding Source: UKRI
FX We thank the following people for help with sample collection: J. A.
   Garrido-Garcia, J. Quetglas-Santos, P. Horta, H. Raposeira, H. Rebelo,
   Z. Lopez-Gallego, L. Santos Fernandez, R. Hermida, F. Gonzalez Alvarez,
   M. Mas Navarro, X. Puig Montserrat, O. G. de Paz Garcia-Guerrero, B.
   Allegrini, R. Toffoli, S. Bareille, J.-C. Gattus, and T. Bernard. We are
   grateful to Angelica Menchaca Rodriguez and Charilaos Pylidis for their
   help with lab work and to Danilo Russo for providing records for
   modeling. This work was carried out as part of a Natural Environment
   Research Council Independent Research Fellowship (NE/M018660/1; awarded
   to O. R.). S.J.P. was supported by the German Research Council research
   training group RTG 2010.
CR Araújo MB, 2007, TRENDS ECOL EVOL, V22, P42, DOI 10.1016/j.tree.2006.09.010
   Araújo MB, 2013, ECOL LETT, V16, P1206, DOI 10.1111/ele.12155
   Bay RA, 2018, SCIENCE, V359, P83, DOI 10.1126/science.aan4380
   Bay RA, 2017, AM NAT, V189, P463, DOI 10.1086/691233
   Bay RA, 2014, CURR BIOL, V24, DOI 10.1016/j.cub.2014.10.044
   Bell G, 2017, ANNU REV ECOL EVOL S, V48, P605, DOI 10.1146/annurev-ecolsys-110316-023011
   Garzón MB, 2011, GLOBAL ECOL BIOGEOGR, V20, P766, DOI 10.1111/j.1466-8238.2010.00646.x
   Botkin DB, 2007, BIOSCIENCE, V57, P227, DOI 10.1641/B570306
   Buisson L, 2010, GLOBAL CHANGE BIOL, V16, P1145, DOI 10.1111/j.1365-2486.2009.02000.x
   Bush A, 2016, ECOL LETT, V19, P1468, DOI 10.1111/ele.12696
   Cahill AE, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2012.1890
   D'Amen M, 2013, GLOBAL ECOL BIOGEOGR, V22, P93, DOI 10.1111/j.1466-8238.2012.00774.x
   Dent R, 2012, PLOS ONE, V7, DOI [10.1371/journal.pone.0037135, 10.1371/journal.pone.0036889]
   Forester BR, 2018, MOL ECOL, V27, P2215, DOI 10.1111/mec.14584
   Frichot E, 2013, MOL BIOL EVOL, V30, P1687, DOI 10.1093/molbev/mst063
   Geerts AN, 2015, NAT CLIM CHANGE, V5, P665, DOI 10.1038/NCLIMATE2628
   Hällfors MH, 2016, ECOL APPL, V26, P1154, DOI 10.1890/15-0926
   Hoffmann AA, 2011, NATURE, V470, P479, DOI 10.1038/nature09670
   Hollingsworth E, 2009, THESIS
   Hutterer Rainer, 2005, P1
   Ibáñez C, 2006, ACTA CHIROPTEROL, V8, P277, DOI 10.3161/1733-5329(2006)8[277:TICTCD]2.0.CO;2
   Ikeda DH, 2017, GLOBAL CHANGE BIOL, V23, P164, DOI 10.1111/gcb.13470
   Juste J, 2018, ACTA CHIROPTEROL, V20, P285, DOI 10.3161/15081109ACC2018.20.2.001
   Lindner M, 2010, FOREST ECOL MANAG, V259, P698, DOI 10.1016/j.foreco.2009.09.023
   Lowry DB, 2017, MOL ECOL RESOUR, V17, P142, DOI 10.1111/1755-0998.12635
   Manel S, 2005, TRENDS ECOL EVOL, V20, P136, DOI 10.1016/S0169-5347(03)00008-9
   McRae BH, 2006, EVOLUTION, V60, P1551, DOI 10.1111/j.0014-3820.2006.tb00500.x
   Merow C, 2013, ECOGRAPHY, V36, P1058, DOI 10.1111/j.1600-0587.2013.07872.x
   Norberg J, 2012, NAT CLIM CHANGE, V2, P747, DOI [10.1038/nclimate1588, 10.1038/NCLIMATE1588]
   Pacifici M, 2015, NAT CLIM CHANGE, V5, P215, DOI 10.1038/NCLIMATE2448
   Pauls SU, 2013, MOL ECOL, V22, P925, DOI 10.1111/mec.12152
   Puechmaille SJ, 2012, MAMM BIOL, V77, P224, DOI 10.1016/j.mambio.2011.11.004
   Razgour O, 2018, MOL ECOL RESOUR, V18, P18, DOI 10.1111/1755-0998.12694
   Razgour O, 2015, MOL ECOL, V24, P5267, DOI 10.1111/mec.13379
   Razgour O, 2014, DIVERS DISTRIB, V20, P1173, DOI 10.1111/ddi.12200
   Rellstab C, 2015, MOL ECOL, V24, P4348, DOI 10.1111/mec.13322
   Ruegg K, 2018, ECOL LETT, V21, P1085, DOI 10.1111/ele.12977
   Salicini I, 2011, MOL PHYLOGENET EVOL, V61, P888, DOI 10.1016/j.ympev.2011.08.010
   Savolainen O, 2013, NAT REV GENET, V14, P807, DOI 10.1038/nrg3522
   Schiffers K, 2013, PHILOS T R SOC B, V368, DOI 10.1098/rstb.2012.0083
   Shafer ABA, 2015, TRENDS ECOL EVOL, V30, P78, DOI 10.1016/j.tree.2014.11.009
   Slatyer RA, 2016, ECOGRAPHY, V39, P572, DOI 10.1111/ecog.01616
   Stocker, 2014, CLIMATE CHANGE 2013
   Sunday JM, 2012, NAT CLIM CHANGE, V2, P686, DOI 10.1038/NCLIMATE1539
   Thuiller W, 2009, ECOGRAPHY, V32, P369, DOI 10.1111/j.1600-0587.2008.05742.x
   Urban MC, 2015, SCIENCE, V348, P571, DOI 10.1126/science.aaa4984
   Valladares F, 2014, ECOL LETT, V17, P1351, DOI 10.1111/ele.12348
   Wal EV, 2013, PHILOS T R SOC B, V368, DOI 10.1098/rstb.2012.0090
   Wiens JJ, 2016, PLOS BIOL, V14, DOI 10.1371/journal.pbio.2001104
NR 49
TC 299
Z9 331
U1 19
U2 207
PU NATL ACAD SCIENCES
PI WASHINGTON
PA 2101 CONSTITUTION AVE NW, WASHINGTON, DC 20418 USA
SN 0027-8424
EI 1091-6490
J9 P NATL ACAD SCI USA
JI Proc. Natl. Acad. Sci. U. S. A.
PD MAY 21
PY 2019
VL 116
IS 21
BP 10418
EP 10423
DI 10.1073/pnas.1820663116
PG 6
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA HY8PY
UT WOS:000468403400041
PM 31061126
OA Green Published, Green Accepted, hybrid
HC Y
HP N
DA 2025-01-10
ER

PT J
AU Delhey, K
   Dale, J
   Valcu, M
   Kempenaers, B
AF Delhey, Kaspar
   Dale, James
   Valcu, Mihai
   Kempenaers, Bart
TI Reconciling ecogeographical rules: rainfall and temperature predict
   global colour variation in the largest bird radiation
SO ECOLOGY LETTERS
LA English
DT Article
DE adaptation; biogeography; birds; Bogert's rule; camouflage; climate;
   Gloger's rule; passeriformes; plumage; thermoregulation
ID SPATIAL AUTOCORRELATION; BERGMANNS RULE; CLIMATE-CHANGE; GLOGERS RULE;
   LIFE-HISTORY; COAT COLOR; TRADE-OFFS; SELECTION; ADAPTATION; EVOLUTION
AB Ecogeographical rules that associate climate with organismal form and function can reveal patterns of climatic adaptation. Two rules link animal coloration with climate: Gloger's rule (darker coloration where wet and warm), and Bogert's rule (darker coloration where cold). Whereas Gloger's rule was proposed for endotherms, and Bogert's rule for ectotherms, both rules may apply more broadly, despite their seemingly opposing effects. Here, we test this contradiction on a global scale across passerine birds. Consistent with Gloger's rule, birds were darker in wetter areas and, following Bogert's rule, lighter where warm, although birds became lighter again at very low temperatures. Rainfall and temperature had antagonistic or additive effects depending on their pattern of covariation, and this predicted whether birds followed the rules. We integrate both rules into a general framework to explain heterogeneity in climatic effects on coloration, which has implications to understand patterns of diversification, climatic adaptation and climate change impacts.
C1 [Delhey, Kaspar] Monash Univ, Sch Biol Sci, Clayton, Vic, Australia.
   [Dale, James] Massey Univ, Inst Nat & Math Sci, Auckland, New Zealand.
   [Valcu, Mihai; Kempenaers, Bart] Max Planck Inst Ornithol, Seewiesen, Germany.
C3 Monash University; Massey University; Max Planck Society
RP Delhey, K (corresponding author), Monash Univ, Sch Biol Sci, Clayton, Vic, Australia.
EM kaspardelhey@gmail.com
RI Delhey, Kaspar/AAZ-5362-2020; Valcu, Mihai/AAX-8842-2021
OI Delhey, Kaspar/0000-0001-5190-5406; Valcu, Mihai/0000-0002-6907-7802;
   Kempenaers, Bart/0000-0002-7505-5458
FU Royal Society of New Zealand [15-MAU-136]
FX We thank three anonymous reviewers for constructive criticism that
   helped improve the manuscript, in particular the suggestion to explore
   non-linear climatic effects, and Alex McQueen for sharing data on
   nuptial moult. J.D. was supported by a Marsden Fund Grant (15-MAU-136)
   from the Royal Society of New Zealand.
CR ALDRICH JW, 1991, AUK, V108, P230
   Amtmann E., 1965, Z MORPH OEKOL TIERE, V529, P515
   [Anonymous], 2006, Biogeography
   Barton K., 2017, Multi-model inference
   Bastide H, 2014, BMC EVOL BIOL, V14, DOI 10.1186/s12862-014-0179-y
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Bishop TR, 2016, GLOBAL ECOL BIOGEOGR, V25, P1489, DOI 10.1111/geb.12516
   BOGERT CM, 1949, EVOLUTION, V3, P195, DOI 10.2307/2405558
   Briscoe NJ, 2015, J BIOGEOGR, V42, P791, DOI 10.1111/jbi.12445
   Burns KC, 2015, FRONT ECOL EVOL, V3, DOI 10.3389/fevo.2015.00118
   Burtt EH, 2004, CONDOR, V106, P681, DOI 10.1650/7383
   Busso JP, 2018, J BIOGEOGR, V45, P593, DOI 10.1111/jbi.13140
   Caro T, 2005, BIOSCIENCE, V55, P125, DOI 10.1641/0006-3568(2005)055[0125:TASOCI]2.0.CO;2
   Cheng WD, 2018, ECOL ENTOMOL, V43, P304, DOI 10.1111/een.12499
   Clusella Trullas S, 2007, J THERM BIOL, V32, P235, DOI 10.1016/j.jtherbio.2007.01.013
   Cordero RJB, 2018, CURR BIOL, V28, P2657, DOI 10.1016/j.cub.2018.06.034
   Crase B, 2012, ECOGRAPHY, V35, P879, DOI 10.1111/j.1600-0587.2011.07138.x
   Cuthill IC, 2015, NAT PLANTS, V1, DOI [10.1038/NPLANTS.2014.13, 10.1038/nplants.2014.13]
   Dale J, 2015, NATURE, V527, P367, DOI 10.1038/nature15509
   Dalrymple RL, 2018, ECOL MONOGR, V88, P204, DOI 10.1002/ecm.1287
   De Keyser R, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0122623
   Defries RS, 2000, GLOBAL CHANGE BIOL, V6, P247, DOI 10.1046/j.1365-2486.2000.00296.x
   del Hoyo J., HDB BIRDS WORLD, P8
   Delhey K, 2018, ECOGRAPHY, V41, P673, DOI 10.1111/ecog.03040
   Delhey K, 2017, CURR BIOL, V27, pR689, DOI 10.1016/j.cub.2017.04.031
   Delhey K, 2017, CONSERV BIOL, V31, P30, DOI 10.1111/cobi.12834
   Delhey K, 2015, SCI REP-UK, V5, DOI 10.1038/srep18514
   Dormann CF, 2007, GLOBAL ECOL BIOGEOGR, V16, P774, DOI 10.1111/j.1466-8238.2007.00344.x
   Dreiss AN, 2016, OECOLOGIA, V180, P371, DOI 10.1007/s00442-015-3491-3
   Ducrest AL, 2008, TRENDS ECOL EVOL, V23, P502, DOI 10.1016/j.tree.2008.06.001
   Fargallo JA, 2018, AM NAT, V191, P726, DOI 10.1086/697218
   Friedman NR, 2017, GLOBAL ECOL BIOGEOGR, V26, P261, DOI 10.1111/geb.12522
   Galeotti P, 2009, BIOL LETTERS, V5, P532, DOI 10.1098/rsbl.2009.0207
   Galván I, 2018, FUNCT ECOL, V32, P1531, DOI 10.1111/1365-2435.13094
   Galván I, 2016, INT J MOL SCI, V17, DOI 10.3390/ijms17040520
   Gaston KJ, 2008, J BIOGEOGR, V35, P483, DOI 10.1111/j.1365-2699.2007.01772.x
   Gaston KJ, 2009, AM NAT, V174, P595, DOI 10.1086/605982
   Gipson PS, 2002, WILDLIFE SOC B, V30, P821
   Gloger CL., 1833, ABANDERN VOGEL DURCH
   Gutiérrez-Pinto N, 2014, BIOL J LINN SOC, V111, P850, DOI 10.1111/bij.12249
   Hagen JB, 2017, J HIST BIOL, V50, P235, DOI 10.1007/s10739-016-9446-7
   Hawkins BA, 2017, J BIOGEOGR, V44, P1199, DOI 10.1111/jbi.12953
   Ho LST, 2014, SYST BIOL, V63, P397, DOI 10.1093/sysbio/syu005
   Holt B, 2013, SCIENCE, V339, P74, DOI 10.1126/science.1228282
   Jetz W, 2012, NATURE, V491, P444, DOI 10.1038/nature11631
   Jezkova T, 2018, MOL ECOL, V27, P2754, DOI 10.1111/mec.14717
   Kamilar JM, 2011, J BIOGEOGR, V38, P2270, DOI 10.1111/j.1365-2699.2011.02587.x
   Karger DN, 2017, SCI DATA, V4, DOI 10.1038/sdata.2017.122
   Keller I, 2012, MOL ECOL, V21, P782, DOI 10.1111/j.1365-294X.2011.05397.x
   Koski MH, 2015, NAT PLANTS, V1, DOI [10.1038/NPLANTS.2014.7, 10.1038/nplants.2014.7]
   Lai YC, 2008, J ZOOL, V274, P270, DOI 10.1111/j.1469-7998.2007.00382.x
   Lai YC, 2016, ZOOL STUD, V55, DOI 10.6620/ZS.2016.55-26
   Maloney SK, 2009, BIOL LETTERS, V5, P826, DOI 10.1098/rsbl.2009.0424
   MARCHETTI K, 1993, NATURE, V362, P149, DOI 10.1038/362149a0
   Martin PR, 2010, EVOLUTION, V64, P336, DOI 10.1111/j.1558-5646.2009.00831.x
   McQueen A, 2017, P ROY SOC B-BIOL SCI, V284, DOI 10.1098/rspb.2017.0446
   Medina A, 2007, J BIOGEOGR, V34, P1439, DOI 10.1111/j.1365-2699.2007.01708.x
   Medina I, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-05898-8
   Millien V, 2006, ECOL LETT, V9, P853, DOI 10.1111/j.1461-0248.2006.00928.x
   Mills L Scott, 2013, Proc Natl Acad Sci U S A, V110, P7360, DOI 10.1073/pnas.1222724110
   Miskimen G. W., 1972, BIOTROPICA, V4, P85
   Morales HE, 2017, J BIOGEOGR, V44, P522, DOI 10.1111/jbi.12942
   Nakagawa S, 2013, METHODS ECOL EVOL, V4, P133, DOI 10.1111/j.2041-210x.2012.00261.x
   Nakagawa S, 2012, EVOL ECOL, V26, P1253, DOI 10.1007/s10682-012-9555-5
   Negro JJ, 2018, J AVIAN BIOL, V49, DOI 10.1111/jav.01657
   Olson VA, 2009, ECOL LETT, V12, P249, DOI 10.1111/j.1461-0248.2009.01281.x
   Pannkuk EL, 2010, FUNCT ECOL, V24, P347, DOI 10.1111/j.1365-2435.2009.01634.x
   Patten MA, 2004, EVOLUTION, V58, P2144
   Rensch B., 1929, P1
   Revell LJ, 2012, METHODS ECOL EVOL, V3, P217, DOI 10.1111/j.2041-210X.2011.00169.x
   Riemer K, 2018, ELIFE, V7, DOI 10.7554/eLife.27166
   Roulin A, 2009, J EVOLUTION BIOL, V22, P345, DOI 10.1111/j.1420-9101.2008.01651.x
   Roulin A, 2014, GLOBAL CHANGE BIOL, V20, P3344, DOI 10.1111/gcb.12594
   Salewski V, 2017, OIKOS, V126, P161, DOI 10.1111/oik.03698
   San-Jose LM, 2018, AM NAT, V192, P111, DOI 10.1086/698010
   Sandoval-Castellanos E, 2017, NAT ECOL EVOL, V1, P1816, DOI 10.1038/s41559-017-0358-5
   Schielzeth H, 2010, METHODS ECOL EVOL, V1, P103, DOI 10.1111/j.2041-210X.2010.00012.x
   Servedio MR, 2011, TRENDS ECOL EVOL, V26, P389, DOI 10.1016/j.tree.2011.04.005
   Singaravelan N, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0069346
   Symonds MRE, 2011, BEHAV ECOL SOCIOBIOL, V65, P13, DOI 10.1007/s00265-010-1037-6
   Symonds MRE, 2010, AM NAT, V176, P188, DOI 10.1086/653666
   Tattersall GJ, 2012, COMPR PHYSIOL, V2, P2151, DOI 10.1002/cphy.c110055
   Teplitsky C, 2014, EVOL APPL, V7, P156, DOI 10.1111/eva.12129
   Valcu M, 2012, GLOBAL ECOL BIOGEOGR, V21, P945, DOI 10.1111/j.1466-8238.2011.00739.x
   Viechtbauer W, 2010, J STAT SOFTW, V36, P1, DOI 10.18637/jss.v036.i03
   WATSON LJ, 1977, PROF GEOGR, V29, P374, DOI 10.1111/j.0033-0124.1977.00374.x
   Wu ZT, 2011, GLOBAL CHANGE BIOL, V17, P927, DOI 10.1111/j.1365-2486.2010.02302.x
   Xing S, 2016, ECOL EVOL, V6, P8062, DOI 10.1002/ece3.2464
   Zeuss D, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms4874
   Zink Robert M., 1986, V4, P1
NR 90
TC 54
Z9 60
U1 5
U2 67
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1461-023X
EI 1461-0248
J9 ECOL LETT
JI Ecol. Lett.
PD APR
PY 2019
VL 22
IS 4
BP 726
EP 736
DI 10.1111/ele.13233
PG 11
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA HO2TC
UT WOS:000460768100017
PM 30779293
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Roach, NS
   Castellanos, AA
   Lacher, TE Jr
AF Roach, Nicolette S.
   Castellanos, Adrian A.
   Lacher Jr, Thomas E.
TI Assessing the Vulnerability of Endemic Colombian Amphibian Species to
   Climate Change in an Isolated Montane Ecosystem
SO TROPICAL CONSERVATION SCIENCE
LA English
DT Article
DE amphibians; climate change; vulnerability assessment; neotropics;
   modeling; threatened species
ID LAND-USE; SIERRA-NEVADA; SANTA-MARTA; DISTRIBUTION MODELS; MOUNTAIN
   PASSES; ANURA BUFONIDAE; PROTECTED AREAS; CONSERVATION; BIODIVERSITY;
   IMPACTS
AB Background and Research AimsClimate change, habitat loss, and fragmentation are the major threats to biodiversity. Montane amphibians are particularly sensitive to these threats. We address the vulnerability of the amphibian community in Colombia using a Climate Change Vulnerability Assessment (CCVA) and prioritize amphibian species at risk of extinction and in need of conservation actions.MethodsWe completed two independent spatial analyses to assess species vulnerability in the Sierra Nevada de Santa Marta (SNSM), Colombia. First, we calculated the Area of Habitat and the percent of the Area of Habitat under protected area coverage for 19 species. We then examined the breadth of climatic space occupied by 16 species and how this space is predicted to shift under climate scenarios (RCP scenarios 4.5 and 8.5) for 12 General Circulation Models for 2050. We combined these two analyses with trait data related to adaptive capacity, obtained from previous research, to create a combined (correlative-trait) CCVA.ResultsOur analysis reveals a large reduction in available climatic space under both RCP scenarios by 2050. Our CCVA identified eight high priority species, including three Atelopus species and five within the Serranobatrachus/Tachiramantis complex, with extreme reductions in available climate space under RCP 8.5. The SNSM endemic and range restricted species are at elevated risk of extinction under climate change scenarios, with many moving into a high-risk category of extinction under the RCP 8.5. Given its isolation, the endemic species of the Sierra Nevada de Santa Marta (SNSM) are threatened by changing climates.Implications for ConservationThe information provided in this manuscript used a vulnerability assessment to develop regional strategies for climate change adaptation and conservation. When possible, climate vulnerability must be incorporated into future adaptation and priority planning for the conservation of endemic, threatened montane amphibians, preferably via local management plans.
C1 [Roach, Nicolette S.; Lacher Jr, Thomas E.] Texas A&M Univ, Dept Ecol & Conservat Biol, College Stn, TX USA.
   [Roach, Nicolette S.; Lacher Jr, Thomas E.] Rewild, Austin, TX USA.
   [Castellanos, Adrian A.] Cary Inst Ecosyst Studies, Millbrook, NY USA.
C3 Texas A&M University System; Texas A&M University College Station; Cary
   Institute of Ecosystem Studies
RP Roach, NS (corresponding author), Texas A&M Univ, Dept Ecol & Conservat Biol, 4911 Cent Ave, College Stn, TX 94804 USA.
EM nicoletteroach@gmail.com
FU Mohamed bin Zayed Species Conservation Fund [162514343, 1804788];
   Fulbright Colombia [ReWild]; Chicago Herpetological Society; Phoenix Zoo
FX The author(s) disclosed receipt of the following financial support for
   the research, authorship, and/or publication of this article: Research
   was made possible by the funding from the Mohamed bin Zayed Species
   Conservation Fund (162514343; 1804788), Fulbright Colombia, ReWild,
   Chicago Herpetological Society, and Phoenix Zoo.
CR Acosta Galvis A. R., 2023, Lista de los anfibios de Colombia: referencia en linea V.13.2023
   Aide TM., 1994, RESTOR ECOL, V2, P219
   Rueda-Solano LA, 2016, AMPHIB REPTILE CONSE, V10
   Amphibia Web, 2023, About us
   Anderson RP, 2013, ANN NY ACAD SCI, V1297, P8, DOI 10.1111/nyas.12264
   [Anonymous], 2022, Explore the World's Protected Areas
   Arroyo S, 2022, SYST BIODIVERS, V20, DOI 10.1080/14772000.2022.2123865
   Austin MP, 2011, J BIOGEOGR, V38, P1, DOI 10.1111/j.1365-2699.2010.02416.x
   Bachmann JC, 2020, AM NAT, V195, pE67, DOI 10.1086/707209
   Barros C, 2016, ECOL LETT, V19, P729, DOI 10.1111/ele.12617
   Bax V, 2019, J ENVIRON MANAGE, V232, P387, DOI 10.1016/j.jenvman.2018.11.086
   Beaumont LJ, 2008, ECOL LETT, V11, P1135, DOI 10.1111/j.1461-0248.2008.01231.x
   Beever EA, 2016, CONSERV LETT, V9, P131, DOI 10.1111/conl.12190
   Bellard C, 2012, ECOL LETT, V15, P365, DOI 10.1111/j.1461-0248.2011.01736.x
   Bernal MH, 2008, ZOOTAXA, P1, DOI 10.11646/zootaxa.1826.1.1
   Blonder B, 2014, GLOBAL ECOL BIOGEOGR, V23, P595, DOI 10.1111/geb.12146
   Bobrowski M, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12050543
   Böhm M, 2016, BIOL CONSERV, V204, P32, DOI 10.1016/j.biocon.2016.06.002
   Boone MD, 2007, ECOL APPL, V17, P291, DOI 10.1890/1051-0761(2007)017[0291:MSIACE]2.0.CO;2
   Breiner FT, 2015, METHODS ECOL EVOL, V6, P1210, DOI 10.1111/2041-210X.12403
   Broennimann O, 2012, GLOBAL ECOL BIOGEOGR, V21, P481, DOI 10.1111/j.1466-8238.2011.00698.x
   Brooks TM, 2019, TRENDS ECOL EVOL, V34, P977, DOI 10.1016/j.tree.2019.06.009
   Camero R. Edgar, 1999, Acta Biologica Colombiana, V4, P35
   Cerasoli F, 2022, ECOL EVOL, V12, DOI 10.1002/ece3.8430
   Cheza J., 2020, Technology, Sustainability, and Educational Innovation (TSIE), P1
   Cortés-Gómez AM, 2013, TROP CONSERV SCI, V6, P749, DOI 10.1177/194008291300600604
   Deutsch CA, 2008, P NATL ACAD SCI USA, V105, P6668, DOI 10.1073/pnas.0709472105
   Di Cola V, 2017, ECOGRAPHY, V40, P774, DOI 10.1111/ecog.02671
   Duran-Izquierdo M, 2021, GLOB ECOL CONSERV, V28, DOI 10.1016/j.gecco.2021.e01592
   Earl JE, 2015, FOREST ECOL MANAG, V357, P151, DOI 10.1016/j.foreco.2015.08.023
   Elith J, 2010, METHODS ECOL EVOL, V1, P330, DOI 10.1111/j.2041-210X.2010.00036.x
   Elsen PR, 2015, NAT CLIM CHANGE, V5, P772, DOI [10.1038/NCLIMATE2656, 10.1038/nclimate2656]
   Enriquez-Urzelai U, 2019, CLIMATIC CHANGE, V154, P289, DOI 10.1007/s10584-019-02422-9
   Etard A, 2024, CONSERV BIOL, V38, DOI 10.1111/cobi.14208
   Etter A, 2006, AGR ECOSYST ENVIRON, V114, P369, DOI 10.1016/j.agee.2005.11.013
   Feijo A., 2023, CLIM CHANG ECOL, V4, P100062, DOI [10.1016/j.ecochg.2022.100062, DOI 10.1016/J.ECOCHG.2022.100062]
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Flechas SV, 2017, BIOTROPICA, V49, P685, DOI 10.1111/btp.12457
   Foden W.B., 2016, IUCN SSC Guidelines for Assessing Species Vulnerability to Climate Change, P114, DOI [10.2305/IUCN.CH.2016.SSC-OP.59.en, DOI 10.2305/IUCN.CH.2016.SSC-OP.59.EN]
   Foden WB, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.551
   Foden WB, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0065427
   Forero-Medina G, 2011, CONSERV BIOL, V25, P163, DOI 10.1111/j.1523-1739.2010.01572.x
   Gardali T, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0029507
   Ghalambor CK, 2006, INTEGR COMP BIOL, V46, P5, DOI 10.1093/icb/icj003
   Gómez-Ruiz EP, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-50059-6
   Gonzalez-Maya Jose F., 2011, Journal of Threatened Taxa, V3, P1633
   Granados-Pena Ramon, 2014, Revista Biodiversidad Neotropical, V4, P141
   Granda-Rodríguez HD, 2020, AMPHIB REPTILE CONSE, V14, P29
   Guisan A, 2014, TRENDS ECOL EVOL, V29, P260, DOI 10.1016/j.tree.2014.02.009
   Hagger V, 2013, AUSTRAL ECOL, V38, P465, DOI 10.1111/j.1442-9993.2012.02437.x
   Hannah L, 2008, ANN NY ACAD SCI, V1134, P201, DOI 10.1196/annals.1439.009
   Harris RMB, 2014, WIRES CLIM CHANGE, V5, P621, DOI 10.1002/wcc.291
   Heyer R.W., 1994, MEASURING MONITORING
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hoffmann M, 2010, SCIENCE, V330, P1503, DOI 10.1126/science.1194442
   Howard C, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-14771-6
   HUEY RB, 1978, AM NAT, V112, P225, DOI 10.1086/283262
   IUCN, 2012, IUCN red list categories and criteria, V2nd
   IUCN Red List of Threatened Species, 2023, ABOUT US
   IUCN Species Survival Commission, 2016, Occasional Paper of the IUCN Species Survival Commission No. 59, px+114pp
   Jantz SM, 2015, CONSERV BIOL, V29, P1122, DOI 10.1111/cobi.12549
   JANZEN DH, 1967, AM NAT, V101, P233, DOI 10.1086/282487
   Jarvis A., 2017, SRTM 90m Digital Elevation Database v4.1
   Jezkova T, 2020, J BIOGEOGR, V47, P712, DOI 10.1111/jbi.13777
   Agudelo-Hz WJ, 2019, PERSPECT ECOL CONSER, V17, P206, DOI 10.1016/j.pecon.2019.11.002
   La Sorte FA, 2010, P ROY SOC B-BIOL SCI, V277, P3401, DOI 10.1098/rspb.2010.0612
   Lacher TE, 2018, The Encyclopedia of the Anthropocene, V3, P1, DOI [DOI 10.1016/B978-0-12-409548-9.10674-8, 10.1016/B978-0-12-409548-9.10674-8]
   Lacher TE, 2012, CONSERV LETT, V5, P327, DOI 10.1111/j.1755-263X.2012.00249.x
   Laurance WF, 2014, TRENDS ECOL EVOL, V29, P107, DOI 10.1016/j.tree.2013.12.001
   Le Saout S, 2013, SCIENCE, V342, P803, DOI 10.1126/science.1239268
   Lips KR, 2008, PLOS BIOL, V6, P441, DOI 10.1371/journal.pbio.0060072
   Lips KR, 2004, BIOL CONSERV, V119, P555, DOI 10.1016/j.biocon.2004.01.017
   Lowrey C, 2016, J MAMMAL, V97, P1033, DOI 10.1093/jmammal/gyw026
   Luedtke JA, 2023, NATURE, V622, P308, DOI 10.1038/s41586-023-06578-4
   Lynch John D., 2001, Caldasia, V23, P491
   Mathwin R, 2021, CONSERV BIOL, V35, P24, DOI 10.1111/cobi.13501
   Mayani-Parás F, 2019, DIVERSITY-BASEL, V11, DOI 10.3390/d11110210
   McCain CM, 2011, ECOL LETT, V14, P1236, DOI 10.1111/j.1461-0248.2011.01695.x
   Mendenhall CD, 2014, ECOLOGY, V95, P856, DOI 10.1890/12-2017.1
   Mendoza-Henao AM, 2019, ECOLOGY, V100, DOI 10.1002/ecy.2685
   Menendez-Guerrero PA, 2020, ECOGRAPHY, V43, P222, DOI 10.1111/ecog.04510
   Mesquita AFC, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-16425-y
   Mongabay, 2019, Arhuaco community of Colombia allows scientists to photograph lost toad Mongabay Environmental News
   Moreno D, 2021, ECOGRAPHY, V44, P1180, DOI 10.1111/ecog.05414
   Mwenge Kahinda J., 2019, Compendium of community and indigenous strategies for climate change adaptation  Focus on addressing water scarcity in agriculture
   Navas CA, 2006, INTEGR COMP BIOL, V46, P82, DOI 10.1093/icb/icj001
   Navas CA, 2002, COMP BIOCHEM PHYS A, V133, P469, DOI 10.1016/S1095-6433(02)00207-6
   Navas CA, 2013, FUNCT ECOL, V27, P1145, DOI 10.1111/1365-2435.12106
   Newbold T, 2015, NATURE, V520, P45, DOI 10.1038/nature14324
   Nowakowski AJ, 2018, P NATL ACAD SCI USA, V115, pE3454, DOI 10.1073/pnas.1714891115
   Nowakowski AJ, 2017, CONSERV BIOL, V31, P96, DOI 10.1111/cobi.12769
   Ocampo-Peñuela N, 2016, SCI ADV, V2, DOI 10.1126/sciadv.1601367
   Pacifici M, 2018, GLOBAL CHANGE BIOL, V24, P1626, DOI 10.1111/gcb.13942
   Pacifici M, 2015, NAT CLIM CHANGE, V5, P215, DOI 10.1038/NCLIMATE2448
   Parmesan C, 2011, NAT CLIM CHANGE, V1, P2, DOI 10.1038/nclimate1056
   Peters MK, 2019, NATURE, V568, P88, DOI 10.1038/s41586-019-1048-z
   Peterson A. Townsend, 2015, European Journal of Ecology, V1, P28, DOI 10.1515/eje-2015-0014
   Petriello MA, 2020, CONSERV BIOL, V34, P338, DOI 10.1111/cobi.13396
   Peyre G, 2018, PEERJ, V6, DOI 10.7717/peerj.4786
   Platts PJ, 2014, DIVERS DISTRIB, V20, P1307, DOI 10.1111/ddi.12244
   Pounds JA, 2006, NATURE, V439, P161, DOI 10.1038/nature04246
   Prieto-Torres DA, 2020, PERSPECT ECOL CONSER, V18, P19, DOI 10.1016/j.pecon.2020.01.002
   R, 2022, The R Project for Statistical Computing
   R Core Team, 2020, R: A Language and Environment for Statistical Computing
   Rahbek C, 2019, SCIENCE, V365, P1108, DOI 10.1126/science.aax0149
   Raxworthy CJ, 2008, GLOBAL CHANGE BIOL, V14, P1703, DOI 10.1111/j.1365-2486.2008.01596.x
   Rivera-Ordonez JM, 2019, BIOTROPICA, V51, P747, DOI 10.1111/btp.12691
   Roach NS, 2021, ECOL SOC, V26, DOI 10.5751/ES-12449-260233
   Roach NS, 2020, GLOB ECOL CONSERV, V22, DOI 10.1016/j.gecco.2020.e00968
   Rocca LHD, 2022, TOUR MANAG PERSPECT, V43, DOI 10.1016/j.tmp.2022.100985
   Solano LAR, 2016, J THERM BIOL, V58, P91, DOI 10.1016/j.jtherbio.2016.04.007
   Salazar A, 2018, FRONT ECOL ENVIRON, V16, P525, DOI 10.1002/fee.1950
   Scheele B, 2019, SCIENCE, V363, P1459, DOI 10.1126/science.aav0379
   Seddon N, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0120
   Semlitsch R.D., 2003, Amphibian Conservation
   Stuart S.N., 2008, THREATENED AMPHIBIAN
   Stuart SN, 2004, SCIENCE, V306, P1783, DOI 10.1126/science.1103538
   Thornton TF, 2012, ECOL SOC, V17, DOI 10.5751/ES-04714-170308
   Thurman LL, 2020, FRONT ECOL ENVIRON, V18, P520, DOI 10.1002/fee.2253
   Trivedi MR, 2008, GLOBAL CHANGE BIOL, V14, P1089, DOI 10.1111/j.1365-2486.2008.01553.x
   UNEP-WCMC and IUCN, 2022, PROT PLAN WORLD DAT
   Urban MC, 2018, P NATL ACAD SCI USA, V115, P11871, DOI 10.1073/pnas.1817416115
   Urban MC, 2015, SCIENCE, V348, P571, DOI 10.1126/science.aaa4984
   Urrutia R, 2009, J GEOPHYS RES-ATMOS, V114, DOI 10.1029/2008JD011021
   van Proosdij ASJ, 2016, ECOGRAPHY, V39, P542, DOI 10.1111/ecog.01509
   Vicenzi N, 2017, BIOL CONSERV, V206, P151, DOI 10.1016/j.biocon.2016.12.030
   von May R, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0219759
   Wake DB, 2008, P NATL ACAD SCI USA, V105, P11466, DOI 10.1073/pnas.0801921105
   Warudkar A, 2022, BIOTROPICA, V54, P1466, DOI 10.1111/btp.13132
   Whitfield SM, 2016, COPEIA, V104, P351, DOI 10.1643/CH-15-300
   Williams JJ, 2020, DIVERS DISTRIB, V26, P76, DOI 10.1111/ddi.12999
NR 131
TC 1
Z9 1
U1 4
U2 6
PU SAGE PUBLICATIONS INC
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 1940-0829
J9 TROP CONSERV SCI
JI Trop. Conserv. Sci.
PD JAN
PY 2024
VL 17
AR 19400829231225236
DI 10.1177/19400829231225236
PG 17
WC Biodiversity Conservation
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation
GA LC9N1
UT WOS:001184699000001
OA hybrid
DA 2025-01-10
ER

PT J
AU Sanciolo, P
   Sharma, AK
   Navaratna, D
   Muthukumaran, S
AF Sanciolo, Peter
   Sharma, Ashok K.
   Navaratna, Dimuth
   Muthukumaran, Shobha
TI Stormwater Treatment Using Natural and Engineered Options in an Urban
   Growth Area: A Case Study in the West of Melbourne
SO WATER
LA English
DT Article
DE stormwater harvesting; potable water supply; potable reuse; climate
   change; treatment trains; stormwater quality
ID POLYCYCLIC AROMATIC-HYDROCARBONS; WATER REUSE; WASTE-WATER; REMOVAL;
   FILTRATION; EFFICIENCY; MEMBRANES; EFFLUENT; RUNOFF; RISKS
AB The expected increase in urbanization and population in coming years is going to increase the impervious land area, leading to substantial increases in stormwater runoff and hydrological challenges, and presents significant challenges for urban potable water supply. These are worldwide challenges that can potentially be ameliorated by harvesting stormwater for potable use or for other uses that can reduce the pressure on potable water supply. This study sought to assist the local water authority in planning for future potable water supply through a review of the scientific literature to determine the likely chemical and microbial characteristics of stormwater, the treatment train (TT) requirements, and the likely costs of treatment to achieve potable standards for the high-growth metropolitan region of Melbourne, Australia. Literature stormwater quality statistical data and treatment process performance data were used to model the expected product water microbial and chemical quality after treatment using a number of advanced TT options. The results of the modelling were compared with literature microbial log reduction targets (LRTs) for the potable use of stormwater and with the Australian Drinking Water Guidelines (ADWG). It was found that a reverse osmosis (RO)-based TT with microfiltration pre-treatment and post-RO advanced oxidation and chlorination in storage reservoirs is a conservative stormwater potable use treatment option. A less conservative and less expensive ozone-and-biologically active filtration (O3/BAF)-based TT option is also proposed if RO concentrate disposal is deemed to be too challenging. These results could be useful in climate change adaptation involving the evaluation of options for the mitigation of future population-growth- and climate-change-driven water supply challenges, as well as urbanization-driven stormwater hydrology and receiving water pollution challenges.
C1 [Sanciolo, Peter; Sharma, Ashok K.; Navaratna, Dimuth; Muthukumaran, Shobha] Victoria Univ, Inst Sustainable Ind Liveable Cities, Melbourne, Vic 3011, Australia.
   [Sharma, Ashok K.; Navaratna, Dimuth; Muthukumaran, Shobha] Victoria Univ, Coll Sport Hlth & Engn, Melbourne, Vic 3011, Australia.
C3 Victoria University; Victoria University
RP Sanciolo, P; Sharma, AK; Muthukumaran, S (corresponding author), Victoria Univ, Inst Sustainable Ind Liveable Cities, Melbourne, Vic 3011, Australia.; Sharma, AK; Muthukumaran, S (corresponding author), Victoria Univ, Coll Sport Hlth & Engn, Melbourne, Vic 3011, Australia.
EM peter.sanciolo@vu.edu.au; ashok.sharma@vu.edu.au;
   dimuth.navaratna@vu.edu.au; shobha.muthukumaran@vu.edu.au
RI Sharma, Ashok/AAU-7623-2020; Sharma, Ashok/A-4945-2008; Muthukumaran,
   Shobha/J-9599-2013
OI Sharma, Ashok/0000-0002-0172-5033; Muthukumaran,
   Shobha/0000-0002-2660-8060
FU Victorian Government of Australia
FX The authors would like to acknowledge Greater Western Water for their
   support in selecting the case study site and providing associated data.
CR Ahmed W, 2019, SCI TOTAL ENVIRON, V692, P1304, DOI 10.1016/j.scitotenv.2019.07.055
   Augulyte L, 2009, J HAZARD MATER, V170, P103, DOI 10.1016/j.jhazmat.2009.04.129
   Berego YS, 2022, ENVIRON HEALTH INSIG, V16, DOI 10.1177/11786302221142749
   DELWP, 2016, GUIDELINES ASSESSING
   Dong LH, 2018, J HAZARD MATER, V359, P76, DOI 10.1016/j.jhazmat.2018.07.030
   ELREHAILI AM, 1995, WATER RES, V29, P1571, DOI 10.1016/0043-1354(94)00234-X
   EPHC NHMRC, 2008, NRMMC Australian Guidelines for Water Recycling: Managing Health and Environmental Risks (Phase 2)-Augmentation of Drinking Water Supplies
   Fountoulakis MS, 2009, ECOL ENG, V35, P1702, DOI 10.1016/j.ecoleng.2009.06.011
   Fujioka T, 2014, DESALINATION, V350, P28, DOI 10.1016/j.desal.2014.07.002
   Haarstad K, 2012, WATER SCI TECHNOL, V65, P76, DOI 10.2166/wst.2011.831
   He YZ, 2013, BIORESOURCE TECHNOL, V133, P150, DOI 10.1016/j.biortech.2013.01.074
   Ishihara M., 2009, Jpn. J. Water Treat. Biol, V45, P115, DOI [10.2521/jswtb.45.115, DOI 10.2521/JSWTB.45.115]
   Jadhao RK., 2012, Int J Chem Sci Appl, V3, P283
   Kumar V, 2022, J WATER PROCESS ENG, V45, DOI 10.1016/j.jwpe.2021.102518
   Lenntech Website, ABOUT US
   Martínez SB, 2011, WATER RESOUR MANAG, V25, P2109, DOI 10.1007/s11269-011-9798-x
   McCallum T., 2015, Kalkallo: A Case Study in Technological Innovation Amidst Complex Regulation
   Melbourne Water, 2020, Melbourne's Water Outlook 2021
   Muhammad A, 2008, BRAZ J CHEM ENG, V25, P453, DOI 10.1590/S0104-66322008000300003
   MWC, 2017, MELB WAT SYST STRAT
   NHMRC, 2009, AUSTR GUID WAT REC P
   NHMRC NRMMC Australian Drinking Water Guidelines, 2011, Commonwealth of Australia
   NWRI (National Water Research Institute), 2015, Framework for Direct Potable Reuse
   Orange City Council, 2018, Orange Stormwater to Potable: Building Urban Water Supply Diversity
   Sandoval ADO, 2019, J WATER PROCESS ENG, V30, DOI 10.1016/j.jwpe.2017.07.018
   Ozbey-Unal B, 2020, J WATER PROCESS ENG, V38, DOI 10.1016/j.jwpe.2020.101646
   Pokhrel D., 2005, Practice Periodical of Hazardous, Toxic and Radioactive Waste Management, V9, P152, DOI 10.1061/(ASCE)1090-025X(2005)9:3(152)
   Rubio-Clemente A, 2018, J ENVIRON CHEM ENG, V6, P2751, DOI 10.1016/j.jece.2018.03.046
   Sanches S, 2011, J HAZARD MATER, V192, P1458, DOI 10.1016/j.jhazmat.2011.06.065
   Schoen ME, 2017, MICROB RISK ANAL, V5, P32, DOI 10.1016/j.mran.2017.01.002
   Sharma AK, 2023, WATER-SUI, V15, DOI 10.3390/w15112093
   Smol M, 2012, ARCH ENVIRON PROT, V38, P49, DOI 10.2478/v10265-012-0040-6
   Soller JA, 2017, MICROB RISK ANAL, V5, P3, DOI 10.1016/j.mran.2016.08.003
   State Government of Victoria, 2022, Werribee Catchment Integrated Water Management Plan, Targets Driving Outcomes, Summary
   USEPA, 1980, Report No.: EPA-600/2-82-00lc
   USEPA, 1987, Report No: EPA/600/S2-87/109
   USEPA, 2017, EPA810R17002
   Üstün GE, 2011, DESALINATION, V277, P207, DOI 10.1016/j.desal.2011.04.032
   Varma M, 2021, SCI TOTAL ENVIRON, V755, DOI 10.1016/j.scitotenv.2020.142540
   Warsinger DM, 2018, PROG POLYM SCI, V81, P209, DOI 10.1016/j.progpolymsci.2018.01.004
   WHO Potable Reuse, 2017, Licence: CC BY-NC-SA 3.0 IGO
   Wiwoho BS, 2023, NAT HAZARDS, V117, P2835, DOI 10.1007/s11069-023-05969-0
   WRRF (Water Reuse Research Foundation), 2014, Product No: 14-08-1
   WRRF (Water Reuse Research Foundation), 2014, Product No.: 10-01-1
   WSAA (Water Services Association of Australia), 2015, Manual for the Application of Health Based Targets for Drinking Water Safety, September
   Yangali-Quintanilla V, 2009, J MEMBRANE SCI, V342, P251, DOI 10.1016/j.memsci.2009.06.048
   Yerushalmi L, 2006, WATER ENVIRON RES, V78, P2286, DOI 10.2175/106143005X86628
   Zanacic E, 2016, WATER RES, V104, P397, DOI 10.1016/j.watres.2016.08.043
NR 48
TC 0
Z9 0
U1 2
U2 6
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD DEC
PY 2023
VL 15
IS 23
AR 4047
DI 10.3390/w15234047
PG 23
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA AB9U0
UT WOS:001116125000001
OA gold, Green Accepted
DA 2025-01-10
ER

PT J
AU Iocca, L
   Fidélis, T
AF Iocca, Luciana
   Fidelis, Teresa
TI Is There a Place for Indigenous Peoples and Local Communities in Climate
   Change Policy and Governance? Learnings from a Brazilian Case
SO LAND
LA English
DT Article
DE Indigenous Peoples; local communities; traditional communities;
   traditional knowledge; climate change governance; participation;
   perception
ID TRADITIONAL KNOWLEDGE; CHANGE ADAPTATION; ADAPTIVE CAPACITY;
   VULNERABILITY; CONSERVATION; PERSPECTIVES; EXPERIENCES; MANAGEMENT;
   AUSTRALIA; IMPACTS
AB The specialized literature, leading organizations, and international law, like the Paris Agreement, have increasingly recognized the relevance of Indigenous Peoples' and Local Communities' contributions to climate change adaptation. Despite this, few studies have investigated how their rights are considered in relevant public policies and decision-making processes. This article explores how the rights of protection and participation of Traditional Peoples and Communities are incorporated in climate- and environment-related public policy documents and examines how community members perceive their engagement in the drafting of those documents and their implementing agencies. For this purpose, it uses a Brazilian traditional community as a case study and undertakes a content analysis of a set of plans and programs applying to its territory and a series of interviews with local members. The findings reveal that while there are a few references to Traditional Peoples and Communities in the diagnosis parts of the plans and programs, they are scarce in substantive parts like objectives and measures. In addition, those references rarely relate to traditional knowledge. These results are also visible in local plans. Moreover, community members appear to feel poorly protected from climate change impacts, misinformed about these plans and programs, and overlooked when it comes to the insertion of their traditional knowledge of climate action measures into these plans and programs. The poor recognition of the protected status of these peoples and communities in the context of climate change highlights the need for a more sensitive and robust design of climate and environment-related plans and programs, ensuring the incorporation of their valuable contributions and traditional knowledge. Further efforts are required to acknowledge this gap and to better bridge the translation of international law into national and municipal plans, and programs, and effectively involve Traditional Peoples and Communities.
C1 [Iocca, Luciana] Univ Aveiro, Dept Environm & Planning, Univ Campus, P-3018193 Aveiro, Portugal.
   [Fidelis, Teresa] Univ Aveiro, Dept Environm & Planning, Res Unit Governance Competitiveness & Publ Pol GOV, Univ Campus, P-3018193 Aveiro, Portugal.
C3 Universidade de Aveiro; Universidade de Aveiro
RP Iocca, L (corresponding author), Univ Aveiro, Dept Environm & Planning, Univ Campus, P-3018193 Aveiro, Portugal.
EM lucianaiocca@ua.pt; teresafidelis@ua.pt
RI Fidélis, Teresa/F-2677-2012
OI Fidelis, Teresa/0000-0002-6594-2571; IOCCA, LUCIANA/0000-0001-9860-0415
FU Coordenaco de Aperfeicoamento de Pessoal de Nivel Superior-Brazil
   (CAPES) [001]
FX This research was funded in part by the Coordenacao de Aperfeicoamento
   de Pessoal de Nivel Superior-Brazil (CAPES)-Finance Code 001.
CR Alam GMM, 2017, ECOL INDIC, V72, P23, DOI [10.1016/j.ecolind.7.016.06.045, 10.1016/j.ecolind.2016.06.045]
   Almeida A.W.B., 2010, Cadernos de debates Nova Cartografia Social: Territorios Quilombolas e Conflitos, P317
   [Anonymous], 1992, RIO DECLARATION ENV
   Bahadur AV, 2013, CLIM DEV, V5, P55, DOI 10.1080/17565529.2012.762334
   Bardin L., 2010, An6lise de conteudo, V5th ed.
   Belfer E, 2019, GLOBAL ENVIRON POLIT, V19, P12, DOI 10.1162/glep_a_00489
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Beunen R, 2013, ENVIRON PLANN A, V45, P1285, DOI 10.1068/a45284
   Bonilla-Moheno M, 2012, SUSTAINABILITY-BASEL, V4, P2317, DOI 10.3390/su4092317
   Boyd D. R., 2020, RIGHT HLTH ENV BRAZI
   Boyd David, 2019, REPORT SPECIAL RAPPO
   Brasil Fundacao Cultural Palmares, 2023, Certificacao Quilombola
   Brugnach M, 2017, CLIMATIC CHANGE, V140, P19, DOI 10.1007/s10584-014-1280-3
   Bruneniece I., 2013, Climate Change Management, DOI [10.1007/978-3-642-29831-8, DOI 10.1007/978-3-642-29831-8]
   Bunce A, 2016, NAT HAZARDS, V83, P1419, DOI 10.1007/s11069-016-2398-6
   Carballido M.E.G., 2014, RCJ-Rev. Cult. Jurid, V1, P75
   CDB, 2022, Kunming-Montreal Global Biodiversity Framework
   Correa W.D.S.C., 2022, DERBYANA, V43, pe774, DOI [10.14295/derb.v43.774, DOI 10.14295/derb.v43.774]
   de Medeiros FJ, 2022, WEATHER CLIM EXTREME, V38, DOI 10.1016/j.wace.2022.100511
   Ellis EC, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2023483118
   Ellis NR, 2017, SOC SCI MED, V175, P161, DOI 10.1016/j.socscimed.2017.01.009
   Elo S, 2008, J ADV NURS, V62, P107, DOI 10.1111/j.1365-2648.2007.04569.x
   Espíndola Isabela Battistello, 2020, Cad. Metrop., V22, P365, DOI 10.1590/2236-9996.2020-4802
   Fankhauser S, 2015, GLOBAL ENVIRON CHANG, V35, P52, DOI 10.1016/j.gloenvcha.2015.08.008
   Fernandes R. C., 2006, QUILOMBOS NO BRASIL, V3
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Flores J.H., 2009, A reinvencao dos direitos humanos
   Foppa CC, 2018, DESENVOLV MEIO AMBIE, V48, P343, DOI 10.5380/dma.v48i0.59170
   Ford J, 2016, CLIMATIC CHANGE, V139, P429, DOI 10.1007/s10584-016-1820-0
   Ford JD, 2013, ANN ASSOC AM GEOGR, V103, P1193, DOI 10.1080/00045608.2013.776880
   Franco M.L.P.B., 2012, Analise de Conteudo, V4th ed.
   Garnett ST, 2018, NAT SUSTAIN, V1, P369, DOI 10.1038/s41893-018-0100-6
   Grothmann T, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9060976
   Guillot L., 2022, Politico
   Hanna P, 2013, IMPACT ASSESS PROJ A, V31, P146, DOI 10.1080/14615517.2013.780373
   Harding A, 2012, ENVIRON HEALTH PERSP, V120, P6, DOI 10.1289/ehp.1103904
   Hsieh HF, 2005, QUAL HEALTH RES, V15, P1277, DOI 10.1177/1049732305276687
   Hudson A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12114419
   Hughes Sara., 2018, Climate Change in Cities: Innovations in Multi-Level Governance
   Instituto Brasileiro de Geografia e Estatistica (IBGE), 2022, Censo Demografico 2022-IBGE
   Iocca L., 2020, Caderno de Estudos em Direito Ecologico Insurgente E Pensamento Decolonial, P61
   Iocca L, 2022, CLIM DEV, V14, P537, DOI 10.1080/17565529.2021.1949573
   IPCC, 2022, Climate change 2022: Impacts, adaptation and vulnerability contribution of working group II to the sixth assessment report of the intergovernmental panel on climate change cities, settlements and key infrastructure, DOI [10.1017/9781009325844.008, DOI 10.1017/9781009325844.008]
   Janardhanan N., 2020, Inst. Glob. Environ. Strateg, DOI [10.57405/iges-11068, DOI 10.57405/IGES-11068]
   Jha SK, 2017, J RURAL STUD, V51, P151, DOI 10.1016/j.jrurstud.2017.02.013
   Kaimowitz D, 2007, BIOTROPICA, V39, P567, DOI 10.1111/j.1744-7429.2007.00332.x
   Krippendorff K., 2018, CONTENT ANAL INTRO I
   LITTLE PaulE., 2004, Anuario Antropologico 2002-2003, P251
   Lof A, 2013, CLIM DEV, V5, P328, DOI 10.1080/17565529.2013.831338
   Lynch AH, 2014, REG ENVIRON CHANGE, V14, P1601, DOI 10.1007/s10113-014-0602-3
   Makondo CC, 2018, ENVIRON SCI POLICY, V88, P83, DOI 10.1016/j.envsci.2018.06.014
   Mantyka-Pringle CS, 2017, ENVIRON INT, V102, P125, DOI 10.1016/j.envint.2017.02.008
   Mashizha TM, 2019, JAMBA-J DISASTER RIS, V11, DOI 10.4102/jamba.v11i1.571
   McDonald J, 2021, WIRES CLIM CHANGE, V12, DOI 10.1002/wcc.726
   MINAYO M.C. S., 2011, Pesquisa social: Teoria, metodo e criatividade, V30
   MMA/ICMBio, 2012, Diagnostico e Plano de Acao Para a Gestao dos Conflitos Territoriais, P1
   MMA/ICMBio, 2019, Plano de Manejo dos Parques Nacionais de Aparados Da Serra e Da Serra Geral
   Nations U., 2015, Framework Convention on Climate Change (2015) Adoption of the Paris Agreement, 21st Conference of the Parties
   Pandey R, 2018, ECOL INDIC, V84, P27, DOI 10.1016/j.ecolind.2017.08.021
   Petheram L, 2010, GLOBAL ENVIRON CHANG, V20, P681, DOI 10.1016/j.gloenvcha.2010.05.002
   Poets D, 2021, SETTL COLON STUD, V11, P271, DOI 10.1080/2201473X.2020.1823750
   Race D, 2016, CLIMATIC CHANGE, V139, P461, DOI 10.1007/s10584-016-1800-4
   Savaresi A, 2018, J HUM RIGHTS ENVIRON, V9, P32, DOI 10.4337/jhre.2018.01.02
   Scoville-Simonds M, 2020, WORLD DEV, V125, DOI 10.1016/j.worlddev.2019.104683
   Shea MM, 2019, GLOBAL ENVIRON CHANG, V58, DOI 10.1016/j.gloenvcha.2019.101973
   Sherman M, 2015, NAT HAZARDS, V77, P2049, DOI 10.1007/s11069-015-1690-1
   Spaolonse M.B., 2013, Ruris, V7, P24, DOI [10.53000/rr.v7i2.1883, DOI 10.53000/RR.V7I2.1883]
   Stefanelli RD, 2017, ENVIRON REV, V25, P323, DOI 10.1139/er-2016-0114
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Tavares A., 2013, Riscos naturais, P63
   Torres-Slimming PA, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12083422
   UNEP, 2019, UN Environment Programme
   UNHRC, 2021, P RES AD HUM RIGHTS
   United Nations Environment Programme, 1972, Stockholm Declaration: Declaration on the Human Environment, Adopted by the United Nations Conference on the Human Environment, Stockholm, 16 June 1972
   Vanclay F, 2013, IMPACT ASSESS PROJ A, V31, P243, DOI 10.1080/14615517.2013.850307
   Veland S, 2013, GLOBAL ENVIRON CHANG, V23, P314, DOI 10.1016/j.gloenvcha.2012.10.009
   Walker WS, 2020, P NATL ACAD SCI USA, V117, P3015, DOI 10.1073/pnas.1913321117
   Williams T, 2013, CLIMATIC CHANGE, V120, P531, DOI 10.1007/s10584-013-0850-0
NR 78
TC 0
Z9 0
U1 8
U2 12
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD SEP
PY 2023
VL 12
IS 9
AR 1647
DI 10.3390/land12091647
PG 20
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA T5NN3
UT WOS:001078454000001
OA gold
DA 2025-01-10
ER

PT J
AU Sreenivasan, A
   Ma, SR
   Nedungadi, P
   Sreedharan, VR
   Raman, RR
AF Sreenivasan, Aswathy
   Ma, Suresh
   Nedungadi, Prema
   Sreedharan, V. Raja
   Raman, R. Raghu
TI Interpretive Structural Modeling: Research Trends, Linkages to
   Sustainable Development Goals, and Impact of COVID-19
SO SUSTAINABILITY
LA English
DT Article
DE interpretive structural modeling; SDG; COVID-19; bibliometrics; citation
   analysis; science mapping
ID CRITICAL SUCCESS FACTORS; SUPPLY CHAIN MANAGEMENT; ISM; BARRIERS;
   IMPLEMENTATION; SYSTEM; GREEN; INDUSTRY; CITATION; CONTEXT
AB Interpretive structural modeling (ISM) is widely used to understand the complex connections between different components. This study presents a bibliometric overview of ISM research, with a focus on its linkages to the Sustainable Development Goals (SDGs) and the impact of COVID-19. The study analyzed 1988 publications on ISM published between 2012 and 2021, of which 1202 were directly mapped to the SDGs and 59 were related to COVID-19. The study identified key authors, institutions, countries, and journals involved in the research and their linkages to the SDGs. The results showed that ISM research is strongly linked to SDG 12 (on responsible consumption and production) and SDG 9 (on industry, innovation, and infrastructure). We also identified influential SDGs on the basis of centrality measures such as betweenness and eigenvector. The top four countries contributing to ISM publications were India, China, the United Kingdom, and the United States. The most frequently cited journals were Benchmarking: An International Journal, Sustainability, the Journal of Modelling in Management, and the Journal of Cleaner Production. Four main clusters were identified in the ISM research, including (1) integration with AHP and fuzzy logic for promoting sustainability alignment, (2) ISM-based strategy development for various stakeholders, (3) ISM-based decision-making in various fields, and (4) ISM-based risk evaluation. For the first time, studies that used the ISM approach to understand the epidemiological characteristics of COVID-19 were identified, and their key findings were discussed. The study also identified several emerging topics for future ISM research, such as blockchain and IoT, environmental management systems, climate change adaptation, smart cities, and humanitarian logistics and their potential linkages to the SDGs.
C1 [Sreenivasan, Aswathy; Ma, Suresh] Amrita Vishwa Vidyapeetham, Amrita Sch Business, Coimbatore 641112, India.
   [Nedungadi, Prema] Amrita Vishwa Vidyapeetham, Amrita Sch Comp, Amritapuri 690525, Kollam, India.
   [Sreedharan, V. Raja] Cardiff Metropolitan Univ, Cardiff Sch Management, Cardiff CF5 2YB, Wales.
   [Raman, R. Raghu] Amrita Vishwa Vidyapeetham, Amrita Sch Business, Amritapuri 690525, Kollam, India.
   [Raman, R. Raghu] Amrita Vishwa Vidyapeetham, Amrita Sch Comp, Amaravati 522503, India.
C3 Amrita Vishwa Vidyapeetham; Amrita Vishwa Vidyapeetham Coimbatore;
   Amrita Vishwa Vidyapeetham; Amrita Vishwa Vidyapeetham Amritapuri;
   Cardiff Metropolitan University; Amrita Vishwa Vidyapeetham; Amrita
   Vishwa Vidyapeetham Amritapuri; Amrita Vishwa Vidyapeetham
RP Raman, RR (corresponding author), Amrita Vishwa Vidyapeetham, Amrita Sch Business, Amritapuri 690525, Kollam, India.; Raman, RR (corresponding author), Amrita Vishwa Vidyapeetham, Amrita Sch Comp, Amaravati 522503, India.
EM raghu@amrita.edu
RI Raman, Raghu/AAL-9550-2020; REHMAN, ATEEKH UR/AAF-7286-2019; Sreedharan,
   Raja/A-9421-2018; Sreenivasan, Aswathy/AHI-7754-2022
OI M, Suresh/0000-0002-3796-3623; Nedungadi, Prema/0000-0001-8774-3541;
   Raman, Prof Raghu/0000-0002-0851-9742; Sreenivasan,
   Aswathy/0000-0001-5874-6444
CR Abbas H, 2022, SOC RESPONSIB J, V18, P1463, DOI 10.1108/SRJ-12-2020-0485
   Achuthan K, 2023, COMPUT HUM BEHAV, V140, DOI 10.1016/j.chb.2022.107566
   Agrawal Rohit, 2021, Journal of the Institution of Engineers (India): Series B (Electrical, Electronics & Telecommunication and Computer Engineering), P1143, DOI 10.1007/s40031-020-00528-8
   Attri R., 2013, RES J MANAGEMENT SCI, V2, P3
   Badhotiya GK, 2022, OPER MANAGE RES, V15, P1161, DOI 10.1007/s12063-021-00236-6
   Belussi F, 2019, SCAND J MANAG, V35, DOI 10.1016/j.scaman.2019.101048
   Boyack KW, 2010, J AM SOC INF SCI TEC, V61, P2389, DOI 10.1002/asi.21419
   Broome BJ, 2019, NEGOT CONFL MANAG R, V12, P234, DOI 10.1111/ncmr.12158
   Choudhary K, 2022, BENCHMARKING, V29, P1393, DOI 10.1108/BIJ-05-2021-0242
   Crupi A, 2021, J KNOWL MANAG, V25, P1263, DOI 10.1108/JKM-06-2020-0419
   Dhir S, 2020, INT J SYST ASSUR ENG, V11, P175, DOI 10.1007/s13198-019-00937-z
   Diabat A, 2014, J CLEAN PROD, V83, P391, DOI 10.1016/j.jclepro.2014.06.081
   Diabat A, 2012, INT J PROD RES, V50, P3039, DOI 10.1080/00207543.2011.588619
   Fahimnia B, 2015, INT J PROD ECON, V162, P101, DOI 10.1016/j.ijpe.2015.01.003
   Ghobakhloo M, 2020, J CLEAN PROD, V252, DOI 10.1016/j.jclepro.2019.119869
   Govindan K, 2015, INT J ENVIRON SCI TE, V12, P15, DOI 10.1007/s13762-013-0409-7
   Govindan K, 2012, INT J PROD ECON, V140, P204, DOI 10.1016/j.ijpe.2012.01.043
   Guan L, 2020, J CLEAN PROD, V256, DOI 10.1016/j.jclepro.2020.120372
   Guleria D, 2021, LIBR HI TECH, V39, P1001, DOI 10.1108/LHT-09-2020-0218
   Haleem A, 2012, PROD PLAN CONTROL, V23, P722, DOI 10.1080/09537287.2011.642134
   Harikumar P, 2018, IOP CONF SER-MAT SCI, V390, DOI 10.1088/1757-899X/390/1/012050
   Harju C, 2022, INT J CONSUM STUD, V46, P29, DOI 10.1111/ijcs.12764
   Janes F. R., 1988, Transactions of the Institute of Measurement and Control, V10, P145, DOI 10.1177/014233128801000306
   Jiang MN, 2021, KYBERNETES, V50, P1426, DOI 10.1108/K-03-2020-0148
   Kamble SS, 2020, INT J INFORM MANAGE, V52, DOI 10.1016/j.ijinfomgt.2019.05.023
   Kamble SS, 2018, COMPUT IND, V101, P107, DOI 10.1016/j.compind.2018.06.004
   Kannan G., 2008, International Journal of Management and Decision Making, V9, P163, DOI 10.1504/IJMDM.2008.017198
   Kannan G, 2009, RESOUR CONSERV RECY, V54, P28, DOI 10.1016/j.resconrec.2009.06.004
   Kanungo S, 2002, SYST RES BEHAV SCI, V19, P531, DOI 10.1002/sres.476
   Karmaker CL, 2021, SUSTAIN PROD CONSUMP, V26, P411, DOI 10.1016/j.spc.2020.09.019
   Kumar M, 2022, OPER MANAGE RES, V15, P1198, DOI 10.1007/s12063-022-00272-w
   Kumar R, 2022, ARCH COMPUT METHOD E, V29, P2781, DOI 10.1007/s11831-021-09675-7
   Kumar S, 2016, PROD PLAN CONTROL, V27, P604, DOI 10.1080/09537287.2016.1165307
   Kumar S, 2022, TECHNOL FORECAST SOC, V175, DOI 10.1016/j.techfore.2021.121393
   Kuzior A, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14138206
   Lin DP, 2018, IND MANAGE DATA SYST, V118, P589, DOI 10.1108/IMDS-09-2017-0403
   Liza SA, 2023, INT J EMERG MARK, V18, P6037, DOI 10.1108/IJOEM-11-2021-1680
   Luthra S, 2014, RENEW SUST ENERG REV, V33, P554, DOI 10.1016/j.rser.2014.02.030
   Matei S, 2011, INT J HUM-COMPUT INT, V27, P405, DOI 10.1080/10447318.2011.544971
   Mathiyazhagan K, 2013, J CLEAN PROD, V47, P283, DOI 10.1016/j.jclepro.2012.10.042
   Menon S, 2021, BENCHMARKING, V28, P307, DOI 10.1108/BIJ-04-2020-0151
   Moktadir MA, 2020, INT J MANPOWER, V41, P1135, DOI 10.1108/IJM-07-2019-0354
   Narula S, 2021, J CLEAN PROD, V305, DOI 10.1016/j.jclepro.2021.127141
   Oladinrin OT, 2023, CONSTR INNOV-ENGL, V23, P505, DOI 10.1108/CI-07-2021-0130
   Paul J, 2021, INT J CONSUM STUD, DOI 10.1111/ijcs.12695
   Petrudi SHH, 2020, INT J DISAST RISK RE, V42, DOI 10.1016/j.ijdrr.2019.101340
   Pilevari N, 2021, IRAN J PUBLIC HEALTH, V50, P806, DOI 10.18502/ijph.v50i4.6007
   Poduval A, 2022, OPER MANAGE RES, V15, P1315, DOI 10.1007/s12063-021-00209-9
   Prasad S, 2018, J ADV MANAG RES, V15, P434, DOI 10.1108/JAMR-03-2018-0027
   Priyadarsini S Lakshmi, 2020, Glob Transit, V2, P202, DOI 10.1016/j.glt.2020.09.003
   Priyadarsini SL, 2020, INT J HEALTHCARE MAN, V13, P89, DOI 10.1080/20479700.2020.1755804
   Rafiq M, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13063420
   Ragan R, 2021, BENCHMARKING, V28, P1959, DOI 10.1108/BIJ-01-2020-0019
   Raman R, 2022, ENERGY REP, V8, P9242, DOI 10.1016/j.egyr.2022.07.058
   Raman R, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14159160
   Ramos E, 2021, BENCHMARKING, V28, P1083, DOI 10.1108/BIJ-02-2020-0079
   Raut RD, 2020, INT J MANPOWER, V41, P925, DOI 10.1108/IJM-09-2019-0435
   Raut RD, 2017, RENEW SUST ENERG REV, V68, P33, DOI 10.1016/j.rser.2016.09.067
   Saha R, 2021, DIAGNOSTICS, V11, DOI 10.3390/diagnostics11091604
   Saka AB, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12093710
   SciVal, 2022, TOP PROM SCI FAQS SC
   Shakeri H, 2020, HELIYON, V6, DOI 10.1016/j.heliyon.2020.e04430
   Shankar R., 2003, J ADV MANAG RES, V1, P28, DOI [10.1108/97279810380000356, DOI 10.1108/97279810380000356]
   Sharma SK, 2021, GOV INFORM Q, V38, DOI 10.1016/j.giq.2021.101573
   Sindhu S, 2016, RENEW SUST ENERG REV, V62, P70, DOI 10.1016/j.rser.2016.04.033
   Singh NK, 2022, BUS MANAG ECON ENG, V20, P258, DOI 10.3846/bmee.2022.16905
   Soni U, 2014, COMPUT IND ENG, V74, P11, DOI 10.1016/j.cie.2014.04.019
   Sreenivasan A., 2022, Int J Ind Eng Operat Manag, V4, P1, DOI DOI 10.1108/IJIEOM-10-2022-0046
   Sreenivasan A, 2023, BENCHMARKING, V30, P2085, DOI 10.1108/BIJ-09-2021-0530
   Sushil, 2018, INT J INFORM MANAGE, V43, P38, DOI 10.1016/j.ijinfomgt.2018.06.003
   Tamtam F, 2021, IFAC PAPERSONLINE, V54, P12, DOI 10.1016/j.ifacol.2021.11.019
   Tan T, 2019, J CLEAN PROD, V219, P949, DOI 10.1016/j.jclepro.2019.02.141
   Tang J, 2023, EXPERT SYST APPL, V213, DOI 10.1016/j.eswa.2022.118885
   Tavoosi J, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13063301
   Thakur P, 2022, INT J CONSUM STUD, V46, P1665, DOI 10.1111/ijcs.12823
   Thomas A, 2022, CLEAN ENG TECHNOL, V7, DOI 10.1016/j.clet.2022.100440
   Thomas T, 2017, INT J BUS PERFORM MA, V18, P403, DOI 10.1504/IJBPM.2017.087106
   Thukral S, 2023, BENCHMARKING, V30, P1021, DOI 10.1108/BIJ-12-2021-0774
   Vaishnavi V, 2019, BENCHMARKING, V26, P2372, DOI 10.1108/BIJ-06-2018-0172
   van Eck NJ, 2017, SCIENTOMETRICS, V111, P1053, DOI 10.1007/s11192-017-2300-7
   Visser M, 2021, QUANT SCI STUD, V2, P20, DOI [10.1162/qes_a_00112, 10.1162/qss_a_00112]
   Wang JX, 2021, TECHNOL ANAL STRATEG, V33, P1347, DOI 10.1080/09537325.2021.1963429
   Xu WP, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18010088
   Yadav DK., 2016, GLOB J FLEX SYST MAN, V17, P321, DOI DOI 10.1007/S40171-016-0134-4
   Yadav G, 2019, SUSTAIN CITIES SOC, V47, DOI 10.1016/j.scs.2019.101462
   Yadav S, 2021, J ENTERP INF MANAG, V34, P54, DOI 10.1108/JEIM-09-2019-0301
   Yang F, 2017, MANAG RES REV, V40, P1316, DOI 10.1108/MRR-08-2016-0196
   Yenradee P, 2000, INT J PROD RES, V38, P2689, DOI 10.1080/002075400411439
NR 88
TC 10
Z9 10
U1 4
U2 32
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAR
PY 2023
VL 15
IS 5
AR 4195
DI 10.3390/su15054195
PG 27
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 9T6ST
UT WOS:000947156100001
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Muenratch, P
   Nguyen, TPL
AF Muenratch, Preeyaporn
   Nguyen, Thi Phuoc Lai
TI Determinants of water use saving behaviour toward sustainable
   groundwater management
SO GROUNDWATER FOR SUSTAINABLE DEVELOPMENT
LA English
DT Article
DE Groundwater management; Groundwater policy; Sustainable groundwater use;
   Theory of planned behaviour; Water saving behaviour
ID CONTEXT
AB Promoting GW saving behaviour is one of the strategies to support sustainable groundwater use and management and climate change adaptation. However, few studies paid attention to GW saving behaviours. To address this, we surveyed GW users (N = 338) to investigate factors influencing current GW saving attitudes and how GW saving behaviour is shaped in the community through the theory of planned behaviour (TPB). Participants were asked about the perception of their GW saving and water saving intentional behaviour. The probit regression use deployed explore factors influencing water users' perception of GW saving. Structural Equation Model (SEM) was also used to construct the TPB variables to investigate psychological factors influencing GW saving intention behaviour. The findings show water users in the agricultural sector (8 =-0.98, p = 0.01) are negative with GW saving bahavior. Changing to the users in the agricultural sector, the self-perception of GW saving tends to decrease in z-score by 0.98 at a statistical significance level. Awareness of GW extraction impacts (8 = 0.89, p = 0.002), GW adequate knowledge and information (8 = 1.16, p = 0.015) and GW tariff (8 = 0.78, p = 0.02) have strongly influenced GW saving behaviour. The GW saving intentional behaviour has been influenced by sub-jective norms (8 = 0.52, p < 0.001) and perceived behavioral control (8 = 0.21, p < 0.001). Our findings suggest that GW policy options should pay attention to GW tariff application, awareness raising about GW impacts, GW knowledge dissemination to control GW abstraction in the community and enhance GW water saving attitude and behaviour in the community. The study also appeals to the engagement of local community in water governance to increase the social pressures on water-saving changing behaviors.
C1 [Muenratch, Preeyaporn; Nguyen, Thi Phuoc Lai] Asian Inst Technol, Sch Environm Resources & Dev, Dept Dev & Sustainabil, Pathum Thani, Thailand.
C3 Asian Institute of Technology
RP Nguyen, TPL (corresponding author), Asian Inst Technol, Sch Environm Resources & Dev, Dept Dev & Sustainabil, Pathum Thani, Thailand.
EM phuoclai@ait.asia
OI Nguyen, Thi Phuoc Lai/0000-0003-2827-5762; Muenratch,
   Preeyaporn/0000-0001-5781-6041
FU Royal Thai Government (RTG) scholarship; Stockholm Environment Institute
   (SEI) under the SUMERNET 4 All - Swedish International Development
   Cooperation Agency (SIDA); Department of Groundwater Resources and Land
   Development Department in Thailand
FX This research was funded by the Royal Thai Government (RTG) scholarship
   and carried out within the project "Strengthening Ground-water
   Governance in Rapidly Urbanizing Areas of the Lower Mekong Region
   (GIRA)" funded by Stockholm Environment Institute (SEI) under the
   SUMERNET 4 All funded by the Swedish International Development
   Cooperation Agency (SIDA). The authors acknowledge the support from the
   Department of Groundwater Resources and Land Development Department in
   Thailand.
CR Abadi B., 2017, Azarian Journal of Agriculture, V4, P110
   AJZEN I, 1991, ORGAN BEHAV HUM DEC, V50, P179, DOI 10.1016/0749-5978(91)90020-T
   Ajzen I, 2020, HUM BEHAV EMERG TECH, V2, P314, DOI 10.1002/hbe2.195
   Allan C, 2013, ITAL J AGRON, V8, P108, DOI 10.4081/ija.2013.e15
   Espejo JMA, 2021, J ENVIRON MANAGE, V293, DOI 10.1016/j.jenvman.2021.112818
   Bagheri A, 2022, AGR WATER MANAGE, V259, DOI 10.1016/j.agwat.2021.107244
   Baldwin C, 2012, J HYDROL, V474, P74, DOI 10.1016/j.jhydrol.2012.06.006
   Bhangaonkar R, 2022, INT J WATER RESOUR D, V38, P861, DOI 10.1080/07900627.2021.1921710
   Bhattacharya A, 2022, GROUNDWATER SUST DEV, V18, DOI 10.1016/j.gsd.2022.100766
   Botetzagias I, 2015, RESOUR CONSERV RECY, V95, P58, DOI 10.1016/j.resconrec.2014.12.004
   Cary J. W., 2008, Water Science and Technology: Water Supply, V8, P325, DOI 10.2166/ws.2008.078
   de Chaisemartin M, 2017, GLOB ISS WATER POL, V6, P205, DOI 10.1007/978-3-319-43350-9_11
   Dean AJ, 2021, RESOUR CONSERV RECY, V169, DOI 10.1016/j.resconrec.2021.105531
   DGR, 2021, DGR ANN REP 2021
   DGR, 2017, Report
   Fang WT, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9101696
   Fielding KS, 2012, WATER RESOUR RES, V48, DOI 10.1029/2012WR012398
   Gibson KE, 2021, WATER-SUI, V13, DOI 10.3390/w13182581
   Koop SHA, 2019, J ENVIRON MANAGE, V247, P867, DOI 10.1016/j.jenvman.2019.06.126
   Liangsatjatham V, 2019, THAMMASAT BUSINESS L, V9, P108
   Liao XW, 2022, REG SUSTAIN, V3, P41, DOI 10.1016/j.regsus.2022.03.005
   Liu LY, 2022, ENVIRON SCI POLICY, V137, P61, DOI 10.1016/j.envsci.2022.08.013
   Mondéjar-Jiménez JA, 2011, INT J ENVIRON RES, V5, P1, DOI 10.3923/erj.2011.1.5
   Muenratch P, 2022, WATER-SUI, V14, DOI 10.3390/w14193043
   Muenratch P, 2022, GROUNDWATER SUST DEV, V18, DOI 10.1016/j.gsd.2022.100791
   Nocella G, 2022, GROUNDWATER SUST DEV, V19, DOI 10.1016/j.gsd.2022.100809
   Nugroho P., 2022, INDONESIA J SYLVA LE, V10, P12
   Obuobi B, 2022, J RETAIL CONSUM SERV, V67, DOI 10.1016/j.jretconser.2022.102971
   Piyapong J, 2019, GROUNDWATER SUST DEV, V9, DOI 10.1016/j.gsd.2019.100252
   Rios PCS, 2018, WATER-SUI, V10, DOI 10.3390/w10091173
   Sadeghfam S, 2021, WATER RES, V197, DOI 10.1016/j.watres.2021.117096
   Si HY, 2022, J ENVIRON MANAGE, V311, DOI 10.1016/j.jenvman.2022.114848
   Su HZ, 2021, J ENVIRON MANAGE, V292, DOI 10.1016/j.jenvman.2021.112683
   Tama RAZ, 2021, J ENVIRON MANAGE, V280, DOI 10.1016/j.jenvman.2020.111654
   Tatar M, 2022, WATER POLICY, V24, P589, DOI 10.2166/wp.2022.253
   Thakur R., 2022, INT J RES BUSINESS S, V11, P2147
   UNESCO, 2022, UN WORLD WAT DEV REP
   Upadhyaya A, 2022, WATER POLICY, V24, P963, DOI 10.2166/wp.2022.004
   Villholth K, 2006, HYDROGEOL J, V14, P330, DOI 10.1007/s10040-005-0476-z
   Wang YR, 2019, WATER POLICY, V21, P742, DOI 10.2166/wp.2019.204
   Wang YH, 2019, WATER POLICY, V21, P964, DOI 10.2166/wp.2019.173
   Zhang GX, 2019, WATER POLICY, V21, P1193, DOI 10.2166/wp.2019.223
   Zhang SJ, 2021, WATER POLICY, V23, P1468, DOI 10.2166/wp.2021.121
   Zuthi MFR, 2022, GROUNDWATER SUST DEV, V19, DOI 10.1016/j.gsd.2022.100848
NR 44
TC 7
Z9 7
U1 5
U2 21
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2352-801X
J9 GROUNDWATER SUST DEV
JI Groundwater Sustain. Dev.
PD FEB
PY 2023
VL 20
AR 100898
DI 10.1016/j.gsd.2022.100898
EA DEC 2022
PG 7
WC Engineering, Environmental; Environmental Sciences; Water Resources
WE Emerging Sources Citation Index (ESCI)
SC Engineering; Environmental Sciences & Ecology; Water Resources
GA 8A0WW
UT WOS:000915969700001
OA Bronze
DA 2025-01-10
ER

PT J
AU Sovacool, BK
   Daniels, C
   AbdulRafiu, A
AF Sovacool, Benjamin K.
   Daniels, Chux
   AbdulRafiu, Abbas
TI Science for whom? Examining the data quality, themes, and trends in 30
   years of public funding for global climate change and energy research
SO ENERGY RESEARCH & SOCIAL SCIENCE
LA English
DT Article
DE Public research and development (R&D) dynamics; Funding patterns;
   Science policy; Climate policy; Energy policy; Negative emissions;
   Carbon dioxide removal; Industrial decarbonization
ID CHANGE RESEARCH-PROGRAM; SOCIAL-SCIENCE; POLICY HISTORY; IMPACT;
   INNOVATION; JOURNALS; STORAGE
AB Public spending for research and development is undoubtedly one of the most powerful tools for government policy in the areas of climate change and energy systems and technology innovation. However, existing datasets are currently fragmented, incomplete, and partial in their coverage. This study presents results from a more comprehensive, granular, and descriptive attempt to compile a dataset of global funding patterns on energy and climate research. To do so, it identified 114,201 potential projects funded by 154 research councils across 17 countries and the European Commission from 1990 to 2020 (with projected funding up until 2026). A smaller sample of 1000 illustrative projects were examined in greater detail. It finds that there are difficulties with accessible and available public data, including an inaccuracy of data on published websites or inadequate tracking and updating of project details. Research on energy and climate change is supported by a surprisingly broad base of inquiry, including research from the social sciences and economics but also the arts and humanities, engineering and technology, life sciences and medicine, and natural and physical sciences. Climate change adaptation research is the most funded general area, followed by climate mitigation via energy systems, transportation and mobility, geo/climate engineering, and industrial decarbonization. Funding has been allocated unevenly in favor of some specific technologies, e.g. resilience and adaption, energy efficiency, and electric vehicles. Publicly funded research benefits a very particular set of disciplines, e.g. communication studies, economics, computer science, and chemical engineering. Moreover, the funded projects reveal a striking diversity of methods, including literature reviews, surveys and original data collection, the development of intellectual property, case studies, qualitative research and energy modeling.
C1 [Sovacool, Benjamin K.; Daniels, Chux; AbdulRafiu, Abbas] Univ Sussex Business Sch, Sci Policy Res Unit, Falmer, England.
RP Sovacool, BK (corresponding author), Univ Sussex Business Sch, Sci Policy Res Unit, Falmer, England.
EM benjaminso@hih.au.dk
RI Sovacool, Benjamin/Y-2392-2019
OI Daniels, Chux/0000-0002-5179-4176; Abbas, AbdulRafiu/0000-0003-2682-0616
FU Industrial Decarbonisation Research and Innovation Centre (IDRIC) in the
   United Kingdom - UKRI; EPSRC [EP/V027050/1]; Petroleum Technology
   Development Fund (PTDF), Nigeria [POSS7924897311]
FX The authors thank and acknowledge support for this paper from the
   Industrial Decarbonisation Research and Innovation Centre (IDRIC) in the
   United Kingdom, funded by the UKRI and EPSRC via Grant Number
   EP/V027050/1 and the Petroleum Technology Development Fund (PTDF),
   Nigeria via award POSS7924897311. One of the authors of this paper
   (Sovacool) is the Editor-in-Chief for Energy Research & Social Science.
   He was not involved in managing the peer review or editorial process for
   this article.
CR ALFORD RR, 1995, CONTEMP SOCIOL, V24, P424, DOI 10.2307/2076556
   [Anonymous], 1963, Experimental and quasi experimental designs for research
   [Anonymous], AM J MED SCI, DOI [DOI 10.1007/s11270-007-9372-6, DOI 10.1016/J.AMJMS.2021.03.001,00089-6]
   [Anonymous], 2008, SAGE HDB SOCIAL RES
   Ardani Kristen., 2013, Non-hardware (soft) cost-reduction roadmap for residential and small commercial solar photovoltaics, 2013-2020
   Bandivadekar A., 2008, ROAD 2035 REDUCING T
   Bavaresco MV, 2020, ENERG BUILDINGS, V209, DOI 10.1016/j.enbuild.2019.109702
   Bloom H., 2008, The SAGE Handbook of Social Research Methods
   Bosch G, 2018, NATURE, V554, P277, DOI 10.1038/d41586-018-01853-1
   Brown MA., 2011, Climate Change and Global Energy Security: Technology and Policy Options
   Brown M, 2015, WIRES ENERGY ENVIRON, V4, P1, DOI 10.1002/wene.125
   Bui M, 2018, ENERG ENVIRON SCI, V11, P1062, DOI [10.1039/C7EE02342A, 10.1039/c7ee02342a]
   Butler-Sloss Sam, 2021, EC JOURNALS ENGAGEME
   Caldeira K, 2013, ANNU REV EARTH PL SC, V41, P231, DOI 10.1146/annurev-earth-042711-105548
   Callaghan MW, 2020, NAT CLIM CHANGE, V10, P118, DOI 10.1038/s41558-019-0684-5
   Castree N, 2014, NAT CLIM CHANGE, V4, P763, DOI 10.1038/NCLIMATE2339
   Childs Britt, 2007, PLANTS PUMP BIOFUEL
   Cleveland C. J., 2013, HDB ENERGY
   Committee on Geoengineering Climate Technical Evaluation and Discussion of Impacts National Research Council, 2015, CLIM INT REFL SUNL C
   Cooper ACG, 2017, ENERGY RES SOC SCI, V26, P80, DOI 10.1016/j.erss.2017.01.013
   Cortez N., 2019, Chicago-Kent Law Review, V94, P315
   de Menezes A., 2019, UK RES SOCIAL SCI CL
   De Pryck K, 2017, LAW CRIT, V28, P119, DOI 10.1007/s10978-017-9207-6
   Després J, 2017, ENERG ECON, V64, P638, DOI 10.1016/j.eneco.2016.03.006
   Diaz-Rainey I, 2017, CLIMATIC CHANGE, V143, P243, DOI 10.1007/s10584-017-1985-1
   Dillman D. A., 2014, Internet, phone, mail, and mixed mode surveys: The tailored design method, V4th ed
   Flyvbjerg B, 2006, QUAL INQ, V12, P219, DOI 10.1177/1077800405284363
   Flyvbjerg B., 2001, MAKING SOCIAL SCI MA
   Fuss S, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabf9f
   Galvin R, 2019, INEQUALITY ENERGY EX, DOI [10.1016/B978-0-12-817674-0.00002-3, DOI 10.1016/B978-0-12-817674-0.00002-3]
   GARNAUT R, 1992, ECONOMIC REFORM AND INTERNATIONALISATION: CHINA AND THE PACIFIC REGION, P1
   Godin B, 2006, SCI TECHNOL HUM VAL, V31, P639, DOI 10.1177/0162243906291865
   Goodall AH, 2008, J MANAGE INQUIRY, V17, P408, DOI 10.1177/1056492607311930
   Goodstein E, 2019, ENERGY RES SOC SCI, V56, DOI 10.1016/j.erss.2019.05.007
   Gould J, 2022, FRONT ECOL EVOL, V10, DOI 10.3389/fevo.2022.889236
   Green JF, 2017, PS-POLIT SCI POLIT, V50, P473, DOI 10.1017/S1049096516003024
   Greenhalgh T, 2005, SOC SCI MED, V61, P417, DOI 10.1016/j.socscimed.2004.12.001
   Hanck B., 2009, Intelligent research design: A guide for beginning researchers in the social sciences
   IEA-International Energy Agency, 2021, World Energy Outlook
   International Energy Agency, 2019, INN GAPS
   International Energy Agency, 2020, Tracking Industry 2020
   Jacob BA, 2011, J PUBLIC ECON, V95, P1168, DOI 10.1016/j.jpubeco.2011.05.005
   Jacob BA, 2011, RES POLICY, V40, P864, DOI 10.1016/j.respol.2011.04.003
   Johnson F.X., 2010, FOOD VERSUS FUEL INF, P164
   Karl T. R., 2009, Global climate change impacts in the United States
   Larsen MT, 2011, RES POLICY, V40, P6, DOI 10.1016/j.respol.2010.09.013
   Linquiti P.D, 2015, PUBLIC SECTOR R D EN, DOI [10.1057/9781137542090_2, DOI 10.1057/9781137542090_2]
   Mankins J., 1995, White Paper
   Melton N, 2016, NAT ENERGY, V1, DOI 10.1038/NENERGY.2016.13
   Mullan J, 2012, ENERG POLICY, V48, P394, DOI 10.1016/j.enpol.2012.05.042
   O'Sullivan E., 2010, Research methods for public administrators
   Overland I, 2020, ENERGY RES SOC SCI, V62, DOI 10.1016/j.erss.2019.101349
   Pachauri RK, 2014, 2014 IEEE STUDENTS' CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER SCIENCE (SCEECS)
   Parrish B, 2020, ENERG POLICY, V138, DOI 10.1016/j.enpol.2019.111221
   PIELKE RA, 1995, POLICY SCI, V28, P39, DOI 10.1007/BF01000820
   Pielke RA, 2000, GLOBAL ENVIRON CHANG, V10, P9, DOI 10.1016/S0959-3780(00)00006-6
   Pielke RA, 2000, GLOBAL ENVIRON CHANG, V10, P133, DOI 10.1016/S0959-3780(00)00007-8
   Reale E., 2017, ANAL NATL PUBLIC RES, DOI [10.2760/19140, DOI 10.2760/19140]
   Roos M, 2021, CLIMATE EC, DOI [10.1007/978-3-030-48423-1_2, DOI 10.1007/978-3-030-48423-1_2]
   Royston S, 2021, ENERGY RES SOC SCI, V77, DOI 10.1016/j.erss.2021.102084
   Schuitema G, 2017, ENERG POLICY, V101, P246, DOI 10.1016/j.enpol.2016.11.043
   Sengers F, 2019, TECHNOL FORECAST SOC, V145, P153, DOI 10.1016/j.techfore.2016.08.031
   Shunmugam V, 2009, MARGIN, V3, P173, DOI 10.1177/097380100900300204
   Sorrell S, 2007, ENERG POLICY, V35, P1858, DOI 10.1016/j.enpol.2006.06.008
   Sovacool BK, 2021, ENERGY STRATEG REV, V35, DOI 10.1016/j.esr.2021.100656
   Sovacool BK, 2021, RENEW SUST ENERG REV, V143, DOI 10.1016/j.rser.2021.110856
   Sovacool BK, 2021, RENEW SUST ENERG REV, V141, DOI 10.1016/j.rser.2021.110759
   Sovacool BK, 2018, ENERGY RES SOC SCI, V45, P12, DOI 10.1016/j.erss.2018.07.007
   Sovacool BK, 2014, ENERGY RES SOC SCI, V1, P1, DOI 10.1016/j.erss.2014.02.003
   Sovacool BK, 2014, NATURE, V511, P529, DOI 10.1038/511529a
   Sperling D., 2019, Three Revolutions: Steering Automated, Shared, and Electric Vehicles to a Better Future
   Tollefson J, 2018, NATURE, V559, P316, DOI 10.1038/d41586-018-05706-9
   Turner Chris., 2014, WAR SCI MUZZLED SCI
   U.S. Department of Energy (DOE), 2013, REV NOW FUT ARR 4 CL
   Whittemore R, 2005, J ADV NURS, V52, P546, DOI 10.1111/j.1365-2648.2005.03621.x
NR 75
TC 8
Z9 8
U1 2
U2 11
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2214-6296
EI 2214-6326
J9 ENERGY RES SOC SCI
JI Energy Res. Soc. Sci.
PD JUL
PY 2022
VL 89
AR 102645
DI 10.1016/j.erss.2022.102645
EA MAY 2022
PG 20
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 6R2CG
UT WOS:000892114900001
OA Green Accepted, Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Lambert, CE
   Holley, JR
   McComas, KA
   Snider, NP
   Tucker, GK
AF Lambert, Catherine E.
   Holley, Jason R.
   McComas, Katherine A.
   Snider, Natalie P.
   Tucker, Grace K.
TI Eroding Land and Erasing Place: A Qualitative Study of Place Attachment,
   Risk Perception, and Coastal Land Loss in Southern Louisiana
SO SUSTAINABILITY
LA English
DT Article
DE coastal land loss; risk perception; place attachment; risk mitigation;
   community
ID CLIMATE-CHANGE ADAPTATION; FLOOD EXPERIENCE; COMMUNITY; SENSE;
   RESIDENTS; BEHAVIOR; LEVEL; VULNERABILITY; RESILIENCE; FRAMEWORK
AB Southern Louisiana and its coastal bayous are sites of both frequent flooding and rapid coastal land loss, exacerbated by the increasing effects of climate change. Though much work has examined flood risk perceptions in coastal areas, few studies have considered the qualitative and contextual dimensions of perceptions of coastal land loss and its associated impacts, and how these perceptions relate to local culture, place, and intentions to mitigate personal exposure to risk. We conducted six focus groups in areas with distinct exposure to coastal land loss. Participants expressed strong attachment to community, culture, and place. Personal ties to land loss through family or social connections, experiences with fishing and water-based activities, and indirect impacts on Louisiana's seafood industry and cuisine provided a lens for understanding the immediate impacts of coastal land loss. Participants felt that exposure to the risks of land loss was inevitable and that mitigation was beyond individual efforts, a feeling that manifested both as pessimism and as a resilient focus on collective action. Considering state history with political corruption, participants generally distrusted state-level mitigation initiatives. These findings shed light on the qualitative dimensions of coastal land loss perceptions in southern Louisiana and their relation to place attachment, mitigation intentions, and sources of risk information. While participants with personal ties to risk report feelings of exposure and inevitability, they are also embedded in communities with strong ties to place. This nuance only complicates the meanings that individuals associate with land loss and the actions that they are motivated to take; impacts of coastal land loss on the landscape and distinct place characteristics of southern Louisiana may lead to significant disruption to identity and well-being, but also provide a pathway for risk awareness and potential motivation of collective mitigation actions.
C1 [Lambert, Catherine E.; Holley, Jason R.; McComas, Katherine A.] Cornell Univ, Coll Agr & Life Sci, Dept Commun, Ithaca, NY 14853 USA.
   [Snider, Natalie P.; Tucker, Grace K.] Environm Def Fund, Washington, DC 20009 USA.
   [Snider, Natalie P.] Univ Maryland, Ctr Environm Sci, College Pk, MD 20742 USA.
C3 Cornell University; Environmental Defense Fund; University System of
   Maryland; University of Maryland Center for Environmental Science;
   University of Maryland College Park
RP Lambert, CE (corresponding author), Cornell Univ, Coll Agr & Life Sci, Dept Commun, Ithaca, NY 14853 USA.
EM cel247@cornell.edu; jrh374@cornell.edu; kam19@cornell.edu;
   nsnider@edf.org; gtucker@edf.org
RI Snider, Natalie/HNS-5011-2023
OI Lambert, Catherine/0000-0001-7349-9701; Snider, Natalie
   L./0000-0003-3493-1770; Tucker, Grace/0000-0001-7261-0738; Holley,
   Jason/0000-0002-1121-6320
FU Walton Family Foundation
FX This work was facilitated by Environmental Defense Fund and the Restore
   the Mississippi River Delta Coalition and funded and made possible by
   the Walton Family Foundation.
CR Acott TG., 2014, Social Issues in Sustainable Fisheries Management, P257, DOI [DOI 10.1007/978-94-007-7911_14, 10.1007/978-94-007-7911-2, DOI 10.1007/978-94-007-7911-2]
   Alexander KS, 2012, J ENVIRON PLANN MAN, V55, P409, DOI 10.1080/09640568.2011.604193
   Anderson B., 2019, NEW YORK TIMES
   [Anonymous], 2014, J INDIAN ACAD APPL P
   Armas I, 2006, RISK ANAL, V26, P1223, DOI 10.1111/j.1539-6924.2006.00810.x
   Ballantyne AG, 2018, ENVIRON COMMUN, V12, P638, DOI 10.1080/17524032.2017.1412997
   Bergquist M, 2019, FRONT PSYCHOL, V10, DOI 10.3389/fpsyg.2019.00220
   Bessette DL, 2017, RISK ANAL, V37, P1993, DOI 10.1111/risa.12743
   Biesbroek GR, 2013, REG ENVIRON CHANGE, V13, P1119, DOI 10.1007/s10113-013-0421-y
   Billig M, 2006, ENVIRON BEHAV, V38, P248, DOI 10.1177/0013916505277608
   Bird DK, 2011, B VOLCANOL, V73, P1209, DOI 10.1007/s00445-011-0464-1
   Bonaiuto M, 1996, J COMMUNITY APPL SOC, V6, P157, DOI 10.1002/(SICI)1099-1298(199608)6:3<157::AID-CASP367>3.3.CO;2-N
   Bonaiuto M, 2016, J ENVIRON PSYCHOL, V48, P33, DOI 10.1016/j.jenvp.2016.07.007
   Boon HJ, 2014, NAT HAZARDS, V71, P683, DOI 10.1007/s11069-013-0935-0
   Brown B.B., 1992, OPEN ENV SCI, V12, P279, DOI DOI 10.1007/978-1-4684-8753-4_13
   Bubeck P, 2013, GLOBAL ENVIRON CHANG, V23, P1327, DOI 10.1016/j.gloenvcha.2013.05.009
   Bubeck P, 2012, RISK ANAL, V32, P1481, DOI 10.1111/j.1539-6924.2011.01783.x
   Burley D, 2007, ORGAN ENVIRON, V20, P347, DOI 10.1177/1086026607305739
   Butts D, 2020, GLOBAL ENVIRON CHANG, V63, DOI 10.1016/j.gloenvcha.2020.102052
   Casey A, 2019, COAST MANAGE, V47, P169, DOI 10.1080/08920753.2019.1564952
   Chamlee-Wright E, 2009, J URBAN AFF, V31, P615, DOI 10.1111/j.1467-9906.2009.00479.x
   Charmaz K., 2012, The SAGE Handbook of interview research: The complexity of the craft, VSecond, P347, DOI [10.4135/9781452218403.n25, DOI 10.4135/9781452218403.N25]
   Clark T, 2008, SOCIOLOGY, V42, P953, DOI 10.1177/0038038508094573
   Collins TW, 2008, PROF GEOGR, V60, P508, DOI 10.1080/00330120802211737
   Couvillion B.R., 2017, LAND AREA CHANGE COA, DOI [10.3133/sim3381, DOI 10.3133/SIM3381]
   CPRA, 2017, LOUISIANAS COMPREHEN
   Dallago L, 2009, AM J COMMUN PSYCHOL, V44, P148, DOI 10.1007/s10464-009-9250-z
   De Dominicis S, 2015, J ENVIRON PSYCHOL, V43, P66, DOI 10.1016/j.jenvp.2015.05.010
   Dedekorkut-Howes A, 2020, J ENVIRON PLANN MAN, V63, P2102, DOI 10.1080/09640568.2019.1708709
   Donkersloot R, 2015, MARIT STUD, V14, DOI 10.1186/s40152-015-0038-5
   Donovan K, 2012, ENVIRON HAZARDS-UK, V11, P303, DOI 10.1080/17477891.2012.689252
   Galappaththi EK, 2020, CLIMATIC CHANGE, V162, P279, DOI 10.1007/s10584-020-02716-3
   Galappaththi EK, 2019, ENVIRON SCI POLICY, V92, P17, DOI 10.1016/j.envsci.2018.11.005
   Gallina M., 2014, INT J SOCIAL SCI STU, V2, P67, DOI [DOI 10.11114/IJSSS.V2I3.412, DOI 10.11114/ijsss.v2i3.412]
   Gaudet MarciaG., 2003, MARDI GRAS GUMBO ZYD
   Goodall H, 2017, PALG STUD WORLD ENV, P31, DOI 10.1007/978-3-319-63772-3_2
   Gotham KF, 2018, RISK ANAL, V38, P345, DOI 10.1111/risa.12830
   Grothmann T, 2006, NAT HAZARDS, V38, P101, DOI 10.1007/s11069-005-8604-6
   Gutierrez C.P., 2003, MARDI GRAS GUMBO ZYD
   Haney T. J., 2018, J CONTING CRIS MANAG, P1, DOI DOI 10.1111/1468-5973.12253
   Hugel S, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.645
   Hurlimann A, 2014, LANDSCAPE URBAN PLAN, V126, P84, DOI 10.1016/j.landurbplan.2013.12.013
   Jurjonas M, 2018, OCEAN COAST MANAGE, V162, P137, DOI 10.1016/j.ocecoaman.2017.10.010
   Kaltenborn BP, 1998, APPL GEOGR, V18, P169, DOI 10.1016/S0143-6228(98)00002-2
   Khakzad S., 2016, J MAR ISL CULT, V5, P95, DOI DOI 10.1016/J.IMIC.2016.09.002
   Kick EL, 2011, DISASTERS, V35, P510, DOI 10.1111/j.1467-7717.2011.01226.x
   Lang C, 2016, CLIMATIC CHANGE, V135, P625, DOI 10.1007/s10584-015-1590-0
   Lavigne F, 2008, J VOLCANOL GEOTH RES, V172, P273, DOI 10.1016/j.jvolgeores.2007.12.013
   Lesen AE, 2019, SOC SCI-BASEL, V8, DOI 10.3390/socsci8010008
   Lindell MK, 2012, RISK ANAL, V32, P616, DOI 10.1111/j.1539-6924.2011.01647.x
   Lonsdale KG, 2008, CLIMATIC CHANGE, V91, P145, DOI 10.1007/s10584-008-9483-0
   Low SethaM., 1992, PLACE ATTACHMENT, P1, DOI [10.1007/978-1-4684-8753-413, DOI 10.1007/978-1-4684-8753-413, 10.1007/978-1-4684-8753-4_1, DOI 10.1007/978-1-4684-8753-4_1, 10.1007/978-1-4684-8753-4_13]
   Marcu A, 2011, HEALTH PLACE, V17, P843, DOI 10.1016/j.healthplace.2011.03.010
   Marcus C., 1992, PLACE ATTACHMENT, P87, DOI DOI 10.1007/978-1-4684-8753-4_5
   McNamara KE, 2017, LOCAL ENVIRON, V22, P443, DOI 10.1080/13549839.2016.1216954
   Miceli R, 2008, J ENVIRON PSYCHOL, V28, P164, DOI 10.1016/j.jenvp.2007.10.006
   Mishra S, 2010, J ENVIRON PSYCHOL, V30, P187, DOI 10.1016/j.jenvp.2009.11.005
   Morss RE, 2018, INT J DISAST RISK RE, V30, P44, DOI 10.1016/j.ijdrr.2018.01.023
   Nkoana EM, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030796
   O'Sullivan A, 2003, WORLD ARCHAEOL, V35, P449, DOI 10.1080/0043824042000185810
   Osberghaus D, 2017, GLOBAL ENVIRON CHANG, V43, P126, DOI 10.1016/j.gloenvcha.2017.02.003
   Paton D, 2008, AUST J EMERG MANAG, V23, P41
   PLOUGH A, 1987, SCI TECHNOL HUM VAL, V12, P4
   Primo L.H., 1997, J COASTAL RES, P107
   Quinn T, 2019, SUSTAIN SCI, V14, P565, DOI 10.1007/s11625-019-00665-0
   ROGERS RW, 1975, J PSYCHOL, V91, P93, DOI 10.1080/00223980.1975.9915803
   Ruin I., 2007, ENVIRON HAZARDS-UK, V7, P235, DOI [10.1016/j.envhaz.2007.07.005, DOI 10.1016/J.ENVHAZ.2007.07.005]
   Siegrist M, 2006, RISK ANAL, V26, P971, DOI 10.1111/j.1539-6924.2006.00792.x
   Sikder AMK, 2020, J WATER RES PLAN MAN, V146, DOI 10.1061/(ASCE)WR.1943-5452.0001156
   Silver A, 2015, J ENVIRON PSYCHOL, V42, P32, DOI 10.1016/j.jenvp.2015.01.004
   Sinay L, 2020, CLIMATE, V8, DOI 10.3390/cli8010007
   SLOVIC P, 1987, SCIENCE, V236, P280, DOI 10.1126/science.3563507
   Stain HJ, 2011, SOC SCI MED, V73, P1593, DOI 10.1016/j.socscimed.2011.09.016
   Stedman RC, 2002, ENVIRON BEHAV, V34, P561, DOI 10.1177/0013916502034005001
   Thistlethwaite J, 2018, ENVIRON MANAGE, V61, P197, DOI 10.1007/s00267-017-0969-2
   Törnqvist TE, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aaz5512
   Urquhart J, 2014, SOC NATUR RESOUR, V27, P3, DOI 10.1080/08941920.2013.820811
   Wachinger G, 2013, RISK ANAL, V33, P1049, DOI 10.1111/j.1539-6924.2012.01942.x
   Wareham-Fowler S, 2010, POLICY PRACT HEALTH, V8, P43, DOI 10.1080/14774003.2010.11667741
   Willox AC, 2012, SOC SCI MED, V75, P538, DOI 10.1016/j.socscimed.2012.03.043
   Zanocco C, 2019, GLOBAL ENVIRON CHANG, V59, DOI 10.1016/j.gloenvcha.2019.101984
   Zhang YL, 2014, J ENVIRON PSYCHOL, V40, P131, DOI 10.1016/j.jenvp.2014.06.001
NR 82
TC 7
Z9 11
U1 4
U2 21
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JUN
PY 2021
VL 13
IS 11
AR 6269
DI 10.3390/su13116269
PG 16
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA SR0NV
UT WOS:000660743100001
OA gold
DA 2025-01-10
ER

PT J
AU Schoetter, R
   Kwok, YT
   de Munck, C
   Lau, KKL
   Wong, WK
   Masson, V
AF Schoetter, Robert
   Kwok, Yu Ting
   de Munck, Cecile
   Lau, Kevin Ka Lun
   Wong, Wai Kin
   Masson, Valery
TI Multi-layer coupling between SURFEX-TEB-v9.0 and Meso-NH-v5.3 for
   modelling the urban climate of high-rise cities
SO GEOSCIENTIFIC MODEL DEVELOPMENT
LA English
DT Article
ID PEARL RIVER DELTA; LAND-SURFACE PARAMETERS; ENERGY-BALANCE MODEL; PART
   I; CANOPY PARAMETERIZATION; ANTHROPOGENIC HEAT; RADIATIVE-TRANSFER;
   REGIONAL CLIMATE; GLOBAL DATABASE; MESOSCALE MODEL
AB Urban canopy models (UCMs) represent the exchange of momentum, heat, and moisture between cities and the atmosphere. Single-layer UCMs interact with the lowest atmospheric model level and are suited for low- to mid-rise cities, whereas multi-layer UCMs interact with multiple levels and can also be employed for high-rise cities. The present study describes the multi-layer coupling between the Town Energy Balance (FEB) UCM included in the Surface Externalisee (SURFEX) land surface model and the Meso-NH mesoscale atmospheric model. This is a step towards better high-resolution weather prediction for urban areas in the future and studies quantifying the impact of climate change adaptation measures in high-rise cities. The effect of the buildings on the wind is considered using a drag force and a production term in the prognostic equation for turbulent kinetic energy. The heat and moisture fluxes from the walls and the roofs to the atmosphere are released at the model levels intersecting these urban facets. No variety of building height at grid-point scale is considered to remain the consistency between the modification of the Meso-NH equations and the geometric assumptions of FEB. The multi-layer coupling is evaluated for the heterogeneous high-rise, high-density city of Hong Kong. It leads to a strong improvement of model results for near-surface air temperature and relative humidity, which is due to better consideration of the process of horizontal advection in the urban canopy layer. For wind speed, model results are improved on average by the multi-layer coupling but not for all stations. Future developments of the multi-layer SURFEX-TEB will focus on improving the calculation of radiative exchanges, which will allow a variety of building heights at grid-point scale to be taken into account.
C1 [Schoetter, Robert; de Munck, Cecile; Masson, Valery] Univ Toulouse, Meteo France, CNRS, CNRM, 42 Ave Gaspard Coriolis, F-31057 Toulouse 1, France.
   [Kwok, Yu Ting] Chinese Univ Hong Kong, Sch Architecture, Hong Kong, Peoples R China.
   [Lau, Kevin Ka Lun] Chinese Univ Hong Kong, Inst Future Cities, Hong Kong, Peoples R China.
   [Wong, Wai Kin] Hong Kong Observ, Hong Kong, Peoples R China.
C3 Universite de Toulouse; Meteo France; Centre National de la Recherche
   Scientifique (CNRS); Chinese University of Hong Kong; Chinese University
   of Hong Kong
RP Schoetter, R (corresponding author), Univ Toulouse, Meteo France, CNRS, CNRM, 42 Ave Gaspard Coriolis, F-31057 Toulouse 1, France.
EM robert.schoetter@meteo.fr
RI Schoetter, Robert/JQV-8894-2023; Kwok, Yu/ABD-7450-2020; Lau,
   KL/IXX-1078-2023; Lau, Kevin Ka-Lun/Q-9139-2016
OI Lau, Kevin Ka-Lun/0000-0003-3438-1182
FU Partenariat Hubert Curien [42552SL/F-CUHK403/18]; Research Grant Council
   of the Hong Kong Special Administrative Region, China [CUR4046-18F];
   Hong Kong PhD Fellowship Scheme by the Hong Kong Research Grants Council
FX This research has been supported by the Partenariat Hubert Curien
   PROCORE-2019 (grant no. 42552SL/F-CUHK403/18) for the project "The
   effects of urban development strategies on the urban climate of Hong
   Kong: An analysis based on numerical modelling" and the Research Grant
   Council of the Hong Kong Special Administrative Region, China (grant no.
   CUR4046-18F). Yu Ting Kwok received funding from the Hong Kong PhD
   Fellowship Scheme by the Hong Kong Research Grants Council.
CR Aflaki A, 2017, CITIES, V62, P131, DOI 10.1016/j.cities.2016.09.003
   Arnfield AJ, 2003, INT J CLIMATOL, V23, P1, DOI 10.1002/joc.859
   Aumond P, 2013, BOUND-LAY METEOROL, V146, P65, DOI 10.1007/s10546-012-9758-x
   Barlow J, 2017, B AM METEOROL SOC, V98, pES261, DOI 10.1175/BAMS-D-17-0106.1
   Best MJ, 2004, J HYDROMETEOROL, V5, P1271, DOI 10.1175/JHM-382.1
   BOUGEAULT P, 1989, MON WEATHER REV, V117, P1872, DOI 10.1175/1520-0493(1989)117<1872:POOITI>2.0.CO;2
   Bueno B, 2012, GEOSCI MODEL DEV, V5, P433, DOI 10.5194/gmd-5-433-2012
   Ca VT, 1999, J WIND ENG IND AEROD, V81, P181, DOI 10.1016/S0167-6105(99)00016-1
   Champeaux JL, 2005, METEOROL APPL, V12, P29, DOI 10.1017/S1350482705001519
   Chen F, 2001, MON WEATHER REV, V129, P569, DOI 10.1175/1520-0493(2001)129<0569:CAALSH>2.0.CO;2
   Chen FF, 2011, INDISPENSABLE TRUTH: HOW FUSION POWER CAN SAVE THE PLANET, P273, DOI [10.1002/joc.2158, 10.1007/978-1-4419-7820-2_8]
   Chin HNS, 2005, MON WEATHER REV, V133, P2043, DOI 10.1175/MWR2962.1
   Ching J, 2018, B AM METEOROL SOC, V99, P1907, DOI 10.1175/BAMS-D-16-0236.1
   DEARDORFF JW, 1980, BOUND-LAY METEOROL, V18, P495, DOI 10.1007/BF00119502
   Dy CY, 2019, J GEOPHYS RES-ATMOS, V124, P4460, DOI 10.1029/2018JD029333
   Garuma GF, 2018, URBAN CLIM, V24, P830, DOI 10.1016/j.uclim.2017.10.006
   Giorgi F, 1997, REV GEOPHYS, V35, P413, DOI 10.1029/97RG01754
   Guo ZC, 2006, J HYDROMETEOROL, V7, P611, DOI 10.1175/JHM511.1
   Gutiérrez E, 2015, BOUND-LAY METEOROL, V157, P333, DOI 10.1007/s10546-015-0051-7
   Hamdi R, 2008, J APPL METEOROL CLIM, V47, P2627, DOI 10.1175/2008JAMC1865.1
   Hogan RJ, 2019, BOUND-LAY METEOROL, V173, P53, DOI 10.1007/s10546-019-00457-0
   Hogan RJ, 2019, BOUND-LAY METEOROL, V170, P357, DOI 10.1007/s10546-018-0409-8
   KAIN JS, 1990, J ATMOS SCI, V47, P2784, DOI 10.1175/1520-0469(1990)047<2784:AODEPM>2.0.CO;2
   Kondo H., 1998, J. Japan Soc. Atmos. Environ, V33, P179, DOI [10.11298/taiki1995.33.3_179, DOI 10.11298/TAIKI1995.33.3_179]
   Koster RD, 2006, J HYDROMETEOROL, V7, P590, DOI 10.1175/JHM510.1
   Krayenhoff ES, 2020, URBAN CLIM, V32, DOI 10.1016/j.uclim.2020.100590
   Kusaka H, 2001, BOUND-LAY METEOROL, V101, P329, DOI 10.1023/A:1019207923078
   Kwok YT, 2020, THEOR APPL CLIMATOL, V142, P129, DOI 10.1007/s00704-020-03298-x
   Lac C, 2018, GEOSCI MODEL DEV, V11, P1929, DOI 10.5194/gmd-11-1929-2018
   Lafore JP, 1998, ANN GEOPHYS-ATM HYDR, V16, P90, DOI 10.1007/s00585-997-0090-6
   Lam JSL, 2006, BOUND-LAY METEOROL, V119, P263, DOI 10.1007/s10546-005-9027-3
   Lemonsu A, 2012, GEOSCI MODEL DEV, V5, P1377, DOI 10.5194/gmd-5-1377-2012
   Lin WS, 2007, THEOR APPL CLIMATOL, V89, P63, DOI 10.1007/s00704-006-0244-6
   Lin WS, 2009, REG ENVIRON CHANGE, V9, P75, DOI 10.1007/s10113-008-0057-5
   Lo JCF, 2007, J APPL METEOROL CLIM, V46, P457, DOI 10.1175/JAM2477.1
   Luo M, 2017, J CLIMATE, V30, P703, DOI [10.1175/JCLI-D-16-0269.1, 10.1175/jcli-d-16-0269.1]
   Martilli A, 2002, BOUND-LAY METEOROL, V104, P261, DOI 10.1023/A:1016099921195
   Masson V, 2006, THEOR APPL CLIMATOL, V84, P35, DOI 10.1007/s00704-005-0142-3
   Masson V, 2013, GEOSCI MODEL DEV, V6, P929, DOI 10.5194/gmd-6-929-2013
   Masson V, 2003, J CLIMATE, V16, P1261, DOI 10.1175/1520-0442-16.9.1261
   Masson V, 2000, BOUND-LAY METEOROL, V94, P357, DOI 10.1023/A:1002463829265
   Masson V, 2020, URBAN CLIM, V31, DOI 10.1016/j.uclim.2019.100536
   Masson V, 2009, J APPL METEOROL CLIM, V48, P1377, DOI 10.1175/2009JAMC1866.1
   Moonen P, 2012, FRONT ARCHIT RES, V1, P197, DOI 10.1016/j.foar.2012.05.002
   Ng Y. Y., 2012, FINAL REPORT APPENDI, P1685
   NOILHAN J, 1989, MON WEATHER REV, V117, P536, DOI 10.1175/1520-0493(1989)117<0536:ASPOLS>2.0.CO;2
   Oleson KW, 2008, J APPL METEOROL CLIM, V47, P1038, DOI 10.1175/2007JAMC1597.1
   Oleson KW, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2009GL042194
   Pergaud J, 2009, BOUND-LAY METEOROL, V132, P83, DOI 10.1007/s10546-009-9388-0
   Pigeon G, 2014, ENERG BUILDINGS, V76, P1, DOI 10.1016/j.enbuild.2013.10.038
   RAUPACH MR, 1992, BOUND-LAY METEOROL, V60, P375, DOI 10.1007/BF00155203
   Redon E, 2020, GEOSCI MODEL DEV, V13, P385, DOI 10.5194/gmd-13-385-2020
   Roth M, 2000, Q J ROY METEOR SOC, V126, P941, DOI 10.1256/smsqj.56408
   Sailor DJ, 2011, INT J CLIMATOL, V31, P189, DOI 10.1002/joc.2106
   Salamanca F, 2010, THEOR APPL CLIMATOL, V99, P331, DOI [10.1007/s00704-009-0142-9, 10.1007/s00704-009-0143-8]
   Santiago JL, 2014, URBAN CLIM, V9, P115, DOI 10.1016/j.uclim.2014.07.008
   Santiago JL, 2013, BOUND-LAY METEOROL, V149, P43, DOI 10.1007/s10546-013-9833-y
   Santiago JL, 2010, BOUND-LAY METEOROL, V137, P417, DOI 10.1007/s10546-010-9538-4
   Santiago JL, 2019, SUSTAIN CITIES SOC, V48, DOI 10.1016/j.scs.2019.101559
   Schoetter R., 2020, ZENODO
   Séférian R, 2019, J ADV MODEL EARTH SY, V11, P4182, DOI 10.1029/2019MS001791
   Seity Y, 2011, MON WEATHER REV, V139, P976, DOI 10.1175/2010MWR3425.1
   Shephard JM, 2005, EARTH INTERACT, V9
   Simón-Moral A, 2017, BOUND-LAY METEOROL, V163, P103, DOI 10.1007/s10546-016-0211-4
   Simón-Moral A, 2014, BOUND-LAY METEOROL, V151, P579, DOI 10.1007/s10546-013-9901-3
   Skamarock W. C., 2008, A description of the advanced research WRF version 3, P125, DOI [DOI 10.5065/D68S4MVH, 10.5065/D68S4MVH, DOI 10.5065/1DFH-6P97]
   Termonia P, 2018, GEOSCI MODEL DEV, V11, P257, DOI 10.5194/gmd-11-257-2018
   Trusilova K, 2016, METEOROL Z, V25, P231, DOI 10.1127/metz/2015/0587
   Unger J, 1999, INT J CLIMATOL, V19, P1509, DOI 10.1002/(SICI)1097-0088(19991115)19:13<1509::AID-JOC453>3.0.CO;2-P
   UNO I, 1989, BOUND-LAY METEOROL, V49, P77, DOI 10.1007/BF00116406
   Voldoire A, 2017, GEOSCI MODEL DEV, V10, P4207, DOI 10.5194/gmd-10-4207-2017
   VU TC, 2002, BOUND-LAY METEOROL, V102, P459
   Wang D, 2019, SCI TOTAL ENVIRON, V690, P923, DOI 10.1016/j.scitotenv.2019.07.039
   Wang XM, 2014, J APPL METEOROL CLIM, V53, P346, DOI 10.1175/JAMC-D-13-054.1
   Wang Y, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaa848
   Wang Y, 2017, J GEOPHYS RES-ATMOS, V122, P4332, DOI 10.1002/2017JD026702
   Wong MS, 2015, IEEE GEOSCI REMOTE S, V12, P1466, DOI 10.1109/LGRS.2015.2409111
   Wong MMF, 2019, URBAN CLIM, V28, DOI 10.1016/j.uclim.2019.100460
NR 78
TC 23
Z9 25
U1 1
U2 15
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 1991-959X
EI 1991-9603
J9 GEOSCI MODEL DEV
JI Geosci. Model Dev.
PD NOV 18
PY 2020
VL 13
IS 11
BP 5609
EP 5643
DI 10.5194/gmd-13-5609-2020
PG 35
WC Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology
GA OW4KP
UT WOS:000592858000002
OA gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Degefu, MA
   Alamirew, T
   Zeleke, G
   Bewket, W
AF Degefu, Mekonnen Adnew
   Alamirew, Tena
   Zeleke, Gete
   Bewket, Woldeamlak
TI Detection of trends in hydrological extremes for Ethiopian watersheds,
   1975-2010
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Streamflow; Extreme flows; Trend detection; Ethiopian watersheds
ID BLUE NILE BASIN; LAND-COVER; CLIMATE-CHANGE; STREAM-FLOW; RIVER FLOW;
   RAINFALL; VARIABILITY; FLOODS; FREQUENCY; SERIES
AB This study investigates trends in streamflow variables for 57 gauging stations distributed across the Ethiopian highlands for the period 1975-2010. We used the Mann-Kendall's test to detect trends and the Sen's slope estimator to calculate trend magnitudes. The findings show that more than 70% out of 513 test cases have shown increasing signals, and 32% of the tests were globally field significant at 0.05 level. Increasing change in low-flow magnitudes and decreasing change in low-flow frequency that exceeded 80 percentile (Qmin80p) were more prevalent than the others. Global field significant increasing changes were observed for 40% out of 228 test cases for low-flow amounts, while Qmin80p has shown decreasing trend at 46 out of 57 stations, and 26 of these were statistically significant. The general tendency is towards upward change, but there were some stations that showed field significant decreasing trends for high-flow indicators. General trend signals (upward or downward) and stations with significant changes did not show any spatial pattern. There were even adjacent gauging stations within the same river basin or adjacent river basins that showed statistically significant opposite trends for some test cases. The complex spatial pattern of trend signals is partly attributable to the very complex topographic, climatic, and land cover variations in the country that are well documented in previous studies. Also, the observed trends are difficult to fully explain in terms of climate change or land cover conversion. Generally, the results of this study contradict with previous studies that reported no significant trends in streamflow variables over Ethiopia. The study has important implications for climate change adaptation planning, water-related disaster risk management, and water sector development activities in the country.
C1 [Degefu, Mekonnen Adnew; Alamirew, Tena; Zeleke, Gete] Addis Ababa Univ Ethiopia, Water & Land Resource Ctr Ethiopia, Rahem Bldg,Diaspora Sq,POB 3880, Addis Ababa, Ethiopia.
   [Degefu, Mekonnen Adnew] Debre Markos Univ, Dept Geog & Environm Studies, POB 269, Debre Markos, Ethiopia.
   [Bewket, Woldeamlak] Addis Ababa Univ, Dept Geog & Environm Studies, POB 1176, Addis Ababa, Ethiopia.
C3 Addis Ababa University
RP Degefu, MA (corresponding author), Addis Ababa Univ Ethiopia, Water & Land Resource Ctr Ethiopia, Rahem Bldg,Diaspora Sq,POB 3880, Addis Ababa, Ethiopia.; Degefu, MA (corresponding author), Debre Markos Univ, Dept Geog & Environm Studies, POB 269, Debre Markos, Ethiopia.
EM mekonnenadnew@yahoo.com; tena.a@wlrc-eth.org; gete.z@wlrc-eth.org;
   wbewket@yahoo.com
RI Agumassie, Tena/AAL-3707-2021; Degefu, Mekonnen Adnew/GRR-6199-2022
OI Degefu, Mekonnen Adnew/0000-0001-6316-7543; Alamirew,
   Tena/0000-0001-7491-4401
FU International Foundation for Science (IFS) [W/5103-2]; African Climate
   Change Fellowship Program (ACCFP)
FX The first author received financial assistance provided by the
   International Foundation for Science (IFS, agreement no. W/5103-2) and
   African Climate Change Fellowship Program (ACCFP).
CR [Anonymous], 2011, Ethiopia's Climate-Resilient Green Economy-Green Economy Strategy
   [Anonymous], 2006, Ethiopia: Managing Water Resources to Maximize Growth
   Awulachew SB, 2007, WORKING PAPER, P1
   Berhanu B., 2014, Nile River Basin, P97, DOI [DOI 10.1007/978-3-319-02720-3_6, 10.1007/978-3-319-02720-3]
   Bewket W, 2005, HYDROL PROCESS, V19, P445, DOI 10.1002/hyp.5542
   Bewket W, 2007, INT J CLIMATOL, V27, P1467, DOI 10.1002/joc.1481
   Billi P, 2015, NAT HAZARDS, V76, P1373, DOI 10.1007/s11069-014-1554-0
   Birhanu A., 2014, INT J ENV PROTECTION, V2, P24, DOI DOI 10.11648/J.IJEPP.20140201.14
   Birsan MV, 2005, J HYDROL, V314, P312, DOI 10.1016/j.jhydrol.2005.06.008
   Burn DH, 2002, J HYDROL, V255, P107, DOI 10.1016/S0022-1694(01)00514-5
   Burn DH, 2010, HYDROL PROCESS, V24, P1781, DOI 10.1002/hyp.7625
   Cheung WH, 2008, INT J CLIMATOL, V28, P1723, DOI 10.1002/joc.1623
   Conway D, 2000, GEOGR J, V166, P49, DOI 10.1111/j.1475-4959.2000.tb00006.x
   Conway D, 2011, GLOBAL ENVIRON CHANG, V21, P227, DOI 10.1016/j.gloenvcha.2010.07.013
   Degefu MA, 2017, ENVIRON MONIT ASSESS, V189, DOI 10.1007/s10661-017-5862-1
   Degefu MA, 2014, REG ENVIRON CHANGE, V14, P799, DOI 10.1007/s10113-013-0538-z
   Diro GT, 2011, CLIM DYNAM, V37, P103, DOI 10.1007/s00382-010-0837-8
   Douben KJ, 2006, IRRIG DRAIN, V55, pS9, DOI 10.1002/ird.239
   Douglas EM, 2000, J HYDROL, V240, P90, DOI 10.1016/S0022-1694(00)00336-X
   ECE Economic Commission for Europe, 2009, GUID WAT AD CLIM CHA
   Gebrehiwot SG, 2014, REG ENVIRON CHANGE, V14, P321, DOI 10.1007/s10113-013-0491-x
   Hannaford J, 2008, INT J CLIMATOL, V28, P1325, DOI 10.1002/joc.1643
   Cisneros BEJ, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P229
   Jury MR, 2013, INT J CLIMATOL, V33, P1924, DOI 10.1002/joc.3560
   Khaliq MN, 2007, INT J CLIMATOL, V27, P681, DOI 10.1002/joc.1438
   Kundzewicz ZW, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P173
   Kundzewicz ZW, 2005, HYDROLOG SCI J, V50, P797, DOI 10.1623/hysj.2005.50.5.797
   Legesse D, 2010, HYDROL EARTH SYST SC, V14, P2277, DOI 10.5194/hess-14-2277-2010
   Mekasha A, 2014, INT J CLIMATOL, V34, P1990, DOI 10.1002/joc.3816
   Melesse A, 2010, HYDROL PROCESS, V24, P241, DOI 10.1002/hyp.7312
   MoWIE (Ministry of Water Irrigation and Energy), 2014, ETH CLIM RES GREEN E
   Petrow T, 2009, J HYDROL, V371, P129, DOI 10.1016/j.jhydrol.2009.03.024
   Rientjes THM, 2011, HYDROL EARTH SYST SC, V15, P1979, DOI 10.5194/hess-15-1979-2011
   Salmi T., 2002, DETECTING TRENDS ANN, P1
   Segele ZT, 2005, METEOROL ATMOS PHYS, V89, P153, DOI 10.1007/s00703-005-0127-x
   Seleshi Y, 2006, THEOR APPL CLIMATOL, V83, P181, DOI 10.1007/s00704-005-0134-3
   Svensson C, 2005, HYDROLOG SCI J, V50, P811, DOI 10.1623/hysj.2005.50.5.811
   Taye MT, 2015, J HYDROL-REG STUD, V4, P280, DOI 10.1016/j.ejrh.2015.07.001
   Tesemma ZK, 2010, HYDROL PROCESS, V24, P3747, DOI 10.1002/hyp.7893
   Viste E, 2013, THEOR APPL CLIMATOL, V112, P535, DOI 10.1007/s00704-012-0746-3
   WMO, 2008, Manual on lowflow estimation and prediction
   Worku FF, 2014, HYDROL EARTH SYST SC, V18, P3837, DOI 10.5194/hess-18-3837-2014
   Yue S, 2002, HYDROL PROCESS, V16, P1807, DOI 10.1002/hyp.1095
NR 43
TC 14
Z9 14
U1 1
U2 11
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD OCT
PY 2019
VL 19
IS 7
SI SI
BP 1923
EP 1933
DI 10.1007/s10113-019-01510-x
PG 11
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA JB9WG
UT WOS:000488930500008
OA Bronze
DA 2025-01-10
ER

PT J
AU Frohlich, MF
   Smith, TF
   Jacobson, C
   Fidelman, P
   Carter, RW
   Baldwin, C
AF Frohlich, Miguel F.
   Smith, Timothy F.
   Jacobson, Chris
   Fidelman, Pedro
   Carter, R. W. (Bill)
   Baldwin, Claudia
TI Towards adaptive coastal management: Lessons from a "legal storm" in
   Byron Shire, Australia
SO OCEAN & COASTAL MANAGEMENT
LA English
DT Article
DE Adaptive governance; Adaptive management; Law; Managed realignment; Path
   dependency
ID CLIMATE-CHANGE ADAPTATION; DECISION-MAKING TRIGGERS; FLEURIEU PENINSULA;
   PLANNED RETREAT; POLICY; ZONE; RISK; LAW; STATIONARITY; FRAMEWORK
AB Adaptive management has been advocated as an appropriate approach for the management of social-ecological systems, although its implementation has proven to be a challenge. Legal systems can hinder or facilitate adaptive management. Focusing on legal arrangements, this article explores how adaptive management can be better operationalised in the context of coastal management. Byron Shire, a local government area in New South Wales, Australia, was selected as a case study where we: (a) analysed how the concept of adaptive management has emerged within the evolution of coastal management and its applicable legal framework, and (b) identified juridical constraints to adaptive coastal management. Qualitative methods were used for the analysis of relevant documents and semi-structured interviews with 23 key informants. The results show that a distorted version of adaptive management has been adopted in Byron Shire's draft coastal management plans, which fails to adhere to the formal, structured, and iterative process of adaptive management. A legacy created by the legal effects of past decisions affecting coastal management has led to a path dependency towards protective measures to manage coastal erosion, constraining other management options, particularly managed realignment strategies. Failure to address juridical constraints in the early stages of the adaptive management process can result in stakeholder conflict and litigation. Overlitigation harms adaptive coastal management by pushing the decision-making process away from the pathway offered by the legal framework for preparing and implementing coastal management plans. After recent legislative coastal reform at the state level, there is momentum for the Byron Shire Council to refocus its adaptive management approach. However, overcoming existing juridical constraints will require adaptive governance, in which all levels of government must work collaboratively with the affected stakeholders in the design and implementation of the adaptive management process.
C1 [Frohlich, Miguel F.; Smith, Timothy F.; Jacobson, Chris; Fidelman, Pedro; Carter, R. W. (Bill); Baldwin, Claudia] Univ Sunshine Coast, Sustainabil Res Ctr, Locked Bag 4, Maroochydore, Qld 4558, Australia.
   [Frohlich, Miguel F.] Saes Advogados, Av Rio Branco 4,Sala 1104, BR-20090000 Rio De Janeiro, RJ, Brazil.
   [Smith, Timothy F.] Brock Univ, Environm Sustainabil Res Ctr, 1812 Sir Isaac Brock Way, St Catharines, ON L2S 3A1, Canada.
   [Smith, Timothy F.] Uppsala Univ, SWEDESD, Campus Gotland, SE-62167 Visby, Sweden.
   [Fidelman, Pedro] Univ Queensland, Ctr Policy Futures, St Lucia, Qld 4072, Australia.
   [Fidelman, Pedro] Ctr Marine Socioecol, Hobart, Tas 7004, Australia.
C3 University of the Sunshine Coast; Brock University; Uppsala University;
   University of Queensland
RP Frohlich, MF (corresponding author), Univ Sunshine Coast, Sustainabil Res Ctr, Locked Bag 4, Maroochydore, Qld 4558, Australia.
EM miguel.frohlich@research.usc.edu.au; tsmith5@usc.edu.au;
   cjacobso@usc.edu.au; p.fidelman@uq.edu.au; bcarter@usc.edu.au;
   cbaldwin@usc.edu.au
RI Jacobson, Christine/C-4951-2012; Fidelman, Pedro/N-1466-2014; , Claudia
   and Baldwin/G-6889-2019; Carter, Rodney/T-8996-2019
OI Franco Frohlich, Miguel/0000-0002-9068-5167; Fidelman,
   Pedro/0000-0001-7780-0952; Smith, Timothy/0000-0002-3991-5211; Jacobson,
   Chris/0000-0002-8592-0601; Carter, Rodney/0000-0003-3545-825X
FU Australian Government through the Research Training Program (RTP)
   Scholarship; Australian Research Council [FT180100652]; Australian
   Research Council [FT180100652] Funding Source: Australian Research
   Council
FX This research was supported by the Australian Government through the
   Research Training Program (RTP) Scholarship and the Australian Research
   Council's Discovery Projects Funding Scheme (Project FT180100652). The
   views expressed herein are those of the authors and are not necessarily
   those of the Australian Government or Australian Research Council. We
   thank all the interviewees who shared their time and knowledge for the
   purposes of this research project.
CR Allen CR, 2011, J ENVIRON MANAGE, V92, P1339, DOI 10.1016/j.jenvman.2010.11.019
   Allen CR, 2011, J ENVIRON MANAGE, V92, P1379, DOI 10.1016/j.jenvman.2010.10.063
   [Anonymous], COMP COAST ENG ASP S
   [Anonymous], BYR SHIR COUNC ORD M
   [Anonymous], 2014, CLIMATE CHANGE COAST
   [Anonymous], DRAFT COAST ZON MAN
   [Anonymous], 2016, COAST ZON MAN PLAN B
   [Anonymous], 2015, Journal of Law, Economics & Policy.
   [Anonymous], 2014, IDAHO LAW REV
   [Anonymous], 2012, VT J ENV LAW, DOI DOI 10.2307/VERMJENVILAW.13.3.425
   [Anonymous], 201328 WRL U NEW S W
   [Anonymous], 2006, COASTAL MANAGEMENT A
   [Anonymous], OUR FUT COAST NSW A
   [Anonymous], 2006, SCOPING STUDY FEASIB
   [Anonymous], 78026 COAST ENG BRAN
   [Anonymous], 1996, ENVIRON PLAN LAW J
   [Anonymous], MCGILL J SUSTAINABLE
   [Anonymous], 1996, GES REP STUD
   [Anonymous], THESIS
   [Anonymous], GUID US COST BEN AN
   [Anonymous], BYR SHIR COUNC M HEL
   [Anonymous], OUR COASTL CAPE BYR
   [Anonymous], DRAFT BYRON SHIRE CO
   [Anonymous], 2018, DICT JURIDIQUE TRANS
   [Anonymous], GUID PREP COAST ZON
   [Anonymous], 17 NSW COAST C WOLL
   [Anonymous], BYR SHIR COUNC M HEL
   [Anonymous], BYRON BAY EROSION PR
   [Anonymous], AUSTR COASTS PORTS 2
   [Anonymous], EC PUBLIC POLICY WOR
   [Anonymous], 2017, BYR SHIR COUNC M HEL
   [Anonymous], GUID PREP COAST ZON
   [Anonymous], THE ENVIRONMENTAL LA
   [Anonymous], REV ENV FACTORS INTE
   [Anonymous], 2016, ENV LAW AUSTR
   [Anonymous], AUSTRALASIAN COASTS
   [Anonymous], 2012, Applications of case study research
   Babbie E., 2013, The practice of social research
   Barnett J, 2015, ECOL SOC, V20, DOI 10.5751/ES-07698-200305
   Barragán JM, 2018, OCEAN COAST MANAGE, V157, P203, DOI 10.1016/j.ocecoaman.2018.03.003
   Barragan Munoz J.M., 2014, POLITICA GESTION LIT
   Bazeley P., 2013, Qualitative Data Analysis with NVivo
   Benson M. H., 2015, Adaptive management of social-ecological systems, P39, DOI [10.1007/978-94-017-9682-84, DOI 10.1007/978-94-017-9682-84]
   Benson MH, 2013, ECOL SOC, V18, DOI 10.5751/ES-05613-180332
   Benson MH, 2011, J ENVIRON MANAGE, V92, P1420, DOI 10.1016/j.jenvman.2010.10.011
   Birge HE, 2016, J ENVIRON MANAGE, V183, P343, DOI 10.1016/j.jenvman.2016.07.054
   Bjorkland R, 2013, ENVIRON IMPACT ASSES, V43, P129, DOI 10.1016/j.eiar.2013.07.001
   Buckley R, 2008, TOUR REV INT, V12, P71, DOI 10.3727/154427208785899957
   Buckley R, 2013, REG ENVIRON CHANGE, V13, P211, DOI 10.1007/s10113-012-0383-5
   Buono F, 2015, OCEAN COAST MANAGE, V114, P21, DOI 10.1016/j.ocecoaman.2015.06.001
   Byron Shire Council, 2022, Byron Shire Heritage Strategy 20202024
   Christie P, 2005, OCEAN COAST MANAGE, V48, P208, DOI 10.1016/j.ocecoaman.2005.04.002
   Clarke B, 2013, J COASTAL RES, P915, DOI 10.2112/SI65-155.1
   Cosens B., 2018, Practical Panarchy for Adaptive Water Governance: Linking Law to Social-Ecological Resilience, DOI [10.1007/978-3-319-72472-0, 10.1007/978-3-319-72472-0_1, DOI 10.1007/978-3-319-72472-0_1]
   Cosens BA, 2013, ECOL SOC, V18, DOI 10.5751/ES-05093-180103
   Craig Robin Kundis, 2010, Sustainability, V2, P1361, DOI 10.3390/su2051361
   Craig RK, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa7037
   Craig RK, 2019, CLIMATIC CHANGE, V152, P215, DOI 10.1007/s10584-018-2203-5
   Craig RK, 2014, VANDERBILT LAW REV, V67, P1
   Craig RK, 2010, HARVARD ENVIRON LAW, V34, P9
   Cullinan C., 2006, INTEGRATED COASTAL M
   Doremus H., 2001, WASHBURN LAW J, V41, P50
   England P, 2013, ENVIRON PLAN LAW J, V30
   Fischman RL, 2016, CONSERV BIOL, V30, P268, DOI 10.1111/cobi.12616
   Frohlich MF, 2018, ECOL SOC, V23, DOI 10.5751/ES-10060-230223
   Gallagher A, 2010, OCEAN COAST MANAGE, V53, P336, DOI 10.1016/j.ocecoaman.2010.04.017
   Garmestani A.S., 2008, NEB L REV, V87, P1036
   Garmestani A.S., 2015, Adaptive management of social-ecological systems, P255, DOI [DOI 10.1007/978-94-017-9682-8_14, DOI 10.1007/978-94-017-9682-8]
   Garmestani AhjondS., 2014, Social-Ecological Resilience and Law, P365
   GIBBS G., 2007, The Effects of Programme Assessment Environments on Student Learning
   Gibbs MT, 2016, OCEAN COAST MANAGE, V130, P107, DOI 10.1016/j.ocecoaman.2016.06.002
   Gillham B., 2005, RES INTERVIEWING RAN
   Gillson L, 2019, TRENDS ECOL EVOL, V34, P31, DOI 10.1016/j.tree.2018.10.003
   Green O. O., 2012, Diversity, V4, P164, DOI 10.3390/d4020164
   Green OO, 2015, FRONT ECOL ENVIRON, V13, P332, DOI 10.1890/140294
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   Harvey N, 2010, COASTAL MANAGEMENT IN AUSTRALIA, P1
   Harvey N, 2019, MAR POLICY, V107, DOI 10.1016/j.marpol.2019.103566
   Harvey N, 2019, MAR POLICY, V103, P27, DOI 10.1016/j.marpol.2019.02.016
   Harvey N, 2012, GEOGR RES-AUST, V50, P356, DOI 10.1111/j.1745-5871.2011.00734.x
   Hasselman L, 2017, ENVIRON SCI POLICY, V78, P9, DOI 10.1016/j.envsci.2017.08.018
   Holling C.S., 1978, Adaptive environmental assessment and management
   Jacobson C, 2014, OCEAN COAST MANAGE, V89, P51, DOI 10.1016/j.ocecoaman.2013.12.008
   Kay R, 1997, COAST MANAGE, V25, P265, DOI 10.1080/08920759709362323
   Kelly J, 2017, ROUTL RES SPORT CULT, P149
   Koontz TM, 2008, CONSERV BIOL, V22, P60, DOI 10.1111/j.1523-1739.2007.00860.x
   Kwasniak Arlene J., 2010, Journal of Environmental Assessment Policy and Management, V12, P425, DOI 10.1142/S1464333210003723
   Lee J, 2014, ENVIRONMENTAL AND PLANNING LAW JOURNAL, V31
   Lee K.N., 1999, Conservation Ecology, V3, P3, DOI DOI 10.5751/ES-00131-030203
   Lipman Z, 2011, ENVIRON PLAN LAW J, V28
   Mabry L., 2008, The SAGE handbook of social research methods, P214, DOI [DOI 10.4135/9781446212165, DOI 10.4135/9781446212165.N13]
   McDonald J, 2014, J ENVIRON LAW, V26, P25, DOI 10.1093/jel/equ003
   McLain RJ, 1996, ENVIRON MANAGE, V20, P437, DOI 10.1007/BF01474647
   Meretsky VJ, 2014, CONSERV BIOL, V28, P1415, DOI 10.1111/cobi.12292
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Minichiello V., 1995, Depth interviewing: Principles, techniques and analysis
   Nie MA, 2012, CONSERV BIOL, V26, P1137, DOI 10.1111/j.1523-1739.2012.01915.x
   Niven RJ, 2013, REG ENVIRON CHANGE, V13, P193, DOI 10.1007/s10113-012-0315-4
   Novellie P, 2016, ENVIRON SCI POLICY, V66, P40, DOI 10.1016/j.envsci.2016.08.005
   O'Donnell T, 2019, OCEAN COAST MANAGE, V175, P127, DOI 10.1016/j.ocecoaman.2019.03.022
   O'Donnell T, 2016, GEOGR RES-AUST, V54, P301, DOI 10.1111/1745-5871.12170
   O'Hagan AM, 2001, COAST MANAGE, V29, P73
   Olsen S, 1997, OCEAN COAST MANAGE, V37, P155, DOI 10.1016/S0964-5691(98)80036-7
   Preston BL, 2013, SUSTAINABILITY-BASEL, V5, P1011, DOI 10.3390/su5031011
   Rangel-Buitrago N, 2018, OCEAN COAST MANAGE, V156, P290, DOI 10.1016/j.ocecoaman.2018.01.027
   Roche K, 2013, AGENDA, V20, P21
   Roe E, 2001, ENVIRON MANAGE, V27, P195, DOI 10.1007/s002670010143
   Ruhl JB, 2016, J ENVIRON MANAGE, V183, P418, DOI 10.1016/j.jenvman.2016.07.066
   Ruhl JB, 2010, MINN LAW REV, V95, P424
   Ruhl J.B., 2011, N C LAW REV, V89, P1373
   Ruhl J.B., 2005, MINN JL SCI TECH, V7, P21
   Schultz C, 2012, NAT RESOUR J, V52, P443
   Smith TF, 2009, J COASTAL RES, P1306
   Stojanovic T, 2004, OCEAN COAST MANAGE, V47, P273, DOI 10.1016/j.ocecoaman.2004.08.001
   Taljaard S, 2013, OCEAN COAST MANAGE, V84, P23, DOI 10.1016/j.ocecoaman.2013.07.003
   Thom BG, 2019, COAST RES LIBR, V27, P305, DOI 10.1007/978-3-319-75453-6_19
   Thomsen DC, 2012, ECOL SOC, V17, DOI 10.5751/ES-04953-170320
   Walter M., 2013, Social research methods, V3rd
   Walters C., 1986, ADAPTIVE MANAGEMENT
   Walters CJ, 2007, AMBIO, V36, P304, DOI 10.1579/0044-7447(2007)36[304:IAMHTS]2.0.CO;2
   Waylen KA, 2015, ECOL SOC, V20, DOI 10.5751/ES-07594-200221
   Westerhausen K., 2003, Tourism Geographies, V5, P71, DOI 10.1080/1461668032000034088
   Westgate MJ, 2013, BIOL CONSERV, V158, P128, DOI 10.1016/j.biocon.2012.08.016
   Williams AT, 2018, OCEAN COAST MANAGE, V156, P4, DOI 10.1016/j.ocecoaman.2017.03.022
   Williams BK, 2018, ENVIRON MANAGE, V62, P995, DOI 10.1007/s00267-018-1107-5
   Williams BK, 2016, BIOL CONSERV, V195, P255, DOI 10.1016/j.biocon.2016.01.012
   Williams BK, 2014, ENVIRON MANAGE, V53, P465, DOI 10.1007/s00267-013-0205-7
   Williams BK, 2011, J ENVIRON MANAGE, V92, P1346, DOI 10.1016/j.jenvman.2010.10.041
   Wilson GA, 2014, J ENVIRON PLANN MAN, V57, P1, DOI 10.1080/09640568.2012.741519
   Yin R.K., 2014, Applications of case study research, V2nd
   Young AW, 2018, COAST MANAGE, V46, P527, DOI 10.1080/08920753.2018.1498716
   Zedler JB, 2017, ESTUAR COAST, V40, P1, DOI 10.1007/s12237-016-0162-5
   Zellmer S., 2009, Nebraska Law Review, V87, P893
NR 133
TC 16
Z9 16
U1 3
U2 21
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0964-5691
EI 1873-524X
J9 OCEAN COAST MANAGE
JI Ocean Coastal Manage.
PD SEP 1
PY 2019
VL 179
AR 104909
DI 10.1016/j.ocecoaman.2019.104909
PG 20
WC Oceanography; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Oceanography; Water Resources
GA IY0TJ
UT WOS:000486105500035
DA 2025-01-10
ER

PT J
AU Notenbaert, A
   Pfeifer, C
   Silvestri, S
   Herrero, M
AF Notenbaert, An
   Pfeifer, Catherine
   Silvestri, Silvia
   Herrero, Mario
TI Targeting, out-scaling and prioritising climate-smart interventions in
   agricultural systems: Lessons from applying a generic framework to the
   livestock sector in sub-Saharan Africa
SO AGRICULTURAL SYSTEMS
LA English
DT Article
DE Targeting; Priority setting; Climate smart agriculture; Livestock
ID MODEL; IMPACTS; DAIRY
AB As a result of population growth, urbanization and climate change, agricultural systems around the world face enormous pressure on the use of resources. There is a pressing need for wide-scale innovation leading to development that improves the livelihoods and food security of the world's population while at the same time addressing climate change adaptation and mitigation. A variety of promising climate-smart interventions have been identified. However, what remains is the prioritization of interventions for investment and broad dissemination.
   The suitability and adoption of interventions depends on a variety of bio-physical and socio-economic factors. Also their impacts, when adopted and out-scaled, are likely to be highly heterogeneous. This heterogeneity expresses itself not only spatially and temporally but also in terms of the stakeholders affected, some might win and some might lose. A mechanism that can facilitate a systematic, hot's& assessment of the likely spread and consequential impact of potential interventions is one way of improving the selection and targeting of such options.
   In this paper we provide climate smart agriculture (CSA) planners and implementers at all levels with a generic framework for evaluating and prioritising potential interventions. This entails an iterative process of mapping out recommendation domains, assessing adoption potential and estimating impacts. Through examples, related to livestock production in sub-Saharan Africa, we demonstrate each of the steps and how they are interlinked. The framework is applicable in many different forms, scales and settings. It has a wide applicability beyond the examples presented and we hope to stimulate readers to integrate the concepts in the planning process for climate smart agriculture, which invariably involves multi-stakeholder, multi-scale and multi-objective decision-making. (C) 2016 The Authors. Published by Elsevier Ltd.
C1 [Notenbaert, An] CIAT, POB 823-00621, Nairobi, Kenya.
   [Notenbaert, An] WUR Wageningen Univ, POB 430, NL-6700 AK Wageningen, Netherlands.
   [Pfeifer, Catherine] ILRI, POB 30709-00100, Nairobi, Kenya.
   [Silvestri, Silvia] CABI, POB 633-00621, Nairobi, Kenya.
   [Herrero, Mario] CSIRO, Brisbane, Qld, Australia.
C3 Alliance; International Center for Tropical Agriculture - CIAT;
   Wageningen University & Research; CGIAR; International Livestock
   Research Institute (ILRI); Commonwealth Scientific & Industrial Research
   Organisation (CSIRO)
RP Notenbaert, A (corresponding author), CIAT, POB 823-00621, Nairobi, Kenya.
EM a.notenbaert@cgiar.org
RI Herrero, Mario/A-6678-2015
OI Herrero, Mario/0000-0002-7741-5090; Notenbaert, An Maria
   Omer/0000-0002-6266-2240
FU European Union; Challenge Program on Water and Food (CPWF); Bill and
   Melinda Gates Foundation; CGIAR Research Program on Livestock and Fish
FX The work presented in this publication is a joint output of the European
   Union-funded Animal Change Project, the Targeting and Scaling out
   project in the Nile Basin Development Challenge Program sponsored by the
   Challenge Program on Water and Food (CPWF), the CLEANED LVCs project
   funded by the Bill and Melinda Gates Foundation and the CGIAR Research
   Program on Livestock and Fish. We wish to thank all for their support.
CR [Anonymous], REG ENV CHANG
   [Anonymous], AN CHANG DEL 12 1
   [Anonymous], 138 CCAFS
   [Anonymous], PNAS
   [Anonymous], 208 ICRAF WORLD AGR
   [Anonymous], WORLD AGR 2030 2050
   [Anonymous], ELICITATION IN PRESS
   [Anonymous], LUSH PGIS EXP WORKSH
   [Anonymous], WATER RELATED INDICA
   [Anonymous], 2015, DEV PILOT HIGH RESOL
   [Anonymous], 2007, WORLD BANK POLICY RE
   [Anonymous], 2013, Sourcebook on Climate Smart Agriculture, Forestry and Fisheries
   [Anonymous], GLOBAL BIOGEOCHEM CY
   [Anonymous], TECHNICAL INFORM BRI
   [Anonymous], 2014, 62 CCAFS CGIAR RES P
   [Anonymous], PNAS
   [Anonymous], GLOB FOOD SECUR
   [Anonymous], 2014, EVOL APPL, DOI DOI 10.1111/eva.12137
   [Anonymous], LOTUS WHITE CLOVER C
   [Anonymous], 46 DSGD
   [Anonymous], ECOEFFICIENCY VISION
   [Anonymous], ANN REPORT
   Brandt P, 2017, AGR SYST, V151, P234, DOI 10.1016/j.agsy.2015.12.011
   Connor DJ, 2015, J INTEGR AGR, V14, P1478, DOI 10.1016/S2095-3119(15)61069-3
   Gerber P., 2010, Livestock in a Changing Landscape-Drivers, Consequences, and Responses
   Gerber P.J., 2013, Tackling Climate Change through Livestock-A Global Assessment of Emissions and Mitigation Opportunities
   GHOSH M, 1994, STAT SCI, V9, P55, DOI 10.1214/ss/1177010647
   Giller KE, 2011, AGR SYST, V104, P191, DOI 10.1016/j.agsy.2010.07.002
   Haughton D, 2011, STAT SOC BEHAV SC, P273, DOI 10.1007/978-1-4614-0385-2_13
   Herrero M, 2010, SCIENCE, V327, P822, DOI 10.1126/science.1183725
   Herrero M, 2016, NAT CLIM CHANGE, V6, P452, DOI [10.1038/NCLIMATE2925, 10.1038/nclimate2925]
   Katjiuongua H., 2014, Tanzania smallholder dairy value chain development: Situation analysis and trends
   Klapwijk CJ, 2014, CURR OPIN ENV SUST, V6, P110, DOI 10.1016/j.cosust.2013.11.012
   Kristjanson P, 2009, P NATL ACAD SCI USA, V106, P5047, DOI 10.1073/pnas.0807414106
   Macfarlane M. J., 1986, Proceedings of the New Zealand Grassland Association, V47, P43
   Mottet A, 2017, REG ENVIRON CHANGE, V17, P129, DOI 10.1007/s10113-016-0986-3
   Nordstrom E. M., 2012, Open Forest Science Journal, V5, P23, DOI 10.2174/1874398601205010023
   Notenbaert A, 2013, LAND USE POLICY, V30, P834, DOI 10.1016/j.landusepol.2012.06.016
   Notenbaert AMO, 2009, GISCI REMOTE SENS, V46, P128, DOI 10.2747/1548-1603.46.1.128
   Phillips SJ, 2006, ECOL MODEL, V190, P231, DOI 10.1016/j.ecolmodel.2005.03.026
   Prell C, 2007, INTERDISCIPL SCI REV, V32, P263, DOI 10.1179/030801807X211720
   Randolph TF, 2007, J ANIM SCI, V85, P2788, DOI 10.2527/jas.2007-0467
   Robinson T. P, 2011, GLOBAL LIVESTOCK PRO
   Rosenstock T.S., 2015, WHAT IS SCI BASIS CL
   Rotmans J, 1999, International Journal for Sustainable Development, V2, P201
   SHIKUKU K.M., 2015, Understanding farmers' indicators in climate-smart agriculture prioritization in Nwoya District, Northern Uganda
   Silvestri S, 2012, REG ENVIRON CHANGE, V12, P791, DOI 10.1007/s10113-012-0293-6
   Slocum N., 2003, PARTICIPATORY METHOD
   Smith P, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P811
   Solano C, 2000, AGR SYST, V65, P159, DOI 10.1016/S0308-521X(00)00030-5
   Stoorvogel JJ, 2004, AGRON J, V96, P323, DOI 10.2134/agronj2004.3230
   Stoorvogel JJ, 2004, AGR SYST, V80, P43, DOI 10.1016/j.agsy.2003.06.002
   Thornton PK, 2009, AGR SYST, V101, P113, DOI 10.1016/j.agsy.2009.05.002
   Vayssières J, 2007, ANIMAL, V1, P716, DOI 10.1017/S1751731107696657
   Zurell D, 2012, DIVERS DISTRIB, V18, P628, DOI 10.1111/j.1472-4642.2012.00887.x
NR 55
TC 63
Z9 70
U1 1
U2 77
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0308-521X
EI 1873-2267
J9 AGR SYST
JI Agric. Syst.
PD FEB
PY 2017
VL 151
BP 153
EP 162
DI 10.1016/j.agsy.2016.05.017
PG 10
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA EI5WO
UT WOS:000392567200015
PM 28163354
OA Green Published, hybrid
DA 2025-01-10
ER

PT C
AU Perdinan
   Adi, RF
   Arini, EY
AF Perdinan
   Adi, R. F.
   Arini, E. Y.
GP IOP
TI Regional Analysis of Prone Drought Areas under Future Climate Change
   Scenarios: Case Study Agropolitan of Malang District
SO 3RD INTERNATIONAL SEMINAR ON SCIENCES SCIENCES ON PRECISION AND
   SUSTAINABLE AGRICULTURE (ISS-2016)
SE IOP Conference Series-Earth and Environmental Science
LA English
DT Proceedings Paper
CT 3rd International Seminar on Sciences - Sciences on Precision and
   Sustainable Agriculture (ISS)
CY NOV 04, 2016
CL Bogor, INDONESIA
SP Bogor Agr Univ, Fac Math & Nat Sci
DE climate change; extreme; drought; agropolitan; malang
AB Global climate change challenges livelihoods across the globe concerning its potential impacts. Consequently, climate change adaptation (CCA) strategies should be devised to minimize its negative and maximize its positive impacts. In response to the needs for developing CCA strategies, climate risk assessment should be conducted as an approach to identify contributed factors to the climate risks in a region with which the adaptation strategies can be devised. This study focused on modeling prone areas to drought over a specialized area called Agropolitan located in Malang district. The model was developed based on the concept of drought in combination with spatial analysis. The model includes climate component (i.e., rainfall and evapotranspiration) and biophysical component (i.e., land cover/use, green open space, slope/elevation). The regional climate data for the baseline and future condition were processed using the gridded datasets of WorldClim, which also included the outputs of six global climate models, namely: BCC, CCCMA, CSIRO, GISS, MIROC and NCAR, for projecting future climate of the study region. The analysis shows that prone areas to drought in Malang district was projected to be larger under future climate scenarios. The expanded prone areas were Kalipare sub-district and Pagak sub-district, which prone areas were expanded towards to the south. For the sub-districts of Donomulyo, Bantur, Singosari, and Gedangan, the prone areas were expanded towards to the north. The prone areas of drought in Poncokusumo sub-district remained constant. The prone areas showed within the Agropolitan areas of Poncokusumo were in the villages of Ngadas, Gubukklakah, Pajaran, Argosuko, Ngebruk and Jambesari, and were projected to expand under future climate scenarios. This assessment was an essential step for further study focusing on defining proper CCA strategies for the study region.
C1 [Perdinan] Bogor Agr Univ, Dept Geophys & Meteorol, Bogor, Indonesia.
   [Perdinan; Adi, R. F.; Arini, E. Y.] Prima Intelektual Area PI AREA, Bogor, Indonesia.
   [Perdinan; Adi, R. F.; Arini, E. Y.] Generasi Hijau Indonesia, Bogor, Indonesia.
C3 Bogor Agricultural University
RP Perdinan (corresponding author), Bogor Agr Univ, Dept Geophys & Meteorol, Bogor, Indonesia.; Perdinan (corresponding author), Prima Intelektual Area PI AREA, Bogor, Indonesia.; Perdinan (corresponding author), Generasi Hijau Indonesia, Bogor, Indonesia.
CR BAPPENAS, 2014, NAT ACT PLAN CLIM CH
   Darrigo R, 2008, INT JURNAL CLIMATOLO
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   IPCC (Intergovernmental Panel on Climate Change), 2015, AR6 Synthesis Report Climate Change 2023
   Mujtahiddin M I, 2014, JURNAL METEOROLOGI G, P99
   Nugraha, 2015, GEOFISIKA METEOROLOG
   Nurraahman F I, JURNAL TEKNIK POMITS, P22
   Perdinan Yon S, 2015, CLIMATE CHANGE CHILD
   Rosanne, AM GEOPHYS UNION, V33
   Wilhite D.A., 2005, DROUGHT WATER CRISIS
   Yusron A, 2013, ANALISIS INDEKS KEKE
NR 11
TC 0
Z9 0
U1 0
U2 0
PU IOP PUBLISHING LTD
PI BRISTOL
PA DIRAC HOUSE, TEMPLE BACK, BRISTOL BS1 6BE, ENGLAND
SN 1755-1307
J9 IOP C SER EARTH ENV
JI IOP Conf. Ser. Earth Envir. Sci.
PY 2017
VL 58
AR 012024
DI 10.1088/1755-1315/58/1/012024
PG 8
WC Agriculture, Multidisciplinary; Environmental Sciences
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Agriculture; Environmental Sciences & Ecology
GA BI1MG
UT WOS:000406382200024
OA gold
DA 2025-01-10
ER

PT J
AU Hopping, KA
   Yangzong, CR
   Klein, JA
AF Hopping, Kelly A.
   Yangzong, Ciren
   Klein, Julia A.
TI Local knowledge production, transmission, and the importance of village
   leaders in a network of Tibetan pastoralists coping with environmental
   change
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE cultural consensus analysis; global change; local ecological knowledge;
   pastoralism; social networks; Tibetan Plateau
ID NATURAL-RESOURCE MANAGEMENT; CLIMATE-CHANGE ADAPTATION; ECOLOGICAL
   KNOWLEDGE; RANGELAND DEGRADATION; INDIGENOUS KNOWLEDGE; CENTRALITY
   MEASURES; INFORMANT ACCURACY; SPRING PHENOLOGY; CONSENSUS; PLATEAU
AB Changing climate, social institutions, and natural resource management policies are reshaping the dynamics of socialecological systems globally, with subsistence-based communities likely to be among the most vulnerable to the impacts of global change. These communities' local ecological knowledge is increasingly recognized as a source of adaptive capacity for them as well as a crucial source of information to be incorporated into scientific understanding and policy making. We interviewed Tibetan pastoralists about their observations of environmental changes, their interpretations of the causes of these changes, and the ways in which they acquire and transmit this knowledge. We found that community members tended to agree that changing climate is driving undesirable trends in grassland and livestock health, and some also viewed changing management practices as compounding the impacts of climate change. However, those nominated by their peers as experts on traditional, pastoral knowledge observed fewer changes than did a more heterogeneous group of people who reported more ways in which the environment is changing. Herders mostly discussed these changes among themselves and particularly with village leaders, yet people who discussed environmental changes together did not necessarily hold the same knowledge of them. These results indicate that members of the community are transferring knowledge of environmental change primarily as a means for seeking adaptive solutions to it, rather than for learning from others, and that local leaders can serve as critical brokers of knowledge transfer within and beyond their communities. This highlights not only the interconnectedness of knowledge, practice, and power, but also points toward the important role that local governance can have in helping communities cope with the impacts of global change.
C1 [Hopping, Kelly A.; Klein, Julia A.] Colorado State Univ, Grad Degree Program Ecol, Ft Collins, CO 80523 USA.
   [Hopping, Kelly A.; Klein, Julia A.] Colorado State Univ, Nat Resource Ecol Lab, Ft Collins, CO 80523 USA.
   [Yangzong, Ciren] Tibet Univ, Dept Geog, Tibet, Peoples R China.
   [Klein, Julia A.] Colorado State Univ, Dept Ecosyst Sci & Sustainabil, Ft Collins, CO 80523 USA.
C3 Colorado State University; Colorado State University; Tibet University;
   Colorado State University
RP Hopping, KA (corresponding author), Colorado State Univ, Grad Degree Program Ecol, Ft Collins, CO 80523 USA.; Hopping, KA (corresponding author), Colorado State Univ, Nat Resource Ecol Lab, Ft Collins, CO 80523 USA.
RI Hopping, Kelly/LDF-4152-2024
OI Hopping, Kelly/0000-0002-0557-0526
FU Center for Collaborative Conservation; National Science Foundation; NSF
   [SBE-0624315]; Colorado State University Libraries Open Access Research
   and Scholarship Fund; Direct For Biological Sciences; Division Of
   Environmental Biology [1414106] Funding Source: National Science
   Foundation
FX This work was supported by Graduate Research Fellowships from the Center
   for Collaborative Conservation and National Science Foundation awarded
   to K. A. H, NSF #SBE-0624315 to J. A. K., and by open access publication
   funding from the Colorado State University Libraries Open Access
   Research and Scholarship Fund. The research was conducted under IRB
   protocol 11-3080H, supervised by Kathleen Galvin. This paper benefited
   greatly from suggestions by two anonymous reviewers. We are also
   grateful to Yonten Nyima and Tsechoe Dorji for their expertise during
   the writing of the manuscript, to Tsering Dorje for logistical support,
   to Kathleen Galvin, Emily Yeh, and Rick Stepp for their helpful feedback
   on an earlier version of this paper, and especially to the members of
   the Tibetan community in which this study was conducted.
CR Adger WN, 2003, ECON GEOGR, V79, P387
   [Anonymous], 2009, P NATL ACAD SCI
   [Anonymous], 2011, BIOL LETT
   [Anonymous], 2002, Ucinet 6 for Windows
   [Anonymous], COPING MECH THEIR EF
   [Anonymous], HIMALAYA J ASS NEPAL
   [Anonymous], MILLENNIUM ECOSYSTEM
   [Anonymous], THESIS U TROMSO TROM
   [Anonymous], 2008, SACRED ECOLOGY
   [Anonymous], INT J ENV CHEM ECOLO
   [Anonymous], HUM ECOL
   Atran S, 2002, CURR ANTHROPOL, V43, P421, DOI 10.1086/339528
   Auguie B., 2017, Miscellaneous Functions for "Grid"Graphics
   Baival B, 2012, NOMAD PEOPLES, V16, P53, DOI 10.3167/np.2012.160205
   Bawa K S., 2012, Climate Change in Sikkim Patterns, Impacts and Initiatives. Information and Public Relations Department, P413
   Berkes F, 2009, J ROY SOC NEW ZEAL, V39, P151, DOI 10.1080/03014220909510568
   Bernard Harvey R., 2011, Research methods in anthropology Qualitative and quantitative approaches
   BERNARD HR, 1984, ANNU REV ANTHROPOL, V13, P495, DOI 10.1146/annurev.an.13.100184.002431
   BERNARD HR, 1982, SOC SCI RES, V11, P30, DOI 10.1016/0049-089X(82)90006-0
   Bodin O, 2006, ECOL SOC, V11
   Boillat S, 2013, ECOL SOC, V18, DOI 10.5751/ES-05894-180421
   Boissière M, 2013, ECOL SOC, V18, DOI 10.5751/ES-05822-180413
   Borgatti S. P., 2002, Netdraw network visualisation
   Byg A, 2009, GLOBAL ENVIRON CHANG, V19, P156, DOI 10.1016/j.gloenvcha.2009.01.010
   Cao JJ, 2013, J ARID ENVIRON, V97, P3, DOI 10.1016/j.jaridenv.2013.05.002
   Carothers C, 2014, ECOL SOC, V19, DOI 10.5751/ES-06913-190427
   Christensen JH, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1217
   CORBIN J, 1990, Z SOZIOL, V19, P418, DOI 10.1007/BF00988593
   Costenbader E, 2003, SOC NETWORKS, V25, P283, DOI 10.1016/S0378-8733(03)00012-1
   Crona B, 2006, ECOL SOC, V11
   Crona B, 2013, CLIMATIC CHANGE, V119, P519, DOI 10.1007/s10584-013-0708-5
   DANDRADE RG, 1987, AM BEHAV SCI, V31, P194, DOI 10.1177/000276487031002005
   Dorji T, 2013, GLOBAL CHANGE BIOL, V19, P459, DOI 10.1111/gcb.12059
   Fernández-Giménez ME, 2012, HUM ECOL, V40, P287, DOI 10.1007/s10745-012-9463-x
   Fernandez-Gimenez ME, 2000, ECOL APPL, V10, P1318, DOI 10.1890/1051-0761(2000)010[1318:TROMNP]2.0.CO;2
   Fernández-Llamazares A, 2015, GLOBAL ENVIRON CHANG, V31, P272, DOI 10.1016/j.gloenvcha.2015.02.001
   Fischer A.M., 2011, Himalaya, the Journal of the Association for Nepal and Himalayan Studies, V30, P14
   Folke C., 1998, LINKING SOCIAL ECOLO, P414
   FREEMAN LC, 1979, SOC NETWORKS, V1, P215, DOI 10.1016/0378-8733(78)90021-7
   Fu Y, 2012, ENVIRON MANAGE, V50, P607, DOI 10.1007/s00267-012-9918-2
   Gearheard S, 2010, CLIMATIC CHANGE, V100, P267, DOI 10.1007/s10584-009-9587-1
   Gould RV., 1989, Sociological Methodology, V19, P89, DOI [10.2307/270949, DOI 10.2307/270949]
   Hanneman R. A., 2005, Introduction to Social Network Methods
   Harris RB, 2010, J ARID ENVIRON, V74, P1, DOI 10.1016/j.jaridenv.2009.06.014
   Homann S, 2008, HUM ECOL, V36, P503, DOI 10.1007/s10745-008-9180-7
   Hopkins A, 2011, FIELD METHOD, V23, P307, DOI 10.1177/1525822X11399400
   Hu J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0075503
   Huber T, 1997, J ROY ANTHROPOL INST, V3, P577, DOI 10.2307/3034768
   Ingty T., 2012, Climate Change in Sikkim Patterns, P275
   Isaac ME, 2014, ECOL SOC, V19, DOI 10.5751/ES-06589-190256
   Iselin L., 2011, Himalaya, the Journal of the Association for Nepal and Himalayan Studies, V30, P17
   Kang SC, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/015101
   Klein JA, 2007, ECOL APPL, V17, P541, DOI 10.1890/05-0685
   Klein JA, 2014, GLOBAL ENVIRON CHANG, V28, P141, DOI 10.1016/j.gloenvcha.2014.03.007
   Klein JA, 2011, ADV GLOB CHANGE RES, V42, P423, DOI 10.1007/978-94-007-0567-8_31
   Kronik J, 2010, NEW FRONT SOC POLICY, P145
   Laborde S, 2012, P NATL ACAD SCI USA, V109, P6441, DOI 10.1073/pnas.1113740109
   Lu H, 2014, RANGELAND J, V36, P121, DOI 10.1071/RJ13105
   McCune B, 2002, Analysis of Ecological Communities
   Miller ML, 2004, CROSS-CULT RES, V38, P289, DOI 10.1177/1069397104264278
   Naess LO, 2013, WIRES CLIM CHANGE, V4, P99, DOI 10.1002/wcc.204
   O'Brien KL, 2000, GLOBAL ENVIRON CHANG, V10, P221, DOI 10.1016/S0959-3780(00)00021-2
   Oba G, 2012, PASTORALISM, V2, DOI 10.1186/2041-7136-2-1
   Oteros-Rozas E, 2013, ECOL SOC, V18, DOI 10.5751/ES-05597-180333
   Reyes-García V, 2007, HUM ECOL, V35, P371, DOI 10.1007/s10745-006-9069-2
   Reyes-García V, 2010, INT J EDUC DEV, V30, P305, DOI 10.1016/j.ijedudev.2009.11.007
   Reyes-García V, 2009, EVOL HUM BEHAV, V30, P274, DOI 10.1016/j.evolhumbehav.2009.02.001
   ROMNEY AK, 1986, AM ANTHROPOL, V88, P313, DOI 10.1525/aa.1986.88.2.02a00020
   ROMNEY AK, 1987, AM BEHAV SCI, V31, P163, DOI 10.1177/000276487031002003
   Salick J, 2012, J STUD RELIG NAT CUL, V6, P447, DOI 10.1558/jsrnc.v6i4.447
   Salick J, 2009, GLOBAL ENVIRON CHANG, V19, P137, DOI 10.1016/j.gloenvcha.2009.01.004
   Sasovova Z, 2010, ADMIN SCI QUART, V55, P639, DOI 10.2189/asqu.2010.55.4.639
   Shen MG, 2015, GLOBAL CHANGE BIOL, V21, P3647, DOI 10.1111/gcb.12961
   Shi Y, 2014, BIOGEOSCIENCES, V11, P2003, DOI 10.5194/bg-11-2003-2014
   Smith HA, 2012, WIRES CLIM CHANGE, V3, P467, DOI 10.1002/wcc.185
   Sternberg RJ, 2001, INTELLIGENCE, V29, P401, DOI 10.1016/S0160-2896(01)00065-4
   Strauss E, 1998, CLIN ORTHOP RELAT R, P2
   Strauss Sarah., 2003, WEATHER CLIMATE CULT
   Thébault A, 2014, J ECOL, V102, P896, DOI 10.1111/1365-2745.12236
   Unteregelsbacher S, 2012, BIOGEOCHEMISTRY, V111, P187, DOI 10.1007/s10533-011-9632-9
   Wang SP, 2012, ECOLOGY, V93, P2365, DOI 10.1890/11-1408.1
   Weller SC, 2007, FIELD METHOD, V19, P339, DOI 10.1177/1525822X07303502
   Wickham H, 2009, USE R, P1, DOI 10.1007/978-0-387-98141-3
   Yu HY, 2010, P NATL ACAD SCI USA, V107, P22151, DOI 10.1073/pnas.1012490107
   Zarger RK, 2004, CURR ANTHROPOL, V45, P413, DOI 10.1086/420908
   Zent S., 1999, ETHNOECOLOGY, P90
   Zhang GL, 2013, P NATL ACAD SCI USA, V110, P4309, DOI 10.1073/pnas.1210423110
   Zhang GQ, 2011, REMOTE SENS ENVIRON, V115, P1733, DOI 10.1016/j.rse.2011.03.005
NR 88
TC 46
Z9 50
U1 8
U2 77
PU Resilience Alliance
PI Dedham
PA 231 Bussey St., Beckwith and Brown, Dedham, Massachusetts, UNITED STATES
SN 1708-3087
J9 ECOL SOC
JI Ecol. Soc.
PY 2016
VL 21
IS 1
AR 25
DI 10.5751/ES-08009-210125
PG 19
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA DJ1AI
UT WOS:000373935100010
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Kawanishi, M
   Mimura, N
AF Kawanishi, Masato
   Mimura, Nobuo
TI Rice farmers' response to climate and socio-economic impacts: a case
   study in North Sumatra, Indonesia
SO JOURNAL OF AGRICULTURAL METEOROLOGY
LA English
DT Article
DE Climate change adaptation; Indonesia; Land use; Oil palm; rice
ID VARIABILITY; DIPOLE
AB The aim of the present study is to use data from relevant government agencies to understand the change in rice production and land use since 2000 in North Sumatra, Indonesia, and to examine the combination of climatic and socio-economic factors affecting the change. Interviews and focused group meetings were also held to overcome the limitation of data availability. This study finds that the consistent increase in rice productivity has been offset by the reduction in rice harvest area, resulting in almost no growth in rice production over the last decade in North Sumatra. In contrast, oil palm plantations, particularly smallholder estates, have been expanding in the province. Four factors are identified as those affecting the change in land use: (1) climate conditions, (2) economic environment, (3) rice planting index, and (4) distance from palm oil enterprise estates. At the time of substantial reduction in rice harvest area, unusual climate conditions were observed across different regencies in North Sumatra, as was the case in 2006, when Medan, the provincial capital, recorded the highest annual rainfall during the last 20 years. The responses of the farmers to the rice planting index and the proximity to palm oil enterprise estates, both of which vary across the province, are differentiated into three types: (1) land use conversion from rice production to oil palm plantation, (2) conversion to other cash crops, and (3) staying with rice production. As oil palm is more resilient to rainfall variability, land use conversion from rice to oil palm can be considered a good adaptation from the farmers perspective. The large scale of the conversions, however, may be a threat to the food security of the society as a whole. This indicates that the countermeasures face trade-offs between different social groups, as well as between adaptation actions and other development priorities.
C1 [Kawanishi, Masato] Ibaraki Univ, Grad Sch Sci & Engn, Hitachi, Ibaraki 3168511, Japan.
   [Mimura, Nobuo] Ibaraki Univ, Ctr Water Environm Studies, Hitachi, Ibaraki 3168511, Japan.
C3 Ibaraki University; Ibaraki University
RP Kawanishi, M (corresponding author), Ibaraki Univ, Grad Sch Sci & Engn, 4-12-1 Nakanarusawa, Hitachi, Ibaraki 3168511, Japan.
EM Kawanishi.Masato@jica.go.jp
OI Kawanishi, Masato/0000-0002-7517-7981; yang, mingyue/0009-0003-4418-5406
FU JICA
FX The authors would like to thank the members of the Working Group on
   Adaptation and other stakeholders of the provincial government of North
   Sumatra under the 'Capacity Development for Climate Change Strategies in
   Indonesia,' supported by JICA. Special thanks are extended to Mr. Ir. H.
   Riadil Akhir Lubis, Head of BAPPEDA North Sumatra; Ms. Ir. Lusyantini,
   the Agriculture Office of North Sumatra; Mr. Hendra Suwarta and Mr. M.
   P. Haloho of BMKG North Sumatra; and Professor Zahari Zen of North
   Sumatra University, all of whom provided critical insights and
   information. Finally, our thanks are due to the staff of the above JICA
   project, in particular Mr. Riga Anggarendra, Ms. Adisti Meidina and Ms.
   Fatimah Kamila. Without their support, this study would not have been
   possible.
CR Agriculture Office of North Sumatra, 2010, PERT DAL ANGK PROV S, P1
   Agriculture Office of North Sumatra, 2011, DUK YANG DIB DAL RAN, P1
   Aldrian E, 2003, INT J CLIMATOL, V23, P1435, DOI 10.1002/joc.950
   Amien I, 1999, CLIMATE RES, V12, P145, DOI 10.3354/cr012145
   Amien I, 1996, WATER AIR SOIL POLL, V92, P29
   [Anonymous], 2006, MASYARAKAT DESA PAYA
   BAPPEDA North Sumatra, 2011, M PROV GOV WORK GROU
   Barlow C., 2003, OIL PALM IND EC J, V3, P8
   Behera SK, 2003, J METEOROL SOC JPN, V81, P169, DOI 10.2151/jmsj.81.169
   BPS, 2010, STAT IND 2010, p[203, 249]
   BPS, 2008, STAT HARG PROD PERT, P137
   BPS North Sumatra, 1992, SUM UT DAL ANGK N SU
   BPS North Sumatra, 2009, STAT TAN PAD PAL, P4
   BPS North Sumatra, 2009, STAT LAH SAW SUM UT, P15
   Coordinating Ministry for Economic Affairs, 2011, MAST ACC EXP IND EC, P1
   Dove M. R., 2011, BANANA TREE GATE HIS, P149
   Falcon WP, 2004, B INDONES ECON STUD, V40, P355, DOI 10.1080/0007491042000231520
   Feintrenie L., 2010, WHY DO FARMERS PREFE, P1
   Harijono S.W.B., 2007, INT, V4, P18
   Keil A, 2009, CLIM RES, V38, P155, DOI 10.3354/cr00778
   Kitoh A, 2011, CLIMATE CHANGE ADAPTATION AND INTERNATIONAL DEVELOPMENT: MAKING DEVELOPMENT COOPERATION MORE EFFECTIVE, P19
   Matthews RB, 1997, AGR SYST, V54, P399, DOI 10.1016/S0308-521X(95)00060-I
   McCarthy JF, 2012, WORLD DEV, V40, P555, DOI 10.1016/j.worlddev.2011.07.012
   Ministry of Environment, 2010, IND 2 NAT COMM UN FR, pIV
   Naylor RL, 2007, P NATL ACAD SCI USA, V104, P7752, DOI 10.1073/pnas.0701825104
   Papenfus M. M., 2000, 15 ICRAF SE AS, P1
   Pasaribu S. M, 2010, AGR POLICY ANAL, V8, P1
   PT Perkebunan Nusantara (PTPN) IV, 2010, ANN REPORT
   Rao SA, 2009, CLIM DYNAM, V33, P751, DOI 10.1007/s00382-008-0498-z
   Sahu N., 2010, B, V53, P97
   Saji NH, 1999, NATURE, V401, P360, DOI 10.1038/43855
   Sawit M. H., 2007, RICE IMPORT SURGE IN, P1
   Vermeulen S., 2006, Towards better practice in smallholder palm oil production, P1
   Westhoff P., 2011, EC FOOD, P82
   Wich S., 2011, ORANGUTANS EC SUSTAI, P31
   Wicke B, 2011, LAND USE POLICY, V28, P193, DOI 10.1016/j.landusepol.2010.06.001
   Yulihastin E., 2008, IMPACTS EL NINO IOD, P1
   Zen Z., 2005, WORKING PAPERS TRADE, V2005
NR 38
TC 2
Z9 2
U1 1
U2 33
PU SOC AGRICULTURAL METEOROLOGY JAPAN
PI TSUKUBA
PA C/O SADANORI SASE, MANAGING EDITOR, LAB OF ENVIRONMENTAL CONTROL IN
   AGRICULTURAL BUILDINGS, NATIONA, TSUKUBA, IBARAKI, 305-8609 00000, JAPAN
SN 0021-8588
EI 1881-0136
J9 J AGRIC METEOROL
JI J. Agric. Meteorol.
PY 2013
VL 69
IS 1
BP 9
EP 22
DI 10.2480/agrmet.69.1.2
PG 14
WC Agriculture, Multidisciplinary; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture; Meteorology & Atmospheric Sciences
GA 255AT
UT WOS:000327212300002
OA Bronze
DA 2025-01-10
ER

PT J
AU Youssef, YM
   Gemail, KS
   Atia, HM
   Mahdy, M
AF Youssef, Youssef M.
   Gemail, Khaled S.
   Atia, Hafsa M.
   Mahdy, Mohamed
TI Insight into land cover dynamics and water challenges under
   anthropogenic and climatic changes in the eastern Nile Delta: Inference
   from remote sensing and GIS data
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Land Use/Land Cover(LULC); Climatic change; Freshwater demands; Food
   security; Terrestrial water storage; Nile Delta
ID SALT-AFFECTED SOILS; SEA-LEVEL RISE; WATERLOGGED AREAS; COASTAL AQUIFER;
   INDEX; SHORELINE; COASTLINE; SURFACE; IMPACT; IDENTIFICATION
AB The destabilization of delta's worldwide due to climate change and human activities presents challenges in meeting the growing demands for freshwater and food. The Nile Delta in Egypt is a prime example of a vulnerable region facing various stressors. In order to preserve land and water resources, it is crucial to monitor the spatial and temporal changes in Land Use/Land Cover (LULC), shoreline, and Terrestrial Water Storage (TWS) in these vulnerable regions This study comprehensively investigates the dynamic changes in LULC and their associated water and soil responses in the Eastern Nile Delta under these combined impacts. To achieve this goal, a combination of remote sensing techniques utilizing Landsat (5, 8, and 9), and GRACE datasets, along with field observations and Geographic Information System (GIS) tools, was employed. Accordingly, shoreline changes show coastal erosion rates ranging from 5.28 to 34.92 m/year due to climate change -induced SLR, with continued inland movement predicted for the next 20 years. Moreover, the dynamic changes in urbanization and alterations in agricultural cover have considerable penalties for water demand. Analysis of GRACE data indicates a notable reduction in average TWS by 77.89 mm between 2002 and 2017, with an annual rate, estimated at -5.821 mm/year. Soil sampling in highly vulnerable areas confirms agricultural degradation attributed to elevated salinity levels, with EC values ranging from 3.60 to 190 ds/m. These finds provide valuable insights for stakeholders and policymakers, to make reliable strategies regarding water allocation, land use regulations, and climate change adaptation in the worldwide vulnerable deltas.
C1 [Youssef, Youssef M.] Suez Univ, Fac Petr & Min Engn, Dept Geol & Geophys Engn, Suez 43518, Egypt.
   [Gemail, Khaled S.] Environm Geophys Lab ZEGL, Fac Sci, Dept Geol, Zagazig 44519, Egypt.
   [Atia, Hafsa M.] New Mansoura Univ, Fac Sci, Geol Dept, New Mansoura 35712, Egypt.
   [Mahdy, Mohamed] Zagazig Univ, Fac Arts, Dept Geog, Zagazig 44519, Egypt.
C3 Egyptian Knowledge Bank (EKB); Suez University; Egyptian Knowledge Bank
   (EKB); Zagazig University; New Mansoura University; Egyptian Knowledge
   Bank (EKB); Zagazig University
RP Gemail, KS (corresponding author), Environm Geophys Lab ZEGL, Fac Sci, Dept Geol, Zagazig 44519, Egypt.
EM Youssef.Ibrahim@pme.suezuni.edu.eg; khaledgemail@zu.edu.eg;
   hafsa.atia@nmu.edu.eg; Mmmahdy@arts.zu.edu.eg
RI Mahdy, Mohamed/JXX-5122-2024; M. Youssef, Youssef/HCI-9296-2022
OI Mahdy, Mohamed/0009-0006-0126-1554; M. Youssef,
   Youssef/0000-0001-5939-732X
FU Science, Technology, & Innovation Funding Authority (STDF), Egypt
   [46209]; STDF
FX This work was conducted as part of the research project titled "Roadmap
   for sustainable groundwater resources in the Nile Delta using integrated
   approaches under the impact of climate change and waste- water
   pollution." The project was funded by the Science, Technology, &
   Innovation Funding Authority (STDF), Egypt, under the grant number
   46209, Applied Science 1st Call. The authors would like to express their
   sincere gratitude to STDF for their generous support in making this
   study possible.
CR Abd-Elaty I, 2023, FRONT ENV SCI-SWITZ, V11, DOI 10.3389/fenvs.2023.1136313
   Abd-Elaty I, 2021, ECOL ENG, V171, DOI 10.1016/j.ecoleng.2021.106382
   Abd-Elhamid HF, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15071737
   Abd-Elhamid HF, 2022, WATER-SUI, V14, DOI 10.3390/w14071096
   Abou Samra RM, 2021, EGYPT J REMOTE SENS, V24, P463, DOI 10.1016/j.ejrs.2020.11.002
   Abou Samra RM, 2017, ENVIRON MONIT ASSESS, V189, DOI 10.1007/s10661-017-6152-7
   Abu El-Magd SA, 2023, ENVIRON SCI POLLUT R, V30, P53862, DOI 10.1007/s11356-023-25938-1
   Abu Salem H, 2021, J CONTAM HYDROL, V236, DOI 10.1016/j.jconhyd.2020.103701
   Abu Salem HS, 2022, WATER-SUI, V14, DOI 10.3390/w14071165
   Abu Salem HS, 2017, ARAB J GEOSCI, V10, DOI 10.1007/s12517-017-2991-3
   Aghsaei H, 2020, SCI TOTAL ENVIRON, V712, DOI 10.1016/j.scitotenv.2019.136449
   Agrawala S., 2004, Organization for Economic Co-operation and Development, Paris, V36, P68
   Ahmed M, 2016, SURV GEOPHYS, V37, P529, DOI 10.1007/s10712-016-9360-8
   Ahmed M, 2014, EARTH-SCI REV, V136, P289, DOI 10.1016/j.earscirev.2014.05.009
   Anderson D.J, 2017, A Technical Monograph Prepared for the National Climate Change Adaptation Research Facility
   Anderson W, 2021, NAT FOOD, V2, P603, DOI 10.1038/s43016-021-00327-4
   [Anonymous], 2019, Climate change and land
   Antonellini M, 2008, HYDROGEOL J, V16, P1541, DOI 10.1007/s10040-008-0319-9
   Arafa NA, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su142214699
   Attwa M, 2016, ENVIRON EARTH SCI, V75, DOI 10.1007/s12665-016-5585-6
   Bakr N, 2019, WOR SOIL BOOK SER, P51, DOI 10.1007/978-3-319-95516-2_4
   Balakrishnan P, 2023, WATER-SUI, V15, DOI 10.3390/w15081440
   Befus KM, 2020, NAT CLIM CHANGE, V10, P946, DOI 10.1038/s41558-020-0874-1
   Bellafiore D, 2021, J GEOPHYS RES-OCEANS, V126, DOI 10.1029/2020JC016437
   Bennett NJ, 2016, REG ENVIRON CHANGE, V16, P907, DOI 10.1007/s10113-015-0839-5
   Campbell J.B., 1996, Introduction to Remote Sensing., Vsecond, P621
   Nguyen CT, 2021, LAND-BASEL, V10, DOI 10.3390/land10030231
   Carrasco AR, 2012, GEOMORPHOLOGY, V159, P30, DOI 10.1016/j.geomorph.2012.03.001
   Caspell M, 2021, ISPRS INT J GEO-INF, V10, DOI 10.3390/ijgi10060375
   Central Agency for Public Mobilization and Statistics (CAPMAS), 2000, The Statistical Year Book, 1993-1999
   Chen XH, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10081168
   Chowdary VM, 2008, AGR WATER MANAGE, V95, P754, DOI 10.1016/j.agwat.2008.02.009
   Coleman J.M., 1981, Int. Human Res. Devel. Corp., V124
   Darwish K, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15051392
   Darwish K, 2017, J COASTAL RES, V33, P786, DOI 10.2112/JCOASTRES-D-16-00056.1
   Dasgupta S, 2009, CLIMATIC CHANGE, V93, P379, DOI 10.1007/s10584-008-9499-5
   Dawod G.M. Ahmed, 2020, J. Sci. Eng. Res., V9, P85
   de Montety V, 2008, APPL GEOCHEM, V23, P2337, DOI 10.1016/j.apgeochem.2008.03.011
   Deng J, 2014, SCI WORLD J, DOI 10.1155/2014/405924
   Dibs H., 2023, Multi-fusion algorithms for detecting land surface pattern changes using multi-high spatial resolution images and remote sensing analysis, DOI [10.2139/ssrn.4335897, DOI 10.2139/SSRN.4335897]
   Dibs Hayder, 2023, Emerg. Sci. J., V7, P428, DOI [10.28991/ESJ-2023-07-02-09, DOI 10.28991/ESJ-2023-07-02-09]
   Domroes M, 2005, INT J CLIMATOL, V25, P51, DOI 10.1002/joc.1114
   Duru U, 2017, ENVIRON MONIT ASSESS, V189, DOI 10.1007/s10661-017-6112-2
   Dwivedi RS, 1999, INT J REMOTE SENS, V20, P1589, DOI 10.1080/014311699212623
   E.G.P.C. CONOCO Coral Company, 1987, Geological Map of Egypt, Scale 1: 500,000 Cairo, V1
   Eid FM, 1997, ESTUAR COAST SHELF S, V44, P613, DOI 10.1006/ecss.1996.0160
   El Shazly EM., 1975, Geology and groundwater potential studies of El Ismailia master plan study area Remote Sensing Research Project
   El Shinawi A, 2022, J KING SAUD UNIV SCI, V34, DOI 10.1016/j.jksus.2022.102145
   El Shinawi A, 2022, J HYDROL, V608, DOI 10.1016/j.jhydrol.2022.127607
   El-Asmar HM, 2002, J COASTAL RES, V18, P433
   El-Raey M, 1999, INT J REMOTE SENS, V20, P1087, DOI 10.1080/014311699212867
   El-Shamy I.Z., 1992, Desert Inst. Bull., V42, P271
   El-Zeiny A, 2022, EGYPT J REMOTE SENS, V25, P157, DOI 10.1016/j.ejrs.2022.01.009
   El-Zeiny A, 2017, EGYPT J REMOTE SENS, V20, P283, DOI 10.1016/j.ejrs.2016.11.009
   Elagouz MH, 2020, EGYPT J REMOTE SENS, V23, P57, DOI 10.1016/j.ejrs.2018.10.004
   Elewa HH, 2023, WATER-SUI, V15, DOI 10.3390/w15061118
   Elfadaly A, 2023, ARCHAEOL PROSPECT, V30, P369, DOI 10.1002/arp.1898
   Elnaggar AA, 2010, REMOTE SENS-BASEL, V2, P151, DOI 10.3390/rs2010151
   Environmental Systems Research Institute, 2020, ArcGIS 10.8
   Erban LE, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/8/084010
   Eslami S, 2021, COMMUN EARTH ENVIRON, V2, DOI 10.1038/s43247-021-00208-5
   Essink GHPO, 2010, WATER RESOUR RES, V46, DOI 10.1029/2009WR008719
   Fanchette S., 2022, Middle eastern cities in a time of climate crisis, P91, DOI [10.4000/books.cedej.8574, DOI 10.4000/BOOKS.CEDEJ.8574]
   Fatoric S, 2012, OCEAN COAST MANAGE, V60, P1, DOI 10.1016/j.ocecoaman.2011.12.015
   Feyisa GL, 2014, REMOTE SENS ENVIRON, V140, P23, DOI 10.1016/j.rse.2013.08.029
   Fouad SS, 2023, J HYDROL-REG STUD, V50, DOI 10.1016/j.ejrh.2023.101537
   Fouad SS, 2022, ECOL INDIC, V145, DOI 10.1016/j.ecolind.2022.109660
   Frazier PS, 2000, PHOTOGRAMM ENG REM S, V66, P1461
   FRIHY OE, 1988, J COASTAL RES, V4, P597
   FRIHY OE, 1991, COAST ENG, V15, P409, DOI 10.1016/0378-3839(91)90021-8
   Gamba P, 2003, INT J REMOTE SENS, V24, P827, DOI 10.1080/01431160210154001
   Gemail K, 2004, NEAR SURF GEOPHYS, V2, P103, DOI 10.3997/1873-0604.2004007
   Gemail KS, 2017, ENVIRON EARTH SCI, V76, DOI 10.1007/s12665-017-7013-y
   Gemail KS, 2017, ENVIRON EARTH SCI, V76, DOI 10.1007/s12665-017-6688-4
   Ghasemi A, 2023, NAT HAZARDS, V118, P1645, DOI 10.1007/s11069-023-06058-y
   Ghosh T, 2023, ONE EARTH, V6, P185, DOI 10.1016/j.oneear.2023.02.014
   Gorelick N, 2017, REMOTE SENS ENVIRON, V202, P18, DOI 10.1016/j.rse.2017.06.031
   Guariglia A, 2006, ANN GEOPHYS-ITALY, V49, P295
   Gyawali B, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14071565
   Hasan E, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13050953
   Himmelstoss A., 2018, DIGITAL SHORELINE AN, DOI [10.3133/ofr20181179, DOI 10.3133/OFR20181179]
   Hussein A.S, 2018, Egypt's Demographic Opportunity Preliminary Assessment Based on 2017. Census, P24
   Hzami A, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-020-77926-x
   Ibrahim A, 2023, SURV GEOPHYS, V44, P783, DOI 10.1007/s10712-022-09755-8
   Intergovernmental Panel on Climate Change (IPCC), 2023, Climate Change 2021The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel On Climate Change, DOI [10.1017/9781009325844.001, DOI 10.1017/9781009157940, 10.1017/9781009157896]
   Iskander MM, 2007, J ENVIRON MANAGE, V85, P1109, DOI 10.1016/j.jenvman.2006.11.018
   IUCN, 2011, The National Strategy for Mainstreaming Gender in Climate Change in Egypt
   Kamh S, 2012, INT J REMOTE SENS, V33, P41, DOI 10.1080/01431161.2010.550331
   Khalil MME, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12122175
   Khan NM, 2005, AGR WATER MANAGE, V77, P96, DOI 10.1016/j.agwat.2004.09.038
   Khawfany AA, 2017, ARAB J GEOSCI, V10, DOI 10.1007/s12517-017-2904-5
   Kouhgardi E, 2022, WATER-SUI, V14, DOI 10.3390/w14223593
   Lambin EF, 2001, GLOBAL ENVIRON CHANG, V11, P261, DOI [10.1016/S0959-3780(01)00007-3, 10.1146/annurev.energy.28.050302.105459]
   Landerer FW, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011453
   Liu H, 2004, INT J REMOTE SENS, V25, P937, DOI 10.1080/0143116031000139890
   Liu RJ, 2023, FRONT MAR SCI, V10, DOI 10.3389/fmars.2023.1008231
   Long JW, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL052180
   Lunetta R.S., 2004, REMOTE SENSING GIS A, DOI DOI 10.1201/9780203497586
   Mabrouk M.B., 2013, Hydrology and Earth System Sciences Discussions, V10, P10873, DOI [DOI 10.5194/HESSD-10-10873-2013, 10.5194/hessd-10-10873-2013]
   Magnan AK, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-14303-w
   Mas-Pla J, 2019, ENVIRON SCI POLLUT R, V26, P2184, DOI 10.1007/s11356-018-1859-8
   Mehrim AI, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15021679
   Mohamed A, 2020, J APPL GEOPHYS, V182, DOI 10.1016/j.jappgeo.2020.104177
   Morsy W.S., 2009, THESIS CAIRO U EGYPT
   Moubarak A.H., 2020, Integrated Geoenvironmental and Geotechnical Risk Assessment of East Port Said Region
   Nawar S, 2015, ARAB J GEOSCI, V8, P5127, DOI 10.1007/s12517-014-1580-y
   Neumann B, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0118571
   Nguyen KA, 2020, PROG EARTH PLANET SC, V7, DOI 10.1186/s40645-019-0311-0
   Nicholls RJ, 2010, SCIENCE, V328, P1517, DOI 10.1126/science.1185782
   Nikiel CA, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-24747-9
   Omran EE, 2017, J COAST CONSERV, V21, P849, DOI 10.1007/s11852-017-0546-0
   Othman AA, 2012, J ADV RES, V3, P99, DOI 10.1016/j.jare.2011.04.003
   Paravolidakis V, 2018, GEOSCIENCES, V8, DOI 10.3390/geosciences8110407
   Perkins Timothy, 2005, Proceedings of the SPIE - The International Society for Optical Engineering, V5979, p59790E, DOI 10.1117/12.626526
   Prayag AG, 2023, AGR WATER MANAGE, V279, DOI 10.1016/j.agwat.2023.108191
   Radwan TM, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11030332
   Rateb A, 2020, SCI TOTAL ENVIRON, V729, DOI 10.1016/j.scitotenv.2020.138868
   Rouse J.W., 1973, 3 ERTS S NASA, P309
   Sahoo S, 2018, ENVIRON EARTH SCI, V77, DOI 10.1007/s12665-018-7531-2
   Salem ZE, 2021, Groundwater in Egypt's Deserts, DOI [10.1007/978-3-030-77622-0_12, DOI 10.1007/978-3-030-77622-0_12]
   Shalaby A., 2012, Int J Environ Sci, V1, P253
   Shalaby A, 2007, APPL GEOGR, V27, P28, DOI 10.1016/j.apgeog.2006.09.004
   Shi SZ, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14122876
   Shrivastava P, 2015, SAUDI J BIOL SCI, V22, P123, DOI 10.1016/j.sjbs.2014.12.001
   Singh VK, 2023, PHYS CHEM EARTH, V129, DOI 10.1016/j.pce.2022.103297
   Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1
   Stanley J.D., 2017, GSA Today, V27, P4, DOI [DOI 10.1130/GSATG312A.1, 10.1130/GSATG312A.1]
   Syvitski JPM, 2007, GLOBAL PLANET CHANGE, V57, P261, DOI 10.1016/j.gloplacha.2006.12.001
   Syvitski JPM, 2009, NAT GEOSCI, V2, P681, DOI 10.1038/NGEO629
   Tariq A, 2023, GROUNDWATER SUST DEV, V23, DOI 10.1016/j.gsd.2023.100990
   Thieler E.R., 2009, U.S. Geological Survey Open-File Report 2008-1278, DOI [10.3133/ofr20081278, DOI 10.3133/OFR20081278]
   Tripathi N., 1997, P 18 AS C REM SENS K, P81
   USDA United States Salinity Laboratory, 1945, Agriculture Handbook, V60
   VANDEGRIEND AA, 1993, INT J REMOTE SENS, V14, P1119, DOI 10.1080/01431169308904400
   Viaña-Borja SP, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11182186
   Wilson EH, 2002, REMOTE SENS ENVIRON, V80, P385, DOI 10.1016/S0034-4257(01)00318-2
   Wolde Z, 2021, NAT RESOUR RES, V30, P2687, DOI 10.1007/s11053-021-09819-3
   Xiao H, 2021, ADV CLIM CHANG RES, V12, P342, DOI 10.1016/j.accre.2021.04.005
   Xu HQ, 2006, INT J REMOTE SENS, V27, P3025, DOI 10.1080/01431160600589179
   Youssef Y., 2022, FRONT SCI RES TECHNO, V4, P2682, DOI [10.21608/fsrt.2022.132752.1061, DOI 10.21608/FSRT.2022.132752.1061, 10.21608/FSRT.2022.132752.1061]
   Youssef Y.M., 2020, Earth Space Sci. Open Arch., V11, DOI [10.1002/essoar.10506623.1, DOI 10.1002/ESSOAR.10506623.1]
   Youssef YM, 2021, SURV GEOPHYS, V42, P1109, DOI 10.1007/s10712-021-09660-6
   Zha Y, 2003, INT J REMOTE SENS, V24, P583, DOI 10.1080/01431160304987
   Zhu Z, 2017, ISPRS J PHOTOGRAMM, V130, P370, DOI 10.1016/j.isprsjprs.2017.06.013
   ,, 2020, The state of food security and nutrition in the world 2020: transforming food systems for affordable healthy diets, DOI 10.4060/ca9692en
NR 145
TC 14
Z9 14
U1 4
U2 10
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD FEB 25
PY 2024
VL 913
AR 169690
DI 10.1016/j.scitotenv.2023.169690
EA JAN 2024
PG 27
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA GS3P0
UT WOS:001154625600001
PM 38163604
DA 2025-01-10
ER

PT J
AU Wagner, N
AF Wagner, Natalia
TI Inventive Activity for Climate Change Mitigation: An Insight into the
   Maritime Industry
SO ENERGIES
LA English
DT Article
DE climate change; maritime industry; ship propulsion; sustainability
   management; patent analysis; technology management
ID OF-THE-ART; INNOVATION; TECHNOLOGY; FUELS
AB Climate change mitigation is one of the most important challenges facing the modern world. It is necessary to monitor the development of new concepts and technologies and take a stab at identifying disruptive innovations, which have the potential of becoming real climate-friendly game changers. The aim of this paper is to examine the patterns of inventive activity aimed at mitigating climate change in the maritime industry with respect to other transport modes. Appropriate research tools in the area of patent analysis were selected and utilised. A new class of patents related to climate change in maritime transport (CPC-Y02T70/00) was used as a data source. The original value of the study consists of offering a complete picture of the efforts made in patenting activity in climate change mitigation in the maritime transport, with a look at leading applicants and countries, knowledge flows, the most robustly developed and underdeveloped technical fields. A map of technical knowledge flows for climate change mitigation in transport was constructed. The research results show that inventions for the maritime industry are less hermetic than those for air and road transport; however, they are not as much linked with previously developed solutions. The most intensively developed technical fields include the design and construction of watercraft hulls (1) and measures to reduce greenhouse gas emissions related to the propulsion system (2). Among the technologies whose further development merits close attention are solutions related to electrical propulsion and wave energy. At the same time, inventive activity in the area of climate change adaptation dedicated to ports is insignificant and definitely needs more support from the community of scientists and inventors. Building knowledge based on patent information can help universities, research institutions, shipyards, manufacturers of marine equipment and other business entities to identify the technologies of the greatest potential for further development.
C1 [Wagner, Natalia] Maritime Univ Szczecin, Fac Econ & Transport Engn, 11 Poboznego Str, PL-70507 Szczecin, Poland.
C3 Maritime University of Szczecin
RP Wagner, N (corresponding author), Maritime Univ Szczecin, Fac Econ & Transport Engn, 11 Poboznego Str, PL-70507 Szczecin, Poland.
EM n.wagner@pm.szczecin.pl
RI Wagner, Natalia/AAC-9656-2020
OI Wagner, Natalia/0000-0001-6898-4737
FU Maritime University of Szczecin, the research project
   [1/S/WIET/PUBL/2023]; Ministry of Education and Science in Poland
FX This research was funded by the Maritime University of Szczecin, the
   research project no.1/S/WIET/PUBL/2023, from a subsidy of the Ministry
   of Education and Science in Poland
CR Abbas A, 2014, WORLD PAT INF, V37, P3, DOI 10.1016/j.wpi.2013.12.006
   Abraham BP, 2001, TECHNOVATION, V21, P245, DOI 10.1016/S0166-4972(00)00040-7
   Adamowicz M, 2022, MAR POLICY, V145, DOI 10.1016/j.marpol.2022.105085
   Adamuthe AC, 2019, TECHNOL FORECAST SOC, V143, P181, DOI 10.1016/j.techfore.2019.03.002
   Al-Enazi A, 2021, ENERGY REP, V7, P1962, DOI 10.1016/j.egyr.2021.03.036
   Albino V, 2014, APPL ENERG, V135, P836, DOI 10.1016/j.apenergy.2014.08.012
   Altuntas S, 2015, TECHNOL FORECAST SOC, V96, P202, DOI 10.1016/j.techfore.2015.03.011
   Ampah JD, 2023, INT J HYDROGEN ENERG, V48, P37674, DOI 10.1016/j.ijhydene.2022.07.258
   Ampah JD, 2021, J CLEAN PROD, V320, DOI 10.1016/j.jclepro.2021.128871
   Angelucci S., 2018, World Patent Information, DOI DOI 10.1016/J.WPI.2017.04.006, Patent No. [54,S85-S92, 925485]
   [Anonymous], 2020, EPO Key Patenting Trends.
   [Anonymous], Cooperative Patent Classification
   [Anonymous], 2022, Review of maritime transport
   [Anonymous], 2015, J. Int. Stud, DOI DOI 10.14254/2071-8330.2015/8-2/9
   [Anonymous], 2023, E.u.r.o.Tec GmbH, Eurotec
   [Anonymous], About us
   Bach H, 2023, MAR POLICY, V147, DOI 10.1016/j.marpol.2022.105379
   Balcombe P, 2019, ENERG CONVERS MANAGE, V182, P72, DOI 10.1016/j.enconman.2018.12.080
   Bouman EA, 2017, TRANSPORT RES D-TR E, V52, P408, DOI 10.1016/j.trd.2017.03.022
   Bows-Larkin A, 2015, CLIM POLICY, V15, P681, DOI 10.1080/14693062.2014.965125
   Bullock S, 2022, CLIM POLICY, V22, P301, DOI 10.1080/14693062.2021.1991876
   Cappelli R, 2023, RES POLICY, V52, DOI 10.1016/j.respol.2023.104785
   Caviggioli F, 2023, TECHNOL FORECAST SOC, V188, DOI 10.1016/j.techfore.2022.122216
   Cetindamar D., 2016, Technology management: Activities and tools
   Chandy R, 2006, J MARKETING RES, V43, P494, DOI 10.1509/jmkr.43.3.494
   Chlomoudis C, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14020892
   Cho HH, 2023, SUSTAIN MATER TECHNO, V35, DOI 10.1016/j.susmat.2023.e00567
   Choudhary P, 2021, J ENVIRON MANAGE, V291, DOI 10.1016/j.jenvman.2021.112697
   Czermanski E, 2022, MAR POLICY, V145, DOI 10.1016/j.marpol.2022.105259
   Zarzuelo ID, 2020, J IND INF INTEGR, V20, DOI 10.1016/j.jii.2020.100173
   Dearing JW, 2018, HEALTH AFFAIR, V37, P183, DOI 10.1377/hlthaff.2017.1104
   Dechezlepretre A., 2020, Invention and Global Diffusion of Technologies for Climate Change Adaptation: A Patent Analysis
   Di Vaio A, 2021, MARIT POLICY MANAG, V48, P184, DOI 10.1080/03088839.2020.1754480
   DNV Energy Transition Outlook, 2023, Maritime Forecast to 2050 2023
   European Commission, 2018, The European Green Deal COM (2019) 640 final, DOI [10.2833/9937, DOI 10.2833/9937]
   Favot M, 2023, RESOUR CONS RECY ADV, V18, DOI 10.1016/j.rcradv.2023.200132
   Gans J, 2016, DISRUPTION DILEMMA, P1
   Ghaffari M, 2023, TECHNOL FORECAST SOC, V193, DOI 10.1016/j.techfore.2023.122576
   Ghisetti C, 2017, ECOL ECON, V132, P1, DOI 10.1016/j.ecolecon.2016.10.003
   Gong H, 2018, SCIENTOMETRICS, V117, P687, DOI 10.1007/s11192-018-2893-5
   Grzegorczyk Tomasz, 2020, Journal of High Technology Management Research, V31, DOI 10.1016/j.hitech.2020.100374
   Grzegorczyk T., 2020, J EC MANAGEMENT, V40, P36, DOI [10.22367/jem.2020.40.02, DOI 10.22367/JEM.2020.40.02]
   Higham K, 2022, TECHNOL FORECAST SOC, V179, DOI 10.1016/j.techfore.2022.121628
   Holgersson M, 2017, MANAGE DECIS, V55, P1265, DOI 10.1108/MD-04-2016-0233
   Hotte K, 2022, TECHNOL FORECAST SOC, V183, DOI 10.1016/j.techfore.2022.121879
   Hussin F, 2020, J CLEAN PROD, V253, DOI 10.1016/j.jclepro.2019.119707
   Ichimura Y, 2022, DIGIT BUS, V2, DOI 10.1016/j.digbus.2022.100022
   IMO, 2021, Fourth IMO Greenhouse Gas Study 2020
   IMO, 2021, Marks a Decade of Action Since IMO Adopted the First Set of Mandatory Energy Efficiency Measures for Ships
   IMO, 2023, 2023 IMO Strategy on Reduction of GHG Emissions from Ships
   ISL, 2022, Shipping Statistics and Market Review 2022, V66, P5
   Ivanova A., 2021, Transp Res Proc, V54, P793, DOI [10.1016/j.trpro.2021.02.132, DOI 10.1016/J.TRPRO.2021.02.132]
   Jeong Y, 2015, TECHNOVATION, V39-40, P37, DOI 10.1016/j.technovation.2014.03.001
   Joo SH, 2016, INT J TECHNOL MANAGE, V72, P19, DOI 10.1504/IJTM.2016.080543
   Jürgens B, 2018, WORLD PAT INF, V52, P9, DOI 10.1016/j.wpi.2018.01.001
   Khalil T., 2000, MANAGEMENT TECHNOLOG
   Kim G, 2017, TECHNOL FORECAST SOC, V117, P228, DOI 10.1016/j.techfore.2016.11.023
   Kim H, 2023, OCEAN ENG, V280, DOI 10.1016/j.oceaneng.2023.114827
   Klincewicz K, 2021, ROUTL STUD BUS ORGAN, P21
   Klincewicz K, 2019, PROBL ZARZ, V17, P53, DOI 10.7172/1644-9584.82.3
   Kyebambe MN, 2017, TECHNOL FORECAST SOC, V125, P236, DOI 10.1016/j.techfore.2017.08.002
   Lähteenmäki-Uutela A, 2019, CLEAN TECHNOL ENVIR, V21, P987, DOI 10.1007/s10098-019-01684-2
   Lane JP, 2010, IMPLEMENT SCI, V5, DOI 10.1186/1748-5908-5-9
   Lee S., 2013, Technology Roadmapping for Strategy and Innovation: Charting the Route to Success, P267, DOI [10.1007/978-3-642-33923-3, DOI 10.1007/978-3-642-33923-3]
   Li DY, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0252020
   Li TT, 2021, CLEAN ENG TECHNOL, V5, DOI 10.1016/j.clet.2021.100317
   LI-HU L., 2006, J TECHNOLOGY MANAGEM, V1, P9, DOI DOI 10.1108/17468770610642731
   Losacker S, 2023, IND INNOV, V30, P531, DOI 10.1080/13662716.2022.2071237
   Luan FS, 2024, EUR J INNOV MANAG, V27, P1403, DOI 10.1108/EJIM-01-2022-0054
   Moed HF, 2005, ISSI 2005: Proceedings of the 10th International Conference of the International Society for Scientometrics and Informetrics, Vols 1 and 2, P437, DOI 10.1007/1-4020-3714-7
   Monios J, 2020, MARIT POLICY MANAG, V47, P853, DOI 10.1080/03088839.2020.1752947
   Nagy D, 2016, IND MARKET MANAG, V57, P119, DOI 10.1016/j.indmarman.2015.11.017
   Naik BKR, 2022, INT ICE CONF ENG, DOI 10.1109/ICE/ITMC-IAMOT55089.2022.10033198
   No HJ, 2015, TECHNOL FORECAST SOC, V97, P181, DOI 10.1016/j.techfore.2014.04.007
   OECD, 2009, OECD PAT STAT MAN, DOI [10.1787/9789264056442-en, DOI 10.1787/9789264056442-EN]
   Popp D, 2019, INT REV ENVIRON RESO, V13, P265, DOI 10.1561/101.00000111
   Qiu ZP, 2023, COMPUT IND, V145, DOI 10.1016/j.compind.2022.103829
   Repsol, 2023, Repsol Technology Lab: Industry
   Rodrigue J.P., 2020, The geography of transport systems
   Rogers E.M., 2003, Diffusion of Innovations, V5th
   Rongying Zhao, 2020, Smart Trends in Computing and Communications. Proceedings of SmartCom 2019. Smart Innovation, Systems and Technologies (SIST 165), P123, DOI 10.1007/978-981-15-0077-0_14
   Sahin I., 2006, The Turkish Online Journal of Educational Technology, V5, P14
   Sinigaglia T, 2022, WORLD PAT INF, V71, DOI 10.1016/j.wpi.2022.102152
   Sinigaglia T, 2022, APPL ENERG, V306, DOI 10.1016/j.apenergy.2021.118003
   Song MJ, 2023, TRANSPORTATION, V50, P2111, DOI 10.1007/s11116-022-10303-x
   Stek P.E., 2020, Quality and Quantity, V54, P279, DOI DOI 10.1007/S11135-019-00874-W
   Stopford M., 2020, Three Maritime Scenarios 20202050.
   Su HN, 2017, TECHNOL FORECAST SOC, V122, P49, DOI 10.1016/j.techfore.2017.04.017
   Sullivan BP, 2020, PROCEDIA MANUF, V42, P246, DOI 10.1016/j.promfg.2020.02.078
   Sun MH, 2023, ENERGIES, V16, DOI 10.3390/en16062566
   Surer MG, 2022, INT J HYDROGEN ENERG, V47, P19865, DOI 10.1016/j.ijhydene.2021.12.251
   Tseng FM, 2023, WORLD PAT INF, V75, DOI 10.1016/j.wpi.2023.102236
   United Nations, UN Sustainable Development Goals, DOI 10.1017/9781009106559
   United States Department of State, 2021, LONG TERM STRAT US P
   Veefkind V, 2012, WORLD PAT INF, V34, P106, DOI 10.1016/j.wpi.2011.12.004
   Vinokurova N, 2020, STRATEGIC MANAGE J, V41, P2372, DOI 10.1002/smj.3209
   Wagner N, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141912475
   Wagner N, 2019, SPR PROC BUS ECON, P323, DOI 10.1007/978-3-030-17743-0_27
   Wang XY, 2022, ENVIRON SCI POLLUT R, V29, P8393, DOI 10.1007/s11356-021-16208-z
   Watts RJ, 1997, TECHNOL FORECAST SOC, V56, P25, DOI 10.1016/S0040-1625(97)00050-4
   Wisnicki B, 2024, INNOVATION-ABINGDON, V37, P582, DOI 10.1080/13511610.2021.1937071
   World Intellectual Property Organization, ABOUT US
   Xu L, 2021, ENERG ECON, V99, DOI 10.1016/j.eneco.2021.105269
   Yanez M, 2010, TECHNOVATION, V30, P389, DOI 10.1016/j.technovation.2010.03.007
   Yu YS, 2021, ENERG ENVIRON SCI, V14, P5611, DOI 10.1039/d1ee02093e
   Yuan XD, 2021, TECHNOL FORECAST SOC, V166, DOI 10.1016/j.techfore.2021.120651
   Zanella G, 2023, IEEE T ENG MANAGE, V70, P1991, DOI 10.1109/TEM.2021.3074310
   Zheng XH, 2020, J CLEAN PROD, V276, DOI 10.1016/j.jclepro.2020.124232
NR 108
TC 0
Z9 0
U1 7
U2 23
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1996-1073
J9 ENERGIES
JI Energies
PD NOV
PY 2023
VL 16
IS 21
AR 7403
DI 10.3390/en16217403
PG 23
WC Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Energy & Fuels
GA X7WH8
UT WOS:001100502600001
OA gold
DA 2025-01-10
ER

PT J
AU Liu, JD
   Dong, H
   Li, MM
   Wu, Y
   Zhang, CL
   Chen, JJ
   Yang, Z
   Lin, GZ
   Liu, DL
   Yang, J
AF Liu, Jiangdong
   Dong, Hang
   Li, Mengmeng
   Wu, Ying
   Zhang, Chunlin
   Chen, Jinjian
   Yang, Zhou
   Lin, Guozhen
   Liu, De Li
   Yang, Jun
TI Projecting the excess mortality due to heatwave and its characteristics
   under climate change, population and adaptation scenarios
SO INTERNATIONAL JOURNAL OF HYGIENE AND ENVIRONMENTAL HEALTH
LA English
DT Article
DE Climate change; Heatwave; Heat wave characteristics; Mortality;
   Adaptation
ID WAVES; IMPACT; TEMPERATURE; MODIFIERS; CITIES; DEATH; CHINA; RISK
AB Background: Heatwaves have significant adverse effects on human health. The frequency, duration, and intensity of heatwaves are projected to increase dramatically, in the context of global warming. However, there are few comprehensive assessments of the health impact of heatwaves considering different definitions, and their characteristics under climate change scenarios.Objective: We aimed to compare future excess mortality related to heatwaves among different definitions under climate change, population, and adaptation scenarios in China and further explore the mortality burden asso-ciated with heatwave characteristics. Methods: Daily data during 2010-2019 were collected in Guangzhou, China. We adopted nine common heatwave definitions and applied quasi-Poisson models to estimate the effects of heatwaves and their characteristics' impact on mortality. We then projected the excess mortality associated with heatwaves and their characteristics concerning climate change, population, and adaptation scenarios.Results: The relative risks of the nine common heatwave definitions ranged from 1.05 (95% CI: 1.01, 1.10) to 1.24 (95% CI: 1.13, 1.35). Heatwave-related excess mortality will consistently increase in the future decades considering multiple heatwave definitions, with more rapidly increasing rates under the Shared Socioeconomic Path5-8.5 and non-adaptability scenarios. Regarding heatwave characteristics, the intensity is the main factor involved in the threat of heatwaves. The increasing trend of characteristic-related mortality burden is similar to that of heatwaves, and the mortality burden caused by the duration of the heatwaves was the largest among all characteristics.Conclusions: This study provides a comprehensive picture of the impact of heatwaves and their characteristics on public health under various climate change scenarios, population changes, and adaptive assumptions. The results may provide important public health implications for policymakers in planning climate change adaptation and mitigation policies, and implementing specific plans.
C1 [Liu, Jiangdong] Fudan Univ, Sch Publ Hlth, Key Lab Publ Hlth Safety, Minist Educ, Shanghai 200032, Peoples R China.
   [Liu, Jiangdong] Fudan Univ, NHC Key Lab Hlth Technol Assessment, Shanghai 200032, Peoples R China.
   [Dong, Hang; Lin, Guozhen] Guangzhou Ctr Dis Control & Prevent, Guangzhou 510440, Peoples R China.
   [Li, Mengmeng] Sun Yat Sen Univ Canc Ctr, Canc Prevent Ctr, Dept Epidemiol, State Key Lab Oncol Southern China, Guangzhou 510060, Peoples R China.
   [Wu, Ying; Chen, Jinjian; Yang, Zhou] Southern Med Univ, Sch Publ Hlth, Dept Biostat, Guangzhou 510515, Peoples R China.
   [Zhang, Chunlin] Jinan Univ, Inst Environm & Climate Res, Guangzhou 511443, Peoples R China.
   [Liu, De Li] Wagga Wagga Agr Inst, NSW Dept Primary Ind, Wagga Wagga, NSW 2650, Australia.
   [Liu, De Li] Univ New South Wales, Climate Change Res Ctr, Sydney, NSW 2052, Australia.
   [Yang, Jun] Guangzhou Med Univ, Sch Publ Hlth, Guangzhou 511436, Peoples R China.
C3 Fudan University; Fudan University; Sun Yat Sen University; State Key
   Lab Oncology South China; Southern Medical University - China; Jinan
   University; Department of Primary Industries & Regional Development NSW;
   University of New South Wales Sydney; Guangzhou Medical University
RP Lin, GZ (corresponding author), Guangzhou Ctr Dis Control & Prevent, Guangzhou 510440, Peoples R China.; Yang, J (corresponding author), Guangzhou Med Univ, Sch Publ Hlth, Guangzhou 511436, Peoples R China.
EM gzcdc_linguozhen@gz.gov.cn; yangjun_eci@jnu.edu.cn
RI , De Li Liu/Y-4656-2019; Yang, Zhou/H-3407-2011; Dong,
   Hang/AAV-4658-2021; lin, guo/ABB-3972-2020; Jinjian, Chen/ABC-7052-2020
OI Chen, Jinjian/0000-0002-1452-517X; Liu, De Li/0000-0003-2574-1908; Yang,
   Zhou/0000-0001-7091-1051
FU National Natural Science Foundation of China [82003552]; Guangdong Basic
   and Applied Basic Research Foundation [2020A1515011161]; Guangzhou
   Science and Technology Planning Project [202201011617]
FX Acknowledgements This work was supported by the National Natural Science
   Foundation of China (No. 82003552) , the Guangdong Basic and Applied
   Basic Research Foundation (No. 2020A1515011161) and Guangzhou Science
   and Technology Planning Project (No. 202201011617) .
CR Achim Amelie M, 2008, Cogn Neuropsychiatry, V13, P369, DOI 10.1080/13546800802299476
   Anderson GB, 2011, ENVIRON HEALTH PERSP, V119, P210, DOI 10.1289/ehp.1002313
   Armstrong BG, 2014, BMC MED RES METHODOL, V14, DOI 10.1186/1471-2288-14-122
   Barnett AG, 2012, ENVIRON RES, V112, P218, DOI 10.1016/j.envres.2011.12.010
   Barnett AG, 2007, EPIDEMIOLOGY, V18, P369, DOI 10.1097/01.ede.0000257515.34445.a0
   Chen F, 2017, ENVIRON POLLUT, V224, P326, DOI 10.1016/j.envpol.2017.02.012
   Chen HQ, 2022, LANCET REG HEALTH-W, V28, DOI 10.1016/j.lanwpc.2022.100582
   Chen RJ, 2018, BMJ-BRIT MED J, V363, DOI 10.1136/bmj.k4306
   Costello A, 2009, LANCET, V373, P1693, DOI 10.1016/S0140-6736(09)60929-6
   Díaz J, 2019, ENVIRON RES, V172, P475, DOI 10.1016/j.envres.2019.02.041
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   FROST DB, 1993, INT J BIOMETEOROL, V37, P46, DOI 10.1007/BF01212767
   Gasparrini A, 2010, STAT MED, V29, P2224, DOI 10.1002/sim.3940
   Guo YM, 2018, PLOS MED, V15, DOI 10.1371/journal.pmed.1002629
   Guo YM, 2017, ENVIRON HEALTH PERSP, V125, DOI 10.1289/EHP1026
   Guo YM, 2016, ENVIRON POLLUT, V208, P66, DOI 10.1016/j.envpol.2015.09.041
   Huber V, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac5dee
   Hundessa S, 2018, ENVIRON RES, V162, P203, DOI 10.1016/j.envres.2017.12.021
   Liu DL, 2012, CLIMATIC CHANGE, V115, P629, DOI 10.1007/s10584-012-0464-y
   Ma WJ, 2015, ENVIRON INT, V75, P103, DOI 10.1016/j.envint.2014.11.004
   McGregor G.R., 2015, Heatwaves and health: guidance on warning-system development
   O'Neill BC, 2016, GEOSCI MODEL DEV, V9, P3461, DOI 10.5194/gmd-9-3461-2016
   Patz JA, 2005, NATURE, V438, P310, DOI 10.1038/nature04188
   Peng RD, 2011, ENVIRON HEALTH PERSP, V119, P701, DOI 10.1289/ehp.1002430
   Perkins-Kirkpatrick SE, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-23085-z
   Richardson C., 1984, WGEN WEATHER GENERAT
   Robine JM, 2008, CR BIOL, V331, P171, DOI 10.1016/j.crvi.2007.12.001
   Sanderson M, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0180369
   Smoyer KE, 1998, INT J BIOMETEOROL, V42, P44, DOI 10.1007/s004840050082
   Son JY, 2012, ENVIRON HEALTH PERSP, V120, P566, DOI 10.1289/ehp.1103759
   Stocker, 2014, CLIMATE CHANGE 2013
   Sun ZY, 2020, INT J EPIDEMIOL, V49, P1813, DOI 10.1093/ije/dyaa104
   Trancoso R, 2020, SCI TOTAL ENVIRON, V742, DOI 10.1016/j.scitotenv.2020.140521
   van Vuuren DP, 2012, GLOBAL ENVIRON CHANG, V22, P21, DOI 10.1016/j.gloenvcha.2011.08.002
   Wang Y, 2018, ENVIRON RES, V161, P464, DOI 10.1016/j.envres.2017.11.049
   Yang J, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-21305-1
   Yang J, 2019, SCI TOTAL ENVIRON, V649, P695, DOI 10.1016/j.scitotenv.2018.08.332
   Yang J, 2013, BIOMED ENVIRON SCI, V26, P647, DOI 10.3967/0895-3988.2013.08.003
   Zeng WL, 2014, SCI TOTAL ENVIRON, V482, P214, DOI 10.1016/j.scitotenv.2014.02.049
   Zhao Q, 2018, ENVIRON HEALTH PERSP, V126, DOI [10.1289/EHP3062, 10.1289/ehp3062]
NR 40
TC 16
Z9 17
U1 22
U2 70
PU ELSEVIER GMBH
PI MUNICH
PA HACKERBRUCKE 6, 80335 MUNICH, GERMANY
SN 1438-4639
EI 1618-131X
J9 INT J HYG ENVIR HEAL
JI Int. J. Hyg. Environ. Health.
PD MAY
PY 2023
VL 250
AR 114157
DI 10.1016/j.ijheh.2023.114157
EA MAR 2023
PG 9
WC Public, Environmental & Occupational Health; Infectious Diseases
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Public, Environmental & Occupational Health; Infectious Diseases
GA D0XV5
UT WOS:000966050100001
PM 36989996
DA 2025-01-10
ER

PT J
AU Hao, X
   Ouyang, W
   Zhang, KH
   Wan, XY
   Cui, XT
   Zhu, WH
AF Hao, Xin
   Ouyang, Wei
   Zhang, Kehao
   Wan, Xinyue
   Cui, Xintong
   Zhu, Weihong
TI Enhanced release, export, and transport of diffuse nutrients from litter
   in forested watersheds with climate warming
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Forest litter decomposition; Nutrient transportation; Climate change;
   Diffuse pollution
ID DISSOLVED ORGANIC-MATTER; DECOMPOSITION; NITROGEN; QUALITY; MANAGEMENT;
   DYNAMICS; LIGNIN; LEGACY; CARBON; MODEL
AB Variations in litter decomposition and nutrient migration are constraints to accurately estimate watershed diffuse forest pollution under the combined effects of topographic heterogeneity and climate change. In this study, remote sensing data, decomposition and leaching experiments, and the Soil and Water Assessment Tool (SWAT) were used to quantify the release, export, and transport characteristics of diffuse nutrients from forest litter under two climate scenarios (the current climate condition [S1] and the future warming and drying climate condition [S2]), and the impacts on aquatic environment were identified. The annual litter decomposition was 27.80 x 10(6) t in S2, which was 1.39 times that of S1. Additionally, the annual litter nutrient release in S2 (C, N, and P was 8.65 x 10(6), 3.31 x 10(5), and 1.57 x 10(4) t, respectively) also increased by 31.16%-45.62% compared with that of S1. The spatial patterns of nutrient export showed that the annual exports of C, N, and Pin S1 were 109.77, 46.85, and 0.43 kg/ha, respectively. The annual nutrient export in S2 increased by 1.44 times, and S2 also had higher values of nutrient transport. In addition, variation trends of temperature and precipitation increased significantly with increasing altitude, which promoted differences in nutrient transport between S1 and S2 in the high-altitude areas. The response analysis of the diffuse nutrient in surface water also indicated that forest nutrient discharge load were critical factors affecting the aquatic environmental quality. This study indicated that climate warming accelerated litter decomposition and made litter a potential source of diffuse forest pollution, and watershed discharge load varied intensively with the terrestrial conditions. The combination of experiments and modeling can improve the accuracy of diffuse forest pollution simulation and provide valuable information for formulating watershed climate change adaptation strategies.
C1 [Hao, Xin; Ouyang, Wei; Zhang, Kehao; Wan, Xinyue; Cui, Xintong] Beijing Normal Univ, Sch Environm, State Key Lab Water Environm Simulat, Beijing 100875, Peoples R China.
   [Ouyang, Wei] Beijing Normal Univ, Adv interdisciplinary Inst Environm & Ecol, Zhuhai 519087, Peoples R China.
   [Zhu, Weihong] Yanbian Univ, Sch Geog & Ocean Sci, Key Lab Wetland Ecol Funct & Ecol Secur, Jilin 133000, Peoples R China.
C3 Beijing Normal University; Beijing Normal University; Yanbian University
RP Ouyang, W (corresponding author), Beijing Normal Univ, Sch Environm, State Key Lab Water Environm Simulat, Beijing 100875, Peoples R China.
EM wei@itc.nl
FU National Natural Science Foundation of China [41830643]; Yangtze River
   Scholars
FX This research was financially supported by the National Natural Science
   Foundation of China (Grant Nos. 41830643) and the funds of Yangtze River
   Scholars.
CR Ahirwal J, 2021, FOREST ECOL MANAG, V499, DOI 10.1016/j.foreco.2021.119612
   [Anonymous], 2013, 6702013 HJ
   [Anonymous], 2002, MINISTRY ENV PROTECT
   [Anonymous], 2013, 6662013 HJ
   [Anonymous], 2013, 6682013 HJ
   [Anonymous], 1999, 12101999 YT
   [Anonymous], 2007, 3462007 HJ T
   [Anonymous], 1999, 12671999 LYT
   Arnold JG, 1998, J AM WATER RESOUR AS, V34, P73, DOI 10.1111/j.1752-1688.1998.tb05961.x
   Austin AT, 2010, P NATL ACAD SCI USA, V107, P4618, DOI 10.1073/pnas.0909396107
   Basu NB, 2022, NAT GEOSCI, V15, P97, DOI 10.1038/s41561-021-00889-9
   Berg B., 1981, Ecological Bulletins, V33, P163
   BERG B, 1993, BIOGEOCHEMISTRY, V20, P127, DOI 10.1007/BF00000785
   Bhutiyani M.R., 2016, Climate change, glacier response, and vegetation dynamics in the Himalaya, P87
   Blanco JA, 2005, FOREST ECOL MANAG, V213, P209, DOI 10.1016/j.foreco.2005.03.042
   Bohara M, 2020, CATENA, V194, DOI 10.1016/j.catena.2020.104698
   Brödlin D, 2019, SOIL BIOL BIOCHEM, V128, P22, DOI 10.1016/j.soilbio.2018.10.001
   Busico G, 2021, WATER RESOUR MANAG, V35, P3617, DOI 10.1007/s11269-021-02907-2
   Campbell JL, 2000, BIOGEOCHEMISTRY, V49, P123, DOI 10.1023/A:1006383731753
   Clark F.E., 1981, TERRESTRIAL NITROGEN, P147
   Classen A.T., 2016, Ecosphere, V6, p1?21
   Dias ATC, 2017, J ECOL, V105, P1163, DOI 10.1111/1365-2745.12763
   Correa-Araneda F, 2020, AQUAT SCI, V82, DOI 10.1007/s00027-020-0701-9
   Fierer N, 2005, ECOLOGY, V86, P320, DOI 10.1890/04-1254
   Gao J, 2016, POL J ENVIRON STUD, V25, P1911, DOI 10.15244/pjoes/62822
   Gao Y, 2014, J HYDROL, V511, P692, DOI 10.1016/j.jhydrol.2014.02.005
   Ge X., 2013, Acta Ecologica Sinica, V33, P102, DOI DOI 10.1016/J.CHNAES.2013.01.006
   Hongve D, 2000, EUR J SOIL SCI, V51, P667, DOI 10.1046/j.1365-2389.2000.00339.x
   Kida M, 2019, ESTUAR COAST SHELF S, V223, P6, DOI 10.1016/j.ecss.2019.04.029
   Krishna MP, 2017, ENERGY ECOL ENVIRON, V2, P236, DOI 10.1007/s40974-017-0064-9
   Li JB, 2017, CLIM DYNAM, V48, P649, DOI 10.1007/s00382-016-3101-z
   Liu CJ, 2004, GLOBAL ECOL BIOGEOGR, V13, P105, DOI 10.1111/j.1466-882X.2004.00072.x
   Liu W.Y., 1990, J INTEGR PLANT BIOL, V08, P63
   Manzoni S, 2008, SCIENCE, V321, P684, DOI 10.1126/science.1159792
   Manzoni S, 2010, ECOL MONOGR, V80, P89, DOI 10.1890/09-0179.1
   Martínez A, 2014, FEMS MICROBIOL ECOL, V87, P257, DOI 10.1111/1574-6941.12221
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Mattsson T, 2009, SCI TOTAL ENVIRON, V407, P1967, DOI 10.1016/j.scitotenv.2008.11.014
   Matyssek R, 2012, ENVIRON POLLUT, V160, P57, DOI 10.1016/j.envpol.2011.07.007
   Michalzik B, 2001, BIOGEOCHEMISTRY, V52, P173, DOI 10.1023/A:1006441620810
   OLSON JS, 1963, ECOLOGY, V44, P322, DOI 10.2307/1932179
   Ouyang W, 2022, WATER RES, V209, DOI 10.1016/j.watres.2021.117948
   Ouyang W, 2020, SCI TOTAL ENVIRON, V701, DOI 10.1016/j.scitotenv.2019.134782
   Ouyang W, 2017, J SOIL SEDIMENT, V17, P1527, DOI 10.1007/s11368-017-1688-2
   Parton W, 2007, SCIENCE, V315, P940
   Pei GT, 2019, FOREST ECOL MANAG, V440, P61, DOI 10.1016/j.foreco.2019.03.001
   [彭少麟 Peng Shaolin], 2002, [生态学报, Acta Ecologica Sinica], V22, P1534
   Portillo-Estrada M, 2016, BIOGEOSCIENCES, V13, P1621, DOI 10.5194/bg-13-1621-2016
   Ryan KA, 2021, J GEOPHYS RES-BIOGEO, V126, DOI 10.1029/2021JG006281
   Sadro S, 2012, ARCT ANTARCT ALP RES, V44, P222, DOI 10.1657/1938-4246-44.2.222
   Sanches L, 2008, J GEOPHYS RES-BIOGEO, V113, DOI 10.1029/2007JG000593
   Sayer EJ, 2020, ADV ECOL RES, V62, P173, DOI 10.1016/bs.aecr.2020.01.002
   [宋新章 SONG XinZhang], 2008, [生态学报, Acta Ecologica Sinica], V28, P4414
   Seitzinger SP, 2005, GLOBAL BIOGEOCHEM CY, V19, DOI 10.1029/2005GB002606
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Shen Guang-rong, 2017, Yingyong Shengtai Xuebao, V28, P2452, DOI 10.13287/j.1001-9332.201708.026
   Singh KP, 1999, BIOL FERT SOILS, V29, P371, DOI 10.1007/s003740050567
   Tonin AM, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-10576-8
   Uselman SM, 2012, SOIL BIOL BIOCHEM, V54, P57, DOI 10.1016/j.soilbio.2012.03.021
   Uselman SM, 2009, ECOSYSTEMS, V12, P240, DOI 10.1007/s10021-008-9220-6
   Van Meter KJ, 2018, SCIENCE, V360, P427, DOI 10.1126/science.aar4462
   WALBRIDGE MR, 1991, ECOLOGY, V72, P2083, DOI 10.2307/1941561
   Wang PT, 2020, J HYDROL, V585, DOI 10.1016/j.jhydrol.2020.124833
   Wang YD, 2021, J HAZARD MATER, V416, DOI 10.1016/j.jhazmat.2021.125710
   Waring RH., 1985, Forest ecosystems: concepts and management
   Wieder WR, 2009, ECOLOGY, V90, P3333, DOI 10.1890/08-2294.1
   Wu Z, 2020, SCI TOTAL ENVIRON, V706, DOI 10.1016/j.scitotenv.2019.135746
   Yu SQ, 2019, ECOL EVOL, V9, P11344, DOI 10.1002/ece3.5635
   Yun XB, 2021, SCI TOTAL ENVIRON, V785, DOI 10.1016/j.scitotenv.2021.147322
   Zhang JH, 2021, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.618675
NR 70
TC 8
Z9 9
U1 14
U2 92
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD SEP 1
PY 2022
VL 837
AR 155897
DI 10.1016/j.scitotenv.2022.155897
EA MAY 2022
PG 11
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 1V4HW
UT WOS:000806053900008
PM 35569656
DA 2025-01-10
ER

PT J
AU Stephens, SA
   Paulik, R
   Reeve, G
   Wadhwa, S
   Popovich, B
   Shand, T
   Haughey, R
AF Stephens, Scott A.
   Paulik, Ryan
   Reeve, Glen
   Wadhwa, Sanjay
   Popovich, Ben
   Shand, Tom
   Haughey, Rebecca
TI Future Changes in Built Environment Risk to Coastal Flooding, Permanent
   Inundation and Coastal Erosion Hazards
SO JOURNAL OF MARINE SCIENCE AND ENGINEERING
LA English
DT Article
DE sea-level rise; coastal flooding; coastal erosion; climate change
   adaptation
ID SEA-LEVEL RISE; CLIMATE-CHANGE; TIPPING POINTS; TIDE; IMPACTS; STORMS;
   PROJECTIONS; THRESHOLDS; PATHWAYS; EXTREME
AB Sea-level rise will cause erosion of land, deeper and increasingly frequent flooding and will eventually permanently inundate low-elevation land, forcing the adaptation of seaside communities to avoid or reduce risk. To inform adaptation planning, we quantified the effects of incremental relative sea-level rise (RSLR) on exposed land area, number and replacement value of buildings within Tauranga Harbour, New Zealand. The assessment compared three coastal hazards: flooding, permanent inundation and erosion. Increasingly frequent coastal flooding will be the dominant trigger for adaptation in Tauranga. In the absence of adaptation, coastal flooding, recurring at least once every 5 years on average, will overtake erosion as the dominant coastal hazard after about 0.15-0.2 m RSLR, which is likely to occur between the years 2038-2062 in New Zealand and will rapidly escalate in frequency and consequence thereafter. Coastal erosion will remain the dominant hazard for the relatively-few properties on high-elevation coastal cliffs. It will take 0.8 m more RSLR for permanent inundation to reach similar impact thresholds to coastal flooding, in terms of the number and value of buildings exposed. For buildings currently within the mapped 1% annual exceedance probability (AEP) zone, the flooding frequency will transition to 20% AEP within 2-3 decades depending on the RSLR rate, requiring prior adaptive action. We also compared the performance of simple static-planar versus complex dynamic models for assessing coastal flooding exposure. Use of the static-planar model could result in sea level thresholds being reached 15-45 years earlier than planned for in this case. This is compelling evidence to use dynamic models to support adaptation planning.
C1 [Stephens, Scott A.; Paulik, Ryan; Reeve, Glen; Wadhwa, Sanjay; Popovich, Ben] Natl Inst Water & Atmospher Res, POB 11115, Hamilton 3251, New Zealand.
   [Shand, Tom; Haughey, Rebecca] Tonkin & Taylor Ltd, POB 317, Tauranga 3140, New Zealand.
C3 National Institute of Water & Atmospheric Research (NIWA) - New Zealand
RP Stephens, SA (corresponding author), Natl Inst Water & Atmospher Res, POB 11115, Hamilton 3251, New Zealand.
EM scott.stephens@niwa.co.nz; Ryan.Paulik@niwa.co.nz;
   Glen.Reeye@niwa.co.nz; Sanjay.Wadhwa@niwa.co.nz;
   Ben.Popoyich@niwa.co.nz; TShand@tonkintaylor.co.nz;
   RHaughey@tonkintaylor.co.nz
OI Paulik, Ryan/0000-0003-1147-6816; Stephens, Scott/0000-0002-6573-8757
FU New Zealand Ministry of Business, Innovation and Employment (MBIE)
   [3710440]; Strategic Science Investment Fund (National Institute of
   Water and Atmospheric Research) [CAVA2104]; Coastal Programme of the
   Resilience to Nature's Challenges Kia Manawaroa-Nga Akina o Te Ao Turoa
   [GNS-RNC040-Coastal]
FX The research was funded by the New Zealand Ministry of Business,
   Innovation and Employment (MBIE) under (a) the Natural Hazard Research
   Platform Climate Change Impacts on Weather-Related Hazards project
   3710440 and (b) Strategic Science Investment Fund (Project
   CAVA2104-National Institute of Water and Atmospheric Research). Writing
   of the paper was provided in part through the Coastal Programme of the
   Resilience to Nature's Challenges Kia Manawaroa-Nga Akina o Te Ao Turoa,
   contract GNS-RNC040-Coastal. The coastal erosion and coastal flood
   modelling was commissioned by partnership of Councils and the modelling
   studies were co-designed with Council staff: Western Bay of Plenty
   District Council (Tony Clough), Tauranga City Council (Campbell Larking)
   and Bay of Plenty Regional Council (Mark Ivamy and Peter Blackwood).
   Willem de Lange from University of Waikato and Mark Dickson from
   University of Auckland provided peer review on the modelling design and
   reporting.
CR [Anonymous], 1991, Resource Management Act 1991
   Arns A, 2017, SCI REP-UK, V7, DOI 10.1038/srep40171
   Ashton AD, 2011, MAR GEOL, V284, P217, DOI 10.1016/j.margeo.2011.01.007
   Baker R.F., 1991, KEARNS KERR SMITH 19
   Barnard PL, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-40742-z
   Barnett J, 2014, NAT CLIM CHANGE, V4, P1103, DOI 10.1038/NCLIMATE2383
   Bates PD, 2005, COAST ENG, V52, P793, DOI 10.1016/j.coastaleng.2005.06.001
   Befus KM, 2020, NAT CLIM CHANGE, V10, P946, DOI 10.1038/s41558-020-0874-1
   Bell R.G., 2017, MINISTRY ENV PUBLICA
   Bilskie MV, 2016, EARTHS FUTURE, V4, P177, DOI 10.1002/2015EF000347
   Breilh JF, 2013, NAT HAZARD EARTH SYS, V13, P1595, DOI 10.5194/nhess-13-1595-2013
   Brown S, 2018, EARTHS FUTURE, V6, P583, DOI 10.1002/2017EF000738
   Brown S, 2014, NAT CLIM CHANGE, V4, P752, DOI 10.1038/nclimate2344
   Bruun P., 1962, J WATERWAYS HARBORS, V88, P117, DOI DOI 10.1061/JWHEAU.0000252
   Church JA, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1137
   Cowell PJ, 2006, J COASTAL RES, V22, P232, DOI 10.2112/05A-0018.1
   Dahl KA, 2017, ELEMENTA-SCI ANTHROP, V5, DOI 10.1525/elementa.234
   Dawson RJ, 2009, CLIMATIC CHANGE, V95, P249, DOI 10.1007/s10584-008-9532-8
   de Almeida GAM, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011570
   de Lange WP, 2000, NEW ZEAL J MAR FRESH, V34, P419, DOI 10.1080/00288330.2000.9516945
   de Swart HE, 2009, ANNU REV FLUID MECH, V41, P203, DOI 10.1146/annurev.fluid.010908.165159
   Denys PH, 2020, J GEOPHYS RES-SOL EA, V125, DOI 10.1029/2019JB018055
   Didier D, 2019, J FLOOD RISK MANAG, V12, DOI 10.1111/jfr3.12505
   Ding Y, 2013, OCEAN ENG, V71, P74, DOI 10.1016/j.oceaneng.2013.01.015
   Ezer T, 2014, EARTHS FUTURE, V2, P362, DOI 10.1002/2014EF000252
   Gedan KB, 2011, CLIMATIC CHANGE, V106, P7, DOI 10.1007/s10584-010-0003-7
   Gibb J.G., 1997, REV MINIMUM SEA FLOO
   Gutierrez BT, 2011, J GEOPHYS RES-EARTH, V116, DOI [10.1029/2010JF001891, 10.1029/20101F001891]
   Haasnoot M, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/10/105008
   Haasnoot M, 2018, GLOBAL ENVIRON CHANG, V52, P273, DOI 10.1016/j.gloenvcha.2018.08.003
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   Hagen SC, 2012, TERR ATMOS OCEAN SCI, V23, P481, DOI 10.3319/TAO.2012.04.17.01(WMH)
   Hague B, 2019, J SO HEMISPH EARTH, V69, P252, DOI 10.1071/ES19024
   Haigh ID, 2017, SCI DATA, V4, DOI 10.1038/sdata.2017.100
   Haigh ID, 2016, SCI DATA, V3, DOI 10.1038/sdata.2016.107
   Hallegatte S, 2013, NAT CLIM CHANGE, V3, P802, DOI [10.1038/nclimate1979, 10.1038/NCLIMATE1979]
   Hinkel J, 2014, P NATL ACAD SCI USA, V111, P3292, DOI 10.1073/pnas.1222469111
   Hunter J, 2012, CLIMATIC CHANGE, V113, P239, DOI 10.1007/s10584-011-0332-1
   Hunter J, 2010, CLIMATIC CHANGE, V99, P331, DOI 10.1007/s10584-009-9671-6
   Jongman B, 2012, GLOBAL ENVIRON CHANG, V22, P823, DOI 10.1016/j.gloenvcha.2012.07.004
   Karegar MA, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-11544-y
   Keenan JM, 2020, CLIMATIC CHANGE, V162, P2043, DOI 10.1007/s10584-020-02734-1
   Kopp RE, 2014, EARTHS FUTURE, V2, P383, DOI 10.1002/2014EF000239
   Kulp SA, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12808-z
   Kumbier K, 2019, MAR FRESHWATER RES, V70, P781, DOI 10.1071/MF18239
   Kwadijk JCJ, 2010, WIRES CLIM CHANGE, V1, P729, DOI 10.1002/wcc.64
   Kwakkel JH, 2015, CLIMATIC CHANGE, V132, P373, DOI 10.1007/s10584-014-1210-4
   Lawrence J, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11020406
   Lawrence J, 2018, ENVIRON SCI POLICY, V82, P100, DOI 10.1016/j.envsci.2018.01.012
   Lawrence J, 2017, ENVIRON SCI POLICY, V68, P47, DOI 10.1016/j.envsci.2016.12.003
   Le Cozannet G, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-018-37017-4
   Lentz EE, 2016, NAT CLIM CHANGE, V6, P696, DOI [10.1038/NCLIMATE2957, 10.1038/nclimate2957]
   Mastrandrea M. D., Guidance Note for Lead Authors of the IPCC Fifth Assessment Report on Consistent Treatment of Uncertainties
   McGrath H, 2018, NAT HAZARDS, V93, P905, DOI 10.1007/s11069-018-3331-y
   McMichael C, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/abb398
   Merrifield MA, 2013, J GEOPHYS RES-OCEANS, V118, P2535, DOI 10.1002/jgrc.20173
   Minister of Conservation, 2010, NZ COAST POL STAT 20, P38
   Moftakhari HR, 2018, WATER RESOUR RES, V54, P4218, DOI 10.1029/2018WR022828
   Nicholls RJ, 2011, PHILOS T R SOC A, V369, P161, DOI [10.1098/rsta.2010.0291, 10.1098/rsta.2010.029]
   Paulik R, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12041513
   Ramirez JA, 2016, NAT HAZARDS, V82, P571, DOI 10.1007/s11069-016-2198-z
   Ray RD, 2016, EARTHS FUTURE, V4, P578, DOI 10.1002/2016EF000423
   Reeve G., 2019, 2018269HN NIWA BAY P, P127
   Rotzoll K, 2013, NAT CLIM CHANGE, V3, P477, DOI [10.1038/nclimate1725, 10.1038/NCLIMATE1725]
   Rueda A, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-05090-w
   Schmidt J, 2011, NAT HAZARDS, V58, P1169, DOI 10.1007/s11069-011-9721-z
   Seenath A, 2016, OCEAN COAST MANAGE, V120, P99, DOI 10.1016/j.ocecoaman.2015.11.019
   Shand T., 2015, P AUSTR COAST PORTS
   Statistics New Zealand, 2018, TAUR CIT 2018 CENS D
   Stephens S.A., 2017, NIWA CLIENT REPORT B
   Stephens SA, 2020, NAT HAZARD EARTH SYS, V20, P783, DOI 10.5194/nhess-20-783-2020
   Stephens SA, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aadf96
   Stephens SA, 2017, J MAR SCI ENG, V5, DOI 10.3390/jmse5030040
   Stephens SA, 2014, J ATMOS OCEAN TECH, V31, P2829, DOI 10.1175/JTECH-D-14-00027.1
   Storey B., 2020, INSURANCE RETREAT S
   Storlazzi C.D., 2013, FORECASTING IMPACT S, P83
   Sweet WV, 2014, EARTHS FUTURE, V2, P579, DOI 10.1002/2014EF000272
   Thiéblemont R, 2021, NAT HAZARD EARTH SYS, V21, P2257, DOI 10.5194/nhess-21-2257-2021
   Tonkin Taylor, 2019, 1001628V5 TONK TAYL
   TVNZ, TEL NZ 1 NEWS ONL 50
   van Maanen B, 2013, OCEAN DYNAM, V63, P1249, DOI 10.1007/s10236-013-0649-6
   Vitousek S, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-01362-7
   Vousdoukas MI, 2016, NAT HAZARD EARTH SYS, V16, P1841, DOI 10.5194/nhess-16-1841-2016
   Wahl T, 2018, J MAR SCI ENG, V6, DOI 10.3390/jmse6010019
   Walkden M, 2008, MAR GEOL, V251, P75, DOI 10.1016/j.margeo.2008.02.003
   Werners SE, 2013, CURR OPIN ENV SUST, V5, P334, DOI 10.1016/j.cosust.2013.06.005
NR 86
TC 9
Z9 9
U1 13
U2 74
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2077-1312
J9 J MAR SCI ENG
JI J. Mar. Sci. Eng.
PD SEP
PY 2021
VL 9
IS 9
AR 1011
DI 10.3390/jmse9091011
PG 20
WC Engineering, Marine; Engineering, Ocean; Oceanography
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Oceanography
GA UV5GL
UT WOS:000699506600001
OA gold
DA 2025-01-10
ER

PT J
AU Halbac-Cotoara-Zamfir, R
   Keesstra, S
   Kalantari, Z
AF Halbac-Cotoara-Zamfir, Rares
   Keesstra, Saskia
   Kalantari, Zahra
TI The impact of political, socio-economic and cultural factors on
   implementing environment friendly techniques for sustainable land
   management and climate change mitigation in Romania
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Environmental friendly techniques; Historical evolution; Political
   changes; Socio-economic measures; Romanian traditions
ID ROBINIA-PSEUDOACACIA; SOUTHERN ROMANIA; DOLJ COUNTY; SOIL; ECOSYSTEM;
   DEGRADATION; ADAPTATION; DABULENI; COLLAPSE; ARIDITY
AB Throughout the history of Romania, political decisions, socio-economic measures, and cultural (traditional) characters have affected the implementation of environment friendly techniques (EFTs) policies. In the context of this paper, EFTs can be defined as solutions for the use of land resources aiming the increasing of goods for meeting the changing human needs and with neutral or positive environmental impact. Changes in the political regime have always had a visible impact on the EFTs issue in Romania. EFTs has gone through several major phases. The political impact on EFTs implementation mainly affected sustainable land management (SLM) and to a small extent, at the end of the communist era and partly during the capitalist period, dimate change mitigation. Throughout history, the political factor has dominated and influenced the capacity of the EFTs implementation process in responding to socio-economic stimuli. In addition, quality of life, rural-urban and urban-rural migrations, poverty, education level, and climate change adaptation have had impacts on the status of EFTs according to governance and political reflections. The agrarian reforms from the last two centuries, based on socioeconomic demands, have strongly influenced the capacity to implement EFTs both positively and negatively. However, the cultural factor was least affected by political and socio-economic changes as a stability factor in ensuring continued implementation of the EFTs. Currently, there is a strong need to reconsider EFTs as sustainability tools for Romanian agriculture that can cope with climate change and sustainable land management (SLM) demands. This paper presents a brief history of EFTs in Romania and their benefits in achieving SLM equilibrium, describing the impacts of political decisions, socio-economic measures, and cultural features on implementing ETEs policies. (C) 2018 Elsevier B.V. All rights reserved.
C1 [Halbac-Cotoara-Zamfir, Rares] Politehn Univ Timioara, Dept Overland Commun Ways Fdn & Cadastral Survey, Ioan Curea 1A, Timisoara 300224, Romania.
   [Keesstra, Saskia] Wageningen Univ, Soil Phys & Land Management Grp, Droevendaalsesteeg 4, NL-6708 PB Wageningen, Netherlands.
   [Kalantari, Zahra] Stockholm Univ, Dept Phys Geog, SE-10691 Stockholm, Sweden.
C3 Universitatea Politehnica Timisoara; Wageningen University & Research;
   Stockholm University
RP Halbac-Cotoara-Zamfir, R (corresponding author), Politehn Univ Timioara, Dept Overland Commun Ways Fdn & Cadastral Survey, Ioan Curea 1A, Timisoara 300224, Romania.
EM raresh_81@yahoo.com
RI Kalantari, Zahra/ABI-7877-2022; keesstra, saskia/Z-5477-2019;
   Halbac-Cotoara-Zamfir, Rares/E-3429-2012
OI Kalantari, Zahra/0000-0002-7978-0040
CR Aceleanu M.I., 2015, THEOR APPL EC, V2, P123
   Achim E, 2012, PROCEDIA ENVIRON SCI, V14, P154, DOI 10.1016/j.proenv.2012.03.015
   Anders I, 2014, ADV GLOB CHANGE RES, V58, P17, DOI 10.1007/978-94-007-7960-0_2
   [Anonymous], 2015, FINAL REPORT HORIZON
   [Anonymous], GLOBAL TREND WATER R
   [Anonymous], ENV INFRASTRUCTURE R
   [Anonymous], 3 NATL REPORT IMPLEM
   [Anonymous], LIV LANDSC STRAT RES
   [Anonymous], 2007, Rom J Meteorology.
   [Anonymous], GEOJOURNAL
   [Anonymous], 2015, ADV ENVIRON BIOL
   Antipa G., 1910, DANUBE FLOOD PLAIN
   Antipa G., 1913, 3 MEMORIES IMPROVING
   Arbuckle JG Jr, 2015, ENVIRON BEHAV, V47, P205, DOI 10.1177/0013916513503832
   Arghius V, 2016, INT MULTI SCI GEOCO, P227
   Bakos V., 1968, FOREST MAGAZINE, V83, P469
   Balteanu D., 2013, P ROMANIAN ACAD S B, V15, P265
   Balteanu D., 2010, Romanian journal of geography, V54, P95
   Balteanu D., 2005, AN U BUCUREST, VLIV, P99
   Baltescu M., 1972, BARSEI COUNTRY
   Barbu C.M., 2015, ACAD J EC STUD, V1, P27
   Barot S, 2012, ECOL ENG, V45, P13, DOI 10.1016/j.ecoleng.2011.04.006
   Benedict M., 2006, GREEN INFRASTRUCTURE
   Bold I., 1973, FOREST MAGAZINE, V88, P422
   Borsje BW, 2011, ECOL ENG, V37, P113, DOI 10.1016/j.ecoleng.2010.11.027
   Botzan M., 1991, HYDROAMELIORATIVE VA
   Botzan M., 1994, BEGINNING HYDROTECHN
   Bucur S. I., 2016, PROTECTIVE FOREST BE, V13, P261
   Burner DM, 2005, AGROFOREST SYST, V65, P207, DOI 10.1007/s10457-005-0923-9
   Catrina I., 1983, FOREST MAGAZINE, V98, P170
   Cazacioc L., 2007, ROM J METEOROL, V9, P34
   Cazacu E., 1985, SURFACE DRAINAGE
   Cerdà A, 2018, PROG PHYS GEOG, V42, P202, DOI 10.1177/0309133318758521
   Chirita C., 1938, ICEF ANN 1, V4
   Chirita C. D., 1954, IMPROVEMENT SOIL CUL
   Ciuvaț A. L., 2013, Revista de Silvicultura și Cinegetica, V18, P76
   Cohen-Shacham E., 2016, Nature-based solutions to address societal challenges, DOI 10.2305/IUCN.CH.2016.13.en
   Costachescu C., 2010, WINDBREAKING FOREST
   Costea C., 1989, EC LEADERSHIP FOREST
   Cowan C., ENCA BFN WORKSH DEV
   Dan M. D., 2014, DANUBE FLOODPLAIN OS
   Dracea M., 1937, FOREST MAGAZINE, V2, P194
   Drobot R., 2013, HYDROTECHNICS, V58, P7
   Dudley N., 2010, Natural Solutions: Protected Areas Helping People Cope with Climate Change
   Eggermont H, 2015, GAIA, V24, P243, DOI 10.14512/gaia.24.4.9
   Falloon P, 2010, SCI TOTAL ENVIRON, V408, P5667, DOI 10.1016/j.scitotenv.2009.05.002
   Fraser EDG, 2009, GLOBAL ENVIRON CHANG, V19, P45, DOI 10.1016/j.gloenvcha.2008.11.001
   Frei C, 1998, GEOPHYS RES LETT, V25, P1431, DOI 10.1029/98GL51099
   Gavriletea MD, 2017, ECON RES-EKON ISTRAZ, V30, P761, DOI 10.1080/1331677X.2017.1314817
   Giurgiu V., 2005, RELATIONSHIP FORESTS
   Glover JL, 2014, INT J PROD ECON, V152, P102, DOI 10.1016/j.ijpe.2013.12.027
   Günal H, 2015, SUSTAINABILITY-BASEL, V7, P2161, DOI 10.3390/su7022161
   Halbac-Cotoara-Zamfir R., 2010, EFFICIENT TECHNICAL
   Ioja C. L., 2017, DRESD NEX C 17 19 MA
   Ioja CL, 2014, URBAN FOR URBAN GREE, V13, P704, DOI 10.1016/j.ufug.2014.07.002
   Ionescu Sisesti G., 1958, AGROTECHNICS
   Iordache C., 2009, Natura Montenegrina, V8, P173
   Jackson D.L., 2002, The farm as natural habitat
   Jones JAA, 1999, HYDROLOG SCI J, V44, P541, DOI 10.1080/02626669909492251
   Kalantari Z, 2018, CURR OPIN ENV SCI HL, V5, P73, DOI 10.1016/j.coesh.2018.06.003
   Kalantari Z, 2017, LAND DEGRAD DEV, V28, P2207, DOI 10.1002/ldr.2747
   KARL TR, 1993, J CLIMATE, V6, P1481, DOI 10.1175/1520-0442(1993)006<1481:DCVACN>2.0.CO;2
   Katz W. R., 1992, CLIMATIC CHANGE, V21, P289, DOI DOI 10.1007/BF00139728
   Keesstra S, 2018, SCI TOTAL ENVIRON, V610, P997, DOI 10.1016/j.scitotenv.2017.08.077
   Kreibich H, 2014, NAT CLIM CHANGE, V4, P303, DOI 10.1038/nclimate2182
   Kuemmerle T, 2009, REG ENVIRON CHANGE, V9, P1, DOI 10.1007/s10113-008-0050-z
   Lavorel S, 2015, GLOBAL CHANGE BIOL, V21, P12, DOI 10.1111/gcb.12689
   Lazarescu C., 1963, FOREST MAGAZINE, V78, P330
   Lehner B, 2006, CLIMATIC CHANGE, V75, P273, DOI 10.1007/s10584-006-6338-4
   Liquete C, 2015, ENVIRON SCI POLICY, V54, P268, DOI 10.1016/j.envsci.2015.07.009
   Lupe I., 1950, FOREST MAGAZINE, V65, P57
   Maes J, 2015, LANDSCAPE ECOL, V30, P517, DOI 10.1007/s10980-014-0083-2
   Maracine N., 2009, Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Horticulture, V66, P557
   Masselink RJH, 2017, CUAD INVESTIG GEOGR, V43, P19, DOI 10.18172/cig.3169
   Mazurski K R., 1991, Forum for Applied Research and Public Policy, V5, P39
   Motavalli P, 2013, INT SOIL WATER CONSE, V1, P1
   Nesshöver C, 2017, SCI TOTAL ENVIRON, V579, P1215, DOI 10.1016/j.scitotenv.2016.11.106
   Nesu I., 1999, FOREST BELTS FOR LAN
   Niculescu M, 2014, INT MULTI SCI GEOCO, P697
   Nuța S., 2005, Analele Institutul de Cercetari și Amenajari Silvice, V48, P161
   Palaghianu C., 2017, Reforesta, P54, DOI [10.21750/refor.4.05.44, DOI 10.21750/REFOR.4.05.44]
   Palaghianu C., 2015, AFFORESTATION
   Paltineanu C, 2007, THEOR APPL CLIMATOL, V90, P263, DOI 10.1007/s00704-007-0295-3
   Parsons AJ, 2015, EARTH SURF PROC LAND, V40, P1275, DOI 10.1002/esp.3714
   Pelin A., 1971, FOREST PROTECTION CU
   Popovici E. A., 2008, GEOGR MAG, V14-15, P123
   Pravalie R., 2013, STUDIA UBB GEOGR, V58, P179
   Rannow S, 2014, ADV GLOB CHANGE RES, V58, P1, DOI 10.1007/978-94-007-7960-0
   Comino JR, 2018, EARTH SURF PROC LAND, V43, P2193, DOI 10.1002/esp.4385
   Rodrigo-Comino J, 2018, J HYDROL, V556, P749, DOI 10.1016/j.jhydrol.2017.12.014
   Rodrigo-Comino J, 2017, J HYDROL HYDROMECH, V65, P402, DOI 10.1515/johh-2017-0022
   Rosler R., 1999, FOREST HIST ROMANIA, V28
   Rusescu D. R., 1907, ISSUE ARTIFICIAL AFF
   Rusescu D. R., 1904, DRAFT LAW FOREST REN
   Rusu M, 2015, CARPATH J EARTH ENV, V10, P91
   Sabau N. C., 1997, IMPACT HYDROAMELIORA
   Sabau V., 1946, EVOLUTION FORESTRY E
   Salvan F., 1996, LIFE VILLAGES BARSA
   Sandru I., 1980, TERRA, V12, P3
   Sava I., 1967, HYDROAMELIORATIONS
   Sotropa V., 1975, DISTRICT BORDERS NAS
   Stanescu V., 1983, FOREST MAGAZINE, V98, P185
   Stoenescu A. M., 2001, HIST COUP DETAT ROMA, pI
   Stoiculescu C. D., 2008, ECOLOGICAL RECONSTRU
   Stringer LC, 2014, LAND DEGRAD DEV, V25, P17, DOI 10.1002/ldr.2260
   Stringer LC, 2009, APPL GEOGR, V29, P77, DOI 10.1016/j.apgeog.2008.07.008
   Thorslund J, 2017, ECOL ENG, V108, P489, DOI 10.1016/j.ecoleng.2017.07.012
   Turnock D., 2007, GEOGRAPHICATIMISIENS, V16, P1
   Van Meurs W., 1999, Southeast Europe Review for Labour and Social Affairs, V2, P109
   Vasile AJ, 2017, LAND USE POLICY, V67, P288, DOI 10.1016/j.landusepol.2017.06.008
   Von Holle B, 2006, BIODIVERS CONSERV, V15, P2197, DOI 10.1007/s10531-004-6906-8
   Zaharia A., 2014, P 8 INT MAN C MAN CH
NR 112
TC 30
Z9 33
U1 0
U2 43
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD MAR 1
PY 2019
VL 654
BP 418
EP 429
DI 10.1016/j.scitotenv.2018.11.160
PG 12
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA HL3QE
UT WOS:000458630100042
PM 30447580
DA 2025-01-10
ER

PT J
AU Schuster, C
   Honold, J
   Lauf, S
   Lakes, T
AF Schuster, Christian
   Honold, Jasmin
   Lauf, Steffen
   Lakes, Tobia
TI Urban heat stress: novel survey suggests health and fitness as future
   avenue for research and adaptation strategies
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE individual heat stress; self-assessed health risk; socio-environmental
   survey; mortality; active travel; climate change adaptation; urban
   health
ID SELF-RATED HEALTH; CLIMATE-CHANGE; MORTALITY; VULNERABILITY;
   TEMPERATURE; RISK; DEATHS; BERLIN; CITY; EXPLORATION
AB Extreme heat has tremendous adverse effects on human health. Heat stress is expected to further increase due to urbanization, an aging population, and global warming. Previous research has identified correlations between extreme heat and mortality. However, the underlying physical, behavioral, environmental, and social risk factors remain largely unknown and comprehensive quantitative investigation on an individual level is lacking. We conducted a new cross-sectional household questionnaire survey to analyze individual heat impairment (self-assessed and reported symptoms) and a large set of potential risk factors in the city of Berlin, Germany. This unique dataset (n = 474) allows for the investigation of new relationships, especially between health/fitness and urban heat stress. Our analysis found previously undocumented associations, leading us to generate new hypotheses for future research: various health/fitness variables returned the strongest associations with individual heat stress. Our primary hypothesis is that age, the most commonly used risk factor, is outperformed by health/fitness as a dominant risk factor. Related variables seem to more accurately represent humans' cardiovascular capacity to handle elevated temperature. Among them, active travel was associated with reduced heat stress. We observed statistical associations for heat exposure regarding the individual living space but not for the neighborhood environment. Heat stress research should further investigate individual risk factors of heat stress using quantitative methodologies. It should focus more on health and fitness and systematically explore their role in adaptation strategies. The potential of health and fitness to reduce urban heat stress risk means that encouraging active travel could be an effective adaptation strategy. Through reduced CO2 emissions from urban transport, societies could reap double rewards by addressing two root causes of urban heat stress: population health and global warming.
C1 [Schuster, Christian; Lakes, Tobia] Humboldt Univ, Geog Dept, Unter Linden 6, D-10099 Berlin, Germany.
   [Schuster, Christian] North Rhine Westphalia State Environm Agcy, DE-45023 Essen, North Rhine Wes, Germany.
   [Honold, Jasmin] Humboldt Univ, Dept Psychol, Unter Linden 6, D-10099 Berlin, Germany.
   [Honold, Jasmin] German Inst Urban Affairs, Zimmerstr 13-15, D-10969 Berlin, Germany.
   [Lauf, Steffen] Tech Univ Berlin, Dept Landscape Architecture & Environm Planning, Str 17 Juni 145, D-10623 Berlin, Germany.
   [Lauf, Steffen] Stat Off Berlin Brandenburg, Alt Friedrichsfelde 60, D-10315 Berlin, Germany.
C3 Humboldt University of Berlin; Humboldt University of Berlin; Technical
   University of Berlin
RP Schuster, C (corresponding author), Humboldt Univ, Geog Dept, Unter Linden 6, D-10099 Berlin, Germany.; Schuster, C (corresponding author), North Rhine Westphalia State Environm Agcy, DE-45023 Essen, North Rhine Wes, Germany.
EM chr.schuster@gmail.com
RI ; Schuster, Christian/D-8089-2011
OI Lakes, Tobia/0000-0001-8443-7899; Schuster,
   Christian/0000-0001-6579-2350
FU German Research Foundation (DFG) [LA 2525/2-1, 595166]
FX The study was part of the Research Unit 1736 'Urban Climate and Heat
   Stress in mid-latitude cities in view of climate change'
   (www.UCaHS.org), funded by the German Research Foundation (DFG) (LA
   2525/2-1; 595166). The authors are very grateful to all survey
   participants for their commitment. We thank Juliane Schicketanz,
   Christine Wallis, and Sarah Osenberg for their contributions to survey
   organization and documentation. We thank the courier service Spinning
   Wheelz and many colleagues for helping to distribute the survey. Special
   thanks go to Max Schneider and Manfred Leiske for sharing their deep
   expertise in statistics. We thank several internal (UCaHS research unit)
   and external experts and colleagues for fruitful discussions.
CR [Anonymous], 2012, URBAN ADAPTATION CLI, DOI DOI 10.2800/41895
   Åström DO, 2011, MATURITAS, V69, P99, DOI 10.1016/j.maturitas.2011.03.008
   Bassuk SS, 2005, J APPL PHYSIOL, V99, P1193, DOI 10.1152/japplphysiol.00160.2005
   Bittner M, 2012, PUBLIC HLTH FORUM, V2, P25
   Chan EYY, 2012, J EPIDEMIOL COMMUN H, V66, P322, DOI 10.1136/jech.2008.085167
   Cohen S, 2015, PSYCHOSOM MED, V77, P959, DOI 10.1097/PSY.0000000000000232
   Creutzig F, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/4/044042
   de Nazelle A, 2011, ENVIRON INT, V37, P766, DOI 10.1016/j.envint.2011.02.003
   Dugord PA, 2014, COMPUT ENVIRON URBAN, V48, P86, DOI 10.1016/j.compenvurbsys.2014.07.005
   EEA, 2009, 52009 EEA
   Field A., 2013, DISCOVERING STAT USI, V4th ed.
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Grossmann K, 2012, DISP, V48, P56, DOI 10.1080/02513625.2012.776818
   Hajat S, 2007, OCCUP ENVIRON MED, V64, P93, DOI 10.1136/oem.2006.029017
   Hajat S, 2010, J EPIDEMIOL COMMUN H, V64, P753, DOI 10.1136/jech.2009.087999
   Harlan SL, 2006, SOC SCI MED, V63, P2847, DOI 10.1016/j.socscimed.2006.07.030
   Harlan SL, 2013, ENVIRON HEALTH PERSP, V121, P197, DOI 10.1289/ehp.1104625
   Harlan SL, 2011, CURR OPIN ENV SUST, V3, P126, DOI 10.1016/j.cosust.2011.01.001
   Hondula DM, 2012, ENVIRON HEALTH-GLOB, V11, DOI 10.1186/1476-069X-11-16
   Honold J, 2012, J ENVIRON PSYCHOL, V32, P305, DOI 10.1016/j.jenvp.2012.05.002
   Huang CR, 2013, ENVIRON HEALTH PERSP, V121, P415, DOI 10.1289/ehp.1206025
   Jylhä M, 2009, SOC SCI MED, V69, P307, DOI 10.1016/j.socscimed.2009.05.013
   Kenney WL, 2003, J APPL PHYSIOL, V95, P2598, DOI 10.1152/japplphysiol.00202.2003
   Kenny GP, 2010, CAN MED ASSOC J, V182, P1053, DOI 10.1503/cmaj.081050
   Kinney PL, 2008, ENVIRON SCI POLICY, V11, P87, DOI 10.1016/j.envsci.2007.08.001
   Leichenko RM, 2013, URBAN CLIM, V6, P82, DOI 10.1016/j.uclim.2013.09.001
   Lesnikowski AC, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/4/044009
   Mackett R., 2011, Transport, Physical Activity and Health: Present Knowledge and the Way Ahead
   Maheswaran H, 2015, SOC SCI MED, V136, P135, DOI 10.1016/j.socscimed.2015.05.026
   Medina-Ramón M, 2006, ENVIRON HEALTH PERSP, V114, P1331, DOI 10.1289/ehp.9074
   Miilunpalo S, 1997, J CLIN EPIDEMIOL, V50, P517, DOI 10.1016/S0895-4356(97)00045-0
   Milan BF, 2015, CURR OPIN ENV SUST, V14, P221, DOI 10.1016/j.cosust.2015.08.002
   MOSSEY JM, 1982, AM J PUBLIC HEALTH, V72, P800, DOI 10.2105/AJPH.72.8.800
   O'Neill MS, 2003, AM J EPIDEMIOL, V157, P1074, DOI 10.1093/aje/kwg096
   Reid CE, 2009, ENVIRON HEALTH PERSP, V117, P1730, DOI 10.1289/ehp.0900683
   Robine JM, 2012, MECH AGEING DEV, V133, P378, DOI 10.1016/j.mad.2012.04.004
   Romero-Lankao P, 2012, GLOBAL ENVIRON CHANG, V22, P670, DOI 10.1016/j.gloenvcha.2012.04.002
   Rosenthal JK, 2014, HEALTH PLACE, V30, P45, DOI 10.1016/j.healthplace.2014.07.014
   Scherer D, 2013, ERDE, V144, P238
   Schuster C, 2014, URBAN CLIM, V10, P134, DOI 10.1016/j.uclim.2014.10.008
   SenStadt Berlin, 2014, NAHV BERL 2014 2018
   Stafoggia M, 2006, EPIDEMIOLOGY, V17, P315, DOI 10.1097/01.ede.0000208477.36665.34
   Thomas F, 2014, ENVIRON SCI POLICY, V44, P271, DOI 10.1016/j.envsci.2014.08.011
   UCLA, 2017, R DAT AN EX ORD LOG
   Uejio CK, 2011, HEALTH PLACE, V17, P498, DOI 10.1016/j.healthplace.2010.12.005
   WANNAMETHEE G, 1991, INT J EPIDEMIOL, V20, P239, DOI 10.1093/ije/20.1.239
   Wilhelmi OV, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014021
   Wolf J, 2010, GLOBAL ENVIRON CHANG, V20, P44, DOI 10.1016/j.gloenvcha.2009.09.004
   Wolf T, 2014, INT J ENV RES PUB HE, V11, P6265, DOI 10.3390/ijerph110606265
   World Health Organization, 2002, A Physically Active Life through Everyday Transport with a Special Focus on Children and Older People and Examples and Approaches from Europe (No. EUR/02/5040803)
   Xu YH, 2013, J EPIDEMIOL COMMUN H, V67, P519, DOI 10.1136/jech-2012-201899
   Yardley J, 2011, GLOBAL ENVIRON CHANG, V21, P670, DOI 10.1016/j.gloenvcha.2010.11.010
NR 52
TC 45
Z9 46
U1 5
U2 35
PU IOP Publishing Ltd
PI BRISTOL
PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
SN 1748-9326
J9 ENVIRON RES LETT
JI Environ. Res. Lett.
PD APR
PY 2017
VL 12
IS 4
AR 044021
DI 10.1088/1748-9326/aa5f35
PG 10
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA FK9BC
UT WOS:000413804700001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Gunda, T
   Bazuin, JT
   Nay, J
   Yeung, KL
AF Gunda, T.
   Bazuin, J. T.
   Nay, J.
   Yeung, K. L.
TI Impact of seasonal forecast use on agricultural income in a system with
   varying crop costs and returns: an empirically-grounded simulation
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE weather forecasts; coupled natural and human systems; system dynamics
   model; laboratory in the field games; farmers; climate change
   adaptation; agriculture systems
ID CLIMATE-CHANGE; FARMING SYSTEMS; FOOD SECURITY; SUBSISTENCE FARMERS;
   ADAPTIVE CAPACITY; RISK-MANAGEMENT; WATER CYCLE; SRI-LANKA; ADAPTATION;
   SMALLHOLDER
AB Access to seasonal climate forecasts can benefit farmers by allowing them to make more informed decisions about their farming practices. However, it is unclear whether farmers realize these benefits when crop choices available to farmers have different and variable costs and returns; multiple countries have programs that incentivize production of certain crops while other crops are subject to market fluctuations. We hypothesize that the benefits of forecasts on farmer livelihoods will be moderated by the combined impact of differing crop economics and changing climate. Drawing upon methods and insights from both physical and social sciences, we develop a model of farmer decision-making to evaluate this hypothesis. The model dynamics are explored using empirical data from Sri Lanka; primary sources include survey and interview information as well as game-based experiments conducted with farmers in the field. Our simulations show that a farmer using seasonal forecasts has more diversified crop selections, which drive increases in average agricultural income. Increases in income are particularly notable under a drier climate scenario, when a farmer using seasonal forecasts is more likely to plant onions, a crop with higher possible returns. Our results indicate that, when water resources are scarce (i.e. drier climate scenario), farmer incomes could become stratified, potentially compounding existing disparities in farmers' financial and technical abilities to use forecasts to inform their crop selections. This analysis highlights that while programs that promote production of certain crops may ensure food security in the short-term, the long-term implications of these dynamics need careful evaluation.
C1 [Gunda, T.; Bazuin, J. T.] Vanderbilt Inst Energy & Environm, PMB 407702,2301 Vanderbilt Pl, Nashville, TN 37240 USA.
   [Gunda, T.] Dept Civil & Environm Engn, PMB 407702,2301 Vanderbilt Pl, Nashville, TN USA.
   [Nay, J.] Vanderbilt Univ, Sch Engn, PMB 351826,2301 Vanderbilt Pl, Nashville, TN 37235 USA.
   [Nay, J.] Vanderbilt Law Sch Program Law & Innovat, PMB 351826,2301 Vanderbilt Pl, Nashville, TN 37235 USA.
   [Yeung, K. L.] Univ North Florida, Dept Psychol, Bldg 51, Jacksonville, FL USA.
C3 Vanderbilt University; State University System of Florida; University of
   North Florida
RP Gunda, T (corresponding author), Vanderbilt Inst Energy & Environm, PMB 407702,2301 Vanderbilt Pl, Nashville, TN 37240 USA.; Gunda, T (corresponding author), Dept Civil & Environm Engn, PMB 407702,2301 Vanderbilt Pl, Nashville, TN USA.
EM tgunda@gmail.com
RI Gunda, Thushara/AAZ-1868-2020
OI Gunda, Thushara/0000-0003-1945-4064
FU National Science Foundation (NSF) [DGE-0909667]; NSF [EAR-1204685]; Curb
   Center for Art, Enterprise, and Public Policy; Vanderbilt University's
   Graduate School Dissertation Enhancement Grant; Directorate For
   Geosciences; Division Of Earth Sciences [1204685] Funding Source:
   National Science Foundation
FX This work is supported by the National Science Foundation (NSF) Graduate
   Research Fellowship Program under Grant No. DGE-0909667; NSF Grant No.
   EAR-1204685; a Public Scholar grant from the Curb Center for Art,
   Enterprise, and Public Policy; and Vanderbilt University's Graduate
   School Dissertation Enhancement Grant. These funding sources had no
   impact on research design, data interpretation, or in the writing of the
   report. We thank the National Building Research Organization for
   facilitating the games in the field, and specifically, the Climate
   Research Unit for conducting and sharing the System MHSurvey data. We
   thank Steinar Moen for modeling assistance and Practical Action of Sri
   Lanka for providing context for games conducted in Sri Lanka. Last but
   not least, we thank members of the Vanderbilt Institute of Energy and
   Environment and ADAPT-SL research group, including George Hornberger,
   Arielle Tozier de la Poterie, Heather Truelove, and Amanda Carrico for
   their feedback throughout this effort.
CR Abeynayaka A., 2007, Proceedings of the Peradeniya University Research Sessions, Sri Lanka, V12, P190
   Acosta-Michlik L, 2008, GLOBAL ENVIRON CHANG, V18, P554, DOI 10.1016/j.gloenvcha.2008.08.006
   Ahmad S, 2000, J COMPUT CIVIL ENG, V14, P190, DOI 10.1061/(ASCE)0887-3801(2000)14:3(190)
   Ash A, 2007, AUST J AGR RES, V58, P952, DOI 10.1071/AR06188
   Balaji V., 2014, 78 CCAFS CGIAR RES P
   Balbi S., 2009, 15 CAF U VEN DEP EC
   Berger T, 2001, AGR ECON-BLACKWELL, V25, P245, DOI 10.1111/j.1574-0862.2001.tb00205.x
   Berger T, 2014, J AGR ECON, V65, P323, DOI 10.1111/1477-9552.12045
   Berundharshani T., 2015, Proceedings from the 6th annual National Building Research Organization Symposium on Innovations for Resilient Environment, 22 December 2015, Colombo, Sri Lanka, P35
   Bharwani S, 2005, PHILOS T R SOC B, V360, P2183, DOI 10.1098/rstb.2005.1742
   Brewer J. D., 1992, Advancements in IIMI's research 1992: a selection of papers presented at the Internal Program Review., P25
   Brouwer C., 1985, IRRIGATION WATER MAN
   Burchfield E K, 2016, P 2016 WINT SIM C
   Castillo D, 2011, ECOL ECON, V70, P1609, DOI 10.1016/j.ecolecon.2011.05.011
   Choi HS, 2015, AGR SYST, V133, P177, DOI 10.1016/j.agsy.2014.10.007
   Crane TA, 2010, WEATHER CLIM SOC, V2, P44, DOI 10.1175/2009WCAS1006.1
   Davis KF, 2016, AMBIO, V45, P302, DOI 10.1007/s13280-015-0720-2
   Department of Agriculture, 2010, POCK BOOK AGR STAT S
   Department of Census and Statistics-Sri Lanka, 2012, SRI LANK 2012 CENS P
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   Eriyagama N, 2010, P NAT C WAT FOOD SEC, V2
   Esham M, 2013, MITIG ADAPT STRAT GL, V18, P535, DOI 10.1007/s11027-012-9374-6
   Everingham Y, 2008, CLIM RES, V36, P231, DOI 10.3354/cr00743
   Fader M, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/014046
   Falco S D, 2012, ENVIRON RESOUR ECON, V52, P457, DOI DOI 10.1007/s10640-011-9538-y
   Fum RM, 2010, ECON LETT, V107, P360, DOI 10.1016/j.econlet.2010.03.008
   Funk CC, 2009, FOOD SECUR, V1, P271, DOI 10.1007/s12571-009-0026-y
   Gourdji SM, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2012.2190
   Graeub BE, 2016, WORLD DEV, V87, P1, DOI 10.1016/j.worlddev.2015.05.012
   Grimm V, 2005, SCIENCE, V310, P987, DOI 10.1126/science.1116681
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Gunda T, 2016, INT J CLIMATOL, V36, P563, DOI 10.1002/joc.4365
   Hansen J., 2004, ROLE CLIMATE PERCEPT
   Hansen JW, 2011, EXP AGR, V47, P205, DOI 10.1017/S0014479710000876
   HEWAVISENTHI ACD, 1992, WATER INT, V17, P33, DOI 10.1080/02508069208686126
   Jain M, 2015, GLOBAL ENVIRON CHANG, V31, P98, DOI 10.1016/j.gloenvcha.2014.12.008
   Jones L., 2015, 113 CCAFS
   Kang MJ, 2011, J NEUROSCI, V31, P461, DOI 10.1523/JNEUROSCI.1583-10.2011
   Karali E, 2014, HUM ECOL, V42, P951, DOI 10.1007/s10745-014-9701-5
   Kühberger A, 2002, ORGAN BEHAV HUM DEC, V89, P1162, DOI 10.1016/S0749-5978(02)00021-3
   Lemos M.C., 2007, Sci. Publ. Pol, V34, P109, DOI 10.3152/030234207X190964
   Lin BB, 2011, BIOSCIENCE, V61, P183, DOI 10.1525/bio.2011.61.3.4
   Liu JG, 2007, SCIENCE, V317, P1513, DOI 10.1126/science.1144004
   Lobell DB, 2011, NAT CLIM CHANGE, V1, P42, DOI [10.1038/NCLIMATE1043, 10.1038/nclimate1043]
   Marshall NA, 2011, CLIMATIC CHANGE, V107, P511, DOI 10.1007/s10584-010-9962-y
   Mijatovic D, 2013, INT J AGR SUSTAIN, V11, P95, DOI 10.1080/14735903.2012.691221
   Morton JF, 2007, P NATL ACAD SCI USA, V104, P19680, DOI 10.1073/pnas.0701855104
   Muita RR, 2016, WIRES WATER, V3, P105, DOI 10.1002/wat2.1118
   Nay JJ, 2014, CLIM DEV, V6, P357, DOI 10.1080/17565529.2014.912196
   Pachauri R.K., 2014, CLIMATE CHANGE 2014
   Patt A, 2005, P NATL ACAD SCI USA, V102, P12623, DOI 10.1073/pnas.0506125102
   Patt A, 2002, GLOBAL ENVIRON CHANG, V12, P185, DOI 10.1016/S0959-3780(02)00013-4
   Peng SB, 2004, P NATL ACAD SCI USA, V101, P9971, DOI 10.1073/pnas.0403720101
   Pérez I, 2016, GLOBAL ENVIRON CHANG, V40, P82, DOI 10.1016/j.gloenvcha.2016.07.005
   Piya L, 2013, REG ENVIRON CHANGE, V13, P437, DOI 10.1007/s10113-012-0359-5
   Quiggin J, 2010, CAN J AGR ECON, V58, P531, DOI 10.1111/j.1744-7976.2010.01200.x
   Rathnayake J, 2016, COMMUNICATION
   Reardon T, 1996, WORLD DEV, V24, P901, DOI 10.1016/0305-750X(96)00009-5
   Reardon T, 2000, J AGR ECON, V51, P266, DOI 10.1111/j.1477-9552.2000.tb01228.x
   Roncoli C, 2006, CLIM RES, V33, P81, DOI 10.3354/cr033081
   Roudier P, 2014, CLIM RISK MANAG, V2, P42, DOI 10.1016/j.crm.2014.02.001
   Rykiel EJ, 1996, ECOL MODEL, V90, P229, DOI 10.1016/0304-3800(95)00152-2
   Sabater J, 2005, ARTIF INTELL REV, V24, P33, DOI 10.1007/s10462-004-0041-5
   Schmidhuber J, 2007, P NATL ACAD SCI USA, V104, P19703, DOI 10.1073/pnas.0701976104
   Senaratne A, 2011, 55 ANN NAT C AUSTR A
   Seo SNN, 2005, ENVIRON DEV ECON, V10, P581, DOI 10.1017/S1355770X05002044
   Skoufias E., 2011, The Poverty Impacts of Climate Change
   Sovacool BK, 2011, CLIM POLICY, V11, P1177, DOI 10.1080/14693062.2011.579315
   Suarez P., 2010, Towards forecast-based humanitarian decisions: Climate science to get from early warning to early action
   Thiruchelvam S., 2005, SRI LANKAN J AGR EC, V7, P1
   Thomas DSG, 2007, CLIMATIC CHANGE, V83, P301, DOI 10.1007/s10584-006-9205-4
   Truelove HB, 2015, GLOBAL ENVIRON CHANG, V31, P85, DOI 10.1016/j.gloenvcha.2014.12.010
   Unganai LS, 2013, CLIM DEV, V5, P139, DOI 10.1080/17565529.2013.801823
   Vervoort RW, 2016, WIRES WATER, V3, P127, DOI 10.1002/wat2.1121
   Vogel RM, 2015, WATER RESOUR RES, V51, P4409, DOI 10.1002/2015WR017049
   Warnasooriya A R, 2016, COMMUNICATION
   Weerakoon WMW, 2011, FIELD CROP RES, V121, P53, DOI 10.1016/j.fcr.2010.11.009
   Withange H, 2009, PUBLIC PERCEPTIONS C
   Wood SA, 2014, GLOBAL ENVIRON CHANG, V25, P163, DOI 10.1016/j.gloenvcha.2013.12.011
   Ziervogel G, 2005, AGR SYST, V83, P1, DOI 10.1016/j.agsy.2004.02.009
   Ziervogel Gina., 2010, Climate Change Adaptation in Africa Learning Paper Series
NR 81
TC 31
Z9 33
U1 1
U2 27
PU IOP PUBLISHING LTD
PI BRISTOL
PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
SN 1748-9326
J9 ENVIRON RES LETT
JI Environ. Res. Lett.
PD MAR
PY 2017
VL 12
IS 3
AR 034001
DI 10.1088/1748-9326/aa5ef7
PG 13
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA EN3MI
UT WOS:000395912200001
OA gold
DA 2025-01-10
ER

PT J
AU Walsh, CJ
   Booth, DB
   Burns, MJ
   Fletcher, TD
   Hale, RL
   Hoang, LN
   Livingston, G
   Rippy, MA
   Roy, AH
   Scoggins, M
   Wallace, A
AF Walsh, Christopher J.
   Booth, Derek B.
   Burns, Matthew J.
   Fletcher, Tim D.
   Hale, Rebecca L.
   Hoang, Lan N.
   Livingston, Grant
   Rippy, Megan A.
   Roy, Allison H.
   Scoggins, Mateo
   Wallace, Angela
TI Principles for urban stormwater management to protect stream ecosystems
SO FRESHWATER SCIENCE
LA English
DT Article
DE urban hydrology; management; stream protection; stream restoration
ID WATER MANAGEMENT; GREEN ROOFS; URBANIZATION; FLOW; DRAINAGE; CLIMATE;
   RUNOFF; RIVER; AUSTRALIA; SYSTEMS
AB Urban stormwater runoff is a critical source of degradation to stream ecosystems globally. Despite broad appreciation by stream ecologists of negative effects of stormwater runoff, stormwater management objectives still typically center on flood and pollution mitigation without an explicit focus on altered hydrology. Resulting management approaches are unlikely to protect the ecological structure and function of streams adequately. We present critical elements of stormwater management necessary for protecting stream ecosystems through 5 principles intended to be broadly applicable to all urban landscapes that drain to a receiving stream: 1) the ecosystems to be protected and a target ecological state should be explicitly identified; 2) the postdevelopment balance of evapotranspiration, stream flow, and infiltration should mimic the predevelopment balance, which typically requires keeping significant runoff volume from reaching the stream; 3) stormwater control measures (SCMs) should deliver flow regimes that mimic the predevelopment regime in quality and quantity; 4) SCMs should have capacity to store rain events for all storms that would not have produced widespread surface runoff in a predevelopment state, thereby avoiding increased frequency of disturbance to biota; and 5) SCMs should be applied to all impervious surfaces in the catchment of the target stream. These principles present a range of technical and social challenges. Existing infrastructural, institutional, or governance contexts often prevent application of the principles to the degree necessary to achieve effective protection or restoration, but significant potential exists for multiple co-benefits from SCM technologies (e.g., water supply and climate-change adaptation) that may remove barriers to implementation. Our set of ideal principles for stream protection is intended as a guide for innovators who seek to develop new approaches to stormwater management rather than accept seemingly insurmountable historical constraints, which guarantee future, ongoing degradation.
C1 [Walsh, Christopher J.; Burns, Matthew J.; Fletcher, Tim D.] Univ Melbourne, Sch Ecosyst & Forest Sci, 500 Yarra Blvd, Burnley, Vic 3121, Australia.
   [Booth, Derek B.] Univ Calif Santa Barbara, Bren Sch Environm Sci & Management, Santa Barbara, CA 93106 USA.
   [Hale, Rebecca L.] Univ Utah, Global Change & Sustainabil Ctr, Salt Lake City, UT 84112 USA.
   [Hoang, Lan N.] Univ Cambridge, Dept Engn, Ctr Sustainable Dev, Cambridge CB2 1PZ, England.
   [Livingston, Grant] Water Resources Engn, 233 Owens Hall, Corvallis, OR 97330 USA.
   [Rippy, Megan A.] Univ Calif Irvine, Henry Samueli Sch Engn, Dept Civil & Environm Engn, Irvine, CA 92697 USA.
   [Roy, Allison H.] Univ Massachusetts, US Geol Survey, Massachusetts Cooperat Fish & Wildlife Res Unit, Dept Environm Conservat, Amherst, MA 01003 USA.
   [Scoggins, Mateo] City Austin, Watershed Protect Dept, 505 Barton Springs Rd, Austin, TX 78704 USA.
   [Wallace, Angela] Toronto & Reg Conservat Author, 5 Shoreham Dr, Toronto, ON M3N 1S4, Canada.
C3 University of Melbourne; University of California System; University of
   California Santa Barbara; Utah System of Higher Education; University of
   Utah; University of Cambridge; University of California System;
   University of California Irvine; University of Massachusetts System;
   University of Massachusetts Amherst; United States Department of the
   Interior; United States Geological Survey
RP Walsh, CJ; Burns, MJ; Fletcher, TD (corresponding author), Univ Melbourne, Sch Ecosyst & Forest Sci, 500 Yarra Blvd, Burnley, Vic 3121, Australia.; Booth, DB (corresponding author), Univ Calif Santa Barbara, Bren Sch Environm Sci & Management, Santa Barbara, CA 93106 USA.; Hale, RL (corresponding author), Univ Utah, Global Change & Sustainabil Ctr, Salt Lake City, UT 84112 USA.; Hoang, LN (corresponding author), Univ Cambridge, Dept Engn, Ctr Sustainable Dev, Cambridge CB2 1PZ, England.; Livingston, G (corresponding author), Water Resources Engn, 233 Owens Hall, Corvallis, OR 97330 USA.; Rippy, MA (corresponding author), Univ Calif Irvine, Henry Samueli Sch Engn, Dept Civil & Environm Engn, Irvine, CA 92697 USA.; Roy, AH (corresponding author), Univ Massachusetts, US Geol Survey, Massachusetts Cooperat Fish & Wildlife Res Unit, Dept Environm Conservat, Amherst, MA 01003 USA.; Scoggins, M (corresponding author), City Austin, Watershed Protect Dept, 505 Barton Springs Rd, Austin, TX 78704 USA.; Wallace, A (corresponding author), Toronto & Reg Conservat Author, 5 Shoreham Dr, Toronto, ON M3N 1S4, Canada.
EM cwalsh@unimelb.edu.au; dbooth@bren.ucsb.edu;
   matthew.burns@unimelb.edu.au; timf@unimelb.edu.au;
   rebecca.l.hale@utah.edu; lnh04@cam.ac.uk; glivings@gmail.com;
   mrippy@uci.edu; aroy@eco.umass.edu; mateo.scoggins@austintexas.gov;
   awallace@trca.on.ca
RI Walsh, Christopher/B-2552-2009; Scoggins, Mateo/HFZ-9090-2022; Booth,
   Derek/B-6379-2014; Fletcher, Tim/AAB-8356-2019
OI Scoggins, Mateo/0000-0002-9543-5562; Rippy, Megan/0000-0002-0575-8342;
   Booth, Derek/0000-0002-5242-4089; Fletcher, Tim/0000-0001-8819-5567
FU US National Science Foundation (NSF) [DEB 1427007]; NSF Partnerships for
   International Research and Education [OISE-1243543]; NSF [EPSCoR IIA
   1208732]; UK Engineering and Physical Sciences Research Council
   [EP/K013661/1]; Melbourne Water, through the Melbourne Waterway Research
   Practice Partnership; Australian Research Council Future Fellowship
   [FT10010044]; Office Of Internatl Science &Engineering; Office Of The
   Director [1243543] Funding Source: National Science Foundation; Office
   Of The Director; Office of Integrative Activities [1208732] Funding
   Source: National Science Foundation
FX This paper arose from a discussion session at the 3rd Symposium on
   Urbanization and Stream Ecology in Portland, Oregon, in May 2014, which
   was funded in part by the US National Science Foundation (NSF) award DEB
   1427007. The authors acknowledge financial support from the NSF
   Partnerships for International Research and Education (OISE-1243543,
   MAR); NSF grant EPSCoR IIA 1208732 (RLH); the UK Engineering and
   Physical Sciences Research Council Grant EP/K013661/1 (LNH); Melbourne
   Water, through the Melbourne Waterway Research Practice Partnership
   (CJW, MJB, TDF); and Australian Research Council Future Fellowship
   (FT10010044, TDF). Any use of trade, firm, or product names is for
   descriptive purposes only and does not imply endorsement by the US
   Government.
CR [Anonymous], 965 COOP RES CTR CAT
   [Anonymous], SURF WAT DES MAN
   [Anonymous], N CAROLINA J LAW TEC
   [Anonymous], IMPACTS STORMWATER T
   [Anonymous], NOVATECH 2013
   [Anonymous], BLUEPRINT2012 STORMW
   [Anonymous], 2010, LOW IMP DEV STORMW M
   [Anonymous], P 6 AUSTR STREAM MAN
   [Anonymous], J ENV ENG
   [Anonymous], AG716 N CAR STAT U N
   [Anonymous], 1999, LOW IMP DEV DES STRA
   [Anonymous], 141 U MELB
   [Anonymous], URB STORMW MAN US
   [Anonymous], 9 INT C URB DRAIN GL
   [Anonymous], 2013, 8 INT C SUST TECHN S
   [Anonymous], URBAN WATER J
   [Anonymous], WATER AIR SOIL POLLU
   [Anonymous], 2011, 12 INT C URB DRAIN I
   [Anonymous], RAINF INT FREQ DUR D
   Arnell NW, 1999, GLOBAL ENVIRON CHANG, V9, pS31, DOI 10.1016/S0959-3780(99)00017-5
   Bhaskar AS, 2016, FRESHW SCI, V35, P293, DOI 10.1086/685084
   Bhaskar AS, 2012, ENVIRON ENG GEOSCI, V18, P37, DOI 10.2113/gseegeosci.18.1.37
   BOOTH DB, 1991, NORTHWEST ENVIRON J, V7, P93
   Booth DB, 2016, FRESHW SCI, V35, P412, DOI 10.1086/684940
   Bos DG, 2015, FRESHW SCI, V34, P1169, DOI 10.1086/682421
   Bos JJ, 2012, TECHNOL FORECAST SOC, V79, P1340, DOI 10.1016/j.techfore.2012.04.006
   Braaker S, 2014, ECOLOGY, V95, P1010, DOI 10.1890/13-0705.1
   Briers RA, 2014, CLEAN-SOIL AIR WATER, V42, P193, DOI 10.1002/clen.201300162
   Brown LR, 2009, J N AM BENTHOL SOC, V28, P1051, DOI 10.1899/08-153.1
   Brown RR, 2009, WATER SCI TECHNOL, V59, P847, DOI 10.2166/wst.2009.029
   Brown RR, 2009, WATER SCI TECHNOL, V59, P839, DOI 10.2166/wst.2009.028
   Brown RR, 2005, ENVIRON MANAGE, V36, P455, DOI 10.1007/s00267-004-0217-4
   Burns MJ, 2015, WIRES WATER, V2, P291, DOI 10.1002/wat2.1078
   Burns MJ, 2015, FRESHW SCI, V34, P1176, DOI 10.1086/682565
   Burns MJ, 2012, LANDSCAPE URBAN PLAN, V105, P230, DOI 10.1016/j.landurbplan.2011.12.012
   Chadwick MA, 2012, URBAN ECOSYST, V15, P347, DOI 10.1007/s11252-011-0217-0
   Cooper SD, 2013, HYDROBIOLOGIA, V719, P383, DOI 10.1007/s10750-012-1333-4
   Coutts AM, 2013, PROG PHYS GEOG, V37, P2, DOI 10.1177/0309133312461032
   Dearborn DC, 2010, CONSERV BIOL, V24, P432, DOI 10.1111/j.1523-1739.2009.01328.x
   DeBusk KM, 2011, J HYDROL ENG, V16, P274, DOI 10.1061/(ASCE)HE.1943-5584.0000315
   Doyle MW, 2011, ENVIRON SCI TECHNOL, V45, P354, DOI 10.1021/es101273f
   Elmore AJ, 2008, FRONT ECOL ENVIRON, V6, P308, DOI 10.1890/070101
   Fletcher TD, 2008, J ENVIRON QUAL, V37, pS116, DOI 10.2134/jeq2007.0411
   Foulquier A, 2009, HYDROL PROCESS, V23, P1701, DOI 10.1002/hyp.7305
   Fuller RA, 2007, BIOLOGY LETT, V3, P390, DOI 10.1098/rsbl.2007.0149
   Goddard MA, 2010, TRENDS ECOL EVOL, V25, P90, DOI 10.1016/j.tree.2009.07.016
   GRAF WL, 1977, WATER RESOUR RES, V13, P459, DOI 10.1029/WR013i002p00459
   Graham CB, 2010, J HYDROL, V393, P65, DOI 10.1016/j.jhydrol.2009.12.015
   Greenway M, 2010, J CONTEMP WAT RES ED, V146, P22, DOI 10.1111/j.1936-704X.2010.00389.x
   Groffman PM, 2003, FRONT ECOL ENVIRON, V1, P315, DOI 10.1890/1540-9295(2003)001[0315:DBTRUR]2.0.CO;2
   Hale RL, 2016, FRESHW SCI, V35, P421, DOI 10.1086/684594
   Hamel P., 2012, Proceedings of the 7th International Conference on Water Sensitive Urban Design, P137
   Hamel P, 2013, J HYDROL, V485, P201, DOI 10.1016/j.jhydrol.2013.01.001
   Hatt BE, 2009, WATER SCI TECHNOL, V59, P1567, DOI 10.2166/wst.2009.173
   Hawley RJ, 2016, FRESHW SCI, V35, P278, DOI 10.1086/684647
   Heyworth JS, 2006, INT J EPIDEMIOL, V35, P1051, DOI 10.1093/ije/dyl105
   Hilten RN, 2008, J HYDROL, V358, P288, DOI 10.1016/j.jhydrol.2008.06.010
   Horner R.R., 2001, Linking Stormwater BMP Designs and Performance to Receiving Water Impact Mitigation, P60
   Jackson CR, 2015, RIVER RES APPL, V31, P847, DOI 10.1002/rra.2783
   Jackson MJ, 2009, WATER QUAL RES J CAN, V44, P103, DOI 10.2166/wqrj.2009.011
   Jarvis NJ, 2007, EUR J SOIL SCI, V58, P523, DOI 10.1111/j.1365-2389.2007.00915.x
   Jones P, 2007, GEOFORUM, V38, P534, DOI 10.1016/j.geoforum.2006.10.005
   Kadas Gyongyver, 2006, Urban Habitats, V4, P66
   Karr JR, 1999, FRESHWATER BIOL, V41, P221, DOI 10.1046/j.1365-2427.1999.00427.x
   Karvonen Andrew., 2011, POLITICS URBAN RUNOF
   King RS, 2011, ECOL APPL, V21, P2833, DOI 10.1890/10-0882.1
   Konrad CP, 2005, AM FISH S S, V47, P157
   Liu G, 2013, ENVIRON EARTH SCI, V70, P3005, DOI 10.1007/s12665-013-2358-3
   Loughnan M, 2010, HEALTH PLACE, V16, P1287, DOI 10.1016/j.healthplace.2010.08.008
   Loughnan ME, 2010, INT J HEALTH GEOGR, V9, DOI 10.1186/1476-072X-9-41
   Madre F, 2014, LANDSCAPE URBAN PLAN, V122, P100, DOI 10.1016/j.landurbplan.2013.11.012
   Mankad A, 2012, ENVIRON INT, V44, P128, DOI 10.1016/j.envint.2012.01.002
   Martin P., 2000, Sustainable urban drainage systems: design manual for Scotland and Northern Ireland. C521
   McClain ME, 2003, ECOSYSTEMS, V6, P301, DOI 10.1007/s10021-003-0161-9
   MCCUEN RH, 1979, J HYDR ENG DIV-ASCE, V105, P1343
   Meyer JL, 2001, ECOLOGY: ACHIEVEMENT AND CHALLENGE, P295
   Mitchell VG, 2008, ENVIRON MODELL SOFTW, V23, P782, DOI 10.1016/j.envsoft.2007.09.006
   Morison PJ, 2010, J ENVIRON PLANN MAN, V53, P197, DOI 10.1080/09640560903529329
   Oberndorfer E, 2007, BIOSCIENCE, V57, P823, DOI 10.1641/B571005
   Palmer MA, 2005, J APPL ECOL, V42, P208, DOI 10.1111/j.1365-2664.2005.01004.x
   Palmer MA, 2014, ECOL ENG, V65, P62, DOI 10.1016/j.ecoleng.2013.07.059
   Parr TB, 2016, FRESHW SCI, V35, P436, DOI 10.1086/685030
   Paul MJ, 2001, ANNU REV ECOL SYST, V32, P333, DOI 10.1146/annurev.ecolsys.32.081501.114040
   Poff NL, 1997, BIOSCIENCE, V47, P769, DOI 10.2307/1313099
   Price K, 2011, PROG PHYS GEOG, V35, P465, DOI 10.1177/0309133311402714
   Prosser T, 2015, FRESHW SCI, V34, P1186, DOI 10.1086/682566
   Pusey BJ, 2003, MAR FRESHWATER RES, V54, P1, DOI 10.1071/MF02041
   Roseen RM, 2009, J ENVIRON ENG, V135, P128, DOI 10.1061/(ASCE)0733-9372(2009)135:3(128)
   Roy AH, 2008, ENVIRON MANAGE, V42, P344, DOI 10.1007/s00267-008-9119-1
   Roy AH, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0085011
   Roy AH, 2009, J N AM BENTHOL SOC, V28, P911, DOI 10.1899/08-178.1
   Roy JW, 2012, ENVIRON SCI TECHNOL, V46, P729, DOI 10.1021/es2034137
   Schueler T.B., 1987, Controlling Urban Runoff: A Practical Maual for Planning and Designing Urban BMPs
   Smakhtin VU, 2001, J HYDROL, V240, P147, DOI 10.1016/S0022-1694(00)00340-1
   Smith RF, 2016, FRESHW SCI, V35, P364, DOI 10.1086/685096
   Steward AL, 2012, FRONT ECOL ENVIRON, V10, P202, DOI 10.1890/110136
   TANAKA T, 1988, J HYDROL, V102, P139, DOI 10.1016/0022-1694(88)90095-9
   Taylor GD, 2005, WATER RES, V39, P1982, DOI 10.1016/j.watres.2005.03.022
   van den Berg AE, 2010, SOC SCI MED, V70, P1203, DOI 10.1016/j.socscimed.2010.01.002
   Vörösmarty CJ, 2010, NATURE, V467, P555, DOI 10.1038/nature09440
   VSC, 1999, Urban Stormwater: Best Practice Environmental Management Guidelines
   Wagner MM, 2008, SOC NATUR RESOUR, V21, P908, DOI 10.1080/08941920802183339
   Walsh CJ, 2016, FRESHW SCI, V35, P324, DOI 10.1086/685105
   Walsh CJ, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0045814
   Walsh CJ, 2009, J N AM BENTHOL SOC, V28, P977, DOI 10.1899/08-161.1
   Walsh CJ, 2005, J N AM BENTHOL SOC, V24, P706, DOI 10.1899/04-028.1
   Weiss P.T., 2008, CONTAMINATION SOIL G
   Whelans C., 1994, Planning and management guidelines for water sensitive urban (residential) design
   White JG, 2005, LANDSCAPE URBAN PLAN, V71, P123, DOI 10.1016/j.landurbplan.2004.02.006
   Woods-Ballard B., 2007, The SUDS Manual, V697, DOI DOI 10.1080/03736245.2014.924867
   Zhang L, 2001, WATER RESOUR RES, V37, P701, DOI 10.1029/2000WR900325
NR 111
TC 131
Z9 162
U1 3
U2 384
PU UNIV CHICAGO PRESS
PI CHICAGO
PA 1427 E 60TH ST, CHICAGO, IL 60637-2954 USA
SN 2161-9549
EI 2161-9565
J9 FRESHW SCI
JI Freshw. Sci.
PD MAR
PY 2016
VL 35
IS 1
BP 398
EP 411
DI 10.1086/685284
PG 14
WC Ecology; Marine & Freshwater Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Marine & Freshwater Biology
GA DE9XS
UT WOS:000370993800031
DA 2025-01-10
ER

PT J
AU Becker, AH
   Matson, P
   Fischer, M
   Mastrandrea, MD
AF Becker, Austin Howard
   Matson, Pamela
   Fischer, Martin
   Mastrandrea, Michael D.
TI Towards seaport resilience for climate change adaptation: Stakeholder
   perceptions of hurricane impacts in Gulfport (MS) and Providence (RI)
SO PROGRESS IN PLANNING
LA English
DT Article
DE Climate change; Adaptation; Resilience; Disasters; Seaports; Stakeholder
   analysis; Impact assessment
ID SEA-LEVEL RISE; DECISION-MAKING; NATURAL HAZARDS; SURGE THREAT;
   VULNERABILITY; PREFERENCES; STRATEGIES; MANAGEMENT; FRAMEWORK; WEATHER
AB A growing body of research indicates that climate change is having and will continue to have a range of negative impacts on social environmental systems. Reducing the vulnerability and increasing the resilience of these systems has thus becomes a focus of research, disaster planning, and policy-making. Seaports, located in environmentally sensitive, high-risk locations, are particularly vulnerable to severe storms and the increased sea levels resulting from such climate changes. Planning and policy making for seaports must therefore consider the human factor, that is the population potentially vulnerable to climate change induced events and also the complex network of stakeholders that depend on their functionality. An increasing body of literature suggests that, for planners to be effective in increasing resiliency of social-environmental systems to climate change-related events and other hazards, they must understand and incorporate the perceptions and concerns of the stakeholders in their assessment and planning processes. This study uses empirical evidence collected through case studies of two particularly exposed ports in the US: Gulfport (Mississippi) and Providence (Rhode Island), in order to examine how port stakeholders such as port operators, municipal planners, port tenants, and coastal managers, perceive storm impacts and the seaport's vulnerability, and how their planning and policy making address these perceived concerns. Results suggest the following: (1) Port stakeholders of Gulfport (MS) and Providence (RI) identified a wide range of direct damages, indirect costs, and intangible consequences of a hurricane hitting the port; (2) these impacts would result in costs that would be borne by all port stakeholders as well as society as a whole; and (3) in Providence and Gulfport, plans and policies that address storm resilience for the ports did not include the concerns of many stakeholders. (C) 2014 Elsevier Ltd. All rights reserved.
C1 [Becker, Austin Howard] Univ Rhode Isl, Coll Environm & Life Sci, Dept Marine Affairs, Kingston, RI 02881 USA.
   [Becker, Austin Howard] Univ Rhode Isl, Coll Environm & Life Sci, Dept Landscape Architecture, Kingston, RI 02881 USA.
   [Matson, Pamela] Stanford Univ, Sch Earth Sci, Stanford, CA 94305 USA.
   [Matson, Pamela; Mastrandrea, Michael D.] Stanford Univ, Woods Inst Environm, Stanford, CA 94305 USA.
   [Fischer, Martin] Stanford Univ, Dept Civil & Environm Engn, Stanford, CA 94305 USA.
   [Fischer, Martin] Stanford Univ, CIFE, Stanford, CA 94305 USA.
   [Mastrandrea, Michael D.] Carnegie Inst Sci, Intergovt Panel Climate Change Working Grp TSU 2, Stanford, CA 94305 USA.
C3 University of Rhode Island; University of Rhode Island; Stanford
   University; Stanford University; Stanford University; Stanford
   University; Carnegie Institution for Science
RP Becker, AH (corresponding author), Univ Rhode Isl, Coll Environm & Life Sci, Dept Marine Affairs, Coastal Inst Room 213,1 Greenhouse Rd,Suite 205, Kingston, RI 02881 USA.
EM abecker@uri.edu; pmatson@stanford.edu; fischer@stanford.edu;
   mikemas@stanford.edu
OI Fischer, Martin/0000-0002-5071-017X; Becker, Austin/0000-0001-9224-7913;
   Mastrandrea, Michael/0000-0002-6668-6493
CR Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Allen C.H., 2012, Journal of Transportation Law, Logistics Policy, V79, P89
   Allison EH, 2009, FISH FISH, V10, P173, DOI 10.1111/j.1467-2979.2008.00310.x
   [Anonymous], AD CLIM CHANGE OCEAN
   [Anonymous], HAZ ID RISK ASS HIRA
   [Anonymous], EC PROV WORK WAT ALL
   [Anonymous], PLAN IMPL PORT GULFP
   [Anonymous], TROPICAL CYCLONE REP
   [Anonymous], NAT HAZ HURR FLOODS
   [Anonymous], GLOB REP EC AD CLIM
   [Anonymous], 2011, 6 NWS NHC
   [Anonymous], STAT REP LOUIS PORTS
   [Anonymous], 1984, J MANAGE STUD
   [Anonymous], 2005, Brokerage and closure: An introduction to social capital
   [Anonymous], FLOOD INS STUD HARR
   [Anonymous], CRIT INFR RES FINAL
   [Anonymous], 2012, SPECIAL REPORT INTER
   [Anonymous], STRATEGIC PLANNER
   [Anonymous], PLANN CLIM CHANG IMP
   [Anonymous], TRANSPORTATION RES B
   [Anonymous], 2007, SYNTHESIS REPORT CON
   [Anonymous], THESIS STANFORD U
   [Anonymous], HURR KATR DAM ASS RE
   [Anonymous], FAIL ACT EC IMP CURR
   [Anonymous], CASE STUDY TRANSPOTA
   [Anonymous], GLOBAL CLIMATE CHANG
   [Anonymous], AM CLIM CHOIC AD IMP
   [Anonymous], WORLD PORT IND
   [Anonymous], 2013, CLIM MIT AD PLAN POR
   [Anonymous], EX ORD 11988 FLOODPL
   [Anonymous], STAK BEN ROAD INT ST
   [Anonymous], IMP CLIM CHANG VAR T
   [Anonymous], 2013, ENHANCING RESILIENCE
   [Anonymous], 2013, MITIG ADAPT STRAT GL, DOI DOI 10.1007/s11027-012-9423-1
   [Anonymous], NATURAL HAZARD MITIG
   [Anonymous], 2010, MARITIME AFFAIRS J N, DOI DOI 10.1080/09733159.2010.559786
   [Anonymous], 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   [Anonymous], 2002, Qualitative Research and Evaluation Methods
   [Anonymous], POSTL LOSS EST HURR
   [Anonymous], TECHNOLOGICAL FORECA
   [Anonymous], CLIMATE CHANGE ENV E
   [Anonymous], P 30 INT NAV C PIANC
   [Anonymous], 2006, The Impact of Hurricane Katrina on Mississippi's Commercial Public Ports and Opportunities for Expansion of the Ports
   [Anonymous], NATURAL HAZARDS
   [Anonymous], 2014, 3 NATL COMMUNICATION
   [Anonymous], 2004, Public Manag. Rev., DOI [10.1080/14719030410001675722, DOI 10.1080/14719030410001675722]
   [Anonymous], NAT HAZ HURR
   [Anonymous], P INT C PORTS 2007
   [Anonymous], ENV SCI
   [Anonymous], 2013, UNDERSTANDING FUTURE
   [Anonymous], ERSA C PAP EUR REG S
   [Anonymous], PORT IND INF TRAD EC
   [Anonymous], ANAL INDUCTION QUALT
   [Anonymous], GULFP MAST PLAN UPD
   [Anonymous], J EMERGENCY MANAGEME
   [Anonymous], ENV ASS ENV REV REC
   [Anonymous], PORT COMM NEX 25 EL
   [Anonymous], PORTECTING NATIONS S
   [Anonymous], FED DIS REC GRANT RE
   [Anonymous], 2013, SUCCESSFUL ADAPTATIO
   [Anonymous], ALT PORT MAN STRUCT
   [Anonymous], ERSA C PAPERS 2003
   Asariotis R., 2012, Maritime transport and the climate change challenge
   Baker CJ, 2010, P I MECH ENG C-J MEC, V224, P519, DOI 10.1243/09544062JMES1558
   Becker A., 2010, Rhode Island's Ports and Commercial Harbors: A GIS Inventory of Current Uses and Infrastructure
   Becker A, 2012, CLIMATIC CHANGE, V110, P5, DOI 10.1007/s10584-011-0043-7
   Becker AH, 2013, CLIMATIC CHANGE, V120, P683, DOI 10.1007/s10584-013-0843-z
   Bender MA, 2010, SCIENCE, V327, P454, DOI 10.1126/science.1180568
   Besanko D., 2010, Microeconomics
   Birkmann J., 2007, Environmental Hazards, V7, P20, DOI 10.1016/j.envhaz.2007.04.002
   Birkmann J, 2013, NAT HAZARDS, V67, P193, DOI 10.1007/s11069-013-0558-5
   Burroughs R., 2005, Maritime Policy Management, V32, P315
   Canton LG, 2008, J HOMEL SECUR EMERG, V5
   Cash DW, 2000, GLOBAL ENVIRON CHANG, V10, P109, DOI 10.1016/S0959-3780(00)00017-0
   Chermack TJ, 2004, FUTURES, V36, P295, DOI 10.1016/S0016-3287(03)00156-3
   Coaffee J., 2006, International Relations, V20, P503, DOI [10.1177/0047117806069416, DOI 10.1177/0047117806069416]
   Cochrane HaroldC., 2004, Modeling Spatial and Economic Impacts of Disasters, P37, DOI [10.1007/978-3-540-24787-6_3, DOI 10.1007/978-3-540-24787-6_3]
   Coumou D, 2012, NAT CLIM CHANGE, V2, P491, DOI 10.1038/NCLIMATE1452
   Curtis S.A., 2007, Hurricane Katrina Damage Assessment: Louisiana, Alabama, and Mississippi Ports and Coasts
   Daily GC, 2009, FRONT ECOL ENVIRON, V7, P21, DOI 10.1890/080025
   De Langen P.W., 2004, The Performance of Seaport Cluster; a framework to analyze cluster performance and an application to the seaport clusters in Durban, Rotterdam and the lower Mississippi
   Eakin H, 2006, ANNU REV ENV RESOUR, V31, P365, DOI 10.1146/annurev.energy.30.050504.144352
   Elsner JB, 2008, NATURE, V455, P92, DOI 10.1038/nature07234
   Emanuel K, 2005, NATURE, V436, P686, DOI 10.1038/nature03906
   Emanuel KA, 2013, P NATL ACAD SCI USA, V110, P12219, DOI 10.1073/pnas.1301293110
   Few R, 2007, CLIM POLICY, V7, P46, DOI 10.1080/14693062.2007.9685637
   Fritz HM, 2008, J GEOTECH GEOENVIRON, V134, P644, DOI 10.1061/(ASCE)1090-0241(2008)134:5(644)
   Gall M, 2009, B AM METEOROL SOC, V90, P799, DOI 10.1175/2008BAMS2721.1
   Goss R.O., 1990, MARIT POLICY MANAG, V17, P207, DOI 10.1080/03088839000000028
   Grinsted A, 2013, P NATL ACAD SCI USA, V110, P5369, DOI 10.1073/pnas.1209980110
   Grossi P, 2005, HUEBNER INT SER RISK, V25, P23
   Haezendonck E., 2001, Essays on Strategy Analysis for Seaports
   Hall PV, 2010, REG STUD, V44, P1103, DOI 10.1080/00343400903365110
   Hallegatte S, 2008, RISK ANAL, V28, P779, DOI 10.1111/j.1539-6924.2008.01046.x
   Hallegatte S, 2011, CLIMATIC CHANGE, V104, P1, DOI 10.1007/s10584-010-9981-8
   Hanson S, 2011, CLIMATIC CHANGE, V104, P89, DOI 10.1007/s10584-010-9977-4
   Haymaker J, 2006, LECT NOTES ARTIF INT, V4200, P320
   Heinz H.J., 2000, The hidden costs of coastal hazards: Implications for risk assessment and mitigation
   Janssen MA, 2006, GLOBAL ENVIRON CHANG, V16, P240, DOI 10.1016/j.gloenvcha.2006.04.001
   Jonkeren O, 2014, REG ENVIRON CHANGE, V14, P953, DOI 10.1007/s10113-013-0441-7
   Knapp KR, 2010, B AM METEOROL SOC, V91, P363, DOI 10.1175/2009BAMS2755.1
   Koetse MJ, 2009, TRANSPORT RES D-TR E, V14, P205, DOI 10.1016/j.trd.2008.12.004
   Lenton T., 2009, MAJOR TIPPING POINTS
   Lian CY, 2007, RISK ANAL, V27, P1053, DOI 10.1111/j.1539-6924.2007.00943.x
   Lin N, 2012, NAT CLIM CHANGE, V2, P462, DOI 10.1038/NCLIMATE1389
   Mileski JP, 2013, MAR POLICY, V40, P111, DOI 10.1016/j.marpol.2012.12.039
   Mileti D.S., 1999, DISASTER DESIGN
   Mitchell RK, 1997, ACAD MANAGE REV, V22, P853, DOI 10.2307/259247
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Ng AKY, 2013, RES TRANSP BUS MANAG, V8, P186, DOI 10.1016/j.rtbm.2013.05.005
   Nicholls R.J., 2008, Ranking port cities with high exposure and vulnerability to climate extremes: Exposure estimates
   Notteboom T., 2002, IAME 2002 INT ASS MA
   O'Rourke T.D., 2007, Bridge-Washington-National Academy of Engineering, V37, P22, DOI DOI 10.1061/9780784412824.CH10
   Oh CH, 2010, GLOBAL ENVIRON CHANG, V20, P243, DOI 10.1016/j.gloenvcha.2009.11.005
   Patt Anthony., 2013, Successful Adaptation to Climate Change: Linking Science and Policy in a Rapidly Changing World, P186
   Peduzzi P, 2009, NAT HAZARD EARTH SYS, V9, P1149, DOI 10.5194/nhess-9-1149-2009
   Porter E., 1998, COMPETITIVE ADVANTAG
   Poumadére M, 2008, CLIMATIC CHANGE, V91, P123, DOI 10.1007/s10584-008-9446-5
   Preston BL, 2011, MITIG ADAPT STRAT GL, V16, P407, DOI 10.1007/s11027-010-9270-x
   Rahmstorf S., 2010, Nat Reps Clim Change, V4, P44, DOI DOI 10.1029/2010GL042947
   Rose Adam., 2004, Modeling the Spatial Economic Impacts of Natural Hazards, P13, DOI DOI 10.1007/978-3-540-24787-6_2
   Rubinoff P., 2007, Increasing resilience along Rhode Island's Coast
   Schaeffer M, 2012, NAT CLIM CHANGE, V2, P867, DOI [10.1038/NCLIMATE1584, 10.1038/nclimate1584]
   Shackley S., 2002, Journal of Environmental Planning and Management, V45, P381, DOI 10.1080/09640560220133414
   Smythe T., 2013, ASSESSING IMPACTS HU
   Spaulding M., 2007, Natural Hazards and Flood Plain Management in Upper Narragansett Bay
   Stern N.H., 2006, STERN REV EC CLIMATE, V30
   Talley W., 2009, Port Economics, DOI DOI 10.4324/9780203880067
   Tebaldi C, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/1/014032
   Tompkins EL, 2008, J ENVIRON MANAGE, V88, P1580, DOI 10.1016/j.jenvman.2007.07.025
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   van Kleef E, 2006, APPETITE, V47, P46, DOI 10.1016/j.appet.2006.02.002
   Vermeer M, 2009, P NATL ACAD SCI USA, V106, P21527, DOI 10.1073/pnas.0907765106
   von Storch H, 2008, ENVIRON SCI POLICY, V11, P735, DOI 10.1016/j.envsci.2008.08.003
   Ward D., 2001, Impact Assessment and Project Appraisal, V19, P119, DOI DOI 10.3152/147154601781767131
   Wilbanks TJ, 1999, CLIMATIC CHANGE, V43, P601, DOI 10.1023/A:1005418924748
   WOODROFFE CD, 1990, PROG PHYS GEOG, V14, P483, DOI 10.1177/030913339001400404
NR 137
TC 49
Z9 62
U1 3
U2 73
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0305-9006
EI 1873-4510
J9 PROG PLANN
JI Prog. Plan.
PD JUL
PY 2015
VL 99
BP 1
EP 49
DI 10.1016/j.progress.2013.11.002
PG 49
WC Environmental Studies; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public Administration
GA CN5LI
UT WOS:000358470400001
DA 2025-01-10
ER

PT J
AU Mátyás, C
   Bozic, G
   Gömöry, D
   Ivankovic, M
   Rasztovits, E
AF Matyas, C.
   Bozic, G.
   Goemoery, D.
   Ivankovic, M.
   Rasztovits, E.
TI Juvenile growth response of European beech (<i>Fagus sylvatica</i> L.)
   to sudden change of climatic environment in SE European trials
SO IFOREST-BIOGEOSCIENCES AND FORESTRY
LA English
DT Article
DE Genetic adaptation; Provenance test; Common garden; Phenotypic
   stability; Ecodistance; Fagus sylvatica
ID ADAPTATION; PREDICT; FOREST
AB The aim of the study was to analyse provenance tests of beech situated close to the south-eastern continental limits of the species, in order to develop a response model of adaptation and plasticity of populations on evolutionary-ecological basis, following sudden climatic changes, as a result of transplanting. Modelling of juvenile height was performed with the help of ecodistance variables. The concept of transfer analysis and ecodistance is based on the hypothesis that phenotypic response to macroclimatic changes depends on the inherited adaptive potential of the population and on the magnitude and direction of experienced environmental change. In common garden experiments, the transfer to the planting site is interpreted as simulation of environmental change. The application of ecodistance of transfer for evaluating common garden experiments provides much needed quantitative information about response of tree populations to predicted climatic changes. The analysis of three field experiments of European beech in SE Europe indicates that macroclimatic adaptation patterns exist in juvenile growth and justify restrictions of use of reproductive material on the basis of evolutionary ecology. The presented model illustrates that response to climatic change is regionally divergent, depending on testing conditions and on hereditary traits. In particular, climatic warming in the central-northern part of the range may lead to production increase. However, under the stressful and uncertain conditions at the lower (xeric) limit of the species, growth depression and vitality loss are predicted. The deviating behaviour of higher elevation provenances support their separate treatment. The results may be utilised in climate change adaptation and mitigation policy in forestry and nature conservation, to revise rules for use of reproductive material and also for validating evolutionary and ecological hypotheses related to climate change effects.
C1 [Matyas, C.; Rasztovits, E.] Univ W Hungary, Inst Environm & Earth Sci, H-9401 Sopron, Hungary.
   [Bozic, G.] Slovenian Forestry Inst, Ljubljana 1000, Slovenia.
   [Goemoery, D.] Tech Univ Zvolen, Fac Forestry, Zvolen 96053, Slovakia.
   [Ivankovic, M.] Croatian Forestry Inst, Jastrebarsko 10450, Croatia.
C3 University of West Hungary; Slovenian Forestry Institute; Technical
   University Zvolen; Croatian Forest Research Institute
RP Mátyás, C (corresponding author), Univ W Hungary, Inst Environm & Earth Sci, POB 132, H-9401 Sopron, Hungary.
EM cm@emk.nyme.hu
RI Bozic, Gregor/E-2919-2013; Gomory, Dusan/AAC-5840-2019
OI Bozic, Gregor/0000-0002-5595-2979; Gomory, Dusan/0000-0002-9426-4247
FU Hungarian government [NKFP 6/047/2005]; EU; research team on Beech
   Genetic Resources [E52]; Austrian Science Fund (FWF) [E52] Funding
   Source: Austrian Science Fund (FWF)
FX The financial support of the Hungarian government research fund NKFP
   6/047/2005 and of EU-FP6 Program "EVOLTREE" are gratefully acknowledged.
   Similarly, we are grateful to two anonymous reviewers for very helpful
   comments improving the text, to Laszlo Nagy (Forest Research Inst.,
   Sarvar) and to associates of the Faculty's Ecology research team' and
   for providing climatic data and support in data processing. Further
   support was provided by the COST E52 research team on Beech Genetic
   Resources, and also by and K. Kramer (Wageningen) in data collection,
   fruitful discussions and critics.
CR [Anonymous], 1988, VEGETATION ECOLOGY C
   BERKI I, 2007, ERDO KLIMA, V5, P213
   Chuine I, 2003, TASK VEG SC, V39, P217
   CLAUSEN J, 1940, CARNEGIE I PUBL, V520
   Comps B., 1998, Forest Genetics, V5, P1
   Comps B, 2001, GENETICS, V157, P389
   CZUCZ B, 2009, ANN FOREST IN PRESS
   Fang JY, 2006, J BIOGEOGR, V33, P1804, DOI 10.1111/j.1365-2699.2006.01533.x
   Fisher R., 2005, TEACHING CHILDREN TH, V2nd
   FUHRER E, 2009, CURRENT STA IN PRESS
   Gomory D., 2009, COST E52 M THESS GRE, P8
   Jazbec A, 2007, FORESTRY, V80, P151, DOI 10.1093/forestry/cpm007
   Jeschke JM, 2008, ANN NY ACAD SCI, V1134, P1, DOI 10.1196/annals.1439.002
   Jump AS, 2009, TRENDS ECOL EVOL, V24, P694, DOI 10.1016/j.tree.2009.06.007
   Jump AS, 2005, ECOL LETT, V8, P1010, DOI 10.1111/j.1461-0248.2005.00796.x
   KLEINSCHMIDT J, 1995, GENETICS SILVICULTUR, V11, P15
   Kramer K, 2008, ECOL MODEL, V216, P333, DOI 10.1016/j.ecolmodel.2008.05.004
   KRAMER K, 1994, J APPL ECOL, V31, P172, DOI 10.2307/2404609
   Lakatos F., 2009, Acta Silvatica & Lignaria Hungarica, V5, P75
   Magri D, 2006, NEW PHYTOL, V171, P199, DOI 10.1111/j.1469-8137.2006.01740.x
   Marris E, 2009, NATURE, V459, P906, DOI 10.1038/459906a
   Matyas C., 2007, EUFORGEN Climate Change and Forest Genetic Diversity: implications for sustainable forest management in Europe, Paris, France, 15-16 March 2006, P53
   Matyas C, 1996, EUPHYTICA, V92, P45, DOI 10.1007/BF00022827
   MATYAS C, 1992, SILVAE GENET, V41, P370
   MATYAS C, 1994, TREE PHYSIOL, V14, P797, DOI 10.1093/treephys/14.7-8-9.797
   MATYAS C, 2008, ANAL HEIGHT VARIATIO, P27
   MATYAS C, 2009, FORSTARCHIV IN PRESS, V80
   Mátyás C, 2009, BIOCLIMATOLOGY AND NATURAL HAZARDS, P179, DOI 10.1007/978-1-4020-8876-6_16
   Rehfeldt G. E., 2003, Eurasian Journal of Forest Research, V6-2, P83
   Rehfeldt GE, 2008, ECOLOGY, V89, P2127, DOI 10.1890/06-2013.1
   Thomson AM, 2008, CAN J FOREST RES, V38, P157, DOI 10.1139/X07-122
   vonWuehlisch G, 1995, SILVAE GENET, V44, P343
   WRIGHT S, 1950, GENETICS QUANTITATIV
   WUHLISCH G, 2007, IMPROVEMENT SILVICUL, P135
NR 34
TC 36
Z9 36
U1 0
U2 31
PU SISEF-SOC ITALIANA SELVICOLTURA ECOL FORESTALE
PI POTENZA
PA DEPT PROD VEGETALE, VIA ATENEO LUCANO 10, POTENZA, 85100, ITALY
SN 1971-7458
J9 IFOREST
JI iForest
PD DEC 22
PY 2009
VL 2
BP 213
EP 220
DI 10.3832/ifor0519-002
PG 8
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA V17DO
UT WOS:000207918100002
OA Green Published, gold, Green Submitted, Green Accepted
DA 2025-01-10
ER

PT J
AU MacLachlan, IR
   Yeaman, S
   Aitken, SN
AF MacLachlan, Ian R.
   Yeaman, Sam
   Aitken, Sally N.
TI Growth gains from selective breeding in a spruce hybrid zone do not
   compromise local adaptation to climate
SO EVOLUTIONARY APPLICATIONS
LA English
DT Article
DE artificial selection; assisted gene flow; climate change; Picea
   engelmannii; Picea glauca; tree improvement
ID INTERIOR SPRUCE; LODGEPOLE PINE; PICEA-ENGELMANNII; ADAPTIVE
   INTROGRESSION; ASSISTED MIGRATION; GENETIC-STRUCTURE; GLAUCA;
   REFORESTATION; MANAGEMENT; CONSERVATION
AB Hybrid zones contain extensive standing genetic variation that facilitates rapid responses to selection. The Picea glauca x Piceaengelmannii hybrid zone in western Canada is the focus of tree breeding programs that annually produce similar to 90million reforestation seedlings. Understanding the direct and indirect effects of selective breeding on adaptive variation is necessary to implement assisted gene flow (AGF) polices in Alberta and British Columbia that match these seedlings with future climates. We decomposed relationships among hybrid ancestry, adaptive traits, and climate to understand the implications of selective breeding for climate adaptations and AGF strategies. The effects of selection on associations among hybrid index estimated from similar to 6,500 SNPs, adaptive traits, and provenance climates were assessed for similar to 2,400 common garden seedlings. Hybrid index differences between natural and selected seedlings within breeding zones were small in Alberta (average +2%), but larger and more variable in BC (average -7%, range -24% to +1%), slightly favoring P.glauca ancestry. The average height growth gain of selected seedlings over natural seedlings within breeding zones was 36% (range 12%-86%). Clines in growth with temperature-related variables were strong, but differed little between selected and natural populations. Seedling hybrid index and growth trait associations with evapotranspiration-related climate variables were stronger in selected than in natural seedlings, indicating possible preadaptation to drier future climates. Associations among cold hardiness, hybrid ancestry, and cold-related climate variables dominated signals of local adaptation and were preserved in breeding populations. Strong hybrid ancestry-phenotype-climate associations suggest that AGF will be necessary to match interior spruce breeding populations with shifting future climates. The absence of antagonistic selection responses among traits and maintenance of cold adaptation in selected seedlings suggests breeding populations can be safely redeployed using AGF prescriptions similar to those of natural populations.
C1 [MacLachlan, Ian R.; Aitken, Sally N.] Univ British Columbia, Dept Forest & Conservat Sci, Fac Forestry, Vancouver, BC, Canada.
   [Yeaman, Sam] Univ Calgary, Dept Biol Sci, Calgary, AB, Canada.
C3 University of British Columbia; University of Calgary
RP Aitken, SN (corresponding author), Univ British Columbia, Dept Forest & Conservat Sci, Fac Forestry, Vancouver, BC, Canada.
EM sally.aitken@ubc.ca
RI Yeaman, Sam/C-7778-2011
OI Yeaman, Sam/0000-0002-1706-8699
FU Genome Canada; Genome BC; Genome Alberta; Alberta Innovates
   BioSolutions; Forest Genetics Council of British Columbia; British
   Columbia Ministry of Forests, Lands and Natural Resource Operations
   (BCMFLNRO); Virginia Polytechnic University; University of British
   Columbia; CoAdapTree Project; NSERC
FX This research was part of the AdapTree project co-led by S.N.A. It was
   funded by Genome Canada, Genome BC, Genome Alberta, Alberta Innovates
   BioSolutions, the Forest Genetics Council of British Columbia, the
   British Columbia Ministry of Forests, Lands and Natural Resource
   Operations (BCMFLNRO), Virginia Polytechnic University, and the
   University of British Columbia. It was also supported by the CoAdapTree
   Project (S.N.A. and S.Y., co-project leaders) and by an NSERC Discovery
   Grant to S.N.A. Seeds were kindly donated by 63 forest companies and
   agencies in Alberta and British Columbia (listed at
   http://adaptree.forestry.ubc.ca/seed-contributors/). Seed donation was
   facilitated by the Alberta Tree Improvement and Seed Centre, and the
   BCMFLNRO Tree Seed Centre. Our research would not have been possible
   without extensive technical assistance from the Aitken Lab at UBC, and
   especially Pia Smets and Joanne Tuytel, at all stages of experimental
   establishment and data collection. Jon Degner contributed advice on the
   ADMIXTURE analyses and selection of the Engelmann spruce reference
   populations. Joanne Elleouet contributed Sitka spruce reference
   genotypes. Laura Gray contributed statistical advice. Seane Tehearne was
   extremely helpful at the UBC Totem Field site. We thank Loren Rieseberg
   (UBC), Yousry El-Kassaby (UBC), and Greg O'Neill (BCMFLNRO) for their
   helpful comments and suggestions on manuscript drafts.
CR Aitken SN, 2008, EVOL APPL, V1, P95, DOI 10.1111/j.1752-4571.2007.00013.x
   Aitken SN, 2013, ANNU REV ECOL EVOL S, V44, P367, DOI 10.1146/annurev-ecolsys-110512-135747
   Alexander DH, 2009, GENOME RES, V19, P1655, DOI 10.1101/gr.094052.109
   [Anonymous], 06 BRIT COL MIN FOR
   [Anonymous], SUST FOR MAN CURR FA
   [Anonymous], TREE GENETICS GENOME
   [Anonymous], CHIEF FOR STAND SEED
   [Anonymous], CANADIAN BRIT COLUMB
   [Anonymous], ALB FOR GEN RES COUN
   [Anonymous], ECOLOGY SILVICULTURE
   [Anonymous], HDB USDA FOR SERV
   [Anonymous], BUSINESS PLAN 2015 2
   Bansal S, 2016, ECOL EVOL, V6, P2074, DOI 10.1002/ece3.2007
   Barrett RDH, 2008, TRENDS ECOL EVOL, V23, P38, DOI 10.1016/j.tree.2007.09.008
   Birol I, 2013, BIOINFORMATICS, V29, P1492, DOI 10.1093/bioinformatics/btt178
   Bräutigam K, 2013, ECOL EVOL, V3, P399, DOI 10.1002/ece3.461
   British Columbia Ministry of Environment, 2015, IND CLIM CHANG BRIT
   Buerkle CA, 2008, TRENDS ECOL EVOL, V23, P686, DOI 10.1016/j.tree.2008.07.008
   Butler D., 2009, ASREML ASREML FITS L
   Cullingham CI, 2012, EVOL APPL, V5, P879, DOI 10.1111/j.1752-4571.2012.00266.x
   DAUBENMIRE R, 1974, CAN J BOT, V52, P1545, DOI 10.1139/b74-203
   De Carvalho D, 2010, MOL ECOL, V19, P1638, DOI 10.1111/j.1365-294X.2010.04595.x
   De La Torre AR, 2014, MOL ECOL, V23, P2046, DOI 10.1111/mec.12710
   De La Torre AR, 2014, NEW PHYTOL, V201, P687, DOI 10.1111/nph.12540
   FLINT HL, 1967, CAN J PLANT SCI, V47, P229, DOI 10.4141/cjps67-043
   Gauthier S, 2015, SCIENCE, V349, P819, DOI 10.1126/science.aaa9092
   Gray LK, 2016, TREE GENET GENOMES, V12, DOI 10.1007/s11295-016-0983-1
   Gray LK, 2011, ECOL APPL, V21, P1591, DOI 10.1890/10-1054.1
   Hamilton JA, 2016, TREE PHYSIOL, V36, P1432, DOI 10.1093/treephys/tpw061
   Hamilton JA, 2016, CONSERV BIOL, V30, P33, DOI 10.1111/cobi.12574
   Haselhorst MSH, 2013, TREE GENET GENOMES, V9, P669, DOI 10.1007/s11295-012-0583-7
   Howe GT, 2003, CAN J BOT, V81, P1247, DOI [10.1139/b03-141, 10.1139/B03-141]
   Hurme P, 1997, CAN J FOREST RES, V27, P716, DOI 10.1139/cjfr-27-5-716
   Kremer A, 2012, ECOL LETT, V15, P378, DOI 10.1111/j.1461-0248.2012.01746.x
   Liepe KJ, 2016, EVOL APPL, V9, P409, DOI 10.1111/eva.12345
   MacLachlan IR, 2017, FOREST ECOL MANAG, V391, P404, DOI 10.1016/j.foreco.2017.02.008
   O'Neill G.A., 2008, ASSISTED MIGRATION A
   O'Neill GA, 2014, FOREST ECOL MANAG, V328, P122, DOI 10.1016/j.foreco.2014.05.039
   Owens J.N., 1984, REPROD CYCLE INTERIO
   Pita P., 2005, Investigacion Agraria, Sistemas y Recursos Forestales, V14, P383
   Pritchard JK, 2000, GENETICS, V155, P945
   R Core Team, 2016, R: A Language and Environment for Statistical Computing
   REHFELDT GE, 1994, CAN J BOT, V72, P1197, DOI 10.1139/b94-146
   Rieseberg LH, 2003, SCIENCE, V301, P1211, DOI 10.1126/science.1086949
   Rieseberg LH, 1999, HEREDITY, V83, P363, DOI 10.1038/sj.hdy.6886170
   ROCHE L, 1969, NEW PHYTOL, V68, P505, DOI 10.1111/j.1469-8137.1969.tb06459.x
   Savolainen O, 2007, ANNU REV ECOL EVOL S, V38, P595, DOI 10.1146/annurev.ecolsys.38.091206.095646
   Stoehr M, 2005, TREE GENET GENOMES, V1, P64, DOI 10.1007/s11295-005-0009-x
   Suarez-Gonzalez A, 2016, MOL ECOL, V25, P2427, DOI 10.1111/mec.13539
   Suren H, 2016, MOL ECOL RESOUR, V16, P1136, DOI 10.1111/1755-0998.12570
   Tanino KK, 2010, PLANT MOL BIOL, V73, P49, DOI 10.1007/s11103-010-9610-y
   Ukrainetz NK, 2011, CAN J FOREST RES, V41, P1452, DOI [10.1139/X11-060, 10.1139/x11-060]
   Wang TL, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0156720
   Wu TD, 2005, BIOINFORMATICS, V21, P1859, DOI 10.1093/bioinformatics/bti310
   Yeaman S, 2016, SCIENCE, V353, P1431, DOI 10.1126/science.aaf7812
   Yeaman S, 2014, NEW PHYTOL, V203, P578, DOI 10.1111/nph.12819
NR 56
TC 14
Z9 15
U1 3
U2 32
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1752-4571
J9 EVOL APPL
JI Evol. Appl.
PD FEB
PY 2018
VL 11
IS 2
BP 166
EP 181
DI 10.1111/eva.12525
PG 16
WC Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Evolutionary Biology
GA FX3WN
UT WOS:000426003200004
PM 29387153
OA gold, Green Published
DA 2025-01-10
ER

PT C
AU Meng, QL
   Chen, ZL
AF Meng Qinglin
   Chen Zhuolun
BE Jiang, Y
   Zhu, YX
   Yang, XD
   Li, XT
TI Simulation and research on indoor environment control mode basing on
   thermal comfort: A case study in the aviation building in Sanya airport
SO BUILDING SIMULATION 2007, VOLS 1-3, PROCEEDINGS
LA English
DT Proceedings Paper
CT 10th Conference of the
   International-Building-Performance-Simulation-Association
CY SEP 03-06, 2007
CL Tsinghua Univ, Beijing, PEOPLES R CHINA
SP China HVAC&R Soc, Amer Soc Heating, Refrigerat & Air Condit Engineers, Energy Conservat Buildings & Community Syst, Federat European Heating & Air Conditioning Assoc, US DOE, Int Bldg Performance Simulat Assoc
HO Tsinghua Univ
DE control; mode of thermal environment; indoor thermal comfort; CFD;
   climate-adapting buildings
AB It is the goal of climate-adapting buildings to make used of the natural regularity to decrease indoor temperature and improve thermal comfort. In the aviation building in Sanya airport, the control mode of thermal environment - combination of natural ventilation, air modulation by mechanical fans and air-conditioning is promoted. The CFD software PHOENICS is employed to simulate the potential of natural ventilation and air modulation by mechanical fans in different plans under typical meteorological conditions of Sanya in summer. Finally, it is concluded that the wide usage of air modulation by mechanical fans in tropical zones can lead to lower energy consumption under the same indoor thermal comfort.
C1 [Meng Qinglin; Chen Zhuolun] S China Univ Technol, Natl Lab Subtrop Architecture Sci, Guangzhou, Guangdong, Peoples R China.
C3 South China University of Technology
RP Meng, QL (corresponding author), S China Univ Technol, Natl Lab Subtrop Architecture Sci, Guangzhou, Guangdong, Peoples R China.
OI Chen, Zhuolun/0000-0001-5348-1117
CR [Anonymous], 2005, GB501892005
   KRISHAN A, 2005, CLIMATE RESPONSIVE A
   LIN QB, 2000, DESING HOUSING ESTAT
   MENG QL, ARCHITECTURAL J, pP32
   MURAKAMI SZ, 2000, CFD DESIGN BUILDING
   OLGYAY V., 1973, DESIGN CLIMATE BIOCL
   QIU WH, 2006, J MIDDLE CHINA ARCHI, V6, pP209
   QIU WM, 2005, FUJIAN ARCHITECTURE, pP67
   TANG GH, 2005, HUMID HOT CLIMATE S
   Wei R.B., 1994, THERMAL ENV
NR 10
TC 5
Z9 5
U1 0
U2 2
PU TSINGHUA UNIVERSITY PRESS
PI BEIJING
PA TSINGHUA UNIVERSITY HAIDIANQU, BEIJING 100084, PEOPLES R CHINA
BN 978-0-9771706-3-0
PY 2007
BP 161
EP 168
PG 8
WC Construction & Building Technology; Engineering, Civil; Mathematics,
   Applied
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Construction & Building Technology; Engineering; Mathematics
GA BHI13
UT WOS:000253394500023
DA 2025-01-10
ER

PT J
AU Gallez, E
   Canters, F
   Gadeyne, S
   Baró, F
AF Gallez, Elsa
   Canters, Frank
   Gadeyne, Sylvie
   Baro, Francesc
TI A multi-indicator distributive justice approach to assess school-related
   green infrastructure benefits in Brussels
SO ECOSYSTEM SERVICES
LA English
DT Article
DE Children's geographies; Nature-based solutions; Primary schools;
   Geospatial analysis; Urban resilience; Climate change adaptation
ID URBAN ECOSYSTEM SERVICES; AIR-POLLUTION REMOVAL; ENVIRONMENTAL JUSTICE;
   CHILDRENS HEALTH; SPACE; IMPACT; AREAS; ACCESSIBILITY; TEMPERATURES;
   DISPARITIES
AB Environmental justice considerations in ecosystem service research have increased in recent years, especially in urban assessments. Many studies have focused on the unequal distribution of urban green infrastructure and related ecosystem services from a residential perspective. However, for certain population groups, such as children, considering other frequently visited urban settings (e.g. school environments) is also essential to assess distributive environmental justice. While there is an increasing number of studies measuring children's access and exposure to green infrastructure in school environments, most of these assessments rely on coarse metrics of greenness (e.g. NDVI). In this research, we propose a multi-indicator distributive justice approach to assess schools' outdoor environmental quality. More specifically, our study examines the spatial distribution of nine school-related socio-environmental indicators, including green infrastructure elements (n = 3), regulating ecosystem services (n = 2), environmental hazards (n = 2), and socio-economic background (n = 2) for nearly all primary school settings (n = 408) located in the Brussels Capital Region, Belgium. Bivariate and spatial regression analyses show that schoolchildren from wealthier families usually attend schools with greener and better outdoor environmental quality, generally characterized by more vegetation in and around the school settings, higher levels of regulating ecosystem services provision, and lower exposure to environmental hazards. We argue that addressing these multi-faceted environmental disparities should be prioritized when planning new school greening initiatives.
C1 [Gallez, Elsa; Baro, Francesc] Vrije Univ Brussel VUB, Cosmopolis Ctr Urban Res, Dept Geog, Campus Etterbeek,Bldg F,Pl Laan 2, B-1050 Brussels, Belgium.
   [Gallez, Elsa; Canters, Frank; Baro, Francesc] Vrije Univ Brussel VUB, Dept Geog, Cartog & GIS Res Grp, Campus Etterbeek,Bldg F,Pl Laan 2, B-1050 Brussels, Belgium.
   [Gallez, Elsa; Gadeyne, Sylvie; Baro, Francesc] Vrije Univ Brussel VUB, Brussels Inst Social & Populat Studies BRISPO, Interface Demog, Pl Laan 5, B-1050 Brussels, Belgium.
C3 Vrije Universiteit Brussel; Vrije Universiteit Brussel; Vrije
   Universiteit Brussel
RP Gallez, E (corresponding author), Campus Etterbeek,Room F4-69,Pl Laan 2, B-1050 Brussels, Belgium.
EM elsa.gallez@vub.be
RI Gallez, Elsa/LMO-2463-2024; Gadeyne, Sylvie/KPB-6347-2024; Gadeyne,
   Sylvie/C-2837-2016; Baro, Francesc/C-1564-2019
OI Gadeyne, Sylvie/0000-0002-6890-1855; Baro, Francesc/0000-0002-0145-6320;
   Gallez, Elsa/0000-0002-2198-2504
FU European Union's Horizon 2020 research and innovation programme via
   Brussels Capital Region research and innovation agency Innoviris
   (ERA-NET Cofund URBAN TRANSFORMATION CAPACITIES call) [101003758]
FX We are very thankful to Amy Phillips for proofreading our manuscript.
   This paper builds on the COOLSCHOOLS project (www.cool- schools.eu ;
   "Realizing potentials of nature-based climate shelters in school
   environments for urban transformation") and has received funding from
   the European Union's Horizon 2020 research and innovation programme
   under grant agreement No 101003758 via a subsidy from the Brussels
   Capital Region research and innovation agency Innoviris (ERA-NET Cofund
   URBAN TRANSFORMATION CAPACITIES call) .
CR Akpinar A, 2017, URBAN FOR URBAN GREE, V25, P66, DOI 10.1016/j.ufug.2017.05.006
   [Anonymous], 2014, Building a green infrastructure for Europe, DOI [10.2779/54125, DOI 10.2779/54125]
   [Anonymous], 2004, Biogeochemical Investigations of Terrestrial, Freshwater, and Wetland Ecosystems across the Globe., DOI DOI 10.1007/978-94-007-0952-2_33
   [Anonymous], 2017, Urban green spaces: a brief for action
   [Anonymous], 2019, Balancing School Choice and Equity: An International Perspective Based on Pisa, DOI DOI 10.1787/2592C974-EN
   Anselin L., 2005, EXPLORING SPATIAL DA
   Antoniadis D, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11111144
   Armson D, 2012, URBAN FOR URBAN GREE, V11, P245, DOI 10.1016/j.ufug.2012.05.002
   Aznarez C, 2023, NPJ URBAN SUSTAIN, V3, DOI 10.1038/s42949-023-00128-7
   Baro F., 2022, Urban Resilience to the Climate Emergency: Unravelling the transformative potential of institutional and grassroots initiatives, P125, DOI [10.1007/978-3-031-07301-4_6, DOI 10.1007/978-3-031-07301-4_6]
   Baró F, 2021, LANDSCAPE URBAN PLAN, V208, DOI 10.1016/j.landurbplan.2020.104019
   Baro F, 2019, ENVIRON SCI POLICY, V102, P54, DOI 10.1016/j.envsci.2019.08.016
   Baró F, 2015, ECOL INDIC, V55, P146, DOI 10.1016/j.ecolind.2015.03.013
   Beery T., 2020, International Journal of Early Childhood Environmental Education, V7, P3
   Beery T, 2023, FRONT ENV SCI-SWITZ, V11, DOI 10.3389/fenvs.2023.1225044
   Bolte G, 2010, EUR J PUBLIC HEALTH, V20, P14, DOI 10.1093/eurpub/ckp213
   Boterman WR, 2022, COMP EDUC, V58, P470, DOI 10.1080/03050068.2022.2055297
   Brussels Environment, 2016, Nature Plan: Regional Nature Plan 2016-2020 in the Brussels-Capital Region
   Brussels Environment, 2021, Climate: the state of play
   Brussels Environment, 2024, Air quality in the Brussels Capital Region: Annual Report 2023
   Brussels Environment, 2023, Regional Air-Climate-Energy plan
   Brussels Environment, 2021, Call for projects for school grounds greening in the BCR
   Buckland M, 2022, EUR PLAN STUD, DOI 10.1080/09654313.2022.2088230
   Calderón-Argelich A, 2021, LANDSCAPE URBAN PLAN, V214, DOI 10.1016/j.landurbplan.2021.104130
   Calderón-Garcidueñas L, 2011, BRAIN COGNITION, V77, P345, DOI 10.1016/j.bandc.2011.09.006
   Clifford P., 1989, Assessing the Significance of the Correlation between Two Spatial Processes, V45
   Cortinovis C, 2019, ECOSYST SERV, V38, DOI 10.1016/j.ecoser.2019.100946
   Cureton Shava, 2011, Reviews on Environmental Health, V26, P141, DOI 10.1515/REVEH.2011.021
   Delvaux B., 2014, La segregation scolaire, reflet deforme de la segregation urbaine Differenciation des milieux de vie des enfants bruxellois
   Derkzen ML, 2015, J APPL ECOL, V52, P1020, DOI 10.1111/1365-2664.12469
   Duncan Dustin T, 2014, Spat Demogr, V2, P1, DOI 10.1007/BF03354902
   Dutilleul P., 1993, Modifying the t Test for Assessing the Correlation between Two Spatial Processes, V49
   Ekkel ED, 2017, LANDSCAPE URBAN PLAN, V157, P214, DOI 10.1016/j.landurbplan.2016.06.008
   Escobedo FJ, 2009, LANDSCAPE URBAN PLAN, V90, P102, DOI 10.1016/j.landurbplan.2008.10.021
   European Commission, 2018, Primary and General Secondary Education-2018/19, DOI [10.2797/202259, DOI 10.2797/202259]
   European Commission, 2021, EU Strategy on the rights of the child and the European child guarantee
   Fernández IC, 2022, URBAN FOR URBAN GREE, V70, DOI 10.1016/j.ufug.2022.127520
   Fernandez-Barres S, 2022, ENVIRON INT, V165, DOI 10.1016/j.envint.2022.107319
   Flouri E, 2014, J ENVIRON PSYCHOL, V40, P179, DOI 10.1016/j.jenvp.2014.06.007
   Forsyth A, 2012, INT J HEALTH GEOGR, V11, DOI 10.1186/1476-072X-11-14
   Frank LD, 2017, INT J HEALTH GEOGR, V16, DOI 10.1186/s12942-017-0077-9
   Fuller MG, 2022, J PEDIATR HEALTH CAR, V36, P20, DOI 10.1016/j.pedhc.2021.08.003
   Gallez E, 2024, ECOL INDIC, V166, DOI 10.1016/j.ecolind.2024.112374
   Galobardes B, 2007, BRIT MED BULL, V81-82, P21, DOI 10.1093/bmb/ldm001
   Gil R.C., 2017, Journal of Interdisciplinary Methodologies and Issues. Science, V3277
   Goldizen FC, 2016, PEDIATR PULM, V51, P94, DOI 10.1002/ppul.23262
   Gomez-Baggethun Erik, 2013, P175
   Gómez-Baggethun E, 2013, ECOL ECON, V86, P235, DOI 10.1016/j.ecolecon.2012.08.019
   Green Schoolyards, 2022, America New California Schoolyard Forest System Designed to Provide Shade to Protect Students from Extreme Heat
   Herreros-Cantis P, 2021, ECOL APPL, V31, DOI 10.1002/eap.2390
   Hirtt N., 2024, Impact du quasi-marche scolaire sur l'equite des systemes educatifs europeens
   IBSA, 2020, Share of children from the district and neighbouring districts among pupils enrolled in primary schools in the district 2020-2021 (%)
   Ioja CL, 2014, URBAN FOR URBAN GREE, V13, P704, DOI 10.1016/j.ufug.2014.07.002
   IRCEL-CELINE, 2020, pm10_anmean_2020_atmostreet_v63
   Jennings V, 2015, INT J ENV RES PUB HE, V12, P1952, DOI 10.3390/ijerph120201952
   Jones H., 2023, TEAN C 2023
   Jones L., 2022, Nat. Based Solut, V2, P100041, DOI [10.1016/j.nbsj.2022.100041, DOI 10.1016/J.NBSJ.2022.100041]
   Jordan C, 2019, FRONT PSYCHOL, V10, DOI 10.3389/fpsyg.2019.00766
   Jorge F, 2018, P ROY SOC B-BIOL SCI, V285, DOI 10.1098/rspb.2018.0072
   Kabisch N., 2019, Biodivers. Health Face Clim. Change, P91, DOI DOI 10.1007/978-3-030-02318-8
   Kabisch N, 2016, ECOL INDIC, V70, P586, DOI 10.1016/j.ecolind.2016.02.029
   Karimi B, 2020, ATMOS POLLUT RES, V11, P61, DOI 10.1016/j.apr.2020.02.006
   Kato-Huerta J, 2022, ENVIRON SCI POLICY, V138, P122, DOI 10.1016/j.envsci.2022.07.034
   Kato-Huerta J, 2023, LANDSCAPE URBAN PLAN, V229, DOI 10.1016/j.landurbplan.2022.104592
   Khanian M, 2024, TRANSPORT RES D-TR E, V130, DOI 10.1016/j.trd.2024.104162
   Konijnendijk CC, 2023, J FORESTRY RES, V34, P821, DOI 10.1007/s11676-022-01523-z
   Langemeyer J., 2020, Weaving Notions of Justice into Urban Ecosystem Services Research and Practice, V109, P1, DOI [10.1016/j.envsci.2020.03.021, DOI 10.1016/J.ENVSCI.2020.03.021]
   Laszkiewicz E, 2020, ENVIRON SCI POLICY, V110, P1, DOI 10.1016/j.envsci.2020.05.009
   Lauriks F., 2022, CurieuzenAir: Data collection, data analysis and results
   Le Texier M, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0204684
   Lin Y, 2022, J CLEAN PROD, V336, DOI 10.1016/j.jclepro.2022.130404
   Mangiafico SS., 2016, Summary and Analysis of Extension Program Evaluation in R, version 1.15.0
   McDonald AG, 2007, ATMOS ENVIRON, V41, P8455, DOI 10.1016/j.atmosenv.2007.07.025
   Medor, 2022, Ailing Brussels: Portrait of a city where inequalities operate in a vicious circle
   MobiGIS, 2023, Reseau pieton (Pedestrian Network) Bruxelles Mobilite
   NatCap, 2023, Urban InVEST: Designing resilient cities by nature
   Nesbitt L, 2019, LANDSCAPE URBAN PLAN, V181, P51, DOI 10.1016/j.landurbplan.2018.08.007
   Nieuwenhuijsen MJ, 2017, EPIDEMIOLOGY, V28, P63, DOI 10.1097/EDE.0000000000000549
   Nowak D.J., 2021, Understanding i-Tree: 2021 Summary of Programs and Methods
   Nowak DJ, 2018, URBAN FOR URBAN GREE, V29, P40, DOI 10.1016/j.ufug.2017.10.019
   Observatory of Health and Social Affairs of Brussels-Capital, 2020, Brussels Poverty Report
   Sang AO, 2022, FRONT ECOL EVOL, V10, DOI 10.3389/fevo.2022.804500
   Osorio F., 2022, Tools for Assessment the Association Between Two Spatial Processes, P1
   Paradigm, 2018, Urban heat islands
   Paradigm, 2015, UrbIS-Adm: URBMZIPOINT (interest points)
   Paradigm, 2016, UrbIS-Adm: Ss (Street Surface)
   Paradigm, 2015, UrbIS-P&B: CABU (cadastral buildings) and CAPA (cadastral parcels)
   Paradigm, 2021, UrbIS-Ortho N-S
   Pauleit S, 2019, URBAN FOR URBAN GREE, V40, P4, DOI 10.1016/j.ufug.2018.10.006
   Perspective.Brussels, 2019, Procedures et pratiques d'inscription dans l'enseignement fondamental en region de Bruxelles-Capitale: Synthese sur la base du rapport du BSINovembre 2018
   Phillips A, 2022, URBAN FOR URBAN GREE, V74, DOI 10.1016/j.ufug.2022.127674
   Requia WJ, 2022, CITIES, V121, DOI 10.1016/j.cities.2021.103435
   Rigolon A, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18052563
   Sakhvidi MJZ, 2022, SCI TOTAL ENVIRON, V824, DOI 10.1016/j.scitotenv.2022.153608
   Salmond JA, 2016, ENVIRON HEALTH-GLOB, V15, DOI 10.1186/s12940-016-0103-6
   Schlosberg D, 2013, ENVIRON POLIT, V22, P37, DOI 10.1080/09644016.2013.755387
   Schulman Alexis, 2008, Urban Ecosystems, V11, P65, DOI 10.1007/s11252-007-0037-4
   Sedgwick P., 2014, Spearman's Rank Correlation Coefficient, DOI [10.2307/26518805, DOI 10.2307/26518805]
   SeGEC, 2019, Memorandum 2019-2024 de l'enseignement catholique
   Shoari N, 2021, J URBAN HEALTH, V98, P375, DOI 10.1007/s11524-021-00527-0
   Skelhorn C, 2014, LANDSCAPE URBAN PLAN, V121, P129, DOI 10.1016/j.landurbplan.2013.09.012
   Sram RJ, 2017, NEUROENDOCRINOL LETT, V38, P389
   Statbel, 2022, An overview of Belgium through figures: Key figures 2022
   Statbel, 2022, Population density by municipality 2019-2021
   Stessens P, 2017, ECOSYST SERV, V28, P328, DOI 10.1016/j.ecoser.2017.10.016
   Stevenson KT, 2020, ELEMENTA-SCI ANTHROP, V8, DOI 10.1525/elementa.406
   SURE, 2023, IMECOGIP
   Tallis M, 2011, LANDSCAPE URBAN PLAN, V103, P129, DOI 10.1016/j.landurbplan.2011.07.003
   Tan PY, 2017, LANDSCAPE URBAN PLAN, V158, P139, DOI 10.1016/j.landurbplan.2016.11.001
   Teeuwen R, 2023, COMPUT ENVIRON URBAN, V100, DOI 10.1016/j.compenvurbsys.2022.101912
   Thygesen M, 2020, ENVIRON HEALTH PERSP, V128, DOI 10.1289/EHP6729
   UNDP, 2021, Transforming Our World: the 2030 Agenda for Sustainable Development
   United Nations Children's Fund-UNICEF, 2018, Shaping urbanization for children: a handbook on childresponsive urban planning
   van den Bogerd N, 2023, FORESTS, V14, DOI 10.3390/f14040660
   van Velzen C, 2023, LANDSCAPE URBAN PLAN, V232, DOI 10.1016/j.landurbplan.2023.104687
   Vanaken GJ, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15122668
   Vanos JK, 2015, ENVIRON INT, V76, P1, DOI 10.1016/j.envint.2014.11.016
   Venter ZS, 2023, SCI TOTAL ENVIRON, V858, DOI 10.1016/j.scitotenv.2022.160193
   Vlaamse Overheid, 2020, Leerlingenkenmerken per school (GOK)
   Wolch JR, 2014, LANDSCAPE URBAN PLAN, V125, P234, DOI 10.1016/j.landurbplan.2014.01.017
   Wouters T., 2015, Woonsegregatie in Vlaanderen En Brussel: Een Analyse Voor nr. SSL/2014.21/2.2.1 de schooljaren 2001-2002 tot 2012-2013
   Xu ZW, 2014, INT J BIOMETEOROL, V58, P239, DOI 10.1007/s00484-013-0655-x
   Zhang ZZ, 2022, URBAN FOR URBAN GREE, V67, DOI 10.1016/j.ufug.2021.127434
   Zhang ZZ, 2022, ENVIRON EDUC RES, V28, P1271, DOI 10.1080/13504622.2022.2032612
NR 124
TC 0
Z9 0
U1 5
U2 5
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0416
J9 ECOSYST SERV
JI Ecosyst. Serv.
PD DEC
PY 2024
VL 70
AR 101677
DI 10.1016/j.ecoser.2024.101677
PG 16
WC Ecology; Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA L8R5D
UT WOS:001353338700001
OA hybrid
DA 2025-01-10
ER

PT J
AU Kori, DS
   Musakwa, W
   Kelso, C
AF Shoko Kori, Dumisani
   Musakwa, Walter
   Kelso, Clare
TI A bibliometric analysis of smallholder farmers' climate change
   adaptation challenges: a SADC region outlook
SO INTERNATIONAL JOURNAL OF CLIMATE CHANGE STRATEGIES AND MANAGEMENT
LA English
DT Article; Early Access
DE Adoption; Adaptation challenges; Barriers to adaptation; Dis-adoption;
   Maladaptation; Mis-implementation; Unintended adaptation outcomes
ID SOUTH-AFRICA; CROP; PERCEPTIONS; IMPACT
AB Purpose - This paper aims to explore pathways in which adaptation challenges may occur. Focus is on the barriers to adaptation, challenges to adaptation and maladaptation with reference to smallholder farmers in the Southern African Development Community region. Design/methodology/approach - Bibliometric analysis techniques were used to track the literature on smallholder farmers' adaptation challenges. Web of Science was the main data source. A total of 41 articles were retained for analysis and exported into Visualization of Similarities Viewer Software where the development of research on the subject, co-occurrence of keywords analysis, top publishers, citations and total link strength was done. Findings - Results indicate that research on smallholder farmers' adaptation challenges is not new but has gained more consideration post-2020. The main adaptation challenges emanate from perception barriers and constraints based on determinants of adoption, limitations for resilience building and achieving sustainable adaptation as well as contestations around Climate Smart Agriculture technologies. Practical implications - Effective design of adaptation policies should center on prioritizing the needs of the local people. This would reduce the occurrences of smallholder farmers' adaptation challenges, promote resilience building and contribute toward achieving sustainable adaptation. Originality/value - It is equally important to document adaptation challenges. However, adaptation challenges are rarely shared with the same enthusiasm as its successes. This work focuses on the matter with the intention of conscientizing smallholder farmers to reduce the risk of repeating the same adaptation mistakes.
C1 [Shoko Kori, Dumisani; Musakwa, Walter; Kelso, Clare] Univ Johannesburg, Dept Geog Environm Management & Energy Studies, Johannesburg, South Africa.
C3 University of Johannesburg
RP Kori, DS (corresponding author), Univ Johannesburg, Dept Geog Environm Management & Energy Studies, Johannesburg, South Africa.
EM d_shoko@yahoo.com; wmusakwa@uj.ac.za; ckelso@uj.ac.za
RI Musakwa, Walter/AAS-4114-2020
CR Akanbi RT, 2020, CLIM RES, V82, P191, DOI 10.3354/cr01628
   Assefa D., 2023, RES GLOBAL, V7, DOI [10.1016/j.resglo.2023.100168, DOI 10.1016/J.RESGLO.2023.100168]
   Atteridge A, 2018, WIRES CLIM CHANGE, V9, DOI 10.1002/wcc.500
   Bahta YT, 2021, JAMBA-J DISASTER RIS, V13, DOI 10.4102/jamba.v13i1.984
   Barasa PM, 2021, AGRONOMY-BASEL, V11, DOI 10.3390/agronomy11061255
   Barnett J, 2001, WORLD DEV, V29, P977, DOI 10.1016/S0305-750X(01)00022-5
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Berrang-Ford L, 2019, NAT CLIM CHANGE, V9, P440, DOI 10.1038/s41558-019-0490-0
   Chaudhury AS, 2016, MITIG ADAPT STRAT GL, V21, P301, DOI 10.1007/s11027-014-9600-5
   Chesterman S., 2020, Systems analysis and sectoral linkages impacting climate resilient development in the SADC region
   Chingombe W, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13073773
   Chisale HLW, 2023, J SUSTAIN FOREST, V42, P728, DOI 10.1080/10549811.2022.2123353
   Cotter M, 2020, J AGRON CROP SCI, V206, P423, DOI 10.1111/jac.12421
   Davies J., 2019, The Climate-Smart Agriculture Papers: Investigating the Business of a Productive
   Descheemaeker K, 2016, REG ENVIRON CHANGE, V16, P2331, DOI 10.1007/s10113-016-0957-8
   Dunjana N, 2022, S AFR J SCI, V118, DOI 10.17159/sajs.2022/13340
   Ebhuoma EE, 2022, FRONT SUSTAIN FOOD S, V6, DOI 10.3389/fsufs.2022.761195
   Edenhofer O., 2014, Climate Change 2014: Mitigation of Climate Change
   El Bilali H., 2020, Agriculture and Forestry/Poljoprivreda i Sumarstvo, V66
   Eriksen SH, 2007, CLIM POLICY, V7, P337, DOI 10.1080/14693062.2007.9685660
   Fierros-González I, 2021, FRONT ENV SCI-SWITZ, V9, DOI 10.3389/fenvs.2021.672399
   Gaworek-Michalczenia MF, 2022, CLIM DEV, V14, P867, DOI 10.1080/17565529.2021.2018987
   Ghanian M, 2020, LAND USE POLICY, V94, DOI 10.1016/j.landusepol.2020.104553
   Gosling A., 2020, Agriculture in the SADC region under climate change
   Hadebe ST, 2017, J AGRON CROP SCI, V203, P177, DOI 10.1111/jac.12191
   Halimani T, 2021, CLIM RISK MANAG, V34, DOI 10.1016/j.crm.2021.100369
   Henriksson R, 2021, CLIM DEV, V13, P503, DOI 10.1080/17565529.2020.1806777
   Hermans TDG, 2021, LAND DEGRAD DEV, V32, P1809, DOI 10.1002/ldr.3833
   Juhola S, 2016, ENVIRON SCI POLICY, V55, P135, DOI 10.1016/j.envsci.2015.09.014
   Kephe PN, 2022, FRONT SUSTAIN FOOD S, V6, DOI 10.3389/fsufs.2022.738267
   Kephe PN, 2020, HELIYON, V6, DOI 10.1016/j.heliyon.2020.e04989
   Kerr RB, 2018, RENEW AGR FOOD SYST, V33, P238, DOI 10.1017/S1742170518000017
   Lamichhane P, 2022, MITIG ADAPT STRAT GL, V27, DOI 10.1007/s11027-022-10010-z
   Lee S, 2022, CLIM RISK MANAG, V35, DOI 10.1016/j.crm.2022.100414
   Li K, 2018, SCIENTOMETRICS, V115, P1, DOI 10.1007/s11192-017-2622-5
   Mabhaudhi T, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16162970
   Makate C, 2019, INT J CLIM CHANG STR, V12, P270, DOI 10.1108/IJCCSM-07-2018-0055
   Maliki M.A., 2022, Environmental Management, V71, P1
   Mapfumo P., 2014, Working Paper 100
   Mavodyo E., 2023, Journal of Developing Economies, V8, P162, DOI [10.20473/jde.v8i1.43534, DOI 10.20473/JDE.V8I1.43534]
   Merigó JM, 2017, AUST ACCOUNT REV, V27, P71, DOI 10.1111/auar.12109
   Mkonda MY, 2018, ECOSYST HEALTH SUST, V4, P59, DOI 10.1080/20964129.2018.1459868
   Morahanye M., 2020, Role of Non-Governmental Organizations (NGOs) in Climate Change Adaptation and Mitigation Strategies: A Case Study on Leribe District
   Mugari E, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12208292
   Murray U, 2016, GEND TECHNOL DEV, V20, P117, DOI 10.1177/0971852416640639
   Mutengwa CS, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15042882
   Mwadzingeni L, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su131810023
   Nalau J, 2021, CLIM RISK MANAG, V32, DOI 10.1016/j.crm.2021.100290
   Narayan S, 2020, ONE EARTH, V3, P405, DOI 10.1016/j.oneear.2020.09.018
   Nchanji EB, 2022, FRONT SUSTAIN FOOD S, V6, DOI 10.3389/fsufs.2022.1001152
   Nemakonde LD, 2023, RISK HAZARDS CRISIS, V14, P6, DOI 10.1002/rhc3.12246
   Nyoni NMB, 2022, CLIM DEV, V14, P389, DOI 10.1080/17565529.2021.1929803
   O'Neill BC, 2014, CLIMATIC CHANGE, V122, P387, DOI 10.1007/s10584-013-0905-2
   Ogunyiola A, 2022, CLIM POLICY, V22, P411, DOI 10.1080/14693062.2021.2023451
   Olabanji MF, 2021, J WATER CLIM CHANGE, V12, P3388, DOI 10.2166/wcc.2021.138
   Pauna VH, 2019, MAR POLLUT BULL, V149, DOI 10.1016/j.marpolbul.2019.110612
   Piggott-McKellar AE, 2019, LOCAL ENVIRON, V24, P374, DOI 10.1080/13549839.2019.1580688
   Popoola OO, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12145846
   Popoola OO, 2018, GEOJOURNAL, V83, P1205, DOI 10.1007/s10708-017-9829-0
   Pranckute R, 2021, PUBLICATIONS-BASEL, V9, DOI 10.3390/publications9010012
   Prtner H.-O., 2022, CLIMATE CHANGE 2022, DOI DOI 10.1017/9781009325844.009
   Quinn CH, 2011, ECOL SOC, V16, DOI 10.5751/ES-04216-160302
   ROGERS RW, 1975, J PSYCHOL, V91, P93, DOI 10.1080/00223980.1975.9915803
   Rubekie AP, 2022, CLIM DEV, V14, P842, DOI 10.1080/17565529.2021.2018984
   Schipper ELF, 2020, ONE EARTH, V3, P409, DOI 10.1016/j.oneear.2020.09.014
   Senyolo MP, 2021, INT FOOD AGRIBUS MAN, V24, P755, DOI 10.22434/IFAMR2019.0197
   Shackleton S, 2015, WIRES CLIM CHANGE, V6, P321, DOI 10.1002/wcc.335
   Smith B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966
   Southern African Development Community (SADC), 2020, Regional Indicative Strategic Development Plan (RISDP) 2020-2030.
   Umar BB, 2021, FRONT SUSTAIN FOOD S, V5, DOI 10.3389/fsufs.2021.748300
   Wang WJ, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2019.104354
   Wang ZH, 2018, J CLEAN PROD, V199, P1072, DOI 10.1016/j.jclepro.2018.06.183
   Waters-Bayer A., 2015, Agriculture and Food Security, V4, P4, DOI DOI 10.1186/S40066-015-0023-7
   Wendland KJ, 2008, NAT RESOUR FORUM, V32, P39, DOI 10.1111/j.1477-8947.2008.00169.x
   Westoby R, 2020, ONE EARTH, V3, P388, DOI 10.1016/j.oneear.2020.09.002
   Work C, 2019, CLIM POLICY, V19, pS47, DOI 10.1080/14693062.2018.1527677
   Workalemahu S., 2021, Int J Food Sci Agric, V5, P592
   World Bank Group, 2021, Climate smart agriculture
NR 78
TC 0
Z9 0
U1 3
U2 3
PU EMERALD GROUP PUBLISHING LTD
PI Leeds
PA Floor 5, Northspring 21-23 Wellington Street, Leeds, W YORKSHIRE,
   ENGLAND
SN 1756-8692
EI 1756-8706
J9 INT J CLIM CHANG STR
JI Int. J. Clim. Chang. Strateg. Manag.
PD 2024 OCT 14
PY 2024
DI 10.1108/IJCCSM-08-2023-0106
EA OCT 2024
PG 24
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA J4H8G
UT WOS:001336698800001
OA gold
DA 2025-01-10
ER

PT J
AU Turnpenny, J
   Alexander, M
AF Turnpenny, John
   Alexander, Meghan
TI Addressing risks to mental health from climate change: a policy capacity
   analysis of England
SO CLIMATE POLICY
LA English
DT Article
DE Climate change adaptation; mental health; policy capacity; England
ID ADAPTATION; IMPACT
AB Climate change and mental health are inextricably linked crises that demand urgent responses within the health sector and beyond. Mental health challenges associated with climate change are wide-ranging. They include depression, anxiety and post-traumatic stress resulting from increased exposure to extreme weather events, generalized climate anxiety and indirect impacts. However, there is a significant adaptation gap when it comes to addressing the mental health risks posed by climate change. Lack of capacity is frequently cited as a barrier to adaptation, yet 'capacity' covers many facets. This article examines the capacities of policy systems to design and implement adaptation initiatives for addressing the increasing risks to mental health posed by climate change. Focusing on England (UK) as an illustrative case study, this article deploys a policy capacity framework and draws on semi-structured interviews and policy document analysis. It identifies the ways that analytical, operational and political policy (in)capacities manifest across relevant policy areas, which include health, flood and coastal erosion risk management, spatial planning, natural environment and emergency management. Our analysis reveals that despite some strengths in analytical and political capacity, strained operational capacity is exacerbating and reinforcing adaptation gaps. We also demonstrate some of the complex interactions between different types of capacities that both enable and hamper adaptation. This article demonstrates the value of analysing policy capacity, and its potential in identifying and designing the necessary interventions to help circumvent a growing mental health crisis under climate change.
C1 [Turnpenny, John; Alexander, Meghan] Univ East Anglia, Sch Polit, Norwich NR4 7TJ, England.
   [Alexander, Meghan] Univ Nottingham, Sch Geog, Univ Pk, Nottingham, England.
C3 University of East Anglia; University of Nottingham
RP Turnpenny, J (corresponding author), Univ East Anglia, Sch Polit, Norwich NR4 7TJ, England.
EM j.turnpenny@uea.ac.uk
FU UK Economic and Social Research Council under ORA [ES/S015264/1]
FX This work was supported by the UK Economic and Social Research Council
   under ORA (Round 5) Grant Reference ES/S015264/1 ('Understanding Climate
   adaptation policy lock-ins'). For the purpose of open access, the
   author(s) has applied a Creative Commons Attribution (CC BY) licence to
   any Author Accepted Manuscript version arising. The authors thank
   colleagues in our university research group, three reviewers, and the
   journal editor for constructive feedback that has helped improve the
   article.
CR Adger WN, 2016, GLOBAL ENVIRON CHANG, V38, pA1, DOI 10.1016/j.gloenvcha.2016.03.009
   Adger WN, 2010, NEW POLIT ECON, V15, P275, DOI 10.1080/13563460903290912
   Ali S, 2020, ASIA PAC VIEWP, V61, P537, DOI 10.1111/apv.12286
   [Anonymous], 2019, The NHS Mental Health Implementation Plan 2019/202023/24
   Austin SE, 2019, SOC SCI MED, V220, P236, DOI 10.1016/j.socscimed.2018.11.002
   Baker C., 2020, Mental health statistics for England: prevalence, services and funding
   Bali AS, 2021, INT REV ADM SCI, V87, P275, DOI 10.1177/00208523211001499
   Beemer CJ, 2021, INDOOR BUILT ENVIRON, V30, P152, DOI 10.1177/1420326X19889653
   Berrang-Ford L, 2021, LANCET PLANET HEALTH, V5, pE514, DOI 10.1016/S2542-5196(21)00179-0
   Betts R A., 2021, The Third UK Climate Change Risk Assessment Technical Report
   Capano G, 2021, J EUR PUBLIC POLICY, V28, P1197, DOI 10.1080/13501763.2021.1942156
   Capano G, 2020, POLICY SOC, V39, P285, DOI 10.1080/14494035.2020.1787628
   Capano G, 2020, SAGE OPEN, V10, DOI 10.1177/2158244019900568
   Clayton S., 2017, MENTAL HLTH OUR CHAN
   Corvalan C, 2022, EPIDEMIOL PSYCH SCI, V31, DOI 10.1017/S2045796022000361
   Denis JL, 2023, POLICY SOC, V42, P64, DOI 10.1093/polsoc/puac010
   Department for Environment Food and Rural Affairs Defra, 2014, NATL FLOOD EMERGENCY
   Department for Environment Food and Rural Affairs Defra, 2019, MEASURING ENV CHANGE
   Dickinson H, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19084696
   Evans-Lacko S, 2014, LANCET PSYCHIAT, V1, P121, DOI 10.1016/S2215-0366(14)70243-3
   Hayes K, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16091583
   Hayes K, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15091806
   Hayes K, 2018, INT J MENT HEALTH SY, V12, DOI 10.1186/s13033-018-0210-6
   HM Government, 2023, HC1649 HM GOV
   HM Government, 2023, Environmental Improvement Plan 2023 First revision of the 25 Year Environment Plan
   Howlett M, 2019, RESEARCH HANDBOOK ON CLIMATE CHANGE ADAPTATION POLICY, P50
   Howlett M, 2016, REGUL GOV, V10, P301, DOI 10.1111/rego.12091
   Hughes A, 2015, POLICY SOC, V34, P229, DOI 10.1016/j.polsoc.2015.11.001
   Husain L, 2021, POLICY SOC, DOI 10.1080/14494035.2021.1933336
   James LE, 2020, PSYCHOL MED, V50, P342, DOI 10.1017/S0033291719000163
   Lawrance EL, 2022, INT REV PSYCHIATR, V34, P443, DOI 10.1080/09540261.2022.2128725
   Menne B., 2013, Floods in the WHO European Region: health effects and their prevention
   MHCLG Ministry of Housing Communities and Local Government, 2021, NAT PLANN POL FRAM
   Morris J., 2023, Public satisfaction with the NHS and social care in 2022
   NHS, 2022, Delivering a 'Net Zero' National Health Service
   NHS, 2021, 3 HLTH CARE ADAPTATI
   Orru K, 2018, ATMOSPHERE-BASEL, V9, DOI 10.3390/atmos9060221
   Palinkas LA, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17228562
   Pirkle LT, 2022, FRONT PUBLIC HEALTH, V10, DOI 10.3389/fpubh.2022.913857
   Pouso S, 2021, SCI TOTAL ENVIRON, V756, DOI 10.1016/j.scitotenv.2020.143984
   Rahman M, 2019, RESEARCH HANDBOOK ON CLIMATE CHANGE ADAPTATION POLICY, P291
   Romanello M, 2021, LANCET, V398, P1619, DOI [10.1016/S0140-6736(21)01787-6, 10.1016/S0140-6736(23)01859-7]
   Shuttleworth K, 2020, Devolution and the NHS
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Tenbensel T, 2023, POLICY SOC, V42, P49, DOI 10.1093/polsoc/puab020
   UK Health Security Agency UKHSA, 2022, FLOODING HLTH ASSESS
   UK Health Security Agency UKHSA, 2023, ADVERSE WEATHER HLTH
   United Nations Environment Programme UNEP, 2023, UNDD UND IN INV PLAN
   Viavattene C., 2020, SC150007 ENV AG
   Waite TD, 2017, BMC PUBLIC HEALTH, V17, DOI 10.1186/s12889-016-4000-2
   Workman A, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15040674
   World Health Organization WHO, 2022, WORLD MENTAL HLTH RE
   World Health Organization WHO, 2015, OPERATIONAL FRAMEWOR
   Wu X, 2015, POLICY SOC, V34, P165, DOI 10.1016/j.polsoc.2015.09.001
NR 54
TC 1
Z9 1
U1 18
U2 31
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1469-3062
EI 1752-7457
J9 CLIM POLICY
JI Clim. Policy
PD OCT 20
PY 2024
VL 24
IS 9
BP 1211
EP 1224
DI 10.1080/14693062.2024.2362848
EA JUN 2024
PG 14
WC Environmental Studies; Public Administration
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public Administration
GA H8O6X
UT WOS:001240831200001
OA hybrid, Green Accepted
DA 2025-01-10
ER

PT J
AU Ocloo, KA
   Oduro-Ofori, E
   Amaka-Otchere, ABK
   Doe, B
   Dankyi, SK
   Atanga, E
AF Ocloo, Kafui Afi
   Oduro-Ofori, Eric
   Amaka-Otchere, Akosua Baah Kwarteng
   Doe, Benjamin
   Dankyi, Simon Kwabena
   Atanga, Esther
TI Extending the boundaries of the value-belief-norm theory to off-farm
   livelihood preferences - Perceptions of food crop farmers in the savanna
   ecological zone, Ghana
SO AFRICAN GEOGRAPHICAL REVIEW
LA English
DT Article; Early Access
DE Value-belief-norm theory; food crop farmers; male-female; off-farm
   livelihoods; savanna ecological zone; Ghana
ID CLIMATE-CHANGE ADAPTATION; VBN THEORY; MITIGATION; BEHAVIOR
AB This study explored prospects of extending propositions of the value-belief-norm theory to off-farm livelihood preferences among food crop farmers in the savanna ecological zone of Ghana. The predominantly qualitative study used the case study approach. Data collection involved questionnaire administration to 197 households, 6 community-level focus group discussions, and 18 key informant interviews. Quantitative analysis involved a non-parametric chi-square test at 95% confidence level and descriptive statistics. Qualitative data was analyzed thematically using NVivo software. The study departs from the dominant application of the value-belief-norm theory to pro-environmental behavior, to explore the theory's prospects for explaining off-farm livelihood activities of men and women food crop farmers. It found that effects of climate change on the off-farm livelihoods of male farmers differed significantly from females. The study also found that the fundamental link between values, beliefs, and norms as proposed by the value-belief-norm theory successfully explained off-farm livelihood choices in response to climate change and explained the strong difference between men and women in off-farm livelihood responses. It recommends that public policy developmental programs targeting off-farm livelihoods acknowledge the dichotomy in off-farm livelihood preferences, as well as the role of values, beliefs, and norms, and accommodate these in development programs.
C1 [Ocloo, Kafui Afi; Oduro-Ofori, Eric; Amaka-Otchere, Akosua Baah Kwarteng; Doe, Benjamin; Dankyi, Simon Kwabena] Kwame Nkrumah Univ Sci & Technol, Dept Planning, Kumasi, Ghana.
   [Atanga, Esther] Dabokpa Tech Inst, Dept Social Studies, Tamale, Ghana.
C3 Kwame Nkrumah University Science & Technology
RP Ocloo, KA (corresponding author), Kwame Nkrumah Univ Sci & Technol, Dept Planning, Kumasi, Ghana.
EM afiocloo@gmail.com
RI Ocloo, Kafui/ISS-0631-2023; Doe, Benjamin/ABB-1227-2021; Doe,
   Benjamin/ABD-2747-2021
OI Doe, Benjamin/0000-0002-8840-9673; Dankyi, Simon
   Kwabena/0009-0003-9822-9398
CR Abbam T, 2018, EARTH SPACE SCI, V5, P120, DOI 10.1002/2017EA000327
   Adzawla W., 2019, International Journal of Environment and Climate Change, V9, P104, DOI DOI 10.9734/IJECC/2019/V9I230100
   Alston M, 2014, WOMEN STUD INT FORUM, V47, P287, DOI 10.1016/j.wsif.2013.01.016
   Amini M. M., 2023, Insights on Canadian Society
   Amoako E. E., 2017, UDS International Journal of Development, V4, P64, DOI [https://doi.org/10.47740/158.UDSIJD6i, DOI 10.47740/158.UDSIJD6I]
   [Anonymous], 2019, Global Covenant of Mayors
   [Anonymous], 2011, Feeding future generations: Young rural people today - prosperous, productive farmers tomorrow: Enabling poor rural people to overcome poverty
   [Anonymous], 2022, State of the Climate in Africa 2021
   Apusigah AA, 2009, FEM AFR, P51
   Arbuckle JG Jr, 2015, ENVIRON BEHAV, V47, P205, DOI 10.1177/0013916513503832
   Arya B, 2023, ENVIRON CLIM TECHNOL, V27, P164, DOI 10.2478/rtuect-2023-0013
   Atube Francis, 2021, Agriculture and Food Security, V10, DOI 10.1186/s40066-020-00279-1
   Ayanlade A, 2023, HUM SOC SCI COMMUN, V10, DOI 10.1057/s41599-023-02380-9
   Baffour-Ata F, 2021, J AGR FOOD RES, V6, DOI 10.1016/j.jafr.2021.100205
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Bell K., 2013, Open education sociology dictionary
   Bicchieri C., 2023, STANFORD ENCY PHILOS
   Bicchieri C., 2016, WHY PEOPLE WHAT THEY
   Borghi AM, 2022, FRONT PSYCHOL, V13, DOI 10.3389/fpsyg.2022.919808
   Busetto L, 2020, NEUROL RES PRACT, V2, DOI 10.1186/s42466-020-00059-z
   Canlas I.P., 2022, Interdisciplinary Journal of Environmental and Science Education, V18, pe2269
   Chaubey I, 2016, T ASABE, V59, P1709, DOI 10.13031/trans.59.12138
   Chhachhi A., 2015, ISS 4202 SESSION 2
   Choi H, 2015, INT J HOSP MANAG, V51, P87, DOI 10.1016/j.ijhm.2015.08.004
   Creswell J. W., 2018, Research design: qualitative, quantitative, and mixed methods approaches
   Darwin C., 1871, P423
   de Groot JIM, 2008, ENVIRON BEHAV, V40, P330, DOI 10.1177/0013916506297831
   Denton F., 2002, Gender and Development, V10, P10, DOI 10.1080/13552070215903
   Dickinson KL, 2017, REG ENVIRON CHANGE, V17, P915, DOI 10.1007/s10113-016-1082-4
   Dolan C., 2002, LADDER Working Paper No.10. ODG/DEV February
   Epule TE, 2021, APPL SCI-BASEL, V11, DOI 10.3390/app11209413
   Everard M, 2020, CURR OPIN ENV SUST, V44, P16, DOI 10.1016/j.cosust.2020.03.004
   Fatusin A. F., 2019, Ghana Journal of Geography, V11, P87, DOI [https://doi.org/10.4314/gjg.v11i1.6, DOI 10.4314/GJG.V11I1.6]
   Fielding KS, 2016, FRONT PSYCHOL, V7, DOI 10.3389/fpsyg.2016.00121
   Ghana Statistical Service, 2022, 2017/18 Ghana census of agriculture. National report
   Ghazali EM, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11123237
   Guan Ting, 2023, Int J Environ Res Public Health, V20, DOI 10.3390/ijerph20054031
   Guo HP, 2022, ENVIRON IMPACT ASSES, V97, DOI 10.1016/j.eiar.2022.106891
   Gysbers V., 2014, Organization Environment, V27, P342
   Herrington, 2017, OECD Development matters
   Hewstone M, 2002, ANNU REV PSYCHOL, V53, P575, DOI 10.1146/annurev.psych.53.100901.135109
   Hiratsuka J, 2018, TRANSPORT RES F-TRAF, V53, P74, DOI 10.1016/j.trf.2017.12.015
   Hlormdor E., 2015, Gendered norms, practices and livelihoods of rural poor women in glitame, Ghana
   Holmelin NB, 2019, WORLD DEV, V122, P85, DOI 10.1016/j.worlddev.2019.05.018
   Hong YX, 2024, ASIA PAC MANAG REV, V29, P127, DOI 10.1016/j.apmrv.2023.10.002
   IFAD, 2014, Youth: Investing in young rural people for sustainable and equitable development. Rome
   IMA, 2023, Personal beliefs, values, attitudes and behaviour
   Intergovernmental Panel on Climate Change (IPCC), 2023, Climate Change 2021The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel On Climate Change, DOI [10.1017/9781009325844.001, DOI 10.1017/9781009157940, 10.1017/9781009157896]
   IPEC, 2012, Rapid assessment of alternative or additional livelihood for cocoa farmers in the western region of Ghana, V1
   Jansson J, 2011, J CONSUM BEHAV, V10, P51, DOI 10.1002/cb.346
   Jin JJ, 2015, SCI TOTAL ENVIRON, V538, P942, DOI 10.1016/j.scitotenv.2015.07.027
   Klutse NAB, 2020, SN APPL SCI, V2, DOI 10.1007/s42452-020-3095-3
   Kurukulasuriya P, 2008, AFR J AGRIC RESOUR E, V2, P105
   Lai AE, 2020, FRONT PSYCHOL, V11, DOI 10.3389/fpsyg.2020.578582
   Lewicka E, 2021, RESOURCES-BASEL, V10, DOI 10.3390/resources10050050
   Lind HB, 2015, J ENVIRON PSYCHOL, V44, P119, DOI 10.1016/j.jenvp.2015.06.001
   Maino R., 2022, Int Monet Fund, DOI [10.5089/9798400204869.001, DOI 10.5089/9798400204869.001]
   McCright A. M., 2013, Environment and Behavior, V45, P589
   Mehar M, 2016, J RURAL STUD, V44, P123, DOI 10.1016/j.jrurstud.2016.01.001
   Mitter H, 2019, ENVIRON MANAGE, V63, P804, DOI 10.1007/s00267-019-01158-7
   Morecroft MD, 2019, SCIENCE, V366, P1329, DOI 10.1126/science.aaw9256
   Ngigi M., 2016, ZEF Discussion Papers on Development Policy No. 210, DOI [10.2139/ssrn.2747856, DOI 10.2139/SSRN.2747856]
   Oduro-Ofori E., 2014, International Journal of Development Research, V6, P1951
   Office of the Economic Status of Women, 2016, Why are women-owned businesses overall smaller than men-owned businesses?
   Ogunwale A., 2021, Int. J. Small Bus. Entrepr. Res., V9, P1, DOI [10.37745/ejsber.2013, DOI 10.37745/EJSBER.2013]
   Ologeh I., 2022, IOP Conference Series: Earth and Environmental Science, DOI 10.1088/1755-1315/1077/1/012002
   Pathak A., 2022, International Journal of Home Science, V8, P126
   Paudyal BR, 2019, FRONT SUSTAIN FOOD S, V3, DOI 10.3389/fsufs.2019.00066
   Pearse R, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.451
   Perneger TV, 2015, QUAL LIFE RES, V24, P147, DOI 10.1007/s11136-014-0752-2
   Raney T., 2011, ROLE WOMEN AGR
   Razavi S., 2007, Gender and Development Programme Paper Number 3
   Rezaei-Moghaddam K, 2020, CHEM BIOL TECHNOL AG, V7, DOI 10.1186/s40538-019-0174-z
   Roe D, 2014, ENVIRON EVID, V3, DOI 10.1186/2047-2382-3-6
   Roobavannan M, 2018, HYDROL EARTH SYST SC, V22, P1337, DOI 10.5194/hess-22-1337-2018
   Sagiv L, 2022, ANNU REV PSYCHOL, V73, P517, DOI 10.1146/annurev-psych-020821-125100
   Sagnarigu District Assembly, 2017, First medium-term development plan for Sagnarigu district under the national medium-term development policy framework (NMTPF, 2018-2021)
   Sagnarigu Municipal Assembly, 2021, Annual progress report
   SARA, 2023, Social-ecological systems
   Sargani GR, 2023, J RURAL STUD, V100, DOI 10.1016/j.jrurstud.2023.103035
   Seymour E, 2010, AUSTRALAS J ENV MAN, V17, P142, DOI 10.1080/14486563.2010.9725261
   Sono D, 2021, LAND-BASEL, V10, DOI 10.3390/land10111205
   Sorvali J, 2022, FRONT PSYCHOL, V13, DOI 10.3389/fpsyg.2022.939201
   Stern PaulC., 1999, VALUE BELIEF NORM TH, DOI 10.2307/2083693
   Sultana F, 2014, PROF GEOGR, V66, P372, DOI 10.1080/00330124.2013.821730
   Tetteh B, 2022, COGENT FOOD AGR, V8, DOI 10.1080/23311932.2022.2111061
   Tiet T, 2022, ENVIRON DEV SUSTAIN, V24, P14235, DOI 10.1007/s10668-021-02030-7
   Tilly C., 1998, Durable inequality
   UN REDD Programme, 2012, Livelihood. Glossary
   Wakjira MT, 2021, AGR FOREST METEOROL, V310, DOI 10.1016/j.agrformet.2021.108633
   Weber T, 2018, EARTHS FUTURE, V6, P643, DOI 10.1002/2017EF000714
   World Meteorological Organization, 2017, Indicators of climate change. Outcome of a meeting held at WMO 3 February 2017. GCOS-206
   Wright JH, 2016, CONSERV BIOL, V30, P7, DOI 10.1111/cobi.12607
   Zhao ZY, 2021, FRONT PSYCHOL, V12, DOI 10.3389/fpsyg.2021.710239
NR 94
TC 0
Z9 0
U1 1
U2 2
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1937-6812
EI 2163-2642
J9 AFR GEOGR REV
JI Afr. Geogr. Rev.
PD 2024 MAY 23
PY 2024
DI 10.1080/19376812.2024.2356157
EA MAY 2024
PG 15
WC Geography
WE Emerging Sources Citation Index (ESCI)
SC Geography
GA RO6U5
UT WOS:001228651900001
DA 2025-01-10
ER

PT J
AU Larjavaara, M
   Chen, X
   Luo, MY
AF Larjavaara, Markku
   Chen, Xia
   Luo, Mingyu
TI A temperature-based model of biomass accumulation in humid forests of
   the world
SO FRONTIERS IN FORESTS AND GLOBAL CHANGE
LA English
DT Article
DE biomass; carbon; climate; energy; forest; growth; model; temperature
ID CARBON DYNAMICS; TREES; PRODUCTIVITY; DEPENDENCE; PATTERNS; CLIMATE;
   GROWTH; COVER; WATER
AB Forests benefit humans in numerous ways. Many of these benefits are greater from forests with large trees and high biomass (i.e., above-ground biomass) than from young forests with small trees. Understanding how the biomass accumulation rate depends on climate is therefore important. According to a classic theory, the biomass accumulation rate first increases until canopy closure, as leaf area and gross primary productivity increase, and decreases thereafter because leaf area cannot increase further and maintaining larger biomass is energetically costlier as living tissue increases even though its proportion of all biomass decreases. We based our modeling on this classic theory and defined relative productivity, pr indicating productivity, and relative maintenance cost, cr, signaling the expense of sustaining a unit of biomass in humid climates of the world. The biomass accumulation rate of low biomass forests is determined by pr - cr and maximal biomass by pr/cr. We then compiled a global data set from the literature, with 3,177 records to fit a parameter for the efficiency of converting surplus carbon into accumulated biomass and another parameter determining biomass at canopy closure. Based on the parameterized models, a constant temperature of 22.3 degrees C leads to the most rapid biomass accumulation in low biomass forests, whereas 16.4 degrees C results in greatest maximal biomass. Our parameterized model can be applied to both climate change adaptation and mitigation by optimizing land use.
C1 [Larjavaara, Markku] Univ Helsinki, Dept Forest Sci, Helsinki, Finland.
   [Chen, Xia; Luo, Mingyu] Peking Univ, Inst Ecol, Coll Urban & Environm Sci, Minist Educ, Beijing, Peoples R China.
   [Chen, Xia; Luo, Mingyu] Peking Univ, Coll Urban & Environm Sci, Key Lab Earth Surface Proc, Minist Educ, Beijing, Peoples R China.
   [Chen, Xia] Zhejiang A&F Univ, State Key Lab Subtrop Silviculture, Hangzhou, Peoples R China.
C3 University of Helsinki; Peking University; Peking University; Zhejiang
   A&F University
RP Larjavaara, M (corresponding author), Univ Helsinki, Dept Forest Sci, Helsinki, Finland.; Chen, X (corresponding author), Peking Univ, Inst Ecol, Coll Urban & Environm Sci, Minist Educ, Beijing, Peoples R China.; Chen, X (corresponding author), Peking Univ, Coll Urban & Environm Sci, Key Lab Earth Surface Proc, Minist Educ, Beijing, Peoples R China.; Chen, X (corresponding author), Zhejiang A&F Univ, State Key Lab Subtrop Silviculture, Hangzhou, Peoples R China.
EM markku.larjavaara@helsinki.fi; chenxia@zafu.edu.cn
RI Luo, Mingyu/IAN-3852-2023
OI Larjavaara, Markku/0000-0002-3484-889X
FU National Natural Science Foundation of China [32171539]; National key
   Research and Development Program of China [2023YFE0105100-1]; Peking
   University
FX We thank National Natural Science Foundation of China, no: 32171539,
   National key Research and Development Program of China, no:
   2023YFE0105100-1 and Peking University.
CR Acharya RP, 2019, ECOSYST SERV, V39, DOI 10.1016/j.ecoser.2019.100979
   Adebayo AB, 2007, FOREST PROD J, V57, P59
   Anderson KJ, 2006, ECOL LETT, V9, P673, DOI 10.1111/j.1461-0248.2006.00914.x
   Anderson-Teixeira KJ, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abed01
   Anderson-Teixeira KJ, 2018, ECOLOGY, V99, P1507, DOI 10.1002/ecy.2229
   Anderson-Teixeira KJ, 2016, GLOBAL CHANGE BIOL, V22, P1690, DOI 10.1111/gcb.13226
   Aubinet M., 2012, Eddy Covariance Recurso electronico: A Practical Guide to Measurement and Data Analysis
   Carpenter B, 2017, J STAT SOFTW, V76, P1, DOI 10.18637/jss.v076.i01
   Carvalhais N, 2014, NATURE, V514, P213, DOI 10.1038/nature13731
   Clark DA, 2003, P NATL ACAD SCI USA, V100, P5852, DOI 10.1073/pnas.0935903100
   Cook-Patton SC, 2020, NATURE, V585, P545, DOI 10.1038/s41586-020-2686-x
   Danielson J. J., 2011, U.S. geological survey open-ile report 20111073, P26, DOI DOI 10.3133/OFR20111073
   Ellison D, 2017, GLOBAL ENVIRON CHANG, V43, P51, DOI 10.1016/j.gloenvcha.2017.01.002
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   Finlayson C, 2022, ECOL EVOL, V12, DOI 10.1002/ece3.8758
   Fricko O, 2017, GLOBAL ENVIRON CHANG, V42, P251, DOI 10.1016/j.gloenvcha.2016.06.004
   Hurmekoski E, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac386f
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Keeling HC, 2007, GLOBAL ECOL BIOGEOGR, V16, P618, DOI 10.1111/j.1466-8238.2007.00314.x
   KIRA TATUO, 1967, JAP J ECOL, V17, P70
   Kirch PV, 2005, ANNU REV ENV RESOUR, V30, P409, DOI 10.1146/annurev.energy.29.102403.140700
   Kolis K, 2014, SILVA FENN, V48, DOI 10.14214/sf.1054
   Kuusinen N, 2012, AGR FOREST METEOROL, V164, P53, DOI 10.1016/j.agrformet.2012.05.009
   Larjavaara M, 2021, CARBON BAL MANAGE, V16, DOI 10.1186/s13021-021-00194-3
   Larjavaara M, 2021, TREES-STRUCT FUNCT, V35, P1587, DOI 10.1007/s00468-021-02138-3
   Larjavaara M, 2021, FRONT ECOL EVOL, V8, DOI 10.3389/fevo.2020.564302
   Larjavaara M, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab1554
   Larjavaara M, 2014, NEW PHYTOL, V202, P344, DOI 10.1111/nph.12656
   Larjavaara M, 2013, GLOBAL ECOL BIOGEOGR, V22, P772, DOI 10.1111/geb.12037
   Larjavaara M, 2012, GLOBAL ECOL BIOGEOGR, V21, P998, DOI 10.1111/j.1466-8238.2011.00740.x
   Lewis SL, 2019, NATURE, V568, P25, DOI 10.1038/d41586-019-01026-8
   Liang XY, 2020, GLOBAL CHANGE BIOL, V26, P3585, DOI 10.1111/gcb.15071
   Makela A., 2020, MODELS TREE STAND DY
   Malhi Y, 2011, PHILOS T R SOC B, V366, P3225, DOI 10.1098/rstb.2011.0062
   Malhi Y, 2010, CURR OPIN ENV SUST, V2, P237, DOI 10.1016/j.cosust.2010.08.002
   Martin AR, 2018, NAT GEOSCI, V11, P915, DOI 10.1038/s41561-018-0246-x
   Martin AR, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023533
   Miina J, 2009, SILVA FENN, V43, P577, DOI 10.14214/sf.181
   Muller-Landau HC, 2021, NEW PHYTOL, V229, P3065, DOI 10.1111/nph.17084
   ODUM EP, 1969, SCIENCE, V164, P262, DOI 10.1126/science.164.3877.262
   Pangala SR, 2017, NATURE, V552, P230, DOI 10.1038/nature24639
   Peltzer DA, 2010, ECOL MONOGR, V80, P509, DOI 10.1890/09-1552.1
   Penman J., 2003, GOOD PRACTICE GUIDAN
   Poorter L, 2016, NATURE, V530, P211, DOI 10.1038/nature16512
   Pukkala T, 2016, FOR ECOSYST, V3, DOI 10.1186/s40663-016-0068-5
   Ramankutty N, 1999, GLOBAL BIOGEOCHEM CY, V13, P997, DOI 10.1029/1999GB900046
   Ryan MG, 1997, BIOSCIENCE, V47, P235, DOI 10.2307/1313077
   Ryan MG, 2006, PLANT CELL ENVIRON, V29, P367, DOI 10.1111/j.1365-3040.2005.01478.x
   Ryan MG, 2004, ECOL MONOGR, V74, P393, DOI 10.1890/03-4037
   Sankaran M, 2005, NATURE, V438, P846, DOI 10.1038/nature04070
   Schepaschenko D, 2017, SCI DATA, V4, DOI 10.1038/sdata.2017.70
   SCHROEDER P, 1992, FOREST ECOL MANAG, V50, P31, DOI 10.1016/0378-1127(92)90312-W
   Sidle RC, 2006, FOREST ECOL MANAG, V224, P199, DOI 10.1016/j.foreco.2005.12.019
   Thornthwaite CW, 1948, GEOGR REV, V38, P55, DOI 10.2307/210739
   Turtiainen M, 2016, SILVA FENN, V50, DOI 10.14214/sf.1573
   Wang CK, 2006, FOREST ECOL MANAG, V222, P9, DOI 10.1016/j.foreco.2005.10.074
   Wang ZH, 2009, P NATL ACAD SCI USA, V106, P13388, DOI 10.1073/pnas.0905030106
   West PW, 2020, J FORESTRY RES, V31, P693, DOI 10.1007/s11676-019-01020-w
   West P. W., 2006, P1
   Wright SJ, 2009, CONSERV BIOL, V23, P1418, DOI 10.1111/j.1523-1739.2009.01337.x
   Zhang ZQ, 2017, HYDROL PROCESS, V31, P1196, DOI 10.1002/hyp.11108
   ,, 2020, The state of food security and nutrition in the world 2020: transforming food systems for affordable healthy diets, DOI 10.4060/ca9692en
NR 62
TC 0
Z9 0
U1 2
U2 3
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2624-893X
J9 FRONT FOR GLOB CHANG
JI Front. For. Glob. Change
PD MAR 4
PY 2024
VL 7
AR 1142209
DI 10.3389/ffgc.2024.1142209
PG 11
WC Ecology; Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Forestry
GA LI7J4
UT WOS:001186226600001
OA gold
DA 2025-01-10
ER

PT J
AU Pajek, L
   Mozina, M
   Nadarajah, PD
   Singh, MK
   Kosir, M
AF Pajek, Luka
   Mozina, Matic
   Nadarajah, Pravin Diliban
   Singh, Manoj Kumar
   Kosir, Mitja
TI Future-proofing a naturally ventilated log house: A case study of
   adaptive thermal comfort under climate change impact
SO ENERGY AND BUILDINGS
LA English
DT Article
DE Adaptive thermal comfort; Free running; Thermal model; Natural
   ventilation; Future climate; Climate change
ID RESIDENTIAL BUILDINGS; ENERGY DEMAND; GREEN ROOFS; PERFORMANCE;
   SIMULATION; SEASON
AB This study aimed to identify the most effective passive design measures to prevent overheating in a log house in a temperate climate. The study was conducted with a calibrated thermal model under a future climate projection (SRES A2 scenario) utilising an EN 16798-1 adaptive comfort model for the building operated under free -run mode during summer. The effects of six building -related and three organisational measures on the projected future thermal comfort in the studied log house were evaluated. During 2011-2040 and 2041-2070, thermal insulation and thermal mass paired with natural ventilation with or without shading were among the bestperforming combinations. During 2071-2100, three of the six best -performing combinations were thermal insulation and thermal mass paired with natural ventilation with or without shading. Comparing the first and the last periods, the most effective organisational measure reduced the operative temperature by an average of 0.35 or 0.34 C-degrees in the first two periods and by 0.36 or 0.33 C-degrees in the third period. By outlining the potential effectiveness of specific measures in preventing overheating discomfort under climate change conditions, the findings significantly contribute to climate change adaptation of log houses and buildings in general. These findings can be used as design guidelines for future buildings and to formulate future building regulations as well as a decision -making support for policy -makers.
C1 [Pajek, Luka; Mozina, Matic; Kosir, Mitja] Univ Ljubljana, Fac Civil & Geodet Engn, Jamova 2, Ljubljana 1000, Slovenia.
   [Nadarajah, Pravin Diliban; Singh, Manoj Kumar] Shiv Nadar Inst Eminence Univ, Dept Civil Engn, Greater Noida 201314, Uttar Pradesh, India.
   [Singh, Manoj Kumar] Shiv Nadar Inst Eminence Univ, Dept Civil Engn, Greater Noida 201314, Uttar Pradesh, India.
C3 University of Ljubljana
RP Singh, MK (corresponding author), Shiv Nadar Inst Eminence Univ, Dept Civil Engn, Greater Noida 201314, Uttar Pradesh, India.
EM mksinghtu@gmail.com
RI Pajek, Luka/AAT-6487-2020; Singh, Manoj/D-1366-2012
OI Singh,, Manoj Kumar/0000-0002-7696-846X; Nadarajah, Pravin
   Diliban/0000-0002-1467-8598
FU Slovenian Research and Innovation Agency [P2-0158]
FX The first and the last authors acknowledge the financial support from
   the Slovenian Research and Innovation Agency (research core funding No.
   P2-0158) .
CR Adekunle TO, 2016, BUILD ENVIRON, V103, P21, DOI 10.1016/j.buildenv.2016.04.001
   Al-Rukaibawi LS, 2021, CASE STUD THERM ENG, V28, DOI 10.1016/j.csite.2021.101516
   [Anonymous], 2016, Elements
   [Anonymous], 2019, EN16798-1:2019
   [Anonymous], 2014, MEASUREMENT ENERGY D
   [Anonymous], 2021, WMO-No. 1290
   ARSO, 2022, Archives of Slovenian Environment Agency
   ARSO, 2022, About us
   Ascione F, 2017, SOL ENERGY, V154, P34, DOI 10.1016/j.solener.2017.01.022
   Ashrae, 2009, ASHRAE HDB FUND
   Belcher S. E., 2005, Building Services Engineering Research & Technology, V26, P49, DOI 10.1191/0143624405bt112oa
   Benestad RE, 2008, Heating degree days, cooling degree days and precipitation in Europe - Analysis for the CELECT project
   Berger T, 2016, J BUILD ENG, V5, P86, DOI 10.1016/j.jobe.2015.11.005
   Bertalanic R., 2018, Assessment report of climate change in Slovenia until the end of the 21st century
   Carlucci S, 2018, BUILD ENVIRON, V137, P73, DOI 10.1016/j.buildenv.2018.03.053
   D'Orazio M, 2012, ENERG BUILDINGS, V55, P439, DOI 10.1016/j.enbuild.2012.09.009
   DesignBuilder Software Ltd - Home, 2022, About us
   Dodoo A, 2016, ENERGY, V97, P534, DOI 10.1016/j.energy.2015.12.086
   Dong Y, 2021, BUILDINGS-BASEL, V11, DOI 10.3390/buildings11080330
   Eksi M, 2017, ENERG BUILDINGS, V145, P174, DOI 10.1016/j.enbuild.2017.04.017
   EnergyPlus Documentation, 2022, Engineering Reference: The Reference to EnergyPlus Calculations
   European Commission (EC), 2019, COM/2019/640 final, DOI [10.1017/CBO9781107415324.004, DOI 10.1017/CBO9781107415324.004]
   Fabrizio E, 2015, ENERGIES, V8, P2548, DOI 10.3390/en8042548
   Giuliani G., 2004, Impacts of summer 2003 heat wave in Europe
   Houghton J., 2015, Global Warming: the Complete Briefing, Vfifth
   Hudobivnik B, 2016, APPL ENERG, V178, P363, DOI 10.1016/j.apenergy.2016.06.036
   Hulme M, 1999, PROG PHYS GEOG, V23, P283, DOI 10.1177/030913339902300208
   Intergovernmental Panel on Climate Change (IPCC), 2021, Climate Change 2021: The Physical Science Basis
   Jaffal I, 2012, RENEW ENERG, V43, P157, DOI 10.1016/j.renene.2011.12.004
   Jentsch MF, 2008, ENERG BUILDINGS, V40, P2148, DOI 10.1016/j.enbuild.2008.06.005
   Jentsch MF, 2013, RENEW ENERG, V55, P514, DOI 10.1016/j.renene.2012.12.049
   Karyono K, 2020, DEV BUILT ENVIRON, V4, DOI 10.1016/j.dibe.2020.100032
   Kazanci O.B., 2019, PROC 2019 ASHRAE ANN
   Kosonen A, 2020, ENERG BUILDINGS, V228, DOI 10.1016/j.enbuild.2020.110449
   Kuczynski T, 2021, BUILD ENVIRON, V204, DOI 10.1016/j.buildenv.2021.108126
   Mima S, 2015, ENVIRON MODEL ASSESS, V20, P303, DOI 10.1007/s10666-015-9449-3
   Moazami A, 2017, ENRGY PROCED, V132, P640, DOI 10.1016/j.egypro.2017.09.701
   Mozina M., 2023, Defining the calibration process for building thermal performance simulation: a case study of a singlefamily log house (under review), DOI [10.2139/ssrn.4349043, DOI 10.2139/SSRN.4349043]
   Oropeza-Perez I, 2018, RENEW SUST ENERG REV, V82, P531, DOI 10.1016/j.rser.2017.09.059
   Päätalo J, 2016, ENRGY PROCED, V96, P345, DOI 10.1016/j.egypro.2016.09.157
   Pajek L, 2023, J BUILD ENG, V63, DOI 10.1016/j.jobe.2022.105462
   Pajek L, 2022, ENERG BUILDINGS, V261, DOI 10.1016/j.enbuild.2022.111947
   Pajek L, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13126791
   Pajek L, 2021, APPL ENERG, V297, DOI 10.1016/j.apenergy.2021.117116
   Pajek L, 2017, J CLEAN PROD, V156, P939, DOI 10.1016/j.jclepro.2017.04.098
   Raftery Paul., 2009, Building Simulation, P1199
   Rodrigues LT, 2013, SUSTAIN CITIES SOC, V7, P1, DOI 10.1016/j.scs.2012.03.004
   Squier M, 2016, BUILD ENVIRON, V107, P235, DOI 10.1016/j.buildenv.2016.07.025
   Staszczuk A, 2021, ENERGY, V228, DOI 10.1016/j.energy.2021.120482
   University of Southampton Energy and Climate Change Division, CCWorldWeatherGen - Climate Change World Weather File Generator for WorldWide Weather Data 2020
   van Hooff T, 2016, ENERGY, V94, P811, DOI 10.1016/j.energy.2015.11.036
   Vidrih B, 2008, INT J ENERG RES, V32, P1016, DOI 10.1002/er.1410
   Vijayaraghavan K, 2016, RENEW SUST ENERG REV, V57, P740, DOI 10.1016/j.rser.2015.12.119
   Vilceková S, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su122410557
   Vinha J, 2015, BUILD ENVIRON, V93, P128, DOI 10.1016/j.buildenv.2015.06.011
   Watson RT, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, pIX
   Zavrl E., 2022, Sustainable Cities and Society, DOI 10.1016/j.scs.2022.104031
   Zavrl E, 2020, STROJ VESTN-J MECH E, V66, P3, DOI 10.5545/sv-jme.2019.6244
NR 58
TC 4
Z9 4
U1 1
U2 8
PU ELSEVIER SCIENCE SA
PI LAUSANNE
PA PO BOX 564, 1001 LAUSANNE, SWITZERLAND
SN 0378-7788
EI 1872-6178
J9 ENERG BUILDINGS
JI Energy Build.
PD MAR 15
PY 2024
VL 307
AR 113951
DI 10.1016/j.enbuild.2024.113951
EA FEB 2024
PG 18
WC Construction & Building Technology; Energy & Fuels; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Energy & Fuels; Engineering
GA KJ4J9
UT WOS:001179576500001
OA Green Published
DA 2025-01-10
ER

PT J
AU Ndimbo, GK
   Yu, LR
   Buma, AAN
AF Ndimbo, Gabriel Kanuti
   Yu, Lerong
   Buma, Andam Andin Ndi
TI ICTs, smallholder agriculture and farmers' livelihood improvement in
   developing countries: Evidence from Tanzania
SO INFORMATION DEVELOPMENT
LA English
DT Article; Early Access
DE ICTs; smallholder agriculture; livelihood improvement; developing
   countries; Tanzania
ID QUALITATIVE COMPARATIVE-ANALYSIS; CLIMATE-CHANGE ADAPTATION;
   COMMUNICATION TECHNOLOGIES; INFORMATION-SOURCES
AB Information and Communication Technologies (ICTs) are among the profound tools to help the poor and marginalized rural smallholder farmers make a difference in their lives. This paper seeks to understand how the recent development of ICTs helps increase agricultural productivity and improve smallholder farmers' livelihoods in Tanzania. We employed a fuzzy sets Qualitative Comparative Analysis (fsQCA) technique to select the most relevant 24 literature from 2163 literature and analyze the drivers (conditions) that influence ICT use among the smallholder farmers, which in turn leads to increased agricultural productivity and improved farmers' livelihoods (outcomes). In addition, the authors conducted in-depth interviews with some local smallholder farmers in Tanzania's same regions, as shown in the reviewed literature, to understand how ICTs worked in the field. Findings revealed that ICTs had been increasingly used for and directly linked with agricultural transformation, increased agricultural productivity and improved rural livelihoods in Tanzania in the past two decades. Smallholder farmers rely on ICT tools, particularly mobile phones and radios, to access agricultural-related information, which helps them increase agricultural productivity. The limited number of public extension service agents forces most smallholder farmers to opt for ICTs as an alternative source of agricultural information. In this case, the agricultural extension department from the ministry of agriculture should work closely with telecom, broadcasting companies and other stakeholders to strengthen and initiate more appropriate ICT infrastructure and services targeting the smallholder farmers.
C1 [Ndimbo, Gabriel Kanuti; Yu, Lerong; Buma, Andam Andin Ndi] China Agr Univ, Coll Humanities & Dev Studies, Beijing, Peoples R China.
   [Ndimbo, Gabriel Kanuti; Yu, Lerong; Buma, Andam Andin Ndi] Mkwawa Univ, Fac Humanities & Social Sci, Coll Educ, Iringa, Tanzania.
C3 China Agricultural University
RP Yu, LR (corresponding author), China Agr Univ, Coll Humanities & Dev Studies, Beijing, Peoples R China.
EM yulerong@cau.edu.cn
RI Ndimbo, Gabriel Kanuti/GWZ-2149-2022
OI Yu, Lerong/0000-0003-3185-6699; Ndimbo, Gabriel
   Kanuti/0000-0002-9176-8423
FU National Social Science Foundation of China [21BGL212]
FX Acknowledgements This work was supported by the National Social Science
   Foundation of China under Grant [21BGL212].
CR Aker JC, 2016, AGR ECON-BLACKWELL, V47, P35, DOI 10.1111/agec.12301
   Angello Consolata, 2015, International Journal of Information Communication Technologies and Human Development, V7, P20, DOI 10.4018/ijicthd.2015040102
   [Anonymous], 2017, ICT in agriculture: Connecting smallholders to knowledge, networks, and institutions, DOI [DOI 10.1596/978-1-4648-1002-2, 10.1596/978-1- 4648-1002-2]
   Asenso-Okyere K., 2012, 015 UN DEP PROGR REG
   Barakabitze AA, 2015, ELECTR J INF SYS DEV, V70
   Barakabitze AA, 2017, ELECTR J INF SYS DEV, V78
   Benard R, 2019, J INF COMMUN ETHICS, V18, P91, DOI 10.1108/JICES-11-2018-0085
   Boyce C., 2006, PATHFINDER INTERNATI
   Busungu C., 2019, International Journal of Research -GRANTHAALAYAH, V7, P248
   Choi YC, 2015, PROCD SOC BEHV, V197, P2182, DOI 10.1016/j.sbspro.2015.07.354
   Coduras A, 2016, J BUS RES, V69, P1265, DOI 10.1016/j.jbusres.2015.10.090
   Deichmann U, 2016, AGR ECON-BLACKWELL, V47, P21, DOI 10.1111/agec.12300
   Deterding NM, 2021, SOCIOL METHOD RES, V50, P708, DOI 10.1177/0049124118799377
   Epaphra M., 2017, Modern Economy, V08, P111, DOI [DOI 10.4236/ME.2017.81008, https://doi.org/10.4236/me.2017.81008]
   Eppich WJ., 2019, Healthcare Simulation Research, P85, DOI [DOI 10.1007/978-3-030-26837-4_12, 10.1007/978-3-030-26837-4_12]
   Eskia S., 2019, Master Thesis
   FAO, 2018, E AGR PROM PRACT UP
   FAO, 2014, 47 UN FAO, V47
   Fernández-Esquinas M, 2021, SCIENTOMETRICS, V126, P6349, DOI 10.1007/s11192-021-04012-y
   Folitse BY, 2019, INFORM DEV, V35, P564, DOI 10.1177/0266666918772005
   Harris RW, 2016, INFORM TECHNOL DEV, V22, P177, DOI 10.1080/02681102.2015.1018115
   Hella JP., 2013, STUDY ESTABLISH RETU
   Isaya EL, 2018, INFORM DEV, V34, P77, DOI 10.1177/0266666916675016
   Kante M, 2016, AIMS AGRIC FOOD, V1, P315, DOI 10.3934/agrfood.2016.3.315
   Karanja L., 2020, DATA SCI J, V19, P7, DOI [10.5334/dsj-2020-007, DOI 10.5334/DSJ-2020-007]
   Khan NA, 2020, INFORM DEV, V36, P390, DOI 10.1177/0266666919864126
   Kiberiti Boaz Stanslaus, 2016, International Journal of ICT Research in Africa and the Middle East, V5, P35, DOI 10.4018/IJICTRAME.2016010103
   Krone M, 2016, INFORM DEV, V32, P1503, DOI 10.1177/0266666915611195
   Lindgren BM, 2020, INT J NURS STUD, V108, DOI 10.1016/j.ijnurstu.2020.103632
   Lwoga Edda Tandi, 2010, International Information and Library Review, V42, P174, DOI 10.1016/j.iilr.2010.07.006
   Lwoga ET, 2010, ELECTR J INF SYS DEV, V43
   Mapiye O, 2023, INFORM DEV, V39, P638, DOI 10.1177/02666669211064847
   Marx A, 2014, EUR POLIT SCI REV, V6, P115, DOI 10.1017/S1755773912000318
   Mendel JM, 2012, INFORM SCIENCES, V202, P1, DOI 10.1016/j.ins.2012.02.039
   Min S, 2020, J ASIAN ECON, V70, DOI 10.1016/j.asieco.2020.101219
   Minot N., 2016, Contract farming in developing countries: Theory, practice, P127
   Misaki E, 2016, ELECTR J INF SYS DEV, V74
   Msoffe GEP, 2016, INFORM DEV, V32, P1085, DOI 10.1177/0266666915587749
   Mtega WP, 2019, J LIBR INF SCI, V51, P629, DOI 10.1177/0961000617742456
   Mtega WP, 2013, ELECTR J INF SYS DEV, V56
   Mwakaje A.G., 2010, J INFORM TECHNOLOGY, V10, P111
   Mwalukasa N, 2018, GLOB KNOWL MEM COMMU, V67, P566, DOI 10.1108/GKMC-01-2018-0006
   Mwalukasa N, 2013, LIBR REV, V62, P266, DOI 10.1108/LR-12-2011-0096
   Ndimbo GK., 2021, J GLOBAL RESOURCES, V7, P9
   Nyamba S.Y., 2012, INT J INFORM COMMUNI, V2, P558
   Nyamba SY, 2021, RES TECHNOLOGY EXTEN, V11, P181
   Nyambo B, 2013, J AGRIC EDUC EXT, V19, P73, DOI 10.1080/1389224X.2012.746004
   Okello DO., 2020, Cogent Food and Agriculture, V6, P1
   Ortiz-Crespo B, 2021, INT J AGR SUSTAIN, V19, P566, DOI 10.1080/14735903.2020.1720474
   Panganiban GGF, 2019, J ASIAN PUBLIC POLIC, V12, P51, DOI 10.1080/17516234.2018.1499479
   Quandt A, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0237337
   Ragin C.C., 2008, REDISIGNING SOCIAL I, DOI 10.7208/chicago/9780226702797.001.0001
   Ragin CC., 1987, The Comparative Method: Moving beyond Qualitative and Quantitative Strategies, DOI DOI 10.1525/J.CTT1PNX57
   Rihoux B, 2009, CONFIGURATIONAL COMP
   Rubinson C, 2013, QUAL QUANT, V47, P2847, DOI 10.1007/s11135-012-9694-3
   Sanga C., 2016, TANZANIA INT J ED DE, V12, P108
   Sanga C. A., 2014, TECHNOLOGY DEV PLATF, P282, DOI [10.4018/978-1-4666-4900-2.ch015, DOI 10.4018/978-1-4666-4900-2.CH015]
   Sanga Camilius., 2013, The International Journal of Education and Development using Information and Communication Technology, V9, P80
   Schelenz L, 2022, INFORM TECHNOL DEV, V28, P165, DOI 10.1080/02681102.2021.1937473
   Sife AS, 2010, ELECTR J INF SYS DEV, V42
   Silvestri S, 2021, INT J AGR SUSTAIN, V19, P583, DOI 10.1080/14735903.2020.1750796
   Subejo, 2019, Indonesian Journal of Geography, V51, P332, DOI [10.22146/ijg.41706, DOI 10.22146/IJG.41706]
   TCRA, 2022, Communications Statistics Quarter 3-2021/2022 (Issue March)
   Tumbo SD, 2018, INT REV RES OPEN DIS, V19, P299
   Valaei N, 2017, J BUS RES, V70, P224, DOI 10.1016/j.jbusres.2016.08.016
   Van Mieghem A, 2023, PROF DEV EDUC, V49, P551, DOI 10.1080/19415257.2020.1853593
   Wineman A, 2020, DEV POLICY REV, V38, P685, DOI 10.1111/dpr.12491
   World Bank, 2019, TANZ EC UPD DEC 2019
NR 68
TC 11
Z9 11
U1 7
U2 32
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0266-6669
EI 1741-6469
J9 INFORM DEV
JI Inf. Dev.
PD 2023 MAR 22
PY 2023
DI 10.1177/02666669231165272
EA MAR 2023
PG 20
WC Information Science & Library Science
WE Social Science Citation Index (SSCI)
SC Information Science & Library Science
GA 0A3DE
UT WOS:000951705800001
DA 2025-01-10
ER

PT J
AU Granco, G
   Caldas, M
   Bergtold, J
   Stamm, JLH
   Mather, M
   Sanderson, M
   Daniels, M
   Sheshukov, A
   Haukos, D
   Ramsey, S
AF Granco, Gabriel
   Caldas, Marcellus
   Bergtold, Jason
   Stamm, Jessica L. Heier
   Mather, Martha
   Sanderson, Matthew
   Daniels, Melinda
   Sheshukov, Aleksey
   Haukos, David
   Ramsey, Steven
TI Local environment and individuals' beliefs: The dynamics shaping public
   support for sustainability policy in an agricultural landscape
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Article
ID CLIMATE-CHANGE; ECOSYSTEM SERVICES; COUPLED HUMAN; LAND-USE; VBN THEORY;
   VALUES; SCIENCE; NORMS; IMPACTS; ACCEPTABILITY
AB Agricultural landscapes are the leading edge in the advancement of sustainability and climate change adaptation. The purpose of this study is to endogenize culture as shaped by natural-cultural feedback into individuals' decision-making processes on sustainability policy support. We present an agent-based model in which an adaptive cultural decision-rule quantifies the probability of an agent deciding to support a wildlife area policy for the Smoky Hill River Watershed (SHRW) in Kansas, USA. By using an ABM to examine the watershed as a coupled natural and human system, we learned that agents would adopt a new behavior, voting for the policy, if the cultural conditions were right, with high levels of beliefs and norms for freshwater and its biota. Our results indicate that individuals in the SHRW are not engaged in caring for fish, plants, and bird richness in their rivers and playas with few individuals supporting the policy in the naive cultural setting (8.9 % of simulated population). However, enough agents would support the policy under a lower cultural threshold (40.7 % of simulated population). Our results show that sustain ability policies need to account for the local culture to gain support, and if a policy is culturally meaningful, it does not need to be cheap. For an agricultural landscape, such as those commonly found in the Central Great Plains, this study presents new levers for policymakers on the conditions needed to help assemble popular support for sustainability policies.
C1 [Granco, Gabriel] Calif State Polytech Univ Pomona, Dept Geog & Anthropol, 3801 West Temple Ave 5-150, Pomona, CA 91768 USA.
   [Caldas, Marcellus] Kansas State Univ, Dept Geog, Manhattan, KS 66506 USA.
   [Bergtold, Jason] Kansas State Univ, Dept Agr Econ, Manhattan, KS 66506 USA.
   [Stamm, Jessica L. Heier] Kansas State Univ, Dept Ind & Mfg Syst Engn, Manhattan, KS 66506 USA.
   [Mather, Martha; Haukos, David] Kansas State Univ, Div Biol, Kansas Cooperat Fish & Wildlife Res Unit, US Geol Survey, Manhattan, KS 66506 USA.
   [Sanderson, Matthew] Kansas State Univ, Dept Sociol Anthropol & Social Work, Manhattan, KS 66506 USA.
   [Daniels, Melinda] Stroud Water Res Ctr, Avondale, PA 19311 USA.
   [Sheshukov, Aleksey] Kansas State Univ, Dept Biol & Agr Engn, Manhattan, KS 66506 USA.
   [Ramsey, Steven] ERS, USDA, Kansas City, MO 64141 USA.
C3 California State University System; California State Polytechnic
   University Pomona; Kansas State University; Kansas State University;
   Kansas State University; United States Department of the Interior;
   United States Geological Survey; Kansas State University; Kansas State
   University; Kansas State University; United States Department of
   Agriculture (USDA)
RP Granco, G (corresponding author), Calif State Polytech Univ Pomona, Dept Geog & Anthropol, 3801 West Temple Ave 5-150, Pomona, CA 91768 USA.
EM ggranco@cpp.edu; caldasma@k-state.edu; bergtold@k-state.edu;
   jlhs@k-state.edu; mmather@k-state.edu; mattrs@k-state.edu;
   mdaniels@stroudcenter.org; ashesh@k-state.edu; dhaukos@k-state.edu;
   steven.ramsey2@usda.gov
RI Bergtold, Jason/AAA-1041-2022; Granco, Gabriel/L-7817-2019; Caldas,
   Marcellus/C-1955-2014; Sheshukov, Andrey/I-1193-2016
OI Sheshukov, Aleksey/0000-0002-4842-908X; Heier Stamm, Jessica
   L./0000-0002-5310-3543; Caldas, Marcellus/0000-0003-3086-7054; Granco,
   Gabriel/0000-0003-4348-6349
FU National Science Foundation, Dynamics of Coupled Natural and Human
   Systems Program [1313815]
FX This work was supported in part by the National Science Foundation,
   Dynamics of Coupled Natural and Human Systems Program, Award 1313815.
   Any findings and conclusions expressed in this material are those of the
   authors and do not necessarily reflect the views of the Na-tional
   Science Foundation. The Kansas Cooperative Fish and Wildlife Research
   Unit is a collaboration between Kansas State University, the U.S.
   Geological Survey, U.S. Fish and Wildlife Service, the Kansas Department
   of Wildlife, Parks, and Tourism (KDWPT) , and the Wildlife Management
   Institute. Any use of trade, firm, or product names is for descriptive
   purposes only and does not imply endorsement by the U.S. Government.
   This research was conducted under the auspices of Kansas State
   University IACUC Protocol #3773. The funders had no role in study
   design, data collection and analysis, decision to publish orpreparation
   of the manuscript.
CR Akamani K, 2016, J CONTEMP WAT RES ED, V158, P2, DOI 10.1111/j.1936-704X.2016.03215.x
   An L, 2014, ANN ASSOC AM GEOGR, V104, P723, DOI 10.1080/00045608.2014.910085
   Anebagilu PK, 2021, J ENVIRON MANAGE, V284, DOI 10.1016/j.jenvman.2021.112014
   Asbjornsen H, 2015, BIOSCIENCE, V65, P579, DOI 10.1093/biosci/biv051
   Aspinall R, 2017, LAND-BASEL, V6, DOI 10.3390/land6040081
   Bennear LS, 2005, ENVIRONMENT, V47, P22, DOI 10.3200/ENVT.47.2.22-39
   Bennett EM, 2015, CURR OPIN ENV SUST, V14, P76, DOI 10.1016/j.cosust.2015.03.007
   Benzoni W., 2007, Analysis of Social Issues and Public Policy, V7, P163, DOI [DOI 10.1111/J.1530-2415.2007.00129.X, 10.1111/j.1530-2415.2007.00129.x]
   Bouman T, 2020, GLOBAL ENVIRON CHANG, V62, DOI 10.1016/j.gloenvcha.2020.102061
   Braza M, 2017, CONSERV BIOL, V31, P848, DOI 10.1111/cobi.12909
   Brown JC, 2014, APPL GEOGR, V53, P141, DOI 10.1016/j.apgeog.2014.05.021
   Caldas MM, 2015, P NATL ACAD SCI USA, V112, P8157, DOI 10.1073/pnas.1510010112
   Caldas MM, 2014, BIOMASS BIOENERG, V66, P223, DOI 10.1016/j.biombioe.2014.04.009
   Carpenter SR, 2009, P NATL ACAD SCI USA, V106, P1305, DOI 10.1073/pnas.0808772106
   Casanova-Pérez L, 2016, AGROECOL SUST FOOD, V40, P848, DOI 10.1080/21683565.2016.1204582
   Castilla-Rho JC, 2017, NAT HUM BEHAV, V1, P640, DOI 10.1038/s41562-017-0181-7
   Choi H, 2015, INT J HOSP MANAG, V51, P87, DOI 10.1016/j.ijhm.2015.08.004
   Clark WC, 2007, P NATL ACAD SCI USA, V104, P1737, DOI 10.1073/pnas.0611291104
   Cook BR, 2012, J ENVIRON MANAGE, V109, P93, DOI 10.1016/j.jenvman.2012.05.016
   de Groot JIM, 2009, CONSERV LETT, V2, P61, DOI 10.1111/j.1755-263X.2009.00048.x
   Dietz T, 2007, RURAL SOCIOL, V72, P185, DOI 10.1526/003601107781170026
   Doherty KL, 2016, NAT CLIM CHANGE, V6, P879, DOI 10.1038/NCLIMATE3025
   Eakin H, 2017, P NATL ACAD SCI USA, V114, P186, DOI 10.1073/pnas.1620081114
   Ellis EC, 2018, SUSTAIN SCI, V13, P119, DOI 10.1007/s11625-017-0513-6
   Fencl JS, 2017, ECOSPHERE, V8, DOI 10.1002/ecs2.1973
   Filatova T, 2013, ENVIRON MODELL SOFTW, V45, P1, DOI 10.1016/j.envsoft.2013.03.017
   Fishburn IS, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0004996
   Foley JA, 2011, NATURE, V478, P337, DOI 10.1038/nature10452
   Fornara F, 2016, J ENVIRON PSYCHOL, V45, P1, DOI 10.1016/j.jenvp.2015.11.001
   Gao JG, 2017, AGR ECOSYST ENVIRON, V247, P33, DOI 10.1016/j.agee.2017.06.019
   Gao JG, 2017, CATENA, V156, P353, DOI 10.1016/j.catena.2017.04.010
   Ghorbani A, 2017, ENVIRON MODELL SOFTW, V96, P30, DOI 10.1016/j.envsoft.2017.06.039
   Granco G, 2019, SCI TOTAL ENVIRON, V695, DOI 10.1016/j.scitotenv.2019.133769
   Groeneveld J, 2017, ENVIRON MODELL SOFTW, V87, P39, DOI 10.1016/j.envsoft.2016.10.008
   Hansla A, 2008, J ENVIRON PSYCHOL, V28, P1, DOI 10.1016/j.jenvp.2007.08.004
   Harring N, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9050679
   Haukos DA, 2016, J ENVIRON MANAGE, V181, P552, DOI 10.1016/j.jenvman.2016.07.011
   Head BW, 2016, LANDSCAPE URBAN PLAN, V154, P1, DOI 10.1016/j.landurbplan.2016.07.011
   Henry AD, 2012, ORGAN ENVIRON, V25, P238, DOI 10.1177/1086026612456538
   Hiratsuka J, 2018, TRANSPORT RES F-TRAF, V53, P74, DOI 10.1016/j.trf.2017.12.015
   Hoyos D, 2015, SCI TOTAL ENVIRON, V505, P1100, DOI 10.1016/j.scitotenv.2014.10.066
   Huang L, 2019, SCI TOTAL ENVIRON, V651, P1796, DOI 10.1016/j.scitotenv.2018.09.260
   Jones D, 2009, NATURE, V457, P780, DOI 10.1038/457780a
   Kandasamy J, 2014, HYDROL EARTH SYST SC, V18, P1027, DOI 10.5194/hess-18-1027-2014
   Lehrter R.J., 2018, LARGE SCALE DRIVERS
   Lindkvist E, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0175532
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   Markowska J, 2020, J ENVIRON MANAGE, V259, DOI 10.1016/j.jenvman.2019.109626
   McCright AM, 2011, GLOBAL ENVIRON CHANG, V21, P1163, DOI 10.1016/j.gloenvcha.2011.06.003
   Meckling J, 2015, SCIENCE, V349, P1170, DOI 10.1126/science.aab1336
   Nilsson Andreas, 2008, European Environment, V18, P203, DOI 10.1002/eet.477
   Nisbet MC, 2009, ENVIRONMENT, V51, P12, DOI 10.3200/ENVT.51.2.12-23
   Noël PH, 2017, ENVIRON MODELL SOFTW, V92, P1, DOI 10.1016/j.envsoft.2017.02.010
   O'Connell PE, 2014, HYDROL EARTH SYST SC, V18, P155, DOI 10.5194/hess-18-155-2014
   Ostrom E, 2000, J ECON PERSPECT, V14, P137, DOI 10.1257/jep.14.3.137
   Ostrom E, 2009, SCIENCE, V325, P419, DOI 10.1126/science.1172133
   Peng W, 2020, NATURE, V588, P225, DOI 10.1038/d41586-020-03392-0
   Price JC, 2014, J RURAL STUD, V34, P65, DOI 10.1016/j.jrurstud.2013.10.001
   Ramsey SM, 2021, AM J AGR ECON, V103, P1314, DOI 10.1111/ajae.12157
   Roobavannan M, 2018, HYDROL EARTH SYST SC, V22, P1337, DOI 10.5194/hess-22-1337-2018
   Rosenzweig C, 2014, P NATL ACAD SCI USA, V111, P3268, DOI 10.1073/pnas.1222463110
   Rudel TK, 2020, AMBIO, V49, P74, DOI 10.1007/s13280-018-01143-0
   Sanderson MR, 2018, CLIMATIC CHANGE, V150, P259, DOI 10.1007/s10584-018-2283-2
   Sanderson MR, 2017, WATER RESOUR RES, V53, P6725, DOI 10.1002/2017WR020659
   Sayama H, 2013, COMPLEX ADAPT SYST M, V1, DOI 10.1186/2194-3206-1-2
   Schlüter M, 2014, ECOL SOC, V19, DOI 10.5751/ES-05782-190136
   Schulze J, 2017, JASSS-J ARTIF SOC S, V20, DOI 10.18564/jasss.3423
   Sheehan O, 2018, P NATL ACAD SCI USA, V115, P3628, DOI 10.1073/pnas.1714558115
   Smith LM, 2011, ECOL APPL, V21, pS82, DOI 10.1890/09-1133.1
   South EJ, 2019, HYDROBIOLOGIA, V829, P323, DOI 10.1007/s10750-018-3842-2
   Steg L, 2005, J ENVIRON PSYCHOL, V25, P415, DOI 10.1016/j.jenvp.2005.08.003
   Steg L, 2016, ANNU REV ENV RESOUR, V41, P277, DOI 10.1146/annurev-environ-110615-085947
   Stern PC, 2016, NAT CLIM CHANGE, V6, P547, DOI 10.1038/NCLIMATE3027
   Stern PaulC., 1999, VALUE BELIEF NORM TH, DOI 10.2307/2083693
   STERN PC, 1995, ENVIRON BEHAV, V27, P723, DOI 10.1177/0013916595276001
   Tadaki M, 2020, WATER ALTERN, V13, P302
   Talhelm T, 2020, CURR OPIN PSYCHOL, V32, P81, DOI 10.1016/j.copsyc.2019.06.031
   Toyokawa W, 2019, NAT HUM BEHAV, V3, P183, DOI 10.1038/s41562-018-0518-x
   Tsai JS, 2007, WETLANDS, V27, P683, DOI 10.1672/0277-5212(2007)27[683:IOLUAW]2.0.CO;2
   Walker BJA, 2018, ENVIRON BEHAV, V50, P781, DOI 10.1177/0013916517713299
   Wolske KS, 2017, ENERGY RES SOC SCI, V25, P134, DOI 10.1016/j.erss.2016.12.023
   Wu YE, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-34116-0
   Zhang H, 2020, WETL ECOL MANAG, V28, P85, DOI 10.1007/s11273-019-09696-x
NR 83
TC 9
Z9 11
U1 3
U2 39
PU ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
PI LONDON
PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
SN 0301-4797
EI 1095-8630
J9 J ENVIRON MANAGE
JI J. Environ. Manage.
PD JAN 1
PY 2022
VL 301
AR 113776
DI 10.1016/j.jenvman.2021.113776
EA OCT 2021
PG 12
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA WD2FF
UT WOS:000704762600005
PM 34619587
DA 2025-01-10
ER

PT J
AU Eticha, TK
   Rikiti, AK
   Abdisa, SS
   Ejeta, AG
AF Eticha, Tolera Kuma
   Rikiti, Abdi Kitaba
   Abdisa, Soresa Shuma
   Ejeta, Adugna Gindaba
TI Assessing effects of rainfall on farming activities as the predictor of
   climate changes in Sadi Chanka District of Kellem Wolega, Oromia,
   Ethiopia
SO JOURNAL OF WATER AND CLIMATE CHANGE
LA English
DT Article
DE agriculture; climate change; farmers; rainfall; yields
AB This study was carried out in Sadi Chanka District (Ethiopia) to assess effects of rainfall on farming activities as the predictor of climate change. This study used a mixed approach. Purposive sample sampling technique was used to select representative kebeles, namely Elkofale, Keto Shan and Komba, which were chosen, and 128 farmers were involved in a survey for each kebeles. A simple random sampling technique was used to select representative farmers of the study area. In this study, interview, focus group discussion, questionnaires and site observation were employed as data collection tools. SPSS Version 20 was used for data analysis. The majority of the respondent farmers revealed that their productivity status had fluctuated patterns due to untimely rainfall and scarcity of water occasionally. The present study confirmed that choices of agricultural activities by farmers were linked with the change in climate and irregular distribution of rainfall patterns. The ecology of farmland in Sadi Chanka has been degraded critically. This work had also clearly demonstrated the existence of farmers' choices of agricultural activities, including coffee production, poultry production and productions of fruits like mango and papaya. Community as whole and concerned governmental sectors should be alerted on participatory ecological management and climate change mitigation. HIGHLIGHTS
   It provides baseline information for policymaker on the status of climate change. It will cast the future fate of trends of climate change. It had suggested the mitigation means of climate change adaptation.
C1 [Eticha, Tolera Kuma] Ambo Univ, Coll Nat & Computat Sci, Dept Biol, Ambo, Ethiopia.
   [Rikiti, Abdi Kitaba] Dambi Dollo Univ, Coll Nat & Computat Sci, Dept Biol, Dambi Dollo, Ethiopia.
   [Abdisa, Soresa Shuma] Dambi Dollo Univ, Coll Agr & Vet Med, Dambi Dollo, Ethiopia.
   [Ejeta, Adugna Gindaba] Dambi Dollo Univ, Coll Nat & Computat Sci, Dambi Dollo, Ethiopia.
C3 Ambo University
RP Eticha, TK (corresponding author), Ambo Univ, Coll Nat & Computat Sci, Dept Biol, Ambo, Ethiopia.
EM tolerakuma@gmail.com
RI Kuma, Tolera/AAX-7207-2021
OI Kuma, Tolera/0000-0002-0718-2578
FU Dambi Dollo University
FX The study was funded by the Dambi Dollo University, so our heart full
   thanks go to Dambi Dollo University research and technology transfer and
   the teams at all levels. We must also acknowledge Sadi Chanka District
   Office for providing us relevant materials and allowing us to do
   research in their District. I also extend my appreciation to farmers who
   dwell in Sadi Chanka District for their positive response during our
   research by being voluntary participants in our research work process.
CR Amsalu A., 2011, CHALLENGES LOCAL COM
   Bausch C., 2011, Addressing the challenge of global climate mitigation. An assessment of existing venues and institutions
   Belloumi M., 2014, 0003 AGRODEP 0003 AGRODEP
   Capacity Strengthening in theLeastDevelopedCountries (LDCS)forAdaptation toClimateChange(CLACC), 2004, ADV IMP CLIM CHANG D ADV IMP CLIM CHANG D
   Climate Challenges for Africa, 2012, CLIMATE CHANGE CHALL
   Dahal D.S., 2011, IMPACT CLIMATE CHANG
   Ethiopia Climate Action (EC), 2016, ETH CLIM ACT REP 201 ETH CLIM ACT REP 201
   FAO (Food and Agriculture Organization of the United Nations), 2016, E AFR CLIM SMART AGR E AFR CLIM SMART AGR
   [Field C.B. IPCC. IPCC.], 2011, Workshop Report of the Intergovernmental Panel on Climate Change Workshop on Impacts of Ocean Acidification on Marine Biology and Ecosystems, DOI DOI 10.1093/WENTK/9780199996698.003.0009
   Gashaw T., 2014, J BIOL AGR HEALTHCAR, V4, P15
   Getnet M, 2014, AGR WATER MANAGE, V137, P104, DOI 10.1016/j.agwat.2014.02.014
   Haregeweyn N, 2016, REG ENVIRON CHANGE, V16, P951, DOI 10.1007/s10113-015-0813-2
   Mariki Stephen W.L., 2001, ROLE FORESTRY POVERT
   Mugenda OM., 1999, RES METHODS QUANTITA
   Nigatu Z.M., 2016, AM J CLIMATE CHANGE, V5, P27, DOI [10. 4236/ajcc.2016.51005, DOI 10.4236/AJCC.2016.51005, 10.4236/ajcc.2016.51005]
   Ochieng J, 2016, NJAS-WAGEN J LIFE SC, V77, P71, DOI 10.1016/j.njas.2016.03.005
   Ongoma V., 2013, INT J AGR SCI RES, V2, P307
   Pachauri RK, 2014, 2014 IEEE STUDENTS' CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER SCIENCE (SCEECS)
   Policy Brief, 2017, ACCESS WATER INCOME
   Tesfaye K., 2016, EIAR 50 YEAR JUBILEE, P86
   Testa F., 2017, ASSESSING CLIMATE CH
   UNFCCC F., 2007, UN FRAM CONV CLIM CH
   USEPA, 2014, CLIMATE CHANGE ADAPT
   Zizinga A, 2017, CLIMATE, V5, DOI 10.3390/cli5040089
NR 24
TC 3
Z9 3
U1 2
U2 9
PU IWA PUBLISHING
PI LONDON
PA REPUBLIC-EXPORT BLDG, UNITS 1 04 & 1 05, 1 CLOVE CRESCENT, LONDON,
   ENGLAND
SN 2040-2244
EI 2408-9354
J9 J WATER CLIM CHANGE
JI J. Water Clim. Chang.
PD NOV
PY 2021
VL 12
IS 7
SI SI
BP 3297
EP 3307
DI 10.2166/wcc.2021.363
EA JUL 2021
PG 11
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA WT7TW
UT WOS:000674977500001
OA gold
DA 2025-01-10
ER

PT J
AU Ljubojevic, M
AF Ljubojevic, Mirjana
TI Horticulturalization of the 21st century cities
SO SCIENTIA HORTICULTURAE
LA English
DT Article
DE Biopesticides; Dwarf growth; Ornamental fruit species; Urban
   horticulture
ID COLUMNAR GROWTH HABIT; ORGANIC FERTILIZATION; ECOSYSTEM SERVICES;
   FRUIT-TREES; PEACH-TREES; RESISTANCE; GARDENS; NECTARINE; PLANTS;
   BIOPESTICIDES
AB Responding to the developmental challenges, as well as to the global societal and environmental urge, urban horticultural production, especially neglected fruit production can add value to the urban greenery and its ecosystem services, increasing individual gardening or community involvement, encouraging small and medium-sized allotment gardening. Albeit numerous tropical, sub-Mediterranean and 'wild' temperate fruit species can be applied for indoor and outdoor fruit gardening, the paper focuses on main temperate fruit species, with traditionally large canopies, grown in conventional orchards whose alterations enabled varieties and forms that completely fit urban constraints and demands. Urban gardening with analyzed species of a specific habitus or performances will allow horizontal and vertical, permanent or temporary, stationary or mobile greening, which influences climate change adaptation and mitigation, human involvement, socialization, food supply, harm reduction and environment conservation. Paper surveys numerous nature-based solutions that enable safe, successful and sustainable urban fruit production - species, selections and varieties with naturally inherited resistance/tolerance to most important disease causing agents and pests, and biopesticides that can be applied outwardly. Owing to the proposed 'ornafruits' urban growing, horticulturalization should contribute to renaturing not only 21st century cities but re-naturing citizens as well. Combining presented possibilities for fruit growing expansion horticulturalization should have the problem-solving orientation towards greening the economy (increased independent healthy food production) and economizing the greenery (added value to the urban greenery), while 'sustainability' should finally convert from daily language expression to the daily routine of living.
C1 [Ljubojevic, Mirjana] Univ Novi Sad, Fac Agr, Trg Dositeja Obradovica 8, Novi Sad 21000, Serbia.
C3 University of Novi Sad
RP Ljubojevic, M (corresponding author), Univ Novi Sad, Fac Agr, Trg Dositeja Obradovica 8, Novi Sad 21000, Serbia.
EM ikrasevm@polj.uns.ac.rs
RI Ljubojević, Mirjana/AAF-2028-2020
OI Ljubojevic, Mirjana/0000-0001-6887-2807
FU Philip Morris Company; Center for leadership development; L'Oreal,
   UNESCO; Serbian Ministry of Education and Science; University of Novi
   Sad
FX The author would like to express gratitude to her former Mentor, Dr.
   Vladislav Ognjanov for providing the photographs used in this
   Manuscript, as well as introducing the Author to the landscaping with
   fruit species. Scientific, practical as well as socioeconomic
   contribution of the topic presented in this paper was recognized and
   awarded by three prestigious national awards: `Startup for science'
   (raised by Philip Morris Company and the Center for leadership
   development), `For Women in Science' (raised by L'Oreal, UNESCO and
   Serbian Ministry of Education and Science), and `Dr. Zoran Dindi ' c'
   award for the best young researcher in 2017 (The University of Novi
   Sad), to which the Author owes a great gratitude.
CR ADEMOROTI CMA, 1986, ENVIRON POLLUT B, V11, P241, DOI 10.1016/0143-148X(86)90043-1
   Al-Huqail AA, 2019, MOLECULES, V24, DOI 10.3390/molecules24040700
   Al-Mayahi A, 2019, URBAN FOR URBAN GREE, V38, P286, DOI 10.1016/j.ufug.2019.01.011
   Andersen KL, 2018, PLANT PATHOL, V67, P682, DOI 10.1111/ppa.12765
   [Anonymous], 2015, EU RES INNOVATION PO
   Antisari LV, 2015, AGRON SUSTAIN DEV, V35, P1139, DOI 10.1007/s13593-015-0308-z
   Baldi E, 2016, NUTR CYCL AGROECOSYS, V105, P39, DOI 10.1007/s10705-016-9772-3
   Baldi E, 2014, SCI HORTIC-AMSTERDAM, V179, P174, DOI 10.1016/j.scienta.2014.09.029
   Basar H, 2005, J PLANT NUTR, V28, P2049, DOI 10.1080/01904160500311169
   Bors RH, 2005, ACTA HORTIC, P135, DOI 10.17660/ActaHortic.2005.667.19
   Brito VV, 2020, URBAN FOR URBAN GREE, V56, DOI 10.1016/j.ufug.2020.126835
   Brown SL, 2016, J ENVIRON QUAL, V45, P26, DOI 10.2134/jeq2015.07.0376
   C alinescu M., 2020, ACTA HORTIC, V1289, P61, DOI [10.17660/ActaHortic.2020.1289.9, DOI 10.17660/ACTAHORTIC.2020.1289.9]
   Cabral I, 2017, URBAN FOR URBAN GREE, V23, P44, DOI 10.1016/j.ufug.2017.02.008
   Caneva G, 2020, URBAN FOR URBAN GREE, V56, DOI 10.1016/j.ufug.2020.126866
   Cen Y, 2020, SCI HORTIC-AMSTERDAM, V265, DOI 10.1016/j.scienta.2020.109201
   Cespedes CL, 2015, ENVIRON RES, V142, P549, DOI 10.1016/j.envres.2015.08.004
   Cespedes CL, 2014, ENVIRON RES, V132, P391, DOI 10.1016/j.envres.2014.04.003
   Chen BY, 2015, SCI HORTIC-AMSTERDAM, V186, P172, DOI 10.1016/j.scienta.2015.02.025
   Cooper AM, 2020, PLANT DIRECT, V4, DOI 10.1002/pld3.198
   CUMMINS JN, 1982, FRUIT VARIETIES J, V36, P66
   Demasi S, 2019, SCI HORTIC-AMSTERDAM, V257, DOI 10.1016/j.scienta.2019.108702
   Denoyes-Rothan B, 2005, PHYTOPATHOLOGY, V95, P405, DOI 10.1094/PHYTO-95-0405
   Divrikli U, 2006, INT J FOOD SCI TECH, V41, P712, DOI 10.1111/j.1365-2621.2005.01140.x
   Djokic V, 2018, URBAN FOR URBAN GREE, V30, P247, DOI 10.1016/j.ufug.2017.05.014
   Dossett M, 2010, J AM SOC HORTIC SCI, V135, P438, DOI 10.21273/JASHS.135.5.438
   Edmondson JL, 2020, NAT FOOD, V1, P155, DOI 10.1038/s43016-020-0045-6
   Ercisli S, 2004, GENET RESOUR CROP EV, V51, P419, DOI 10.1023/B:GRES.0000023458.60138.79
   Ercisli S, 2009, SCI RES ESSAYS, V4, P715
   Eremin Gennadiy V., 2017, Proceedings of the Latvian Academy of Sciences Section B Natural Exact and Applied Sciences, V71, P173, DOI 10.1515/prolas-2017-0029
   Eurostat, URB EUR STAT CIT TOW URB EUR STAT CIT TOW
   Fazio G., 2013, NEW YORK FRUIT Q, V20, P25
   Fideghelli C, 2003, ACTA HORTIC, P279, DOI 10.17660/ActaHortic.2003.622.26
   Fischer M, 2001, ACTA HORTIC, P309, DOI 10.17660/ActaHortic.2001.557.40
   Gallagher CL, 2020, ELEMENTA-SCI ANTHROP, V8, DOI 10.1525/elementa.2020.004
   Galluzzi G, 2010, BIODIVERS CONSERV, V19, P3635, DOI 10.1007/s10531-010-9919-5
   Gjamovski V, 2011, SCI HORTIC-AMSTERDAM, V129, P742, DOI 10.1016/j.scienta.2011.05.032
   Hollender CA, 2016, NEW PHYTOL, V210, P227, DOI 10.1111/nph.13772
   Howard E, 2013, GARDEN CITIES MORROW
   Hu DY, 2005, HORTSCIENCE, V40, P1782, DOI 10.21273/HORTSCI.40.6.1782
   Hunte N, 2019, URBAN FOR URBAN GREE, V41, P313, DOI 10.1016/j.ufug.2019.04.010
   Hunter DM, 2009, HORTSCIENCE, V44, P1461, DOI 10.21273/HORTSCI.44.5.1461
   HUNTER DM, 1992, HORTSCIENCE, V27, P1331, DOI 10.21273/HORTSCI.27.12.1331
   Hunter DM, 2002, HORTSCIENCE, V37, P227, DOI 10.21273/HORTSCI.37.1.227
   Ikase L., 2004, Biologija, P8
   Jacob H. B., 2002, Acta Horticulturae, P337
   Jakobsson A, 2018, URBAN FOR URBAN GREE, V30, P210, DOI 10.1016/j.ufug.2018.02.003
   Kachhawa D., 2017, J ENTOMOL ZOOL STUD, V5, P468
   KLYNSTRA F. B., 1964, ACTA BOT NEERLAND, V13, P189
   Lengai G.M. W., 2018, J. Biosci. Med, V06, P7
   Li JT, 2006, ENVIRON POLLUT, V143, P159, DOI 10.1016/j.envpol.2005.10.016
   Ljubojevi c M., 2019, FRUIT SPECIES LANDSC
   Ljubojevic M, 2017, SCI HORTIC-AMSTERDAM, V217, P197, DOI 10.1016/j.scienta.2017.01.049
   Ljubojevic M, 2016, TURK J AGRIC FOR, V40, P839, DOI 10.3906/tar-1606-14
   Ljubojevic M, 2012, GENETIKA-BELGRADE, V44, P367, DOI 10.2298/GENSR1202367L
   Maiti SK, 2016, INT J MIN RECLAM ENV, V30, P231, DOI 10.1080/17480930.2015.1038864
   Mohamedova M., 2017, Advances in Horticultural Science, V31, P183, DOI 10.13128/ahs-20575
   MOORE JN, 1993, HORTSCIENCE, V28, P854, DOI 10.21273/HORTSCI.28.8.854
   Nyeki J, 1996, ACTA HORTIC, P185, DOI 10.17660/ActaHortic.1996.423.24
   Ognjanov V., 2018, Vocarstvo, V52, P15
   Ognjanov V., 2015, Vocarstvo, V49, P65
   Ognjanov V, 2012, J HORTIC SCI BIOTECH, V87, P117, DOI 10.1080/14620316.2012.11512841
   Ognjanov V, 2011, HORTSCIENCE, V46, P952, DOI 10.21273/HORTSCI.46.6.952
   Ognjanov V., 2017, P 31 C IMPR FRUIT GR, VVolume 23, P9
   Ottelin J, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab443d
   Petersen R, 2013, PLANTA, V238, P1, DOI 10.1007/s00425-013-1898-9
   Säumel I, 2012, ENVIRON POLLUT, V165, P124, DOI 10.1016/j.envpol.2012.02.019
   Sahin M., 2020, ORNAMENTAL PLANTS TH, P397
   Schuster Mirko, 2004, Journal of Fruit and Ornamental Plant Research, V12, P275
   Scorza R, 2006, ACTA HORTIC, P61, DOI 10.17660/ActaHortic.2006.713.4
   Shackleton CM, 2020, URBAN FOR URBAN GREE, V48, DOI 10.1016/j.ufug.2019.126507
   Speak AF, 2015, URBAN FOR URBAN GREE, V14, P772, DOI 10.1016/j.ufug.2015.07.007
   Sucur J, 2015, STUD U BABES-BOL CHE, V60, P253
   Svircev AM, 2014, ACTA HORTIC, V1056, P43
   Tian J.B., 2007, ACTA HORTIC SINICA, V6, P47
   TOBUTT KR, 1994, EUPHYTICA, V77, P51, DOI 10.1007/BF02551460
   Toscano S, 2010, ACTA HORTIC, V881, P137, DOI 10.17660/ActaHortic.2010.881.14
   Trajkovski V., 1996, Acta Horticulturae, P387
   Trandafirescu M, 2011, ACTA HORTIC, V903, P241, DOI 10.17660/ActaHortic.2011.903.30
   Trandafirescu M, 2007, ACTA HORTIC, P479, DOI 10.17660/ActaHortic.2007.760.67
   [王彩虹 Wang Caihong], 2006, [莱阳农学院学报, Journal of Laiyang Agricultural College], V23, P119
   Williamson B., 1992, BREEDING DIS RESISTA, V1
   Yücel S, 2017, ACTA HORTIC, V1164, P339, DOI 10.17660/ActaHortic.2017.1164.43
   Zheng TC, 2018, EUPHYTICA, V214, DOI 10.1007/s10681-018-2306-0
   Zheng XD, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-55195-7
   Zhivondov A, 2016, ACTA HORTIC, V1139, P67, DOI 10.17660/ActaHortic.2016.1139.12
NR 86
TC 11
Z9 11
U1 1
U2 37
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0304-4238
EI 1879-1018
J9 SCI HORTIC-AMSTERDAM
JI Sci. Hortic.
PD OCT 15
PY 2021
VL 288
AR 110350
DI 10.1016/j.scienta.2021.110350
EA JUN 2021
PG 10
WC Horticulture
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA TU5HS
UT WOS:000681068000002
DA 2025-01-10
ER

PT J
AU Yang, G
   Zaitchik, B
   Badr, H
   Block, P
AF Yang, Guang
   Zaitchik, Benjamin
   Badr, Hamada
   Block, Paul
TI A Bayesian adaptive reservoir operation framework incorporating
   streamflow non-stationarity
SO JOURNAL OF HYDROLOGY
LA English
DT Article
DE Adaptive reservoir operation; Reservoir operating rules; Streamflow
   non-stationarity; Bayesian model average; Time-frequency analysis
ID WATER-RESOURCE SYSTEMS; CLIMATE-CHANGE; BLUE NILE; VARIABILITY;
   ADAPTATION; SCENARIOS; CLASSIFICATION; OPTIMIZATION; UNCERTAINTY;
   ROBUSTNESS
AB Water reservoir operating rules are typically derived based on the assumption of streamflow stationarity, however, this assumption could be undermined by climate change. Adaptive reservoir operation is one of the most effective strategies to support water resources management under non-stationarity, yet until now, adaptive strategies considering non-stationarity across multiple time scales are rarely investigated. We propose an adaptive reservoir operation framework that incorporates streamflow non-stationarity across time scales simultaneously. Specifically, we first decompose the streamflow into four frequency categories to detect non-stationarity features through reservoir operation simulations. Next, we incorporate the non-stationarity information from each frequency category into adaptive reservoir operation by using Bayesian Model Averaging. We apply this framework to reservoir operation of the Grand Ethiopian Renaissance Dam on the Blue Nile River and evaluate its effectiveness with streamflow simulated from 21 general circulation models (GCMs) for two greenhouse gases emission scenarios. We find that streamflow non-stationarity from all GCMs varies by future period and frequency category. The proposed Bayesian adaptive reservoir operation framework can detect streamflow non-stationarity across all frequency categories and predominantly outperforms conventional adaptive strategies, especially in terms of firm power output. In general, firm output increases under the Bayesian framework as the power generation reliability increases. The proposed framework offers a robust approach to identify adaptive strategies for reservoir operation to address streamflow non-stationarity.
C1 [Yang, Guang; Block, Paul] Univ Wisconsin, Dept Civil & Environm Engn, 1415 Engn Dr, Madison, WI 53706 USA.
   [Zaitchik, Benjamin; Badr, Hamada] Johns Hopkins Univ, Dept Earth & Planetary Sci, Baltimore, MD 21218 USA.
C3 University of Wisconsin System; University of Wisconsin Madison; Johns
   Hopkins University
RP Block, P (corresponding author), Univ Wisconsin, Dept Civil & Environm Engn, 1415 Engn Dr, Madison, WI 53706 USA.
EM gyang82@wisc.edu; pblock2@wisc.edu
RI Zaitchik, Benjamin/AAB-3298-2020; Yang, Guang/AGJ-3481-2022; Badr,
   Hamada/AAB-8588-2019
OI Yang, Guang/0000-0001-7330-3502; Zaitchik, Benjamin/0000-0002-0698-0658;
   Badr, Hamada/0000-0002-9808-2344
FU NSF INFEWS award [1639214]
FX This work was partially supported by NSF INFEWS award 1639214.
CR Ahmadi M, 2015, WATER RESOUR MANAG, V29, P1247, DOI 10.1007/s11269-014-0871-0
   Allcott H, 2016, AM ECON REV, V106, P587, DOI 10.1257/aer.20140389
   Allen MR, 2002, NATURE, V419, P224, DOI 10.1038/nature01092
   [Anonymous], 2007, AUTOMATIC TIME SERIE
   Ashofteh PS, 2015, J WATER RES PLAN MAN, V141, DOI 10.1061/(ASCE)WR.1943-5452.0000540
   Badr HS, 2014, J APPL METEOROL CLIM, V53, P614, DOI 10.1175/JAMC-D-13-0181.1
   Block P, 2010, J WATER RES PLAN MAN, V136, P156, DOI 10.1061/(ASCE)WR.1943-5452.0000022
   Borgomeo E, 2014, WATER RESOUR RES, V50, P6850, DOI 10.1002/2014WR015558
   Brown C, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011212
   Brown CM, 2015, WATER RESOUR RES, V51, P6110, DOI 10.1002/2015WR017114
   Cancelliere A, 2002, WATER RESOUR MANAG, V16, P71, DOI 10.1023/A:1015563820136
   Ceres RL, 2017, CLIMATIC CHANGE, V145, P221, DOI 10.1007/s10584-017-2075-0
   Chang JX, 2018, ENERGY, V160, P886, DOI 10.1016/j.energy.2018.07.066
   Chaves P, 2008, ADV WATER RESOUR, V31, P926, DOI 10.1016/j.advwatres.2008.03.002
   COCHRAN WT, 1967, PR INST ELECTR ELECT, V55, P1664, DOI 10.1109/PROC.1967.5957
   Colominas MA, 2014, BIOMED SIGNAL PROCES, V14, P19, DOI 10.1016/j.bspc.2014.06.009
   Conway D, 2000, GEOGR J, V166, P49, DOI 10.1111/j.1475-4959.2000.tb00006.x
   Culley S, 2016, WATER RESOUR RES, V52, P6751, DOI 10.1002/2015WR018253
   Deisenroth M. P., 2013, Found. Trends Robot., V2, P1
   Dettinger M. D., 2000, NINO SO OSCILLATION, P113
   Diks CGH, 2010, STOCH ENV RES RISK A, V24, P809, DOI 10.1007/s00477-010-0378-z
   Duan QY, 2007, ADV WATER RESOUR, V30, P1371, DOI 10.1016/j.advwatres.2006.11.014
   Ehsani N, 2017, J HYDROL, V555, P435, DOI 10.1016/j.jhydrol.2017.09.008
   Ek MB, 2003, J GEOPHYS RES-ATMOS, V108, DOI 10.1029/2002JD003296
   Eldaw AK, 2003, J APPL METEOROL, V42, P890, DOI 10.1175/1520-0450(2003)042<0890:LFOTNR>2.0.CO;2
   ETHIOPIA: Power Sector Market, 2016, ETH STAT
   Fletcher S, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09677-x
   Funk C, 2015, SCI DATA, V2, DOI 10.1038/sdata.2015.66
   Gaudard L, 2014, SCI TOTAL ENVIRON, V493, P1211, DOI 10.1016/j.scitotenv.2013.10.012
   Gelaro R, 2017, J CLIMATE, V30, P5419, DOI 10.1175/JCLI-D-16-0758.1
   Getirana ACV, 2012, J HYDROMETEOROL, V13, P1641, DOI 10.1175/JHM-D-12-021.1
   Giuliani M, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/3/035009
   Giuliani M, 2016, J WATER RES PLAN MAN, V142, DOI 10.1061/(ASCE)WR.1943-5452.0000570
   Gleick PH, 2003, SCIENCE, V302, P1524, DOI 10.1126/science.1089967
   Gosling SN, 2016, CLIMATIC CHANGE, V134, P371, DOI 10.1007/s10584-013-0853-x
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   Herman JD, 2020, WATER RESOUR RES, V56, DOI 10.1029/2019WR025502
   Herman JD, 2018, ENVIRON MODELL SOFTW, V99, P39, DOI 10.1016/j.envsoft.2017.09.016
   Herman JD, 2015, J WATER RES PLAN MAN, V141, DOI 10.1061/(ASCE)WR.1943-5452.0000509
   Hoeting JA, 1999, STAT SCI, V14, P382, DOI 10.1214/ss/1009212519
   Huang HP, 2019, WATER RESOUR MANAG, V33, P3321, DOI 10.1007/s11269-019-02305-9
   Huang NE, 1998, P ROY SOC A-MATH PHY, V454, P903, DOI 10.1098/rspa.1998.0193
   Huang NE, 2008, REV GEOPHYS, V46, DOI 10.1029/2007RG000228
   Jameel A.L., 2014, GRAND ETHIOPIAN RENA, P1
   Jeuland M, 2014, WATER RESOUR RES, V50, P2086, DOI 10.1002/2013WR013705
   KATZ RW, 1992, CLIMATIC CHANGE, V21, P289, DOI 10.1007/BF00139728
   King A, 2014, J WATER CLIM CHANGE, V5, P233, DOI 10.2166/wcc.2014.043
   Koppa A, 2019, WATER RESOUR RES, V55, P8583, DOI 10.1029/2019WR025228
   Koutsoyiannis D, 2015, HYDROLOG SCI J, V60, P1174, DOI 10.1080/02626667.2014.959959
   Kumar SV, 2006, ENVIRON MODELL SOFTW, V21, P1402, DOI 10.1016/j.envsoft.2005.07.004
   Maier HR, 2016, ENVIRON MODELL SOFTW, V81, P154, DOI 10.1016/j.envsoft.2016.03.014
   McCabe GJ, 2007, J AM WATER RESOUR AS, V43, P183, DOI 10.1111/j.1752-1688.2007.00015.x
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Milly PCD, 2005, NATURE, V438, P347, DOI 10.1038/nature04312
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Nalley D, 2016, J HYDROL, V536, P426, DOI 10.1016/j.jhydrol.2016.02.049
   Nash JE., 1970, Journal of Hydrology, V10, P282, DOI [DOI 10.1016/0022-1694(70)90255-6, 10.1016/0022-1694(70)90255-6]
   National Planning Commission, 2016, Growth and Transformation Plan II (GTP II) (2015/16-2019/20), VI
   Ngo L, 2018, CLIMATIC CHANGE, V149, P107, DOI 10.1007/s10584-016-1875-y
   Nile Basin Initiative, 2012, STATE RIVER NILE BAS
   Nowak K, 2012, J CLIMATE, V25, P4389, DOI 10.1175/JCLI-D-11-00406.1
   Poff NL, 2016, NAT CLIM CHANGE, V6, P25, DOI [10.1038/nclimate2765, 10.1038/NCLIMATE2765]
   Raso L, 2019, CLIMATIC CHANGE, V153, P267, DOI 10.1007/s10584-018-2355-3
   Rathinasamy M, 2013, J HYDROL, V507, P186, DOI 10.1016/j.jhydrol.2013.09.025
   Robinson B, 2019, CLIMATIC CHANGE, V152, P431, DOI 10.1007/s10584-018-2347-3
   Soltani F, 2010, EXPERT SYST APPL, V37, P6639, DOI 10.1016/j.eswa.2010.03.057
   Steinschneider S, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011540
   Taye MT, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011466
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Tesfa B., 2013, Benefit of Grand Ethiopian Renaissance Dam Project (GERDP) for Sudan and Egypt
   Thorarinsdottir TL, 2017, WATER RESOUR RES, V53, P8147, DOI 10.1002/2016WR020354
   Thrasher Bridget, 2013, Eos, Transactions American Geophysical Union, V94, P321
   Tolson BA, 2007, WATER RESOUR RES, V43, DOI 10.1029/2005WR004723
   Torrence C, 1998, B AM METEOROL SOC, V79, P61, DOI 10.1175/1520-0477(1998)079<0061:APGTWA>2.0.CO;2
   Walsh CL, 2016, HYDROL EARTH SYST SC, V20, P1869, DOI 10.5194/hess-20-1869-2016
   Wu ZH, 2004, P ROY SOC A-MATH PHY, V460, P1597, DOI 10.1098/rspa.2003.1221
   Wu ZH, 2007, P NATL ACAD SCI USA, V104, P14889, DOI 10.1073/pnas.0701020104
   Wu ZH, 2009, ADV DATA SCI ADAPT, V1, P1, DOI 10.1142/S1793536909000047
   Wwap, 2019, UN WORLD WATER DEV R
   Xiong F, 2019, J HYDROL, V577, DOI 10.1016/j.jhydrol.2019.124003
   Xu WZ, 2015, J WATER RES PLAN MAN, V141, DOI 10.1061/(ASCE)WR.1943-5452.0000502
   Yang P, 2017, J WATER RES PLAN MAN, V143, DOI 10.1061/(ASCE)WR.1943-5452.0000743
   Yang TT, 2020, J WATER RES PLAN MAN, V146, DOI 10.1061/(ASCE)WR.1943-5452.0001146
   Yang TT, 2016, WATER RESOUR RES, V52, P1626, DOI 10.1002/2015WR017394
   Zaroug MAH, 2014, HYDROL EARTH SYST SC, V18, P1239, DOI 10.5194/hess-18-1239-2014
   Zhang JW, 2015, J HYDROL, V528, P276, DOI 10.1016/j.jhydrol.2015.06.041
   Zhang XS, 2009, J HYDROL, V374, P307, DOI 10.1016/j.jhydrol.2009.06.023
NR 87
TC 7
Z9 8
U1 6
U2 39
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0022-1694
EI 1879-2707
J9 J HYDROL
JI J. Hydrol.
PD MAR
PY 2021
VL 594
AR 125959
DI 10.1016/j.jhydrol.2021.125959
EA JAN 2021
PG 18
WC Engineering, Civil; Geosciences, Multidisciplinary; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Geology; Water Resources
GA RP2US
UT WOS:000641589600065
DA 2025-01-10
ER

PT J
AU Shrestha, UB
   Shrestha, AM
   Aryal, S
   Shrestha, S
   Gautam, MS
   Ojha, H
AF Shrestha, Uttam Babu
   Shrestha, Asheshwor Man
   Aryal, Suman
   Shrestha, Sujata
   Gautam, Madhu Sudan
   Ojha, Hemant
TI Climate change in Nepal: a comprehensive analysis of instrumental data
   and people's perceptions
SO CLIMATIC CHANGE
LA English
DT Article
ID FARMERS PERCEPTIONS; LOCAL PERCEPTIONS; TRENDS; TEMPERATURE;
   PRECIPITATION; VARIABILITY; RAINFALL; COMMUNITIES; KNOWLEDGE; HIMALAYA
AB Despite broad scientific consensus on climate change, public views may not always correspond with scientific findings. Understanding public perceptions of climate change is thus crucial to both identifying problems and delivering solutions. Investigations of climate change that integrate instrumental records and people's perceptions in the Himalayas are scarce and fragmentary compared to other regions of the world. We analyzed nationally representative data (n=5060) of local peoples' perception of climate change in Nepal, and assessed annual and seasonal trends of temperature and precipitation, onsets of seasons, and trends of climate extremes, based on gridded climate datasets. We firstly used quantitative and spatial techniques to compare local perceptions and the instrumentally observed trends of climate variables. We then examined the possible association of demographic variables, place attachment, regional differences, and prior understanding of climate change with the accuracy of people's perceptions. Instrumental evidence showed consistent warming, increasing hot days and nights, and increasing annual precipitation, wet spells, heavy precipitation and decreasing dry spells in Nepal. Our results indicate that locals accurately perceived the shifts in temperature but their perceptions of precipitation change did not converge with the instrumental records. We suggest that, in future as exposure to changes in weather, particularly extreme events, continues, people may become more likely to detect change which corresponds with observed trends. With some new methodological insights gained through integrating community perceptions with observed climate data, the results of this study provides valuable information to support policies to reduce climate-related risk and enhance climate change adaptation.
C1 [Shrestha, Uttam Babu; Aryal, Suman] Univ Southern Queensland, Inst Agr & Environm, Toowoomba, Qld 4350, Australia.
   [Shrestha, Uttam Babu; Shrestha, Sujata] Global Inst Interdisciplinary Studies, Kathmandu, Nepal.
   [Shrestha, Asheshwor Man] Univ Adelaide, Discipline Geog Environm & Populat, Adelaide, SA 5005, Australia.
   [Gautam, Madhu Sudan] Kathmandu Univ, Sch Educ, Dhulikhel, Nepal.
   [Ojha, Hemant] Inst Studies & Dev Worldwide IFSD, Sydney, NSW, Australia.
C3 University of Southern Queensland; University of Adelaide; Kathmandu
   University
RP Shrestha, UB (corresponding author), Univ Southern Queensland, Inst Agr & Environm, Toowoomba, Qld 4350, Australia.; Shrestha, UB (corresponding author), Global Inst Interdisciplinary Studies, Kathmandu, Nepal.
EM ubshrestha@yahoo.com
RI Aryal, Suman/P-1304-2019; Ojha, Hemant/C-7490-2011
OI Shrestha, Uttam/0000-0002-8766-279X; Ojha, Hemant/0000-0003-2654-4092
CR Alexander C, 2011, BIOSCIENCE, V61, P477, DOI 10.1525/bio.2011.61.6.10
   [Anonymous], 2017, R LANG ENV STAT COMP
   Ayal DY, 2017, J ARID ENVIRON, V140, P20, DOI 10.1016/j.jaridenv.2017.01.007
   Baidhya S.K., 2008, J HYDROLOGY METEROLO, V5, P38
   Baumeister RF., 2001, REV GEN PSYCHOL, V5, P323, DOI [10.1037/1089-2680.5.4.323, DOI 10.1037/1089-2680.5.4.323]
   Bhattacharjee A, 2017, CLIMATE, V5, DOI 10.3390/cli5040080
   Casanueva A., 2014, Hydrology and Earth System Sciences, V18, P1, DOI DOI 10.5194/HESS-18-1-2014
   Central Bureau of Statistics, 2017, NAT CLIM CHANG IMP S
   Chaudhary P, 2011, CURR SCI INDIA, V101, P504
   Chaudhary P, 2011, BIOL LETTERS, V7, P767, DOI 10.1098/rsbl.2011.0269
   Dhimal M, 2015, PLOS NEGLECT TROP D, V9, DOI 10.1371/journal.pntd.0003545
   Duncan JMA, 2013, APPL GEOGR, V43, P138, DOI 10.1016/j.apgeog.2013.06.011
   Habtemariam LT, 2016, ENVIRON MANAGE, V58, P343, DOI 10.1007/s00267-016-0708-0
   Howe PD, 2015, NAT CLIM CHANGE, V5, P596, DOI 10.1038/nclimate2583
   Karki R, 2017, CLIMATE, V5, DOI 10.3390/cli5010004
   Kosmowski F, 2016, CLIMATIC CHANGE, V135, P227, DOI 10.1007/s10584-015-1562-4
   Kunreuther H, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P151
   Liu ZW, 2014, CLIMATIC CHANGE, V122, P313, DOI 10.1007/s10584-013-0979-x
   Macchi M, 2015, CLIM DEV, V7, P414, DOI 10.1080/17565529.2014.966046
   Marin A, 2010, GLOBAL ENVIRON CHANG, V20, P162, DOI 10.1016/j.gloenvcha.2009.10.004
   McCright AM, 2010, POPUL ENVIRON, V32, P66, DOI 10.1007/s11111-010-0113-1
   Mishra SR, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/3/034007
   Mulenga BP, 2017, ENVIRON MANAGE, V59, P291, DOI 10.1007/s00267-016-0780-5
   Niles MT, 2016, GLOBAL ENVIRON CHANG, V39, P133, DOI 10.1016/j.gloenvcha.2016.05.002
   Osbahr H, 2011, EXP AGR, V47, P293, DOI 10.1017/S0014479710000785
   Pandit MK, 2014, BIOSCIENCE, V64, P980, DOI 10.1093/biosci/biu152
   Roco L, 2015, REG ENVIRON CHANGE, V15, P867, DOI 10.1007/s10113-014-0669-x
   Savo V, 2016, NAT CLIM CHANGE, V6, P462, DOI [10.1038/NCLIMATE2958, 10.1038/nclimate2958]
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Sheikh MM, 2015, INT J CLIMATOL, V35, P1625, DOI 10.1002/joc.4081
   Sherwood S, 2014, SCIENCE, V343, P737, DOI 10.1126/science.1247620
   Shrestha AB, 1999, J CLIMATE, V12, P2775, DOI 10.1175/1520-0442(1999)012<2775:MTTITH>2.0.CO;2
   Shrestha AB, 2017, INT J CLIMATOL, V37, P1066, DOI 10.1002/joc.4761
   Shrestha AB, 2011, REG ENVIRON CHANGE, V11, pS65, DOI 10.1007/s10113-010-0174-9
   Shrestha UB, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0106405
   Shrestha UB, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0036741
   Simelton E, 2013, CLIM DEV, V5, P123, DOI 10.1080/17565529.2012.751893
   Slegers MFW, 2008, J ARID ENVIRON, V72, P2106, DOI 10.1016/j.jaridenv.2008.06.011
   Smith TM, 2005, J CLIMATE, V18, P2021, DOI 10.1175/JCLI3362.1
   Sundblad EL, 2007, J ENVIRON PSYCHOL, V27, P97, DOI 10.1016/j.jenvp.2007.01.003
   Uprety Y, 2017, CLIM DEV, V9, P649, DOI 10.1080/17565529.2017.1304886
   Watson R, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, pIX
   Weber EU, 2010, WIRES CLIM CHANGE, V1, P332, DOI 10.1002/wcc.41
   West CT, 2008, LAND DEGRAD DEV, V19, P289, DOI 10.1002/ldr.842
   Wolf J, 2011, WIRES CLIM CHANGE, V2, P547, DOI 10.1002/wcc.120
   Xie P., 2010, P 24 C HYDR ATL GA U
   Zhang XB, 2005, J CLIMATE, V18, P1641, DOI 10.1175/JCLI3366.1
NR 47
TC 43
Z9 48
U1 0
U2 24
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD JUN
PY 2019
VL 154
IS 3-4
BP 315
EP 334
DI 10.1007/s10584-019-02418-5
PG 20
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA IF2GE
UT WOS:000472894800002
DA 2025-01-10
ER

PT J
AU Rashidi, J
   Rhee, G
   Kim, M
   Nam, K
   Heol, S
   Yoo, C
   Karbassi, A
AF Rashidi, Jouan
   Rhee, Gahee
   Kim, Minhyun
   Nam, Kijeon
   Heol, Sungku
   Yoo, Changkyoo
   Karbassi, Abdolreza
TI Life Cycle and Economic Assessments of Key Emerging Energy Efficient
   Wastewater Treatment Processes for Climate Change Adaptation
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH
LA English
DT Article
DE Capital cost; Emerging WWTP process; Life cycle assessment; Operational
   cost; Wastewater treatment plant
ID MICROBIAL FUEL-CELL; NITROGEN REMOVAL; ELECTROLYSIS CELL;
   POWER-GENERATION; TREATMENT PLANTS; ELECTRICITY; CHINA; PHOSPHORUS;
   CARBON; COST
AB New emerging wastewater treatment technologies like bioelectrochemical systems (BESs) and membrane bioreactors (MBRs) have been introduced in wastewater treatment plants (WWTPs) for producing energy and treating urban wastewater. This study compares WWTPs that combine new emerging technologies of membrane bioreactors (MBRs), microbial fuel cells (MFCs), and microbial electrolysis (MEC) with the conventional techniques (anaerobic, anoxic, and oxic, A(2)O). The environmental and economic impacts of the combined emerging treatment technologies are evaluated. Life cycle assessment (LCA) and economic assessment of the total cost considering both capital and operating cost are performed to evaluate the environmental and economic impacts, respectively. The environmental impact evaluation demonstrated that A(2)O + MBR and A(2)O + MFC processes are the most environmentally friendly processes in the construction and operation stages, respectively. Detailed analyses of the dominant environmental impact categories showed that the total volume for the construction stage, the effluent quality, and methane emission for the operation stage are important parameters. The results of economic impact showed that A(2)O and A(2)O + MFC processes have the lowest capital cost and operational cost, respectively. Furthermore, it can be inferred that A(2)O + MFC is the most economic process based on total economic impact, which included both the capital and the operational cost over 20 years. The proposed method provided guidance on the use of economical and environmentally friendly emerging techniques in WWTPs.
C1 [Rashidi, Jouan; Rhee, Gahee; Kim, Minhyun; Nam, Kijeon; Heol, Sungku; Yoo, Changkyoo] Kyung Hee Univ, Ctr Environm Studies, Coll Engn, Dept Environm Sci & Engn, Seocheon Dong 1, Yongin 446701, South Korea.
   [Karbassi, Abdolreza] Univ Tehran, Coll Engn, Sch Environm, Tehran, Iran.
C3 Kyung Hee University; University of Tehran
RP Yoo, C (corresponding author), Kyung Hee Univ, Ctr Environm Studies, Coll Engn, Dept Environm Sci & Engn, Seocheon Dong 1, Yongin 446701, South Korea.; Karbassi, A (corresponding author), Univ Tehran, Coll Engn, Sch Environm, Tehran, Iran.
EM ckyoo@khu.ac.kr; akarbasi@ut.ac.ir
RI Rashidi, Jouan/LEM-3874-2024; 유, 창규/AAJ-1226-2020; Kim,
   Hyungjin/JED-7172-2023; Karbassi, AR/ACE-6492-2022; Karbassi,
   Abdolreza/H-6332-2016
OI Yoo, ChangKyoo/0000-0002-9406-7649; Karbassi,
   Abdolreza/0000-0002-9408-908X; Heo, Sungku/0000-0002-8972-7470
FU National Research Foundation of Korea (NRF) - Korean government (MSIP)
   [2017R1E1A1A03070713]
FX This work was supported by a National Research Foundation of Korea (NRF)
   grant funded by the Korean government (MSIP) (No. No.
   2017R1E1A1A03070713).
CR [Anonymous], 2006, ISO 14040 2006 ENV M
   Corominas L, 2013, WATER RES, V47, P5480, DOI 10.1016/j.watres.2013.06.049
   Das S., 2011, Estimation of greenhouse gases emissions from biological wastewater treatment plants at Windsor
   Escapa A, 2012, INT J HYDROGEN ENERG, V37, P18641, DOI 10.1016/j.ijhydene.2012.09.157
   Esfahani IJ, 2016, KOREAN J CHEM ENG, V33, P351, DOI 10.1007/s11814-015-0296-3
   Foley J, 2010, WATER RES, V44, P1654, DOI 10.1016/j.watres.2009.11.031
   Foley JM, 2010, ENVIRON SCI TECHNOL, V44, P3629, DOI 10.1021/es100125h
   Gaone JM, 2013, MATH MODEL MICROBIAL
   Gloria TP, 2007, ENVIRON SCI TECHNOL, V41, P7551, DOI 10.1021/es070750+
   Hepburn C, 2010, OXFORD REV ECON POL, V26, P117, DOI 10.1093/oxrep/grq016
   Hong JL, 2009, WASTE MANAGE, V29, P696, DOI 10.1016/j.wasman.2008.03.026
   Hospido A, 2012, DESALINATION, V285, P263, DOI 10.1016/j.desal.2011.10.011
   Ichihashi O, 2012, BIORESOURCE TECHNOL, V114, P303, DOI 10.1016/j.biortech.2012.02.124
   Jeong K-Y, 2011, CHARACTERISTICS NUTR
   Jiang HM, 2012, BIOTECHNOL LETT, V34, P1269, DOI 10.1007/s10529-012-0899-2
   Judd S, 2011, MBR BOOK: PRINCIPLES AND APPLICATIONS OF MEMBRANE BIOREACTORS FOR WATER AND WASTEWATER TREATMENT, 2ND EDITION, P1
   Korea Ministry of Environment, 2010, WASTEW TREATM PLANT
   Lee K., 2004, Life Cycle Assessment: Best Practices of ISO 14040 Series
   Liu H, 2004, ENVIRON SCI TECHNOL, V38, P2281, DOI 10.1021/es034923g
   Logan B.E., 2008, Microbial Fuel Cells
   Patry GG, 1994, P MATHMOD VIENN IMAC, P456
   Pyo S, 2014, KOREAN CHEM ENG RES, V52, P503, DOI 10.9713/kcer.2014.52.4.503
   Rashidi Z, 2012, INT J ENVIRON RES, V6, P875
   Rasid NSA, 2013, KOREAN J CHEM ENG, V30, P1277, DOI 10.1007/s11814-013-0022-y
   Rodriguez-Garcia G, 2011, WATER RES, V45, P5997, DOI 10.1016/j.watres.2011.08.053
   Sevda S, 2013, APPL ENERG, V105, P194, DOI 10.1016/j.apenergy.2012.12.037
   Tao QQ, 2014, BIORESOURCE TECHNOL, V164, P402, DOI 10.1016/j.biortech.2014.05.002
   van Haandel A., 2007, Webshop Wastewater Handbook
   Vanrolleghem PA, 2002, WATER SCI TECHNOL, V45, P117, DOI 10.2166/wst.2002.0565
   Verrecht B, 2010, WATER RES, V44, P5274, DOI 10.1016/j.watres.2010.06.054
   Villano M, 2013, BIORESOURCE TECHNOL, V130, P366, DOI 10.1016/j.biortech.2012.11.080
   Virdis B, 2008, WATER RES, V42, P3013, DOI 10.1016/j.watres.2008.03.017
   Wang JM, 2018, ENERG POLICY, V115, P374, DOI 10.1016/j.enpol.2018.01.040
   Wang P, 2017, RENEW SUST ENERG REV, V73, P706, DOI 10.1016/j.rser.2017.02.005
   Xiao L, 2012, ENVIRON SCI TECHNOL, V46, P11459, DOI 10.1021/es303144n
   Yan HJ, 2013, BIOTECHNOL BIOENG, V110, P785, DOI 10.1002/bit.24769
   Zhang F, 2012, PROCESS BIOCHEM, V47, P2146, DOI 10.1016/j.procbio.2012.08.002
   Zhang L, 2018, ENVIRON SCI POLLUT R, V25, P8475, DOI 10.1007/s11356-017-1169-6
NR 38
TC 28
Z9 30
U1 9
U2 121
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 1735-6865
EI 2008-2304
J9 INT J ENVIRON RES
JI Int. J. Environ. Res.
PD DEC
PY 2018
VL 12
IS 6
BP 815
EP 827
DI 10.1007/s41742-018-0135-6
PG 13
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA GY6CH
UT WOS:000448672400006
DA 2025-01-10
ER

PT J
AU Chiabai, A
   Quiroga, S
   Martinez-Juarez, P
   Higgins, S
   Taylor, T
AF Chiabai, Aline
   Quiroga, Sonia
   Martinez-Juarez, Pablo
   Higgins, Sahran
   Taylor, Tim
TI The nexus between climate change, ecosystem services and human health:
   Towards a conceptual framework
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Adaptation; Contextual factors; Ecosystem-based adaptation; eDPSEEA;
   Green spaces
ID URBAN GREEN SPACE; LONG-TERM EXPOSURE; PHYSICAL-ACTIVITY; HEAT-ISLAND;
   NATURAL-ENVIRONMENT; BIODIVERSITY LOSS; MENTAL-HEALTH; COMMUNITIES
   EVIDENCE; SOCIAL SUPPORT; AIR-POLLUTION
AB This paper addresses the impact that changes in natural ecosystems can have on health and wellbeing focusing on the potential co-benefits that green spaces could provide when introduced as climate change adaptation measures. Ignoring such benefits could lead to suboptimal planning and decision-making. A conceptual framework, building on the ecosystem-enriched Driver, Pressure, State, Exposure, Effect, Action model (eDPSEEA), is presented to aid in clarifying the relational structure between green spaces and human health, taking climate change as the key driver. The study has the double intention of (i) summarising the literature with a special emphasis on the ecosystem and health perspectives, as well as the main theories behind these impacts, and (ii) modelling these findings into a framework that allows for multidisciplinary approaches to the underlying relations between human health and green spaces. The paper shows that while the literature based on the ecosystem perspective presents a well-documented association between climate, health and green spaces, the literature using a health-based perspective presents mixed evidence in some cases. The role of contextual factors and the exposure mechanism are rarely addressed.
   The proposed framework could serve as a multidisciplinary knowledge platform for multi-perspecitve analysis and discussion among experts and stakeholders, as well as to support the operationalization of quantitative assessment and modelling exercises. (c) 2018 The Authors. Published by Elsevier B.V.
C1 [Chiabai, Aline] BC3 Basque Ctr Climate Change, Bilbao, Spain.
   [Quiroga, Sonia; Martinez-Juarez, Pablo] Univ Alcala, Dept Econ, Alcala De Henares, Spain.
   [Higgins, Sahran; Taylor, Tim] Univ Exeter, Med Sch, European Ctr Environm & Human Hlth, Exeter, Devon, England.
C3 Basque Centre for Climate Change (BC3); Universidad de Alcala;
   University of Exeter
RP Chiabai, A (corresponding author), Univ Basque Country, Basque Ctr Climate Change BC3, Bldg 1,1st Floor,Sci Campus,Barrio Sarriena S-N, Leioa 48940, Bizkaia, Spain.
EM aline.chiabai@bc3research.org; sonia.quiroga@uah.es;
   pablo.martinez@uah.es; Timothy.J.Taylor@exeter.ac.uk
RI Quiroga, Sonia/ABH-6577-2020; CHIABAI, ALINE/M-7447-2013; Taylor,
   Tim/AFS-2240-2022
OI Taylor, Timothy/0000-0002-2625-7408
FU Horizon 2020 research project INHERIT (INter-sectoral Health and
   Environment Research for InnovaTion); EU COST Action: Tourism, Wellbeing
   and Ecosystem Services (TObeWELL) [IS1204]
FX Authors would like to acknowledge the support provided by two research
   projects: Horizon 2020 research project INHERIT (INter-sectoral Health
   and Environment Research for InnovaTion); and EU COST Action IS1204:
   Tourism, Wellbeing and Ecosystem Services (TObeWELL).
CR Alcock I, 2015, LANDSCAPE URBAN PLAN, V142, P38, DOI 10.1016/j.landurbplan.2015.05.008
   Alfsen C, 2011, URBAN ECOLOGY: PATTERNS, PROCESSES, AND APPLICATIONS, P213
   Almanza E, 2012, HEALTH PLACE, V18, P46, DOI 10.1016/j.healthplace.2011.09.003
   [Anonymous], 2011, HLTH GREEN EC HLTH C
   [Anonymous], URBAN HEAT ISLAND TH
   [Anonymous], CLIM CHANG HUM HLTH
   [Anonymous], PREVENTING DIS HLTH
   [Anonymous], 2012, CLIMATE CHANGE RISK
   [Anonymous], BC3 WORKING PAPERS
   [Anonymous], CARBON SEQUESTRATION
   Armson D, 2013, URBAN FOR URBAN GREE, V12, P282, DOI 10.1016/j.ufug.2013.04.001
   Bartens J, 2008, J ENVIRON QUAL, V37, P2048, DOI 10.2134/jeq2008.0117
   Barton J, 2010, ENVIRON SCI TECHNOL, V44, P3947, DOI 10.1021/es903183r
   Benito Garzón M, 2008, APPL VEG SCI, V11, P169, DOI 10.3170/2008-7-18348
   Benmarhnia T, 2016, ENVIRON HEALTH PERSP, V124, P1694, DOI 10.1289/EHP203
   Bisgaard H, 2011, J ALLERGY CLIN IMMUN, V128, P646, DOI 10.1016/j.jaci.2011.04.060
   Bowler DE, 2010, BMC PUBLIC HEALTH, V10, DOI 10.1186/147-2458-10-456
   Calfapietra C, 2013, ENVIRON POLLUT, V183, P71, DOI 10.1016/j.envpol.2013.03.012
   Cardinale BJ, 2012, NATURE, V486, P59, DOI 10.1038/nature11148
   Cariñanos P, 2011, LANDSCAPE URBAN PLAN, V101, P205, DOI 10.1016/j.landurbplan.2011.03.006
   Carroll B, 2009, HEALTH PLACE, V15, P540, DOI 10.1016/j.healthplace.2008.08.009
   Carter M, 2014, ECOHEALTH, V11, P322, DOI 10.1007/s10393-014-0952-9
   CCRA, 2017, UK CLIMATE CHANGE RI
   Claessens J, 2014, SCI TOTAL ENVIRON, V485, P776, DOI 10.1016/j.scitotenv.2014.02.120
   Clemente JC, 2012, CELL, V148, P1258, DOI 10.1016/j.cell.2012.01.035
   Cohen DA, 2013, PUBLIC HEALTH, V127, P325, DOI 10.1016/j.puhe.2013.01.003
   Confalonieri U, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P391
   Cusack L, 2017, ENVIRON RES, V152, P88, DOI 10.1016/j.envres.2016.10.003
   Dadvand P, 2016, ENVIRON INT, V91, P161, DOI 10.1016/j.envint.2016.02.029
   Day R, 2008, HEALTH PLACE, V14, P299, DOI 10.1016/j.healthplace.2007.07.001
   de Jong K, 2012, HEALTH PLACE, V18, P1374, DOI 10.1016/j.healthplace.2012.07.001
   de Vries S, 2003, ENVIRON PLANN A, V35, P1717, DOI 10.1068/a35111
   Díaz S, 2006, PLOS BIOL, V4, P1300, DOI 10.1371/journal.pbio.0040277
   Doick KJ, 2014, SCI TOTAL ENVIRON, V493, P662, DOI 10.1016/j.scitotenv.2014.06.048
   Dunstan F, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0069045
   Edmondson JL, 2016, SCI REP-UK, V6, DOI 10.1038/srep33708
   Ellis JB, 2004, SCI TOTAL ENVIRON, V334, P251, DOI 10.1016/j.scitotenv.2004.04.066
   Elmqvist T, 2015, CURR OPIN ENV SUST, V14, P101, DOI 10.1016/j.cosust.2015.05.001
   Eriksson M, 2013, SOC SCI MED, V97, P112, DOI 10.1016/j.socscimed.2013.08.008
   Escobedo FJ, 2011, ENVIRON POLLUT, V159, P2078, DOI 10.1016/j.envpol.2011.01.010
   Fan YL, 2011, HEALTH PLACE, V17, P1202, DOI 10.1016/j.healthplace.2011.08.008
   Feyisa GL, 2014, LANDSCAPE URBAN PLAN, V123, P87, DOI 10.1016/j.landurbplan.2013.12.008
   Finlay J, 2015, HEALTH PLACE, V34, P97, DOI 10.1016/j.healthplace.2015.05.001
   Fleming CM, 2016, LANDSCAPE URBAN PLAN, V149, P1, DOI 10.1016/j.landurbplan.2015.12.014
   Gascon M, 2015, INT J ENV RES PUB HE, V12, P4354, DOI 10.3390/ijerph120404354
   Gentry-Shields J, 2014, SCI TOTAL ENVIRON, V468, P306, DOI 10.1016/j.scitotenv.2013.08.052
   Germann-Chiari C, 2004, FOREST POLICY ECON, V6, P3, DOI 10.1016/S1389-9341(02)00067-9
   Gidlow CJ, 2016, J ENVIRON PSYCHOL, V45, P22, DOI 10.1016/j.jenvp.2015.11.003
   Giles-Corti B, 2005, AM J PREV MED, V28, P169, DOI 10.1016/j.amepre.2004.10.018
   Gordian ME, 1996, ENVIRON HEALTH PERSP, V104, P290, DOI 10.2307/3432887
   Graceson A, 2013, ECOL ENG, V61, P328, DOI 10.1016/j.ecoleng.2013.09.030
   Grant RH, 2003, AGR FOREST METEOROL, V120, P127, DOI 10.1016/j.agrformet.2003.08.025
   Grazuleviciene R, 2015, BIOMED RES INT, V2015, DOI 10.1155/2015/403012
   Grazuleviciene R, 2014, INT J ENV RES PUB HE, V11, P2958, DOI 10.3390/ijerph110302958
   Gunawardena KR, 2017, SCI TOTAL ENVIRON, V584, P1040, DOI 10.1016/j.scitotenv.2017.01.158
   Haines A, 2006, PUBLIC HEALTH, V120, P585, DOI 10.1016/j.puhe.2006.01.002
   Haines A, 2004, JAMA-J AM MED ASSOC, V291, P99, DOI 10.1001/jama.291.1.99
   Hajat S, 2010, LANCET, V375, P856, DOI 10.1016/S0140-6736(09)61711-6
   Han MK, 2012, THORAX, V67, P456, DOI 10.1136/thoraxjnl-2011-201183
   Hanski I, 2012, P NATL ACAD SCI USA, V109, P8334, DOI 10.1073/pnas.1205624109
   Hansmann Ralf, 2007, Urban Forestry & Urban Greening, V6, P213, DOI 10.1016/j.ufug.2007.08.004
   Hartig T, 2014, ANNU REV PUBL HEALTH, V35, P207, DOI 10.1146/annurev-publhealth-032013-182443
   Heaviside Clare, 2017, Curr Environ Health Rep, V4, P296, DOI 10.1007/s40572-017-0150-3
   Henke JM, 2013, APPL GEOGR, V45, P77, DOI 10.1016/j.apgeog.2013.07.022
   Hu ZY, 2008, INT J HEALTH GEOGR, V7, DOI 10.1186/1476-072X-7-20
   Huffnagle GB, 2010, PLOS PATHOG, V6, DOI 10.1371/journal.ppat.1000549
   Huynen MMTE, 2004, INT J ENVIRON HEAL R, V14, P13, DOI 10.1080/09603120310001633895
   Kabisch N, 2017, THEOR PRACT URB SUST, P1, DOI 10.1007/978-3-319-56091-5
   Kazmierczak A, 2011, LANDSCAPE URBAN PLAN, V103, P185, DOI 10.1016/j.landurbplan.2011.07.008
   Kerr JH, 2006, PSYCHOL SPORT EXERC, V7, P345, DOI 10.1016/j.psychsport.2005.09.002
   Kjellstrom Tord, 1995, World Health Statistics Quarterly, V48, P144
   Knight T, 2016, ENVIRON EVID, V5, DOI 10.1186/s13750-016-0054-y
   Lachowycz K, 2014, SOC SCI MED, V107, P9, DOI 10.1016/j.socscimed.2014.02.023
   Li MM, 2015, INT J ENV RES PUB HE, V12, P5256, DOI 10.3390/ijerph120505256
   Li Q, 2011, EUR J APPL PHYSIOL, V111, P2845, DOI 10.1007/s00421-011-1918-z
   Litschke T, 2008, METEOROL Z, V17, P229, DOI 10.1127/0941-2948/2008/0284
   Liu W, 2014, ECOL MODEL, V291, P6, DOI 10.1016/j.ecolmodel.2014.07.012
   Lovasi GS, 2008, J EPIDEMIOL COMMUN H, V62, P647, DOI 10.1136/jech.2007.071894
   Maas J, 2009, J EPIDEMIOL COMMUN H, V63, P967, DOI 10.1136/jech.2008.079038
   Maas J, 2009, HEALTH PLACE, V15, P586, DOI 10.1016/j.healthplace.2008.09.006
   Mansor M, 2012, PROCD SOC BEHV, V49, P257, DOI 10.1016/j.sbspro.2012.07.024
   Martinez-Juarez P, 2015, J OUTDOOR REC TOUR, V10, P63, DOI 10.1016/j.jort.2015.06.008
   McCabe S, 2010, INT J TOUR RES, V12, P761, DOI 10.1002/jtr.791
   McKenzie K, 2013, J AFFECT DISORDERS, V150, P1019, DOI 10.1016/j.jad.2013.05.032
   McMichael AJ, 2006, LANCET, V367, P859, DOI 10.1016/S0140-6736(06)68079-3
   MiLLENNiUM ECoSYSTEM ASSESSMENT, 2005, Ecosystems and human well-being: synthesis. Millennium ecosystem assessment, V1134, P25, DOI DOI 10.1196/ANNALS.1439.003
   Min KB, 2017, INT J PUBLIC HEALTH, V62, P647, DOI 10.1007/s00038-017-0958-5
   Mitchell R, 2008, LANCET, V372, P1655, DOI 10.1016/S0140-6736(08)61689-X
   Hoyo MM, 2010, CUAD TUR, P25
   Morris GP, 2006, PUBLIC HEALTH, V120, P889, DOI 10.1016/j.puhe.2006.05.022
   Mytton OT, 2012, HEALTH PLACE, V18, P1034, DOI 10.1016/j.healthplace.2012.06.003
   Nowak DJ, 2014, ENVIRON POLLUT, V193, P119, DOI 10.1016/j.envpol.2014.05.028
   OHSHIMA H, 1994, MUTAT RES, V305, P253, DOI 10.1016/0027-5107(94)90245-3
   Opperman JJ, 2009, SCIENCE, V326, P1487, DOI 10.1126/science.1178256
   Pampalon R, 2006, HEALTH PLACE, V12, P421, DOI 10.1016/j.healthplace.2005.04.002
   Paranjothy S, 2011, BMC PUBLIC HEALTH, V11, DOI 10.1186/1471-2458-11-145
   Pereira G, 2012, BMC PUBLIC HEALTH, V12, DOI 10.1186/1471-2458-12-466
   Petroff A, 2008, ATMOS ENVIRON, V42, P3625, DOI 10.1016/j.atmosenv.2007.09.043
   Pilkington M.G., 2015, RESTORATION BLANKET
   Pope CA, 2002, JAMA-J AM MED ASSOC, V287, P1132, DOI 10.1001/jama.287.9.1132
   Proctor LM, 2011, CELL HOST MICROBE, V10, P287, DOI 10.1016/j.chom.2011.10.001
   Rao M, 2014, ENVIRON POLLUT, V194, P96, DOI 10.1016/j.envpol.2014.07.011
   Räsänen JV, 2013, ENVIRON POLLUT, V183, P64, DOI 10.1016/j.envpol.2013.05.015
   Reis S, 2015, PUBLIC HEALTH, V129, P1383, DOI 10.1016/j.puhe.2013.07.006
   Richardson EA, 2013, PUBLIC HEALTH, V127, P318, DOI 10.1016/j.puhe.2013.01.004
   Roe J, 2011, HEALTH PLACE, V17, P103, DOI 10.1016/j.healthplace.2010.09.003
   Roe JJ, 2013, INT J ENV RES PUB HE, V10, P4086, DOI 10.3390/ijerph10094086
   Rook GA, 2013, P NATL ACAD SCI USA, V110, P18360, DOI 10.1073/pnas.1313731110
   Rook Graham A. W., 2013, Evolution Medicine and Public Health, P46, DOI 10.1093/emph/eot004
   Rowe DB, 2011, ENVIRON POLLUT, V159, P2100, DOI 10.1016/j.envpol.2010.10.029
   Sæbo A, 2012, SCI TOTAL ENVIRON, V427, P347, DOI 10.1016/j.scitotenv.2012.03.084
   Salmond JA, 2016, ENVIRON HEALTH-GLOB, V15, DOI 10.1186/s12940-016-0103-6
   SANDERS RA, 1986, URBAN ECOL, V9, P361, DOI 10.1016/0304-4009(86)90009-4
   Santamouris M, 2014, SOL ENERGY, V103, P682, DOI 10.1016/j.solener.2012.07.003
   Scully D, 1998, BRIT J SPORT MED, V32, P111, DOI 10.1136/bjsm.32.2.111
   Shanahan DF, 2015, AM J PUBLIC HEALTH, V105, P470, DOI 10.2105/AJPH.2014.302324
   Shanahan DF, 2016, SCI REP-UK, V6, DOI 10.1038/srep28551
   Shanahan DF, 2015, BIOSCIENCE, V65, P476, DOI 10.1093/biosci/biv032
   Smith KR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P709
   Takano T, 2002, J EPIDEMIOL COMMUN H, V56, P913, DOI 10.1136/jech.56.12.913
   Tamosiunas A, 2014, ENVIRON HEALTH-GLOB, V13, DOI 10.1186/1476-069X-13-20
   Thompson CW, 2014, PROCD SOC BEHV, V153, P10, DOI 10.1016/j.sbspro.2014.10.036
   Thompson CW, 2012, LANDSCAPE URBAN PLAN, V105, P221, DOI 10.1016/j.landurbplan.2011.12.015
   Thompson CW, 2011, LANDSCAPE URBAN PLAN, V99, P187, DOI 10.1016/j.landurbplan.2010.10.006
   Tobías A, 2014, ENVIRON HEALTH-GLOB, V13, DOI 10.1186/1476-069X-13-48
   Tyrväinen L, 2014, J ENVIRON PSYCHOL, V38, P1, DOI 10.1016/j.jenvp.2013.12.005
   Vardoulakis S, 2014, ENVIRON HEALTH PERSP, V122, P1285, DOI 10.1289/ehp.1307524
   Vignola R, 2009, MITIG ADAPT STRAT GL, V14, P691, DOI 10.1007/s11027-009-9193-6
   Wang L, 2015, SCI TOTAL ENVIRON, V532, P420, DOI 10.1016/j.scitotenv.2015.06.014
   Wang YP, 2016, SUSTAIN CITIES SOC, V27, P122, DOI 10.1016/j.scs.2016.04.013
   Warhurst JR, 2014, SCI TOTAL ENVIRON, V485, P329, DOI 10.1016/j.scitotenv.2014.03.035
   Weerakkody U, 2017, URBAN FOR URBAN GREE, V27, P173, DOI 10.1016/j.ufug.2017.07.005
   Wellington EMH, 2013, LANCET INFECT DIS, V13, P155, DOI 10.1016/S1473-3099(12)70317-1
   Wendel HEW, 2011, ENVIRON SCI TECHNOL, V45, P6728, DOI 10.1021/es103949f
   Wheeler BW, 2015, INT J HEALTH GEOGR, V14, DOI 10.1186/s12942-015-0009-5
   Witten K, 2008, PREV MED, V47, P299, DOI 10.1016/j.ypmed.2008.04.010
   Wolf T, 2014, INT J ENV RES PUB HE, V11, P6265, DOI 10.3390/ijerph110606265
   Wood L, 2010, SOC SCI MED, V70, P1381, DOI 10.1016/j.socscimed.2010.01.021
   Yang F, 2011, INT J ENV RES PUB HE, V8, P1032, DOI 10.3390/ijerph8041032
   Yu WW, 2010, SCI TOTAL ENVIRON, V408, P3513, DOI 10.1016/j.scitotenv.2010.04.058
   Zellner M, 2016, COMPUT ENVIRON URBAN, V59, P116, DOI 10.1016/j.compenvurbsys.2016.04.008
   Zhang B, 2015, LANDSCAPE URBAN PLAN, V140, P8, DOI 10.1016/j.landurbplan.2015.03.014
   Zhao M, 2010, J ENVIRON MANAGE, V91, P807, DOI 10.1016/j.jenvman.2009.10.010
NR 143
TC 84
Z9 88
U1 8
U2 142
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD SEP 1
PY 2018
VL 635
BP 1191
EP 1204
DI 10.1016/j.scitotenv.2018.03.323
PG 14
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA GK8RI
UT WOS:000436494400114
PM 29710574
OA hybrid
DA 2025-01-10
ER

PT J
AU Hubeau, M
   Marchand, F
   Coteur, I
   Debruyne, L
   Van Huylenbroeck, G
AF Hubeau, Marianne
   Marchand, Fleur
   Coteur, Ine
   Debruyne, Lies
   Van Huylenbroeck, Guido
TI A reflexive assessment of a regional initiative in the agri-food system
   to test whether and how it meets the premises of transdisciplinary
   research
SO SUSTAINABILITY SCIENCE
LA English
DT Article
DE Reflexive assessment; Transdisciplinary research; Transdisciplinary
   approach; Case study analysis; Flemish agri-food system
ID CLIMATE-CHANGE ADAPTATION; STAKEHOLDER PARTICIPATION; SUSTAINABILITY;
   KNOWLEDGE; POLICY; COLLABORATION; FRAMEWORK; COPRODUCTION; REFLECTION;
   TRANSITION
AB In recent sustainability assessments, transdisciplinary approaches have been used to bridge contested normative views among many societal actors, policymakers and researchers. Transdisciplinary research is mainly based on three premises: (1) various perspectives need to be incorporated and discussed to empower actors, (2) the collaboration and co-creation of knowledge between academic and societal actors allows to better grasp the complexity of a real-world problem, and (3) a mutual learning process arises which could increase the legitimacy of decisions and their implementation in practice. Despite many examples of transdisciplinary projects, few assessments have been done that question whether such a project fulfils the premises of transdisciplinary research. Therefore, we report on a reflexive assessment of an initiative set up to foster the transformation of the Flemish agri-food system towards sustainability. The case study involved both scientific and societal actors with different views, making it possible to implement a transdisciplinary process, evaluate the expectations and give suggestions for future processes. Evaluation criteria are linked to context, process and outcomes. Analysis of the qualitative and quantitative data indicates that the initiative did empower the transformation towards sustainability. Furthermore, results show that, in this case, a transdisciplinary approach can fulfil its premises. However, some critical factors are identified, such as the importance of the context specificity and a flexible, adaptive and iterative process.
C1 [Hubeau, Marianne; Marchand, Fleur; Coteur, Ine; Debruyne, Lies] Flanders Res Inst Agr Fisheries & Food ILVO, Social Sci Unit, Agr & Farm Dev, Burgemeester Van Gansberghelaan 115, B-9820 Merelbeke, Belgium.
   [Marchand, Fleur] Univ Antwerp, Ecosyst Management Res Grp, Univ Pl 1, B-2610 Antwerp, Belgium.
   [Marchand, Fleur] Univ Antwerp, IMDO, Univ Pl 1, B-2610 Antwerp, Belgium.
   [Hubeau, Marianne; Van Huylenbroeck, Guido] Univ Ghent, Fac Biosci Engn, Dept Agr Econ, Coupure Links 653, B-9000 Ghent, Belgium.
C3 Institute For Agricultural & Fisheries Research; University of Antwerp;
   University of Antwerp; Ghent University
RP Hubeau, M (corresponding author), Flanders Res Inst Agr Fisheries & Food ILVO, Social Sci Unit, Agr & Farm Dev, Burgemeester Van Gansberghelaan 115, B-9820 Merelbeke, Belgium.; Hubeau, M (corresponding author), Univ Ghent, Fac Biosci Engn, Dept Agr Econ, Coupure Links 653, B-9000 Ghent, Belgium.
EM Marianne.hubeau@ilvo.vlaanderen.be; Fleur.marchand@ilvo.vlaanderen.be;
   ine.coteur@ilvo.vlaanderen.be; lies.debruyne@ilvo.vlaanderen.be;
   guido.vanhuylenbroeck@ugent.be
RI Marchand, Fleur/LKN-4999-2024; Van Huylenbroeck, Guido/L-9251-2017
FU Institute for Agricultural and Fisheries research (ILVO), Merelbeke,
   Belgium; Flanders Innovation & Entrepreneurship, a governmental agency
   in Flanders
FX The authors would sincerely like to thank the editor and two anonymous
   referees for their constructive input and comments which helped to
   improve and finalize the manuscript. Additionally, we would like to
   thank Miriam Levenson for proofreading this article. The study was
   conducted as part of the project 'Towards a more sustainable Flemish
   agri-food system', a transdisciplinary project on the transformation of
   the Flemish agri-food system. The project is supported by the Institute
   for Agricultural and Fisheries research (ILVO), Merelbeke, Belgium and
   Flanders Innovation & Entrepreneurship, a governmental agency in
   Flanders.
CR Aeberhard A, 2009, ECOL ECON, V68, P1171, DOI 10.1016/j.ecolecon.2008.08.008
   [Anonymous], 2011, The future of food and farming
   Binder CR, 2015, SUSTAIN SCI, V10, P545, DOI 10.1007/s11625-015-0328-2
   Blackstock KL, 2007, ECOL ECON, V60, P726, DOI 10.1016/j.ecolecon.2006.05.014
   Blackstock KL, 2012, ECOL ECON, V77, P113, DOI 10.1016/j.ecolecon.2012.02.015
   Brandt P, 2013, ECOL ECON, V92, P1, DOI 10.1016/j.ecolecon.2013.04.008
   Brinkerhoff JM, 2002, EVAL PROGRAM PLANN, V25, P215, DOI 10.1016/S0149-7189(02)00017-4
   Burgess J., 2006, Science and Public Policy, V33, P713, DOI 10.3152/147154306781778551
   Buttel F.H., 1985, AGR HUM VALUES, V2, P78
   Carew AL, 2010, FUTURES, V42, P1146, DOI 10.1016/j.futures.2010.04.025
   Crivits M, 2018, SOCIOL RURALIS, V58, P475, DOI 10.1111/soru.12162
   Crivits M, 2010, FUTURES, V42, P1187, DOI 10.1016/j.futures.2010.07.002
   Dicks LV, 2013, SUSTAINABILITY-BASEL, V5, P3095, DOI 10.3390/su5073095
   Enengel B, 2011, J ENVIRON MANAGE, V92, P1256, DOI 10.1016/j.jenvman.2010.12.005
   Giest S, 2014, ENVIRON SCI POLICY, V36, P37, DOI 10.1016/j.envsci.2013.07.010
   Golafshani N., 2003, The Qualitative Report, V8, P597, DOI [DOI 10.46743/2160-3715/2003.1870, 10.46743/2160-3715/2003.1870]
   Grant A., 2004, Rural Society, V14, P142, DOI DOI 10.5172/RSJ.351.14.2.142
   Grosskurth Jasper, 2005, Environment Development and Sustainability, V7, P135, DOI 10.1007/s10668-003-4810-0
   Hadorn G. H., 2008, HDB TRANSDISCIPLINAR
   Hadorn GH, 2006, ECOL ECON, V60, P119, DOI 10.1016/j.ecolecon.2005.12.002
   Hegger D, 2012, ENVIRON SCI POLICY, V18, P52, DOI 10.1016/j.envsci.2012.01.002
   Hermans F., 2011, Social Learning in Innovation Networks; How Multisectoral Collaborations Shapes Discourses of Sustainable Agriculture
   Hermans FLP, 2011, REG ENVIRON CHANGE, V11, P805, DOI 10.1007/s10113-011-0216-y
   Hubeau M, 2015, SYSTEEMBESCHRIJVING
   Hubeau M, 2015, TRANSFORMATIE LANDBO
   Hubeau M, 2017, ECOL ECON, V131, P52, DOI 10.1016/j.ecolecon.2016.08.019
   Hurlbert M, 2015, ENVIRON SCI POLICY, V50, P100, DOI 10.1016/j.envsci.2015.01.011
   Jahn T, 2012, ECOL ECON, V79, P1, DOI 10.1016/j.ecolecon.2012.04.017
   Kelly G. J., 2007, Australasian Journal of Environmental Management, V14, P231
   Koro-Ljungberg M, 2008, QUAL HEALTH RES, V18, P983, DOI 10.1177/1049732308318039
   Lang DJ, 2012, SUSTAIN SCI, V7, P25, DOI 10.1007/s11625-011-0149-x
   Leventon J, 2016, SUSTAIN SCI, V11, P763, DOI 10.1007/s11625-016-0385-1
   Luederitz C, 2017, J CLEAN PROD, V169, P61, DOI 10.1016/j.jclepro.2016.09.005
   Luederitz C, 2017, SUSTAIN SCI, V12, P393, DOI 10.1007/s11625-016-0414-0
   Luyet V, 2012, J ENVIRON MANAGE, V111, P213, DOI 10.1016/j.jenvman.2012.06.026
   Miah JH, 2015, SUSTAIN SCI, V10, P621, DOI 10.1007/s11625-015-0331-7
   Mobjörk M, 2010, FUTURES, V42, P866, DOI 10.1016/j.futures.2010.03.003
   Neef A, 2011, AGR HUM VALUES, V28, P179, DOI 10.1007/s10460-010-9272-z
   O'Brien K, 2013, PROG HUM GEOG, V37, P587, DOI 10.1177/0309132512469589
   Patterson J, 2017, ENVIRON INNOV SOC TR, V24, P1, DOI 10.1016/j.eist.2016.09.001
   Pohl C, 2005, FUTURES, V37, P1159, DOI 10.1016/j.futures.2005.02.009
   Pohl C., 2007, Principles for Designing Transdisciplinary Research
   Pohl C, 2008, ENVIRON SCI POLICY, V11, P46, DOI 10.1016/j.envsci.2007.06.001
   Pohl C, 2010, SCI PUBL POLICY, V37, P267, DOI 10.3152/030234210X496628
   Polk M, 2014, SUSTAIN SCI, V9, P439, DOI 10.1007/s11625-014-0247-7
   Porter N, 2015, TECHNOL FORECAST SOC, V90, P525, DOI 10.1016/j.techfore.2014.02.010
   Potter C, 2005, PROG HUM GEOG, V29, P581, DOI 10.1191/0309132505ph569oa
   PRETTY JN, 1995, WORLD DEV, V23, P1247, DOI 10.1016/0305-750X(95)00046-F
   Reed MS, 2013, ECOL ECON, V94, P66, DOI 10.1016/j.ecolecon.2013.07.007
   Reed MS, 2008, BIOL CONSERV, V141, P2417, DOI 10.1016/j.biocon.2008.07.014
   Reed MS, 2009, J ENVIRON MANAGE, V90, P1933, DOI 10.1016/j.jenvman.2009.01.001
   Rotmans J, 2008, MANAGING TRANSITION
   Rotmans J, 2003, TRANSITIEMANAGEMENT, V43
   Roux DJ, 2017, SUSTAIN SCI, V12, P711, DOI 10.1007/s11625-017-0446-0
   Roux DJ, 2010, ENVIRON SCI POLICY, V13, P733, DOI 10.1016/j.envsci.2010.08.002
   Savan B., 2003, LOCAL ENV, V8, P303
   Schmid JC, 2016, ENVIRON SCI POLICY, V56, P67, DOI 10.1016/j.envsci.2015.11.003
   Scholz Roland W., 2006, International Journal of Sustainability in Higher Education, V7, P226, DOI [10.1108/14676370610677829, DOI 10.1108/14676370610677829]
   Schulz AJ, 2003, EVAL PROGRAM PLANN, V26, P249, DOI 10.1016/S0149-7189(03)00029-6
   Stauffacher M, 2008, SYST PRACT ACT RES, V21, P409, DOI 10.1007/s11213-008-9107-7
   STEDULA SDL, 2006, ERVEN TOEKOMST DUURZ
   TNFF, 2013, NEW FOOD FRONTIER
   Triste L, 2014, ECOL SOC, V19, DOI 10.5751/ES-06789-190347
   van Kerkhoff L, 2005, ENVIRON SCI POLICY, V8, P452, DOI 10.1016/j.envsci.2005.06.002
   Vandermeulen V, 2008, ECOL ECON, V67, P352, DOI 10.1016/j.ecolecon.2008.05.016
   Walter AI, 2007, EVAL PROGRAM PLANN, V30, P325, DOI 10.1016/j.evalprogplan.2007.08.002
   Wickson F, 2006, FUTURES, V38, P1046, DOI 10.1016/j.futures.2006.02.011
   Wiek A, 2014, RES EVALUAT, V23, P117, DOI 10.1093/reseval/rvt031
   Wiek A, 2012, SUSTAIN SCI, V7, P5, DOI 10.1007/s11625-011-0148-y
   Wittmayer JM, 2014, SUSTAIN SCI, V9, P483, DOI 10.1007/s11625-014-0258-4
   Yin R.K., 2003, DESIGN METHODS APPL
NR 71
TC 9
Z9 10
U1 0
U2 17
PU SPRINGER JAPAN KK
PI TOKYO
PA SHIROYAMA TRUST TOWER 5F, 4-3-1 TORANOMON, MINATO-KU, TOKYO, 105-6005,
   JAPAN
SN 1862-4065
EI 1862-4057
J9 SUSTAIN SCI
JI Sustain. Sci.
PD JUL
PY 2018
VL 13
IS 4
BP 1137
EP 1154
DI 10.1007/s11625-017-0514-5
PG 18
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA GI6UP
UT WOS:000434638900015
DA 2025-01-10
ER

PT J
AU Oliver, TH
   Gillings, S
   Pearce-Higgins, JW
   Brereton, T
   Crick, HQP
   Duffield, SJ
   Morecroft, MD
   Roy, DB
AF Oliver, Tom H.
   Gillings, Simon
   Pearce-Higgins, James W.
   Brereton, Tom
   Crick, Humphrey Q. P.
   Duffield, Simon J.
   Morecroft, Michael D.
   Roy, David B.
TI Large extents of intensive land use limit community reorganization
   during climate warming
SO GLOBAL CHANGE BIOLOGY
LA English
DT Article
DE climate change impacts; climate change indicators; community shifts;
   community temperature index; land use-climate interactions; land-use
   impacts; land-use intensity
ID AGRICULTURAL INTENSIFICATION; PROTECTED AREAS; POPULATION-CHANGE; BIRD
   POPULATIONS; FARMLAND BIRDS; IMPACTS; BUTTERFLIES; LANDSCAPES;
   BIODIVERSITY; ABUNDANCE
AB Climate change is increasingly altering the composition of ecological communities, in combination with other environmental pressures such as high-intensity land use. Pressures are expected to interact in their effects, but the extent to which intensive human land use constrains community responses to climate change is currently unclear. A generic indicator of climate change impact, the community temperature index (CTI), has previously been used to suggest that both bird and butterflies are successfully 'tracking' climate change. Here, we assessed community changes at over 600 English bird or butterfly monitoring sites over three decades and tested how the surrounding land has influenced these changes. We partitioned community changes into warm-and cold-associated assemblages and found that English bird communities have not reorganized successfully in response to climate change. CTI increases for birds are primarily attributable to the loss of cold-associated species, whilst for butterflies, warm-associated species have tended to increase. Importantly, the area of intensively managed land use around monitoring sites appears to influence these community changes, with large extents of intensively managed land limiting 'adaptive' community reorganization in response to climate change. Specifically, high-intensity land use appears to exacerbate declines in cold-adapted bird and butterfly species, and prevent increases in warm-associated birds. This has broad implications for managing landscapes to promote climate change adaptation.
C1 [Oliver, Tom H.] Univ Reading, Sch Biol Sci, Harborne Bldg, Reading RG6 6AS, Berks, England.
   [Oliver, Tom H.; Roy, David B.] NERC Ctr Ecol Hydrol, Maclean Bldg,Benson Lane, Wallingford OX10 8BB, Oxon, England.
   [Gillings, Simon; Pearce-Higgins, James W.] British Trust Ornithol, Nunnery, Thetford Norfolk IP24 2PU, England.
   [Brereton, Tom] Butterfly Conservat, Wareham BH20 5QP, Dorset, England.
   [Crick, Humphrey Q. P.; Duffield, Simon J.; Morecroft, Michael D.] Nat England, Shaftesbury Rd, Cambridge CB2 8DR, England.
C3 University of Reading; UK Centre for Ecology & Hydrology (UKCEH);
   British Trust for Ornithology
RP Oliver, TH (corresponding author), Univ Reading, Sch Biol Sci, Harborne Bldg, Reading RG6 6AS, Berks, England.; Oliver, TH (corresponding author), NERC Ctr Ecol Hydrol, Maclean Bldg,Benson Lane, Wallingford OX10 8BB, Oxon, England.
EM t.oliver@reading.ac.uk
RI Oliver, Tom/K-2670-2012; Morecroft, Mike/IQT-7880-2023; Roy,
   David/A-6619-2009
FU Natural England [NECR112]; NERC EHFI grant [NE/E011942/1]; NERC
   [NE/E011942/1] Funding Source: UKRI
FX We thank UKBMS and BTO recorders for the data resources. The UKBMS is
   operated by the Centre for Ecology & Hydrology, Butterfly Conservation
   and the British Trust for Ornithology, and funded by a multiagency
   consortium including the Joint Nature Conservation Committee, Forestry
   Commission, Natural England, the Natural Environment Research Council,
   Natural Resources Wales, and Scottish Natural Heritage. This work was
   funded by Natural England (NECR112) and NERC EHFI grant (NE/E011942/1).
   Photograph credits to R. Criniti, B. Matheson, and G. Hampshire.
CR [Anonymous], 2015, MuMIn: Multi-Model Inference
   [Anonymous], 1982, FIELD VALIDATION SOM
   [Anonymous], 652 BTO
   [Anonymous], VERS 3 UK CLIM PROJ
   [Anonymous], 2008, CLIMATIC RISK ATLAS
   [Anonymous], 2015, Journal of Statistical Software, DOI DOI 10.18637/JSS.V067.I01
   Balmer DE., 2013, Bird atlas 2007 11: the breeding and wintering birds of Britain and Ireland
   Barnagaud JY, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0032819
   Bellard C, 2012, ECOL LETT, V15, P365, DOI 10.1111/j.1461-0248.2011.01736.x
   Benton TG, 2002, J APPL ECOL, V39, P673, DOI 10.1046/j.1365-2664.2002.00745.x
   Bjornstad O.N., 2009, NCF SPATIAL NONPARAM
   Brook BW, 2008, TRENDS ECOL EVOL, V23, P453, DOI 10.1016/j.tree.2008.03.011
   Burns F, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0151595
   Cahill AE, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2012.1890
   Chamberlain DE, 2000, J APPL ECOL, V37, P771, DOI 10.1046/j.1365-2664.2000.00548.x
   Clavero M, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0018581
   De Palma A, 2017, ECOGRAPHY, V40, P577, DOI 10.1111/ecog.02228
   Devictor V, 2008, P ROY SOC B-BIOL SCI, V275, P2743, DOI 10.1098/rspb.2008.0878
   Devictor V, 2012, NAT CLIM CHANGE, V2, P121, DOI 10.1038/NCLIMATE1347
   Dolman PM, 2007, IBIS, V149, P146, DOI 10.1111/j.1474-919X.2007.00748.x
   Donald PF, 2006, AGR ECOSYST ENVIRON, V116, P189, DOI 10.1016/j.agee.2006.02.007
   Donald PF, 2001, P ROY SOC B-BIOL SCI, V268, P25, DOI 10.1098/rspb.2000.1325
   Dover J, 2009, J INSECT CONSERV, V13, P3, DOI 10.1007/s10841-008-9135-8
   Eglington SM, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0030407
   Ekroos J, 2010, J APPL ECOL, V47, P459, DOI 10.1111/j.1365-2664.2009.01767.x
   Finch T, 2014, BIODIVERS CONSERV, V23, P2427, DOI 10.1007/s10531-014-0731-5
   Firbank LG, 2008, PHILOS T R SOC B, V363, P777, DOI 10.1098/rstb.2007.2183
   Forister ML, 2010, P NATL ACAD SCI USA, V107, P2088, DOI 10.1073/pnas.0909686107
   Fox R., 2006, STATE BUTTERFLIES BR
   Fuller RM, 2002, CARTOGR J, V39, P15
   Gaüzère P, 2015, GLOBAL CHANGE BIOL, V21, P3367, DOI 10.1111/gcb.12917
   Gaüzère P, 2016, DIVERS DISTRIB, V22, P625, DOI 10.1111/ddi.12426
   Gillingham PK, 2015, BIOL J LINN SOC, V115, P707, DOI 10.1111/bij.12506
   Hanski I, 2000, NATURE, V404, P755, DOI 10.1038/35008063
   Isaac NJB, 2011, METHODS ECOL EVOL, V2, P585, DOI 10.1111/j.2041-210X.2011.00109.x
   Kampichler C, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0035272
   Klop E, 2015, J INSECT CONSERV, V19, P393, DOI 10.1007/s10841-014-9748-z
   Lambin EF, 2011, P NATL ACAD SCI USA, V108, P3465, DOI 10.1073/pnas.1100480108
   Lawson CR, 2012, J APPL ECOL, V49, P552, DOI 10.1111/j.1365-2664.2011.02098.x
   Lindström Å, 2013, ECOGRAPHY, V36, P313, DOI 10.1111/j.1600-0587.2012.07799.x
   Marchant J.H., 1990, POPULATION TRENDS BR
   Nakagawa S, 2013, METHODS ECOL EVOL, V4, P133, DOI 10.1111/j.2041-210x.2012.00261.x
   Newson SE, 2014, ECOGRAPHY, V37, P872, DOI 10.1111/ecog.00575
   Nieto-Sánchez S, 2015, DIVERS DISTRIB, V21, P950, DOI 10.1111/ddi.12316
   Ockendon N, 2014, J ORNITHOL, V155, P905, DOI 10.1007/s10336-014-1073-5
   Ockendon N, 2014, GLOBAL CHANGE BIOL, V20, P2221, DOI 10.1111/gcb.12559
   Oliver T, 2010, ECOL LETT, V13, P473, DOI 10.1111/j.1461-0248.2010.01441.x
   Oliver TH, 2015, NAT CLIM CHANGE, V5, P941, DOI [10.1038/nclimate2746, 10.1038/NCLIMATE2746]
   Oliver TH, 2014, ECOGRAPHY, V37, P863, DOI 10.1111/ecog.00608
   Oliver TH, 2014, WIRES CLIM CHANGE, V5, P317, DOI 10.1002/wcc.271
   Oliver TH, 2013, ECOGRAPHY, V36, P579, DOI 10.1111/j.1600-0587.2012.07665.x
   Oliver TH, 2012, GLOBAL CHANGE BIOL, V18, P2720, DOI 10.1111/j.1365-2486.2012.02737.x
   Parmesan C, 2006, ANNU REV ECOL EVOL S, V37, P637, DOI 10.1146/annurev.ecolsys.37.091305.110100
   Piha H, 2007, GLOBAL CHANGE BIOL, V13, P300, DOI 10.1111/j.1365-2486.2006.01276.x
   Pollard E., 1993, Monitoring butterflies for ecology and conservation
   Princé K, 2015, GLOBAL CHANGE BIOL, V21, P572, DOI 10.1111/gcb.12740
   Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   Rothery P, 2001, J APPL STAT, V28, P897, DOI 10.1080/02664760120074979
   Schweiger O, 2014, ZOOKEYS, P65, DOI 10.3897/zookeys.367.6185
   Settele J, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P271
   Soberón J, 2007, ECOL LETT, V10, P1115, DOI 10.1111/j.1461-0248.2007.01107.x
   Stefanescu C, 2011, ECOGRAPHY, V34, P353, DOI 10.1111/j.1600-0587.2010.06264.x
   Tayleur CM, 2016, DIVERS DISTRIB, V22, P468, DOI 10.1111/ddi.12412
   Thaxter CB, 2010, BIOL CONSERV, V143, P2006, DOI 10.1016/j.biocon.2010.05.004
   Thomas CD, 2012, P NATL ACAD SCI USA, V109, P14063, DOI 10.1073/pnas.1210251109
   Van Dyck H, 2015, OIKOS, V124, P54, DOI 10.1111/oik.02066
   Wallisdevries MF, 2006, GLOBAL CHANGE BIOL, V12, P1620, DOI 10.1111/j.1365-2486.2006.01202.x
   Warren MS, 2001, NATURE, V414, P65, DOI 10.1038/35102054
NR 68
TC 49
Z9 55
U1 3
U2 57
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1354-1013
EI 1365-2486
J9 GLOBAL CHANGE BIOL
JI Glob. Change Biol.
PD JUN
PY 2017
VL 23
IS 6
BP 2272
EP 2283
DI 10.1111/gcb.13587
PG 12
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA ET7AO
UT WOS:000400445900013
PM 28073167
OA hybrid, Green Accepted, Green Published
DA 2025-01-10
ER

PT J
AU Dequin, S
   Escudier, JL
   Bely, M
   Noble, J
   Albertin, W
   Masneuf-Pomarède, I
   Marullo, P
   Salmon, JM
   Sablayrolles, JM
AF Dequin, S.
   Escudier, J. L.
   Bely, M.
   Noble, J.
   Albertin, W.
   Masneuf-Pomarede, I.
   Marullo, P.
   Salmon, J. M.
   Sablayrolles, J. M.
TI How to adapt winemaking practices to modified grape composition under
   climate change conditions
SO OENO ONE
LA English
DT Article
DE Climate change; winemaking; yeast; alcohol; acidity
ID SACCHAROMYCES-CEREVISIAE; ALCOHOLIC FERMENTATION; ASSIMILABLE NITROGEN;
   YEAST; GLYCEROL; OXYGEN; DEHYDROGENASE; ADDITIONS; SOLIDS; STUCK
AB Aim: In the context of climate change, adaptation of enological practices and implementation of novel techniques are major challenges for winemakers. The potential interventions are linked in particular with the alcohol content and the global acidity of wine. Here, we review current microbiological and technological strategies to overcome such issues.
   Methods and results: Reducing ethanol concentration poses a number of technical and scientific challenges, in particular looking for specific yeast strains with lower alcohol yield. Several non-genetically modified organism (GMO) strains - S. cerevisiae or interspecific hybrids of the Saccharomyces genus - have yet been developed using different strategies, and some of them allow decreasing the final ethanol concentration by up to 1%. Several membrane-based technologies have also been developed not only to reduce the ethanol content of wines but also to increase the acidity and more generally to control the wine pH.
   New strategies are also proposed to improve the control of winemaking, especially the management of alcoholic fermentation of sugar-rich musts and the control of oxidation during the process.
   Conclusion: Reducing ethanol of wines and increasing their acidity are good examples of novel techniques of interest in the context of climate change. Other strategies are still under study to adapt winemaking practices to changes in grape composition.
   Significance and impact of the study: Membrane-based technologies can be used to reduce the ethanol content of wines or to increase the acidity. Microbiological strategies will also be soon available for winemakers.
C1 [Dequin, S.; Sablayrolles, J. M.] INRA, UMR Sci OEnol 1083, 2 Pl Viala, F-34060 Montpellier 2, France.
   [Escudier, J. L.; Salmon, J. M.] INRA, UE Pech Rouge 999, Domaine Expt Pech Rouge, F-11430 Gruissan, France.
   [Bely, M.; Albertin, W.; Masneuf-Pomarede, I.; Marullo, P.] Univ Bordeaux, Unite Rech OEnol EA 4577, INRA, USC 1366,ISVV, F-33140 Villenave Dornon, France.
   [Noble, J.] Lallemand SAS, F-31700 Blagnac, France.
   [Masneuf-Pomarede, I.] Bordeaux Sci Agro, F-33175 Gradignan, France.
   [Marullo, P.] Biolaffort, F-33100 Bordeaux, France.
C3 INRAE; INRAE; Universite de Bordeaux; INRAE; Lallemand - France
RP Sablayrolles, JM (corresponding author), INRA, UMR Sci OEnol 1083, 2 Pl Viala, F-34060 Montpellier 2, France.
EM sablayro@supagro.inra.fr
OI Albertin, Warren/0000-0002-7385-9882; Masneuf-Pomarede,
   Isabelle/0000-0002-8806-8944; Marullo, Philippe/0000-0002-3594-5173;
   Dequin, Sylvie/0000-0002-9114-2324
CR Aguera E., 2010, Bulletin de l'OIV, V83, P31
   Aguera E., 2012, REV FRANCAISE OENOLO, V250, P2
   BELY M, 1990, J FERMENT BIOENG, V70, P246, DOI 10.1016/0922-338X(90)90057-4
   Bes M., 2010, Revue des Oenologues No, V135, P9
   Blateyron L, 2001, J BIOSCI BIOENG, V91, P184, DOI 10.1263/jbb.91.184
   BLOMBERG A, 1989, J BACTERIOL, V171, P1087, DOI 10.1128/jb.171.2.1087-1092.1989
   Borodina I, 2014, BIOTECHNOL J, V9, P609, DOI 10.1002/biot.201300445
   Bouissou D., 2014, Bulletin de l'OIV, V87, P537
   Caille S., 2011, ACT C 9 S INT OEN BO, P1043
   Cambon B, 2006, APPL ENVIRON MICROB, V72, P4688, DOI 10.1128/AEM.02975-05
   Casalta E, 2013, AUST J GRAPE WINE R, V19, P47, DOI 10.1111/j.1755-0238.2012.00205.x
   Casalta E, 2016, AM J ENOL VITICULT, V67, P133, DOI 10.5344/ajev.2015.15060
   Cheynier V, 2010, COMPREHENSIVE NATURAL PRODUCTS II: CHEMISTRY AND BIOLOGY, VOL 3: DEVELOPMENT & MODIFICATION OF BIOACTIVITY, P1119
   da Silva T, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0123834
   Ehsani M, 2009, APPL ENVIRON MICROB, V75, P3196, DOI 10.1128/AEM.02157-08
   Escudier J. L., 2012, AM SOC EN M PORTL US
   Frissant S., 2012, REV OENOL, V145, P21
   GOLDNER MC, 2009, J SENS STUD, V24, P243, DOI 10.1111/j.1745-459X.2009.00208.x
   Hofmann T, 1996, J AGR FOOD CHEM, V44, P251, DOI 10.1021/jf9500703
   Lippman ZB, 2007, TRENDS GENET, V23, P60, DOI 10.1016/j.tig.2006.12.006
   López-Malo M, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0060135
   Luparia V, 2004, APPL MICROBIOL BIOT, V65, P25, DOI 10.1007/s00253-003-1549-3
   Lutin F., 2010, REV OENOL TECH VITIV, V137, P24
   Masneuf-Pomarède I, 2010, INT J FOOD MICROBIOL, V139, P79, DOI 10.1016/j.ijfoodmicro.2010.01.038
   Michnick S, 1997, YEAST, V13, P783, DOI 10.1002/(SICI)1097-0061(199707)13:9<783::AID-YEA128>3.0.CO;2-W
   Muller K., 2007, 8 S OEN BORD BORD FR
   Nevoigt E, 2008, MICROBIOL MOL BIOL R, V72, P379, DOI 10.1128/MMBR.00025-07
   Pérez-Torrado R, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00435
   Remize F, 1999, APPL ENVIRON MICROB, V65, P143
   Sablayrolles JM, 1996, J FERMENT BIOENG, V82, P377, DOI 10.1016/0922-338X(96)89154-9
   Salmon J. M., 2007, Bulletin de l'OIV, V80, P321
   Salmon J. M, 2007, B OIV, P914
   Salmon JM, 2006, LWT-FOOD SCI TECHNOL, V39, P959, DOI 10.1016/j.lwt.2005.11.005
   Salmon JM., 2016, REV OENOLOGUES, V43, P25
   Samson A, 2009, LE VIN ROSE, P207
   Schmidtke LM, 2012, J FOOD SCI, V77, pR25, DOI 10.1111/j.1750-3841.2011.02448.x
   Sieczkowski N., 2016, REV OENOL, V160, P38
   Sieczkowski N., 2016, REV OENOL, V159, P25
   Soubeyrand V, 2005, J AGR FOOD CHEM, V53, P8025, DOI 10.1021/jf050907m
   Tilloy V, 2015, INT J FOOD MICROBIOL, V213, P49, DOI 10.1016/j.ijfoodmicro.2015.06.027
   Varela C, 2012, APPL ENVIRON MICROB, V78, P6068, DOI 10.1128/AEM.01279-12
NR 41
TC 28
Z9 28
U1 3
U2 30
PU VIGNE ET VIN PUBLICATIONS INT
PI VILLENAVE D ORNON
PA 210 CHEMIN DE LEYSOTTE CS 50008, 33882 VILLENAVE D ORNON, FRANCE
SN 2494-1271
J9 OENO ONE
JI OENE One
PY 2017
VL 51
IS 2
BP 205
EP 214
DI 10.20870/oeno-one.2016.0.0.1584
PG 10
WC Food Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Food Science & Technology
GA FJ2LL
UT WOS:000412559000016
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Bond, NR
   Thomson, JR
   Reich, P
AF Bond, Nick R.
   Thomson, James R.
   Reich, Paul
TI Incorporating climate change in conservation planning for freshwater
   fishes
SO DIVERSITY AND DISTRIBUTIONS
LA English
DT Article
DE Climate change adaptation; range shifts; rivers; species distribution
   models; zonation
ID SPECIES DISTRIBUTION MODELS; VALIDATION; PRIORITIES; SELECTION
AB Aim To assess how the inclusion of predicted climate-change-related range shifts alters the spatial prioritization of habitats and predicted biodiversity benefits from systematic conservation planning under alternative realized climates.
   Location Victoria, Australia.
   Methods We combined predicted distribution patterns of freshwater fish under multiple climate scenarios with marginal benefit conservation planning algorithms to compare conservation outcomes from multiple planning scenarios based on predicted present and future range-shifted distributions. For each of these planning options, we examined the outcomes under a range of possible realized climates.
   Results Expected conservation outcomes under future climate scenarios were always better when potential range shifts were incorporated into the planning process, irrespective of which climate scenario was realized. However, the differences in conservation outcomes between planning strategies were often small, and expected conservation outcomes always were worse under altered climate scenarios than under a stable baseline climate scenario. River segments with variable rankings across planning scenarios reflected areas where risks of maladaptive prioritization are potentially high.
   Main conclusions This study highlights that greatest conservation gains will come from ongoing efforts to limit the degree of global warming. Nevertheless, within the constraints imposed by a changing climate, the inclusion of future range shifts in conservation plans can help insure against ineffective and potentially maladaptive prioritization decisions. The acknowledged caveats around statistical predictions of species distributions and range shifts also need to be considered when acting on the outputs from modelled predictions such as these.
C1 [Bond, Nick R.] Griffith Univ, Australian Rivers Inst, Brisbane, Qld 4111, Australia.
   [Thomson, James R.] Univ Canberra, Inst Appl Ecol, Canberra, ACT 2601, Australia.
   [Reich, Paul] Monash Univ, Sch Biol Sci, Melbourne, Vic 3004, Australia.
   [Reich, Paul] Arthur Rylah Res Inst, Dept Environm & Primary Ind, Heidelberg, Vic, Australia.
C3 Griffith University; University of Canberra; Monash University
RP Bond, NR (corresponding author), Griffith Univ, Australian Rivers Inst, 170 Kessels Rd, Brisbane, Qld 4111, Australia.
EM n.bond@griffith.edu.au
RI Thomson, Jim/W-2950-2019; Bond, Nick/A-1129-2016
OI Bond, Nick/0000-0003-4294-6008
FU Office of Water within the Victorian Department of Sustainability and
   Environment; eWater CRC
FX This project was made possible through funding from the Office of Water
   within the Victorian Department of Sustainability and Environment, and
   we are grateful for the efforts of Sam Marwood who provided project
   management support and guidance throughout, as well as input from the
   various members of the steering committee (Bill O'Connor, Paul Bennett,
   Ian Rutherfurd, Leon Metzeling, Tara Boyd, Ingrid Holliday, Christine
   Hughes, Stephen Nicol, Paulo Lay and Sarina Loo). eWater CRC also
   provided additional support for the project. Numerous individuals
   contributed datasets that made this modelling possible, including Mark
   Kennard (Griffith University, Hydrology Data), MDBA (SRA data), Jason
   Leschke (DEPI, SRA southern rivers data) and Hayley Rokahr (DEPI, AFD
   Records). Additional advice from Francis Chiew and Bill Young (CSIRO)
   and Tony Ladson, Rory Nathan and Lisa Lowe (SKM) also helped improve the
   hydrologic analysis and prediction. Graeme Newell also provided
   thoughtful discussion and comments on an earlier draft of the
   manuscript.
CR [Anonymous], ZONATION SPATIAL CON
   Araújo MB, 2005, GLOBAL CHANGE BIOL, V11, P1504, DOI 10.1111/j.1365-2486.2005.01000.x
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Bond N, 2011, MAR FRESHWATER RES, V62, P1043, DOI 10.1071/MF10286
   Burgman M., 2005, Risks and decisions for conservation and environmental management
   Carpenter KE, 2008, SCIENCE, V321, P560, DOI 10.1126/science.1159196
   Carroll C, 2010, GLOBAL CHANGE BIOL, V16, P891, DOI 10.1111/j.1365-2486.2009.01965.x
   Carvalho SB, 2011, BIOL CONSERV, V144, P2020, DOI 10.1016/j.biocon.2011.04.024
   Efron B, 1997, J AM STAT ASSOC, V92, P548, DOI 10.2307/2965703
   Elith J, 2008, J ANIM ECOL, V77, P802, DOI 10.1111/j.1365-2656.2008.01390.x
   Grant EHC, 2007, ECOL LETT, V10, P165, DOI 10.1111/j.1461-0248.2006.01007.x
   Hannah L, 2002, GLOBAL ECOL BIOGEOGR, V11, P485, DOI 10.1046/j.1466-822X.2002.00306.x
   IPCC, 2000, SPEC REP IPCC WORK G
   Jones R.N., 2005, Estimating the Impacts of Climate Change on Victorias Runoff Using a Hydrological Sensitivity Model
   KIRKPATRICK JB, 1983, BIOL CONSERV, V25, P127, DOI 10.1016/0006-3207(83)90056-3
   Kremen C, 2008, SCIENCE, V320, P222, DOI 10.1126/science.1155193
   Kujala H, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0053315
   Leathwick JR, 2010, BIOL CONSERV, V143, P984, DOI 10.1016/j.biocon.2010.01.012
   Margules CR, 2000, NATURE, V405, P243, DOI 10.1038/35012251
   Moilanen A, 2007, BIOL CONSERV, V134, P571, DOI 10.1016/j.biocon.2006.09.008
   Palmer MA, 2008, FRONT ECOL ENVIRON, V6, P81, DOI 10.1890/060148
   Peterson GD, 2003, CONSERV BIOL, V17, P358, DOI 10.1046/j.1523-1739.2003.01491.x
   Saxon E, 2005, ECOL LETT, V8, P53, DOI 10.1111/j.1461-0248.2004.00694.x
   Schloss CA, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0028788
   Sinclair SJ, 2010, ECOL SOC, V15, DOI 10.5751/ES-03089-150108
   Stein JL, 2002, LANDSCAPE URBAN PLAN, V60, P1, DOI 10.1016/S0169-2046(02)00048-8
   Strange N, 2011, BIOL CONSERV, V144, P2968, DOI 10.1016/j.biocon.2011.08.022
   Williams JW, 2007, FRONT ECOL ENVIRON, V5, P475, DOI 10.1890/070037
   Xenopoulos MA, 2006, ECOLOGY, V87, P1907, DOI 10.1890/0012-9658(2006)87[1907:GWTFUS]2.0.CO;2
NR 29
TC 24
Z9 27
U1 1
U2 79
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1366-9516
EI 1472-4642
J9 DIVERS DISTRIB
JI Divers. Distrib.
PD AUG
PY 2014
VL 20
IS 8
BP 931
EP 942
DI 10.1111/ddi.12213
PG 12
WC Biodiversity Conservation; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA AL9TS
UT WOS:000339485200007
OA hybrid
DA 2025-01-10
ER

PT J
AU Prior, T
   Eriksen, C
AF Prior, Tim
   Eriksen, Christine
TI Wildfire preparedness, community cohesion and social-ecological systems
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Wildfire; Preparedness; Community cohesion; Resilience;
   Social-ecological system
ID WILDLAND-URBAN INTERFACE; RESILIENCE; RISK; FIRE; HAZARD; VULNERABILITY;
   MITIGATION; MANAGEMENT; BUSHFIRE; PERSPECTIVES
AB The consequences of wildfires are felt in susceptible communities around the globe on an annual basis. Climate change predictions in places like the south-east of Australia and western United States suggest that wildfires may become more frequent and more intense with global climate change. Compounding this issue is progressive urban development at the pen-urban fringe (wildland-urban interface), where continued infrastructure development and demographic changes are likely to expose more people and property to this potentially disastrous natural hazard. Preparing well in advance of the wildfire season is seen as a fundamental behaviour that can both reduce community wildfire vulnerability and increase hazard resilience - it is an important element of adaptive capacity that allows people to coexist with the hazardous environment in which they live. We use household interviews and surveys to build and test a substantive model that illustrates how social cohesion influences the decision to prepare for wildfire. We demonstrate that social cohesion, particularly community characteristics like 'sense of community' and 'collective problem solving', are community-based resources that support both the adoption of mechanical preparations, and the development of cognitive abilities and capacities that reduce vulnerability and enhance resilience to wildfire. We use the results of this work to highlight opportunities to transfer techniques and approaches from natural hazards research to climate change adaptation research to explore how the impacts attributed to the social components of social-ecological systems can be mitigated more effectively. (C) 2013 Elsevier Ltd. All rights reserved.
C1 [Prior, Tim] ETH, Ctr Secur Studies, CH-8092 Zurich, Switzerland.
   [Eriksen, Christine] Univ Wollongong, Sch Earth & Environm Sci, Australian Ctr Cultural Environm Res, Wollongong, NSW 2522, Australia.
C3 Swiss Federal Institutes of Technology Domain; ETH Zurich; University of
   Wollongong
RP Prior, T (corresponding author), ETH, Ctr Secur Studies, Haldeneggsteig 4, CH-8092 Zurich, Switzerland.
EM tim.prior@sipo.gess.ethz.ch
RI Eriksen, Christine/J-6912-2012
OI Eriksen, Christine/0000-0002-2906-9680; Prior, Tim/0009-0006-1726-2770
FU Bushfire Cooperative Research Centre, Australia
FX This research was undertaken with financial support from the Bushfire
   Cooperative Research Centre, Australia. The authors wish to thank the
   three anonymous reviewers for their helpful suggestions on the
   manuscript.
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   AFAC, 2010, POS PAP BUSHF COMM S, P21
   Alesina A, 2000, Q J ECON, V115, P847, DOI 10.1162/003355300554935
   ANDERSON JC, 1988, PSYCHOL BULL, V103, P411, DOI 10.1037/0033-2909.103.3.411
   [Anonymous], 2004, LIV RISK GLOB REV DI
   BANDURA A, 1977, PSYCHOL REV, V84, P191, DOI 10.1037/0033-295X.84.2.191
   Bandura A., 1986, SOCIAL FDN THOUGHT A
   Basili M, 2006, RISK ANAL, V26, P1721, DOI 10.1111/j.1539-6924.2006.00826.x
   Bechara A, 1997, SCIENCE, V275, P1293, DOI 10.1126/science.275.5304.1293
   Berkes F, 2007, NAT HAZARDS, V41, P283, DOI 10.1007/s11069-006-9036-7
   Bihari M, 2012, LANDSCAPE URBAN PLAN, V106, P253, DOI 10.1016/j.landurbplan.2012.03.011
   Bishop B., 2000, NETWORK, V12, P1
   Bonanno GA, 2005, CURR DIR PSYCHOL SCI, V14, P135, DOI 10.1111/j.0963-7214.2005.00347.x
   Bradstock RA, 2009, INT J WILDLAND FIRE, V18, P932, DOI 10.1071/WF08133
   Brenkert-Smith H, 2006, SOC NATUR RESOUR, V19, P759, DOI 10.1080/08941920600801207
   Brenkert-Smith H, 2011, J FOREST, V109, P193
   Brenkert-Smith H, 2010, INT J WILDLAND FIRE, V19, P689, DOI 10.1071/WF09063
   Buxton M., 2006, Change and Continuity and Peri-Urban Australia. State of the Peri-Urban Regions: A Review of the Literature
   Byrne B.M., 2001, Applications, and Programming
   Carroll MS, 2005, SOC NATUR RESOUR, V18, P301, DOI 10.1080/08941920590915224
   CARVER CS, 1989, J PERS SOC PSYCHOL, V56, P267, DOI 10.1037/0022-3514.56.2.267
   CDRSS, 2006, COMM DIS RES SOC SCI
   Cocklin C., 2005, SUSTAINABILITY CHANG, V1st
   Collins TW, 2009, SOC NATUR RESOUR, V22, P211, DOI 10.1080/08941920801905336
   Cottrell A., 2005, Environmental Hazards, V6, P109, DOI 10.1016/j.hazards.2005.10.002
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   DAKE K, 1992, J SOC ISSUES, V48, P21, DOI 10.1111/j.1540-4560.1992.tb01943.x
   DONOVAN JL, 1992, SOC SCI MED, V34, P507, DOI 10.1016/0277-9536(92)90206-6
   Eiser JR, 2012, INT J DISAST RISK RE, V1, P5, DOI 10.1016/j.ijdrr.2012.05.002
   Enarson ElainePitt., 2012, Women Confronting Natural Disaster: From Vulnerability to Resilience
   ENG E, 1994, HEALTH EDUC QUART, V21, P199, DOI 10.1177/109019819402100206
   Eriksen C, 2011, INT J WILDLAND FIRE, V20, P612, DOI 10.1071/WF10018
   Eriksen C, 2010, J RURAL STUD, V26, P332, DOI 10.1016/j.jrurstud.2010.06.001
   Eriksen C, 2010, GEOFORUM, V41, P814, DOI 10.1016/j.geoforum.2010.05.004
   Finucane ML, 2000, J BEHAV DECIS MAKING, V13, P1, DOI 10.1002/(SICI)1099-0771(200001/03)13:1<1::AID-BDM333>3.0.CO;2-S
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Forrest R, 2001, URBAN STUD, V38, P2125, DOI 10.1080/00420980120087081
   Fox CR, 2000, ORGAN BEHAV HUM DEC, V82, P268, DOI 10.1006/obhd.2000.2898
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Gibbons P, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0029212
   Grothmann T, 2006, NAT HAZARDS, V38, P101, DOI 10.1007/s11069-005-8604-6
   Haimes YY, 2009, RISK ANAL, V29, P498, DOI 10.1111/j.1539-6924.2009.01216.x
   Handmer J., 2008, Community Bushfire Safety
   Hannigan A.J., 2006, ENV SOCIOLOGY SOCIAL
   Hardin C.D., 1996, MOTIVATION COGNITION
   Hennessy K., 2005, CLIMATE CHANGE IMPAC
   Holstein J.A., 2006, RECONSIDERING SOCIAL, P560
   Jones BD, 1999, ANNU REV POLIT SCI, V2, P297, DOI 10.1146/annurev.polisci.2.1.297
   Jonientz-Trisler C, 2005, NAT HAZARDS, V35, P121, DOI 10.1007/s11069-004-2408-y
   Kahneman D, 2003, AM PSYCHOL, V58, P697, DOI 10.1037/0003-066X.58.9.697
   Keller C, 2006, RISK ANAL, V26, P631, DOI 10.1111/j.1539-6924.2006.00773.x
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Kline RB., 2016, Principles and Practice of Structural Equation Modeling, V4th ed.
   Lachapelle PR, 2012, SOC NATUR RESOUR, V25, P321, DOI 10.1080/08941920.2011.569855
   Lindell MK, 2000, ENVIRON BEHAV, V32, P461, DOI 10.1177/00139160021972621
   Lion R, 2002, RISK ANAL, V22, P765, DOI 10.1111/0272-4332.00067
   Loewenstein GF, 2001, PSYCHOL BULL, V127, P267, DOI 10.1037//0033-2909.127.2.267
   Low SethaM., 1992, PLACE ATTACHMENT
   Lucas C., 2007, BUSHFIRE WEATHER SE, DOI DOI 10.25919/5-31C82EE0A4C
   Lupton D, 2002, SOCIOLOGY, V36, P317, DOI 10.1177/0038038502036002005
   McCaffrey S, 2013, INT J WILDLAND FIRE, V22, P15, DOI 10.1071/WF11115
   McCaffrey SM, 2011, ENVIRON MANAGE, V48, P475, DOI 10.1007/s00267-011-9704-6
   McCaffrey SM, 2009, J FOREST, V107, P9
   McKenzie D, 2004, CONSERV BIOL, V18, P890, DOI 10.1111/j.1523-1739.2004.00492.x
   MCMILLAN DW, 1986, J COMMUNITY PSYCHOL, V14, P6, DOI 10.1002/1520-6629(198601)14:1<6::AID-JCOP2290140103>3.0.CO;2-I
   Morrison N., 2010, INT PLANN STUD, V8, P115, DOI [10.1080/13563470305154, DOI 10.1080/13563470305154]
   Nachtigall C., 2003, Methods Psychological Research Online, V8, P1
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Paton D., 2006, DISASTER RESILIENCE, P321
   Paton D., 2006, Disaster Resilience: An Integrated Approach
   Paton D, 2008, AUST J EMERG MANAG, V23, P41
   Paveglio TB, 2011, SOC NATUR RESOUR, V24, P18, DOI 10.1080/08941920802499073
   Paveglio TB, 2009, ENVIRON MANAGE, V43, P1085, DOI 10.1007/s00267-009-9282-z
   Prior T., 2010, HOUSEHOLDER BUSHFIRE, P317
   Sheeran P., 2002, EUR REV SOC PSYCHOL, V12, P1, DOI DOI 10.1080/14792772143000003
   Shinn M, 2003, ANNU REV PSYCHOL, V54, P427, DOI 10.1146/annurev.psych.54.101601.145052
   Siegrist M, 2000, RISK ANAL, V20, P713, DOI 10.1111/0272-4332.205064
   Siegrist M, 2008, RISK ANAL, V28, P771, DOI 10.1111/j.1539-6924.2008.01049.x
   SJOBERG L, 1982, J FORECASTING, V1, P349, DOI 10.1002/for.3980010403
   Slovic P, 2004, RISK ANAL, V24, P311, DOI 10.1111/j.0272-4332.2004.00433.x
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Steelman TA, 2004, SOC NATUR RESOUR, V17, P679, DOI 10.1080/08941920490480697
   Stewart SI, 2007, J FOREST, V105, P201
   Strauss AL, 1990, Basics of qualitative research: Grounded theory procedures and techniques
   Strauss E, 1998, CLIN ORTHOP RELAT R, P2
   Strunz S, 2012, ECOL ECON, V76, P112, DOI 10.1016/j.ecolecon.2012.02.012
   Sturtevant V., 2007, PUBLIC WILDLAND FIRE, P125
   Thomalla F, 2006, DISASTERS, V30, P39, DOI 10.1111/j.1467-9523.2006.00305.x
   Tierney KJ, 1999, SOCIOL FORUM, V14, P215, DOI 10.1023/A:1021414628203
   Tobin GA, 2002, DISASTERS, V26, P28, DOI 10.1111/1467-7717.00189
   TOBLER WR, 1970, ECON GEOGR, V46, P234, DOI 10.2307/143141
   TVERSKY A, 1981, SCIENCE, V211, P453, DOI 10.1126/science.7455683
   TVERSKY A, 1974, SCIENCE, V185, P1124, DOI 10.1126/science.185.4157.1124
   Ungar M, 2012, SOCIAL ECOLOGY OF RESILIENCE: A HANDBOOK OF THEORY AND PRACTICE, P13, DOI 10.1007/978-1-4614-0586-3_2
   Vermaak J., 2004, DEV SO AFR, V21, P555, DOI [DOI 10.1080/0376835, DOI 10.1080/0376835042000265487]
   Walker B., 2004, Ecology and Society, V9, P5
   Walker J, 2011, SECUR DIALOGUE, V42, P143, DOI 10.1177/0967010611399616
   Westley F., 2002, Panarchy: Understanding transformations in human and natural systems
   Whittaker J, 2012, J RURAL STUD, V28, P161, DOI 10.1016/j.jrurstud.2011.11.002
   Winter G, 2000, SOC NATUR RESOUR, V13, P33, DOI 10.1080/089419200279225
   WIRTH L, 1969, CLASSIC ESSAYS CULTU
NR 101
TC 116
Z9 137
U1 7
U2 119
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-3780
EI 1872-9495
J9 GLOBAL ENVIRON CHANG
JI Glob. Environ. Change-Human Policy Dimens.
PD DEC
PY 2013
VL 23
IS 6
SI SI
BP 1575
EP 1586
DI 10.1016/j.gloenvcha.2013.09.016
PG 12
WC Environmental Sciences; Environmental Studies; Geography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA 292DB
UT WOS:000329881300020
DA 2025-01-10
ER

PT J
AU Zheng, YF
   Chen, L
   Zhao, HP
AF Zheng, Yuanfan
   Chen, Liang
   Zhao, Haipeng
TI Assessing Building Energy Savings and the Greenhouse Gas Mitigation
   Potential of Green Roofs in Shanghai Using a GIS-Based Approach
SO SUSTAINABILITY
LA English
DT Article
DE green roofs; GHG mitigation; building energy savings; CO2 absorption;
   climate change adaptation
ID ANTHROPOGENIC HEAT; SIMULATION; PERFORMANCE; CITIES; IMPLEMENTATION;
   TEMPERATURE; CONSUMPTION; REDUCTION; EMISSIONS; BENEFITS
AB Climate change can significantly affect building energy use and associated greenhouse gas (GHG) emissions in urban areas, as fossil fuels remain a significant energy source. Green roofs can offer multiple benefits to the urban environment, but their effects on GHG mitigation have not been fully investigated, especially under climate change. This study assessed green roofs' contribution to GHG mitigation by saving building energy and absorbing CO2 under the present (2017-2019) and future (2049-2051) climate scenarios (SSP2-45 and SSP5-85) in Shanghai, China, at the city and township scale. A Geographic Information System (GIS)-based spatial statistical method was developed based on climate change modeling and building energy simulation. The results suggested that installing green roofs can effectively save building energy regardless of building type, yet the amount of savings can vary depending on the weather conditions within the city. The contribution analysis indicated that most saved building energy was attributed to the Heating, Ventilation, and Cooling (HVAC) system, with more energy saved under warmer climate scenarios in the future, particularly during the summer months. More energy was saved from shopping malls on an annual and monthly scale, regardless of the climate scenarios and weather zones. Finally, a case study indicated installing green roofs on all five types of buildings (office, hotel, hospital, shopping mall, apartment) of less than 50 m in height can reduce 8.28% of the CO2 emitted during the building operation stage in the entire city under the present climate scenario. The annual CO2 reduction varied with the location of townships, ranging from 2.18% to 13.78%, depending on the composition of building types and local weather conditions in Shanghai. This study offered policymakers a reference on the environmental benefits and investment values of installing green roofs in large cities.
C1 [Zheng, Yuanfan; Chen, Liang] Shanghai Normal Univ, Sch Environm & Geog Sci, Shanghai 200234, Peoples R China.
   [Zhao, Haipeng] Duke Univ, Nicholas Sch Environm, Div Earth & Climate Sci, Durham, NC 27708 USA.
C3 Shanghai Normal University; Duke University
RP Zhao, HP (corresponding author), Duke Univ, Nicholas Sch Environm, Div Earth & Climate Sci, Durham, NC 27708 USA.
EM zhengyuanfan@shnu.edu.cn; 1000527320@smail.shnu.edu.cn; h.zhao@duke.edu
RI Zhao, Haipeng/KYR-5568-2024; Zheng, Yuanfan/AHA-6617-2022
OI Zheng, Yuanfan/0000-0001-7219-1262; Zhao, Haipeng/0000-0001-9142-1684
FU National Natural Science Foundation of China; Shanghai Pujiang Program
   [21PJ1411600]; Capacity Building Program of Local Colleges and
   Universities in Shanghai [21010503300];  [42101314]
FX This study was sponsored by the National Natural Science Foundation of
   China (No. 42101314), Shanghai Pujiang Program (No. 21PJ1411600), and
   Capacity Building Program of Local Colleges and Universities in Shanghai
   (No. 21010503300).
CR Abuseif M, 2023, ENERG BUILDINGS, V286, DOI 10.1016/j.enbuild.2023.112938
   Aleksejeva J, 2022, URBAN FOR URBAN GREE, V74, DOI 10.1016/j.ufug.2022.127632
   [Anonymous], 2010, JGJ134-2010
   [Anonymous], 2023, Shanghai Statistical Yearbook
   [Anonymous], 2015, GB501892015 MIN HOUS
   [Anonymous], 2019, DBJ 13-62-2019
   Bevilacqua P, 2020, RENEW ENERG, V152, P1414, DOI 10.1016/j.renene.2020.01.085
   Carnieletto L, 2021, BUILD ENVIRON, V192, DOI 10.1016/j.buildenv.2021.107590
   Catalano C, 2016, LANDSCAPE URBAN PLAN, V149, P11, DOI 10.1016/j.landurbplan.2016.01.003
   Chen CY, 2022, BUILD ENVIRON, V219, DOI 10.1016/j.buildenv.2022.109147
   Chen TY, 2024, SUSTAIN CITIES SOC, V114, DOI 10.1016/j.scs.2024.105760
   China Association of Building Energy Efficiency, 2023, Research Report of China Building Energy Consumption and Carbon Emissions
   Costanzo V, 2016, ENERG BUILDINGS, V114, P247, DOI 10.1016/j.enbuild.2015.04.053
   Crawley DB, 2001, ENERG BUILDINGS, V33, P319, DOI 10.1016/S0378-7788(00)00114-6
   Duan ZC, 2023, J CLEAN PROD, V395, DOI 10.1016/j.jclepro.2023.136446
   Dwijendra NKA, 2023, SUSTAIN ENERGY TECHN, V56, DOI 10.1016/j.seta.2023.103127
   Fumo N, 2014, RENEW SUST ENERG REV, V31, P53, DOI 10.1016/j.rser.2013.11.040
   He Y, 2020, J CLEAN PROD, V267, DOI 10.1016/j.jclepro.2020.122205
   He Y, 2017, BUILD ENVIRON, V120, P13, DOI 10.1016/j.buildenv.2017.04.001
   Heusinger J, 2017, SCI TOTAL ENVIRON, V607, P623, DOI 10.1016/j.scitotenv.2017.07.052
   Huang JH, 2016, ENERGY, V111, P137, DOI 10.1016/j.energy.2016.05.118
   Jia SQ, 2024, NPJ URBAN SUSTAIN, V4, DOI 10.1038/s42949-024-00159-8
   Jing R, 2022, ENERGY, V256, DOI 10.1016/j.energy.2022.124626
   Karteris M, 2016, RENEW SUST ENERG REV, V58, P510, DOI 10.1016/j.rser.2015.11.098
   Li GS, 2019, SCI BULL, V64, P748, DOI 10.1016/j.scib.2019.04.023
   Li JF, 2010, BUILD ENVIRON, V45, P2644, DOI 10.1016/j.buildenv.2010.05.025
   Li XM, 2019, ENERGY, V174, P407, DOI 10.1016/j.energy.2019.02.183
   Liang YM, 2022, ENERG BUILDINGS, V268, DOI 10.1016/j.enbuild.2022.112189
   Manso M, 2021, RENEW SUST ENERG REV, V135, DOI 10.1016/j.rser.2020.110111
   Mayrand F, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10040985
   Meinshausen M, 2020, GEOSCI MODEL DEV, V13, P3571, DOI 10.5194/gmd-13-3571-2020
   Moghbel M, 2017, URBAN CLIM, V20, P46, DOI 10.1016/j.uclim.2017.02.012
   Morakinyo TE, 2017, ENERG BUILDINGS, V145, P226, DOI 10.1016/j.enbuild.2017.03.066
   Nie Y, 2017, PROCEDIA ENGINEER, V205, P3124, DOI 10.1016/j.proeng.2017.10.134
   Noel T, 2022, DATA BRIEF, V45, DOI 10.1016/j.dib.2022.108669
   Pan Z, 2024, J CLEAN PROD, V444, DOI 10.1016/j.jclepro.2024.141270
   Peng LLH, 2019, ENERG BUILDINGS, V185, P247, DOI 10.1016/j.enbuild.2018.12.040
   Sailor DJ, 2008, ENERG BUILDINGS, V40, P1466, DOI 10.1016/j.enbuild.2008.02.001
   Sailor DJ, 2011, INT J CLIMATOL, V31, P189, DOI 10.1002/joc.2106
   Santamouris M, 2014, SOL ENERGY, V103, P682, DOI 10.1016/j.solener.2012.07.003
   Shanghai Municipal Bureau of Ecology and Environment, 2022, Notice on Adjusting Emission Factors in the Greenhouse Gas of Shanghai
   Shanghai Municipal Commission of Housing and Urban-Rural Development and Management, 2021, Shanghai State Office Buildings and Large-scale Public Buildings Energy Consumption Monitoring and Analysis Report
   Shen GR, 2020, URBAN FOR URBAN GREE, V51, DOI 10.1016/j.ufug.2020.126655
   Tamer T, 2023, ENERG BUILDINGS, V298, DOI 10.1016/j.enbuild.2023.113482
   van Vuuren DP, 2017, GLOBAL ENVIRON CHANG, V42, P148, DOI [10.1016/j.gloenvcha.2016.10.009, 10.1016/j.gloenvcha.2016.05.009]
   Wang CH, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-41458-5
   Wang M, 2024, APPL ENERG, V366, DOI 10.1016/j.apenergy.2024.123315
   Yang J, 2008, ATMOS ENVIRON, V42, P7266, DOI 10.1016/j.atmosenv.2008.07.003
   Zeng C, 2017, ENERG BUILDINGS, V150, P118, DOI 10.1016/j.enbuild.2017.05.079
   Zhang GH, 2018, ENERG BUILDINGS, V174, P414, DOI 10.1016/j.enbuild.2018.06.064
   Zhao H., 2023, Ph.D. dissertation
   Zheng YF, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16010286
   Zheng YF, 2018, J ENVIRON MANAGE, V206, P1274, DOI 10.1016/j.jenvman.2017.07.047
   Zhou LW, 2018, ENERG BUILDINGS, V174, P156, DOI 10.1016/j.enbuild.2018.06.020
   Zhou N, 2018, NAT ENERGY, V3, P978, DOI 10.1038/s41560-018-0253-6
NR 55
TC 0
Z9 0
U1 2
U2 2
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD SEP
PY 2024
VL 16
IS 18
AR 8150
DI 10.3390/su16188150
PG 23
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA H9I2Q
UT WOS:001326491200001
OA gold
DA 2025-01-10
ER

PT J
AU Maier, PA
   Vandergast, AG
   Bohonak, AJ
AF Maier, Paul A.
   Vandergast, Amy G.
   Bohonak, Andrew J.
TI Yosemite toad (<i>Anaxyrus canorus</i>) transcriptome reveals interplay
   between speciation genes and adaptive introgression
SO MOLECULAR ECOLOGY
LA English
DT Article
DE adaptive introgression; admixture; genomic islands of divergence;
   hybridization; reproductive isolation; transcriptome
ID NATURAL-SELECTION; GENOMIC ISLANDS; TRANSGRESSIVE SEGREGATION;
   DEVELOPMENTAL PLASTICITY; REPRODUCTIVE ISOLATION; CONVERGENT EVOLUTION;
   BAYESIAN-ESTIMATION; LARVAL DEVELOPMENT; LOCAL ADAPTATION; SPADEFOOT
   TOADS
AB Genomes are heterogeneous during the early stages of speciation, with small 'islands' of DNA appearing to reflect strong adaptive differences, surrounded by vast seas of relative homogeneity. As species diverge, secondary contact zones between them can act as an interface and selectively filter through advantageous alleles of hybrid origin. Such introgression is another important adaptive process, one that allows beneficial mosaics of recombinant DNA ('rivers') to flow from one species into another. Although genomic islands of divergence appear to be associated with reproductive isolation, and genomic rivers form by adaptive introgression, it is unknown whether islands and rivers tend to be the same or different loci. We examined three replicate secondary contact zones for the Yosemite toad (Anaxyrus canorus) using two genomic data sets and a morphometric data set to answer the questions: (1) How predictably different are islands and rivers, both in terms of genomic location and gene function? (2) Are the adaptive genetic trait loci underlying tadpole growth and development reliably islands, rivers or neither? We found that island and river loci have significant overlap within a contact zone, suggesting that some loci are first islands, and later are predictably converted into rivers. However, gene ontology enrichment analysis showed strong overlap in gene function unique to all island loci, suggesting predictability in overall gene pathways for islands. Genome-wide association study outliers for tadpole development included LPIN3, a lipid metabolism gene potentially involved in climate change adaptation, that is island-like for all three contact zones, but also appears to be introgressing (as a river) across one zone. Taken together, our results suggest that adaptive divergence and introgression may be more complementary forces than currently appreciated.
C1 [Maier, Paul A.; Bohonak, Andrew J.] San Diego State Univ, Dept Biol, San Diego, CA USA.
   [Maier, Paul A.] Gene By Gene, Family TreeDNA, Houston, TX USA.
   [Vandergast, Amy G.] US Geol Survey, Western Ecol Res Ctr, San Diego Field Stn, San Diego, CA USA.
   [Maier, Paul A.] Gene By Gene, Family TreeDNA, 1445 N Loop W,Suite 820, Houston, TX 77008 USA.
C3 California State University System; San Diego State University; United
   States Department of the Interior; United States Geological Survey
RP Maier, PA (corresponding author), Gene By Gene, Family TreeDNA, 1445 N Loop W,Suite 820, Houston, TX 77008 USA.
EM paulm@genebygene.com
RI Maier, Paul/I-5367-2017; Vandergast, Amy/H-3618-2012
OI Bohonak, Andrew/0000-0002-5429-2331; Maier, Paul/0000-0003-0851-8827
FU Achievement Rewards for College Scientists Foundation; USGS Ecosystems
   Mission Area
FX This research was supported the Harold & June Memorial, Jordan D. Covin,
   and ARCS scholarships awarded to PAM, and the USGS Ecosystems Mission
   Area. The UC Merced Sierra Nevada Institute provided housing and
   accommodations for fieldwork. All animal handling was performed in
   accordance with SDSU animal care and use protocol #13-03-001B. All data
   and sample collection were only completed after obtaining and adhering
   to the regulations of NPS research permits. The UC Riverside High
   Performance Computer Cluster was used for bioinformatic analyses. We
   thank Dean H. Leavitt for comments that improved this manuscript. Any
   use of trade, firm, or product names is for descriptive purposes only
   and does not imply endorsement by the U.S. Government.
CR Abbott R, 2013, J EVOLUTION BIOL, V26, P229, DOI 10.1111/j.1420-9101.2012.02599.x
   Agresti A., 2002, Categorical Data Analysis, V2
   Anderson EC, 2002, GENETICS, V160, P1217
   Arnold ML, 2012, HEREDITY, V108, P159, DOI 10.1038/hdy.2011.65
   Arnold Michael L., 2009, Journal of Biology (London), V8, P82, DOI 10.1186/jbiol176
   Arnold ML, 2010, TRENDS ECOL EVOL, V25, P530, DOI 10.1016/j.tree.2010.06.005
   ARNOLD ML, 1995, TRENDS ECOL EVOL, V10, P67, DOI 10.1016/S0169-5347(00)88979-X
   Barrett RDH, 2008, SCIENCE, V322, P255, DOI 10.1126/science.1159978
   BARTON N, 1986, HEREDITY, V57, P357, DOI 10.1038/hdy.1986.135
   BARTON NH, 1985, ANNU REV ECOL SYST, V16, P113, DOI 10.1146/annurev.es.16.110185.000553
   Baxter SW, 2008, GENETICS, V180, P1567, DOI 10.1534/genetics.107.082982
   Bay R.A., 2017, Proceedings of the Royal Society of Biology, V284, P2229, DOI DOI 10.1111/J.1558-5646.2007.00179.X
   Beaumont MA, 2004, MOL ECOL, V13, P969, DOI 10.1111/j.1365-294X.2004.02125.x
   Beerli P, 2001, P NATL ACAD SCI USA, V98, P4563, DOI 10.1073/pnas.081068098
   Berg JJ, 2014, PLOS GENET, V10, DOI 10.1371/journal.pgen.1004412
   Blackburn GS, 2017, MOL ECOL, V26, P6666, DOI 10.1111/mec.14386
   Brady LD, 2000, J ZOOL, V252, P61
   Brawand D, 2011, NATURE, V478, P343, DOI 10.1038/nature10532
   Brown C., 2015, Yosemite toad conservation assessment
   Buerkle CA, 2011, MOL ECOL, V20, P1575, DOI 10.1111/j.1365-294X.2011.05046.x
   Castric V, 2008, PLOS GENET, V4, DOI 10.1371/journal.pgen.1000168
   Catchen J, 2013, MOL ECOL, V22, P3124, DOI 10.1111/mec.12354
   Catchen JM, 2011, G3-GENES GENOM GENET, V1, P171, DOI 10.1534/g3.111.000240
   Clarkson CS, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5248
   Conte GL, 2012, P ROY SOC B-BIOL SCI, V279, P5039, DOI 10.1098/rspb.2012.2146
   COYNE JA, 1989, EVOLUTION, V43, P362, DOI [10.2307/2409213, 10.1111/j.1558-5646.1989.tb04233.x]
   Coyne JA, 1997, EVOLUTION, V51, P295, DOI 10.1111/j.1558-5646.1997.tb02412.x
   COYNE JA, 1992, NATURE, V355, P511, DOI 10.1038/355511a0
   Cruickshank TE, 2014, MOL ECOL, V23, P3133, DOI 10.1111/mec.12796
   Cutter AD, 2015, MOL ECOL, V24, P1643, DOI 10.1111/mec.13163
   Cutter AD, 2012, TRENDS ECOL EVOL, V27, P209, DOI 10.1016/j.tree.2011.11.004
   Darwin C., 1859, The Origin of Species: by Means of Natural Selection or the Preservation of Favoured Races in the Struggle for Life
   Darwin C., 1871, DESCENT MAN SELECTIO
   Davey JW, 2011, NAT REV GENET, V12, P499, DOI 10.1038/nrg3012
   Dent R, 2012, PLOS ONE, V7, DOI [10.1371/journal.pone.0037135, 10.1371/journal.pone.0036889]
   Dobzhansky T., 1951, Genetics and the origin of species.
   Ellegren H, 2012, NATURE, V491, P756, DOI 10.1038/nature11584
   EXCOFFIER L, 1992, GENETICS, V131, P479
   Falush D, 2007, MOL ECOL NOTES, V7, P574, DOI 10.1111/j.1471-8286.2007.01758.x
   Feder JL, 2012, TRENDS GENET, V28, P342, DOI 10.1016/j.tig.2012.03.009
   Feder JL, 2012, PHILOS T R SOC B, V367, P461, DOI 10.1098/rstb.2011.0256
   Fitzpatrick BM, 2012, BMC EVOL BIOL, V12, DOI 10.1186/1471-2148-12-131
   Fraïsse C, 2014, GENETICS, V197, P939, DOI 10.1534/genetics.114.161380
   Gascuel O, 1997, MOL BIOL EVOL, V14, P685, DOI 10.1093/oxfordjournals.molbev.a025808
   Gaut BS, 2015, MOL BIOL EVOL, V32, P1661, DOI 10.1093/molbev/msv105
   Gomez-Mestre I, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0084266
   Gompert Z, 2012, MOL ECOL RESOUR, V12, P1168, DOI 10.1111/1755-0998.12009.x
   Gompert Z, 2012, EVOLUTION, V66, P2167, DOI 10.1111/j.1558-5646.2012.01587.x
   Gompert Z, 2011, MOL ECOL, V20, P2111, DOI 10.1111/j.1365-294X.2011.05074.x
   Gosner K. L., 1960, Herpetologica, V16, P183
   Grabherr MG, 2011, NAT BIOTECHNOL, V29, P644, DOI 10.1038/nbt.1883
   Grant PR, 2016, BIOL J LINN SOC, V117, P812, DOI 10.1111/bij.12702
   Grant PR, 2014, AM NAT, V183, P671, DOI 10.1086/675496
   Haas BJ, 2013, NAT PROTOC, V8, P1494, DOI 10.1038/nprot.2013.084
   Hamilton JA, 2016, CONSERV BIOL, V30, P33, DOI 10.1111/cobi.12574
   Hawks J., 2006, PALEOANTHROPOLOGY 20, P101
   Hedrick PW, 2013, MOL ECOL, V22, P4606, DOI 10.1111/mec.12415
   HEWITT GM, 1988, TRENDS ECOL EVOL, V3, P158, DOI 10.1016/0169-5347(88)90033-X
   Hoekstra HE, 2006, HEREDITY, V97, P222, DOI 10.1038/sj.hdy.6800861
   Hohenlohe PA, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1000862
   Hollar AR, 2011, GEN COMP ENDOCR, V173, P190, DOI 10.1016/j.ygcen.2011.05.013
   Janousek V, 2015, MOL BIOL EVOL, V32, P1208, DOI 10.1093/molbev/msv011
   Jiggins CD, 2008, PHILOS T R SOC B, V363, P3047, DOI 10.1098/rstb.2008.0065
   Jombart T, 2008, BIOINFORMATICS, V24, P1403, DOI 10.1093/bioinformatics/btn129
   Jones FC, 2012, NATURE, V484, P55, DOI 10.1038/nature10944
   Jones OR, 2010, MOL ECOL RESOUR, V10, P551, DOI 10.1111/j.1755-0998.2009.02787.x
   Joron M, 2006, PLOS BIOL, V4, P1831, DOI 10.1371/journal.pbio.0040303
   Keeler-Wolf T., 2012, Yosemite National Park vegetation classification and mapping project report. Natural Resource Technical Report NPS/YOSE/NRTR-2012/598
   Kim J, 2012, SCI REP-UK, V2, DOI 10.1038/srep00468
   KIMURA M, 1980, J MOL EVOL, V16, P111, DOI 10.1007/BF01731581
   Kirkpatrick M, 2006, GENETICS, V173, P419, DOI 10.1534/genetics.105.047985
   Kulkarni SS, 2011, J EVOLUTION BIOL, V24, P2445, DOI 10.1111/j.1420-9101.2011.02370.x
   Kulkarni SS, 2012, ENDOCRINOLOGY, V153, P5309, DOI 10.1210/en.2012-1432
   Leips J, 2000, ECOLOGY, V81, P2997, DOI 10.1890/0012-9658(2000)081[2997:ROTLTD]2.0.CO;2
   Lind MI, 2007, J EVOLUTION BIOL, V20, P1288, DOI 10.1111/j.1420-9101.2007.01353.x
   LOSOS JB, 1992, SYST BIOL, V41, P403, DOI 10.2307/2992583
   Maier PA, 2023, EVOL APPL, V16, P74, DOI 10.1111/eva.13511
   Maier PA, 2022, HEREDITY, V129, P257, DOI 10.1038/s41437-022-00561-x
   Maier PA, 2019, EVOLUTION, V73, P2476, DOI 10.1111/evo.13868
   Maier PA, 2022, FRONT CONSERV SCI, V3, DOI 10.3389/fcosc.2022.851676
   Malinsky M, 2015, SCIENCE, V350, P1493, DOI 10.1126/science.aac9927
   Mandeville EG, 2015, MOL ECOL, V24, P1856, DOI 10.1111/mec.13118
   Martin A, 2012, P NATL ACAD SCI USA, V109, P12632, DOI 10.1073/pnas.1204800109
   Martinsen GD, 2001, EVOLUTION, V55, P1325, DOI 10.1111/j.0014-3820.2001.tb00655.x
   Mayr E., 1942, P1
   McKenna A, 2010, GENOME RES, V20, P1297, DOI 10.1101/gr.107524.110
   McKinnon JS, 2004, NATURE, V429, P294, DOI 10.1038/nature02556
   McLaren W, 2016, GENOME BIOL, V17, DOI 10.1186/s13059-016-0974-4
   Morey SR, 2004, OIKOS, V104, P172, DOI 10.1111/j.0030-1299.2004.12623.x
   Nadeau NJ, 2014, GENOME RES, V24, P1316, DOI 10.1101/gr.169292.113
   Nei M., 1987, MOL EVOLUTIONARY GEN
   Noor MAF, 2009, HEREDITY, V103, P439, DOI 10.1038/hdy.2009.151
   Norris LC, 2015, P NATL ACAD SCI USA, V112, P815, DOI 10.1073/pnas.1418892112
   Nosil P, 2012, PHILOS T R SOC B, V367, P332, DOI 10.1098/rstb.2011.0263
   Nosil P, 2011, TRENDS ECOL EVOL, V26, P160, DOI 10.1016/j.tree.2011.01.001
   Nosil P, 2009, MOL ECOL, V18, P375, DOI 10.1111/j.1365-294X.2008.03946.x
   Orr HA, 2004, CURR OPIN GENET DEV, V14, P675, DOI 10.1016/j.gde.2004.08.009
   Orr HA, 2001, EVOLUTION, V55, P1085
   Paradis E, 2004, BIOINFORMATICS, V20, P289, DOI [10.1093/bioinformatics/btg412, 10.1093/bioinformatics/bty633]
   Paradis E, 2010, BIOINFORMATICS, V26, P419, DOI 10.1093/bioinformatics/btp696
   Pardo-Diaz C, 2012, PLOS GENET, V8, DOI 10.1371/journal.pgen.1002752
   Poelstra JW, 2014, SCIENCE, V344, P1410, DOI 10.1126/science.1253226
   Presgraves DC, 2008, TRENDS GENET, V24, P336, DOI 10.1016/j.tig.2008.04.007
   Presgraves DC, 2003, NATURE, V423, P715, DOI 10.1038/nature01679
   Quero G, 2018, PLANT GENOME-US, V11, DOI 10.3835/plantgenome2017.08.0076
   R Core Team, 2023, R LANG ENV STAT COMP
   Racimo F, 2015, NAT REV GENET, V16, P359, DOI 10.1038/nrg3936
   Reed RD, 2011, SCIENCE, V333, P1137, DOI 10.1126/science.1208227
   Reid SD, 2000, NATURE, V406, P64, DOI 10.1038/35017546
   Richter-Boix A, 2006, EVOL ECOL RES, V8, P1139
   Richter-Boix A, 2011, ECOL EVOL, V1, P15, DOI 10.1002/ece3.2
   Rieseberg LH, 2003, PHILOS T R SOC B, V358, P1141, DOI 10.1098/rstb.2003.1283
   Rieseberg LH, 1999, HEREDITY, V83, P363, DOI 10.1038/sj.hdy.6886170
   Rieseberg L, 2011, CURR BIOL, V21, pR581, DOI 10.1016/j.cub.2011.06.038
   Rockman MV, 2012, EVOLUTION, V66, P1, DOI 10.1111/j.1558-5646.2011.01486.x
   Roy SW, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0004500
   Rundle HD, 2005, ECOL LETT, V8, P336, DOI 10.1111/j.1461-0248.2004.00715.x
   Runemark A, 2018, NAT ECOL EVOL, V2, P549, DOI 10.1038/s41559-017-0437-7
   Samuk K, 2017, MOL ECOL, V26, P4378, DOI 10.1111/mec.14226
   Sánchez A, 2007, J STAT PLAN INFER, V137, P3975, DOI 10.1016/j.jspi.2007.04.015
   Schield DR, 2017, ECOL EVOL, V7, P3951, DOI 10.1002/ece3.2996
   Servedio MR, 2011, TRENDS ECOL EVOL, V26, P389, DOI 10.1016/j.tree.2011.04.005
   SLATKIN M, 1989, GENETICS, V123, P603
   SNYDER RJ, 1989, CAN J ZOOL, V67, P2448, DOI 10.1139/z89-345
   Song Y, 2011, CURR BIOL, V21, P1296, DOI 10.1016/j.cub.2011.06.043
   Soria-Carrasco V, 2014, SCIENCE, V344, P738, DOI 10.1126/science.1252136
   Stankowski S, 2015, P ROY SOC B-BIOL SCI, V282, P154, DOI 10.1098/rspb.2015.1666
   Stern DL, 2008, EVOLUTION, V62, P2155, DOI 10.1111/j.1558-5646.2008.00450.x
   Stern DL, 2013, NAT REV GENET, V14, P751, DOI 10.1038/nrg3483
   Stern DL, 2009, SCIENCE, V323, P746, DOI 10.1126/science.1158997
   Sukumaran J, 2010, BIOINFORMATICS, V26, P1569, DOI 10.1093/bioinformatics/btq228
   Swanson WJ, 2001, P NATL ACAD SCI USA, V98, P7375, DOI 10.1073/pnas.131568198
   Taylor SA, 2014, EVOLUTION, V68, P3066, DOI 10.1111/evo.12510
   Turelli M, 2000, GENETICS, V154, P1663
   TURELLI M, 1995, GENETICS, V140, P1319
   Turner TL, 2005, PLOS BIOL, V3, P1572, DOI 10.1371/journal.pbio.0030285
   U.S. Fish Wildlife Service, 2014, FED REGISTER, V79, P1
   Verster AJ, 2014, PLOS GENET, V10, DOI 10.1371/journal.pgen.1004077
   Via S, 2012, PHILOS T R SOC B, V367, P451, DOI 10.1098/rstb.2011.0260
   Vijay N, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms13195
   Weinreich DM, 2006, SCIENCE, V312, P111, DOI 10.1126/science.1123539
   Whitney KD, 2006, AM NAT, V167, P794, DOI 10.1086/504606
   Wolf JBW, 2017, NAT REV GENET, V18, P87, DOI 10.1038/nrg.2016.133
   Wu CI, 2004, NAT REV GENET, V5, P114, DOI 10.1038/nrg1269
   Wu CI, 2001, J EVOLUTION BIOL, V14, P851, DOI 10.1046/j.1420-9101.2001.00335.x
   Yeaman S, 2015, AM NAT, V186, pS74, DOI 10.1086/682405
   Yeaman S, 2013, MOL ECOL, V22, P3195, DOI 10.1111/mec.12314
NR 147
TC 1
Z9 1
U1 3
U2 7
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0962-1083
EI 1365-294X
J9 MOL ECOL
JI Mol. Ecol.
PD APR
PY 2024
VL 33
IS 8
DI 10.1111/mec.17317
EA MAR 2024
PG 23
WC Biochemistry & Molecular Biology; Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology; Environmental Sciences & Ecology;
   Evolutionary Biology
GA NC7I0
UT WOS:001185518600001
PM 38488670
OA hybrid
DA 2025-01-10
ER

PT J
AU Mikhailova, EA
   Lin, LL
   Hao, ZB
   Zurqani, HA
   Post, CJ
   Schlautman, MA
   Post, GC
   Shepherd, GB
   Kolarik, SJ
AF Mikhailova, Elena A.
   Lin, Lili
   Hao, Zhenbang
   Zurqani, Hamdi A.
   Post, Christopher J.
   Schlautman, Mark A.
   Post, Gregory C.
   Shepherd, George B.
   Kolarik, Sarah J.
TI Enhancing the Definitions of Climate-Change Loss and Damage Based on
   Land Conversion in Florida, USA
SO URBAN SCIENCE
LA English
DT Article
DE carbon; CO2; compensation; ecosystem; hurricane; insurance; moral
   hazard; risk; urban
AB Loss and damage (L & D) from climate change result from past and current greenhouse gas (GHG) emissions. Current definitions of L & D exclude GHG emissions even though they represent L & D to human beings and the environment. This study's objective was to identify and quantify the L & D from GHG emissions associated with land developments using the state of Florida (FL) in the United States of America (USA) as a case study. All land developments in FL caused various L & D (20,249.6 km(2), midpoint 3.0 x 10(11) of total soil carbon (TSC) losses with midpoint $50.3B (where B = billion = 10(9), USD) in social costs of carbon dioxide emissions, SC-CO2), while "new" land developments (1703.7 km(2)) in the period from 2001 to 2016 caused a complete loss of midpoint 2.8 x 10(10) kg of TSC resulting in midpoint $4.5B SC-CO2. These emissions are currently not accounted for in FL's total carbon footprint (CF). Climate-change-related damages in FL include permanent losses (e.g., land losses), with 47 out of 67 FL's counties potentially affected by the projected sea-level rise and repairable damages (e.g., destruction from hurricanes). Based on the fixed social cost of carbon (C), there appears to be a disconnect between the value attributed to soil-based emissions and the actual market-driven losses from climate-change-associated costs. The social cost of C could be scaled based on the vulnerability of a particular community and the market-based cost of L & D mitigation. Programs for compensation on the international level should be carefully designed to help people who have suffered climate-related L & D, without creating reverse climate change adaptation (RCCA), where compensation causes people to remain in areas that are vulnerable to climate-related L & D.
C1 [Mikhailova, Elena A.; Post, Christopher J.; Kolarik, Sarah J.] Clemson Univ, Dept Forestry & Environm Conservat, Clemson, SC 29634 USA.
   [Lin, Lili] Minnan Normal Univ, Dept Biol Sci & Biotechnol, Zhangzhou 363000, Peoples R China.
   [Hao, Zhenbang] Univ Key Lab Geomat Technol & Optimized Resources, Fuzhou 350002, Peoples R China.
   [Zurqani, Hamdi A.] Univ Arkansas Monticello, Univ Arkansas Agr Expt Stn, Arkansas Forest Resources Ctr, Monticello, AR 71655 USA.
   [Schlautman, Mark A.] Clemson Univ, Dept Environm Engn & Earth Sci, Anderson, SC 29625 USA.
   [Post, Gregory C.] Portland State Univ, Geog Dept, Portland, OR 97202 USA.
   [Shepherd, George B.] Emory Univ, Sch Law, Atlanta, GA 30322 USA.
C3 MinNan Normal University; University of Arkansas System; University
   Arkansas Monticello; Clemson University; Portland State University;
   Emory University
RP Mikhailova, EA (corresponding author), Clemson Univ, Dept Forestry & Environm Conservat, Clemson, SC 29634 USA.
EM eleanam@clemson.edu; lll2639@mnnu.edu.cn; zhenbanghao@fafu.edu.cn;
   cpost@clemson.edu; mschlau@clemson.edu; grpost@pdx.edu;
   gshep@law.emory.edu; skolari@g.clemson.edu
RI ; Zurqani, Hamdi A./G-5433-2016
OI hao, zhenbang/0000-0002-4094-7157; Mikhailova,
   Elena/0000-0003-1711-7910; Zurqani, Hamdi A./0000-0002-9250-4534;
   Schlautman, Mark/0000-0001-6522-4345; lin, lili/0000-0001-5098-8182
CR [Anonymous], STATE FLORIDA EXECUT
   [Anonymous], 2015, United Nations Paris Agreement
   [Anonymous], Climate.Gov
   [Anonymous], MULTIRESOLUTION LAND
   [Anonymous], 2008, Florida's energy climate change action plan
   [Anonymous], 2018, CLIMATE ANAL, P736
   [Anonymous], 1991, U.S. Bureau of the Census. Statistical Abstract of the United States: 1991, P201
   Bagenstose K., 2022, US TODAY 1105
   Baldrich R., 2021, ISIPEDIA
   Bhandari P., 2022, World Resources Institute
   Bouwer LM, 2019, CLIM RISK MANAGE POL, P63, DOI 10.1007/978-3-319-72026-5_3
   Boyd E, 2021, ONE EARTH, V4, P1365, DOI 10.1016/j.oneear.2021.09.015
   Broberg M, 2020, CLIM POLICY, V20, P661, DOI 10.1080/14693062.2020.1778885
   Bruggers James., 2023, Inside Climate News
   Burger Michael., 2020, COLUM J ENV L, V45, P57
   Clarke B, 2022, ENVIRON RES-CLIM, V1, DOI 10.1088/2752-5295/ac6e7d
   coast.noaa, SEA LEVEL RISE VIEWE
   Doelle M, 2020, CLIM POLICY, V20, P669, DOI 10.1080/14693062.2019.1630353
   EPA-United States Environmental Protection Agency, 2016, 430F16011 EPA US
   EPA-United States Environmental Protection Agency, 2016, EPA Fact Sheet
   ESRI (Environmental Systems Research Institute), ArcGIS Pro 2.6
   ESRI Hurricane Ian National Oceanic and Atmospheric Administration, IMAGERY VIEWER
   Grabar H., 2022, Slate
   Greta Thunberg Sues, 2022, SWEDEN CLIMATE INACT
   Groshans G.R., 2019, RESOURCES-BASEL, V8, DOI [10.3390/resources8030119, DOI 10.3390/resources8030119]
   Guo YY, 2006, SOIL SCI SOC AM J, V70, P590, DOI 10.2136/sssaj2005.0162
   Khan Mizan., 2015, LAWS-BASEL, V4, P638, DOI [DOI 10.3390/LAWS4030638, 10.3390/laws4030638]
   Lai M, 2022, CLIM POLICY, V22, P1213, DOI 10.1080/14693062.2022.2112017
   Martyr-Koller R, 2021, CURR OPIN ENV SUST, V50, P245, DOI 10.1016/j.cosust.2021.05.001
   Mechler R., 2019, CLIM RISK MANAGE POL, P3, DOI [10.1007/978-3-319-72026-5_1, DOI 10.1007/978-3-319-72026-5_1]
   Mikhailova EA, 2022, LAWS-BASEL, V11, DOI 10.3390/laws11030041
   Mikhailova EA, 2021, LAND-BASEL, V10, DOI 10.3390/land10030288
   Mikhailova EA, 2019, RESOURCES-BASEL, V8, DOI 10.3390/resources8040157
   Mikhailova EA, 2019, RESOURCES-BASEL, V8, DOI 10.3390/resources8030153
   Mower L., 2022, THE MIAMI HERALD
   Palekiene O, 2014, PROCD SOC BEHV, V156, P304, DOI 10.1016/j.sbspro.2014.11.193
   Reyes M., 2022, BLOOMBERG        SEP
   Roberts D., 2022, ATLANTIC
   Roberts JT, 2017, ETHICS POLICY ENV, V20, P208, DOI 10.1080/21550085.2017.1342963
   Schafer L, 2015, UNUEHS Working Paper, No. 20
   Sklar FH, 2021, FRONT ECOL EVOL, V9, DOI 10.3389/fevo.2021.646083
   Soil Science Society of America, USDA MYAKK FLOR STAT
   Soil Survey Staff Natural Resources Conservation Service United States Department of Agriculture, SOIL SURV GEOGR SSUR
   Soil Survey Staff Natural Resources Conservation Service United States Department of Agriculture, Photos of Soil Orders
   Sullivan B., NATL PUBLIC RADIO NP
   Supran G, 2023, SCIENCE, V379, P153, DOI 10.1126/science.abk0063
   The United States Census Bureau, 2018, TIGER/Line Boundary Shapefiles
   UNFCCC, 2022, Cop27 reaches breakthrough agreement on new "loss and damage"fund for vulnerable countries
   van den Homberg M, 2019, CLIM RISK MANAGE POL, P513, DOI 10.1007/978-3-319-72026-5_22
   van der Geest K, 2015, INT J GLOBAL WARM, V8, P133
   Vanhala L, 2016, GLOBAL ENVIRON POLIT, V16, P111, DOI 10.1162/GLEP_a_00379
   Verheyen R, 2008, ADAPTATION LEGAL DUT
   Zhai TT, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14074369
NR 53
TC 2
Z9 2
U1 2
U2 5
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2413-8851
J9 URBAN SCI
JI Urban Sci.
PD JUN
PY 2023
VL 7
IS 2
AR 40
DI 10.3390/urbansci7020040
PG 21
WC Environmental Sciences; Environmental Studies; Geography; Regional &
   Urban Planning; Urban Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology; Geography; Public Administration;
   Urban Studies
GA K3ST2
UT WOS:001015677800001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Tang, J
   Li, WJ
   Fang, JY
   Zhang, ZH
   Du, SQ
   Wu, YJ
   Wen, JH
AF Tang, Jin
   Li, Weijiang
   Fang, Jiayi
   Zhang, Zhonghao
   Du, Shiqiang
   Wu, Yanjuan
   Wen, Jiahong
TI Scenario-based economic and societal risk assessment of storm flooding
   in Shanghai
SO INTERNATIONAL JOURNAL OF CLIMATE CHANGE STRATEGIES AND MANAGEMENT
LA English
DT Article
DE Shanghai; Economic and societal risk; Scenario-based probabilistic risk
   model; Storm flooding
ID SEA-LEVEL RISE; LAND SUBSIDENCE; COASTAL CITIES; HUANGPU RIVER;
   FATALITIES; VULNERABILITY; INTENSITY; EXPOSURE; HAZARDS; LIFE
AB Purpose Quantitative and spatial-explicit flood risk information is of great importance for strengthening climate change adaptation and flood resilience. Shanghai is a coastal megacity at large estuary delta with rising flood risks. This study aims to quantify the overall economic-societal risks of storm flooding and their spatial patterns in Shanghai. Design/methodology/approach Based on multiple storm flood scenarios at different return periods, as well as fine-scale data sets including gridded GDP, gridded population and vector land-use, a probabilistic risk model incorporating geographic information system is used to assess the economic-societal risks of flooding and their spatial distributions. Findings Our results show that, from 1/200 to 1/5,000-year floods, the exposed assets will increase from USD 85.4bn to USD 657.6bn, and the direct economic losses will increase from USD 3.06bn to USD 52bn. The expected annual damage (EAD) of assets is around USD 84.36m. Hotpots of EAD are mainly distributed in the city center, the depressions along the upper Huangpu River in the southwest, the north coast of Hangzhou Bay, and the confluence of the Huangpu River and Yangtze River in the northeast. From 1/200 to 1/5,000-year floods, the exposed population will rise from 280 thousand to 2,420 thousand, and the estimated casualties will rise from 299 to 1,045. The expected annual casualties (EAC) are around 2.28. Hotspots of casualties are generally consistent with those of EAD. Originality/value In contrast to previous studies that focus on a single flood scenario or a particular type of flood exposure/risk in Shanghai, the findings contribute to an understanding of overall flood risks and their spatial patterns, which have significant implications for cost-benefit analysis of flood resilience strategies.
C1 [Tang, Jin; Li, Weijiang; Zhang, Zhonghao; Du, Shiqiang; Wen, Jiahong] Shanghai Normal Univ, Sch Environm & Geog Sci, Shanghai, Peoples R China.
   [Fang, Jiayi] East China Normal Univ, Sch Geog Sci, Shanghai, Peoples R China.
   [Wu, Yanjuan] Ningbo Univ, Dept Geog & Spatial Informat Tech, Ningbo, Peoples R China.
C3 Shanghai Normal University; East China Normal University; Ningbo
   University
RP Li, WJ (corresponding author), Shanghai Normal Univ, Sch Environm & Geog Sci, Shanghai, Peoples R China.
EM lwj@shnu.edu.cn
RI zhang, zhonghao/JDW-3279-2023; DU, Shiqiang/A-3939-2012; Fang,
   Jiayi/LKL-2195-2024
FU National Natural Science Foundation of China [41771540, 4187010049,
   42001014]; National Key Research and Development Program of China
   [2017YFC1503001]; Humanity and Social Science Youth Foundation of
   Ministry of Education of China [20YJCZH180]; Zhejiang Public Welfare
   Technology Research Project [LGF21D010003]; Basic Science and Technology
   Project of Ningbo [202002N3200]
FX This work was supported by the National Natural Science Foundation of
   China (Grants No. 41771540, 4187010049, 42001014), the National Key
   Research and Development Program of China (Grant No. 2017YFC1503001),
   the Humanity and Social Science Youth Foundation of Ministry of
   Education of China (Grant No. 20YJCZH180), the Zhejiang Public Welfare
   Technology Research Project (Grant No. LGF21D010003), the Basic Science
   and Technology Project of Ningbo (Grant No. 202002N3200), and the Ningbo
   Fan-3315 Plan.
CR Aerts JCJH, 2013, RISK ANAL, V33, P772, DOI 10.1111/risa.12008
   Arnell NW, 2016, CLIMATIC CHANGE, V134, P387, DOI 10.1007/s10584-014-1084-5
   Balica SF, 2012, NAT HAZARDS, V64, P73, DOI 10.1007/s11069-012-0234-1
   Barbier EB, 2015, ESTUAR COAST SHELF S, V165, pA1, DOI 10.1016/j.ecss.2015.05.035
   Bhatia K, 2018, J CLIMATE, V31, P8281, DOI 10.1175/JCLI-D-17-0898.1
   Boyd E., 2005, P US BANGL WORKSH IN
   Chan FKS, 2018, J CLEAN PROD, V187, P576, DOI 10.1016/j.jclepro.2018.03.217
   Cook A, 2009, J HYDROL, V377, P131, DOI 10.1016/j.jhydrol.2009.08.015
   Dasgupta S, 2009, CLIMATIC CHANGE, V93, P379, DOI 10.1007/s10584-008-9499-5
   de Bruijn KM, 2014, NAT HAZARD EARTH SYS, V14, P2767, DOI 10.5194/nhess-14-2767-2014
   Di Mauro M, 2012, NAT HAZARDS, V63, P1083, DOI 10.1007/s11069-012-0207-4
   Du SQ, 2020, GLOBAL ENVIRON CHANG, V61, DOI 10.1016/j.gloenvcha.2020.102037
   Du SQ, 2015, WATER-SUI, V7, P1808, DOI 10.3390/w7051808
   Dube SK, 2009, NAT HAZARDS, V51, P3, DOI 10.1007/s11069-009-9397-9
   Emanuel K, 2008, B AM METEOROL SOC, V89, P347, DOI 10.1175/BAMS-89-3-347
   Fang JY, 2020, SCI TOTAL ENVIRON, V704, DOI 10.1016/j.scitotenv.2019.135311
   [方佳毅 Fang Jiayi], 2019, [地理科学进展, Progress in Geography], V38, P625
   FitzGerald G, 2010, EMERG MED AUSTRALAS, V22, P180, DOI 10.1111/j.1742-6723.2010.01284.x
   Gaughan AE, 2016, SCI DATA, V3, DOI 10.1038/sdata.2016.5
   GETIS A, 1992, GEOGR ANAL, V24, P189, DOI 10.1111/j.1538-4632.1992.tb00261.x
   Grinsted A, 2021, OCEAN SCI, V17, P181, DOI 10.5194/os-17-181-2021
   Hallegatte S, 2013, NAT CLIM CHANGE, V3, P802, DOI [10.1038/nclimate1979, 10.1038/NCLIMATE1979]
   Hanson S, 2011, CLIMATIC CHANGE, V104, P89, DOI 10.1007/s10584-010-9977-4
   Hinkel J, 2018, NAT CLIM CHANGE, V8, P570, DOI 10.1038/s41558-018-0176-z
   [黄小莉 Huang Xiaoli], 2017, [地理研究, Geographical Research], V36, P1801
   Hunter JR, 2013, OCEAN ENG, V71, P17, DOI 10.1016/j.oceaneng.2012.12.041
   Irish JL, 2014, CLIMATIC CHANGE, V122, P635, DOI 10.1007/s10584-013-1011-1
   Jiang T., 2018, Advances in Climate Change Research, V14, P50
   Jongman B, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04396-1
   Jongman B, 2012, GLOBAL ENVIRON CHANG, V22, P823, DOI 10.1016/j.gloenvcha.2012.07.004
   Jonkman SN, 2008, ECOL ECON, V66, P77, DOI 10.1016/j.ecolecon.2007.12.022
   Jonkman SN, 2008, J FLOOD RISK MANAG, V1, P43, DOI 10.1111/j.1753-318X.2008.00006.x
   Kaplan B. J., 1981, Risk analysis, V1, P11, DOI 10.1111/j.1539-6924.1981.tb01350.x
   Ke Q., 2014, Flood risk analysis for metropolitan areas-a case study for shanghai
   Ke Q, 2018, J MAR SCI ENG, V6, DOI 10.3390/jmse6020070
   Knutson TR, 2010, NAT GEOSCI, V3, P157, DOI 10.1038/NGEO779
   Li WJ, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11010126
   Li WJ, 2016, NAT HAZARDS, V82, P193, DOI 10.1007/s11069-016-2187-2
   Lin N, 2016, P NATL ACAD SCI USA, V113, P12071, DOI 10.1073/pnas.1604386113
   Lin N, 2012, NAT CLIM CHANGE, V2, P462, DOI 10.1038/NCLIMATE1389
   Luu C., 2017, NATURAL HAZARDS EART, V115
   Maaskant B, 2009, ENVIRON SCI POLICY, V12, P157, DOI 10.1016/j.envsci.2008.11.004
   Marsooli R., 2020, CLIMATIC CHANGE NO, P19
   Merkens JL, 2016, GLOBAL PLANET CHANGE, V145, P57, DOI 10.1016/j.gloplacha.2016.08.009
   Merz B, 2010, NAT HAZARD EARTH SYS, V10, P1697, DOI 10.5194/nhess-10-1697-2010
   Nicholls R.J., 2008, OECD ENV WORKING PAP, DOI [DOI 10.1787/011766488208, 10.1787/011766488208]
   Paul BK, 2016, NAT HAZARDS, V83, P1703, DOI 10.1007/s11069-016-2384-z
   Peduzzi P, 2012, NAT CLIM CHANGE, V2, P289, DOI 10.1038/NCLIMATE1410
   Peduzzi P, 2009, NAT HAZARD EARTH SYS, V9, P1149, DOI 10.5194/nhess-9-1149-2009
   Promchote P, 2016, J CLIMATE, V29, P367, DOI 10.1175/JCLI-D-15-0310.1
   Qiang Y, 2019, J ENVIRON MANAGE, V232, P295, DOI 10.1016/j.jenvman.2018.11.039
   Rahmstorf S, 2017, P NATL ACAD SCI USA, V114, P11806, DOI 10.1073/pnas.1715895114
   Rasmussen DJ, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaac87
   Seto KC, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023777
   Shan XM, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11113202
   Sharif HO, 2015, NAT HAZARDS REV, V16, DOI 10.1061/(ASCE)NH.1527-6996.0000145
   Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1
   Talia M, 2021, INT J PUBLIC THEOL, V15, P595, DOI 10.1163/15697320-01
   Tauzer E, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0224171
   Wang J, 2018, SCI TOTAL ENVIRON, V621, P228, DOI 10.1016/j.scitotenv.2017.11.224
   Wang J, 2012, CLIMATIC CHANGE, V115, P537, DOI 10.1007/s10584-012-0468-7
   Ward PJ, 2011, NAT HAZARD EARTH SYS, V11, P3181, DOI 10.5194/nhess-11-3181-2011
   Ward PJ, 2014, P NATL ACAD SCI USA, V111, P15659, DOI 10.1073/pnas.1409822111
   Webster PJ, 2005, SCIENCE, V309, P1844, DOI 10.1126/science.1116448
   White I, 2018, J FLOOD RISK MANAG, V11, pS468, DOI 10.1111/jfr3.12239
   Winsemius HC, 2013, HYDROL EARTH SYST SC, V17, P1871, DOI 10.5194/hess-17-1871-2013
   Wu JD, 2018, RISK ANAL, V38, P17, DOI 10.1111/risa.12806
   Wu SH, 2017, STOCH ENV RES RISK A, V31, P2573, DOI 10.1007/s00477-016-1327-2
   [王璐阳 Wang Luyang], 2019, [水科学进展, Advances in Water Science], V30, P546
   Yin J, 2020, EARTHS FUTURE, V8, DOI 10.1029/2020EF001614
   Yin J, 2013, CLIMATIC CHANGE, V119, P919, DOI 10.1007/s10584-013-0749-9
   Yin J, 2013, NAT HAZARDS, V66, P577, DOI 10.1007/s11069-012-0501-1
   [殷杰 Yin Jie], 2012, [地理科学, Scientia Geographica Sinica], V32, P1155
   Yuan Z., 1999, Flood and Drought Disasters in Shanghai
NR 74
TC 7
Z9 7
U1 6
U2 62
PU EMERALD GROUP PUBLISHING LTD
PI Leeds
PA Floor 5, Northspring 21-23 Wellington Street, Leeds, W YORKSHIRE,
   ENGLAND
SN 1756-8692
EI 1756-8706
J9 INT J CLIM CHANG STR
JI Int. J. Clim. Chang. Strateg. Manag.
PD DEC 8
PY 2021
VL 13
IS 4-5
BP 529
EP 546
DI 10.1108/IJCCSM-06-2021-0058
EA SEP 2021
PG 18
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA XK8OD
UT WOS:000692141200001
OA gold
DA 2025-01-10
ER

PT J
AU Sein, ZMM
   Zhi, XF
   Ogou, FK
   Nooni, IK
   Sian, KTCLK
   Gnitou, GT
AF Sein, Zin Mie Mie
   Zhi, Xiefei
   Ogou, Faustin Katchele
   Nooni, Isaac Kwesi
   Sian, Kenny T. C. Lim Kam
   Gnitou, Gnim Tchalim
TI Spatio-Temporal Analysis of Drought Variability in Myanmar Based on the
   Standardized Precipitation Evapotranspiration Index (SPEI) and Its
   Impact on Crop Production
SO AGRONOMY-BASEL
LA English
DT Article
DE SPEI; crop production; precipitation; temperature; correlation; linear
   regression; Mann-Kendall's
ID CENTRAL DRY ZONE; NORTH CHINA; WATER-RESOURCES; SEVERITY INDEX;
   CLIMATE-CHANGE; EXTREME HEAT; YIELD; TEMPERATURE; MAIZE; AGRICULTURE
AB Drought research is an important aspect of drought disaster mitigation and adaptation. For this purpose, we used the Standardized Precipitation Evapotranspiration Index (SPEI) to investigate the spatial-temporal pattern of drought and its impact on crop production. Using monthly precipitation (Precip) and temperature (Temp) data from 1986-2015 for 39 weather stations, the drought index was obtained for the time scale of 3, 6, and 12 months. The Mann-Kendall test was used to determine trends and rates of change. Precip and Temp anomalies were investigated using the regression analysis and compared with the drought index. The link between drought with large-scale atmospheric circulation anomalies using the Pearson correlation coefficient (R) was explored. Results showed a non-uniform spatial pattern of dryness and wetness which varied across Myanmar agro-ecological zones and under different time scales. Generally, results showed an increasing trend for the SPEI in the three-time scales, signifying a high tendency of decreased drought from 1986-2015. The fluctuations in dryness/wetness might linked to reduction crop production between 1986-1999 and 2005, 2008, 2010, 2013 cropping years. Results show relationship between main crops production and climate (teleconnection) factors. However, the low correlation values (i.e., <0.49) indicate the extent of the relationship within the natural variability. However, readers are urged to interpret this result cautiously as reductions in crop production may also be affected by other factors. We have demonstrated droughts evolution and trends using weather stations, thus providing useful information to aid policymakers in developing spatially relevant climate change adaptation and mitigation management plans for Myanmar.
C1 [Sein, Zin Mie Mie; Nooni, Isaac Kwesi; Sian, Kenny T. C. Lim Kam; Gnitou, Gnim Tchalim] Nanjing Univ Informat Sci & Technol, Binjiang Coll, Wuxi 214105, Jiangsu, Peoples R China.
   [Sein, Zin Mie Mie; Nooni, Isaac Kwesi; Sian, Kenny T. C. Lim Kam; Gnitou, Gnim Tchalim] Nanjing Univ Informat Sci & Technol, Wuxi Inst Technol, Wuxi 214105, Jiangsu, Peoples R China.
   [Zhi, Xiefei] Weather Online Inst Meteorol Applicat, Wuxi 214000, Jiangsu, Peoples R China.
   [Zhi, Xiefei; Sian, Kenny T. C. Lim Kam] Nanjing Univ Informat Sci & Technol, Minist Educ KLME, Key Lab Meteorol Disasters, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing 210044, Peoples R China.
   [Ogou, Faustin Katchele] Univ Abomey Calavi, Dept Phys, Lab Atmospher Phys, 01 BP 526, Cotonou, Benin.
   [Ogou, Faustin Katchele] Univ Chinese Acad Sci, Coll Earth Sci, Beijing 100864, Peoples R China.
C3 Wuxi University; Wuxi Institute of Technology; Nanjing University of
   Information Science & Technology; University of Abomey Calavi; Chinese
   Academy of Sciences; University of Chinese Academy of Sciences, CAS
RP Zhi, XF (corresponding author), Weather Online Inst Meteorol Applicat, Wuxi 214000, Jiangsu, Peoples R China.; Zhi, XF (corresponding author), Nanjing Univ Informat Sci & Technol, Minist Educ KLME, Key Lab Meteorol Disasters, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing 210044, Peoples R China.
EM dr.zin28@gmail.com; zhi@nuist.edu.cn; ogofaustin@gmail.com;
   nooni25593@alumni.itc.nl; kennlks@gmail.com; patrickgnitou@yahoo.fr
RI GNITOU, GNIM/GQQ-2473-2022; Lim Kam Sian, Kenny/AAW-8241-2021; Nooni
   (Ph.D), Isaac Kwesi/H-9267-2016; OGOU, Faustin Katchele/AAY-5501-2021;
   Zhi, Xiefei/AGU-6880-2022
OI , Gnitou Tchalim Gnim/0000-0001-5268-4529; Nooni (Ph.D), Isaac
   Kwesi/0000-0001-6636-9554; OGOU, Faustin Katchele/0000-0002-0342-7929;
   Zhi, Xiefei/0000-0003-4414-0497; Lim Kam Sian, Kenny Thiam
   Choy/0000-0002-8328-8745
FU National Major Scientific Research Program (973) "Mechanism and
   Prediction of Interannual-Decadal Climate Variability in the East Asian
   Monsoon Region" [2012CB955200]; National Natural Science Foundation of
   China (NSFC) [41575104]
FX This study was supported by the National Major Scientific Research
   Program (973) "Mechanism and Prediction of Interannual-Decadal Climate
   Variability in the East Asian Monsoon Region" (2012CB955200) and
   National Natural Science Foundation of China (NSFC), "Study on
   Probabilistic Weather Prediction in 10-15d Extension Period Based on
   Different Multi-mode Integration Schemes" (41575104).
CR Alley R., 2007, Climate Change 2007, P21
   ALLEY WM, 1984, J CLIM APPL METEOROL, V23, P1100, DOI 10.1175/1520-0450(1984)023<1100:TPDSIL>2.0.CO;2
   [Anonymous], 2016, STAT FOOD AGR 2016
   [Anonymous], R LANGUAGE ENV STAT
   Asseng S, 2011, GLOBAL CHANGE BIOL, V17, P997, DOI 10.1111/j.1365-2486.2010.02262.x
   Bärring L, 2006, CLIMATE RES, V31, P35, DOI 10.3354/cr031035
   Dai A, 2004, J HYDROMETEOROL, V5, P1117, DOI 10.1175/JHM-386.1
   Dai AG, 2013, NAT CLIM CHANGE, V3, P52, DOI [10.1038/NCLIMATE1633, 10.1038/nclimate1633]
   Dai AG, 2011, J GEOPHYS RES-ATMOS, V116, DOI 10.1029/2010JD015541
   Department of Meteorology and Hydrology Ministry of Transpor, 2012, MOT NEUR DIS PALL CA, P1
   Dutta R., 2018, Sustainable Agriculture Research, V7, P46, DOI 10.5539/sar.v7n2p46
   ESRI Home, ARCGIS DESKT REL RED
   Fahad S, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01147
   FAO, 2018, FAOSTAT UN MYANMAR
   FAOSTAT, 2021, FAO STAT DAT BAS WOR
   Fontaine B, 2011, ATMOS SCI LETT, V12, P83, DOI 10.1002/asl.321
   Gebreegziabher Z., 2013, CROP LIVESTOCK INTER, DOI [10.1007/978-3-030-37425-9_31, DOI 10.1007/978-3-030-37425-9_31]
   Geng GP, 2016, INT J CLIMATOL, V36, P389, DOI 10.1002/joc.4356
   GIEWS/FAO, 2016, FAO WFP CROP FOOD SE
   Goldblum D, 2009, PHYS GEOGR, V30, P27, DOI 10.2747/0272-3646.30.1.27
   Hao ZC, 2015, J HYDROL, V527, P668, DOI 10.1016/j.jhydrol.2015.05.031
   Hawkins E, 2013, GLOBAL CHANGE BIOL, V19, P937, DOI 10.1111/gcb.12069
   Heim RR, 2002, B AM METEOROL SOC, V83, P1149, DOI 10.1175/1520-0477-83.8.1149
   Herridge DF, 2019, AGR SYST, V169, P31, DOI 10.1016/j.agsy.2018.12.001
   Hina S, 2021, GEOMAT NAT HAZ RISK, V12, P1638, DOI 10.1080/19475705.2021.1938703
   Hunt ED, 2014, AGR FOREST METEOROL, V191, P1, DOI 10.1016/j.agrformet.2014.02.001
   IPCC, 2015, Climate Change 2014: Synthesis Report. Contribution of Working Groups I
   Jia YQ, 2018, CHINESE GEOGR SCI, V28, P680, DOI 10.1007/s11769-018-0973-3
   Kambombe O, 2021, THEOR APPL CLIMATOL, V144, P1219, DOI 10.1007/s00704-021-03586-0
   Karim MR, 2015, WEATHER CLIM EXTREME, V7, P24, DOI 10.1016/j.wace.2014.10.004
   Knox J, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/3/034032
   Kranz W., 2008, IRRIGATION MANAGEMEN, DOI DOI 10.4236/AS.2014.513139
   Li SS, 2020, INT J CLIMATOL, V40, P3550, DOI 10.1002/joc.6413
   Li WeiGuang Li WeiGuang, 2012, Zhongguo Shengtai Nongye Xuebao / Chinese Journal of Eco-Agriculture, V20, P643, DOI 10.3724/SP.J.1011.2012.00643
   Li XZ, 2021, SCI TOTAL ENVIRON, V786, DOI 10.1016/j.scitotenv.2021.147575
   Sian KTCLK, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12060742
   Liu CH, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-020-80527-3
   Liu XF, 2018, J HYDROL, V564, P984, DOI 10.1016/j.jhydrol.2018.07.077
   Liu Y, 2014, REG ENVIRON CHANGE, V14, P49, DOI 10.1007/s10113-013-0455-1
   Lobell DB, 2012, NAT CLIM CHANGE, V2, P186, DOI [10.1038/NCLIMATE1356, 10.1038/nclimate1356]
   Lobell DB, 2011, SCIENCE, V333, P616, DOI [10.1126/science.1206376, 10.1126/science.1204531]
   Ma B, 2020, ATMOS RES, V246, DOI 10.1016/j.atmosres.2020.105108
   Madadgar S, 2017, GEOPHYS RES LETT, V44, P7799, DOI 10.1002/2017GL073606
   Mangani R, 2018, CROP PASTURE SCI, V69, P703, DOI 10.1071/CP18117
   Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187
   Manzano A, 2019, ATMOS RES, V230, DOI 10.1016/j.atmosres.2019.104630
   Marchant R, 2018, EARTH-SCI REV, V178, P322, DOI 10.1016/j.earscirev.2017.12.010
   Matsuda M, 2013, HUM ECOL, V41, P927, DOI 10.1007/s10745-013-9604-x
   McKee T.B., P 8 C APPL CLIM AN C, P174
   Mechiche-Alami A, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-59943-y
   Sein ZMM, 2021, WATER-SUI, V13, DOI 10.3390/w13050729
   Sein ZMM, 2021, CLIMATE, V9, DOI 10.3390/cli9020035
   Mishra AK, 2010, J HYDROL, V391, P204, DOI 10.1016/j.jhydrol.2010.07.012
   Nooni IK, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13030533
   Nooni IK, 2019, WATER-SUI, V11, DOI 10.3390/w11071400
   Ogou FK, 2017, ATMOS OCEAN SCI LETT, V10, P418, DOI 10.1080/16742834.2017.1392825
   Oo SP, 2020, AGRICULTURE-BASEL, V10, DOI 10.3390/agriculture10010026
   Palmer WC, 1965, Research Paper No. 45), DOI DOI 10.2172/5171425
   Pascoa P, 2017, Int J Biometeorol, V61, P439, DOI 10.1007/s00484-016-1224-x
   Piao SL, 2010, NATURE, V467, P43, DOI 10.1038/nature09364
   Qaisrani Zahid Naeem, 2021, Arabian Journal of Geosciences, V14, DOI 10.1007/s12517-020-06302-w
   Quiring SM, 2003, AGR FOREST METEOROL, V118, P49, DOI 10.1016/S0168-1923(03)00072-8
   Ray DK, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms6989
   Royce FS, 2011, AGR FOREST METEOROL, V151, P817, DOI 10.1016/j.agrformet.2011.01.017
   Sakurai G, 2011, CLIM RES, V49, P143, DOI 10.3354/cr01027
   Schlenker W, 2009, P NATL ACAD SCI USA, V106, P15594, DOI 10.1073/pnas.0906865106
   Sein ZMM, 2016, ARAB J GEOSCI, V9, DOI 10.1007/s12517-016-2502-y
   Semenov MA, 2011, SCI REP-UK, V1, DOI 10.1038/srep00066
   Sheffield J, 2012, NATURE, V491, P435, DOI 10.1038/nature11575
   Tefera AS, 2019, SN APPL SCI, V1, DOI 10.1007/s42452-019-1326-2
   Tetzlaff D, 2005, HYDROL EARTH SYST SC, V9, P29, DOI 10.5194/hess-9-29-2005
   Thornthwaite CW, 1948, GEOGR REV, V38, P55, DOI 10.2307/210739
   Trenberth K.E., 2020, PALEOCEANOGR PALEOCL, P21
   Oo AT, 2020, CLIMATE, V8, DOI 10.3390/cli8010009
   Ullah W, 2021, ATMOS RES, V253, DOI 10.1016/j.atmosres.2021.105489
   Ullah W, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11060628
   UNDP, 2018, ENH CAP CLIM RISK MA
   van Dijk AIJM, 2013, WATER RESOUR RES, V49, P1040, DOI 10.1002/wrcr.20123
   Vicente-Serrano SM, 2012, EARTH INTERACT, V16, DOI 10.1175/2012EI000434.1
   Vicente-Serrano SM, 2010, J CLIMATE, V23, P1696, DOI 10.1175/2009JCLI2909.1
   WALSH JE, 1980, MON WEATHER REV, V108, P615, DOI 10.1175/1520-0493(1980)108<0615:AQAOMA>2.0.CO;2
   Wang QF, 2021, EARTH SYST SCI DATA, V13, P331, DOI 10.5194/essd-13-331-2021
   Wang QF, 2015, INT J CLIMATOL, V35, P3760, DOI 10.1002/joc.4244
   Wang QF, 2014, QUATERN INT, V349, P10, DOI 10.1016/j.quaint.2014.06.021
   Wang WJ, 2021, THEOR APPL CLIMATOL, V143, P87, DOI 10.1007/s00704-020-03394-y
   Wilhite D. A., 1985, Water International, V10, P111, DOI 10.1080/02508068508686328
   Wilhite DA, 2007, WATER RESOUR MANAG, V21, P763, DOI 10.1007/s11269-006-9076-5
   WMO (World Meteorological Organisation), 2011, GUID CLIM PRACT WEAT
   Wu MJ, 2020, INT J CLIMATOL, V40, P4781, DOI 10.1002/joc.6489
   Wu ZH, 2007, P NATL ACAD SCI USA, V104, P14889, DOI 10.1073/pnas.0701020104
   Yi T., 2014, DROUGHT CONDITIONS M
   Yihdego Y, 2019, ARAB J GEOSCI, V12, DOI 10.1007/s12517-019-4237-z
   Zhang R, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12051713
   Zhang YQ, 2011, AGR WATER MANAGE, V98, P1207, DOI 10.1016/j.agwat.2011.03.006
NR 94
TC 21
Z9 22
U1 2
U2 35
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4395
J9 AGRONOMY-BASEL
JI Agronomy-Basel
PD SEP
PY 2021
VL 11
IS 9
AR 1691
DI 10.3390/agronomy11091691
PG 28
WC Agronomy; Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Plant Sciences
GA UV7JQ
UT WOS:000699650100001
OA gold
DA 2025-01-10
ER

PT J
AU Coppock, DL
   Pandey, N
   Tulachan, S
   Duwal, D
   Dhungana, M
   Dulal, BP
   Davis, D
AF Coppock, D. Layne
   Pandey, Nirmala
   Tulachan, Sanoj
   Duwal, Divakar
   Dhungana, Meghana
   Dulal, Bishnu Prasad
   Davis, Dale
TI Non-formal education promotes innovation and climate change preparedness
   among isolated Nepalese farmers
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE Participatory research; human capacity building; community-based
   research; climate change adaptation; poverty mitigation
ID ADAPTATION
AB Farming systems of western Nepal are home to isolated, poverty-stricken people who must cope with weak agricultural extension services and negative effects of climate change. Our research objective was to identify, implement, and assess a suite of interventions promoting climate change preparedness and poverty reduction for two traditional farming communities in Bajura District. Participatory processes were first used to identify priority problems and solutions. Residents then received an intervention package implemented over 16 months that was targeted for problem solving and founded on non-formal education (NFE) training modules. Following the intervention period, a random sample of households gave their trend perceptions for 24 socioeconomic and agroecosystem attributes, and findings were compared with those from adjacent control communities lacking interventions in a quasi-experimental approach. Results indicated that community-based participation was an effective diagnostic research tool that allowed priority problems to be ranked and linked to either climate change or other factors of under-development. This sharpened our focus for the intervention phase. The intervention package had positive effects (P <= .047) on 23 of 24 attributes with particularly notable impacts on altering previous attitudes and beliefs, improving skill sets, boosting cash incomes, and supporting a more diversified mix of agricultural enterprises largely based on existing technologies. Improved goat production and marketing, however, was the main driver for socioeconomic change. In sum, improved risk management, widespread adoption of a planning mentality, and expansion of community-based collaborations were keys to success. We estimated that the intervention package was generally inexpensive, costing from US$ 1.48 to 4.75 per beneficiary. We concluded that use of participatory processes and NFE-based interventions can achieve impact quickly here. These are important means to build human capacity and community resilience, especially in places where implementation of novel, climate-smart agricultural technologies is difficult.
C1 [Coppock, D. Layne] Utah State Univ, Dept Environm & Soc, Logan, UT 84332 USA.
   [Pandey, Nirmala; Tulachan, Sanoj; Duwal, Divakar; Dhungana, Meghana; Dulal, Bishnu Prasad; Davis, Dale] Helen Keller Int HKI Nepal, Lalitpur, Nepal.
   [Tulachan, Sanoj] WaterAid Nepal, Kathmandu, Nepal.
   [Duwal, Divakar] Nepal Rural Village Water Resource Management Pro, Kathmandu, Nepal.
   [Dulal, Bishnu Prasad] HERD Int, Kathmandu, Nepal.
C3 Utah System of Higher Education; Utah State University
RP Coppock, DL (corresponding author), Utah State Univ, Dept Environm & Soc, Logan, UT 84332 USA.
EM layne.coppock@usu.edu
FU Feed the Future Innovation Lab for Collaborative Research on Adapting
   Livestock Systems; USU; Bureau for Economic Growth, Agriculture, and
   Trade; U.S. Agency for International Development (USAID)
   [EEM-A-00-10-00001]
FX The authors participated in a project led by Utah State University (USU)
   called 'Improving Resilience in Mixed Farming Systems to Pending Climate
   Change in Far Western Nepal', funded from 2012 to 2015 under the
   auspices of the Feed the Future Innovation Lab for Collaborative
   Research on Adapting Livestock Systems to Climate Change managed by
   Colorado State University. We thank the four communities in Bajura
   District for participating and appreciate involvements of Nepalese
   officials. The HKI support staff, including enumerators, members of PRA
   teams, and data-processing technicians, are acknowledged for their help.
   S. Durham and R. Pfister assisted with statistics. Project principal
   investigator R. Gillies is thanked for his support. D. Bailey, S.
   Durham, R. Klemm, and B. Norton are thanked for pre-submission reviews.
   This publication was made possible from support provided by USU and the
   Bureau for Economic Growth, Agriculture, and Trade, U.S. Agency for
   International Development (USAID), under terms of Grant No.
   EEM-A-00-10-00001. Opinions expressed herein are those of the authors
   and may not reflect views of USAID or the U.S. government.
CR Anderson A., 2012, Journal of Education for Sustainable Development, V6, P191, DOI [10.1177/0973408212475199, DOI 10.1177/0973408212475199]
   Anonymous, 2014, BASELINE SURVEY REPO
   Anonymous, 2014, CSPRO VERSION 6 0
   Anonymous, 2013, PARTICIPATORY RURAL
   [Anonymous], 2012, STAT HORIZONS
   [Anonymous], 2013, SPSS STAT WIND VERS
   Anonymous, 2012, NATL POPULATION HOUS
   [Anonymous], 2017, SAS/STAT 14.3 User's Guide: The CAUSALMED Procedure
   Anonymous.s, 2015, ENDLINE SURVEY REPOR
   Bangay C, 2010, INT J EDUC DEV, V30, P359, DOI 10.1016/j.ijedudev.2009.11.011
   Barua A, 2014, REG ENVIRON CHANGE, V14, P267, DOI 10.1007/s10113-013-0471-1
   Birner R, 2009, J AGRIC EDUC EXT, V15, P341, DOI 10.1080/13892240903309595
   CHAMBERS R, 1994, WORLD DEV, V22, P953, DOI 10.1016/0305-750X(94)90141-4
   Chaudhary D., 2019, J POL SCI, V19, P43, DOI DOI 10.3126/JPS.V19I0.26698
   Chhetri N, 2012, APPL GEOGR, V33, P142, DOI 10.1016/j.apgeog.2011.10.006
   Coppock DL, 2011, SCIENCE, V334, P1394, DOI 10.1126/science.1211232
   Deressa T. T., 2009, Global Environmental Change, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   EDWARDS D, 1987, BIOMETRICS, V43, P913, DOI 10.2307/2531545
   Fernandez G, 2016, DISAST RISK REDUCT, P215, DOI 10.1007/978-4-431-55078-5_14
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Khan AS, 2012, INT J SUST DEV WORLD, V19, P330, DOI 10.1080/13504509.2011.650230
   Latchem C., 2014, Journal of Learning for Development, V1
   Lee TM, 2015, NAT CLIM CHANGE, V5, P1014, DOI 10.1038/NCLIMATE2728
   Lilleso, 2005, FOREST LANDSCAPE ENV
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   Millar J, 2010, AGR HUM VALUES, V27, P213, DOI 10.1007/s10460-009-9194-9
   Morton JF, 2007, P NATL ACAD SCI USA, V104, P19680, DOI 10.1073/pnas.0701855104
   Pandey R, 2015, APPL GEOGR, V64, P74, DOI 10.1016/j.apgeog.2015.09.008
   PLATT JR, 1964, SCIENCE, V146, P347, DOI 10.1126/science.146.3642.347
   Pouliotte J, 2009, CLIM DEV, V1, P31, DOI 10.3763/cdev.2009.0001
   Randolph TF, 2007, J ANIM SCI, V85, P2788, DOI 10.2527/jas.2007-0467
   Rogers Alan., 2005, NONFORMAL ED FLEXIBL
   Sanchez P, 2007, P NATL ACAD SCI USA, V104, P16775, DOI 10.1073/pnas.0700423104
   SPSS, 2011, Release 13.0 Version for Windows.
   Tripathi A, 2017, CLIM RISK MANAG, V16, P195, DOI 10.1016/j.crm.2016.11.002
   Vogel I., 2012, Review of the use of Theory of Change in International Development: Review report
   Wang SY, 2013, J CLIMATE, V26, P8241, DOI 10.1175/JCLI-D-12-00800.1
   Wang SY, 2013, CLIM DYNAM, V40, P95, DOI 10.1007/s00382-012-1376-2
   Zawacki-Richter O, 2009, INT REV RES OPEN DIS, V10, P21, DOI 10.19173/irrodl.v10i6.741
NR 39
TC 2
Z9 3
U1 2
U2 10
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD APR 21
PY 2022
VL 14
IS 4
BP 297
EP 310
DI 10.1080/17565529.2021.1921685
EA MAY 2021
PG 14
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA 2A7BO
UT WOS:000655600800001
DA 2025-01-10
ER

PT J
AU Naujokaitis-Lewis, I
   Endicott, S
   Guezen, J
AF Naujokaitis-Lewis, Ilona
   Endicott, Sarah
   Guezen, Jessica
TI Treatment of climate change in extinction risk assessments and recovery
   plans for threatened species
SO CONSERVATION SCIENCE AND PRACTICE
LA English
DT Article
DE biodiversity; climate change; climate change adaptation; conservation;
   endangered species; extinction risk assessment; recovery planning;
   species extinction; threatened species; threats
ID BIODIVERSITY CONSERVATION; VULNERABILITY; ADAPTATION; STRATEGIES;
   RESPONSES; IMPACTS; LEXICON; TRENDS; NEED
AB The ongoing threat of climate change poses an increasing risk to biodiversity, especially for currently threatened species. Climate change can both directly impact species and interact with other pre-existing threats, such as habitat loss, to further amplify species' risk of extinction. Recognizing the threat of climate change in extinction risk assessments and recovery planning for imperilled species is essential for tailoring and prioritizing recovery actions for climate-threatened species. Using species legally listed in Canada we show that 44.1% of species' risk assessments identify the threat of climate change, nonetheless, 43.5% of assessments completely omit climate change. Species assessed more recently were more likely to be identified as climate-threatened, however, the strength of this relationship varied across taxonomic groups. The likelihood that climate change was identified as a threat was also strongly affected by the use of a standardized threat assessment process. Of the climate-threatened species, less than half (46.0%) of species' recovery plans specified actions aimed explicitly at minimizing climate impacts and only 3.8% of recovery plans recommended habitat or population management actions. Climate-targeted recovery actions were more likely to be included in more recent plans, and were marginally more likely for species where climate change was considered a major threat. Our findings highlight the urgent need for consistent and standardized assessments of the threat of climate change, including the consideration of potential synergies between climate change and other existing threats. Performing species-specific climate change vulnerability assessments may serve to complement existing assessment and recovery planning processes. We provide additional recommendations aimed at threatened species recovery planners for improving the integration of the threat of climate change into species extinction risk assessments and recovery planning processes for listed species.
C1 [Naujokaitis-Lewis, Ilona; Endicott, Sarah] Environm & Climate Change Canada, Natl Wildlife Res Ctr, 1125 Colonel Dr, Ottawa, ON K1A 0H3, Canada.
   [Guezen, Jessica] Univ Guelph, Sch Environm Sci, Guelph, ON, Canada.
C3 Environment & Climate Change Canada; Canadian Wildlife Service; National
   Wildlife Research Centre - Canada; University of Guelph
RP Naujokaitis-Lewis, I (corresponding author), Environm & Climate Change Canada, Natl Wildlife Res Ctr, 1125 Colonel Dr, Ottawa, ON K1A 0H3, Canada.
EM ilona.naujokaitis-lewis@canada.ca
RI Guezen, Jessica/AAJ-6948-2021
OI Guezen, Jessica/0000-0001-5841-6699; Endicott,
   Sarah/0000-0001-9644-5343; Naujokaitis-Lewis, Ilona/0000-0001-9504-4484
CR Akçakaya HR, 2014, NAT CLIM CHANGE, V4, P1048, DOI 10.1038/nclimate2455
   [Anonymous], 2011, SPEC RISK ACT REC ST
   Bellard C, 2012, ECOL LETT, V15, P365, DOI 10.1111/j.1461-0248.2011.01736.x
   Bland LM, 2017, CONSERV BIOL, V31, P531, DOI 10.1111/cobi.12850
   Brito-Morales I, 2018, TRENDS ECOL EVOL, V33, P441, DOI 10.1016/j.tree.2018.03.009
   Brook BW, 2008, TRENDS ECOL EVOL, V23, P453, DOI 10.1016/j.tree.2008.03.011
   Buxton RT, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18486-6
   Cahill AE, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2012.1890
   Chapman S, 2014, DIVERS DISTRIB, V20, P1221, DOI 10.1111/ddi.12234
   Chen IC, 2011, SCIENCE, V333, P1024, DOI 10.1126/science.1206432
   Committee on the Status of Endangered Wildlife in Canada, 2012, GUID COMPL THREATS C, V1
   COSEWIC, 2019, INSTR PREP COSEWIC S
   D'Aloia CC, 2019, FRONT ECOL EVOL, V7, DOI 10.3389/fevo.2019.00027
   Delach A, 2019, NAT CLIM CHANGE, V9, P999, DOI 10.1038/s41558-019-0620-8
   Dorey K, 2018, BIOL CONSERV, V217, P259, DOI 10.1016/j.biocon.2017.11.018
   Environment and Climate Change Canada, 2017, SPEC RISK ACT REC ST
   Environment and Climate Change Canada, 2018, SPEC RISK ACT MAN PL
   Environment and Climate Change Canada, 2015, SPECIES RISK ACT MAN
   Environment Canada, 2015, SPEC RISK ACT REC ST
   Environment Canada, 2013, Species at Risk Act Management Plan Series
   Environnement Canada, 2012, Species at Risk Act Recovery Strategy Series
   Fischlin A, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P211
   Fisheries and Oceans Canada , 2017, SPEC RISK ACT REC ST
   Fisichelli NA, 2016, ENVIRON MANAGE, V57, P753, DOI 10.1007/s00267-015-0650-6
   Foden WB, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.551
   Foden WB, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0065427
   Garnett ST, 2019, CONSERV BIOL, V33, P456, DOI 10.1111/cobi.13220
   Gilbert SL, 2020, CONSERV BIOL, V34, P289, DOI 10.1111/cobi.13401
   Harris RMB, 2018, NAT CLIM CHANGE, V8, P579, DOI 10.1038/s41558-018-0187-9
   Hayward MW, 2009, CONSERV BIOL, V23, P1568, DOI 10.1111/j.1523-1739.2009.01260.x
   Hoeppner JM, 2019, CONSERV BIOL, V33, P534, DOI 10.1111/cobi.13270
   Kearney SG, 2019, PAC CONSERV BIOL, V25, P328, DOI [10.1071/PC18024, 10.1071/PC18024_CO]
   Keith DA, 2014, CONSERV BIOL, V28, P810, DOI 10.1111/cobi.12234
   Lawler JJ, 2002, ECOL APPL, V12, P663, DOI 10.1890/1051-0761(2002)012[0663:TSATOT]2.0.CO;2
   LeDee OE, 2021, J WILDLIFE MANAGE, V85, P7, DOI 10.1002/jwmg.21969
   Lepitzki DAW, 2010, RECOVERY STRATEGY AC
   Leu M, 2019, CONSERV SCI PRACT, V1, DOI 10.1111/csp2.78
   Leung, 2016, RESULTS CONCLUSIONS, P1
   Lindenmayer DB, 2013, FRONT ECOL ENVIRON, V11, P549, DOI 10.1890/120220
   Mace GM, 2008, CONSERV BIOL, V22, P1424, DOI 10.1111/j.1523-1739.2008.01044.x
   Malcom JW, 2018, CONSERV LETT, V11, DOI 10.1111/conl.12601
   Mantyka-Pringle CS, 2012, GLOBAL CHANGE BIOL, V18, P1239, DOI 10.1111/j.1365-2486.2011.02593.x
   Mawdsley JR, 2009, CONSERV BIOL, V23, P1080, DOI 10.1111/j.1523-1739.2009.01264.x
   Mcclure MM, 2013, CONSERV BIOL, V27, P1222, DOI 10.1111/cobi.12166
   McCune JL, 2013, BIOL CONSERV, V166, P254, DOI 10.1016/j.biocon.2013.07.006
   Morelli TL, 2020, FRONT ECOL ENVIRON, V18, P228, DOI 10.1002/fee.2189
   Mothes CC, 2020, CONSERV BIOL, V34, P754, DOI 10.1111/cobi.13421
   Murray KA, 2014, GLOBAL CHANGE BIOL, V20, P483, DOI 10.1111/gcb.12366
   Naujokaitis-Lewis I, 2018, J APPL ECOL, V55, P2843, DOI 10.1111/1365-2664.13241
   Oliver TH, 2016, BIOL CONSERV, V193, P17, DOI 10.1016/j.biocon.2015.10.024
   Pacifici M, 2015, NAT CLIM CHANGE, V5, P215, DOI 10.1038/NCLIMATE2448
   Parks Canada Agency, 2012, SPEC RISK ACT REC ST
   Pearson RG, 2014, NAT CLIM CHANGE, V4, P217, DOI [10.1038/NCLIMATE2113, 10.1038/nclimate2113]
   Pecl GT, 2017, SCIENCE, V355, DOI 10.1126/science.aai9214
   Pournelle G. H., 1953, Journal of Mammalogy, V34, P133
   Prober SM, 2019, ECOL MONOGR, V89, DOI 10.1002/ecm.1333
   Prugh LR, 2010, CONSERV LETT, V3, P267, DOI 10.1111/j.1755-263X.2010.00111.x
   Salafsky N, 2008, CONSERV BIOL, V22, P897, DOI 10.1111/j.1523-1739.2008.00937.x
   Scheffers BR, 2016, SCIENCE, V354, DOI 10.1126/science.aaf7671
   Schielzeth H, 2010, METHODS ECOL EVOL, V1, P103, DOI 10.1111/j.2041-210X.2010.00012.x
   Stanton JC, 2015, GLOBAL CHANGE BIOL, V21, P1066, DOI 10.1111/gcb.12721
   Stein BA, 2013, FRONT ECOL ENVIRON, V11, P502, DOI 10.1890/120277
   Stewart BA, 2018, BIODIVERS CONSERV, V27, P147, DOI 10.1007/s10531-017-1426-5
   Stralberg D, 2019, AVIAN CONSERV ECOL, V14, DOI 10.5751/ACE-01363-140113
   Thackeray SJ, 2016, NATURE, V535, P241, DOI 10.1038/nature18608
   Thomas CD, 2004, NATURE, V427, P145, DOI 10.1038/nature02121
   Thomas CD, 2011, METHODS ECOL EVOL, V2, P125, DOI 10.1111/j.2041-210X.2010.00065.x
   Thompson LM, 2021, FISHERIES, V46, P8, DOI 10.1002/fsh.10506
   Trull N, 2018, CONSERV BIOL, V32, P135, DOI 10.1111/cobi.13022
   Urban MC, 2016, SCIENCE, V353, P1113, DOI 10.1126/science.aad8466
   Urban MC, 2015, SCIENCE, V348, P571, DOI 10.1126/science.aaa4984
   Walther GR, 2002, NATURE, V416, P389, DOI 10.1038/416389a
   Woo-Durand C, 2020, ENVIRON REV, V28, P449, DOI 10.1139/er-2020-0032
NR 73
TC 8
Z9 9
U1 11
U2 73
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
EI 2578-4854
J9 CONSERV SCI PRACT
JI Conserv. Sci. Pract.
PD AUG
PY 2021
VL 3
IS 8
AR e450
DI 10.1111/csp2.450
EA MAY 2021
PG 15
WC Biodiversity Conservation
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation
GA TT0WJ
UT WOS:000649809500001
DA 2025-01-10
ER

PT J
AU MacKenzie, WH
   Mahony, CR
AF MacKenzie, William H.
   Mahony, Colin R.
TI An ecological approach to climate change-informed tree species selection
   for reforestation
SO FOREST ECOLOGY AND MANAGEMENT
LA English
DT Article
DE Translational ecology; Biogeoclimatic ecosystem classification; Random
   forests; Bioclimate envelope modelling; Assisted migration; Climate
   change adaptation
ID BIOGEOCLIMATIC ECOSYSTEM CLASSIFICATION; ASSISTED MIGRATION; FOREST
   MANAGEMENT; BRITISH-COLUMBIA; SUITABLE HABITAT; RANGE SHIFTS; IMPACTS;
   PRODUCTIVITY; MORTALITY; FACE
AB Accounting for climate change in reforestation practices has the potential to be one of the most efficacious adaptation strategies for maintaining future forest ecosystem services. There is a rich literature projecting spatial shifts in climatic suitability for tree species and strong scientific evidence for the necessity of assisted migration. However, there has been limited translation of this research into operational reforestation, due in part to mismatches to the information needs of practitioners. Here, we describe a practitioner-focused climate change informed tree species selection (CCISS) model to support reforestation decisions in British Columbia (BC). CCISS projects the climate change redistribution of bioclimate units from the multi-scaled Biogeoclimatic Ecosystem Classification (BEC) system with machine-learning for 90 modelled futures. It leverages the reforestation knowledge from BEC to make site-specific species projections of reforestation feasibility with climate change uncertainty metrics. We present 21st-century feasibility projections for a comprehensive set of tree species native to western North America. Some general trends are evident: augmentation of the number of feasible species in sub-boreal regions due to the rapid expansion of feasibility for temperate species; attrition at low elevations in southern BC due to declines in the feasibility of native species with little compensation by non-native species; and turnover at mid-elevations as declining feasibility for subalpine species is compensated by uphill expansion of climatic feasibility for submontane species. Edaphic (soil) factors are important; feasibility declines are higher on relatively dry sites than on wetter sites for most species. Our analysis emphasizes that changes in feasibility are species-specific, spatially variable, and influenced by edaphic site factors. By employing the multi-scaled BEC system that currently informs operational reforestation, CCISS facilitates translation of research into actionable guidance for practitioners.
C1 [MacKenzie, William H.] BC Minist Forests Lands Nat Resource Operat & Rur, 3333 Tatlow Rd, Smithers, BC V0J 2N0, Canada.
   [Mahony, Colin R.] BC Minist Forests Lands Nat Resource Operat & Rur, POB 9513 Stn Prov Govt, Victoria, BC V8W 9C2, Canada.
RP MacKenzie, WH (corresponding author), BC Minist Forests Lands Nat Resource Operat & Rur, 3333 Tatlow Rd, Smithers, BC V0J 2N0, Canada.
EM Will.MacKenzie@gov.bc.ca
OI MacKenzie, WillIam H/0000-0002-9975-1001
FU federal government though the Low Carbon Economy Leadership Fund,
   Government of Canada, Canada; Forest Carbon Initiative, Province of
   British Columbia Canada; Office of the Chief Forester, Province of
   British Columbia Canada
FX This research was funded in partnership with the federal government
   though the Low Carbon Economy Leadership Fund, Government of Canada,
   Canada, the Forest Carbon Initiative, Province of British Columbia
   Canada, and the Office of the Chief Forester, Province of British
   Columbia Canada, with managerial support from Dennis Paradine. Pam
   Dykstra has championed application and development of this research into
   management and policy. Allen Banner, Ray Coupe, Del Meidinger, Tom
   Braumandl, Heather Klassen, Sari Saunders, Hardy Griesbauer, and Bruce
   Rogers assisted with regional species feasibility assessments. Kiri
   Daust assisted with analytical code. We thank Greg O'Neill, Pam Dykstra,
   and Bryce Bancroft for their comments on development of the method and
   drafts of this manuscript. Finally, we acknowledge the World Climate
   Research Program's Working Group on Coupled Modelling, which is
   responsible for CMIP, and we thank the climate modelling groups for
   producing and making available their model output.
CR Agne MC, 2018, FOREST ECOL MANAG, V409, P317, DOI 10.1016/j.foreco.2017.11.004
   Aitken SN, 2008, EVOL APPL, V1, P95, DOI 10.1111/j.1752-4571.2007.00013.x
   Aitken SN, 2016, EVOL APPL, V9, P271, DOI 10.1111/eva.12293
   Allen CD, 2010, FOREST ECOL MANAG, V259, P660, DOI 10.1016/j.foreco.2009.09.001
   Araújo MB, 2012, ECOLOGY, V93, P1527, DOI 10.1890/11-1930.1
   B.C. Ministry of Forests, 2000, EST FREE GROW GUID K
   Babst F, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aat4313
   Beck PSA, 2011, ECOL LETT, V14, P373, DOI 10.1111/j.1461-0248.2011.01598.x
   Bernier PY, 2016, FORESTS, V7, DOI 10.3390/f7080157
   Bertrand R, 2012, GLOBAL CHANGE BIOL, V18, P2648, DOI 10.1111/j.1365-2486.2012.02679.x
   Bolte A, 2010, MANAG FOR ECOSYST, V19, P115, DOI 10.1007/978-90-481-3301-7_8
   Botkin DB, 2007, BIOSCIENCE, V57, P227, DOI 10.1641/B570306
   Boyd, 2018, ENCY ECOLOGY, P361
   Breiman L., 2001, Machine Learning, V45, P5, DOI 10.1023/A:1010933404324
   Callaham M., 2020, SOILS LANDSCAPE REST, P416
   Chapin III, CAN J FOR RES, V40, P1360
   Charney ND, 2016, ECOL LETT, V19, P1119, DOI 10.1111/ele.12650
   Chawla NV, 2002, J ARTIF INTELL RES, V16, P321, DOI 10.1613/jair.953
   Chmura DJ, 2011, FOREST ECOL MANAG, V261, P1121, DOI 10.1016/j.foreco.2010.12.040
   Coops NC, 2011, CLIMATIC CHANGE, V105, P313, DOI 10.1007/s10584-010-9861-2
   Coops NC, 2010, CAN J FOREST RES, V40, P511, DOI 10.1139/X09-201
   Corns I. G. W., 1996, FIELD GUIDE ECOSITES, V8
   Daly C, 2002, CLIM RES, V22, P99, DOI 10.3354/cr022099
   Daly C, 2008, INT J CLIMATOL, V28, P2031, DOI 10.1002/joc.1688
   Daniels LD, 2011, CAN J PLANT PATHOL, V33, P108, DOI 10.1080/07060661.2011.563906
   Davis MB, 2001, SCIENCE, V292, P673, DOI 10.1126/science.292.5517.673
   [Downing D.J. Natural Regions Committee Natural Regions Committee], 2006, NATURAL REGIONS SUBR, P254
   Ebata T., 2018, 2018 SUMMARY FOREST
   Enquist CAF, 2017, FRONT ECOL ENVIRON, V15, P541, DOI 10.1002/fee.1733
   Goberville E, 2015, ECOL EVOL, V5, P1100, DOI 10.1002/ece3.1411
   Gonzales LM, 2009, QUATERNARY SCI REV, V28, P3315, DOI 10.1016/j.quascirev.2009.09.005
   Gray LK, 2013, CLIMATIC CHANGE, V117, P289, DOI 10.1007/s10584-012-0548-8
   Grossiord C, 2020, NEW PHYTOL, V228, P42, DOI 10.1111/nph.15667
   Guisan A, 2006, J APPL ECOL, V43, P386, DOI 10.1111/j.1365-2664.2006.01164.x
   Haeussler S, 2011, ENVIRON REV, V19, P254, DOI [10.1139/A11-008, 10.1139/a11-008]
   Hamann A, 2006, ECOLOGY, V87, P2773, DOI 10.1890/0012-9658(2006)87[2773:PEOCCO]2.0.CO;2
   Hashida Y, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0230525
   Havens K, 2015, NAT AREA J, V35, P122, DOI 10.3375/043.035.0116
   Heineman JL, 2010, CAN J FOREST RES, V40, P1109, DOI 10.1139/X10-055
   Hember RA, 2017, GLOBAL CHANGE BIOL, V23, P1691, DOI 10.1111/gcb.13428
   Hooper DU, 2005, ECOL MONOGR, V75, P3, DOI 10.1890/04-0922
   HUNTLEY B, 1991, ANN BOT-LONDON, V67, P15, DOI 10.1093/oxfordjournals.aob.a088205
   Iverson LR, 2004, GLOBAL ECOL BIOGEOGR, V13, P209, DOI 10.1111/j.1466-822X.2004.00093.x
   Klassen HA, 2015, APPL VEG SCI, V18, P343, DOI 10.1111/avsc.12143
   KLINKA K, 1984, FOREST CHRON, V60, P77, DOI 10.5558/tfc60077-2
   Klinka K., 2000, The Distribution and Synopsis of Ecological and Silvical Characteristics of Tree Species of British Columbiafs Forests, DOI 10.14288/1.0107280
   Knutti R, 2013, GEOPHYS RES LETT, V40, P1194, DOI 10.1002/grl.50256
   Koralewski TE, 2015, FOREST ECOL MANAG, V344, P30, DOI 10.1016/j.foreco.2015.02.014
   Lazarus ED, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0105380
   Ledig FT, 2012, AM J BOT, V99, P1217, DOI 10.3732/ajb.1200059
   Lepage P., 2011, ASSESSMENT OFF SITE
   MacKenzie WH, 2018, PHYTOCOENOLOGIA, V48, P203, DOI 10.1127/phyto/2017/0160
   Mahony CR, 2018, FOREST ECOL MANAG, V410, P35, DOI 10.1016/j.foreco.2017.12.036
   Mathys AS, 2018, ECOL MODEL, V384, P145, DOI 10.1016/j.ecolmodel.2018.06.008
   Mathys A, 2014, FOREST ECOL MANAG, V313, P144, DOI 10.1016/j.foreco.2013.11.005
   Mathys AS, 2017, GLOBAL CHANGE BIOL, V23, P920, DOI 10.1111/gcb.13440
   Mbogga MS, 2010, J APPL ECOL, V47, P731, DOI 10.1111/j.1365-2664.2010.01830.x
   Mckenney DW, 2007, BIOSCIENCE, V57, P939, DOI 10.1641/B571106
   McKenney DW, 2011, GLOBAL CHANGE BIOL, V17, P2720, DOI 10.1111/j.1365-2486.2011.02413.x
   McLachlan JS, 2007, CONSERV BIOL, V21, P297, DOI 10.1111/j.1523-1739.2007.00676.x
   Michaelian M, 2011, GLOBAL CHANGE BIOL, V17, P2084, DOI 10.1111/j.1365-2486.2010.02357.x
   Minasny B, 2006, COMPUT GEOSCI-UK, V32, P1378, DOI 10.1016/j.cageo.2005.12.009
   Morin X, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-23763-y
   Morin X, 2014, ECOL LETT, V17, P1526, DOI 10.1111/ele.12357
   Mueller JM, 2008, CONSERV BIOL, V22, P562, DOI 10.1111/j.1523-1739.2008.00952.x
   Nelson HW, 2016, FOREST ECOL MANAG, V360, P388, DOI 10.1016/j.foreco.2015.09.038
   Nock, 2020, CANADIAN J FOREST RE
   Park A, 2014, CRIT REV PLANT SCI, V33, P251, DOI 10.1080/07352689.2014.858956
   Pearson RG, 2003, GLOBAL ECOL BIOGEOGR, V12, P361, DOI 10.1046/j.1466-822X.2003.00042.x
   Pedlar JH, 2017, SCI REP-UK, V7, DOI 10.1038/srep43881
   Petit RJ, 2008, SCIENCE, V320, P1450, DOI 10.1126/science.1155457
   Pickles BJ, 2015, NEW PHYTOL, V207, P858, DOI 10.1111/nph.13360
   POJAR J, 1987, FOREST ECOL MANAG, V22, P119, DOI 10.1016/0378-1127(87)90100-9
   [PRISM Climate Group Pacific Climate Impacts Consortium], 2014, HIGH RES CLIM
   Province of British Columbia, 2018, BIOG EC CLASS BEC ZO
   Radke N, 2017, ANN FOREST SCI, V74, DOI 10.1007/s13595-017-0641-2
   Rehfeldt GE, 2014, FOREST ECOL MANAG, V324, P147, DOI 10.1016/j.foreco.2014.02.040
   Rehfeldt GE, 2010, MITIG ADAPT STRAT GL, V15, P283, DOI 10.1007/s11027-010-9217-2
   Renwick KM, 2015, GLOBAL ECOL BIOGEOGR, V24, P44, DOI 10.1111/geb.12240
   Roberts DR, 2012, GLOBAL ECOL BIOGEOGR, V21, P121, DOI 10.1111/j.1466-8238.2011.00657.x
   Rogelj J, 2016, NATURE, V534, P631, DOI 10.1038/nature18307
   Schlesinger WH, 2010, SCIENCE, V329, P609, DOI 10.1126/science.1195624
   Schneider RR, 2009, CAN J FOREST RES, V39, P1001, DOI 10.1139/X09-033
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P95, DOI 10.1007/s10584-011-0152-3
   Vyse A, 2013, FOREST CHRON, V89, P382, DOI 10.5558/tfc2013-068
   WALTERS CJ, 1990, ECOLOGY, V71, P2060, DOI 10.2307/1938620
   Wang TH, 2016, PLOS ONE, V11, DOI [10.1371/journal.pone.0163147, 10.1371/journal.pone.0159028]
   Wang TL, 2012, FOREST ECOL MANAG, V279, P128, DOI 10.1016/j.foreco.2012.05.034
   Weed AS, 2013, ECOL MONOGR, V83, P441, DOI 10.1890/13-0160.1
   Williams MI, 2013, J FOREST, V111, P287, DOI 10.5849/jof.13-016
   Winder R, 2011, FOREST CHRON, V87, P731, DOI 10.5558/tfc2011-090
   Wogan GOU, 2018, ECOGRAPHY, V41, P1456, DOI 10.1111/ecog.03235
   Woods A, 2005, BIOSCIENCE, V55, P761, DOI 10.1641/0006-3568(2005)055[0761:IAUDNB]2.0.CO;2
   Woods AJ, 2010, FOREST CHRON, V86, P412, DOI 10.5558/tfc86412-4
   WOODWARD FI, 1987, VEGETATIO, V69, P189, DOI 10.1007/BF00038700
   Wright MN, 2017, J STAT SOFTW, V77, P1, DOI 10.18637/jss.v077.i01
   Ying CC, 2006, FOREST ECOL MANAG, V227, P1, DOI 10.1016/j.foreco.2006.02.028
   Zhu K, 2012, GLOBAL CHANGE BIOL, V18, P1042, DOI 10.1111/j.1365-2486.2011.02571.x
NR 99
TC 31
Z9 31
U1 4
U2 56
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0378-1127
EI 1872-7042
J9 FOREST ECOL MANAG
JI For. Ecol. Manage.
PD FEB 1
PY 2021
VL 481
AR 118705
DI 10.1016/j.foreco.2020.118705
PG 17
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA PR4CY
UT WOS:000607186400002
DA 2025-01-10
ER

PT J
AU Nevins, MT
   D'Amato, AW
   Foster, JR
AF Nevins, Matthias T.
   D'Amato, Anthony W.
   Foster, Jane R.
TI Future forest composition under a changing climate and adaptive forest
   management in southeastern Vermont, USA
SO FOREST ECOLOGY AND MANAGEMENT
LA English
DT Article
DE Forest management; Climate change adaptation; LANDIS-II; Aboveground
   biomass; Forest composition; Northeast USA
ID NORTHEASTERN NORTH-AMERICA; LANDSCAPE SIMULATION-MODEL; SUGAR MAPLE
   HEALTH; LAND-USE; UNITED-STATES; DYNAMICS; BIOMASS; ADAPTATION;
   DISTURBANCE; GROWTH
AB Global change represents the greatest challenge facing forest managers today. The uncertainty and variability of potential future impacts of shifting climatic and disturbance regimes has led resource managers to seek out alternative approaches to sustain the long-term delivery of forest ecosystem services. We use a spatially explicit forest landscape simulation model, LANDIS-II, to examine and evaluate a range of long-term effects of current and adaptive forest management under three projected climate scenarios within a forested landscape in southeastern Vermont, USA. We found that land-use legacies and the inertia associated with long-term forest successional trajectories are likely to be the dominant driver of future forest composition and biomass conditions for the next 100 years. Nevertheless, climate is projected to have a greater influence on species composition and aboveground biomass over the next 200 years. Eastern hemlock (Tsuga canadensis) and red spruce (Picea rubens) are likely to experience reductions in aboveground biomass and a compression of relative dominance on the landscape. American beech (Fagus grandifolia) and sugar maple (Acer saccharum) are projected to persist within the landscape and are likely to continue to occupy a prominent compositional position in the forests of this region. Extreme climate warming under RCP 8.5 projections resulted in compositional shifts and reductions in landscape-scale aboveground biomass (120.09 +/- 4.51 Mg.ha(-1)) at the end of the 200 year simulation when compared to RCP 4.5 (150.55 +/- 1.04 Mg.ha(-1)) and current climate projections (147.90 +/- 0.79 Mg.ha(-1)). These findings highlight the expected lag effects of a changing climate, which present significant challenges and opportunities as managers seek to sustain critical ecosystem services in the region.
C1 [Nevins, Matthias T.; D'Amato, Anthony W.; Foster, Jane R.] Univ Vermont, Aiken Ctr, Rubenstein Sch Environm & Nat Resources, 81 Carrigan Dr, Burlington, VT 05405 USA.
C3 University of Vermont
RP Nevins, MT (corresponding author), 91 Goose Pond Rd, Hanover, NH 03755 USA.
EM matthias.nevins@uvm.edu
RI D'Amato, Anthony/AAV-3245-2021
OI Nevins, Matthias/0000-0002-3782-4949; Foster, Jane/0000-0002-5997-0269
FU Woodstock Foundation; Department of Interior Northeast Climate
   Adaptation Science Center, National Science Foundation [1920908]; USDA
   NIFA McIntire-Stennis Cooperative Forestry Program; University of
   Vermont's Rubenstein School of Environment and Natural Resources
FX This work was supported through funding from the Woodstock Foundation,
   the Department of Interior Northeast Climate Adaptation Science Center,
   National Science Foundation award #1920908, the USDA NIFA
   McIntire-Stennis Cooperative Forestry Program, and the University of
   Vermont's Rubenstein School of Environment and Natural Resources.
CR Aber JD, 1995, CLIM RES, V5, P207, DOI 10.3354/cr005207
   Bormann F. H, 1979, Pattern and Process in a Forested Ecosystem
   Bose AK, 2017, J APPL ECOL, V54, P1592, DOI 10.1111/1365-2664.12917
   Burns R. M. H., 1990, TECHNICAL COORDINATO
   Butler BJ, 2016, J FOREST, V114, P638, DOI 10.5849/jof.15-099
   Canham CD, 2013, ECOL APPL, V23, P515, DOI 10.1890/12-0180.1
   Clark JS, 2016, GLOBAL CHANGE BIOL, V22, P2329, DOI 10.1111/gcb.13160
   D'Amato AW, 2017, ECOLOGY, V98, P721, DOI 10.1002/ecy.1684
   D'Amato AW, 2013, ECOL APPL, V23, P1735, DOI 10.1890/13-0677.1
   D'Amato AW, 2011, FOREST ECOL MANAG, V262, P803, DOI 10.1016/j.foreco.2011.05.014
   Dale VH, 2001, BIOSCIENCE, V51, P723, DOI 10.1641/0006-3568(2001)051[0723:CCAFD]2.0.CO;2
   Daly C, 2008, INT J CLIMATOL, V28, P2031, DOI 10.1002/joc.1688
   Ducey MJ, 2013, FORESTS, V4, P1055, DOI 10.3390/f4041055
   Dukes JS, 2009, CAN J FOREST RES, V39, P231, DOI 10.1139/X08-171
   Duveneck MJ, 2019, GLOBAL ENVIRON CHANG, V55, P115, DOI 10.1016/j.gloenvcha.2019.01.009
   Duveneck MJ, 2017, LANDSCAPE ECOL, V32, P1385, DOI 10.1007/s10980-016-0415-5
   Duveneck MJ, 2016, LANDSCAPE ECOL, V31, P669, DOI 10.1007/s10980-015-0273-6
   Duveneck MJ, 2015, ECOL APPL, V25, P1653, DOI 10.1890/14-0738.1
   Duveneck MJ, 2014, CAN J FOREST RES, V44, P700, DOI 10.1139/cjfr-2013-0391
   Flower CE, 2015, ANNU REV PLANT BIOL, V66, P547, DOI 10.1146/annurev-arplant-043014-115540
   Foster D.R., 2010, WILDLAND WOODLANDS F
   Foster DR, 1998, ECOSYSTEMS, V1, P96, DOI 10.1007/s100219900008
   Foster J.R., 2011, THESIS
   Foster JR, 2015, GLOBAL CHANGE BIOL, V21, P4497, DOI 10.1111/gcb.13046
   Gustafson EJ, 2000, CAN J FOREST RES, V30, P32, DOI 10.1139/cjfr-30-1-32
   Gustafson EJ, 2020, FOREST ECOL MANAG, V470, DOI 10.1016/j.foreco.2020.118208
   Gustafson EJ, 2017, ECOSPHERE, V8, DOI 10.1002/ecs2.1773
   Halpin CR, 2016, ECOL MONOGR, V86, P78, DOI 10.1890/15-0392.1
   Hanson MA, 2012, SCIENCE, V335, P851, DOI [10.1126/science.1244693, 10.1126/science.1215904]
   Hayhoe K, 2008, MITIG ADAPT STRAT GL, V13, P425, DOI 10.1007/s11027-007-9133-2
   Horsley SB, 2008, CAN J FOREST RES, V38, P1761, DOI 10.1139/X08-023
   Iverson L, 2008, MITIG ADAPT STRAT GL, V13, P487, DOI 10.1007/s11027-007-9129-y
   Iverson L, 2014, LANDSCAPE ECOL, V29, P181, DOI 10.1007/s10980-014-9993-2
   Iverson LR, 2017, LANDSCAPE ECOL, V32, P1327, DOI 10.1007/s10980-016-0404-8
   Iverson LR, 2013, LANDSCAPE ECOL, V28, P879, DOI 10.1007/s10980-013-9885-x
   Janowiak M.K. D. A., 2018, NEW ENGLAND NO NEW Y
   Janowiak MK, 2014, J FOREST, V112, P424, DOI 10.5849/jof.13-094
   Keeton WS, 2011, FOREST SCI, V57, P489
   Kittredge DB, 2017, ECOSPHERE, V8, DOI 10.1002/ecs2.1882
   Kittredge DB, 2003, FOREST ECOL MANAG, V180, P425, DOI 10.1016/S0378-1127(02)00561-3
   Kosiba AM, 2018, SCI TOTAL ENVIRON, V637, P1480, DOI 10.1016/j.scitotenv.2018.05.010
   Liang Y, 2018, GLOBAL CHANGE BIOL, V24, pE335, DOI 10.1111/gcb.13847
   Ma W, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaeaa3
   McCune B., 2011, PC ORD MULTIVARIATE
   McDonald RI, 2006, FOREST ECOL MANAG, V227, P31, DOI 10.1016/j.foreco.2006.02.006
   Messier C, 2019, FOR ECOSYST, V6, DOI 10.1186/s40663-019-0166-2
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Millar CI, 2014, J SUSTAIN FOREST, V33, pS28, DOI 10.1080/10549811.2014.887474
   Mladenoff D.J., 1999, SUCCESSION SPATIAL M
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Nagel LM, 2017, J FOREST, V115, P167, DOI 10.5849/jof.16-039
   Nyland RD, 2006, NORTH J APPL FOR, V23, P53, DOI 10.1093/njaf/23.1.53
   Ontl TA, 2018, CLIMATIC CHANGE, V146, P75, DOI 10.1007/s10584-017-1983-3
   Oswald EM, 2018, FOREST ECOL MANAG, V422, P303, DOI 10.1016/j.foreco.2018.04.014
   Post W.M., 2013, LINKAGES INDIVIDUAL
   Puettmann KJ, 2011, J FOREST, V109, P321
   R Core Team, 2019, R LANG ENV STAT COMP
   Ravenscroft C, 2010, ECOL APPL, V20, P327, DOI 10.1890/08-1698.1
   Rustad L., 2012, NRS99 USDA FOR SERV, P48
   Schaberg PG, 2006, FOREST ECOL MANAG, V223, P159, DOI 10.1016/j.foreco.2005.10.067
   Scheller RM, 2004, ECOL MODEL, V180, P211, DOI 10.1016/j.ecolmodel.2004.01.022
   Scheller RM, 2007, ECOL MODEL, V201, P409, DOI 10.1016/j.ecolmodel.2006.10.009
   Spies TA, 2010, LANDSCAPE ECOL, V25, P1185, DOI 10.1007/s10980-010-9483-0
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Thompson E.H.A.S., 2000, NATURE CONSERVACNY V
   Thompson JR, 2017, ECOL APPL, V27, P942, DOI 10.1002/eap.1497
   Thompson JR, 2011, ECOL APPL, V21, P2425, DOI 10.1890/10-2383.1
   Turner MG, 2010, ECOLOGY, V91, P2833, DOI 10.1890/10-0097.1
   Urbano AR, 2017, FOREST ECOL MANAG, V392, P21, DOI 10.1016/j.foreco.2017.02.037
   Wang WJ, 2017, LANDSCAPE ECOL, V32, P1399, DOI 10.1007/s10980-016-0429-z
   Woodall CW, 2018, FOREST ECOL MANAG, V429, P503, DOI 10.1016/j.foreco.2018.07.049
   Zhu K, 2014, GLOBAL CHANGE BIOL, V20, P251, DOI 10.1111/gcb.12382
   Zhu K, 2012, GLOBAL CHANGE BIOL, V18, P1042, DOI 10.1111/j.1365-2486.2011.02571.x
   Zolkos SG, 2015, ECOSYSTEMS, V18, P202, DOI 10.1007/s10021-014-9822-0
NR 74
TC 15
Z9 21
U1 3
U2 59
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0378-1127
EI 1872-7042
J9 FOREST ECOL MANAG
JI For. Ecol. Manage.
PD JAN 1
PY 2021
VL 479
AR 118527
DI 10.1016/j.foreco.2020.118527
PG 21
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA OV2HA
UT WOS:000592036400006
DA 2025-01-10
ER

PT J
AU Céréghino, R
   Françoise, L
   Bonhomme, C
   Carrias, JF
   Compin, A
   Corbara, B
   Jassey, V
   Leflaive, J
   Rota, T
   Farjalla, V
   Leroy, C
AF Cereghino, Regis
   Francoise, Lea
   Bonhomme, Camille
   Carrias, Jean-Francois
   Compin, Arthur
   Corbara, Bruno
   Jassey, Vincent
   Leflaive, Josephine
   Rota, Thibaut
   Farjalla, Vinicius
   Leroy, Celine
TI Desiccation resistance traits predict freshwater invertebrate survival
   and community response to drought scenarios in a Neotropical ecosystem
SO ECOLOGICAL INDICATORS
LA English
DT Article
DE Climate change; Functional traits; LT50; Macroinvertebrates; Rainforests
ID INSECTS; TOLERANCE; PATTERNS; ECOLOGY; HISTORY; BALANCE; MEDIATE; NICHES
AB The intensification of dry seasons is a major threat to freshwater biodiversity in Neotropical regions. Little is known about resistance to drying stress and the underpinning traits in Neotropical freshwater species, so we don't know whether desiccation resistance allows to anticipate shifts in biological diversity under future climate scenarios. Here, we used the aquatic invertebrates that live in the rainwater-filled leaves of tank bromeliads, to examine the extent to which desiccation resistance of species measured in the laboratory predicts community response to drought intensification in nature. We measured desiccation resistance in 17 invertebrate species (> 90% of the biomass usually found in bromeliads of French Guiana) by recording the median lethal time (LT50) of experimental populations exposed to controlled conditions of residual moisture. In the field, we placed rainshelters above tank bromeliads to emulate drought scenarios ranging from the ambient norm to IPCC scenarios and extreme events, and we recorded the response of functional community structure. LT50 ranged from 4.18 to 19.06 days, and was related to cuticle content and dry body mass. Among other functional indicators that represent strategies to optimize resource use under stressful conditions (e.g., habitat use, trophic specialization), LT50 was the best predictor of community structure responses along a gradient of emulated drought intensities. Therefore, species' LT5Os measured under laboratory conditions can be used to forecast aquatic community response to drying stress in nature. Anticipating how species will cope with drought has never been more important for environmental managers to support climate change adaptation. We show that desiccation resistance in freshwater invertebrates is a key indicator of potential population size and local-global range shifts, and this could be especially true in the Neotropics where species have narrow physiological tolerances for climatic variation.
C1 [Cereghino, Regis; Compin, Arthur; Jassey, Vincent; Leflaive, Josephine; Rota, Thibaut] Univ Toulouse, Lab Ecol Fonct & Environm, CNRS, F-30162 Toulouse, France.
   [Francoise, Lea] Lab Environm Petit Saut, Hydreco Guyane, F-97388 Kourou, France.
   [Francoise, Lea; Leroy, Celine] Univ Montpellier, INRA, CNRS, CIRAD,IRD,AMAP, F-34398 Montpellier, France.
   [Bonhomme, Camille; Farjalla, Vinicius] Univ Fed Rio de Janeiro UFRJ, Inst Biol, Dept Ecol, Rio De Janeiro, Brazil.
   [Carrias, Jean-Francois; Corbara, Bruno] Univ Clermont Auvergne, CNRS, LMGE, F-63000 Clermont Ferrand, France.
   [Leroy, Celine] Univ Antilles, Univ Guyane, INRA, ECOFOG,AgroParisTech,CIRAD,CNRS, Campus Agron, F-97379 Kourou, France.
C3 Universite de Toulouse; Universite Federale Toulouse Midi-Pyrenees
   (ComUE); Universite Toulouse III - Paul Sabatier; Institut National
   Polytechnique de Toulouse; Centre National de la Recherche Scientifique
   (CNRS); Institut de Recherche pour le Developpement (IRD); CIRAD; INRAE;
   Centre National de la Recherche Scientifique (CNRS); Universite de
   Montpellier; Universidade Federal do Rio de Janeiro; Centre National de
   la Recherche Scientifique (CNRS); Universite Clermont Auvergne (UCA);
   INRAE; AgroParisTech; CIRAD; Centre National de la Recherche
   Scientifique (CNRS); Universite des Antilles
RP Céréghino, R (corresponding author), Univ Toulouse, Lab Ecol Fonct & Environm, CNRS, F-30162 Toulouse, France.
EM regis.cereghino@univ-tlse3.fr
RI CEREGHINO, Regis/G-9500-2011; Carrias, Jean-François/AAT-2738-2021;
   Rota, Thibaut/KIC-7696-2024; Jassey, Vincent/Z-3002-2019; Leflaive,
   Josephine/F-2075-2018; COMPIN, Arthur/D-3826-2014
OI Compin, Arthur/0000-0002-0756-8649; Cereghino,
   Regis/0000-0003-3981-3159; Carrias, Jean-Francois/0000-0002-6201-1544
FU French Agence Nationale de la Recherche (ANR) through the Resilience
   project [ANR-18-CE02-0015]; Investissement d'Avenir grant (Labex CEBA)
   [ANR-10-LABX-25-01]; French Centre National de la Recherche Scientifique
   (CNRS) through the EC2CO-Biohefect project Proseco; French Fondation
   pour la Recherche sur la Biodiversite (FRB, CESAB programme); Agence
   Nationale de la Recherche (ANR) [ANR-18-CE02-0015] Funding Source:
   Agence Nationale de la Recherche (ANR)
FX We acknowledge financial support for research provided by the French
   Agence Nationale de la Recherche (ANR) through the Resilience project
   (grant ANR-18-CE02-0015) and an Investissement d'Avenir grant (Labex
   CEBA, ref. ANR-10-LABX-25-01), by the French Centre National de la
   Recherche Scientifique (CNRS) through the EC2CO-Biohefect project
   Proseco, and by the French Fondation pour la Recherche sur la
   Biodiversite (FRB, CESAB programme) as part of the activities of the
   FunctionalWebs Working Group. Two anonymous reviewers made useful
   comments on an earlier version of the manuscript. Competing interests:
   none
CR Addo-Bediako A, 2001, J INSECT PHYSIOL, V47, P1377, DOI 10.1016/S0022-1910(01)00128-7
   Amundrud SL, 2015, ECOLOGY, V96, P1957, DOI 10.1890/14-1828.1
   [Anonymous], 2013, CLIM CHANG 2013 5 AS
   [Anonymous], 2000, Food webs and container habitats: the natural history and ecology of phytotelmata
   Aspin TWH, 2019, GLOBAL CHANGE BIOL, V25, P230, DOI 10.1111/gcb.14495
   Bogan MT, 2015, FRESHWATER BIOL, V60, P2547, DOI 10.1111/fwb.12522
   Bonada N, 2007, GLOBAL CHANGE BIOL, V13, P1658, DOI 10.1111/j.1365-2486.2007.01375.x
   Brouard O, 2012, FRESHWATER BIOL, V57, P815, DOI 10.1111/j.1365-2427.2012.02749.x
   Bujan J, 2016, ECOL EVOL, V6, P6282, DOI 10.1002/ece3.2355
   Céréghino R, 2018, FUNCT ECOL, V32, P2435, DOI 10.1111/1365-2435.13141
   Céréghino R, 2010, ECOLOGY, V91, P1549, DOI 10.1890/09-1534.1
   Chase JM., 2003, Ecological niches: linking classical and contemporary approaches
   Chown SL, 2012, PHILOS T R SOC B, V367, P1615, DOI 10.1098/rstb.2011.0422
   CORLETT RT, 1994, J TROP ECOL, V10, P445, DOI 10.1017/S0266467400008129
   Crabot J, 2020, ECOGRAPHY, V43, P620, DOI 10.1111/ecog.04835
   Datry T, 2014, ECOGRAPHY, V37, P94, DOI 10.1111/j.1600-0587.2013.00287.x
   Dézerald O, 2018, AQUAT SCI, V80, DOI 10.1007/s00027-018-0566-3
   Dézerald O, 2017, FRESHWATER BIOL, V62, P229, DOI 10.1111/fwb.12862
   Dézerald O, 2015, FRESHWATER BIOL, V60, P1917, DOI 10.1111/fwb.12621
   Dias ATC, 2013, OECOLOGIA, V172, P667, DOI 10.1007/s00442-012-2541-3
   Dray S, 2014, ECOLOGY, V95, P14, DOI 10.1890/13-0196.1
   Ewers RM, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms7836
   Farnesi LC, 2015, J INSECT PHYSIOL, V83, P43, DOI 10.1016/j.jinsphys.2015.10.006
   Ferveur JF, 2018, PEERJ, V6, DOI 10.7717/peerj.4318
   Frank J.H., 2009, Terrestrial Arthropod Reviews, V1, P125
   Fu R, 2015, P NATL ACAD SCI USA, V112, P3593, DOI 10.1073/pnas.1503231112
   Gibbs AG, 2001, J EXP BIOL, V204, P2331
   HARRINGTON DP, 1982, BIOMETRIKA, V69, P553, DOI 10.2307/2335991
   Harrison JF, 2012, ECOL ENVIRON PHYSIOL, P1, DOI 10.1093/acprof:oso/9780199225941.001.0001
   Hoffmann AA, 2003, SCIENCE, V301, P100, DOI 10.1126/science.1084296
   HOOD WG, 1990, PHYSIOL ENTOMOL, V15, P23, DOI 10.1111/j.1365-3032.1990.tb00489.x
   Hugueny B, 2011, GLOBAL ECOL BIOGEOGR, V20, P449, DOI 10.1111/j.1466-8238.2010.00614.x
   KAPLAN EL, 1958, J AM STAT ASSOC, V53, P457, DOI 10.2307/2281868
   Kearney M, 2009, ECOL LETT, V12, P334, DOI 10.1111/j.1461-0248.2008.01277.x
   Kebede S, 2006, J HYDROL, V316, P233, DOI 10.1016/j.jhydrol.2005.05.011
   Kent Barnes Richard Stephen., 2009, The Invertebrates: A Synthesis
   Lake PS, 2011, DROUGHT AND AQUATIC ECOSYSTEMS: EFFECTS AND RESPONSES, P1, DOI 10.1002/9781444341812
   Ledger ME, 2013, NAT CLIM CHANGE, V3, P223, DOI [10.1038/nclimate1684, 10.1038/NCLIMATE1684]
   Leroy C, 2017, HYDROBIOLOGIA, V802, P85, DOI 10.1007/s10750-017-3242-z
   Lutterschmidt WI, 1997, CAN J ZOOL, V75, P1561, DOI 10.1139/z97-783
   McGill BJ, 2006, TRENDS ECOL EVOL, V21, P178, DOI 10.1016/j.tree.2006.02.002
   Nakahara Y, 2008, J INSECT PHYSIOL, V54, P1220, DOI 10.1016/j.jinsphys.2008.05.007
   Oberdorff T, 2015, J APPL ICHTHYOL, V31, P4, DOI 10.1111/jai.12971
   Pallarés S, 2017, J EXP BIOL, V220, P1277, DOI 10.1242/jeb.152108
   Pallarés S, 2016, PEERJ, V4, DOI 10.7717/peerj.2382
   Petermann JS, 2015, ECOLOGY, V96, P428, DOI 10.1890/14-0304.1
   Piano E, 2019, HYDROBIOLOGIA, V841, P177, DOI 10.1007/s10750-019-04021-2
   Poff NL, 2006, J N AM BENTHOL SOC, V25, P730, DOI 10.1899/0887-3593(2006)025[0730:FTNONA]2.0.CO;2
   Porto DS, 2016, REV BRAS ENTOMOL, V60, P109, DOI 10.1016/j.rbe.2015.11.007
   Robson BJ, 2011, MAR FRESHWATER RES, V62, P801, DOI 10.1071/MF10062
   Schleuning M, 2020, TRENDS ECOL EVOL, V35, P319, DOI 10.1016/j.tree.2019.12.010
   Sokolova IM, 2012, MAR ENVIRON RES, V79, P1, DOI 10.1016/j.marenvres.2012.04.003
   Srivastava DS, 2020, BIOTROPICA, V52, P1030, DOI 10.1111/btp.12734
   Srivastava DS, 2020, ECOLOGY, V101, DOI 10.1002/ecy.2984
   Srivastava DS, 2004, TRENDS ECOL EVOL, V19, P379, DOI 10.1016/j.tree.2004.04.010
   Start D, 2018, P NATL ACAD SCI USA, V115, P6016, DOI 10.1073/pnas.1802091115
   Strachan S., 2015, SPRINGER SCI REV, V3, P57, DOI DOI 10.1007/S40362-015-0031-9
   Tewksbury JJ, 2008, SCIENCE, V320, P1296, DOI 10.1126/science.1159328
   Thorat L, 2018, FRONT PHYSIOL, V9, DOI 10.3389/fphys.2018.01843
   Trzcinski MK, 2016, J ANIM ECOL, V85, P1147, DOI 10.1111/1365-2656.12538
   Ulloa CU, 2017, SCIENCE, V358, P1614, DOI 10.1126/science.aao0398
   van der Lee GH, 2020, AQUAT SCI, V82, DOI 10.1007/s00027-020-0698-0
   Verberk WCEP, 2016, ANN NY ACAD SCI, V1365, P73, DOI 10.1111/nyas.12876
   Wieczynski DJ, 2019, P NATL ACAD SCI USA, V116, P587, DOI 10.1073/pnas.1813723116
NR 64
TC 9
Z9 9
U1 2
U2 22
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1470-160X
EI 1872-7034
J9 ECOL INDIC
JI Ecol. Indic.
PD DEC
PY 2020
VL 119
AR 106839
DI 10.1016/j.ecolind.2020.106839
PG 9
WC Biodiversity Conservation; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA OD4JB
UT WOS:000579817600052
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Khirfan, L
   Mohtat, N
   Peck, M
   Chan, A
   Ma, L
AF Khirfan, Luna
   Mohtat, Niloofar
   Peck, Megan
   Chan, Andrew
   Ma, Lucas
TI Dataset for assessing the scope and nature of global stream daylighting
   practices
SO DATA IN BRIEF
LA English
DT Article; Data Paper
DE Stream daylighting; Deculverting; Nature-based solutions; Systematic
   literature review; Content analysis; Climate change
ID REVIEWS
AB This paper presents five publicly available datasets (I through V) of which two are interactive and visual tools (a Tableau Dashboard and an Interactive Map). These five datasets were extracted from 115 literature sources on the daylighting of streams that were published between 1992 and 2018. Dataset I consist of 19 variables that combine two types of data extracted from these sources: ten manifest variables (indisputable, obvious, factual) and nine variables extracted from the sources' latent content (indirect, hence, based on careful reading of the sources' contents). Manifest variables include, among others, authors' names and affiliations, authorship location, and publication year. Latent variables include primarily the literature sources' underlying themes and their sub-themes (sub-categories), the daylighting case studies/projects discussed, and the geographic coverage or scope addressed in the literature sources. Datasets II identifies 16 literature sources that delve into the climate change adaptation and/or mitigation theme and reveal how it was tackled vis-a-vis the other themes/sub-themes. Dataset III identifies and provides detailed information on the 145 different stream daylighting case studies/projects mentioned in the literature's sources, such as each project's location, daylighted length, completion date, cost, and type of treatment. Dataset IV is a Tableau Dashboard that offers interactive analytical querying in the form of relational analyses and data visualization while Dataset V is an Interactive Map created in Google My Map that maps the 145 stream daylighting case studies/projects mentioned in the literature sources over and provides a synopsis on each based on the literature's contents. The combination of these five datasets and their diversity in type and presentation yields a comprehensive, global, and unique repository of information on the daylighting of urban streams for all types of audiences (academic, professional, and laypeople). (C) 2020 The Author(s). Published by Elsevier Inc.
C1 [Khirfan, Luna; Mohtat, Niloofar; Peck, Megan; Ma, Lucas] Univ Waterloo, Sch Planning, Waterloo, ON, Canada.
   [Chan, Andrew] City Belleville, Belleville, ON, Canada.
C3 University of Waterloo
RP Khirfan, L (corresponding author), Univ Waterloo, Sch Planning, Waterloo, ON, Canada.
EM luna.khirfan@uwaterloo.ca
RI Chan, Andrew/ABC-5199-2021; Khirfan, Luna/AAU-3891-2020
CR Berg B., 2017, QUALITATIVE RES METH, V9th
   Cho JY, 2014, QUAL REP, V19
   Duriau VJ, 2007, ORGAN RES METHODS, V10, P5, DOI 10.1177/1094428106289252
   Elo S, 2008, J ADV NURS, V62, P107, DOI 10.1111/j.1365-2648.2007.04569.x
   Haggarty L, 1996, MED TEACH, V18, P99, DOI 10.3109/01421599609034141
   Khirfan Luna, 2020, Water Security, V10, P29, DOI 10.1016/j.wasec.2020.100067
   Khirfan L, 2020, METHODSX, V7, DOI 10.1016/j.mex.2020.100984
   Khirfan L, 2020, SUSTAIN CITIES SOC, V59, DOI 10.1016/j.scs.2020.102225
   Kondracki NL, 2002, J NUTR EDUC BEHAV, V34, P224, DOI 10.1016/S1499-4046(06)60097-3
   Mayring P, 2004, COMPANION QUALITATIV, V1, P159
   MULROW CD, 1994, BRIT MED J, V309, P597, DOI 10.1136/bmj.309.6954.597
   Seuring S, 2012, SUPPLY CHAIN MANAG, V17, P544, DOI 10.1108/13598541211258609
NR 12
TC 3
Z9 4
U1 1
U2 13
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2352-3409
J9 DATA BRIEF
JI Data Brief
PD DEC
PY 2020
VL 33
AR 106366
DI 10.1016/j.dib.2020.106366
PG 22
WC Multidisciplinary Sciences
WE Emerging Sources Citation Index (ESCI)
SC Science & Technology - Other Topics
GA PH8JS
UT WOS:000600652300045
PM 33102650
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Jamshed, A
   Birkmann, J
   Feldmeyer, D
   Rana, IA
AF Jamshed, Ali
   Birkmann, Joern
   Feldmeyer, Daniel
   Rana, Irfan Ahmad
TI A Conceptual Framework to Understand the Dynamics of Rural-Urban
   Linkages for Rural Flood Vulnerability
SO SUSTAINABILITY
LA English
DT Article
DE disaster risk; holistic approach; rural-urban relationships; regional
   development; vulnerability dynamics; rural flooding
ID CLIMATE-CHANGE VULNERABILITY; SOCIAL NETWORKS; ADAPTATION STRATEGIES;
   CITY SIZE; RISK; MIGRATION; COMMUNITIES; DISASTER; DETERMINANTS;
   LIVELIHOODS
AB Rural areas are highly vulnerable to floods due to limited social, economic, and physical resources. Understanding rural vulnerability is vital for developing effective disaster risk reduction strategies. Even though rural areas and cities are intrinsically linked, rural vulnerability was assessed without considering its relation to cities. Numerous theoretical frameworks on systemizing and assessing vulnerability were developed with varying level of scope and depth in terms of scale, dimensions, and components. Nevertheless, these frameworks did not explicitly mention the impact of flood or other hazards on the linkages between spatial units i.e., rural and urban. This study aims to understand and conceptualize the rural vulnerability with respect to the dynamics of rural-urban linkages in the case of flood events. To do so, current literature on rural-urban linkages, vulnerability, as well as factors that influence them were critically reviewed. Taking into account the main elements of rural-urban linkages (flow of people, information, finances, goods and services), components of vulnerability (exposure, susceptibility, and capacity), and factors (social, economic, institutional, infrastructural, spatial, and environmental), a unified framework is proposed. The framework underscores that the role of rural-urban linkages is essential to fully understand rural flood vulnerability. Moreover, the framework highlights the role of spatial factors-city size and proximity to the city-as crucial to comprehend rural vulnerability. This framework can be used as a tool for understanding multifaceted rural vulnerability for climate change adaptation and disaster risk reduction considering spatial development perspective. In this context, empirical investigations can be made to validate the proposed framework and policies can be introduced accordingly. Overall, the proposed framework can help recognize concepts and links of vulnerability, rural-urban dependencies, and rural development dynamics.
C1 [Jamshed, Ali; Birkmann, Joern; Feldmeyer, Daniel] Univ Stuttgart, Inst Spatial & Reg Planning IREUS, D-70569 Stuttgart, Germany.
   [Rana, Irfan Ahmad] Natl Univ Sci & Technol NUST, Dept Urban & Reg Planning, Sch Civil & Environm Engn SCEE, Islamabad 44000, Pakistan.
C3 University of Stuttgart; National University of Sciences & Technology -
   Pakistan
RP Jamshed, A (corresponding author), Univ Stuttgart, Inst Spatial & Reg Planning IREUS, D-70569 Stuttgart, Germany.
EM ali.jamshed@ireus.uni-stuttgart.de;
   joern.birkmann@ireus.uni-stuttgart.de;
   daniel.feldmeyer@ireus.uni-stuttgart.de; irfanrana90@hotmail.com
RI Jamshed, Ali/AAF-6809-2020; Feldmeyer, Dirk/H-5940-2013; Birkmann,
   Joern/J-5736-2015; Rana, Irfan Ahmad/C-2560-2017
OI Rana, Irfan Ahmad/0000-0002-3157-1186; Birkmann,
   Joern/0000-0001-8733-3964; Jamshed, Ali/0000-0003-4802-1225
FU Higher Education Commission (HEC), Pakistan [SAP-50020940]; German
   Academic Exchange Service (DAAD) [PIN = 91549672]; University of
   Stuttgart
FX "This research was funded by Higher Education Commission (HEC), Pakistan
   (SAP-50020940) and German Academic Exchange Service (DAAD) (PIN =
   91549672)" and "The APC was funded by University of Stuttgart".
CR Abbas HB, 2014, DISASTER PREV MANAG, V23, P395, DOI 10.1108/DPM-07-2013-0112
   Abbay AG, 2016, LETT SPAT RESOUR SCI, V9, P287, DOI 10.1007/s12076-015-0158-y
   Abid M, 2015, EARTH SYST DYNAM, V6, P225, DOI 10.5194/esd-6-225-2015
   Abid M, 2017, CLIMATE, V5, DOI 10.3390/cli5040085
   Abid M, 2016, SCI TOTAL ENVIRON, V547, P447, DOI 10.1016/j.scitotenv.2015.11.125
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 1999, WORLD DEV, V27, P249, DOI 10.1016/S0305-750X(98)00136-3
   Ahmed UL, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0185466
   Akkoyunlu S., 2015, Int. J. Sustain. Dev. World Policy, V4, P20, DOI [10.18488/journal.26/2015.4.2/26.2.20.40, DOI 10.18488/JOURNAL.26/2015.4.2/26.2.20.40]
   [Anonymous], 2001, IHDP UPDATE
   [Anonymous], 4308 POL RES
   [Anonymous], 2013, Measuring Vulnerability to Natural Hazards: Towards Disaster Resilient Societies
   [Anonymous], NAT HAZARDS
   [Anonymous], HABITAT 3 NEW URB AG
   [Anonymous], 2005, VULNERABILITY CLIMAT
   [Anonymous], AM J MED SCI, DOI [DOI 10.1007/s11270-007-9372-6, DOI 10.1016/J.AMJMS.2021.03.001,00089-6]
   [Anonymous], MIGRATION PAKISTAN F
   [Anonymous], 2017, J EXTREM EVENTS, DOI DOI 10.1142/S2345737618500057
   [Anonymous], CLIMATE CHANGE 2014
   [Anonymous], A71644 UN OFF DIS RI
   [Anonymous], 2000, CUADERNO TECNICO
   [Anonymous], 2015, WORKING PAPER
   [Anonymous], PAKISTANS IDP RELIEF
   [Anonymous], 1933, CENTRAL PLACES SO GE
   [Anonymous], URBAN DISASTERS RESI
   [Anonymous], 2017, Vulnerability, Risk and Adaptation: A Conceptual Framework Vulnerability, Risk and Adaptation: A Conceptual Framework Tyndall Centre for Climate Change Research, DOI DOI 10.1007/s10113-007-0036-2
   [Anonymous], UN DEM YB 2017
   [Anonymous], UNDRR TERM DIS RISK
   [Anonymous], 1826, NZ GEOGRAPHER
   Arai T., 2012, J. Peacebuilding Dev, V7, P51, DOI [10.1080/15423166.2012.719331, DOI 10.1080/15423166.2012.719331]
   Armah FA, 2010, WATER-SUI, V2, P120, DOI 10.3390/w2020120
   Bah M, 2003, ENVIRON URBAN, V15, P13, DOI 10.1177/095624780301500104
   Berdegué JA, 2015, WORLD DEV, V73, P56, DOI 10.1016/j.worlddev.2014.12.013
   Bhattacharjee K, 2018, INT J DISAST RISK RE, V31, P758, DOI 10.1016/j.ijdrr.2018.07.017
   Birkmann J, 2013, NAT HAZARDS, V67, P193, DOI 10.1007/s11069-013-0558-5
   Birkmann J, 2010, NAT HAZARDS, V55, P637, DOI 10.1007/s11069-008-9319-2
   Birkmann J., 2006, Measuring Vulnerability to Natural Hazards: Towards Disaster Resilient Societies, V1, P9
   Birkmann J, 2016, NATURE, V537, P605, DOI 10.1038/537605a
   Birkmann J, 2008, DISASTERS, V32, P82, DOI 10.1111/j.1467-7717.2007.01028.x
   Black R, 2013, ENVIRON SCI POLICY, V27, pS32, DOI 10.1016/j.envsci.2012.09.001
   Blaikie P., 1994, At Risk: Natural hazards, people's vulnerability, and disasters
   Boon HJ, 2014, NAT HAZARDS, V71, P683, DOI 10.1007/s11069-013-0935-0
   Brouwer R, 2007, RISK ANAL, V27, P313, DOI 10.1111/j.1539-6924.2007.00884.x
   Cannon T., 2003, SOCIAL VULNERABILITY
   Cardona OD, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P65
   Cook P, 2011, ENERGY SUSTAIN DEV, V15, P304, DOI 10.1016/j.esd.2011.07.008
   Costa L, 2013, SUSTAIN SCI, V8, P1, DOI 10.1007/s11625-012-0158-4
   Cross J.A., 2001, Environmental Hazards, V3, P63, DOI DOI 10.3763/EHAZ.2001.0307
   Cutter S.L., 1993, LIVING RISK GEOGRAPH
   Cutter SL, 1996, PROG HUM GEOG, V20, P529, DOI 10.1177/030913259602000407
   Dasgupta P, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P613
   Deichmann U, 2009, WORLD DEV, V37, P645, DOI 10.1016/j.worlddev.2008.08.008
   Destek MA, 2020, J CLEAN PROD, V242, DOI 10.1016/j.jclepro.2019.118537
   DFID, 1999, SUST LIV GUID SHEET
   Douglass M, 1998, THIRD WORLD PLAN REV, V20, P1
   Phung D, 2016, INT J BIOMETEOROL, V60, P857, DOI 10.1007/s00484-015-1078-7
   Duvivier C, 2013, APPL ECON, V45, P4308, DOI 10.1080/00036846.2013.778953
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   EVANS HE, 1992, J DEV STUD, V28, P640, DOI 10.1080/00220389208422250
   Fafchamps M, 2003, J DEV STUD, V39, P23, DOI 10.1080/00220380312331293577
   Fang CL, 2016, J GEOGR SCI, V26, P153, DOI 10.1007/s11442-016-1260-9
   Ferdous MR, 2019, WATER-SUI, V11, DOI 10.3390/w11061238
   Ferré C, 2012, WORLD BANK ECON REV, V26, P351, DOI 10.1093/wber/lhs007
   Few R., 2003, PROG DEV STUD, V3, P43, DOI [DOI 10.1191/1464993403PS049RA, 10.1191/1464993403ps049ra]
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Friedmann J., 1966, REGIONAL DEV POLICY
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   Gain AK, 2015, NAT HAZARDS, V79, P1499, DOI 10.1007/s11069-015-1911-7
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Gebre T, 2019, GLOB ECOL CONSERV, V20, DOI 10.1016/j.gecco.2019.e00707
   Greiving S., 2006, J Environ Plan Manag, V49, P739, DOI [10.1080/09640560600850044, DOI 10.1080/09640560600850044]
   Greiving S, 2012, EUR PLAN STUD, V20, P27, DOI 10.1080/09654313.2011.638493
   Guadagno L, 2016, INT J DISAST RISK SC, V7, P30, DOI 10.1007/s13753-016-0077-6
   Hahn MB, 2009, GLOBAL ENVIRON CHANG, V19, P74, DOI 10.1016/j.gloenvcha.2008.11.002
   Handayani W, 2017, ADV CLIM CHANG RES, V8, P286, DOI 10.1016/j.accre.2017.11.002
   Henry MS, 1999, GROWTH CHANGE, V30, P526, DOI 10.1111/j.1468-2257.1999.tb00044.x
   Hsu WT, 2012, ECON J, V122, P903, DOI 10.1111/j.1468-0297.2012.02518.x
   Ira Das Ira Das, 2013, International Journal of Rural Management, V9, P183, DOI 10.1177/0973005213499222
   Jamshed A., 2017, J EXTREME EVENTS, V4, P1750013, DOI 10.1142/S2345737617500130
   Jamshed A, 2020, CLIM CHANG MANAG, P585, DOI 10.1007/978-3-030-37425-9_30
   Jamshed A, 2019, INT J DISAST RISK RE, V36, DOI 10.1016/j.ijdrr.2019.101109
   Jonkman SN, 2005, NAT HAZARDS, V34, P151, DOI 10.1007/s11069-004-8891-3
   Le De L, 2015, ENVIRON DEV SUSTAIN, V17, P653, DOI 10.1007/s10668-014-9559-0
   Lerner AM, 2011, GEOGR J, V177, P311, DOI 10.1111/j.1475-4959.2010.00394.x
   Liu Y, 2012, HABITAT INT, V36, P192, DOI 10.1016/j.habitatint.2011.08.008
   Luna F., 2018, Encyclopedia of the Anthropocene, P127, DOI [DOI 10.1016/B978-0-12-809665-9.10478-1, 10.4324/9781315640051-26]
   Luu C, 2018, WATER-SUI, V10, DOI 10.3390/w10040461
   Lynch Kenny., 2005, Rural-Urban Interaction in the Developing World
   Maertens A, 2013, AM J AGR ECON, V95, P353, DOI 10.1093/ajae/aas049
   Mayer H, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080745
   McLeman R, 2006, CLIMATIC CHANGE, V76, P31, DOI 10.1007/s10584-005-9000-7
   Mitchell J.K., 1989, GEOGRAPHY AM, P410
   Mitra A, 2009, INT J MIGR HEALTH SO, V5, P35, DOI 10.1108/17479894200900011
   Motsholapheko MR, 2012, AGREKON, V51, P41, DOI 10.1080/03031853.2012.741204
   Munyai RB, 2019, JAMBA-J DISASTER RIS, V11
   Mustafa D, 1998, ECON GEOGR, V74, P289, DOI 10.2307/144378
   Mutton D, 2004, DISASTERS, V28, P41, DOI 10.1111/j.0361-3666.2004.00242.x
   Nazari S, 2015, ECOL INDIC, V52, P517, DOI 10.1016/j.ecolind.2015.01.006
   de Andrade MMN, 2018, SCI TOTAL ENVIRON, V630, P903, DOI 10.1016/j.scitotenv.2018.02.271
   O'Brien K, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P437
   Okten C, 2004, WORLD DEV, V32, P1225, DOI 10.1016/j.worlddev.2004.01.012
   Paavola J, 2008, ENVIRON SCI POLICY, V11, P642, DOI 10.1016/j.envsci.2008.06.002
   Pairama J, 2018, INT J DISAST RISK SC, V9, P331, DOI 10.1007/s13753-018-0183-8
   Pandey R, 2017, ECOL INDIC, V79, P338, DOI 10.1016/j.ecolind.2017.03.047
   Paul SK, 2010, DISASTERS, V34, P489, DOI 10.1111/j.1467-7717.2009.01139.x
   Penning-Rowsell E, 2005, NAT HAZARDS, V36, P43, DOI 10.1007/s11069-004-4538-7
   Perroux F., 1955, ECON APPL, V8, P307
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Rakib MA, 2017, WEATHER CLIM EXTREME, V18, P29, DOI 10.1016/j.wace.2017.10.002
   Rana IA, 2020, CITIES, V96, DOI 10.1016/j.cities.2019.102418
   Rana IA, 2018, INT J DISAST RISK SC, V9, P359, DOI 10.1007/s13753-018-0179-4
   Rana IA, 2016, INT J DISAST RISK RE, V19, P366, DOI 10.1016/j.ijdrr.2016.08.028
   Romanescu G, 2018, J FLOOD RISK MANAG, V11, pS502, DOI 10.1111/jfr3.12249
   Romic I, 2018, REG STUD REG SCI, V5, P204, DOI 10.1080/21681376.2018.1479982
   Sam AS, 2017, NAT HAZARDS, V88, P1133, DOI 10.1007/s11069-017-2911-6
   Sarker MNI, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11061623
   Satterthwaite D., 2006, The role of small and intermediate urban centres in regional and rural development: Assumptions and evidence
   Scheuer S, 2011, NAT HAZARDS, V58, P731, DOI 10.1007/s11069-010-9666-7
   Schmitt B, 2000, REG SCI URBAN ECON, V30, P1, DOI 10.1016/S0166-0462(99)00036-8
   Shah AA, 2018, NAT HAZARDS, V93, P147, DOI 10.1007/s11069-018-3293-0
   Shah AA, 2017, NAT HAZARDS, V88, P415, DOI 10.1007/s11069-017-2872-9
   Shah KU, 2013, GEOFORUM, V47, P125, DOI 10.1016/j.geoforum.2013.04.004
   Sharma A, 2016, J DEV STUD, V52, P1593, DOI 10.1080/00220388.2016.1166207
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Srivastava N, 2015, INT J DISAST RISK RE, V12, P81, DOI 10.1016/j.ijdrr.2014.12.003
   Srivastava N, 2012, COMM ENV DISAST RISK, V9, P145, DOI 10.1108/S2040-7262(2012)0000009015
   Steinberg F., 2014, Rural-Urban Linkages: an urban perspective
   Suckall N, 2017, CLIM DEV, V9, P298, DOI 10.1080/17565529.2016.1149441
   Suckall N, 2015, APPL GEOGR, V63, P244, DOI 10.1016/j.apgeog.2015.07.004
   Tacoli C., 2007, Development (London), V50, P90, DOI 10.1057/palgrave.development.1100375
   Tacoli C, 2003, ENVIRON URBAN, V15, P3, DOI 10.1177/095624780301500111
   Tacoli C, 1998, ENVIRON URBAN, V10, P147, DOI 10.1177/095624789801000105
   Tacoli C, 2010, ENVIRON URBAN, V22, P389, DOI 10.1177/0956247810379935
   Tacoli C, 2009, ENVIRON URBAN, V21, P513, DOI 10.1177/0956247809342182
   Tacoli Cecilia., 2006, EARTHSCAN READER RUR
   Tanoue M, 2016, SCI REP-UK, V6, DOI 10.1038/srep36021
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   Turpie J., 2013, Financial and Fiscal Commission. Submission for the 2013/14 Division of Revenue, P100
   UN-Habitat, 2017, IMPL NEW URB AG STRE
   UNDRR, 2015, SEND FRAM DIS RISK R
   United Nations, 2018, Lancet
   United Nations Department of Economic and Social Affairs (Un Desa), 2018, WORLD URB PROSP
   Von Braun J., 2007, INT FOOD POLICY RES, P7
   Wackernagel M., 1996, OUR ECOLOGICAL FOOTP
   Warner KT Afifi., 2013, Changing climate, moving people: framing migration, displacement and planned relocation
   Wisner B., 2004, AT RISK, V2nd
   Younus MAF, 2017, NAT HAZARDS, V89, P1437, DOI 10.1007/s11069-017-3027-8
NR 147
TC 38
Z9 39
U1 7
U2 51
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD APR
PY 2020
VL 12
IS 7
AR 2894
DI 10.3390/su12072894
PG 25
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA LL4WR
UT WOS:000531558100319
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Belete, M
   Deng, JS
   Abubakar, GA
   Teshome, M
   Wang, K
   Woldetsadik, M
   Zhu, EY
   Comber, A
   Gudo, A
AF Belete, Marye
   Deng, Jinsong
   Abubakar, Ghali A.
   Teshome, Menberu
   Wang, Ke
   Woldetsadik, Muluneh
   Zhu, Enyan
   Comber, Alexis
   Gudo, Adam
TI Partitioning the impacts of land use/land cover change and climate
   variability on water supply over the source region of the Blue Nile
   Basin
SO LAND DEGRADATION & DEVELOPMENT
LA English
DT Article
DE impact of LULC and climate variability; InVEST; LULC change; climate
   variability; water yield
ID SATELLITE RAINFALL PRODUCTS; MULTITEMPORAL LANDSAT; ECOSYSTEM SERVICES;
   CLASSIFICATION; ACCURACY; SIMULATION; YIELD; GIS; KEY
AB Water plays a vital role in sustaining the natural functioning of the entire ecosystem that supports life on Earth. It plays key roles in the well-being of society in numerous ways. However, climate variability and land use land cover (LULC) change have caused spatiotemporal water supply variation. Disentangling the effects of climate variability from LULC change on water supply is crucial for sustainable water resource management. The main purpose of this study is, therefore, to disentangle the relative contribution of LULC change and climate variability to the overall average annual water supply variation. Residual trends analysis combined with Integrated Valuation of Environmental Services and Tradeoffs (InVEST) annual water yield model was adopted to perform simulations and disentangle the relative impacts of climate variability and LULC change. Ground and satellite data were used in this study. The study area has experienced a significant increasing wetness trend and significant LULC dynamics between 2003 and 2017. As a result, an increasing water supply was observed due to the joint effects of climate variability and LULC change in the watershed (203 mm). The contribution of climate variability was 94%, whereas LULC contributes only 6% from 2003 to 2017. Climate variability negatively led to water supply variation while LULC change contributed positively from 2010 to 2017. Although the ongoing soil and water conservation (SWC) practices improved vegetation cover and water retention of the watershed, climate variability is the main driver of water supply variation. Therefore, SWC practices should incorporate ecosystem-based climate change adaptation strategies and scale up to community-based integrated watershed management to sustain water supply.
C1 [Belete, Marye; Deng, Jinsong; Abubakar, Ghali A.; Wang, Ke; Zhu, Enyan; Gudo, Adam] Zhejiang Univ, Coll Environm & Resource Sci, Hangzhou 310058, Peoples R China.
   [Belete, Marye] Debre Tabor Univ, Dept Nat Resource Management, Debre Tabor, Ethiopia.
   [Teshome, Menberu] Debre Tabor Univ, Dept Geog & Environm Studies, Debre Tabor, Ethiopia.
   [Woldetsadik, Muluneh] Addis Ababa Univ, Dept Geog & Environm Studies, Addis Ababa, Ethiopia.
   [Comber, Alexis] Univ Leeds, Sch Geog, Leeds, W Yorkshire, England.
C3 Zhejiang University; Addis Ababa University; University of Leeds
RP Deng, JS (corresponding author), Zhejiang Univ, Coll Environm & Resource Sci, Hangzhou 310058, Peoples R China.
EM marye_belete@zju.edu.cn; jsong_deng@zju.edu.cn; ghaliaa@zju.edu.cn;
   menberuteshome@gmail.com; kwang@zju.edu.cn; mabshare@gmail.com;
   eyzhu@zju.edu.cn; a.comber@leeds.ac.uk; 11714072@zju.edu.cn
RI Alemayehu, Marye/ABD-3164-2020; Deng, Jinsong/A-9301-2015; Comber,
   Alexis/O-4170-2014
OI Belete, Marye/0000-0001-5094-1560; Comber, Alexis/0000-0002-3652-7846
FU Zhejiang University; University of Leeds; National Natural Science
   Foundation of China [41701171]; Zhejiang Provincial Natural Science
   Foundation of China [LY18G030006]
FX International Cooperation Regional Development Project between Zhejiang
   University and the University of Leeds; National Natural Science
   Foundation of China, Grant/Award Number: 41701171; Zhejiang Provincial
   Natural Science Foundation of China, Grant/Award Number: LY18G030006
CR Allen R. G., 1998, FAO Irrigation and Drainage Paper
   Alphan H, 2009, ENVIRON MONIT ASSESS, V151, P327, DOI 10.1007/s10661-008-0274-x
   Andualem T., 2015, INT J TECHNOL ENHANC, V3, P28
   [Anonymous], 2012, Technical Report
   [Anonymous], 2015, INT SOIL WAT ASS TOO, DOI DOI 10.13140/RG.2.1.2288.3680
   [Anonymous], 2012, HARMONIZED WORLD SOI
   Arunyawat S, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080768
   Atanaw F, 2015, EFFECTS PHYS CATCHME, P1
   Ayele HS, 2016, TERR ATMOS OCEAN SCI, V27, P1005, DOI 10.3319/TAO.2016.07.30.01
   Ayenew Y., 2008, GEOGRAPHICAL INFORM
   Bayissa Y, 2017, REMOTE SENS-BASEL, V9, DOI 10.3390/rs9070669
   Belete M, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030810
   Biro K, 2013, LAND DEGRAD DEV, V24, P90, DOI 10.1002/ldr.1116
   Biru M. K., 2015, International Journal of Environmental Sciences, V4, P81
   Bitew MM, 2012, J HYDROMETEOROL, V13, P338, DOI 10.1175/2011JHM1292.1
   Butt A, 2015, EGYPT J REMOTE SENS, V18, P251, DOI 10.1016/j.ejrs.2015.07.003
   Canadell J, 1996, Oecologia, V108, P583, DOI 10.1007/BF00329030
   Chakilu G. G., 2017, Hydrology: Current Research, V8, P268, DOI 10.4172/2157-7587.1000268
   Chawla I, 2015, HYDROL EARTH SYST SC, V19, P3633, DOI 10.5194/hess-19-3633-2015
   CONGALTON RG, 1991, REMOTE SENS ENVIRON, V37, P35, DOI 10.1016/0034-4257(91)90048-B
   Dile YT, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0079296
   Dinku T, 2007, INT J REMOTE SENS, V28, P1503, DOI 10.1080/01431160600954688
   Donohue RJ, 2012, J HYDROL, V436, P35, DOI 10.1016/j.jhydrol.2012.02.033
   Dorigo W, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL052988
   Droogers P., 2002, Irrigation and Drainage Systems, V16, P33, DOI 10.1023/A:1015508322413
   Easton ZM, 2010, HYDROL EARTH SYST SC, V14, P1827, DOI 10.5194/hess-14-1827-2010
   El-Hattab MM, 2016, EGYPT J REMOTE SENS, V19, P23, DOI 10.1016/j.ejrs.2016.02.002
   Evans J, 2004, J ARID ENVIRON, V57, P535, DOI 10.1016/S0140-1963(03)00121-6
   Feng XM, 2012, HYDROL EARTH SYST SC, V16, P2617, DOI 10.5194/hess-16-2617-2012
   Ferrari Gláucia Tatiana, 2014, Rev. bras. meteorol., V29, P21
   Foody GM, 2002, REMOTE SENS ENVIRON, V80, P185, DOI 10.1016/S0034-4257(01)00295-4
   Fu B.P., 1981, Sci. Atmos. Sin, V5, P23, DOI DOI 10.3878/J.ISSN.1006-9895.1981.01.03
   Hamel P, 2015, HYDROL EARTH SYST SC, V19, P839, DOI 10.5194/hess-19-839-2015
   Hassen E.E., 2018, Environ. Syst. Res, V6, P4, DOI [10.1186/s40068-017-0081-x, DOI 10.1186/S40068-017-0081-X]
   Hu QF, 2014, INT J REMOTE SENS, V35, P1272, DOI 10.1080/01431161.2013.876118
   Huang C, 2002, INT J REMOTE SENS, V23, P725, DOI 10.1080/01431160110040323
   I T T Visual Information Solutions, 2009, ATM CORR MOD QUAC FL, P44
   Jemberie M., 2016, INT J INNOVATIONS EN, V3, P2394
   Jensen J.R., 2016, Introductory Digital Image Processing: A Remote Sensing Perspective, V4th
   Kremen C, 2005, ECOL LETT, V8, P468, DOI 10.1111/j.1461-0248.2005.00751.x
   Krysanova V, 2015, HYDROLOG SCI J, V60, P771, DOI 10.1080/02626667.2015.1029482
   Larsen L, 2004, J AM PLANN ASSOC, V70, P374
   Lu D, 2004, INT J REMOTE SENS, V25, P2365, DOI 10.1080/0143116031000139863
   Lü YH, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0031782
   Moges DM, 2018, LAND DEGRAD DEV, V29, P3317, DOI 10.1002/ldr.3091
   Moges DM, 2017, ENVIRON EARTH SCI, V76, DOI 10.1007/s12665-017-7109-4
   Mountrakis G, 2011, ISPRS J PHOTOGRAMM, V66, P247, DOI 10.1016/j.isprsjprs.2010.11.001
   Mulatu CA, 2018, GEOSCIENCES, V8, DOI 10.3390/geosciences8070255
   Munyati C, 2000, INT J REMOTE SENS, V21, P1787, DOI 10.1080/014311600209742
   Pan T, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0123793
   Pessacg N, 2015, SCI TOTAL ENVIRON, V537, P225, DOI 10.1016/j.scitotenv.2015.07.148
   Phiri D, 2017, REMOTE SENS-BASEL, V9, DOI 10.3390/rs9090967
   Pontius RG, 2004, AGR ECOSYST ENVIRON, V101, P251, DOI 10.1016/j.agee.2003.09.008
   Pontius RG, 2011, INT J REMOTE SENS, V32, P4407, DOI 10.1080/01431161.2011.552923
   Praskievicz S, 2009, PROG PHYS GEOG, V33, P650, DOI 10.1177/0309133309348098
   Rodriguez-Galiano VF, 2012, ISPRS J PHOTOGRAMM, V67, P93, DOI 10.1016/j.isprsjprs.2011.11.002
   Sahle M, 2019, SCI TOTAL ENVIRON, V646, P573, DOI 10.1016/j.scitotenv.2018.07.347
   Setegn SG, 2009, HYDROL PROCESS, V23, P3738, DOI 10.1002/hyp.7476
   Sewnet A, 2016, INT J RIVER BASIN MA, V14, P133, DOI 10.1080/15715124.2015.1095199
   Shao Y, 2012, ISPRS J PHOTOGRAMM, V70, P78, DOI 10.1016/j.isprsjprs.2012.04.001
   Sharp R., 2018, INVEST 3 5 0 USER S
   Soytong P., 2016, INT J AGR TECHNOLOGY, V12, P1695, DOI DOI 10.1016/J.ANRES.2016.10.005
   Teferi E, 2013, AGR ECOSYST ENVIRON, V165, P98, DOI 10.1016/j.agee.2012.11.007
   Teklay A, 2019, CATENA, V172, P65, DOI 10.1016/j.catena.2018.08.013
   Turner W, 2015, BIOL CONSERV, V182, P173, DOI 10.1016/j.biocon.2014.11.048
   van Griensven A, 2012, HYDROL EARTH SYST SC, V16, P3371, DOI 10.5194/hess-16-3371-2012
   Vogl A. L., 2015, MANAGING CATCHMENTS
   Wessels KJ, 2007, J ARID ENVIRON, V68, P271, DOI 10.1016/j.jaridenv.2006.05.015
   Wubie MA., 2016, Environmental Systems Research, V5, P1, DOI [DOI 10.1186/S40068-016-0058-1, https://doi.org/10.1186/s40068-016-0058-1]
   Xu HQ, 2006, INT J REMOTE SENS, V27, P3025, DOI 10.1080/01431160600589179
   Yong B, 2010, WATER RESOUR RES, V46, DOI 10.1029/2009WR008965
   Yousefi S, 2015, ENVIRON MONIT ASSESS, V187, DOI 10.1007/s10661-015-4847-1
   Yuan F, 2005, REMOTE SENS ENVIRON, V98, P317, DOI 10.1016/j.rse.2005.08.006
   Zhang L, 2004, WATER RESOUR RES, V40, DOI 10.1029/2003WR002710
   Zhang LY, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0149663
NR 75
TC 28
Z9 29
U1 4
U2 50
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1085-3278
EI 1099-145X
J9 LAND DEGRAD DEV
JI Land Degrad. Dev.
PD SEP
PY 2020
VL 31
IS 15
BP 2168
EP 2184
DI 10.1002/ldr.3589
EA MAR 2020
PG 17
WC Environmental Sciences; Soil Science
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Agriculture
GA NP0WJ
UT WOS:000564540100001
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Hayashi, K
   Llorca, L
   Rustini, S
   Setyanto, P
   Zaini, Z
AF Hayashi, Keiichi
   Llorca, Lizzida
   Rustini, Sri
   Setyanto, Prihasto
   Zaini, Zulkifli
TI Reducing vulnerability of rainfed agriculture through seasonal climate
   predictions: A case study on the rainfed rice production in Southeast
   Asia
SO AGRICULTURAL SYSTEMS
LA English
DT Article
DE Climate change adaptation; Decision making; Drought stress; Dynamic
   cropping calendar; Food security
ID FED LOWLAND RICE; FORECASTS; YIELD; SIMULATION; BIAS
AB Rainfed rice production needs to contribute more to the current and future world food security due to the increasing competition for limited water supplies including irrigation water. However, it is vulnerable to climate variabilities and extremes hence the utilization of climate predictions is crucial. In this study, the predictive accuracy and applicability of a seasonal climate predictions (SINTEX-F) were evaluated for rainfed rice areas where climate uncertainties are main constraints for a stable and high production. Outputs from SINTEX-F such as daily rainfall, maximum and minimum air temperatures, and wind speed were tested for Indonesia and Lao PDR through the cumulative distribution function-based downscaling method (CDFDM), which is a simple, flexible and inexpensive bias reduction method through removing bias from the empirical cumulative distribution functions of the GCM outputs. The CDFDM outputs were compared with historical weather data. Obtained results showed that discrepancies between SINTEX-F and the historical weather data were significantly reduced through CDFDM for both sites. ORYZA, an ecophysiological rice growth model that simulate agroecological rice growth processes, was used to evaluate the applicability of the SINTEX-F for grain yield predictions. Obtained results from on-farm field validation showed that the predicted grain yield was close to the actual grain yield that was obtained through optimum sowing timing given by the predictions. A normalized root mean square error between predicted and actual grain yield showed satisfactory model fit in predictions. This implies that SINTEX-F was applicable for improving rainfed rice production through CDFDM. However, CDFDM has a limitation in orographic precipitation, the high-resolution daily weather data or a sophisticated special interpolation method should be considered in order to improve the representation of the geographical pattern for the parameters derived from CDFDM.
C1 [Hayashi, Keiichi; Llorca, Lizzida] Int Rice Res Inst, Los Banos 4031, Laguna, Philippines.
   [Hayashi, Keiichi] Japan Int Res Ctr Agr Sci, 1-1 Ohwashi, Tsukuba, Ibaraki 3058686, Japan.
   [Rustini, Sri] Cent Java Assessment Inst Agr Technol, Ungaran 50501, Central Java, Indonesia.
   [Setyanto, Prihasto] Indonesian Agr Environm Res Inst, Pati 59182, Central Java, Indonesia.
   [Zaini, Zulkifli] IRRI Indonesia Off, Bogor 59182, West Java, Indonesia.
C3 CGIAR; International Rice Research Institute (IRRI); Japan International
   Research Center for Agricultural Sciences; CGIAR; International Rice
   Research Institute (IRRI)
RP Hayashi, K (corresponding author), Japan Int Res Ctr Agr Sci, 1-1 Ohwashi, Tsukuba, Ibaraki 3058686, Japan.
EM k.hayashi@irri.org
FU Ministry of Agriculture, Forestry and Fisheries of Japan
FX This study was conducted through the IRRI-Japan collaborative research
   project funded by the Ministry of Agriculture, Forestry and Fisheries of
   Japan.
CR Abedullah P. S., 1998, PHILIPP J CROP SCI, V23, P159
   Allen R. G., 1998, FAO Irrigation and Drainage Paper
   Amien I., 2000, CHARACTERIZING UNDER, P145
   [Anonymous], 2001, ORYZA2000: Modeling lowland rice
   [Anonymous], 2013, Rice almanac, V4th
   [Anonymous], RAINFED LOWLAND RICE
   [Anonymous], NUTR MANAGEMENT RAIN
   Balai Besar Penelitian Padi (BP Padi), 2015, DESKR VAR UNGG BAR P
   Basnayake J., 2006, Rice in Laos, P349
   Boling A, 2004, FIELD CROP RES, V90, P351, DOI 10.1016/j.fcr.2004.04.005
   Boling AA, 2008, FIELD CROP RES, V106, P22, DOI 10.1016/j.fcr.2007.10.013
   Boling AA., 2016, ASIAN J AGR EXTENT E, V10, P1, DOI [10.9734/AJAEES/2016/25246, DOI 10.9734/AJAEES/2016/25246]
   Bouman BAM, 2006, AGR SYST, V87, P249, DOI 10.1016/j.agsy.2004.09.011
   BRISTOW KL, 1984, AGR FOREST METEOROL, V31, P159, DOI 10.1016/0168-1923(84)90017-0
   Cantelaube P, 2005, TELLUS A, V57, P476, DOI 10.1111/j.1600-0870.2005.00125.x
   Dobermann A., 2000, RICE NUTR DISORDERS
   Fayed T. B., 2015, Annals of Agricultural Science (Cairo), V60, P11
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fischer K.S., 2003, Breeding Rice for Drought-Prone Environments, P32
   Fukai S, 1999, FIELD CROP RES, V64, P51, DOI 10.1016/S0378-4290(99)00050-7
   Goswami BN, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL023216
   Hansen JW, 2009, AGR SYST, V101, P80, DOI 10.1016/j.agsy.2009.03.005
   Iizumi T, 2011, J GEOPHYS RES-ATMOS, V116, DOI 10.1029/2010JD014513
   Iizumi Toshichika, 2010, Journal of Agricultural Meteorology, V66, P131, DOI 10.2480/agrmet.66.2.5
   Ines AVM, 2006, AGR FOREST METEOROL, V138, P44, DOI 10.1016/j.agrformet.2006.03.009
   JAMIESON PD, 1991, FIELD CROP RES, V27, P337, DOI 10.1016/0378-4290(91)90040-3
   Lansigan FP, 2000, AGR ECOSYST ENVIRON, V82, P129, DOI 10.1016/S0167-8809(00)00222-X
   lizumi T., 2012, J GEOPHYS RES, V117
   LOAGUE K, 1991, Journal of Contaminant Hydrology, V7, P51, DOI 10.1016/0169-7722(91)90038-3
   Luo JJ, 2008, J CLIMATE, V21, P84, DOI 10.1175/2007JCLI1412.1
   Malherbe J, 2014, METEOROL APPL, V21, P733, DOI 10.1002/met.1402
   Marletto V, 2007, AGR FOREST METEOROL, V147, P71, DOI 10.1016/j.agrformet.2007.07.003
   Meza FJ, 2008, J APPL METEOROL CLIM, V47, P1269, DOI 10.1175/2007JAMC1540.1
   Murty KS., 1982, DROUGHT RESISTANCE C, P14
   Peng S, 1996, FIELD CROP RES, V47, P243, DOI 10.1016/0378-4290(96)00018-4
   Rosenberg N.J., 1983, Microclimate: The Biological Environment
   Roudier P, 2012, INT J CLIMATOL, V32, P759, DOI 10.1002/joc.2308
   Schiller J., 2006, RICE LAOS
   Semenov MA, 2007, CLIM RES, V34, P71, DOI 10.3354/cr034071
   STAR, 2014, Biometrics and Breeding Informatics
   Tuong To Phuc, 2000, Plant Production Science, V3, P164
   Walther BA, 2005, ECOGRAPHY, V28, P815, DOI 10.1111/j.2005.0906-7590.04112.x
   Wassmann R, 2009, ADV AGRON, V101, P59, DOI 10.1016/S0065-2113(08)00802-X
   Wihardjaka A, 1999, FIELD CROP RES, V64, P237, DOI 10.1016/S0378-4290(99)00045-3
NR 44
TC 33
Z9 34
U1 1
U2 26
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0308-521X
EI 1873-2267
J9 AGR SYST
JI Agric. Syst.
PD MAY
PY 2018
VL 162
BP 66
EP 76
DI 10.1016/j.agsy.2018.01.007
PG 11
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA GB1PK
UT WOS:000428822500008
OA hybrid
DA 2025-01-10
ER

PT S
AU Ghosh, A
AF Ghosh, Aditya
BA Ghosh, A
BF Ghosh, A
TI Warming World, Threatened Poor
SO SUSTAINABILITY CONFLICTS IN COASTAL INDIA: HAZARDS, CHANGING CLIMATE AND
   DEVELOPMENT DISCOURSES IN THE SUNDARBANS
SE Advances in Asian Human-Environmental Research
LA English
DT Article; Book Chapter
DE Human security; Resilience; Postcolonial; Political ecology; Subaltern
   sustainability
ID CLIMATE-CHANGE; SUSTAINABLE DEVELOPMENT; ENVIRONMENTAL-CHANGE; POLITICAL
   ECOLOGY; ADAPTATION; RESILIENCE; VULNERABILITY; EXPERIENCES; GOVERNANCE;
   KNOWLEDGE
AB Impacts of climate change are already disproportionately acute for the poor living across critically vulnerable environments. At the same time, sustainability of these fragile but resource-rich ecological systems - especially across postcolonial geographies that account for a much larger combined share of biodiversity on earth - has emerged as the central condition of development in the Anthropocene. In order to conserve these ecologies, neoliberalism and capitalism seem to aim at recolonizing them by creating technological and scientific markets; for example around climate change adaption, sustainable development, disaster risk reduction, ecosystem conservation, resilience governance, transformation, emission mitigation and alike. This, on the one hand, threatens to compromise development aspirations, restrict choices and denigrate freedom of the Postcolonial Other resulting in their resistance towards the ecological question. On the other hand, it creates a homogenous understanding of development that mirrors rationalities of economic growth avoiding ethical questions such as per capita consumption, wastes, carbon footprints and production--based emissions. From the perspectives of both theory and practice, reconciling development pathways across socio-ecologically vulnerable systems such as the Sundarbans towards sustainable futures thus appears a monumental challenge. Entanglements of the global with the local as well as those across scales and thresholds within the system further make it complex. Viewing and examining it through multiple lenses - by legitimizing diverse epistemologies, by narrating stories, by deconstructing the dominant, hegemonic discourses and co-creating theories from practices - may instead offer better alternatives. Political ecology can assist this task by identifying the underlying power asymmetries and how they manifest on the ground, while a strong postcolonial perspective can deconstruct these power struggles to their causal drivers. Along with, a rights-based framework from development studies can help internalize justice and equity in the sustainability regime.
C1 [Ghosh, Aditya] Heidelberg Univ, South Asia Inst, Heidelberg, Germany.
C3 Ruprecht Karls University Heidelberg
RP Ghosh, A (corresponding author), Heidelberg Univ, South Asia Inst, Heidelberg, Germany.
OI Ghosh, Aditya/0000-0001-8231-0261
CR Adger WN, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P1, DOI 10.1017/CBO9780511596667.002
   Adger WN, 2001, DEV CHANGE, V32, P681, DOI 10.1111/1467-7660.00222
   Agrawal A., 2005, Environmentality: technologies of government and the making of subjects, P6
   Ambrose-Oji B, 2010, ELGAR ORIG REF, P311
   Anand S, 2000, WORLD DEV, V28, P2029, DOI 10.1016/S0305-750X(00)00071-1
   [Anonymous], THESIS U TWENTE NL
   [Anonymous], CLIM CHANG
   [Anonymous], PUBL MOD LANG ASS AM
   [Anonymous], GREAT DERANGEMENT CH
   [Anonymous], MAKING SOCIAL PROTEC
   [Anonymous], 2007, A GHOSH
   [Anonymous], BUSH BASE FOREST FAR
   [Anonymous], INT SOC ASS RC24 MIN
   [Anonymous], 2004, CULTURE PUBLIC ACTIO
   [Anonymous], HORIZONTES ANTROPOLO
   [Anonymous], 2015, EC VALUATION TIGER R
   [Anonymous], 2003, HUMAN SECURITY NOW C
   [Anonymous], FORESTS PEOPLE POWER
   [Anonymous], 2010, DISTRICT HUMAN DEV R
   [Anonymous], 1971, A Theory of Justice, DOI DOI 10.4159/9780674042605
   [Anonymous], 2007, CLIMATE CHANGE 2007
   [Anonymous], 2013, POLITICS ACTUALLY EX
   [Anonymous], INT HAND BOOK ENV SO
   [Anonymous], 1999, Development as Freedom
   [Anonymous], BUILD RES SUST DEV S
   [Anonymous], 2004, LIBERATION ECOLOGIES
   [Anonymous], VARIETIES ENV
   [Anonymous], 1987, Our Common Future
   [Anonymous], 1993, QUALITY LIFE
   [Anonymous], RURAL EC
   [Anonymous], SUSTAINABILITY LIFE
   [Anonymous], 1992, English Text, DOI DOI 10.1075/Z.59
   [Anonymous], D21 VIEWPOINTS
   [Anonymous], GREENING GLOBAL REAC
   [Anonymous], 2012, LIVING CHANGING CLIM
   Appadurai Arjun., 2013, The Future as a Cultural Fact: Essays on the Global Condition
   Bahadur A, 2014, ENVIRON URBAN, V26, P200, DOI 10.1177/0956247814522154
   Bandy J, 1996, PUBLIC CULTURE, V8, P539, DOI 10.1215/08992363-8-3-539
   Banerjee SB, 2003, ORGAN STUD, V24, P143, DOI 10.1177/0170840603024001341
   Barnett J, 2007, POLIT GEOGR, V26, P639, DOI 10.1016/j.polgeo.2007.03.003
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Barrett CB, 2014, P NATL ACAD SCI USA, V111, P14625, DOI 10.1073/pnas.1320880111
   Bassett TJ, 2013, GEOFORUM, V48, P42, DOI 10.1016/j.geoforum.2013.04.010
   Bebbington A, 2004, PROG HUM GEOG, V28, P725, DOI 10.1191/0309132504ph516oa
   Black R, 2011, NATURE, V478, P447, DOI 10.1038/478477a
   Boyd E, 2015, AMBIO, V44, pS149, DOI 10.1007/s13280-014-0604-x
   Boyd E, 2009, DEV POLICY REV, V27, P659, DOI 10.1111/j.1467-7679.2009.00464.x
   Brown C., 2010, ETHICS INT AFF, V24, P309, DOI DOI 10.1111/J.1747-7093.2010.00269.X
   Brown K, 2014, PROG HUM GEOG, V38, P107, DOI [10.1177/0309132513498837, 10.1177/0361684313496549]
   Bryant RL, 1998, PROG PHYS GEOG, V22, P79, DOI 10.1191/030913398674890974
   Cannon T., 2008, Reducing people's vulnerability to natural hazards communities and resilience
   Cannon T, 2010, NAT HAZARDS, V55, P621, DOI 10.1007/s11069-010-9499-4
   Chambers R., 1992, SUSTAINABLE RURAL LI
   Chandler David., 2013, The Biopolitics of Development, P67
   Chatterjee N, 2015, J COASTAL SCI, V2, P54
   Connolly WilliamE., 2013, The Fragility of Things: Self-organizing Processes, Neoliberal Fantasies, and Democratic Activism
   COSTANZA R, 1992, CONSERV BIOL, V6, P37, DOI 10.1046/j.1523-1739.1992.610037.x
   Cote M, 2012, PROG HUM GEOG, V36, P475, DOI 10.1177/0309132511425708
   Danda A.A., 2011, Indian Sundarbans delta: a vision, P40
   DERMAN B, 1995, HUM ECOL, V23, P199, DOI 10.1007/BF01191649
   Dobson J, 2003, FINANC ANAL J, V59, P29, DOI 10.2469/faj.v59.n6.2572
   Dryzek JS., 2013, POLITICS EARTH ENV D
   Enzensberger H.-M., 1974, New left review, P3
   Eriksen S, 2011, CLIM DEV, V3, P7, DOI 10.3763/cdev.2010.0060
   Eriksen S, 2011, CLIM DEV, V3, P3, DOI 10.3763/cdev.2010.0064
   Escobar Arturo., 1995, POWER DEV, P211
   Fletcher L, 2011, ISL STUD J, V6, P3
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Folke C, 2010, ECOL SOC, V15
   Forster P, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P129
   Foucault M, 2008, MICHEL FOUCAULT-LECT, P1, DOI 10.1057/9780230594180
   Gardiner SM, 2010, WIRES CLIM CHANGE, V1, P54, DOI 10.1002/wcc.16
   Ghosh Aditya, 2015, Diversity-Basel, V7, P149, DOI 10.3390/d7020149
   Ghosh Amitav., 2004, THE HUNGRY TIDE
   Giddens A., 1994, LEFT RIGHT
   GRUHA R, 1989, PAST PRESENT, P141
   GUHA R, 1990, INDIAN ECON SOC HIST, V27, P65, DOI 10.1177/001946469002700103
   Harry S, 2013, LOCAL ECON, V28, P358, DOI 10.1177/0269094213476663
   HARVEY D, 1974, T I BRIT GEOGR, P18, DOI 10.2307/621527
   Hawley JohnC., 2005, Amitav Ghosh: An Introduction
   Hazra S., 2002, Sci. C, V68, P309
   Hulme M, 2010, THEOR CULT SOC, V27, P267, DOI 10.1177/0263276409358730
   Ingold Tim., 2011, The Perception of the Environment: Essays on Livelihood, Dwelling, and Skill
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Ireland P, 2013, GEOFORUM, V47, P158, DOI 10.1016/j.geoforum.2013.01.005
   Jacobs M., 1991, GREEN EC ENV SUSTAIN
   Jalais Annu., 2010, Forest of Tigers: People, Politics and Environment in the Sundarbans
   Janssen MA, 2006, GLOBAL ENVIRON CHANG, V16, P237, DOI 10.1016/j.gloenvcha.2006.04.003
   Jerneck A, 2008, CLIM POLICY, V8, P170, DOI 10.3763/cpol.2007.0434
   Kapoor I, 2004, THIRD WORLD Q, V25, P627, DOI 10.1080/01436590410001678898
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Kegan R., 2009, IMMUNITY CHANGE OVER
   Kelly PM, 2000, CLIMATIC CHANGE, V47, P325, DOI 10.1023/A:1005627828199
   Kesavan PC, 2006, PHILOS T R SOC A, V364, P2191, DOI 10.1098/rsta.2006.1822
   Kniveton D., 2009, Migration, Environment and Climate Change: Assessing the Evidence
   Kristjanson P, 2014, NAT CLIM CHANGE, V4, P5, DOI 10.1038/nclimate2080
   Latour B., 1991, We Have Never Been Modern
   Latour B., 1987, SCI ACTION FOLLOW SC
   Leach M., 2010, ENV SOCIAL JUSTICE
   Leach M., 2007, Understanding Governance: Pathways to Sustainability
   Lemos MC, 2007, ECOL SOC, V12
   Loucks C, 2010, CLIMATIC CHANGE, V98, P291, DOI 10.1007/s10584-009-9761-5
   MacKinnon D, 2013, PROG HUM GEOG, V37, P253, DOI 10.1177/0309132512454775
   Manuel-Navarrete D, 2010, ELGAR ORIG REF, P136
   Manuel-Navarrete D, 2011, GLOBAL ENVIRON CHANG, V21, P249, DOI 10.1016/j.gloenvcha.2010.09.009
   Maslow AH, 1943, PSYCHOL REV, V50, P370, DOI 10.1037/h0054346
   Matyas D, 2015, DISASTERS, V39, pS1, DOI 10.1111/disa.12107
   McGregor SueL.T., 2003, KAPPA OMICRON NU FOR, V15
   McLaughlin P, 2011, ORGAN ENVIRON, V24, P269, DOI 10.1177/1086026611419862
   Mignolo WalterD., 2006, European Journal of Social Theory, V9, P205, DOI DOI 10.1177/1368431006063333
   Nguyen MC, 2015, REV FAITH INT AFF, V13, P6, DOI 10.1080/15570274.2015.1075756
   Mitra A, 2009, CURR SCI INDIA, V97, P1445
   Moench M, 2014, DEV PRACT, V24, P447, DOI 10.1080/09614524.2014.909385
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Mukhopadhyay A., 2016, Living with Disasters: Communities and Development in the Indian Sundarbans, DOI [10.1017/CBO9781316227572, DOI 10.1017/CBO9781316227572]
   Nandy Ashis., 1983, The Intimate Enemy: Loss and Recovery of Self under Colonialism
   Nazrul-Islam A.K.M., 2003, Sustainable Environment, P126
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   O'Brien K., 2010, Climate change, ethics and human security
   O'Brien K, 2007, CLIM POLICY, V7, P73, DOI 10.1080/14693062.2007.9685639
   O'Brien K, 2012, PROG HUM GEOG, V36, P667, DOI 10.1177/0309132511425767
   O'Donnell Anna., 2015, Climate Change Adaptation and Social Resilience in the Sundarbans
   O'Neill SJ, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/1/014018
   Olsson LE, 2013, SOC INDIC RES, V111, P255, DOI 10.1007/s11205-012-0003-2
   Olsson P, 2004, ENVIRON MANAGE, V34, P75, DOI 10.1007/s00267-003-0101-7
   Osbahr H, 2008, GEOFORUM, V39, P1951, DOI 10.1016/j.geoforum.2008.07.010
   Page EA, 2006, CLIMATE CHANGE, JUSTICE AND FUTURE GENERATIONS, P1
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Pelling M., 2011, Coping with Global Environmental Change, Disasters and Security: Threats, Challenges, Vulnerabilities and Risks, Hexagon Series on Human and Environmental Security and Peace, P549, DOI [10.1007/978-3-642-17776-7_29, DOI 10.1007/978-3-642-17776-7_29]
   Pelling M, 2015, CLIMATIC CHANGE, V133, P113, DOI 10.1007/s10584-014-1303-0
   Pelling M, 2013, MEGACITIES AND THE COAST: RISK, RESILIENCE AND TRANSFORMATION, P200
   Pelling M, 2011, ENVIRON URBAN, V23, P383, DOI 10.1177/0956247811410012
   Pineda J., 2012, Theoretical and Practical Research in Economic Fields, V3, P71, DOI [10.2478/v10261-012-0006-1, DOI 10.2478/V10261-012-0006-1]
   Prell C, 2010, ECOL SOC, V15
   Raha A, 2012, BIODIVERS CONSERV, V21, P1289, DOI 10.1007/s10531-012-0260-z
   Ray M, 2014, ATLANTIC ECON J, V42, P305, DOI 10.1007/s11293-014-9424-4
   Ray R, 2011, ATMOS ENVIRON, V45, P5016, DOI 10.1016/j.atmosenv.2011.04.074
   Rudra K, 2014, GEOMORPHOLOGY, V227, P87, DOI 10.1016/j.geomorph.2014.05.013
   Sachs JD, 2006, SCIENCE, V312, P1002, DOI 10.1126/science.1124822
   Schipper L., 2009, The Earthscan reader on adaptation to climate change
   Schlosberg D, 2013, ENVIRON POLIT, V22, P37, DOI 10.1080/09644016.2013.755387
   Schlosberg D, 2012, ETHICAL ADAPTATION TO CLIMATE CHANGE: HUMAN VIRTUES OF THE FUTURE, P165
   Sen AK., 2010, IDEA JUSTICE
   Sen A, 2013, J HUM DEV CAPABIL, V14, P6, DOI 10.1080/19452829.2012.747492
   SEN Amartya., 1993, La calidad de vida, DOI DOI 10.1093/0198287976.003.0003
   Shackleton SE, 2012, INT J SUST DEV WORLD, V19, P275, DOI 10.1080/13504509.2011.641039
   Sharma M., 2007, PERSONAL PLANETARY T
   Shiva Vandana., 1991, Ecology and the Politics of Survival: Conflicts Over Natural Resources in India United Nations University Press
   Sidaway JD, 2007, PROG HUM GEOG, V31, P345, DOI 10.1177/0309132507077405
   Simon D, 2006, GEOGR J, V172, P10, DOI 10.1111/j.1475-4959.2006.00179.x
   Sivaramakrishnan K, 2000, AM ETHNOL, V27, P431, DOI 10.1525/ae.2000.27.2.431
   Sivaramakrishnan K, 2000, DEV CHANGE, V31, P61, DOI 10.1111/1467-7660.00147
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Snow CP., 1960, 2 CULTURES SCI REVOL
   Spivak G.C., 1988, ESSAYS CULTURAL POLI
   SPIVAK Gayatri Chakravorty, 1988, MARXISM INTERPRETATI, P271, DOI DOI 10.1007/978-1-349-19059-1_20
   Springett D, 2015, ROUT INT HANDB, P3
   Sylvester C, 1999, THIRD WORLD Q, V20, P703, DOI 10.1080/01436599913514
   Tanner T, 2008, IDS BULL-I DEV STUD, V39, P6
   Taylor M, 2015, ROUT EXPLOR DEV STUD, P1
   Thompson A, 2012, ETHICAL ADAPTATION TO CLIMATE CHANGE: HUMAN VIRTUES OF THE FUTURE, P1
   Tompkins EL, 2008, J ENVIRON MANAGE, V88, P1580, DOI 10.1016/j.jenvman.2007.07.025
   Tschakert P, 2012, GEOGR TIDSSKR-DEN, V112, P144, DOI 10.1080/00167223.2012.741889
   ul Haq Mahbub., 1995, REFLECTIONS HUMAN DE
   Vyas P., 2012, BIODIVERS CONSERV
   Wainwright J, 2010, ANN ASSOC AM GEOGR, V100, P983, DOI 10.1080/00045608.2010.502439
   Watts M.J., 2015, ROUTLEDGE HDB POLITI, P19
   Watts Michael., 2011, DIALOGUES HUM GEOGR, V1, P84, DOI DOI 10.1177/2043820610386340
   WATTS MJ, 1993, PROG HUM GEOG, V17, P257, DOI 10.1177/030913259301700210
   Westley FR, 2013, ECOL SOC, V18, DOI 10.5751/ES-05072-180327
   Whatmore S., 2002, HYBRID GEOGRAPHIES N
   White LA, 2013, ISLE-INTERDISCIP STU, V20, P513, DOI 10.1093/isle/ist051
   WILLERS B, 1994, CONSERV BIOL, V8, P1146, DOI 10.1046/j.1523-1739.1994.08041146.x
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Wisner B., 2004, Natural hazards, peoples vulnerability and disasters, P2
   Ziai Aram., 2007, EXPLORING POSTDEVELO
NR 176
TC 4
Z9 4
U1 0
U2 4
PU SPRINGER
PI NEW YORK
PA 233 SPRING STREET, NEW YORK, NY 10013, UNITED STATES
SN 1879-7180
EI 1879-7199
BN 978-3-319-63892-8; 978-3-319-63891-1
J9 ADV ASIAN HUM-ENV RE
PY 2018
BP 3
EP 33
DI 10.1007/978-3-319-63892-8_1
D2 10.1007/978-3-319-30512-7
PG 31
WC Area Studies; Green & Sustainable Science & Technology; Environmental
   Studies
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH)
SC Area Studies; Science & Technology - Other Topics; Environmental
   Sciences & Ecology
GA BL7IT
UT WOS:000455057000003
DA 2025-01-10
ER

PT J
AU Pisello, AL
   Rosso, F
   Castaldo, VL
   Piselli, C
   Fabiani, C
   Cotana, F
AF Pisello, A. L.
   Rosso, F.
   Castaldo, V. L.
   Piselli, C.
   Fabiani, C.
   Cotana, F.
TI The role of building occupants' education in their resilience to
   climate-change related events
SO ENERGY AND BUILDINGS
LA English
DT Article
DE Urban Heat Island; Heat waves; Urban resilience; Population
   vulnerability and awareness; Built environment; Climate change
   adaptation; Building occupant education
ID HEAT WAVES; ENERGY; MORTALITY; TEMPERATURE; VULNERABILITY; IMPACTS;
   CONSUMPTION; COMFORT; INCOME; CITIES
AB Urban climate change phenomena, exacerbated by increasingly frequent heat waves, represent an urgent environmental research issue to be further investigated and counteracted through multidisciplinary approaches covering both engineering and socio-environmental sciences. After acknowledging that Urban Heat Island hugely affects building thermal-energy behavior, recent contributions deal with its effect on vulnerable population groups in terms of their exposure risk to health diseases even worsened by energy poverty. In this view, the paper investigates the role played by occupants' education and their knowledge of environmental risks and climate change-related events, by exploring the opportunity to improve their information level as trigger for improving their climate change behavioral resilience and reducing their health risk in the built environment during extreme events. To this aim, a novel widespread questionnaire was elaborated and submitted to more than 300 individuals with varying their educational background and personal characteristics, seasonal period, submission mode, temporal closeness to heat wave emergency. Key findings showed that participants' educational background represents a clear way to drive environmentally aware behaviors minimizing the consequent health risk imputable to urban overheating and other environmental hazards such as heat waves. In fact, a higher level of awareness and consciousness may lead to a better adaptation capability to such climate change related hazards since they tend to implement conscious and resilient behavioral attitudes to minimize their indoor thermal stress at home (0.8 versus 1.4 points awareness level about mitigation strategies). Therefore, this paper demonstrated that informative campaigns may represent an effective strategy for making building occupants more resilient to climate change toward dedicated environmental management solutions and policies taking advantage of educational vehicles. (C) 2017 Elsevier B.V. All rights reserved.
C1 [Pisello, A. L.; Cotana, F.] Univ Perugia, Dept Engn, Via G Duranti 93, I-06125 Perugia, Italy.
   [Rosso, F.] Sapienza Univ Rome, DICEA, Via Eudossiana 18, I-00184 Rome, Italy.
   [Castaldo, V. L.; Piselli, C.; Fabiani, C.] Univ Perugia, CIRIAF Interuniv Res Ctr Pollut & Environm M Fell, Via G Duranti 63, I-06125 Perugia, Italy.
C3 University of Perugia; Sapienza University Rome; University of Perugia
RP Pisello, AL (corresponding author), Univ Perugia, Dept Engn, Via G Duranti 93, I-06125 Perugia, Italy.
EM pisello@crbnet.it; federica.rosso@uniroma1.it; castaldo@crbnet.it;
   piselli@crbnet.it; fabiani@crbnet.it; cotana@crbnet.it
RI Fabiani, Claudia/GZG-5184-2022; Rosso, Federica/AAL-3321-2020; Piselli,
   Cristina/AGL-4455-2022
OI CASTALDO, VERONICA LUCIA/0009-0006-8599-0577; Rosso,
   Federica/0000-0003-2151-3780; Piselli, Cristina/0000-0003-1856-3103;
   Fabiani, Claudia/0000-0001-9198-8162
FU UNESCO Chair "Water Resources Management and Culture"; H2CU; Honors
   Center of Italian Universities; Sapienza University of Rome
FX A.L. Pisello's acknowledgments are due to the UNESCO Chair "Water
   Resources Management and Culture", for supporting her research. This
   work was carried on also thanks to the support of H2CU, the Honors
   Center of Italian Universities, for the international scientific
   cooperation, and thanks to Sapienza University of Rome for funding
   starting grants to F. Rosso.
CR [Anonymous], RESOUR CONSERV RECYC
   [Anonymous], 2002, Off J Eur Union, P65, DOI [10.1039/ap9842100196, DOI 10.1039/AP9842100196]
   Austin PC, 2015, J CLIN EPIDEMIOL, V68, P627, DOI 10.1016/j.jclinepi.2014.12.014
   Bai L, 2014, ENVIRON RES, V132, P212, DOI 10.1016/j.envres.2014.04.002
   Bai L, 2014, SCI TOTAL ENVIRON, V485, P41, DOI 10.1016/j.scitotenv.2014.02.094
   Bekö G, 2010, BUILD ENVIRON, V45, P2289, DOI 10.1016/j.buildenv.2010.04.014
   Bekö G, 2011, BUILD ENVIRON, V46, P2230, DOI 10.1016/j.buildenv.2011.05.002
   Biesiot W, 1999, ECOL ECON, V28, P367, DOI 10.1016/S0921-8009(98)00113-X
   Boemi SN, 2017, ENERG BUILDINGS, V144, P167, DOI 10.1016/j.enbuild.2017.03.009
   Brody SD, 2008, ENVIRON BEHAV, V40, P72, DOI 10.1177/0013916506298800
   Cappa F, 2016, J ENVIRON MANAGE, V182, P374, DOI 10.1016/j.jenvman.2016.07.092
   Cappa F, 2015, ENERGY, V90, P1229, DOI 10.1016/j.energy.2015.06.092
   Cerezo F, 2013, INT J CLIN HLTH PSYC, V13, P171, DOI 10.1016/S1697-2600(13)70021-8
   Chang SC, 2015, INT REV ECON FINANC, V35, P28, DOI 10.1016/j.iref.2014.08.011
   Conti S, 2007, ENVIRON RES, V103, P267, DOI 10.1016/j.envres.2006.06.003
   de Hollander AEM, 2003, LANDSCAPE URBAN PLAN, V65, P55, DOI 10.1016/S0169-2046(02)00237-2
   Derkzen ML, 2017, LANDSCAPE URBAN PLAN, V157, P106, DOI 10.1016/j.landurbplan.2016.05.027
   Gao JH, 2015, SCI TOTAL ENVIRON, V505, P535, DOI 10.1016/j.scitotenv.2014.10.028
   Golasi I, 2016, ENERGIES, V9, DOI 10.3390/en9070550
   Gopal A, 2013, MANAGE SCI, V59, P2217, DOI 10.1287/mnsc.2013.1709
   Haines A, 2006, PUBLIC HEALTH, V120, P585, DOI 10.1016/j.puhe.2006.01.002
   Hatvani-Kovacs G, 2016, SUSTAIN CITIES SOC, V26, P278, DOI 10.1016/j.scs.2016.06.019
   Healy JD, 2002, APPL ENERG, V73, P329, DOI 10.1016/S0306-2619(02)00115-0
   Henze GP, 2007, ENERG BUILDINGS, V39, P221, DOI 10.1016/j.enbuild.2006.06.006
   Huebner GM, 2013, ENERG BUILDINGS, V66, P626, DOI 10.1016/j.enbuild.2013.07.043
   JACOBY J, 1971, J MARKETING RES, V8, P495, DOI 10.2307/3150242
   Kennedy EH, 2014, ENVIRON BEHAV, V46, P535, DOI 10.1177/0013916512474986
   Laut J, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0117013
   LEHMANN DR, 1972, J MARKETING RES, V9, P444, DOI 10.2307/3149313
   McCarthy MP, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL042845
   Nastasi B, 2015, ENRGY PROCED, V82, P944, DOI 10.1016/j.egypro.2015.11.847
   Parikh KS, 2016, ENERG POLICY, V97, P102, DOI 10.1016/j.enpol.2016.07.005
   Pisello A.L., 2016, KEY ENG MAT
   Pisello A.L., 2016, 4 INT C COUNT URB HE
   Quinn A, 2014, SCI TOTAL ENVIRON, V490, P686, DOI 10.1016/j.scitotenv.2014.05.039
   Rosso F, 2016, BUILD ENVIRON, V107, P198, DOI 10.1016/j.buildenv.2016.07.028
   Rosso F, 2014, SUSTAINABILITY-BASEL, V6, P5439, DOI 10.3390/su6085439
   Sakka A, 2012, ENERG BUILDINGS, V49, P69, DOI 10.1016/j.enbuild.2012.01.023
   Salata F, 2016, SUSTAIN CITIES SOC, V26, P318, DOI 10.1016/j.scs.2016.07.005
   Santamouris M, 2007, ENERG BUILDINGS, V39, P893, DOI 10.1016/j.enbuild.2006.11.001
   Santamouris M, 2015, ENERG BUILDINGS, V91, P43, DOI 10.1016/j.enbuild.2015.01.027
   Santamouris M, 2014, ENERG BUILDINGS, V70, P61, DOI 10.1016/j.enbuild.2013.11.074
   Santamouris M, 2015, SUSTAIN CITIES SOC, V19, P281, DOI 10.1016/j.scs.2015.02.001
   Scannell L, 2013, ENVIRON BEHAV, V45, P60, DOI 10.1177/0013916511421196
   Scopelliti M, 2016, LANDSCAPE URBAN PLAN, V148, P139, DOI 10.1016/j.landurbplan.2015.11.002
   Sung TI, 2013, SCI TOTAL ENVIRON, V442, P275, DOI 10.1016/j.scitotenv.2012.09.068
   Tobías A, 2012, SCI TOTAL ENVIRON, V439, P238, DOI 10.1016/j.scitotenv.2012.09.007
   Torgal FP, 2011, ECO-EFFICIENT CONSTRUCTION AND BUILDING MATERIALS, P1
   Tso GKF, 2003, ENERGY, V28, P1671, DOI 10.1016/S0360-5442(03)00153-1
   US EPA Environmental Protection Agency, HEAT ISL EFF
   Wang CC, 2014, SCI TOTAL ENVIRON, V466, P985, DOI 10.1016/j.scitotenv.2013.08.011
   Ward K, 2016, SCI TOTAL ENVIRON, V569, P527, DOI 10.1016/j.scitotenv.2016.06.119
   WBCSD, 2008, EN EFF BUILD FACTS T
   Weber S, 2015, APPL GEOGR, V63, P231, DOI 10.1016/j.apgeog.2015.07.006
   Wolch JR, 2014, LANDSCAPE URBAN PLAN, V125, P234, DOI 10.1016/j.landurbplan.2014.01.017
   Wolf T, 2013, WEATHER CLIM EXTREME, V1, P59, DOI 10.1016/j.wace.2013.07.004
   Young D, 2008, ENERG POLICY, V36, P34, DOI 10.1016/j.enpol.2007.09.011
   Zhou XD, 2014, SCI TOTAL ENVIRON, V493, P92, DOI 10.1016/j.scitotenv.2014.05.116
NR 58
TC 42
Z9 43
U1 4
U2 44
PU ELSEVIER SCIENCE SA
PI LAUSANNE
PA PO BOX 564, 1001 LAUSANNE, SWITZERLAND
SN 0378-7788
EI 1872-6178
J9 ENERG BUILDINGS
JI Energy Build.
PD NOV 1
PY 2017
VL 154
BP 217
EP 231
DI 10.1016/j.enbuild.2017.08.024
PG 15
WC Construction & Building Technology; Energy & Fuels; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Construction & Building Technology; Energy & Fuels; Engineering
GA FK6IN
UT WOS:000413607400019
DA 2025-01-10
ER

PT J
AU Wenger, C
AF Wenger, Caroline
TI The oak or the reed: how resilience theories are translated into
   disaster management policies
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE climate change adaptation; disasters; ecosystem-based approaches; flood
   management; levees; resilience
ID CLIMATE-CHANGE; HURRICANE-KATRINA; ADAPTATION; VULNERABILITY; METAPHOR;
   FLOOD
AB Although many researchers explore disaster resilience as an ongoing process or as a measurable property with indicators, few study whether disaster resilience policies are likely to lead to outcomes that are adaptive over the longer term. Some measures intended to increase local resilience may actually decrease the ability to cope with large-scale disasters. In the context of flood management, this work looks at activities supported in the name of resilience and whether they will result in long-term adaptive outcomes. It is proposed that the interpretation of "resilience" in emergency management has been influenced by pre-existing disaster management concepts, such as the prevent-prepare-respond-recover (PPRR) framework. These have not been adequately reassessed in the light of resilience theories. Disaster resilience was examined using the PPRR framework as a lens. With a focus on flooding, national disaster resilience policy documents from four countries and the global arena were studied to find out which activities were linked to resilience and whether this varies between countries. Subnational policies were also examined in areas that had recently experienced major flooding. Resilience interpretations in some countries were found to support resistance strategies while others were more accommodating. The continued development of floodplains, facilitated by structural mitigation, is an example of a highly resilient but maladaptive feedback loop. This results in risk accumulation and higher consequences during extreme floods. Research explores ways interventions could alter feedbacks and transform to more desirable resilience regimes. It is proposed that negotiating long-term adaptation pathways should be the ultimate aim for planners and emergency managers rather than resilience, which tends to support the status quo. Emergency management concepts and frameworks need to be amended in the light of resilience theories to make it easier to achieve adaptive outcomes.
C1 [Wenger, Caroline] Australian Natl Univ, Canberra, ACT, Australia.
   [Wenger, Caroline] Bushfire & Nat Hazards Cooperat Res Ctr, Melbourne, Vic, Australia.
C3 Australian National University; Bushfire & Natural Hazards CRC
RP Wenger, C (corresponding author), Australian Natl Univ, Canberra, ACT, Australia.; Wenger, C (corresponding author), Bushfire & Nat Hazards Cooperat Res Ctr, Melbourne, Vic, Australia.
FU Commonwealth of Australia through its Australian Postgraduate Award
   program; Commonwealth of Australia through its Bushfire; Natural Hazards
   Cooperative Research Centre program
FX This research was supported by the Commonwealth of Australia through its
   Australian Postgraduate Award program and the Bushfire and Natural
   Hazards Cooperative Research Centre program. I especially wish to thank
   Jamie Pittock, Steve Dovers, Katherine Daniell, and Michael Eburn for
   reviewing a draft of this paper. Thanks also to Clive Hilliker for
   graphics assistance; to Xuemei Bai for discussing the difficulties of
   translating "resilience" into Chinese, and to Lorrae Van Kerkhoff for
   feedback on methodology.
CR Abel N, 2011, ENVIRON SCI POLICY, V14, P279, DOI 10.1016/j.envsci.2010.12.002
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Aemi, 2013, Managing the floodplain: a guide to best practice in flood risk management in Australia-Handbook, V7
   Aldunce P, 2015, GLOBAL ENVIRON CHANG, V30, P1, DOI 10.1016/j.gloenvcha.2014.10.010
   Alexander DE, 2013, NAT HAZARD EARTH SYS, V13, P2707, DOI 10.5194/nhess-13-2707-2013
   [Anonymous], 2008, AUST J EMERG MANAG, V23, P21
   [Anonymous], 2007, HYOGO FRAMEWORK ACTI
   [Anonymous], COAST RISK RED RES
   [Anonymous], 2013, EX ORD PREP US IMP C
   [Anonymous], DAM LEV SAF COMM RES
   [Anonymous], 2011, NAT PREP GOAL
   [Anonymous], 2012, DIRENAT IMP
   [Anonymous], 2012, Queensland Floods Commission of Inquiry: Final Report
   [Anonymous], 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   [Anonymous], 2013, LIVING FLOODS KEY LE
   [Anonymous], 2008, WORK TOG WAT LIV LAN
   Baana P.J., 2004, INT J RIVER BASIN MA, V2, P113, DOI 10.1080/15715124.2004.9635226
   Barnett J, 2001, WORLD DEV, V29, P977, DOI 10.1016/S0305-750X(01)00022-5
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Bodin R., 2004, ESS B, V2, P33
   Bohensky EL, 2014, REG ENVIRON CHANGE, V14, P475, DOI 10.1007/s10113-013-0438-2
   Bruijn K. M. de, 2004, Water Policy, V6, P53
   Burby RJ, 2006, ANN AM ACAD POLIT SS, V604, P171, DOI 10.1177/0002716205284676
   Campanella TJ, 2006, J AM PLANN ASSOC, V72, P141, DOI 10.1080/01944360608976734
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Chelleri L., 2012, Multidisciplinary perspectives on urban resilience: a workshop report
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   City of New York (CNY), 2013, PLANYC STRONG MOR RE
   COAG, 2009, NAT PARTN AGR NAT DI
   Comrie N, 2011, REV 2010 11 FLOOD WA
   Council of Australian Governments (COAG), 2011, NAT STRAT DIS RES BU
   Cronstedt M., 2002, Australian Journal of Emergency Management, V17, P10
   Currie C., 2015, GAO REPORTS
   Cutter SL, 2014, GLOBAL ENVIRON CHANG, V29, P65, DOI 10.1016/j.gloenvcha.2014.08.005
   DHS, 2013, NIPP 2013 PARTN CRIT
   Elmqvist Thomas., 2014, SOLUTIONS, V5, P26, DOI DOI 10.1016/j.ecolind.2011.06.017
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Gordon A., 2004, FLOODPL MAN AUTH NSW
   Gunderson L, 2010, ECOL SOC, V15
   Handmer J., 1996, Organization Environment, V9, P482, DOI DOI 10.1177/108602669600900403
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Huitema D., 2002, REGGE RIVER BASIN CA
   Interagency Levee Policy Review Committee (ILPRC), 2006, NAT LEV CHALL LEV FE
   Kates RW, 2006, P NATL ACAD SCI USA, V103, P14653, DOI 10.1073/pnas.0605726103
   Keogh DU, 2011, NAT HAZARDS, V59, P699, DOI 10.1007/s11069-011-9791-y
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   London Regional Resilience Forum (LRRF), 2006, LOOK BACK MOV FORW M
   Manyena SB, 2011, LOCAL ENVIRON, V16, P417, DOI 10.1080/13549839.2011.583049
   Matyas D, 2015, DISASTERS, V39, pS1, DOI 10.1111/disa.12107
   Mc Aslan A., 2010, Community resilience: Understanding the concept and its application
   Mileti Dennis S., 1999, DISASTERS BY DESIGN
   Miller F, 2010, ECOL SOC, V15
   Netherlands Environmental Assessment Agency (NEAA, 2011, CLIM AD DUTCH DELT S
   Newell B., 2002, Conflict and cooperation related to International Water Resources: Historical perspectives
   NGA, 1979, COMPR EM MAN GOV GUI
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   People's Republic of China (PRC, 2015, ENH ACT CLIM CHANG C
   Pitt M., 2007, LEARNING LESSONS 200
   Pittock J, 2011, MAR FRESHWATER RES, V62, P312, DOI 10.1071/MF09302
   Prosser B, 2010, AUST J EMERG MANAG, V25, P8
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Queensland Reconstruction Authority (QRA), 2012, PLANN STRONG MOR R 2
   Reghezza-Zitt M, 2012, CYBERGEO, DOI 10.4000/cybergeo.25554
   Rogers P, 2011, AUST J EMERG MANAG, V26, P54
   Rohde RA, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0135749
   Russo T. N., 2000, US FEDERAL ENERGY RE
   Sellers E., 2012, 2012 FLOODPL MAN ASS
   Sjöstedt M, 2015, ECOL SOC, V20, DOI 10.5751/ES-08034-200423
   Smith D.I., 1998, Water in Australia: resources and management
   Stokes A., 2014, SUBMISSION 18 PRODUC
   Sudmeier-Rieux KI, 2014, DISASTER PREV MANAG, V23, P67, DOI 10.1108/DPM-12-2012-0143
   Thomas J., 2015, REIMAGINING NEW ORLE
   Tierney K, 2006, ON RISK AND DISASTER: LESSONS FROM HURRICANE KATRINA, P109
   Tockner Klement, 2008, P45, DOI 10.1017/CBO9780511751790.006
   TORRY WI, 1979, MASS EMERGENCIES, V4, P71
   UN, 2005, Report No.: Extract from the final report of the World Conference on Disaster Reduction (A/CONF.206/6)
   UNISDR, 2009, TERM DIS RISK RED UN
   UNISDR, 2015, GLOB ASS REP DIS RIS
   UNISDR (United Nations International Strategy for Disaster Reduction), 2015, Sendai Framework for Disaster Risk Reduction 2015-2030
   Vale LJ, 2014, BUILD RES INF, V42, P191, DOI 10.1080/09613218.2014.850602
   Walker B., 2004, Ecology and Society, V9, P5
   Wenger C, 2015, AUSTRALAS J WAT RESO, V19, P3, DOI 10.7158/W15-008.2015.19.1
   Wenger C., 2017, 251 BUSHF NAT HAZ CO
   Wenger C, 2015, ENVIRON REV, V23, P240, DOI 10.1139/er-2014-0060
   Western M., 2014, COASTAL SETTLEMENTS
   Wildavsky A., 1988, Searching for safety
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Wolsink M, 2006, GEOFORUM, V37, P473, DOI 10.1016/j.geoforum.2005.07.001
   Zebrowski C, 2013, RESILIENCE, V1, P159, DOI 10.1080/21693293.2013.804672
   Zevenbergen C, 2013, NAT HAZARDS, V65, P1217, DOI 10.1007/s11069-012-0439-3
NR 93
TC 25
Z9 29
U1 1
U2 33
PU RESILIENCE ALLIANCE
PI WOLFVILLE
PA ACADIA UNIV, BIOLOGY DEPT, WOLFVILLE, NS B0P 1X0, CANADA
SN 1708-3087
J9 ECOL SOC
JI Ecol. Soc.
PY 2017
VL 22
IS 3
AR 18
DI 10.5751/ES-09491-220318
PG 17
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA FJ7MV
UT WOS:000412944300027
OA gold
DA 2025-01-10
ER

PT J
AU Douxchamps, S
   Van Wijk, MT
   Silvestri, S
   Moussa, AS
   Quiros, C
   Ndour, NYB
   Buah, S
   Somé, L
   Herrero, M
   Kristjanson, P
   Ouedraogo, M
   Thornton, PK
   Van Asten, P
   Zougmoré, R
   Rufino, MC
AF Douxchamps, Sabine
   Van Wijk, Mark T.
   Silvestri, Silvia
   Moussa, Abdoulaye S.
   Quiros, Carlos
   Ndour, Ndeye Yacine B.
   Buah, Saaka
   Some, Leopold
   Herrero, Mario
   Kristjanson, Patricia
   Ouedraogo, Mathieu
   Thornton, Philip K.
   Van Asten, Piet
   Zougmore, Robert
   Rufino, Mariana C.
TI Linking agricultural adaptation strategies, food security and
   vulnerability: evidence from West Africa
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Adaptation strategies; Climate variability and change; Income; Land
   productivity; Market orientation; Typology
ID CLIMATE-CHANGE ADAPTATION; INCOME DIVERSIFICATION; TRANSFORMATIONAL
   ADAPTATION; SMALLHOLDER FARMERS; LIVESTOCK SYSTEMS; VARIABILITY;
   DETERMINANTS; UNCERTAINTY; HOUSEHOLDS; POVERTY
AB Adaptation strategies to reduce smallholder farmers' vulnerability to climate variability and seasonality are needed given the frequency of extreme weather events predicted to increase during the next decades in sub-Saharan Africa, particularly in West Africa. We explored the linkages between selected agricultural adaptation strategies (crop diversity, soil and water conservation, trees on farm, small ruminants, improved crop varieties, fertilizers), food security, farm household characteristics and farm productivity in three contrasting agro-ecological sites in West Africa (Burkina Faso, Ghana and Senegal). Differences in land area per capita and land productivity largely explained the variation in food security across sites. Based on land size and market orientation, four household types were distinguished (subsistence, diversified, extensive, intensified), with contrasting levels of food security and agricultural adaptation strategies. Income increased steadily with land size, and both income and land productivity increased with degree of market orientation. The adoption of agricultural adaptation strategies was widespread, although the intensity of practice varied across household types. Adaptation strategies improve the food security status of some households, but not all. Some strategies had a significant positive impact on land productivity, while others reduced vulnerability resulting in a more stable cash flow throughout the year. Our results show that for different household types, different adaptation strategies may be 'climate-smart'. The typology developed in this study gives a good entry point to analyse which practices should be targeted to which type of smallholder farmers, and quantifies the effect of adaptation options on household food security. Subsequently, it will be crucial to empower farmers to access, test and modify these adaptation options, if they were to achieve higher levels of food security.
C1 [Douxchamps, Sabine] CIFOR, ILRI, BP 9478, Ouagadougou 06, Burkina Faso.
   [Van Wijk, Mark T.; Silvestri, Silvia; Quiros, Carlos; Herrero, Mario; Rufino, Mariana C.] ILRI, POB 30790, Nairobi 00100, Kenya.
   [Moussa, Abdoulaye S.; Ouedraogo, Mathieu; Zougmore, Robert] Int Crops Res Inst Semi Arid Trop, BP 320, Bamako, Mali.
   [Ndour, Ndeye Yacine B.] ISRA, Dakar, Senegal.
   [Buah, Saaka] CSIR SARI, POB 494, Wa, Ghana.
   [Some, Leopold] INERA, Kaboinse, Burkina Faso.
   [Herrero, Mario] CSIRO, 306 Carmody Rd, St Lucia, Qld 4067, Australia.
   [Kristjanson, Patricia] World Agroforestry Ctr ICRAF, United Nations Ave,POB 30677, Nairobi 00100, Kenya.
   [Thornton, Philip K.] ILRI, Agr & Food Secur CCAFS, CGIAR Res Program Climate Change, POB 3079, Nairobi 00100, Kenya.
   [Van Asten, Piet] IITA, Kampala, Uganda.
   [Rufino, Mariana C.] Ctr Int Forestry Res CIFOR, POB 30677, Nairobi, Kenya.
C3 CGIAR; International Livestock Research Institute (ILRI); Center for
   International Forestry Research (CIFOR); CGIAR; International Livestock
   Research Institute (ILRI); CGIAR; International Crops Research Institute
   for the Semi-Arid-Tropics (ICRISAT); Commonwealth Scientific &
   Industrial Research Organisation (CSIRO); CGIAR; World Agroforestry
   (ICRAF); CGIAR; International Livestock Research Institute (ILRI);
   CGIAR; Center for International Forestry Research (CIFOR)
RP Douxchamps, S (corresponding author), CIFOR, ILRI, BP 9478, Ouagadougou 06, Burkina Faso.
EM s.douxchamps@cgiar.org; m.vanwijk@cgiar.org; s.silvestri@cgiar.org;
   a.s.moussa@cgiar.org; cquiros@qlands.com; yacinendourba@yahoo.fr;
   ssbuah@yahoo.com; bsomel@yahoo.fr; mario.herrero@csiro.au;
   p.kristjanson@cgiar.org; m.ouedraogo@cgiar.org; p.thornton@cgiar.org;
   p.vanasten@cgiar.org; r.zougmore@cgiar.org; m.rufino@cgiar.org
RI Thornton, Philip/AAB-8806-2020; Herrero, Mario/A-6678-2015; Rufino,
   Mariana/D-8380-2013
OI Herrero, Mario/0000-0002-7741-5090; Douxchamps,
   Sabine/0000-0002-5286-0753; van Wijk, Mark/0000-0003-0728-8839;
   Ouedraogo, Mathieu/0000-0001-6581-6287; Zougmore,
   Robert/0000-0002-6215-4852; Rufino, Mariana/0000-0003-4293-3290; van
   Asten, Piet/0000-0003-0584-3552
FU CGIAR Fund; AusAid; Danish International Development Agency; Environment
   Canada; Instituto de Investigacao Cientifica Tropical; Irish Aid;
   Netherlands Ministry of Foreign Affairs; Swiss Agency for Development
   and Cooperation; UK Aid; European Union
FX We warmly thank the 600 survey participants for their time and responses
   during the long hours of the interviews, and the 20 enumerators and data
   entry clerks who conducted the household survey in the three countries.
   We gratefully acknowledge the assistance in cleaning the data base by
   four students. CCAFS is funded by the CGIAR Fund, AusAid, Danish
   International Development Agency, Environment Canada, Instituto de
   Investigacao Cientifica Tropical, Irish Aid, Netherlands Ministry of
   Foreign Affairs, Swiss Agency for Development and Cooperation, UK Aid,
   and the European Union, with technical support from the International
   Fund for Agricultural Development.
CR Abdulai A, 2001, FOOD POLICY, V26, P437, DOI 10.1016/S0306-9192(01)00013-6
   Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Adger WN, 2005, CR GEOSCI, V337, P399, DOI 10.1016/j.crte.2004.11.004
   Akinnifesi F. K., 2008, Agricultural Journal, V3, P58
   Anderson M.J., 2004, CAP FORTRAN COMPUTER
   [Anonymous], CLIVAR EXCH
   [Anonymous], 5 CCFAS RES PROGR CL
   [Anonymous], MARK OR HOUS FOOD SE
   [Anonymous], 2013, CCAFS SITE ATLAS SER
   [Anonymous], DEV GENERIC TOOLS CH
   [Anonymous], FAO FOOD NUTR TECH R
   [Anonymous], 2009, GLOBAL ENVIRON CHANG, DOI DOI 10.1016/j.gloenvcha.2009.01.002
   [Anonymous], 2012, CPWF R4D WORKING PAP
   [Anonymous], IMPACTLITE SURVEYS
   [Anonymous], 2007, R: A Language and Environment for Statistical Computing
   Barbier B, 2009, ENVIRON MANAGE, V43, P790, DOI 10.1007/s00267-008-9237-9
   Barrett CB, 2001, FOOD POLICY, V26, P315, DOI 10.1016/S0306-9192(01)00014-8
   Battisti DS, 2009, SCIENCE, V323, P240, DOI 10.1126/science.1164363
   Beddington J., 2012, ACHIEVING FOOD SECUR
   BROWN LR, 1994, FOOD POLICY, V19, P568, DOI 10.1016/0306-9192(94)90048-5
   Brown ME, 2008, SCIENCE, V319, P580, DOI 10.1126/science.1154102
   Bryan E, 2013, J ENVIRON MANAGE, V114, P26, DOI 10.1016/j.jenvman.2012.10.036
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Carter MR, 2006, J DEV STUD, V42, P178, DOI 10.1080/00220380500405261
   Challinor A, 2007, CLIMATIC CHANGE, V83, P381, DOI 10.1007/s10584-007-9249-0
   Conway D, 2011, WIRES CLIM CHANGE, V2, P428, DOI 10.1002/wcc.115
   Cooper PJM, 2008, AGR ECOSYST ENVIRON, V126, P24, DOI 10.1016/j.agee.2008.01.007
   Downing T.E., 1997, MITIG ADAPT STRAT GL, V2, P19, DOI DOI 10.1007/BF02437055
   Dugue P., 1993, Cahiers ORSTOM, Serie Pedologie, V28, P385
   Ellis F, 2004, J DEV STUD, V40, P1, DOI 10.1080/00220380410001673175
   Ellis F., 2000, RURAL LIVELIHOODS DI, DOI DOI 10.1093/OSO/9780198296959.001.0001
   Forch W., 2011, INITIAL SITES CCAFS
   de Jalón SG, 2015, REG ENVIRON CHANGE, V15, P851, DOI 10.1007/s10113-014-0676-y
   Giller KE, 2011, AGR SYST, V104, P191, DOI 10.1016/j.agsy.2010.07.002
   Jarvis A, 2011, EXP AGR, V47, P185, DOI 10.1017/S0014479711000123
   Kamanga BCG, 2010, EXP AGR, V46, P1, DOI 10.1017/S0014479709990469
   Kassie M, 2014, WORLD DEV, V56, P153, DOI 10.1016/j.worlddev.2013.10.025
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Lasco RD, 2014, CURR OPIN ENV SUST, V6, P83, DOI 10.1016/j.cosust.2013.11.013
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   McDermott JJ, 2010, LIVEST SCI, V130, P95, DOI 10.1016/j.livsci.2010.02.014
   Mortimore MJ, 2001, GLOBAL ENVIRON CHANG, V11, P49, DOI 10.1016/S0959-3780(00)00044-3
   Njuki J., 2011, Gender, livestock and livelihood indicators
   REARDON T, 1992, J DEV STUD, V28, P264, DOI 10.1080/00220389208422232
   Rickards L, 2012, CROP PASTURE SCI, V63, P240, DOI 10.1071/CP11172
   Rockström J, 2002, PHYS CHEM EARTH, V27, P949, DOI 10.1016/S1474-7065(02)00098-0
   Rufino MC, 2013, AGR ECOSYST ENVIRON, V179, P215, DOI 10.1016/j.agee.2013.08.019
   Silvestri S, 2012, REG ENVIRON CHANGE, V12, P791, DOI 10.1007/s10113-012-0293-6
   Sissoko K, 2011, REG ENVIRON CHANGE, V11, pS119, DOI 10.1007/s10113-010-0164-y
   Thornton PK, 2014, GLOB FOOD SECUR-AGR, V3, P99, DOI 10.1016/j.gfs.2014.02.002
   Tittonell P, 2010, AGR SYST, V103, P83, DOI 10.1016/j.agsy.2009.10.001
   van de Giesen N, 2010, CURR SCI INDIA, V98, P1033
   van Noordwijk M, 1988, LEISA ILEIA NEWSLETT, V4, P8
   Vermeulen SJ, 2012, ENVIRON SCI POLICY, V15, P136, DOI 10.1016/j.envsci.2011.09.003
   Vermeulen SJ, 2013, P NATL ACAD SCI USA, V110, P8357, DOI 10.1073/pnas.1219441110
   Waithaka MM, 2006, AGR SYST, V90, P243, DOI 10.1016/j.agsy.2005.12.007
   Wood SA, 2014, GLOBAL ENVIRON CHANG, V25, P163, DOI 10.1016/j.gloenvcha.2013.12.011
   Wouterse F, 2008, WORLD DEV, V36, P625, DOI 10.1016/j.worlddev.2007.03.009
   ,, 2020, The state of food security and nutrition in the world 2020: transforming food systems for affordable healthy diets, DOI 10.4060/ca9692en
NR 59
TC 98
Z9 114
U1 1
U2 120
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD JUN
PY 2016
VL 16
IS 5
BP 1305
EP 1317
DI 10.1007/s10113-015-0838-6
PG 13
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA DM4JU
UT WOS:000376314400007
DA 2025-01-10
ER

PT J
AU Codjoe, SNA
   Owusu, G
   Burkett, V
AF Codjoe, Samuel Nii Ardey
   Owusu, George
   Burkett, Virginia
TI Perception, experience, and indigenous knowledge of climate change and
   variability: the case of Accra, a sub-Saharan African city
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Climate change; Climate variability; Perceptions; Indigenous knowledge;
   Urban; Experiences; Accra
ID MENTAL MODELS
AB Several recent international assessments have concluded that climate change has the potential to reverse the modest economic gains achieved in many developing countries over the past decade. The phenomenon of climate change threatens to worsen poverty or burden populations with additional hardships, especially in poor societies with weak infrastructure and economic well-being. The importance of the perceptions, experiences, and knowledge of indigenous peoples has gained prominence in discussions of climate change and adaptation in developing countries and among international development organizations. Efforts to evaluate the role of indigenous knowledge in adaptation planning, however, have largely focused on rural people and their agricultural livelihoods. This paper presents the results of a study that examines perceptions, experiences, and indigenous knowledge relating to climate change and variability in three communities of metropolitan Accra, which is the capital of Ghana. The study design is based on a three-part conceptual framework and interview process involving risk mapping, mental models, and individual stressor cognition. Most of the residents interviewed in the three communities of urban Accra attributed climate change to the combination of deforestation and the burning of firewood and rubbish. None of the residents associated climate change with fossil fuel emissions from developed countries. Numerous potential adaptation strategies were suggested by the residents, many of which have been used effectively during past drought and flood events. Results suggest that ethnic residential clustering as well as strong community bonds in metropolitan Accra have allowed various groups and long-settled communities to engage in the sharing and transmission of knowledge of weather patterns and trends. Understanding and building upon indigenous knowledge may enhance the design, acceptance, and implementation of climate change adaptation strategies in Accra and urban regions of other developing nations.
C1 [Codjoe, Samuel Nii Ardey] Univ Ghana, Reg Inst Populat Studies, Legon, Ghana.
   [Owusu, George] Univ Ghana, Inst Stat Social & Econ Res, Legon, Ghana.
   [Burkett, Virginia] US Geol Survey, Many, LA 71449 USA.
C3 University of Ghana; University of Ghana; United States Department of
   the Interior; United States Geological Survey
RP Codjoe, SNA (corresponding author), Univ Ghana, Reg Inst Populat Studies, POB LG 96, Legon, Ghana.
EM scodjoe@ug.edu.gh; gowusu@ug.edu.gh; virginia_burkett@usgs.gov
RI Owusu, George/AAI-3380-2020
OI Owusu, George/0000-0003-3859-5540
CR Afenah A., 2012, Urban Forum, V23, P527, DOI [DOI 10.1007/s12132-012-9155-z, 10.1007/s12132-012-9155-z, DOI 10.1007/S12132-012-9155-Z]
   Agyei-Mensah S, 2010, POPUL SPACE PLACE, V16, P499, DOI 10.1002/psp.551
   Alexander C, 2011, BIOSCIENCE, V61, P477, DOI 10.1525/bio.2011.61.6.10
   [Anonymous], CLIM CHANG ARC SUST
   [Anonymous], CLIMATE CHANGE 2007
   [Anonymous], 2009, GENDER WOMEN HOUSING
   [Anonymous], CLIM CHANGE
   [Anonymous], FAC OLD FAD AC UNPUB
   [Anonymous], 2011, Human Development Report
   [Anonymous], 2005, ARCTIC CLIMATE IMPAC
   [Anonymous], DEV CULTURAL STUDIES
   [Anonymous], THESIS PENNSYLVANIA
   [Anonymous], 2012, AFR STUD Q
   [Anonymous], INTEGRATED DISASTER
   [Anonymous], GHANA CLIMATE CHANGE
   [Anonymous], PAP NEW GUIN ISL AR
   [Anonymous], TECHNICAL PUBLICATIO
   [Anonymous], 2012, The 2010 Population and Housing Census, Post Enumeration Survey report
   [Anonymous], CLIM CHANGE
   [Anonymous], 2010, WHAT WILL IT TAK ACH
   [Anonymous], CLIMATE CHANGE AFRIC
   [Anonymous], OP M GLOB ENV MENT C
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Bates B.C., 2008, TECHNICAL PAPER INTE
   Bekker S., 2011, Capital cities in Africa: Power and powerlessness
   BOSTROM A, 1992, J SOC ISSUES, V48, P85, DOI 10.1111/j.1540-4560.1992.tb01946.x
   Briggs J., 2005, Progress in Development Studies, V5, P99, DOI DOI 10.1191/1464993405PS105OA
   Chang'a L.B., 2010, Journal of Geography and Regional Planning, V3, P66
   Cloke P, 1997, J RURAL STUD, V13, P367, DOI 10.1016/S0743-0167(97)00053-3
   Ford JD, 2012, AM J PUBLIC HEALTH, V102, P1260, DOI 10.2105/AJPH.2012.300752
   Green D, 2010, CLIMATIC CHANGE, V100, P239, DOI 10.1007/s10584-010-9804-y
   Green D, 2010, CLIMATIC CHANGE, V100, P337, DOI 10.1007/s10584-010-9803-z
   Henry R., 2002, Coping with Pregnancy Experiences of Adolescents in Ga Mashi, Accra
   IUCN, 2008, IND TRAD PEOPL CLIM
   Kalanda-Joshua M, 2011, PHYS CHEM EARTH, V36, P996, DOI 10.1016/j.pce.2011.08.001
   Kasanga K., 2001, J BERTRAND RUSSELL A, P1
   Morgan G., 2002, Risk Communication: A Mental Models Approach
   Nederveen PieterseJ., 2001, DEV THEORY DECONSTRU
   Nyong A., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P787, DOI 10.1007/s11027-007-9099-0
   Owusu G, 2009, GEOGR ANN B, V91B, P57, DOI 10.1111/j.1468-0467.2009.00306.x
   Owusu G, 2008, INT DEV PLANN REV, V30, P177, DOI 10.3828/idpr.30.2.5
   Potter R.B., 2014, The City in the Developing World
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Quinn CH, 2003, J ENVIRON MANAGE, V68, P111, DOI 10.1016/S0301-4797(03)00013-6
   Reid P, 2006, GLOBAL ENVIRON CHANG, V16, P195, DOI 10.1016/j.gloenvcha.2006.01.003
   Salick J., 2007, Tyndall Centre Publication
   Schneider SH, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P779
   Smith HA, 2012, WIRES CLIM CHANGE, V3, P467, DOI 10.1002/wcc.185
   Somorin O. A., 2010, African Journal of Environmental Science and Technology, V4, P903
   Speranza CI, 2010, CLIMATIC CHANGE, V100, P295, DOI 10.1007/s10584-009-9713-0
   Steinmetz George., 1999, State/Culture: State formation after the cultural turn
   Wohling M, 2009, ECOL SOC, V14
   Zaksek M, 2004, RISK ANAL, V24, P1503, DOI 10.1111/j.0272-4332.2004.00545.x
   Ziervogel G, 2004, CLIMATIC CHANGE, V65, P73, DOI 10.1023/B:CLIM.0000037492.18679.9e
NR 54
TC 84
Z9 90
U1 2
U2 81
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD FEB
PY 2014
VL 14
IS 1
SI SI
BP 369
EP 383
DI 10.1007/s10113-013-0500-0
PG 15
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA AD4ZV
UT WOS:000333261900030
DA 2025-01-10
ER

PT S
AU Tschakert, P
   Shaffer, LJ
AF Tschakert, Petra
   Shaffer, L. Jen
BE Sakai, S
   Umetsu, C
TI Ingredients for Social-Ecological Resilience, Poverty Traps, and
   Adaptive Social Protection in Semi-Arid Africa
SO SOCIAL-ECOLOGICAL SYSTEMS IN TRANSITION
SE Global Environmental Studies
LA English
DT Article; Book Chapter
DE Adaptive social protection; Anticipatory learning; Limits to adaptation;
   Poverty traps
ID ADAPTATION; LIVELIHOODS; STRATEGIES; FRAMEWORK; CAPACITY; BARRIERS;
   SYSTEMS
AB Resilience is much more than bouncing back after a shock. It also involves the ability of individuals, communities, and entire regions to self-organize and increase their capacity for learning, experimentation, and adaptation. In the context of climate change, a resilience perspective emphasizes learning from the past (memory), monitoring the present, and the ability to anticipate and prepare for the worst. It includes learning to live with change and uncertainty by combining different types of knowledge, envisioning possible futures, and enhancing flexibility in decision-making and planning. Rather than learning by shock, a resilience lens offers a potentially empowering arena for nurturing innovation and the capacity to transform in order to navigate both slow and incremental environmental changes and rapid-onset crises.
   This chapter explores the role and potential limits of iterative learning processes for climate change adaptation in rural African communities characterized by high and chronic poverty, coupled with low awareness for complex drivers of change. It stresses learning, memory, creativity, and the need to move forward in spite of imperfect knowledge and vast uncertainties. At the same time, the chapter identifies critical institutional, policy, and power barriers, and potential limits at multiple scales that inhibit just and timely adaptation among vulnerable and marginalized populations, especially those dependent on rainfed agriculture. We identify poverty traps as complex thresholds typified by shifts and losses of key household assets, increasing failure of livelihood response strategies to social and ecological stresses and shocks, ineffective social networks, and limited anticipatory capacity to embrace change, uncertainty, and surprises. We conclude by proposing adaptive social protection as a prospective yet potentially insufficient means for bypassing or escaping poverty traps in the semi-arid tropics of Africa, and facilitating transitions towards livelihood resilience.
C1 [Tschakert, Petra] Penn State Univ, Dept Geog, University Pk, PA 16802 USA.
   [Tschakert, Petra] Penn State Univ, Earth & Environm Syst Inst, University Pk, PA 16802 USA.
   [Shaffer, L. Jen] Univ Maryland, Dept Anthropol, College Pk, MD 20742 USA.
C3 Pennsylvania Commonwealth System of Higher Education (PCSHE);
   Pennsylvania State University; Pennsylvania State University -
   University Park; Pennsylvania Commonwealth System of Higher Education
   (PCSHE); Pennsylvania State University; Pennsylvania State University -
   University Park; University System of Maryland; University of Maryland
   College Park
RP Tschakert, P (corresponding author), Penn State Univ, Dept Geog, 322 Walker Bldg, University Pk, PA 16802 USA.
EM petra@psu.edu
RI Shaffer, L./J-2874-2017
OI Tschakert, Petra/0000-0002-4268-3378
CR Adato M, 2004, STAFF PAPER SERIES, V477
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Allison HE, 2004, ECOL SOC, V9
   [Anonymous], 2004, WORKING PAPER SERIES
   [Anonymous], 2007, FAMILIES HOUSEHOLDS
   [Anonymous], 320 IDS
   [Anonymous], 2007, CLIMATE CHANGE 2007
   Barrett C. B., 2005, Quarterly Journal of International Agriculture, V44, P37
   Barrett CB, 2006, ECON STUD INEQUAL SO, V1, P131
   Bebbington A, 1999, WORLD DEV, V27, P2021, DOI 10.1016/S0305-750X(99)00104-7
   Bhorat Haroon, 2006, POVERTY POLICY POSTA, P1
   Carpenter SR, 2008, ECOL SOC, V13
   Carter M, 1999, STAFF PAPER SERIES, V427
   Chapin FS, 2006, P NATL ACAD SCI USA, V103, P16637, DOI 10.1073/pnas.0606955103
   Dakos V, 2008, P NATL ACAD SCI USA, V105, P14308, DOI 10.1073/pnas.0802430105
   Davies M., 2009, Promoting pro-poor growth: Social protection -  oecd, P201, DOI 10.1111/j.2040-0209.2009.00320_2.x
   Devereux S, 2006, 232 IDS
   Drimie S, 2008, REPORT JOINT LEARNIN, P83
   Ellis Frank., 2009, Social Protection in Africa, DOI DOI 10.4337/9781848446014
   Enfors EI, 2008, ECOL SOC, V13
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Gunderson L.H., 2001, Panarchy: understanding transformations in human and natural systems
   Heltberg R, 2009, GLOBAL ENVIRON CHANG, V19, P89, DOI 10.1016/j.gloenvcha.2008.11.003
   IDS, 2009, LINK CLIM CHANG AD D
   Jones L, 2011, GLOBAL ENVIRON CHANG, V21, P1262, DOI 10.1016/j.gloenvcha.2011.06.002
   Moser S.C., 2009, IHDP update, P31
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   NETTING RM, 1989, HUM ECOL, V17, P299, DOI 10.1007/BF00889021
   O'Brien KL, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P164
   Peterson G, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P25
   Putnam R., 1999, BOWLING ALONE
   Ravera F, 2011, ECOL SOC, V16
   Sallu SM, 2010, ECOL SOC, V15
   Slater R., 2006, Ethiopia Productive Safety Net Programme (PSNP): Study on Policy, Programme and Institutional Linkages: Final Report
   Stern N, 2008, AM ECON REV, V98, P1, DOI 10.1257/aer.98.2.1
   STONE GD, 1984, J ANTHROPOL RES, V40, P90, DOI 10.1086/jar.40.1.3629692
   STONE GD, 1990, AM ANTHROPOL, V92, P7, DOI 10.1525/aa.1990.92.1.02a00010
   Stone GD, 1998, HUM ECOL, V26, P239, DOI 10.1023/A:1018718923793
   Tainter J., 1988, The collapse of complex societies
   Thornton TF, 2010, ENVIRON SOC, V1, P132, DOI 10.3167/ares.2010.010107
   Tschakert P, 2010, ECOL SOC, V15
NR 41
TC 5
Z9 8
U1 1
U2 25
PU SPRINGER-VERLAG TOKYO
PI TOKYO
PA 37-3, HONGO 3-CHOME BONKYO-KU, TOKYO, 113, JAPAN
SN 2192-6336
BN 978-4-431-54910-9; 978-4-431-54909-3
J9 GLOB ENVIRON STUD
PY 2014
BP 139
EP 156
DI 10.1007/978-4-431-54910-9_8
D2 10.1007/978-4-431-54910-9
PG 18
WC Ecology; Environmental Sciences
WE Book Citation Index – Science (BKCI-S)
SC Environmental Sciences & Ecology
GA BC2GY
UT WOS:000350900300009
DA 2025-01-10
ER

PT J
AU Gilvear, DJ
   Casas-Mulet, R
   Spray, CJ
AF Gilvear, David J.
   Casas-Mulet, Roser
   Spray, Chris J.
TI Trends and issues in delivery of integrated catchment scale river
   restoration: Lessons learned from a national river restoration survey
   within Scotland
SO RIVER RESEARCH AND APPLICATIONS
LA English
DT Article
DE drainage basin; river restoration; catchment management
ID CONSERVATION; PRIORITIES; QUALITY
AB This paper provides data on the changing character of river restoration within one country within a single policy and legislative framework. The information gathered was based on web searches, meetings and questionnaire responses with organizations and individuals working as environmental policy developers, stakeholders and practitioners of catchment management and river restoration. The paper utilizes this information to explore generic issues promoting and constraining a move to integrated catchment scale river restoration. Catchment scale river restoration was defined as any river restoration activity that singly, or in combination, restores natural catchment processes and a naturally functioning ecosystem and brings benefit or environmental services to the whole catchment and not just to the site of restoration.
   The river restoration project data compiled showed that the number of projects in Scotland is on a strong upward trajectory, but the number of catchment scale projects is still limited. The data also showed a trend towards a range of underpinning reasons for river restoration. Traditionally the reasons for river restoration in Scotland have been strongly fisheries focussed, with another key driver being biodiversity conservation. Sustainable flood management and climate change adaptation are seen as emerging drivers of river restoration. In terms of the individuals interviewed, most appreciated that river restoration can bring about multiple benefits and should be underpinned by a good understanding of catchment processes.
   Our overall assertion based on our study is that unless there is a fundamental paradigm shift, a change in the nature and level of funding for river restoration and a single organization is given overall authority to direct river restoration. 'business as usual' will continue and the benefits of catchment scale river restoration will be limited. Copyright (C) 2010 John Wiley & Sons, Ltd.
C1 [Gilvear, David J.; Casas-Mulet, Roser] Univ Stirling, Sch Biol & Environm Sci, Ctr River Ecosyst Sci, Stirling FK9 4LA, Scotland.
   [Spray, Chris J.] Univ Dundee, UNESCO Ctr Water Law Policy & Sci, Dundee DD1 4HN, Scotland.
C3 University of Stirling; University of Dundee
RP Gilvear, DJ (corresponding author), Univ Stirling, Sch Biol & Environm Sci, Ctr River Ecosyst Sci, Stirling FK9 4LA, Scotland.
EM djg1@stir.ac.uk
RI ; Casas-Mulet, Roser/D-4694-2015
OI Spray, Chris/0000-0001-8622-335X; Gilvear, David/0000-0003-3859-8290;
   Casas-Mulet, Roser/0000-0002-7139-8859
CR [Anonymous], 2008, Final report to Scottish Environment Protection Agency
   [Anonymous], RIV BAS MAN PLAN SCO
   Beechie T, 2008, N AM J FISH MANAGE, V28, P891, DOI 10.1577/M06-174.1
   Beechie TJ, 2009, FISH FISH SER, V31, P697, DOI 10.1007/978-1-4020-9210-7_33
   Cowie NR, 2000, RESTORATION WOODED L, P133
   Drennan W, 2007, HIGH LEVEL AUDIT PAR
   Dutton A, 2008, MAMMAL REV, V38, P205, DOI 10.1111/j.1365-2907.2008.00125.x
   Gilvear D, 1995, WILD RIVERS TECHNICA
   Gilvear DJ, 2002, SCI TOTAL ENVIRON, V294, P131, DOI 10.1016/S0048-9697(02)00060-8
   Hansen HO, 1995, RIVER RESTORATION DA
   Hillman M, 2005, PROG PHYS GEOG, V29, P50, DOI 10.1191/0309133305pp434ra
   Hughes J, 2009, LIVING LANDSCAPES EC
   Johnstonova A, 2005, SCOTTISH ENV LINK, V1, P1
   Kondolf GM, 2000, T AM FISH SOC, V129, P262, DOI 10.1577/1548-8659(2000)129<0262:ASSGQ>2.0.CO;2
   Maidstone CP, 2010, AQUAT CONSERV, V20, P82
   Natural England, 2009, PUTT 4 MILL WORTH SQ
   Newson MD, 2009, LAND WATER DEV, P448
   Nilsson C, 2007, ECOL SOC, V12
   Ormerod SJ, 2004, AQUAT CONSERV, V14, P543, DOI 10.1002/aqc.663
   Palmer MA, 2006, ISSUES SCI TECHNOL, V22, P40
   Parrott A, 2009, J FLOOD RISK MANAG, V2, P272, DOI 10.1111/j.1753-318X.2009.01044.x
   Parsons H, 2002, RIVER RES APPL, V18, P461, DOI 10.1002/rra.684
   Roni P, 2008, N AM J FISH MANAGE, V28, P856, DOI 10.1577/M06-169.1
   Rozdilsky ID, 2001, ECOL RES, V16, P983, DOI 10.1046/j.1440-1703.2001.00446.x
   RRC, 2005, REV CATCHM SCAL RIV
   Tockner K, 2002, ENVIRON CONSERV, V29, P308, DOI 10.1017/S037689290200022X
   Tweed Forum, 2008, ANN REV 2007 2008
   Werritty A, 1995, SNH REV
   Wharton G, 2007, J RIVER BASIN MANAGE
NR 29
TC 26
Z9 28
U1 5
U2 86
PU WILEY-BLACKWELL
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1535-1459
EI 1535-1467
J9 RIVER RES APPL
JI River Res. Appl.
PD FEB
PY 2012
VL 28
IS 2
BP 234
EP 246
DI 10.1002/rra.1437
PG 13
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA 882HS
UT WOS:000299555000008
DA 2025-01-10
ER

PT J
AU Savell, KRR
   Katz, DC
   Weaver, TD
   Auerbach, BM
AF Savell, Kristen R. R.
   Katz, David C.
   Weaver, Timothy D.
   Auerbach, Benjamin M.
TI Mixed models for the relationship between latitude, temperature, and
   human postcranial form
SO AMERICAN JOURNAL OF BIOLOGICAL ANTHROPOLOGY
LA English
DT Article
DE body size; evolution; latitude; limb length; mixed models
ID CLIMATIC ADAPTATION; BODY PROPORTIONS; EVOLUTION; WEIGHT; SHAPE;
   MIGRATION; SELECTION; PATTERNS; HISTORY; VARY
AB Objectives The global distribution of human body proportions has long been attributed to thermoregulatory adaptation to climate. However, latitude has been the most common proxy for climate across ecogeographic studies. If thermoregulation was driving post-cranial evolution, temperature should provide a better explanation for the morphological patterns observed than latitude, which encompasses temperature and other variables, as well as major events in human migration history. We investigate relationships between latitude, temperature, and postcranial form by distinguishing the strength of these potential selective factors from population structure. Materials & Methods Quantitative genetic multivariate mixed models were used to estimate morphological effects associated with latitude, minimum temperature, and maximum temperature using osteometric data from 31 globally distributed groups, geographically matched genetic data from 54 groups, and geographically matched temperature data. Results Dimensions reflecting body size (bi-iliac breadth/femoral head size) show independent evolutionary responses from limb lengths. In models including population history, only dimensions reflecting body size show evidence of response to directional selection. Model results indicate that selection in response to minimum temperature has shaped evolution in body breadth and femoral head size. Models for limb length evolution accounting for population history match results of prior studies, but do not indicate responses to temperature-driven directional selection. Conclusions This study highlights the importance of considering multiple potential sources of selection within a multivariate evolutionary model, demonstrating the possible synergistic effects of selective pressures. These results complicate the classic thermoregulatory model of human postcranial evolution and show that factors other than temperature may have shaped post-cranial evolution in humans.
C1 [Savell, Kristen R. R.] Sacred Heart Univ, Dept Biol, 5151 Pk Ave, Fairfield, CT 06825 USA.
   [Katz, David C.] Univ Calgary, McCaig Inst Bone & Joint Hlth, Calgary, AB, Canada.
   [Weaver, Timothy D.] Univ Calif Davis, Dept Anthropol, Davis, CA 95616 USA.
   [Auerbach, Benjamin M.] Univ Tennessee, Dept Anthropol, Knoxville, TN 37996 USA.
C3 Sacred Heart University; University of Calgary; University of California
   System; University of California Davis; University of Tennessee System;
   University of Tennessee Knoxville
RP Savell, KRR (corresponding author), Sacred Heart Univ, Dept Biol, 5151 Pk Ave, Fairfield, CT 06825 USA.
EM savellk@sacredheart.edu
RI Savell, Kristen/JDM-4300-2023; Auerbach, Benjamin/M-7096-2019
OI Savell, Kristen/0000-0002-0022-6283; Auerbach,
   Benjamin/0000-0002-3435-4427
CR [Anonymous], 2007, THESIS
   [Anonymous], 1928, ZWEITER BAND KRANIOL
   [Anonymous], 1877, Radical Review
   Auerbach BM, 2012, AM J PHYS ANTHROPOL, V149, P525, DOI 10.1002/ajpa.22154
   Auerbach BM, 2011, AM J PHYS ANTHROPOL, V144, P382, DOI 10.1002/ajpa.21418
   Auerbach BM, 2006, J HUM EVOL, V50, P203, DOI 10.1016/j.jhevol.2005.09.004
   Auerbach BM, 2004, AM J PHYS ANTHROPOL, V125, P331, DOI 10.1002/ajpa.20032
   Auerbach BM., 2010, Human Variation in the Americas: the integration of archaeology and biological anthropology, P172
   AUERBACH BM, 2004, GOLDMAN OSTEOMETRIC
   Bergmann KGLC., 1847, Gttinger Studien, V3, P595
   Betti L, 2015, AM J PHYS ANTHROPOL, V158, P132, DOI 10.1002/ajpa.22774
   Betti L, 2014, J HUM EVOL, V73, P64, DOI 10.1016/j.jhevol.2014.02.021
   Betti L, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0055909
   Betti L, 2012, HUM BIOL, V84, P139, DOI 10.3378/027.084.0203
   Cowgill LW, 2012, AM J PHYS ANTHROPOL, V148, P557, DOI 10.1002/ajpa.22072
   DeGiorgio M, 2009, P NATL ACAD SCI USA, V106, P16057, DOI 10.1073/pnas.0903341106
   Foster F, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0072269
   Hadfield JD, 2010, J EVOLUTION BIOL, V23, P494, DOI 10.1111/j.1420-9101.2009.01915.x
   HIERNAUX J, 1976, HUM BIOL, V48, P757
   HIERNAUX J, 1975, ANN HUM BIOL, V2, P3, DOI 10.1080/03014467500000511
   Holliday TW, 1997, J HUM EVOL, V32, P423, DOI 10.1006/jhev.1996.0111
   Holliday TW, 2001, AM J PHYS ANTHROPOL, V116, P26, DOI 10.1002/ajpa.1098
   Holliday TW, 1999, J HUM EVOL, V36, P549, DOI 10.1006/jhev.1998.0289
   Hunley KL, 2009, AM J PHYS ANTHROPOL, V139, P35, DOI 10.1002/ajpa.20932
   Katz DC, 2017, P NATL ACAD SCI USA, V114, P9050, DOI 10.1073/pnas.1702586114
   Katz DC, 2016, AM J PHYS ANTHROPOL, V160, P593, DOI 10.1002/ajpa.22896
   Katzmarzyk PT, 1998, AM J PHYS ANTHROPOL, V106, P483, DOI 10.1002/(SICI)1096-8644(199808)106:4<483::AID-AJPA4>3.3.CO;2-K
   Liu H, 2006, AM J HUM GENET, V79, P230, DOI 10.1086/505436
   Long JC, 2009, AM J PHYS ANTHROPOL, V139, P23, DOI 10.1002/ajpa.21011
   LYNCH M, 1991, EVOLUTION, V45, P1065, DOI [10.2307/2409716, 10.1111/j.1558-5646.1991.tb04375.x]
   MAYR E, 1956, EVOLUTION, V10, P105, DOI 10.1111/j.1558-5646.1956.tb02836.x
   MENDILLO M, 1992, PLANET SPACE SCI, V40, P595, DOI 10.1016/0032-0633(92)90001-5
   Payne S, 2018, AM J PHYS ANTHROPOL, V166, P803, DOI 10.1002/ajpa.23469
   Pemberton TJ, 2013, G3-GENES GENOM GENET, V3, P891, DOI 10.1534/g3.113.005728
   PHENICE TW, 1969, AM J PHYS ANTHROPOL, V30, P297, DOI 10.1002/ajpa.1330300214
   Pomeroy E, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-020-79501-w
   Ramachandran S, 2005, P NATL ACAD SCI USA, V102, P15942, DOI 10.1073/pnas.0507611102
   Reyes-Centeno H, 2015, J HUM EVOL, V87, P95, DOI 10.1016/j.jhevol.2015.06.008
   Roberts DF, 1953, AM J PHYS ANTHROP-NE, V11, P533, DOI 10.1002/ajpa.1330110404
   Roberts D.F., 1978, CLIMATE HUMAN VARIAB, VSecond
   Roseman CC, 2015, J HUM EVOL, V78, P80, DOI 10.1016/j.jhevol.2014.07.006
   RUFF CB, 1991, J HUM EVOL, V21, P81, DOI 10.1016/0047-2484(91)90001-C
   RUFF CB, 1991, AM J PHYS ANTHROPOL, V86, P397, DOI 10.1002/ajpa.1330860306
   Ruff Christopher B., 1994, Yearbook of Physical Anthropology, V37, P65
   Runcie DE, 2013, GENETICS, V194, P753, DOI 10.1534/genetics.113.151217
   Salkeld DJ, 2008, ECOGRAPHY, V31, P538, DOI 10.1111/j.0906-7590.2008.05414.x
   Savell KRR, 2020, AM J PHYS ANTHROPOL, V172, P110, DOI 10.1002/ajpa.24004
   Savell KRR, 2016, P NATL ACAD SCI USA, V113, P9492, DOI 10.1073/pnas.1603632113
   Schoech SJ, 2007, J ORNITHOL, V148, pS625, DOI 10.1007/s10336-007-0177-6
   SCHOLANDER PF, 1955, EVOLUTION, V9, P15, DOI 10.2307/2405354
   SCHOLANDER PF, 1956, EVOLUTION, V10, P339, DOI 10.1111/j.1558-5646.1956.tb02859.x
   STINSON S, 1990, AM J HUM BIOL, V2, P37, DOI 10.1002/ajhb.1310020105
   Stock JT, 2006, AM J PHYS ANTHROPOL, V131, P194, DOI 10.1002/ajpa.20398
   Temple DH, 2008, AM J PHYS ANTHROPOL, V137, P164, DOI 10.1002/ajpa.20853
   Tilkens MJ, 2007, J HUM EVOL, V53, P286, DOI 10.1016/j.jhevol.2007.04.005
   Trinkaus Erik., 1981, ASPECTS HUMAN EVOLUT, P187
   von Cramon-Taubadel N, 2014, J ANTHROPOL SCI, V92, P43, DOI [10.4436/jass.91010, 10.4436/JASS.91010]
   Weaver TD, 2016, P NATL ACAD SCI USA, V113, P6472, DOI 10.1073/pnas.1523677113
   Wells JCK, 2002, AM J PHYS ANTHROPOL, V119, P276, DOI 10.1002/ajpa.10137
   Wells JCK, 2012, AM J PHYS ANTHROPOL, V147, P169, DOI 10.1002/ajpa.21591
NR 60
TC 4
Z9 5
U1 0
U2 6
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 2692-7691
J9 AM J BIOL ANTHROPOL
JI Am. J. Biol. Anthropol.
PD NOV
PY 2022
VL 179
IS 3
BP 431
EP 443
DI 10.1002/ajpa.24586
EA JUL 2022
PG 13
WC Anthropology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Anthropology; Evolutionary Biology
GA 5J0JH
UT WOS:000821015800001
DA 2025-01-10
ER

PT J
AU Lawlor, P
   Cooper, JAG
AF Lawlor, Paul
   Cooper, J. A. G.
TI Analysis of contemporary climate adaptation policies in Ireland and
   their application to the coastal zone
SO OCEAN & COASTAL MANAGEMENT
LA English
DT Article
DE Climate change; Ireland; Monitoring &amp; evaluating climate adaptation;
   measures; Coastal areas; EU adaptation preparedness scorecard
AB Global climate change presents a range of impacts on Ireland's economy and society with particular challenges facing coastal areas. The need to adapt to these risks is considered both urgent and essential and the policy framework has evolved to meet these challenges with the adoption of climate action legislation and a National Adaptation Framework (NAF) to facilitate the transition to a climate-resilient economy and society by 2050. This paper briefly reviews the European and Irish government policy context for sectoral climate adaptation before reviewing and classifying the sectoral policy measures introduced to reduce vulnerabilities to climate change impacts. While the analysis reveals that progress has been made by adopting climate action legislation and by developing a suite of climate action focussed plans, it also demonstrates that the policy measures included in the Sectoral Adaptation Plans to reduce climate change vulnerabilities are limited in number and lacking in effectiveness. Furthermore, their application to cross-cutting themes, exemplified by the coast, is inadequate to deal with the practical climate change issues. These findings indicate that Ireland is at a preliminary stage when assessed according to the EU adaptation preparedness scorecard.
C1 [Lawlor, Paul] Technol Univ Dublin, Sch Architecture Bldg & Environm, Dublin, Ireland.
   [Cooper, J. A. G.] Ulster Univ, Univ KwaZulu Natal, Sch Geog & Environm Sci, Dept Geol Sci, Coleraine, North Ireland.
C3 Ulster University
RP Lawlor, P (corresponding author), Technol Univ Dublin, Sch Architecture Bldg & Environm, Dublin, Ireland.
EM paul.lawlor@tudublin.ie; jag.cooper@ulster.ac.uk
RI Cooper, Andrew/AAH-4251-2020
OI Cooper, Andrew/0000-0003-4972-8812
CR Allen M., 2018, GLOBAL WARMING 15 C, P49, DOI [10.1017/9781009157940.003, DOI 10.1017/9781009157940.003]
   [Anonymous], 2013, An EU Strategy on adaptation to climate change. Communication from the Commission to the European Parliament, the Council
   [Anonymous], 2021, Forging a climate-resilient Europe - the new EU Strategy on Adaptation to Climate Change
   [Anonymous], 2019, Climate Action Plan 2019: to Tackle Climate Breakdown
   Climate Change Advisory Council, 2022, Annual Review 2022
   Department of Communications Climate Action and Environment, 2021, Climate Action Plan 2021 Securing Our Future
   Department of Communications Climate Action & Environment, 2018, National Adaptation Framework, Planning for a Climate Resilient Ireland
   Department of Communications Climate Action & Environment, 2018, Sectoral Planning Guidelines for Climate Change Adaptation
   Department of Health, 2019, Health Climate Change Sectoral Adaptation Plan 2019-2024
   Department of the Taoiseach, 2024, National Risk Assessment 2024; Overview of Strategic Risks
   Dupuis J, 2013, GLOBAL ENVIRON CHANG, V23, P1476, DOI 10.1016/j.gloenvcha.2013.07.022
   European Commission, 2018, SWD (2018) 461 final, P130
   Farrell J., 2023, EPA Research Report No. 429, P9
   Mimura N, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P869
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Stephen Flood, 2020, EPA Research Report No. 346
   Tompkins EL, 2010, GLOBAL ENVIRON CHANG, V20, P627, DOI 10.1016/j.gloenvcha.2010.05.001
   ,, 2017, EEA Report
NR 18
TC 0
Z9 0
U1 1
U2 1
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0964-5691
EI 1873-524X
J9 OCEAN COAST MANAGE
JI Ocean Coastal Manage.
PD DEC 1
PY 2024
VL 259
AR 107404
DI 10.1016/j.ocecoaman.2024.107404
EA OCT 2024
PG 14
WC Oceanography; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Oceanography; Water Resources
GA K8J5P
UT WOS:001346303500001
DA 2025-01-10
ER

PT J
AU Pritchard, B
   Sekher, M
   Maitra, C
   Nandgaye, V
AF Pritchard, Bill
   Sekher, Madhushree
   Maitra, Chandana
   Nandgaye, Vicky
TI Do climate adaptation programmes potentially exacerbate rural
   inequality? Identifying beneficiaries of a drought mitigation scheme in
   Maharashtra, India
SO CLIMATE AND DEVELOPMENT
LA English
DT Article; Early Access
ID HOUSEHOLD FOOD SECURITY; VULNERABILITY; LIVELIHOODS; AGENDA; IMPACT
AB The adverse implications of climate change can exacerbate socially uneven distributions of vulnerability. Therefore, climate adaptation programs are maladaptive if benefits are captured by privileged social groups, contributing to heightened socio-economic inequality and leaving the plight of highly vulnerable population segments unaddressed. This paper examines this potential using the case of Birsa Munda Krishi Kranti Yojana, an irrigation subsidy program for Scheduled Tribe farmers administered by the Government of Maharashtra, India. We investigated this scheme in Talasari block, an impoverished rural sub-administrative area 135 km north of Mumbai. The research shows that benefits from the scheme tended to flow towards more well-off agricultural households, notwithstanding checks-and-balances within the program that sought to prioritise the needs of poorer farmers. In turn, these distributional effects contributed to intensified agrarian class stratification by providing more well-off farmers with enhanced capabilities to respond to climate stresses, shedding important conceptual insights into the interplay of climate change and government policy for class mobility within smallholder and tribal populations. The evidence from this paper highlights the imperative for inclusive agricultural development and raises questions about agricultural subsidy programs as policy levers to address climate adaptation.
C1 [Pritchard, Bill] Univ Sydney, Fac Sci, Sch Geosci, Sydney, NSW 2006, Australia.
   [Sekher, Madhushree; Nandgaye, Vicky] Tata Inst Social Sci, Mumbai, India.
   [Maitra, Chandana] Univ Sydney, Fac Arts & Social Sci, Sch Econ, Sydney, Australia.
C3 University of Sydney; Tata Institute of Social Sciences; University of
   Sydney
RP Pritchard, B (corresponding author), Univ Sydney, Fac Sci, Sch Geosci, Sydney, NSW 2006, Australia.
EM bill.pritchard@sydney.edu.au
FU Office of Global Engagement, The University of Sydney
FX This work was supported by Office of Global Engagement, The University
   of Sydney.
CR Adhav C.A., 2021, SOCIO EC VULNERABILI
   Akram-Lodhi AH, 2008, DEV CHANGE, V39, P1145, DOI 10.1111/j.1467-7660.2008.00511.x
   [Anonymous], 2010, The political economy of Africa, DOI DOI 10.4324/9780203854228
   Auci Sabrina, 2018, International Journal of Environmental Studies, V75, P913, DOI 10.1080/00207233.2018.1475914
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Bartlett VL, 2024, BMJ MED, V3, DOI 10.1136/bmjmed-2023-000627
   Bernstein H., 2010, Class Dynamics of Agrarian Change
   Bernstein H, 2006, NEW POLIT ECON, V11, P399, DOI 10.1080/13563460600841033
   Bernstein Henry., 2003, Transformation, V52, P1, DOI DOI 10.1353/TRN.2003.0027
   Birkmann J, 2022, SCI TOTAL ENVIRON, V803, DOI 10.1016/j.scitotenv.2021.150065
   Blakeslee D, 2020, AM ECON REV, V110, P200, DOI 10.1257/aer.20180976
   Byerlee D., 2007, World development report 2008: Agriculture for development
   Census India, 2011, Talasari Taluka Population
   Central Ground Water Board, 2022, Aquifer Mapping and Management of Ground Water Resources: Palghar District
   Christiaensen L, 2011, J DEV ECON, V96, P239, DOI 10.1016/j.jdeveco.2010.10.006
   Clement F, 2021, GEOFORUM, V126, P68, DOI 10.1016/j.geoforum.2021.07.016
   Coates J AS, 2007, Household food insecurity access scale (HFIAS) for measurement of household food access: indicator guide, V3, DOI DOI 10.1037/E576842013-001
   Coirolo C, 2014, CLIM DEV, V6, P336, DOI 10.1080/17565529.2014.934774
   Cousins B., 2009, Working Paper 16
   Cousins B, 2013, J AGRAR CHANGE, V13, P116, DOI 10.1111/joac.12000
   Dagdeviren H, 2021, J ENVIRON MANAGE, V299, DOI 10.1016/j.jenvman.2021.113555
   Dalvi S, 2000, ECON POLIT WEEKLY, V35, P2843
   Dhak S. M., 2021, International Journal for Research in Applied Science Engineering Technology, V9, P238, DOI [http://doi.org/10.22214/ijraset.2021.38790, DOI 10.22214/IJRASET.2021.38790]
   Dhanagare D. N., 2015, Populism and power: Farmers movement in Western India, 19802014
   Dorward A, 2004, WORLD DEV, V32, P73, DOI 10.1016/j.worlddev.2003.06.012
   Eriksen S, 2021, WORLD DEV, V141, DOI 10.1016/j.worlddev.2020.105383
   Eriksen S, 2011, CLIM DEV, V3, P7, DOI 10.3763/cdev.2010.0060
   Fibæk MM, 2021, J AGRAR CHANGE, V21, P747, DOI 10.1111/joac.12439
   Gardezi M, 2022, WIRES CLIM CHANGE, V13, DOI 10.1002/wcc.755
   George A, 2023, ASIA-PAC J REG SCI, V7, P1329, DOI 10.1007/s41685-023-00311-9
   Ghosh S, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0212560
   Government of Maharashtra, Birsa Munda Krishi Kranti Yojana
   Heredia R. C., 2000, Economic and Political Weekly, V35, P4428, DOI [http://doi.org/10.2307/4410060, DOI 10.2307/4410060]
   Horlings J, 2020, CLIM DEV, V12, P521, DOI 10.1080/17565529.2019.1645637
   Intergovernmental Panel on Climate Change (IPCC), 2023, Poverty, livelihoods and sustainable development, in climate change 2022 impacts, adaptation and vulnerability: Working group II contribution to the sixth assessment report of the intergovernmental panel on climate change, P1171, DOI [https://doi.org/10.1017/9781009325844.010, DOI 10.1017/9781009325844.010]
   Jha SK, 2017, J RURAL STUD, V51, P151, DOI 10.1016/j.jrurstud.2017.02.013
   Khan S., 2015, Review of Agrarian Studies, V5, DOI [http://doi.org/10.22004/ag.econ.308463, DOI 10.22004/AG.ECON.308463]
   Khan S., 2023, Society and Culture in South Asia, V9, P7, DOI [https://doi.org/10.1177/23938617221076175, DOI 10.1177/23938617221076175]
   Kokane P., 2019, Indian Journal of Spatial Science, V10, P31
   Kuchimanchi BR, 2019, CLIM DEV, V11, P918, DOI 10.1080/17565529.2019.1593815
   Lahiff E., 2000, African enclosures? The social dynamics of wetlands in drylands, P155
   Mahabhartiyojana, 2022, Birsa Munda Krishi Kranti Yojana
   Matthan T, 2023, J PEASANT STUD, V50, P114, DOI 10.1080/03066150.2022.2116316
   Mohanty Abinash, 2021, Mapping India's Climate Vulnerability-A District Level Assessment
   National Informatics Centre, 2023, District-wise Distribution of Number & Area of Operational Holdings by Size Class/Size Group
   Noy I, 2020, CONTEMP SOUTH ASIA, V28, P374, DOI 10.1080/09584935.2020.1801579
   OECD, 2011, Divided We Stand: Why Inequality Keeps Rising
   Ostrom E., 1992, CRAFTING I SELF GOVE
   Osumanu I. K., 2022, The Routledge Handbook on Livelihoods in the Global South, P481
   Patil R., 2020, Tribal development in India, DOI [10.4135/9789354791710, DOI 10.4135/9789354791710]
   Prasad P, 2023, WATER POLICY, DOI 10.2166/wp.2023.036
   Pritchard B, 2019, J RURAL STUD, V67, P89, DOI 10.1016/j.jrurstud.2019.02.017
   Pritchard B, 2017, GEOGR RES-AUST, V55, P180, DOI 10.1111/1745-5871.12199
   Ramakumar R, 2023, J AGRAR CHANGE, V23, P729, DOI 10.1111/joac.12556
   Revenue Department, 1884, Revenue department volumes 18241943
   SALDANHA IM, 1986, ECON POLIT WEEKLY, V21, pWS41
   Santha S. D., 2018, Climate justice, capabilities and sustainable livelihoods from: The Routledge handbook of green social work, DOI [https://doi.org/10.4324/9781315183213-23, DOI 10.4324/9781315183213-23]
   Sassi M, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15032026
   Schoneveld GC, 2019, GLOBAL ENVIRON CHANG, V57, DOI 10.1016/j.gloenvcha.2019.101933
   Scoville-Simonds M, 2020, WORLD DEV, V125, DOI 10.1016/j.worlddev.2019.104683
   Shah A., 2018, Ground down by growth: Tribe, caste, class and inequality in twenty-first-century India
   Shah G., 1979, Economic Political Weekly, V14, P459
   Shah SH, 2021, WATER ALTERN, V14, P573
   Sharma V, 2014, DEV PRACT, V24, P591, DOI 10.1080/09614524.2014.911817
   Singh C, 2019, ENVIRON DEV, V30, P35, DOI 10.1016/j.envdev.2019.04.007
   Singh D, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.571
   Singh S, 2020, AREA DEV POLICY, V5, P390, DOI 10.1080/23792949.2020.1734473
   Smith LC, 2018, WORLD DEV, V102, P358, DOI 10.1016/j.worlddev.2017.07.003
   Taraz V, 2017, ENVIRON DEV ECON, V22, P517, DOI [10.1017/S1355770X17000195, 10.1017/s1355770x17000195]
   Taylor M, 2021, GEOFORUM, V126, P431, DOI 10.1016/j.geoforum.2020.01.007
   Valdés A, 2010, WORLD DEV, V38, P1362, DOI 10.1016/j.worlddev.2010.06.003
   van der Ploeg JD, 2023, J PEASANT STUD, V50, P1261, DOI 10.1080/03066150.2023.2170792
   Vicol M, 2021, SINGAPORE J TROP GEO, V42, P264, DOI 10.1111/sjtg.12315
   Vicol M, 2019, J AGRAR CHANGE, V19, P135, DOI 10.1111/joac.12273
   Wiggins S., 2009, FAC Working Paper, 08
   Woroniecki S, 2023, CLIM DEV, V15, P590, DOI 10.1080/17565529.2022.2129954
NR 76
TC 0
Z9 0
U1 2
U2 2
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD 2024 AUG 14
PY 2024
DI 10.1080/17565529.2024.2388052
EA AUG 2024
PG 13
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA C6E3R
UT WOS:001290277200001
OA hybrid
DA 2025-01-10
ER

PT J
AU Biswas, RN
   Rashid, KJ
   Ullah, MA
   Chowdhury, SIA
AF Biswas, Rathindra Nath
   Rashid, Kazi Jihadur
   Ullah, Md. Amanat
   Chowdhury, Shah Imran Ahsan
TI Implications of Jhau (Tamarix:<i> Casuarina</i><i> equisetifolia)</i>
   forest deforestation on coastal landscape ecology and climate change
   adaptation in Cox's Bazar, Bangladesh
SO ECOLOGICAL FRONTIERS
LA English
DT Article
DE Casuarina equisetifolia; Deforestation; Drivers; Leaf area index (LAI);
   Landscape ecology; Soil chemistry; Tissue pathology
ID VEGETATION INDEX; BIOMASS; DECOMPOSITION; LITTERFALL; RELEASE; TREES;
   AREA; L.
AB Jhau (Casuarina equisetifolia) is an evergreen tropical/subtropical invasive forest plantation growing on dune morphology at the longest sea beach of Cox's Bazar in Bangladesh. During contemporary times, raising climate catastrophes is viable to destroy the afforestation scheme of the plantation significantly, along with ethnographic interventions. So, in order to reach the research goal, the study considered assessing Jhau loss and its drivers of deforestation, health dynamics, biomass and carbon estimation, soil chemical elements, and wood pathological concentration. Highresolution remote-sensing satellite imagery WorldView 3/4 (i.e., spatial resolution 0.3 m) was used to delineate the Jhau patch for 2005, 2010, 2015, and 2023, aiming at change and loss analysis by applying GIS tools and techniques. Accordingly, the study assesses the dynamics of Jhau health by utilizing geophysical indices such as the Enhanced Vegetation Index (EVI) and Leaf Area Index (LAI) time series within the Google Earth Engine Platform using multi-spectral remotely sensed Landsat Mission Images spanning from 2005 to 2023. In addition, soil and wood samples from the study area were collected to explore soil chemical and pathological impacts, respectively, on deforestation. The outcome from the analysis demonstrates that coastal erosion is the prime driver of deforestation, accounting for 52% of plantation losses between 2005 and 2023. Thus, the maximum rate of LAI declined (R2 = 0.32, y = - 1.3 + 1.7 x 10 - 9x) was displayed in cluster 3 (West Cox's Bazar Cricket Stadium Cluster) over the study period between 2005 and 2023. Therefore, the findings of the study will help in the afforestation implementation and green belt development strategies against climate change risk mitigation and adaptation for the associated stakeholders, including environmental resource managers, ecologists, forest managers, coastal morphologists, and decision-makers.
C1 [Biswas, Rathindra Nath; Rashid, Kazi Jihadur; Chowdhury, Shah Imran Ahsan] Ctr Environm & Geog Informat Serv CEGIS, Remote Sensing Div, Gulshan 1, Dhaka 1212, Bangladesh.
   [Ullah, Md. Amanat] Ctr Environm & Geog Informat Serv CEGIS, Ecol Forestry & Biodivers Div, Gulshan 1, Dhaka 1212, Bangladesh.
RP Biswas, RN (corresponding author), Ctr Environm & Geog Informat Serv CEGIS, Remote Sensing Div, Gulshan 1, Dhaka 1212, Bangladesh.
EM rnbiswas@cegisbd.com
CR Ahmed I.U, 2022, Forestry development in coastal areas, Koen De Wilde: Moving Coastline
   Ahmmed I., 2020, Environ. Biol. Res., V2, P11
   Alam MS, 1999, J COASTAL RES, V15, P902
   Anzum H.M.N., 2023, Watershed Ecol. Environ., V5, P134, DOI [10.1016/j.wsee.2023.05.001, DOI 10.1016/J.WSEE.2023.05.001]
   Araya T, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-09797-3
   Azam MG, 2022, MITIG ADAPT STRAT GL, V27, DOI 10.1007/s11027-022-10013-w
   Basu A., 2021, Modern Cartography Series, P497, DOI [10.1016/b978-0-12-823895-0.00014-2, DOI 10.1016/B978-0-12-823895-0.00014-2, 10.1016/B978-0-12-823895-0.00014-2]
   Batish DR, 2001, COMMUNITY ECOL, V2, P93, DOI 10.1556/ComEc.2.2001.1.10
   Brammer H., 2012, PHYS GEOGRAPHY BANGL
   Breda N.J.J., 2008, Leaf Area Index.
   Buermann W, 2002, J GEOPHYS RES-ATMOS, V107, DOI 10.1029/2001JD000975
   Buvaneswaran C., 2012, Advances in Casuarina Research in India, P345
   Chaudhari S., 2009, Impact of casuarina Plantations on Olive Ridley Turtle Nesting along the Northern Tamil Nadu Coast, India, P44
   Chave J, 2005, OECOLOGIA, V145, P87, DOI 10.1007/s00442-005-0100-x
   Chhabra A, 2002, BIOMASS BIOENERG, V22, P187, DOI 10.1016/S0961-9534(01)00068-X
   Chowdhury M. Q., 2007, Australian Forestry, V70, P33
   Chowdhury M, 2020, EGYPT J REMOTE SENS, V23, P63, DOI 10.1016/j.ejrs.2018.11.003
   Chowdhury MQ, 2012, AUST FORESTRY, V75, P95, DOI 10.1080/00049158.2012.10676390
   Chowdhury MQ, 2009, J WOOD SCI, V55, P139, DOI 10.1007/s10086-008-1004-2
   Cuevas E., 2024, Synthesis Lectures on Engineering, Science, and Technology, DOI [10.1007/978-3-031-40478-8_8, DOI 10.1007/978-3-031-40478-8_8]
   Dadhwal V.K., 1992, Biogeochemical Cycle of Carbon for India-a Preliminary Estimate
   DELL B, 1985, PLANT SOIL, V86, P225, DOI 10.1007/BF02182897
   Deng FP, 2007, IEEE GEOSCI REMOTE S, V4, P236, DOI 10.1109/LGRS.2006.888844
   Dickinson R.E., 1984, Geophys. Monogr., V29
   Dutta RK, 2001, PEDOBIOLOGIA, V45, P298, DOI 10.1078/0031-4056-00088
   Ebuy J, 2011, J TROP FOR SCI, V23, P125
   Edirisinghe E., 2012, The Sri Lankan Forester, V34, P1
   El-Hattab MM, 2016, EGYPT J REMOTE SENS, V19, P23, DOI 10.1016/j.ejrs.2016.02.002
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Frolking S, 2009, J GEOPHYS RES-BIOGEO, V114, DOI 10.1029/2008JG000911
   Gafur M.A., 1979, Chittagong Univ. Stud. Part II, V3, P11
   Goswami S., 2015, PeerJ, DOI [10.7287/peerj.preprints.913v1PrePrints3:e913v1, DOI 10.7287/PEERJ.PREPRINTS.913V1PREPRINTS3:E913V1]
   GUPPY N, 1984, FOREIGN AFF, V62, P928, DOI 10.2307/20041914
   Hardman CJ, 2012, ORYX, V46, P204, DOI 10.1017/S0030605311000251
   Hassan M., 2017, Asian Res. J. Agric., V5, P1
   Hata K, 2016, SCI TOTAL ENVIRON, V545, P372, DOI 10.1016/j.scitotenv.2015.12.007
   Hossain M.K., 2010, IMPROVING SMALLHOLDE, P200
   Hossain M.K., 2016, Growth and Development of Casuarina equisetifolia in the Open Sandy Sea Coasts of Cox's Bazar, DOI [10.1007/s13199-021-00765-5, DOI 10.1007/S13199-021-00765-5]
   Howlader M, 2023, MAR POLLUT BULL, V197, DOI 10.1016/j.marpolbul.2023.115705
   Huete A, 2011, REMOTE SENS DIGIT IM, V11, P579, DOI 10.1007/978-1-4419-6749-7_26
   Imada S, 2012, J ARID ENVIRON, V83, P62, DOI 10.1016/j.jaridenv.2012.03.006
   IPCC, 2022, Climate Change
   Izquierdo I, 2005, APPL SOIL ECOL, V30, P3, DOI 10.1016/j.apsoil.2005.02.004
   Jackson M.L., 1967, Prentice Hall of India, P498
   Jackson ML, 1958, SOIL CHEM ANAL
   Jain N. C., 1966, Indian Forester, V92, P730
   Jiang ZY, 2008, REMOTE SENS ENVIRON, V112, P3833, DOI 10.1016/j.rse.2008.06.006
   Khan K.H., 1991, Geology of Bangladesh
   Kiran Bargali Kiran Bargali, 2011, African Journal of Plant Science, V5, P401
   Komiyama A, 2005, J TROP ECOL, V21, P471, DOI 10.1017/S0266467405002476
   Kumar V., 2016, Van Sangyan, V3, P14
   Lewis K, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-58982-9
   Liu H, 2004, INT J REMOTE SENS, V25, P1037, DOI [10.1080/0143116031000139809, 10.1080/0143116031000150004]
   Liu M, 2021, ECOL INDIC, V125, DOI 10.1016/j.ecolind.2021.107562
   Liu XZ, 2015, TROP CONSERV SCI, V8, P598, DOI 10.1177/194008291500800302
   Miah M.D., 2014, Casuarina Plantation for Climate Change Adaptation and Mitigation in the Coastal Belt of Cox's Bazar
   Mohanasundaram S, 2023, ENVIRON MONIT ASSESS, V195, DOI 10.1007/s10661-022-10802-5
   Morton J.F., 1980, P. Fl. St. Hortic. Soc, V93, P87
   Ngom M, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.01331
   Ogunwande IA, 2011, S AFR J BOT, V77, P645, DOI 10.1016/j.sajb.2011.02.001
   Parekh Jigna, 2005, Turkish Journal of Biology, V29, P203
   Parrotta J.A., 1993, Casuarina equisetifolia L. ex JR & G. Forst. Casuarina, Australian pine
   Pellikka PKE, 2009, INT J APPL EARTH OBS, V11, P221, DOI 10.1016/j.jag.2009.02.002
   Pethick J, 2013, GLOBAL PLANET CHANGE, V111, P237, DOI 10.1016/j.gloplacha.2013.09.019
   Rahman M. M., 2010, AACL Bioflux, V3, P77
   Rahman M.M., 2023, Arab. J. Geosci., V16, P644, DOI [10.1007/s12517-023-11731-4, DOI 10.1007/S12517-023-11731-4]
   Rahman M.M., 2015, Eur. Sci. J., V11
   Rajendran K, 2004, BIOMASS BIOENERG, V26, P235, DOI 10.1016/j.biombioe.2003.07.001
   Rehman HU, 2023, J WATER CLIM CHANGE, V14, P4000, DOI 10.2166/wcc.2023.170
   Salunkhe OR., 2023, Carbon Research, V2, P9, DOI [10.1007/s44246-023-00039-3, DOI 10.1007/S44246-023-00039-3]
   Sanogo K, 2021, AGROFOREST SYST, V95, P135, DOI 10.1007/s10457-020-00578-3
   Shaibur M.R., 2021, Environ. Chall, V4, P100152, DOI [DOI 10.1016/J.ENVC.2021.100152, 10.1016/j.envc.2021.100152]
   Shaibur M.R., 2019, Environ. Biol. Res., V1, P32, DOI DOI 10.13140/RG.2.2.33663.23208
   Shaibur M.R., 2022, Water-Energy-Nexus in the Ecological Transition: Natural-Based Solutions, Advanced Technologies and Best Practices for Environmental Sustainability, P193, DOI DOI 10.1007/978-3-031-00808-5_45
   Shaibur M.R., 2019, Environ. Biol. Res., V1, P22
   Shaibur MR, 2023, URBAN SCI, V7, DOI 10.3390/urbansci7030071
   Shampa M.T.A., 2023, Causes of Deforestation and Degradation of Jhau (Casuarina equisetifolia) Plantation Along the Cox's BazarTeknaf Sea Beach in Bangladesh
   Shampa MTA, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e18190
   Sosa Suarez C., 1990, Holztechnologie, V31, P129
   Srivastava AK, 1996, BIOL FERT SOILS, V21, P277, DOI 10.1007/BF00334904
   Torres BA, 2023, FRONT ENV SCI-SWITZ, V11, DOI 10.3389/fenvs.2023.1108272
   Ury EA, 2021, ECOL APPL, V31, DOI 10.1002/eap.2339
   Weber OB, 2020, J FORESTRY RES, V31, P1959, DOI 10.1007/s11676-019-00982-1
   Wheeler GS, 2011, J COASTAL RES, V27, P485, DOI 10.2112/JCOASTRES-D-09-00110.1
   Wicaksono P, 2011, PROC SPIE, V8174, DOI 10.1117/12.897926
   Wickham H., 2009, ggplot2: Elegant Graphics for Data Analysis, DOI [10.1007/978-0-387-98141-3, 10.1007/978-3-319-24277-4]
   Wickham Hadley, 2023, CRAN
   Wickham Hadley, 2024, CRAN
   Wu J, 2023, ECOL INFORM, V77, DOI 10.1016/j.ecoinf.2023.102190
   Wulder MA, 2019, REMOTE SENS ENVIRON, V225, P127, DOI 10.1016/j.rse.2019.02.015
   Yeasmin Munjira, 2022, Journal of Tropical Resources and Sustainable Science, V10, P1, DOI 10.47253/jtrss.v10i1.891
   Zeileis A., 2021, **DATA OBJECT**
   Zhu ZC, 2013, REMOTE SENS-BASEL, V5, P927, DOI 10.3390/rs5020927
NR 93
TC 2
Z9 2
U1 0
U2 0
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
EI 2950-5097
J9 ECOL FRONT
JI Ecol. Front.
PD OCT
PY 2024
VL 44
IS 5
BP 1027
EP 1051
DI 10.1016/j.ecofro.2024.05.006
PG 25
WC Ecology
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA M0M8H
UT WOS:001354581400001
DA 2025-01-10
ER

PT J
AU Córdova, M
   Orellana-Alvear, J
   Bendix, J
   Rollenbeck, R
   Célleri, R
AF Cordova, Mario
   Orellana-Alvear, Johanna
   Bendix, Joerg
   Rollenbeck, Ruetger
   Celleri, Rolando
TI Large-scale dynamics of extreme precipitation in the tropical Andes:
   combining weather radar observations and reanalysis data
SO METEOROLOGY AND ATMOSPHERIC PHYSICS
LA English
DT Article
ID RAINFALL PATTERNS; ENSO; OSCILLATION; INTENSITY; ECUADOR; REGION; WET
AB Extreme precipitation events are a global threat to human wellbeing, they are the main cause of natural disasters such as flooding and landslides. Floods are particularly harmful because they can trigger infectious disease outbreaks, cause damage to essential infrastructure, impact food and water security, and even affect the mental health of the population. Climate change has caused an intensification of extreme precipitation events globally in the last decades, including the tropics, which receive more than half of the global precipitation. In this context, the understanding of the climate dynamics related to extreme precipitation events is vital for climate change adaptation. Such understanding has been particularly limited in the tropical Andes, primarily because of the paucity of data in the region. In the present study, we used data from a weather radar installed at 4450 m a.s.l. in the southern Ecuadorian Andes and ERA5 reanalysis to examine the large-scale dynamics associated with extreme precipitation events in the tropical Andes during the 2015-2022 period. We found that extreme rainfall in the Interandean valley is connected to local positive near surface temperature and CAPE anomalies that extend to the eastern slopes of the Andes, which cause strong thermal convection and intense afternoon events. On the other hand, extreme rainfall over the western slopes and the coastal plains is associated with El Ni & ntilde;o-like conditions that produce Mesoscale Convective Systems that survive well after sunset and cause extreme nighttime precipitation. The present study allowed us to reveal the connections between large-scale dynamics and extreme precipitation for the first time in the southern Ecuadorian Andes. The outcome of the present study could be useful in future research to improve forecasting of extreme precipitation events and early warning systems in the region.
C1 [Cordova, Mario; Orellana-Alvear, Johanna; Celleri, Rolando] Univ Cuenca, Dept Recursos Hidr & Ciencias Ambientales, Cuenca 010105, Ecuador.
   [Cordova, Mario; Celleri, Rolando] Univ Cuenca, Fac Ingn, Cuenca, Ecuador.
   [Bendix, Joerg; Rollenbeck, Ruetger] Univ Marburg, Fac Geog, Lab Climatol & Remote Sensing LCRS, D-35037 Marburg, Germany.
C3 Universidad de Cuenca; Universidad de Cuenca; Philipps University
   Marburg
RP Córdova, M (corresponding author), Univ Cuenca, Dept Recursos Hidr & Ciencias Ambientales, Cuenca 010105, Ecuador.; Córdova, M (corresponding author), Univ Cuenca, Fac Ingn, Cuenca, Ecuador.
EM mario.cordovam@ucuenca.edu.ec
RI Córdova, Mario/AAK-2355-2021; Rollenbeck, Rütger/M-4154-2015
OI Cordova, Mario/0000-0001-8026-0387; Orellana-Alvear,
   Johanna/0000-0002-6206-075X
FU Project "High-resolution radar analysis of precipitation extremes in
   Ecuador and North Peru and implications of the ENSO-dynamics"; German
   Research Foundation (Deutsche Forschungsgemeinschaft-DFG) [RO3815/2-1];
   Research Vice rectorate of the University of Cuenca (VIUC)
FX The study was funded by the project "High-resolution radar analysis of
   precipitation extremes in Ecuador and North Peru and implications of the
   ENSO-dynamics," a collaborating project from the German Research
   Foundation (Deutsche Forschungsgemeinschaft-DFG; DFG GZ.: RO3815/2-1)
   and the Research Vice rectorate of the University of Cuenca (VIUC). The
   authors are thankful to Empresa Municipal de Alcantarillado y Agua
   Potable (ETAPA) for the CAXX radar operation and maintenance. This
   manuscript is an outcome of the Doctoral Program in Water Resources,
   offered by Universidad de Cuenca, Escuela Politecnica Nacional, and
   Universidad Tecnica Particular de Loja.
CR Allan RP, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/2/025205
   [Anonymous], 2012, Atlas of health and Climate
   Ballari D, 2018, INT J CLIMATOL, V38, P3337, DOI 10.1002/joc.5504
   Bech J, 2003, J ATMOS OCEAN TECH, V20, P845, DOI 10.1175/1520-0426(2003)020<0845:TSOSPW>2.0.CO;2
   Becker A., 1997, PREDICTING GLOBAL CH
   Bendix J, 2017, B AM METEOROL SOC, V98, P1235, DOI 10.1175/BAMS-D-15-00178.1
   Bendix J, 2011, ERDKUNDE, V65, P151, DOI 10.3112/erdkunde.2011.02.04
   Bendix J, 2009, J APPL METEOROL CLIM, V48, P1682, DOI 10.1175/2009JAMC2078.1
   Birkel SD, 2022, EARTH SPACE SCI, V9, DOI 10.1029/2021EA001934
   Boschat G, 2016, SCI REP-UK, V6, DOI 10.1038/srep29599
   Cohen J., 2020, Leave No One Behind Time for Specifics on the Sustainable Development Goals, P209
   Córdova M, 2022, INT J CLIMATOL, V42, P5055, DOI 10.1002/joc.7519
   Cordova M, 2015, MT RES DEV, V35, P230, DOI 10.1659/MRD-JOURNAL-D-14-0024.1
   Domínguez-Castro F, 2018, INT J CLIMATOL, V38, P2006, DOI 10.1002/joc.5312
   Eghdami M, 2019, FRONT ENV SCI-SWITZ, V7, DOI 10.3389/fenvs.2019.00101
   Garreaud RD, 2018, INT J CLIMATOL, V38, pE1296, DOI 10.1002/joc.5426
   Gu GJ, 2018, J CLIMATE, V31, P4775, DOI [10.1175/JCLI-D-17-0550.1, 10.1175/jcli-d-17-0550.1]
   Gu GJ, 2013, CLIM DYNAM, V40, P3009, DOI 10.1007/s00382-012-1443-8
   Guallpa M, 2019, WATER-SUI, V11, DOI 10.3390/w11051038
   Hermawan E, 2022, ATMOSPHERE-BASEL, V13, DOI 10.3390/atmos13071092
   Hersbach H, 2020, Q J ROY METEOR SOC, V146, P1999, DOI 10.1002/qj.3803
   Ilbay-Yupa M, 2021, THEOR APPL CLIMATOL, V143, P1513, DOI 10.1007/s00704-020-03476-x
   Kayano MT, 2014, INT J CLIMATOL, V34, P162, DOI 10.1002/joc.3674
   Kirchmeier-Young MC, 2020, P NATL ACAD SCI USA, V117, P13308, DOI 10.1073/pnas.1921628117
   Leichenko R, 2014, WIRES CLIM CHANGE, V5, P539, DOI 10.1002/wcc.287
   Flores-Rojas JL, 2021, ATMOS RES, V248, DOI 10.1016/j.atmosres.2020.105188
   Madakumbura GD, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-24262-x
   Myers DS, 2003, J CLIMATE, V16, P929, DOI 10.1175/1520-0442(2003)016<0929:TDWVAC>2.0.CO;2
   Myhre G, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-52277-4
   Orellana-Alvear J, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11141632
   Orellana-Alvear J, 2017, J APPL METEOROL CLIM, V56, P3065, DOI 10.1175/JAMC-D-17-0009.1
   Peng QH, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-018-08258-8
   Pineda LE, 2016, J HYDROMETEOROL, V17, P481, DOI 10.1175/JHM-D-15-0040.1
   Prtner H.-O., 2022, CLIMATE CHANGE 2022, DOI DOI 10.1017/9781009325844.009
   Purwaningsih A, 2022, ATMOSPHERE-BASEL, V13, DOI 10.3390/atmos13091391
   Rollenbeck R, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14040824
   Rossi PJ, 2014, METEOROL APPL, V21, P656, DOI 10.1002/met.1389
   Ruiz-Hernández JC, 2021, J HYDROL-REG STUD, V38, DOI 10.1016/j.ejrh.2021.100924
   Segura H, 2020, CLIM DYNAM, V54, P2613, DOI 10.1007/s00382-020-05132-6
   Sulca J, 2018, INT J CLIMATOL, V38, P420, DOI 10.1002/joc.5185
   Thorndahl S, 2014, ATMOS RES, V144, P111, DOI 10.1016/j.atmosres.2014.03.013
   Tian BJ, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2007GL029451
   Tobar V, 2018, INT J CLIMATOL, V38, P1808, DOI 10.1002/joc.5297
   Urgilés G, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13050991
   Velásquez N, 2022, HYDROLOGY-BASEL, V9, DOI 10.3390/hydrology9070119
   Villalobos-Puma E, 2022, INT J CLIMATOL, V42, P9909, DOI 10.1002/joc.7871
   Welhouse LJ, 2016, J CLIMATE, V29, P1797, DOI 10.1175/JCLI-D-15-0108.1
   Wu YC, 2019, INT J CLIMATOL, V39, P5351, DOI 10.1002/joc.6159
   Zhang Y, 2016, J CLIMATE, V29, P3697, DOI 10.1175/JCLI-D-15-0582.1
   Zhou Y, 2022, J RURAL STUD, V93, P408, DOI 10.1016/j.jrurstud.2019.01.008
NR 50
TC 0
Z9 0
U1 2
U2 4
PU SPRINGER WIEN
PI Vienna
PA Prinz-Eugen-Strasse 8-10, A-1040 Vienna, AUSTRIA
SN 0177-7971
EI 1436-5065
J9 METEOROL ATMOS PHYS
JI Meteorol. Atmos. Phys.
PD JUL
PY 2024
VL 136
IS 4
AR 27
DI 10.1007/s00703-024-01022-2
PG 19
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA TR2W6
UT WOS:001242931600001
DA 2025-01-10
ER

PT J
AU Orkodjo, TP
   Kranjac-Berisavijevic, G
   Abagale, FK
AF Orkodjo, Tamiru Paulos
   Kranjac-Berisavijevic, Gordana
   Abagale, Felix K.
TI Impact of climate change on future availability of water for irrigation
   and hydropower generation in the Omo-Gibe Basin of Ethiopia
SO JOURNAL OF HYDROLOGY-REGIONAL STUDIES
LA English
DT Article
DE Climate change; Hydropower generation; Irrigation; SWAT; WEAP; Water
   availability
ID RIVER-BASIN; HYDROLOGICAL MODEL; DOWNSCALING MODELS; BIAS CORRECTION;
   FLOW REGIME; LAND-USE; PART 1; RESOURCES; PRECIPITATION; TEMPERATURE
AB Study region: Omo-Gibe River Basin, Ethiopia Study focus: The objective of this study was to predict the impact of climate change on the future availability of water for irrigation and hydropower production. Climate change projections for the near future (2017-2044), medium (2045-2072), and long-term (2073-2100) using a multi-model set average of fifteen regional climate models under the RCP4.5 and RCP8.5 emission scenarios. Water availability, allocation, and demand for irrigation and hydropower generation were pre-dicted using the coupled Soil and Water Assessment Tool (SWAT) and Water Evaluation and Planning (WEAP) hydrological models. New hydrological insights for the region: The projected annual average temperature increase range is 2.10-3.6 C under RCP 4.5 emission scenarios while 2.7-4.8 C under RCP 8.5. Under RCP 4.5 and RCP 8.5 emissions scenarios, projected annual average precipitation declines ranged from 10.7-13.6 % and 11.1-13.8 %, respectively. Projected annual average declines in streamflow ranged from 7.0 % to 10.9 % under PCR 4.5 emissions scenarios, while 10.9-2.8 % under PCR 8.5. As a consequence, water shortages for irrigation may decrease by 15.5-25.4 % and hydroelec-tricity by 10.5-20.2 % during study periods. Due to the combined effect of climate change and rising water demand, the increase in water scarcity ranges from 7.9-30.6 %. The projected results showed that future water availability for irrigation and hydropower generation will decline in the future. Climate change adaptation options are needed to ensure future water availability for hydropower generation and irrigation.
C1 [Orkodjo, Tamiru Paulos] Arba Minch Univ, Inst Arba Minch Water Technol, Fac Hydraul & Water Resource Engn, Arba Minch, Ethiopia.
   [Kranjac-Berisavijevic, Gordana] UDS, Fac Agr & Consumer Sci, Dept Agr Mechanisat & Irrigat Technol, POB 1882, Nyankpala, Ghana.
   [Abagale, Felix K.] Univ Dev Studies, Sch Engn, Dept Environm Water & Waste Engn, Tamale, Ghana.
C3 Arba Minch University; University for Development Studies
RP Orkodjo, TP (corresponding author), Arba Minch Univ, Inst Arba Minch Water Technol, Fac Hydraul & Water Resource Engn, Arba Minch, Ethiopia.
EM tamirupaulos@gmail.com; novagordanak@gmail.com; fabagale@uds.edu.gh
CR Abbaspour KC, 2015, J HYDROL, V524, P733, DOI 10.1016/j.jhydrol.2015.03.027
   Abbaspour KC, 2007, J HYDROL, V333, P413, DOI 10.1016/j.jhydrol.2006.09.014
   Abbaspour KC, 2018, WATER-SUI, V10, DOI 10.3390/w10010006
   Abbaspour KC, 2004, VADOSE ZONE J, V3, P1340
   Abbaspour KC, 1997, WATER RESOUR RES, V33, P1879, DOI 10.1029/97WR01230
   Abera FF, 2018, WATER-SUI, V10, DOI 10.3390/w10030273
   Ahmadalipour A, 2019, SCI TOTAL ENVIRON, V662, P672, DOI 10.1016/j.scitotenv.2019.01.278
   Alansi A W., 2009, Hydrology and Earth System Sciences Discussions, V6, P7581, DOI [DOI 10.5194/HESSD-6-7581-2009, 10.5194/hessd-6-7581-2009]
   Allani M, 2020, J WATER CLIM CHANGE, V11, P1724, DOI 10.2166/wcc.2019.131
   Amin Md Nurul., 2018, Journal of Science, Technology and Environment Informatics, V6, P421, DOI [10.18801/jstei.060118.45, DOI 10.18801/JSTEI.060118.45]
   Andualem Shigute Boke Andualem Shigute Boke, 2017, Journal of Water Resource and Protection, V9, P945, DOI 10.4236/jwarp.2017.98063
   Angelina A, 2015, HYDROLOG SCI J, V60, P1709, DOI 10.1080/02626667.2014.916407
   Anghileri D, 2018, WATER RESOUR RES, V54, P9144, DOI 10.1029/2017WR022289
   [Anonymous], 1968, P 1968 23 ACM NAT C, DOI [DOI 10.1145/800186.810616, 10.1145/800186.810616]
   [Anonymous], 2016, AQUASTAT Country Profile-Vanuatu. 11
   [Anonymous], 1972, NAT ENG HDB
   Arent D, 2014, APPL ENERG, V123, P368, DOI 10.1016/j.apenergy.2013.12.022
   Arnell NW, 2019, CLIMATIC CHANGE, V155, P377, DOI 10.1007/s10584-019-02464-z
   Arnell NW, 2013, NAT CLIM CHANGE, V3, P512, DOI [10.1038/nclimate1793, 10.1038/NCLIMATE1793]
   Arnell NW, 2011, J AM WATER RESOUR AS, V47, P541, DOI 10.1111/j.1752-1688.2011.00548.x
   Arnold JG, 2012, T ASABE, V55, P1491
   Arnold J.G., 2012, TR439 USDAARS BLACKL
   Arnold JG, 1998, J AM WATER RESOUR AS, V34, P73, DOI 10.1111/j.1752-1688.1998.tb05961.x
   Arnold JG, 2005, HYDROL PROCESS, V19, P563, DOI 10.1002/hyp.5611
   Ayar PV, 2016, CLIM DYNAM, V46, P1301, DOI 10.1007/s00382-015-2647-5
   Bae DH, 2008, CLIM RES, V35, P213, DOI 10.3354/cr00704
   Bajwa AA, 2019, PEST MANAG SCI, V75, P2934, DOI 10.1002/ps.5403
   Bárdossy A, 2014, J HYDROL, V519, P1162, DOI 10.1016/j.jhydrol.2014.08.025
   Bates B., 2008, Climate change and water, DOI DOI 10.1029/90EO00112
   Berg N, 2015, J CLIMATE, V28, P401, DOI 10.1175/JCLI-D-14-00316.1
   Santos RMB, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16132419
   BROWN MB, 1974, J AM STAT ASSOC, V69, P364, DOI 10.2307/2285659
   Buontempo C, 2015, CLIM DYNAM, V44, P2097, DOI 10.1007/s00382-014-2286-2
   Chakilu GG, 2020, WATER-SUI, V12, DOI 10.3390/w12113046
   Chen J, 2011, J HYDROL, V401, P190, DOI 10.1016/j.jhydrol.2011.02.020
   Christensen JH, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL035694
   Christensen NS, 2004, CLIMATIC CHANGE, V62, P337, DOI 10.1023/B:CLIM.0000013684.13621.1f
   Cibin R, 2010, HYDROL PROCESS, V24, P1133, DOI 10.1002/hyp.7568
   Clow DW, 2010, J CLIMATE, V23, P2293, DOI 10.1175/2009JCLI2951.1
   Coffey R, 2016, REG ENVIRON CHANGE, V16, P2111, DOI 10.1007/s10113-015-0912-0
   Cressman G.P., 1959, MON WEATHER REV, V87, P367, DOI [DOI 10.1175/1520-0493(1959)087<0367:AOOAS>2.0.CO;2, 10.1175/1520-0493(1959)087, 10.1175/1520-0493(1959)087<0367:AOOAS>2.0.CO;2,URLhttps://journals.ametsoc.org/view/journals/mwre/87/10/1520-0493_1959_087_0367_aooas_2_0_co_2.xml]
   Dawit M, 2020, CLIMATE, V8, DOI 10.3390/cli8090097
   Degefu MA, 2014, REG ENVIRON CHANGE, V14, P799, DOI 10.1007/s10113-013-0538-z
   Dessu SB, 2013, HYDROL PROCESS, V27, P2973, DOI 10.1002/hyp.9434
   Dettinger MD, 2004, CLIMATIC CHANGE, V62, P283, DOI 10.1023/B:CLIM.0000013683.13346.4f
   Dosio A, 2015, CLIM DYNAM, V44, P2637, DOI 10.1007/s00382-014-2262-x
   Du PP, 2021, PEERJ, V9, DOI 10.7717/peerj.12201
   Edwards PN, 2011, WIRES CLIM CHANGE, V2, P128, DOI 10.1002/wcc.95
   Emami F, 2019, CLIMATE, V7, DOI 10.3390/cli7040051
   Eslamian S, 2011, CLIMATE CHANGE - RESEARCH AND TECHNOLOGY FOR ADAPTATION AND MITIGATION, P87
   Evans J, 2002, CLIMATIC CHANGE, V55, P361, DOI 10.1023/A:1020588416541
   Ficklin DL, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0071297
   Fowler HJ, 2007, INT J CLIMATOL, V27, P1547, DOI 10.1002/joc.1556
   Fujihara Y, 2008, J HYDROL, V353, P33, DOI 10.1016/j.jhydrol.2008.01.024
   Gao DY, 2021, J WATER CLIM CHANGE, V12, P1724, DOI 10.2166/wcc.2020.082
   Gardoni P, 2016, RISK GOV SOC, V19, P1, DOI 10.1007/978-3-319-22126-7_1
   Gassman PW, 2007, T ASABE, V50, P1211, DOI 10.13031/2013.23637
   Giorgi F., 2009, Bulletin - World Meteorological Organization, V58, P175
   Giorgi F, 2011, J CLIMATE, V24, P5309, DOI 10.1175/2011JCLI3979.1
   Githui F, 2009, INT J CLIMATOL, V29, P1823, DOI 10.1002/joc.1828
   Gosling SN, 2011, PROG PHYS GEOG, V35, P443, DOI 10.1177/0309133311407650
   Green WH, 1911, J AGR SCI, V4, P1, DOI 10.1017/S0021859600001441
   Grouillet B, 2016, HYDROL EARTH SYST SC, V20, P1031, DOI 10.5194/hess-20-1031-2016
   Gulizia C, 2015, INT J CLIMATOL, V35, P583, DOI 10.1002/joc.4005
   Gupta HV, 1999, J HYDROL ENG, V4, P135, DOI 10.1061/(ASCE)1084-0699(1999)4:2(135)
   Haerter JO, 2011, HYDROL EARTH SYST SC, V15, P1065, DOI 10.5194/hess-15-1065-2011
   Haguma D, 2017, CAN J CIVIL ENG, V44, P962, DOI 10.1139/cjce-2017-0141
   Hao L, 2015, J AM WATER RESOUR AS, V51, P655, DOI 10.1111/1752-1688.12311
   Harding BL, 2012, HYDROL EARTH SYST SC, V16, P3989, DOI 10.5194/hess-16-3989-2012
   Hargreaves G. H., 1985, Applied Engineering in Agriculture, V1, P96
   Hasan MM, 2018, WATER SCI ENG, V11, P157, DOI 10.1016/j.wse.2018.07.002
   Hegerl GC, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P663
   Huang SC, 2018, AGR WATER MANAGE, V203, P207, DOI 10.1016/j.agwat.2018.03.004
   HUBBARD KG, 1994, AGR FOREST METEOROL, V68, P29, DOI 10.1016/0168-1923(94)90067-1
   Ingol-Blanco E, 2013, J HYDROL ENG, V18, P340, DOI 10.1061/(ASCE)HE.1943-5584.0000607
   Jaiswal RK, 2017, J WATER CLIM CHANGE, V8, P755, DOI 10.2166/wcc.2017.097
   Jakimavicius D, 2020, WATER-SUI, V12, DOI 10.3390/w12113265
   Jiang JM, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14084806
   Kang YH, 2009, PROG NAT SCI-MATER, V19, P1665, DOI 10.1016/j.pnsc.2009.08.001
   Kashani MH, 2012, STOCH ENV RES RISK A, V26, P59, DOI 10.1007/s00477-011-0536-y
   Keshta N, 2009, HYDROL EARTH SYST SC, V13, P865, DOI 10.5194/hess-13-865-2009
   Khan AJ, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12041283
   Kimball HL, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0184466
   Kopytkovskiy M, 2015, J HYDROL-REG STUD, V3, P473, DOI 10.1016/j.ejrh.2015.02.014
   Kriegler E., 2013, FRAMEWORK DEV NEW SO
   Kumar N, 2017, J HYDROL-REG STUD, V13, P189, DOI 10.1016/j.ejrh.2017.07.008
   Kundzewicz Zbigniew W., 2008, Ecohydrology & Hydrobiology, V8, P195, DOI 10.2478/v10104-009-0015-y
   Lafon T, 2013, INT J CLIMATOL, V33, P1367, DOI 10.1002/joc.3518
   Li Q, 2015, J ARID LAND, V7, P122, DOI 10.1007/s40333-014-0041-5
   Ma J, 2020, ANN NY ACAD SCI, V1472, P21, DOI 10.1111/nyas.14335
   Masui T, 2011, CLIMATIC CHANGE, V109, P59, DOI 10.1007/s10584-011-0150-5
   Merriam CF, 1937, EOS T AM GEOPHYS UN, V18, P471
   Monteith J L, 1965, Symp Soc Exp Biol, V19, P205
   Moriasi DN, 2007, T ASABE, V50, P885, DOI 10.13031/2013.23153
   Moriasi DN, 2015, T ASABE, V58, P1763
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Mpelasoka FS, 2009, J HYDROMETEOROL, V10, P1168, DOI 10.1175/2009JHM1045.1
   [穆兴民 Mu Xingmin], 2010, [水文, Hydrology], V30, P47
   Mutenyo I., 2013, HYDROL CURR RES
   Nair A, 2015, CR GEOSCI, V347, P53, DOI 10.1016/j.crte.2015.03.004
   Narsimlu B, 2013, WATER RESOUR MANAG, V27, P3647, DOI 10.1007/s11269-013-0371-7
   Nash JE., 1970, Journal of Hydrology, V10, P282, DOI [DOI 10.1016/0022-1694(70)90255-6, 10.1016/0022-1694(70)90255-6]
   Neitsch S, 2011, SOIL WATER ASSESSMEN
   Neitsch S.L., 2005, Soil water assessment tool theoretical document, version 2005
   Ngo L, 2018, CLIMATIC CHANGE, V149, P107, DOI 10.1007/s10584-016-1875-y
   Nikulin G, 2012, J CLIMATE, V25, P6057, DOI 10.1175/JCLI-D-11-00375.1
   Nyoni NMB, 2019, CLIM DEV, V11, P83, DOI 10.1080/17565529.2018.1442792
   Ochoa A, 2016, INT J CLIMATOL, V36, P1244, DOI 10.1002/joc.4418
   Oeurng C, 2019, WATER-SUI, V11, DOI 10.3390/w11030618
   Olsson J, 2016, CLIMATE, V4, DOI 10.3390/cli4030039
   Oriani F., 2020, EGU GEN ASS C, P5249
   PENMAN HL, 1948, PROC R SOC LON SER-A, V193, P120, DOI 10.1098/rspa.1948.0037
   Perez J, 2014, CLIM DYNAM, V43, P2663, DOI 10.1007/s00382-014-2078-8
   Peterson TC, 1998, INT J CLIMATOL, V18, P1493, DOI 10.1002/(SICI)1097-0088(19981115)18:13<1493::AID-JOC329>3.0.CO;2-T
   PRIESTLEY CHB, 1972, MON WEATHER REV, V100, P81, DOI 10.1175/1520-0493(1972)100<0081:OTAOSH>2.3.CO;2
   Rauscher SA, 2010, CLIM DYNAM, V35, P685, DOI 10.1007/s00382-009-0607-7
   Riahi K, 2011, CLIMATIC CHANGE, V109, P33, DOI 10.1007/s10584-011-0149-y
   Rivas-Tabares D, 2019, AGR WATER MANAGE, V212, P211, DOI 10.1016/j.agwat.2018.09.012
   Roth V, 2018, HELIYON, V4, DOI 10.1016/j.heliyon.2018.e00771
   Saharia AM, 2018, NAT HAZARDS, V92, P1463, DOI 10.1007/s11069-018-3259-2
   Sanikhani H, 2018, THEOR APPL CLIMATOL, V132, P491, DOI 10.1007/s00704-017-2091-z
   Schuol J, 2007, ECOL MODEL, V201, P301, DOI 10.1016/j.ecolmodel.2006.09.028
   Searcy J.K., 1960, DOUBLE MASS CURVES
   SEI, 2013, WEAP WAT EV PLANN
   Seiller G, 2014, HYDROL EARTH SYST SC, V18, P2033, DOI 10.5194/hess-18-2033-2014
   Sennikovs J, 2009, 18TH WORLD IMACS CONGRESS AND MODSIM09 INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION, P3962
   Setegn SG, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009248
   Shamir E, 2015, J HYDROL, V521, P18, DOI 10.1016/j.jhydrol.2014.11.062
   Sheffield J, 2012, NATURE, V491, P435, DOI 10.1038/nature11575
   Shrestha S, 2016, CLIM RISK MANAG, V14, P27, DOI 10.1016/j.crm.2016.08.002
   Sieber J., 2007, User Guide for WEAP21
   Sieber J., 2013, WEAP TUTORIAL
   Sieber J., 2006, P 3 INT C ENV MOD SO
   Solomon D., 2007, Climate Change 2007: The Physical Science Basis. Working Group I Contribution to the Fourth Assessment Report of the IPCC
   Soro GE, 2017, HYDROLOGY-BASEL, V4, DOI 10.3390/hydrology4010018
   Srinivasan R., 1998, International Journal of Water Resources Development, V14, P315, DOI 10.1080/07900629849231
   Srinivasan R, 2010, T ASABE, V53, P1533
   Su FG, 2013, J CLIMATE, V26, P3187, DOI 10.1175/JCLI-D-12-00321.1
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Teutschbein C, 2010, GEOGR COMPASS, V4, DOI 10.1111/j.1749-8198.2010.00357.x
   Dang TD, 2020, HYDROL EARTH SYST SC, V24, P397, DOI 10.5194/hess-24-397-2020
   Themessl MJ, 2012, CLIMATIC CHANGE, V112, P449, DOI 10.1007/s10584-011-0224-4
   Nguyen TPL, 2016, WATER-SUI, V8, DOI 10.3390/w8110523
   Thomson AM, 2011, CLIMATIC CHANGE, V109, P77, DOI 10.1007/s10584-011-0151-4
   Tiepolo M., 2017, RENEWING LOCAL PLANN
   Van Loon A., 2006, WATER EVALUATION PLA, P69
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P5, DOI [10.1007/s10584-011-0148-z, 10.1007/s10584-011-0157-y]
   Versini PA, 2016, HYDROLOG SCI J, V61, P2496, DOI 10.1080/02626667.2016.1154556
   Walton D, 2018, J CLIMATE, V31, P3789, DOI 10.1175/JCLI-D-17-0410.1
   Wijngaard JB, 2003, INT J CLIMATOL, V23, P679, DOI 10.1002/joc.906
   Williams JR., 1969, Transactions of the ASAE, V12, P100, DOI [DOI 10.13031/2013.38772, 10.13031/2013.38772]
   Woodroofe R., 1996, OMO GIBE RIVER BASIN, VIII
   Woodroofe R., 1996, OMO GIBE RIVER BASIN, V6
   Worku FF, 2014, HYDROL EARTH SYST SC, V18, P3837, DOI 10.5194/hess-18-3837-2014
   Worqlul AW, 2018, WATER-SUI, V10, DOI 10.3390/w10020120
   Yang J, 2008, J HYDROL, V358, P1, DOI 10.1016/j.jhydrol.2008.05.012
   Yates D, 2005, WATER INT, V30, P487, DOI 10.1080/02508060508691893
   Yates JR, 2009, ANNU REV BIOMED ENG, V11, P49, DOI 10.1146/annurev-bioeng-061008-124934
   Yaykiran S, 2019, WATER-SUI, V11, DOI 10.3390/w11020271
   Yu J.Y., 2010, ENV SYSTEMS, VII, P241
   Yuan Z, 2019, THEOR APPL CLIMATOL, V138, P1035, DOI 10.1007/s00704-019-02883-z
   Yue XL, 2018, ADV CLIM CHANG RES, V9, P243, DOI 10.1016/j.accre.2018.12.003
   Zhang F, 2011, BIOSENS BIOELECTRON, V30, P49, DOI 10.1016/j.bios.2011.08.025
NR 163
TC 16
Z9 16
U1 7
U2 21
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
EI 2214-5818
J9 J HYDROL-REG STUD
JI J. Hydrol.-Reg. Stud.
PD DEC
PY 2022
VL 44
AR 101254
DI 10.1016/j.ejrh.2022.101254
EA NOV 2022
PG 29
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA 6Q2FQ
UT WOS:000891433200004
OA gold
DA 2025-01-10
ER

PT J
AU van der Plank, S
   Brown, S
   Tompkins, EL
   Nicholls, RJ
AF van der Plank, Sien
   Brown, Sally
   Tompkins, Emma L.
   Nicholls, Robert J.
TI A typology of responsibility for coastal flood risk adaptation
SO FRONTIERS IN MARINE SCIENCE
LA English
DT Article
DE coastal flood risk management; responsibility; adaptation; local
   stakeholders; disaster risk reduction
ID LOCAL STAKEHOLDER PARTICIPATION; CLIMATE-CHANGE ADAPTATION; PROTECTION
   MOTIVATION; PUBLIC-PARTICIPATION; MITIGATION MEASURES; FEAR APPEALS;
   MANAGEMENT; RESILIENCE; UK; INSURANCE
AB The management of coastal flood risk is adapting to meet the challenges and increased risks posed by population change as well as by climate change, especially sea level rise. Protection is being targeted to areas where the benefits are highest, while elsewhere there is a shift towards more localized "living with floods" and "resilience" approaches. Such decentralized approaches to flood risk management (FRM) require a diverse range of stakeholder groups to be engaged as "flood risk citizens". Engagement of households in FRM is central to this process. Despite significant research on stakeholder engagement in coastal and flood risk management, there is less focus on the nature of responsibility in coastal adaptation. There is no framework by which to assess the different types of responsibility in hazard management and adaptation, and little research on the implications of expecting these responsibilities of stakeholder groups. In this paper, we identify five types of responsibility that are embedded throughout the disaster risk reduction cycle of managing coastal flooding. We build this "typology of responsibility" on existing work on the evolution of stakeholder engagement and stakeholder responsibility relationships in risk management processes, and a dataset of institutional stakeholder interviews and households surveys conducted across three case studies in England, the United Kingdom, in 2018 and 2019. We analyze the interviews using thematic analysis to explore institutional stakeholder perceptions of responsibility in coastal FRM, and analyze the household survey through descriptive and inferential statistics. By developing the first disaster risk reduction focused typology of responsibility for coastal flooding, we provide researchers and decision-makers with a tool to guide their planning and allocation of responsibilities in risk management for floods and other climate-driven hazards.
C1 [van der Plank, Sien] Univ Southampton, Fac Social Sci, Sociol Social Policy & Criminol, Econ Social & Policy Sci, Southampton, England.
   [Brown, Sally] Bournemouth Univ, Dept Life & Environm Sci, Bournemouth, England.
   [Tompkins, Emma L.] Univ Southampton, Fac Environm & Life Sci, Sch Geog & Environm Sci, Southampton, England.
   [Nicholls, Robert J.] Univ East Anglia, Tyndall Ctr Climate Change Res, Sch Environm Sci, Norwich, England.
C3 University of Southampton; Bournemouth University; University of
   Southampton; University of East Anglia
RP van der Plank, S (corresponding author), Univ Southampton, Fac Social Sci, Sociol Social Policy & Criminol, Econ Social & Policy Sci, Southampton, England.
EM sien.vanderplank@soton.ac.uk
RI Brown, Sally/I-2662-2014; Nicholls, Robert/G-3898-2010; Tompkins,
   Emma/B-6863-2016
OI Van Der Plank, Sien/0000-0001-6650-4111; Tompkins,
   Emma/0000-0002-4825-9797
FU Engineering and Physical Sciences Research Council; Leverhulme Trust; 
   [UKRI ESRC ES/W006189/1]; ESRC [ES/W006189/1] Funding Source: UKRI
FX Funding This work was funded through UKRI ESRC ES/W006189/1. The first
   named author would like to thank the Engineering and Physical Sciences
   Research Council and the Leverhulme Trust for their funding toward the
   PhD research on which this paper is based.
CR Alexander M., 2016, Analysing and Evaluating Flood Risk Governance in England-Enhancing Societal Resilience through Comprehensive and Aligned Flood Risk Governance Arrangements
   Alexander M, 2016, ENVIRON SCI POLICY, V64, P38, DOI 10.1016/j.envsci.2016.06.004
   [Anonymous], 2016, National flood resilience review
   Araos M, 2021, ONE EARTH, V4, P1454, DOI 10.1016/j.oneear.2021.09.001
   ARNSTEIN SR, 1969, J AM I PLANNERS, V35, P216, DOI 10.1080/01944366908977225
   Bamberg S, 2017, J ENVIRON PSYCHOL, V54, P116, DOI 10.1016/j.jenvp.2017.08.001
   Beck U., 1992, Risk Society: Toward a New Modernity
   Begg C, 2018, J FLOOD RISK MANAG, V11, P180, DOI 10.1111/jfr3.12305
   Begg C, 2018, LOCAL ENVIRON, V23, P383, DOI 10.1080/13549839.2017.1422119
   Begg C, 2017, INT J WATER RESOUR D, V33, P591, DOI [10.1080/07900627.2016.1200, 10.1080/07900627.2016.1200961]
   Begg C, 2015, ENVIRON PLANN C, V33, P685, DOI 10.1068/c12216
   Benson D, 2016, ENVIRON SCI POLICY, V55, P326, DOI 10.1016/j.envsci.2015.05.013
   Benzie M, 2014, ECOL SOC, V19, DOI 10.5751/ES-06252-190139
   Berrang-Ford L, 2021, NAT CLIM CHANGE, V11, P989, DOI 10.1038/s41558-021-01170-y
   Bickerstaff K, 2008, ENVIRON PLANN A, V40, P1312, DOI 10.1068/a39150
   Bierbaum R, 2013, MITIG ADAPT STRAT GL, V18, P361, DOI 10.1007/s11027-012-9423-1
   Birkholz S, 2014, SCI TOTAL ENVIRON, V478, P12, DOI 10.1016/j.scitotenv.2014.01.061
   Blaikie P., 2003, At risk - Natural hazards, people's vulnerability and disasters
   Blunkell CT, 2017, LOCAL ENVIRON, V22, P492, DOI 10.1080/13549839.2016.1233525
   Lebbe TB, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.740602
   Botzen WJW, 2009, ECOL ECON, V68, P2265, DOI 10.1016/j.ecolecon.2009.02.019
   Bubeck P, 2013, GLOBAL ENVIRON CHANG, V23, P1327, DOI 10.1016/j.gloenvcha.2013.05.009
   Bubeck P, 2012, NAT HAZARD EARTH SYS, V12, P3507, DOI 10.5194/nhess-12-3507-2012
   Bubeck P, 2012, RISK ANAL, V32, P1481, DOI 10.1111/j.1539-6924.2011.01783.x
   Bubeck P, 2018, RISK ANAL, V38, P1239, DOI 10.1111/risa.12938
   Butler C, 2011, ENVIRON PLANN C, V29, P533, DOI 10.1068/c09181j
   Charlier RH, 2005, J COASTAL RES, V21, P79, DOI 10.2112/03561.1
   Climate Change Committee (CCC), 2018, MAN COAST CHANG CLIM
   Cologna V, 2017, CLIM RISK MANAG, V17, P1, DOI 10.1016/j.crm.2017.04.005
   Davey J., 2015, FUTURE DIRECTIONS CO, P26
   Dávila OG, 2014, COAST ENG, V87, P183, DOI 10.1016/j.coastaleng.2013.12.007
   Dawson RJ, 2011, GLOBAL ENVIRON CHANG, V21, P628, DOI 10.1016/j.gloenvcha.2011.01.013
   DeCuir-Gunby JT, 2011, FIELD METHOD, V23, P136, DOI 10.1177/1525822X10388468
   Defra, 2011, UNDERSTANDING RISKS
   Defra, 2013, SEC FUT AV AFF HOM I
   Department for Communities and Local Government, 2012, National Planning Policy Framework
   EA, 2020, National Flood and Coastal Erosion Risk Management Strategy for England
   Elrick-Barr CE, 2016, ENVIRON SCI POLICY, V63, P177, DOI 10.1016/j.envsci.2016.05.013
   Environment Agency, 2014, APP B SECT 19 DEC 20
   Everett G., 2013, WIT T ECOL ENV, V179:12, P511, DOI [10.2495/SC130431, DOI 10.2495/SC130431]
   Fereday J., 2006, International journal of qualitative methods, V5, P80, DOI [DOI 10.1177/160940690600500107, 10.1177/160940690600500107]
   Few R, 2007, CLIM POLICY, V7, P46, DOI 10.1080/14693062.2007.9685637
   Gersonius B, 2016, ECOL SOC, V21, DOI 10.5751/ES-08752-210428
   Grothmann T, 2006, NAT HAZARDS, V38, P101, DOI 10.1007/s11069-005-8604-6
   Haigh I.D., 2020, MCCIP Sci. Rev, V2020, P546, DOI DOI 10.14465/2020.ARC23.CFL
   Haigh ID, 2017, SCI DATA, V4, DOI 10.1038/sdata.2017.100
   Haigh ID, 2016, SCI DATA, V3, DOI 10.1038/sdata.2016.107
   Haigh ID, 2015, SCI DATA, V2, DOI 10.1038/sdata.2015.21
   Harvey N, 2019, MAR POLICY, V107, DOI 10.1016/j.marpol.2019.103566
   HM Government, 2020, Flood and Coastal Erosion Risk Management Policy Statement
   Horsburgh K, 2021, OCEAN DYNAM, V71, P715, DOI 10.1007/s10236-021-01453-0
   Hudson P, 2020, RISK ANAL, V40, P1151, DOI 10.1111/risa.13465
   Hudson P, 2019, GLOBAL ENVIRON CHANG, V58, DOI 10.1016/j.gloenvcha.2019.101966
   Huitema D, 2016, ECOL SOC, V21, DOI 10.5751/ES-08797-210337
   Ianniello M, 2019, PUBLIC MANAG REV, V21, P21, DOI 10.1080/14719037.2018.1438499
   Johnson CL, 2008, INT J WATER RESOUR D, V24, P513, DOI 10.1080/07900620801923146
   Kazmierczak A., 2010, INT J DISASTER RESIL, V1:2, P157, DOI [10.1108/17595901011056622, DOI 10.1108/17595901011056622]
   Kirby JA, 2021, OCEAN COAST MANAGE, V215, DOI 10.1016/j.ocecoaman.2021.105950
   Klein J, 2017, ENVIRON PLAN C-POLIT, V35, P1055, DOI 10.1177/0263774X16680819
   Koerth J, 2017, RISK ANAL, V37, P629, DOI 10.1111/risa.12663
   Koerth J, 2013, OCEAN COAST MANAGE, V82, P43, DOI 10.1016/j.ocecoaman.2013.05.008
   Kunreuther HC, 2015, RES HANDB LAW ECON, P15
   Lazarus ED, 2021, ANTHROPOCENE COASTS, V4, P137, DOI 10.1139/anc-2020-0023
   Lincolnshire Research Observatory, 2018, POP TRENDS LINC 2017
   Lincolnshire Research Observatory, 2013, QUAL LEV LINC
   Lincolnshire Research Observatory, 2016, GROSS DISP HOUS INC
   Lindley S., 2011, Climate change, justice and vulnerability
   Lumbroso DM, 2011, NAT HAZARD EARTH SYS, V11, P2321, DOI 10.5194/nhess-11-2321-2011
   MADDUX JE, 1983, J EXP SOC PSYCHOL, V19, P469, DOI 10.1016/0022-1031(83)90023-9
   Maritime Local Authorities, 2010, COAST HDB GUID ALL T
   McLennan B, 2014, AUST J EMERG MANAG, V29, P22
   McLennan BJ, 2012, ENVIRON HAZARDS-UK, V11, P1, DOI 10.1080/17477891.2011.608835
   Morrison A, 2018, J FLOOD RISK MANAG, V11, P291, DOI 10.1111/jfr3.12315
   Mulilis JP, 1997, J APPL SOC PSYCHOL, V27, P1750, DOI 10.1111/j.1559-1816.1997.tb01623.x
   Muñoz-Duque LA, 2021, INT J DISAST RISK RE, V60, DOI 10.1016/j.ijdrr.2021.102261
   Nalau J, 2015, ENVIRON SCI POLICY, V48, P89, DOI 10.1016/j.envsci.2014.12.011
   National Audit Office, 2014, STRAT FLOOD RISK MAN
   National Audit Office, 2020, MAN FLOOD RISK REP C
   Neumann B, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0118571
   Nicholls RJ, 2015, ADV GLOB CHANGE RES, V49, P1, DOI 10.1007/978-94-007-5258-0
   Nicholls RJ, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.710342
   Nye M, 2011, J FLOOD RISK MANAG, V4, P288, DOI 10.1111/j.1753-318X.2011.01114.x
   Office for National Statistics, 2017, COUNT UN AUTH DEC 20
   Owusu S, 2015, NAT HAZARDS, V77, P1963, DOI 10.1007/s11069-015-1686-x
   Pasquier U, 2020, ENVIRON SCI POLICY, V103, P50, DOI 10.1016/j.envsci.2019.10.016
   Peers S., 2018, STAT WOMEN ENG
   Penning-Rowsell EC, 2015, GEOFORUM, V62, P131, DOI 10.1016/j.geoforum.2015.03.019
   Penning-Rowsell E.C., 2015, WATER-SUI, V6, P601, DOI [10.1002/wat2.1104, DOI 10.1002/WAT2.1104]
   Pitt M., 2008, LEARNING LESSONS 200
   Porter JJ, 2015, GLOBAL ENVIRON CHANG, V35, P411, DOI 10.1016/j.gloenvcha.2015.10.004
   Poussin JK, 2015, GLOBAL ENVIRON CHANG, V31, P74, DOI 10.1016/j.gloenvcha.2014.12.007
   Prell C, 2009, SOC NATUR RESOUR, V22, P501, DOI 10.1080/08941920802199202
   Puzyreva K, 2021, INT J DISAST RISK RE, V52, DOI 10.1016/j.ijdrr.2020.101980
   QSR International Pty Ltd, 2018, NVIVO VERS 12
   R Core Team, 2022, R: A Language and Environment for Statistical Computing
   ROGERS RW, 1975, J PSYCHOL, V91, P93, DOI 10.1080/00223980.1975.9915803
   Ruocco AC, 2011, NAT HAZARDS, V59, P1773, DOI 10.1007/s11069-011-9868-7
   Saldana J., 2016, The coding manual for qualitative researchers, V3rd
   Saya S., 2017, BUILD BACK BETTER RE
   Sayers P.B., 2017, SAYERS PARTNERS LLP
   Sayers P, 2022, OCEAN COAST MANAGE, V225, DOI 10.1016/j.ocecoaman.2022.106187
   Sayers P, 2018, REG ENVIRON CHANGE, V18, P339, DOI 10.1007/s10113-017-1252-z
   Schanze J, 2016, E3S WEB CONF, V7, DOI 10.1051/e3sconf/20160708003
   Schneider T, 2014, ECOL SOC, V19, DOI 10.5751/ES-06282-190208
   Smith J, 2018, OCEAN COAST MANAGE, V161, P147, DOI 10.1016/j.ocecoaman.2018.04.026
   Snel KAW, 2021, J FLOOD RISK MANAG, V14, DOI 10.1111/jfr3.12727
   Strother L, 2022, RISK HAZARDS CRISIS, V13, P206, DOI 10.1002/rhc3.12233
   Surminski S, 2017, EARTHS FUTURE, V5, P979, DOI 10.1002/2017EF000587
   Terpstra T, 2011, RISK ANAL, V31, P1658, DOI 10.1111/j.1539-6924.2011.01616.x
   Thaler T, 2014, AREA, V46, P418, DOI 10.1111/area.12135
   Thistlethwaite J, 2020, INT J DISAST RISK SC, V11, P263, DOI 10.1007/s13753-020-00272-z
   Tompkins EL, 2008, J ENVIRON MANAGE, V88, P1580, DOI 10.1016/j.jenvman.2007.07.025
   Townend BIH, 2021, SCI TOTAL ENVIRON, V783, DOI 10.1016/j.scitotenv.2021.146880
   Tubridy D, 2021, PLAN PERSPECT, V36, P1249, DOI 10.1080/02665433.2021.1939115
   van der Plank S., 2021, COASTAL FLOOD RISK R, DOI [10.5258/SOTON/D1609[Dataset], DOI 10.5258/SOTON/D1609[DATASET]]
   van der Plank S., 2020, DATA SET SUPPORT THE, DOI [10.5258/SOTON/D1608[Dataset], DOI 10.5258/SOTON/D1608[DATASET]]
   van der Plank S, 2021, INT J DISAST RISK RE, V52, DOI 10.1016/j.ijdrr.2020.101961
   Vila-Concejo A, 2018, PALGR COMMUN, V4, DOI 10.1057/s41599-018-0154-0
   Vilcan T, 2017, RESILIENCE, V5, P29, DOI 10.1080/21693293.2016.1228157
   Welsh M, 2014, GEOGR J, V180, P15, DOI 10.1111/geoj.12012
   Zong YQ, 2003, NAT HAZARDS, V29, P13, DOI 10.1023/A:1022942801531
NR 121
TC 4
Z9 5
U1 2
U2 16
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2296-7745
J9 FRONT MAR SCI
JI Front. Mar. Sci.
PD SEP 23
PY 2022
VL 9
AR 954950
DI 10.3389/fmars.2022.954950
PG 27
WC Environmental Sciences; Marine & Freshwater Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Marine & Freshwater Biology
GA 5O6CG
UT WOS:000872558300001
OA gold, Green Accepted
DA 2025-01-10
ER

PT J
AU Loewen, CJG
   Jackson, DA
   Chu, C
   Alofs, KM
   Hansen, GJA
   Honsey, AE
   Minns, CK
   Wehrly, KE
AF Loewen, Charlie J. G.
   Jackson, Donald A.
   Chu, Cindy
   Alofs, Karen M.
   Hansen, Gretchen J. A.
   Honsey, Andrew E.
   Minns, Charles K.
   Wehrly, Kevin E.
TI Bioregions are predominantly climatic for fishes of northern lakes
SO GLOBAL ECOLOGY AND BIOGEOGRAPHY
LA English
DT Article
DE bioregionalization; climate change adaptation; community assembly;
   conservation biogeography; environmental filtering; freshwater fishes;
   lake connectivity; latent variable approach; network modularity; species
   sorting
ID FRESH-WATER FISHES; POSTGLACIAL DISPERSAL; BIOTIC INTEGRITY; ONTARIO;
   BIOGEOGRAPHY; COMMUNITIES; ASSEMBLAGES; TEMPERATURE; RICHNESS; PATTERNS
AB Aim Recurrent species assemblages integrate important biotic interactions and joint responses to environmental and spatial filters that enable local coexistence. Here, we applied a bipartite (site-species) network approach to develop a natural typology of lakes sharing distinct fish faunas and provide a detailed, hierarchical view of their bioregions. We then compared the roles of key biogeographical factors to evaluate alternative hypotheses about how fish communities are assembled from the regional species pool. Location Ontario, Canada and the Upper Midwest, USA. Time period 1957-2017. Major taxa studied Freshwater fishes. Methods Bipartite modularity analysis was performed on 90 taxa from 10,016 inland lakes in the Southwestern Hudson Bay, Mississippi River and St. Lawrence River drainages, uncovering bioregionalization of North American fishes at a large, subcontinental scale. We then used a latent variable approach, pairing non-metric partial least-squares structural equation modelling with multiple logistic regression, to show differences in the biogeographical templates of each type of community. Indicators of contemporary and historical connectivity, climate and habitat constructs were estimated using a geographical information system. Results Fish assemblages reflected broad, overlapping patterns of postglacial colonization, climate and geological setting, but community differentiation was most linked to temperature, precipitation and, for certain groups, lake area and water quality. Bioregions were also marked by non-native species, showing broad-scale impacts of introductions to the Great Lakes and surrounding basins. Main conclusions The dominant effects of climate across broad spatial gradients indicate differing sensitivities of fish communities to rapidly accelerating climate change and opportunities for targeted conservation strategies. By assessing biological variation at the level of recurrent assemblages, we accounted for the non-stationarity of macroecological processes structuring different sets of species on the landscape and offer novel inference on the assembly of inland fish communities.
C1 [Loewen, Charlie J. G.; Jackson, Donald A.; Chu, Cindy; Minns, Charles K.] Univ Toronto, Dept Ecol & Evolutionary Biol, 25 Willcocks St, Toronto, ON M5S 3B2, Canada.
   [Chu, Cindy] Ontario Minist Northern Dev Mines Nat Resources &, Peterborough, ON, Canada.
   [Alofs, Karen M.; Wehrly, Kevin E.] Univ Michigan, Sch Environm & Sustainabil, Ann Arbor, MI 48109 USA.
   [Hansen, Gretchen J. A.; Honsey, Andrew E.] Univ Minnesota, Dept Fisheries Wildlife & Conservat Biol, St Paul, MN 55108 USA.
   [Wehrly, Kevin E.] Michigan Dept Nat Resources, Inst Fisheries Res, Ann Arbor, MI USA.
   [Honsey, Andrew E.] US Geol Survey, Hammond Bay Biol Stn, Great Lakes Sci Ctr, Millersburg, MI USA.
C3 University of Toronto; University of Michigan System; University of
   Michigan; University of Minnesota System; University of Minnesota Twin
   Cities; United States Department of the Interior; United States
   Geological Survey
RP Loewen, CJG (corresponding author), Univ Toronto, Dept Ecol & Evolutionary Biol, 25 Willcocks St, Toronto, ON M5S 3B2, Canada.
EM charlie.loewen@utoronto.ca
RI Hansen, Gretchen/ABE-3860-2022; Chu, C/C-9091-2009; Minns,
   Charles/GYU-2209-2022; Loewen, Charlie/N-1352-2016
OI Loewen, Charlie/0000-0002-4389-4134; Alofs, Karen/0000-0002-4161-3554;
   Chu, Cindy/0000-0002-1914-3218; Honsey, Andrew/0000-0001-7535-1321;
   Hansen, Gretchen/0000-0003-0241-7048; Minns, Charles/0000-0003-2249-1624
FU Natural Sciences and Engineering Research Council of Canada
FX Natural Sciences and Engineering Research Council of Canada
CR Abell R, 2008, BIOSCIENCE, V58, P403, DOI 10.1641/B580507
   Alofs KM, 2014, DIVERS DISTRIB, V20, P123, DOI 10.1111/ddi.12130
   BAILEY RM, 1981, CAN J FISH AQUAT SCI, V38, P1539, DOI 10.1139/f81-206
   Beckett SJ, 2016, ROY SOC OPEN SCI, V3, DOI 10.1098/rsos.140536
   Bernardo-Madrid R, 2019, ECOL LETT, V22, P1297, DOI 10.1111/ele.13321
   Bloomfield NJ, 2018, ECOGRAPHY, V41, P1, DOI 10.1111/ecog.02596
   Brooks TM, 2006, SCIENCE, V313, P58, DOI 10.1126/science.1127609
   Carstensen DW, 2009, J BIOGEOGR, V36, P1540, DOI 10.1111/j.1365-2699.2009.02098.x
   Cazelles K, 2019, GLOBAL CHANGE BIOL, V25, P4222, DOI 10.1111/gcb.14829
   Comte L, 2018, P ROY SOC B-BIOL SCI, V285, DOI 10.1098/rspb.2017.2214
   Conroy N., 1976, CAN MINERAL, V14, P62
   Cordero RD, 2019, ECOSPHERE, V10, DOI 10.1002/ecs2.2797
   D'Arcy P, 1997, CAN J FISH AQUAT SCI, V54, P2215, DOI 10.1139/cjfas-54-10-2215
   Dias MS, 2014, ECOL LETT, V17, P1130, DOI 10.1111/ele.12319
   Dodge DouglasP., 1987, Manual of Instructions: Aquatic Habitat Inventory Surveys
   Dormann CF, 2013, ECOGRAPHY, V36, P27, DOI 10.1111/j.1600-0587.2012.07348.x
   Dormann CF., 2008, Interaction, V8, P8
   Drake MT, 2005, N AM J FISH MANAGE, V25, P1095, DOI 10.1577/M04-128.1
   Drake MT, 2002, N AM J FISH MANAGE, V22, P1105, DOI 10.1577/1548-8675(2002)022<1105:DOAFBI>2.0.CO;2
   Dyke AS, 2004, DEV QUA SCI, V2, P373, DOI 10.1016/S1571-0866(04)80209-4
   Edler D, 2017, SYST BIOL, V66, P197, DOI 10.1093/sysbio/syw087
   Ficetola GF, 2017, NAT ECOL EVOL, V1, DOI 10.1038/s41559-017-0089
   Finigan PA, 2018, CAN J ZOOL, V96, P753, DOI 10.1139/cjz-2017-0080
   Guimerà R, 2005, NATURE, V433, P895, DOI 10.1038/nature03288
   Hartmann J, 2012, GEOCHEM GEOPHY GEOSY, V13, DOI 10.1029/2012GC004370
   Heino J, 2021, BIOL REV, V96, P89, DOI 10.1111/brv.12647
   Herrera-R GA, 2020, GLOBAL CHANGE BIOL, V26, P5509, DOI 10.1111/gcb.15285
   Hitt NP, 2008, J N AM BENTHOL SOC, V27, P304, DOI 10.1899/07-096.1
   Jackson DA, 2001, CAN J FISH AQUAT SCI, V58, P157, DOI 10.1139/cjfas-58-1-157
   Jackson DA, 1997, CAN J FISH AQUAT SCI, V54, P2807, DOI 10.1139/cjfas-54-12-2807
   Keller W, 2019, ENVIRON REV, V27, P1, DOI 10.1139/er-2018-0018
   Lansac-Tôha FM, 2021, J BIOGEOGR, V48, P872, DOI 10.1111/jbi.14044
   LEGENDRE P, 1984, CAN J FISH AQUAT SCI, V41, P1781, DOI 10.1139/f84-220
   Leroy B, 2019, J BIOGEOGR, V46, P2407, DOI 10.1111/jbi.13674
   Lester NP, 2004, T AM FISH SOC, V133, P588, DOI 10.1577/T02-111.1
   Lester NP, 2003, N AM J FISH MANAGE, V23, P1312, DOI 10.1577/M01-230AM
   Loewen CJG, 2020, GLOBAL CHANGE BIOL, V26, P4937, DOI 10.1111/gcb.15225
   Lynch AJ, 2016, FISHERIES, V41, P346, DOI 10.1080/03632415.2016.1186016
   MACARTHUR RH, 1963, EVOLUTION, V17, P373, DOI 10.2307/2407089
   MAGNUSON JJ, 1979, AM ZOOL, V19, P331
   MANDRAK NE, 1992, CAN J ZOOL, V70, P2247, DOI 10.1139/z92-302
   MANDRAK NE, 1995, CAN J FISH AQUAT SCI, V52, P1462, DOI 10.1139/f95-141
   Mantyka-Pringle CS, 2014, J APPL ECOL, V51, P572, DOI 10.1111/1365-2664.12236
   Barbosa AM, 2013, DIVERS DISTRIB, V19, P1333, DOI 10.1111/ddi.12100
   McGarvey DJ, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0208720
   Melles SJ, 2015, LANDSCAPE ECOL, V30, P919, DOI 10.1007/s10980-014-0114-z
   Mitchell TD, 2005, INT J CLIMATOL, V25, P693, DOI 10.1002/joc.1181
   Montalvo-Mancheno CS, 2020, BIODIVERS CONSERV, V29, P1, DOI 10.1007/s10531-019-01913-6
   Neff MR, 2012, T AM FISH SOC, V141, P962, DOI 10.1080/00028487.2012.676591
   Notaro M, 2015, J CLIMATE, V28, P1661, DOI 10.1175/JCLI-D-14-00467.1
   Oikonomou A, 2014, HYDROBIOLOGIA, V738, P205, DOI 10.1007/s10750-014-1930-5
   Olden JD, 2008, GLOBAL ECOL BIOGEOGR, V17, P25, DOI 10.1111/j.1466-8238.2007.00340.x
   Olden JD, 2010, DIVERS DISTRIB, V16, P496, DOI 10.1111/j.1472-4642.2010.00655.x
   Ortega JCG, 2020, J ANIM ECOL, V89, P2427, DOI 10.1111/1365-2656.13329
   Petrarca F., 2017, Partial Least Sq Path Model, P259, DOI [10.1007/978-3-319-64069-3_12, DOI 10.1007/978-3-319-64069-3_12]
   R Core Team, 2019, R LANG ENV STAT COMP
   Reid AJ, 2019, BIOL REV, V94, P849, DOI 10.1111/brv.12480
   Rosvall M, 2008, P NATL ACAD SCI USA, V105, P1118, DOI 10.1073/pnas.0706851105
   Sanchez G., 2013, PLS Path Modeling with R: R Package Notes, V383, P551
   Sandstrom S., 2013, MANUAL INSTRUCTIONS
   SHUTER BJ, 1990, T AM FISH SOC, V119, P314, DOI 10.1577/1548-8659(1990)119<0314:CPVATZ>2.3.CO;2
   Smith C.L., 1971, The summer fish communities of Brier Creek, Marshall County, Oklahoma
   Strona G, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5114
   Thébault E, 2013, J BIOGEOGR, V40, P759, DOI 10.1111/jbi.12015
   TILZER MM, 1988, HYDROBIOLOGIA, V162, P163, DOI 10.1007/BF00014539
   Tjur T, 2009, AM STAT, V63, P366, DOI 10.1198/tast.2009.08210
   TONN WM, 1982, ECOLOGY, V63, P1149, DOI 10.2307/1937251
   Wang TL, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0156720
   Wehrly K.E., 2021, FISHERIES SPECIAL RE
   Wehrly KE, 2012, T AM FISH SOC, V141, P414, DOI 10.1080/00028487.2012.667046
NR 70
TC 5
Z9 5
U1 3
U2 30
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1466-822X
EI 1466-8238
J9 GLOBAL ECOL BIOGEOGR
JI Glob. Ecol. Biogeogr.
PD FEB
PY 2022
VL 31
IS 2
BP 233
EP 246
DI 10.1111/geb.13424
EA NOV 2021
PG 14
WC Ecology; Geography, Physical
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Physical Geography
GA YB0VH
UT WOS:000718650700001
OA Green Published
DA 2025-01-10
ER

PT J
AU Pandey, A
   Prakash, A
   Werners, SE
AF Pandey, Avash
   Prakash, Anjal
   Werners, Saskia E.
TI Matches, mismatches and priorities of pathways from a climate-resilient
   development perspective in the mountains of Nepal
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Climate change adaptation; Climate-resilient development;
   Climate-resilient development pathways; Stakeholder cooperation and
   coordination; Community engagement; Mountains
ID HYDROPOWER DEVELOPMENT; ADAPTATION PATHWAYS; VULNERABILITY; GOVERNANCE;
   FUTURE
AB The Hindu Kush Himalayan region is a documented climate change hotspot. The region is also known for its ongoing development challenges including those arising from reconstruction in the aftermath of natural disasters. Incepting the idea of climate-resilience in development planning has, therefore, become a necessity in this poverty-ridden region. To identify the strategies that have been envisaged by the stakeholders in terms of climate-resilient development, this paper singled out the stakeholders who are responsible for local-level development in the mid-hill region of Nuwakot which lies in central Nepal. Data was collected through the visioning and back-casting method and included interviews with community members, NGO experts and regional representatives. The study identified the activities and priorities of stakeholders based on different time horizons illustrating climate-resilient development pathways. The study found that community pathways address mostly current needs and climate variability and that future challenges do not play a central role in the selection of adaptation measures. Although a majority of the actors recognized climate-resilient development as a priority, it tends to be planned in silos without cooperation and coordination among themselves. The results reveal that the risks and vulnerabilities encountered by community members, who are at the receiving end of climate change, have not been incorporated into the development plans of the policymakers. The study concludes that development priorities should be formulated based on the identification of a need and proposes that future cooperation mechanisms for stakeholders should be brought under one umbrella and include a discussion of climate resilient development pathways that incorporates more community engagement so as not to lose the connection between country aspirations and community voices.
C1 [Pandey, Avash; Prakash, Anjal] Int Ctr Integrated Mt Dev, Lalitpur, Nepal.
   [Prakash, Anjal] Indian Sch Business, Hyderabad, India.
   [Werners, Saskia E.] Wageningen Univ & Res, Wageningen, Netherlands.
   [Werners, Saskia E.] United Nations Univ, Inst Environm & Human Secur, Bonn, Germany.
C3 Indian School of Business (ISB); Wageningen University & Research
RP Pandey, A (corresponding author), Int Ctr Integrated Mt Dev, Lalitpur, Nepal.
EM avash.pandey@icimod.org; Anjal_Prakash@isb.edu; saskia.werners@wur.nl
OI Pandey, Avash/0000-0001-6684-4319
FU Department for International Development, the U.K; International
   Development Research Centre, Ottawa, Canada; International Centre for
   Integrated Mountain Development, Kathmandu, Nepal (ICIMOD); government
   of Afghanistan; government of Australia; government of Austria;
   government of Bangladesh; government of Bhutan; government of China;
   government of India; government of Myanmar; government of Nepal;
   government of Norway; government of Pakistan; government of Switzerland;
   government of United Kingdom
FX This work was carried out by the Himalayan Adaptation, Water and
   Resilience (HI-AWARE) consortium under the Collaborative Adaptation
   Research Initiative in Africa and Asia (CARIAA) with financial support
   from the Department for International Development, the U.K. and the
   International Development Research Centre, Ottawa, Canada. This work was
   also partially supported by core funds of International Centre for
   Integrated Mountain Development, Kathmandu, Nepal (ICIMOD) contributed
   by the governments of Afghanistan, Australia, Austria, Bangladesh,
   Bhutan, China, India, Myanmar, Nepal, Norway, Pakistan, Switzerland, and
   the United Kingdom. The authors would like to thank Dr Philippus Wester
   of ICIMOD for his valuable comments and guidance during the entire
   process. We would also like to acknowledge the Hindu Kush Himalayan
   Monitoring and Assessment Programme (HIMAP) and Bharti Institute of
   Public Policy, Indian School of Business, for supporting professional
   time and resources in the preparation of this manuscript.
CR Adger WN, 2003, ECON GEOGR, V79, P387
   [Anonymous], 2014, MAR ECOL PROG SER
   [Anonymous], 2015, Adoption of the Paris Agreement
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Bhattarai B, 2015, WORLD DEV, V70, P122, DOI 10.1016/j.worlddev.2015.01.003
   Bosomworth K, 2017, ENVIRON SCI POLICY, V76, P23, DOI 10.1016/j.envsci.2017.06.007
   Brunner RonaldD., 2010, ADAPTIVE GOVERNANCE
   Butler JRA, 2016, CLIM RISK MANAG, V12, P1, DOI 10.1016/j.crm.2016.01.001
   Carlsson-Kanyama A, 2013, FUTURES, V49, P9, DOI 10.1016/j.futures.2013.02.008
   DCC, 2017, DISTR PROF NUW
   De Souza K, 2015, REG ENVIRON CHANGE, V15, P747, DOI 10.1007/s10113-015-0755-8
   Denton F, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1101
   Devkota SP., 2015, Journal of Poverty, Investment and Development, V8, P1
   Dong T.B, 2016, S ASIAN J, V4
   Drucza K, 2015, J SOC RES POLICY, V6
   England M., 2017, 9 HIAWARE
   Engle NL, 2014, MITIG ADAPT STRAT GL, V19, P1295, DOI 10.1007/s11027-013-9475-x
   Leal W, 2021, ENVIRON SCI POLICY, V121, P18, DOI 10.1016/j.envsci.2021.02.018
   Gajjar SP, 2019, CLIM DEV, V11, P223, DOI 10.1080/17565529.2018.1442793
   Haasnoot M, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01623-8
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   HI-AWARE, 2018, CLIM CHANG CRI UNPUB
   Hussain A, 2019, RENEW SUST ENERG REV, V107, P446, DOI 10.1016/j.rser.2019.03.010
   Immerzeel WW, 2020, NATURE, V577, P364, DOI 10.1038/s41586-019-1822-y
   Jordan AJ, 2015, NAT CLIM CHANGE, V5, P977, DOI 10.1038/NCLIMATE2725
   Joshi L.R., 2017, J ENVIRON SCI, V3
   Kovács EK, 2019, GEOFORUM, V107, P88, DOI 10.1016/j.geoforum.2019.10.008
   Kraaijenbrink PDA, 2017, NATURE, V549, P257, DOI 10.1038/nature23878
   Krishnan R, 2019, HINDU KUSH HIMALAYA ASSESSMENT: MOUNTAINS, CLIMATE CHANGE, SUSTAINABILITY AND PEOPLE, P57, DOI 10.1007/978-3-319-92288-1_3
   Lamichhane N., 2020, 25 HIAWARE
   Lipper L, 2014, NAT CLIM CHANGE, V4, P1068, DOI [10.1038/NCLIMATE2437, 10.1038/nclimate2437]
   Mishra Mira, 2019, Dhaulagiri Journal of Sociology and Anthropology, V13, P11, DOI 10.3126/dsaj.v13i0.26183
   Mitchell T., 2010, CDKN ODI Policy Brief
   MoAD, 2015, AGR DEV STRAT ADS 20, DOI [10.1016/S0022-3913(12)00047-9, DOI 10.1016/S0022-3913(12)00047-9]
   Murton G, 2016, EURASIAN GEOGR ECON, V57, P403, DOI 10.1080/15387216.2016.1236349
   Niemeyer S, 2005, RISK ANAL, V25, P1443, DOI 10.1111/j.1539-6924.2005.00691.x
   Nightingale AJ, 2017, GEOFORUM, V84, P11, DOI 10.1016/j.geoforum.2017.05.011
   O'Brien K., 2015, Climate Change Adaptation and Development: Transforming Paradigms and Practices
   Padmalal Bishwakarma, 2004, NAT SEM RAIS DAL PAR
   Pandey A, 2020, WATER POLICY, V22, P1082, DOI 10.2166/wp.2020.231
   Pyakurel U., 2021, REPROD INEQUALITY SO
   Quist J, 2006, FUTURES, V38, P1027, DOI 10.1016/j.futures.2006.02.010
   Regmi B. R, 2016, 6 HIAWARE
   Rosenzweig C, 2018, NAT CLIM CHANGE, V8, P756, DOI 10.1038/s41558-018-0267-x
   Sapkota P, 2016, J RURAL STUD, V48, P53, DOI 10.1016/j.jrurstud.2016.09.007
   Schneider SH, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P779
   Sharma-Wallace L, 2018, J ENVIRON MANAGE, V222, P174, DOI 10.1016/j.jenvman.2018.05.067
   Siderius C, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0149397
   Singh PK, 2021, J CLEAN PROD, V284, DOI 10.1016/j.jclepro.2020.124744
   The Asia Foundation (TAF), 2012, GUID GOV NEP STRUCT
   Tucker J, 2015, REG ENVIRON CHANGE, V15, P783, DOI 10.1007/s10113-014-0741-6
   Turner-Walker Turner-Walker Skye Skye, Climate change research, policy and actions in Indonesia: Science, adaptation and mitigation, P53
   Vervoort JM, 2014, GLOBAL ENVIRON CHANG, V28, P383, DOI 10.1016/j.gloenvcha.2014.03.001
   Watkiss, 2015, REV EC ADAPTATION CL
   Werners SE, 2021, ENVIRON SCI POLICY, V116, P266, DOI 10.1016/j.envsci.2020.11.003
   Werners SE, 2018, HI-AWARE Working Paper 19
   Wester P, 2019, HINDU KUSH HIMALAYA ASSESSMENT: MOUNTAINS, CLIMATE CHANGE, SUSTAINABILITY AND PEOPLE, P1, DOI 10.1007/978-3-319-92288-1
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
NR 58
TC 14
Z9 15
U1 2
U2 17
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 1462-9011
EI 1873-6416
J9 ENVIRON SCI POLICY
JI Environ. Sci. Policy
PD NOV
PY 2021
VL 125
BP 135
EP 145
DI 10.1016/j.envsci.2021.08.013
EA SEP 2021
PG 11
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA WC8BR
UT WOS:000704478000002
OA hybrid
DA 2025-01-10
ER

PT J
AU Hewer, MJ
   Gough, WA
AF Hewer, Micah J.
   Gough, William A.
TI Climate change impact assessment on grape growth and wine production in
   the Okanagan Valley (Canada)
SO CLIMATE RISK MANAGEMENT
LA English
DT Article
DE Viticulture; Oenology; Climate risk; Climatic suitability; Kelowna
   (British Columbia); Climate change impacts and adaptation; Canadian
   geography
ID WINEGRAPE-GROWING REGIONS; DOWNSCALING EXTREMES; POTENTIAL IMPACT;
   BRITISH-COLUMBIA; VARIABILITY; WEATHER; QUALITY; MODEL; VITICULTURE;
   ADAPTATION
AB This study assesses the impacts of observed (1970-2019) and projected (2011-2100) climate change on key indicators and critical thresholds for grape growth (viticulture) and wine production (oenology) in the Okanagan Valley of British Columbia (Canada). Observational data was retrieved from the Kelowna weather station located in the centre of the valley. Indicators and thresholds associated with climate risks and climatic suitability were identified from among previous impact assessments on grape and wine within cool climate viticultural areas. Climate change projections from Global Climate Models were retrieved from the Climate Model Inter comparison Project 5, including both medium (RCP4.5) and high (RCP8.5) Representative Concentration Pathways. Two different statistical downscaling techniques were employed, evaluated, and selected, based on their ability to reproduce historical climate conditions. Scenarios from the Statistical Down-Scaling Model were used for temperature projections while scenarios from the Pacific Climate Impacts Consortium were used for precipitation projections. All the temperature variables considered demonstrated statistically significant warming trends during the historical period with continued warming projected over the course of the 21st century. Precipitation trends were less conclusive, with a wetter climate projected despite some evidence of historical drying. The results of this study demonstrate that the Okanagan Valley has already transitioned from cool to intermediate climate viticulture and may shift further into warm climate viticultural classifications. This means greater climate risks associated with heat stress but less risk due to freeze damage and frost potential. Effective climate change adaptation is of critical importance to the grape and wine industry in this region. Such planning and management strategies can ensure climate risks are minimised while capitalising on new opportunities associated with improved climatic suitability for growing more Europeans grape varieties, capable of producing higher quality wines, which often sell for greater market prices.
C1 [Hewer, Micah J.; Gough, William A.] Univ Toronto Scarborough, Dept Phys & Environm Sci, Toronto, ON, Canada.
C3 University of Toronto; University Toronto Scarborough
RP Hewer, MJ (corresponding author), Univ Toronto Scarborough, Dept Phys & Environm Sci, Toronto, ON, Canada.
EM micah.hewer@utoronto.ca
RI Gough, William/L-5231-2013
OI Hewer, Micah/0000-0003-4524-8184
FU NSERC [RGPIN-2018-06801]
FX This research is supported by NSERC Grant #RGPIN-2018-06801.
CR Agriculture and Agri-food Canada (AAFC), 2018, BC WIN FACTS
   Amerine M. A., 1944, HILGARDIA, V15, P493
   ANEY WW, 1975, AM J ENOL VITICULT, V25, P212
   [Anonymous], 1974, General viticulture
   [Anonymous], 1978, Comptes Rendus de l'Academie d'Agriculture France
   BC Wine Institute, 2020, EC IMP BC WIN IND
   Beech N., 2021, CLIMATE CHANGE IMPAC
   Belliveau S, 2006, GLOBAL ENVIRON CHANG, V16, P364, DOI 10.1016/j.gloenvcha.2006.03.003
   Bürger G, 2013, J CLIMATE, V26, P3429, DOI 10.1175/JCLI-D-12-00249.1
   Bürger G, 2012, J CLIMATE, V25, P4366, DOI 10.1175/JCLI-D-11-00408.1
   Caprio JM, 2006, CAN J PLANT SCI, V86, P259, DOI 10.4141/P05-032
   Caprio JM, 2002, CAN J PLANT SCI, V82, P755, DOI 10.4141/P01-160
   Caprio JM, 1999, CAN J PLANT SCI, V79, P129, DOI 10.4141/P98-028
   Croitoru AE, 2013, THEOR APPL CLIMATOL, V112, P597, DOI 10.1007/s00704-012-0755-2
   de Martonne E, 1926, CR HEBD ACAD SCI, V182, P1395
   de Orduña RM, 2010, FOOD RES INT, V43, P1844, DOI 10.1016/j.foodres.2010.05.001
   Diffenbaugh NS, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/2/024024
   Environment and Climate Change Canada (ECCC), 2017, ADJ HOM CAN CLIM DAT
   European Climate Assessment & Dataset (ECAD), 2020, BLEND DAT
   Forster P., 2007, Climate Change 2007: the Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Vvol. 59
   Galvan TL., 2006, Plant Health Progress, DOI DOI 10.1094/PHP-2006-0607-01-BR
   Gough WA, 2008, THEOR APPL CLIMATOL, V94, P97, DOI 10.1007/s00704-007-0346-9
   Hall A, 2010, AUST J GRAPE WINE R, V16, P389, DOI 10.1111/j.1755-0238.2010.00100.x
   Hannah L, 2013, P NATL ACAD SCI USA, V110, P6907, DOI 10.1073/pnas.1210127110
   Hewer MJ, 2021, THEOR APPL CLIMATOL, V144, P1059, DOI 10.1007/s00704-021-03581-5
   Hewer Micah J., 2020, Journal of Wine Research, V31, P6, DOI 10.1080/09571264.2019.1699781
   Hewer MJ, 2019, WEATHER CLIM SOC, V11, P291, DOI 10.1175/WCAS-D-18-0025.1
   Hewer MJ, 2016, ATMOSPHERE-BASEL, V7, DOI 10.3390/atmos7050071
   Holland T, 2014, REG ENVIRON CHANGE, V14, P1109, DOI 10.1007/s10113-013-0555-y
   Hopkinson RF, 2012, J APPL METEOROL CLIM, V51, P1508, DOI 10.1175/JAMC-D-12-018.1
   JACKSON DI, 1993, AM J ENOL VITICULT, V44, P409
   JACKSON DI, 1988, AM J ENOL VITICULT, V39, P19
   Jones G. V., 2010, Journal of Wine Research, V21, P103, DOI 10.1080/09571264.2010.530091
   Jones GV, 2008, CLIM RES, V35, P241, DOI 10.3354/cr00708
   Jones GV, 2005, CLIMATIC CHANGE, V73, P319, DOI 10.1007/s10584-005-4704-2
   Jones Norman K., 2019, Journal of Wine Research, V30, P322, DOI 10.1080/09571264.2019.1652153
   Jones Norman K., 2012, Journal of Wine Research, V23, P103, DOI 10.1080/09571264.2012.678933
   Jones Norman Kenneth, 2018, Journal of Wine Research, V29, P120, DOI 10.1080/09571264.2018.1472074
   KRIEDEMANN P E, 1968, Vitis, V7, P213
   Ludlow L., 2018, GEN LINEAR MODEL J, V44, P11, DOI [10.31523/glmj.044001.002, DOI 10.31523/GLMJ.044001.002]
   Macadam I, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL043877
   McKenney DW, 2011, B AM METEOROL SOC, V92, P1611, DOI 10.1175/2011BAMS3132.1
   Moriondo M, 2013, CLIMATIC CHANGE, V119, P825, DOI 10.1007/s10584-013-0739-y
   Mosedale JR, 2016, GLOBAL CHANGE BIOL, V22, P3814, DOI 10.1111/gcb.13406
   Nesbitt A, 2018, J LAND USE SCI, V13, P414, DOI 10.1080/1747423X.2018.1537312
   Olfert O, 2006, AGR ECOSYST ENVIRON, V113, P295, DOI 10.1016/j.agee.2005.10.017
   Pachauri RK, 2014, 2014 IEEE STUDENTS' CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER SCIENCE (SCEECS)
   Quamme HA, 2010, CAN J PLANT SCI, V90, P85, DOI 10.4141/CJPS09042
   Rayne S, 2016, SCI TOTAL ENVIRON, V556, P169, DOI 10.1016/j.scitotenv.2016.02.200
   Roy P, 2017, CLIMATIC CHANGE, V143, P43, DOI 10.1007/s10584-017-1960-x
   Sagristà E, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01673-y
   Saguez J, 2013, J INT SCI VIGNE VIN, V47, P69
   Schultze SR, 2019, J APPL METEOROL CLIM, V58, P1141, DOI 10.1175/JAMC-D-18-0183.1
   Schultze SR, 2014, AM J ENOL VITICULT, V65, P179, DOI 10.5344/ajev.2013.13063
   Shaw Anthony B., 1999, Journal of Wine Research, V10, P79, DOI 10.1080/09571269908718164
   Shaw Tony B., 2017, Journal of Wine Research, V28, P13, DOI 10.1080/09571264.2016.1238349
   Statista, 2020, OUTL WORLDW WIN
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Tate A. B., 2001, Journal of Wine Research, V12, P95, DOI 10.1080/09571260120095012
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Tonietto J, 2004, AGR FOREST METEOROL, V124, P81, DOI 10.1016/j.agrformet.2003.06.001
   Tóth JP, 2016, AUST J GRAPE WINE R, V22, P64, DOI 10.1111/ajgw.12168
   Vincent LA, 2018, ATMOS OCEAN, V56, P332, DOI 10.1080/07055900.2018.1514579
   Vincent LA, 2020, ATMOS OCEAN, V58, P173, DOI 10.1080/07055900.2020.1765728
   White MA, 2006, P NATL ACAD SCI USA, V103, P11217, DOI 10.1073/pnas.0603230103
   Wilby RL, 2013, INT J CLIMATOL, V33, P1707, DOI 10.1002/joc.3544
   Wilby RL, 2002, ENVIRON MODELL SOFTW, V17, P147
   Wine and Vine Research, 2019, WIN REG WORLD OK VAL
   Wine Growers Canada, 2017, OUR IND
   Wood AW, 2004, CLIMATIC CHANGE, V62, P189, DOI 10.1023/B:CLIM.0000013685.99609.9e
   Zhang X., 2019, Canada's changing climate report, P112
NR 71
TC 11
Z9 12
U1 2
U2 31
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0963
J9 CLIM RISK MANAG
JI CLIM. RISK MANAG.
PY 2021
VL 33
AR 100343
DI 10.1016/j.crm.2021.100343
EA JUL 2021
PG 17
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA UH0ZG
UT WOS:000689668300001
OA gold
DA 2025-01-10
ER

PT C
AU Qiu, MN
   Babbar-Sebens, M
   Ostfeld, A
AF Qiu, Mengning
   Babbar-Sebens, Meghna
   Ostfeld, Avi
BE Baldwin, LA
   Gude, VG
TI Design and Operation of Agricultural Water Distribution Systems as Hard
   and Soft Climate Change Adaptation Strategy
SO WORLD ENVIRONMENTAL AND WATER RESOURCES CONGRESS 2021: PLANNING A
   RESILIENT FUTURE ALONG AMERICA'S FRESHWATERS
LA English
DT Proceedings Paper
CT 22nd World Environmental and Water Resources Congress
CY JUN 07-11, 2021
CL ELECTR NETWORK
SP Amer Soc Civil Engineers, Amer Soc Civil Engineers, Environm & Water Resources Inst
AB The accelerating impacts of climate change pose significant threats to the agriculture sectors. On one hand, the rising summer temperature caused by climate change increases the agricultural water demand due to a higher rate of soil water evaporation and higher crop water demands. On the other hand, a decrease in precipitation amounts and timing threatens the availability of water for rainfed and irrigated agriculture. As such, the current patterns in water usage from existing water resources may soon be insufficient particularly during the warm seasons. Hard adaptation strategies involving infrastructure development and expansion, such as agricultural water systems for water transfers and surface water storage, have the potential to safeguard national and international food security. This study presents a conceptual model to simultaneous design, operation, and layout of an agricultural water distribution systems using robust optimization to deal with the uncertainties in the climate-change impacted agriculture water demand models while considering the impacts on crop yields. An integrated assessment model (IAM), involving climate change projections, a hydrologic model, and a crop production model, is used to determine the water demand at each crop field node. The water demands determined by the IAM can have significant uncertainties due to inherent uncertainties that exist in sub-models and input data. These water demand uncertainties are represented by deterministic variability in robust optimization. Meanwhile, continuous water supplies can incentivize the farmers to adapt to a new and higher yield crop rotation. Therefore, water demand at each node is also correlated to the potential yields, which is bounded above by the water rights assigned to each node. We will demonstrate the use and effectiveness of this approach in the agriculture communities of Umatilla River Basin, Oregon, USA, where water rights, environmental laws, Columbia River Treaty, and overused groundwater aquifers constrain water use and distribution for irrigated agriculture.
C1 [Qiu, Mengning; Ostfeld, Avi] Technion, Israel Inst Technol, Fac Civil & Environm Engn, Haifa, Israel.
   [Babbar-Sebens, Meghna] Oregon State Univ, Sch Civil & Construct Engn, Corvallis, OR 97331 USA.
C3 Technion Israel Institute of Technology; Oregon State University
RP Qiu, MN (corresponding author), Technion, Israel Inst Technol, Fac Civil & Environm Engn, Haifa, Israel.
EM mengning.qiu@campus.technion.ac.il; meghna@oregonstate.edu;
   ostfeld@technion.ac.il
FU Israel Science Foundation [555/18]; U.S. Department of Agriculture
   (USDA) National Institute of Food and Agriculture (NIFA) via an
   interagency partnership between USDA-NIFA [2017-67003-26057]; National
   Science Foundation (NSF) on the research program Innovations at the
   Nexus of Food, Energy and Water Systems
FX This research was supported partly by the Israel Science Foundation
   (grant No. 555/18), and partly by the U.S. Department of Agriculture
   (USDA) National Institute of Food and Agriculture (NIFA) (Award Number
   2017-67003-26057) via an interagency partnership between USDA-NIFA and
   the National Science Foundation (NSF) on the research program
   Innovations at the Nexus of Food, Energy and Water Systems. Any
   opinions, findings, and conclu-sions or recommendations expressed in
   this material are those of the author(s) and do not necessarily reflect
   the views of the NSF, USDA-NIFA, and/or ISF.
CR Adger WN, 2003, ENVIRON PLANN A, V35, P1095, DOI 10.1068/a35289
   Cunha MD, 2010, J WATER RES PLAN MAN, V136, P227, DOI 10.1061/(ASCE)WR.1943-5452.0000029
   Doorenbos J., 1979, YIELD RESPONSE WATER
   Elshorbagy WE, 1997, ENG OPTIMIZ, V27, P279, DOI 10.1080/03052159708941409
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   Haasnoot M, 2012, CLIMATIC CHANGE, V115, P795, DOI 10.1007/s10584-012-0444-2
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Israel Ministry of Environmental Protection, 2009, COPING CLIMATE CHANG, P3
   Jones DF, 2002, EUR J OPER RES, V137, P1, DOI 10.1016/S0377-2217(01)00123-0
   Kenny G, 2011, CLIMATIC CHANGE, V106, P441, DOI 10.1007/s10584-010-9948-9
   MINTZBERG H, 1976, ADMIN SCI QUART, V21, P246, DOI 10.2307/2392045
   Moser SC, 2008, MITIG ADAPT STRAT GL, V13, P643, DOI 10.1007/s11027-007-9132-3
   MULVEY JM, 1995, OPER RES, V43, P264, DOI 10.1287/opre.43.2.264
   SCHRAMM G, 1980, NAT RESOUR J, V20, P787
   Simon HA, 1955, Q J ECON, V69, P99, DOI 10.2307/1884852
   Staes J, 2008, NATO SCI PEACE SECUR, P263, DOI 10.1007/978-1-4020-6736-5_18
   Walthall C.L., 2013, CLIMATE CHANGE AGR U
   Watkins DW, 1997, J WATER RES PLAN MAN, V123, P49, DOI 10.1061/(ASCE)0733-9496(1997)123:1(49)
NR 18
TC 1
Z9 1
U1 0
U2 1
PU AMER SOC CIVIL ENGINEERS
PI NEW YORK
PA UNITED ENGINEERING CENTER, 345 E 47TH ST, NEW YORK, NY 10017-2398 USA
BN 978-0-7844-8346-6
PY 2021
BP 1069
EP 1080
PG 12
WC Engineering, Environmental; Engineering, Civil; Water Resources
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Engineering; Water Resources
GA BT9PL
UT WOS:000863673400100
DA 2025-01-10
ER

PT J
AU Grigulis, K
   Lavorel, S
AF Grigulis, Karl
   Lavorel, Sandra
TI Simple field -based surveys reveal climate -related anomalies in
   mountain grassland production
SO ECOLOGICAL INDICATORS
LA English
DT Article
DE Grassland biomass; Climate response; Long-term monitoring;
   Tipping-point; Mountain livestock farming
ID LAND-USE; ALPINE GRASSLAND; PLANT TRAITS; SWARD HEIGHT; ECOSYSTEM;
   MODEL; COMMUNITIES; MANAGEMENT; DROUGHT; ALPS
AB Sensitivity of grassland biomass production to climate is critical to impacts on multiple ecological processes and ecosystem services. Understanding its climate determinants is essential for climate change adaptation. This requires long-term monitoring, using robust methods that are appropriated by stakeholders. We tested the sensitivity of easily measured sward height to interannual climate variation in mountain grasslands. Using twelve consecutive years of measurements across 67 grassland plots representative of six land-use types associated with different landscape positions, we show that peak green biomass increased with mean summer months (June and July) maximum temperature. Different land-use types responded to specific combinations of climate parameters, but all except higher-elevation summer pastures were sensitive to summer months temperatures. We did not detect any effects of drought, with summer precipitation instead decreasing peak biomass of some grasslands due to cooling and cloudiness, also suggesting that soil water recharge from snowmelt was enough to sustain the first growth cycle. Summer pasture peak biomass decreased with number of frosts during the onset of growth in May. These result support the robustness and sensitivity of sward height as an indicator for climate response of peak fodder biomass. Differential responses across land-use types suggest some resource complementarity which can support tactical adaptation for farmers. During the three recent hottest summers (2015, 2017 and 2018) production was well below predicted values from actual temperatures, suggesting a potential regime shift when the vegetative growth period is shortened by temperature-driven acceleration in phenology and/or heat stress combined with high light intensity causing physiological damage. The baseline regime and the anomalies in hottest years need confirmation for longer time series and across a greater geographic extent. Further effects of drought and of an extended growing season are also likely for post-harvest or grazing regrowth.
C1 [Grigulis, Karl; Lavorel, Sandra] Univ Grenoble Alpes, Univ Savoie Mt Blanc, Lab Ecol Alpine, CNRS, F-38000 Grenoble, France.
C3 Communaute Universite Grenoble Alpes; Universite Grenoble Alpes (UGA);
   Centre National de la Recherche Scientifique (CNRS); Universite Savoie
   Mont Blanc
RP Grigulis, K (corresponding author), Univ Grenoble Alpes, Univ Savoie Mt Blanc, Lab Ecol Alpine, CNRS, F-38000 Grenoble, France.
EM karl.grigulis@univ-grenoble-alpes.fr
RI Lavorel, Sandra/AGM-2903-2022
FU French Agence Nationale pour la Recherche (ANR) [ANR-12-EBID-004-01,
   ANR-16-CE93-0008-01]; Agence Nationale de la Recherche (ANR)
   [ANR-16-CE93-0008] Funding Source: Agence Nationale de la Recherche
   (ANR)
FX This research was carried out as part of LTSER Zone Atelier Alpes and
   the Sentinelles des Alpes - Alpages Sentinelles Programme, with joint
   funding from French Agence Nationale pour la Recherche (ANR) projects
   REGARDS (ANR-12-EBID-004-01) and MtnPaths (ANR-16-CE93-0008-01). This
   publication contributes to ANR Investissements d'Avenir CDP Trajectories
   (ANR-15-IDEX-02).
CR Andrieu N, 2007, AGR ECOSYST ENVIRON, V120, P359, DOI 10.1016/j.agee.2006.10.022
   [Anonymous], 2014, J ALPINE RES, DOI DOI 10.4000/RGA.2455
   Ansquer P, 2009, GRASS FORAGE SCI, V64, P57, DOI 10.1111/j.1365-2494.2008.00670.x
   Beniston M, 2018, CRYOSPHERE, V12, P759, DOI 10.5194/tc-12-759-2018
   Beniston M, 2015, CLIMATIC CHANGE, V129, P225, DOI 10.1007/s10584-015-1325-2
   Calanca P, 2016, FIELD CROP RES, V187, P12, DOI 10.1016/j.fcr.2015.12.008
   Carlson BZ, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa84bd
   Carlson BZ, 2015, ANN BOT-LONDON, V116, P1023, DOI 10.1093/aob/mcv041
   Choler P, 2018, PERSPECT PLANT ECOL, V30, P6, DOI 10.1016/j.ppees.2017.11.002
   Choler P, 2015, BIOGEOSCIENCES, V12, P3885, DOI 10.5194/bg-12-3885-2015
   Corona-Lozada MC, 2019, AGR FOREST METEOROL, V276, DOI 10.1016/j.agrformet.2019.107617
   Cremonese E, 2017, AGR FOREST METEOROL, V247, P320, DOI 10.1016/j.agrformet.2017.08.016
   Darnhofer I, 2014, EUR REV AGRIC ECON, V41, P461, DOI 10.1093/erae/jbu012
   De Boeck HJ, 2016, NEW PHYTOL, V209, P531, DOI 10.1111/nph.13601
   Deléglise C, 2019, MT RES DEV, V39, pD27, DOI 10.1659/MRD-JOURNAL-D-18-00077.1
   Dray S, 2007, J STAT SOFTW, V22, P1, DOI 10.18637/jss.v022.i04
   Dumont B, 2015, GRASS FORAGE SCI, V70, P239, DOI 10.1111/gfs.12169
   Durand Y, 2009, J APPL METEOROL CLIM, V48, P2487, DOI 10.1175/2009JAMC1810.1
   Durand Y, 2009, J APPL METEOROL CLIM, V48, P429, DOI 10.1175/2008JAMC1808.1
   Duru M, 2010, FOURRAGES, P37
   Duru M, 2010, CROP PASTURE SCI, V61, P420, DOI 10.1071/CP09296
   Feld CK, 2009, OIKOS, V118, P1862, DOI 10.1111/j.1600-0706.2009.17860.x
   Folke C, 2004, ANNU REV ECOL EVOL S, V35, P557, DOI 10.1146/annurev.ecolsys.35.021103.105711
   Forsmoo J, 2018, J APPL ECOL, V55, P2587, DOI 10.1111/1365-2664.13148
   Fraser L.H., 2018, GRASSLANDS CLIMATE C, P82
   Garnier E, 2007, ANN BOT-LONDON, V99, P967, DOI 10.1093/aob/mcl215
   Grassein F, 2010, ANN BOT-LONDON, V106, P637, DOI 10.1093/aob/mcq154
   GREC-Sud, 2018, IMP CHANG CLIM TRANS
   Guo L, 2018, PLANT SOIL, V425, P177, DOI 10.1007/s11104-018-3582-0
   Henebry G.M., 2013, Phenology: An Integrative Environmental Science, P197, DOI [DOI 10.1007/978-94-007-6925-0_11, DOI 10.1007/978-94-007-6925-0]
   Hock R., 2020, HIGH MOUNTAIN AREAS
   Hoover DL, 2014, ECOLOGY, V95, P2646, DOI 10.1890/13-2186.1
   Jager H., 2017, MAPPING SUPPLY DEMAN
   Jonas T, 2008, J GEOPHYS RES-BIOGEO, V113, DOI 10.1029/2007JG000680
   Jouglet J.-P., 1999, VEGETATIONS ALPAGES
   Jung V, 2014, J ECOL, V102, P45, DOI 10.1111/1365-2745.12177
   Karlowsky S, 2018, J ECOL, V106, P1230, DOI 10.1111/1365-2745.12910
   Klein G, 2018, INT J BIOMETEOROL, V62, P1755, DOI 10.1007/s00484-018-1578-3
   Korner C., 2005, MILLENIUM ECOSYSTEM, P681
   Korner C., 1999, ALPINE PLANT LIFE PL
   Lavorel S, 2019, ECOL REV, P131
   Lavorel S, 2011, J ECOL, V99, P135, DOI 10.1111/j.1365-2745.2010.01753.x
   Liancourt P, 2015, GLOBAL CHANGE BIOL, V21, P3489, DOI 10.1111/gcb.12934
   Liu D, 2019, SCI BULL, V64, P446, DOI 10.1016/j.scib.2019.03.012
   Liu HY, 2018, P NATL ACAD SCI USA, V115, P4051, DOI 10.1073/pnas.1700299114
   Liu Q, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-017-02690-y
   Marriott CA, 2004, AGRONOMIE, V24, P447, DOI 10.1051/agro:2004041
   Nettier B., 2016, ADAPTATION CHANGEMEN
   Nettier B, 2017, ECOL SOC, V22, DOI [10.5751/ES-09625-220425, 10.5751/es-09625-220425]
   Oliveras I, 2014, AUSTRAL ECOL, V39, P408, DOI 10.1111/aec.12098
   Pakeman RJ, 2011, ECOLOGY, V92, P1353, DOI 10.1890/10-1728.1
   Quétier F, 2007, ECOL MONOGR, V77, P33, DOI 10.1890/06-0054
   Redjadj C, 2012, ALPINE BOT, V122, P57, DOI 10.1007/s00035-012-0100-5
   Reed MS, 2008, ECOL APPL, V18, P1253, DOI 10.1890/07-0519.1
   Rogora M, 2018, SCI TOTAL ENVIRON, V624, P1429, DOI 10.1016/j.scitotenv.2017.12.155
   Sautier M, 2013, CLIMATIC CHANGE, V120, P341, DOI 10.1007/s10584-013-0808-2
   Schirpke U, 2019, SCI TOTAL ENVIRON, V651, P928, DOI 10.1016/j.scitotenv.2018.09.235
   Soliman WS, 2011, GRASSL SCI, V57, P101, DOI 10.1111/j.1744-697X.2011.00214.x
   Stampfli A, 2018, GLOBAL CHANGE BIOL, V24, P2021, DOI 10.1111/gcb.14046
   Stewart KEJ, 2001, J APPL ECOL, V38, P1148, DOI 10.1046/j.1365-2664.2001.00658.x
   Theau J.P., 2006, HERBAGE METHODE CALC
   Thornthwaite C.W., 1955, PUBLICATIONS CLIMATO, V8, P1
   Tothill JC, 1992, BOTANAL COMPREHENSIV, V1
   Trnka M, 2006, GRASS FORAGE SCI, V61, P253, DOI 10.1111/j.1365-2494.2006.00530.x
   Verfaillie D, 2018, CRYOSPHERE, V12, P1249, DOI 10.5194/tc-12-1249-2018
   Zubler EM, 2014, CLIMATIC CHANGE, V123, P255, DOI 10.1007/s10584-013-1041-8
NR 66
TC 7
Z9 7
U1 3
U2 44
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1470-160X
EI 1872-7034
J9 ECOL INDIC
JI Ecol. Indic.
PD SEP
PY 2020
VL 116
AR 106519
DI 10.1016/j.ecolind.2020.106519
PG 9
WC Biodiversity Conservation; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA LY1JN
UT WOS:000540278400027
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Blanco, V
   Brown, C
   Holzhauer, S
   Vulturius, G
   Rounsevell, MDA
AF Blanco, Victor
   Brown, Calum
   Holzhauer, Sascha
   Vulturius, Gregor
   Rounsevell, Mark D. A.
TI The importance of socio-ecological system dynamics in understanding
   adaptation to global change in the forestry sector
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Adaptive capacity; Agent-based model; Climate change; Ecosystem
   services; Land owner decision-making; Scenario
ID CLIMATE-CHANGE ADAPTATION; ADAPTIVE CAPACITY; LAND-USE; CHANGE
   VULNERABILITY; IMPACT ASSESSMENT; DECISION-MAKING; MANAGEMENT; OWNERS;
   MITIGATION; SERVICES
AB Adaptation is necessary to cope with or take advantage of the effects of climate change on socio-ecological systems. This is especially important in the forestry sector, which is sensitive to the ecological and economic impacts of climate change, and where the adaptive decisions of owners play out over long periods of time. Relatively little is known about how successful these decisions are likely to be in meeting demands for ecosystem services in an uncertain future.
   We explore adaptation to global change in the forestry sector using CRAFTY-Sweden; an agent-based model that represents large-scale land-use dynamics, based on the demand and supply of ecosystem services. Future impacts and adaptation within the Swedish forestry sector were simulated for scenarios of socio-economic change (Shared Socio-economic Pathways) and climatic change (Representative Concentration Pathways, for three climate models), between 2010 and 2100.
   Substantial differences were found in the competitiveness and coping ability of land owners implementing different management strategies through time. Generally, multi-objective management was found to provide the best basis for adaptation. Across large regions, however, a combination of management strategies was better at meeting ecosystem service demands. Results also show that adaptive capacity evolves through time in response to external (global) drivers and interactions between individual actors. This suggests that process-based models are more appropriate for the study of autonomous adaptation and future adaptive and coping capacities than models based on indicators, discrete time snapshots or exogenous proxies. Nevertheless, a combination of planned and autonomous adaptation by institutions and forest owners is likely to be more successful than either group acting alone. (C) 2017 Elsevier Ltd. All rights reserved.
C1 [Blanco, Victor; Brown, Calum; Holzhauer, Sascha; Vulturius, Gregor; Rounsevell, Mark D. A.] Univ Edinburgh, Inst Geog & Lived Environm, Sch Geosci, Drummond St, Edinburgh EH8 9XP, Midlothian, Scotland.
   [Brown, Calum; Rounsevell, Mark D. A.] Karlsruhe Inst Technol, Inst Meteorol & Climate Res, Atmospher Environm Res IMK IFU, Kreuzeckbahnstr 19, D-82467 Garmisch Partenkirchen, Germany.
   [Holzhauer, Sascha] Univ Kassel, Fac Elect Engn & Comp Sci, Integrated Energy Syst, Wilhelmshoher Allee 73, D-34121 Kassel, Germany.
   [Vulturius, Gregor] Stockholm Environm Inst, Linnegatan 87D, SE-10451 Kassel, Sweden.
C3 University of Edinburgh; Helmholtz Association; Karlsruhe Institute of
   Technology; Universitat Kassel; Stockholm Environment Institute
RP Blanco, V (corresponding author), Univ Edinburgh, Inst Geog & Lived Environm, Sch Geosci, Drummond St, Edinburgh EH8 9XP, Midlothian, Scotland.
EM v.blanco@ed.ac.uk
RI Brown, Calum/ABH-4673-2020; Rounsevell, Mark/AAC-4498-2021; Brown,
   Calum/D-4341-2017
OI Rounsevell, Mark/0000-0001-7476-9398; Blanco,
   Victor/0000-0001-9231-2797; Brown, Calum/0000-0001-9331-1008
FU Mistra-SWECIA programme; Mistra-SWECIA research programme; University of
   Edinburgh; European Union's Seventh Framework Programme [603416]
FX The research of VB was supported by, the Mistra-SWECIA research
   programme and the University of Edinburgh. GV was also supported by the
   Mistra-SWECIA programme. The work of CB, SH and MR was performed under
   the project IMPRESSIONS (Impacts and Risks from High-End Scenarios:
   Strategies for Innovative Solutions) funded by the European Union's
   Seventh Framework Programme (Grant Agreement No. 603416).
CR Acosta L, 2013, GLOBAL ENVIRON CHANG, V23, P1211, DOI 10.1016/j.gloenvcha.2013.03.008
   An L, 2012, ECOL MODEL, V229, P25, DOI 10.1016/j.ecolmodel.2011.07.010
   Andersson M, 2010, FOREST POLICY ECON, V12, P330, DOI 10.1016/j.forpol.2010.02.002
   [Anonymous], 2008, MAPPING CLIMATE CHAN
   [Anonymous], PRODUKTIONSMODELL SK
   [Anonymous], WORLD AGR 2030 2050
   [Anonymous], INTEGRATED ASSESSMEN
   [Anonymous], CLIMATIC CHANGE
   [Anonymous], REG ENV CHANGE
   [Anonymous], STAT SUBJ AR
   [Anonymous], FAO STAT DIV PROD
   [Anonymous], SKOTSEL AV BJORK AL
   [Anonymous], P EUROPEAN FOREST I
   [Anonymous], 2012, MANAGING RISKS EXTRE
   [Anonymous], 2009, ANTHR CLIMATE CHANGE
   [Anonymous], SKOTSEL AV ADELLOVSK
   [Anonymous], AGR LAND US INT DAT
   [Anonymous], 2015, EUROPEAN SHARED SOCI
   [Anonymous], FACTS SWED AGR
   [Anonymous], CLIMATE CHANGE 2014
   [Anonymous], 2011, COORDINATED REGIONAL
   [Anonymous], PLOS ONE
   [Anonymous], 2012, ECOL SOC
   Araya-Munoz D, 2016, J ENVIRON MANAGE, V183, P314, DOI 10.1016/j.jenvman.2016.08.060
   Arneth A, 2014, NAT CLIM CHANGE, V4, P550, DOI [10.1038/nclimate2250, 10.1038/NCLIMATE2250]
   Blanco V, 2017, ECOSYST SERV, V23, P174, DOI 10.1016/j.ecoser.2016.12.003
   Blanco V, 2015, EUR J FOREST RES, V134, P1027, DOI 10.1007/s10342-015-0907-x
   Blennow K, 2012, FOREST POLICY ECON, V24, P41, DOI 10.1016/j.forpol.2011.04.005
   Boon TE, 2010, SCAND J FOREST RES, V25, P564, DOI 10.1080/02827581.2010.512875
   Brown C., 2016, REG ENVIRON CHANGE, P1
   Brown C, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.448
   Brown C, 2016, MODEL EARTH SYST ENV, V2, DOI 10.1007/s40808-016-0102-1
   Brown C, 2015, CLIMATIC CHANGE, V128, P293, DOI 10.1007/s10584-014-1133-0
   Buonocore E, 2012, ENERGY, V37, P69, DOI 10.1016/j.energy.2011.07.032
   Carvalho-Ribeiro SM, 2010, LAND USE POLICY, V27, P1111, DOI 10.1016/j.landusepol.2010.02.008
   Edwards DM, 2012, ECOL SOC, V17, DOI 10.5751/ES-04520-170127
   Engstrom K, 2016, EARTH SYST DYNAM, V7, P893, DOI 10.5194/esd-7-893-2016
   Felton A, 2016, BIOL CONSERV, V194, P11, DOI 10.1016/j.biocon.2015.11.030
   Gamfeldt L, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms2328
   Gauthier S, 2014, ENVIRON REV, V22, P256, DOI 10.1139/er-2013-0064
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Hanewinkel M, 2013, NAT CLIM CHANGE, V3, P203, DOI [10.1038/NCLIMATE1687, 10.1038/nclimate1687]
   Hannah L, 2011, CLIMATIC CHANGE, V109, P429, DOI 10.1007/s10584-011-0307-2
   Harrison PA, 2015, CLIMATIC CHANGE, V128, P279, DOI 10.1007/s10584-014-1239-4
   Harrison PA, 2016, NAT CLIM CHANGE, V6, P885, DOI [10.1038/NCLIMATE3039, 10.1038/nclimate3039]
   Holm SO, 2015, J SUSTAIN FOREST, V34, P358, DOI 10.1080/10549811.2015.1009633
   Ingemarson F, 2006, SCAND J FOREST RES, V21, P249, DOI 10.1080/02827580600662256
   Jacob D, 2014, REG ENVIRON CHANGE, V14, P563, DOI 10.1007/s10113-013-0499-2
   Johnston M, 2012, FOREST POLICY ECON, V24, P29, DOI 10.1016/j.forpol.2012.06.001
   Jönsson AM, 2015, MITIG ADAPT STRAT GL, V20, P201, DOI 10.1007/s11027-013-9487-6
   Keskitalo ECH, 2011, FORESTS, V2, P415, DOI 10.3390/f2010415
   Kilgore MA, 2008, FOREST POLICY ECON, V10, P507, DOI 10.1016/j.forpol.2008.05.003
   Kline JD, 2000, ECOL ECON, V33, P29, DOI 10.1016/S0921-8009(99)00116-0
   Koskela E, 2007, FOREST SCI, V53, P443
   Le Goff H, 2005, FOREST CHRON, V81, P582, DOI 10.5558/tfc81582-4
   Lindner M, 2010, FOREST ECOL MANAG, V259, P698, DOI 10.1016/j.foreco.2009.09.023
   Lung T, 2013, GLOBAL ENVIRON CHANG, V23, P522, DOI 10.1016/j.gloenvcha.2012.11.009
   Matthews RB, 2007, LANDSCAPE ECOL, V22, P1447, DOI 10.1007/s10980-007-9135-1
   Metzger MJ, 2006, AGR ECOSYST ENVIRON, V114, P69, DOI 10.1016/j.agee.2005.11.025
   Morgan FJ, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0127317
   Murray-Rust D, 2014, ENVIRON MODELL SOFTW, V59, P187, DOI 10.1016/j.envsoft.2014.05.019
   Niles MT, 2016, CLIMATIC CHANGE, V135, P277, DOI 10.1007/s10584-015-1558-0
   O'Neill BC, 2014, CLIMATIC CHANGE, V122, P387, DOI 10.1007/s10584-013-0905-2
   Pardos M, 2015, ANN FOREST SCI, V72, P1009, DOI 10.1007/s13595-015-0520-7
   Pukkala T, 2012, FORESTRY, V85, P463, DOI 10.1093/forestry/cps043
   Rammer W, 2015, GLOBAL ENVIRON CHANG, V35, P475, DOI 10.1016/j.gloenvcha.2015.10.003
   Rico M, 2015, FOREST POLICY ECON, V59, P27, DOI 10.1016/j.forpol.2015.05.007
   Rose SK, 2014, ENERG ECON, V46, P548, DOI 10.1016/j.eneco.2014.09.018
   Seidl R, 2013, J ENVIRON MANAGE, V114, P461, DOI 10.1016/j.jenvman.2012.09.028
   Sharma U, 2008, MITIG ADAPT STRAT GL, V13, P819, DOI 10.1007/s11027-008-9143-8
   Smith B, 2001, GLOBAL ECOL BIOGEOGR, V10, P621, DOI 10.1046/j.1466-822X.2001.00256.x
   Temperli C, 2012, ECOL APPL, V22, P2065, DOI 10.1890/12-0210.1
   Thompson DW, 2013, SMALL-SCALE FOR, V12, P631, DOI 10.1007/s11842-013-9235-5
   Tilman D, 2001, SCIENCE, V292, P281, DOI 10.1126/science.1057544
   Valladares F., 2008, V17, P15, DOI 10.1007/978-1-4020-8343-3_2
   Van Asselen S, 2013, GLOBAL CHANGE BIOL, V19, P3648, DOI 10.1111/gcb.12331
   Vincent K, 2007, GLOBAL ENVIRON CHANG, V17, P12, DOI 10.1016/j.gloenvcha.2006.11.009
   Zanchi G, 2012, GCB BIOENERGY, V4, P761, DOI 10.1111/j.1757-1707.2011.01149.x
   Zehr S, 2015, WIRES CLIM CHANGE, V6, P129, DOI 10.1002/wcc.328
   Zhang PC, 2000, SCIENCE, V288, P2135, DOI 10.1126/science.288.5474.2135
NR 80
TC 35
Z9 36
U1 1
U2 69
PU ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
PI LONDON
PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
SN 0301-4797
EI 1095-8630
J9 J ENVIRON MANAGE
JI J. Environ. Manage.
PD JUL 1
PY 2017
VL 196
BP 36
EP 47
DI 10.1016/j.jenvman.2017.02.066
PG 12
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA EV6OI
UT WOS:000401888300005
PM 28284136
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Phung, D
   Chu, C
   Rutherford, S
   Nguyen, HLT
   Luong, MA
   Do, CM
   Huang, CR
AF Dung Phung
   Chu, Cordia
   Rutherford, Shannon
   Huong Lien Thi Nguyen
   Mai Anh Luong
   Cuong Manh Do
   Huang, Cunrui
TI Heavy rainfall and risk of infectious intestinal diseases in the most
   populous city in Vietnam
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Heavy rainfall; Intestinal infectious diseases; Hospital admission;
   Vietnam
ID CHI-MINH-CITY; EXTREME PRECIPITATION; DIARRHEAL DISEASE; CLIMATE-CHANGE;
   ASSOCIATION; TEMPERATURE; OUTBREAKS; SYSTEMS; EVENTS; VISITS
AB The association between heavy rainfall and infectious intestinal diseases (IID) has not been well described and little research has been conducted in developing countries. This study examines the association between heavy rainfall and hospital admissions for IID in Ho Chi Minh City, the most populous city in Vietnam.
   An interrupted time-series method was used to examine the effect of each individual heavy rainfall event (HRE) on IID. The percentage changes in post-HRE level and trends of IID were estimated for 30 days following each HRE. Then a random-effect meta-analysis was used to quantify the pooled estimate of effect sizes of all HREs on IID. The pooled estimates were calculated over a 21 day lag period.
   The effects of a HRE on IID varied across individual HREs. The pooled estimates indicate that the levels of IID following a HRE increased from 73% to 13.5% for lags from 0 to 21 days, however statistically Significant increases were only observed for lags from 4 to 6 days (13.5%, 95%CI: 1.4-25.4; 133%, 95%Cl; 1.5-25.0; and 12.9%, 95%Cl: 1.6-24.1 respectively). An average decrease of 0.11% (95%CI: 0.55-033) per day was observed for the post-HRE trend.
   This finding has important implications for the projected impacts on residents living in this city which is highly vulnerable to increased heavy rainfall associated with climate change. Adaptation and intervention programs should be developed to prevent this additional burden of disease and to protect residents from the adverse impacts of extreme weather events. (C) 2016 Elsevier B.V. All rights reserved.
C1 [Dung Phung; Chu, Cordia; Rutherford, Shannon; Huang, Cunrui] Griffith Univ, Ctr Environm & Populat Hlth, Nathan Campus,179 Kessels Rd, Brisbane, Qld 4111, Australia.
   [Huong Lien Thi Nguyen; Mai Anh Luong; Cuong Manh Do] Vietnam Minist Hlth, Hlth Environm Management Agcy, Hanoi, Vietnam.
   [Dung Phung; Huang, Cunrui] Sun Yat Sen Univ, Sch Publ Hlth, 74,Zhongshan Rd 2, Guangzhou 510080, Guangdong, Peoples R China.
C3 Griffith University; Sun Yat Sen University
RP Phung, D (corresponding author), Griffith Univ, Ctr Environm & Populat Hlth, Nathan Campus,179 Kessels Rd, Brisbane, Qld 4111, Australia.; Huang, CR (corresponding author), Sun Yat Sen Univ, Sch Publ Hlth, 74,Zhongshan Rd 2, Guangzhou 510080, Guangdong, Peoples R China.
EM d.phung@griffith.edu.au; huangcr@mail.sysu.edu.cn
RI Chu, Christopher/HHN-4195-2022; Phung, Dung/ABC-9218-2021; Huang,
   Cunrui/ABI-3312-2020
OI Chu, Cordia/0000-0002-3683-5638; Rutherford, Shannon/0000-0002-5851-2987
FU Griffith University; APN is Asia-Pacific Network for Global Change
   Research [CRRP2016-10MY-Huang]
FX DP was supported by a Griffith University Post-doctoral Fellowship
   2015-2016. DP and CH were supported by the APN is Asia-Pacific Network
   for Global Change Research (CRRP2016-10MY-Huang).
CR ADKINS HJ, 1987, J CLIN MICROBIOL, V25, P1143, DOI 10.1128/JCM.25.7.1143-1147.1987
   [Anonymous], EMERG INFECT DIS
   [Anonymous], ENVIRON HEALTH PERSP
   [Anonymous], ENV SCI TECHNOL
   [Anonymous], VIET NAM HLTH STAT Y
   [Anonymous], ENV HLTH PERSPECT
   [Anonymous], 11 INT C URB DRAIN E
   [Anonymous], VIETN HA NOI HO CHI
   [Anonymous], INT J BIOMETEOROL
   [Anonymous], ADAPTING EXTREME RAI
   [Anonymous], ENV TOXICOL
   [Anonymous], CLIMATE CHANGE ADAPT
   [Anonymous], 2009, EEPSEA Special and Technical Paper tp200901-1
   [Anonymous], EPIDEMIOL INFECT
   Basu R, 2008, AM J EPIDEMIOL, V168, P632, DOI 10.1093/aje/kwn170
   Carlton EJ, 2014, AM J EPIDEMIOL, V179, P344, DOI 10.1093/aje/kwt279
   Chou WC, 2010, SCI TOTAL ENVIRON, V409, P43, DOI 10.1016/j.scitotenv.2010.09.001
   Curriero FC, 2001, AM J PUBLIC HEALTH, V91, P1194, DOI 10.2105/AJPH.91.8.1194
   Dewan AM, 2013, PLOS NEGLECT TROP D, V7, DOI 10.1371/journal.pntd.0001998
   Drayna P, 2010, ENVIRON HEALTH PERSP, V118, P1439, DOI 10.1289/ehp.0901671
   Few R, 2013, SOC SCI MED, V80, P1, DOI 10.1016/j.socscimed.2012.12.027
   Gelting R, 2005, INT J HYG ENVIR HEAL, V208, P67, DOI 10.1016/j.ijheh.2005.01.009
   Hashizume M, 2008, EPIDEMIOL INFECT, V136, P1281, DOI 10.1017/S0950268807009776
   Higgins JPT, 2003, BMJ-BRIT MED J, V327, P557, DOI 10.1136/bmj.327.7414.557
   Ihekweazu C, 2006, Euro Surveill, V11, P5, DOI 10.2807/esm.11.04.00613-en
   Intergovernmental Panel on Climate Change, 2013, CARBON OTHER BIOGEOC, DOI [10.1017/CBO9781107415324.015, DOI 10.1017/CBO9781107415324.015]
   Jagai JS, 2015, ENVIRON HEALTH PERSP, V123, P873, DOI 10.1289/ehp.1408971
   Jean JS, 2006, J APPL MICROBIOL, V101, P1224, DOI 10.1111/j.1365-2672.2006.03025.x
   Jofre J, 2010, HANDB ENVIRON CHEM, V8, P147, DOI 10.1007/698_2009_22
   Kelly-Hope LA, 2008, ENVIRON HEALTH PERSP, V116, P7, DOI 10.1289/ehp.9658
   Liu C, 2013, INT J FOOD MICROBIOL, V163, P119, DOI 10.1016/j.ijfoodmicro.2013.02.026
   Milojevic A, 2012, EPIDEMIOLOGY, V23, P107, DOI 10.1097/EDE.0b013e31823ac606
   Nguyen TVH, 2008, WATER SCI TECHNOL, V58, P2403, DOI 10.2166/wst.2008.435
   Nichols G, 2009, J WATER HEALTH, V7, P1, DOI 10.2166/wh.2009.143
   Vo PL, 2007, GEOJOURNAL, V70, P75, DOI 10.1007/s10708-008-9115-2
   Phung D, 2016, ENVIRON INT, V92-93, P77, DOI 10.1016/j.envint.2016.03.034
   Rose JB, 2000, J AM WATER WORKS ASS, V92, P77
   Seidu R, 2013, J WATER CLIM CHANGE, V4, P90, DOI 10.2166/wcc.2013.032
   Sterk A, 2013, ENVIRON SCI TECHNOL, V47, P12648, DOI 10.1021/es403549s
   Thomas MK, 2006, INT J ENVIRON HEAL R, V16, P167, DOI 10.1080/09603120600641326
   Thompson CN, 2015, HEALTH PLACE, V35, P147, DOI 10.1016/j.healthplace.2015.08.001
   Thompson CN, 2015, AM J TROP MED HYG, V92, P1045, DOI 10.4269/ajtmh.14-0655
   Wade TJ, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0110474
   Wust S, 2002, ENVIRON URBAN, V14, P211, DOI 10.1177/095624780201400217
NR 44
TC 17
Z9 21
U1 6
U2 30
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD FEB 15
PY 2017
VL 580
BP 805
EP 812
DI 10.1016/j.scitotenv.2016.12.027
PG 8
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA EM5LS
UT WOS:000395353600079
PM 28012659
OA Green Published
DA 2025-01-10
ER

PT J
AU Wonkka, CL
   Twidwell, D
   Franz, TE
   Taylor, CA
   Rogers, WE
AF Wonkka, Carissa L.
   Twidwell, Dirac
   Franz, Trenton E.
   Taylor, Charles A., Jr.
   Rogers, William E.
TI Persistence of a Severe Drought Increases Desertification but not Woody
   Dieback in Semiarid Savanna
SO RANGELAND ECOLOGY & MANAGEMENT
LA English
DT Article
DE climate change adaptation; drought effects; ecological indicators;
   episodic dieback; grass-tree codominance; vegetation lags
ID INDUCED TREE MORTALITY; CLIMATE-CHANGE; RESOURCE PULSES; PLANT
   MORTALITY; VEGETATION; DYNAMICS; FIRE; MECHANISMS; GRASSLANDS; RESPONSES
AB Increases in precipitation variability, coupled with higher temperatures, will lead to greater frequencies of severe, prolonged droughts for many regions with the expectation of attendant increases in woody plant die-off events. We took advantage of a 2-yr extension of a severe drought following an initial study of woody plant dieback in a woody-encroached semiarid savanna in west-central Texas, United States. This study tests for the emergence of alternative vegetation trajectories as a result of continued drought persistence: 1) whether additional woody plant dieback occurred following the initial study, leading to a grass-dominated community, or 2) whether desertification became a major feature (defined as a loss of herbaceous cover and increase in bare ground). Neither the emergence of a grass-dominated community nor the prevalence of desertification was observed during the initial study. After 2 additional yr of drought, we found that dieback of woody plants did not increase above previously observed levels, suggesting that the prolongation of drought did not cause the emergence of a grass-dominated community in this heavily encroached rangeland. However, drought severity did lead to increases in desertification, with increases in bare ground owed to declines in grass cover. While previous research at this long-term research site suggests that desertification is transient with grasses rebounding once precipitation returns to predrought levels, rangeland managers should be aware of lags in vegetation response to drought and the increased potential for a shift toward a bare-ground dominated community following extended extreme drought. In this Texas semiarid savanna, major losses in herbaceous cover lagged behind woody plant dieback, so dieback of the woody component might hold promise as an indicator for near-termpotential of desertification. (C) 2016 The Society for Range Management. Published by Elsevier Inc. All rights reserved.
C1 [Wonkka, Carissa L.; Rogers, William E.] Texas A&M Univ, Dept Ecosyst Sci & Management, College Stn, TX 77843 USA.
   [Wonkka, Carissa L.; Twidwell, Dirac] Univ Nebraska, Dept Agron & Hort, Lincoln, NE 68583 USA.
   [Franz, Trenton E.] Univ Nebraska, Sch Nat Resources, Lincoln, NE 68583 USA.
   [Taylor, Charles A., Jr.] Texas A&M Univ, Texas A&M Agrilife Res Ctr, Sonora, TX 76950 USA.
C3 Texas A&M University System; Texas A&M University College Station;
   University of Nebraska System; University of Nebraska Lincoln;
   University of Nebraska System; University of Nebraska Lincoln; Texas A&M
   University System
RP Wonkka, CL (corresponding author), Texas A&M Univ, Dept Ecosyst Sci & Management, College Stn, TX 77843 USA.
EM cwonkka2@unl.edu
RI Twidwell, Dirac/D-3334-2012; Franz, Trenton/AAE-1429-2019; Wonkka,
   Carissa/AAZ-4199-2020
OI Twidwell, Dirac/0000-0002-0280-3339; Franz, Trenton/0000-0003-2947-0906
FU US Department of Agriculture National Institute of Food and Agriculture:
   A Graduate Program in Forest Resources: Developing Integrated Expertise
   in Forest Resource, Management, Conservation, and Restoration
   [2009-38420-05631]; Tom Slick Foundation
FX Research was funded by the US Department of Agriculture National
   Institute of Food and Agriculture: A Graduate Program in Forest
   Resources: Developing Integrated Expertise in Forest Resource,
   Management, Conservation, and Restoration 2009-38420-05631 and the Tom
   Slick Foundation.
CR Adams HD, 2012, ECOHYDROLOGY, V5, P145, DOI 10.1002/eco.233
   Adams HD, 2009, P NATL ACAD SCI USA, V106, P7063, DOI 10.1073/pnas.0901438106
   ALBERTSON FW, 1957, ECOL MONOGR, V27, P27, DOI 10.2307/1948569
   Allen CD, 2007, ECOSYSTEMS, V10, P797, DOI 10.1007/s10021-007-9057-4
   Allen CD, 2015, ECOSPHERE, V6, DOI 10.1890/ES15-00203.1
   Allen CD, 2010, FOREST ECOL MANAG, V259, P660, DOI 10.1016/j.foreco.2009.09.001
   Anderegg LDL, 2013, TREE PHYSIOL, V33, P701, DOI 10.1093/treephys/tpt044
   Anderegg WRL, 2013, NAT CLIM CHANGE, V3, P30, DOI 10.1038/nclimate1635
   Anderegg WRL, 2012, CONSERV BIOL, V26, P1082, DOI 10.1111/j.1523-1739.2012.01913.x
   [Anonymous], 2011, WILEY INTERDISCIPLIN
   BELLA DA, 1994, ENVIRON MANAGE, V18, P489, DOI 10.1007/BF02400854
   Ben Wu X, 2005, LANDSCAPE ECOL, V20, P733, DOI 10.1007/s10980-005-0996-x
   Bestelmeyer BT, 2013, ECOL LETT, V16, P339, DOI 10.1111/ele.12045
   Bestelmeyer BT, 2011, ECOSPHERE, V2, DOI 10.1890/ES11-00216.1
   Bigler C, 2005, ECOLOGY, V86, P3018, DOI 10.1890/05-0011
   Bigler C, 2007, OIKOS, V116, P1983, DOI 10.1111/j.2007.0030-1299.16034.x
   Bond BJ, 1999, TREE PHYSIOL, V19, P503
   Bond WJ, 2008, ANNU REV ECOL EVOL S, V39, P641, DOI 10.1146/annurev.ecolsys.39.110707.173411
   Bréda N, 2006, ANN FOREST SCI, V63, P625, DOI 10.1051/forest:2006042
   Breshears DD, 2009, FRONT ECOL ENVIRON, V7, P185, DOI 10.1890/080016
   Carnicer J, 2011, P NATL ACAD SCI USA, V108, P1474, DOI 10.1073/pnas.1010070108
   Castellano MJ, 2007, J ARID ENVIRON, V71, P97, DOI 10.1016/j.jaridenv.2007.03.009
   Chesson P, 2004, OECOLOGIA, V141, P236, DOI 10.1007/s00442-004-1551-1
   D'Odorico P, 2012, ECOHYDROLOGY, V5, P520, DOI 10.1002/eco.259
   Dai AG, 2013, NAT CLIM CHANGE, V3, P52, DOI [10.1038/NCLIMATE1633, 10.1038/nclimate1633]
   Dodd MB, 1997, PLANT ECOL, V133, P13, DOI 10.1023/A:1009759421640
   Edburg SL, 2012, FRONT ECOL ENVIRON, V10, P416, DOI 10.1890/110173
   Fensham RJ, 1999, J APPL ECOL, V36, P1035, DOI 10.1046/j.1365-2664.1999.00460.x
   Fensham RJ, 2005, J ECOL, V93, P596, DOI 10.1111/j.1365-2745.2005.00998.x
   FLOYD DA, 1987, J ECOL, V75, P221, DOI 10.2307/2260547
   Floyd ML, 2009, ECOL APPL, V19, P1223, DOI 10.1890/08-1265.1
   Fuhlendorf S., 2008, ECOL STU AN, V196, P219
   Fuhlendorf SD, 1997, J VEG SCI, V8, P819, DOI 10.2307/3237026
   Fuhlendorf SD, 2001, APPL VEG SCI, V4, P177, DOI 10.1111/j.1654-109X.2001.tb00486.x
   Goward SN, 1995, J BIOGEOGR, V22, P549, DOI 10.2307/2845953
   Greenwood DL, 2008, FOREST ECOL MANAG, V255, P2129, DOI 10.1016/j.foreco.2007.12.048
   Holzapfel C, 1999, ECOLOGY, V80, P1747, DOI 10.2307/176564
   Huenneke LF, 2002, GLOBAL CHANGE BIOL, V8, P247, DOI 10.1046/j.1365-2486.2002.00473.x
   Kane JM, 2011, PLANT ECOL, V212, P733, DOI 10.1007/s11258-010-9859-x
   KASSAS M, 1995, J ARID ENVIRON, V30, P115, DOI 10.1016/S0140-1963(05)80063-1
   Knapp AK, 2008, GLOBAL CHANGE BIOL, V14, P615, DOI 10.1111/j.1365-2486.2007.01512.x
   Koepke DF, 2010, OECOLOGIA, V163, P1079, DOI 10.1007/s00442-010-1671-8
   Lenton TM, 2008, P NATL ACAD SCI USA, V105, P1786, DOI 10.1073/pnas.0705414105
   Ludwig JA, 1995, ENVIRON MONIT ASSESS, V37, P231, DOI 10.1007/BF00546891
   Maestre FT, 2009, ECOLOGY, V90, P1729, DOI 10.1890/08-2096.1
   McAuliffe JR, 2006, GLOBAL PLANET CHANGE, V50, P184, DOI 10.1016/j.gloplacha.2005.12.003
   McDowell N, 2008, NEW PHYTOL, V178, P719, DOI 10.1111/j.1469-8137.2008.02436.x
   McDowell NG, 2010, NEW PHYTOL, V186, P264, DOI 10.1111/j.1469-8137.2010.03232.x
   McDowell NG, 2011, PLANT PHYSIOL, V155, P1051, DOI 10.1104/pp.110.170704
   McKenzie DH, 2012, ECOLOGICAL INDICATOR, P1565
   Merrill L.B., 1988, EDWARDS PLATEAU VEGE, P101
   Merrill LB., 1959, Texas Agriculture Progress, V3, P9
   MERRILL LEO B., 1954, JOUR RANGE MANAGEMENT, V7, P152, DOI 10.2307/3894444
   Miriti MN, 2007, ECOLOGY, V88, P32, DOI 10.1890/0012-9658(2007)88[32:EDASOD]2.0.CO;2
   Okin GS, 2009, BIOSCIENCE, V59, P237, DOI 10.1525/bio.2009.59.3.8
   Okin GS, 2001, J ARID ENVIRON, V47, P123, DOI 10.1006/jare.2000.0711
   Pan YD, 2011, SCIENCE, V333, P988, DOI 10.1126/science.1201609
   Peters D.P. C., 2013, Climate vulnerability: understanding and addressing threats to essential resources, P239
   Peters DPC, 2015, FRONT ECOL ENVIRON, V13, P4, DOI 10.1890/140276
   Peters DPC, 2006, J ARID ENVIRON, V65, P196, DOI 10.1016/j.jaridenv.2005.05.010
   Pockman WT, 2000, AM J BOT, V87, P1287, DOI 10.2307/2656722
   Scheffer M, 2003, TRENDS ECOL EVOL, V18, P648, DOI 10.1016/j.tree.2003.09.002
   Scholes RJ, 1997, ANNU REV ECOL SYST, V28, P517, DOI 10.1146/annurev.ecolsys.28.1.517
   Schwinning S, 2004, OECOLOGIA, V141, P191, DOI 10.1007/s00442-004-1683-3
   Sevanto S, 2014, PLANT CELL ENVIRON, V37, P153, DOI 10.1111/pce.12141
   Shaw K, 2015, OPFLOW, V41, P10
   Suarez ML, 2004, J ECOL, V92, P954, DOI 10.1111/j.1365-2745.2004.00941.x
   Taylor CA, 2012, RANGELAND ECOL MANAG, V65, P21, DOI 10.2111/REM-D-10-00124.1
   Twidwell D, 2014, APPL VEG SCI, V17, P42, DOI 10.1111/avsc.12044
   Twidwell D, 2013, FRONT ECOL ENVIRON, V11, pE64, DOI 10.1890/130015
   Urli M, 2013, TREE PHYSIOL, V33, P672, DOI 10.1093/treephys/tpt030
   van de Koppel J, 2004, AM NAT, V163, P113, DOI 10.1086/380571
   Volaire F, 2009, CROP SCI, V49, P2386, DOI 10.2135/cropsci2009.06.0317
   Walker B. H., 1982, Ecology of tropical savannas, P556
   WALKER BH, 1981, J ECOL, V69, P473, DOI 10.2307/2259679
   Wu DH, 2015, GLOBAL CHANGE BIOL, V21, P3520, DOI 10.1111/gcb.12945
   Zweifel R, 2009, J VEG SCI, V20, P442, DOI 10.1111/j.1654-1103.2009.05701.x
NR 77
TC 19
Z9 19
U1 1
U2 56
PU SOC RANGE MANAGEMENT
PI LAKEWOOD
PA 445 UNION BLVD, STE 230, LAKEWOOD, CO 80228-1259 USA
SN 1550-7424
EI 1551-5028
J9 RANGELAND ECOL MANAG
JI Rangel. Ecol. Manag.
PD NOV
PY 2016
VL 69
IS 6
BP 491
EP 498
DI 10.1016/j.rama.2016.07.005
PG 8
WC Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA ED5DS
UT WOS:000388872400011
DA 2025-01-10
ER

PT J
AU Bourgault, M
   Brand, J
   Tausz, M
   Fitzgerald, GJ
AF Bourgault, Maryse
   Brand, Jason
   Tausz, Michael
   Fitzgerald, Glenn J.
TI Yield, growth and grain nitrogen response to elevated CO<sub>2</sub> of
   five field pea (<i>Pisum sativum</i> L.) cultivars in a low rainfall
   environment
SO FIELD CROPS RESEARCH
LA English
DT Article
DE Climate change adaptation; Genotypic variability; Grain protein;
   Elevated CO2
ID CARBON-DIOXIDE ENRICHMENT; ATMOSPHERIC CO2; WHEAT CULTIVAR;
   PHOTOSYNTHESIS; ASSIMILATION; TRANSPIRATION; FIXATION; NUTRIENT; CROPS;
   SIZE
AB Atmospheric CO2 concentrations have been increasing from about 280 ppm to 400 ppm from the pre-industrial era until now. If intraspecific variability in the response to elevated CO2 (e[CO2]) can be found, then it should be possible to select for greater responsiveness in crop breeding programs. Our experiment aimed to determine the effects of e[CO2] on the yield, biomass, leaf and grain nitrogen content of a range of field pea (Pisum sativum L.) cultivars subjected to rainfed and supplemental irrigation conditions. Plants were grown under Free Air CO2 Enrichment (FACE) at the Australian Grains FACE facility in Horsham, Victoria, Australia under e[CO2] (550 ppm) or at ambient CO2 (390-400 ppm) under rainfed conditions and supplemental irrigation during three seasons, 2010-2012. Yields were significantly increased by 26% under e[CO2] due to an increase in the number of pods per area. Grain size, the number of grains per pod and the harvest index remained unaffected by e[CO2]. Grain nitrogen concentration ([N]) was slightly, but significantly, decreased by e[CO2], but this was not consistent across cultivars under all water regimes. The dual purpose cultivar PBA Hayman consistently maintained grain [N] in response to e[CO2] while the response in grain [N] in the cultivars Sturt and PBA Twilight depended on the irrigation treatment. While there was no evidence for consistent differences in seed yield response to e[CO2] for the chosen cultivars, understanding the mechanisms for why some cultivars are able to maintain [N] under e[CO2] would allow breeding programs to develop varieties resistant to decreases in [N] under e[CO2]. (C) 2016 Elsevier B.V. All rights reserved.
C1 [Bourgault, Maryse] Univ Melbourne, Fac Vet & Agr Sci, 4 Water St, Creswick, Vic 3363, Australia.
   [Brand, Jason; Fitzgerald, Glenn J.] Agr Victoria, Grains Innovat Pk,110 Natimuk Rd, Horsham, Vic 3401, Australia.
   [Tausz, Michael] Univ Melbourne, Sch Ecosyst & Forest Sci, 4 Water St, Creswick, Vic 3363, Australia.
C3 University of Melbourne; Agriculture Victoria; University of Melbourne
RP Fitzgerald, GJ (corresponding author), Agr Victoria, Grains Innovat Pk,110 Natimuk Rd, Horsham, Vic 3401, Australia.
EM glenn.fitzgerald@ecodev.vic.gov.au
RI Bourgault, Maryse/D-4416-2009; Tausz, Michael/C-1990-2013
OI Bourgault, Maryse/0000-0001-7756-7353; Tausz,
   Michael/0000-0001-8205-8561
FU Grains Research and Development Corporation (GRDC); Australian
   Commonwealth Department of Agriculture
FX Research at the Australian Grains Free Air Carbon dioxide Enrichment
   (AGFACE) facility is jointly run by the Victorian Government and the
   University of Melbourne and receives substantial additional funding from
   the Grains Research and Development Corporation (GRDC) and the
   Australian Commonwealth Department of Agriculture. We wish to
   acknowledge the crucial contributions of Mahabubur Mollah (AGFACE
   research engineer), Russel Argall, Peter Howie (senior technical staff),
   Justine Ellis, Jennifer Briggs, and their field team in running and
   maintaining the AGFACE facility.
CR Ainsworth EA, 2005, NEW PHYTOL, V165, P351, DOI 10.1111/j.1469-8137.2004.01224.x
   Ainsworth EA, 2004, AGR FOREST METEOROL, V122, P85, DOI 10.1016/j.agrformet.2003.09.002
   Ainsworth EA, 2008, PLANT CELL ENVIRON, V31, P1317, DOI 10.1111/j.1365-3040.2008.01841.x
   [Anonymous], 1997, DIAGNOSIS NITROGEN S
   [Anonymous], 2012, CROP PASTURE SCI, DOI DOI 10.1071/CP11296
   [Anonymous], CLIM DAT ONL DAT HOR
   [Anonymous], 2008, CLIMATE CHANGE 2007
   Atta S, 2004, AGRONOMIE, V24, P85, DOI 10.1051/agro:2004003
   Bates D., 1992, Statistical Models, P421
   Bishop KA, 2015, PLANT CELL ENVIRON, V38, P1765, DOI 10.1111/pce.12443
   Bloom AJ, 2014, NAT CLIM CHANGE, V4, P477, DOI [10.1038/nclimate2183, 10.1038/NCLIMATE2183]
   Butler D., 2007, ASReml-R reference manual
   Butterly CR, 2015, PLANT SOIL, V391, P367, DOI 10.1007/s11104-015-2441-5
   COLEMAN JS, 1993, OECOLOGIA, V93, P195, DOI 10.1007/BF00317671
   Coyne CJ, 2011, CROP ADAPTATION TO CLIMATE CHANGE, P238
   Fernando N, 2012, FOOD CHEM, V133, P1307, DOI 10.1016/j.foodchem.2012.01.105
   GIFFORD RM, 1979, AUST J PLANT PHYSIOL, V6, P367, DOI 10.1071/PP9790367
   Gilmour AR, 1995, BIOMETRICS, V51, P1440, DOI 10.2307/2533274
   Hao XY, 2012, PHOTOSYNTHETICA, V50, P362, DOI 10.1007/s11099-012-0043-5
   Jablonski LM, 2002, NEW PHYTOL, V156, P9, DOI 10.1046/j.1469-8137.2002.00494.x
   KNOTT CM, 1987, ANN APPL BIOL, V111, P233, DOI 10.1111/j.1744-7348.1987.tb01450.x
   Lam SK, 2012, BIOL FERT SOILS, V48, P603, DOI 10.1007/s00374-011-0648-z
   Leakey ADB, 2009, J EXP BOT, V60, P2859, DOI 10.1093/jxb/erp096
   McGrath JM, 2013, PLANT CELL ENVIRON, V36, P697, DOI 10.1111/pce.12007
   Mollah M, 2009, CROP PASTURE SCI, V60, P697, DOI 10.1071/CP08354
   Moore BD, 1999, PLANT CELL ENVIRON, V22, P567, DOI 10.1046/j.1365-3040.1999.00432.x
   Morgan PB, 2005, GLOBAL CHANGE BIOL, V11, P1856, DOI 10.1111/j.1365-2486.2005.001017.x
   Moya TB, 1998, GLOB CHANGE BIOL, V4, P645, DOI 10.1046/j.1365-2486.1998.00180.x
   Myers SS, 2014, NATURE, V510, P139, DOI 10.1038/nature13179
   POTVIN C, 1990, ECOLOGY, V71, P1389, DOI 10.2307/1938276
   Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   Reekie EG, 1998, CAN J BOT, V76, P829, DOI 10.1139/cjb-76-5-829
   Rogers A, 2006, PLANT CELL ENVIRON, V29, P1651, DOI 10.1111/j.1365-3040.2006.01549.x
   Rogers A, 2009, PLANT PHYSIOL, V151, P1009, DOI 10.1104/pp.109.144113
   Sicher R, 2010, CAN J PLANT SCI, V90, P257, DOI 10.4141/CJPS09091
   Tausz M, 2013, ENVIRON EXP BOT, V88, P71, DOI 10.1016/j.envexpbot.2011.12.005
   Tausz-Posch S, 2015, EUR J AGRON, V64, P21, DOI 10.1016/j.eja.2014.12.009
   Tausz-Posch S, 2013, PHYSIOL PLANTARUM, V148, P232, DOI 10.1111/j.1399-3054.2012.01701.x
   Tausz-Posch S, 2012, FIELD CROP RES, V133, P160, DOI 10.1016/j.fcr.2012.04.007
   Ziska LH, 2008, FIELD CROP RES, V108, P54, DOI 10.1016/j.fcr.2008.03.006
   Ziska LH, 2012, P ROY SOC B-BIOL SCI, V279, P4097, DOI 10.1098/rspb.2012.1005
   Ziska LH, 2001, CROP SCI, V41, P385, DOI 10.2135/cropsci2001.412385x
NR 42
TC 22
Z9 22
U1 1
U2 65
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0378-4290
EI 1872-6852
J9 FIELD CROP RES
JI Field Crop. Res.
PD SEP
PY 2016
VL 196
BP 1
EP 9
DI 10.1016/j.fcr.2016.04.011
PG 9
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA DY0HD
UT WOS:000384777000001
OA Bronze
DA 2025-01-10
ER

PT J
AU Douglas, DJT
   Pearce-Higgins, JW
AF Douglas, David J. T.
   Pearce-Higgins, James W.
TI Relative importance of prey abundance and habitat structure as drivers
   of shorebird breeding success and abundance
SO ANIMAL CONSERVATION
LA English
DT Article
DE adaptive management; breeding success; climate change; crane fly; golden
   plover; habitat; prey abundance; vegetation
ID CLIMATE-CHANGE ADAPTATION; RECREATIONAL DISTURBANCE; MANAGEMENT; DIET;
   CONSERVATION; POPULATION; NORTHERN; IMPACTS; GROWTH; WADER
AB Understanding large-scale drivers of animal breeding densities and demography has a range of important uses, including informing conservation management. Given the threat of climate change, the importance of developing a process-based understanding of variation in animal populations is increased to inform adaptive management. For a climate-change sensitive species, the European Golden Plover Pluvialis apricaria, we use novel field-collected data on large-scale spatial variation in prey abundance and vegetation structure to understand drivers of breeding abundance and breeding success, and inform potential management responses. The abundance of the key prey, crane flies (Tipulidae), increased with altitude (a surrogate for temperature) and peat depth (a surrogate for soil moisture). Golden plover breeding densities were highest where vegetation was shortest, probably reflecting greater prey accessibility. In contrast, breeding success was not strongly related to vegetation height, but positively correlated with both crane fly abundance and daily minimum temperatures. When combined to model the number of likely successful pairs in any 1 year, the magnitude of vegetation height effect far exceeded that of crane fly abundance. Thus, for golden plover and other shorebirds sharing similar habitats, management to optimize breeding habitat (grazing or burning to promote short vegetation) may differ from management to promote breeding success (drain blocking to increase soil moisture and prey abundance). Adaptive management in the face of climate change should therefore include appropriate vegetation management, as well as maximizing prey abundance. More broadly, as the drivers of breeding density and demographic parameters may differ, we advocate that conservation practitioners collect not just information on species' distributions but also underpinning demographic processes when using science to inform management.
C1 [Douglas, David J. T.; Pearce-Higgins, James W.] RSPB Scotland, RSPB Ctr Conservat Sci, Edinburgh EH12 9DH, Midlothian, Scotland.
   [Pearce-Higgins, James W.] BTO, Thetford, Norfolk, England.
C3 Royal Society for Protection of Birds; British Trust for Ornithology
RP Douglas, DJT (corresponding author), RSPB Scotland, RSPB Ctr Conservat Sci, 2 Lochside View,Edinburgh Pk, Edinburgh EH12 9DH, Midlothian, Scotland.
EM david.douglas@rspb.org.uk
FU Scottish and Southern Energy
FX Data collection was funded by Scottish and Southern Energy. We thank
   Jeremy Wilson, Jose Alves and a reviewer for useful comments and Emma
   Teuten for map production.
CR [Anonymous], 2012, R: A Language and Environment for Statistical Computing
   [Anonymous], 2012, ANAL PHYLOGENETICS E
   [Anonymous], FACTORS AFFECTING BR
   Bellamy PE, 2012, APPL VEG SCI, V15, P129, DOI 10.1111/j.1654-109X.2011.01151.x
   Bellard C, 2012, ECOL LETT, V15, P365, DOI 10.1111/j.1461-0248.2011.01736.x
   BROWN AF, 1993, BIRD STUDY, V40, P189, DOI 10.1080/00063659309477182
   Byrkjedal I., 1998, Tundra plovers: The Eurasian, Pacific and American Golden Plover and Grey Plover
   Cahill AE, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2012.1890
   Carroll MJ, 2011, GLOBAL CHANGE BIOL, V17, P2991, DOI 10.1111/j.1365-2486.2011.02416.x
   Clark JM, 2010, CLIM RES, V45, P131, DOI 10.3354/cr00929
   COULSON JC, 1962, J ANIM ECOL, V31, P1, DOI 10.2307/2329
   Cramp S., 1983, HDB BIRDS EUROPE MID, VIII
   Dawson TP, 2011, SCIENCE, V332, P53, DOI 10.1126/science.1200303
   Dennis P, 2008, J APPL ECOL, V45, P279, DOI 10.1111/j.1365-2664.2007.01378.x
   Finney SK, 2005, BIOL CONSERV, V121, P53, DOI 10.1016/j.biocon.2004.04.009
   Fletcher K, 2010, J APPL ECOL, V47, P263, DOI 10.1111/j.1365-2664.2010.01793.x
   GALBRAITH H, 1993, IBIS, V135, P148, DOI 10.1111/j.1474-919X.1993.tb02826.x
   Heller NE, 2009, BIOL CONSERV, V142, P14, DOI 10.1016/j.biocon.2008.10.006
   Mawdsley JR, 2009, CONSERV BIOL, V23, P1080, DOI 10.1111/j.1523-1739.2009.01264.x
   Montanarella L., 2006, MIRES PEAT, V1, P1
   Payton ME, 2003, J INSECT SCI, V3, DOI 10.1093/jis/3.1.34
   Pearce-Higgins JW, 2011, IBIS, V153, P207, DOI 10.1111/j.1474-919X.2010.01086.x
   Pearce-Higgins J.W., 2011, CHANGING NATURE SCOT, P397
   Pearce-Higgins JW, 2011, IBIS, V153, P345, DOI 10.1111/j.1474-919X.2011.01108.x
   Pearce-Higgins JW, 2010, CLIM RES, V45, P119, DOI 10.3354/cr00920
   Pearce-Higgins JW, 2010, GLOBAL CHANGE BIOL, V16, P12, DOI 10.1111/j.1365-2486.2009.01883.x
   Pearce-Higgins JW, 2006, BIRD STUDY, V53, P112, DOI 10.1080/00063650609461424
   Pearce-Higgins JW, 2005, BIRD STUDY, V52, P339, DOI 10.1080/00063650509461408
   Pearce-Higgins JW, 2004, IBIS, V146, P335, DOI 10.1111/j.1474-919X.2004.00278.x
   Pearce-Higgins JW, 2002, IBIS, V144, P200, DOI 10.1046/j.1474-919X.2002.00048.x
   Thomas CD, 2004, NATURE, V427, P145, DOI 10.1038/nature02121
   YALDEN PE, 1990, BIOL CONSERV, V51, P243, DOI 10.1016/0006-3207(90)90111-2
NR 32
TC 22
Z9 23
U1 0
U2 57
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1367-9430
EI 1469-1795
J9 ANIM CONSERV
JI Anim. Conserv.
PD DEC
PY 2014
VL 17
IS 6
BP 535
EP 543
DI 10.1111/acv.12119
PG 9
WC Biodiversity Conservation; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA AW4XN
UT WOS:000346281000008
DA 2025-01-10
ER

PT J
AU Zanon, B
   Verones, S
AF Zanon, Bruno
   Verones, Sara
TI Climate change, urban energy and planning practices: Italian experiences
   of innovation in land management tools
SO LAND USE POLICY
LA English
DT Article
DE Climate change; Energy planning; Urban planning; Land management tools;
   Italy
ID MULTILEVEL GOVERNANCE; SUSTAINABLE CITIES; CHANGE ADAPTATION;
   PROPERTY-RIGHTS; CARBON; SOLAR; INSTRUMENTS; CHALLENGES; BUILDINGS;
   DAYLIGHT
AB Climate change and energy saving are challenging the city and the territorial organization. Innovative spatial and urban planning methods and procedures are required, and new approaches and instruments must be elaborated and applied in order to shift from the building scale to the urban and territorial ones. In fact, while energy saving and emission control measures are usually applied to single buildings, plants and technological systems, the urban and territorial scales are not fully considered, although energy consumption and greenhouse gases reduction are connected to the urban form and density, to activities allocation, to mobility, etc., thus involving spatial and land-use planning decisions. It is therefore urgent to overcome the divide between energy and urban planning by elaborating and using new implementation tools. In general, the usual top-down, public-led actions are no longer politically and economically viable, whereas new methods based on public-private partnerships are being progressively adopted. This is a major change, which may set new objectives for planning practices in terms of urban quality, equity, and energy efficiency. This perspective requires redefinition of the usual methods for development rights assignment, and the activation of new planning procedures based on the assessment of actions in terms of performance instead of conformance to pre-defined rules. The expected results regard a more efficient land market and better performing development (or re-development) choices.
   The article focuses on the Italian case and analyzes the possibility of integrating energy planning with spatial planning, the effectiveness of plan implementation mechanisms, and the prospect of integrate public-led interventions with market tools. Recent innovations in the legislative framework support the inclusion of energy saving and climate change adaptation and mitigation goals in plan implementation procedures. (C) 2012 Elsevier Ltd. All rights reserved.
C1 [Zanon, Bruno; Verones, Sara] Univ Trento, Dept Civil Environm & Mech Engn, I-38123 Trento, Italy.
C3 University of Trento
RP Zanon, B (corresponding author), Univ Trento, Dept Civil Environm & Mech Engn, Via Mesiano 77, I-38123 Trento, Italy.
EM bruno.zanon@unitn.it
RI Zanon, Bruno/E-9204-2013
OI Zanon, Bruno/0000-0003-2025-3198
CR Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Akbari H, 2001, SOL ENERGY, V70, P295, DOI 10.1016/S0038-092X(00)00089-X
   [Anonymous], GESTIONE PIANI URBAN
   [Anonymous], SUSTAINABLE DEV URBA
   [Anonymous], [No title captured]
   [Anonymous], 2011, Energy Efficiency Plan 2011.
   [Anonymous], COM201117 EUR COMM
   [Anonymous], 2011, Communication From the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions "A Roadmap for Moving to a Competitive Low Carbon Economy in 2050"
   [Anonymous], 62008 EEA
   [Anonymous], 2009, WORLD BANK URB S CLI
   Bagliani M, 2010, J ENVIRON PLANN MAN, V53, P457, DOI 10.1080/09640561003694336
   Baker Nick., 2000, ENERGY ENV ARCHITECT
   Banister D., 2006, IET Proceedings Intelligent Transport Systems, V153, P276, DOI 10.1049/ip-its:20060009
   Banister D, 1997, ENVIRON PLANN B, V24, P125, DOI 10.1068/b240125
   Banister D., 2009, Planning for Climate Change: Strategies for Mitigation and Adaptation for Spatial Planners, P55
   Banister D., 1992, SUSTAINABLE DEV URBA, P160
   Bartolini A., 2008, RIV GIURIDICA URBANI, P429
   Betsill MM, 2006, GLOBAL GOV, V12, P141, DOI 10.1163/19426720-01202004
   Betsill MicheleM., 2003, CITIES CLIMATE CHANG
   Bicknell J., 2009, Adapting Cities to Climate Change: Understanding and Addressing the Development Challenges
   Biesbroek GR, 2009, HABITAT INT, V33, P230, DOI 10.1016/j.habitatint.2008.10.001
   Boscolo E., 2010, RIV GIURIDICA URBANI, V1, P104
   Breheny M., 1996, The compact city, P13, DOI DOI 10.4324/9780203362372
   Breheny M.J., 1992, Sustainable development and urban form, V2
   Brenner N, 2001, PROG HUM GEOG, V25, P591, DOI 10.1191/030913201682688959
   Brenner Neil., 2004, New State Spaces: Urban Governance and the Rescaling of Statehood
   Buitelaar E, 2007, TOWN PLAN REV, V78, P1, DOI 10.3828/tpr.78.1.1
   Buitelaar E, 2007, TOWN PLAN REV, V78, P119, DOI 10.3828/tpr.78.1.8
   Bulkeley H, 2005, ENVIRON POLIT, V14, P42, DOI 10.1080/0964401042000310178
   Bulkeley H., 2009, PLANNING CLIMATE CHA, P319
   Bulkeley H, 2006, URBAN STUD, V43, P2237, DOI 10.1080/00420980600936491
   Bulkeley H, 2006, ENVIRON PLANN A, V38, P1029, DOI 10.1068/a37300
   Campbell H, 2006, PLAN THEORY PRACT, V7, P201, DOI 10.1080/14649350600681875
   Compagnon R, 2004, ENERG BUILDINGS, V36, P321, DOI 10.1016/j.enbuild.2004.01.009
   Coralli L., 2003, PIANIFICAZIONE ENERG
   CRESME Fondazione Housing Sociale, 2011, 19 CRESME
   Dente B., 1996, ENV POLICY SEARCH NE
   Di Piazza F., 2010, URBANISTICA INFORM, V229, P25
   Echenique MH, 2012, J AM PLANN ASSOC, V78, P121, DOI 10.1080/01944363.2012.666731
   ELLICKSON RC, 1993, YALE LAW J, V102, P1315, DOI 10.2307/796972
   ENEA, 2012, COMP RAPP EN AMB 200
   ENEA, 1997, GUID PIAN EN COM
   European Commission (EC), 2010, EN 2020 STRAT COMP S
   Gadsden S, 2003, ENERG BUILDINGS, V35, P37, DOI 10.1016/S0378-7788(02)00078-6
   Gossop C, 2011, CITIES, V28, P495, DOI 10.1016/j.cities.2011.09.003
   Greiving S, 2012, EUR PLAN STUD, V20, P27, DOI 10.1080/09654313.2011.638493
   Gualini E, 2006, EUR PLAN STUD, V14, P881, DOI 10.1080/09654310500496255
   Hachem C, 2011, ENERG BUILDINGS, V43, P2262, DOI 10.1016/j.enbuild.2011.05.008
   Healey P., 2002, Shaping City Centre Futures: Conservation, Regeneration and Institutional Capacity
   HEALY P, 1995, MANAGING CITIES, P1
   Jenks M., 1996, The compact city: a sustainable urban form?
   Itard L, 2007, BUILD RES INF, V35, P252, DOI 10.1080/09613210601068161
   Kearns A, 2000, URBAN STUD, V37, P845, DOI 10.1080/00420980050011118
   Kern Kristine., 2008, Competitive Cities and Climate Change, V171
   Lai W.L., 2005, Planning Theory, V4, P7, DOI DOI 10.1177/1473095205051437
   Laukkonen J, 2009, HABITAT INT, V33, P287, DOI 10.1016/j.habitatint.2008.10.003
   Levinson R, 2009, SOL ENERGY, V83, P2120, DOI 10.1016/j.solener.2009.07.016
   Lindseth G., 2004, Local Environ, V9, P325, DOI DOI 10.1080/1354983042000246252
   Littlefair P, 2001, SOL ENERGY, V70, P177, DOI 10.1016/S0038-092X(00)00099-2
   Littlefair P.J., 1991, SITE LAYOUT PLANNING
   Lombardi DR, 2011, URBAN STUD, V48, P273, DOI 10.1177/0042098009360690
   Meijer M, 2011, CITIES, V28, P536, DOI 10.1016/j.cities.2011.07.001
   Micelli E, 2002, URBAN STUD, V39, P141, DOI 10.1080/00420980220099122
   Naess P., 2003, EJTIR, V3, P155
   Næss P, 2005, PROG PLANN, V63, P161, DOI 10.1016/j.progress.2004.08.003
   OECD, 2008, OECD C 737 P MIL IT
   OKE TR, 1988, ENERG BUILDINGS, V11, P103, DOI 10.1016/0378-7788(88)90026-6
   OWENS S, 1989, ENERG POLICY, V17, P97, DOI 10.1016/0301-4215(89)90087-6
   Owens S., 1984, ENERGY PLANNING URBA
   OWENS SE, 1992, APPL ENERG, V43, P81, DOI 10.1016/0306-2619(92)90075-M
   Power A, 2008, ENERG POLICY, V36, P4487, DOI 10.1016/j.enpol.2008.09.022
   Priemus H, 2012, EUR PLAN STUD, V20, P1, DOI 10.1080/09654313.2011.638495
   Ratti C, 2005, ENERG BUILDINGS, V37, P762, DOI 10.1016/j.enbuild.2004.10.010
   Ratti C, 2003, ENERG BUILDINGS, V35, P49, DOI 10.1016/S0378-7788(02)00079-8
   Romero-Lankao P, 2012, EUR PLAN STUD, V20, P7, DOI 10.1080/09654313.2011.638496
   Smith B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966
   Spaans M, 2008, NEW INSTRUMENTS SPAT, P17
   Spaans M, 2011, TOWN PLAN REV, V82, P425, DOI 10.3828/tpr.2011.25
   Steemers K, 2003, ENERG BUILDINGS, V35, P3, DOI 10.1016/S0378-7788(02)00075-0
   Steemers K, 1998, BUILD RES INF, V26, P103, DOI 10.1080/096132198370029
   Tiesdell S., 2011, URBAN DESIGN REAL ES, P1
   Tiesdell S, 2005, PLANNING, PUBLIC POLICY AND PROPERTY MARKETS, P56
   Torres M, 2011, CITIES, V28, P576, DOI 10.1016/j.cities.2011.06.005
   Urbani P, 2000, URBANISTICA CONSENSU
   Ürge-Vorsatz D, 2007, BUILD RES INF, V35, P458, DOI 10.1080/09613210701327384
   van der Veen M, 2010, LAND USE POLICY, V27, P1010, DOI 10.1016/j.landusepol.2010.01.003
   Verhoef ET, 2002, ECOL ECON, V40, P157, DOI 10.1016/S0921-8009(01)00253-1
   Webster CJ, 1998, URBAN STUD, V35, P53, DOI 10.1080/0042098985078
   Wilson E., 2010, SPATIAL PLANNING CLI
   Wilson E, 2006, LOCAL ENVIRON, V11, P609, DOI 10.1080/13549830600853635
   Zanon B, 2010, EUR PLAN STUD, V18, P2049, DOI 10.1080/09654313.2010.515822
NR 91
TC 82
Z9 87
U1 3
U2 159
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0264-8377
EI 1873-5754
J9 LAND USE POLICY
JI Land Use Pol.
PD MAY
PY 2013
VL 32
BP 343
EP 355
DI 10.1016/j.landusepol.2012.11.009
PG 13
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 096TG
UT WOS:000315426600036
DA 2025-01-10
ER

PT J
AU Kaya, HO
   Altin, M
AF Kaya, Hande Odaman
   Altin, Mujde
TI A Model for Designing Climate Adaptive Shading Devices: The Case of
   Bayrakli Tower
SO JOURNAL OF POLYTECHNIC-POLITEKNIK DERGISI
LA English
DT Article
DE Building energy performance; openstudio simulation; sun-path diagram;
   climate adaptive shading device; electricity consumption
AB Facade is accepted as a determinant component on energy performance of a building, forming the boundaries between inner and outer conditions. With an intention to improve the building energy performance of an existing office building, facade integrated shading devices are examined through the cooling energy consumptions. OpenStudio simulation software is used for calculating heating and cooling electricity consumptions Shading. The ilding simulation model is validated by comparing the simulation results with monthly electricity consumption bills. device requirements are determined by using the building model without shading devices and simulation results are studied together with the sun path diagram analysis results. Hourly and seasonal solar movements are considered as the main parameters affecting the 'transparency' and 'elevation angles' of the shading devices. As a result of the shading device requirement analysis, climate adaptive shading device (CASD) scenarios are presented for the case building. Consequently, existing shading devices and proposed CASD scenarios are compared and discussed in terms of electricity consumptions and window solar radiation energy parameters. As a result of the comparisons, shading devices that are adaptable to both hourly and seasonal solar movements gave the highest improvement results in terms of decreasing cooling energy consumptions. Also, suggestions are given for developing the best performing facade for further studies.
C1 [Kaya, Hande Odaman] Kayapim Mimarlik, Mansuroglu Mah 286-7 Sok 10-11 Bayrakli, Izmir, Turkey.
   Dokuz Eylul Univ, Mimarlik Bolumu, Mimarlik Fak, Izmir, Turkey.
C3 Dokuz Eylul University
RP Kaya, HO (corresponding author), Kayapim Mimarlik, Mansuroglu Mah 286-7 Sok 10-11 Bayrakli, Izmir, Turkey.
EM hodamankaya@gmail.com
RI ALTIN, Müjde/AAL-8396-2020
OI ALTIN, Mujde/0000-0001-6948-9463
CR Abboushi B. K., 2013, THESIS U ARIZONA
   Aelenei D, 2016, ENRGY PROCED, V91, P269, DOI 10.1016/j.egypro.2016.06.218
   [Anonymous], 1999, BINALARDA ISI YALITI
   ASHRAE, 2009, NONR COOL HEAT LOAD
   Attia S., 2015, BUILDING SKINS, P1265
   Bianco L, 2018, ENERG BUILDINGS, V163, P92, DOI 10.1016/j.enbuild.2017.12.015
   Climate.OneBuilding, 2019, WMO REG 6 EUR RESP F
   Cohen D. A, 1998, ACEEE SUMMER STUDY E
   de Boer B. B., 2011, Climate adaptive building shells for the future-optimization with an inverse modelling approach, P1413
   European Commission, 2018, IN-DEPTH ANALYSIS IN SUPPORT OF THE COMMISSION COMMUNICATION COM (2018) 773 A Clean Planet for all A European long-term strategic vision for a prosperous, modern, competitive and Table of Contents, (November
   Favoino F, 2015, APPL ENERG, V156, P1, DOI 10.1016/j.apenergy.2015.05.065
   Favoino F, 2014, ENRGY PROCED, V62, P289, DOI 10.1016/j.egypro.2014.12.390
   Ferguson S, 2008, PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE 2007, VOL 6, PTS A AND B, P249
   Ganic N, 2012, THESIS ISTANBUL TECH
   Gur N. V, 2007, THESIS ISTANBUL TECH
   Gur N. V., 2008, ITUDERGISIA MIMARLIK, V7, P74
   Kim KH, 2011, ENERG BUILDINGS, V43, P3436, DOI 10.1016/j.enbuild.2011.09.006
   Krieder J.F., 1994, ASHRAE J, V36, P6
   Loonen R., 2010, P 9 INT C SYST SIM B, P1
   Loonen RCGM, 2013, RENEW SUST ENERG REV, V25, P483, DOI 10.1016/j.rser.2013.04.016
   Loonen R.C.G.M., 2015, C P 10 ENERGY FORUM, P1274
   Loonen RCGM, 2017, J BUILD PERFORM SIMU, V10, P205, DOI 10.1080/19401493.2016.1152303
   McCray J.A., 1995, PROCEEDING BUILDING, V95, P461
   OECD, 2001, CLIMATE CHANGE
   Orhon A. V., 2013, 11 UL TES MUH KONGR, P1481
   SunEarthTools, 2017, SOLAR TOOLS
   T.C. Cevre ve Sehircilik Bakanligi, 2017, TMOBB EL MUH OD
   Van Dijk R., 2010, ADAPTABLESAN ADAPATI
NR 28
TC 0
Z9 0
U1 1
U2 12
PU GAZI UNIV
PI ANKARA
PA CENTER CAMPUS TECHNOLOGY FAC B BLOCK EK BINA, 2ND FL, ANKARA, 06500,
   TURKEY
SN 1302-0900
EI 2147-9429
J9 J POLYTECH
JI J. Polytech.
PD DEC
PY 2021
VL 24
IS 4
BP 1419
EP 1431
DI 10.2339/politeknik.634771
PG 13
WC Engineering, Multidisciplinary
WE Emerging Sources Citation Index (ESCI)
SC Engineering
GA ZJ5FR
UT WOS:000762330700010
OA gold
DA 2025-01-10
ER

PT J
AU Kellison, T
   Orr, M
AF Kellison, Timothy
   Orr, Madeleine
TI Climate vulnerability as a catalyst for early stadium replacement
SO INTERNATIONAL JOURNAL OF SPORTS MARKETING & SPONSORSHIP
LA English
DT Article
DE Sport ecology; Politics; Public finance; Organizational climate
   capacity; Climate impacts on organizations
ID ADAPTIVE CAPACITY; ADAPTATION; SPORT
AB Purpose Severe hazards associated with climate change are threatening human settlements, thereby requiring global cities to implement comprehensive climate adaptation strategies. For sports organizations, adaptive measures may include designing and constructing new stadiums. In this study, the authors explore climate change as a vehicle for urban transformation, particularly as it relates to the replacement of existing stadiums with new, more sustainable and resilient venues. Design/methodology/approach The authors employed a collective case study approach focusing on three recent cases of stadium replacement: Globe Life Field in Arlington, Texas; Oakland Ballpark in Oakland, California; and Marlins Park in Miami, Florida. These cases were selected because an official representative of each team made explicit references to some form of climate adaptation, though each ballpark faces a distinctive climate-related threat. Findings Each of the cases illustrates the various ways in which climate vulnerability may be deployed by teams and policymakers to replace professional sports stadiums. Although all three examples involved the replacement of an existing ballpark, only in the Texas case was climate adaptation openly cited as the primary reason for stadium replacement. Still, ballpark replacement plans in Oakland and Miami included significant and costly design features to protect the stadiums from extreme weather events. Originality/value This study applies the concept of climate vulnerability to illustrate a potential strategy to justify stadium replacement. As cities and metropolitan regions continue to grapple with the grand challenge of climate change, the associated vulnerability of large public assembly facilities such as major sports stadiums - particularly those prominently situated in urban centers - can no longer be ignored.
C1 [Kellison, Timothy] Georgia State Univ, Atlanta, GA 30303 USA.
   [Orr, Madeleine] SUNY Coll Cortland, Cortland, NY USA.
C3 University System of Georgia; Georgia State University; State University
   of New York (SUNY) System; SUNY Cortland
RP Kellison, T (corresponding author), Georgia State Univ, Atlanta, GA 30303 USA.
EM tkellison@gsu.edu; orrxx163@umn.edu
RI Kellison, Timothy/AGE-0579-2022
OI Kellison, Timothy/0000-0002-3706-250X
CR [Anonymous], 2016, NY TIMES
   Aylett A., 2014, Progress and Challenges in the Urban Governance of Climate Change Results of a Global Survey
   Baker M.B., 2016, FORT WORTH STAR 0813
   Belson K., 2009, NY TIMES
   Berkhout F, 2012, WIRES CLIM CHANGE, V3, P91, DOI 10.1002/wcc.154
   Bohls K., 1991, AUSTIN AM STATESMAN, pC1
   Boltuch B., 2019, SAN FRANCISCO CHRONI
   Brumfield L., 2017, DALLAS MORNING NEWS
   Center for Sport and Urban Policy, 2020, N AM PROF SPORT STAD
   Center for Sport and Urban Policy, 2020, N AM PROF SPORT REF
   Chu E, 2017, CITIES, V60, P378, DOI 10.1016/j.cities.2016.10.016
   Coffey J, 2020, J HIGH ENERGY PHYS, DOI 10.1007/JHEP07(2020)179
   Creswell J. W., 2016, Qualitative inquiry and research design: Choosing among five approaches
   DeBolt D., 2019, MERCURY NEWS    0330
   deMause N., 2008, FIELD SCHEMES GREAT
   deMause N., 2005, FIELD SCHEMES
   Dhar TK, 2017, J ENVIRON PLANN MAN, V60, P602, DOI 10.1080/09640568.2016.1178107
   Dickey G., 2005, SAN FRANCISCO CHRONI
   Dingle GW, 2018, MANAG SPORT LEIS, V23, P293, DOI 10.1080/23750472.2018.1527715
   Dusenbury W., 2019, S FLORIDA SUN SENTIN, pC1
   Elmore C., 2005, PALM BEACH POST 0930, p1C
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Formby B., 2016, TEXAS TRIBUNE   1029
   Fox J., 2019, BLOOMBERG
   Freeman D.H., 1992, AUSTIN AM STATESMAN, pE3
   Georgeson L, 2016, NAT CLIM CHANGE, V6, P584, DOI [10.1038/nclimate2944, 10.1038/NCLIMATE2944]
   Goddard J., 2010, ENCY CASE STUDY RES, P164, DOI [10.4135/9781412957397.n59, DOI 10.4135/9781412957397.N59]
   Grant E., 2019, DALLAS MORNING NEWS
   Grant E., 2014, DALLAS MORNING NEWS
   Hickey J., 2018, RISING WATERS COULD
   Hinkel J, 2011, GLOBAL ENVIRON CHANG, V21, P198, DOI 10.1016/j.gloenvcha.2010.08.002
   Hyatt CraigG., 2007, J SPORT BEHAV, V30, P36
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Kellison TB, 2014, J SPORT MANAGE, V28, P162, DOI 10.1123/jsm.2012-0210
   Kellison TB, 2012, SPORT MANAG REV, V15, P500, DOI 10.1016/j.smr.2012.01.005
   Levi R., 2018, KQED
   Long J.G., 2013, Public-private partnerships for major league sports facilities
   Madden T., 2016, WFAA            0519
   Maese R., 2019, WASHINGTON POST
   Mason DS, 2015, J SPORT MANAGE, V29, P539, DOI 10.1123/jsm.2014-0156
   Matheson V, 2019, J POLICY ANAL MANAG, V38, P271, DOI 10.1002/pam.22096
   Matier P., 2020, San Francisco Chronicle
   Matier P., 2018, SAN FRANCISCO CHRONI
   McCauley J., 2018, ASS PRESS
   McCullough B.P., J SPORT MANAGEMENT
   McGehee GM, 2020, J SPORT MANAGE, V34, P229, DOI 10.1123/jsm.2018-0347
   McLeod C.M., 2018, ROUTLEDGE HDB SPORT, P429
   Misener L, 2008, J SPORT MANAGE, V22, P603, DOI 10.1123/jsm.22.5.603
   Mondello M., 2016, Journal of Contemporary Athletics, V10, P139
   Mosier J., 2016, DALLAS MORNING NEWS
   Mufson S., 2019, The Washington Post
   Nicas J., 2019, NY TIMES, pB10
   Norman M, 2015, J SPORT SOC ISSUES, V39, P19, DOI 10.1177/0193723514541282
   Oakland A's, 2019, AS ANNOUNCE PARTNERS
   Orr M, 2020, MANAG SPORT LEIS, V25, P307, DOI 10.1080/23750472.2020.1723436
   Orr M, 2019, SPORT MANAG REV, V22, P452, DOI 10.1016/j.smr.2018.09.007
   Peterson G., 2018, MERCURY NEWS    1130
   Pfleegor AG, 2013, SPORT MANAG REV, V16, P378, DOI 10.1016/j.smr.2012.10.002
   Propheter G, 2019, J URBAN AFF, V41, P842, DOI 10.1080/07352166.2019.1572454
   Raimi D., 2020, Florida climate outlook assessing physical and economic impacts through 2040
   Rangers New Ballpark Quarterly News, 2017, RANGERS NEW BALL MAR, P5
   Reynolds T., 2007, ASS PRESS
   Richards G., 2017, MIAMI HERALD
   Richter M., 2016, FORT WORTH BUSI 0520
   RWDI, 2020, MARL PARK
   Sapotichne J., 2012, City, Culture and Society, V3, P169, DOI [https://doi.org/10.1016/j.ccs.2012.06.001, DOI 10.1016/J.CCS.2012.06.001]
   Schaaf L., 2019, SAN FRANCISCO CHRONI
   Scherrington K., 2019, DALLAS MORNING NEWS
   Schwandt TA., 2018, SAGE HDB QUALITATIVE, P341
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   State of California, 2019, PROTECTING INDOOR WO
   Stevenson S., 2016, FORT WORTH STAR TELE
   van Holm EJ, 2018, URBAN AFF REV, V54, P632, DOI 10.1177/1078087416663003
   Veklerov K., 2019, SAN FRANCISCO CHRONI
   Wine S., 2005, ASS PRESS
   Wine S., 2006, ASS PRESS
NR 76
TC 15
Z9 16
U1 0
U2 30
PU EMERALD GROUP PUBLISHING LTD
PI BINGLEY
PA HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND
SN 1464-6668
EI 2515-7841
J9 INT J SPORT MARK SPO
JI Int. J. Sports Mark. Spons.
PD MAR 29
PY 2021
VL 22
IS 1
SI SI
BP 126
EP 141
DI 10.1108/IJSMS-04-2020-0076
EA SEP 2020
PG 16
WC Hospitality, Leisure, Sport & Tourism
WE Social Science Citation Index (SSCI)
SC Social Sciences - Other Topics
GA RG0DE
UT WOS:000565942700001
DA 2025-01-10
ER

PT J
AU Yu, ZW
   Guo, XY
   Jorgensen, G
   Vejre, H
AF Yu, Zhaowu
   Guo, Xieying
   Jorgensen, Gertrud
   Vejre, Henrik
TI How can urban green spaces be planned for climate adaptation in
   subtropical cities?
SO ECOLOGICAL INDICATORS
LA English
DT Article
DE Urban greenspace; Urban cooling island; Threshold value of efficiency;
   Urban planning; Climate adaptation
ID LAND-SURFACE TEMPERATURE; HEAT-ISLAND; WINDOW ALGORITHM; MITIGATION;
   RETRIEVAL; LANDSCAPE; PATTERN; IMPACT; AREAS
AB The cooling effect of greenspaces is an important ecosystem service, essential for mitigating the urban heat island (UHI) effect and thus increasing urban resilience to climate change. Techniques based on landscape planning to alleviate the increasing frequency of extreme climate are becoming more of a focus in urban ecology studies. In this paper, we proposed and defined the urban cooling island (UCI) extent, intensity, and efficiency, as well as the threshold value of efficiency (TVoE) introduced from the "law of diminishing marginal utility" for the first time. The radiative transfer equation has been compared with other algorithms and used to retrieve accurate land surface temperature (LST) in a subtropical city of China Fuzhou. Two important and arguable factor size and shape of greenspaces also been expressed and explored. The results indicate that: (1) larger-sized greenspaces produce a higher cooling effect. However, there exist a TVoE, which is in line with our hypothesis. The TVoE in Fuzhou is 4.55 ha. (2) The circles and squares greenspaces have a significant correlation with LST and also show the highest UCI intensity and efficiency. (3) 92% of the maximum extent of greenspaces are within the 30-180 m limit, and the mean UCI extent and intensity are 104 m and 1.78 C. (4) The greenspaces connected with waterbodies intensified the UCI effects, whereas the grassland-based greenspace shows the weakest UCI effects. The methodology and results of this study could help urban planners to mitigate the UHI effects efficiently, and to employ the climate adaptive planning.
C1 [Yu, Zhaowu; Guo, Xieying; Jorgensen, Gertrud; Vejre, Henrik] Univ Copenhagen, Dept Geosci & Nat Resource Management, Fac Sci, DK-1958 Copenhagen, Denmark.
C3 University of Copenhagen
RP Yu, ZW (corresponding author), Univ Copenhagen, Dept Geosci & Nat Resource Management, Fac Sci, DK-1958 Copenhagen, Denmark.
EM zhyu@ign.ku.dk
RI Yu, Zhaowu/E-8032-2016; Jorgensen, Gertrud/B-1396-2015; Vejre,
   Henrik/P-7142-2014
OI Yu, Zhaowu/0000-0003-4576-4541; Jorgensen, Gertrud/0000-0003-3987-3098;
   Vejre, Henrik/0000-0002-6820-0389
FU National Natural Science Foundation of China [41301621]; Natural Science
   Foundation of Fujian province [2015J01177]; Chinese Scholarship Council
   (CSC)
FX This study was financed by the National Natural Science Foundation of
   China (no: 41301621) and the Natural Science Foundation of Fujian
   province (no: 2015J01177). This study was also supported by the Chinese
   Scholarship Council (CSC). We would like to thank Johanne Heesche and
   Mark Randal (University of Copenhagen) for their assistance, and thanks
   for the two anonymous reviewers.
CR Adams L.W., 1989, Wildlife reserves and corridors in urban environments
   Akbari H, 2016, ENERG BUILDINGS, V133, P834, DOI 10.1016/j.enbuild.2016.09.067
   Armson D, 2012, URBAN FOR URBAN GREE, V11, P245, DOI 10.1016/j.ufug.2012.05.002
   Asgarian A, 2015, URBAN ECOSYST, V18, P209, DOI 10.1007/s11252-014-0387-7
   Bao TLG, 2016, ISPRS INT GEO-INF, V5, DOI 10.3390/ijgi5020012
   Beniston M, 2004, GLOBAL PLANET CHANGE, V44, P73, DOI 10.1016/j.gloplacha.2004.06.006
   Bowler DE, 2010, LANDSCAPE URBAN PLAN, V97, P147, DOI 10.1016/j.landurbplan.2010.05.006
   Cao X, 2010, LANDSCAPE URBAN PLAN, V96, P224, DOI 10.1016/j.landurbplan.2010.03.008
   Chandiasekhar S., 2013, RAD TRANSFER
   Chang CR, 2007, LANDSCAPE URBAN PLAN, V80, P386, DOI 10.1016/j.landurbplan.2006.09.005
   Cheung HKW, 2016, BUILD SERV ENG RES T, V37, P5, DOI 10.1177/0143624415588890
   Du HY, 2016, ECOL INDIC, V67, P31, DOI 10.1016/j.ecolind.2016.02.040
   Foley JA, 2005, SCIENCE, V309, P570, DOI 10.1126/science.1111772
   Forman RTT, 2014, URBAN ECOLOGY: SCIENCE OF CITIES, P1
   Gabriel KMA, 2011, ENVIRON POLLUT, V159, P2044, DOI 10.1016/j.envpol.2011.01.016
   Grimmond S, 2007, GEOGR J, V173, P83, DOI 10.1111/j.1475-4959.2007.232_3.x
   Jagamnohan M., 2015, J ENVIRON QUAL
   Jaganmohan M, 2016, J ENVIRON QUAL, V45, P134, DOI 10.2134/jeq2015.01.0062
   Jia L., 2009, Chin. Landsc. Archit, V25, P97, DOI 10.3969/j.issn.1000-6664.2009.12.030
   Jiménez-Muñoz JC, 2014, IEEE GEOSCI REMOTE S, V11, P1840, DOI 10.1109/LGRS.2014.2312032
   Jiménez-Muñoz JC, 2009, IEEE T GEOSCI REMOTE, V47, P339, DOI 10.1109/TGRS.2008.2007125
   Kaza N, 2013, LANDSCAPE URBAN PLAN, V110, P74, DOI 10.1016/j.landurbplan.2012.10.015
   Kong FH, 2014, LANDSCAPE URBAN PLAN, V128, P35, DOI 10.1016/j.landurbplan.2014.04.018
   Kuang WH, 2015, LANDSCAPE ECOL, V30, P357, DOI 10.1007/s10980-014-0128-6
   Lin WQ, 2015, LANDSCAPE URBAN PLAN, V134, P66, DOI 10.1016/j.landurbplan.2014.10.012
   McDonald R., 2016, Nature Conservancy, V1, P1
   McGarigal K., 1995, PNWGTR351 USDA FOR S, DOI DOI 10.2737/PNW-GTR-351
   Mikami T, 2009, 7 INT C URB CLIM YOK
   Monteiro MV, 2016, URBAN FOR URBAN GREE, V16, P160, DOI 10.1016/j.ufug.2016.02.008
   Oke T. R., 1987, Boundary layer climates, V2nd
   OKE TR, 1982, Q J ROY METEOR SOC, V108, P1, DOI 10.1002/qj.49710845502
   Oliveira S, 2011, BUILD ENVIRON, V46, P2186, DOI 10.1016/j.buildenv.2011.04.034
   Peng J, 2016, REMOTE SENS ENVIRON, V173, P145, DOI 10.1016/j.rse.2015.11.027
   Pitman SD, 2015, T ROY SOC SOUTH AUST, V139, P97, DOI 10.1080/03721426.2015.1035219
   Qin Z, 2001, INT J REMOTE SENS, V22, P3719, DOI 10.1080/01431160010006971
   Raudsepp-Hearne C, 2010, P NATL ACAD SCI USA, V107, P5242, DOI 10.1073/pnas.0907284107
   Ren Y., 2016, ENVIRON POLLUT
   Rios ManuelC., 2013, Economics: Prin- ciples, problems, and policies
   Rosenfeld AH, 1998, ENERG BUILDINGS, V28, P51, DOI 10.1016/S0378-7788(97)00063-7
   Shih WY, 2017, HABITAT INT, V60, P69, DOI 10.1016/j.habitatint.2016.12.006
   Sun RH, 2017, ECOSYST SERV, V23, P38, DOI 10.1016/j.ecoser.2016.11.011
   Sun RH, 2012, ECOL INDIC, V20, P57, DOI 10.1016/j.ecolind.2012.02.006
   Sun RH, 2012, LANDSCAPE URBAN PLAN, V105, P27, DOI 10.1016/j.landurbplan.2011.11.018
   Tiangco M, 2008, INT J REMOTE SENS, V29, P2799, DOI 10.1080/01431160701408360
   Upmanis H, 1998, INT J CLIMATOL, V18, P681, DOI 10.1002/(SICI)1097-0088(199805)18:6<681::AID-JOC289>3.0.CO;2-L
   Voogt JA, 2003, REMOTE SENS ENVIRON, V86, P370, DOI 10.1016/S0034-4257(03)00079-8
   Weng QH, 2011, IEEE T GEOSCI REMOTE, V49, P4080, DOI 10.1109/TGRS.2011.2128874
   Wilson JS, 2003, REMOTE SENS ENVIRON, V86, P303, DOI 10.1016/S0034-4257(03)00084-1
   Wong NH, 2005, HABITAT INT, V29, P547, DOI 10.1016/j.habitatint.2004.04.008
   Wong PPY, 2016, BUILD ENVIRON, V95, P199, DOI 10.1016/j.buildenv.2015.09.024
   Xuesen Q., 1993, Chinese Journal of Systems Engineering Electronics, V4, P2
   Yu XL, 2014, REMOTE SENS-BASEL, V6, P9829, DOI 10.3390/rs6109829
   Yu Zhao-wu, 2015, Yingyong Shengtai Xuebao, V26, P636
   Zhao L, 2014, NATURE, V511, P216, DOI 10.1038/nature13462
   Zhou WQ, 2011, LANDSCAPE URBAN PLAN, V102, P54, DOI 10.1016/j.landurbplan.2011.03.009
NR 55
TC 214
Z9 242
U1 19
U2 268
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1470-160X
EI 1872-7034
J9 ECOL INDIC
JI Ecol. Indic.
PD NOV
PY 2017
VL 82
BP 152
EP 162
DI 10.1016/j.ecolind.2017.07.002
PG 11
WC Biodiversity Conservation; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA FP3XQ
UT WOS:000417551700015
DA 2025-01-10
ER

PT J
AU Elizbarashvili, M
   Elizbarashvili, E
   Kalmar, T
   Khuntselia, T
   Chikhradze, N
AF Elizbarashvili, Mariam
   Elizbarashvili, Elizbar
   Kalmar, Timea
   Khuntselia, Tamar
   Chikhradze, Nino
TI ASSESSING REGIONAL CLIMATE MODEL REGCM4.7.1: INSIGHTS FROM SIMULATIONS
   IN GEORGIA
SO INTERNATIONAL JOURNAL OF GEOMATE
LA English
DT Article
DE Climate-resilient infrastructure; Standard deviation; Projection; High
   resolution; Observational data
ID RADIATIVE-TRANSFER; BOUNDARY-LAYER; PARAMETERIZATION; EXTREMES; SYSTEM;
   CORDEX; CLOUD
AB This study aims to assess the ability of the Abdus Salam International Centre for Theoretical Physics (ICTP) Regional Climate Model version 4.7.1 to reproduce historical monthly mean temperatures and precipitation in different physical geographical conditions of Georgia. RegCM4.7.1 simulation has been done at 12 km resolution over the territory of Georgia from 1985 to 2014, with the hourly ERA5 high-resolution atmospheric reanalysis of the global climate data of the European Centre for Medium-Range Weather Forecasts (ECMWF) as boundary conditions. Standard deviation is used to evaluate the model's performance against Georgia's meteorological station data. This metric helps quantify the agreement between model outputs and observed data. Conducting historical runs and validating the model against observed data contributes to understanding how regional climate models perform in regions with diverse geographical features and is crucial for ensuring the reliability of future climate projections. A group of weather stations with the best data modeling results in all months of the year when the difference between the actual and model data does not exceed the standard deviation value is Kutaisi, Gori, Sagarejo, Tbilisi, and Tsalka for air temperature and Akhalkalaki, Akhaltsikhe, Dedoplistskaro, Gori, Sagarejo, Tbilisi, Telavi, and Tianeti for precipitation. The modeling results are generally satisfactory, indicating that the model can be used effectively for future climate projections in Georgia. These findings provide valuable insights for policymakers, stakeholders, and researchers working on climate change adaptation in Georgia.
C1 [Elizbarashvili, Mariam; Khuntselia, Tamar; Chikhradze, Nino] Ivane Javakhishvili Tbilisi State Univ, Fac Exact & Nat Sci, Tbilisi, Georgia.
   [Elizbarashvili, Elizbar] Georgian Tech Univ, Dept Climatol & Agroclimatol, Tbilisi, Georgia.
   [Kalmar, Timea] Eotvos Lorand Univ, Dept Meteorol, Budapest, Hungary.
C3 Ivane Javakhishvili Tbilisi State University; Georgian Technical
   University; Eotvos Lorand University
RP Elizbarashvili, M (corresponding author), Ivane Javakhishvili Tbilisi State Univ, Fac Exact & Nat Sci, Tbilisi, Georgia.
RI Chikhradze, Nino/JPK-2993-2023
FU Shota Rustaveli National Science Foundation of Georgia (SRNSFG)
   [FR-19-8110]
FX This work was supported by the Shota Rustaveli National Science
   Foundation of Georgia (SRNSFG) grant number: FR-19-8110.
CR [Anonymous], 2018, National Atlas of Georgia
   [Anonymous], 2015, Georgia's Third National Communication to the UNFCCC
   [Anonymous], 2009, Georgia's Second National Communication to the UNFCCC
   Auld H., 2006, IEEE EIC CLIM CHANG, P1
   Connor T, 2013, AUST J STRUCT ENG, V14, P125, DOI 10.7158/S11-088.2013.14.2
   DICKINSON RE, 1989, CLIMATIC CHANGE, V15, P383, DOI 10.1007/BF00240465
   Elizbarashvili E., 2017, Climate of Georgia
   Elizbarashvili Mariam, 2017, Annals of Agrarian Science, V15, P17, DOI 10.1016/j.aasci.2017.02.001
   Elizbarashvili M., 2023, Georgian Geographical Journal, V3
   Elizbarashvili M., 2022, EGU GEN ASS C
   Elizbarashvili M., 2023, INT SCI C GEOPH PROC, P166
   Elizbarashvili M., 2023, EGU GEN ASS C
   Elizbarashvili M., 2021, AGU FALL M
   Elizbarashvili M, 2024, ATMOSPHERE-BASEL, V15, DOI 10.3390/atmos15030369
   Federico S, 2016, ADV METEOROL, V2016, DOI 10.1155/2016/5094126
   Gao XJ, 2017, ENGINEERING-PRC, V3, P766, DOI 10.1016/J.ENG.2017.05.019
   Gao XJ, 2011, SCI CHINA EARTH SCI, V54, P462, DOI 10.1007/s11430-010-4035-7
   GIORGI F, 1989, MON WEATHER REV, V117, P2325, DOI 10.1175/1520-0493(1989)117<2325:TCSOAR>2.0.CO;2
   GIORGI F, 1993, MON WEATHER REV, V121, P2794, DOI 10.1175/1520-0493(1993)121<2794:DOASGR>2.0.CO;2
   Giorgi F., 2009, Bulletin - World Meteorological Organization, V58, P175
   Giorgi F, 2012, CLIM RES, V52, P7, DOI 10.3354/cr01018
   Gu HH, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11101104
   Guerrero-Hidalga M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12124807
   Gutowski WJ, 2016, GEOSCI MODEL DEV, V9, P4087, DOI 10.5194/gmd-9-4087-2016
   Halenka T, 2006, THEOR APPL CLIMATOL, V86, P125, DOI 10.1007/s00704-005-0205-5
   Harris I, 2014, INT J CLIMATOL, V34, P623, DOI 10.1002/joc.3711
   Harris I., Version 4 of the CRU TS Monthly HighResolution Gridded Multivariate Climate Dataset
   Harrison S, 2023, J CLIM CHANGE HEALTH, V12, DOI 10.1016/j.joclim.2023.100235
   HOLTSLAG AAM, 1993, J CLIMATE, V6, P1825, DOI 10.1175/1520-0442(1993)006<1825:LVNBLD>2.0.CO;2
   Huber F., 2018, A Logical Introduction to Probability and Induction, P80, DOI 10.1239/aap/1029955143
   Iradukunda P, 2023, ENVIRON SUSTAIN IND, V20, DOI 10.1016/j.indic.2023.100312
   Kaewmesri P, 2020, INT J GEOMATE, V18, P55, DOI 10.21660/2020.65.32589
   Kaewmesri P, 2018, INT J GEOMATE, V14, P109, DOI 10.21660/2018.45.7326
   Keggenhoff I, 2014, WEATHER CLIM EXTREME, V4, P75, DOI 10.1016/j.wace.2014.05.001
   Keggenhoff I, 2015, WEATHER CLIM EXTREME, V8, P34, DOI 10.1016/j.wace.2014.11.002
   Keggenhoff I, 2015, CLIMATE, V3, P308, DOI 10.3390/cli3020308
   Mielikainen J, 2012, IEEE J-STARS, V5, P1256, DOI 10.1109/JSTARS.2012.2188780
   Mlawer EJ, 1997, J GEOPHYS RES-ATMOS, V102, P16663, DOI 10.1029/97JD00237
   Oleson KW, 2008, J GEOPHYS RES-BIOGEO, V113, DOI 10.1029/2007JG000563
   Pal JS, 2007, B AM METEOROL SOC, V88, P1395, DOI 10.1175/BAMS-88-9-1395
   Pal JS, 2000, J GEOPHYS RES-ATMOS, V105, P29579, DOI 10.1029/2000JD900415
   Reynolds RW, 2002, J CLIMATE, V15, P1609, DOI 10.1175/1520-0442(2002)015<1609:AIISAS>2.0.CO;2
   Shi Y, 2018, CLIM DYNAM, V51, P2375, DOI 10.1007/s00382-017-4018-x
   TIEDTKE M, 1989, MON WEATHER REV, V117, P1779, DOI 10.1175/1520-0493(1989)117<1779:ACMFSF>2.0.CO;2
   Ukkonen P, 2023, GEOSCI MODEL DEV, V16, P3241, DOI 10.5194/gmd-16-3241-2023
   Yin RobertK., 2002, APPL SOCIAL RES METH, V5, DOI DOI 10.1177/1356389013497081
   Zeng XB, 1998, J CLIMATE, V11, P2628, DOI 10.1175/1520-0442(1998)011<2628:IOBAAF>2.0.CO;2
NR 47
TC 0
Z9 0
U1 0
U2 0
PU GEOMATE INT SOC
PI TSU CITY
PA MIE UNIV, GRAD SCH OF BIORESOURCES, TSU CITY, MIE 514-8507, JAPAN
SN 2186-2982
EI 2186-2990
J9 INT J GEOMATE
JI Int. J. GEOMATE
PD SEP
PY 2024
VL 27
IS 121
BP 41
EP 55
DI 10.21660/2024.121.4455
PG 15
WC Engineering, Civil
WE Emerging Sources Citation Index (ESCI)
SC Engineering
GA I5M4W
UT WOS:001330697800005
OA gold
DA 2025-01-10
ER

PT J
AU Fujiwara, K
   Khomiakov, M
   Yap, W
   Ignatius, M
   Biljecki, F
AF Fujiwara, Kunihiko
   Khomiakov, Maxim
   Yap, Winston
   Ignatius, Marcel
   Biljecki, Filip
TI Microclimate Vision: Multimodal prediction of climatic parameters using
   street-level and satellite imagery
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Urban thermal environment; Heat risk management; Climate change
   adaptation; Urban morphology; Street-view imagery; Computer vision;
   Solar radiation
ID HUMAN THERMAL COMFORT; URBAN HEAT-ISLAND; SOLAR-RADIATION;
   AIR-TEMPERATURE; TREE CANOPY; IMPACT; DESIGN; MODEL; DENSITY; CITY
AB High-resolution microclimate data is essential for capturing spatio-temporal heterogeneity of urban climate and heat health management. However, previous studies have relied on dense measurements that require significant costs for equipment, or on physical simulations demanding intensive computational loads. As a potential alternative to these methods, we propose a multimodal deep learning model to predict microclimate at a high spatial and temporal resolution based on street-level and satellite imagery. This model consists of LSTM and ResNet-18 architectures, and predicts air temperature (T), T ), relative humidity (RH), RH ), wind speed (v), v ), and global horizontal irradiance (GHI). GHI ). For our study area situated at a university campus in Singapore, we collected microclimate data, street-level and satellite imagery. We conducted extensive experiments with our collected dataset to showcase our model's predictive capabilities and its practical use in generating high-resolution microclimate maps. Our model reported RMSE at 0.95 degrees C for T , 2.57% for RH , 0.31 m/s for v , and 225 W/m2 2 for GHI. . Furthermore, we observed a contribution of imagery inputs to higher accuracy by comparing models with and without such inputs. We identified hot spots at a high spatio-temporal resolution, indicating its application for issuing real-time heat alerts. Our models are released openly at the microclimate-vision GitHub repository (https://github.com/kunifujiwara/microclimate-vision).
C1 [Fujiwara, Kunihiko; Yap, Winston; Ignatius, Marcel; Biljecki, Filip] Natl Univ Singapore, Dept Architecture, Singapore, Singapore.
   [Fujiwara, Kunihiko] Takenaka Corp, Res & Dev Inst, Chiba, Japan.
   [Khomiakov, Maxim] Tech Univ Denmark, Dept Appl Math & Comp Sci, Lyngby, Denmark.
   [Biljecki, Filip] Natl Univ Singapore, Dept Real Estate, Singapore, Singapore.
C3 National University of Singapore; Takenaka Corporation; Technical
   University of Denmark; National University of Singapore
RP Biljecki, F (corresponding author), Natl Univ Singapore, Dept Architecture, Singapore, Singapore.
EM kunihiko@nus.edu.sg; maxk@dtu.dk; winstonyym@u.nus.edu;
   m.ignatius@nus.edu.sg; filip@nus.edu.sg
RI Ignatius, Marcel/AFT-7940-2022; Biljecki, Filip/B-9829-2013; Yap,
   Winston/HDM-1483-2022
OI Ignatius, Marcel/0000-0001-8756-6784; Fujiwara,
   Kunihiko/0000-0002-8044-8838; Khomiakov, Maxim/0000-0002-7266-9673
FU Takenaka Corporation; Large-scale 3D Geospatial Data for Urban Analytics
   by the National University of Singapore under the Start Up Grant;
   Multi-scale Digital Twins the Urban Environment: From Heartbeats to
   Cities by the Singapore Ministry of Education Academic Research Fund 1;
   NUS Resilience and Growth Postdoctoral Fellowship - Cities and Urban
   Analytics, by the National Research Foundation (NRF) , Singapore;
   Development of a Multiscale Microclimate Model for NUS Campus Thermal
   Environment by NUS; Singapore International ate Award (SINGA)
   scholarship by the Agency for Science, Technology, and Research
   (A*STAR); NUS
FX We gratefully acknowledge the comments by the editor and viewers. We
   express our gratitude to the members of the NUS Analytics Lab for the
   valuable discussions. Special thanks go to Yu and Liang Xiucheng for
   their insightful advice on coding the prediction models and writing.
   This research has been supported by Takenaka Corporation and is part of
   the projects (i) Large-scale 3D Geospatial Data for Urban Analytics,
   which is supported by the National University of Singapore under the
   Start Up Grant; (ii) Multi-scale Digital Twins the Urban Environment:
   From Heartbeats to Cities, which is supported by the Singapore Ministry
   of Education Academic Research Fund 1; (iii) NUS Resilience and Growth
   Postdoctoral Fellowship - Cities and Urban Analytics, which is funded by
   the National Research Foundation (NRF), Singapore; (iv) Development of a
   Multiscale Microclimate Model for NUS Campus Thermal Environment (funded
   by NUS). We would like to thank the Singapore International ate Award
   (SINGA) scholarship provided by the Agency for Science, Technology, and
   Research (A*STAR) and the NUS.
CR Alonso L, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12152434
   Amirkolaee HA, 2019, ISPRS J PHOTOGRAMM, V149, P50, DOI 10.1016/j.isprsjprs.2019.01.013
   Ao Y., 2019, INT ARCH PHOTOGRAMM, VXLII-2/W13, P13, DOI [10.5194/isprs-archives-xlii-2-w13-13-2019, DOI 10.5194/ISPRS-ARCHIVES-XLII-2-W13-13-2019]
   Arellana J, 2020, TRANSPORT RES A-POL, V139, P310, DOI 10.1016/j.tra.2020.07.010
   Asawa T, 2020, BOUND-LAY METEOROL, V175, P417, DOI 10.1007/s10546-020-00507-y
   Azegami Y, 2023, BUILD ENVIRON, V235, DOI 10.1016/j.buildenv.2023.110250
   Bachir N, 2021, URBAN CLIM, V39, DOI 10.1016/j.uclim.2021.100976
   Beck HE, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.214
   Beloiu M, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15051463
   Berry R, 2013, BUILD ENVIRON, V69, P91, DOI 10.1016/j.buildenv.2013.07.009
   Biljecki F, 2023, INT J APPL EARTH OBS, V122, DOI 10.1016/j.jag.2023.103385
   Biljecki F, 2021, LANDSCAPE URBAN PLAN, V215, DOI 10.1016/j.landurbplan.2021.104217
   Bode CA, 2014, REMOTE SENS ENVIRON, V154, P387, DOI 10.1016/j.rse.2014.01.028
   Bouketta S, 2020, RENEW ENERG, V146, P1062, DOI 10.1016/j.renene.2019.07.012
   Bourbia F, 2010, RENEW ENERG, V35, P343, DOI 10.1016/j.renene.2009.07.017
   Buo I, 2023, SUSTAIN CITIES SOC, V93, DOI 10.1016/j.scs.2023.104499
   Cai Y, 2022, AGR FOREST METEOROL, V316, DOI 10.1016/j.agrformet.2022.108850
   Cardinali M, 2020, SUSTAIN CITIES SOC, V53, DOI 10.1016/j.scs.2019.101964
   Chafer M, 2022, SUSTAIN CITIES SOC, V83, DOI 10.1016/j.scs.2022.103986
   Chatzidimitriou A, 2015, ENERG BUILDINGS, V108, P156, DOI 10.1016/j.enbuild.2015.08.048
   Chaudhuri D, 2016, IEEE J-STARS, V9, P1767, DOI 10.1109/JSTARS.2015.2425655
   CHEN J, 1984, BOUND-LAY METEOROL, V28, P213, DOI 10.1007/BF00121305
   Chen SS, 2022, BUILD ENVIRON, V208, DOI 10.1016/j.buildenv.2021.108591
   Cheung PK, 2021, APPL GEOGR, V129, DOI 10.1016/j.apgeog.2021.102439
   Choi K, 2022, ISPRS J PHOTOGRAMM, V190, P165, DOI 10.1016/j.isprsjprs.2022.06.004
   Cilek A, 2024, SUSTAIN CITIES SOC, V101, DOI 10.1016/j.scs.2023.105116
   Coutts AM, 2013, PROG PHYS GEOG, V37, P2, DOI 10.1177/0309133312461032
   de Abreu-Harbicha LV, 2015, LANDSCAPE URBAN PLAN, V138, P99, DOI 10.1016/j.landurbplan.2015.02.008
   Deng MY, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103289
   Deng TH, 2021, J MANAGE SCI ENG, V6, P125, DOI 10.1016/j.jmse.2021.03.003
   Dougherty TR, 2023, SUSTAIN CITIES SOC, V90, DOI 10.1016/j.scs.2022.104364
   Duhl TR, 2012, J LAND USE SCI, V7, P311, DOI 10.1080/1747423X.2011.587207
   Ellis EA, 2019, COMPUT ENVIRON URBAN, V73, P85, DOI 10.1016/j.compenvurbsys.2018.08.006
   Elqattan AA, 2021, SUSTAIN CITIES SOC, V64, DOI 10.1016/j.scs.2020.102554
   Emanuel K.A., 1986, MESOSCALE METEOROLOG, P1, DOI 10.1007/978-1-935704-20-1
   Fei F, 2024, SUSTAIN CITIES SOC, V112, DOI 10.1016/j.scs.2024.105597
   Fu JC, 2022, SUSTAIN CITIES SOC, V80, DOI 10.1016/j.scs.2022.103781
   Fujiwara K, 2022, AIJ Journal of Technology and Design, V28, P320
   Fujiwara K., 2020, SCI TOTAL ENVIRON, V85, P475, DOI [10.3130/aije.85.475, DOI 10.3130/AIJE.85.475]
   Furusawa T, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-35330-1
   Gao YJ, 2023, SUSTAIN CITIES SOC, V91, DOI 10.1016/j.scs.2023.104443
   Gaspari J, 2017, ENRGY PROCED, V111, P510, DOI 10.1016/j.egypro.2017.03.212
   Gaudio N, 2017, AGR FOREST METEOROL, V237, P71, DOI 10.1016/j.agrformet.2017.02.010
   Gong FY, 2019, BUILD ENVIRON, V148, P547, DOI 10.1016/j.buildenv.2018.10.025
   Gong Y, 2024, Sustainable Cities and Society, V101
   Guzder-Williams B, 2023, COMPUT ENVIRON URBAN, V100, DOI 10.1016/j.compenvurbsys.2022.101917
   Haeri T, 2023, URBAN CLIM, V52, DOI 10.1016/j.uclim.2023.101719
   Hamaguchi R, 2018, IEEE COMPUT SOC CONF, P223, DOI 10.1109/CVPRW.2018.00041
   Hamdan DMA, 2019, ENERG BUILDINGS, V200, P86, DOI 10.1016/j.enbuild.2019.07.028
   Han JT, 2024, BUILD ENVIRON, V253, DOI 10.1016/j.buildenv.2024.111358
   He H, 2020, URBAN FOR URBAN GREE, V55, DOI 10.1016/j.ufug.2020.126789
   He KM, 2016, PROC CVPR IEEE, P770, DOI 10.1109/CVPR.2016.90
   He Y, 2017, ENERG BUILDINGS, V148, P142, DOI 10.1016/j.enbuild.2017.03.014
   HEISLER GM, 1986, URBAN ECOL, V9, P337, DOI 10.1016/0304-4009(86)90008-2
   Heusinkveld BG, 2014, J GEOPHYS RES-ATMOS, V119, P677, DOI 10.1002/2012JD019399
   Hong C., 2023, City and Built Environment, V1, P4, DOI [10.1007/s44213-022-00004-7, DOI 10.1007/S44213-022-00004-7]
   Hosseini M, 2022, SUSTAIN CITIES SOC, V79, DOI 10.1016/j.scs.2021.103630
   Hou YJ, 2022, INT J APPL EARTH OBS, V115, DOI 10.1016/j.jag.2022.103094
   Hu CB, 2020, BUILD ENVIRON, V167, DOI 10.1016/j.buildenv.2019.106424
   Huang LM, 2008, BUILD ENVIRON, V43, P7, DOI 10.1016/j.buildenv.2006.11.025
   Huang YJ, 2023, COMPUT ENVIRON URBAN, V106, DOI 10.1016/j.compenvurbsys.2023.102043
   Ignatius M., 2024, ISPRS TC 4 WG IV9 BR, VX-4-W5-2024, P195
   Ito K, 2021, TRANSPORT RES C-EMER, V132, DOI 10.1016/j.trc.2021.103371
   Iwashita H, 2019, J WIND ENG IND AEROD, V184, P153, DOI 10.1016/j.jweia.2018.10.007
   Jia SJ, 2017, CHIN AUTOM CONGR, P4165, DOI 10.1109/CAC.2017.8243510
   Jiang F, 2022, SUSTAIN CITIES SOC, V78, DOI 10.1016/j.scs.2021.103645
   Jin H, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10010206
   Jusuf SK, 2014, BUILD ENVIRON, V80, P48, DOI 10.1016/j.buildenv.2014.05.015
   Kemppinen J, 2024, GLOBAL ECOL BIOGEOGR, V33, DOI 10.1111/geb.13834
   Ki D, 2021, LANDSCAPE URBAN PLAN, V205, DOI 10.1016/j.landurbplan.2020.103920
   Kim JH, 2021, COMPUT ENVIRON URBAN, V88, DOI 10.1016/j.compenvurbsys.2021.101626
   Kim JY, 2023, SUSTAIN CITIES SOC, V97, DOI 10.1016/j.scs.2023.104762
   Kim SN, 2022, LANDSCAPE URBAN PLAN, V218, DOI 10.1016/j.landurbplan.2021.104290
   Kim YJ, 2021, BUILD ENVIRON, V205, DOI 10.1016/j.buildenv.2021.108244
   Kiyono T., 2022, AIJ Journal of Technology and Design, V28, P521
   Konarska J, 2014, THEOR APPL CLIMATOL, V117, P363, DOI 10.1007/s00704-013-1000-3
   Kotharkar R, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103487
   Kousis I, 2022, RENEW SUST ENERG REV, V169, DOI 10.1016/j.rser.2022.112847
   Kousis I, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-88344-y
   Krayenhoff ES, 2010, J APPL METEOROL CLIM, V49, P1634, DOI 10.1175/2010JAMC2356.1
   Kruse J, 2021, COMPUT ENVIRON URBAN, V90, DOI 10.1016/j.compenvurbsys.2021.101693
   Kubota T, 2008, BUILD ENVIRON, V43, P1699, DOI 10.1016/j.buildenv.2007.10.015
   Kumar P, 2020, SUSTAIN CITIES SOC, V61, DOI 10.1016/j.scs.2020.102297
   KUULUVAINEN T, 1989, ECOL MODEL, V49, P89, DOI 10.1016/0304-3800(89)90045-8
   Lai X, 2019, PHYS CHEM EARTH, V110, P117, DOI 10.1016/j.pce.2018.08.003
   Lehtola VV, 2022, INT J APPL EARTH OBS, V114, DOI 10.1016/j.jag.2022.102915
   Lei BY, 2023, AUTOMAT CONSTR, V147, DOI 10.1016/j.autcon.2022.104716
   Lei Y, 2024, SUSTAIN CITIES SOC, V100, DOI 10.1016/j.scs.2023.105023
   Leon LFA, 2019, GEOJOURNAL, V84, P395, DOI 10.1007/s10708-018-9865-4
   Li XJ, 2015, URBAN FOR URBAN GREE, V14, P675, DOI 10.1016/j.ufug.2015.06.006
   Li YL, 2023, BUILD ENVIRON, V236, DOI 10.1016/j.buildenv.2023.110225
   Liang JM, 2020, BUILD ENVIRON, V168, DOI 10.1016/j.buildenv.2019.106475
   Liang XC, 2023, LANDSCAPE URBAN PLAN, V237, DOI 10.1016/j.landurbplan.2023.104802
   Lin Q, 2023, BUILD ENVIRON, V243, DOI 10.1016/j.buildenv.2023.110680
   Liu DW, 2023, COMPUT ENVIRON URBAN, V100, DOI 10.1016/j.compenvurbsys.2022.101924
   Liu YH, 2020, URBAN CLIM, V34, DOI 10.1016/j.uclim.2020.100703
   Liu Y, 2022, SUSTAIN CITIES SOC, V85, DOI 10.1016/j.scs.2022.104081
   Liu YW, 2022, INT J INTELL SYST, V37, P135, DOI 10.1002/int.22620
   Liu ZX, 2022, BUILD ENVIRON, V222, DOI 10.1016/j.buildenv.2022.109411
   Maclean IMD, 2021, METHODS ECOL EVOL, V12, P1397, DOI 10.1111/2041-210X.13627
   Matsuda K, 2018, J WIND ENG IND AEROD, V173, P53, DOI 10.1016/j.jweia.2017.11.015
   Meng Y, 2020, COMPUT ENVIRON URBAN, V84, DOI 10.1016/j.compenvurbsys.2020.101544
   Middel A, 2015, URBAN FOR URBAN GREE, V14, P178, DOI 10.1016/j.ufug.2014.09.010
   Middel A, 2014, LANDSCAPE URBAN PLAN, V122, P16, DOI 10.1016/j.landurbplan.2013.11.004
   Mikolajczyk Agnieszka, 2018, 2018 International Interdisciplinary PhD Workshop (IIPhDW), P117, DOI 10.1109/IIPHDW.2018.8388338
   Mughal MO, 2021, URBAN CLIM, V39, DOI 10.1016/j.uclim.2021.100939
   Mukonza SS, 2022, WATER-SUI, V14, DOI 10.3390/w14182935
   MURAKAMI S, 1979, J IND AERODYNAM, V4, P343, DOI 10.1016/0167-6105(79)90012-6
   Ng E, 2011, LANDSCAPE URBAN PLAN, V101, P59, DOI 10.1016/j.landurbplan.2011.01.004
   Nyelele C, 2021, LANDSCAPE URBAN PLAN, V214, DOI 10.1016/j.landurbplan.2021.104172
   OKE TR, 1982, Q J ROY METEOR SOC, V108, P1, DOI 10.1002/qj.49710845502
   ORLANSKI I, 1975, B AM METEOROL SOC, V56, P527
   Oshio H, 2023, J GEOPHYS RES-ATMOS, V128, DOI 10.1029/2023JD038612
   Pang HE, 2022, INT J APPL EARTH OBS, V112, DOI 10.1016/j.jag.2022.102859
   Park M, 2012, BUILD ENVIRON, V56, P38, DOI 10.1016/j.buildenv.2012.02.015
   Park YJ, 2021, COMPUT ENVIRON URBAN, V88, DOI 10.1016/j.compenvurbsys.2021.101655
   Pashchenko AF, 2022, IFAC PAPERSONLINE, V55, P479, DOI 10.1016/j.ifacol.2022.07.083
   Zari MP, 2022, NAT CLIM CHANGE, V12, P601, DOI 10.1038/s41558-022-01390-w
   Peng C, 2015, ENERG BUILDINGS, V89, P18, DOI 10.1016/j.enbuild.2014.12.023
   Peng L, 2018, BUILD ENVIRON, V138, P207, DOI 10.1016/j.buildenv.2018.04.037
   Peng YZ, 2022, ENERG BUILDINGS, V276, DOI 10.1016/j.enbuild.2022.112509
   Percival GC, 2023, URBAN FOR URBAN GREE, V86, DOI 10.1016/j.ufug.2023.128021
   Priya UK, 2021, BUILD ENVIRON, V205, DOI 10.1016/j.buildenv.2021.108190
   Qiu CP, 2019, ISPRS J PHOTOGRAMM, V154, P151, DOI 10.1016/j.isprsjprs.2019.05.004
   Raghu D, 2023, RESOUR CONSERV RECY, V198, DOI 10.1016/j.resconrec.2023.107140
   Rahman MA, 2018, SCI TOTAL ENVIRON, V633, P100, DOI 10.1016/j.scitotenv.2018.03.168
   Reyes-Riveros R, 2021, URBAN FOR URBAN GREE, V61, DOI 10.1016/j.ufug.2021.127105
   Ricci A, 2022, BUILD ENVIRON, V207, DOI 10.1016/j.buildenv.2021.108409
   Saadi I, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14010206
   Seiferling I, 2017, LANDSCAPE URBAN PLAN, V165, P93, DOI 10.1016/j.landurbplan.2017.05.010
   Sharmin T, 2017, SUSTAIN CITIES SOC, V34, P293, DOI 10.1016/j.scs.2017.07.006
   Shartova NV, 2023, CITIES, V141, DOI 10.1016/j.cities.2023.104469
   Shi Y, 2016, ARCHIT SCI REV, V59, P370, DOI 10.1080/00038628.2015.1105195
   Shiflett SA, 2017, SCI TOTAL ENVIRON, V579, P495, DOI 10.1016/j.scitotenv.2016.11.069
   Steyn DG., 1981, Clim Bull, V39, P1
   Sun HY, 2024, SUSTAIN CITIES SOC, V108, DOI 10.1016/j.scs.2024.105451
   Tabatabaei SS, 2023, BUILD ENVIRON, V243, DOI 10.1016/j.buildenv.2023.110701
   Taleghani M, 2019, SOL ENERGY, V182, P245, DOI 10.1016/j.solener.2019.02.062
   Timilsina S, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12183017
   Wang CF, 2021, AUTOMAT CONSTR, V132, DOI 10.1016/j.autcon.2021.103968
   Wang CC, 2024, SUSTAIN CITIES SOC, V103, DOI 10.1016/j.scs.2024.105260
   Wang JW, 2020, J WIND ENG IND AEROD, V205, DOI 10.1016/j.jweia.2020.104324
   Wang RY, 2019, COMPUT ENVIRON URBAN, V78, DOI 10.1016/j.compenvurbsys.2019.101386
   Wang W, 2021, RENEW ENERG, V179, P2016, DOI 10.1016/j.renene.2021.08.024
   Wang WJ, 2018, URBAN FOR URBAN GREE, V35, P211, DOI 10.1016/j.ufug.2018.09.008
   Wang XW, 2023, ENVIRON RES-INFRASTR, V3, DOI 10.1088/2634-4505/acef57
   Weinberger KR, 2018, ENVIRON INT, V116, P30, DOI 10.1016/j.envint.2018.03.028
   Wong N., 2012, ICSDC 2011 INTEGRATI, P81, DOI [10.1061/41204(426)11, DOI 10.1061/41204(426)11]
   Wu AN, 2021, LANDSCAPE URBAN PLAN, V214, DOI 10.1016/j.landurbplan.2021.104167
   Xia YX, 2021, URBAN CLIM, V40, DOI 10.1016/j.uclim.2021.100999
   Xiao J, 2022, BUILD ENVIRON, V212, DOI 10.1016/j.buildenv.2022.108813
   Xu F, 2023, ISPRS J PHOTOGRAMM, V202, P158, DOI 10.1016/j.isprsjprs.2023.06.001
   Xu HH, 2020, URBAN CLIM, V34, DOI 10.1016/j.uclim.2020.100671
   Xu L, 2022, SUSTAIN CITIES SOC, V80, DOI 10.1016/j.scs.2022.103775
   Xu YJ, 2024, SUSTAIN CITIES SOC, V107, DOI 10.1016/j.scs.2024.105468
   Xu Z, 2023, COMPUT-AIDED CIV INF, V38, P892, DOI 10.1111/mice.12930
   Yamamoto M, 2024, BUILD ENVIRON, V253, DOI 10.1016/j.buildenv.2024.111296
   Yan B, 2022, ENERG BUILDINGS, V260, DOI 10.1016/j.enbuild.2022.111921
   Yan YZ, 2022, ISPRS J PHOTOGRAMM, V192, P83, DOI 10.1016/j.isprsjprs.2022.08.006
   Yi W, 2016, AUTOMAT CONSTR, V62, P101, DOI 10.1016/j.autcon.2015.11.003
   Yu ZQ, 2020, SUSTAIN CITIES SOC, V61, DOI 10.1016/j.scs.2020.102200
   Yuan C, 2017, LANDSCAPE URBAN PLAN, V168, P84, DOI 10.1016/j.landurbplan.2017.09.029
   Yuan JH, 2021, URBAN CLIM, V38, DOI 10.1016/j.uclim.2021.100875
   Zeng LY, 2018, BUILD ENVIRON, V135, P74, DOI 10.1016/j.buildenv.2018.03.009
   Zhang J, 2020, ECOL ENG, V158, DOI 10.1016/j.ecoleng.2020.106027
   Zhang MX, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103227
   Zhang WY, 2024, URBAN FOR URBAN GREE, V93, DOI 10.1016/j.ufug.2024.128219
   Zhang Z, 2013, URBAN FOR URBAN GREE, V12, P323, DOI 10.1016/j.ufug.2013.03.010
   Zhao QS, 2018, URBAN FOR URBAN GREE, V32, P81, DOI 10.1016/j.ufug.2018.03.022
   Zhao TH, 2023, COMPUT ENVIRON URBAN, V99, DOI 10.1016/j.compenvurbsys.2022.101915
   Zhao XX, 2022, URBAN CLIM, V41, DOI 10.1016/j.uclim.2021.101007
   Zhong Z, 2020, AAAI CONF ARTIF INTE, V34, P13001
   Zhou H, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101605
   Zhou XL, 2022, SUSTAIN CITIES SOC, V82, DOI 10.1016/j.scs.2022.103922
NR 174
TC 1
Z9 1
U1 29
U2 29
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2210-6707
EI 2210-6715
J9 SUSTAIN CITIES SOC
JI Sust. Cities Soc.
PD NOV 1
PY 2024
VL 114
AR 105733
DI 10.1016/j.scs.2024.105733
EA AUG 2024
PG 17
WC Construction & Building Technology; Green & Sustainable Science &
   Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Science & Technology - Other Topics;
   Energy & Fuels
GA D7J7F
UT WOS:001297914800001
OA hybrid
DA 2025-01-10
ER

PT J
AU Bello, LO
   Awotide, BA
   Sakurai, T
AF Bello, Lateef Olalekan
   Awotide, Bola Amoke
   Sakurai, Takeshi
TI Climate change adaptation and smallholder farmers welfare: Empirical
   evidence from the Sahelian Region of West Africa
SO LAND USE POLICY
LA English
DT Article
DE Technology adoption; Climate-smart agricultural technologies (CSAT);
   Smallholder farmers; Staple crop; West Africa Sahel region
ID WATER CONSERVATION; ADOPTION; SOIL; TECHNOLOGIES; AGRICULTURE; EASTERN;
   IMPACT
AB Global climate change has threatened sustainable agricultural growth over the years, severely affecting food sufficiency and the livelihood of farmers. The Climate-Smart Agricultural Technologies (CSAT), as a form of adaptation, offer pathways for mitigating the negative effect of climate change on crop producers in developing countries. This study uses cross-country (Mali and Niger) cross-sectional data to examine the welfare (proxied by crop sales revenue and income) impact of multiple adoptions of CSAT on smallholder farm households. To control for potential endogeneity that leads to bias estimates, we employ the multinomial endogenous treatment effect (METE) model, complemented with the inverse probability weighted regression adjustment (IPWRA) for the analysis. The result reveals that household (education, location, and assets) and plot (plot size, plot topography, and soil fertility) characteristics, institutional factors (farmer-based organization, access to formal credit, and extension service) and crop disease shock significantly influence different combinations of CSAT adoption. The impact estimates show that adopting joint combinations of CSAT leads to higher crop sales revenue and income among the farmers in most cases. These findings suggest that the adoption of CSAT as a package should be encouraged and disseminated in the West Africa Sahel region. Moreover, some sociodemographic and institutional factors such as education, credit access, farmer-based organizations, and extension services could be strengthened for easy and rapid adoption of CSAT by smallholder farmers, which subsequently improves their economic welfare.
C1 [Bello, Lateef Olalekan; Sakurai, Takeshi] Univ Tokyo, Dept Global Agr Sci, Tokyo, Japan.
   [Awotide, Bola Amoke] Alliance Biodivers Int & CIAT, Bukavu, DEM REP CONGO.
C3 University of Tokyo
RP Bello, LO (corresponding author), Univ Tokyo, Dept Global Agr Sci, Tokyo, Japan.
EM latbellolamilekan@gmail.com
RI Bello, Lateef/ADG-2403-2022; Sakurai, Takeshi/AHC-0898-2022
OI Sakurai, Takeshi/0000-0002-9007-4147
FU Norwegian Embassy in Mali [MLI-17-0008]
FX The authors extend their gratitude to the International Institute of
   Tropical Agriculture for providing the dataset employed in this
   research. Furthermore, we acknowledge the financial support received
   from the Norwegian Embassy in Mali (Grant MLI-17-0008) , which sponsored
   the CSAT project, thereby facilitating the successful completion of this
   study.
CR Abdulai A, 2014, LAND ECON, V90, P26, DOI 10.3368/le.90.1.26
   Alwang J, 2019, AGR SYST, V172, P16, DOI 10.1016/j.agsy.2017.10.005
   Amadu FO, 2020, FOOD POLICY, V92, DOI 10.1016/j.foodpol.2020.101869
   Amadu FO, 2020, ECOL ECON, V167, DOI 10.1016/j.ecolecon.2019.106443
   Angrist J. D., 1999, HDB LABOR EC A, V3, Part A, P1277, DOI [https://doi.org/10.1016/S1573-4463(99)03004-7, DOI 10.1016/S1573-4463(99)03004-7]
   Angrist JD., 2014, MASTERINGMETRICS PAT
   [Anonymous], 2022, Crops and livestock products.
   [Anonymous], 2014, Africa Agriculture Status Report: Climate change and smallholder agriculture in Sub-Saharan Africa
   [Anonymous], 1962, DIFFUSION INNOVATION
   [Anonymous], 2017, Climate Change Risk in Syria: Country Risk Profile
   Awotide BA, 2022, AGRICULTURE-BASEL, V12, DOI 10.3390/agriculture12111853
   Bello LO, 2021, ECON INNOV NEW TECH, V30, P750, DOI 10.1080/10438599.2020.1776488
   Binswanger H.P., 1978, INDUCED INNOVATION T
   Cattaneo MD, 2010, J ECONOMETRICS, V155, P138, DOI 10.1016/j.jeconom.2009.09.023
   CCAFS, 2022, Summary Report 2017-2021, V179
   Danso-Abbeam G, 2018, TECHNOL SOC, V54, P10, DOI 10.1016/j.techsoc.2018.01.011
   Deb P, 2006, STATA J, V6, P246, DOI 10.1177/1536867X0600600206
   Di Falco S, 2013, LAND ECON, V89, P743, DOI 10.3368/le.89.4.743
   FISHBURN PC, 1968, MANAGE SCI, V14, P335, DOI 10.1287/mnsc.14.5.335
   Intergovernmental Panel on Climate Change (IPCC), 2023, Climate Change 2021The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel On Climate Change, DOI [10.1017/9781009325844.001, DOI 10.1017/9781009157940, 10.1017/9781009157896]
   Issahaku G, 2020, AUST J AGR RESOUR EC, V64, P396, DOI 10.1111/1467-8489.12357
   Janvry A. d, 2006, Progress in the modeling of rural households' behavior under market failures. Poverty, inequality and development
   Kassie M, 2015, LAND USE POLICY, V42, P400, DOI 10.1016/j.landusepol.2014.08.016
   Khan I, 2020, LAND USE POLICY, V91, DOI 10.1016/j.landusepol.2019.104395
   Khonje MG, 2018, AGR ECON-BLACKWELL, V49, P599, DOI 10.1111/agec.12445
   Kimathi SM, 2020, COGENT FOOD AGR, V7, DOI 10.1080/23311932.2020.1860185
   Kpadonou RAB, 2017, LAND USE POLICY, V61, P196, DOI 10.1016/j.landusepol.2016.10.050
   Lu WC, 2021, AGREKON, V60, P370, DOI 10.1080/03031853.2021.1992290
   Niang I, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1199
   Ojo TO, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2019.04.007
   Olayide O.E., 2020, ZEFDiscuss. Pap. Dev. Policy.
   Ouédraogo M, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11174710
   Sietz D, 2015, GLOBAL ENVIRON CHANG, V33, P131, DOI 10.1016/j.gloenvcha.2015.05.001
   Tabe-Ojong MP Jr, 2023, GLOBAL ENVIRON CHANG, V81, DOI 10.1016/j.gloenvcha.2023.102697
   Tesfaye K, 2018, CLIM RISK MANAG, V19, P106, DOI 10.1016/j.crm.2017.10.001
   Wooldridge JM, 2007, J ECONOMETRICS, V141, P1281, DOI 10.1016/j.jeconom.2007.02.002
   Zakari S, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14052847
   Zegeye MB, 2022, HELIYON, V8, DOI 10.1016/j.heliyon.2022.e09495
   Zhou X, 2016, SOCIOL METHOD RES, V45, P3, DOI 10.1177/0049124114555199
NR 39
TC 1
Z9 1
U1 9
U2 11
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0264-8377
EI 1873-5754
J9 LAND USE POLICY
JI Land Use Pol.
PD JUL
PY 2024
VL 142
AR 107181
DI 10.1016/j.landusepol.2024.107181
EA APR 2024
PG 13
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA SO3Y9
UT WOS:001235366400001
OA hybrid
DA 2025-01-10
ER

PT J
AU Hernanz, A
   Correa, C
   Gercía-Valero, JA
   Domínguez, M
   Rodríguez-Guisado, E
   Rodríguez-Camino, E
AF Hernanz, Alfonso
   Correa, Carlos
   Gercia-Valero, Juan Andres
   Dominguez, Marta
   Rodriguez-Guisado, Esteban
   Rodriguez-Camino, Ernesto
TI pyClim-SDM: Service for generation of statistically downscaled climate
   change projections supporting national adaptation strategies
SO CLIMATE SERVICES
LA English
DT Article
DE Statistical downscaling; Climate service; Climate projections; Graphical
   user interface; Software
ID EARTH SYSTEM MODEL; DAILY PRECIPITATION; VERSION; TEMPERATURE;
   SIMULATION
AB The climate change impact and adaptation communities need future scenarios with sufficient high resolution, which are frequently achieved by applying Statistical Downscaling Models (SDMs) over global climate models. A large variety of SDMs exists, and some can be more suitable than others for each specific purpose. For this reason, it is important to develop tools to facilitate the evaluation and generation of downscaled scenarios following different approaches. In this paper we present a service, 'pyClim-SDM', which allows users to generate and evaluate their own downscaled scenarios with a very simple and user-friendly graphical interface. This tool includes a large collection of state-of-the-art methods belonging to different families to downscale daily data of the following surface variables: temperature, precipitation, wind, relative humidity and cloud coverage. Additionally, the software is prepared to be applied over any other user-defined target variable. Thus, multivariable indexes can be tackled as target variables themselves, instead of being calculated from the downscaled primary variables. With this possibility, potential intervariable inconsistencies are avoided. An application example for a Fire Weather Index, dependent on temperature, wind, humidity and precipitation, is shown. The service here presented-mainly based on a new downscaling software and a user-friendly graphical interface-is an essential piece for evaluating and generating high-resolution projection data within the Spanish national climate change adaptation strategy which includes, among other elements, a common database for all sectors, viewer and data distribution portal, etc.
C1 [Hernanz, Alfonso; Correa, Carlos; Dominguez, Marta; Rodriguez-Guisado, Esteban; Rodriguez-Camino, Ernesto] Spanish Meteorol Agcy AEMET, Madrid 28040, Spain.
   [Gercia-Valero, Juan Andres] AEMET, Murcia 30107, Spain.
C3 Agencia Estatal de Meteorologia (AEMET); Agencia Estatal de Meteorologia
   (AEMET)
RP Hernanz, A (corresponding author), Spanish Meteorol Agcy AEMET, Madrid 28040, Spain.
EM ahernanzl@aemet.es
OI Hernanz, Alfonso/0000-0003-1091-0422; Rodriguez-Camino,
   Ernesto/0000-0002-1565-2373
FU CMIP6; ESGF
FX We acknowledge the World Climate Research Programme which, through its
   Working Group on Coupled Modeling, coordinated and promoted CMIP6. We
   thank the climate modeling groups (listed in Table 1 of this paper) for
   producing and making available their model output, the Earth System Grid
   Federation (ESGF) for archiving the data and providing access, and the
   multiple funding agencies who support CMIP6 and ESGF. A special
   gratitude goes to Eduardo Petisco de Lara, Pilar Amblar Frances, Maria
   Asuncion Pastor Saavedra and Petra Ramos Calzado for their previous
   developments in the analog and regression downscaling methods. Finally,
   we would like to thank Carlos Santos Burguete, Xavier Calbet and Jose
   Luis Casado Rubio for their efforts to strengthen the developers
   community inside AEMET. And we also acknowledge two anonymous reviewers,
   whose constructive comments have helped improve the quality and clarity
   of the manuscript.
CR Amblar-Francés MP, 2020, ADV SCI RES, V17, P191, DOI 10.5194/asr-17-191-2020
   AmblarFrances P., 2017, Guia de escenarios regionalizados de cambio climatico sobre Espana a partir de los resultados del IPCC-AR5
   Bedia J, 2020, GEOSCI MODEL DEV, V13, P1711, DOI 10.5194/gmd-13-1711-2020
   Benestad R. E., 2007, Tech. Rep
   Benestad R.E., 2021, Geoscientific Model Development Discussions, DOI [10.5194/gmd-2021-176, DOI 10.5194/GMD-2021-176]
   Boser B. E., 1992, Proceedings of the Fifth Annual ACM Workshop on Computational Learning Theory, P144, DOI 10.1145/130385.130401
   Breiman L, 2001, MACH LEARN, V45, P5, DOI 10.1023/A:1010933404324
   Cannon AJ, 2015, J CLIMATE, V28, P6938, DOI 10.1175/JCLI-D-14-00754.1
   Charles SP, 2004, HYDROL PROCESS, V18, P1373, DOI 10.1002/hyp.1418
   Chen TQ, 2016, KDD'16: PROCEEDINGS OF THE 22ND ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, P785, DOI 10.1145/2939672.2939785
   CORTES C, 1995, MACH LEARN, V20, P273, DOI 10.1007/BF00994018
   Döscher R, 2022, GEOSCI MODEL DEV, V15, P2973, DOI 10.5194/gmd-15-2973-2022
   Drucker H, 1997, ADV NEUR IN, V9, P155
   Erlandsen HB, 2020, J APPL METEOROL CLIM, V59, P1793, DOI 10.1175/JAMC-D-20-0013.1
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   Garcia-Valero J.A., 2021, Redes neuronales artificiales. Aplicacion a la regionalizacion de la precipitacion y temperaturas diarias
   Gu JX, 2018, PATTERN RECOGN, V77, P354, DOI 10.1016/j.patcog.2017.10.013
   Gutiérrez JM, 2019, INT J CLIMATOL, V39, P3750, DOI 10.1002/joc.5462
   Hernanz A, 2022, ATMOS SCI LETT, V23, DOI 10.1002/asl.1087
   Hernanz A, 2022, INT J CLIMATOL, V42, P6793, DOI 10.1002/joc.7611
   Hernanz A, 2022, INT J CLIMATOL, V42, P3987, DOI 10.1002/joc.7464
   Hernanz A, 2022, INT J CLIMATOL, V42, P762, DOI 10.1002/joc.7271
   Hersbach H, 2020, Q J ROY METEOR SOC, V146, P1999, DOI 10.1002/qj.3803
   Hertig E, 2019, INT J CLIMATOL, V39, P3846, DOI 10.1002/joc.5469
   LORENZ EN, 1969, J ATMOS SCI, V26, P636, DOI 10.1175/1520-0469(1969)26<636:APARBN>2.0.CO;2
   Maraun D., 2017, Statistical downscaling and bias correction for climate research. Statistical downscaling and bias correction for climate research, DOI DOI 10.1017/9781107588783
   Maraun D, 2019, INT J CLIMATOL, V39, P3786, DOI 10.1002/joc.5222
   Maraun D, 2017, NAT CLIM CHANGE, V7, P764, DOI 10.1038/NCLIMATE3418
   Maraun D, 2016, CURR CLIM CHANGE REP, V2, P211, DOI 10.1007/s40641-016-0050-x
   Maraun D, 2015, EARTHS FUTURE, V3, P1, DOI 10.1002/2014EF000259
   McCulloch WS, 2016, EMBODIMENTS OF MIND, P19
   Müller WA, 2018, J ADV MODEL EARTH SY, V10, P1383, DOI 10.1029/2017MS001217
   Petisco de Lara S.E., 2008, Metodo de regionalizacion de precipitacion basado en analogos. Explicacion y Validacion. AEMET Nota Tecnica 3A, Area de Evaluacion y Modelizacion del Cambio Climatico
   Ribalaygua J, 2018, THEOR APPL CLIMATOL, V132, P867, DOI 10.1007/s00704-017-2130-9
   RICHARDSON CW, 1981, WATER RESOUR RES, V17, P182, DOI 10.1029/WR017i001p00182
   ROSENBLATT F, 1958, PSYCHOL REV, V65, P386, DOI 10.1037/h0042519
   Sailor DJ, 1999, J CLIMATE, V12, P103, DOI 10.1175/1520-0442-12.1.103
   Schoof JT, 2013, GEOGR COMPASS, V7, P249, DOI 10.1111/gec3.12036
   Suykens JAK, 1999, NEURAL PROCESS LETT, V9, P293, DOI 10.1023/A:1018628609742
   Swart NC, 2019, GEOSCI MODEL DEV, V12, P4823, DOI 10.5194/gmd-12-4823-2019
   Themessl MJ, 2011, INT J CLIMATOL, V31, P1530, DOI 10.1002/joc.2168
   Trzaska S, 2014, REV DOWNSCALING METH
   UNFCCC, 2016, UNFCCC COP Report Number 21, Addenum, At 21
   Van Wagner C. E., 1987, 35 CAN FOR SERV
   Vapnik V. N., 1998, The nature of statistical learning theory
   Volodin EM, 2017, IZV ATMOS OCEAN PHY+, V53, P142, DOI 10.1134/S0001433817020128
   Widmann M, 2019, INT J CLIMATOL, V39, P3819, DOI 10.1002/joc.6024
   Wilby R. L., 2002, Environmental Modelling & Software, V17, P147, DOI 10.1016/S1364-8152(01)00060-3
   Wilks DS, 1999, PROG PHYS GEOG, V23, P329, DOI 10.1177/030913339902300302
   Yoo AB, 2003, LECT NOTES COMPUT SC, V2862, P44
   Yukimoto S, 2019, J METEOROL SOC JPN, V97, P931, DOI 10.2151/jmsj.2019-051
   Zorita E, 1999, J CLIMATE, V12, P2474, DOI 10.1175/1520-0442(1999)012<2474:TAMAAS>2.0.CO;2
NR 52
TC 1
Z9 1
U1 1
U2 4
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2405-8807
J9 CLIM SERV
JI Clim. Serv.
PD DEC
PY 2023
VL 32
AR 100408
DI 10.1016/j.cliser.2023.100408
EA SEP 2023
PG 13
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA GA0S2
UT WOS:001149826000001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Lansing, JS
   Kremer, JN
   Suryawan, IBG
   Sathiakumar, S
   Jacobs, GS
   Chung, NN
   Artha Wiguna, IWA
AF Lansing, J. S.
   Kremer, J. N.
   Suryawan, I. B. G.
   Sathiakumar, S.
   Jacobs, G. S.
   Chung, N. N.
   Artha Wiguna, I. Wy A.
TI Adaptive irrigation management by Balinese farmers reduces greenhouse
   gas emissions and increases rice yields
SO PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
LA English
DT Article
DE rice; Bali; commons; climate; greenhouse gases
ID SYSTEMS
AB The potential for changes in water management regimes to reduce greenhouse gases (GHG) in rice paddies has recently become a major topic of research in Asia, with implications for top-down versus bottom-up management strategies. Flooded rice paddies are a major source of anthropogenic GHG emissions and are responsible for approximately 11% of global anthropogenic methane (CH4) emissions. However, rice is also the most important food crop for people in low- and lower-middle-income countries. While CH4 emissions can be reduced by lessening the time the plants are submerged, this can trigger increased emissions of nitrous oxide (N2O), a more potent GHG. Mitigation options for CH4 and N2O are different, and minimizing one gas may increase the emission of the other. Accurate measurement of these gas emissions in rice paddies is difficult, and the results are controversial. We analysed these trade-offs using continuous high-precision measurements in a closed chamber in 2018-2020. Based on the results, we tested a bottom-up adaptive irrigation regime that improves nitrogen uptake by rice plants while reducing combined GHG emissions and nitrogen runoff from paddies to reefs in agricultural drainages. In 2023, we undertook a follow-up study in which farmers obtained higher rice yields with adaptive intermittent irrigation compared to uniformly flooded fields. These results use the polycentric, self-governing capacity of Balinese subaks for continuous adaptation. This article is part of the theme issue 'Climate change adaptation needs a science of culture'.
C1 [Lansing, J. S.] Santa Fe Inst, 1399 Hyde Pk Rd, Santa Fe, NM 87501 USA.
   [Lansing, J. S.] Complex Sci Hub, A-1080 Vienna, Austria.
   [Kremer, J. N.] Univ Connecticut, Groton, CT 06340 USA.
   [Suryawan, I. B. G.; Artha Wiguna, I. Wy A.] Balai Pengkajian Teknol Pertanian Bali, Jl Pass Ngurah Rai, Denpasar Selatan 80222, Indonesia.
   [Sathiakumar, S.] Univ Southern Calif, Dept Earth Sci, Los Angeles, CA 90089 USA.
   [Sathiakumar, S.] Nanyang Technol Univ, Earth Observ Singapore, Singapore 639758, Singapore.
   [Jacobs, G. S.] Univ Cambridge, Dept Archaeol, Downing St, Cambridge CB23DZ, England.
   [Chung, N. N.] Singapore Univ Social Sci, Singapore 599494, Singapore.
C3 The Santa Fe Institute; University of Connecticut; University of
   Southern California; Nanyang Technological University; University of
   Cambridge; Singapore University of Social Sciences (SUSS)
RP Lansing, JS (corresponding author), Santa Fe Inst, 1399 Hyde Pk Rd, Santa Fe, NM 87501 USA.; Lansing, JS (corresponding author), Complex Sci Hub, A-1080 Vienna, Austria.
EM lansing@santafe.edu
RI Chung, Ning Ning/F-4019-2011
OI Chung, Ning Ning/0000-0002-4563-183X
CR Carrijo DR, 2017, FIELD CROP RES, V203, P173, DOI 10.1016/j.fcr.2016.12.002
   Fleck D., 2013, Picarro Appl. Note AN034, V10
   Jiang Y, 2019, FIELD CROP RES, V234, P47, DOI 10.1016/j.fcr.2019.02.010
   Kritee K, 2019, P NATL ACAD SCI USA, V116, P1466, DOI 10.1073/pnas.1819676116
   Kritee K, 2018, P NATL ACAD SCI USA, V115, P9720, DOI 10.1073/pnas.1809276115
   LaHue GT, 2016, AGR ECOSYST ENVIRON, V229, P30, DOI 10.1016/j.agee.2016.05.020
   Lansing J.S., 2007, Priests and Programmers: Technologies of Power in the Engineered Landscape of Bali, V2nd
   Lansing JS, 2021, INT J COMMONS, V15, P414, DOI 10.5334/ijc.1118
   Lansing JS, 2006, PRINC STUD COMPLEX, P1
   Lansing JS, 2001, ECOL ECON, V38, P383, DOI 10.1016/S0921-8009(01)00173-2
   Lansing JS., 2023, Figshare, DOI [10.6084/m9.figshare.c.6806502, DOI 10.6084/M9.FIGSHARE.C.6806502]
   MACHBUB B, 1988, ENVIRON MONIT ASSESS, V11, P1, DOI 10.1007/BF00394508
   Marion GS, 2005, MAR POLLUT BULL, V50, P931, DOI 10.1016/j.marpolbul.2005.04.001
   Pisor A, 2023, PHILOS T R SOC B, V378, DOI 10.1098/rstb.2022.0390
   USEPA, 2022, Understanding global warming potentials
   Wang XD, 2021, J ENVIRON MANAGE, V289, DOI 10.1016/j.jenvman.2021.112486
   Wassmann R, 2019, P NATL ACAD SCI USA, V116, P1464, DOI 10.1073/pnas.1817694116
   Windia W, 2017, INDIGENOUS KNOWLEDGE: ENHANCING ITS CONTRIBUTION TO NATURAL RESOURCES MANAGEMENT, P190, DOI 10.1079/9781780647050.0190
   Wu QG, 2022, J CLEAN PROD, V370, DOI 10.1016/j.jclepro.2022.133515
   Yan XY, 2018, P NATL ACAD SCI USA, V115, pE11204, DOI 10.1073/pnas.1816208115
   Zhou S, 2020, SOIL TILL RES, V200, DOI 10.1016/j.still.2020.104610
   Zou JW, 2005, GLOBAL BIOGEOCHEM CY, V19, DOI 10.1029/2004GB002401
NR 22
TC 4
Z9 4
U1 10
U2 30
PU ROYAL SOC
PI LONDON
PA 6-9 CARLTON HOUSE TERRACE, LONDON SW1Y 5AG, ENGLAND
SN 0962-8436
EI 1471-2970
J9 PHILOS T R SOC B
JI Philos. Trans. R. Soc. B-Biol. Sci.
PD SEP 18
PY 2023
VL 378
IS 1889
AR 20220400
DI 10.1098/rstb.2022.0400
PG 9
WC Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics
GA LA8L3
UT WOS:001184146600003
PM 37718599
OA Green Published
DA 2025-01-10
ER

PT J
AU Begg, SS
   N'Yeurt, AD
   Begg, S
AF Begg, Shereen Shabina
   N'Yeurt, Antoine De Ramon
   Begg, Shabnam
TI Interweaving resource management with indigenous knowledge to build
   community resilience in the Pacific Islands: case of the Waimanu
   Catchment in Viti Levu, Fiji
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Adaptive capacity; Community capitals; Indigenous knowledge; Integrated
   catchment management; Natural resources; Resilience
ID TRADITIONAL ECOLOGICAL KNOWLEDGE; CLIMATE-CHANGE ADAPTATION; SOLID-WASTE
   MANAGEMENT; COLLECTIVE ACTION; ECOSYSTEM SERVICES; ADAPTIVE CAPACITY;
   PROTECTED AREAS; SOCIAL-PROCESS; FOOD SECURITY; SOUTH-PACIFIC
AB This study uses a community-based assessment in conjunction with the integrated catchment management and community capitals frameworks to explore the iTaukei (indigenous Fijian) knowledge systems relative to the management of natural resources in the villages in the Waimanu Catchment. The iTaukei knowledge systems encompassing traditional beliefs, values, customs, and social relations within the villages were used to devise adaptive strategies to improve the physical, financial, human, cultural, social, and political capitals in order to enhance the natural capital in the Waimanu Catchment. Improving the health of local ecosystems would increase the adaptive capacity of the local communities, which would ultimately, make the communities resilient to the impacts of climate change and human activities. It is therefore, essential to implement an integrated management plan on a catchment scale which considers the interconnectedness between people and the ecosystems as well as the upstream-downstream connectivity since land use changes undertaken upstream affect the resilience of downstream communities. The study emphasized that the enrichment of human capital, social bonding, and collaboration among the internal and external stakeholders consisting of government, quasi-government and non-government organizations, industries and businesses, and landowners located both within and outside of the catchment served as the key principles to help achieve community resilience.
C1 [Begg, Shereen Shabina; N'Yeurt, Antoine De Ramon] Univ South Pacific USP, Pacific Ctr Environm & Sustainable Dev PaCE SD, Suva, Fiji.
RP Begg, SS (corresponding author), Univ South Pacific USP, Pacific Ctr Environm & Sustainable Dev PaCE SD, Suva, Fiji.
EM shereen.begg@gmail.com; antoine.nyeurt@usp.ac.fj; shabnambegg@gmail.com
RI De Ramon N'Yeurt, Antoine/AAY-3704-2020
FU Research Office at the University of the South Pacific
FX The authors express sincere gratitude to Mr. Manjoor Begg for his
   research assistance during the field work at the study sites. We would
   also like to acknowledge the Research Office at the University of the
   South Pacific for awarding the Pacific Scholarship for Excellence in
   Research and Innovation (PSERI) to Shereen Shabina Begg which helped to
   fund this study.
CR ADB WAF, 2016, 49001002 ADB WAF
   Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Adger WN, 2003, ECON GEOGR, V79, P387
   African Caribbean and Pacific-European Union (ACP-EU), 2018, BAS ASS DEV MIN FIJ
   Allen W, 2011, NEW ZEAL J MAR FRESH, V45, P525, DOI 10.1080/00288330.2011.592197
   Aswani S, 2007, CORAL REEFS, V26, P1009, DOI 10.1007/s00338-007-0277-z
   Aswani S, 2006, HUM ORGAN, V65, P81, DOI 10.17730/humo.65.1.4y2q0vhe4l30n0uj
   Atherton J, 2005, SFJ600 OESI
   Baines G. B. K., 1989, Common property resources. Ecology and community-based sustainable development., P273
   Barthel S, 2013, GLOBAL ENVIRON CHANG, V23, P1142, DOI 10.1016/j.gloenvcha.2013.05.001
   Begg SS, 2022, REG ENVIRON CHANGE, V22, DOI 10.1007/s10113-022-01961-9
   Begg SS, 2021, REG ENVIRON CHANGE, V21, DOI 10.1007/s10113-021-01824-9
   Berkes F, 2006, HUM ECOL, V34, P479, DOI 10.1007/s10745-006-9008-2
   BIERNACKI P, 1981, SOCIOL METHOD RES, V10, P141, DOI 10.1177/004912418101000205
   Cafer A, 2019, COMMUNITY DEV, V50, P201, DOI 10.1080/15575330.2019.1575442
   Campbell JR, 2015, REG ENVIRON CHANGE, V15, P1313, DOI 10.1007/s10113-014-0697-6
   Carpenter SR, 2009, P NATL ACAD SCI USA, V106, P1305, DOI 10.1073/pnas.0808772106
   Chand SS, 2014, WEATHER CLIM SOC, V6, P445, DOI 10.1175/WCAS-D-13-00053.1
   Charnley S, 2007, FOREST ECOL MANAG, V246, P14, DOI 10.1016/j.foreco.2007.03.047
   Chenet A, 2011, CORAL REEF INITIATIV
   Choy S, 1987, DIRECTIONS J ED STUD, VStudies9, P121
   Cinner JE, 2005, CONSERV BIOL, V19, P1714, DOI 10.1111/j.1523-1739.2005.00209.x-i1
   Clarke P, 2010, ENVIRON CONSERV, V37, P98, DOI 10.1017/S0376892910000354
   Clarke WC, 1997, CONTEMP PACIFIC, V9, P121
   Clarke WC, 1990, CONTEMP PACIFIC, V2, P233
   Conservation International, 2021, WAIM RIV CAT MAN INT
   Conservation International, 2021, REP EC GOODS SERV WA
   Conservation International, 2021, RAP RES ASS REP WAIM
   Conservation International Pacific Islands Program, 2013, BIODIVERS CONSERV
   Cornelio DL, 2020, INT ARCH PHOTOGRAMME, VSciences43, P539, DOI [10.5194/isprs-archives-XLIII-B4-2020-539-2020, DOI 10.5194/ISPRS-ARCHIVES-XLIII-B4-2020-539-2020]
   CULLEN P, 1990, FRESHWATER BIOL, V24, P201, DOI 10.1111/j.1365-2427.1990.tb00319.x
   Dahlke S, 2015, QUAL HEALTH RES, V25, P1117, DOI 10.1177/1049732315578636
   Delevaux JMS, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0193230
   Diemont SAW, 2011, FOREST ECOL MANAG, V261, P1696, DOI 10.1016/j.foreco.2010.11.006
   DOVERS SR, 1992, GLOBAL ENVIRON CHANG, V2, P262, DOI 10.1016/0959-3780(92)90044-8
   Dutra LXC, 2021, MAR POLLUT BULL, V164, DOI 10.1016/j.marpolbul.2020.111922
   Eaton WM, 2021, SOC NATUR RESOUR, V34, P1111, DOI 10.1080/08941920.2021.1936717
   Elkharboutly M, 2022, INT J DISAST RISK RE, V82, DOI 10.1016/j.ijdrr.2022.103301
   Emery M, 2006, COMMUNITY DEV, V37, P19, DOI 10.1080/15575330609490152
   Evans N, 2006, 21 IWP
   Falkenmark M, 2004, INT J WATER RESOUR D, V20, P297, DOI [10.1080/0790062042000248637, 10.1080/0790062042000248619]
   Fazey I, 2010, GLOBAL ENVIRON CHANG, V20, P713, DOI 10.1016/j.gloenvcha.2010.04.011
   Fenemor A, 2011, NEW ZEAL J MAR FRESH, V45, P313, DOI 10.1080/00288330.2011.593529
   Fey S., 2006, Development, V1, P1, DOI [DOI 10.4148/OJRRP.V1I1.29, 10.4148/ojrrp.v1i1.29]
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Forbes BC, 2009, P NATL ACAD SCI USA, V106, P22041, DOI 10.1073/pnas.0908286106
   Friedlander AM, 2018, MAR POLLUT BULL, V135, P139, DOI 10.1016/j.marpolbul.2018.05.064
   Gautam AP, 2005, SOC NATUR RESOUR, V18, P153, DOI 10.1080/08941920590894534
   GEF UNDP SOPAC UNEP, 2007, SUST INT WAT RES WAS
   Gorenflo LJ, 2012, P NATL ACAD SCI USA, V109, P8032, DOI 10.1073/pnas.1117511109
   Green D, 2010, CLIMATIC CHANGE, V100, P337, DOI 10.1007/s10584-010-9803-z
   Gutierrez-Montes I, 2009, COMMUNITY DEV, V40, P106, DOI 10.1080/15575330903011785
   Harrison S, 2016, ACIAR MONOGRAPH, P82
   Huitema D, 2009, ECOL SOC, V14
   Huntington HP, 2000, ECOL APPL, V10, P1270, DOI 10.1890/1051-0761(2000)010[1270:UTEKIS]2.0.CO;2
   Imam A, 2008, WASTE MANAGE, V28, P468, DOI 10.1016/j.wasman.2007.01.006
   IPCC, 2022, CLIMATE CHANGE 2022, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Janif SZ, 2016, ECOL SOC, V21, DOI 10.5751/ES-08100-210207
   Jenson B.B., 2002, ENVIRON EDUC RES, V8, P325, DOI [DOI 10.1080/13504620220145474, 10.1080/13504620220145474]
   Johnson AKL, 1996, LAND USE POLICY, V13, P303, DOI 10.1016/0264-8377(96)84559-5
   Jupiter S., 2012, Climate and Conservation, P155, DOI 10.5822/978-1-61091-203-7_13
   Jupiter Stacy D., 2014, Pacific Conservation Biology, V20, P165
   Keen M, 2006, SOC NATUR RESOUR, V19, P497, DOI 10.1080/08941920600663896
   Kellert SR, 2000, SOC NATUR RESOUR, V13, P705, DOI 10.1080/089419200750035575
   Kelman I, 2010, LOCAL ENVIRON, V15, P605, DOI 10.1080/13549839.2010.498812
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   KONDOLF GM, 1994, LANDSCAPE URBAN PLAN, V29, P185
   Lako J., 2019, J PAC STUD, V39, P192, DOI [10.33318/jpacs.2019.39(1)-08, DOI 10.33318/JPACS.2019.39(1)-08]
   Lane MB, 2008, MAR POLICY, V32, P856, DOI 10.1016/j.marpol.2007.12.008
   Lauer M, 2013, GLOBAL ENVIRON CHANG, V23, P40, DOI 10.1016/j.gloenvcha.2012.10.011
   Lefale PF, 2010, CLIMATIC CHANGE, V100, P317, DOI 10.1007/s10584-009-9722-z
   Leonard S, 2013, GLOBAL ENVIRON CHANG, V23, P623, DOI 10.1016/j.gloenvcha.2013.02.012
   Magis K, 2010, SOC NATUR RESOUR, V23, P401, DOI 10.1080/08941920903305674
   Maharjan A., 2017, ENV ECOL RES, V5, P489
   Marshall K, 2010, J ENVIRON PLANN MAN, V53, P63, DOI 10.1080/09640560903399780
   MARTINS O, 1992, BIORESOURCE TECHNOL, V42, P103, DOI 10.1016/0960-8524(92)90068-9
   Mataiciwa R, 2021, DISTORTED DELUSION S, DOI [10.13140/RG.2.2.36280.67842, DOI 10.13140/RG.2.2.36280.67842]
   McMillen HL, 2014, ECOL SOC, V19, DOI 10.5751/ES-06937-190444
   McNamara KE, 2014, CLIMATIC CHANGE, V123, P121, DOI 10.1007/s10584-013-1047-2
   McNaught R, 2014, REG ENVIRON CHANGE, V14, P1491, DOI 10.1007/s10113-014-0592-1
   Hidalgo DM, 2021, CLIM DEV, V13, P909, DOI 10.1080/17565529.2020.1867046
   Memon A, 2010, AUSTRALAS J ENV MAN, V17, P35, DOI 10.1080/14486563.2010.9725247
   MITCHELL B, 1993, ENVIRON MANAGE, V17, P735, DOI 10.1007/BF02393894
   Moller H, 2004, ECOL SOC, V9
   Morgan DL, 1996, ANNU REV SOCIOL, V22, P129, DOI 10.1146/annurev.soc.22.1.129
   Morrison R., 1990, J JAPAN SOC EROSION, V43, P52, DOI [10.11475/sabo1973.43.2_52, DOI 10.11475/SABO1973.43.2_52]
   Mróz A, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10124558
   Nakamura N, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01613-w
   Nath D, 2008, WAILA WATER SAFETY P
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Nunn P, 2018, INT J CLIM CHANG STR, V10, P245, DOI 10.1108/IJCCSM-01-2017-0012
   Nunn PD, 2016, CLIMATIC CHANGE, V136, P477, DOI 10.1007/s10584-016-1646-9
   Nunn PD, 2014, REG ENVIRON CHANGE, V14, P221, DOI 10.1007/s10113-013-0486-7
   Oldekop JA, 2016, CONSERV BIOL, V30, P133, DOI 10.1111/cobi.12568
   Olson D, 2010, ORYX, V44, P57, DOI 10.1017/S0030605309990688
   Oluyinka O, 2011, WASTE MANAGE, V31, P2601, DOI 10.1016/j.wasman.2011.08.014
   Ostrom E, 2009, SCIENCE, V325, P419, DOI 10.1126/science.1172133
   Pearson J, 2019, ECOSYST SERV, V38, DOI 10.1016/j.ecoser.2019.100970
   Pearson Jasmine., 2020, Managing Climate Change Adaptation in the Pacific Region, P105, DOI DOI 10.1007/978-3-030-40552-6_6
   Phillips C, 2010, MAR FRESHWATER RES, V61, P749, DOI 10.1071/MF09099
   Prato T, 2007, ECOL ECON, V63, P627, DOI 10.1016/j.ecolecon.2007.01.003
   Reed MS, 2008, BIOL CONSERV, V141, P2417, DOI 10.1016/j.biocon.2008.07.014
   Rist L, 2010, ECOL SOC, V15
   Rouillard JJ, 2014, LAND USE POLICY, V38, P637, DOI 10.1016/j.landusepol.2014.01.011
   Rouillard JJ, 2017, REG ENVIRON CHANGE, V17, P1869, DOI 10.1007/s10113-016-0988-1
   Rudd MA, 2000, ECOL ECON, V34, P131, DOI 10.1016/S0921-8009(00)00152-X
   Scoones I, 2009, J PEASANT STUD, V36, P171, DOI 10.1080/03066150902820503
   Sears PB., 1956, Man's Role in Changing the Face of the Earth, P471
   Sillitoe Paul., 2007, Local Science vs. Global Science: Approaches to Indigenous Knowledge in International Development
   SIWATIBAU S, 1984, AMBIO, V13, P365
   Song QB, 2016, PROCEDIA ENVIRON SCI, V31, P635, DOI 10.1016/j.proenv.2016.02.116
   SPC, 2012, CAT RIV PAC ISL
   Speranza CI, 2010, CLIMATIC CHANGE, V100, P295, DOI 10.1007/s10584-009-9713-0
   SPREP, 2014, FIJ STAT ENV REP 201
   Stone MT, 2018, J SUSTAIN TOUR, V26, P307, DOI 10.1080/09669582.2017.1349774
   Takasaki Y, 2011, J DEV STUD, V47, P1281, DOI 10.1080/00220388.2010.509786
   Taylor N, 2007, INT RES GEOGR ENVIRO, V16, P367, DOI 10.2167/irgee223.0
   Thaman R.R., 2006, TRADITIONAL TREES PA
   Thaman RR, 2013, TRACKING KEY TRENDS, P23
   Thaman RR, 2016, TUVALU NATL BIODIVER
   Thaman RR, 2000, 7 USP GEOGR
   Thulstrup AW, 2015, WORLD DEV, V74, P352, DOI 10.1016/j.worlddev.2015.05.019
   TLTB, 2018, LAND OWN FIJ
   Torgler B, 2012, ENVIRON VALUE, V21, P209, DOI 10.3197/096327112X13303670567378
   Tsonkova P, 2014, ECOL INDIC, V45, P285, DOI 10.1016/j.ecolind.2014.04.024
   Turner NJ, 2006, HUM ECOL, V34, P495, DOI 10.1007/s10745-006-9042-0
   Turner NJ, 2000, ECOL APPL, V10, P1275, DOI 10.2307/2641283
   Vanoh R, 2018, FINAL REPORT VETIVER
   Varea R, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.954062
   Veitayaki J, 2002, INT SOC SCI J, V54, P395, DOI 10.1111/1468-2451.00391
   Veitayaki J, 2004, Building bridges: The contribution of traditional knowledge to ecosystem management and practices in Fiji. Paper presented at Bridging Scales and Epistemologies: Linking Local Knowledge and Global Science in Multi-Scale Assessments, Alexandria
   Veitayaki J, 2018, OCEAN YEARB, V32, P376, DOI 10.1163/22116001-03201015
   Vunisea A, 2004, SPC Women in Fisheries Information Bulletin, V14
   Walker B, 2004, ECOL SOC, V9
   Warrick O, 2017, REG ENVIRON CHANGE, V17, P1039, DOI 10.1007/s10113-016-1036-x
   Weir T, 2017, REG ENVIRON CHANGE, V17, P1017, DOI 10.1007/s10113-016-1012-5
   Wendt Hans K., 2016, Pacific Conservation Biology, V22, P173, DOI 10.1071/PC16001
   WHITE GF, 1957, LAW CONTEMP PROBL, V22, P157, DOI 10.2307/1190252
   Williams T, 2013, CLIMATIC CHANGE, V120, P531, DOI 10.1007/s10584-013-0850-0
   WOLFE LP, 1953, PLANT SOIL, V4, P223, DOI 10.1007/BF01343838
   Wolz KJ, 2018, AGR ECOSYST ENVIRON, V252, P61, DOI 10.1016/j.agee.2017.10.005
   World Commission on Environment and Development, 1987, OUR COMMON FUTURE
   Yee M, 2022, FRONT CLIM, V4, DOI 10.3389/fclim.2022.1034765
NR 144
TC 2
Z9 3
U1 4
U2 23
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD SEP
PY 2023
VL 23
IS 3
AR 86
DI 10.1007/s10113-023-02079-2
PG 18
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA K6KH2
UT WOS:001017504600001
DA 2025-01-10
ER

PT J
AU Holmgren, M
   Groten, F
   Carracedo, MR
   Vink, S
   Limpens, J
AF Holmgren, Milena
   Groten, Finn
   Carracedo, Manuel Rodriguez
   Vink, Sverre
   Limpens, Juul
TI Rewilding Risks for Peatland Permafrost
SO ECOSYSTEMS
LA English
DT Article; Early Access
DE arctic; climate warming; climate change adaptation; herbivore;
   mitigation; nature-based solutions; reindeer; resilience; subarctic
ID REINDEER; TUNDRA; CARBON
AB Permafrost thaw is projected to reinforce climate warming by releasing large stocks of stored carbon. Rewilding northern high latitude regions with large herbivores has been proposed as a climate mitigation strategy to protect frozen soils and increase ecosystem resilience to climate warming. We explored the impact of summer reindeer density on subarctic peatlands by comparing 17 peatlands differing in reindeer density in Fennoscandia. We used a combination of high-resolution image analyses and field assessments along 50 transects to assess microtopography, surface water cover, vegetation, summer albedo, permafrost presence, soil temperature, soil nutrients and snow depth. Our results show that high summer reindeer densities fragment the characteristic bumpy topography of the peatlands, reducing the insulating soil properties and the probability of keeping permafrost in elevated hummocks. As a result, waterlogged lawns with surface water increase in size and reduce summer albedo. Furthermore, high reindeer density peatlands were associated with an increase in tall inedible shrubs and thicker snow layers. These changes may favor summer warming and reduce winter cooling of the soil thus accelerating permafrost loss. Our results suggest that high reindeer densities may reduce resilience of the peatland permafrost to climate warming. High densities of large herbivores will likely have different effects in well-drained uplands, but in the lowlands we studied, the complex cascading effects of summer trampling may well offset any climate-protection gained by browsing. Optimal use of wildlife management to mitigate global warming will thus require tuning herbivore densities to different ecosystem types across high northern landscapes.
C1 [Holmgren, Milena; Groten, Finn; Carracedo, Manuel Rodriguez; Vink, Sverre; Limpens, Juul] Wageningen Univ, Dept Environm Sci, Droevendaalsesteeg 3a, NL-6708 PB Wageningen, Netherlands.
C3 Wageningen University & Research
RP Holmgren, M (corresponding author), Wageningen Univ, Dept Environm Sci, Droevendaalsesteeg 3a, NL-6708 PB Wageningen, Netherlands.
EM Milena.Holmgren@wur.nl
FU INTERACT grant (EU-H2020) [730938]
FX INTERACT grant (EU-H2020), 730938.
CR Alves J, 2013, MAMM BIOL, V78, P134, DOI 10.1016/j.mambio.2012.08.003
   Beer C, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-60938-y
   Bernes C., 2015, A Systematic Review. Environmental Evidence, V4, P1
   Brown J., 1998, National Snow and Ice Data Center
   Cohen J, 2013, REMOTE SENS ENVIRON, V135, P107, DOI 10.1016/j.rse.2013.03.029
   Devoie ÉG, 2019, WATER RESOUR RES, V55, P9838, DOI 10.1029/2018WR024488
   Falk JM, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/4/045001
   Fischer W, 2022, BIOGEOSCIENCES, V19, P1611, DOI 10.5194/bg-19-1611-2022
   Heijmans MMPD, 2022, NAT REV EARTH ENV, V3, P68, DOI 10.1038/s43017-021-00233-0
   Holmgren M, 2015, J ECOL, V103, P58, DOI 10.1111/1365-2745.12331
   Hugelius G, 2020, P NATL ACAD SCI USA, V117, P20438, DOI 10.1073/pnas.1916387117
   Istomin KV, 2016, POLAR SCI, V10, P278, DOI 10.1016/j.polar.2016.07.002
   Johansson M, 2006, AMBIO, V35, P190, DOI 10.1579/0044-7447(2006)35[190:WDTCPO]2.0.CO;2
   Kitti H, 2009, POLAR BIOL, V32, P253, DOI 10.1007/s00300-008-0526-9
   Kumpula J., 2009, Riista ja kalatalous-Tutkimuksia
   Lawrence DM, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/4/045504
   Li J, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac2376
   Limpens J, 2021, ECOSYSTEMS, V24, P370, DOI 10.1007/s10021-020-00523-6
   Macias-Fauria M, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0122
   Magnússon RI, 2020, J GEOPHYS RES-BIOGEO, V125, DOI 10.1029/2019JG005618
   Malhi Y, 2022, CURR BIOL, V32, pR181, DOI 10.1016/j.cub.2022.01.041
   Meredith M., 2019, Polar Regions. IPCC Special Report on the Ocean and Cryosphere in a Changing Climate
   Metcalfe DB, 2018, NAT ECOL EVOL, V2, P1443, DOI 10.1038/s41559-018-0612-5
   Monteath AJ, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2107977118
   Murchie TJ, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-27439-6
   Olofsson J, 2018, PHILOS T R SOC B, V373, DOI 10.1098/rstb.2017.0437
   Olvmo M, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-65719-1
   Perino A, 2019, SCIENCE, V364, P351, DOI 10.1126/science.aav5570
   Rantanen M, 2022, COMMUN EARTH ENVIRON, V3, DOI 10.1038/s43247-022-00498-3
   Scheffer M, 2015, SCIENCE, V347, P1317, DOI 10.1126/science.aaa3769
   Scheffer M, 2012, P NATL ACAD SCI USA, V109, P21384, DOI 10.1073/pnas.1219844110
   Schindler DW, 1998, ECOSYSTEMS, V1, P323, DOI 10.1007/s100219900026
   Schuur EAG, 2018, ANNU REV ECOL EVOL S, V49, P279, DOI 10.1146/annurev-ecolsys-121415-032349
   Seppala M., 1988, ADV PERIGLACIAL GEOM, P247
   Shan W, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-78170-z
   Skjenneberg S., 1979, Reindeer husbandry and its ecological principles
   Stark S., 2022, Perspectives in Plant Ecology, Evolution and Systematics
   Strauss J, 2017, EARTH-SCI REV, V172, P75, DOI 10.1016/j.earscirev.2017.07.007
   Suominen O, 2000, ANN ZOOL FENN, V37, P233
   te Beest M, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/aa5128
   Underwood AJ, 2000, J EXP MAR BIOL ECOL, V250, P97, DOI 10.1016/S0022-0981(00)00181-7
   Voigt C, 2017, P NATL ACAD SCI USA, V114, P6238, DOI 10.1073/pnas.1702902114
   Vuojala-Magga T, 2015, SPRINGERPLUS, V4, DOI 10.1186/s40064-015-0921-y
   Windirsch T, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.893478
   Zhang T, 2008, POLAR GEOGR, V31, P47, DOI 10.1080/10889370802175895
   ZIMOV SA, 1995, AM NAT, V146, P765, DOI 10.1086/285824
NR 46
TC 4
Z9 4
U1 4
U2 15
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1432-9840
EI 1435-0629
J9 ECOSYSTEMS
JI Ecosystems
PD 2023 AUG 31
PY 2023
DI 10.1007/s10021-023-00865-x
EA AUG 2023
PG 13
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA R2FA8
UT WOS:001062540600001
OA hybrid
DA 2025-01-10
ER

PT J
AU Yang, J
   Ding, YA
   Zhang, L
AF Yang, Jie
   Ding, Yanan
   Zhang, Lin
TI Conceptualizing and Measuring Megacity Resilience with an Integrated
   Approach: The Case of China
SO SUSTAINABILITY
LA English
DT Article
DE megacity resilience; urban sustainability; PSR theory; comprehensive
   index; CRITIC-Entropy-TOPSIS; TOWA
ID CLIMATE-CHANGE ADAPTATION; URBAN RESILIENCE; RISK; FRAMEWORK;
   SUSTAINABILITY; TRANSFORMATION; STRATEGIES; MANAGEMENT; INDICATOR;
   NETWORKS
AB Megacities play an essential role in social interaction and relationship formation. There is a need for megacity resilience to achieve both safety and sustainability. This paper set out to develop a contextualized conceptual framework and an applied megacity resilience comprehensive index (MRCI). The study provides a multi-model named the technique for order preference by similarity to ideal solution (TOPSIS), extending the criteria importance through inter-criteria correlation and entropy (CRITIC-Entropy) weight and introducing the time-ordered weighted averaging (TOWA) to a dynamic situation. The results show that, while the performance of resilience in Nanjing was the highest, the growth ratio of resilience in Zhengzhou was the fastest. In addition, a coupling relationship of pressure, state, and response resilience was verified, and response resilience was more correlated and showed similar trends with the MRCI. The findings indicate that response resilience is still an obstacle factor in the criterion layer in Dalian. Moreover, identified key obstacle factors in the index layer may differ by district or functional zones and need to improve unified and point to area operation. Issues around resilient culture and citizenship were found to be common. Improving public service in Zhengzhou, enhancing support for applied research in Nanjing, and optimizing the ecological industry layout in Dalian were identified as key focuses. This study should be of value for similar megacities in developed or developing countries to improve their resilience.
C1 [Yang, Jie; Ding, Yanan; Zhang, Lin] Shandong Jianzhu Univ, Sch Management Engn, 1000 Fengming Rd, Jinan 250101, Peoples R China.
C3 Shandong Jianzhu University
RP Zhang, L (corresponding author), Shandong Jianzhu Univ, Sch Management Engn, 1000 Fengming Rd, Jinan 250101, Peoples R China.
EM zhanglin2007@sdjzu.edu.cn
RI zhang, lin/JDM-2043-2023
OI Zhang, Lin/0000-0001-8231-393X
FU Shandong Province Social Science Foundation of China [21CGLJ26];
   Shandong Province Science Foundation of China [ZR202103070032]; Shandong
   Jianzhu university doctoral foundation project [X19009S]; Shandong
   Housing and Urban-Rural Development Department [20220020]
FX This study is supported by the Shandong Province Social Science
   Foundation of China (Grant Number 21CGLJ26), the Shandong Province
   Science Foundation of China (Grant Number ZR202103070032,), the Shandong
   Jianzhu university doctoral foundation project (Grant Number X19009S),
   the Shandong Housing and Urban-Rural Development Department (Grant
   Number 2018R1-03), and the Shandong Housing and Urban-Rural Development
   Department (Grant Number 20220020).
CR Acuti D, 2020, CITIES, V99, DOI 10.1016/j.cities.2020.102608
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Aitsi-Selmi A, 2015, INT J DISAST RISK SC, V6, P164, DOI 10.1007/s13753-015-0050-9
   Amirzadeh M, 2022, SUSTAIN CITIES SOC, V81, DOI 10.1016/j.scs.2022.103853
   Andreassen N, 2020, SAFETY SCI, V130, DOI 10.1016/j.ssci.2020.104895
   [Anonymous], 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   [Anonymous], 1996, Engineering Within Ecological Constraints, DOI DOI 10.17226/4919
   Behzadian M, 2012, EXPERT SYST APPL, V39, P13051, DOI 10.1016/j.eswa.2012.05.056
   Béné C, 2018, CLIM DEV, V10, P116, DOI 10.1080/17565529.2017.1301868
   Birkmann J, 2013, NAT HAZARDS, V67, P193, DOI 10.1007/s11069-013-0558-5
   Boschetti F, 2017, SUSTAIN SCI, V12, P345, DOI 10.1007/s11625-017-0429-1
   Brink E, 2016, GLOBAL ENVIRON CHANG, V36, P111, DOI 10.1016/j.gloenvcha.2015.11.003
   Bueno S, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102588
   Buhaug H, 2013, GLOBAL ENVIRON CHANG, V23, P1, DOI 10.1016/j.gloenvcha.2012.10.016
   Busch H, 2015, INT J URBAN SUSTAIN, V7, P213, DOI 10.1080/19463138.2015.1057144
   Cariolet JM, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101746
   Carrero R, 2019, URBAN STUD, V56, P561, DOI 10.1177/0042098018810606
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   Chen CK, 2020, SAFETY SCI, V128, DOI 10.1016/j.ssci.2020.104756
   Chen M, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12062819
   Chen Y, 2020, ECOL INDIC, V118, DOI 10.1016/j.ecolind.2020.106771
   Cheng HR, 2022, SCI TOTAL ENVIRON, V804, DOI 10.1016/j.scitotenv.2021.150053
   Croese S, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12020550
   Cutter S L., 2008, Geography, V1, P2301
   Davoudi S, 2013, PLAN PRACT RES, V28, P307, DOI 10.1080/02697459.2013.787695
   Depietri Y, 2020, SUSTAIN SCI, V15, P587, DOI 10.1007/s11625-019-00710-y
   Dessavre DG, 2016, RELIAB ENG SYST SAFE, V149, P34, DOI 10.1016/j.ress.2015.12.009
   DIAKOULAKI D, 1995, COMPUT OPER RES, V22, P763, DOI 10.1016/0305-0548(94)00059-H
   Ekmekcioglu Ö, 2022, SUSTAIN CITIES SOC, V80, DOI 10.1016/j.scs.2022.103759
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   Esfandi S, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103458
   Feldmeyer D, 2021, SCI TOTAL ENVIRON, V774, DOI 10.1016/j.scitotenv.2021.145734
   Feng Y, 2021, NAT HAZARDS, V105, P1109, DOI 10.1007/s11069-020-04297-x
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Fong KC, 2018, CURR ENV HLTH REP, V5, P77, DOI 10.1007/s40572-018-0179-y
   Fu YL, 2020, SOC INDIC RES, V152, P117, DOI 10.1007/s11205-020-02422-8
   Fullér R, 2003, FUZZY SET SYST, V136, P203, DOI 10.1016/S0165-0114(02)00267-1
   Galaitsi SE, 2021, RISK ANAL, V41, P3, DOI 10.1111/risa.13577
   Gong P, 2012, LANCET, V379, P843, DOI 10.1016/S0140-6736(11)61878-3
   Grove J.M., 2015, Global Land Project News, V11, P6
   Guo Ya-jun, 2010, Systems Engineering and Electronics, V32, P1225, DOI 10.3969/j.issn.1001-506X.2010.06.025
   [郭亚军 GUO Yajun], 2007, [系统工程理论与实践, Systems Engineering-Theory & Practice], V27, P154, DOI 10.1016/S1874-8651(08)60060-5
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Houlden V, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0203000
   Hu XJ, 2021, ECOL INDIC, V125, DOI 10.1016/j.ecolind.2021.107464
   Huang GY, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103210
   Huang S., 2021, CHIN J MANAG SCI, V30, P180
   Huck A, 2020, CITIES, V98, DOI 10.1016/j.cities.2019.102573
   Iturriza M, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11113054
   Iwaniec DM, 2020, LANDSCAPE URBAN PLAN, V200, DOI 10.1016/j.landurbplan.2020.103820
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   Kabisch N, 2016, ECOL SOC, V21, DOI 10.5751/ES-08373-210239
   Kammouh O, 2019, ASCE-ASME J RISK U A, V5, DOI 10.1061/AJRUA6.0001004
   Lengnick-Hall CA, 2011, HUM RESOUR MANAGE R, V21, P243, DOI 10.1016/j.hrmr.2010.07.001
   Li DR, 2019, INT J DIGIT EARTH, V12, P1382, DOI 10.1080/17538947.2018.1512662
   Li WW, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10124542
   Lin BB, 2021, LANCET PLANET HEALTH, V5, pE479, DOI 10.1016/S2542-5196(21)00135-2
   Lindner R, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13169000
   Liu DX, 2020, APPL SCI-BASEL, V10, DOI 10.3390/app10155152
   Liu L, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132212460
   Liu XL, 2021, NAT HAZARDS, V107, P2105, DOI 10.1007/s11069-020-04478-8
   Lu H, 2022, INT J DISAST RISK RE, V79, DOI 10.1016/j.ijdrr.2022.103167
   Lucini B., 2013, Int J Disaster Resil Built Environ, V4, P58, DOI [10.1108/17595901311299008, DOI 10.1108/17595901311299008]
   Lundberg J, 2015, RELIAB ENG SYST SAFE, V141, P22, DOI 10.1016/j.ress.2015.03.013
   Magis K, 2010, SOC NATUR RESOUR, V23, P401, DOI 10.1080/08941920903305674
   Mallick SK, 2021, GEOGR SUSTAIN, V2, P127, DOI 10.1016/j.geosus.2021.06.002
   Maraña P, 2020, TECHNOL FORECAST SOC, V154, DOI 10.1016/j.techfore.2020.119954
   Matyas D, 2015, DISASTERS, V39, pS1, DOI 10.1111/disa.12107
   McEwen L, 2018, INT J DISAST RISK RE, V27, P329, DOI 10.1016/j.ijdrr.2017.10.018
   McGee T.G, 2021, LIVING MEGACITY SUST, P17
   Meerow S, 2017, ENVIRON PLANN A, V49, P2649, DOI 10.1177/0308518X17723630
   Meerow S, 2019, URBAN GEOGR, V40, P309, DOI 10.1080/02723638.2016.1206395
   Meerow S, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8070701
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Meyar-Naimi H, 2012, ENERG POLICY, V43, P351, DOI 10.1016/j.enpol.2012.01.012
   Meyer N, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11195514
   Muñoz-Erickson TA, 2021, LANDSCAPE URBAN PLAN, V214, DOI 10.1016/j.landurbplan.2021.104173
   Nordgren J, 2016, ENVIRON SCI POLICY, V66, P344, DOI 10.1016/j.envsci.2016.05.006
   Nunes DM, 2019, J ENVIRON MANAGE, V244, P422, DOI 10.1016/j.jenvman.2019.05.027
   Olwig MF, 2012, APPL GEOGR, V33, P112, DOI 10.1016/j.apgeog.2011.10.007
   Osman T, 2021, CITIES, V118, DOI 10.1016/j.cities.2021.103372
   Paschen JA, 2014, RES POLICY, V43, P1083, DOI 10.1016/j.respol.2013.12.006
   Pei L, 2010, PROCEDIA ENVIRON SCI, V2, P832, DOI 10.1016/j.proenv.2010.10.094
   Raymond CM, 2017, ENVIRON SCI POLICY, V77, P15, DOI 10.1016/j.envsci.2017.07.008
   Renn O, 2011, AMBIO, V40, P231, DOI 10.1007/s13280-010-0134-0
   Ruan JE, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102578
   Sharifi A, 2021, SCI TOTAL ENVIRON, V750, DOI 10.1016/j.scitotenv.2020.141642
   Shen Y, 2022, ENVIRON SCI POLLUT R, V29, P12648, DOI 10.1007/s11356-021-16274-3
   Shi YJ, 2021, CITIES, V112, DOI 10.1016/j.cities.2021.103141
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   Spellman KV, 2021, FRONT ECOL EVOL, V9, DOI 10.3389/fevo.2021.695534
   Suárez M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080774
   Taylor Z, 2021, REG STUD, V55, P831, DOI 10.1080/00343404.2020.1760235
   Therrien MC, 2020, J CONTING CRISIS MAN, V28, P83, DOI 10.1111/1468-5973.12283
   Tonne C, 2021, ENVIRON INT, V146, DOI 10.1016/j.envint.2020.106236
   Torabi E, 2022, URBAN RES PRACT, V15, P561, DOI 10.1080/17535069.2020.1846771
   Torkayesh AE, 2021, SUSTAIN CITIES SOC, V71, DOI 10.1016/j.scs.2021.102975
   Tyler S, 2016, ENVIRON SCI POLICY, V66, P420, DOI 10.1016/j.envsci.2016.08.004
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   Tzeng GH, 2011, MULTIPLE ATTRIBUTE DECISION MAKING: METHODS AND APPLICATIONS, P1
   Uddin MS, 2021, INT J DISAST RISK RE, V63, DOI 10.1016/j.ijdrr.2021.102444
   Urquiza A, 2021, EARTHS FUTURE, V9, DOI 10.1029/2020EF001508
   Walker B, 2004, ECOL SOC, V9
   Walker BH, 2020, ECOL SOC, V25, DOI 10.5751/ES-11647-250211
   Walz R, 2000, ENVIRON MANAGE, V25, P613, DOI 10.1007/s002670010048
   Wang B, 2020, CITIES, V106, DOI 10.1016/j.cities.2020.102884
   Wang D, 2020, RESOUR POLICY, V68, DOI 10.1016/j.resourpol.2020.101794
   Wang W, 2021, BUILD ENVIRON, V188, DOI 10.1016/j.buildenv.2020.107425
   Wardekker A, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103258
   Wei LY, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14074215
   Williams TA, 2017, ACAD MANAG ANN, V11, P733, DOI 10.5465/annals.2015.0134
   Williams TA, 2016, ACAD MANAGE J, V59, P2069, DOI 10.5465/amj.2015.0682
   Witting A, 2017, POLICY SOC, V36, P251, DOI 10.1080/14494035.2017.1322772
   Woodruff SC, 2018, ENVIRON SCI POLICY, V84, P60, DOI 10.1016/j.envsci.2018.03.002
   Wu J., 2013, Resil. Ecol. Urban Des, P211
   Wu Y, 2020, SUSTAIN DEV, V28, P922, DOI 10.1002/sd.2046
   Xu WP, 2021, WATER-SUI, V13, DOI 10.3390/w13152022
   You XT, 2022, NAT HAZARDS, V113, P1751, DOI 10.1007/s11069-022-05368-x
   Zanotti L, 2020, ECOL SOC, V25, DOI 10.5751/ES-11642-250304
   Zeng X, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14052481
   Zhang L, 2019, J CLEAN PROD, V226, P949, DOI 10.1016/j.jclepro.2019.04.067
   Zhang MM, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16224442
   Zhang QX, 2020, ENVIRON HAZARDS-UK, V19, P107, DOI 10.1080/17477891.2019.1671786
   Zhang XL, 2018, CITIES, V72, P141, DOI 10.1016/j.cities.2017.08.009
   Zheng Y, 2018, ADV CLIM CHANG RES, V9, P234, DOI 10.1016/j.accre.2018.12.002
   Zhou GY, 2020, J ENVIRON MANAGE, V275, DOI 10.1016/j.jenvman.2020.111142
   Zhou Y, 2022, LAND USE POLICY, V117, DOI 10.1016/j.landusepol.2022.106113
   Zhu SY, 2021, INT J DISAST RISK RE, V61, DOI 10.1016/j.ijdrr.2021.102355
   Zhu Y, 2022, SUSTAIN CITIES SOC, V82, DOI 10.1016/j.scs.2022.103892
   Ziervogel G, 2017, ENVIRON URBAN, V29, P123, DOI 10.1177/0956247816686905
NR 130
TC 5
Z9 5
U1 13
U2 79
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD SEP
PY 2022
VL 14
IS 18
AR 11685
DI 10.3390/su141811685
PG 26
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 4U2ZC
UT WOS:000858667200001
OA gold
DA 2025-01-10
ER

PT J
AU Bourgault, M
   Tausz-Posch, S
   Greenwood, M
   Löw, M
   Henty, S
   Armstrong, RD
   O'Leary, GL
   Fitzgerald, GJ
   Tausz, M
AF Bourgault, Maryse
   Tausz-Posch, Sabine
   Greenwood, Mark
   Low, Markus
   Henty, Samuel
   Armstrong, Roger D.
   O'Leary, Garry L.
   Fitzgerald, Glenn J.
   Tausz, Michael
TI Does Elevated [CO<sub>2</sub>] Only Increase Root Growth in the Topsoil?
   A FACE Study with Lentil in a Semi-Arid Environment
SO PLANTS-BASEL
LA English
DT Article
DE Lens culinaris; climate change adaptation; root development; root depth
   distribution
ID SOIL-WATER; ENRICHMENT FACE; CARBON-DIOXIDE; WINTER-WHEAT; YIELD;
   RESPONSES; NITROGEN; TRAITS; IMPACT; DEEPER
AB Atmospheric carbon dioxide concentrations [CO2] are increasing steadily. Some reports have shown that root growth in grain crops is mostly stimulated in the topsoil rather than evenly throughout the soil profile by e[CO2], which is not optimal for crops grown in semi-arid environments with strong reliance on stored water. An experiment was conducted during the 2014 and 2015 growing seasons with two lentil (Lens culinaris) genotypes grown under Free Air CO2 Enrichment (FACE) in which root growth was observed non-destructively with mini-rhizotrons approximately every 2-3 weeks. Root growth was not always statistically increased by e[CO2] and not consistently between depths and genotypes. In 2014, root growth in the top 15 cm of the soil profile (topsoil) was indeed increased by e[CO2], but increases at lower depths (30-45 cm) later in the season were greater than in the topsoil. In 2015, e[CO2] only increased root length in the topsoil for one genotype, potentially reflecting the lack of plant available soil water between 30-60 cm until recharged by irrigation during grain filling. Our limited data to compare responses to e[CO2] showed that root length increases in the topsoil were correlated with a lower yield response to e[CO2]. The increase in yield response was rather correlated with increases in root growth below 30 cm depth.
C1 [Bourgault, Maryse] Univ Saskatchewan, Coll Agr, 51 Campus Dr, Saskatoon, SK S7N 5A8, Canada.
   [Bourgault, Maryse] Montana State Univ, Northern Agr Res Ctr, 3710 Assinniboine Rd, Havre, MT 59501 USA.
   [Bourgault, Maryse; Low, Markus; Henty, Samuel] Univ Melbourne, Fac Vet & Agr Sci, 4 Water St, Creswick, Vic 3363, Australia.
   [Tausz-Posch, Sabine; Tausz, Michael] CQ Univ Australia, Dept Agr Sci & Environm, 114-190 Yaamba Rd, Norman Gardens, Qld 4701, Australia.
   [Greenwood, Mark] Montana State Univ, Dept Math Sci, Bozeman, MT 59717 USA.
   [Henty, Samuel] Agr Victoria, Univ Melbourne Campus, Parkville, Vic 3053, Australia.
   [Armstrong, Roger D.; O'Leary, Garry L.; Fitzgerald, Glenn J.] Grains Innovat Pk, Agr Victoria, 110 Natimuk Rd, Horsham, Vic 3401, Australia.
C3 University of Saskatchewan; Montana State University System; Montana
   State University Northern; Montana State University Bozeman; University
   of Melbourne; Central Queensland University; Montana State University
   System; Montana State University Bozeman; Agriculture Victoria
RP Bourgault, M (corresponding author), Univ Saskatchewan, Coll Agr, 51 Campus Dr, Saskatoon, SK S7N 5A8, Canada.; Bourgault, M (corresponding author), Montana State Univ, Northern Agr Res Ctr, 3710 Assinniboine Rd, Havre, MT 59501 USA.; Bourgault, M (corresponding author), Univ Melbourne, Fac Vet & Agr Sci, 4 Water St, Creswick, Vic 3363, Australia.
EM maryse.bourgault@usask.ca; s.tausz-posch@cqu.edu.au;
   greenwood@montana.edu; llow@swin.edu.au;
   sam.henty@agriculture.vic.gov.au;
   roger.armstrong@agriculture.vic.gov.au;
   garry.oleary@agriculture.vic.gov.au;
   glenn.fitzgerald@agriculture.vic.gov.au; m.tausz@cqu.edu.au
RI Tausz, Michael/AHC-9128-2022; Bourgault, Maryse/D-4416-2009; Tausz,
   Michael/C-1990-2013
OI Tausz, Michael/0000-0001-8205-8561; Bourgault,
   Maryse/0000-0001-7756-7353; Fitzgerald, Glenn/0000-0001-6972-4443; Low,
   Markus/0000-0002-8514-4710; Greenwood, Mark/0000-0001-6933-1201
FU Australian Commonwealth Department of Agriculture and Water Resources
   [FtRG 1193982-41]; Grains Research and Development Corporation
   [DAV00121, DAV00137]; Institutional Development Awards (IDeA) from the
   National Institute of General Medical Sciences of the National
   Institutes of Health [P20GM103474, 2U54GM104944]
FX The AGFACE program was jointly run by The University of Melbourne and
   Agriculture Victoria (Victorian Department of Economic Development,
   Jobs, Transport and Resources), and received additional funding from the
   Australian Commonwealth Department of Agriculture and Water Resources
   (grant number FtRG 1193982-41) and the Grains Research and Development
   Corporation (grant numbers DAV00121 and DAV00137). Statistical
   Consulting and Research Services at Montana State University is
   supported by Institutional Development Awards (IDeA) from the National
   Institute of General Medical Sciences of the National Institutes of
   Health under Awards P20GM103474 and 2U54GM104944, and the content is
   solely the responsibility of the authors and does not necessarily
   represent the official views of the National Institutes of Health.
CR [Anonymous], 2015, VICTORIAN WINTER CRO
   [Anonymous], 2016, CLIM DAT ONL
   [Anonymous], 2016, VICTORIAN WINTER CRO
   Bahrami H, 2017, J PLANT PHYSIOL, V216, P44, DOI 10.1016/j.jplph.2017.05.011
   Benlloch-Gonzalez M, 2014, PLANT SOIL, V374, P963, DOI 10.1007/s11104-013-1934-3
   BOLANOS J, 1993, FIELD CROP RES, V31, P269, DOI 10.1016/0378-4290(93)90066-V
   Bourgault M, 2018, CROP SCI, V58, P803, DOI 10.2135/cropsci2017.09.0565
   Bourgault M, 2017, EUR J AGRON, V87, P50, DOI 10.1016/j.eja.2017.05.003
   CHAUDHURI UN, 1990, CROP SCI, V30, P853, DOI 10.2135/cropsci1990.0011183X003000040017x
   ERSKINE W, 1990, THEOR APPL GENET, V80, P193, DOI 10.1007/BF00224386
   FAOSTAT, 2020, FAOSTAT CROPS
   Freebairn D., 2018, P NAT SOILS C CANB A, P429
   Gan YT, 2009, CAN J PLANT SCI, V89, P883, DOI 10.4141/CJPS08154
   Gorim LY, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01632
   Hall A, 2009, CROP PHYSIOLOGY: APPLICATIONS FOR GENETIC IMPROVEMENT AND AGRONOMY, P545, DOI 10.1016/B978-0-12-374431-9.00021-9
   Isbell R.F., 1996, AUSRALIAN SOIL CLASI
   Kimball BA, 2016, CURR OPIN PLANT BIOL, V31, P36, DOI 10.1016/j.pbi.2016.03.006
   Kirkegaard JA, 2007, AUST J AGR RES, V58, P303, DOI 10.1071/AR06285
   Leakey ADB, 2009, J EXP BOT, V60, P2859, DOI 10.1093/jxb/erp096
   Lynch JP, 2018, J EXP BOT, V69, P3279, DOI 10.1093/jxb/ery048
   Madhu M, 2013, AGRON J, V105, P657, DOI 10.2134/agronj2013.0018
   Manschadi AM, 2006, FUNCT PLANT BIOL, V33, P823, DOI 10.1071/FP06055
   Mollah M, 2009, CROP PASTURE SCI, V60, P697, DOI 10.1071/CP08354
   Myers SS, 2014, NATURE, V510, P139, DOI 10.1038/nature13179
   Nie M, 2013, GLOBAL ECOL BIOGEOGR, V22, P1095, DOI 10.1111/geb.12062
   O'Leary GJ, 2015, GLOBAL CHANGE BIOL, V21, P2670, DOI 10.1111/gcb.12830
   Ohashi A.Y.P., 2019, Agric. Res. Technol, V22, P556182, DOI [10.19080/ARTOAJ.2019.22.556182, DOI 10.19080/ARTOAJ.2019.22.556182]
   Palta JA, 2011, FUNCT PLANT BIOL, V38, P347, DOI 10.1071/FP11031
   Parvin S, 2019, ENVIRON EXP BOT, V165, P161, DOI 10.1016/j.envexpbot.2019.06.003
   Parvin S, 2018, PLANT CELL ENVIRON, V41, P2418, DOI 10.1111/pce.13360
   Pask AJD, 2013, CROP SCI, V53, P2090, DOI 10.2135/cropsci2013.01.0011
   PASSIOURA JB, 1983, AGR WATER MANAGE, V7, P265, DOI 10.1016/0378-3774(83)90089-6
   Pinheiro J., 2018, Linear and Nonlinear Mixed Effects Models
   Qiao YZ, 2010, AGR WATER MANAGE, V97, P1742, DOI 10.1016/j.agwat.2010.06.007
   R Core Team, 2020, R: A Language and Environment for Statistical Computing
   Saha S, 2011, AGR ECOSYST ENVIRON, V142, P213, DOI 10.1016/j.agee.2011.05.008
   Tausz-Posch S, 2020, PLANT BIOLOGY, V22, P38, DOI 10.1111/plb.12994
   Uddin S, 2018, ENVIRON EXP BOT, V155, P518, DOI 10.1016/j.envexpbot.2018.07.017
   Uddin S, 2018, FIELD CROP RES, V224, P170, DOI 10.1016/j.fcr.2018.05.014
   Wechsung G, 1999, GLOBAL CHANGE BIOL, V5, P519, DOI 10.1046/j.1365-2486.1999.00243.x
   Wickham H, 2009, USE R, P1, DOI 10.1007/978-0-387-98141-3
NR 41
TC 3
Z9 3
U1 2
U2 11
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
SN 2223-7747
J9 PLANTS-BASEL
JI Plants-Basel
PD APR
PY 2021
VL 10
IS 4
AR 612
DI 10.3390/plants10040612
PG 12
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA RS1MT
UT WOS:000643549000001
PM 33804836
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Blennow, K
   Persson, J
AF Blennow, Kristina
   Persson, Johannes
TI To Mitigate or Adapt? Explaining Why Citizens Responding to Climate
   Change Favour the Former
SO LAND
LA English
DT Article
DE climate change adaptation; climate change mitigation; tipping point
   behaviour; risk perception; net value of expected impacts; decision
   maker's tipping point behaviour; systemic tipping point behaviour
AB Why do citizens' decisions made because they favour the mitigation of climate change outnumber those made because they favour adaptation to its impacts? Using data collected in a survey of 338 citizens of Malmo, Sweden, we tested two hypotheses. H1: the motivation for personal decisions because they favour adaptation to the impacts of climate change correlates with the decision-making agent's knowledge of specific local impacts of climate change, and H2: the motivation for personal decisions because they favour mitigation of climate change correlates with the risk perception of the decision-making agent. While decisions made because they favour mitigation correlated with negative net values of expected impacts of climate change (risk perception), decisions made because they favour adaptation correlated with its absolute value unless tipping point behaviour occurred. Tipping point behaviour occurs here when the decision-making agent abstains from decisions in response to climate change in spite of a strongly negative or positive net value of expected impacts. Hence, the decision-making agents' lack of knowledge of specific climate change impacts inhibited decisions promoting adaptation. Moreover, positive experiences of climate change inhibited mitigation decisions. Discussing the results, we emphasised the importance of understanding the drivers of adaptation and mitigation decisions. In particular, we stress that attention needs to be paid to the balance between decisions solving problems 'here and now' and those focusing on the 'there and then'.
C1 [Blennow, Kristina] Swedish Univ Agr Sci, Dept Landscape Architecture Planning & Management, SLU Alnarp, S-23422 Lomma, Sweden.
   [Persson, Johannes] Lund Univ, Dept Philosophy, S-22222 Lund, Sweden.
C3 Swedish University of Agricultural Sciences; Lund University
RP Blennow, K (corresponding author), Swedish Univ Agr Sci, Dept Landscape Architecture Planning & Management, SLU Alnarp, S-23422 Lomma, Sweden.
EM Kristina.Blennow@slu.se; Johannes.Persson@fil.lu.se
RI Persson, Johannes/HMD-4673-2023; Blennow, Kristina/D-7388-2016
OI Blennow, Kristina/0000-0002-7602-5322; Persson,
   Johannes/0000-0003-4568-1850
FU Swedish Energy Agency [45808-1]; Swedish Foundation for Humanities and
   Social Sciences [M14-0138:1]; Swedish Foundation for Humanities and
   Social Sciences [M14-0138:1] Funding Source: Swedish Foundation for
   Humanities and Social Sciences
FX The research was supported by The Swedish Energy Agency, grant number
   45808-1 (to K.B.) and The Swedish Foundation for Humanities and Social
   Sciences, grant number M14-0138:1 (to J.P.).
CR [Anonymous], 2016, LIMESURVEY OPEN SOUR
   [Anonymous], Paris Agreement
   [Anonymous], 2007, Climate Change 2007: Synthesis Report, P76
   B-a-ath Rasmus., 2014, BAYESIAN 1 AID PACKA
   Berggren-Clausen S., 2015, FRAMTIDSKLIMAT SKANE
   Biesbroek GR, 2009, HABITAT INT, V33, P230, DOI 10.1016/j.habitatint.2008.10.001
   Blennow K, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/abc2fa
   Blennow K, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0050182
   Chipman HA, 2010, ANN APPL STAT, V4, P266, DOI 10.1214/09-AOAS285
   Kapelner A, 2016, J STAT SOFTW, V70, P1
   Kern C, 2019, SURV RES METHODS-GER, V13, P73, DOI 10.18148/srm/2019.v13i1.7395
   Klein RJT, 2005, ENVIRON SCI POLICY, V8, P579, DOI 10.1016/j.envsci.2005.06.010
   Luhmann Niklas., 1993, Risk: A Sociological Theory, R. Barnet
   Masson-Delmotte V., 2018, ANNEX GLOSSARY GLOBA, P542
   Osberghaus D, 2017, J RISK RES, V20, P909, DOI 10.1080/13669877.2015.1121907
   Persson J., 2007, RISKER KUNSKAPENS ME
   Persson J, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12072659
   R Core Team, 2020, R: A Language and Environment for Statistical Computing
   Rabin M, 1998, J ECON LIT, V36, P11
   Semenza JC, 2011, ENVIRON HEALTH-GLOB, V10, DOI 10.1186/1476-069X-10-46
   Shalev-Shwartz S., 2016, Understanding machine learning: From theory to algorithms, V1
   Simon HA, 1955, Q J ECON, V69, P99, DOI 10.2307/1884852
   Sjostrom A, 2017, FRAMTIDA HAVSNIVAER
   Torrance G W, 1989, Int J Technol Assess Health Care, V5, P559
   TVERSKY A, 1992, J RISK UNCERTAINTY, V5, P297, DOI 10.1007/BF00122574
   Wakker PP, 2001, ECONOMETRICA, V69, P1039, DOI 10.1111/1468-0262.00229
NR 26
TC 3
Z9 3
U1 3
U2 16
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD MAR
PY 2021
VL 10
IS 3
AR 240
DI 10.3390/land10030240
PG 13
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA RE0JI
UT WOS:000633851700001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Vajjarapu, H
   Verma, A
   Allirani, H
AF Vajjarapu, Harsha
   Verma, Ashish
   Allirani, Hemanthini
TI Evaluating climate change adaptation policies for urban transportation
   in India
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Vulnerability assessment; Travel demand modelling; Urban floods; Urban
   transport policy; Developing economies
ID VULNERABILITY ASSESSMENT; DELPHI METHOD; IMPACTS; RESILIENCE; CITY
AB Globally, the response to climate change has been through mitigation to reduce the greenhouse gas emissions. But the inevitable climate change effects due to constant feeding of emissions into atmosphere leads to severe and extreme precipitation causing flooding. The combined impact of flooding, rapid urbanization and vehicular growth has become a looming threat to the transportation system which is affecting the developing economies disproportionately. There is an urgent need for the transport infrastructure to adapt to these climate change effects to reduce human as well as economic losses and adaptation is seen as the necessary tool to address this. In this paper, a methodological approach to formulate the adaptation strategies from urban transport to urban flooding in developing economies is presented. Further three adaptation policy bundles are formulated specifically to enhance the resilience of transportation system against urban flooding thereby strengthening the adaptive capacity of the system. These strategies are evaluated for the years 2030 and 2050 along with base year for various travel parameters to estimate the impact of flooding. This study finds that the implementation of bundle 1 is an effective adaptation measure when compared to bundle 2 and 3. The comparative analysis with BAU flooding scenario shows that VKT of bundle 1 is reduced by 4% and 3%, speeds increased by 21% and 45%, vehicle hours travelled by 9% and 8% for the years 2030 and 2050 respectively. Trips that are cancelled due to flooding can be nullified using appropriate strategies is also shown in this paper.
C1 [Vajjarapu, Harsha; Verma, Ashish; Allirani, Hemanthini] Indian Inst Sci, Dept Civil Engn, Bangalore, Karnataka, India.
C3 Indian Institute of Science (IISC) - Bangalore
RP Verma, A (corresponding author), Indian Inst Sci, Dept Civil Engn, Bangalore, Karnataka, India.
EM ashishv@iisc.ac.in
OI Allirani, Hemanthini/0000-0002-2762-1590; Vajjarapu,
   Harsha/0000-0003-4214-2261
FU Research Council of Norway (NFR) [ITEN 001]
FX The work reported in this paper is part of the Indo-Norway Collaborative
   Project titled "Coping with Climate: Assessing Policies for Climate
   Change Adoption and Transport Sector Mitigation in Indian Cities
   (CLIMATRANS)", Project No. ITEN 001, Sponsored by Research Council of
   Norway (NFR). The authors thank the other project partners for their
   feedback and support throughout the project. Also, our sincere thanks to
   the all the. Also, we express our sincere thanks to all the stakeholders
   from the organisations of Bangalore Metropolitan Region who actively
   participated and provided inputs for completion of this work.
CR Adeniyi MO, 2019, POLLUTION, V5, P301
   [Anonymous], 290 TRANSP RES BOARD
   [Anonymous], 2005, Hyogo Framework for Action 2005-2015: Building the Resilience of Nations and Communities to Disasters
   [Anonymous], TERM GLOSS
   [Anonymous], ENV MANAGEMENT
   [Anonymous], 2018, POST DISASTER NEEDS
   Bangalore Development Authority (BDA), 2007, VIS DOC BANG MAST PL, V1
   Bangalore Metropolitan Region Development Authority (RMRDA), 2015, BANG METR REG REV ST
   Bangalore Metropolitan Regional Development Authority(BMRDA), 2010, COMP TRAFF TRANSP ST
   Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Bipartisan Policy Center (BPC), 2012, TRANSP AD CLIM CHANG
   Brenkert AL, 2005, CLIMATIC CHANGE, V72, P57, DOI 10.1007/s10584-005-5930-3
   Burkett V.P., 2008, IMPACTS CLIMATE CHAN, P145
   Census of India, 2014, CENS IND 2011 DISTR
   Chang H, 2010, ANN ASSOC AM GEOGR, V100, P938, DOI 10.1080/00045608.2010.497110
   Connelly A, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10051399
   Cook J, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/4/048002
   Ortúzar JD, 2011, MODELLING TRANSPORT, 4TH EDITION, P1, DOI 10.1002/9781119993308
   De US, 2005, J INDIAN GEOPHYS UNI, V9, P173
   Department of Transport, DEP TRANSP GREEN TRA
   Dhar TK, 2017, J ENVIRON PLANN MAN, V60, P602, DOI 10.1080/09640568.2016.1178107
   Directorate of Economics and Statistics (DES), 2015, STAT DISTR DOM PROD
   Eckstein D., 2017, GLOBAL CLIMATE RISK, P36
   Eisenack K, 2012, MITIG ADAPT STRAT GL, V17, P451, DOI 10.1007/s11027-011-9336-4
   Faturechi R, 2015, J INFRASTRUCT SYST, V21, DOI 10.1061/(ASCE)IS.1943-555X.0000212
   Finn C., 2013, EOS T AM GEOPHYS UN, V94, P301, DOI DOI 10.1002/2013EO340006
   Goswami BN, 2006, SCIENCE, V314, P1442, DOI 10.1126/science.1132027
   Gulzar S, 2014, PRELIMINARY GUIDELIN
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   Hammond MJ, 2015, URBAN WATER J, V12, P14, DOI 10.1080/1573062X.2013.857421
   He XJ, 2017, J ENVIRON INFORM, V29, P110, DOI 10.3808/jei.201700367
   Hensher DA, 2008, TRANSPORT RES D-TR E, V13, P95, DOI 10.1016/j.trd.2007.12.003
   Hirschhorn F, 2019, INT J SOC RES METHOD, V22, P309, DOI 10.1080/13645579.2018.1543841
   Hunt A, 2011, CLIMATIC CHANGE, V104, P13, DOI 10.1007/s10584-010-9975-6
   Jenelius E, 2012, TRANSPORT RES A-POL, V46, P746, DOI 10.1016/j.tra.2012.02.003
   Karbassi AR, 2015, INT J ENVIRON RES, V9, P621
   Koetse MJ, 2009, TRANSPORT RES D-TR E, V14, P205, DOI 10.1016/j.trd.2008.12.004
   Kumar P, 2016, LAND USE POLICY, V58, P514, DOI 10.1016/j.landusepol.2016.08.018
   Leiserowitz A., 2012, CLIMATE CHANGE INDIA
   Levy BS, 2015, ANN GLOB HEALTH, V81, P310, DOI 10.1016/j.aogh.2015.08.008
   Loo R, 2002, POLICING, V25, P762, DOI 10.1108/13639510210450677
   Mattsson LG, 2015, TRANSPORT RES A-POL, V81, P16, DOI 10.1016/j.tra.2015.06.002
   May A.D., 2000, WORKING PAPER, P545
   Navazi A, 2017, INDIAN J GEO-MAR SCI, V46, P1183
   Ng E, 2018, URBAN CLIM, V23, P352, DOI 10.1016/j.uclim.2017.07.006
   PEW, 2008, AD PLANN WHAT US STA
   Pregnolato M, 2017, J INFRASTRUCT SYST, V23, DOI 10.1061/(ASCE)IS.1943-555X.0000372
   Pregnolato M, 2017, TRANSPORT RES D-TR E, V55, P67, DOI 10.1016/j.trd.2017.06.020
   Ramachandra T., 2009, Disaster Dev, V3, P1
   Ramachandra T.V., 2017, FREQUENT FLOODS BANG, DOI [10.13140/RG.2.2.17517.90088, DOI 10.13140/RG.2.2.17517.90088]
   Ramachandra T.V., 2012, Journal of Resources, Energy and Development, V9, P1, DOI DOI 10.3233/RED-120001
   Rani NNVS, 2015, NAT HAZARDS, V77, P405, DOI 10.1007/s11069-015-1597-x
   Revi A, 2008, ENVIRON URBAN, V20, P207, DOI 10.1177/0956247808089157
   Ryan Coffey, 2013, DIFFERENCE LAND USE
   Salehi E, 2016, POLLUTION, V2, P83, DOI 10.7508/pj.2016.01.009
   Sanyal J, 2005, HYDROL PROCESS, V19, P3699, DOI 10.1002/hyp.5852
   Satterthwaite D., 2008, Proceedings of the United Nations Expert Group meeting on population distribution, urbanization, internal migration and development, P21
   Scholz M, 2007, BUILD ENVIRON, V42, P3830, DOI 10.1016/j.buildenv.2006.11.016
   Sharma D, 2010, ENVIRON URBAN, V22, P451, DOI 10.1177/0956247810377390
   Singh P, 2018, INT J DISAST RISK RE, V28, P237, DOI 10.1016/j.ijdrr.2018.03.017
   Suarez P, 2005, TRANSPORT RES D-TR E, V10, P231, DOI 10.1016/j.trd.2005.04.007
   US DOT Guidebook, 2010, US DOT GUIDEBOOK PRE
   Vajjarapu H., 2018, GEOSPATIAL INFRASTRU, P235
   Vajjarapu H, 2019, TRANSP DEV ECON, V5, DOI 10.1007/s40890-019-0071-y
   Van MG., 1990, TRANSPORT RES REC
   Vasudha Foundation, Climate Change and Environment Action Plan of Ahmedabad District
   Verma A., 2018, SUSTAINABLE TR UNPUB
   Weingarten F.W., 1989, United States government information policies
NR 69
TC 16
Z9 17
U1 4
U2 37
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD AUG
PY 2020
VL 47
AR 101528
DI 10.1016/j.ijdrr.2020.101528
PG 20
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA LW7CS
UT WOS:000539301800013
DA 2025-01-10
ER

PT J
AU Kim, D
   Lee, J
AF Kim, Donghyun
   Lee, Junbeom
TI Spatial Changes in Work Capacity for Occupations Vulnerable to Heat
   Stress: Potential Regional Impacts From Global Climate Change
SO SAFETY AND HEALTH AT WORK
LA English
DT Article
DE Climate change adaptation; Exploratory spatial data analysis; Labor
   productivity; Work capacity; Working conditions
ID ECONOMIC DIVERSITY; WBGT; INDEX
AB Background: As the impact of climate change intensifies, exposure to heat stress will grow, leading to a loss of work capacity for vulnerable occupations and affecting individual labor decisions. This study estimates the future work capacity under the Representative Concentration Pathways 8.5 scenario and discusses its regional impacts on the occupational structure in the Republic of Korea.
   Methods: The data utilized for this study constitute the local wet bulb globe temperature from the Korea Meteorological Administration and information from the Korean Working Condition Survey from the Occupational Safety and Health Research Institute of Korea. Using these data, we classify the occupations vulnerable to heat stress and estimate future changes in work capacity at the local scale, considering the occupational structure. We then identify the spatial cluster of diminishing work capacity using exploratory spatial data analysis.
   Results: Our findings indicate that 52 occupations are at risk of heat stress, including machine operators and elementary laborers working in the construction, welding, metal, and mining industries. Moreover, spatial clusters with diminished work capacity appear in southwest Korea.
   Conclusion: Although previous studies investigated the work capacity associated with heat stress in terms of climatic impact, this study quantifies the local impacts due to the global risk of climate change. The results suggest the need for mainstreaming an adaptation policy related to work capacity in regional development strategies. (C) 2019 Occupational Safety and Health Research Institute, Published by Elsevier Korea LLC.
C1 [Kim, Donghyun] Pusan Natl Univ, Dept Urban Planning & Engn, Busan, South Korea.
   [Lee, Junbeom] Korea Environm Inst, Seoul, South Korea.
C3 Pusan National University; Korea Environment Institute (KEI)
RP Kim, D (corresponding author), 2 Busandaehak Ro 63beon Gil, Busan 46241, South Korea.
EM donghyun-kim@pusan.ac.kr
RI ; Kim, Donghyun/HDO-8306-2022
OI Lee, Junbeom/0000-0001-6317-249X; Kim, Donghyun/0000-0003-3711-5103
FU National Research Foundation of Korea (NRF) - Korean government
   [NRF-2017R1A2B4008057]
FX This study was supported by the National Research Foundation of Korea
   (NRF) grant funded by the Korean government (No. NRF-2017R1A2B4008057).
CR Alfano FRD, 2014, ANN OCCUP HYG, V58, P955, DOI 10.1093/annhyg/meu050
   [Anonymous], PREV HEAT STRESS WOR
   [Anonymous], 2012, KOR PEN CLIM CHANG P
   [Anonymous], HEAT STRESS PROGR
   [Anonymous], 2017, CLIM INF PORT
   [Anonymous], 2014, BEST PRACT WORK SAF
   [Anonymous], 1997, GUID MAN WORK EXTR T
   ANSELIN L, 1995, GEOGR ANAL, V27, P93, DOI 10.1111/j.1538-4632.1995.tb00338.x
   Budd GM, 2008, J SCI MED SPORT, V11, P20, DOI 10.1016/j.jsams.2007.07.003
   Cronin S, 2013, WORK, V44, P37, DOI [10.3233/WOR-2012-01560, 10.3233/WOR-2012-1560]
   Dunne JP, 2013, NAT CLIM CHANGE, V3, P563, DOI 10.1038/NCLIMATE1827
   Fu SH, 2007, J URBAN ECON, V61, P86, DOI 10.1016/j.jue.2006.06.002
   Gaspar AR, 2009, INT J BIOMETEOROL, V53, P221, DOI 10.1007/s00484-009-0207-6
   Kerslake DM., 1972, STRESS HOT ENV, DOI DOI 10.1017/S0001924000044262
   Kim D, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8010034
   Kjellstrom T, 2009, GLOBAL HEALTH ACTION, V2, DOI [10.3402/gha.v2i0.1958, 10.3402/gha.v2i0.2047]
   Kjellstrom T, 2009, ARCH ENVIRON OCCUP H, V64, P217, DOI 10.1080/19338240903352776
   MALIZIA EE, 1993, J REGIONAL SCI, V33, P221, DOI 10.1111/j.1467-9787.1993.tb00222.x
   Ono M, 2014, JAPANESE J BIOMETEOR, V50, P147, DOI [DOI 10.11227/SEIKISHO.50.147, 10.11227/seikisho.50.147]
   Rameezdeen R, 2017, INT J ENV RES PUB HE, V14, DOI 10.3390/ijerph14010070
   Xiao Y, 2013, J AM PLANN ASSOC, V79, P148, DOI 10.1080/01944363.2013.882125
   YAGLOU C P, 1957, AMA Arch Ind Health, V16, P302
NR 22
TC 15
Z9 15
U1 4
U2 25
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2093-7911
EI 2093-7997
J9 SAF HEALTH WORK-KR
JI Saf. Health Work
PD MAR
PY 2020
VL 11
IS 1
BP 1
EP 9
DI 10.1016/j.shaw.2019.10.004
PG 9
WC Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health
GA LI2SM
UT WOS:000529333800001
PM 32206368
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Brown, I
AF Brown, Iain
TI Assessing climate change risks to the natural environment to facilitate
   cross-sectoral adaptation policy
SO PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL
   AND ENGINEERING SCIENCES
LA English
DT Article
DE risk assessment; adaptation; climate change policy; natural environment;
   ecosystem approach; land use
ID EXTREME SEA LEVELS; ECOSYSTEM SERVICES; FUTURE CLIMATE; LAND-USE; SOIL
   BIODIVERSITY; RESPONSE OPTIONS; TAXONOMIC GROUPS; DECISION-MAKING;
   FRESH-WATER; LEVEL RISE
AB Climate change policy requires prioritization of adaptation actions across many diverse issues. The policy agenda for the natural environment includes not only biodiversity, soils and water, but also associated human benefits through agriculture, forestry, water resources, hazard alleviation, climate regulation and amenity value. To address this broad agenda, the use of comparative risk assessment is investigated with reference to statutory requirements of the UK Climate Change Risk Assessment. Risk prioritization was defined by current adaptation progress relative to risk magnitude and implementation lead times. Use of an ecosystem approach provided insights into risk interactions, but challenges remain in quantifying ecosystem services. For all risks, indirect effects and potential systemic risks were identified from land-use change, responding to both climate and socio-economic drivers, and causing increased competition for land and water resources. Adaptation strategies enhancing natural ecosystem resilience can buffer risks and sustain ecosystem services but require improved cross-sectoral coordination and recognition of dynamic change. To facilitate this, risk assessments need to be reflexive and explicitly assess decision outcomes contingent on their riskiness and adaptability, including required levels of human intervention, influence of uncertainty and ethical dimensions. More national-scale information is also required on adaptation occurring in practice and its efficacy in moderating risks.
   This article is part of the theme issue 'Advances in risk assessment for climate change adaptation policy'.
C1 [Brown, Iain] Univ Dundee, Sch Social Sci, Dundee DD1 4HN, Scotland.
C3 University of Dundee
RP Brown, I (corresponding author), Univ Dundee, Sch Social Sci, Dundee DD1 4HN, Scotland.
EM i.x.brown@dundee.ac.uk
RI Brown, Iain/M-7580-2017
OI Brown, Iain/0000-0002-3469-5598
FU Climate Change Committee [UKCCRA2017]
FX Funding for UKCCRA2017 was provided by the Climate Change Committee.
CR Albertson K, 2010, CLIM RES, V45, P105, DOI 10.3354/cr00926
   Alfieri L, 2016, CLIMATIC CHANGE, V136, P507, DOI 10.1007/s10584-016-1641-1
   Alverson K, 2000, QUATERNARY SCI REV, V19, P3, DOI 10.1016/S0277-3791(99)00083-9
   Amano T, 2014, P ROY SOC B-BIOL SCI, V281, DOI 10.1098/rspb.2013.3017
   [Anonymous], 2011, The UK National Ecosystem Assessment: Synthesis of the Key Findings
   [Anonymous], 2005, Ecosystems and human wellbeing: synthesis
   [Anonymous], 2017, UK CLIM CHANG RISK A
   [Anonymous], TERRESTRIAL BIODIVER
   Araújo MB, 2014, ECOGRAPHY, V37, P406, DOI 10.1111/j.1600-0587.2013.00643.x
   ASC, 2013, MAN LAND CHANG CLIM
   Atkinson MD, 2005, AGR FOREST METEOROL, V130, P27, DOI 10.1016/j.agrformet.2005.02.002
   Baily B, 2007, J COASTAL RES, V23, P1549, DOI 10.2112/05-0597.1
   Banks C. J., 2009, EARTHSCAN, P101
   Bardgett RD, 2014, NATURE, V515, P505, DOI 10.1038/nature13855
   Barnes AP, 2016, REG ENVIRON CHANGE, V16, P2269, DOI 10.1007/s10113-015-0916-9
   Barraclough D, 2015, EUR J SOIL SCI, V66, P451, DOI 10.1111/ejss.12253
   Bellamy PH, 2005, NATURE, V437, P245, DOI 10.1038/nature04038
   Bennett EM, 2015, CURR OPIN ENV SUST, V14, P76, DOI 10.1016/j.cosust.2015.03.007
   Benson D, 2017, REG ENVIRON CHANGE, V17, P1921, DOI 10.1007/s10113-016-0959-6
   Bilotta GS, 2014, ENVIRON SCI POLICY, V42, P67, DOI 10.1016/j.envsci.2014.05.010
   Bishop ID, 2015, LANDSCAPE URBAN PLAN, V142, P120, DOI 10.1016/j.landurbplan.2014.06.001
   Blöschl G, 2017, SCIENCE, V357, P588, DOI 10.1126/science.aan2506
   Boerema A, 2017, J APPL ECOL, V54, P358, DOI 10.1111/1365-2664.12696
   Britton AJ, 2017, BIOL CONSERV, V210, P72, DOI 10.1016/j.biocon.2017.04.005
   Broadmeadow M. S. J., 2009, Combating climate change: a role for UK forests. An assessment of the potential of the UK's trees and woodlands to mitigate and adapt to climate change, P50
   Brown I., 2016, UK Climate Change Risk Assessment, Chapter 3: Natural Environment and Natural Assets
   Brown I, 2008, CLIM RES, V37, P43, DOI 10.3354/cr00753
   Brown I, 2017, APPL GEOGR, V85, P126, DOI 10.1016/j.apgeog.2017.05.011
   Brown L, 2017, GEODERMA, V285, P173, DOI 10.1016/j.geoderma.2016.09.023
   Brown I, 2015, CLIMATE, V3, P937, DOI 10.3390/cli3040937
   Brown I, 2015, ENVIRON SCI POLICY, V52, P74, DOI 10.1016/j.envsci.2015.05.005
   Brown I, 2015, ENVIRON SCI POLICY, V52, P61, DOI 10.1016/j.envsci.2015.05.006
   Brown I, 2015, INT J BIOMETEOROL, V59, P717, DOI 10.1007/s00484-014-0882-9
   Brown I, 2014, REG ENVIRON CHANGE, V14, P1357, DOI 10.1007/s10113-013-0579-3
   Brown I, 2013, INT J BIOMETEOROL, V57, P605, DOI 10.1007/s00484-012-0588-9
   Brown I, 2011, REG ENVIRON CHANGE, V11, P503, DOI 10.1007/s10113-010-0163-z
   Brown K, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2017.0303
   Brown S, 2014, NAT CLIM CHANGE, V4, P752, DOI 10.1038/nclimate2344
   Brownlie J., 2006, INFECT DIS PREPARING
   Burch S, 2014, ENVIRON SCI POLICY, V37, P79, DOI 10.1016/j.envsci.2013.08.014
   Butterworth MH, 2010, J R SOC INTERFACE, V7, P123, DOI 10.1098/rsif.2009.0111
   Cardona OD, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P65
   Clews E, 2010, GLOBAL CHANGE BIOL, V16, P3271, DOI 10.1111/j.1365-2486.2010.02211.x
   Collentine D, 2018, J FLOOD RISK MANAG, V11, P76, DOI 10.1111/jfr3.12269
   Curtis CJ, 2014, ECOL INDIC, V37, P412, DOI 10.1016/j.ecolind.2013.10.012
   Daccache A, 2012, J AGR SCI-CAMBRIDGE, V150, P161, DOI 10.1017/S0021859611000839
   de Jong MC, 2016, NAT HAZARD EARTH SYS, V16, P1217, DOI 10.5194/nhess-16-1217-2016
   de Vries FT, 2012, NAT CLIM CHANGE, V2, P276, DOI [10.1038/nclimate1368, 10.1038/NCLIMATE1368]
   Defra, 2010, NAT ENV AD CLIM CHAN
   Devictor V, 2012, NAT CLIM CHANGE, V2, P121, DOI 10.1038/NCLIMATE1347
   Díaz S, 2018, SCIENCE, V359, P270, DOI 10.1126/science.aap8826
   Dickson ME, 2007, CLIMATIC CHANGE, V84, P141, DOI 10.1007/s10584-006-9200-9
   Dise NB, 2009, SCIENCE, V326, P810, DOI 10.1126/science.1174268
   Dittrich R, 2017, REG ENVIRON CHANGE, V17, P1701, DOI 10.1007/s10113-017-1134-4
   Doody J. Pat, 2004, Journal of Coastal Conservation, V10, P129, DOI 10.1652/1400-0350(2004)010[0129:CSAHP]2.0.CO;2
   Dunford RW, 2015, LANDSCAPE ECOL, V30, P443, DOI 10.1007/s10980-014-0148-2
   Dunn SM, 2012, J HYDROL, V434, P19, DOI 10.1016/j.jhydrol.2012.02.039
   Durance I, 2009, FRESHWATER BIOL, V54, P388, DOI 10.1111/j.1365-2427.2008.02112.x
   Durance I, 2007, GLOBAL CHANGE BIOL, V13, P942, DOI 10.1111/j.1365-2486.2007.01340.x
   Ellis EC, 2011, PHILOS T R SOC A, V369, P1010, DOI 10.1098/rsta.2010.0331
   European Environment Agency, 2015, CLIM CHANG IMP AD
   Everard M, 2012, WATER ENVIRON J, V26, P165, DOI 10.1111/j.1747-6593.2011.00273.x
   Firbank LG, 2008, PHILOS T R SOC B, V363, P777, DOI 10.1098/rstb.2007.2183
   Foresight Land Use Futures Project, 2010, FOR MIGR GLOB ENV CH
   Fox N.J., 2015, Adv. Anim. Biosci, V6, P32, DOI [10.1017/S204047001400048X, DOI 10.1017/S204047001400048X]
   French J, 2006, MAR GEOL, V235, P119, DOI 10.1016/j.margeo.2006.10.009
   Gallagher RV, 2013, ECOGRAPHY, V36, P531, DOI 10.1111/j.1600-0587.2012.07514.x
   Gallina V, 2016, J ENVIRON MANAGE, V168, P123, DOI 10.1016/j.jenvman.2015.11.011
   Gilioli G, 2014, SCI TOTAL ENVIRON, V468, P475, DOI 10.1016/j.scitotenv.2013.08.068
   Gill T, 2012, ARE FARMERS PREPARIN
   Gliessman StephenR., 2006, Agroecology: The Ecology of Sustainable Food Systems, VSecond
   Gottfried M, 2012, NAT CLIM CHANGE, V2, P111, DOI [10.1038/nclimate1329, 10.1038/NCLIMATE1329]
   Gracia A, 2018, OCEAN COAST MANAGE, V156, P277, DOI 10.1016/j.ocecoaman.2017.07.009
   Grasso M, 2015, CLIMATIC CHANGE, V130, P327, DOI 10.1007/s10584-014-1323-9
   Grimm NB, 2016, CLIMATIC CHANGE, V135, P97, DOI 10.1007/s10584-015-1547-3
   Grimm NB, 2013, FRONT ECOL ENVIRON, V11, P474, DOI 10.1890/120282
   Grman E, 2010, ECOL LETT, V13, P1400, DOI 10.1111/j.1461-0248.2010.01533.x
   Guillod BP, 2018, HYDROL EARTH SYST SC, V22, P611, DOI 10.5194/hess-22-611-2018
   Guis H, 2012, J R SOC INTERFACE, V9, P339, DOI 10.1098/rsif.2011.0255
   Haigh ID, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms4635
   Hall J, 2014, HYDROL EARTH SYST SC, V18, P2735, DOI 10.5194/hess-18-2735-2014
   Hallegatte S, 2016, NATURE, V534, P613, DOI 10.1038/534613a
   Hanger S, 2013, REG ENVIRON CHANGE, V13, P91, DOI 10.1007/s10113-012-0317-2
   Hannaford J, 2012, J HYDROL, V475, P158, DOI 10.1016/j.jhydrol.2012.09.044
   Hannaford J, 2015, PROG PHYS GEOG, V39, P29, DOI 10.1177/0309133314536755
   Hannah DM, 2015, PROG PHYS GEOG, V39, P68, DOI 10.1177/0309133314550669
   Hanson S, 2010, J COASTAL RES, V26, P831, DOI 10.2112/JCOASTRES-D-09-00078.1
   Harrison PA, 2016, NAT CLIM CHANGE, V6, P885, DOI [10.1038/NCLIMATE3039, 10.1038/nclimate3039]
   Hautier Y, 2015, SCIENCE, V348, P336, DOI 10.1126/science.aaa1788
   Heffernan C., 2012, CAB Reviews, V7, P1, DOI 10.1079/PAVSNNR20127011
   Hess TM, 2013, OUTLOOK AGR, V42, P85, DOI 10.5367/oa.2013.0130
   Hess TM, 2010, HYDROL PROCESS, V24, P1357, DOI 10.1002/hyp.7598
   Hickling R, 2006, GLOBAL CHANGE BIOL, V12, P450, DOI 10.1111/j.1365-2486.2006.01116.x
   Hiley JR, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2012.2310
   Hill DL, 2015, ANIMAL, V9, P138, DOI 10.1017/S1751731114002456
   Hoggart SPG, 2014, COAST ENG, V87, P169, DOI 10.1016/j.coastaleng.2013.12.001
   Holman IP, 2016, REG ENVIRON CHANGE, V16, P97, DOI 10.1007/s10113-014-0679-8
   Huntley B, 2018, CONSERV LETT, V11, DOI 10.1111/conl.12349
   Iacob O, 2017, HYDROLOG SCI J, V62, P1931, DOI 10.1080/02626667.2017.1366657
   Jackson CR, 2015, PROG PHYS GEOG, V39, P49, DOI 10.1177/0309133314550668
   Jeppesen E, 2012, HYDROBIOLOGIA, V694, P1, DOI 10.1007/s10750-012-1182-1
   Johnson AC, 2009, SCI TOTAL ENVIRON, V407, P4787, DOI 10.1016/j.scitotenv.2009.05.018
   Jones BL, 2016, ROY SOC OPEN SCI, V3, DOI 10.1098/rsos.150596
   Jones LM, 2017, GLOBAL CHANGE BIOL, V23, P4497, DOI 10.1111/gcb.13676
   Jones M.L.M., 2011, The UK National Ecosystem Assessment Technical Report, P411
   Jurgilevich A, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa5508
   Keay CA, 2014, J AGR SCI-CAMBRIDGE, V152, P23, DOI 10.1017/S0021859612000822
   Keay CA, 2014, IMPACT CLIMATE CHANG
   Kirchhoff CJ, 2013, ANNU REV ENV RESOUR, V38, P393, DOI 10.1146/annurev-environ-022112-112828
   Lane SN, 2011, PHILOS T R SOC A, V369, P1784, DOI 10.1098/rsta.2010.0346
   Lawton J., 2010, Making Space for Nature: A Review of England's Wildlife Sites and Ecological Network
   Lee JM, 2013, GRASS FORAGE SCI, V68, P485, DOI 10.1111/gfs.12039
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/NCLIMATE1614, 10.1038/nclimate1614]
   Lindner M, 2014, J ENVIRON MANAGE, V146, P69, DOI 10.1016/j.jenvman.2014.07.030
   Mace GM, 2014, SCIENCE, V345, P1558, DOI 10.1126/science.1254704
   Martay B, 2017, ECOGRAPHY, V40, P1139, DOI 10.1111/ecog.02411
   Martin TG, 2016, NAT CLIM CHANGE, V6, P122, DOI 10.1038/nclimate2918
   Martinez-Harms MJ, 2015, BIOL CONSERV, V184, P229, DOI 10.1016/j.biocon.2015.01.024
   Mason SC, 2015, BIOL J LINN SOC, V115, P586, DOI 10.1111/bij.12574
   Matthews T, 2016, CLIM RISK MANAG, V11, P37, DOI 10.1016/j.crm.2016.01.004
   MCCIP, 2017, MAR CLIM CHANG IMP 1
   Milligan J, 2007, COAST MANAGE, V35, P499, DOI 10.1080/08920750701525800
   Minteer BA, 2010, ECOL APPL, V20, P1801, DOI 10.1890/10-0318.1
   Möller I, 2014, NAT GEOSCI, V7, P727, DOI [10.1038/ngeo2251, 10.1038/NGEO2251]
   Möller I, 2006, ESTUAR COAST SHELF S, V69, P337, DOI 10.1016/j.ecss.2006.05.003
   Montanarella L, 2015, NATURE, V528, P32, DOI 10.1038/528032a
   Moss Brian, 2014, Freshwater Reviews, V7, P25, DOI 10.1608/FRJ-7.1.789
   Mossman HL, 2012, J APPL ECOL, V49, P1446, DOI 10.1111/j.1365-2664.2012.02198.x
   Mullan D, 2013, CATENA, V109, P234, DOI 10.1016/j.catena.2013.03.007
   Murphy J.M., 2009, UK Climate Projections Science Report: Climate change projections
   Neal C, 2010, SCI TOTAL ENVIRON, V408, P1315, DOI 10.1016/j.scitotenv.2009.10.055
   Nerem RS, 2018, P NATL ACAD SCI USA, V115, P2022, DOI 10.1073/pnas.1717312115
   Nicholls RJ, 2013, OCEAN ENG, V71, P3, DOI 10.1016/j.oceaneng.2013.01.025
   Niles MT, 2016, CLIMATIC CHANGE, V135, P277, DOI 10.1007/s10584-015-1558-0
   Nobre GG, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa7c22
   O'Riordan T, 2014, LANDSCAPE RES, V39, P613, DOI 10.1080/01426397.2014.975108
   Obst C, 2016, ENVIRON RESOUR ECON, V64, P1, DOI 10.1007/s10640-015-9921-1
   ODUM E P, 1971, P574
   Oliver TH, 2015, TRENDS ECOL EVOL, V30, P673, DOI 10.1016/j.tree.2015.08.009
   Oliver TH, 2015, NAT CLIM CHANGE, V5, P941, DOI [10.1038/nclimate2746, 10.1038/NCLIMATE2746]
   ORESKES N, 1994, SCIENCE, V263, P641, DOI 10.1126/science.263.5147.641
   Orr HG, 2015, HYDROL PROCESS, V29, P752, DOI 10.1002/hyp.10181
   Pagad Shyama, 2018, Sci Data, V5, P170202, DOI 10.1038/sdata.2017.202
   Pecl GT, 2017, SCIENCE, V355, DOI 10.1126/science.aai9214
   Petr M, 2014, CLIMATIC CHANGE, V124, P791, DOI 10.1007/s10584-014-1122-3
   Plieninger T, 2015, CURR OPIN ENV SUST, V14, P28, DOI 10.1016/j.cosust.2015.02.006
   Ponisio LC, 2016, P ROY SOC B-BIOL SCI, V283, DOI 10.1098/rspb.2015.2913
   Preston BL, 2015, CURR OPIN ENV SUST, V14, P127, DOI 10.1016/j.cosust.2015.05.002
   Pugh TAM, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms12608
   Raymond CM, 2011, CLIMATIC CHANGE, V104, P653, DOI 10.1007/s10584-010-9806-9
   Reidsma P, 2010, EUR J AGRON, V32, P91, DOI 10.1016/j.eja.2009.06.003
   Rennie AF, 2011, GEOMORPHOLOGY, V125, P193, DOI 10.1016/j.geomorph.2010.09.015
   Rockström J, 2009, NATURE, V461, P472, DOI 10.1038/461472a
   Ross LC, 2012, J VEG SCI, V23, P755, DOI 10.1111/j.1654-1103.2012.01390.x
   Runting RK, 2017, GLOBAL CHANGE BIOL, V23, P28, DOI 10.1111/gcb.13457
   Sayers P.B., 2015, CLIMATE CHANGE RISK
   Scheffer M, 2009, NATURE, V461, P53, DOI 10.1038/nature08227
   Schetke S, 2018, ECOSYST SERV, V29, P294, DOI 10.1016/j.ecoser.2016.12.017
   Scholes RJ, 2016, WIRES CLIM CHANGE, V7, P537, DOI 10.1002/wcc.404
   Schröter M, 2014, CONSERV LETT, V7, P514, DOI 10.1111/conl.12091
   Seastedt TR, 2008, FRONT ECOL ENVIRON, V6, P547, DOI 10.1890/070046
   Semenov MA, 2011, SCI REP-UK, V1, DOI 10.1038/srep00066
   Slocum MG, 2010, J APPL METEOROL CLIM, V49, P2559, DOI 10.1175/2010JAMC2532.1
   Smith LA, 2011, PHILOS T R SOC A, V369, P4818, DOI 10.1098/rsta.2011.0149
   Smith P, 2012, CURR OPIN ENV SUST, V4, P539, DOI 10.1016/j.cosust.2012.06.005
   Smithers RJ, 2016, SCIENCE, V354, P1386, DOI 10.1126/science.aal4402
   Speed JDM, 2012, J VEG SCI, V23, P617, DOI 10.1111/j.1654-1103.2012.01391.x
   Staudt A, 2013, FRONT ECOL ENVIRON, V11, P494, DOI 10.1890/120275
   Stolte J., 2015, Soil threats in Europe, DOI 10.2788/488054
   Stone D, 2013, CLIMATIC CHANGE, V121, P381, DOI 10.1007/s10584-013-0873-6
   Taylor JA, 2004, GEOGR J, V170, P179, DOI 10.1111/j.0016-7398.2004.00119.x
   Teasdale PA, 2011, QUATERNARY SCI REV, V30, P109, DOI 10.1016/j.quascirev.2010.08.002
   Thackeray SJ, 2016, NATURE, V535, P241, DOI 10.1038/nature18608
   Thackeray SJ, 2010, GLOBAL CHANGE BIOL, V16, P3304, DOI 10.1111/j.1365-2486.2010.02165.x
   Thomas CD, 2011, TRENDS ECOL EVOL, V26, P497, DOI 10.1016/j.tree.2011.06.006
   Tonmoy FN, 2014, WIRES CLIM CHANGE, V5, P775, DOI 10.1002/wcc.314
   Tsiafouli MA, 2015, GLOBAL CHANGE BIOL, V21, P973, DOI 10.1111/gcb.12752
   UK National Ecosystem Assessment, 2014, UK NAT EC ASS FOLL S
   UN Convention on Biological Diversity, 2010, AICH BIOD TARG 2020
   UN Convention on Biological Diversity, 2004, EC APPR
   van Maanen B, 2016, GEOMORPHOLOGY, V256, P68, DOI 10.1016/j.geomorph.2015.10.026
   Visser ME, 2008, P ROY SOC B-BIOL SCI, V275, P649, DOI 10.1098/rspb.2007.0997
   Visser ME, 2012, J ORNITHOL, V153, pS75, DOI 10.1007/s10336-011-0770-6
   von Christierson B, 2012, J HYDROL, V424, P48, DOI 10.1016/j.jhydrol.2011.12.020
   Vousdoukas MI, 2017, EARTHS FUTURE, V5, P304, DOI 10.1002/2016EF000505
   Wadey MP, 2015, NAT HAZARD EARTH SYS, V15, P2209, DOI 10.5194/nhess-15-2209-2015
   Wall DH, 2015, NATURE, V528, P69, DOI 10.1038/nature15744
   Wamsler C, 2016, CLIMATIC CHANGE, V137, P71, DOI 10.1007/s10584-016-1660-y
   Wang C, 2016, INT J DIGIT EARTH, V9, P586, DOI [10.1080/17538947.2015.1111949, 10.1080/17538947.2015.11]
   Warren RF, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2017.0295
   Warren R, 2011, PHILOS T R SOC A, V369, P217, DOI 10.1098/rsta.2010.0271
   Watts G, 2015, PROG PHYS GEOG, V39, P6, DOI 10.1177/0309133314542957
   Weaver CP, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa7494
   Webb NP, 2017, FRONT ECOL ENVIRON, V15, P450, DOI 10.1002/fee.1530
   Whitehead PG, 2009, HYDROLOG SCI J, V54, P101, DOI 10.1623/hysj.54.1.101
   Wilby RL, 2010, SCI TOTAL ENVIRON, V408, P4150, DOI 10.1016/j.scitotenv.2010.05.014
   Wilby RL, 2006, ENVIRON INT, V32, P1043, DOI 10.1016/j.envint.2006.06.017
   Wilby RL, 2013, J HYDROL, V487, P109, DOI 10.1016/j.jhydrol.2013.02.038
   Yawson DO, 2016, CLIMATE, V4, DOI 10.3390/cli4040054
   Zedler JB, 2017, ESTUAR COAST, V40, P1, DOI 10.1007/s12237-016-0162-5
   ,, 2017, EEA Report
NR 201
TC 15
Z9 17
U1 4
U2 76
PU ROYAL SOC
PI LONDON
PA 6-9 CARLTON HOUSE TERRACE, LONDON SW1Y 5AG, ENGLAND
SN 1364-503X
EI 1471-2962
J9 PHILOS T R SOC A
JI Philos. Trans. R. Soc. A-Math. Phys. Eng. Sci.
PD JUN 13
PY 2018
VL 376
IS 2121
AR 20170297
DI 10.1098/rsta.2017.0297
PG 27
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics
GA GE3YM
UT WOS:000431148800002
PM 29712792
OA Green Published, Green Submitted, Bronze
DA 2025-01-10
ER

PT J
AU Garner, G
   Hannah, DM
   Watts, G
AF Garner, Grace
   Hannah, David M.
   Watts, Glenn
TI Climate change and water in the UK: Recent scientific evidence for past
   and future change
SO PROGRESS IN PHYSICAL GEOGRAPHY-EARTH AND ENVIRONMENT
LA English
DT Article
DE Climate change; climate change impacts; water; water environment;
   hydrology; hydroclimatology; hydroecology; adaptation
ID MULTIPLE STRESSORS; UNITED-KINGDOM; PROBABILISTIC IMPACTS; AQUATIC
   ECOSYSTEMS; SPATIAL-PATTERNS; SURFACE WATERS; RIVER FLOWS; TRENDS;
   TEMPERATURE; QUALITY
AB A changing climate is anticipated to alter hydroclimatological and hydroecological processes across the UK and around the world. This paper builds on a series of reports commissioned in 2012 (Water Climate Change Impacts Report Card [WCCRC], 2012) and published in a special issue of Progress in Physical Geography in 2015 that interpreted and synthesised the relevant, peer-reviewed scientific literature of climate change impacts on the UK's water environment. It aims to provide reliable, clear information about the potential impacts of climate change on hydrology and the water environment. We review new evidence since 2012 for historical and potential future changes in precipitation and evapotranspiration, river flows and groundwater levels, river and groundwater temperature/quality and, finally, aquatic ecosystems. Some new evidence exists for change in most of these hydrological components, typically in support of the spatial and temporal trends reported in WCCRC 2012. However, it remains the case that more research has been conducted on rainfall and river flows than evapotranspiration, groundwater levels, river and groundwater temperature, water quality or freshwater ecosystems. Consequently, there remains a clear disparity of robust evidence for historical and potential future change between the top and bottom of the hydroclimatological-hydroecological process chain. As was the case in WCCRC 2012, this remains a significant barrier to informed climate change adaptation in these components of the water environment.
C1 [Garner, Grace; Hannah, David M.] Univ Birmingham, Birmingham, W Midlands, England.
   [Watts, Glenn] Environm Agcy, Evidence Directorate, Bristol, Avon, England.
   [Watts, Glenn] Kings Coll London, London, England.
C3 University of Birmingham; University of London; King's College London
RP Hannah, DM (corresponding author), Univ Birmingham, Sch Geog Earth & Environm Sci, Birmingham B15 2TT, W Midlands, England.
EM d.m.hannah@bham.ac.uk
RI Watts, Glenn/H-1255-2011; Hannah, David/B-9221-2015
OI Watts, Glenn/0009-0005-6789-8550; Hannah, David/0000-0003-1714-1240
FU Living with Environmental Change (LWEC) partnership
FX This work was funded by the Living with Environmental Change (LWEC)
   partnership.
CR Afzal M, 2015, THEOR APPL CLIMATOL, V119, P135, DOI 10.1007/s00704-014-1094-2
   Allen R. G., 1998, FAO Irrigation and Drainage Paper
   Battarbee RW, 2014, ECOL INDIC, V37, P267, DOI 10.1016/j.ecolind.2013.10.011
   Blaney HF, 1950, USDA TECHNICAL B, V1275
   Blenkinsop S, 2007, INT J CLIMATOL, V27, P1595, DOI 10.1002/joc.1538
   Chan SC, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/8/084019
   Charlton MB, 2014, J HYDROL, V519, P1723, DOI 10.1016/j.jhydrol.2014.09.008
   Chebud Y, 2012, WATER AIR SOIL POLL, V223, P4875, DOI 10.1007/s11270-012-1243-0
   Clark C, 2013, WEATHER, V68, P200, DOI 10.1002/wea.2090
   Clark SJ, 2002, FRESHWATER REV, V2, P51
   Clews E, 2010, GLOBAL CHANGE BIOL, V16, P3271, DOI 10.1111/j.1365-2486.2010.02211.x
   Curtis CJ, 2014, ECOL INDIC, V37, P412, DOI 10.1016/j.ecolind.2013.10.012
   Dai AG, 2013, NAT CLIM CHANGE, V3, P52, DOI [10.1038/NCLIMATE1633, 10.1038/nclimate1633]
   Darling ES, 2008, ECOL LETT, V11, P1278, DOI 10.1111/j.1461-0248.2008.01243.x
   Des Clers S, 2008, SR070035 ENV AG SCI
   Dugdale SJ, 2016, ECOL FRESHW FISH, V25, P429, DOI 10.1111/eff.12224
   Durance I, 2009, FRESHWATER BIOL, V54, P388, DOI 10.1111/j.1365-2427.2008.02112.x
   Durance I, 2007, GLOBAL CHANGE BIOL, V13, P942, DOI 10.1111/j.1365-2486.2007.01340.x
   Durance I, 2010, J N AM BENTHOL SOC, V29, P1367, DOI 10.1899/09-159.1
   Fausch KD, 2002, BIOSCIENCE, V52, P483, DOI 10.1641/0006-3568(2002)052[0483:LTRBTG]2.0.CO;2
   Federer CA, 1996, WATER RESOUR RES, V32, P2315, DOI 10.1029/96WR00801
   Fowler HJ, 2007, J GEOPHYS RES-ATMOS, V112, DOI 10.1029/2007JD008619
   Fowler HJ, 2010, WATER RESOUR RES, V46, DOI 10.1029/2008WR007636
   Fung F, 2015, PROG PHYS GEOG, V39, P130, DOI 10.1177/0309133314538894
   Fung F, 2013, WATER RESOUR MANAG, V27, P1063, DOI 10.1007/s11269-012-0080-7
   Garner G, 2014, HYDROL EARTH SYST SC, V18, P6441
   Garner G, 2015, FRESHWATER BIOL, V60, P2461, DOI 10.1111/fwb.12667
   Garner G, 2015, HYDROL PROCESS, V29, P1080, DOI 10.1002/hyp.10223
   Garner G, 2014, HYDROL PROCESS, V28, P5583, DOI 10.1002/hyp.9992
   Hannaford J, 2008, INT J CLIMATOL, V28, P1325, DOI 10.1002/joc.1643
   Hannah DM, 2015, PROG PHYS GEOG, V39, P68, DOI 10.1177/0309133314550669
   Heathwaite AL, 2010, FRESHWATER BIOL, V55, P241, DOI 10.1111/j.1365-2427.2009.02368.x
   Hering D, 2015, SCI TOTAL ENVIRON, V503, P10, DOI 10.1016/j.scitotenv.2014.06.106
   Herrera-Pantoja M, 2008, HYDROL PROCESS, V22, P73, DOI 10.1002/hyp.6620
   Hershkovitz Y, 2015, ECOL INDIC, V50, P150, DOI 10.1016/j.ecolind.2014.10.023
   Hough MN, 1997, HYDROL EARTH SYST SC, V1, P227, DOI 10.5194/hess-1-227-1997
   Howden NJK, 2010, HYDROL PROCESS, V24, P2657, DOI 10.1002/hyp.7835
   Jackson CR, 2015, PROG PHYS GEOG, V39, P49, DOI 10.1177/0309133314550668
   Jackson CR, 2011, J HYDROL, V399, P12, DOI 10.1016/j.jhydrol.2010.12.028
   Jackson CR, 2012, CR12105N BRIT GEOL S
   Jacobs AFG, 2010, INT J CLIMATOL, V30, P1315, DOI 10.1002/joc.1957
   Jenkins G.J., 2008, CLIMATE UK RECENT TR
   Jenkins GJ, 2002, UK CLIMATE PROJECTIO
   Jensen M.E., 1963, P AM SOC CIVIL ENG J, V89, P15, DOI [DOI 10.1002/2014GL061848, 10.1061/JRCEA4.0000287, DOI 10.1061/JRCEA4.0000287]
   Johnson MF, 2014, HYDROL PROCESS, V28, P2912, DOI 10.1002/hyp.9842
   Johnson MF, 2015, WATER RESOUR RES, V51, P3754, DOI 10.1002/2014WR016802
   Jones MR, 2014, INT J CLIMATOL, V34, P751, DOI 10.1002/joc.3720
   Jones RG, 1997, Q J ROY METEOR SOC, V123, P265, DOI 10.1002/qj.49712353802
   Jordan C., 2013, An ecosystem approach to sustainable agriculture: energy use efficiency in the American South
   Jung M, 2010, NATURE, V467, P951, DOI 10.1038/nature09396
   Kay AL, 2014, REG ENVIRON CHANGE, V14, P1243, DOI 10.1007/s10113-013-0564-x
   Kay AL, 2014, REG ENVIRON CHANGE, V14, P1215, DOI 10.1007/s10113-013-0563-y
   Kay AL, 2013, J WATER CLIM CHANGE, V4, P193, DOI 10.2166/wcc.2013.014
   Kendon EJ, 2014, NAT CLIM CHANGE, V4, P570, DOI [10.1038/nclimate2258, 10.1038/NCLIMATE2258]
   Kendon EJ, 2012, J CLIMATE, V25, P5791, DOI 10.1175/JCLI-D-11-00562.1
   Kosanic A, 2014, CLIMATIC CHANGE, V124, P221, DOI 10.1007/s10584-014-1101-8
   Kurylyk BL, 2014, WATER RESOUR RES, V50, P3253, DOI 10.1002/2013WR014588
   Laizé CLR, 2014, RIVER RES APPL, V30, P299, DOI 10.1002/rra.2645
   Lavers DA, 2015, J HYDROL, V523, P179, DOI 10.1016/j.jhydrol.2015.01.060
   Ledbetter R, 2012, CLIMATIC CHANGE, V113, P803, DOI 10.1007/s10584-011-0386-0
   Lester RE, 2014, GLOBAL CHANGE BIOL, V20, P3471, DOI 10.1111/gcb.12634
   Malcolm IA, 2014, ECOL INDIC, V37, P317, DOI 10.1016/j.ecolind.2011.12.011
   Maraun D, 2010, REV GEOPHYS, V48, DOI 10.1029/2009RG000314
   Marsh T, 2012, HYDROL RES, V43, P203, DOI 10.2166/nh.2012.054
   Matthaei CD, 2010, J APPL ECOL, V47, P639, DOI 10.1111/j.1365-2664.2010.01809.x
   Monteith DT, 2014, ECOL INDIC, V37, P287, DOI 10.1016/j.ecolind.2012.08.013
   Muchan K, 2015, WEATHER, V70, P55, DOI 10.1002/wea.2469
   Murphy J.M., 2009, UK Climate Projections Science Report: Climate change projections
   [Nakienovi N. IPCC IPCC], 2000, A Special Report of Working Group II
   Navarro-Ortega A, 2015, SCI TOTAL ENVIRON, V503, P3, DOI 10.1016/j.scitotenv.2014.06.081
   Ormerod SJ, 2010, FRESHWATER BIOL, V55, P1, DOI 10.1111/j.1365-2427.2009.02395.x
   Orr HG, 2015, HYDROL PROCESS, V29, P752, DOI 10.1002/hyp.10181
   Pittock J, 2009, CLIM DEV, V1, P194, DOI 10.3763/cdev.2009.0021
   Preston BL, 2002, ENVIRON TOXICOL CHEM, V21, P151, DOI 10.1897/1551-5028(2002)021<0151:SPIBBO>2.0.CO;2
   PRIESTLEY CHB, 1972, MON WEATHER REV, V100, P81, DOI 10.1175/1520-0493(1972)100<0081:OTAOSH>2.3.CO;2
   Prosdocimi I, 2014, NAT HAZARD EARTH SYS, V14, P1125, DOI 10.5194/nhess-14-1125-2014
   Prudhomme C, 2013, HYDROL EARTH SYST SC, V17, P1365, DOI 10.5194/hess-17-1365-2013
   Prudhomme C, 2003, J HYDROL, V277, P1, DOI 10.1016/S0022-1694(03)00065-9
   Prudhomme C, 2014, P NATL ACAD SCI USA, V111, P3262, DOI 10.1073/pnas.1222473110
   Prudhomme C, 2013, CLIMATIC CHANGE, V119, P949, DOI 10.1007/s10584-013-0726-3
   Prudhomme C, 2013, CLIMATIC CHANGE, V119, P933, DOI 10.1007/s10584-013-0748-x
   Prudhomme C, 2012, HYDROL PROCESS, V26, P1115, DOI 10.1002/hyp.8434
   Rahiz M, 2013, WATER RESOUR MANAG, V27, P1039, DOI 10.1007/s11269-012-0183-1
   Remesan R, 2014, HYDROL PROCESS, V28, P3241, DOI 10.1002/hyp.9872
   Riahi K, 2011, CLIMATIC CHANGE, V109, P33, DOI 10.1007/s10584-011-0149-y
   Rivett MO, 2012, J CONTAM HYDROL, V140, P107, DOI 10.1016/j.jconhyd.2012.08.006
   Sanderson MG, 2012, WATER RESOUR RES, V48, DOI 10.1029/2012WR011881
   Sheffield J, 2012, NATURE, V491, P435, DOI 10.1038/nature11575
   Simpson IR, 2014, INT J CLIMATOL, V34, P2438, DOI 10.1002/joc.3850
   Sivapalan M, 2003, HYDROL PROCESS, V17, P2101, DOI [10.1002/hyp.1425, 10.1002/hyp.1426]
   Smokorowski KE, 2011, FISHERIES, V36, P480, DOI 10.1080/03632415.2011.616459
   Stevens AJ, 2014, HYDROLOG SCI J, V61, P1884
   Taylor RG, 2015, NATURE CLIMATE CHANG, V3, P332
   Thornthwaite CW, 1948, GEOGR REV, V38, P55, DOI 10.2307/210739
   Townsend CR, 2008, J APPL ECOL, V45, P1810, DOI 10.1111/j.1365-2664.2008.01548.x
   Turc L., 1961, Annales Agronomiques, V12, P13
   Van den Hoof C, 2013, AGR FOREST METEOROL, V181, P108, DOI 10.1016/j.agrformet.2013.07.011
   Van Loon AF, 2015, WIRES WATER, V2, P359, DOI 10.1002/wat2.1085
   Vatland SJ, 2015, WATER RESOUR RES, V51, P31, DOI 10.1002/2014WR015588
   Vaughan IP, 2014, GLOBAL CHANGE BIOL, V20, P2725, DOI 10.1111/gcb.12616
   Vidal JP, 2009, INT J CLIMATOL, V29, P2056, DOI 10.1002/joc.1843
   von Christierson B, 2012, J HYDROL, V424, P48, DOI 10.1016/j.jhydrol.2011.12.020
   Watts G, 2013, CLIMATE CHANGE REPOR
   Watts G, 2015, PROG PHYS GEOG, V39, P6, DOI 10.1177/0309133314542957
   Watts G, 2015, PROG PHYS GEOG, V39, P3, DOI 10.1177/0309133314546345
   WEBB BW, 1992, HYDROLOG SCI J, V37, P567, DOI 10.1080/02626669209492624
   Wilby RL, 2010, SCI TOTAL ENVIRON, V408, P4150, DOI 10.1016/j.scitotenv.2010.05.014
   Wilby RL, 1998, WATER RESOUR RES, V34, P2995, DOI 10.1029/98WR02577
   Wilby RL, 2013, J HYDROL, V487, P109, DOI 10.1016/j.jhydrol.2013.02.038
   Wood AW, 2004, CLIMATIC CHANGE, V62, P189, DOI 10.1023/B:CLIM.0000013685.99609.9e
   Zhang H, 2013, WATER AIR SOIL POLL, V224, DOI 10.1007/s11270-013-1438-z
NR 111
TC 33
Z9 37
U1 1
U2 99
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0309-1333
EI 1477-0296
J9 PROG PHYS GEOG
JI Prog. Phys. Geogr.
PD APR
PY 2017
VL 41
IS 2
BP 154
EP 170
DI 10.1177/0309133316679082
PG 17
WC Geography, Physical; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Physical Geography; Geology
GA ET2KI
UT WOS:000400100500002
DA 2025-01-10
ER

PT J
AU Ford, JD
   Stephenson, E
   Willox, AC
   Edge, V
   Farahbakhsh, K
   Furgal, C
   Harper, S
   Chatwood, S
   Mauro, I
   Pearce, T
   Austin, S
   Bunce, A
   Bussalleu, A
   Diaz, J
   Finner, K
   Gordon, A
   Huet, C
   Kitching, K
   Lardeau, MP
   McDowell, G
   McDonald, E
   Nakoneczny, L
   Sherman, M
AF Ford, James D.
   Stephenson, Ellie
   Willox, Ashlee Cunsolo
   Edge, Victoria
   Farahbakhsh, Khosrow
   Furgal, Christopher
   Harper, Sherilee
   Chatwood, Susan
   Mauro, Ian
   Pearce, Tristan
   Austin, Stephanie
   Bunce, Anna
   Bussalleu, Alejandra
   Diaz, Jahir
   Finner, Kaitlyn
   Gordon, Allan
   Huet, Catherine
   Kitching, Knut
   Lardeau, Marie-Pierre
   McDowell, Graham
   McDonald, Ellen
   Nakoneczny, Lesya
   Sherman, Mya
TI Community-based adaptation research in the Canadian Arctic
SO WILEY INTERDISCIPLINARY REVIEWS-CLIMATE CHANGE
LA English
DT Article
ID TRADITIONAL ECOLOGICAL KNOWLEDGE; CLIMATE-CHANGE ADAPTATION; SEA-ICE;
   PARTICIPATORY RESEARCH; ADAPTIVE CAPACITY; ENVIRONMENTAL-MANAGEMENT;
   PUBLIC-PARTICIPATION; INUIT VULNERABILITY; INDIGENOUS HEALTH; CHANGING
   CLIMATE
AB Community-based adaptation (CBA) has emerged over the last decade as an approach to empowering communities to plan for and cope with the impacts of climate change. While such approaches have been widely advocated, few have critically examined the tensions and challenges that CBA brings. Responding to this gap, this article critically examines the use of CBA approaches with Inuit communities in Canada. We suggest that CBA holds significant promise to make adaptation research more democratic and responsive to local needs, providing a basis for developing locally appropriate adaptations based on local/indigenous and Western knowledge. Yet, we argue that CBA is not a panacea, and its common portrayal as such obscures its limitations, nuances, and challenges. Indeed, if uncritically adopted, CBA can potentially lead to maladaptation, may be inappropriate in some instances, can legitimize outside intervention and control, and may further marginalize communities. We identify responsibilities for researchers engaging in CBA work to manage these challenges, emphasizing the centrality of how knowledge is generated, the need for project flexibility and openness to change, and the importance of ensuring partnerships between researchers and communities are transparent. Researchers also need to be realistic about what CBA can achieve, and should not assume that research has a positive role to play in community adaptation just because it utilizes participatory approaches. WIREs Clim Change 2016, 7:175-191. doi: 10.1002/wcc.376 For further resources related to this article, please visit the .
C1 [Ford, James D.; Stephenson, Ellie; Austin, Stephanie; Bunce, Anna; Finner, Kaitlyn; Huet, Catherine; Kitching, Knut; Lardeau, Marie-Pierre; McDowell, Graham; Nakoneczny, Lesya; Sherman, Mya] McGill Univ, Dept Geog, Montreal, PQ, Canada.
   [Willox, Ashlee Cunsolo] Cape Breton Univ, Dept Nursing, Sydney, NS, Canada.
   [Willox, Ashlee Cunsolo] Cape Breton Univ, Dept Indigenous Studies, Sydney, NS, Canada.
   [Edge, Victoria; Harper, Sherilee; McDonald, Ellen] Univ Guelph, Dept Populat Med, Guelph, ON N1G 2W1, Canada.
   [Farahbakhsh, Khosrow; Gordon, Allan] Univ Guelph, Dept Engn, Guelph, ON N1G 2W1, Canada.
   [Furgal, Christopher] Trent Univ, Dept Indigenous Studies, Peterborough, ON K9J 7B8, Canada.
   [Furgal, Christopher] Trent Univ, Dept Environm Studies, Peterborough, ON K9J 7B8, Canada.
   [Chatwood, Susan] Inst Circumpolar Hlth Res, Yellowknife, NT, Canada.
   [Mauro, Ian] Univ Winnipeg, Dept Geog, Winnipeg, MB R3B 2E9, Canada.
   [Pearce, Tristan] Univ Sunshine Coast, Sustainabil Res Ctr, Sippy Downs, Qld 4556, Australia.
   [Bussalleu, Alejandra; Diaz, Jahir] Cayatano Heredia Univ, Fac Publ Hlth, Lima, Peru.
C3 McGill University; Cape Breton University; Cape Breton University;
   University of Guelph; University of Guelph; Trent University; Trent
   University; University of Winnipeg; University of the Sunshine Coast;
   Universidad Peruana Cayetano Heredia
RP Ford, JD (corresponding author), McGill Univ, Dept Geog, Montreal, PQ, Canada.
EM james.ford@mcgill.ca
RI Austin, Stéphanie/AAM-5591-2021; Pearce, Tristan/L-9139-2019; Harper,
   Sherilee/L-4996-2013; Ford, James/A-4284-2013; Anicama,
   Jahir/C-3724-2019
OI Edge, Victoria/0000-0002-2830-8395; Harper,
   Sherilee/0000-0001-7298-8765; McDowell, Graham/0000-0003-2302-2598;
   Ford, James/0000-0002-2066-3456; Anicama, Jahir/0000-0002-3071-6718;
   Bussalleu Cavero, Alejandra/0000-0003-4262-9846
FU Canadian Institutes of Health Research (CIHR), a CIHR Applied Public
   Health Chair; Natural Sciences and Engineering Research Council of
   Canada; International Development Research Centre, ArcticNet, Fonds de
   Researche du Quebec - Sante; Nasivvik Centre for Inuit Health; Canada
   Research Chairs program
FX This research was funded by the Canadian Institutes of Health Research
   (CIHR), a CIHR Applied Public Health Chair, Social Sciences and
   Humanities Research Council of Canada, Natural Sciences and Engineering
   Research Council of Canada, the International Development Research
   Centre, ArcticNet, Fonds de Researche du Quebec - Sante, the Nasivvik
   Centre for Inuit Health, and the Canada Research Chairs program. All the
   authors thank the support and encouragement of communities across the
   North, along with community, regional, and federal governments, who have
   made their work possible and enjoyable, and from which we have learned
   so much.
CR [Anonymous], 2001, Polar Rec.
   [Anonymous], 2015, REG ENVIRON CHANGE, DOI DOI 10.1007/s10113-014-0630-z
   ARNSTEIN SR, 1969, J AM I PLANNERS, V35, P216, DOI 10.1080/01944366908977225
   Ayers J, 2009, ENVIRONMENT, V51, P22, DOI 10.3200/ENV.51.4.22-31
   Bates P, 2007, ARCTIC ANTHROPOL, V44, P87, DOI 10.1353/arc.2011.0065
   Bebbington A, 2002, ANTIPODE, V34, P800, DOI 10.1111/1467-8330.00272
   Boyle M, 2011, ADV GLOB CHANGE RES, V42, P461, DOI 10.1007/978-94-007-0567-8_34
   Brown V, 2010, WORKING GROUP 2 INTE
   Brunet ND, 2014, ECOL SOC, V19, DOI 10.5751/ES-06641-190269
   Brunner RonaldD., 2010, ADAPTIVE GOVERNANCE
   Burton P, 2013, URBAN POLICY RES, V31, P399, DOI 10.1080/08111146.2013.778196
   Cameron ES, 2012, GLOBAL ENVIRON CHANG, V22, P103, DOI 10.1016/j.gloenvcha.2011.11.004
   Carolan MS, 2003, ENVIRON VALUE, V12, P225, DOI 10.3197/096327103129341306
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   Castleden H, 2012, CAN GEOGR-GEOGR CAN, V56, P160, DOI 10.1111/j.1541-0064.2012.00432.x
   Castleden H, 2012, CAN GEOGR-GEOGR CAN, V56, P155, DOI 10.1111/j.1541-0064.2012.00430.x
   Chatwood S, 2012, AM J PUBLIC HEALTH, V102, P1246, DOI 10.2105/AJPH.2011.300584
   Clark DA, 2008, ARCTIC, V61, P347
   Cochran PAL, 2008, AM J PUBLIC HEALTH, V98, P22, DOI 10.2105/AJPH.2006.093641
   Cook B., 2001, Participation: A new tyranny?
   Cornell S, 2013, ENVIRON SCI POLICY, V28, P60, DOI 10.1016/j.envsci.2012.11.008
   Cornwall A, 2005, THIRD WORLD Q, V26, P1043, DOI 10.1080/01436590500235603
   de Leeuw S, 2012, CAN GEOGR-GEOGR CAN, V56, P180, DOI 10.1111/j.1541-0064.2012.00434.x
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   Dodman D, 2013, J INT DEV, V25, P640, DOI 10.1002/jid.1772
   Dowsley M., 2010, Etudes/ Inuit/ Studies, V34, P151, DOI 10.7202/045409ar
   Dowsley M, 2008, ARCTIC, V61, P177
   Dowsley M, 2009, POLAR RES, V28, P43, DOI 10.1111/j.1751-8369.2008.00093.x
   Dumaru P, 2010, WIRES CLIM CHANGE, V1, P751, DOI 10.1002/wcc.65
   Durkalec A, 2015, SOC SCI MED, V136, P17, DOI 10.1016/j.socscimed.2015.04.026
   Dutheil A, 2015, POLAR REC, V51, P140, DOI 10.1017/S0032247413000673
   Ebi KL, 2008, AM J PREV MED, V35, P501, DOI 10.1016/j.amepre.2008.08.018
   Egeland GM, 2011, INT J CIRCUMPOL HEAL, P70
   Fazey I, 2014, GLOBAL ENVIRON CHANG, V25, P204, DOI 10.1016/j.gloenvcha.2013.12.012
   Fazey I, 2013, ENVIRON CONSERV, V40, P19, DOI 10.1017/S037689291200029X
   Fazey I, 2011, GLOBAL ENVIRON CHANG, V21, P1275, DOI 10.1016/j.gloenvcha.2011.07.006
   Few R, 2007, CLIM POLICY, V7, P46, DOI 10.1080/14693062.2007.9685637
   Few R, 2007, COAST MANAGE, V35, P255, DOI 10.1080/08920750601042328
   Ford J, NAT CLIM CH IN PRESS
   Ford JD, 2009, CLIM RES, V38, P137, DOI 10.3354/cr00777
   Ford J, 2007, ARCTIC, V60, P150
   Ford JD, 2008, GEOGR J, V174, P45, DOI 10.1111/j.1475-4959.2007.00249.x
   Ford JD, 2015, MITIG ADAPT STRAT GL, V20, P505, DOI 10.1007/s11027-013-9505-8
   Ford JD, 2014, AM J PUBLIC HEALTH, V104, pE9, DOI 10.2105/AJPH.2013.301724
   Ford JD, 2013, GLOBAL ENVIRON CHANG, V23, P1317, DOI 10.1016/j.gloenvcha.2013.06.001
   Ford JD, 2013, ANN ASSOC AM GEOGR, V103, P1193, DOI 10.1080/00045608.2013.776880
   Ford JD, 2012, ARCTIC, V65, P289
   Ford JD, 2012, AM J PUBLIC HEALTH, V102, P1260, DOI 10.2105/AJPH.2012.300752
   Ford JD, 2010, GLOBAL ENVIRON CHANG, V20, P668, DOI 10.1016/j.gloenvcha.2010.05.003
   Ford JD, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014008
   Ford JD, 2010, GLOBAL ENVIRON CHANG, V20, P177, DOI 10.1016/j.gloenvcha.2009.10.008
   Ford JD, 2009, ENVIRON RES LETT, V4, DOI 10.1088/1748-9326/4/2/024006
   Forester J, 1999, The Deliberative Practitioner: Encouraging Participatory Planning Processes
   Forsyth T, 2013, WIRES CLIM CHANGE, V4, P439, DOI 10.1002/wcc.231
   Furgal C, 2006, ENVIRON HEALTH PERSP, V114, P1964, DOI 10.1289/ehp.8433
   Gearheard S, 2007, ARCTIC, V60, P62
   Gearheard S, 2006, AMBIO, V35, P203, DOI 10.1579/0044-7447(2006)35[203:INTSAC]2.0.CO;2
   Haalboom B, 2012, ARCTIC, V65, P319
   Harper S, 2014, THESIS U GUELPH
   Harper SL, 2012, ECOHEALTH, V9, P89, DOI 10.1007/s10393-012-0762-x
   Harper SL, 2015, BMC PUBLIC HEALTH, V15, DOI 10.1186/s12889-015-1874-3
   Henstra D, GLOB ENV CH IN PRESS
   Holm P, 2013, ENVIRON SCI POLICY, V28, P25, DOI 10.1016/j.envsci.2012.11.010
   Huntington HP, 2000, ECOL APPL, V10, P1270, DOI 10.1890/1051-0761(2000)010[1270:UTEKIS]2.0.CO;2
   Karl H, 2011, NATO SCI PEACE SEC C
   Kates RW, 2001, SCIENCE, V292, P641, DOI 10.1126/science.1059386
   Kelley A, 2013, AM J PUBLIC HEALTH, V103, P2146, DOI 10.2105/AJPH.2013.301522
   Kershaw GGL, 2014, CAN GEOGR-GEOGR CAN, V58, P393, DOI 10.1111/cag.12092
   Knapp CN, 2013, GLOBAL ENVIRON CHANG, V23, P1296, DOI 10.1016/j.gloenvcha.2013.07.007
   Laidler GJ, 2009, CLIMATIC CHANGE, V94, P363, DOI 10.1007/s10584-008-9512-z
   Larsen J. N., 2014, POLAR REGIONS
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/NCLIMATE1614, 10.1038/nclimate1614]
   Ludwig D, 2001, ECOSYSTEMS, V4, P758, DOI 10.1007/s10021-001-0044-x
   MacDonald JP, 2015, SOC SCI MED, V141, P133, DOI 10.1016/j.socscimed.2015.07.017
   MacDonald Joanna Petrasek, 2013, Int J Circumpolar Health, V72, P21775, DOI 10.3402/ijch.v72i0.21775
   McNaught R, REG ENV CHANGE, V14, P1491
   Mercer J, 2008, AREA, V40, P172, DOI 10.1111/j.1475-4762.2008.00797.x
   Mohan G, 2000, THIRD WORLD Q, V21, P247, DOI 10.1080/01436590050004346
   Moser SC, 2010, WIRES CLIM CHANGE, V1, P31, DOI 10.1002/wcc.11
   Moss RH, 2013, SCIENCE, V342, P696, DOI 10.1126/science.1239569
   Myers E, 2012, INT J CIRCUMPOL HEAL, P71
   Nadiruzzaman M, 2015, GEOFORUM, V64, P196, DOI 10.1016/j.geoforum.2015.06.026
   Naess LO, 2013, WIRES CLIM CHANGE, V4, P99, DOI 10.1002/wcc.204
   Newton J., 2005, Mitigation and Adaptation Strategies for Global Change, V10, P541, DOI 10.1007/s11027-005-0060-9
   NTI, 2014, ANN REP STAT IN CULT
   ONEIL JD, 1986, HUM ORGAN, V45, P119, DOI 10.17730/humo.45.2.q34m761r857km8lh
   Pearce T, 2015, ARCTIC, V68, P233, DOI 10.14430/arctic4475
   Pearce T, 2012, REG ENVIRON CHANGE, V12, P825, DOI 10.1007/s10113-012-0297-2
   Pearce T, 2011, HUM ECOL, V39, P271, DOI 10.1007/s10745-011-9403-1
   Pearce T, 2011, REG ENVIRON CHANGE, V11, P1, DOI 10.1007/s10113-010-0126-4
   Pearce T, 2010, POLAR REC, V46, P157, DOI 10.1017/S0032247409008602
   Pearce TD, 2009, POLAR RES, V28, P10, DOI 10.1111/j.1751-8369.2008.00094.x
   Preston BL, 2015, CURR OPIN ENV SUST, V14, P127, DOI 10.1016/j.cosust.2015.05.002
   Reed MS, 2014, J ENVIRON MANAGE, V146, P337, DOI 10.1016/j.jenvman.2014.07.021
   Reed MS, 2008, BIOL CONSERV, V141, P2417, DOI 10.1016/j.biocon.2008.07.014
   Reid H., 2009, COMMUNITY BASED ADAP, VVolume 60
   Reid H, 2014, CLIM DEV, V6, P291, DOI 10.1080/17565529.2014.973720
   Reid H, 2014, COMMUNITY-BASED ADAPTATION TO CLIMATE CHANGE: SCALING IT UP, P3
   Richardson A., 1983, PARTICIPATION
   Richmond CAM, 2009, INT J CIRCUMPOL HEAL, V68, P471
   Sadler LS, 2012, PROG COMM HLTH PARTN, V6, P463, DOI 10.1353/cpr.2012.0053
   Schroter D., 2005, Mitigation and Adaptation Strategies for Global Change, V10, P573, DOI 10.1007/s11027-005-6135-9
   Sherman MH, 2014, CLIM POLICY, V14, P417, DOI 10.1080/14693062.2014.859501
   Simonds VW, 2013, AM J PUBLIC HEALTH, V103, P2185, DOI 10.2105/AJPH.2012.301157
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smith HA, 2012, WIRES CLIM CHANGE, V3, P467, DOI 10.1002/wcc.185
   Smith L., 1999, 7 CYNTHIA STREET
   Sovacool BK, 2015, NAT CLIM CHANGE, V5, P616, DOI 10.1038/nclimate2665
   Sutherland WJ, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0031824
   Swart R, 2014, FRONT ENV SCI, P2
   Tschakert P, 2014, ENVIRON PLANN A, V46, P1049, DOI 10.1068/a46257
   Tschakert P, 2010, ECOL SOC, V15
   Tyrrell M, 2008, HUM ORGAN, V67, P322, DOI 10.17730/humo.67.3.47826252k0623352
   UNFCCC, 2013, BEST PRACT AV TOOLS
   Weatherhead E, 2010, GLOBAL ENVIRON CHANG, V20, P523, DOI 10.1016/j.gloenvcha.2010.02.002
   Wenzel G., 2013, 201TUDESINUITSTUDIES, V37, P181
   Wenzel GW, 2009, POLAR RES, V28, P89, DOI 10.1111/j.1751-8369.2009.00098.x
   Willox AC, 2012, SOC SCI MED, V75, P538, DOI 10.1016/j.socscimed.2012.03.043
   Young E., 1995, 3 WORLD 1 DEV INDIGE
   Young K, 2013, INT J CIRCUMPOL HEAL, V72, P45, DOI 10.3402/ijch.v72i0.20713
   Young TK, 2011, CAN MED ASSOC J, V183, P209, DOI 10.1503/cmaj.100948
NR 121
TC 62
Z9 69
U1 1
U2 61
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1757-7780
EI 1757-7799
J9 WIRES CLIM CHANGE
JI Wiley Interdiscip. Rev.-Clim. Chang.
PD MAR-APR
PY 2016
VL 7
IS 2
BP 175
EP 191
DI 10.1002/wcc.376
PG 17
WC Environmental Studies; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA DE5AW
UT WOS:000370643800002
PM 27668014
OA Green Submitted, Green Published, hybrid
DA 2025-01-10
ER

PT S
AU Berry, P
   Richardson, GRA
AF Berry, Peter
   Richardson, Gregory R. A.
BE Steinberg, SL
   Sprigg, WA
TI Approaches for Building Community Resilience to Extreme Heat
SO EXTREME WEATHER, HEALTH, AND COMMUNITIES: INTERDISCIPLINARY ENGAGEMENT
   STRATEGIES
SE Extreme Weather and Society
LA English
DT Article; Book Chapter
DE Extreme heat events; Heat Alert and Response Systems; Heat illness;
   Urban heat island; Climate change adaptation
ID TEMPERATURE-RELATED MORTALITY; PUBLIC-HEALTH ADAPTATION; CLIMATE-CHANGE;
   THERMAL COMFORT; INFECTIOUS-DISEASES; URBAN; WAVE; SUMMER; RISKS;
   VARIABILITY
AB Climate change is expected to increase the frequency of extreme heat events; observations already confirm this trend in many parts of the world. Extreme heat results in significant increases in morbidity and mortality when individuals and communities are not prepared for it. Vulnerability to the health impacts of extreme heat depends on a number of important individual and community level factors. This chapter presents current knowledge for supporting the development of Heat Alert and Response Systems (HARS) which alert the public and community stakeholders to dangerously hot conditions so that protective measures can be taken that reduce health impacts, particularly on the most vulnerable in society such as older adults, infants and young children, people with chronic illness, and the socially disadvantaged. Information about temperature-mortality associations provide an evidence-based foundation for developing effective measures to protect health. Effective HARS also require engagement with a broad range of community stakeholders to address key vulnerability factors (e.g. role of space and place and socio-economic challenges) and include preventative urban design measures that reduce local heat exposures before they occur. The chapter provides cases studies of Health Canada's collaboration with partners at the provincial and community level aimed at increasing understanding of heat-health impacts, building the capacity to manage growing risks due to climate change and expanding HARS to at risk communities.
C1 [Berry, Peter; Richardson, Gregory R. A.] Hlth Canada, Climate Change & Hlth Off, 269 Laurier Ave West, Ottawa, ON K1P 5J9, Canada.
C3 Health Canada
RP Berry, P (corresponding author), Hlth Canada, Climate Change & Hlth Off, 269 Laurier Ave West, Ottawa, ON K1P 5J9, Canada.
EM Peter.Berry@hc-sc.gc.ca; Gregory.Richardson@hc-sc.gc.ca
CR Adam-Poupart A, 2014, ENVIRON RES, V134, P339, DOI 10.1016/j.envres.2014.07.018
   ANDERSON CA, 1989, PSYCHOL BULL, V106, P74, DOI 10.1037/0033-2909.106.1.74
   [Anonymous], HEATSTROKE DEATHS CH
   [Anonymous], STAT CLIM GLOB ANAL
   [Anonymous], BR COLUMBIA MED J
   [Anonymous], 2013, SCIENCE
   [Anonymous], HUMAN HLTH CHANGING
   [Anonymous], EVALUATION HEATHEALT
   [Anonymous], 2012, City of Windsor Rep.
   [Anonymous], CIT WINDS CLIM CHANG
   [Anonymous], 2009, IMPR PUBL HLTH RESP
   [Anonymous], EPA400189001C US ENV
   [Anonymous], PLAN NAT CAN
   [Anonymous], AD CLIN CHANG ACT RE
   [Anonymous], 2014, NATL CLIMATE ASSESSM, DOI DOI 10.7930/J0J1012N
   [Anonymous], ENV FACTOR
   [Anonymous], 76 NATL CTR HLTH STA
   [Anonymous], CLIM CHANG HLTH AD B
   [Anonymous], HUMAN HLTH CHANGING
   [Anonymous], CLIMATE CHANGE 2013
   [Anonymous], 2012, HEAT AL RESP SYST PR
   [Anonymous], CLIMATE IMPACTS EURO
   [Anonymous], ASS VULN HLTH IMP EX
   [Anonymous], ADAPTER QUARTIERS BA
   [Anonymous], HUM HLTH CHANG CLIM
   [Anonymous], 2011, URB PHYS ENV HLTH IN
   [Anonymous], 2014, ALLERGY ASTHMA CLIN
   [Anonymous], RHYTHMS CRIMES WEATH
   [Anonymous], 2008, Reducing Urban Heat Islands: Compendium of Strategies
   [Anonymous], HELPING CANADIAN COM
   [Anonymous], EXTR HEAT EV EX
   [Anonymous], AN PUBL HLTH ASS C T
   [Anonymous], ASSINIBOINE REGIONAL
   [Anonymous], ASSESSMENT VULNERABI
   [Anonymous], INDIAN CITY OFFERS W
   [Anonymous], 2014, CHANGE ADAPTATION SO, DOI DOI 10.2478/CASS-2014-0009
   [Anonymous], MODELING AIR QUALITY
   [Anonymous], 2013, IMPROVING HERMAL COM
   [Anonymous], 2011, AD EXTR HEAT EV GUID
   [Anonymous], 2015, CLIM CHANG US BEN GL
   Bagcchi S, 2015, BMJ-BRIT MED J, V350, DOI 10.1136/bmj.h3047
   Bambrick HJ, 2011, ASIA-PAC J PUBLIC HE, V23, p67S, DOI 10.1177/1010539510391774
   Barriopedro D, 2011, SCIENCE, V332, P220, DOI 10.1126/science.1201224
   Bassil KL, 2008, CAN J PUBLIC HEALTH, V99, P339, DOI 10.1007/BF03403768
   Bassil KL, 2010, INT J ENV RES PUB HE, V7, P991, DOI 10.3390/ijerph7030991
   Benmarhnia T, 2014, ENVIRON HEALTH PERSP, V122, P1293, DOI 10.1289/ehp.1306954
   Berry P., 2014, Canada in a Changing Climate: Sector Perspectives on Impacts and Adaptation, P191
   Bobb JF, 2014, ENVIRON HEALTH PERSP, V122, P811, DOI 10.1289/ehp.1307392
   Bouchama A, 2007, ARCH INTERN MED, V167, P2170, DOI 10.1001/archinte.167.20.ira70009
   Brown RD., 1995, MICROCLIMATIC LANDSC
   Bustinza R, 2013, BMC PUBLIC HEALTH, V13, DOI 10.1186/1471-2458-13-56
   Casati B, 2013, J APPL METEOROL CLIM, V52, P2669, DOI 10.1175/JAMC-D-12-0341.1
   Cheng JJ, 2013, INT J PUBLIC HEALTH, V58, P305, DOI 10.1007/s00038-012-0422-5
   Chow WTL, 2012, PROF GEOGR, V64, P286, DOI 10.1080/00330124.2011.600225
   Clarke KL, 2012, INT J PUBLIC HEALTH, V57, P167, DOI 10.1007/s00038-011-0292-2
   Coley D, 2012, BUILD ENVIRON, V55, P159, DOI 10.1016/j.buildenv.2011.12.011
   Connor SJ, 2010, PROCEDIA ENVIRON SCI, V1, P27, DOI 10.1016/j.proenv.2010.09.004
   Costello A, 2009, LANCET, V373, P1693, DOI 10.1016/S0140-6736(09)60929-6
   Davis CE, 2013, NEW ENGL J MED, V369, P94, DOI [10.1056/NEJMra1109341, 10.1056/NEJMc1305749]
   Davis RE, 2002, CLIMATE RES, V22, P175, DOI 10.3354/cr022175
   Ebi K.L., 2013, PROTECTING HLTH CLIM
   Ebi KL, 2004, B AM METEOROL SOC, V85, P1067, DOI 10.1175/BAMS-85-8-1067
   Ebi KL, 2008, ENVIRON HEALTH PERSP, V116, P1449, DOI 10.1289/ehp.11463
   Ebi KL, 2008, AM J PREV MED, V35, P501, DOI 10.1016/j.amepre.2008.08.018
   Ebi KL, 2011, INT J ENV RES PUB HE, V8, P4582, DOI 10.3390/ijerph8124582
   Fouillet A, 2008, INT J EPIDEMIOL, V37, P309, DOI 10.1093/ije/dym253
   Fouillet A, 2006, INT ARCH OCC ENV HEA, V80, P16, DOI 10.1007/s00420-006-0089-4
   Frumkin H, 2008, AM J PUBLIC HEALTH, V98, P435, DOI 10.2105/AJPH.2007.119362
   Gamble JL, 2013, ENVIRON HEALTH PERSP, V121, P15, DOI [10.1289/ehp.1205223, 10.1289/ehp.121-a15]
   GIVONI B, 1992, ENERG BUILDINGS, V18, P11, DOI 10.1016/0378-7788(92)90047-K
   Gosselin P, 2011, J MULTIDISCIP HEALTH, V4, P337, DOI 10.2147/JMDH.S14294
   Greer A, 2008, CAN MED ASSOC J, V178, P715, DOI 10.1503/cmaj.081325
   Gronlund CJ, 2014, ENVIRON HEALTH PERSP, V122, P1187, DOI 10.1289/ehp.1206132
   Guenther R., 2014, Primary Protection: Enhancing Health Care Resiliency for a Changing Climate
   Haines A, 2014, LANCET, V384, P1073, DOI 10.1016/S0140-6736(14)61659-7
   Haines A, 2009, LANCET, V374, P2104, DOI 10.1016/S0140-6736(09)61759-1
   Hansen A, 2008, ENVIRON HEALTH PERSP, V116, P1369, DOI 10.1289/ehp.11339
   Harlan SL, 2006, SOC SCI MED, V63, P2847, DOI 10.1016/j.socscimed.2006.07.030
   Health Canada, 2011, COMM HLTH RISKS EXTR
   Henderson SB, 2013, HEALTH PLACE, V23, P48, DOI 10.1016/j.healthplace.2013.04.005
   Hess JJ, 2014, ENVIRON HEALTH PERSP, V122, P1209, DOI 10.1289/ehp.1306796
   Holmes MJ, 2007, ENERG BUILDINGS, V39, P802, DOI 10.1016/j.enbuild.2007.02.009
   Huang CR, 2011, AM J PREV MED, V40, P183, DOI 10.1016/j.amepre.2010.10.025
   Hutton G, 2014, ENVIRON HEALTH INSIG, V8, DOI 10.4137/EHI.S16486
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Jendritzky G, 2009, GLOBAL HEALTH ACTION, V2, P10, DOI 10.3402/gha.v2i0.2005
   Johnson DP, 2014, GEOCARTO INT, V29, P65, DOI 10.1080/10106049.2013.799718
   Kenny GP, 2010, CAN MED ASSOC J, V182, P1053, DOI 10.1503/cmaj.081050
   Kenward A., 2014, Summer in the City: Hot and Getting Hotter
   Kim Y, 2016, ENVIRON HEALTH PERSP, V124, P75, DOI 10.1289/ehp.1409392
   Kjellstrom T, 2016, ASIA-PAC J PUBLIC HE, V28, p28S, DOI 10.1177/1010539514568711
   Kjellstrom T, 2009, GLOBAL HEALTH ACTION, V2, DOI [10.3402/gha.v2i0.1958, 10.3402/gha.v2i0.2047]
   Klinenberg E., 2015, Heat Wave: A Social Autopsy of Disaster in Chicago
   Knowlton K, 2014, INT J ENV RES PUB HE, V11, P3473, DOI 10.3390/ijerph110403473
   Kovats RS, 2008, ANNU REV PUBL HEALTH, V29, P41, DOI 10.1146/annurev.publhealth.29.020907.090843
   Kovats RS, 2006, EUR J PUBLIC HEALTH, V16, P592, DOI 10.1093/eurpub/ckl049
   Lowe D, 2011, INT J ENV RES PUB HE, V8, P4623, DOI 10.3390/ijerph8124623
   Luber G, 2008, AM J PREV MED, V35, P429, DOI 10.1016/j.amepre.2008.08.021
   Madrigano J, 2015, ENVIRON HEALTH-GLOB, V14, DOI 10.1186/1476-069X-14-3
   Maibach EW, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0002838
   Martin SL, 2012, INT J BIOMETEOROL, V56, P605, DOI 10.1007/s00484-011-0449-y
   Matthies F., 2008, HEAT HLTH ACTION PLA
   Mavrogianni A, 2012, BUILD ENVIRON, V55, P117, DOI 10.1016/j.buildenv.2011.12.003
   McCormack GR, 2010, HEALTH PLACE, V16, P712, DOI 10.1016/j.healthplace.2010.03.003
   McGeehin MA, 2001, ENVIRON HEALTH PERSP, V109, P185, DOI 10.2307/3435008
   McGregor G.R., 2015, Heatwaves and health: guidance on warning-system development
   McGregor G R., 2007, The social impacts of heat waves
   McLaren C, 2005, PEDIATRICS, V116, pE109, DOI 10.1542/peds.2004-2368
   McMichael A. J., 2009, Commonwealth Health Ministers' Update 2009, P11
   McMichael AJ, 2006, LANCET, V367, P859, DOI 10.1016/S0140-6736(06)68079-3
   McMichael AJ, 2010, P NATL ACAD SCI USA, V107, P9483, DOI 10.1073/pnas.1004894107
   Myers SS, 2009, ANNU REV ENV RESOUR, V34, P223, DOI 10.1146/annurev.environ.033108.102650
   Nikolopoulou M, 2006, BUILD ENVIRON, V41, P1455, DOI 10.1016/j.buildenv.2005.05.031
   O'Neill MS, 2009, J OCCUP ENVIRON MED, V51, P13, DOI 10.1097/JOM.0b013e318173e122
   Oke T.R., 1997, Applied Climatology: Principles Practices, P273
   Ormandy D, 2012, ENERG POLICY, V49, P116, DOI 10.1016/j.enpol.2011.09.003
   Pang T, 2015, LANCET, V385, P395, DOI 10.1016/S0140-6736(14)62346-1
   Panic M, 2013, INT J ENV RES PUB HE, V10, P7083, DOI 10.3390/ijerph10127083
   Paterson J, 2014, INT J ENV RES PUB HE, V11, P13097, DOI 10.3390/ijerph111213097
   Patz JA, 2005, NATURE, V438, P310, DOI 10.1038/nature04188
   Patz JA, 2014, JAMA-J AM MED ASSOC, V312, P1565, DOI 10.1001/jama.2014.13186
   Peng RD, 2011, ENVIRON HEALTH PERSP, V119, P701, DOI 10.1289/ehp.1002430
   Petkova EP, 2013, INT J ENV RES PUB HE, V10, P6734, DOI 10.3390/ijerph10126734
   Proust K, 2012, INT J ENV RES PUB HE, V9, P2134, DOI 10.3390/ijerph9062134
   Reid CE, 2009, ENVIRON HEALTH PERSP, V117, P1730, DOI 10.1289/ehp.0900683
   Rizwan AM, 2008, J ENVIRON SCI, V20, P120, DOI 10.1016/S1001-0742(08)60019-4
   Robine JM, 2008, CR BIOL, V331, P171, DOI 10.1016/j.crvi.2007.12.001
   Rudolph L., 2015, CLIMATE CHANGE HLTH
   Santamouris M, 2011, SOL ENERGY, V85, P3085, DOI 10.1016/j.solener.2010.12.023
   Santamouris M., 1996, PASSIVE COOLING BUIL
   Schenck P., 2010, CLIMATE CHANGE INDOO
   Semenza JC, 2011, ADV GLOB CHANGE RES, V42, P143, DOI 10.1007/978-94-007-0567-8_10
   Semenza JC, 1996, NEW ENGL J MED, V335, P84, DOI 10.1056/NEJM199607113350203
   Semenzato P, 2011, FORESTS, TREES AND HUMAN HEALTH, P245, DOI 10.1007/978-90-481-9806-1_9
   Sheridan SC, 2007, INT J BIOMETEOROL, V52, P3, DOI 10.1007/s00484-006-0052-9
   Smith KR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P709
   Snover A.K., 2007, PREPARING CLIMATE CH
   Stone B, 2010, ENVIRON HEALTH PERSP, V118, P1425, DOI 10.1289/ehp.0901879
   Stone B, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0100852
   Stott PA, 2014, B AM METEOROL SOC, V95, pS1
   Toloo G, 2013, ENVIRON HEALTH-GLOB, V12, DOI 10.1186/1476-069X-12-27
   Tyrvainen L., 2005, URBAN FORESTS TREES, P81
   Vanos JK, 2015, ENVIRON INT, V76, P1, DOI 10.1016/j.envint.2014.11.016
   Vardoulakis S, 2014, ENVIRON HEALTH PERSP, V122, P1285, DOI 10.1289/ehp.1307524
   Watts N, 2015, LANCET, V386, P1861, DOI 10.1016/S0140-6736(15)60854-6
   White-Newsome JL, 2012, ENVIRON RES, V112, P20, DOI 10.1016/j.envres.2011.10.008
   Wilhelmi OV, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014021
   World Health Organization, 2014, QUANT RISK ASS EFF C
   Yardley J, 2011, GLOBAL ENVIRON CHANG, V21, P670, DOI 10.1016/j.gloenvcha.2010.11.010
   Younger M, 2008, AM J PREV MED, V35, P517, DOI 10.1016/j.amepre.2008.08.017
NR 150
TC 5
Z9 6
U1 0
U2 8
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 2367-3397
EI 2367-3400
BN 978-3-319-30626-1; 978-3-319-30624-7
J9 EXTREM WEATHER SOC
PY 2016
BP 351
EP 388
DI 10.1007/978-3-319-30626-1_15
D2 10.1007/978-3-319-30626-1
PG 38
WC Environmental Studies; Public, Environmental & Occupational Health
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health
GA BN3CX
UT WOS:000478777400016
DA 2025-01-10
ER

PT J
AU Garrote, L
   Iglesias, A
   Granados, A
   Mediero, L
   Martin-Carrasco, F
AF Garrote, Luis
   Iglesias, Ana
   Granados, Alfredo
   Mediero, Luis
   Martin-Carrasco, Francisco
TI Quantitative Assessment of Climate Change Vulnerability of Irrigation
   Demands in Mediterranean Europe
SO WATER RESOURCES MANAGEMENT
LA English
DT Article
DE Water resources management; Climate change adaptation; Water
   availability
ID MAP
AB This paper presents an analysis of water resources management under climate change in Southern European River Basin Districts. The analysis is based on the Water Availability and Adaptation Policy Analysis (WAAPA) model, which focuses on the quantitative evaluation of maximum potential water withdrawal for different types of demands. The Water Availability and Adaptation Policy Analysis model performs the simulation of water resources systems at the monthly time scale and allows the estimation of the demand-reliability curve in every subbasin of the river network. Over sixty River Basin Districts of Southern Europe have been analyzed, taking basic information from publicly available databases: basin topology from the Hydro1K database, average runoff from the University of New Hampshire Global Runoff Data Centre (GRDC) composite runoff field, population from the Global Rural-urban Mapping Project (GRUMP) and irrigation area from the Global Map of Irrigated Area dataset. Streamflow monthly time series were obtained from the results of the ENSEMBLES project in four climate scenarios for time horizon 2070-2100. Climate change vulnerability of irrigation demands is estimated from changes in maximum potential water withdrawals for irrigation in current and future scenarios. Maximum potential water withdrawal for irrigation was computed as the largest value of irrigation demand that could be supplied with a given reliability requirement once the existing urban demand is adequately satisfied. The results show significant regional disparities in vulnerability to climate change in the irrigation sector across Europe. The greatest vulnerabilities have been obtained for Southwest Europe (Iberian Peninsula) and some basins in Italy and Greece.
C1 [Garrote, Luis; Granados, Alfredo; Mediero, Luis; Martin-Carrasco, Francisco] Tech Univ Madrid, Dept Hydraul & Energy Engn, Madrid, Spain.
   [Iglesias, Ana] Tech Univ Madrid, Dept Econ & Agr Social Sci, Madrid, Spain.
C3 Universidad Politecnica de Madrid; Universidad Politecnica de Madrid
RP Garrote, L (corresponding author), Tech Univ Madrid, Dept Hydraul & Energy Engn, Madrid, Spain.
EM l.garrote@upm.es
RI Granados, Alfredo/AAA-6648-2019; Iglesias, Ana/AEN-3261-2022; Garrote,
   Luis/B-5925-2013; Mediero, Luis/K-6430-2014
OI Granados, Alfredo/0000-0002-9369-9281; Garrote,
   Luis/0000-0001-9087-3638; Mediero, Luis/0000-0002-9346-6592;
   Martin-Carrasco, Francisco J./0000-0001-6960-293X
FU European Union [308337, 505539]; Spanish Ministry of the Environment,
   Rural and Marine affairs [200800050084350]; CYTED [410 AC0399]
FX The authors wish to acknowledge the financial support received from the
   European Union through the Project BASE (Bottom Up Climate Adaptation
   Strategies Towards a Sustainable Europe, Grant Agreement No. 308337),
   from the Spanish Ministry of the Environment, Rural and Marine affairs
   through the ARCO project (200800050084350), and from CYTED through the
   VIAGUA action (410 AC0399). The ENSEMBLES data used in this work was
   funded by the EU FP6 Integrated Project ENSEMBLES (contract no 505539)
   whose support is gratefully acknowledged.
CR [Anonymous], P 6 EWRA INT S WAT E
   [Anonymous], GRIDD POP WORLD GPW
   Aus derBeek., 2010, ADV GEOSCI, V27, P79
   Correia FN, 1999, WATER INT, V24, P22, DOI 10.1080/02508069908692130
   Estrela T., 2000, AGUAS CONTINENTALES
   FAO, 2014, MAIN AQUASTAT COUNTR
   Fekete BM, 2004, GLOBAL BIOGEOCHEMICA, V16, P1042
   Hewitt C.D., 2004, EOS T AM GEOPHYS UN, V85, P566, DOI [10.1029/2004EO520005, DOI 10.1029/2004EO520005]
   ICOLD, 2004, WORLD REG DAMS
   Iglesias A, 2007, WATER RESOUR MANAG, V21, P775, DOI 10.1007/s11269-006-9111-6
   *MIMAM, 2000, LIBR BLANC AG ESP
   Pahl-Wostl C, 2013, CURR OPIN ENV SUST, V5, P341, DOI 10.1016/j.cosust.2013.06.009
   Siebert S, 2005, HYDROL EARTH SYST SC, V9, P535, DOI 10.5194/hess-9-535-2005
   WRI, 1997, LONG RANG STUD WAT S
   Wriedt G., 2008, Water Requirements for Irrigation in the European Union
   Wriedt G, 2009, AGR WATER MANAGE, V96, P771, DOI 10.1016/j.agwat.2008.10.012
   Wriedt G, 2009, J HYDROL, V373, P527, DOI 10.1016/j.jhydrol.2009.05.018
NR 17
TC 66
Z9 68
U1 2
U2 69
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0920-4741
EI 1573-1650
J9 WATER RESOUR MANAG
JI Water Resour. Manag.
PD JAN
PY 2015
VL 29
IS 2
SI SI
BP 325
EP 338
DI 10.1007/s11269-014-0736-6
PG 14
WC Engineering, Civil; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Water Resources
GA AY2HQ
UT WOS:000347410000008
DA 2025-01-10
ER

PT J
AU van Pelt, SC
   Swart, RJ
AF van Pelt, Saskia C.
   Swart, Rob J.
TI Climate Change Risk Management in Transnational River Basins: The Rhine
SO WATER RESOURCES MANAGEMENT
LA English
DT Article; Proceedings Paper
CT Amsterdam Conference on the Human Dimensions of Global Environmental
   Change
CY 2009
CL Amsterdam, NETHERLANDS
DE Climate change adaptation; Multi-level governance; River Rhine;
   Science-policy interface; Climate change uncertainties
ID IMPACT; MODEL; ADAPTATION; UNCERTAINTY; TEMPERATURE; POLICY; FLOOD;
   PRECIPITATION; CHALLENGES; SCENARIOS
AB Climate change is likely to have an impact on the discharge of the European river Rhine. To base adaptation strategies, to deal with these changing river discharges, on the best scientific and technical knowledge, it is important to understand potential climate impacts, as well as the capacity of social and natural systems to adapt. Both are characterized by large uncertainties, at different scales, that range from individual to local to regional to international. This review paper addresses three challenges. Dealing with climate change uncertainties for the development of adaptation strategies is the first challenge. We find that communication of uncertainties in support of river basin adaptation planning generally only covers a small part of the spectrum of prevailing uncertainties, e.g. by using only one model or scenario and one approach to deal with the uncertainties. The second challenge identified in this paper is to overcome the current mismatch of supply of scientific knowledge by scientists and the demand by policy makers. Early experiences with 'assess-risk-of-policy' approaches analysis of options, starting from the resilience of development plans, suggests that this approach better responds to policy makers' needs. The third challenge is to adequately capture the transnational character of the Rhine river basin in research and policy. Development and implementation of adaptation options derived from integrated analysis at the full river basin level, rather than within the boundaries of the riparian countries, can offer new opportunities, but will also meet many practical challenges.
C1 [van Pelt, Saskia C.] Univ Wageningen & Res Ctr, Earth Syst Sci & Climate Change Grp, Wageningen, Netherlands.
   [Swart, Rob J.] Univ Wageningen & Res Ctr, Alterra, Wageningen, Netherlands.
C3 Wageningen University & Research; Wageningen University & Research
RP van Pelt, SC (corresponding author), Univ Wageningen & Res Ctr, Earth Syst Sci & Climate Change Grp, Wageningen, Netherlands.
EM saskia.vanpelt@wur.nl
OI Swart, Rob/0000-0002-1563-1150
CR Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Aerts J., 2004, CLIMATE CHANGE CONTR
   Aerts Jeroen., 2009, Climate Change Adaptation in the Water Sector, P87
   Alkhaled A, 2007, AM SOC CIVIL ENG
   [Anonymous], OCEAN OBS
   Arnell NW, 2006, CLIMATIC CHANGE, V78, P227, DOI 10.1007/s10584-006-9067-9
   Becker G, 2007, WATER SCI TECHNOL, V56, P125, DOI 10.2166/wst.2007.544
   Beniston M, 2007, CLIMATIC CHANGE, V81, P71, DOI 10.1007/s10584-006-9226-z
   Buishand TA, 2001, WATER RESOUR RES, V37, P2761, DOI 10.1029/2001WR000291
   Butts MB, 2004, J HYDROL, V298, P242, DOI 10.1016/j.jhydrol.2004.03.042
   Castree Noel., 2001, Social nature, P208
   Cox P, 2007, SCIENCE, V317, P207, DOI 10.1126/science.1145956
   Cumming GS, 2006, ECOL SOC, V11
   de Wit M, 2007, GENERATOR RAINFALL D
   DeltaCommittee, 2008, DELT COMM REP FIN RE
   Dessai S, 2004, CLIM POLICY, V4, P107
   Dessai S, 2003, 3440 TYND CTR CLIM C, P40
   Dessai S, 2005, ROBUST ADAPTATION DE
   Dessai S., 2007, UNCERTAINTY CLIMATE
   Dessai S., 2009, EOS T AGU, V90, P13
   Dieperink C, 2000, WATER INT, V25, P347, DOI 10.1080/02508060008686842
   Dieperink C., 1997, TDRI Quarterly Review, V12, P27
   EU, 2009, 24 EU EUR COMM
   EU, 2009, WHITEPAPER AD CLIM C
   Fink A.H., 2004, Weather, V59, P209, DOI [DOI 10.1256/WEA.73.04, 10.1256/wea.73.04]
   Fowler HJ, 2007, INT J CLIMATOL, V27, P1547, DOI 10.1002/joc.1556
   Gawith M, 2009, GLOBAL ENVIRON CHANG, V19, P113, DOI 10.1016/j.gloenvcha.2008.09.005
   Giorgi F, 2005, CLIMATIC CHANGE, V73, P239, DOI 10.1007/a10584-005-6857-4
   Gorgen K., 2010, Assessment of climate change impacts on discharge in the Rhine River Basin: results of the RheinBlick2050 project
   Graham LP, 2007, CLIMATIC CHANGE, V81, P97, DOI 10.1007/s10584-006-9217-0
   Grey D, 2003, WATER SCI TECHNOL, V47, P91, DOI 10.2166/wst.2003.0365
   Hall J, 2007, HYDROL PROCESS, V21
   Headache classification Committee of the International Headache Society (IHS), 2018, Cephalalgia, V38, P1, DOI [10.1177/0333102417738202, DOI 10.1177/0333102417738202, DOI 10.2833/9937]
   Hurkmans R, 2010, J CLIMATE, V23, P679, DOI 10.1175/2009JCLI3066.1
   ICPR, 2001, RHEIN ATL 2001
   ICPR, 2009, AN STAT KNOWL CLIM C
   Ivey JL, 2004, ENVIRON MANAGE, V33, P36, DOI 10.1007/s00267-003-0014-5
   Jacob D., 2009, Climate Change Adaptation in the Water Sector, P23
   Jasper K, 2004, CLIM RES, V26, P113, DOI 10.3354/cr026113
   Jol A, 2009, IMPACTS EUROPES CHAN
   Juntti M, 2009, ENVIRON SCI POLICY, V12, P207, DOI 10.1016/j.envsci.2008.12.007
   Kabat P, 2009, NAT GEOSCI, V2, P450, DOI 10.1038/ngeo572
   Kandlikar M, 2005, CR GEOSCI, V337, P443, DOI 10.1016/j.crte.2004.10.010
   Kastens B, 2008, CONSEQUENCE IN PRESS
   Klein H, 2004, WATER CLIMATE FOOD E, P58
   Klemes V, 2000, J HYDROL ENG, V5, P232, DOI 10.1061/(ASCE)1084-0699(2000)5:3(232)
   Knutti R, 2010, J CLIMATE, V23, P2739, DOI 10.1175/2009JCLI3361.1
   Kroekenstoel D, 2005, TRANSBOUNDARY EFFECT
   Krysanova V, 2010, WATER RESOUR MANAG, P1
   KWADIJK J, 1995, CLIMATIC CHANGE, V30, P397, DOI 10.1007/BF01093854
   Kwadijk J., 2008, De klimaatbestendigheid van Nederland Waterland: Verkenning van knikpunten in beheer en beleid voor het hoofdwatersysteem
   Kwadijk JCJ, 2010, WIRES CLIM CHANGE, V1, P729, DOI 10.1002/wcc.64
   Lammersen R., 2004, Grensoverschrijdende effecten van extreem hoogwater op de Niederrhein
   Leander R, 2008, J HYDROL, V351, P331, DOI 10.1016/j.jhydrol.2007.12.020
   Lehner B, 2006, CLIMATIC CHANGE, V75, P273, DOI 10.1007/s10584-006-6338-4
   Leipprand A, 2007, IMPACTS CLIMATE CHAN
   Lempert R, 2004, CLIMATIC CHANGE, V65, P1, DOI 10.1023/B:CLIM.0000037561.75281.b3
   Lempert R, 2006, MANAGEMENT SCI, V52
   Lempert RJ, 2007, RISK ANAL, V27, P1009, DOI 10.1111/j.1539-6924.2007.00940.x
   Lenderink G, 2007, CLIM DYNAM, V29, P157, DOI 10.1007/s00382-007-0227-z
   Lenderink G, 2007, HYDROL EARTH SYST SC, V11, P1143
   Linde AHT, 2010, WATER RESOUR RES, V46, DOI 10.1029/2009WR007707
   Lopez A, 2009, WATER RESOUR RES, V45, DOI 10.1029/2008WR007499
   Ma J, 2008, WATER RESOUR MANAG, V22, P1069, DOI 10.1007/s11269-007-9211-y
   Marks G., 2004, MULTILEVEL GOVERNANC, P15, DOI DOI 10.1093/0199259259.003.0002
   Menzel L, 2006, NAT HAZARDS, V38, P45, DOI 10.1007/s11069-005-8599-z
   Middelkoop H, 2001, CLIMATIC CHANGE, V49, P105, DOI 10.1023/A:1010784727448
   Middelkoop H., 2000, UNESCO WOTRO INT WOR
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Murphy J, 2010, CLIMATE CHANGE PROJE, P06
   Murphy JM, 2004, NATURE, V430, P768, DOI 10.1038/nature02771
   Palmer MA, 2009, ENVIRON MANAGE, V44, P1053, DOI 10.1007/s00267-009-9329-1
   Patt A, 2009, NATO SCI PEACE SECUR, P231, DOI 10.1007/978-90-481-2636-1_10
   Pielke J.R., 2000, Prediction: Science, Decision Making, and the Future of Nature, P361
   Pierre J., 2000, DEBATING GOVERNANCE, P1
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Prudhomme C, 2009, CLIMATIC CHANGE, V93, P177, DOI 10.1007/s10584-008-9464-3
   Raadgever G., 2005, Transboundary river basin management regimes: The Rhine basin case study, Report of the NeWater project
   Sarewitz D, 2007, ENVIRON SCI POLICY, V10, P5, DOI 10.1016/j.envsci.2006.10.001
   Schär C, 2004, NATURE, V427, P332, DOI 10.1038/nature02300
   Shabalova MV, 2003, CLIMATE RES, V23, P233, DOI 10.3354/cr023233
   Steenhuisen B., 2006, Bestuurswetenschappen, V60
   Swart R., 2009, Europe Adapts to climate change: Comparing national adaptation strategies
   Turnpenny J, 2009, ENVIRON SCI POLICY, V12, P347, DOI 10.1016/j.envsci.2009.01.004
   Van Ast J.A., 2000, INTERACTIEF WATERMAN
   Van den Hurk B., 2006, KNMI Climate Change scenarios for 2006
   van der Sluijs J, 2005, WATER SCI TECHNOL, V52, P87, DOI 10.2166/wst.2005.0155
   van Deursen W.P.A., 1993, IANS Publication, 211. Proceedings de la Conferencia de VIena: Applications of Geographic Information Systems In Hydrology and Water Resources Management, P507
   van Pelt S, 2009, HYDROL EARTH SYST SC, V6, P4589
   VROM, 2007, NAT PROGR CLIM AD SP
   Wiering M, 2010, WATER RESOUR MANAG, V24, P2647, DOI 10.1007/s11269-009-9572-5
   Wigley T, 2003, SCI TECHNOLOGY   SPR
   Wilby R, 2009, INT J CLIMATOL
   Wilby RL, 2010, WEATHER, V65, P180, DOI 10.1002/wea.543
NR 94
TC 32
Z9 36
U1 2
U2 62
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0920-4741
EI 1573-1650
J9 WATER RESOUR MANAG
JI Water Resour. Manag.
PD NOV
PY 2011
VL 25
IS 14
BP 3837
EP 3861
DI 10.1007/s11269-011-9891-1
PG 25
WC Engineering, Civil; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI); Conference Proceedings Citation Index - Science (CPCI-S)
SC Engineering; Water Resources
GA 840XH
UT WOS:000296474900017
OA hybrid
DA 2025-01-10
ER

PT J
AU Liang, C
AF Liang, Christine
CA CityCLIM Consortium
TI Exploring the Spectrum of Citizen Engagement through urban Climate
   Action
SO ERCIM NEWS
LA English
DT Article
AB Cities are a major contributor of greenhouse gases (75% of global CO2 emissions, according to UNEP [1]) and are highly affected by climate change events such as heat-waves. However, cities also have the resources and power to be catalysts for change and can play a vital role in climate action. The CityCLIM project mobilises citizens with a variety of methods to raise awareness, contribute data and promote climate adaptation solutions.
C1 [Liang, Christine] Helmholtz Ctr Environm Res, Leipzig, Germany.
C3 Helmholtz Association; Helmholtz Center for Environmental Research (UFZ)
RP Liang, C (corresponding author), Helmholtz Ctr Environm Res, Leipzig, Germany.
EM christine.liang@ufz.de
CR Constantinou S., 2023, 24th IEEE MDM, P10
   tinyurl.com, Statista-IoT and non-IoT connections worldwide 2010-2025
   tinyurl.com, Home energy management system market by hardware, by communication technology and by software and service
   UNEP (United Nations Environment Programme), Cities and climate change
NR 4
TC 0
Z9 0
U1 0
U2 0
PU EUROPEAN RESEARCH CONSORTIUM INFORMATICS & MATHEMATICS
PI SOPHIA ANTIPOLIS CEDEX
PA 2004, ROUTE LUCIOLES, BP 93, SOPHIA ANTIPOLIS CEDEX, 06902, FRANCE
SN 0926-4981
EI 1564-0094
J9 ERCIM NEWS
JI ERCIM News
PD OCT
PY 2023
IS 135
BP 31
EP 32
PG 2
WC Computer Science, Interdisciplinary Applications
WE Emerging Sources Citation Index (ESCI)
SC Computer Science
GA CS1D5
UT WOS:001127130300019
DA 2025-01-10
ER

PT J
AU Lasky, JR
   Marais, DLD
   Lowry, DB
   Povolotskaya, I
   McKay, JK
   Richards, JH
   Keitt, TH
   Juenger, TE
AF Lasky, Jesse R.
   Marais, David L. Des
   Lowry, David B.
   Povolotskaya, Inna
   McKay, John K.
   Richards, James H.
   Keitt, Timothy H.
   Juenger, Thomas E.
TI Natural Variation in Abiotic Stress Responsive Gene Expression and Local
   Adaptation to Climate in <i>Arabidopsis thaliana</i>
SO MOLECULAR BIOLOGY AND EVOLUTION
LA English
DT Article
DE abiotic stress; landscape genomics; phenotypic plasticity; regulatory
   evolution; transcriptome
ID CIS-REGULATORY-ELEMENTS; GLOBAL LAND AREAS; THREESPINE STICKLEBACKS;
   PHENOTYPIC PLASTICITY; TRANSCRIPTION FACTORS; ADAPTIVE EVOLUTION; PELVIC
   REDUCTION; ACTING ELEMENTS; FLOWERING TIME; GENOME
AB Gene expression varies widely in natural populations, yet the proximate and ultimate causes of this variation are poorly known. Understanding how variation in gene expression affects abiotic stress tolerance, fitness, and adaptation is central to the field of evolutionary genetics. We tested the hypothesis that genes with natural genetic variation in their expression responses to abiotic stress are likely to be involved in local adaptation to climate in Arabidopsis thaliana. Specifically, we compared genes with consistent expression responses to environmental stress (expression stress responsive, "eSR") to genes with genetically variable responses to abiotic stress (expression genotype-by-environment interaction, "eGEI"). We found that on average genes that exhibited eGEI in response to drought or cold had greater polymorphism in promoter regions and stronger associations with climate than those of eSR genes or genomic controls. We also found that transcription factor binding sites known to respond to environmental stressors, especially abscisic acid responsive elements, showed significantly higher polymorphism in drought eGEI genes in comparison to eSR genes. By contrast, eSR genes tended to exhibit relatively greater pairwise haplotype sharing, lower promoter diversity, and fewer nonsynonymous polymorphisms, suggesting purifying selection or selective sweeps. Our results indicate that cis-regulatory evolution and genetic variation in stress responsive gene expression may be important mechanisms of local adaptation to climatic selective gradients.
C1 [Lasky, Jesse R.; Marais, David L. Des; Lowry, David B.; Keitt, Timothy H.; Juenger, Thomas E.] Univ Texas Austin, Dept Integrat Biol, Austin, TX 78712 USA.
   [Lasky, Jesse R.] Columbia Univ, Earth Inst, New York, NY 10027 USA.
   [Lasky, Jesse R.] Columbia Univ, Dept Ecol Evolut & Environm Biol, New York, NY 10027 USA.
   [Povolotskaya, Inna] Ctr Genom Regulat, Bioinformat & Genom Program, Barcelona, Spain.
   [McKay, John K.] Colorado State Univ, Ft Collins, CO 80523 USA.
   [Richards, James H.] Univ Calif Davis, Davis, CA 95616 USA.
C3 University of Texas System; University of Texas Austin; Columbia
   University; Columbia University; Barcelona Institute of Science &
   Technology; Pompeu Fabra University; Centre de Regulacio Genomica (CRG);
   Colorado State University; University of California System; University
   of California Davis
RP Lasky, JR (corresponding author), Univ Texas Austin, Dept Integrat Biol, Austin, TX 78712 USA.
EM jl3985@columbia.edu; tjuenger@austin.texas.edu
RI Keitt, Timothy/AAF-9787-2021; McKay, John/K-3875-2012
OI McKay, John/0000-0003-4311-5513; Povolotskaya, Inna/0000-0001-6621-232X
FU National Science Foundation [IOS-0922457, DEB-0618347, DEB-0618294,
   DEB-0618302]; United States Department of Agriculture NIFA-AFRI
   postdoctoral fellowships [2011-67012-30696, 2011-67012-30663]; Division
   Of Environmental Biology; Direct For Biological Sciences [1022196]
   Funding Source: National Science Foundation; Division Of Integrative
   Organismal Systems; Direct For Biological Sciences [0922457] Funding
   Source: National Science Foundation; NIFA [687448, 2011-67012-30696,
   2011-67012-30663, 579307] Funding Source: Federal RePORTER
FX The authors thank Geoffrey Morris, Saunak Sen, and several anonymous
   reviewers for helpful comments. They also thank the Weijia Xu and the
   Texas Advanced Computing Center for assistance with computing. This work
   was supported by the National Science Foundation, IOS-0922457 to T.E.J.
   and T. H. K, DEB-0618347 to T.E.J., DEB-0618294 to J.H.R., and
   DEB-0618302 to J.K.M. and United States Department of Agriculture
   NIFA-AFRI postdoctoral fellowships 2011-67012-30696 to D. B. L. and
   2011-67012-30663 to D.L.D.
CR Ågren J, 2013, P NATL ACAD SCI USA, V110, P21077, DOI 10.1073/pnas.1316773110
   Ågren J, 2012, NEW PHYTOL, V194, P1112, DOI 10.1111/j.1469-8137.2012.04112.x
   Alpert P, 2002, EVOL ECOL, V16, P285, DOI 10.1023/A:1019684612767
   Anastasio AE, 2011, PLANT J, V67, P554, DOI 10.1111/j.1365-313X.2011.04606.x
   [Anonymous], ANN REV ECOL EVOL SY
   Atwell S, 2010, NATURE, V465, P627, DOI 10.1038/nature08800
   Bachtrog D, 2006, GENETICS, V174, P2045, DOI 10.1534/genetics.106.062760
   BAKER SS, 1994, PLANT MOL BIOL, V24, P701, DOI 10.1007/BF00029852
   Banta JA, 2012, ECOL LETT, V15, P769, DOI 10.1111/j.1461-0248.2012.01796.x
   Blekhman R, 2008, PLOS GENET, V4, DOI 10.1371/journal.pgen.1000271
   Cao J, 2011, NAT GENET, V43, P956, DOI 10.1038/ng.911
   Chaves MM, 2003, FUNCT PLANT BIOL, V30, P239, DOI 10.1071/FP02076
   Dai MH, 2005, NUCLEIC ACIDS RES, V33, DOI 10.1093/nar/gni179
   Des Marais DL, 2012, PLANT CELL, V24, P893, DOI 10.1105/tpc.112.096180
   Donohue K, 2005, NEW PHYTOL, V166, P83, DOI 10.1111/j.1469-8137.2005.01357.x
   Ferea TL, 1999, P NATL ACAD SCI USA, V96, P9721, DOI 10.1073/pnas.96.17.9721
   Fournier-Level A, 2011, SCIENCE, V334, P86, DOI 10.1126/science.1209271
   Franks SJ, 2007, P NATL ACAD SCI USA, V104, P1278, DOI 10.1073/pnas.0608379104
   Fujita Y, 2005, PLANT CELL, V17, P3470, DOI 10.1105/tpc.105.035659
   Fujita Y, 2013, PHYSIOL PLANTARUM, V147, P15, DOI 10.1111/j.1399-3054.2012.01635.x
   FUTUYMA DJ, 1988, ANNU REV ECOL SYST, V19, P207, DOI 10.1146/annurev.es.19.110188.001231
   Geisler M, 2006, PLANT J, V45, P384, DOI 10.1111/j.1365-313X.2005.02634.x
   Ghalambor CK, 2007, FUNCT ECOL, V21, P394, DOI 10.1111/j.1365-2435.2007.01283.x
   Gibson G, 2005, TRENDS GENET, V21, P616, DOI 10.1016/j.tig.2005.08.010
   Guillot G, 2013, METHODS ECOL EVOL, V4, P336, DOI 10.1111/2041-210x.12018
   Hamblin MT, 2002, AM J HUM GENET, V70, P369, DOI 10.1086/338628
   Hancock AM, 2011, SCIENCE, V334, P83, DOI 10.1126/science.1209244
   Hannah MA, 2006, PLANT PHYSIOL, V142, P98, DOI 10.1104/pp.106.081141
   Hereford J, 2009, AM NAT, V173, P579, DOI 10.1086/597611
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hodgins-Davis A, 2009, TRENDS ECOL EVOL, V24, P649, DOI 10.1016/j.tree.2009.06.011
   Hoekstra HE, 2007, EVOLUTION, V61, P995, DOI 10.1111/j.1558-5646.2007.00105.x
   Hoffmann MH, 2002, J BIOGEOGR, V29, P125, DOI 10.1046/j.1365-2699.2002.00647.x
   Horton MW, 2012, NAT GENET, V44, P212, DOI 10.1038/ng.1042
   Hughes TR, 2000, CELL, V102, P109, DOI 10.1016/S0092-8674(00)00015-5
   Irizarry RA, 2003, BIOSTATISTICS, V4, P249, DOI 10.1093/biostatistics/4.2.249
   Jansen RC, 2001, TRENDS GENET, V17, P388, DOI 10.1016/S0168-9525(01)02310-1
   Jones FC, 2012, NATURE, V484, P55, DOI 10.1038/nature10944
   Kalnay E, 1996, B AM METEOROL SOC, V77, P437, DOI 10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2
   Kang HM, 2008, GENETICS, V178, P1709, DOI 10.1534/genetics.107.080101
   Kawecki TJ, 2004, ECOL LETT, V7, P1225, DOI 10.1111/j.1461-0248.2004.00684.x
   Kesari R, 2012, P NATL ACAD SCI USA, V109, P9197, DOI 10.1073/pnas.1203433109
   KING MC, 1975, SCIENCE, V188, P107, DOI 10.1126/science.1090005
   Korves TM, 2007, AM NAT, V169, pE141, DOI 10.1086/513111
   Kronholm I, 2012, EVOLUTION, V66, P2287, DOI 10.1111/j.1558-5646.2012.01590.x
   Larsen PF, 2007, MOL ECOL, V16, P4674, DOI 10.1111/j.1365-294X.2007.03530.x
   Lasky JR, 2012, MOL ECOL, V21, P5512, DOI 10.1111/j.1365-294X.2012.05709.x
   LEVINS RICHARD, 1968
   Lim CJ, 2007, BIOCHEM BIOPH RES CO, V362, P431, DOI 10.1016/j.bbrc.2007.08.007
   López-Maury L, 2008, NAT REV GENET, V9, P583, DOI 10.1038/nrg2398
   Lovell JT, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2013.1043
   Lowry DB, 2014, AM NAT, V183, P682, DOI 10.1086/675760
   Lowry DB, 2013, PLANT CELL, V25, P3266, DOI 10.1105/tpc.113.115352
   Lowry DB, 2012, BIOL J LINN SOC, V106, P241, DOI 10.1111/j.1095-8312.2012.01867.x
   Maruyama K, 2012, DNA RES, V19, P37, DOI 10.1093/dnares/dsr040
   McCarroll SA, 2004, NAT GENET, V36, P197, DOI 10.1038/ng1291
   McKay JK, 2003, MOL ECOL, V12, P1137, DOI 10.1046/j.1365-294X.2003.01833.x
   Méndez-Vigo B, 2011, PLANT PHYSIOL, V157, P1942, DOI 10.1104/pp.111.183426
   Mitchell-Olds T, 2001, TRENDS ECOL EVOL, V16, P693, DOI 10.1016/S0169-5347(01)02291-1
   MORAN NA, 1992, AM NAT, V139, P971, DOI 10.1086/285369
   Narusaka Y, 2003, PLANT J, V34, P137, DOI 10.1046/j.1365-313X.2003.01708.x
   New M, 2002, CLIMATE RES, V21, P1, DOI 10.3354/cr021001
   OBRIEN PC, 1984, BIOMETRICS, V40, P1079, DOI 10.2307/2531158
   Platt A, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1000843
   Price TD, 2003, P ROY SOC B-BIOL SCI, V270, P1433, DOI 10.1098/rspb.2003.2372
   Prud'homme B, 2007, P NATL ACAD SCI USA, V104, P8605, DOI 10.1073/pnas.0700488104
   Rengel D, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0045249
   Richards CL, 2012, PLOS GENET, V8, P482, DOI 10.1371/journal.pgen.1002662
   Riechmann JL, 2000, SCIENCE, V290, P2105, DOI 10.1126/science.290.5499.2105
   Rockman MV, 2008, NATURE, V456, P738, DOI 10.1038/nature07633
   Rockman MV, 2003, CURR BIOL, V13, P2118, DOI 10.1016/j.cub.2003.11.025
   Segrè AV, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1001058
   Shapiro MD, 2004, NATURE, V428, P717, DOI 10.1038/nature02415
   Shapiro MD, 2006, P NATL ACAD SCI USA, V103, P13753, DOI 10.1073/pnas.0604706103
   Sharbel TF, 2000, MOL ECOL, V9, P2109, DOI 10.1046/j.1365-294X.2000.01122.x
   Stern DL, 2008, EVOLUTION, V62, P2155, DOI 10.1111/j.1558-5646.2008.00450.x
   Storey JD, 2003, ANN STAT, V31, P2013, DOI 10.1214/aos/1074290335
   Sultan SE, 2002, AM NAT, V160, P271, DOI 10.1086/341015
   TAJIMA F, 1989, GENETICS, V123, P585
   Tonsor SJ, 2005, PLANT CELL ENVIRON, V28, P2, DOI 10.1111/j.1365-3040.2004.01264.x
   Toomajian C, 2006, PLOS BIOL, V4, P732, DOI 10.1371/journal.pbio.0040137
   Tvedebrink T, 2010, THEOR POPUL BIOL, V78, P200, DOI 10.1016/j.tpb.2010.07.002
   Wagner GP, 2008, TRENDS ECOL EVOL, V23, P377, DOI 10.1016/j.tree.2008.03.006
   WATTERSON GA, 1975, THEOR POPUL BIOL, V7, P256, DOI 10.1016/0040-5809(75)90020-9
   Weir BS, 2002, ANNU REV GENET, V36, P721, DOI 10.1146/annurev.genet.36.050802.093940
   Whitehead A, 2006, P NATL ACAD SCI USA, V103, P5425, DOI 10.1073/pnas.0507648103
   Wilczek AM, 2009, SCIENCE, V323, P930, DOI 10.1126/science.1165826
   Wittkopp PJ, 2008, NAT GENET, V40, P346, DOI 10.1038/ng.77
   Wittkopp PJ, 2012, NAT REV GENET, V13, P59, DOI 10.1038/nrg3095
   Wray GA, 2003, MOL BIOL EVOL, V20, P1377, DOI 10.1093/molbev/msg140
   Wray GA, 2007, NAT REV GENET, V8, P206, DOI 10.1038/nrg2063
   Picó FX, 2012, J ECOL, V100, P1009, DOI 10.1111/j.1365-2745.2012.01979.x
   Yamaguchi-Shinozaki K, 2006, ANNU REV PLANT BIOL, V57, P781, DOI 10.1146/annurev.arplant.57.032905.105444
   Yang ZH, 1997, COMPUT APPL BIOSCI, V13, P555
   Yvert G, 2003, NAT GENET, V35, P57, DOI 10.1038/ng1222
   Zhang WX, 2005, BIOINFORMATICS, V21, P3074, DOI 10.1093/bioinformatics/bti490
NR 96
TC 101
Z9 121
U1 3
U2 117
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 0737-4038
EI 1537-1719
J9 MOL BIOL EVOL
JI Mol. Biol. Evol.
PD SEP
PY 2014
VL 31
IS 9
BP 2283
EP 2296
DI 10.1093/molbev/msu170
PG 14
WC Biochemistry & Molecular Biology; Evolutionary Biology; Genetics &
   Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology; Evolutionary Biology; Genetics &
   Heredity
GA AR2GF
UT WOS:000343401100003
PM 24850899
OA hybrid, Green Published, Green Submitted
DA 2025-01-10
ER

PT J
AU Li, RJ
   Li, QS
   Mikiko, I
   Wumaier, K
AF Li, Rongjia
   Li, Qiushan
   Mikiko, Ishikawa
   Wumaier, Kabilijiang
TI Numerical Study on the Summer High-Temperature Climate Adaptation of
   Traditional Dwellings in the Western Plains of Sichuan, China
SO LAND
LA English
DT Article
DE nature-based solution; traditional settlement; Linpan in western
   Sichuan; microclimate; ENVI-met
ID HEAT-ISLAND; THERMAL COMFORT; AIR-QUALITY; URBAN; MICROCLIMATE; IMPACT;
   HOT; MITIGATION; BUILDINGS; INDEXES
AB Ongoing global climate change, marked by sustained warming and extreme weather events, poses a severe threat to both the Earth's ecosystems and human communities. Traditional settlements that underwent natural selection and evolution developed a unique set of features to adapt to and regulate the local climate. A comprehensive exploration of the spatial patterns and mechanisms of the adaptation of these traditional settlements is crucial for investigating low-energy climate adaptation theories and methods as well as enhancing the comfort of future human habitats. This study used numerical simulations and field measurements to investigate the air temperature, relative humidity, wind speed, wind direction, and thermal comfort of traditional settlements in Western Sichuan Plain, China, and uncovered their climate suitability characteristics to determine the impact mechanisms of landscape element configurations (building height, building density, tree coverage, and tree position) and spatial patterns on microclimates within these settlements. The results revealed the structural and layout strategies adopted by traditional settlements to adapt to different climatic conditions, providing valuable insights for future rural protection and planning and enhancing climate resilience through natural means. These findings not only contribute to understanding the climate adaptability of Earth's ecosystems and traditional settlements but also offer new theories and methods to address the challenges posed by climate change.
C1 [Li, Rongjia; Li, Qiushan; Wumaier, Kabilijiang] Sichuan Univ, Sichuan Univ Hong Kong Polytech Univ Inst Disaster, Chengdu 610207, Peoples R China.
   [Mikiko, Ishikawa] Chuo Univ, Fac Sci & Engn, Dept Integrated Sci & Engn Sustainable Soc, Tokyo 1128551, Japan.
C3 Sichuan University; Chuo University
RP Li, QS (corresponding author), Sichuan Univ, Sichuan Univ Hong Kong Polytech Univ Inst Disaster, Chengdu 610207, Peoples R China.
EM 2021226200008@stu.scu.edu.cn; liqiushan@scu.edu.cn;
   ishikawa.27@g.chuo-u.ac.jp; kabil@scu.edu.cn
RI Li, Rongjia/J-2322-2019
FU Full-time Postdoctoral Research and Development Fund of Sichuan
   University; Youth Fund for Humanities and Social Sciences Research of
   the Ministry of Education [23YJC630074]; Special Fund for Basic
   Scientific Research for Central Universities [20827041G4003]; 
   [2021SCU12001]
FX This research was funded by the Full-time Postdoctoral Research and
   Development Fund of Sichuan University (Grant No. 2021SCU12001), Youth
   Fund for Humanities and Social Sciences Research of the Ministry of
   Education (Grant No. 23YJC630074) and the Special Fund for Basic
   Scientific Research for Central Universities (Grant No. 20827041G4003).
CR Abdi B, 2020, SUSTAIN CITIES SOC, V56, DOI 10.1016/j.scs.2020.102085
   Achour-Younsi S, 2016, PROCD SOC BEHV, V216, P689, DOI 10.1016/j.sbspro.2015.12.062
   Akbari H, 2001, SOL ENERGY, V70, P295, DOI 10.1016/S0038-092X(00)00089-X
   Amani-Beni M, 2018, URBAN FOR URBAN GREE, V32, P1, DOI 10.1016/j.ufug.2018.03.016
   Atwa S, 2020, SUSTAIN CITIES SOC, V59, DOI 10.1016/j.scs.2020.102198
   Baangood RS, 2017, INT TRANS J ENG MANA, V8, P115
   Bai XY, 2024, BUILD ENVIRON, V247, DOI 10.1016/j.buildenv.2023.111029
   Bo-rong L., 2005, Ph.D. Thesis
   Brysse K, 2013, GLOBAL ENVIRON CHANG, V23, P327, DOI 10.1016/j.gloenvcha.2012.10.008
   Caneva G, 2020, REND LINCEI-SCI FIS, V31, P411, DOI 10.1007/s12210-020-00907-9
   Chen YH, 2020, BUILD ENVIRON, V168, DOI 10.1016/j.buildenv.2019.106493
   Cheng H, 2020, J ARID ENVIRON, V178, DOI 10.1016/j.jaridenv.2020.104169
   Chow WTL, 2016, URBAN FOR URBAN GREE, V16, P62, DOI 10.1016/j.ufug.2016.01.010
   Fang Z., 2012, Ph.D. Thesis
   Giridharan R, 2004, ENERG BUILDINGS, V36, P525, DOI 10.1016/j.enbuild.2003.12.016
   Gou SQ, 2015, BUILD ENVIRON, V86, P151, DOI 10.1016/j.buildenv.2014.12.003
   [韩非 HAN Fei], 2011, [地理研究, Geographical Research], V30, P1271
   Kabisch N, 2016, ECOL SOC, V21, DOI 10.5751/ES-08373-210239
   Kai P., 2022, Dev. Small Cities Towns, V40, P49
   Karimi A, 2020, ENERGY REP, V6, P1670, DOI 10.1016/j.egyr.2020.06.015
   Lafortezza Raffaele, 2018, Environ Res, V165, P431, DOI 10.1016/j.envres.2017.11.038
   Lai LW, 2009, SCI TOTAL ENVIRON, V407, P2724, DOI 10.1016/j.scitotenv.2008.12.002
   Li JW, 2020, BUILD ENVIRON, V170, DOI 10.1016/j.buildenv.2019.106614
   Li XD, 2016, BUILD ENVIRON, V95, P42, DOI 10.1016/j.buildenv.2015.09.005
   Liu Y, 2020, SCI TOTAL ENVIRON, V743, DOI 10.1016/j.scitotenv.2020.140589
   Longquanshan Irrigation District Management Division of Dujiang Weir of Sichuan Province, 2020, China Water Resour, V3, P60
   Mikiko I., 2020, City Plan. Inst. Jpn, V55, P753, DOI [10.11361/journalcpij.55.753, DOI 10.11361/JOURNALCPIJ.55.753]
   Mohajerani A, 2017, J ENVIRON MANAGE, V197, P522, DOI 10.1016/j.jenvman.2017.03.095
   Morakinyo TE, 2020, SCI TOTAL ENVIRON, V719, DOI 10.1016/j.scitotenv.2020.137461
   Morakinyo TE, 2017, BUILD ENVIRON, V115, P1, DOI 10.1016/j.buildenv.2017.01.005
   Mughal MO, 2019, J GEOPHYS RES-ATMOS, V124, P7764, DOI 10.1029/2018JD029796
   Potchter O, 2006, INT J CLIMATOL, V26, P1695, DOI 10.1002/joc.1330
   Prasad PSH, 2024, INT J BIOMETEOROL, V68, P1857, DOI 10.1007/s00484-024-02714-5
   Salata F, 2016, SUSTAIN CITIES SOC, V26, P318, DOI 10.1016/j.scs.2016.07.005
   Santamouris M, 2015, ENERG BUILDINGS, V98, P119, DOI 10.1016/j.enbuild.2014.09.052
   Santamouris M, 2014, SOL ENERGY, V103, P682, DOI 10.1016/j.solener.2012.07.003
   Shashua-Bar L, 2011, INT J CLIMATOL, V31, P1498, DOI 10.1002/joc.2177
   Sipei M., 2016, Hous. Sci, V36, P27, DOI [10.13626/j.cnki.hs.2016.12.005, DOI 10.13626/J.CNKI.HS.2016.12.005]
   Sodoudi S, 2018, URBAN FOR URBAN GREE, V34, P85, DOI 10.1016/j.ufug.2018.06.002
   Teshnehdel S, 2020, BUILD ENVIRON, V178, DOI 10.1016/j.buildenv.2020.106899
   Tong S., 2018, Building and Environment, V127, P239, DOI [DOI 10.1016/J.BUILDENV.2017.11, 10.1016/j.buildenv.2017.11.013, DOI 10.1016/J.BUILDENV.2017.11.013]
   Tseliou A, 2010, BUILD ENVIRON, V45, P1346, DOI 10.1016/j.buildenv.2009.11.009
   Tsoka S, 2018, SUSTAIN CITIES SOC, V43, P55, DOI 10.1016/j.scs.2018.08.009
   Wang D, 2019, SCI TOTAL ENVIRON, V690, P923, DOI 10.1016/j.scitotenv.2019.07.039
   [王倩 Wang Qian], 2021, [生态科学, Ecologic Science], V40, P139
   Wang Z.F., 2022, Landsc. Archit. J, V29, P12
   Wu ZF, 2017, LANDSCAPE URBAN PLAN, V167, P463, DOI 10.1016/j.landurbplan.2017.07.015
   Xu LY, 2013, ENVIRON POLLUT, V178, P102, DOI 10.1016/j.envpol.2013.03.006
   Xu Y, 2017, LANDSCAPE URBAN PLAN, V167, P212, DOI 10.1016/j.landurbplan.2017.06.018
   Yang YJ, 2022, SUSTAIN CITIES SOC, V80, DOI 10.1016/j.scs.2022.103802
   Yang YJ, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101730
   Yi W., 2023, Landsc. Archit. Acad. J, V40, P92
   Zarghami E, 2019, J ARCHIT PLAN RES, V36, P321
   Zhang J, 2020, BUILD ENVIRON, V180, DOI 10.1016/j.buildenv.2020.107035
   Zhang LD, 2023, LAND-BASEL, V12, DOI 10.3390/land12071448
   Zhao YF, 2022, BUILD ENVIRON, V207, DOI 10.1016/j.buildenv.2021.108566
NR 56
TC 0
Z9 0
U1 11
U2 11
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD SEP
PY 2024
VL 13
IS 9
AR 1382
DI 10.3390/land13091382
PG 18
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA H4X0M
UT WOS:001323473800001
OA gold
DA 2025-01-10
ER

PT J
AU Hamburger, R
   Kijewski-Correa, T
   Javeline, D
AF Hamburger, Rachel
   Kijewski-Correa, Tracy
   Javeline, Debra
TI Before and after disaster: Homeowner protective actions in a changing
   climate
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Hurricanes; Homeowners; Climate adaptation; Risk mitigation
ID RAPID NEEDS-ASSESSMENT; NONRESPONSE RATES; HURRICANE; FLORIDA; IMPACT;
   RISK; BIAS
AB Communities face a growing threat from increasingly severe weather events driven by a changing climate. The threat is especially acute in US coastal communities where current regulations have proven ineffective in stemming mounting hurricane losses. Absent meaningful regulatory reforms, climate adaptation in coastal zones will largely depend on the voluntary actions of homeowners. We introduce a novel research methodology to study those actions in a post-hurricane landscape where damage necessitates reconstruction decisions. The methodology includes (1) a modular survey instrument robust enough to document diverse damage experiences and recovery journeys, (2) indices that measure homeowner protective actions over time and holistic damage exposure, and (3) a sampling strategy that uses secondary data to target households likely to be engaged in recovery actions, maximizing yields in settings characterized by low response rates. The efficacy of this research methodology is demonstrated through the study of 373 homeowners in Calcasieu Parish, Louisiana, a community still recovering from Hurricane Laura. On average, homeowners invested in protection before the storm, increased that protection level after the storm, and intend to continue to invest in protections for their homes. However, despite homeowners' promising actions, homes in Calcasieu Parish achieve at best half of the measures necessary to stem the losses in future hurricanes, underscoring the need for policies that better incentivize and message whole-house climate adaptation strategies. Future research aims to use the data and indices to identify factors with greatest potential to motivate these whole-house adaptations.
C1 [Hamburger, Rachel; Kijewski-Correa, Tracy] Univ Notre Dame, Dept Civil & Environm Engn & Earth Sci, Notre Dame, IN 46556 USA.
   [Kijewski-Correa, Tracy] Univ Notre Dame, Pulte Inst Global Dev, Notre Dame, IN USA.
   [Javeline, Debra] Univ Notre Dame, Dept Polit Sci, Notre Dame, IN USA.
   [Kijewski-Correa, Tracy; Javeline, Debra] Univ Notre Dame, Environm Change Initiat, Notre Dame, IN USA.
C3 University of Notre Dame; University of Notre Dame; University of Notre
   Dame; University of Notre Dame
RP Hamburger, R (corresponding author), Univ Notre Dame, Dept Civil & Environm Engn & Earth Sci, Notre Dame, IN 46556 USA.
EM rhambur2@nd.edu
FU National Science Foundation Strengthening American Infrastructure
   [BCS-2122117]
FX This work was supported by National Science Foundation Strengthening
   American Infrastructure Grant No. BCS-2122117. Any opinions, findings,
   and conclusions or recommendations expressed in this material are those
   of the authors and do not necessarily reflect the views of the National
   Science Foundation. The authors gratefully acknowledge the contributions
   of NORC at the University of Chicago in sample construction and
   implementation of the survey. The authors also thank the respondents who
   participated in the study.
CR [Anonymous], Bureau, US Census. "Census Bureau Estimates Show Average One-Way Travel Time to Work Rises to All-Time High." Census.Gov. Last modified October 8, 2021. Accessed December 15, 2023$4.https://www.census.gov/newsroom/pressreleases/2021/one-way-travel-time-to-work-rises.html.
   [Anonymous], [9] Andrew V. Haeff. 19 October, 2021. [Online]. Available: https://en.wikipedia.org/wiki/Andrew_V._Haeff. [Accessed April 8th, 2022].
   [Anonymous], 216. United States Census Bureau (2020) https://data.census.gov/cedsci/table?q=B29004%3A%20MEDIAN%20HOUSEH OLD%20INCOME%20FOR%20HOUSEHOLDS%20WITH%20A%20CITIZEN ,%20VOTING-AGE%20HOUSEHOLDER%20%28IN%202018%20INFLATIONADJUSTED%20DOLLARS%29hidePreview=truetid=ACSDT1Y2018.B290 04 Accessed 01/05/2020.
   [Anonymous], 2019, Microsoft. us building footprints.
   [Anonymous], U.S. Census (2021). https://www.census.gov/quickfacts/fact/table/US/RHI725219
   ASCE, 2016, Minimum design loads for buildings and other structures
   ATC, 2023, ATC hazards by location.
   Barbato M, 2013, STRUCT SAF, V45, P24, DOI 10.1016/j.strusafe.2013.07.002
   Barry M, 2023, Triple-I: Louisiana's insurance crisis grew after 2020-21 hurricanes | III
   Binder SB, 2015, AM J COMMUN PSYCHOL, V56, P180, DOI 10.1007/s10464-015-9727-x
   Calcasieu Parish Police Jury, 2022, Calcasieu parish police jury-civic access portal.
   Carson JM, 2013, J RISK INSUR, V80, P309, DOI 10.1111/j.1539-6975.2012.01484.x
   Chatterjee C, 2014, RISK ANAL, V34, P984, DOI 10.1111/risa.12196
   Chiew E, 2020, WEATHER CLIM SOC, V12, P31, DOI 10.1175/WCAS-D-18-0139.1
   Cleary J., 2020, **DATA OBJECT**, DOI 10.17603/DS2-N5NE-5169
   Cobian J., 2020, Calcasieu parish hazard mitigation plan update: Calcasieu parish police jury division of planning and development
   Crawford PS, 2022, ASCE-ASME J RISK U A, V8, DOI 10.1061/AJRUA6.0001219
   Du F, 2016, INT J DISAST RISK RE, V16, P142, DOI 10.1016/j.ijdrr.2016.02.007
   FEMA, 2022, Building codes adoption playbook for authorities having jurisdiction.
   Finch M, 2022, Here Are the Louisiana Insurers that Have Gone Broke or Left the State amid Deepening Crisis
   FLASH, 2024, Is America #HurricaneStrong? 2024 Consumer Survey Topline Report
   Fussell E, 2014, SOC SCI MED, V113, P137, DOI 10.1016/j.socscimed.2014.05.025
   Galesic M, 2009, PUBLIC OPIN QUART, V73, P349, DOI 10.1093/poq/nfp031
   Ge Y, 2011, RISK ANAL, V31, P1676, DOI 10.1111/j.1539-6924.2011.01606.x
   Grayson J., 2014, Building Envelope Failure Assessment of Residential Developments Subjected to Hurricane Wind Hazards
   Groves RM, 2008, PUBLIC OPIN QUART, V72, P167, DOI 10.1093/poq/nfn011
   Groves RM, 2006, PUBLIC OPIN QUART, V70, P646, DOI 10.1093/poq/nfl033
   Hamburger R., 2023, **DATA OBJECT**, DOI 10.17603/DS2-8PH7-BN64
   Hamburger R, 2025, NAT HAZARDS REV, V26, DOI 10.1061/NHREFO.NHENG-2278
   Henry J, 2013, DISASTERS, V37, P293, DOI 10.1111/j.1467-7717.2012.01303.x
   IBHS, 2020, Fortified home hurricane standards
   IBHS, 2021, Rating the states: an assessment of residential building code and enforcement systems for life safety and property protection in hurricane-prone regions
   ICC, 2018, IBC: international building code
   Jasour ZY, 2018, J INFRASTRUCT SYST, V24, DOI 10.1061/(ASCE)IS.1943-555X.0000452
   Javeline D., 2019, CONHIC2019 2 INT C N
   Javeline D, 2019, CLIMATIC CHANGE, V155, P511, DOI 10.1007/s10584-019-02513-7
   Javeline D, 2019, CLIMATIC CHANGE, V152, P259, DOI 10.1007/s10584-018-2257-4
   Kalton G., 2003, Weighting methods, V19
   Kijewski-Correa T., 2023, Accelerating the Disaster Data to Knowledge Life Cycle: Case Studies in the Use of Open Data in Recent Hurricanes
   Kijewski-Correa T., 2023, **DATA OBJECT**, DOI 10.17603/DS2-T2W6-0758
   Kijewski-Correa T, 2024, B EARTHQ ENG, DOI 10.1007/s10518-024-01927-8
   Kijewski-Correa T, 2023, NAT HAZARDS REV, V24, DOI 10.1061/NHREFO.NHENG-1649
   Kijewski-Correa T, 2023, CLIM POLICY, V23, P1314, DOI 10.1080/14693062.2023.2215207
   Kimball S., 2023, CNBC
   Kousky C., 2021, A Blueprint for Coastal Adaptation: Uniting Design, Economics, and Policy
   Lindell MK, 2008, RISK ANAL, V28, P539, DOI 10.1111/j.1539-6924.2008.01032.x
   McCullough K., 2017, J. Insur. Regul., DOI [10.52227/20999.2017, DOI 10.52227/20999.2017]
   N.I.S.T. Ara, 2020, Rapid response windfield estimate
   National Academies of Sciences Engineering and Medicine, 2020, FRAM EQ ALL COVID 19, DOI [10.17226/25917, DOI 10.17226/25917]
   NHC, 2020, GIS archive-tropical cyclone best track.
   NOAA, 2023, Hurricane costs
   NOAA, 2020, Record-breaking Atlantic hurricane season draws to an end.
   Pant S, 2018, J STRUCT ENG, V144, DOI 10.1061/(ASCE)ST.1943-541X.0002038
   Peacock WG, 2003, NAT HAZARDS REV, V4, P149, DOI 10.1061/(ASCE)1527-6988(2003)4:3(149)
   Prevatt David, 2021, DesignSafe, DOI 10.17603/DS2-W6KM-FE51
   Rathfon D, 2013, DISASTERS, V37, P333, DOI 10.1111/j.1467-7717.2012.01305.x
   Revilla M, 2020, INT J MARKET RES, V62, P538, DOI 10.1177/1470785320943049
   Rierson A.K., 2020, Why Americans Aren't Concerned about Building Codes (even though they should be)
   Rodriguez SR, 2006, PREHOSP DISASTER MED, V21, P390, DOI 10.1017/S1049023X0000409X
   Roueche David, 2021, DesignSafe
   Smith M., 2022, Nearly a year and a half after hurricane Laura, housing program advances for Lake Charles, the advocate
   Snaiki R, 2023, J BUILD ENG, V69, DOI 10.1016/j.jobe.2023.106256
   Subaiya S, 2014, AM J PUBLIC HEALTH, V104, P632, DOI 10.2105/AJPH.2013.301668
   Teles D., 2021, Why Does Disaster Recovery Take So Long? Five Facts about Federal Housing Aid after Disasters
   U.S. Environmental Protection Agency, 2016, CLIMATE CHANGE INDIC
   US Census Bureau, 2020, American community survey-commuting
   Vasquez W.F., 2017, Disasters Clim. Change, V1, P263, DOI [10.1007/s41885-017-0016-z, DOI 10.1007/S41885-017-0016-Z]
   Vickery P.J., 2006, Natural Hazards Review, V7, P94, DOI [10.1061/(asce)1527-6988(2006)7:2(94), DOI 10.1061/(ASCE)1527-6988(2006)7:2(94), 10.1061/(ASCE)1527-6988(2006)7:2(94)]
   Zou YL, 2020, NAT HAZARDS, V104, P201, DOI 10.1007/s11069-020-04165-8
NR 69
TC 0
Z9 0
U1 1
U2 1
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD DEC
PY 2024
VL 115
AR 105006
DI 10.1016/j.ijdrr.2024.105006
PG 15
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA O5D6G
UT WOS:001371333600001
DA 2025-01-10
ER

PT J
AU Guido, Z
   Knudson, C
   Gerlak, AK
   Mason, S
   Hewitt, CD
   Muth, M
AF Guido, Zack
   Knudson, Chris
   Gerlak, Andrea K.
   Mason, Simon
   Hewitt, Chris D.
   Muth, Meredith
TI Implementing a knowledge system: Lessons from the global stewardship of
   climate services
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Knowledge systems; Knowledge networks; Global Framework for Climate
   Services; Climate services; Climate adaptation
ID USABLE KNOWLEDGE; NETWORKS; SCIENCE
AB Knowledge systems are mechanisms that can drive climate adaptation through the pursuits of enhancing resource sharing, collaboration, and learning, while at the same time helping to develop trust and credibility among individuals and intuitions. While these goals are widely discussed, less is known about the activities and strategies that knowledge systems undertake to achieve these goals. We analyze the Global Framework of Climate Services (GFCS) as a knowledge system organized around the translation of weather and climate information for decision-making. The GFCS brings together the World Meteorological Organization, national meteorological and hydrological services, and some of the world's largest multilateral scientific, humanitarian, and development organizations. Our analysis draws on key informant interviews, focus groups conducted in African countries, and an online survey of GFCS participants. We describe the main activities pursued by the GFCS that shaped the vision of climate services, built capacity in national climate adaptation, and created connections among diverse actors and organizations worldwide. We show how these activities generated tensions about the purpose of the GFCS and how influence among the knowledge system was distributed. Based on our results, we illustrate new ways to conceptualize the strategies of knowledge systems, which we describe as (1) theorizing the norms of practice and mechanisms of change, (2) legitimizing actors, and (3) managing knowledge. These strategies identify pathways for, and pitfalls to, a knowledge system's pursuit of its goals, providing guidance to managers of knowledge systems and an analytical framework to evaluate their impacts.
C1 [Guido, Zack] Univ Arizona, Arizona Inst Resilience Environm & Soc, 1064 E Lowell St, Tucson, AZ 85719 USA.
   [Knudson, Chris] Univ Hawaii, Dept Geog & Environm Sci, 200 W Kawili St, Hilo, HI 96720 USA.
   [Gerlak, Andrea K.] Univ Arizona, Sch Geog Dev & Environm, 1064 E Lowell St, Tucson, AZ USA.
   [Gerlak, Andrea K.] Univ Arizona, Udall Ctr Studies Publ Policy, 1064 E Lowell St, Tucson, AZ USA.
   [Mason, Simon] Columbia Univ, Int Res Inst Climate & Soc, Earth Inst, 61 Route 9W, Palisades, NY 10964 USA.
   [Hewitt, Chris D.] Univ Southern Queensland, Ctr Appl Climate Sci, Toowoomba, Qld 4350, Australia.
   [Hewitt, Chris D.] Met Off Hadley Ctr, Exeter EX1 3PB, Devon, England.
   [Muth, Meredith] US Natl Ocean & Atmospher Adm NOAA, Climate Program Off, 1315 East West Highway, Silver Spring, MD 20910 USA.
C3 University of Arizona; University of Hawaii System; University Hawaii
   Hilo; University of Arizona; University of Arizona; Columbia University;
   University of Southern Queensland; Met Office - UK; Hadley Centre;
   National Oceanic Atmospheric Admin (NOAA) - USA
RP Guido, Z (corresponding author), Univ Arizona, Arizona Inst Resilience Environm & Soc, 1064 E Lowell St, Tucson, AZ 85719 USA.
EM zguido@email.arizona.edu
RI guido, zack/S-4175-2019
OI Guido, Zack/0000-0002-4817-606X; Hewitt, Chris/0000-0002-4718-4009
FU National Oceanic and Atmospheric Administration [NA18OAR4310338]
FX We thank Filipe Lucio and Erica Allis of the WMO for thoughtful
   contributions. Contributions by Zack Guido and Simon Mason were
   supported by the National Oceanic and Atmospheric Administration grant
   NA18OAR4310338.
CR [Anonymous], 2014, Implementation Plan of the Global Framework for Climate Services
   [Anonymous], 2015, ASTORIAN
   Apetrei CI, 2021, GLOBAL ENVIRON CHANG, V68, DOI 10.1016/j.gloenvcha.2021.102222
   Bergek A, 2008, TECHNOL ANAL STRATEG, V20, P575, DOI 10.1080/09537320802292768
   Bidwell D, 2013, NAT CLIM CHANGE, V3, P610, DOI 10.1038/nclimate1931
   Bryant A., 2007, The Sage Handbook of Grounded Theory, P1
   Carr ER, 2018, CLIM RISK MANAG, V22, P82, DOI 10.1016/j.crm.2017.03.002
   Carr ER, 2016, AREA, V48, P7, DOI 10.1111/area.12179
   Cash DW, 2006, SCI TECHNOL HUM VAL, V31, P465, DOI 10.1177/0162243906287547
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   Chapman JM, 2020, SUSTAIN SCI, V15, P931, DOI 10.1007/s11625-020-00781-2
   Clark WC, 2016, P NATL ACAD SCI USA, V113, P4615, DOI 10.1073/pnas.0900231108
   Clark WC, 2016, P NATL ACAD SCI USA, V113, P4570, DOI 10.1073/pnas.1601266113
   Committee on World Food Security, 2021, POLICY RECOMMENDATIO
   Cornell S, 2013, ENVIRON SCI POLICY, V28, P60, DOI 10.1016/j.envsci.2012.11.008
   Cote M, 2012, PROG HUM GEOG, V36, P475, DOI 10.1177/0309132511425708
   Crespo J, 2014, J ECON GEOGR, V14, P199, DOI 10.1093/jeg/lbt006
   Daly M, 2019, CLIMATIC CHANGE, V157, P61, DOI 10.1007/s10584-019-02510-w
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   Feldman DL, 2009, WEATHER CLIM SOC, V1, P9, DOI 10.1175/2009WCAS1007.1
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Gerlak A. K., 2017, MIDTERM REV GLOBAL F
   Gerlak AK, 2020, B AM METEOROL SOC, V101, pE771, DOI 10.1175/BAMS-D-19-0008.1
   Global Coffee Platform, 2021, GLOB NETW ACT
   Global Framework for Climate Services (GFCS), 2019, AD PROGR AFR GFCS AP
   Greenwood R, 2002, ACAD MANAGE J, V45, P58, DOI 10.5465/3069285
   Harjanne A, 2017, GLOBAL ENVIRON CHANG, V46, P1, DOI 10.1016/j.gloenvcha.2017.06.008
   Harvey B, 2019, CLIMATIC CHANGE, V157, P81, DOI 10.1007/s10584-019-02410-z
   Haunschild R, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0160393
   Henry AD, 2014, ANNU REV ENV RESOUR, V39, P583, DOI 10.1146/annurev-environ-101813-013246
   Hermans F, 2015, J AGRIC EDUC EXT, V21, P35, DOI 10.1080/1389224X.2014.991113
   Hewitt C.D., 2020, BOL AM, VMeteorol
   Hewitt C, 2012, NAT CLIM CHANGE, V2, P831, DOI 10.1038/nclimate1745
   Hewitt CD, 2021, CLIM SERV, V23, DOI 10.1016/j.cliser.2021.100240
   Hunt JCR, 2013, Q J ROY METEOR SOC, V139, P561, DOI 10.1002/qj.1993
   Jones L, 2018, REG ENVIRON CHANGE, V18, P297, DOI 10.1007/s10113-017-1254-x
   Kalafatis SE, 2015, GLOBAL ENVIRON CHANG, V32, P30, DOI 10.1016/j.gloenvcha.2015.02.007
   Kirchhoff CJ, 2015, CLIM RISK MANAG, V9, P77, DOI 10.1016/j.crm.2015.05.002
   Kowarsch M, 2016, PALGR COMMUN, V2, DOI 10.1057/palcomms.2016.92
   Lahsen M, 2013, ECOL SOC, V18, DOI 10.5751/ES-05614-180314
   Lemos MC, 2018, NAT SUSTAIN, V1, P722, DOI 10.1038/s41893-018-0191-0
   Lubell M, 2014, SOC NATUR RESOUR, V27, P1089, DOI 10.1080/08941920.2014.933496
   Mahon R, 2019, CLIM SERV, V13, P14, DOI 10.1016/j.cliser.2019.01.002
   Martin DJ, 2015, METEOROL APPL, V22, P273, DOI 10.1002/met.1461
   Matthews T, 2013, PLAN THEORY PRACT, V14, P198, DOI 10.1080/14649357.2013.781208
   Muñoz-Erickson TA, 2016, CURR OPIN ENV SUST, V18, P56, DOI 10.1016/j.cosust.2015.08.013
   Odell C., 1998, ONLY WE KNEW WHAT WE
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Rogers DP, 2013, DIR DEV, P1, DOI 10.1596/978-1-4648-0026-9
   Roling N., 1992, Knowledge and policy, V5, P42, DOI [10.1007/BF02692791, DOI 10.1007/BF02692791]
   Rosas G., 2016, Climate Services, V4, P30, DOI 10.1016/j.cliser.2016.10.001
   Ulibarri N, 2022, CLIM POLICY, V22, P77, DOI 10.1080/14693062.2021.2002251
   van Kerkhoff Lorrae, 2016, Proc Natl Acad Sci U S A, V113, P4603, DOI 10.1073/pnas.0900541107
   Vaughan C, 2014, WIRES CLIM CHANGE, V5, P587, DOI 10.1002/wcc.290
   Weichselgartner J, 2019, WEATHER CLIM SOC, V11, P385, DOI 10.1175/WCAS-D-18-0087.1
   White R.M., 1979, WMO B, V28, P177
   World Bank, 2017, IMPR WEATH FOR CAN R
   World Meteorological Organization (WMO), 2020, GLOB FRAM CLIM SERV
   World Meteorological Organization (WMO), 2016, MAN COMM INT BOARD C
   World Meteorological Organization (WMO), 2019, RES 4 EC 71 CLIM COO
   World Meteorological Organization (WMO), 2011, Report No. WMO-No. 1065
   Zillman JohnW., 2009, WMO B, V58
NR 62
TC 1
Z9 1
U1 1
U2 4
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-3780
EI 1872-9495
J9 GLOBAL ENVIRON CHANG
JI Glob. Environ. Change-Human Policy Dimens.
PD MAY
PY 2022
VL 74
AR 102516
DI 10.1016/j.gloenvcha.2022.102516
EA APR 2022
PG 10
WC Environmental Sciences; Environmental Studies; Geography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA 1D3XK
UT WOS:000793736800006
OA Bronze
DA 2025-01-10
ER

PT J
AU Wang, J
   Wang, Y
   Li, SC
   Qin, DH
AF Wang, Jun
   Wang, Yang
   Li, Shuangcheng
   Qin, Dahe
TI Climate adaptation, institutional change, and sustainable livelihoods of
   herder communities in northern Tibet
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE climate adaptation; herder communities; institutional change;
   sustainable livelihoods; Tibetan Plateau
ID RESILIENCE; POLICY; VULNERABILITY; DEGRADATION; FRAMEWORK
AB The Tibetan grassland social-ecological systems are widely held to be highly vulnerable to climate change. We aim to investigate livelihood adaptation strategies of herder households and the types of local institutions that shaped those adaptation strategies. We examined the barriers and opportunities for strengthening adaptive capacity of local herder communities. We designed and implemented a household survey in the herder communities of northern Tibet. The survey results showed that migratory grazing has become less feasible. Storage, diversification, and market exchange have become the dominant adaptation strategies. The adaptation strategies of local herders have been reshaped by local institutional change. Local governmental and market institutions played the dominant roles in reshaping climate adaptation strategies. Although the present livelihood adaption strategies related to sedentary grazing have improved productivity and profitability of the herding livelihood, they have led to continuous deterioration of pastures. The local grazing system has become more and more dependent on artificial feeding and inputs from outside the grazing system. Purchasing forage has become one of the dominant adaptation strategies of local herder households. Multilevel regression modeling of this adaptation behavior showed that explanatory variables related to climate variability, household capital, and local institutional arrangements had statistically significant relationships with the adoption of this adaptation strategy. The results implies that building household capital and promoting the coordination among local governmental, market, and communal institutions are critical for strengthening adaptive capacity of the Tibetan herder communities.
C1 [Wang, Jun] Peking Univ, Shenzhen Grad Sch, Key Lab Human & Environm Sci & Technol, Shenzhen, Peoples R China.
   [Wang, Yang; Qin, Dahe] China Meteorol Adm, Natl Climate Ctr, Beijing, Peoples R China.
   [Li, Shuangcheng] Peking Univ, Coll Urban & Environm Sci, Beijing 100871, Peoples R China.
C3 Peking University; China Meteorological Administration; Peking
   University
RP Wang, J (corresponding author), Peking Univ, Shenzhen Grad Sch, Key Lab Human & Environm Sci & Technol, Shenzhen, Peoples R China.
RI Li, Shuangcheng/HKP-3019-2023
FU State Key Laboratory of Cryospheric Sciences; Cold and Arid Regions
   Environment and Engineering Research Institute, China
   [SKLCS-OP-2014-10]; Laboratory for Climate Studies Open Funds for Young
   Scholars, China; National Science Foundation of China [41401215]
FX This work was conducted with financial support from the State Key
   Laboratory of Cryospheric Sciences, Cold and Arid Regions Environment
   and Engineering Research Institute, China (SKLCS-OP-2014-10), Laboratory
   for Climate Studies Open Funds for Young Scholars, China (2015), and
   National Science Foundation of China (41401215). The authors would like
   to thank people from the local government of Nagqu County for their
   generous help with the household surveys.
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2000, ANN ASSOC AM GEOGR, V90, P738, DOI 10.1111/0004-5608.00220
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Agrawal A., 2013, DRYLAND E ASIA LAND, P425
   Agrawal A, 2010, NEW FRONT SOC POLICY, P173
   Agrawal A, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P350
   [Anonymous], 1991, NOMADIC PEOPLES
   [Anonymous], ERDKUNDE, DOI DOI 10.3112/ERD
   Fernández-Giménez ME, 2012, GLOBAL ENVIRON CHANG, V22, P836, DOI 10.1016/j.gloenvcha.2012.07.001
   Fu Y, 2012, ENVIRON MANAGE, V50, P607, DOI 10.1007/s00267-012-9918-2
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   [高懋芳 GAO Maofang], 2011, [干旱区资源与环境, Journal of Arid Land Resources and Environment], V25, P101
   Gelman A., 2006, Data analysis using regression and multilevel/hierarchical models, DOI [10.1017/CBO9780511790942, DOI 10.1017/CBO9780511790942]
   Goldstein Melvyn C., 2012, Pastoral practices in High Asia, Advances in Asian Human-Environmental Research, P257
   Hausner VH, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0051187
   Hausner VH, 2011, ECOL SOC, V16, DOI 10.5751/ES-04193-160304
   Klein JA, 2011, ADV GLOB CHANGE RES, V42, P423, DOI 10.1007/978-94-007-0567-8_31
   Kreutzmann Hermann, 2011, PASTORALISM RANGELAN
   Liu JG, 2008, P NATL ACAD SCI USA, V105, P9477, DOI 10.1073/pnas.0706436105
   Lo AY, 2013, GLOBAL ENVIRON CHANG, V23, P1249, DOI 10.1016/j.gloenvcha.2013.07.019
   Long R, 2011, PASTORALISM RANGELAN, P239
   Maru YT, 2014, GLOBAL ENVIRON CHANG, V28, P337, DOI 10.1016/j.gloenvcha.2013.12.007
   Raudenbush S., 2012, HLM 6 HIERARCHICAL L
   Raymond CM, 2013, GLOBAL ENVIRON CHANG, V23, P103, DOI 10.1016/j.gloenvcha.2012.11.004
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   van Oldenborgh GJ, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1311
   Waldron S, 2010, CHINA AGR ECON REV, V2, P298, DOI 10.1108/17561371011078435
   Walker B., 2004, Ecology and Society, V9, P5
   Wang JF, 2011, PROCEEDINGS OF 2011 INTERNATIONAL CONFERENCE ON ELECTRICAL INSULATING MATERIALS (ISEIM), P225
   Wang W, 2013, NAT HAZARD EARTH SYS, V13, P1411, DOI 10.5194/nhess-13-1411-2013
   Wang Y, 2014, ECOL SOC, V19, DOI 10.5751/ES-06803-190408
   Yan JZ, 2011, J GEOGR SCI, V21, P1112, DOI 10.1007/s11442-011-0904-z
   Young OR, 2010, GLOBAL ENVIRON CHANG, V20, P378, DOI 10.1016/j.gloenvcha.2009.10.001
NR 33
TC 35
Z9 39
U1 4
U2 95
PU RESILIENCE ALLIANCE
PI WOLFVILLE
PA ACADIA UNIV, BIOLOGY DEPT, WOLFVILLE, NS B0P 1X0, CANADA
SN 1708-3087
J9 ECOL SOC
JI Ecol. Soc.
PY 2016
VL 21
IS 1
AR 5
DI 10.5751/ES-08170-210105
PG 11
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA DJ1AI
UT WOS:000373935100026
OA gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Heikoop, R
   Idahmanen, A
   de Ruiter, P
   Oosthoek, E
   van der Heijden, A
   Boogaard, F
AF Heikoop, Rick
   Idahmanen, Aniss
   de Ruiter, Pascal
   Oosthoek, Elma
   van der Heijden, Angela
   Boogaard, Floris
TI The Environment in the Lead: A Scorecard System to Assess Adaptation
   Measures and Score Ecosystem Services at the Street Level
SO SUSTAINABILITY
LA English
DT Article
DE climate adaptation; scorecard; ecosystem services; microclimate; street
   segment
ID URBAN GREEN INFRASTRUCTURE; TREES; COOL
AB Currently, there is no method available that can systematically score the available ecosystem services in streets or street segments in suburban districts. In this study, different climate adaptation measures and their ecosystem services were categorized into green, blue, and grey categories and weight was given to each category based on their impact on the microclimate. This study took place in the Hillesluis district in the city of Rotterdam and the Paddepoel district in the city of Groningen. In Rotterdam, 21 streets, composed of 42 street segments, were assessed. In Groningen, 17 streets, composed of 45 street segments, were assessed. The available ecosystem services of each street segment were scored from 0-100. The scorecard method that was developed and tested during this study provided insight in the variation of available ecosystem services of streets and street segments. Individual street scores were very low in the city of Rotterdam and ranged between 3 and 50, with the average score for the street segments of 29. In Groningen, the scores were considerably higher with a range between 23 and 70, with an average score of 47 per street segment. The presence of larger green trees, front yards, and facade gardens in the green category are the most distinctive variable, while adaptation measures in the blue category were absent in both cities. The scorecard proved to be very useful in the adaptation labeling of street segments and entire streets. After assessing a neighborhood, the least adaptive streets can be identified relatively easy. Based on the score a label can be given between A+++ and G. The scorecard informs residents and decision makers about which streets are most adaptive and which streets have an adaptation potential. The method can easily be duplicated and used by local governments and community groups to have better insight in the level of climate adaptation of their street. Labels for entire streets can be used to create awareness and encourage residents to take action and expand the number of climate adaptation measures in their street.
C1 [Heikoop, Rick; Idahmanen, Aniss; de Ruiter, Pascal] Rotterdam Univ Appl Sci, Fac Water Management, GJ de Jonghweg 46, NL-3015 GG Rotterdam, Netherlands.
   [Heikoop, Rick; Oosthoek, Elma; van der Heijden, Angela] Rotterdam Univ Appl Sci, Ctr Expertise Social Innovat EMI Rotterdam, Hillevliet 90, NL-3074 KD Rotterdam, Netherlands.
   [Heikoop, Rick] Rotterdam Univ Appl Sci, RDM Ctr Expertise, Heijplaatstr 23, NL-3089 JB Rotterdam, Netherlands.
   [Boogaard, Floris] Hanze Univ Appl Sci, Ctr Appl Res & Innovat Area Dev, NoorderRuimte, Zernikepl 7, NL-9701 DA Groningen, Netherlands.
   [Boogaard, Floris] Energy Acad Europe, Global Ctr Adaptat, Nijenborgh 6, NL-9747 AG Groningen, Netherlands.
RP Heikoop, R (corresponding author), Rotterdam Univ Appl Sci, Fac Water Management, GJ de Jonghweg 46, NL-3015 GG Rotterdam, Netherlands.; Heikoop, R (corresponding author), Rotterdam Univ Appl Sci, Ctr Expertise Social Innovat EMI Rotterdam, Hillevliet 90, NL-3074 KD Rotterdam, Netherlands.; Heikoop, R (corresponding author), Rotterdam Univ Appl Sci, RDM Ctr Expertise, Heijplaatstr 23, NL-3089 JB Rotterdam, Netherlands.
EM heith@hr.nl
RI Heikoop, Teinis/GLU-4771-2022; Boogaard, Floris/V-6308-2019
OI Boogaard, Floris/0000-0002-1434-4838; Heikoop, Teunis
   Hendrik/0000-0001-9055-4602
FU Erasmus+ Programme of the European Union; IMPETUS project, "Innovative
   Measurement Tool towards Urban Environmental Awareness"; SIA-RAAK grant
   from the Taskforce for Applied Research SIA within the project "Citizen
   Participation in Climate Adaptation"; Centre of Expertise Social
   Innovation (EMI) in Rotterdam; Research atelier Urban Cool Island;
   Municipality Rotterdam; Municipality Groningen; European Commission
FX This study would not have been possible without funding from the
   Erasmus+ Programme of the European Union and collaboration within the
   IMPETUS project, "Innovative Measurement Tool towards Urban
   Environmental Awareness", the SIA-RAAK grant from the Taskforce for
   Applied Research SIA within the project "Citizen Participation in
   Climate Adaptation" and without the support of the Centre of Expertise
   Social Innovation (EMI) in Rotterdam and the research atelier Urban Cool
   Island. We thank the municipality Rotterdam and municipality Groningen
   for support for this work. The European Commission's, SIA RAAK's and
   EMI's support for the production of this publication does not constitute
   an endorsement of the contents, which reflect the views only of the
   authors, and the Commission or SIA RAAK cannot be held responsible for
   any use that may be made of the information contained therein.
CR Akbari H, 2001, SOL ENERGY, V70, P295, DOI 10.1016/S0038-092X(00)00089-X
   Akter A, 2020, WATER SCI ENG, V13, P95, DOI 10.1016/j.wse.2020.06.001
   AllCijfers.nl, INF POSTC 9742 2021
   Alle Cijfers, 2021, PADD NOORD GRON
   Allecijfers.nl, 2021, INFORM BUURT HILLES
   [Anonymous], 2022, ALLECIJFERSNL INFORM
   [Anonymous], 2020, GOOGLE EARTH PRO MOR
   [Anonymous], 2007, AR4 CLIM CHANG 2007
   [Anonymous], ROTTERDAM MAKE IT HA
   [Anonymous], 2003, BOUWBESLUIT NOTA TOE
   [Anonymous], 2013, Green Infrastructure (GI) - Enhancing Europe's natural capital (Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions)
   Berke P, 2021, CITIES, V119, DOI 10.1016/j.cities.2021.103408
   Boogaard FC, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12093694
   Buijs J.M., 2021, BURGERPARTICIPATIE K
   Cameron RWF, 2014, BUILD ENVIRON, V73, P198, DOI 10.1016/j.buildenv.2013.12.005
   Chen YC, 2021, ECOL ENG, V159, DOI 10.1016/j.ecoleng.2020.106073
   de Manuel BF, 2021, BASIC APPL ECOL, V53, P12, DOI 10.1016/j.baae.2021.02.012
   Dianat H, 2021, INT J DISAST RISK RE, V65, DOI 10.1016/j.ijdrr.2021.102561
   EU Commission (EU Comm.), 2021, FORG CLIM RES EUR NE
   European Commission, 2012, SOIL SEAL IND REP
   European Commission, 2013, COMM COMM EUR PARL
   European Environment Agency, 2021, URBAN SUSTAINABILITY
   Forde A, 2021, J TRAFFIC TRANSP ENG, V8, P57, DOI 10.1016/j.jtte.2019.03.007
   Global Commission on Adaptation, 2019, AD NOW GLOB CALL LEA
   Google Earth, 2022, ZAAD
   Google Maps, 2022, WEST
   Google Maps, 2022, CAP
   Hanibuchi T, 2019, HEALTH PLACE, V59, DOI 10.1016/j.healthplace.2019.102203
   Heikoop R., 2018, ADAPTATION FUTURES, DOI [10.15641/0-7992-2543-3, DOI 10.15641/0-7992-2543-3]
   Heikoop T. H., 2022, IOP Conference Series: Earth and Environmental Science, V955, DOI 10.1088/1755-1315/955/1/012019
   Khazai B, 2018, INT J DISAST RISK RE, V31, P604, DOI 10.1016/j.ijdrr.2018.06.012
   Ki D, 2021, LANDSCAPE URBAN PLAN, V205, DOI 10.1016/j.landurbplan.2020.103920
   Klobucar B, 2021, TREES FOREST PEOPLE, V5, DOI 10.1016/j.tfp.2021.100114
   Labdaoui K, 2021, SCI TOTAL ENVIRON, V795, DOI 10.1016/j.scitotenv.2021.148663
   Lacan I, 2020, URBAN FOR URBAN GREE, V54, DOI 10.1016/j.ufug.2020.126755
   Li HW, 2022, BUILD ENVIRON, V214, DOI 10.1016/j.buildenv.2022.108945
   Liu OY, 2021, SUSTAIN CITIES SOC, V68, DOI 10.1016/j.scs.2021.102772
   Liu Q, 2021, J CLEAN PROD, V288, DOI 10.1016/j.jclepro.2020.125111
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Mimet A, 2020, LANDSCAPE URBAN PLAN, V193, DOI 10.1016/j.landurbplan.2019.103671
   NASA Analyses Reveal, 2020, 2 WARM YEAR REC
   Restemeyer B, 2021, LAND-BASEL, V10, DOI 10.3390/land10010005
   Rotterdam G., 2021, ROTTERDAM WEATHER WO
   Sen S, 2020, TRANSPORT RES REC, V2674, P663, DOI 10.1177/0361198120919401
   Speak A, 2020, LANDSCAPE URBAN PLAN, V197, DOI 10.1016/j.landurbplan.2020.103748
   Stobbelaar DJ, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13063117
   UNDESA, 2018, World Urbanization Prospects: The 2018 Revision
   Urban, GREEN BLUE GRIDS RES
   Veciana J.M., 1994, SMES INT NETWORKS ST
   Wang YF, 2015, URBAN ECOSYST, V18, P1305, DOI 10.1007/s11252-015-0447-7
   Wang YF, 2014, BUILD ENVIRON, V77, P88, DOI 10.1016/j.buildenv.2014.03.021
   Weisburd D, 2004, CRIMINOLOGY, V42, P283, DOI 10.1111/j.1745-9125.2004.tb00521.x
   World Health Organization Regional Office for Europe, 2016, Urban Green Spaces and Health
   Yoders J., 2008, BUILD CONSTR, V49, P8
   Young C, 2020, LANDSCAPE URBAN PLAN, V198, DOI 10.1016/j.landurbplan.2020.103777
NR 55
TC 2
Z9 2
U1 1
U2 16
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD OCT
PY 2022
VL 14
IS 19
AR 12425
DI 10.3390/su141912425
PG 34
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 5G9XT
UT WOS:000867343400001
OA gold
DA 2025-01-10
ER

PT J
AU Kelly, R
   Kelly, U
AF Kelly, Rhys
   Kelly, Ute
TI Readiness assessment in flood risk management and climate adaptation: A
   mechanism for social innovation?
SO JOURNAL OF FLOOD RISK MANAGEMENT
LA English
DT Article; Early Access
DE climate adaptation; coastal erosion; community engagement; flooding;
   readiness assessment; social innovation; social-ecological systems;
   stakeholder engagement
AB This paper discusses the development and initial trials of a readiness assessment methodology intended to support more informed, ethical and effective processes of project development and stakeholder engagement within an evolving and increasingly challenging context of Flood and Coastal Erosion Risk Management (FCERM) in England and Wales. In particular, it considers how and to what extent this approach to readiness assessment can be considered an example of social innovation. Drawing on scholarship about social innovation, the paper also considers challenges within the design and implementation of readiness assessment processes. In turn, this supports an exploration of obstacles to and limitations of social innovation, particularly in the context of far-reaching social-ecological change.
C1 [Kelly, Rhys; Kelly, Ute] Univ Bradford, Dept Peace Studies & Int Dev, Bradford, England.
C3 University of Bradford
RP Kelly, U (corresponding author), Univ Bradford, Dept Peace Studies & Int Dev, Bradford, England.
EM u.kelly@bradford.ac.uk
FU Environment Agency [FRS17192]; Natural Resources Wales [FRS17192]; Defra
   [FRS17192]; Welsh Government [FRS17192]
FX Environment Agency, Grant/Award Number: FRS17192; Natural Resources
   Wales, Grant/Award Number: FRS17192; Defra, Grant/Award Number:
   FRS17192; Welsh Government, Grant/Award Number: FRS17192
CR Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Avelino F, 2019, TECHNOL FORECAST SOC, V145, P195, DOI 10.1016/j.techfore.2017.05.002
   Bovey H., 2023, READINESS ASSESSMENT
   Bushell S, 2017, ENERGY RES SOC SCI, V28, P39, DOI 10.1016/j.erss.2017.04.001
   de Kraker J, 2017, CURR OPIN ENV SUST, V28, P100, DOI 10.1016/j.cosust.2017.09.002
   Dryzek JonS., 2013, POLITICS EARTH, V3rd
   EA, 2023, WORK TOG AD CHANG CL
   EA, 2023, READ SELF ASS ADV HD
   EA, 2016, WORK OTH
   Franz H., 2012, CHALLENGE SOCIAL INN, V9783642328
   Hayes K, 2018, INT J MENT HEALTH SY, V12, DOI 10.1186/s13033-018-0210-6
   Kelly R., 2019, COMMUNITY ENGAGEMENT
   Kelly R., 2021, COOP CONFL, V27, DOI [10.46743/1082-7307/2021.1673, DOI 10.46743/1082-7307/2021.1673]
   Kelly R., 2023, READINESS ASSESSMENT
   Kelly R., 2023, USING FUTURE SCENARI
   Kelly R., 2023, DEV TOOLS READINESS
   Kelly U., 2023, DEV SIMULATION REV L
   Kelly U., 2023, WORKING TOGETHER ADA
   Krueger T, 2020, INNOVATION-ABINGDON, V33, P115, DOI 10.1080/13511610.2020.1733936
   Mehring P, 2022, J FLOOD RISK MANAG, V15, DOI 10.1111/jfr3.12768
   Moser S. C., 2013, SUCCESSFUL ADAPTATIO, P289
   Moulaert F, 2005, URBAN STUD, V42, P1969, DOI 10.1080/00420980500279893
   Pansera M, 2021, ORGANIZATION, V28, P380, DOI 10.1177/1350508420973631
   Priest S., 2021, SUPPORTING FLOOD COA
   RPA, 2022, EV FLOOD COAST RES I
   Sayers P, 2022, OCEAN COAST MANAGE, V225, DOI 10.1016/j.ocecoaman.2022.106187
   Susskind L., 2015, ACTION RES CLIMATE C
   Susskind L., 2015, Managing climate risks in coastal communities: Strategies for engagement, readiness and adaptation
   The Young Foundation, 2012, SOC INN OV DEL PROJ
   van der Have RP, 2016, RES POLICY, V45, P1923, DOI 10.1016/j.respol.2016.06.010
   van Wijk J, 2019, BUS SOC, V58, P887, DOI 10.1177/0007650318789104
   Westley F., 2008, SOCIAL INNOVATION DY
NR 32
TC 2
Z9 2
U1 0
U2 3
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1753-318X
J9 J FLOOD RISK MANAG
JI J. Flood Risk Manag.
PD 2023 MAY 4
PY 2023
DI 10.1111/jfr3.12915
EA MAY 2023
PG 11
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA F2SW8
UT WOS:000980906800001
OA gold
DA 2025-01-10
ER

PT J
AU Harman, BP
   Taylor, BM
   Lane, MB
AF Harman, Ben P.
   Taylor, Bruce M.
   Lane, Marcus B.
TI Urban partnerships and climate adaptation: challenges and opportunities
SO CURRENT OPINION IN ENVIRONMENTAL SUSTAINABILITY
LA English
DT Article
ID PUBLIC-PRIVATE PARTNERSHIPS; TRANSNATIONAL-MUNICIPAL-NETWORKS; REGIONAL
   PARTNERSHIPS; MULTILEVEL GOVERNANCE; REGENERATION; POLICY; AUSTRALIA;
   CITIES; UK; GOVERNMENT
AB Cooperation amongst public, private and civil society actors in the design and implementation of sustainability policies and practices are not new. Many characteristics of urban partnerships, as a diverse set of governance instruments, show potential to address the inherent risks and impacts associated with a changing climate. This review identifies and describes a number of existing and emergent urban partnerships from traditional infrastructure Public-Private Partnerships (PPPs) and urban regeneration through to cross-scalar policy networks. It examines the key challenges, and gaps, specific to adaptation that partnerships must embrace if they are to provide a valuable policy instrument for climate adaptation.
C1 [Harman, Ben P.; Taylor, Bruce M.] CSIRO, Land & Water Flagship, Dutton Pk, Qld, Australia.
   [Lane, Marcus B.] Griffith Univ, Arts Educ & Law Grp, Mt Gravatt, Qld 4122, Australia.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   Griffith University; Griffith University - Mount Gravatt Campus
RP Harman, BP (corresponding author), CSIRO, Land & Water Flagship, Dutton Pk, Qld, Australia.
EM ben.harman@csiro.au
RI Taylor, Bruce/C-5771-2011; Lane, Marcus/F-5076-2010; Harman,
   Ben/C-7171-2011
OI Lane, Marcus/0000-0002-6142-4320; Taylor, Bruce/0000-0002-7740-2898
CR Adams D, 2001, AUST J PUBL ADMIN, V60, P13, DOI 10.1111/1467-8500.00205
   Ahn YH, 2014, J GREEN BUILD, V9, P93, DOI 10.3992/1943-4618-9.1.93
   [Anonymous], 2005, CITIES CLIMATE CHANG, DOI DOI 10.4324/9780203219256
   [Anonymous], 2003, AUSTRALAS J REG STUD
   Bajracharya B, 2012, AUST J EMERG MANAG, V27, P27
   Ball M, 2005, HOUSING STUD, V20, P9, DOI 10.1080/0267303042000308705
   Acerete JB, 2010, AUST J PUBL ADMIN, V69, pS48, DOI 10.1111/j.1467-8500.2009.00654.x
   Bauer A, 2014, ENVIRON POLIT, V23, P818, DOI 10.1080/09644016.2014.924196
   Bauer A, 2014, GEOFORUM, V51, P121, DOI 10.1016/j.geoforum.2013.10.006
   Bauer A, 2012, J ENVIRON POL PLAN, V14, P279, DOI 10.1080/1523908X.2012.707406
   Beh LS, 2010, AUST J PUBL ADMIN, V69, pS74, DOI 10.1111/j.1467-8500.2009.00655.x
   Bennett E, 1999, PUBLIC PRIVATE PARTE
   Betsill M, 2007, LOCAL ENVIRON, V12, P447, DOI 10.1080/13549830701659683
   Blanken A, 2010, AUST J PUBL ADMIN, V69, pS35, DOI 10.1111/j.1467-8500.2009.00656.x
   Boydell L., 2007, PARTNERSHIPS LIT REV
   Broto VC, 2013, GLOBAL ENVIRON CHANG, V23, P92, DOI 10.1016/j.gloenvcha.2012.07.005
   Bulkeley H, 2013, T I BRIT GEOGR, V38, P361, DOI 10.1111/j.1475-5661.2012.00535.x
   Bulkeley H, 2010, ANNU REV ENV RESOUR, V35, P229, DOI 10.1146/annurev-environ-072809-101747
   Carley M., 2000, INT PLAN STUD, V5, P273, DOI DOI 10.1080/713672858
   Carmon N, 1999, GEOFORUM, V30, P145, DOI 10.1016/S0016-7185(99)00012-3
   Chen J, 2013, J CONTING CRISIS MAN, V21, P130, DOI 10.1111/1468-5973.12021
   Creech H, 2008, REPORT SEED INITIATI, P39
   Davies JS, 2002, PUBLIC ADMIN, V80, P301, DOI 10.1111/1467-9299.00305
   De Schepper S, 2014, INT J PROJ MANAG, V32, P1210, DOI 10.1016/j.ijproman.2014.01.006
   Frantzeskaki N, 2014, J CLEAN PROD, V65, P406, DOI 10.1016/j.jclepro.2013.09.023
   Glasbergen P:., 2007, Partnerships, Governance and Sustainable Development: Reflections on Theory and Practice, P314
   Glasbergen P, 2011, ENVIRON POLICY GOV, V21, P1, DOI 10.1002/eet.545
   Gleeson B, 2005, PUBLIC LAND AGENCIES, P31
   Grasman SE, 2014, INT J SUSTAIN TRANSP, V8, P399, DOI 10.1080/15568318.2012.708820
   Hayllar MR, 2010, AUST J PUBL ADMIN, V69, pS99, DOI 10.1111/j.1467-8500.2010.00675.x
   Hayllar MR, 2010, AUST J PUBL ADMIN, V69, pS1, DOI 10.1111/j.1467-8500.2009.00657.x
   Head BW, 2014, ENVIRON PLANN C, V32, P663, DOI 10.1068/c1240
   Hodge G, 2010, AUST J PUBL ADMIN, V69, pS8, DOI 10.1111/j.1467-8500.2009.00659.x
   Hodson M, 2009, INT J URBAN REGIONAL, V33, P193, DOI 10.1111/j.1468-2427.2009.00832.x
   Hutchinson J., 1998, Working in partnership: lessons from the literature
   Johnston J, 2010, AUST J PUBL ADMIN, V69, pS61, DOI 10.1111/j.1467-8500.2009.00660.x
   Jonas AEG, 2009, LOCAL GOV STUD, V35, P299, DOI 10.1080/03003930902854248
   Kern K, 2009, JCMS-J COMMON MARK S, V47, P309, DOI 10.1111/j.1468-5965.2009.00806.x
   Klijn EH, 2003, PUBLIC MONEY MANAGE, V23, P137, DOI 10.1111/1467-9302.00361
   Klijn EH, 2005, CHALLENGE OF PUBLIC-PRIVATE PARTNERSHIPS: LEARNING FROM INTERNATIONAL EXPERIENCE, P95
   Koppenjan JFM, 2015, CURR OPIN ENV SUST, V12, P30, DOI 10.1016/j.cosust.2014.08.010
   Kort M, 2013, LOCAL GOV STUD, V39, P89, DOI 10.1080/03003930.2012.683864
   Leck H, 2013, URBAN STUD, V50, P1221, DOI 10.1177/0042098012461675
   Mitchell JK, 2006, ANN AM ACAD POLIT SS, V604, P228, DOI 10.1177/0002716205286044
   Pierre Jon., 1998, PARTNERSHIPS URBAN G
   Ruming K, 2010, AUST GEOGR, V41, P447, DOI 10.1080/00049182.2010.519694
   Sagalyn LB, 2007, J AM PLANN ASSOC, V73, P7, DOI 10.1080/01944360708976133
   Schroeder H, 2013, ENVIRON PLANN C, V31, P761, DOI 10.1068/c3105ed
   Serrao-Neumann S, 2014, REG ENVIRON CHANGE, V14, P489, DOI 10.1007/s10113-013-0442-6
   Serrao-Neumann S, 2014, FUTURES
   Shapely P, 2013, INT J URBAN REGIONAL, V37, P1288, DOI 10.1111/j.1468-2427.2012.01113.x
   Taylor BM, 2013, GEOGR RES-AUST, V51, P292, DOI 10.1111/1745-5871.12011
   Toly NJ, 2008, GLOBALIZATIONS, V5, P341, DOI 10.1080/14747730802252479
   Van Huijstee M.M., 2007, Environmental Sciences, V4, P75, DOI DOI 10.1080/15693430701526336
   Vilaplana B, 1998, PARTNERSHIPS NETWORK, P24
   Watson V, 2009, PROG PLANN, V72, P151, DOI 10.1016/j.progress.2009.06.002
   Williams R, 2012, BR SOC GEOMORPHOL, P1
NR 57
TC 46
Z9 51
U1 2
U2 54
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 1877-3435
EI 1877-3443
J9 CURR OPIN ENV SUST
JI Curr. Opin. Environ. Sustain.
PD FEB
PY 2015
VL 12
BP 74
EP 79
DI 10.1016/j.cosust.2014.11.001
PG 6
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA CA3XQ
UT WOS:000348838800013
DA 2025-01-10
ER

PT J
AU Pham, TTT
   Fridriksdóttir, R
   Weber, CT
   Vidarsson, JR
   Papandroulakis, N
   Baudron, AR
   Olsen, P
   Hansen, JA
   Laksá, U
   Fernandes, PG
   Bahri, T
   Ragnarsson, SÖ
   Aschan, M
AF Thuy Thi Thanh Pham
   Fridriksdottir, Ragnhildur
   Weber, Charlotte T.
   Vidarsson, Jonas R.
   Papandroulakis, Nikos
   Baudron, Alan R.
   Olsen, Petter
   Hansen, Juliana A.
   Laksa, Unn
   Fernandes, Paul G.
   Bahri, Tarub
   Ragnarsson, Sigurdur O.
   Aschan, Michaela
TI Guidelines for co-creating climate adaptation plans for fisheries and
   aquaculture
SO CLIMATIC CHANGE
LA English
DT Article
DE Climate change; Adaptation measures; Vulnerability; Co-creation;
   Sustainability
AB Climate change is having a significant impact on the biology and ecology of fish stocks and aquaculture species and will affect the productivity within seafood supply chains in the future. The challenges are further amplified when actors within the fisheries and aquaculture sectors have very different ideas and assumptions about climate change and what risks and opportunities they entail. In order to address the challenges of climate change, several countries have developed national adaptation plans. However, fisheries and aquaculture are rarely included in these plans, resulting in a general lack of documented adaptation strategies within these sectors in most countries. This paper introduces guidelines for the development of climate adaptation plans (CAPs) within fisheries and aquaculture, applying a co-creation approach that requires the participation of scientists, industry representatives, policymakers, and other relevant stakeholders. The objective is to provide a stepwise approach to facilitate and enable stakeholders to plan strategies toward climate adaptation. The guidelines are based on practical experience and include a three-step process: (1) assessment of risks and opportunities; (2) identification of adaptation measures, and (3) operationalization of CAPs. The three-step process is also part of a larger cycle, including implementation, monitoring, and evaluation, again generating iterative feedback loops over time. Lessons learned are discussed, and we highlight the advantages and challenges of developing CAPs. While the guidelines are designed for and tested within fisheries and aquaculture systems, the CAP approach is also employable for other natural resource-based systems.
C1 [Thuy Thi Thanh Pham; Weber, Charlotte T.; Aschan, Michaela] Univ Tromso, Arctic Univ Norway, Tromso, Norway.
   [Fridriksdottir, Ragnhildur; Vidarsson, Jonas R.; Ragnarsson, Sigurdur O.] Matis, Reykjavik, Iceland.
   [Weber, Charlotte T.] Akvaplan Niva AS, Fram Ctr, Tromso, Norway.
   [Papandroulakis, Nikos] Hellen Ctr Marine Res, Iraklion, Greece.
   [Baudron, Alan R.; Fernandes, Paul G.] Univ Aberdeen, Sch Biol Sci, Aberdeen, Scotland.
   [Olsen, Petter] Nofima, Tromso, Norway.
   [Hansen, Juliana A.; Laksa, Unn] Syntesa, Faroe Isl, Norway.
   [Bahri, Tarub] FAO, Rome, Italy.
C3 UiT The Arctic University of Tromso; Akvaplan-niva; Hellenic Centre for
   Marine Research; University of Aberdeen; Nofima; Food & Agriculture
   Organization of the United Nations (FAO)
RP Pham, TTT (corresponding author), Univ Tromso, Arctic Univ Norway, Tromso, Norway.
EM thanh.thuy@uit.no
RI Papandroulakis, Nikos/A-9992-2013; Fernandes, Paul/H-2972-2013
OI Laksa, Unn/0000-0002-5782-4858; Arias, Juliana/0000-0002-8961-9023;
   Fridriksdottir, Ragnhildur/0000-0002-8684-0136; Pham,
   Thuy/0000-0003-4987-4879; Vidarsson, Jonas R./0000-0003-2666-2259;
   Fernandes, Paul/0000-0003-4135-115X
FU UiT The Arctic University of Norway (University Hospital of North
   Norway); EU Horizon 2020 project ClimeFish [677039]
FX Open access funding provided by UiT The Arctic University of Norway
   (incl University Hospital of North Norway). This work was supported by
   the EU Horizon 2020 project ClimeFish (Grant Agreement No. 677039).
CR Anderson SC, 2017, FISH FISH, V18, P732, DOI 10.1111/faf.12200
   [Anonymous], 2009, Trans. Am. Geophys. Union, DOI DOI 10.1029/2009EO130003
   [Anonymous], 2010, The UKCIP adaptation wizard V 3.0
   [Anonymous], 2015, ASSESSING CLIMATE CH
   [Anonymous], 1998, SUSTAINABLE RURAL LI
   Aune M, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0207451
   Ballesteros M, 2018, ICES J MAR SCI, V75, P519, DOI 10.1093/icesjms/fsx181
   Barange M., 2018, FAO FISH AQUAC TECH
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Barsley W., 2013, FAO FISHERIES AQUACU
   Baudron AR, 2019, FISH RES, V211, P217, DOI 10.1016/j.fishres.2018.10.024
   Baudron AR, 2015, FISH FISH, V16, P563, DOI 10.1111/faf.12079
   Berkes Fikret., 2011, Restoring Unity: The Concept of Marine Social-Ecological Systems, P9, DOI [DOI 10.1002/9781444392241.CH2, 10.1002/9781444392241.ch2]
   Blanchet MA, 2019, FISH RES, V209, P251, DOI 10.1016/j.fishres.2018.09.004
   Bostrom M., 2012, Sustainability: Science, Practice & Policy, V8, P1
   CEN, 2020, CEN WORKSHOP AGREEME
   Climate-ADAPT, 2019, ADAPTATION SUPPORT T
   De Silva S, 2009, FAO FISHERIES TECHNI
   Dowling NA, 2020, ECOL MODEL, V435, DOI 10.1016/j.ecolmodel.2020.109243
   EC, 2013, EU GUIDELINES ADAPTA
   EC, 2018, Report from the commission to the European Parliament and the Council on the possibility of introducing certain requirements regarding the protection of fish at the time of killing, 2018
   EC, 2007, ADAPTING CLIMATE CHA
   FAO, 2019, FAO's Work on Climate Change
   Fernandes PG, 2020, CONSERV LETT, V13, DOI 10.1111/conl.12702
   Fletcher WJ, 2015, ICES J MAR SCI, V72, P1043, DOI 10.1093/icesjms/fsu142
   Garcia RA, 2014, SCIENCE, V344, P486, DOI 10.1126/science.1247579
   Garcia SM, 2000, MAR FRESHWATER RES, V51, P385, DOI 10.1071/MF99092
   Grafton RQ, 2010, MAR POLICY, V34, P606, DOI 10.1016/j.marpol.2009.11.011
   Gramberger M., 2001, Citizens as partners: OECD handbook on information, consultation and public participation in policy-making
   Gupta J, 2010, ENVIRON SCI POLICY, V13, P459, DOI 10.1016/j.envsci.2010.05.006
   Hobday AJ, 2011, FISH RES, V108, P372, DOI 10.1016/j.fishres.2011.01.013
   Holsman KK, 2016, DEEP-SEA RES PT II, V134, P360, DOI 10.1016/j.dsr2.2015.08.001
   Intergovernmental Panel Climate Change Working Grp III, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P1
   International Fund for Agricultural Development (IFAD), 2014, GUIDELINES INTEGRATI
   Jasanoff S., 1990, 5 BRANCH SCI ADVISER
   Johnson JE, 2016, MAR POLICY, V74, P220, DOI 10.1016/j.marpol.2016.09.024
   Kortsch S, 2019, ECOGRAPHY, V42, P295, DOI 10.1111/ecog.03443
   Lockwood M, 2015, ECOL SOC, V20, DOI 10.5751/ES-07203-200137
   Luyet V, 2012, J ENVIRON MANAGE, V111, P213, DOI 10.1016/j.jenvman.2012.06.026
   Metcalf SJ, 2015, ECOL SOC, V20, DOI 10.5751/ES-07509-200235
   Newton A, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00230
   Oppenheimer M, 2015, CONTRIBUTION WORKING, DOI [10.1017/CBO9781107415379.024, DOI 10.1017/CBO9781107415379.024]
   Ostrom E, 2009, SCIENCE, V325, P419, DOI 10.1126/science.1172133
   Owen G, 2020, GLOBAL ENVIRON CHANG, V62, DOI 10.1016/j.gloenvcha.2020.102071
   Portner H.-O., 2019, INIPCC SPECIAL REPOR, DOI [DOI 10.1017/9781009157964.004, 10.1017/9781009157964]
   Preston BL, 2011, MITIG ADAPT STRAT GL, V16, P407, DOI 10.1007/s11027-010-9270-x
   Renn O, 2015, RISK GOVERNANCE: THE ARTICULATION OF HAZARD, POLITICS AND ECOLOGY, P19, DOI 10.1007/978-94-017-9328-5_2
   Rindorf A, 2017, ICES J MAR SCI, V74, P453, DOI 10.1093/icesjms/fsw226
   Serpetti N, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-13220-7
   Smithwick E.A.H., 2019, Collaboration across boundaries for social -ecological systems science, P153
   Stavrakidis-Zachou O, 2019, J SEA RES, V143, P262, DOI 10.1016/j.seares.2018.05.008
   Stephenson RL, 2018, FISH FISH, V19, P853, DOI 10.1111/faf.12296
   van Vliet M, 2010, FUTURES, V42, P1, DOI 10.1016/j.futures.2009.08.005
   Watkiss P., 2019, FAO Fisheries and Aquaculture Technical Paper No. 650
   Wigand Cathleen, 2017, Estuaries Coast, V40, P682
   Worldfish, 2007, CLIMATE CHANGE ADAPT
NR 56
TC 6
Z9 6
U1 1
U2 18
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD FEB 27
PY 2021
VL 164
IS 3-4
AR 62
DI 10.1007/s10584-021-03041-z
PG 20
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA QQ1ZJ
UT WOS:000624325100002
OA hybrid
DA 2025-01-10
ER

PT J
AU Batz, ZA
   Clemento, AJ
   Fritzenwanker, J
   Ring, TJ
   Garza, JC
   Armbruster, PA
AF Batz, Zachary A.
   Clemento, Anthony J.
   Fritzenwanker, Jens
   Ring, Timothy J.
   Garza, John Carlos
   Armbruster, Peter A.
TI Rapid adaptive evolution of the diapause program during range expansion
   of an invasive mosquito
SO EVOLUTION
LA English
DT Article
DE Adaptation; diapause; life history evolution; phenotypic plasticity
ID AEDES-ALBOPICTUS DIPTERA; LIFE-HISTORY TRAITS; CHILL COMA RECOVERY;
   GEOGRAPHIC-VARIATION; COLD-HARDINESS; REPRODUCTIVE DIAPAUSE; CLIMATIC
   ADAPTATION; OXYGEN-CONSUMPTION; THERMAL TOLERANCE; GENE FLOW
AB In temperate climates, the recurring seasonal exigencies of winter represent a fundamental physiological challenge for a wide range of organisms. In response, many temperate insects enter diapause, an alternative developmental program, including developmental arrest, that allows organisms to synchronize their life cycle with seasonal environmental variation. Geographic variation in diapause phenology contributing to local climatic adaptation is well documented. However, few studies have examined how the rapid evolution of a suite of traits expressed across the diapause program may contribute to climatic adaptation on a contemporary timescale. Here, we investigate the evolution of the diapause program over the past 35 years by leveraging a "natural experiment" presented by the recent invasion of the Asian tiger mosquito,Aedes albopictus, across the eastern United States. We sampled populations from two distinct climatic regions separated by 6 degrees of latitude (similar to 700 km). Using common-garden experiments, we identified regional genetic divergence in diapause-associated cold tolerance, diapause duration, and postdiapause starvation tolerance. We also found regional divergence in nondiapause thermal performance. In contrast, we observed minimal regional divergence in nondiapause larval growth traits and at neutral molecular marker loci. Our results demonstrate rapid evolution of the diapause program and imply strong selection caused by differences in winter conditions.
C1 [Batz, Zachary A.; Fritzenwanker, Jens; Ring, Timothy J.; Armbruster, Peter A.] Georgetown Univ, Dept Biol, Washington, DC 20057 USA.
   [Batz, Zachary A.] NEI, Neurobiol Neurodegenerat & Repair Lab, NIH, 6 Ctr Dr,Room 307, Bethesda, MD 20892 USA.
   [Batz, Zachary A.; Garza, John Carlos] Univ Calif Santa Cruz, Inst Marine Sci, Santa Cruz, CA 95064 USA.
   [Clemento, Anthony J.; Garza, John Carlos] Univ Calif Santa Cruz, Dept Ocean Sci, Santa Cruz, CA 95064 USA.
C3 Georgetown University; National Institutes of Health (NIH) - USA; NIH
   National Eye Institute (NEI); University of California System;
   University of California Santa Cruz; University of California System;
   University of California Santa Cruz
RP Batz, ZA (corresponding author), Georgetown Univ, Dept Biol, Washington, DC 20057 USA.
EM zab7@georgetown.edu
OI Ring, Timothy/0000-0002-0062-5145; Batz, Zachary/0000-0002-4483-2402
FU Cosmos Club Foundation of Washington D.C.; National Institute of Health
   [1R01AI132409-01A1]; Davis Family Endowment
FX ZB and PA conceived of and designed the study. ZB and TR performed the
   animal husbandry. ZB and JF carried out the phenotypic experiments. ZB
   identified the microhaplotype targets. AC and JCG performed the
   genotyping. ZB and AC performed the data analyses. ZB and PA drafted the
   initial manuscript. All authors contributed to manuscript revision and
   approved of the submitted version. We thank L. Ries, A. Rosenwald, S.
   Cook, A. Mushegian, J. Boyle, and four anonymous reviewers for helpful
   comments on previous version of this manuscript. We also thank E.
   Campbell, C. Columbus, and E. Correa for assistance with genetic data
   generation and E. Anderson for assistance with genetic data analyses.
   This work was supported by funds from the Cosmos Club Foundation of
   Washington D.C. to ZB and National Institute of Health grant
   1R01AI132409-01A1 and the Davis Family Endowment to PAA. Upon
   acceptance, data associated with this project will be available in the
   Dryad Data Repository at the following URL: .
CR Addo-Bediako A, 2000, P ROY SOC B-BIOL SCI, V267, P739, DOI 10.1098/rspb.2000.1065
   ANDREWARTHA HG, 1952, BIOL REV, V27, P50, DOI 10.1111/j.1469-185X.1952.tb01363.x
   Araujo M.B., 2013, Ecology, V89, P2712
   Armbruster P, 2006, ANN ENTOMOL SOC AM, V99, P1234, DOI 10.1603/0013-8746(2006)99[1234:GVOLGI]2.0.CO;2
   Baetscher DS, 2018, MOL ECOL RESOUR, V18, P296, DOI 10.1111/1755-0998.12737
   Bale JS, 2010, J EXP BIOL, V213, P980, DOI 10.1242/jeb.037911
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Batz ZA, 2018, J EXP BIOL, V221, DOI 10.1242/jeb.189480
   Benedict MQ, 2007, VECTOR-BORNE ZOONOT, V7, P76, DOI 10.1089/vbz.2006.0562
   Bradshaw WE, 2004, EVOLUTION, V58, P1748, DOI 10.1111/j.0014-3820.2004.tb00458.x
   Bush A, 2016, ECOL LETT, V19, P1468, DOI 10.1111/ele.12696
   Campbell NR, 2015, MOL ECOL RESOUR, V15, P855, DOI 10.1111/1755-0998.12357
   Chang LH, 2007, J MED ENTOMOL, V44, P205, DOI 10.1603/0022-2585(2007)44[205:DSOAAA]2.0.CO;2
   Chen YS, 2013, J INSECT PHYSIOL, V59, P855, DOI 10.1016/j.jinsphys.2013.06.002
   Danilevsky A.S., 1965, PHOTOPERIODISM SEASO
   Danks HV., 1987, INSECT DORMANCY ECOL
   David RJ, 1998, J THERM BIOL, V23, P291, DOI 10.1016/S0306-4565(98)00020-5
   Delatte H, 2009, J MED ENTOMOL, V46, P33, DOI 10.1603/033.046.0105
   Denlinger DL, 2002, ANNU REV ENTOMOL, V47, P93, DOI 10.1146/annurev.ento.47.091201.145137
   Diamond SE, 2018, CURR OPIN INSECT SCI, V29, P85, DOI 10.1016/j.cois.2018.07.009
   EWENS WJ, 1972, THEOR POPUL BIOL, V3, P87, DOI 10.1016/0040-5809(72)90035-4
   Excoffier L, 2010, MOL ECOL RESOUR, V10, P564, DOI 10.1111/j.1755-0998.2010.02847.x
   Gaston KJ, 1999, OIKOS, V86, P584, DOI 10.2307/3546663
   GAYLOR DW, 2006, ENCY STAT SCI
   Gibert P, 2001, EVOLUTION, V55, P1063, DOI 10.1554/0014-3820(2001)055[1063:CCTAMC]2.0.CO;2
   Hahn DA, 2011, ANNU REV ENTOMOL, V56, P103, DOI 10.1146/annurev-ento-112408-085436
   Hahn MB, 2016, J MED ENTOMOL, V53, P1169, DOI 10.1093/jme/tjw072
   HAWLEY WA, 1989, J MED ENTOMOL, V26, P122, DOI 10.1093/jmedent/26.2.122
   HAWLEY WA, 1987, SCIENCE, V236, P1114, DOI 10.1126/science.3576225
   Hoffmann AA, 2002, ECOL LETT, V5, P614, DOI 10.1046/j.1461-0248.2002.00367.x
   Hoffmann AA, 2011, NATURE, V470, P479, DOI 10.1038/nature09670
   Hoffmann Ary A., 1991, Evolutionary Genetics and Environmental Stress
   Huang X, 2015, PLOS NEGLECT TROP D, V9, DOI 10.1371/journal.pntd.0003724
   Huey RB, 2001, AM NAT, V158, P204, DOI 10.1086/321314
   HUEY RB, 1989, TRENDS ECOL EVOL, V4, P131, DOI 10.1016/0169-5347(89)90211-5
   Hufkens K, 2018, METHODS ECOL EVOL, V9, P1276, DOI 10.1111/2041-210X.12970
   Johnston I.A., 1996, ANIMALS TEMPERATURE
   Jombart T, 2011, BIOINFORMATICS, V27, P3070, DOI 10.1093/bioinformatics/btr521
   Kahle D, 2013, R J, V5, P144
   Kalushkov P, 2000, EUR J ENTOMOL, V97, P149, DOI 10.14411/eje.2000.027
   Kidd KK, 2014, FORENSIC SCI INT-GEN, V12, P215, DOI 10.1016/j.fsigen.2014.06.014
   Kimura MT, 1988, FUNCT ECOL, V2, P177, DOI 10.2307/2389693
   Kimura MT, 2004, OECOLOGIA, V140, P442, DOI 10.1007/s00442-004-1605-4
   Kingsolver JG, 2013, FUNCT ECOL, V27, P1415, DOI 10.1111/1365-2435.12145
   Kostál V, 2006, J INSECT PHYSIOL, V52, P113, DOI 10.1016/j.jinsphys.2005.09.008
   Kotsakiozi P, 2017, ECOL EVOL, V7, P10143, DOI 10.1002/ece3.3514
   KOVEOS DS, 1993, PHYSIOL ENTOMOL, V18, P50, DOI 10.1111/j.1365-3032.1993.tb00448.x
   Kuznetsova A, 2017, J STAT SOFTW, V82, P1, DOI 10.18637/jss.v082.i13
   Lehmann P, 2016, J EXP BIOL, V219, P3049, DOI 10.1242/jeb.142687
   Lehmann P, 2015, EVOL ECOL, V29, P269, DOI 10.1007/s10682-015-9755-x
   Leisnham PT, 2009, ECOLOGY, V90, P2405, DOI 10.1890/08-1569.1
   Lounibos LP, 2011, J AM MOSQUITO CONTR, V27, P433, DOI 10.2987/11-6164.1
   Macdonald SS, 2004, J INSECT PHYSIOL, V50, P695, DOI 10.1016/j.jinsphys.2004.05.004
   MANLY BFJ, 1985, J ROY SOC NEW ZEAL, V15, P411, DOI 10.1080/03036758.1985.10421719
   Manni M, 2017, PLOS NEGLECT TROP D, V11, DOI 10.1371/journal.pntd.0005332
   Masaki S., 1965, Bulletin of Faculty of Agriculture, Hirosaki University, V11, P59
   Medley KA, 2019, J APPL ECOL, V56, P2518, DOI 10.1111/1365-2664.13480
   Medley KA, 2015, MOL ECOL, V24, P284, DOI 10.1111/mec.12925
   MESSENGER PS, 1959, ANNU REV ENTOMOL, V4, P183, DOI 10.1146/annurev.en.04.010159.001151
   PUMPUNI CB, 1989, THESIS
   R Core Team, 2019, R LANG ENV STAT COMP
   Ragland GJ, 2008, EVOL ECOL RES, V10, P29
   Ragland GJ, 2009, J INSECT PHYSIOL, V55, P344, DOI 10.1016/j.jinsphys.2008.12.013
   Reynolds JA, 2012, J INSECT PHYSIOL, V58, P966, DOI 10.1016/j.jinsphys.2012.04.013
   Ritz C, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0146021
   Robinet C, 2010, INTEGR ZOOL, V5, P132, DOI 10.1111/j.1749-4877.2010.00196.x
   Rousset F, 1997, GENETICS, V145, P1219
   Schmidt PS, 2008, EVOLUTION, V62, P1204, DOI 10.1111/j.1558-5646.2008.00351.x
   Schmidt PS, 2006, EVOLUTION, V60, P1602, DOI 10.1111/j.0014-3820.2006.tb00505.x
   Schmidt PS, 2005, EVOLUTION, V59, P1721, DOI 10.1111/j.0014-3820.2005.tb01821.x
   SELYE H., 1956, The Stress of Life
   Sinclair BJ, 2012, PHYSIOL BIOCHEM ZOOL, V85, P594, DOI 10.1086/665388
   Singtripop T, 2007, J INSECT PHYSIOL, V53, P933, DOI 10.1016/j.jinsphys.2007.03.005
   SLATKIN M, 1989, EVOLUTION, V43, P1349, DOI [10.1111/j.1558-5646.1989.tb02587.x, 10.2307/2409452]
   SPRENGER D, 1986, J AM MOSQUITO CONTR, V2, P217
   Sunday JM, 2011, P ROY SOC B-BIOL SCI, V278, P1823, DOI 10.1098/rspb.2010.1295
   Tanaka K, 1997, J INSECT PHYSIOL, V43, P271, DOI 10.1016/S0022-1910(96)00091-1
   Tauber M.J., 1986, Seasonal Adaptations of Insects
   Thorton P.E., 2016, Daymet: Daily surface weather data on a 1-km grid for North America, version 3
   TRPI M, 1970, CAN J ZOOL, V4, P4
   Urbanski J, 2012, AM NAT, V179, P490, DOI 10.1086/664709
   Wang XP, 2012, INSECT SCI, V19, P295, DOI 10.1111/j.1744-7917.2011.01473.x
   Wickham H., 2009, ggplot2: Elegant Graphics for Data Analysis, DOI [10.1007/978-0-387-98141-3, 10.1007/978-3-319-24277-4]
   Williams CM, 2015, FUNCT ECOL, V29, P549, DOI 10.1111/1365-2435.12360
   WIPKING W, 1995, J INSECT PHYSIOL, V41, P47, DOI 10.1016/0022-1910(94)00079-V
   Wright S, 1943, GENETICS, V28, P114
   Xie HC, 2015, INSECT SCI, V22, P578, DOI 10.1111/1744-7917.12137
   Yeh FC, 1997, POPGENE, the user-friendly shareware for populationgenetic analysis
   Zani PA, 2005, ECOLOGY, V86, P1206, DOI 10.1890/04-1248
NR 89
TC 34
Z9 37
U1 5
U2 34
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 0014-3820
EI 1558-5646
J9 EVOLUTION
JI Evolution
PD JUL
PY 2020
VL 74
IS 7
BP 1451
EP 1465
DI 10.1111/evo.14029
EA JUN 2020
PG 15
WC Ecology; Evolutionary Biology; Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Evolutionary Biology; Genetics &
   Heredity
GA MN3XS
UT WOS:000540383900001
PM 32490563
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Kurniawan, TA
   Pasaribu, B
   Kusworo, TD
   Wibisono, Y
   Goh, HH
   Zhang, DD
   Ali, I
   Aziz, F
   Anouzla, A
   Sarangi, PK
   Mahmoud, M
   Othman, MHD
   Al-Sultan, GA
   Casila, JCC
AF Kurniawan, Tonni Agustiono
   Pasaribu, Buntora
   Kusworo, Tutuk Djoko
   Wibisono, Yusuf
   Goh, Hui Hwang
   Zhang, Dongdong
   Ali, Imran
   Aziz, Faissal
   Anouzla, Abdelkader
   Sarangi, Prakash Kumar
   Mahmoud, Mohamed
   Othman, Mohd Hafiz Dzarfan
   Al-Sultan, Ghassan Abdulkarem
   Casila, Joan Cecilia C.
TI Building Disaster Resilience in Thousand Islands (Indonesia): Unlocking
   Climate Adaptation Strategies to Navigate Sea Level Rise in Coastal
   Regions while Safeguarding Crop Productivity and Local Biodiversity
SO ACS ES&T WATER
LA English
DT Article
DE biodiversity conservation; climate adaptation; coastal resilience; sea
   level rise; Southeast Asia
ID WATER; MANAGEMENT; CITY
AB Climate change causes sea levels to rise, threatening the lives of people living on coastal islands. However, none has studied how communities can adapt to the changing environment and build climate resilience. To address this issue, the work unlocks adaptation strategies for climate-induced sea level rise in coastal islands. The Thousand Islands (Indonesia) was used as a case study due to their low-lying areas and reliance on agriculture. This work identifies best practices and local challenges due to climate change that could be applicable to other coastal regions. Data collection was undertaken through semistructured interviews with stakeholders. It is evident that adaptation strategies in coastal regions need to be participatory due to the importance of local knowledge and community empowerment. Community's adaptation initiatives include mangrove restoration and giant seawall construction. There was a 15% increase in species richness and a 10% increase in ecosystem resilience in areas where adaptive measures were applied. The barriers of climate adaptation cover the lack of resources and institutional constraints. It is crucial for the government to collaborate with stakeholders to implement climate adaptation strategies based on local needs. Overall, this work highlights the need for regional collaboration to tackle climate impacts on the rising sea level in coastal areas.
C1 [Kurniawan, Tonni Agustiono] Xiamen Univ, Coll Environm & Ecol, Xiamen 361102, Fujian, Peoples R China.
   [Pasaribu, Buntora] Padjajaran Univ, Fac Fisheries & Marine Sci, Dept Marine Sci, Bandung 45363, Indonesia.
   [Kusworo, Tutuk Djoko] Diponegoro Univ, Dept Chem Engn, Semarang 50275, Indonesia.
   [Wibisono, Yusuf] Brawijaya Univ, Dept Bioproc Engn, Malang 65145, Indonesia.
   [Goh, Hui Hwang; Zhang, Dongdong] Guangxi Univ, Sch Elect Engn, Nanning 530004, Guangxi, Peoples R China.
   [Ali, Imran] Jamia Millia Islamia, Dept Chem, Jamia Nagar, New Delhi 110025, India.
   [Aziz, Faissal] Cadi Ayyad Univ, Fac Sci Semlalia, Lab Water Biodivers & Climate Changes, Marrakech 40000, Morocco.
   [Anouzla, Abdelkader] Hassan II Univ, Fac Sci & Technol, Lab Proc Engn & Environm, Mohammadia 28806, Morocco.
   [Sarangi, Prakash Kumar] Cent Agr Univ, Coll Agr, Imphal 795004, Manipur, India.
   [Mahmoud, Mohamed] Natl Res Ctr, Water Pollut Res Dept, Cairo 12311, Egypt.
   [Othman, Mohd Hafiz Dzarfan] Univ Teknol Malaysia, Fac Chem & Energy Engn, Adv Membrane Technol Res Ctr, Johor Baharu 81310, Malaysia.
   [Al-Sultan, Ghassan Abdulkarem] Univ Putra Malaysia UPM, Fac Sci, Catalysis Sci & Technol Res Ctr, Serdang 43400, Selangor, Malaysia.
   [Casila, Joan Cecilia C.] Univ Philippines, Land & Water Resources Engn Div, IABE, CEAT, Laguna 4031, Philippines.
C3 Xiamen University; Universitas Padjadjaran; Diponegoro University;
   Brawijaya University; Guangxi University; Jamia Millia Islamia; Cadi
   Ayyad University of Marrakech; Hassan II University of Casablanca;
   Egyptian Knowledge Bank (EKB); National Research Centre (NRC);
   Universiti Teknologi Malaysia; Universiti Putra Malaysia; University of
   the Philippines System; University of the Philippines Los Banos
RP Kurniawan, TA (corresponding author), Xiamen Univ, Coll Environm & Ecol, Xiamen 361102, Fujian, Peoples R China.
EM tonni@xmu.edu.cn
RI Kurniawan, Tonni Agustiono/B-8172-2008; ANOUZLA,
   Abdelkader/AAO-3329-2020; Ali, Imran/JEP-7818-2023; Kusworo,
   Tutuk/AAG-5526-2019; Casila, Joan/AAB-6749-2019; Aziz,
   Faissal/AAH-6594-2021; GOH, HUI HWANG/GSD-2553-2022; Sarangi, Dr Prakash
   Kumar/AAA-4809-2022; Zhang, Dongdong/J-2354-2019; Goh, Hui
   Hwang/D-6206-2019; Mahmoud, Mohamed/D-5199-2011; Ali, Imran/F-7710-2010
OI Goh, Hui Hwang/0000-0003-3220-7631; Aziz, Faissal/0000-0001-9144-6400;
   SARANGI, PRAKASH KUMAR/0000-0003-2189-8828; Mahmoud,
   Mohamed/0000-0002-8767-9743; Ali, Imran/0000-0001-6511-8374
CR Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Aldrian, 2022, REPORT IMPACT CLIMAT, V49, P51
   Aldrian E, 2003, INT J CLIMATOL, V23, P1435, DOI 10.1002/joc.950
   Cao A, 2021, CURR OPIN ENV SUST, V50, P87, DOI 10.1016/j.cosust.2021.02.010
   Ardhianie N, 2022, H2OPEN J, V5, P221, DOI 10.2166/h2oj.2022.076
   Barbieri M, 2023, ENVIRON GEOCHEM HLTH, V45, P1133, DOI 10.1007/s10653-021-01140-5
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   De Silva CS, 2007, AGR WATER MANAGE, V93, P19, DOI 10.1016/j.agwat.2007.06.003
   Emam AR, 2016, WATER-SUI, V8, DOI 10.3390/w8120559
   Fekete A, 2022, LAND USE POLICY, V120, DOI 10.1016/j.landusepol.2022.106230
   Ficklin DL, 2017, J GEOPHYS RES-ATMOS, V122, P2061, DOI 10.1002/2016JD025855
   Fu D, 2023, CHEM ENG SCI, V281, DOI 10.1016/j.ces.2023.119145
   Fu D, 2022, IND ENG CHEM RES, V61, P8847, DOI 10.1021/acs.iecr.2c01100
   Fu D, 2022, MATERIALS, V15, DOI 10.3390/ma15124365
   Fu D, 2019, CHEM ENG J, V355, P650, DOI 10.1016/j.cej.2018.08.188
   Fu D, 2017, J MOL LIQ, V248, P112, DOI 10.1016/j.molliq.2017.10.020
   Fulazzaky MA, 2014, WATER-SUI, V6, P2000, DOI 10.3390/w6072000
   Gentilucci M, 2019, WATER-SUI, V11, DOI 10.3390/w11091948
   Gentilucci M, 2018, GEOSCIENCES, V8, DOI 10.3390/geosciences8060202
   Griffith AW, 2020, HARMFUL ALGAE, V91, DOI 10.1016/j.hal.2019.03.008
   Hadipuro W, 2009, WATER POLICY, V11, P55, DOI 10.2166/wp.2009.008
   Han SX, 2023, WATER SUPPLY, V23, P4539, DOI 10.2166/ws.2023.298
   Handayani D., 2019, J ULTIMATE PUBLIC HL, V3, P225, DOI [10.22236/jump-health.v3.i2.p%25p, DOI 10.22236/JUMP-HEALTH.V3I2.P225-227]
   Hasbiah AW, 2019, IOP C SER EARTH ENV, V245, DOI 10.1088/1755-1315/245/1/012030
   Hawken S, 2021, CITIES, V113, DOI 10.1016/j.cities.2020.103068
   Herlinda D, 2020, IOP C SER EARTH ENV, V469, DOI 10.1088/1755-1315/469/1/012030
   Ikhzan Jazaul, 2021, Journal of Physics: Conference Series, V1858, DOI 10.1088/1742-6596/1858/1/012058
   Iskanda I, 2020, PROG EARTH PLANET SC, V7, DOI 10.1186/s40645-020-00334-2
   Kopp RE, 2017, EARTHS FUTURE, V5, P1217, DOI 10.1002/2017EF000663
   Kordana S, 2020, SCI TOTAL ENVIRON, V727, DOI 10.1016/j.scitotenv.2020.138711
   Kulp SA, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12808-z
   Kurniawan TA, 2024, WATER SUPPLY, V24, P517, DOI 10.2166/ws.2024.008
   Kurniawan TA, 2022, J CLEAN PROD, V363, DOI 10.1016/j.jclepro.2022.132452
   Kurniawan TA, 2013, J CLEAN PROD, V58, P43, DOI 10.1016/j.jclepro.2013.08.002
   Kurniawan TA, 2011, SEP SCI TECHNOL, V46, P460, DOI 10.1080/01496395.2010.512030
   Liang X, 2022, J CLEAN PROD, V369, DOI 10.1016/j.jclepro.2022.133297
   Liang X, 2022, J CLEAN PROD, V369, DOI 10.1016/j.jclepro.2022.133078
   Margono BA, 2014, GEO-SPAT INF SCI, V17, P60, DOI 10.1080/10095020.2014.898560
   Maryono A, 2022, INT J HYDROL SCI TEC, V13, P1, DOI [10.1504/IJHST.2022.119272, 10.1504/IJHST.2021.10038836]
   Najafzadeh M, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15092359
   NOAA (National Oceanic and Atmospheric Administration), 2020, LAB SATELLITE ALTIME
   Nunn PD, 2013, SINGAPORE J TROP GEO, V34, P143, DOI 10.1111/sjtg.12021
   Pawitan H., 2011, Ecohydrology and Hydrobiology, V11, P231
   Piranti AS, 2021, J ECOL ENG, V22, P156, DOI 10.12911/22998993/135863
   Premakumara DGJ, 2014, WASTE MANAGE, V34, P971, DOI 10.1016/j.wasman.2013.10.040
   Ptak EN, 2020, WATER-SUI, V12, DOI 10.3390/w12092371
   Quevedo-Castro A, 2022, J ENVIRON MANAGE, V322, DOI 10.1016/j.jenvman.2022.116137
   Satalová B, 2017, SCI TOTAL ENVIRON, V599, P1082, DOI 10.1016/j.scitotenv.2017.04.227
   Schlenker W, 2009, P NATL ACAD SCI USA, V106, P15594, DOI 10.1073/pnas.0906865106
   Sillmann J, 2013, J GEOPHYS RES-ATMOS, V118, P1716, DOI 10.1002/jgrd.50203
   Sniatala B, 2023, SCI TOTAL ENVIRON, V856, DOI 10.1016/j.scitotenv.2022.159283
   Strauss BH, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac2e6b
   Ulfat W, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15031958
   Wardhani E, 2018, E3S WEB CONF, V73, DOI 10.1051/e3sconf/20187306009
   Wardhani F. A., 2022, IOP Conference Series: Earth and Environmental Science, DOI 10.1088/1755-1315/1109/1/012002
   Widyarani, 2022, ENVIRON SCI POLLUT R, V29, P32397, DOI 10.1007/s11356-022-19057-6
   Wijesiri B, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su122410463
   Wilopo Wahyu, 2021, Journal of Degraded and Mining Lands Management, V8, P2709, DOI 10.15243/jdmlm.2021.083.2709
   World Health Organization (WHO), 2009, GUIDELINES DRINKING
   Zhu MT, 2023, J ENVIRON MANAGE, V345, DOI 10.1016/j.jenvman.2023.118772
   Zikra Muhammad, 2015, Procedia Earth and Planetary Science, V14, P57, DOI 10.1016/j.proeps.2015.07.085
   Ziska LH., 2004, World Resource Review, V16, P427
NR 62
TC 3
Z9 3
U1 6
U2 6
PU AMER CHEMICAL SOC
PI WASHINGTON
PA 1155 16TH ST, NW, WASHINGTON, DC 20036 USA
EI 2690-0637
J9 ACS EST WATER
JI ACS ES&T Wat.
PD JUL 15
PY 2024
VL 4
IS 8
BP 3213
EP 3224
DI 10.1021/acsestwater.4c00099
EA JUL 2024
PG 12
WC Environmental Sciences; Water Resources
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology; Water Resources
GA C3Q3U
UT WOS:001280012500001
DA 2025-01-10
ER

PT J
AU Verde, S
   Dell'Acqua, F
   Losasso, M
AF Verde, Sara
   Dell'Acqua, Federica
   Losasso, Mario
TI Environmental Data, Modeling and Digital Simulation for the Evaluation
   of Climate Adaptation and Mitigation Strategies in the Urban Environment
SO SUSTAINABILITY
LA English
DT Article
DE climate-resilient design; key enabling technologies; environmental
   performances; climate adaptation; climate mitigation strategies
ID MEAN RADIANT TEMPERATURE
AB The worsening effects of climate change in urban settings imply the application of effective measures for climate adaptation and mitigation actions on the building-open space system. It means the development of innovative climate-resilient design approaches through the elaboration of knowledge processes and methodological workflows supported by key enabling technologies (KETs). This paper presents the middle results of the research project PRIN (Progetti di Rilevante Interesse Nazionale) 2017 "TECH-START-key enabling TECHnologies and Smart environmenT in the Age of gReen economy. Convergent innovations in the open space/building system for climaTe mitigation". The goal of this paper is to show a methodological workflow and an operational protocol for digital modeling and simulation for the evaluation of climate adaptation and mitigation strategies in urban settings, applied to the case of the former Centro Polifunzionale Marianella in the northern area of Naples. The results of the experimental application demonstrate the effectiveness of the meta-design proposals, with particular reference to the reduction of vulnerability to the heat wave phenomenon. The experimentation expresses the consistency of the methodological workflow. The results obtained demonstrate that the methodological approach based on KETs is effective in the evaluation of climate-resilient design actions through the definition of a set of indicators whose values return performance and characteristics of the design solutions.
C1 [Verde, Sara; Dell'Acqua, Federica; Losasso, Mario] Univ Naples Federico II, DiARC Dept Architecture, I-80134 Naples, Italy.
C3 University of Naples Federico II
RP Dell'Acqua, F (corresponding author), Univ Naples Federico II, DiARC Dept Architecture, I-80134 Naples, Italy.
EM sara.verde@unina.it; federica.dellacqua@unina.it; losasso@unina.it
OI VERDE, SARA/0000-0002-2339-5936
FU PRIN (Progetti di Ricerca di Rilevante Interesse Nazionale)Bando 2017
   "TECH-START-key enabling TECHnologies and Smart environmenT in the Age
   of gReen economy. Convergent innovations in the open space/building
   system for climaTe mitigation"
FX This research was funded by PRIN (Progetti di Ricerca di Rilevante
   Interesse Nazionale)Bando 2017 "TECH-START-key enabling TECHnologies and
   Smart environmenT in the Age of gReen economy. Convergent innovations in
   the open space/building system for climaTe mitigation".
CR [Anonymous], 2005, Ergonomics of the thermal environment _ Analytical determination and interpretation of thermal comfort using calculation of the PMV and PPD indices and local thermal comfort criteria
   Bassolino E, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13105694
   Climate Adaptation App, about us
   Crespi A., 2020, ETC-CCA Tech. Pap, V1, P6, DOI [10.25424/cmcc/climate_related_hazard_indices_europe_2020, DOI 10.25424/CMCC/CLIMATE_RELATED_HAZARD_INDICES_EUROPE_2020]
   DAmbrosio V., 2016, Progettazione Ambientale per LAdattamento al Climate Change. Modelli Innovativi per la Produzione di Conoscenza/Environmental Design for Climate Change Adaptation 1. Innovative Models for the Production of Knowledge, P48
   DellAcqua F., 2021, GIS DAY 2021Il GIS per il Governo e il Territorio, P23
   Doick K., 2013, Air temperature regulation by urban trees and green infrastructure (12)
   EC-European Commission, 2020, Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions 2020 COM, P662
   EC-European Commission A European Strategy for Key Enabling Technologies-A Bridge to Growth and Jobs, 2012, Communication from the Commission to the European Parliament; the Council, the European Economic and Social Committee and the Committee of the Regions COM, P341
   EC-European Commission The European Green Deal, 2019, Communication from the Commission 2019 COM
   ECEuropean Commission, 2021, COM/2021/82 Final
   eea, Urban Adaptation Support Tool-UAST
   EnergyPlus, About us
   ENVI-Met, About us
   Fanchiotti A., 2012, Report RdS/2011/145
   Fanger P. O., 1970, Thermal comfort. Analysis and applications in environmental engineering.
   [Field C.B. IPCC. IPCC.], 2012, MANAGING RISKS EXTRE, P555
   github, GitHub df_envimet
   Global Cool Cities Alliance, 2012, A Practical Guide to Cool Roofs and Cool Pavements
   IEAInternational Energy Agency, 2023, CO 2 Emissions in 2022
   Italiadomani, 2021, Piano Nazionale di Ripresa e Resilienza
   Krüger E, 2014, INT J BIOMETEOROL, V58, P1727, DOI 10.1007/s00484-013-0777-1
   Leone M.F., 2018, Progetto Resiliente e Adattamento Climatico. Metodologie, Soluzioni Progettuali e Tecnologie Digitali
   Li H, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/015023
   Lindberg F, 2016, INT J BIOMETEOROL, V60, P1439, DOI 10.1007/s00484-016-1135-x
   MASE-Ministero dell'Ambiente e della Sicurezza Energetica, 2022, PNACC-Piano Nazionale di Adattamento ai Cambiamenti Climatici
   Masson-Delmotte V., 2021, Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3, DOI [10.1017/9781009157896, DOI 10.1017/9781009157896]
   Pathak M., 2022, Climate Change 2022: Mitigation of Climate Change. Contribution of Working Group III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, DOI [DOI 10.1017/9781009157926, 10.1017/9781009157926, 10.1017/9781009157926.002, DOI 10.1017/9781009157926.002]
   Raven J, 2011, LOCAL SUSTAIN, V1, P451, DOI 10.1007/978-94-007-0785-6_45
   Sliuzas R., 2020, Science for Disaster Risk Management 2020: Acting Today, Protecting Tomorrow, P66
   Tersigni E., 2021, New Metropolitan Perspectives: Knowledge Dynamics and Innovation-Driven Policies Towards Urban and Regional Transition, VVolume 2, P1980
   Tersigni E., 2021, Gis Day 2020. Il GIS per il Governo e la Gestione del Territorio, P73
   The European Climate Adaptation Platform Climate-ADAPT, about us
   Thorsson S, 2014, URBAN CLIM, V10, P332, DOI 10.1016/j.uclim.2014.01.004
   UN Environment Programme, 2022, Emission Gap Report 2022
   UNDRR-United Nations Office for Disaster Risk Reduction-Regional Office for Asia and Pacific, 2021, Scoping Study on Compound, Cascading and Systemic Risks in the Asia Pacific
   UNISDR (United Nations International Strategy for Disaster Reduction), 2015, Sendai Framework for Disaster Risk Reduction 2015-2030
   urbangreenbluegrids, Urban Green-Blue Grids for Resilient Cities
   Verde S., 2023, P EGU GEN ASSEMBLY 2
   Verde S., 2020, Urban. Inf, V289, P11
   Verde S., 2023, Conoscenza e Sperimentazione Progettuale per larea Nord di Napoli. La Rigenerazione delle Periferie nella Dimensione Metropolitana tra Nuove Centralita, Conservazione dellEsistente e Sfide Climatiche, P22
NR 41
TC 2
Z9 2
U1 0
U2 2
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAR
PY 2024
VL 16
IS 5
AR 2179
DI 10.3390/su16052179
PG 23
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA KW1X6
UT WOS:001182919100001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Schubert, J
AF Schubert, Jon
TI Maintaining a city against nature: climate adaptation in Beira
SO BUILDINGS & CITIES
LA English
DT Article
DE cities; climate adaptation; development policy; resilience; sustainable
   transformation; urban climate action; urban development; World Bank;
   Global South; Mozambique
ID ANTHROPOLOGY; RESILIENCE
AB The port city of Beira, on Mozambique's Indian Ocean coast, was devastated by Tropical Cyclone Idai in March 2019. Ever since, a host of unequal international and national actors have been wrangling about the best forms to 'build back better', with uneven and socially and spatially unequally distributed results. The institutional set-up and concomitant challenges of making adaptation work are described in a context where the pressures of both growth -based development and climate change mitigation are particularly manifest. In particular, the tensions are explored between political and economic imperatives and the seemingly apolitical, technical best practices advanced by Mozambique's biand multilateral donor partners, as well as the complex infrastructural and economic interdependencies that condition urban planning and development. Through this, the very real constraints of transitioning to climate -resilient cities are demonstrated, along with how most of what turns a climate event into a human disaster sits within highly unequal social, political and economic systems.
C1 [Schubert, Jon] Univ Basel, Div Urban Studies, Spalenvorstadt 2, CH-4051 Basel, Switzerland.
C3 University of Basel
RP Schubert, J (corresponding author), Univ Basel, Div Urban Studies, Spalenvorstadt 2, CH-4051 Basel, Switzerland.
EM jon.schubert@unibas.ch
RI Schubert, Jon/AEM-2022-2022
OI Schubert, Jon/0000-0003-1100-8086
FU Swiss National Scientific Foundation [PCEFP1_203511]; Swiss National
   Science Foundation (SNF) [PCEFP1_203511] Funding Source: Swiss National
   Science Foundation (SNF)
FX Research for this article was funded by the Swiss National Scientific
   Foundation as part of the Eccellenza grant PRECURBICA (PCEFP1_203511).
CR Agence Francaise de Developpement, MOZAMBIQUE: Rehabilitation of Beira's sanitation system
   Amaral I., 1969, Finisterra. Revista portuguesa de geografia, V4, P76, DOI [10.18055/Finis2492, DOI 10.18055/FINIS2492]
   [Anonymous], 2020, Africa's Urbanisation Dynamics 2020: Africapolis, Mapping a New Urban Geography (OECD)
   Arabindoo Pushpa, 2016, City, V20, P800, DOI [DOI 10.1080/13604813.2016.1239410, 10.1080/13604813.2016.1239410]
   Barrios RE, 2017, ANNU REV ANTHROPOL, V46, P151, DOI 10.1146/annurev-anthro-102116-041635
   Barrios RE, 2016, ANN ANTHROPL PRACT, V40, P28, DOI 10.1111/napa.12085
   Barros CP, 2014, CITIES, V36, P74, DOI 10.1016/j.cities.2013.09.006
   Bigger P, 2021, ANN AM ASSOC GEOGR, V111, P36, DOI 10.1080/24694452.2020.1749023
   Bremner L, 2020, ENVIRON PLAN E-NAT, V3, P732, DOI 10.1177/2514848619880130
   Broto VC, 2022, J URBAN TECHNOL, V29, P87, DOI 10.1080/10630732.2021.2001717
   Chichava Sergio., 2010, Election processes, liberation movements and democratic change in Africa
   Cretney R, 2014, GEOGR COMPASS, V8, P627, DOI 10.1111/gec3.12154
   Dawson Ashley., 2019, Extreme Cities. The Peril and Promise of Urban Life in the Age of Climate Change
   Direito B., 2020, Terra e Colonialismo em Mocambique
   Dongo L., 2021, Doctoral dissertation
   Faas AJ, 2015, HUM ORGAN, V74, P287, DOI 10.17730/0018-7259-74.4.287
   Ferguson J., 1994, Ecologist, V24, P176
   Ficek R. E., 2018, Hurricane bomb
   Ficek RE, 2018, TRANSFORM ANTHROPOL, V26, P102, DOI 10.1111/traa.12129
   Forquilha S, 2020, Reformas de descentralizacao em Mocambique: o papel das instituicoes na definicao dos resultados, DOI [10.35188/UNU-WIDER/2020/889-4, DOI 10.35188/UNU-WIDER/2020/889-4]
   Gillis A, 2021, CURR ANTHROPOL, V62, P647, DOI 10.1086/716866
   GREPOC, 2019, Mozambique Cyclone Idai Post-Disaster needs assessment
   Harrison P, 2023, PLAN PERSPECT, V38, P25, DOI 10.1080/02665433.2022.2053880
   Henriques B, 2023, Beira: International tender launched for 2nd phase of cyclone-ravaged coastal protection works
   Hewitt K., 1983, INTERPRETATIONS CALA
   Kirshner J, 2023, PLAN PERSPECT, V38, P1163, DOI 10.1080/02665433.2023.2173636
   Kolb C, 2006, TECHNOL CULT, V47, P108, DOI 10.1353/tech.2006.0077
   Lakoff A, 2006, Items: Insights from the Social Sciences
   Lazzarini AH, 2023, ENVIRON PLANN D, DOI 10.1177/02637758231208286
   Li TM., 2007, THE WILL TO IMPROVE
   Lubkemann SC, 2005, J PEACE RES, V42, P493, DOI 10.1177/0022343305054093
   McFarlane C, 2008, INT J URBAN REGIONAL, V32, P363, DOI 10.1111/j.1468-2427.2008.00792.x
   Mikulewicz M, 2019, GEOFORUM, V104, P267, DOI 10.1016/j.geoforum.2019.05.010
   Morton D, 2019, Age of concrete: Housing and the shape of aspiration in the capital of Mozambique, DOI [10.2307/j.ctv224twfc, DOI 10.2307/J.CTV224TWFC]
   Mosse David., 2005, CULTIVATING DEV ETHN
   Muradas P, 2021, African handbook of climate change adaptation, P2631, DOI [10.1007/978-3-030-45106-6_132, DOI 10.1007/978-3-030-45106-6_132]
   Noormahomed P, 2022, CURATOR, V65, P623, DOI 10.1111/cura.12506
   OKEEFE P, 1976, NATURE, V260, P566, DOI 10.1038/260566a0
   Pearce J, 2020, AFRICA, V90, P774, DOI 10.1017/S0001972020000315
   Pitcher MA, 2020, AFR AFFAIRS, V119, P468, DOI 10.1093/afraf/adaa012
   Roque S, 2020, URBAN FORUM, V31, P331, DOI 10.1007/s12132-020-09400-w
   Schubert J, 2020, ETHNOGRAPHY, V21, P537, DOI 10.1177/1466138118802953
   Schuller Mark., 2012, Killing with Kindness: Haiti, International Aid, and NGOs
   SDUB, SDUBeira-Sociedade de Desenvolvimento Urbano S.A
   Shannon M., 2019, Built Environment, V44, P397
   Smith Neil., 2006, UNDERSTANDING KATRIN
   Sumich J, 2018, INT AFR LIB, P1, DOI 10.1017/9781108659659
   Sumich J, 2020, ANTIPODE, V52, P1216, DOI 10.1111/anti.12622
   United Nations Department of Economic and Social Affairs & Population Division, 2019, ST/ESA/SER.A/420
   van Weelden P, 2013, Beira masterplan
   Wiegink N, 2020, Former guerrillas in Mozambique, DOI [10.9783/9780812296907, DOI 10.9783/9780812296907]
NR 51
TC 1
Z9 1
U1 3
U2 3
PU UBIQUITY PRESS LTD
PI LONDON
PA Unit 3N, 6 Osborn Street, LONDON, E1 6TD, ENGLAND
SN 2632-6655
J9 BUILD CITIES
JI Build. Cities
PY 2024
VL 5
IS 1
BP 35
EP 49
DI 10.5334/bc.378
PG 15
WC Construction & Building Technology
WE Emerging Sources Citation Index (ESCI)
SC Construction & Building Technology
GA OO0F9
UT WOS:001208091000001
OA gold
DA 2025-01-10
ER

PT J
AU Elliott, JR
   Wang, ZY
AF Elliott, James R.
   Wang, Zheye
TI Managed retreat: a nationwide study of the local, racially segmented
   resettlement of homeowners from rising flood risks
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE climate adaptation; managed retreat; social equity; climate policy;
   displacement
ID RECOVERY; MIGRATION; JUSTICE; ECOLOGY; HOUSTON; SEA
AB The government-funded retreat of homeowners from flood-prone housing is a globally ascendant policy of climate adaptation. Yet, we still know relatively little about some fairly basic questions involving its participants: e.g. How much risk do homeowners tolerate before retreating? Where do they move? Does that move reduce their future flood risk? And, to what extent do answers to these questions vary by the type of racial and ethnic communities in which they live? To answer these questions, we combine novel address-to-address residential history data with future flood risk estimates and indices of local context to better understand how retreat is unfolding across the United States. Results indicate that, when voluntarily undertaken, retreat is a highly local process that yields notable reductions in household flood risk. These movements, however, are racially segmented, with homeowners in majority-White communities being more likely to stay in the face of higher risk and less likely to relocate to nearby areas that are not also majority-White.
C1 [Elliott, James R.] Rice Univ, Dept Sociol, Houston, TX 77005 USA.
   [Wang, Zheye] Rice Univ, Kinder Inst Urban Res, Houston, TX USA.
C3 Rice University; Rice University
RP Elliott, JR (corresponding author), Rice Univ, Dept Sociol, Houston, TX 77005 USA.
EM james.r.elliott@rice.edu
FU Kinder Institute for Urban Research; National Science Foundation
   [2116488]
FX We thank the First Street Foundation for generous access to their data
   and the Kinder Institute for Urban Research for their geographic
   expertise and computing resources. We thank the following students for
   their research assistance: Phylicia Brown, Basma Bedawi, Aubrey Calaway,
   Adrian Frias, Cole Holladay, Alex Priest, Lindsey Schirn, and Allison
   Yelvington. We also thank members of the Spatial Processes And City
   Environments (SPACE) working group at Rice University as well as ERL's
   anonymous reviewers for their constructive feedback on earlier drafts.
   Grant support came from the National Science Foundation, Award#2116488.
CR Adger WN, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/6/060201
   [Anonymous], 2020, First Street Foundation Flood Model (FSF-FM) Technical Documentation, DOI [10.5281/zenodo.4740762, DOI 10.5281/ZENODO.4740762]
   Benincasa R., 2019, WHITER COMMUNITIES R
   Binder SB, 2019, ENVIRON HAZARDS-UK, V18, P127, DOI 10.1080/17477891.2018.1511404
   Bittle J., 2023, The great displacement: Climate change and the next American migration, VFirst
   Boas I, 2019, NAT CLIM CHANGE, V9, P901, DOI 10.1038/s41558-019-0633-3
   Braamskamp A., 2018, ENV MANAGE SUSTAIN D, V7, P108, DOI [10.5296/emsd.v7i2.12851, DOI 10.5296/EMSD.V7I2.12851]
   Bullard R.D., 1994, Unequal Protection: Environmental Justice and Communities of Color
   Chamlee-Wright E, 2009, J URBAN AFF, V31, P615, DOI 10.1111/j.1467-9906.2009.00479.x
   Curtis KJ, 2015, DEMOGRAPHY, V52, P1269, DOI 10.1007/s13524-015-0400-7
   de Koning K, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab6668
   de Sherbinin A, 2011, SCIENCE, V334, P456, DOI 10.1126/science.1208821
   Diamond R, 2019, AM ECON REV, V109, P3365, DOI 10.1257/aer.20181289
   Elliott JR, 2023, SOC PROBL, V70, P869, DOI 10.1093/socpro/spab059
   Elliott JR, 2020, SOCIUS, V6, DOI 10.1177/2378023120905439
   Federal Emergency Management Agency (FEMA), 2019, HAZ MIT ASS GRANTS
   First Street Foundation, 2020, 1 NAT RISK ASS DEF A
   First Street Foundation, IS MY FLOOD FACT CAL
   Foote K. E., 2009, International Encyclopedia of Human Geography, V10, P96, DOI [10.1016/b978-008044910-4.00998-6, DOI 10.1016/B978-008044910-4.00998-6, 10.1016/B978-008044910-4.00998-6]
   Hauer ME, 2020, NAT REV EARTH ENV, V1, P28, DOI 10.1038/s43017-019-0002-9
   Hino M, 2017, NAT CLIM CHANGE, V7, P364, DOI [10.1038/NCLIMATE3252, 10.1038/nclimate3252]
   Howell J, 2019, SOC PROBL, V66, P448, DOI 10.1093/socpro/spy016
   Keenan JM, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabb32
   Kimbro Rachel., 2021, In Too Deep: Class and Mothering in a Flooded Community
   Klinenberg E, 2020, ANNU REV SOCIOL, V46, P649, DOI 10.1146/annurev-soc-121919-054750
   Koslov L, 2016, PUBLIC CULTURE, V28, P359, DOI 10.1215/08992363-3427487
   Krysan M., 2017, Cycle of Segregation: Social Processes and Residential Stratification, DOI 10.7758/9781610448697
   LEE ES, 1966, DEMOGRAPHY, V3, P47, DOI 10.2307/2060063
   Logan JR, 2016, ANN AM ASSOC GEOGR, V106, P1013, DOI 10.1080/24694452.2016.1187060
   Loughran K, 2019, SOC CURR, V6, P121, DOI 10.1177/2329496518797851
   Lynn KA, 2017, J POLIT ECOL, V24, P951, DOI 10.2458/v24i1.20977
   Mach KJ, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aax8995
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Maxim A, 2021, ENVIRON RES-INFRASTR, V1, DOI 10.1088/2634-4505/ac33ef
   Menendian S., 2021, The Roots of Structural Racism Project Twenty-First Century Racial Residential Segregation in the United States
   National Oceanic and Atmospheric Administration (NOAA), DEF COAST COUNT
   Natl Acad Sci Engn Med, 2019, FRAMING THE CHALLENGE OF URBAN FLOODING IN THE UNITED STATES, P1, DOI 10.17226/25381
   Phillips DC, 2020, DEMOGRAPHY, V57, P1323, DOI 10.1007/s13524-020-00893-5
   RAVENSTEIN E. G., 1885, J STAT SOC LOND, V48, P167, DOI [10.1017/CB09781107415324, DOI 10.1017/CB09781107415324, DOI 10.2307/2979181]
   Rhodes A., 2022, Soaking the Middle Class: Suburban Inequality and Recovery from Disaster
   Rossi M, 2019, NAT CLIM CHANGE, V9, P904, DOI 10.1038/s41558-019-0655-x
   Siders AR, 2022, ENVIRON SCI POLICY, V137, P280, DOI 10.1016/j.envsci.2022.08.022
   Siders AR, 2019, CLIMATIC CHANGE, V152, P239, DOI 10.1007/s10584-018-2272-5
   Tate E, 2016, NAT HAZARDS, V80, P2055, DOI 10.1007/s11069-015-2060-8
   Tellman B, 2022, NATURE, V608, P41, DOI 10.1038/d41586-022-02031-0
   Thaler T, 2020, GLOBAL ENVIRON CHANG, V63, DOI 10.1016/j.gloenvcha.2020.102122
   Tubridy F, 2022, LAND USE POLICY, V114, DOI 10.1016/j.landusepol.2021.105960
   United States Environmental Protection Agency (EPA), 2021, CLIMATE CHANGE SOCIA
   US Department of Agriculture, 2013, USDA ERS RUR URB CON
   Wilmsen B, 2019, ASIA PAC VIEWP, V60, P118, DOI 10.1111/apv.12232
NR 50
TC 8
Z9 10
U1 1
U2 10
PU IOP Publishing Ltd
PI BRISTOL
PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
SN 1748-9326
J9 ENVIRON RES LETT
JI Environ. Res. Lett.
PD JUN 1
PY 2023
VL 18
IS 6
AR 064050
DI 10.1088/1748-9326/acd654
PG 12
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA J3AV8
UT WOS:001008379400001
OA gold
DA 2025-01-10
ER

PT J
AU de Koning, K
   Filatova, T
AF de Koning, Koen
   Filatova, Tatiana
TI Repetitive floods intensify outmigration and climate gentrification in
   coastal cities
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE agent-based model; flood risk; climate gentrification; housing market;
   climate change; regime shift
ID RISK PERCEPTION; EXPERIENCE; MIGRATION; PEOPLE; PRICES; MODELS
AB Recent floods in America, Europe, Asia and Africa reminded societies across the world of the need to revisit their climate adaptation strategies. Rapid urbanization coinciding with a growing frequency and intensity of floods requires transformative actions in cities worldwide. While abandoning flood prone areas is sometimes discussed as a public climate adaptation option, little attention is paid to studying cumulative impacts of outmigration as an individual choice. To explore the aggregated consequences of households' outmigration decisions in response to increasing flood hazards, we employ a computational agent-based model grounded in empirical heuristics of buyers' and sellers' behaviour in a flood-prone housing market. Our results suggest that pure market-driven processes can cause shifts in demographics in climate-sensitive hotspots placing low-income households further at risk. They get trapped in hazard zones, even when individual risk perceptions and behavioural location preferences are independent of income, suggesting increasing climate gentrification as an outcome of market sorting.
C1 [de Koning, Koen; Filatova, Tatiana] Univ Twente, Dept Governance & Technol Sustainabil CSTM, POB 217, NL-7500 AE Enschede, Netherlands.
C3 University of Twente
RP de Koning, K (corresponding author), Univ Twente, Dept Governance & Technol Sustainabil CSTM, POB 217, NL-7500 AE Enschede, Netherlands.
EM k.dekoning@utwente.nl; t.filatova@utwente.nl
RI Filatova, Tatiana/K-8233-2016
OI Filatova, Tatiana/0000-0002-3546-6930
FU European Research Council (ERC) under the European Union's Horizon 2020
   research and innovation programme [758014]; European Research Council
   (ERC) [758014] Funding Source: European Research Council (ERC)
FX This work was partially funded by the European Research Council (ERC)
   under the European Union's Horizon 2020 research and innovation
   programme (grant agreement No 758014 SCALAR). We want to thank Prof
   Ariana Need for her helpful comments, and Brayton Noll for proof reading
   the manuscript. The authors would like to thankDr Paul Bin for his
   support in the model validation process. Without his valuable data
   souces and his help during the survey this research would not have been
   possible. The authors also thank theBMS faculty for their support in the
   survey.
CR Adger WN, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/6/060201
   Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   [Anonymous], 2014, COMPLEXITY EC
   [Anonymous], CLIMATE CHANGE 2014
   [Anonymous], INCOME POVERTY US 20
   [Anonymous], 2016, SOCIOECONOMIC RESILI, DOI DOI 10.1596/1813-9450-7886
   Beltrán A, 2018, ECOL ECON, V146, P668, DOI 10.1016/j.ecolecon.2017.12.015
   Bin O, 2008, J RISK INSUR, V75, P63, DOI 10.1111/j.1539-6975.2007.00248.x
   Bin O, 2013, J ENVIRON ECON MANAG, V65, P361, DOI 10.1016/j.jeem.2012.12.002
   Black R., 2014, Limits Mob. Times Crisis, P287, DOI 10.4324/9780203797860-14
   Black R, 2013, ENVIRON SCI POLICY, V27, pS32, DOI 10.1016/j.envsci.2012.09.001
   Bonabeau E, 2002, P NATL ACAD SCI USA, V99, P7280, DOI 10.1073/pnas.082080899
   Buchanan MK, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa6cb3
   Dawson RJ, 2011, GLOBAL ENVIRON CHANG, V21, P628, DOI 10.1016/j.gloenvcha.2011.01.013
   de Koning K, 2019, GLOBAL ENVIRON CHANG, V59, DOI 10.1016/j.gloenvcha.2019.101981
   de Koning K, 2018, ENVIRON RESOUR ECON, V69, P247, DOI 10.1007/s10640-016-0076-5
   de Koning K, 2017, ECOL ECON, V136, P1, DOI 10.1016/j.ecolecon.2017.01.022
   de Sherbinin A, 2011, SCIENCE, V334, P456, DOI 10.1126/science.1208821
   Farmer JD, 2009, NATURE, V460, P685, DOI 10.1038/460685a
   Filatova T., 2011, AGRIC RESOUR ECON RE, V40, P405, DOI [10.1017/S1068280500002860, DOI 10.1017/S1068280500002860]
   Filatova T, 2015, COMPUT ENVIRON URBAN, V54, P397, DOI 10.1016/j.compenvurbsys.2014.06.007
   Filatova T, 2016, ENVIRON MODELL SOFTW, V75, P333, DOI 10.1016/j.envsoft.2015.04.003
   Grothmann T, 2006, NAT HAZARDS, V38, P101, DOI 10.1007/s11069-005-8604-6
   Haer T, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab0770
   Hudson P, 2020, J RISK RES, V23, P642, DOI 10.1080/13669877.2019.1617339
   Ingraham C., 2017, WASH POST
   Jongman B, 2012, GLOBAL ENVIRON CHANG, V22, P823, DOI 10.1016/j.gloenvcha.2012.07.004
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Keenan JM, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabb32
   Kellens W, 2013, RISK ANAL, V33, P24, DOI 10.1111/j.1539-6924.2012.01844.x
   Knuth D, 2014, RISK ANAL, V34, P1286, DOI 10.1111/risa.12157
   Koerth J, 2013, REG ENVIRON CHANGE, V13, P897, DOI 10.1007/s10113-012-0399-x
   Lamperti F, 2019, NAT CLIM CHANGE, V9, P829, DOI 10.1038/s41558-019-0607-5
   Lazarus ED, 2018, NAT SUSTAIN, V1, P759, DOI 10.1038/s41893-018-0185-y
   Magliocca NR, 2018, COMPUT ENVIRON URBAN, V71, P1, DOI 10.1016/j.compenvurbsys.2018.03.009
   McCaughey JW, 2018, NAT SUSTAIN, V1, P38, DOI 10.1038/s41893-017-0002-z
   McNamara DE, 2013, NAT CLIM CHANGE, V3, P559, DOI 10.1038/NCLIMATE1826
   NAT'L OCEANIC & ATMOSPHERIC ADMIN, 2018, COSTL US TROP CYCL T
   Nawrotzki RJ, 2018, REG ENVIRON CHANGE, V18, P533, DOI 10.1007/s10113-017-1224-3
   Nicholls RJ, 2004, GLOBAL ENVIRON CHANG, V14, P69, DOI 10.1016/j.gloenvcha.2003.10.007
   Piguet E, 2018, NAT SUSTAIN, V1, P13, DOI 10.1038/s41893-017-0011-y
   Pryce G, 2011, HOUSING STUD, V26, P259, DOI 10.1080/02673037.2011.542086
   Schlüter M, 2017, ECOL ECON, V131, P21, DOI 10.1016/j.ecolecon.2016.08.008
   Stern N, 2016, NATURE, V530, P407, DOI 10.1038/530407a
   Terpstra T, 2011, RISK ANAL, V31, P1658, DOI 10.1111/j.1539-6924.2011.01616.x
   Tesfatsion L, 2006, HANDB ECON, V13, P831
   Walker G, 2011, CRIT SOC POLICY, V31, P216, DOI 10.1177/0261018310396149
   Whitmarsh L, 2008, J RISK RES, V11, P351, DOI 10.1080/13669870701552235
   Windrum P, 2007, JASSS-J ARTIF SOC S, V10
   Wing OEJ, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaac65
   Zaninetti JM, 2012, URBAN GEOGR, V33, P675, DOI 10.2747/0272-3638.33.5.675
NR 51
TC 47
Z9 54
U1 8
U2 66
PU IOP Publishing Ltd
PI BRISTOL
PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
SN 1748-9326
J9 ENVIRON RES LETT
JI Environ. Res. Lett.
PD MAR
PY 2020
VL 15
IS 3
AR 034008
DI 10.1088/1748-9326/ab6668
PG 10
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA LT9SX
UT WOS:000537406500002
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Benestad, RE
   Nychka, D
   Mearns, LO
AF Benestad, R. E.
   Nychka, D.
   Mearns, L. O.
TI Spatially and temporally consistent prediction of heavy precipitation
   from mean values
SO NATURE CLIMATE CHANGE
LA English
DT Article
ID EXTREMES; RAINFALL
AB Extreme precipitation can cause flooding, result in substantial damages and have detrimental effects on ecosystems(1,2). Climate adaptation must therefore account for the greatest precipitation amounts that may be expected over a certain time span(3). The recurrence of extreme-to-heavy precipitation is notoriously hard to predict, yet cost-benefit estimates of mitigation and successful climate adaptation will need reliable information about percentiles for daily precipitation. Here we present a new and simple formula that relates wet-day mean precipitation to heavy precipitation, providing a method for predicting and downscaling daily precipitation statistics. We examined 32,857 daily rain-gauge records from around the world and the evaluation of the method demonstrated that wet-day precipitation percentiles can be predicted with high accuracy. Evaluations against independent data demonstrated high skill in both space and time, indicating a highly robust methodology.
C1 [Benestad, R. E.] Norwegian Meteorol Inst, N-0313 Oslo, Norway.
   [Nychka, D.; Mearns, L. O.] Natl Ctr Atmospher Res, Boulder, CO 80305 USA.
C3 Norwegian Meteorological Institute; National Center Atmospheric Research
   (NCAR) - USA
RP Benestad, RE (corresponding author), Norwegian Meteorol Inst, N-0313 Oslo, Norway.
EM rasmus.benestad@met.no
RI Mearns, Linda/KEJ-1682-2024; Benestad, Rasmus/I-3156-2019
OI Nychka, Douglas/0000-0003-1387-3356; Benestad, Rasmus
   E./0000-0002-5969-4508
FU Norwegian Research Council [203866]; Norwegian Meteorological Institute;
   National Center for Atmospheric Research
FX The authors acknowledge a Norwegian Research Council grant (grant number
   203866), the Norwegian Meteorological Institute and the National Center
   for Atmospheric Research.
CR [Anonymous], 2001, INTRO STAT MODELING
   Benestad RE, 2012, TELLUS A, V64, DOI 10.3402/tellusa.v64i0.14981
   Benestad RE, 2007, CLIM RES, V34, P195, DOI 10.3354/cr00693
   Benestad RE, 2006, J CLIMATE, V19, P630, DOI 10.1175/JCLI3656.1
   Blyth AM, 1997, J ATMOS SCI, V54, P569, DOI 10.1175/1520-0469(1997)054<0569:OOSRIN>2.0.CO;2
   Elken J., 2008, BALTEX ASSESSMENT CL, P379
   Frei C, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD005965
   Frich P, 2002, CLIMATE RES, V19, P193, DOI 10.3354/cr019193
   Meehl G. A., 2007, IPCC Climate Change 2007: The Physical Science Basis
   Min SK, 2011, NATURE, V470, P378, DOI 10.1038/nature09763
   O'Dowd CD, 1999, Q J ROY METEOR SOC, V125, P1295, DOI 10.1256/smsqj.55609
   Orskaug E, 2011, TELLUS A, V63, P746, DOI 10.1111/j.1600-0870.2011.00525.x
   Pall P, 2011, NATURE, V470, P382, DOI 10.1038/nature09762
   Parry M.L., 2007, IPCC Climate Change 2007: Impacts, Adaptation and Vulnerability
   Peterson T, 1997, B AM METEOROL SOC, V78, P2145, DOI 10.1175/1520-0477(1997)078<2145:ISOAGS>2.0.CO;2
   Tank AMGK, 2002, INT J CLIMATOL, V22, P1441, DOI 10.1002/joc.773
   Wang JF, 2008, J CLIMATE, V21, P923, DOI 10.1175/2007JCLI1671.1
NR 17
TC 35
Z9 44
U1 4
U2 52
PU NATURE PUBLISHING GROUP
PI LONDON
PA MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND
SN 1758-678X
EI 1758-6798
J9 NAT CLIM CHANGE
JI Nat. Clim. Chang.
PD JUL
PY 2012
VL 2
IS 7
BP 544
EP 547
DI 10.1038/NCLIMATE1497
PG 4
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 972AS
UT WOS:000306249500021
DA 2025-01-10
ER

PT J
AU Wang, D
   Liang, YJ
   Liu, LJ
   Huang, JJ
   Yin, ZC
AF Wang, Dan
   Liang, Youjia
   Liu, Lijun
   Huang, Jiejun
   Yin, Zhangcai
TI Crop production on the Chinese Loess Plateau under 1.5 and 2.0? global
   warming scenarios
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Climate change; WOFOST; Data assimilation; Food security
ID PAST 3 DECADES; MAIZE YIELD; FOOD SECURITY; WINTER-WHEAT; VEGETATION
   INDEXES; DATA ASSIMILATION; SIMULATION-MODEL; PHENOLOGY; GAP; IMPACTS
AB Global warming is a crucial factor affecting crop production in ecologically vulnerable areas. Warming-induced changes in the yields of different crops could pose significant challenges to food security and sustainability assessment. In this study, the World Food Studies model and a remote sensing product assimilation algorithm were used to develop a spatially explicit crop assimilation model applicable to the Loess Plateau of China. The model was used to simulate potential changes in actual yields and yield gaps for winter wheat and maize under three typical climate scenarios (Representative Concentration Pathways (RCPs): RCP 2.6, RCP 4.5, and RCP 8.5) from 2016 to 2060. Average yields increased in both winter wheat (2.38 %-4.96 %) and maize (5.41 %-6.85 %), with maize (RCP 4.5 > RCP 8.5 > RCP 2.6) more adapted to climate warming than winter wheat (RCP 2.6 > RCP 8.5 > RCP 4.5) in terms of yield increase rate. The yield increase and yield gap for winter wheat decreased most significantly in RCP2.6 (-2.28 %). Maize yield did not exceed 80 % of the potential yield in any scenario. The average phenological periods for winter wheat and maize are predicted be 2-4 and 9-16 days earlier, respectively. Crop yields were negatively correlated with radiation and yield gaps were positively correlated with precipitation. Future climate change will likely cause dramatic interannual crop yield fluctuations. Winter wheat is predicted to experience yield stagnation after 2050, whereas maize production potential will increase briefly before experiencing a long-term decline in growth. The results of this multi-scenario simulation assessment of crop production provide scientific support for implementing climate-adapted crop management strategies and integrated dry-crop-irrigated agriculture to meet food security objectives in this ecologically fragile area. We recommend integrated management measures to ensure regional food security through crop variety improvement, irrigation regulation, and planting structure optimization.
C1 [Wang, Dan; Liang, Youjia; Huang, Jiejun; Yin, Zhangcai] Wuhan Univ Technol, Sch Resources & Environm Engn, Wuhan 430070, Peoples R China.
   [Liu, Lijun] Yangtze Univ, Coll Resources & Environm, Wuhan 430100, Peoples R China.
C3 Wuhan University of Technology; Yangtze University
RP Liang, YJ (corresponding author), Wuhan Univ Technol, Sch Resources & Environm Engn, Wuhan 430070, Peoples R China.
EM yjliang@whut.edu.cn
FU Science Foundation of Hubei Province [2021CFB295]; China Postdoctoral
   Science Foundation [2023M730363]; CMA Key Open Laboratory of
   Transforming Climate Resources to Economy [2023016]; National Natural
   Science Foundation of China [42171415]
FX This work was supported by the Science Foundation of Hubei Province
   [grant number 2021CFB295] , the China Postdoctoral Science Foundation
   [grant number 2023M730363] , the CMA Key Open Laboratory of Transforming
   Climate Resources to Economy [grant number 2023016] , and the National
   Natural Science Foundation of China [grant number 42171415] . We also
   gratefully acknowledge the data assistance provided by Prof. He Liang of
   the National Meteorological Center in China.
CR [Anonymous], 2002, STATE FOOD INSECURIT
   Archontoulis SV, 2014, ENVIRON MODELL SOFTW, V62, P465, DOI 10.1016/j.envsoft.2014.04.009
   Asseng S, 2013, NAT CLIM CHANGE, V3, P827, DOI [10.1038/nclimate1916, 10.1038/NCLIMATE1916]
   Bakhshandeh E, 2022, GEODERMA REG, V30, DOI 10.1016/j.geodrs.2022.e00559
   Bolton DK, 2013, AGR FOREST METEOROL, V173, P74, DOI 10.1016/j.agrformet.2013.01.007
   Brisson N, 2010, FIELD CROP RES, V119, P201, DOI 10.1016/j.fcr.2010.07.012
   Cassman KG, 1999, P NATL ACAD SCI USA, V96, P5952, DOI 10.1073/pnas.96.11.5952
   Chen L, 2021, SCI TOTAL ENVIRON, V790, DOI 10.1016/j.scitotenv.2021.148110
   Chen Y, 2017, FIELD CROP RES, V206, P11, DOI 10.1016/j.fcr.2017.02.012
   Chen YF, 2017, SCI TOTAL ENVIRON, V581, P507, DOI 10.1016/j.scitotenv.2016.12.158
   de Wit AM, 2007, AGR FOREST METEOROL, V146, P38, DOI 10.1016/j.agrformet.2007.05.004
   Du Y, 2022, ECOL INDIC, V141, DOI 10.1016/j.ecolind.2022.109076
   Environmental Systems Research Institute Inc, 2017, ARCGIS 10 5 DESKT
   Fan XW, 2021, WEATHER CLIM EXTREME, V32, DOI 10.1016/j.wace.2021.100328
   Fang YanJie Fang YanJie, 2015, Journal of Agricultural Science and Technology (Beijing), V17, P165
   Fujimori S, 2019, NAT SUSTAIN, V2, P386, DOI 10.1038/s41893-019-0286-2
   Fuss S, 2015, TECHNOL FORECAST SOC, V98, P223, DOI 10.1016/j.techfore.2015.03.019
   Gao YK, 2022, AGR WATER MANAGE, V270, DOI 10.1016/j.agwat.2022.107714
   Ge HX, 2022, FIELD CROP RES, V288, DOI 10.1016/j.fcr.2022.108705
   Guilpart N, 2022, NAT FOOD, V3, P255, DOI 10.1038/s43016-022-00481-3
   Guo CL, 2019, AGR FOREST METEOROL, V272, P69, DOI 10.1016/j.agrformet.2019.01.023
   Guo Y, 2013, ADV CLIM CHANG RES, V4, P145, DOI 10.3724/SP.J.1248.2013.145
   Han TT, 2023, J CLEAN PROD, V384, DOI 10.1016/j.jclepro.2022.135456
   He L, 2015, AGR FOREST METEOROL, V200, P135, DOI 10.1016/j.agrformet.2014.09.011
   Helman D, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-11423-1
   Huang H, 2022, SCI DATA, V9, DOI 10.1038/s41597-022-01305-6
   Huang JX, 2019, AGR FOREST METEOROL, V276, DOI 10.1016/j.agrformet.2019.06.008
   Huang MX, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab66ca
   Ines AVM, 2013, REMOTE SENS ENVIRON, V138, P149, DOI 10.1016/j.rse.2013.07.018
   Jin N, 2022, AGR WATER MANAGE, V266, DOI 10.1016/j.agwat.2022.107583
   Jin XL, 2018, EUR J AGRON, V92, P141, DOI 10.1016/j.eja.2017.11.002
   Kang YH, 2009, PROG NAT SCI-MATER, V19, P1665, DOI 10.1016/j.pnsc.2009.08.001
   Kenett DY, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0015032
   Lesk C, 2016, NATURE, V529, P84, DOI 10.1038/nature16467
   Li KN, 2014, EUR J AGRON, V59, P1, DOI 10.1016/j.eja.2014.04.007
   Li TT, 2017, LAND USE POLICY, V60, P26, DOI 10.1016/j.landusepol.2016.10.013
   Liang YJ, 2021, ECOL INDIC, V120, DOI 10.1016/j.ecolind.2020.106939
   Liang ZR, 2023, PNAS NEXUS, V2, DOI 10.1093/pnasnexus/pgad057
   Liu BH, 2017, AGR FOREST METEOROL, V239, P108, DOI 10.1016/j.agrformet.2017.02.035
   Liu YJ, 2022, SCI TOTAL ENVIRON, V811, DOI 10.1016/j.scitotenv.2021.151393
   Lobell DB, 2009, ANNU REV ENV RESOUR, V34, P179, DOI 10.1146/annurev.environ.041008.093740
   Luo Y.C., 2019, CHINACROPPHEN1KM HIG, V12, P197, DOI [10.6084/m9.figshare.8313530.v5figshare, DOI 10.6084/M9.FIGSHARE.8313530.V5FIGSHARE]
   Luo YC, 2020, EARTH SYST SCI DATA, V12, P197, DOI 10.5194/essd-12-197-2020
   McGuire S, 2015, ADV NUTR, V6, P623, DOI 10.3945/an.115.009936
   Mirzabaev A, 2023, CLIM RISK MANAG, V39, DOI 10.1016/j.crm.2022.100473
   PRC, 2017, NAT POP DEV PLAN 201, P24
   Ray DK, 2012, NAT COMMUN, V3, DOI 10.1038/ncomms2296
   Liang-Bing R, 2021, J INTEGR AGR, V20, P349, DOI 10.1016/S2095-3119(20)63555-9
   Rosegrant MW, 2003, SCIENCE, V302, P1917, DOI 10.1126/science.1092958
   Saddique Q, 2020, EUR J AGRON, V119, DOI 10.1016/j.eja.2020.126113
   Saltelli A, 1999, TECHNOMETRICS, V41, P39, DOI 10.2307/1270993
   SAVITZKY A, 1964, ANAL CHEM, V36, P1627, DOI 10.1021/ac60214a047
   SAXTON KE, 1986, SOIL SCI SOC AM J, V50, P1031, DOI 10.2136/sssaj1986.03615995005000040039x
   Shi P, 2020, ECOSYST HEALTH SUST, V6, DOI 10.1080/20964129.2019.1709560
   Tan KY, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-22559-4
   Tao FL, 2015, AGR ECOSYST ENVIRON, V208, P12, DOI 10.1016/j.agee.2015.04.020
   Tong Y.Y, 1992, MAIZE PLANTING REGIO
   United Nations, 2015, No.A/RES/70/1.
   VANDIEPEN CA, 1989, SOIL USE MANAGE, V5, P16, DOI 10.1111/j.1475-2743.1989.tb00755.x
   vanIttersum MK, 1997, FIELD CROP RES, V52, P197, DOI 10.1016/S0378-4290(97)00037-3
   vanRossum G, 2010, Python Reference Manual
   Wang B, 2022, LAND USE POLICY, V122, DOI 10.1016/j.landusepol.2022.106395
   Wang D, 2022, ECOSYST HEALTH SUST, V8, DOI 10.1080/20964129.2022.2130093
   Wang E, 2017, NAT PLANTS, V3, DOI 10.1038/nplants.2017.102
   Wang YY, 2023, ECOL INFORM, V74, DOI 10.1016/j.ecoinf.2022.101968
   Yang K., 2019, China meteorological forcing dataset (1979-2018), DOI DOI 10.11888/ATMOSPHERICPHYSICS.TPE.249369.FILE
   Yu QA, 2023, ENVIRON MODELL SOFTW, V159, DOI 10.1016/j.envsoft.2022.105575
   Yuan WP, 2016, ECOL INDIC, V60, P702, DOI 10.1016/j.ecolind.2015.08.013
   Zhang C, 2022, AGR WATER MANAGE, V263, DOI 10.1016/j.agwat.2022.107458
   Zhang H, 2019, SCI TOTAL ENVIRON, V666, P126, DOI 10.1016/j.scitotenv.2019.01.415
   Zhang S, 2021, J INTEGR AGR, V20, P408, DOI 10.1016/S2095-3119(20)63293-2
   Zhao J, 2018, EUR J AGRON, V99, P106, DOI 10.1016/j.eja.2018.07.003
   Zhu P, 2022, NAT CLIM CHANGE, V12, P1016, DOI 10.1038/s41558-022-01492-5
   Zhuo W, 2022, CROP J, V10, P1470, DOI 10.1016/j.cj.2022.04.004
   Zhuo W, 2022, INT J APPL EARTH OBS, V106, DOI 10.1016/j.jag.2021.102668
NR 75
TC 7
Z9 7
U1 7
U2 39
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD DEC 10
PY 2023
VL 903
AR 166158
DI 10.1016/j.scitotenv.2023.166158
EA AUG 2023
PG 14
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA R6TK9
UT WOS:001065659400001
PM 37574052
DA 2025-01-10
ER

PT J
AU Truong, C
   Malavasi, M
   Li, H
   Trück, S
   Shevchenko, PV
AF Truong, Chi
   Malavasi, Matteo
   Li, Han
   Truck, Stefan
   Shevchenko, Pavel V.
TI Optimal dynamic climate adaptation pathways: a case study of New York
   City
SO ANNALS OF OPERATIONS RESEARCH
LA English
DT Article; Early Access
DE Climate change; Real option analysis; Flood risk; Sea level rise;
   Adaptation
ID FLOOD RISK-MANAGEMENT; REAL OPTIONS ANALYSIS; SEA-LEVEL RISE; DEEP
   UNCERTAINTY; EXTREME EVENTS; INFRASTRUCTURE; DECISION; DAMAGE;
   EQUILIBRIUM; INVESTMENTS
AB Assessing climate risk and its potential impacts on our cities and economies is of fundamental importance. Extreme weather events, such as hurricanes, floods, and storm surges can lead to catastrophic damages. We propose a flexible approach based on real options analysis and extreme value theory, which enables the selection of optimal adaptation pathways for a portfolio of climate adaptation projects. We model the severity of extreme sea level events using the block maxima approach from extreme value theory, and then develop a real options framework, factoring in climate change, sea level rise uncertainty, and the growth in asset exposure. We then apply the proposed framework to a real-world problem, considering sea level data as well as different adaptation investment options for New York City. Our research can assist governments and policy makers in taking informed decisions about optimal adaptation pathways and more specifically about reducing flood and storm surge risk in a dynamic settings.
C1 [Truong, Chi; Truck, Stefan; Shevchenko, Pavel V.] Macquarie Univ, Macquarie Business Sch, Dept Actuarial Studies & Business Analyt, Sydney, NSW, Australia.
   [Malavasi, Matteo] UNSW Sydney, Sch Risk & Actuarial Studies, Sydney, NSW, Australia.
   [Li, Han] Univ Melbourne, Dept Econ, Melbourne, Vic, Australia.
C3 Macquarie University; University of New South Wales Sydney; University
   of Melbourne
RP Truong, C; Trück, S (corresponding author), Macquarie Univ, Macquarie Business Sch, Dept Actuarial Studies & Business Analyt, Sydney, NSW, Australia.
EM chi.truong@mq.edu.au; m.malavasi@unsw.edu.au; han.li@unimelb.edu.au;
   stefan.trueck@mq.edu.au; pavel.shevchenko@mq.edu.au
RI Truong, Chi/I-2712-2016; Malavasi, Matteo/IQU-8698-2023; Shevchenko,
   Pavel/C-1718-2009
OI Shevchenko, Pavel/0000-0001-8104-8716; Li, Han/0000-0001-7758-2350;
   Truong, Chi/0000-0001-6346-5516; Malavasi, Matteo/0000-0002-1670-1608;
   Trueck, Stefan/0000-0002-5302-3850
FU Society of Actuaries; Society of Actuaries (SOA) [FT200100148];
   Australian Government through the Australian Research Council
FX This research was supported by the Society of Actuaries (SOA), under
   project "Flood risk management and adaptation under sea-level rise
   uncertainty", by the Australian Government through the Australian
   Research Council (project number FT200100148), and Data 61 CSIRO
   Australia, under project "Optimal decision making for risk mitigation of
   natural hazards using a real options approach". We would like to
   acknowledge valuable discussions with the SOA project oversight group
   (Rob Montgomery, Josh Rekula, Remi Villeneuve, Matthew Self, Tamara
   Wilt, Cindy Bruyere, Priya Rohatgi, Sam Gutterman, Bronwyn Claire),
   CSIRO research partners Simon Dunstall and Mahesh Prakash, and Babson
   College Professor Michael Goldstein.
CR Abadie LM, 2008, ENERG ECON, V30, P2992, DOI 10.1016/j.eneco.2008.03.008
   Aerts JCJH, 2014, SCIENCE, V344, P472, DOI 10.1126/science.1248222
   Aerts JCJH, 2013, RISK ANAL, V33, P772, DOI 10.1111/risa.12008
   Al Qundus J, 2020, ANN OPER RES, DOI 10.1007/s10479-020-03754-x
   Boomsma TK, 2012, EUR J OPER RES, V220, P225, DOI 10.1016/j.ejor.2012.01.017
   Brandao L, 2005, ANN OPER RES, V135, P21, DOI 10.1007/s10479-005-6233-9
   Brown JM, 2018, OCEAN COAST MANAGE, V163, P101, DOI 10.1016/j.ocecoaman.2018.06.007
   Büchele B, 2006, NAT HAZARD EARTH SYS, V6, P485
   Buurman J, 2016, POLICY SOC, V35, P137, DOI 10.1016/j.polsoc.2016.05.002
   Chan R, 2016, TRANSPORT RES REC, P1, DOI 10.3141/2599-01
   Chesney M, 2017, ANN OPER RES, V255, P465, DOI 10.1007/s10479-016-2258-5
   Codiga D.L., 2011, UNIFIED TIDAL ANAL P, P1, DOI DOI 10.13140/RG.2.1.3761.2008
   Cradock-Henry NA, 2020, ENVIRON SCI POLICY, V107, P66, DOI 10.1016/j.envsci.2020.02.020
   Dittrich R, 2019, J ENVIRON MANAGE, V245, P338, DOI 10.1016/j.jenvman.2019.05.077
   Dobes L., 2010, Working Paper 7
   Downing TE, 2012, WIRES CLIM CHANGE, V3, P161, DOI 10.1002/wcc.157
   ElSherpieny E., 2013, Asian Journal of Applied Sciences, V2, P68
   Embrechts P., 1997, Modelling extremal events, DOI [10.1007/978-3-642-33483-2, DOI 10.1007/978-3-642-33483-2]
   Ernstsen RR, 2018, EUR J OPER RES, V266, P1153, DOI 10.1016/j.ejor.2017.10.052
   Fazey I, 2016, CLIM DEV, V8, P26, DOI 10.1080/17565529.2014.989192
   Fisher RA, 1928, P CAMB PHILOS SOC, V24, P180, DOI 10.1017/S0305004100015681
   Gerl T, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0159791
   Gersonius B, 2012, J WATERW PORT COAST, V138, P386, DOI 10.1061/(ASCE)WW.1943-5460.0000142
   Gersonius B, 2013, CLIMATIC CHANGE, V116, P411, DOI 10.1007/s10584-012-0494-5
   Ginbo T, 2021, AMBIO, V50, P229, DOI 10.1007/s13280-020-01342-8
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   Haasnoot M, 2012, CLIMATIC CHANGE, V115, P795, DOI 10.1007/s10584-012-0444-2
   Hallegatte S, 2011, CLIMATIC CHANGE, V104, P113, DOI 10.1007/s10584-010-9978-3
   Han Y, 2020, CLIMATIC CHANGE, V162, P2257, DOI 10.1007/s10584-020-02802-6
   Hieronymus M, 2020, AMBIO, V49, P1587, DOI 10.1007/s13280-019-01313-8
   Johansson MM, 2014, J MARINE SYST, V129, P35, DOI 10.1016/j.jmarsys.2012.08.007
   Kim K, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10020308
   Kim K, 2017, J CLEAN PROD, V143, P40, DOI 10.1016/j.jclepro.2016.12.152
   Kim MJ, 2019, J FLOOD RISK MANAG, V12, DOI 10.1111/jfr3.12494
   Kreibich H, 2010, HYDROLOG SCI J, V55, P1302, DOI 10.1080/02626667.2010.529815
   LINTNER J, 1964, Q J ECON, V78, P49, DOI 10.2307/1880545
   Lobeto H, 2018, J GEOPHYS RES-OCEANS, V123, P8284, DOI 10.1029/2018JC014487
   Mac Cawley A, 2020, ANN OPER RES, V286, P303, DOI 10.1007/s10479-018-2906-z
   Menéndez M, 2010, J GEOPHYS RES-OCEANS, V115, DOI 10.1029/2009JC005997
   Merz B, 2004, NAT HAZARD EARTH SYS, V4, P153, DOI 10.5194/nhess-4-153-2004
   Merz B, 2010, NAT HAZARD EARTH SYS, V10, P1697, DOI 10.5194/nhess-10-1697-2010
   MOSSIN J, 1966, ECONOMETRICA, V34, P768, DOI 10.2307/1910098
   Muis S, 2018, EARTHS FUTURE, V6, P1311, DOI 10.1029/2018EF000909
   Muñoz JI, 2011, ANN OPER RES, V186, P465, DOI 10.1007/s10479-011-0856-9
   Musulin R., 2017, Casualty Quarterly, V1, P1
   Newell RG, 2003, J ENVIRON ECON MANAG, V46, P52, DOI 10.1016/S0095-0696(02)00031-1
   Nicholls RJ, 2014, WIRES CLIM CHANGE, V5, P129, DOI 10.1002/wcc.253
   Oh S, 2018, J CLEAN PROD, V178, P507, DOI 10.1016/j.jclepro.2017.12.283
   Park T, 2014, WATER RESOUR MANAG, V28, P445, DOI 10.1007/s11269-013-0492-z
   Parker D. J., 2007, Environmental Hazards, V7, P193, DOI 10.1016/j.envhaz.2007.08.005
   Prettenthaler F, 2010, NAT HAZARD EARTH SYS, V10, P881, DOI 10.5194/nhess-10-881-2010
   Ranger N, 2013, EURO J DECIS PROCESS, V1, P233, DOI 10.1007/s40070-013-0014-5
   Regan CM, 2017, J ENVIRON MANAGE, V192, P171, DOI 10.1016/j.jenvman.2017.01.049
   Salas JD, 2018, HYDROLOG SCI J, V63, P325, DOI 10.1080/02626667.2018.1426858
   Salas JD, 2014, J HYDROL ENG, V19, P554, DOI 10.1061/(ASCE)HE.1943-5584.0000820
   Schiel C., 2019, Journal of Business Economics, V89, P291, DOI [DOI 10.1007/S11573-018-0913-9, 10.1007/s11573-018-0913-9]
   SCHWARTZ ES, 1994, J FINANC, V49, P1924, DOI 10.2307/2329279
   Seifert I, 2010, HYDROLOG SCI J, V55, P1315, DOI 10.1080/02626667.2010.536440
   Shao J, 2015, EUR ACTUAR J, V5, P113, DOI 10.1007/s13385-015-0104-9
   SHARPE WF, 1964, J FINANC, V19, P425, DOI 10.2307/2977928
   Song ML, 2019, ANN OPER RES, V283, P795, DOI [10.1007/s10479-017-2589-x, 10.1007/s10479-017-2550-X]
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Truong C, 2018, EUR J OPER RES, V269, P132, DOI 10.1016/j.ejor.2017.07.012
   Truong C, 2016, EUR J OPER RES, V253, P856, DOI 10.1016/j.ejor.2016.01.044
   Wang CH, 2015, CLIMATIC CHANGE, V132, P545, DOI 10.1007/s10584-015-1454-7
   Weinkle J, 2018, NAT SUSTAIN, V1, P808, DOI 10.1038/s41893-018-0165-2
   Werners SE, 2021, ENVIRON SCI POLICY, V116, P266, DOI 10.1016/j.envsci.2020.11.003
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Woodward M, 2011, J FLOOD RISK MANAG, V4, P339, DOI 10.1111/j.1753-318X.2011.01119.x
   Woodward M, 2014, RISK ANAL, V34, P75, DOI 10.1111/risa.12088
   Wreford A, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.642
NR 71
TC 0
Z9 0
U1 6
U2 6
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0254-5330
EI 1572-9338
J9 ANN OPER RES
JI Ann. Oper. Res.
PD 2024 MAY 21
PY 2024
DI 10.1007/s10479-024-05886-w
EA MAY 2024
PG 23
WC Operations Research & Management Science
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Operations Research & Management Science
GA RO3P3
UT WOS:001228567800002
OA hybrid
DA 2025-01-10
ER

PT J
AU Alam, KF
   Ahamed, T
AF Alam, Kazi Faiz
   Ahamed, Tofael
TI Climate-Adaptive Potential Crops Selection in Vulnerable Agricultural
   Lands Adjacent to the Jamuna River Basin of Bangladesh Using Remote
   Sensing and a Fuzzy Expert System
SO REMOTE SENSING
LA English
DT Article
DE climate change; climate adaptive crops; inundation vulnerability; land
   suitability; fuzzy expert system; remote sensing
ID SUITABILITY ASSESSMENT; DECISION-MAKING; GIS; FLOOD; CULTIVATION;
   DELINEATION; BIVARIATE; PROVINCE; AHP
AB Agricultural crop production was affected worldwide due to the variability of weather causing floods or droughts. In climate change impacts, flood becomes the most devastating in deltaic regions due to the inundation of crops within a short period of time. Therefore, the aim of this study was to propose climate-adaptive crops that are suitable for the flood inundation in risk-prone areas of Bangladesh. The research area included two districts adjacent to the Jamuna River in Bangladesh, covering an area of 5489 km(2), and these districts were classified as highly to moderately vulnerable due to inundation by flood water during the seasonal monsoon time. In this study, first, an inundation vulnerability map was prepared from the multicriteria analysis by applying a fuzzy expert system in the GIS environment using satellite remote sensing datasets. Among the analyzed area, 42.3% was found to be highly to moderately vulnerable, 42.1% was marginally vulnerable and 15.6% was not vulnerable to inundation. Second, the most vulnerable areas for flooding were identified from the previous major flood events and cropping practices based on the crop calendar. Based on the crop adaptation suitability analysis, two cash crops, sugarcane and jute, were recommended for cultivation during major flooding durations. Finally, a land suitability analysis was conducted through multicriteria analysis applying a fuzzy expert system. According to our analysis, 28.6% of the land was highly suitable, 27.9% was moderately suitable, 19.7% was marginally suitable and 23.6% of the land was not suitable for sugarcane and jute cultivation in the vulnerable areas. The inundation vulnerability and suitability analysis proposed two crops, sugarcane and jute, as potential candidates for climate-adaptive selection in risk-prone areas.
C1 [Alam, Kazi Faiz] Univ Tsukuba, Grad Sch Sci & Technol, Tsukuba 3058577, Japan.
   [Ahamed, Tofael] Univ Tsukuba, Fac Life & Environm Sci, Tsukuba 3058577, Japan.
C3 University of Tsukuba; University of Tsukuba
RP Ahamed, T (corresponding author), Univ Tsukuba, Fac Life & Environm Sci, Tsukuba 3058577, Japan.
EM tofael.ahamed.gp@u.tsukuba.ac.jp
FU Rotary Yoneyama Foundation
FX The authors would like to acknowledge the University of Tsukuba for
   providingsoftware support and laboratory facilities. We also express our
   sincere gratitude to the BangladeshBureau of Statistics (BBS) for
   providing the administrative and river shape files, International
   Centrefor Soil Information (ISRIC) for allowing access to soil datasets,
   Climate Hazards Group InfraRedPrecipitation with Station data (CHIRPS)
   for giving access to precipitation datasets and the UnitedStates
   Geological Survey (USGS) for allowing free access to the Landsat
   satellite images and DEM data.We are also grateful to the Google Earth
   Engine Platform for free access for students and researchersfor their
   studies. The authors are grateful to the Rotary Yoneyama Foundation for
   financial supportthrough a monthly scholarship
CR Akinci H, 2013, COMPUT ELECTRON AGR, V97, P71, DOI 10.1016/j.compag.2013.07.006
   Alam KF, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14215582
   Alam MS., 2010, The Agriculturists, V8, P88, DOI DOI 10.3329/AGRIC.V8I2.7582
   Alamgir M., 1980, FAMINE S ASIA POLITI
   Anderson R, 2020, CURR OPIN PLANT BIOL, V56, P197, DOI [10.1016/j.pbi.2020.12.006, 10.1016/j.pbi.2019.12.006]
   [Anonymous], 2021, BBS YB AGR STAT 2021
   Arab ST, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14184450
   arcgis, 2016, ESRI AR FUNCT
   ASB Banglapedia, 2006, NAT ENC BANGL
   Bangladesh, 2004, POSTFLOOD NEEDS ASSE
   Bangladesh Water Development Board (BWDB), 1974, LAND RECL PROJ REP
   Bellman R. E., 1971, Decision-making in a fuzzy environment, DOI 10.1287/mnsc.17.4.B141
   Bojórquez-Tapia LA, 2001, INT J GEOGR INF SCI, V15, P129, DOI 10.1080/13658810010005534
   BRAMMER H, 1990, GEOGR J, V156, P12, DOI 10.2307/635431
   Chiranjit Singha Chiranjit Singha, 2018, International Journal of Bio-resource and Stress Management, V9, P323, DOI 10.23910/ijbsm/2018.9.3.1869
   Das AC, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12244136
   Ferretti Valentina, 2013, Environment Development and Sustainability, V15, P859, DOI 10.1007/s10668-012-9400-6
   Ferretti Valentina, 2012, Environment Development and Sustainability, V14, P843, DOI 10.1007/s10668-012-9354-8
   Frazier PS, 2000, PHOTOGRAMM ENG REM S, V66, P1461
   Gilliams S, 2005, NEW FOREST, V30, P33, DOI 10.1007/s11056-004-0761-z
   Grassano N., 2011, Italian Journal of Agronomy, V6, pe16, DOI 10.4081/ija.2011.e16
   Habibie MI, 2021, GEOJOURNAL, V86, P777, DOI 10.1007/s10708-019-10091-5
   Haque M.N., 2022, ARAB GULF J SCI RES
   Hassan MM, 2016, ENVIRON DEV SUSTAIN, V18, P697, DOI 10.1007/s10668-015-9672-8
   HASSAN N, 1985, ECOL FOOD NUTR, V17, P175, DOI 10.1080/03670244.1985.9990891
   Hossain MS, 2009, LANDSCAPE URBAN PLAN, V90, P119, DOI 10.1016/j.landurbplan.2008.10.020
   Hossain SMM, 2003, DISASTERS, V27, P172, DOI 10.1111/1467-7717.00227
   Islam MM, 2022, REMOTE SENS APPL, V25, DOI 10.1016/j.rsase.2021.100692
   Jamil M, 2018, GEOJOURNAL, V83, P595, DOI 10.1007/s10708-017-9788-5
   JENKS GF, 1971, ANN ASSOC AM GEOGR, V61, P217, DOI 10.1111/j.1467-8306.1971.tb00779.x
   Jenks GF., 1967, Int Yearb Cartogr, V7, P186, DOI DOI 10.1201/9780429464195-7
   Khan F.H., 1991, GEOLOGY BANGLADESH, P207
   Khan I., 2014, INT J ENG DEV RES, V2, P3365
   Khan L. R., 1991, International Journal of Water Resources Development, V7, P45, DOI 10.1080/07900629108722491
   Khosravi K, 2016, NAT HAZARDS, V83, P947, DOI 10.1007/s11069-016-2357-2
   Kilic OM, 2022, SAUDI J BIOL SCI, V29, P2634, DOI 10.1016/j.sjbs.2021.12.050
   McFeeters SK, 1996, INT J REMOTE SENS, V17, P1425, DOI 10.1080/01431169608948714
   Mostafiz RB, 2021, ASIA-PAC J REG SCI, V5, P757, DOI 10.1007/s41685-021-00197-5
   Muhsin N, 2018, ASIA-PAC J REG SCI, V2, P35, DOI 10.1007/s41685-017-0046-0
   Mujeri M. K., 1980, Bangladesh Development Studies, V8, P83
   Nasim M., 2018, Bangladesh Rice Journal, V21, P1, DOI [DOI 10.3329/BRJ.V21I2.38195, 10.3329/brj. v21i2.38195]
   Okolie CC, 2023, LAND-BASEL, V12, DOI 10.3390/land12010050
   Palada M.C., 2003, INT COOPERATOR GUIDE, V2, P1
   Purnamasari RA, 2019, COMPUT ELECTRON AGR, V166, DOI 10.1016/j.compag.2019.105018
   reliefweb, US
   Sadique M.Z., 2021, FLOOD MANAGEMENT PER
   Sarker RA, 1997, APPL MATH MODEL, V21, P621, DOI 10.1016/S0307-904X(97)00083-8
   Shamsuzzoha M, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15020295
   Shamsuzzoha Md, 2022, Agricultural Information Research, V31, P32, DOI 10.3173/air.31.32
   Shamsuzzoha M, 2021, REMOTE SENS APPL, V23, DOI 10.1016/j.rsase.2021.100523
   Talukder F.A.H., 1993, BANGLADESH J EXT ED, V5, P65
   Tehrany MS, 2014, ENVIRON EARTH SCI, V72, P4001, DOI 10.1007/s12665-014-3289-3
   USDA, 1980, AGR RES SERV SOIL TE
   Wang LZ, 2018, FUTURE GENER COMP SY, V78, P353, DOI 10.1016/j.future.2016.06.009
   Worqlul AW, 2019, COMPUT ELECTRON AGR, V157, P110, DOI 10.1016/j.compag.2018.12.040
   Zhang JQ, 2015, COMPUT ELECTRON AGR, V114, P202, DOI 10.1016/j.compag.2015.04.004
   ,, 1976, FAO Soils Bulletin
NR 57
TC 2
Z9 2
U1 2
U2 11
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
J9 REMOTE SENS-BASEL
JI Remote Sens.
PD APR
PY 2023
VL 15
IS 8
AR 2201
DI 10.3390/rs15082201
PG 22
WC Environmental Sciences; Geosciences, Multidisciplinary; Remote Sensing;
   Imaging Science & Photographic Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
GA E9YV0
UT WOS:000979018400001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Milentijevic, N
   Martic-Bursac, N
   Gocic, M
   Ivanovic, M
   Strålman, SO
   Pantelic, M
   Milosevic, D
   Stricevic, L
AF Milentijevic, Nikola
   Martic-Bursac, Natasa
   Gocic, Milena
   Ivanovic, Marko
   Stralman, Sanja Obradovic
   Pantelic, Milana
   Milosevic, Dragan
   Stricevic, Ljiljana
TI Spatio-Temporal Variability of Aridity and Humidity Indices in Bačka
   (Serbia)
SO PURE AND APPLIED GEOPHYSICS
LA English
DT Article; Early Access
DE De Martonne index; rainfall anomaly index; Lobova index; Ba & ccaron;ka;
   Serbia
ID STANDARDIZED PRECIPITATION INDEX; SPATIAL-DISTRIBUTION; CLIMATE-CHANGE;
   VOJVODINA; DROUGHT; CLASSIFICATION; TEMPERATURE; REGION; BASIN; GIS
AB This paper assessed aridity and humidity conditions in Ba & ccaron;ka (north Serbia) in the period 1949-2018. The assessment was based on the analysis of air temperature and total precipitation from 5 meteorological stations. Spatio-temporal changes were determined based on aridity indices, statistical and interpolation procedures. The Mann-Kendall indicates no statistical significance in aridity trends at most stations. The annual value of the Lobova index indicates arid conditions. Monthly values of the De Martonne index (IDM) do not show a statistically significant positive or negative trend, except for May, September to December. The annual values of the IDM indicate diversity of aridity conditions with a statistically significant positive trend on annual level only at one station (Sombor). Dry and wet years are equally distributed based on Rainfall Anomaly Index (RAI). The 2010 belongs to extremely wet category while the 2000 stands out as extremely dry. Statistically significant positive aridity trend was observed for RAI on annual level for two stations (Pali & cacute; and Sombor). According to interpolation technique, annual and seasonal values of the IDM belong to humid and semi-humid conditions. The spatial variability of the RAI is between normal and slightly dry. The Lobova index shows different patterns of aridity. This study provides insight into the dynamics of aridity, and its results can be used in planning and implementing climate change adaptation measures. Since agricultural productivity is highly dependent on aridity and drought conditions, agricultural activities face numerous challenges. Therefore, the presented results can provide a solid basis for designing and implementing adaptation strategies and interventions on a regional scale in order to mitigate the impacts of climate change and aridity on agricultural production in the studied region.
C1 [Milentijevic, Nikola; Ivanovic, Marko] Univ Pristina Kosovska Mitrovica, Fac Sci & Math, Dept Geog, Mitrovica, Serbia.
   [Martic-Bursac, Natasa; Gocic, Milena; Stricevic, Ljiljana] Univ Nis, Fac Sci & Math, Dept Geog, Nish, Serbia.
   [Stralman, Sanja Obradovic; Pantelic, Milana] Univ Novi Sad, Fac Sci, Dept Geog Tourism & Hotel Management, Novi Sad, Serbia.
   [Milosevic, Dragan] Wageningen Univ & Res, Meteorol & Air Qual Sect, Wageningen, Netherlands.
   [Milosevic, Dragan] Wageningen Univ & Res, Hydrol & Environm Hydraul Sect, Wageningen, Netherlands.
RP Milentijevic, N (corresponding author), Univ Pristina Kosovska Mitrovica, Fac Sci & Math, Dept Geog, Mitrovica, Serbia.
EM nikola.milentijevic@pr.ac.rs; natasam@pmf.ni.ac.rs;
   milena.j.gocic@gmail.com; marko.ivanovic@pr.ac.rs;
   sanja.obradovic@dgt.uns.ac.rs; milanap@dgt.uns.ac.rs;
   dragan.milosevic@wur.nl; ljiljana.s.stricevic@gmail.com
FU Ministry of Science, Technological Development and Innovation of the
   Republic of Serbia [451-03-65/2024-03/200123, 451-03-65/2024-03/200124];
   Provincial Secretariat for Science and Technological Development
   [142-451-3485/2023-01]
FX The authors are grateful for the financial support of the Ministry of
   Science, Technological Development and Innovation of the Republic of
   Serbia (projects no. 451-03-65/2024-03/200123 and
   451-03-65/2024-03/200124). Also, the authors express gratitude for the
   financial support of the Provincial Secretariat for Science and
   Technological Development (project no. 142-451-3485/2023-01).
CR Adler RF, 2017, SURV GEOPHYS, V38, P679, DOI 10.1007/s10712-017-9416-4
   Ahmed K, 2019, HYDROL EARTH SYST SC, V23, P3081, DOI 10.5194/hess-23-3081-2019
   Akudo EO, 2023, ENVIRON MONIT ASSESS, V195, DOI 10.1007/s10661-022-10686-5
   American Meteorological Society, 2000, Glossary of meteorology
   Andrade C., 2016, International Journal of Environmental Science, V1, P52
   Andrade C, 2021, WATER-SUI, V13, DOI 10.3390/w13152035
   Ann Arbor M. I., 2021, Great lakes integrated sciences and assessments (GLISA)
   [Anonymous], 1992, WORLD ATLAS DESERTIF
   [Anonymous], 1968, P 1968 23 ACM NAT C, DOI [DOI 10.1145/800186.810616, 10.1145/800186.810616]
   Araghi A, 2018, INT J CLIMATOL, V38, P2701, DOI 10.1002/joc.5454
   Arora VK, 2002, J HYDROL, V265, P164, DOI 10.1016/S0022-1694(02)00101-4
   Aryal A, 2022, EARTH-BASEL, V3, P409, DOI 10.3390/earth3010025
   Bacevic N, 2017, CARPATH J EARTH ENV, V12, P563
   Baltas E, 2007, METEOROL APPL, V14, P69, DOI 10.1002/met.7
   Bezdan J, 2019, WATER-SUI, V11, DOI 10.3390/w11071481
   Bukurov B., 1975, Fizicko-geografski problemi Backe
   Buri D., 2019, Bulletin of the Serbian Geographical Society, V99, P19, DOI [10.2298/GSGD1901019B, DOI 10.2298/GSGD1901019B]
   Buric D., 2007, Klima Podgorice
   Buric D, 2024, J WATER CLIM CHANGE, V15, P5149, DOI 10.2166/wcc.2024.238
   Buric D, 2023, IDOJARAS, V127, P379, DOI 10.28974/idojaras.2023.3.6
   Buric D, 2018, J GEOGR INST JOVAN C, V68, P399, DOI 10.2298/IJGI180423009B
   Carvalho D, 2022, CLIMATIC CHANGE, V174, DOI 10.1007/s10584-022-03454-4
   Charalampopoulos I, 2023, ATMOSPHERE-BASEL, V14, DOI 10.3390/atmos14050858
   Chen CF, 2015, ARAB J GEOSCI, V8, P6623, DOI 10.1007/s12517-014-1717-z
   Cheng ML, 2017, WATER-SUI, V9, DOI 10.3390/w9110838
   Cheval S, 2017, CATENA, V151, P74, DOI 10.1016/j.catena.2016.11.029
   Costa J. A., 2017, Ciencia e Natura, V39, P627, DOI 10.5902/2179460X26080
   Croitoru AE, 2013, THEOR APPL CLIMATOL, V112, P597, DOI 10.1007/s00704-012-0755-2
   Dai AG, 2013, NAT CLIM CHANGE, V3, P52, DOI [10.1038/NCLIMATE1633, 10.1038/nclimate1633]
   De Martonne E., 1925, Geographical Review, V15, P336, DOI DOI 10.2307/208490
   Deniz A, 2011, INT J CLIMATOL, V31, P394, DOI 10.1002/joc.2081
   Derdous O, 2020, THEOR APPL CLIMATOL, V142, P1191, DOI 10.1007/s00704-020-03339-5
   Djebou DCS, 2015, J ARID ENVIRON, V115, P35, DOI 10.1016/j.jaridenv.2015.01.005
   Djurdjevic V, 2024, ATMOS RES, V304, DOI 10.1016/j.atmosres.2024.107376
   Dragovic S., 2008, Drought management: Scientific and technological innovations, P101
   Emberger L., 1930, REV BOTANIQUE, P705
   Erin S., 1965, An Attempt on precipitation efficiency and a new index
   Feng S, 2013, ATMOS CHEM PHYS, V13, P10081, DOI 10.5194/acp-13-10081-2013
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fujioka T, 2010, GEOL SOC SPEC PUBL, V346, P121, DOI 10.1144/SP346.8
   Gavrilov MB, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11121269
   Gavrilov MB, 2019, OPEN GEOSCI, V11, P367, DOI 10.1515/geo-2019-0029
   Gebremedhin MA, 2018, APPL WATER SCI, V8, DOI 10.1007/s13201-018-0868-6
   Gilbert R., 1987, Statistical Methods for Environmental Pollution Monitoring, VVolume 320
   Gocic M, 2020, SPRINGER WATER, P277, DOI 10.1007/978-3-030-22468-4_11
   Gocic M, 2014, J HYDROL, V510, P110, DOI 10.1016/j.jhydrol.2013.12.030
   Greve P, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab5046
   Grünig M, 2023, GLOBAL CHANGE BIOL, V29, P1648, DOI 10.1111/gcb.16547
   Hänsel S, 2016, THEOR APPL CLIMATOL, V123, P827, DOI 10.1007/s00704-015-1389-y
   Houmsi MR, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11247047
   Hrnjak I, 2014, THEOR APPL CLIMATOL, V115, P323, DOI 10.1007/s00704-013-0893-1
   Jafarpour M, 2023, APPL WATER SCI, V13, DOI 10.1007/s13201-023-01939-w
   Jovanovic M., 2013, Geographica Pannonica, V17, P114, DOI [10.5937/GeoPan1304114J, DOI 10.5937/GEOPAN1304114J]
   Katic P., 1979, Klima SAP Vojvodine
   Kennedy JJ, 2019, J GEOPHYS RES-ATMOS, V124, P7719, DOI 10.1029/2018JD029867
   Koutroulis AG, 2019, SCI TOTAL ENVIRON, V655, P482, DOI 10.1016/j.scitotenv.2018.11.215
   Lang R., 1915, Internationale Mitteilungen fuer Bodenkunde, V5, P312
   Lanly JP., 1989, FAO conservation guide
   Lanzante JR, 2021, INT J CLIMATOL, V41, P6314, DOI 10.1002/joc.7196
   Lee H., 2023, Climate Change (2023): Synthesis Report. Contribution of Working Groups I,II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change Core Writing Team, P1, DOI [10.59327/IPCC/AR6-9789291691647.001, DOI 10.59327/IPCC/AR6-9789291691647.001]
   Liu BY, 2019, PEERJ, V7, DOI 10.7717/peerj.7272
   Livezey RE, 2007, J APPL METEOROL CLIM, V46, P1759, DOI 10.1175/2007JAMC1666.1
   Lloyd CD, 2010, INT J CLIMATOL, V30, P390, DOI 10.1002/joc.1892
   LOBOVA E V, 1977, Problemy Osvoeniya Pustyn', P31
   Lukic T, 2013, ACTA GEOGR SLOV, V53, P150, DOI 10.3986/AGS53301
   Lukovic J, 2024, THEOR APPL CLIMATOL, DOI 10.1007/s00704-024-04893-y
   Marti-Bursa N., 2015, TemeJournal for Social Sciences, V39, P275
   Mei G, 2017, ROY SOC OPEN SCI, V4, DOI 10.1098/rsos.170436
   Milentijevic N., 2022, E valuation of Geoecological Determinants of Backa in the Function of Sustainable Development
   Milentijevic N, 2021, POL J ENVIRON STUD, V30, P5175, DOI 10.15244/pjoes/135617
   Milentijevic N, 2018, J GEOGR INST JOVAN C, V68, P249, DOI 10.2298/IJGI1802249M
   Miloevi D., 2013, Dela, V39, P125, DOI [10.4312/dela.39.125-139, DOI 10.4312/DELA.39.125-139]
   Milosevic D, 2022, INT J BIOMETEOROL, V66, P371, DOI 10.1007/s00484-020-02058-w
   Mílosevic DD, 2015, ITAL J AGROMETEOROL, V20, P35
   Milovanovic B, 2017, J GEOGR INST JOVAN C, V67, P103, DOI 10.2298/IJGI1702103M
   Ministry of Environmental Protection, 2017, 2 NAT COMM REP SERB
   Moral FJ, 2016, THEOR APPL CLIMATOL, V126, P801, DOI 10.1007/s00704-015-1615-7
   Mudelsee M, 2019, EARTH-SCI REV, V190, P310, DOI 10.1016/j.earscirev.2018.12.005
   Municipalities and Regions in the Republic of Serbia, 2023, Municipalities and Regions in the Republic of Serbia
   Ninkov J, 2017, ENVIRON SCI POLLUT R, V24, P10966, DOI 10.1007/s11356-016-7897-1
   Nouri M, 2019, THEOR APPL CLIMATOL, V136, P1073, DOI 10.1007/s00704-018-2543-0
   Paniagua LL, 2019, THEOR APPL CLIMATOL, V138, P811, DOI 10.1007/s00704-019-02866-0
   Pankova E. I., 2020, Bulletin of V. V. Dokuchaev Soil Science Institute, P19, DOI 10.19047/0136-1694-2020-101-19-46
   Parkes SD, 2017, HYDROL EARTH SYST SC, V21, P533, DOI 10.5194/hess-21-533-2017
   Pellicone G, 2019, J MAPS, V15, P788, DOI 10.1080/17445647.2019.1673840
   Popov T., 2019, Glasnik Srpskog Geografskog Drustva, V99, P29, DOI 10.2298/GSGD1901029P
   Pour SH, 2020, ATMOS RES, V233, DOI 10.1016/j.atmosres.2019.104704
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Radakovic MG, 2018, THEOR APPL CLIMATOL, V133, P887, DOI 10.1007/s00704-017-2220-8
   Radulovi M., 2023, Environmental Sciences Proceedings, V26, P44, DOI [10.3390/environsciproc2023026044, DOI 10.3390/ENVIRONSCIPROC2023026044]
   Rakievi T., 1988, Glasnik Srpskog geografskog drutva, V68, P9
   Raziei T, 2021, J HYDROL, V602, DOI 10.1016/j.jhydrol.2021.126761
   RHMSS, 2024, Meteorological yearbooks-climatological data
   Sahour H, 2020, THEOR APPL CLIMATOL, V142, P1039, DOI 10.1007/s00704-020-03370-6
   Salmi T., 2002, Finnish Meteorological Institute Publications on Air Quality, V31
   Salvati L., 2013, Geography Journal, DOI [10.1155/2013/923173, DOI 10.1155/2013/923173]
   Sarlak N, 2018, THEOR APPL CLIMATOL, V133, P89, DOI 10.1007/s00704-017-2163-0
   Selyaninov G.T., 1928, Proc. Agric. Meteorol, V20, P165
   Serkendiz H, 2024, THEOR APPL CLIMATOL, V155, P2997, DOI 10.1007/s00704-023-04772-y
   Shaban A, 2019, ACTA GEOPHYS, V67, P1179, DOI 10.1007/s11600-019-00300-7
   Shen S., 2003, Statistical Analysis of Drought Indices and Alberta Drought Monitoring, Alberta Agriculture, Food and Rural Development, Canada
   Shoshany M, 2023, ENVIRON MONIT ASSESS, V195, DOI 10.1007/s10661-023-11082-3
   Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1
   Staji M., 2022, Contemporary Agriculture, V71, P45, DOI [10.2478/contagri-2022-0007, DOI 10.2478/CONTAGRI-2022-0007]
   Stojanovic V., 2014, Ritovi Backe: geografske karakteristike, isusivanje, koriscenje i zastita prirode
   Stricevic R., 2021, Zemljiste i biljka, V70, P41, DOI DOI 10.5937/ZEMBILJ2101041S
   Stricevic R, 2011, METEOROL APPL, V18, P60, DOI 10.1002/met.207
   Tabari H, 2014, QUATERN INT, V345, P158, DOI 10.1016/j.quaint.2014.03.061
   Tadic L, 2015, GRADEVINAR, V67, P11
   Talib SAA, 2024, HELIYON, V10, DOI 10.1016/j.heliyon.2024.e30324
   Tang YQ, 2020, ATMOS OCEAN SCI LETT, V13, P559, DOI 10.1080/16742834.2020.1776088
   Teegavarapu RSV, 2019, TRENDS AND CHANGES IN HYDROCLIMATIC VARIABLES: LINKS TO CLIMATE VARIABILITY AND CHANGE, P1, DOI 10.1016/B978-0-12-810985-4.00001-3
   Thornthwaite CW, 1948, GEOGR REV, V38, P55, DOI 10.2307/210739
   Tong SQ, 2017, POL J ENVIRON STUD, V26, P819, DOI 10.15244/pjoes/65840
   Tosic I, 2017, THEOR APPL CLIMATOL, V128, P785, DOI 10.1007/s00704-016-1749-2
   Tosic I, 2014, THEOR APPL CLIMATOL, V117, P331, DOI 10.1007/s00704-013-1007-9
   Trenberth KE, 2014, NAT CLIM CHANGE, V4, P17, DOI 10.1038/NCLIMATE2067
   Trke M., 2003, Mediterranean climate: regional climate studies, DOI [10.1007/978-3-642-55657-911, DOI 10.1007/978-3-642-55657-911]
   Ullah S, 2022, ATMOS RES, V268, DOI 10.1016/j.atmosres.2021.105998
   Valjarevic A, 2018, APPL GEOGR, V92, P131, DOI 10.1016/j.apgeog.2018.01.016
   Van Rooy MP., 1965, Notos, V14, P43
   Vicente-Serrano SM, 2010, J CLIMATE, V23, P1696, DOI 10.1175/2009JCLI2909.1
   Vladut AS, 2020, THEOR APPL CLIMATOL, V140, P589, DOI 10.1007/s00704-020-03107-5
   Vladut AS, 2017, HRVAT GEORGR GLAS, V79, P5, DOI 10.21861/HGG.2017.79.02.01
   Wilks DS, 2016, B AM METEOROL SOC, V97, P2263, DOI 10.1175/BAMS-D-15-00267.1
   Wu XL, 2023, ENVIRON EARTH SCI, V82, DOI 10.1007/s12665-023-11070-3
   Yavasli DD, 2023, INT J CLIMATOL, V43, P6207, DOI 10.1002/joc.8201
   z FY., 2024, Earth Science Informatics, DOI [10.1007/s12145-024-01401-8, DOI 10.1007/S12145-024-01401-8]
   Zambakas J., 1992, General Climatology
   Zhou J, 2020, J GEOGR SCI, V30, P37, DOI 10.1007/s11442-020-1713-z
   Zlebir S., 2011, Archive of local/regional/national drought periods and impact based on historical records; mitigation practices and drought management from all countries/regions added to the archive
   Zolfaghari H, 2016, ARAB J GEOSCI, V9, DOI 10.1007/s12517-016-2379-9
   Zomer RJ, 2022, SCI DATA, V9, DOI 10.1038/s41597-022-01493-1
   ,, 1979, MAB Technical Notes, pmap
NR 134
TC 0
Z9 0
U1 1
U2 1
PU SPRINGER BASEL AG
PI BASEL
PA PICASSOPLATZ 4, BASEL, 4052, SWITZERLAND
SN 0033-4553
EI 1420-9136
J9 PURE APPL GEOPHYS
JI Pure Appl. Geophys.
PD 2024 DEC 28
PY 2024
DI 10.1007/s00024-024-03628-4
EA DEC 2024
PG 24
WC Geochemistry & Geophysics
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geochemistry & Geophysics
GA Q5N1K
UT WOS:001385135000001
DA 2025-01-10
ER

PT J
AU Salami, AA
AF Salami, Afeez Alabi
TI Rainfall Variability and Trends Analyses in Nigeria Using Remotely
   Sensed Data and CMIP5 Models
SO EARTH SYSTEMS AND ENVIRONMENT
LA English
DT Article; Early Access
DE Coefficient of variation; Mann-Kendall test; Precipitation trends;
   Satellite-based precipitation data; Sen's slope estimator;
   Spatio-temporal variability
ID WEST-AFRICA; RIVER-BASIN; PRECIPITATION; PRODUCTS; CLIMATE; TEMPERATURE;
   IMPACTS; ONSET
AB The complex rainfall patterns in Nigeria, with notable increases and declines, pose significant environmental risks and agricultural opportunities. Investigating their drivers and impacts is essential for understanding socio-economic and environmental dynamics. This research aims to analyse the spatial and temporal variability of rainfall patterns in Nigeria, identifying trends, potential impacts on agriculture, and the implications for climate change adaptation and sustainable development strategies in the region. Satellite-based precipitation data spanning from 1981 to 2019; and climate projection data from the Coupled Model Intercomparison Project Phase 5 (CMIP5), spanning the years 2020 to 2059 were employed. Statistical techniques such as the Coefficient of Variation (CV), Sen's Slope estimator, and Mann-Kendall Trend Test were applied to assess precipitation variability and trends at both annual and seasonal scales, while rainfall variability and trend patterns were mapped using Kriging interpolation method in ArcGIS environment. The study revealed that annual precipitation across Nigeria was below 20%, reflecting less variability in inter-annual rainfall, while high variability (> 30%) occurred during March-May and September-November seasons in the northern part of the country, which makes the area vulnerable to drought. Increasing rainfall variability (2020-2059), especially in the north is also observed. The study further revealed a significant annual precipitation increase in Nigeria (1981-2019), with 94% of stations showing positive trends, mainly in the March-April-May and September-October-November seasons. Under RCP 8.5, significant rainfall decreases are expected, impacting water resources and agriculture, while RCPs 2.6 and 4.5 show non-significant trends. Urgent adaptation strategies like agricultural adaptation, water resource management, infrastructure development, capacity building, policy and planning, are essential in Nigeria to address climate risks like droughts in the north and floods in the south, promoting sustainable development and community resilience.
C1 [Salami, Afeez Alabi] Univ Ilorin, Dept Geog & Environm Management, PMB 1515, Ilorin, Nigeria.
RP Salami, AA (corresponding author), Univ Ilorin, Dept Geog & Environm Management, PMB 1515, Ilorin, Nigeria.
EM afeez_alabi@ymail.com
CR Abaje I.B., 2013, Global Journal of Human Social Science (B): Geography, Geo-Sciences Environmental, V13, P1
   Abaje IB., 2018, GHANA J GEOGRAPHY, V10, P1, DOI DOI 10.4314/gjg.v10i1.1
   ADEFOLALU DO, 1986, THEOR APPL CLIMATOL, V37, P205, DOI 10.1007/BF00867578
   Ahmed K, 2017, DESALIN WATER TREAT, V79, P73, DOI 10.5004/dwt.2017.20859
   Aich V, 2015, WATER-SUI, V7, P2796, DOI 10.3390/w7062796
   Akinsanola AA, 2019, CLIM DYNAM, V52, P2017, DOI 10.1007/s00382-018-4238-8
   Akinsanola AA, 2018, THEOR APPL CLIMATOL, V132, P437, DOI 10.1007/s00704-017-2087-8
   Akinsanola A.A., 2014, Global Journal of Human Social Sciences: Geography Environmental GeoSciences, V14, P1
   Akintola FO, 1992, Perspectives in Applied Climatology, V1
   Alademomi AS, 2022, APPL GEOMAT, V14, P299, DOI 10.1007/s12518-022-00434-2
   Alam F, 2021, SN APPL SCI, V3, DOI 10.1007/s42452-021-04457-z
   Alemu MM, 2020, J WATER CLIM CHANGE, V11, P1505, DOI 10.2166/wcc.2019.084
   Almazroui M, 2021, EARTH SYST ENVIRON, V5, P481, DOI 10.1007/s41748-021-00250-5
   Almazroui M, 2020, EARTH SYST ENVIRON, V4, P455, DOI 10.1007/s41748-020-00161-x
   Aloysius B., 2012, J SUSTAINABLE DEV, V5, P69, DOI [DOI 10.5539/JSD.V5N7P69, 10.5539/jsd.v5n7p69]
   ANYADIKE RNC, 1993, INT J CLIMATOL, V13, P567, DOI 10.1002/joc.3370130507
   Asfaw A, 2018, WEATHER CLIM EXTREME, V19, P29, DOI 10.1016/j.wace.2017.12.002
   Ati O. F., 2009, Research Journal of Environmental and Earth Sciences, V1, P58
   Ati OF, 2002, INT J CLIMATOL, V22, P731, DOI 10.1002/joc.712
   Ayanlade A, 2009, INT J CLIM CHANG STR, V1, P282, DOI 10.1108/17568690910977492
   Ayehu GT, 2018, ATMOS MEAS TECH, V11, P1921, DOI 10.5194/amt-11-1921-2018
   Babatolu JS., 1996, Ondo Journal of Arts and Social Sciences, V1, P125
   Cattani E, 2016, J HYDROMETEOROL, V17, P2555, DOI 10.1175/JHM-D-15-0042.1
   Chandrashekar VD, 2018, ARAB J GEOSCI, V11, DOI 10.1007/s12517-018-3700-6
   Chandrashekar VD, 2017, MODEL EARTH SYST ENV, V3, P1611, DOI 10.1007/s40808-017-0395-8
   Dembélé M, 2016, INT J REMOTE SENS, V37, P3995, DOI 10.1080/01431161.2016.1207258
   Dereje Ayalew Dereje Ayalew, 2012, African Journal of Agricultural Research, V7, P1475
   Eludoyin A., 2009, Journal of Meteorology and Climate Science, V7, P11
   Eludoyin OM, 2014, INT J CLIMATOL, V34, P2000, DOI 10.1002/joc.3817
   Escarcha JF, 2018, CLIM RISK MANAG, V20, P50, DOI 10.1016/j.crm.2018.03.003
   Fenta AA, 2018, ATMOS RES, V212, P43, DOI 10.1016/j.atmosres.2018.05.009
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Funk CC, 2014, U.S. Geological Survey Data Series, V4, DOI [DOI 10.3133/DS832, 10.3133/ds832]
   GARFIELD E, 1977, CURR CONTENTS, P5
   Gebremicael TG, 2017, Hydrol Earth Syst Sci Discuss, P1, DOI [DOI 10.5194/HESS-2017-504, 10.5194/hess-]
   Glibert RO., 1987, Statistical methods for environmental pollution monitoring
   Hare FK, 1983, Climate and Desertification. Revised analysis (WMO-UNDP) WCP-44, P5
   Hashim R, 2016, ATMOS RES, V171, P21, DOI 10.1016/j.atmosres.2015.12.002
   Huffman GJ, 2007, J HYDROMETEOROL, V8, P38, DOI 10.1175/JHM560.1
   Ibebuchi CC, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-34970-7
   Ifabiyi IP, 2015, Scientia Africana, V14, P229
   Lawal KA., 2019, Journal of Climate Change, V6, P78
   Le Loh J, 2016, ASIA-PAC J ATMOS SCI, V52, P191, DOI 10.1007/s13143-016-0019-7
   Lesk C, 2016, NATURE, V529, P84, DOI 10.1038/nature16467
   Machiwal D, 2012, Hydrological time series analysis: Theory and practice, P249, DOI [10.1007/978-94-007-1861-612, DOI 10.1007/978-94-007-1861-612]
   Maidment RI, 2017, SCI DATA, V4, DOI 10.1038/sdata.2017.63
   Maidment RI, 2014, J GEOPHYS RES-ATMOS, V119, P10619, DOI 10.1002/2014JD021927
   Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187
   Mehan S, 2019, WATER-SUI, V11, DOI 10.3390/w11030581
   Mehan S, 2016, CLIMATE, V4, DOI 10.3390/cli4040056
   Mukheiber P, 2005, Climate variability, climate change and water resources strategies from municipalities
   Nigerian Meteorological Agency-NiMets, 2019, Seasonal rainfall prediction
   Nurmohamed R, 2017, Journal of Agriculture and Environmental Sciences, V6, P51, DOI [10.15640/jaes.v6n1a6, DOI 10.15640/JAES.V6N1A6]
   Nwachukwu PN, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12233964
   Odekunle TO., 2001, Ife Research Publications in Geography, V8, P36
   Odjugo A. O. P., 2003, Global Journal of Environmental Sciences, V2, P118
   Odjugo P. A. O., 2005, Global Journal of Environmental Sciences, V4, P139
   Ogbu KN, 2020, CLIMATE, V8, DOI 10.3390/cli8100103
   Oguntunde PG, 2006, PHYS CHEM EARTH, V31, P1180, DOI 10.1016/j.pce.2006.02.062
   Oguntunde PG, 2018, STOCH ENV RES RISK A, V32, P1017, DOI 10.1007/s00477-017-1484-y
   Oguntunde PG, 2011, J HYDROL, V411, P207, DOI 10.1016/j.jhydrol.2011.09.037
   Ojo A., 2020, J Hydrol, V589, DOI [10.1016/j.jhydrol.2020.125650, DOI 10.1016/J.JHYDROL.2020.125650]
   Oladipo EO., 1993, Is the climate of Nigeria becoming more arid? Paper presented at the 36th Annual Conference of the Nigerian Geographical Association
   Oladipo EO., 2022, Int J Climatol, V42, P1200
   OLANIRAN OJ, 1989, INT J CLIMATOL, V9, P253, DOI 10.1002/joc.3370090304
   Olaniran OJ, 2002, 55 IN LECT 25 APR 20
   Olaniran OJ., 1983, Nigerian Geographical Journal, V26, P81
   Ologunorisa E.T., 2004, International Journal of Environmental studies, V61, P31, DOI DOI 10.1080/0020723032000130061
   Omotosho J. B., 1988, Atmospheric Research, V22, P137, DOI 10.1016/0169-8095(88)90004-X
   Onyutha C, 2016, ADV METEOROL, V2016, DOI 10.1155/2016/8701617
   Oriola EO., 1994, Environmentalist, V14, P57, DOI [10.1007/BF01902660, DOI 10.1007/BF01902660]
   Praveen B, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-67228-7
   Salami A., 2022, Arab J Geosci, V15, P1785, DOI [10.1007/s12517-022-11071-9, DOI 10.1007/S12517-022-11071-9]
   Salami AA, 2024, Natural resources deterioration in MENA Region. Earth and Environmental Sciences Library, DOI [10.1007/978-3-031-58315-514, DOI 10.1007/978-3-031-58315-514]
   Salami AA, 2023, An assessment of remotely sensed precipitation data for synoptic weather forecasts and drought monitoring in Nigeria
   Salami AA., 2021, Journal of Meteorology and Climate Science, V19, P29
   Salami AA, 2024, HYDROLOG SCI J, V69, P1997, DOI 10.1080/02626667.2024.2395462
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Shepherd JM, 2002, J APPL METEOROL, V41, P689, DOI 10.1175/1520-0450(2002)041<0689:RMBMUA>2.0.CO;2
   Shiru MS, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-67146-8
   Sylla MB, 2015, J CLIMATE, V28, P6475, DOI 10.1175/JCLI-D-14-00854.1
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Tilakasiri SL., 2017, Development dynamics: Transforming societies for sustainable futures, P337
   Tilakasiri SL, 2016, Water, land and people in climate change, P3
   Usman M, 2018, AGR FOREST METEOROL, V260, P273, DOI 10.1016/j.agrformet.2018.06.016
   Watkins R, 2012, 28 C OPP LIM NEEDS E
   Westra S, 2013, J CLIMATE, V26, P3904, DOI 10.1175/JCLI-D-12-00502.1
   Zilli MT, 2017, INT J CLIMATOL, V37, P2269, DOI 10.1002/joc.4840
   ,, 2007, Climate change 2007: Synthesis Report. Contribution of Working Group I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Summary for Policymakers
NR 89
TC 0
Z9 0
U1 0
U2 0
PU SPRINGER INT PUBL AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 2509-9426
EI 2509-9434
J9 EARTH SYST ENVIRON
JI Earth Syst. Environ.
PD 2024 DEC 28
PY 2024
DI 10.1007/s41748-024-00556-0
EA DEC 2024
PG 29
WC Environmental Sciences; Geosciences, Multidisciplinary; Meteorology &
   Atmospheric Sciences
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology; Geology; Meteorology & Atmospheric
   Sciences
GA Q6N9L
UT WOS:001385832400001
DA 2025-01-10
ER

PT J
AU Tran, PT
   Nguyen, TQ
   Huynh, CV
   Pham, TH
   Schinkel, U
AF Tran, Phuong Thi
   Nguyen, Tan Quang
   Huynh, Chuong Van
   Pham, Ty Huu
   Schinkel, Ulrike
TI A Nuanced Analysis on Livelihood Resilience of Vietnamese Upland
   Households: An Intersectional Lens of Ethnicity and Gender
SO SUSTAINABILITY
LA English
DT Article
DE climate change; gender; livelihood resilience; poverty alleviation;
   Vietnam
ID CLIMATE-CHANGE ADAPTATION; SOCIAL-RESPONSIBILITY; COMMUNITY RESILIENCE;
   STRATEGIES; PERCEPTIONS
AB "How to gauge the resilience of a household's livelihood?" and "who is resilience for?"; as the world's volatility increases, especially with unprecedented changes in climate, interest in these questions continues to rise. While many previous conventional attempts to measure resilience at the household level have largely employed the "objective" top-down framework relying mostly on a macro observed socioeconomic dataset, this present work seeks to estimate household resilience through an alternative bottom-up method, called the "subjective" resilience approach. With specific reference to the context of two ethnic Pa Co and Ta Oi minorities living in upland areas of Central Vietnam, this study aims to (1) measure household resilience to climate change by scoring five livelihood capitals, financial, human, social, physical, and natural, by applying the Household Livelihood Resilience (HLR) framework; and (2) provide an intersectional lens of ethnicity and gender in relation to the household's livelihood resilience. To achieve these goals, in addition to two focus group discussions and eleven in-depth interviews, an empirical survey of 236 households was conducted between September to December 2021. Our findings indicated that there are differences in observed livelihood resilience among the ethnic minority groups and, within that, between gender (sex, status) factors. Ethnic women and poor households have a lower resilience than other groups in society due to their lower human capital and limited access to public and financial resources, which are to some degree linked to the difference in the gender division of labor and the cultural norms of patriarch traditions. This study highlights the importance of considering gender and poverty in resilience-building efforts and offers insights for future programs in multi-ethnic developing countries such as Vietnam.
C1 [Tran, Phuong Thi] Univ Agr & Forestry, Hue Univ, Ctr Climate Change Study Cent Vietnam, Hue 49000, Vietnam.
   [Tran, Phuong Thi; Pham, Ty Huu] Univ Agr & Forestry, Hue Univ, Fac Land Resource & Agr Environm, Hue 49000, Vietnam.
   [Nguyen, Tan Quang; Huynh, Chuong Van] Hue Univ, Int Sch, Hue 49000, Vietnam.
   [Nguyen, Tan Quang] Okayama Univ, Grad Sch Environm & Life Sci, Okayama 7008530, Japan.
   [Schinkel, Ulrike] IZES gGmbH, Infrastructure & Municipal Dev, D-66115 Saarbrucken, Germany.
C3 Nong Lam University; Hue University; Hue University; Nong Lam
   University; Hue University; Okayama University
RP Huynh, CV (corresponding author), Hue Univ, Int Sch, Hue 49000, Vietnam.
EM huynhvanchuong@hueuni.edu.vn
RI Nguyen Quang, Tan/ISU-9629-2023; , Van Chuong Huynh/AAI-6900-2021; Ty,
   Pham/HPF-9391-2023
OI Nguyen Quang, Tan/0000-0003-2442-6359; Chuong, Huynh
   Van/0000-0003-1383-6491; Pham Huu, Ty/0000-0003-2385-2233
FU Hue University under the Core Research Program [NCM.DHH.2019.06]
FX The authors acknowledge the support of Hue University under the Core
   Research Program, Grant No. NCM.DHH.2019.06.
CR Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Ahmad MI, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12020586
   Alinovi L., 2010, P PROMOTING RESILIEN
   [Anonymous], 2022, NHANDAN NEWS
   Aregu L, 2016, AMBIO, V45, pS287, DOI 10.1007/s13280-016-0846-x
   Arora-Jonsson S, 2011, GLOBAL ENVIRON CHANG, V21, P744, DOI 10.1016/j.gloenvcha.2011.01.005
   Asrat P, 2018, ECOL PROCESS, V7, DOI 10.1186/s13717-018-0118-8
   Brown K, 2014, PROG HUM GEOG, V38, P107, DOI [10.1177/0309132513498837, 10.1177/0361684313496549]
   Carr ER, 2014, GEOGR COMPASS, V8, P182, DOI 10.1111/gec3.12121
   Huynh CV, 2020, HELIYON, V6, DOI 10.1016/j.heliyon.2020.e05656
   Huynh CV, 2020, APPL SCI-BASEL, V10, DOI 10.3390/app10155091
   Delisle S, 2016, ASIA PAC VIEWP, V57, P351, DOI 10.1111/apv.12131
   Denton F., 2002, Gender and Development, V10, P10, DOI 10.1080/13552070215903
   Dinh NC, 2021, INT J DISAST RISK RE, V61, DOI 10.1016/j.ijdrr.2021.102342
   Djoudi H, 2016, AMBIO, V45, pS248, DOI 10.1007/s13280-016-0825-2
   Duc KN, 2021, J CLEAN PROD, V317, DOI 10.1016/j.jclepro.2021.128399
   Gabriel AG, 2020, COGENT SOC SCI, V6, DOI 10.1080/23311886.2020.1720564
   Hoang HD, 2020, OCEAN COAST MANAGE, V196, DOI 10.1016/j.ocecoaman.2020.105302
   Ha VH, 2022, ASIA-PAC J REG SCI, V6, P899, DOI 10.1007/s41685-022-00244-9
   Hahn MB, 2009, GLOBAL ENVIRON CHANG, V19, P74, DOI 10.1016/j.gloenvcha.2008.11.002
   Vo HH, 2021, ASIA-PAC J REG SCI, V5, P327, DOI 10.1007/s41685-020-00181-5
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Jha CK, 2021, ENVIRON SUSTAIN IND, V10, DOI 10.1016/j.indic.2021.100112
   Jones L., 2015, MEASURINGSUBJECTIVE
   Klasen S, 2015, WORLD DEV, V71, P36, DOI 10.1016/j.worlddev.2013.11.003
   Kristjanson P, 2017, INT J AGR SUSTAIN, V15, P482, DOI 10.1080/14735903.2017.1336411
   Sen LTH, 2020, NJAS-WAGEN J LIFE SC, V92, DOI 10.1016/j.njas.2020.100324
   Lebel Louis., 2014, International Social Science Journal, V65, P147, DOI [10.1111/issj.12090, DOI 10.1111/ISSJ.12090]
   Mishra AK, 2017, INT J CLIM CHANG STR, V9, P501, DOI 10.1108/IJCCSM-01-2017-0014
   Mogomotsi PK, 2020, CLIMATIC CHANGE, V159, P441, DOI 10.1007/s10584-019-02645-w
   Mullins A, 2013, DISASTER PREV MANAG, V22, P119, DOI 10.1108/09653561311325271
   Nelson V., 2009, Gender and Development, V17, P81, DOI 10.1080/13552070802696946
   Nguyen CD, 2021, INT J DISAST RISK SC, V12, P250, DOI 10.1007/s13753-020-00326-2
   Nguyen MT, 2021, J FLOOD RISK MANAG, V14, DOI 10.1111/jfr3.12689
   Nielsen JO, 2010, GLOBAL ENVIRON CHANG, V20, P142, DOI 10.1016/j.gloenvcha.2009.10.002
   PCTTH, 2022, PEOPL COMM THUA THIE
   Phuong T.T., 2023, Environ. Chall, V10, P100666, DOI [10.1016/j.envc.2022.100666, DOI 10.1016/J.ENVC.2022.100666]
   Quandt A, 2018, WORLD DEV, V107, P253, DOI 10.1016/j.worlddev.2018.02.024
   Rocheleau Dianne., 1996, FEMINIST POLITICAL E
   Sam AS, 2017, NAT HAZARDS, V88, P1133, DOI 10.1007/s11069-017-2911-6
   Soetanto R, 2017, NAT HAZARDS, V86, P1105, DOI 10.1007/s11069-016-2732-z
   Sujakhu NM, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11102977
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Tan N.Q., 2022, SN Social Sciences, V2, P71, DOI [10.1007/s43545-022-00370-3, DOI 10.1007/S43545-022-00370-3]
   Tanner T, 2015, NAT CLIM CHANGE, V5, P23, DOI 10.1038/NCLIMATE2431
   Thompson-Hall M, 2016, AMBIO, V45, pS373, DOI 10.1007/s13280-016-0827-0
   Tran VT, 2022, J RURAL STUD, V92, P68, DOI 10.1016/j.jrurstud.2022.03.011
   Trendov N. M  ..., 2019, Digital Technologies in Agriculture and Rural Areas: Status Report
   United Nations, 2022, Provisional State of the Global Climate 2022
   Van Dijk TeunA., 1993, DISCOURSE SOC, V4, P249, DOI DOI 10.1177/0957926593004002006
   Tran VT, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13137106
   Walsh-Dilley M, 2016, ECOL SOC, V21, DOI 10.5751/ES-07981-210111
   World Health Organization, 2022, GEND HLTH
   Nguyen YTB, 2021, ENVIRON SCI POLICY, V123, P11, DOI 10.1016/j.envsci.2021.04.007
   Zeleke G, 2023, ENVIRON SUSTAIN IND, V17, DOI 10.1016/j.indic.2022.100220
NR 55
TC 8
Z9 8
U1 5
U2 17
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD FEB
PY 2023
VL 15
IS 4
AR 3510
DI 10.3390/su15043510
PG 19
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 9L4UK
UT WOS:000941544800001
OA gold
DA 2025-01-10
ER

PT J
AU Dzvene, AR
   Tesfuhuney, W
   Walker, S
   Ceronio, G
AF Dzvene, Admire R.
   Tesfuhuney, Weldermichael
   Walker, Sue
   Ceronio, Gert
TI Effects of intercropping sunn hemp into maize at different times and
   densities on productivity under rainwater harvesting technique
SO FRONTIERS IN SUSTAINABLE FOOD SYSTEMS
LA English
DT Article
DE maize grain yield; biomass; planting period; plant density; income
   equivalent ratio; net benefits; living mulch
ID COVER-CROP; WEED SUPPRESSION; USE EFFICIENCY; PLANTING DATE; SYSTEM;
   CONSERVATION; REGION; YIELD; SOIL; ESTABLISHMENT
AB Maize is a major food crop in Sub-Saharan Africa (SSA), and its productivity is affected by climate change-adaptive sustainable management practices. A 2-year field study (2019/20 and 2020/21 growing seasons) was carried out to evaluate the effect of sunn hemp (Crotalaria juncea L.) living mulch management on maize (Zea mays L.) production. Three sunn hemp planting periods were simultaneous with maize planting (P1), V15 maize growth stage (P2), and R1 maize growth stage (P3) and three densities 16.1 plants m(-2) (D1-low), 32.1 plants m(-2) (D2-medium), and 48.1 plants m(-2) (D3-high). The intercrop components were planted in a split-plot treatment arrangement as an additive series with three replications and laid out in a randomized complete block design under the in-field rainwater harvesting (IRWH) technique. The growing season conditions revealed significant differences in rainfall distribution. Therefore, the planting period had highly significant (p < 0.001) effects on sunn hemp biomass, with an LSD value of 610.2 kg ha(-1), showing that the highest was obtained in P2 (2636.7 kg ha(-1)) compared to P3 (811.3 kg ha(-1)). However, the P3 treatment resulted in maize grain yield penalty, with yields as follows: P3 (2775.2 kg ha(-1)), sole maize (3263.8 kg ha(-1)), P2 (3281.9 kg ha(-1)), and P1 (3287.8 kg ha(-1)). P2 yielded a significantly (p < 0.05) high-income equivalent ratio of 2.09, indicating a 109% advantage for increasing farmers' income by integrating sunn hemp under the no-till area of IRWH. P1 and P2 sunn hemp planting periods are viable options for smallholder farmers in summer rainfall regions to improve economic benefits.
C1 [Dzvene, Admire R.; Tesfuhuney, Weldermichael; Walker, Sue; Ceronio, Gert] Univ Free State, Dept Soil Crop & Climate Sci, Bloemfontein, South Africa.
   [Walker, Sue] Agr Res Council Nat Resources & Engn NRE, Pretoria, South Africa.
C3 University of the Free State
RP Dzvene, AR (corresponding author), Univ Free State, Dept Soil Crop & Climate Sci, Bloemfontein, South Africa.
EM dzvenea@gmail.com
RI Tesfuhuney, Weldemichael/AHC-1047-2022; Dzvene, Admire
   Rukudzo/JFK-6217-2023
OI Dzvene, Admire Rukudzo/0000-0003-0165-4180
FU Water Research Commission (WRC); National Research Fund (NRF); Food and
   Beverages Manufacturing Sector Education and Training Authority (FoodBev
   SETA)
FX The authors are grateful to Mr. Elias Yokwane, Department of Soil, Crop,
   and Climate Sciences, University of the Free State, Bloemfontein, for
   technical assistance during field trials. The Water Research Commission
   (WRC), the National Research Fund (NRF), and the Food and Beverages
   Manufacturing Sector Education and Training Authority (FoodBev SETA) are
   acknowledged.
CR Akanvou R, 2001, J AGRON CROP SCI, V187, P111, DOI 10.1046/j.1439-037X.2001.00503.x
   [Anonymous], 2006, World Soil Resources Reports 103, P145
   Ashworth AJ, 2015, AGRON J, V107, P2419, DOI [10.2134/agronj15.0033, 10.2134/agronj14.0639]
   Baligar VC, 2007, J PLANT NUTR, V30, P1287, DOI 10.1080/01904160701554997
   Balkcom KS, 2005, AGRON J, V97, P26, DOI 10.2134/agronj2005.0026
   Baraibar B, 2018, WEED SCI, V66, P121, DOI 10.1017/wsc.2017.59
   Belfry KD, 2016, CROP SCI, V56, P1245, DOI 10.2135/cropsci2015.06.0351
   Botha J. J., 2015, WATER RESOURCES RURA, V6, P66, DOI [10.1016/j.wrr.2015.04.001, DOI 10.1016/J.WRR.2015.04.001]
   Botha J.J., 2003, 1176103 WAT RES COMM
   Botha J.J, 2006, THESIS U FREE STATE
   Cai Z, 2019, AGRICULTURE-BASEL, V9, DOI 10.3390/agriculture9040083
   Chimungu J., 2009, THESIS U FREE STATE
   Connolly J, 2001, AGR ECOSYST ENVIRON, V87, P191, DOI 10.1016/S0167-8809(01)00278-X
   Cook CG, 1998, IND CROP PROD, V8, P89, DOI 10.1016/S0926-6690(97)10013-9
   Curran WS, 2018, AGRON J, V110, P435, DOI 10.2134/agronj2017.07.0395
   De Morais DB, 2020, COMMUN SOIL SCI PLAN, V51, P491, DOI 10.1080/00103624.2020.1718688
   Devasenapathy P., 2008, EFFICIENCY INDICES A, P162
   Dzvene AR, 2022, AFR J SCI TECHNOL IN, V14, P1458, DOI 10.1080/20421338.2021.1960542
   Fertilizer Society of South Africa (FSSA), 2007, FSSA Fertilizer Handbook
   Food Agriculture Organization of the United Nations (FAOSTAT), 2018, NAT YIELD STAT
   Hensley M, 2011, WATER SA, V37, P771, DOI 10.4314/wsa.v37i5.14
   Hensley M., 2000, 878100 WAT RES COMM
   Jeranyama P, 2000, AGRON J, V92, P239, DOI 10.1007/s100870050028
   Kasirajan S, 2021, J INTEGR AGR, V20, P2395, DOI 10.1016/S2095-3119(20)63357-3
   Lawson A, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0129597
   Liu GY, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-24864-4
   MEAD R, 1981, J ROY STAT SOC A STA, V144, P462, DOI 10.2307/2981827
   Mhlanga B, 2016, NJAS-WAGEN J LIFE SC, V78, P93, DOI 10.1016/j.njas.2016.05.001
   Midega CAO, 2014, FIELD CROP RES, V155, P144, DOI 10.1016/j.fcr.2013.09.012
   de Oliveira Miranda Neyton, 2020, Agron. colomb., V38, P148, DOI 10.15446/agron.colomb.v38n1.78957
   Mirsky SB, 2011, WEED SCI, V59, P380, DOI 10.1614/WS-D-10-00101.1
   Mohammadi G. R., 2010, Agricultural Sciences, V1, P148, DOI 10.4236/as.2010.13018
   Morris JB, 2015, J ENVIRON SCI HEAL B, V50, P614, DOI 10.1080/03601234.2015.1028855
   MOSELEY WG, 1994, AGROFOREST SYST, V26, P47, DOI 10.1007/BF00705151
   Mosjidis JA, 2011, CROP PROT, V30, P70, DOI 10.1016/j.cropro.2010.08.021
   Murungu F. S., 2011, South African Journal of Plant and Soil, V28, P147
   Mzezewa J, 2011, AGR WATER MANAGE, V98, P1641, DOI 10.1016/j.agwat.2011.06.003
   Njoroge R, 2018, AGRONOMY-BASEL, V8, DOI 10.3390/agronomy8040049
   Nyakudya IW, 2011, AGR WATER MANAGE, V98, P1649, DOI 10.1016/j.agwat.2011.06.002
   Oweis TY, 1996, WATER RESOUR MANAG, V10, P21, DOI 10.1007/BF00698809
   Parenti A, 2021, BIOMASS BIOENERG, V146, DOI 10.1016/j.biombioe.2021.105975
   Ponce C, 2020, WORLD DEV, V127, DOI 10.1016/j.worlddev.2019.104740
   Qi A, 1999, EXP AGR, V35, P327, DOI 10.1017/S0014479799003099
   Ritchie S.W., 1993, 48 IOW STAT U SCI TE
   Ruffatti MD, 2019, AGR WATER MANAGE, V211, P81, DOI 10.1016/j.agwat.2018.09.016
   Salem HM, 2015, SOIL TILL RES, V151, P50, DOI 10.1016/j.still.2015.02.009
   Schomberg HH, 2014, AGRON J, V106, P1041, DOI 10.2134/agronj13.0434
   Sharma AR, 2010, NUTR CYCL AGROECOSYS, V87, P187, DOI 10.1007/s10705-009-9327-y
   Singh RJ, 2015, INT J PLANT PROD, V9, P523
   Soil Classification Working Group, 2018, Soil Classification. A Natural and Anthropogenic System for South Africa
   TABOR JA, 1995, J ARID ENVIRON, V30, P83, DOI 10.1016/S0140-1963(95)80041-7
   Tesfuhuney WA, 2015, AGR WATER MANAGE, V152, P7, DOI 10.1016/j.agwat.2014.11.018
   van Ittersum MK, 2016, P NATL ACAD SCI USA, V113, P14964, DOI 10.1073/pnas.1610359113
   Wang HL, 2018, AGR WATER MANAGE, V207, P59, DOI 10.1016/j.agwat.2018.04.033
   Wilson ML, 2013, AGRON J, V105, P1868, DOI 10.2134/agronj2013.0133
   Zougmoré R, 2003, SOIL TILL RES, V71, P143, DOI 10.1016/S0167-1987(03)00050-3
NR 56
TC 5
Z9 5
U1 1
U2 9
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2571-581X
J9 FRONT SUSTAIN FOOD S
JI Front. Sustain. Food Syst.
PD OCT 4
PY 2022
VL 6
AR 1009443
DI 10.3389/fsufs.2022.1009443
PG 17
WC Food Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Food Science & Technology
GA 5N7MV
UT WOS:000871973500001
OA gold
DA 2025-01-10
ER

PT J
AU Rebelo, AJ
   Holden, PB
   Hallowes, J
   Eady, B
   Cullis, JDS
   Esler, KJ
   New, MG
AF Rebelo, Alanna J.
   Holden, Petra B.
   Hallowes, Jason
   Eady, Bruce
   Cullis, James D. S.
   Esler, Karen J.
   New, Mark G.
TI The hydrological impacts of restoration: A modelling study of alien tree
   clearing in four mountain catchments in South Africa
SO JOURNAL OF HYDROLOGY
LA English
DT Article
DE Nature-based solutions; Ecosystem services; Ecohydrology; MIKE-SHE;
   Restoration; Biodiversity hotspots
ID ECOLOGICAL INFRASTRUCTURE INVESTMENT; ECOSYSTEM SERVICES; WATER-USE;
   COVER CHANGE; CO-BENEFITS; VEGETATION; FORESTS; FLOWS; CAPE;
   PRIORITIZATION
AB Ecological restoration efforts at scale have been shown to play an important role in reducing human impact on the environment, improving climate change adaptation and halting extinctions globally. Upscaling restoration efforts requires funding, and therefore evidence of the benefits of restoration is needed. This study aims to contribute towards addressing these gaps by: (1) bolstering the evidence base of the water-related impacts of investment into ecological restoration by improving the methods of predicting the streamflow impacts of alien tree clearing; and (2) exploring the potential size of the variability in catchment responses at a fine-scale (60x60 m) in one particular region by comparing four different neighbouring catchments. We model the im-pacts on streamflow in four strategic water providing catchments using the fully-distributed MIKE-SHE modelling tool. We find that the benefits of clearing mature infestations of alien trees, such as pines, from naturally tree-less ecosystems can increase available surface water resources by 15.1 to 29.5%. Clearing riparian invasions is predicted to have a 1.7 times greater impact compared to terrestrial (non-riparian) invasions. The largest modelled impact of restoration on streamflow is on the mid to low flows, and this impact is greater in dry years relative to wet years. The findings are novel in that they shed light on the types of spatial uncertainties that can be expected in modelled gains, with implications for generalisation. These findings are important for leveraging investment to upscale restoration efforts in water scarce regions, as they suggest improved water security during the dry season and droughts. Upscaling efforts is essential if the degradation of ecosystems globally is to be prevented, halted and reversed, as proposed by the United Nations Decade on Ecosystem Restoration.
C1 [Rebelo, Alanna J.; Esler, Karen J.] Stellenbosch Univ, Conservat Ecol & Entomol, Stellenbosch, South Africa.
   [Rebelo, Alanna J.] Agr Res Council, Inst Soil Climate & Water Nat Resources & Engn, Pretoria, South Africa.
   [Holden, Petra B.; Cullis, James D. S.; New, Mark G.] Univ Cape Town, African Climate & Dev Initiat, Cape Town, South Africa.
   [Hallowes, Jason; Eady, Bruce] Ekosource, Johannesburg, South Africa.
   [Cullis, James D. S.] Zutari Pty Ltd, Cape Town, South Africa.
   [Esler, Karen J.] Stellenbosch Univ, Ctr Invas Biol, Stellenbosch, South Africa.
C3 Stellenbosch University; Agricultural Research Council of South Africa;
   University of Cape Town; Stellenbosch University
RP Rebelo, AJ (corresponding author), Stellenbosch Univ, Conservat Ecol & Entomol, Stellenbosch, South Africa.; Rebelo, AJ (corresponding author), Agr Res Council, Inst Soil Climate & Water Nat Resources & Engn, Pretoria, South Africa.
EM RebeloA@arc.agric.za
RI Rebelo, Alanna/CAE-9912-2022; Holden, Petra/AAQ-3951-2021; New,
   Mark/A-7684-2008; Esler, Karen/A-1640-2008
OI Rebelo, Alanna/0000-0002-7544-9895; New, Mark/0000-0001-6082-8879;
   Holden, Petra/0000-0002-3047-1407; Esler, Karen/0000-0001-6510-727X
FU Danish Ministry of Foreign Affairs (DANIDA); SEBEI (Socio-Economic
   Benefits of Investing in Ecological Infrastructure) Project [17- M07-KU]
FX We acknowledge the Danish Ministry of Foreign Affairs (DANIDA) for
   funding the research undertaken under the SEBEI (Socio-Economic Benefits
   of Investing in Ecological Infrastructure) Project, grant no: 17-
   M07-KU. The authors acknowledge the stakeholders of the Berg and Breede
   Catchments for their time engaging in the SEBEI project workshops
   between 2018 and 2020, and for their input into the development of the
   ecological infrastructure scenarios. We particularly thank Mark Heistein
   and the Cape Winelands Biosphere Reserve for support with drone footage
   and accommodation during fieldwork, as well as Cape Nature for providing
   permits. We acknowledge the Agricultural Research Council, The South
   African Weather Service, the South African Environment Observation
   Network, Umvoto, City of Cape Town, and A.J. Rebelo et al. Zutari for
   data. The authors also wish to thank the Danish Hydraulic Institute
   (DHI) for providing the study with licenses for the use of MIKE- SHE for
   this project, and also some support from Douglas Graham (DHI) with model
   conceptualisation and parameterization. We thank the three anonymous
   reviewers for very useful inputs to improve the manuscript. The authors
   have no conflicts of interest to declare.
CR Abhilash PC, 2021, LAND-BASEL, V10, DOI 10.3390/land10020201
   Acharya BS, 2018, WATER-SUI, V10, DOI 10.3390/w10101466
   Alaghmand S, 2014, ENVIRON PROCESS, V1, P59, DOI 10.1007/s40710-014-0003-0
   Allen R.G., 1998, FAO Irrigation and Drainage Paper
   [Anonymous], 1991, Soil classification-A taxonomic system for South Africa
   [Anonymous], 2017, MIKE SHE, V2
   ARC, 2016, MAP CAT AGR RES COUN
   ASF DAAC, 2015, ALOS PALSAR Radiometric Terrain Corrected high resolution, DOI [10.5067/JBYK3J6HFSVF, DOI 10.5067/JBYK3J6HFSVF]
   Beck MW, 2019, Ecosystem-Based Adaptation and Insurance: Success, Challenges and Opportunities
   Blöschl G, 2019, HYDROLOG SCI J, V64, P1141, DOI 10.1080/02626667.2019.1620507
   BLOSCHL G, 1995, HYDROL PROCESS, V9, P251, DOI 10.1002/hyp.3360090305
   Bloschl G., 2006, ENCY HYDROLOGICAL SC, DOI [10.1002/0470848944.hsa140, DOI 10.1002/0470848944.HSA140]
   Bongaarts J, 2019, POPUL DEV REV, V45, P680, DOI 10.1111/padr.12283
   Bonnesoeur V, 2019, FOREST ECOL MANAG, V433, P569, DOI 10.1016/j.foreco.2018.11.033
   Brown AE, 2005, J HYDROL, V310, P28, DOI 10.1016/j.jhydrol.2004.12.010
   Calder IR, 1998, TREE PHYSIOL, V18, P625
   Chausson A, 2020, GLOBAL CHANGE BIOL, V26, P6134, DOI 10.1111/gcb.15310
   DEA & SANBI., 2016, STRATEGIC FRAMEWORK
   DHI, 2017, MIKE SHE, V1
   DHI, 2017, AUTOCAL AUT TOOL US
   Diamond RE, 2019, HYDROGEOL J, V27, P2993, DOI 10.1007/s10040-019-02045-5
   Dimson M, 2020, FOREST ECOL MANAG, V467, DOI 10.1016/j.foreco.2020.118150
   Dominati EJ, 2013, ECOSYSTEM SERVICES IN NEW ZEALAND: CONDITIONS AND TRENDS, P132
   DWAF, 2008, ASS WAT AV BERG CATC, V4
   DWAF, 2007, 2 DWAF RAINF DAT PRE
   Dye P, 2004, S AFR J SCI, V100, P40
   Dzikiti S, 2016, FOREST ECOL MANAG, V361, P69, DOI 10.1016/j.foreco.2015.11.009
   Dzikiti S, 2014, WATER SA, V40, P189, DOI 10.4314/wsa.v40i2.1
   Everson C. S., 2014, 2022113 WAT RES COMM
   Fenouillas P., [No title captured]
   Garcia-Chevesich P.A., 2017, Forest Management and the Impact on Water Resources: B A Review of 13 Countries. United Nations Educational, Scientific, P103
   Gee G.W., 2002, METHODS SOIL ANAL, P383
   Goetz J., 2020, PACKAGE FASSTR ANAL, P1
   Graham DN, 2006, WATERSHED MODELS, P245
   Halme P, 2013, BIOL CONSERV, V167, P248, DOI 10.1016/j.biocon.2013.08.029
   Hare ML, 2020, PASTORALISM, V10, DOI 10.1186/s13570-020-00171-4
   Holden PB, 2022, COMMUN EARTH ENVIRON, V3, DOI 10.1038/s43247-022-00379-9
   Holden PB, 2021, REMOTE SENS APPL, V21, DOI 10.1016/j.rsase.2020.100448
   Holmes Patricia M., 2020, Transactions of the Royal Society of South Africa, V75, P111, DOI 10.1080/0035919X.2020.1781291
   Honda EA, 2016, PHILOS T R SOC B, V371, DOI 10.1098/rstb.2015.0313
   Hughes CJ, 2018, WATER SA, V44, P577, DOI 10.4314/wsa.v44i4.07
   Hughes CJ, 2018, WATER SA, V44, P590, DOI 10.4314/wsa.v44i4.08
   Jackson RB, 2005, SCIENCE, V310, P1944, DOI 10.1126/science.1119282
   Jiang DJ, 2019, WATER-SUI, V11, DOI 10.3390/w11081615
   KRISTENSEN K J, 1975, Nordic Hydrology, V6, P170
   Kumar P, 2021, SCI TOTAL ENVIRON, V784, DOI 10.1016/j.scitotenv.2021.147058
   Lasher C., 2011, THESIS U W CAPE S AF
   LaVanchy GT, 2019, HYDROGEOL J, V27, pCP5, DOI 10.1007/s10040-019-01979-0
   Le Maitre D.C., 2018, 743118 WAT RES COMM
   Le Maitre D.C., 2018, 754218 WRC TT
   Le Maitre DC, 2016, WATER SA, V42, P659, DOI 10.4314/wsa.v42i4.17
   Le Maitre DC, 2014, LAND USE POLICY, V36, P171, DOI 10.1016/j.landusepol.2013.07.007
   Lian JJ, 2020, CATENA, V194, DOI 10.1016/j.catena.2020.104705
   Lin L., 2007, Hydraulic Properties of the Table Mountain Group (TMG) Aquifer
   Lorentz S., 1991, 224 SOIL SCI SOC AM
   Lorentz S., 2001, K5744 WAT RES COMM
   Madlala T, 2019, INT J ENVIRON SCI TE, V16, P2215, DOI 10.1007/s13762-018-1819-3
   Mander M, 2017, ECOSYST SERV, V27, P261, DOI 10.1016/j.ecoser.2017.03.003
   Meijninger WML, 2014, WATER SA, V40, P95, DOI 10.4314/wsa.v40i1.12
   Midgley GF, 2003, BIOL CONSERV, V112, P87, DOI 10.1016/S0006-3207(02)00414-7
   MIDGLEY JJ, 1994, WATER SA, V20, P151
   Moncrieff GR, 2021, HYDROL PROCESS, V35, DOI 10.1002/hyp.14161
   Moriasi DN, 2015, T ASABE, V58, P1763
   Nel JL, 2017, ECOSYST SERV, V28, P251, DOI 10.1016/j.ecoser.2017.07.013
   Ntshotsho P, 2011, RESTOR ECOL, V19, P578, DOI 10.1111/j.1526-100X.2010.00753.x
   Nuñez MA, 2017, BIOL INVASIONS, V19, P3099, DOI 10.1007/s10530-017-1483-4
   Oral HV, 2020, BLUE-GREEN SYST, V2, P112, DOI 10.2166/bgs.2020.932
   Pagano A, 2019, SCI TOTAL ENVIRON, V690, P543, DOI 10.1016/j.scitotenv.2019.07.059
   Pietersen K., 2002, TT15801 WAT RES COMM, P4
   Pringle C, 2015, An investment plan for securing ecological infrastructure to enhance water security in the uMngeni River catchment
   Rai PK, 2020, ECOL INDIC, V111, DOI 10.1016/j.ecolind.2019.106020
   Ratcliffe G., 2007, BERG RIVER BASELINE, V1
   Raymond CM, 2017, ENVIRON SCI POLICY, V77, P15, DOI 10.1016/j.envsci.2017.07.008
   Rebelo AJ, 2020, WATER SA, V46, P558, DOI 10.17159/wsa/2020.v46.i4.9069
   Rebelo A. J., 2020, DATASET MAPPING LAND
   Rebelo AJ, 2021, ROY SOC OPEN SCI, V8, DOI 10.1098/rsos.201402
   Rebelo AJ, 2015, RESTOR ECOL, V23, P829, DOI 10.1111/rec.12251
   Schulze R. E., 1995, HYDROLOGY AGROHYDROL
   Scott DF, 1997, WATER SA, V23, P135
   SCOTT DF, 1993, J HYDROL, V150, P409, DOI 10.1016/0022-1694(93)90119-T
   Seddon N, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0120
   Skowno A, 2019, NATL BIODIVERSITY AS, DOI DOI 10.1017/CBO9781107415324.004
   Smit GN, 2004, J ENVIRON MANAGE, V71, P179, DOI 10.1016/j.jenvman.2004.02.005
   Smithers J., 2004, ACRU AGROHYDROLOGICA
   Stafford W, 2017, ECOSYST SERV, V27, P193, DOI 10.1016/j.ecoser.2016.11.021
   Stevens N, 2016, PHILOS T R SOC B, V371, DOI 10.1098/rstb.2015.0437
   Trinomics IUCN, 2019, APPR FIN NAT BAS SOL
   UNEP, The United Nations Decade on Ecosystem Restoration Strategy
   Viviroli D, 2007, WATER RESOUR RES, V43, DOI 10.1029/2006WR005653
   Warburton ML, 2012, J HYDROL, V414, P118, DOI 10.1016/j.jhydrol.2011.10.028
   Zambrano-Bigiarini M., 2020, TIME SERIES MANAGEME, P1
NR 91
TC 8
Z9 8
U1 6
U2 29
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0022-1694
EI 1879-2707
J9 J HYDROL
JI J. Hydrol.
PD JUL
PY 2022
VL 610
AR 127771
DI 10.1016/j.jhydrol.2022.127771
EA MAY 2022
PG 24
WC Engineering, Civil; Geosciences, Multidisciplinary; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Geology; Water Resources
GA 1T2YA
UT WOS:000804599500004
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Watson, A
   Miller, J
   Kunne, A
   Kralisch, S
AF Watson, Andrew
   Miller, Jodie
   Kunne, Annika
   Kralisch, Sven
TI Using soil-moisture drought indices to evaluate key indicators of
   agricultural drought in semi-arid Mediterranean Southern Africa
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Drought; Hydrological change; Rainfall/runoff modelling; Soil Moisture
   Deficit Index
ID CLIMATE-CHANGE; WEST-COAST; MODEL; MIGRATION; IMPACT
AB Droughts are natural disasters that globally affect large numbers of people each year. While different forms of drought exist, their severity and extent are dependent on critical points of onset. Understanding these onsets is crucial for water, food and energy security, as well as to develop climate change adaptation strategies. This study used the JAMS/J2000 hydrological model to detect agricultural drought using the Soil Moisture Deficit Index (SMDI). The Berg River catchment in Mediterranean South Africa was used as the pilot study area, which experienced a severe drought between 2015 and 2018 and where meteorological drought progressed into agricultural drought that resulted in significant crop reductions and job losses within the agricultural sector. To combat the effects of meteorological shortfalls, water resource management opted to curb agricultural reservoir releases, forcing farmers to rely on groundwater. Modelling results illustrated the importance of detecting headwater stress within the catchment, where in 2015/2017 headwater areas were affected for the first time over the 35-year simulation. Furthermore, regional changes to the groundwater system, during which severe to extremely severe SMDI values (-3 to -4) were simulated, is postulated to be caused by wide-spread groundwater overuse resulting in a 47% reduction in winter (JJA) anda 68% reduction in spring (SON) streamflow. Immediate streamflow reductions were observed, illustrating the low resilience of these systems to meteorological and agricultural droughts, as well as the impacts of water use behavioural changes. By using SMDI in conjunction with a well constrained hydrological model, crucial drought onset triggers can be detected as well as tipping points regarding water use behaviour. As climate change drives an increase in the occurrence of meteorological droughts in many parts of the world, understanding the advance of severe long-term effects is important for the development of effective adaption strategies to promote water, food and energy security.
C1 [Watson, Andrew] Stellenbosch Univ, Water Inst, Private Bag X1, ZA-7602 Matieland, South Africa.
   [Miller, Jodie] Stellenbosch Univ, Dept Earth Sci, Private Bag X1, ZA-7602 Matieland, South Africa.
   [Kunne, Annika; Kralisch, Sven] Friedrich Schiller Univ Jena, Inst Geog, Loebdergraben 32, D-07743 Jena, Germany.
C3 Stellenbosch University; Stellenbosch University; Friedrich Schiller
   University of Jena
RP Watson, A (corresponding author), Stellenbosch Univ, Water Inst, Private Bag X1, ZA-7602 Matieland, South Africa.
EM awatson@sun.ac.za
RI Watson, Andrew/ABE-3580-2020; Künne, Annika/AEN-4250-2022
OI Kunne, Annika/0000-0002-4925-0882; Watson, Andrew/0000-0001-5998-6933
FU Division for Research Development (DRD) of Stellenbosch University; DAAD
   (German Academic Exchange Service - BMBF (The FederalMinistry of
   Education and Research)); National Research Foundation of South Africa
   [118830]
FX The authors would like to thank the Division for Research Development
   (DRD) of Stellenbosch University (Stellenbosch University Subcommittee B
   postdoctoral grant administered through the DRD) and DAAD (German
   Academic Exchange Service: sponsored by BMBF (The FederalMinistry of
   Education and Research)) for funding support. Project funding was
   provided by the National Research Foundation of South Africa Grant
   Number 118830. We would like to thank Mr. Jeremy Naidoo from DWS for the
   gauging data retrieval and support with DWSmonitoring networks. The
   authors would like to acknowledge Dr. Reynold Chow, Ms. Ritshidze
   Nenweli with supporting groundwater information, Dr. Peter Moores-Pitt
   with economic additions and Dr. Willem de Clercq for access to soil
   moisture data. Images of the local drought (graphical abstract) were
   provided from Brian Dyason, Britt Turner and Francois Wust. Furthermore,
   the authors would like to thank two anonymous reviewers for their
   recommendations and comments. The publisher is fully responsible for the
   content.
CR Abiodun BJ, 2017, CLIMATIC CHANGE, V143, P399, DOI 10.1007/s10584-017-2001-5
   Acocks J., 1988, VELD TYPES S AFRICA, V3rd, P57
   Adaawen S, 2019, CURR DIR WATER SCARC, V2, P15, DOI 10.1016/B978-0-12-814820-4.00002-X
   Aldunce P, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9112053
   Allen R.G., 1998, FAO Irrigation and Drainage Paper
   Amer KH, 2004, AGRON J, V96, P978, DOI 10.2134/agronj2004.0978
   [Anonymous], 2010, J HYDROL, DOI [10.1016/j.jhydrol.2010.07.012, DOI 10.1016/J.JHYDROL.2010.07.012]
   [Anonymous], 2012, Harmonized world soil database
   [Anonymous], 1990, Physical and Chemical Hydrogeology
   Archer E, 2019, CLIM RISK MANAG, V25, DOI 10.1016/j.crm.2019.100188
   Archer Emma, 2018, Biodiversity Ecol, V6, P14, DOI 10.7809/b-e.00296
   Boyle DP, 2000, WATER RESOUR RES, V36, P3663, DOI 10.1029/2000WR900207
   Bugan R.D.H, 2014, THESIS STELLENBOSCH
   CCT, 2018, CIT CAP TOWN WAT OUT
   Claassen J, 2015, FARMERS WEEKLY, V2015, P50
   Conrad J, 2004, WATER SA, V30, P623
   Crain J, 1998, MODELLING EVAPORATIO
   Deb K, 2002, IEEE T EVOLUT COMPUT, V6, P182, DOI 10.1109/4235.996017
   Deb P, 2020, HYDROLOG SCI J, V65, P1667, DOI 10.1080/02626667.2020.1754420
   DWS, 2018, DEP WAT SAN
   Fink M., 2007, Advances in Geosciences, V11, P123, DOI [10.5194/adgeo-11-123-2007, DOI 10.5194/ADGEO-11-123-2007]
   Flörke M, 2018, NAT SUSTAIN, V1, P51, DOI 10.1038/s41893-017-0006-8
   FLUGEL WA, 1995, ENVIRON INT, V21, P679, DOI 10.1016/0160-4120(95)00073-T
   Fowler K, 2020, WATER RESOUR RES, V56, DOI 10.1029/2019WR025286
   Frankel Jeremy, 2019, Renewable Resources Journal, V33, P14
   Gibson AJ, 2020, HYDROL EARTH SYST SC, V24, P1985, DOI 10.5194/hess-24-1985-2020
   Gresse P., 1997, GEOLOGICAL MAP 3319
   Gupta HV, 2009, J HYDROL, V377, P80, DOI 10.1016/j.jhydrol.2009.08.003
   Hollinger S.E., 1993, Preprints, Eighth Conf. on Applied Climatology. Anaheim, CA, P187
   Howitt R.E., 2014, EC ANAL 2014 DROUGHT
   Johnson P.A, 1983, NATURAL DISTURBED S
   Kiem AS, 2013, GLOBAL ENVIRON CHANG, V23, P1307, DOI 10.1016/j.gloenvcha.2013.06.003
   Kralisch S, 2006, Proceedings of the iEMSs 3rd biennial meeting, P6
   Krause P, 2002, PHYS CHEM EARTH, V27, P663, DOI 10.1016/S1474-7065(02)00051-7
   Krause P., 2001, PREJUSER37462
   Krause P, 2005, MODSIM 2005: INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION: ADVANCES AND APPLICATIONS FOR MANAGEMENT AND DECISION MAKING, P676
   Kundzewicz ZW, 2018, ENVIRON SCI POLICY, V79, P1, DOI 10.1016/j.envsci.2017.10.008
   Legates DR, 1999, WATER RESOUR RES, V35, P233, DOI 10.1029/1998WR900018
   Lynch S., 2004, Report No. 1156/1/04
   Mbiriri M, 2018, ADV METEOROL, V2018, DOI 10.1155/2018/5206151
   MCKEE TB, 1993, P 8 C APPL CLIM AN C
   MCKEE TB, 1995, NINTH CONFERENCE ON APPLIED CLIMATOLOGY, P233
   Moriasi DN, 2007, T ASABE, V50, P885, DOI 10.13031/2013.23153
   Mucina Ladislav, 2006, V19, P2
   Munitz S, 2017, AUST J GRAPE WINE R, V23, P87, DOI 10.1111/ajgw.12241
   Narasimhan B, 2005, AGR FOREST METEOROL, V133, P69, DOI 10.1016/j.agrformet.2005.07.012
   Nash JE., 1970, Journal of Hydrology, V10, P282, DOI [DOI 10.1016/0022-1694(70)90255-6, 10.1016/0022-1694(70)90255-6]
   Nepal S, 2021, HYDROL EARTH SYST SC, V25, P1761, DOI 10.5194/hess-25-1761-2021
   Neumann K, 2015, APPL GEOGR, V56, P116, DOI 10.1016/j.apgeog.2014.11.021
   NOA, 2016, GLOB SURF SUMM DAY G
   Patterson B., 2015, E E NEWS
   Pfennig B., 2009, New approaches to hydrological prediction in data-sparse regions. Proceedings of Symposium HS.2 at the Joint Convention of The International Association of Hydrological Sciences (IAHS) and The International Association of Hydrogeologists (IAH) held in Hyderabad, India, 6-12 September 2009, P37
   Pienaar L, 2018, Drought policy brief Western Cape agriculture
   Sapkota M, 2016, WATER-SUI, V8, DOI 10.3390/w8010004
   Schwartze C., 2008, Geoinformatics FCE CTU 2008. Workshop Proceedings, V3, P67, DOI DOI 10.14311/GI.3.6
   Seager R., 2014, Causes and predictability of the 2011-14 California drought: assessment report, DOI DOI 10.7289/V58K771F
   Simunek J., 2006, The HYDRUS software package for simulating the two-and three-dimensional movement of water, heat, and multiple solutes in variably-saturated media
   SRK, 2009, PREL ASS IMP PROP RI
   Tankard A.J., 2012, CRUSTAL EVOLUTION SO
   Theron J.N., 1990, Geological map 3318 Cape Town 1:250,000 scale
   Trenberth KE, 2014, NAT CLIM CHANGE, V4, P17, DOI 10.1038/NCLIMATE2067
   Treumer L., 2016, THESIS FRIEDRICH SCH
   TURPIE JK, 1995, BIOL CONSERV, V74, P175, DOI 10.1016/0006-3207(95)00028-3
   Van J.L.Z, 1984, INTERRELATIONSHIP SO
   Vicente-Serrano SM, 2010, J CLIMATE, V23, P1696, DOI 10.1175/2009JCLI2909.1
   Visser H., 1973, GEOLOGICAL MAP 3218
   Watson A, 2021, J HYDROL, V601, DOI 10.1016/j.jhydrol.2021.126650
   Watson A, 2020, J HYDROL, V590, DOI 10.1016/j.jhydrol.2020.125280
   Watson A, 2019, HYDROL EARTH SYST SC, V23, P2679, DOI 10.5194/hess-23-2679-2019
   Watson A, 2018, J HYDROL, V558, P238, DOI 10.1016/j.jhydrol.2018.01.028
   Wilks D.S., 2011, Statistical methods in the atmospheric sciences, V3rd, P519, DOI DOI 10.1016/B978-0-12-385022-5.00012-9
NR 71
TC 27
Z9 27
U1 6
U2 50
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD MAR 15
PY 2022
VL 812
AR 152464
DI 10.1016/j.scitotenv.2021.152464
EA DEC 2021
PG 16
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA YJ4LP
UT WOS:000744505200012
PM 34942252
DA 2025-01-10
ER

PT J
AU Markphol, A
   Kittitornkool, J
   Armitage, D
   Chotikarn, P
AF Markphol, Adirake
   Kittitornkool, Jawanit
   Armitage, Derek
   Chotikarn, Ponlachart
TI An integrative approach to planning for community-based adaptation to
   sea-level rise in Thailand
SO OCEAN & COASTAL MANAGEMENT
LA English
DT Article
DE Adaptation; Climate change; Knowledge co-production; Sea-level rise;
   Transdisciplinary approaches
ID COASTAL VULNERABILITY ASSESSMENT; SOCIAL-ECOLOGICAL RESILIENCE;
   CLIMATE-CHANGE ADAPTATION; TRANSDISCIPLINARY RESEARCH; KNOWLEDGE
   COPRODUCTION; ADAPTIVE CAPACITY; FRAMEWORK; SUSTAINABILITY; MANAGEMENT;
   PATHWAYS
AB This paper outlines an integrative process for community-based adaptation plans to sea-level rise (SLR) effects in Kohklang Sub-district, Thailand. Three objectives guide this research: (1) to identify flood prone areas and develop a coastal vulnerability index (CVI) (e.g., to estimate ecosystem service impacts and economic loss in flood prone areas); (2) to co-develop risk profiles and social vulnerability assessment; and (3) to synthesize assessment outcomes and generate corresponding adaptation plans and recommendations. A knowledge coproduction process was used to link participatory action research (PAR) on social conditions and changes with technical assessments of sea-level rise simulations at 0.5 and 1 m to identify flood prone areas and develop the CVI. Additional data collection and analyses methods include a review of literature and synthesis of expert opinion (n = 5) regarding SLR effects on estimated losses in ecosystem services and community livelihoods, semistructured interviews (n = 50) and focus group discussions (n = 17 people). We find that a co-production process of natural and social science, together with local knowledge, provides a holistic and integrative identification of impacts of sea level rise and community-based adaptation plans and policy. Initial results were synthesized and then presented to multiple stakeholders in a Kohklang community workshop to further clarify findings and confirm insights. This research process has highlighted the significance of transdisciplinary and participatory approaches to developing household- and community-level policy and plans for adaptation to sea level rise. Outcomes of the research include practical recommendations to address vulnerability concerns, as well as a draft adaptation plan for inclusion in the strategy of the sub-district administrative authority.
C1 [Markphol, Adirake; Kittitornkool, Jawanit; Chotikarn, Ponlachart] Prince Songkla Univ, Fac Environm Management, Marine & Coastal Resources Inst, 15 Karnjanavanit Rd, Hat Yai 90110, Songkhla, Thailand.
   [Markphol, Adirake; Kittitornkool, Jawanit; Chotikarn, Ponlachart] Prince Songkla Univ, Fac Environm Management, 15 Karnjanavanit Rd, Hat Yai 90110, Songkhla, Thailand.
   [Markphol, Adirake; Kittitornkool, Jawanit; Chotikarn, Ponlachart] Prince Songkla Univ, Coastal Oceanog & Climate Change Res Ctr, 15 Karnjanavanit Rd, Hat Yai 90110, Songkhla, Thailand.
   [Armitage, Derek] Univ Waterloo, Sch Environm Resources & Sustainabil, 200 Univ Ave West, Waterloo, ON N2L 3G1, Canada.
C3 Prince of Songkla University; Prince of Songkla University; Prince of
   Songkla University; University of Waterloo
RP Kittitornkool, J (corresponding author), Prince Songkla Univ, Fac Environm Management, Marine & Coastal Resources Inst, 15 Karnjanavanit Rd, Hat Yai 90110, Songkhla, Thailand.
EM adirakemarkphol@gmail.com; jawanit.k@psu.ac.th;
   derek.armitage@uwaterloo.ca; ponlachart.c@psu.ac.th
RI Chotikarn, Ponlachart/AAB-3784-2021; Armitage, Derek/ABE-6315-2020;
   Kittitornkool, Jawanit/AAT-1597-2021
FU Graduate School and Coastal Oceanography and Climate Change Research
   Center (COCC) , Prince of Songkla University
FX We sincerely appreciate the support of Graduate School and Coastal
   Oceanography and Climate Change Research Center (COCC) , Prince of
   Songkla University for funding this research.
CR Abdrabo MA, 2015, URBAN CLIM, V14, P554, DOI 10.1016/j.uclim.2015.09.005
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Andriesse E, 2021, ASIA PAC VIEWP, V62, P72, DOI 10.1111/apv.12270
   [Anonymous], 2015, J BIOL EARTH SCI
   [Anonymous], 2014, INT J SCI ENG RES
   Armitage D, 2011, GLOBAL ENVIRON CHANG, V21, P995, DOI 10.1016/j.gloenvcha.2011.04.006
   Barros VR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1133
   Benham CF, 2016, OCEAN COAST MANAGE, V128, P29, DOI 10.1016/j.ocecoaman.2016.04.005
   Bennett NJ, 2016, ENVIRON DEV SUSTAIN, V18, P1771, DOI 10.1007/s10668-015-9707-1
   Berkes F, 2009, J ENVIRON MANAGE, V90, P1692, DOI 10.1016/j.jenvman.2008.12.001
   Bindoff N. L., 2019, IPCC SPECIAL REPORT, P447
   Brander LM, 2012, ECOSYST SERV, V1, P62, DOI 10.1016/j.ecoser.2012.06.003
   da Silva LDC, 2020, OCEAN COAST MANAGE, V186, DOI 10.1016/j.ocecoaman.2019.105088
   Castells-Quintana D, 2018, WORLD DEV, V104, P183, DOI 10.1016/j.worlddev.2017.11.016
   Chareonmuang T., 2019, 2 DECADES DECENTRALI
   Chinvanno S, 2013, PARTNER REPORT SER 5, V5
   Chinvanno S., 2017, HDB COMMUNITY VULNER
   Chula Unisearch, 2011, STUD CLIM CHANG IMP
   Cinner JE, 2018, NAT CLIM CHANGE, V8, P117, DOI 10.1038/s41558-017-0065-x
   Cooper HM, 2013, CLIMATIC CHANGE, V116, P547, DOI 10.1007/s10584-012-0510-9
   Dechjit K., 2016, 9 RAJ U TECHN TAWANO, P73
   Department of Marine and Coastal Resources, 2012, FIN REP AN IMP SEA L
   Djenontin INS, 2018, ENVIRON MANAGE, V61, P885, DOI 10.1007/s00267-018-1028-3
   Du YD, 2013, ADV CLIM CHANG RES, V4, P201, DOI 10.3724/SP.J.1248.2013.201
   Duriyapong F., 2011, Songklanakarin Journal of Science and Technology, V33, P469
   Dutra LXC, 2015, OCEAN COAST MANAGE, V109, P64, DOI 10.1016/j.ocecoaman.2015.02.008
   Elsharouny MRMM, 2016, PROCEDIA ENVIRON SCI, V34, P348, DOI 10.1016/j.proenv.2016.04.031
   Fischer AP, 2018, WORLD DEV, V108, P235, DOI 10.1016/j.worlddev.2017.12.007
   Galappaththi IM, 2017, MAR POLICY, V86, P156, DOI 10.1016/j.marpol.2017.09.024
   Gummesson E., 1991, QUALITATIVE METHODS
   Harris F, 2013, ENVIRON SCI POLICY, V31, P109, DOI 10.1016/j.envsci.2013.02.006
   Houghton JT, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, P1
   Intergov Panel Clim Chg, 1990, CLIMATE CHANGE: THE IPCC RESPONSE STRATEGIES, P1
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Jacobi J, 2020, ENVIRON SCI POLICY, V103, P21, DOI 10.1016/j.envsci.2019.10.003
   Jarungrattanapong R., 2008, TDRI Q REV, V23, P11
   Johnson D., 1994, Research Methods in Educational Management
   Kansuntisukmongkul K, 2012, MECH DRIVING COMMUNI
   Khan AS, 2012, OCEAN COAST MANAGE, V69, P327, DOI 10.1016/j.ocecoaman.2012.08.005
   Kithiia J, 2015, OCEAN COAST MANAGE, V106, P110, DOI 10.1016/j.ocecoaman.2015.01.020
   Koerth J, 2013, OCEAN COAST MANAGE, V82, P43, DOI 10.1016/j.ocecoaman.2013.05.008
   Kohklang Subdistrict Administrative Organization, 2017, STRAT PLAN KOHKL SUB
   Kohklang Subdistrict Administrative Organization, 2019, STRAT PLAN KOHKL SUB
   Kongkaew C., 2017, J ENVIRON MANAGE, V13, P4, DOI [10.14456/jem.2017.8, DOI 10.14456/JEM.2017.8]
   Krabi Provincial Administrative Organization, 2020, STRAT PLAN KRAB PROV
   Lemos MC, 2018, NAT SUSTAIN, V1, P722, DOI 10.1038/s41893-018-0191-0
   Liao C, 2016, J ENVIRON MANAGE, V182, P70, DOI 10.1016/j.jenvman.2016.07.032
   Lloyd MG, 2013, LAND USE POLICY, V30, P925, DOI 10.1016/j.landusepol.2012.06.012
   Luc Hoffmann Institute, 2018, SYNTH PAP DOING SCI
   Mahapatra M, 2015, NAT HAZARDS, V76, P139, DOI 10.1007/s11069-014-1491-y
   Markphol A, 2018, 6 MAR SCI C, P279
   Marschke M, 2009, J ENVIRON MANAGE, V90, P206, DOI 10.1016/j.jenvman.2007.08.012
   Medeiros MC, 2018, OCEAN COAST MANAGE, V158, P1, DOI 10.1016/j.ocecoaman.2018.03.014
   Metcalf SJ, 2015, ECOL SOC, V20, DOI 10.5751/ES-07509-200235
   Miller CA, 2020, ENVIRON SCI POLICY, V113, P88, DOI 10.1016/j.envsci.2018.01.016
   Murali RM, 2013, NAT HAZARD EARTH SYS, V13, P3291, DOI 10.5194/nhess-13-3291-2013
   Nicholls RJ, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P315
   Office of Natural Resources and Environmental Policy and Planning [ONEP], 2009, FIN REP AN SEA LEV R
   Office of Natural Resources and Environmental Policy and Planning [ONEP], 2019, MAST PLAN ACC CLIM C
   Petzold J, 2015, OCEAN COAST MANAGE, V112, P36, DOI 10.1016/j.ocecoaman.2015.05.003
   Pohl C, 2010, SCI PUBL POLICY, V37, P267, DOI 10.3152/030234210X496628
   Rao K. Nageswara, 2008, Journal of Coastal Conservation, V12, P195, DOI 10.1007/s11852-009-0042-2
   Realpe A., 2010, The Health Foundation, V19
   Roux DJ, 2010, ENVIRON SCI POLICY, V13, P733, DOI 10.1016/j.envsci.2010.08.002
   Sales RFM, 2009, OCEAN COAST MANAGE, V52, P395, DOI 10.1016/j.ocecoaman.2009.04.007
   Salik KM, 2015, OCEAN COAST MANAGE, V112, P61, DOI 10.1016/j.ocecoaman.2015.05.006
   Samudin M.T., 2019, INT J ENGLISH LIT SO, V4, P497, DOI [10.22161/ijels.4.2.45, DOI 10.22161/IJELS.4.2.45]
   Serrao-Neumann S, 2013, FUTURES, V53, P86, DOI 10.1016/j.futures.2013.08.002
   Stake R. E., 1995, ART CASE STUDY RES
   Sulistyawati Sulistyawati, 2017, Bumi Lestari, V17, P1
   The Treasury Department, 2019, LAND APPR PRIC KRAB
   van der Hel S, 2016, ENVIRON SCI POLICY, V61, P165, DOI 10.1016/j.envsci.2016.03.012
   van der Molen F, 2018, ENVIRON SCI POLICY, V87, P18, DOI 10.1016/j.envsci.2018.05.016
   Vogel C, 2007, GLOBAL ENVIRON CHANG, V17, P349, DOI 10.1016/j.gloenvcha.2007.05.002
   Vongvisessomjai S., 2010, Songklanakarin Journal of Science and Technology, V32, P431
   Whitney CK, 2017, ECOL SOC, V22, DOI 10.5751/ES-09325-220222
   Wijayanti WP, 2016, PROCD SOC BEHV, V227, P477, DOI 10.1010/j.sbspro.2016.06.103
   Willyard C, 2018, NATURE, V562, P24, DOI 10.1038/d41586-018-06858-4
   Wongbusarakum S., 2011, First draft for public circulation and field testing
   Yin R. K., 2013, Case study research: Design and methods, V5, DOI DOI 10.1097/FCH.0B013E31822DDA9E
NR 80
TC 9
Z9 9
U1 4
U2 20
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0964-5691
EI 1873-524X
J9 OCEAN COAST MANAGE
JI Ocean Coastal Manage.
PD OCT 15
PY 2021
VL 212
AR 105846
DI 10.1016/j.ocecoaman.2021.105846
EA AUG 2021
PG 11
WC Oceanography; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Oceanography; Water Resources
GA WB9AJ
UT WOS:000703857800003
DA 2025-01-10
ER

PT J
AU Zhang, MH
   Abrahao, G
   Cohn, A
   Campolo, J
   Thompson, S
AF Zhang, Minghui
   Abrahao, Gabriel
   Cohn, Avery
   Campolo, Jake
   Thompson, Sally
TI A MODIS-based scalable remote sensing method to estimate sowing and
   harvest dates of soybean crops in Mato Grosso, Brazil
SO HELIYON
LA English
DT Article
DE Soy cultivation; Sowing date; Mato Grosso; Climate change; Remote
   sensing; Time series analysis
ID CLIMATE-CHANGE ADAPTATION; NDVI TIME-SERIES; CROPPING AGRICULTURE
   SYSTEMS; PLANTING DATE; ADAPTING AGRICULTURE; VEGETATION PHENOLOGY;
   SATELLITE DATA; FOOD SECURITY; BURKINA-FASO; LAND-USE
AB Large-scale agriculture in the state of Mato Grosso, Brazil is a major contributor to global food supplies, but its continued productivity is vulnerable to contracting wet seasons and increased exposure to extreme temperatures. Sowing dates serve as an effective adaptation strategy to these climate perturbations. By controlling the weather experienced by crops and influencing the number of successive crops that can be grown in a year, sowing dates can impact both individual crop yields and cropping intensities. Unfortunately, the spatiotemporally resolved crop phenology data necessary to understand sowing dates and their relationship to crop yield are only available over limited years and regions. To fill this data gap, we produce a 500 m rainfed soy (Glycine max) sowing and harvest date dataset for Mato Grosso from 2004 to 2014 using a novel time series analysis method for Moderate Resolution Imaging Spectroradiometer (MODIS) satellite imagery, adapted for implementation in Google Earth Engine (GEE). Our estimates reveal that soy sowing and harvest dates varied widely (about 2 months) from field to field, confirming the need for spatially resolved crop timing information. An interannual trend toward earlier sowing dates occurred independently of variations in wet season onset, and may be attributed to an improvement in logistic or economic constraints that previously hampered early sowing. As anticipated, double cropped fields in which two crops are grown in succession are planted earlier than single cropped fields. This difference shrank, however, as sowing of single cropped fields occurred closer to the wet season onset in more recent years. The analysis offers insights about sowing behavior in response to historical climate variations which could be extended to understand sowing response under climate change in Mato Grosso.
C1 [Zhang, Minghui; Thompson, Sally] Univ Calif Berkeley, Dept Civil & Environm Engn, Berkeley, CA 94720 USA.
   [Abrahao, Gabriel] Univ Fed Vicosa, Vicosa, MG, Brazil.
   [Cohn, Avery] Tufts Univ, 419 Boston Ave, Medford, MA 02155 USA.
   [Campolo, Jake] Stanford Univ, Dept Earth Syst Sci, Stanford, CA 94305 USA.
   [Campolo, Jake] Stanford Univ, Ctr Food Secur & Environm, Stanford, CA 94305 USA.
   [Thompson, Sally] Univ Western Australia, Dept Civil Environm & Min Engn, Perth, WA, Australia.
C3 University of California System; University of California Berkeley;
   Universidade Federal de Vicosa; Tufts University; Stanford University;
   Stanford University; University of Western Australia
RP Zhang, MH (corresponding author), Univ Calif Berkeley, Dept Civil & Environm Engn, Berkeley, CA 94720 USA.
EM ming9zhang@gmail.com
RI Abrahão, Gabriel/W-7607-2019; Thompson, Sally/J-7615-2012
OI Thompson, Sally/0000-0003-4618-5066; Zhang, Minghui/0000-0001-7422-649X;
   Abrahao, Gabriel/0000-0003-0336-6246
FU Gordon and Betty Moore Foundation; NSF [EAR-1555041]; NSF GRFP
FX This work was supported by the Gordon and Betty Moore Foundation, the
   NSF EAR1555041, and the NSF GRFP.
CR Abrahao GM, 2018, AGR FOREST METEOROL, V256, P32, DOI 10.1016/j.agrformet.2018.02.031
   Agrosatelite, 2017, PLANT AR CROP YIELD
   Alexander P, 2018, GLOBAL CHANGE BIOL, V24, P2791, DOI 10.1111/gcb.14110
   Alexandrov V, 2002, GLOBAL CHANGE BIOL, V8, P372, DOI 10.1046/j.1354-1013.2002.00484.x
   [Anonymous], 2015, GEOSCI MODEL DEV, DOI DOI 10.5194/gmd-8-261-2015
   Anwar MR, 2013, THEOR APPL CLIMATOL, V113, P225, DOI 10.1007/s00704-012-0780-1
   Picoli MCA, 2018, ISPRS J PHOTOGRAMM, V145, P328, DOI 10.1016/j.isprsjprs.2018.08.007
   Arvor D, 2014, INT J CLIMATOL, V34, P2622, DOI 10.1002/joc.3863
   Arvor D, 2013, GEOJOURNAL, V78, P833, DOI 10.1007/s10708-012-9469-3
   Arvor D, 2012, APPL GEOGR, V32, P702, DOI 10.1016/j.apgeog.2011.08.007
   Baldwin BS, 2009, IND CROP PROD, V29, P316, DOI 10.1016/j.indcrop.2008.06.004
   Becker WR, 2021, INT J REMOTE SENS, V42, P1121, DOI 10.1080/01431161.2020.1823042
   Bégué A, 2010, INT J REMOTE SENS, V31, P5391, DOI 10.1080/01431160903349057
   Bégué A, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10010099
   Bolton D., 2020, REM SENS ENV, V240, P1
   Borchers A., 2014, Economic Information Bulletin, P1
   Boschetti M, 2009, INT J REMOTE SENS, V30, P4643, DOI 10.1080/01431160802632249
   Brito S., 2017, ATLAS IRRIGA CEAO MO
   Brown JC, 2013, REMOTE SENS ENVIRON, V130, P39, DOI 10.1016/j.rse.2012.11.009
   Bussmann A, 2016, LAND USE POLICY, V52, P316, DOI 10.1016/j.landusepol.2015.12.007
   Challinor AJ, 2014, NAT CLIM CHANGE, V4, P287, DOI [10.1038/nclimate2153, 10.1038/NCLIMATE2153]
   Clinton Nick., 2017, Time Series Analysis in Earth Engine WWW Document
   Cohn AS, 2016, NAT CLIM CHANGE, V6, P601, DOI [10.1038/nclimate2934, 10.1038/NCLIMATE2934]
   Correa P., 2014, PUBLIC RES ORG AGR D, V145, P1
   Costa MH, 2010, INT J CLIMATOL, V30, P1970, DOI 10.1002/joc.2048
   Dharmarathna WRSS, 2014, SUSTAIN SCI, V9, P103, DOI 10.1007/s11625-012-0192-2
   Dobor L, 2016, AGR FOREST METEOROL, V223, P103, DOI 10.1016/j.agrformet.2016.03.023
   Dounias I, 2002, AGR SYST, V73, P233, DOI 10.1016/S0308-521X(01)00077-4
   Dubreuil V, 2012, ENVIRON MONIT ASSESS, V184, P877, DOI 10.1007/s10661-011-2006-x
   Farr TG, 2007, REV GEOPHYS, V45, DOI 10.1029/2005RG000183
   Feola G, 2015, J RURAL STUD, V39, P74, DOI 10.1016/j.jrurstud.2015.03.009
   Fires GF, 2016, AGR FOREST METEOROL, V228, P286, DOI 10.1016/j.agrformet.2016.07.005
   Fu R., 2013, P NAT ACAD SCI, V1073, P1
   Gao F., 2020, REM SENS ENV, V242, P1
   Geerken RA, 2009, ISPRS J PHOTOGRAMM, V64, P422, DOI 10.1016/j.isprsjprs.2009.03.001
   Gourdji SM, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/2/024041
   Grassini P, 2015, FIELD CROP RES, V177, P49, DOI 10.1016/j.fcr.2015.03.004
   Hampf AC, 2020, AGR SYST, V177, DOI 10.1016/j.agsy.2019.102707
   Hassan R, 2008, AFR J AGRIC RESOUR E, V2, P83
   Hertel TW, 2010, GLOBAL ENVIRON CHANG, V20, P577, DOI 10.1016/j.gloenvcha.2010.07.001
   Hmimina G, 2013, REMOTE SENS ENVIRON, V132, P145, DOI 10.1016/j.rse.2013.01.010
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Ibrahim B, 2014, CLIM DYNAM, V42, P1363, DOI 10.1007/s00382-013-1837-2
   Iizumi T, 2019, J ADV MODEL EARTH SY, V11, P99, DOI 10.1029/2018MS001477
   IMEA,, 2019, CROP PROGR
   Jones JW, 2003, EUR J AGRON, V18, P235, DOI 10.1016/S1161-0301(02)00107-7
   Jönsson P, 2004, COMPUT GEOSCI-UK, V30, P833, DOI 10.1016/j.cageo.2004.05.006
   Kala N., 2015, Ambiguity aversion and learning in a changing world: The potential e ects of climate change from Indian agriculture
   Kastens JH, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0176168
   Khanal U, 2018, ECOL ECON, V144, P139, DOI 10.1016/j.ecolecon.2017.08.006
   Knox J, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/3/034032
   Kucharik CJ, 2006, AGRON J, V98, P1544, DOI 10.2134/agronj2006.0156
   Kucharik CJ, 2008, ENVIRON RES LETT, V3, DOI 10.1088/1748-9326/3/3/034003
   Laux P, 2010, AGR FOREST METEOROL, V150, P1258, DOI 10.1016/j.agrformet.2010.05.008
   Liebmann B, 2007, J CLIMATE, V20, P2037, DOI 10.1175/JCLI4122.1
   Liu YJ, 2020, J CLEAN PROD, V262, DOI 10.1016/j.jclepro.2020.121271
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   Lobell DB, 2013, AGR SYST, V115, P137, DOI 10.1016/j.agsy.2012.09.003
   Ma SX, 2012, INT J BIOMETEOROL, V56, P749, DOI 10.1007/s00484-011-0478-6
   Mapbiomas P, 2019, MAPBIOMAS
   Naylor RL, 2007, P NATL ACAD SCI USA, V104, P7752, DOI 10.1073/pnas.0701825104
   Neill C, 2017, TROP CONSERV SCI, V10, DOI 10.1177/1940082917720669
   O. B. P. G. NASA Goddard Space Flight Center Ocean Ecology Laboratory, 2019, MOD RES IM SPECTR MO
   ORTIZ-MONASTERIO JI, 1994, FIELD CROP RES, V37, P169, DOI 10.1016/0378-4290(94)90096-5
   Pan ZK, 2015, INT J APPL EARTH OBS, V34, P188, DOI 10.1016/j.jag.2014.08.011
   Planet, 2017, PLAN APPL PROGR INT
   Reed Bradley C., 2009, P231, DOI 10.1007/978-1-4419-0026-5_10
   Reidsma P, 2010, EUR J AGRON, V32, P91, DOI 10.1016/j.eja.2009.06.003
   Ren Jie., 2017, Remote Sensing, V9, P1
   Rosenzweig Cynthia, 2014, Proc Natl Acad Sci U S A, V111, P3268, DOI 10.1073/pnas.1222463110
   Sacks WJ, 2010, GLOBAL ECOL BIOGEOGR, V19, P607, DOI 10.1111/j.1466-8238.2010.00551.x
   Sakamoto T, 2005, REMOTE SENS ENVIRON, V96, P366, DOI 10.1016/j.rse.2005.03.008
   Sarr B, 2012, ATMOS SCI LETT, V13, P108, DOI 10.1002/asl.368
   Schlenker W, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014010
   Schmidhuber J, 2007, P NATL ACAD SCI USA, V104, P19703, DOI 10.1073/pnas.0701976104
   Shumway R.H., 2017, Time Series Analysis and Its Applications: With R Examples
   Soltani A., 2012, Modeling physiology of crop development, growth and yield, DOI 10.1079/9781845939700.0000
   Spera SA, 2020, NAT SUSTAIN, V3, P845, DOI 10.1038/s41893-020-0560-3
   Stöckle CO, 2003, EUR J AGRON, V18, P289, DOI 10.1016/S1161-0301(02)00109-0
   THIES JE, 1995, SOIL BIOL BIOCHEM, V27, P575, DOI 10.1016/0038-0717(95)98634-Z
   Thornton PK, 2018, GLOBAL ENVIRON CHANG, V52, P37, DOI 10.1016/j.gloenvcha.2018.06.003
   Urban D, 2018, REMOTE SENS ENVIRON, V211, P400, DOI 10.1016/j.rse.2018.03.039
   Victoria DD, 2012, PESQUI AGROPECU BRAS, V47, P1270
   Vizy EK, 2015, CLIM DYNAM, V45, P1673, DOI 10.1007/s00382-014-2424-x
   Wagenseil H, 2006, INT J REMOTE SENS, V27, P3455, DOI 10.1080/01431160600639743
   Waha K, 2013, GLOBAL ENVIRON CHANG, V23, P130, DOI 10.1016/j.gloenvcha.2012.11.001
   Waha K, 2012, GLOBAL ECOL BIOGEOGR, V21, P247, DOI 10.1111/j.1466-8238.2011.00678.x
   Waongo M, 2014, J APPL METEOROL CLIM, V53, P598, DOI 10.1175/JAMC-D-13-0116.1
   Xavier AC, 2016, INT J CLIMATOL, V36, P2644, DOI 10.1002/joc.4518
   Zalles V, 2019, P NATL ACAD SCI USA, V116, P428, DOI 10.1073/pnas.1810301115
   Zeng LL, 2016, REMOTE SENS ENVIRON, V181, P237, DOI 10.1016/j.rse.2016.03.039
   Zhang M., 2021, CLIMATIC CHANGE
   Zhang XY, 2020, ISPRS J PHOTOGRAMM, V161, P37, DOI 10.1016/j.isprsjprs.2020.01.012
   Zhang XY, 2003, REMOTE SENS ENVIRON, V84, P471, DOI 10.1016/S0034-4257(02)00135-9
   Zhong LH, 2016, ISPRS J PHOTOGRAMM, V119, P151, DOI 10.1016/j.isprsjprs.2016.05.014
NR 95
TC 19
Z9 21
U1 2
U2 17
PU CELL PRESS
PI CAMBRIDGE
PA 50 HAMPSHIRE ST, FLOOR 5, CAMBRIDGE, MA 02139 USA
EI 2405-8440
J9 HELIYON
JI Heliyon
PD JUL
PY 2021
VL 7
IS 7
AR e07436
DI 10.1016/j.heliyon.2021.e07436
EA JUL 2021
PG 16
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA UD5SC
UT WOS:000687265300012
PM 34278029
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Karki, S
   Burton, P
   Mackey, B
AF Karki, Sikha
   Burton, Paul
   Mackey, Brendan
TI Climate change adaptation by subsistence and smallholder farmers:
   Insights from three agro-ecological regions of Nepal
SO COGENT SOCIAL SCIENCES
LA English
DT Article
DE Climate change; adaptation strategies; rural farmers; agricultural
   practices; constraints; developing countries; Nepal
ID FOOD SECURITY; ADAPTIVE CAPACITY; VARIABILITY; PERCEPTIONS; STRATEGIES;
   DETERMINANTS; AGRICULTURE; IMPACTS; VULNERABILITY; LIVELIHOODS
AB The unprecedented challenges posed by climate change necessitate agricultural adaptation by farmers, especially in the regions of Asia, where rain-fed agriculture is the principal source of food production. Studying adaptation not only assists in knowing how farmers are dealing with the repercussions of climate change, but also provides the baseline for the planned interventions which are essential in this era of human-instigated climate change. We used case study data to examine whether and how subsistence-oriented smallholder farmers in three agro-ecological zones of Nepal (Terai, Hill, and Mountain) are developing and implementing adaptation strategies. The findings from small farm household interviews (n = 384), key informant interviews (n = 33), and focus group discussions (n = 3) suggest that farmers are dealing with the challenges facing their traditional agricultural practices. The main adaptation strategies include changing crop types and varieties, adding fertilizers, the use of new technologies, soil and water management, diversification of income sources, and migration. Both climatic and non-climatic factors were found to influence these subsistence smallholder farmers' adaptation practices. However, climatic factors that are beyond individual control threatened the livelihood of rural farmers who predominantly rely on natural resources for their livelihood and income. The findings highlight the interplay of multiple agents: local farmers, community-based organizations, and the local and central government organizations in the role they play in assisting farmers adapt to the impacts of climate change; this interplay emphasizes the need for collaboration for effective adaptation. The findings from this study can inform policymakers about ongoing adaptation measures as well as the needs of farmers. This information can assist in bridging the gap between farm households and policymakers and help develop suitable policies and effective adaptation strategies within this local Nepalese context.
C1 [Karki, Sikha; Burton, Paul] Griffith Univ, Cities Res Inst, Gold Coast Campus, Nathan, Qld, Australia.
   [Karki, Sikha] Griffith Univ, Sch Environm & Sci, Gold Coast Campus, Nathan, Qld, Australia.
   [Mackey, Brendan] Griffith Univ, Griffith Climate Change Response Program, Gold Coast Campus, Nathan, Qld, Australia.
C3 Griffith University; Griffith University; Griffith University
RP Karki, S (corresponding author), Griffith Univ, Cities Res Inst, Gold Coast Campus, Nathan, Qld, Australia.; Karki, S (corresponding author), Griffith Univ, Sch Environm & Sci, Gold Coast Campus, Nathan, Qld, Australia.
EM sikha.karki@griffithuni.edu.au
RI Mackey, Brendan/ABE-3805-2020; Burton, Paul Andrew/AAG-3436-2020
OI Karki, Sikha/0000-0002-9739-5584; Burton, Paul
   Andrew/0000-0002-6092-0779; Mackey, Brendan/0000-0003-1996-4064
FU Griffith University
FX Thanks to Griffith University Postgraduate Scholarship for providing
   financial support to the first author for conducting this study. We
   acknowledge Pramin Ghimire for his help in preparing the map used in
   this article and Dr Johanna Nalau for her suggestions in an earlier
   draft.
CR Abid M, 2015, EARTH SYST DYNAM, V6, P225, DOI 10.5194/esd-6-225-2015
   Abid M, 2016, SCI TOTAL ENVIRON, V547, P447, DOI 10.1016/j.scitotenv.2015.11.125
   Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Aggarwal PK, 2010, WATER RESOUR DEV MAN, P49, DOI 10.1007/978-3-642-04615-5_3
   Aktar Md Wasim, 2009, Interdiscip Toxicol, V2, P1, DOI 10.2478/v10102-009-0001-7
   Alam GMM, 2017, CLIM RISK MANAG, V17, P52, DOI 10.1016/j.crm.2017.06.006
   Ali A, 2017, CLIM RISK MANAG, V16, P183, DOI 10.1016/j.crm.2016.12.001
   [Anonymous], INT C CLIM CHANG INN
   [Anonymous], 2012, National population and housing census 2011 (national report)
   [Anonymous], NEP FIG 2018
   [Anonymous], PROV PROF PROV 3 03
   [Anonymous], 20 CARIAA
   [Anonymous], 2013, A Report for the World Bank by the Potsdam Institute for Climate Impact Research and Climate Analytics
   [Anonymous], 2017, DW1000 data sheet, version 2.19
   [Anonymous], DISTR COORD COMM SIN
   [Anonymous], EC SURV FISC YEAR 20
   [Anonymous], 2007, A stitch in time: lessons for climate change adaptation from the AIACC project
   [Anonymous], NAT LIV STAND SURV 2
   [Anonymous], 2011, POV NEP
   [Anonymous], 2014, UNDERSTANDING FOCUS
   [Anonymous], AGR DEV STRAT ADS 20
   [Anonymous], COMCAD WORKING PAPER
   [Anonymous], NAT AD PROGR ACT CLI
   [Anonymous], CROP FOOD SEC ASS JO
   [Anonymous], 2013, Guide de surveillance biologique basee sur les macroinvertebres benthiques d'eau douce du Quebec - Cours d'eau peu profonds a substrat grossier, P88
   Antwi-Agyei P, 2014, REG ENVIRON CHANGE, V14, P1615, DOI 10.1007/s10113-014-0597-9
   Aryal A, 2014, THEOR APPL CLIMATOL, V115, P517, DOI 10.1007/s00704-013-0902-4
   Banerjee RR, 2015, NAT HAZARDS, V75, P2829, DOI 10.1007/s11069-014-1466-z
   Barnett J, 2011, REG ENVIRON CHANGE, V11, pS229, DOI 10.1007/s10113-010-0160-2
   Bastakoti RC, 2014, REG ENVIRON CHANGE, V14, P207, DOI 10.1007/s10113-013-0485-8
   Bazeley P., 2007, Qualitative data analysis with NVivo
   Belay Abrham., 2017, Agriculture Food Security, V6, P24, DOI [10.1186/s40066-017-0100-1, DOI 10.1186/S40066-017-0100-1]
   Bhatta Laxmi D., 2015, International Journal of Biodiversity Science Ecosystem Services & Management, V11, P145, DOI 10.1080/21513732.2015.1027793
   Biermann M., 2009, ROLE LOCAL NGOS ANTI
   Biggs EM, 2013, CLIM DEV, V5, P165, DOI 10.1080/17565529.2013.789791
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Brown PR, 2016, AGR SYST, V146, P129, DOI 10.1016/j.agsy.2016.05.002
   Bryan E, 2013, J ENVIRON MANAGE, V114, P26, DOI 10.1016/j.jenvman.2012.10.036
   Bryant CR, 2000, CLIMATIC CHANGE, V45, P181, DOI 10.1023/A:1005653320241
   Bryman A., 2016, Social Research Methods, V5th
   Central Bureau of Statistics, 2016, STAT POCK BOOK
   Chalise S, 2015, INT J GLOBAL WARM, V7, P380, DOI 10.1504/IJGW.2015.069369
   CORNISH G.A., 1998, Modern irrigation technologies for smallholders in developing countries
   Dahal B. M., 2018, Sustainable Agriculture Research, V7, P52, DOI 10.5539/sar.v7n3p52
   Deressa T. T., 2007, Policy Research Working Paper - World Bank
   Deressa TT, 2009, GLOBAL ENVIRON CHANG, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   DHM, 2017, Observed climate trend analysis in the districts and physiographic regions of Nepal (1971-2014)
   Easterling W, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P273
   Esham M, 2013, MITIG ADAPT STRAT GL, V18, P535, DOI 10.1007/s11027-012-9374-6
   Forsyth T, 2013, WIRES CLIM CHANGE, V4, P439, DOI 10.1002/wcc.231
   Fosu-Mensah B. Y., 2012, Environment Development and Sustainability, V14, P495, DOI 10.1007/s10668-012-9339-7
   Gamble DW, 2010, ANN ASSOC AM GEOGR, V100, P880, DOI 10.1080/00045608.2010.497122
   Gentle P, 2018, CLIMATIC CHANGE, V147, P267, DOI 10.1007/s10584-017-2124-8
   Gentle P, 2012, ENVIRON SCI POLICY, V21, P24, DOI 10.1016/j.envsci.2012.03.007
   Gezie M, 2019, COGENT FOOD AGR, V5, DOI 10.1080/23311932.2019.1613770
   Gioli G, 2019, HINDU KUSH HIMALAYA ASSESSMENT: MOUNTAINS, CLIMATE CHANGE, SUSTAINABILITY AND PEOPLE, P421, DOI 10.1007/978-3-319-92288-1_12
   Gray CL, 2009, POPUL ENVIRON, V30, P193, DOI 10.1007/s11111-009-0081-5
   Greene J. C., 1989, Educational Evaluation and Policy Analysis, V11, P255, DOI [10.3102/01623737011003255, DOI 10.3102/01623737011003255, DOI 10.2307/1163620]
   Kassie BT, 2013, ENVIRON MANAGE, V52, P1115, DOI 10.1007/s00267-013-0145-2
   Khanal U, 2019, CLIM DEV, V11, P555, DOI 10.1080/17565529.2018.1469965
   Khanal U, 2019, ENVIRON DEV SUSTAIN, V21, P621, DOI 10.1007/s10668-017-0050-6
   Khanal U, 2018, ECOL ECON, V144, P139, DOI 10.1016/j.ecolecon.2017.08.006
   Kreft S., 2015, GLOBAL CLIMATE RISK
   KREJCIE RV, 1970, EDUC PSYCHOL MEAS, V30, P607, DOI 10.1177/001316447003000308
   Lavrakas P. J., 2008, Encyclopedia of survey research methods, DOI DOI 10.4135/9781412963947
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   Loria N., 2016, NAT ENVIRON POLLUT T, V15, P895
   Macchi M, 2015, CLIM DEV, V7, P414, DOI 10.1080/17565529.2014.966046
   Maddison DavidJ., 2007, PERCEPTION ADAPTATIO, DOI 10.1596/1813-9450-4308
   Maharjan SK, 2017, COGENT FOOD AGR, V3, DOI 10.1080/23311932.2017.1310078
   Manandhar S, 2011, REG ENVIRON CHANGE, V11, P335, DOI 10.1007/s10113-010-0137-1
   McDowell G, 2013, REG ENVIRON CHANGE, V13, P299, DOI 10.1007/s10113-012-0333-2
   McDowell JZ, 2012, GLOBAL ENVIRON CHANG, V22, P342, DOI 10.1016/j.gloenvcha.2011.11.002
   Mimura N, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P869
   Mishra A, 2019, HINDU KUSH HIMALAYA ASSESSMENT: MOUNTAINS, CLIMATE CHANGE, SUSTAINABILITY AND PEOPLE, P457, DOI 10.1007/978-3-319-92288-1_13
   Neupane D, 2014, ENVIRON HEALTH-GLOB, V13, DOI 10.1186/1476-069X-13-98
   Pachauri RK, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, pVII
   Panda C.K., 2016, International journal of agriculture, environment and biotechnology, V9, P839, DOI DOI 10.5958/2230-732X.2016.00108.X
   Pandey R, 2018, ECOL INDIC, V84, P27, DOI 10.1016/j.ecolind.2017.08.021
   Pandey SS, 2016, FOREST ECOL MANAG, V360, P400, DOI 10.1016/j.foreco.2015.09.040
   Panta S. K., 2018, Journal of Ecotourism, V17, P20, DOI 10.1080/14724049.2017.1299743
   Parry M.L., 2007, IPCC Climate Change 2007: Impacts, Adaptation and Vulnerability
   Pradhan NS, 2015, INT J WATER RESOUR D, V31, P269, DOI 10.1080/07900627.2015.1033514
   Regmi B., 2009, CLIMATE CHANGE AGROB
   Regmi B.R., 2013, Journal of Forest and Livelihood, V11, P43, DOI DOI 10.3126/JFL.V11I1.8612
   Reid H, 2014, COMMUNITY-BASED ADAPTATION TO CLIMATE CHANGE: SCALING IT UP, P3
   Rijal JP, 2018, AGRICULTURE-BASEL, V8, DOI 10.3390/agriculture8010016
   Rodriguez-Solorzano C, 2014, ECOL SOC, V19, DOI 10.5751/ES-06509-190253
   Salau E.S., 2012, Journal of Agricultural Extension, V16, P199, DOI [10.4314/jae.v16i2.15, DOI 10.4314/JAE.V16I2.15]
   Sebastian K., 2014, Atlas of African Agriculture Research Development: Revealing Agriculture's Place in Africa
   Shakya Martina., 2009, Risk, Vulnerability and Tourism in Developing Countries: The Case of Nepal
   Shikuku KM, 2017, CLIM RISK MANAG, V16, P234, DOI 10.1016/j.crm.2017.03.001
   Shrestha RP, 2016, FOOD SECUR, V8, P415, DOI 10.1007/s12571-016-0554-1
   Skowronek D., 2009, COLL RES LIB NEWS, V70, P412, DOI [https://doi.org/10.5860/crln.70.7.8221, DOI 10.5860/CRLN.70.7.8221]
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smit B, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P877
   Smith B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966
   Spencer L., 2013, QUALITATIVE RES PRAC, V2nd
   Sujakhu NM, 2016, MT RES DEV, V36, P15, DOI 10.1659/MRD-JOURNAL-D-15-00032.1
   Tamang S., 2014, Journal of Forest and Livelihood, V12, P20
   Tambo JA, 2013, REG ENVIRON CHANGE, V13, P375, DOI 10.1007/s10113-012-0351-0
   Tembo F. M., 2018, Journal of Agricultural Extension and Rural Development, V10, P11, DOI 10.5897/jaerd2017.0929
   Tiwari K.R., 2014, International Journal of Multidisciplinary and Current Research, P234
   Tripathi A, 2017, CLIM RISK MANAG, V16, P195, DOI 10.1016/j.crm.2016.11.002
   Tyrer S, 2016, BJPSYCH BULL, V40, P57, DOI 10.1192/pb.bp.114.050203
   van Oudenhoven FJW, 2011, MANAG ENVIRON QUAL, V22, P154, DOI 10.1108/14777831111113356
   Wester P, 2019, HINDU KUSH HIMALAYA ASSESSMENT: MOUNTAINS, CLIMATE CHANGE, SUSTAINABILITY AND PEOPLE, P1, DOI 10.1007/978-3-319-92288-1
   Wilk J, 2015, ENVIRON DEV SUSTAIN, V17, P393, DOI 10.1007/s10668-014-9549-2
   Wilk J, 2013, REG ENVIRON CHANGE, V13, P273, DOI 10.1007/s10113-012-0323-4
   Wilken GeneC., 1990, Good Farmers: Traditional Agricultural Resource Management in Mexico and Central America
   World Bank, 2011, NEP PRIOR AGR RUR DE
   Yamba S, 2019, COGENT SOC SCI, V5, DOI 10.1080/23311886.2019.1646626
   Yin R., 2010, QUALITATIVE RES STAR
   Younus MAF, 2014, LOCAL ECON, V29, P22, DOI 10.1177/0269094213515175
NR 115
TC 38
Z9 40
U1 0
U2 24
PU TAYLOR & FRANCIS AS
PI OSLO
PA KARL JOHANS GATE 5, NO-0154 OSLO, NORWAY
SN 2331-1886
J9 COGENT SOC SCI
JI Cogent Soc. Sci.
PD JAN 1
PY 2020
VL 6
IS 1
AR 1720555
DI 10.1080/23311886.2020.1720555
PG 23
WC Social Sciences, Interdisciplinary
WE Emerging Sources Citation Index (ESCI)
SC Social Sciences - Other Topics
GA KG7GX
UT WOS:000510117500001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Michalak, JL
   Lawler, JJ
   Roberts, DR
   Carroll, C
AF Michalak, Julia L.
   Lawler, Joshua J.
   Roberts, David R.
   Carroll, Carlos
TI Distribution and protection of climatic refugia in North America
SO CONSERVATION BIOLOGY
LA English
DT Article
DE climate analogs; climate-change adaptation; climate-change
   vulnerability; conservation; dispersal; protected areas
ID CHANGE VELOCITY; CONSERVATION; MICROREFUGIA; COMMUNITIES; RESPONSES;
   SELECTION; FUTURE; RISK
AB As evidenced by past climatic refugia, locations projected to harbor remnants of present-day climates may serve as critical refugia for current biodiversity in the face of modern climate change. We mapped potential climatic refugia in the future across North America, defined as locations with increasingly rare climatic conditions. We identified these locations by tracking projected changes in the size and distribution of climate analogs over time. We used biologically derived thresholds to define analogs and tested the impacts of dispersal limitation with 4 distances to limit analog searches. We identified at most 12% of North America as potential climatic refugia. Refugia extent varied depending on the analog threshold, dispersal distance, and climate projection. However, in all cases refugia were concentrated at high elevations and in topographically complex regions. Refugia identified using different climate projections were largely nested, suggesting that identified refugia were relatively robust to climate-projection selection. Existing conservation areas cover approximately 10% of North America and yet protected up to 25% of identified refugia, indicating that protected areas disproportionately include refugia. Refugia located at lower latitudes (<= 40 degrees N) and slightly lower elevations (approximately 2500 m) were more likely to be unprotected. Based on our results, a 23% expansion of the protected-area network would be sufficient to protect the refugia present under all 3 climate projections we explored. We believe these refugia are high conservation priorities due to their potential to harbor rare species in the future. However, these locations are simultaneously highly vulnerable to climate change over the long term. These refugia contracted substantially between the 2050s and the 2080s, which supports the idea that the pace of climate change will strongly determine the availability and effectiveness of refugia for protecting today's biodiversity.
C1 [Michalak, Julia L.; Lawler, Joshua J.] Univ Washington, Sch Environm & Forest Sci, Seattle, WA 98195 USA.
   [Roberts, David R.] Univ Alberta, Dept Renewable Resources, Edmonton, AB T6G 2H1, Canada.
   [Roberts, David R.] Univ Freiburg, Dept Biometry & Environm Syst Anal, D-79106 Freiburg, Germany.
   [Carroll, Carlos] Klamath Ctr Conservat Res, Orleans, CA 95556 USA.
C3 University of Washington; University of Washington Seattle; University
   of Alberta; University of Freiburg
RP Michalak, JL (corresponding author), Univ Washington, Sch Environm & Forest Sci, Seattle, WA 98195 USA.
EM michalaj@uw.edu
OI Michalak, Julia/0000-0002-2524-8390; Roberts, David/0000-0002-3437-2422
FU Wilburforce Foundation; U.S. National Parks Service; Northwest Climate
   Science Center
FX We thank the Wilburforce Foundation, the U.S. National Parks Service,
   and the Northwest Climate Science Center for their support of this
   study. This work is a contribution to the AdaptWest project
   (http://adaptwest.databasin.org).We thank D. Stralberg, S. Neilson, and
   A. Hamann for valuable discussions. We acknowledge the World Climate
   Research Programme's Working Group on Coupled Modelling for making
   available the CMIP5 multimodel data set.
CR *ADAPTWEST PROJ, 2015, GRIDD CURR PROJ CLIM
   [Anonymous], 2013, BIRD SPEC DISTR MAPS
   Araújo MB, 2004, GLOBAL CHANGE BIOL, V10, P1618, DOI 10.1111/j.1365-2486.2004.00828.x
   Ashcroft MB, 2012, GLOBAL CHANGE BIOL, V18, P1866, DOI 10.1111/j.1365-2486.2012.02661.x
   Ashcroft MB, 2010, J BIOGEOGR, V37, P1407, DOI 10.1111/j.1365-2699.2010.02300.x
   Bowman J, 2002, ECOLOGY, V83, P2049, DOI 10.2307/3071786
   Burrows MT, 2014, NATURE, V507, P492, DOI 10.1038/nature12976
   Carroll C, 2017, GLOBAL CHANGE BIOL, V23, P4508, DOI 10.1111/gcb.13679
   Carroll C, 2010, GLOBAL CHANGE BIOL, V16, P891, DOI 10.1111/j.1365-2486.2009.01965.x
   Corlett RT, 2013, TRENDS ECOL EVOL, V28, P482, DOI 10.1016/j.tree.2013.04.003
   Dobrowski SZ, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms12349
   Dobrowski SZ, 2011, GLOBAL CHANGE BIOL, V17, P1022, DOI 10.1111/j.1365-2486.2010.02263.x
   Donner LJ, 2011, J CLIMATE, V24, P3484, DOI 10.1175/2011JCLI3955.1
   Elsen PR, 2015, NAT CLIM CHANGE, V5, P772, DOI [10.1038/NCLIMATE2656, 10.1038/nclimate2656]
   Game ET, 2011, GLOBAL CHANGE BIOL, V17, P3150, DOI 10.1111/j.1365-2486.2011.02457.x
   Gavin DG, 2014, NEW PHYTOL, V204, P37, DOI 10.1111/nph.12929
   Grimm NB, 2013, FRONT ECOL ENVIRON, V11, P474, DOI 10.1890/120282
   Groves CR, 2012, BIODIVERS CONSERV, V21, P1651, DOI 10.1007/s10531-012-0269-3
   Hamann A, 2015, GLOBAL CHANGE BIOL, V21, P997, DOI 10.1111/gcb.12736
   Hannah L, 2014, TRENDS ECOL EVOL, V29, P390, DOI 10.1016/j.tree.2014.04.006
   HilleRisLambers J, 2013, ANN NY ACAD SCI, V1297, P112, DOI 10.1111/nyas.12182
   IUCN, 2016, The IUCN Red List of Threatened Species
   Jackson ST, 2000, PALEOBIOLOGY, V26, P194, DOI 10.1666/0094-8373(2000)26[194:ROPPAC]2.0.CO;2
   Joppa LN, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0008273
   Keppel G, 2012, GLOBAL ECOL BIOGEOGR, V21, P393, DOI 10.1111/j.1466-8238.2011.00686.x
   Langdon JGR, 2015, ECOSPHERE, V6, DOI 10.1890/ES14-00400.1
   Littlefield CE, 2017, CONSERV BIOL, V31, P1397, DOI 10.1111/cobi.12938
   Loarie SR, 2009, NATURE, V462, P1052, DOI 10.1038/nature08649
   Loarie SR, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0002502
   Morelli TL, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0159909
   Moritz C, 2013, SCIENCE, V341, P504, DOI 10.1126/science.1237190
   Ohlemüller R, 2008, BIOL LETTERS, V4, P568, DOI 10.1098/rsbl.2008.0097
   Ohlemüller R, 2006, GLOBAL ECOL BIOGEOGR, V15, P395, DOI 10.1111/j.1466-822X.2006.00245.x
   Ohlemüller R, 2012, GLOBAL ECOL BIOGEOGR, V21, P152, DOI 10.1111/j.1466-8238.2011.00674.x
   Patterson B., 2007, Digital Distribution Maps of the Mammals of the Western Hemisphere
   Roberts DR, 2012, ECOGRAPHY, V35, P792, DOI 10.1111/j.1600-0587.2011.07147.x
   Sandel B, 2011, SCIENCE, V334, P660, DOI 10.1126/science.1210173
   Stewart JR, 2010, P ROY SOC B-BIOL SCI, V277, P661, DOI 10.1098/rspb.2009.1272
   Stralberg D, 2018, GLOBAL ECOL BIOGEOGR, V27, P690, DOI 10.1111/geb.12731
   Stralberg D, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006825
   Sutherland GD, 2000, CONSERV ECOL, V4, DOI 10.5751/es-00184-040116
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Volodin EM, 2010, IZV ATMOS OCEAN PHY+, V46, P414, DOI 10.1134/S000143381004002X
   Wang TL, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0156720
   Watanabe M, 2010, J CLIMATE, V23, P6312, DOI 10.1175/2010JCLI3679.1
   Williams JW, 2007, FRONT ECOL ENVIRON, V5, P475, DOI 10.1890/070037
   Williams JW, 2007, P NATL ACAD SCI USA, V104, P5738, DOI 10.1073/pnas.0606292104
NR 47
TC 59
Z9 62
U1 8
U2 71
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0888-8892
EI 1523-1739
J9 CONSERV BIOL
JI Conserv. Biol.
PD DEC
PY 2018
VL 32
IS 6
BP 1414
EP 1425
DI 10.1111/cobi.13130
PG 12
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA GZ9XT
UT WOS:000449856900018
PM 29744936
OA hybrid
DA 2025-01-10
ER

PT J
AU Aryal, JP
   Jat, ML
   Sapkota, TB
   Khatri-Chhetri, A
   Kassie, M
   Rahut, DB
   Maharjan, S
AF Aryal, Jeetendra Prakash
   Jat, M. L.
   Sapkota, Tek B.
   Khatri-Chhetri, Arun
   Kassie, Menale
   Rahut, Dil Bahadur
   Maharjan, Sofina
TI Adoption of multiple climate-smart agricultural practices in the
   Gangetic plains of Bihar, India
SO INTERNATIONAL JOURNAL OF CLIMATE CHANGE STRATEGIES AND MANAGEMENT
LA English
DT Article
DE Climate change adaptation; Climate smart agricultural practices; Crop
   diversification; Minimum tillage; Site-specific nutrient management;
   Stress-tolerant seed varieties
ID ZERO-TILLAGE WHEAT; CONSERVATION AGRICULTURE; SOUTH-ASIA; CROP
   DIVERSIFICATION; ETHIOPIAN HIGHLANDS; FOOD SECURITY; MANAGEMENT;
   IMPACTS; SYSTEMS; SOIL
AB Purpose The adoption of climate-smart agricultural practices (CSAPs) is important for sustaining Indian agriculture in the face of climate change. Despite considerable effort by both national and international agricultural organizations to promote CSAPs in India, adoption of these practices is low. This study aims to examine the elements that affect the likelihood and intensity of adoption of multiple CSAPs in Bihar, India.
   Design/methodology/approach The probability and intensity of adoption of CSAPs are analyzed using multivariate and ordered probit models, respectively.
   Findings The results show significant correlations between multiple CSAPs, indicating that their adoptions are interrelated, providing opportunities to exploit the complementarities. The results confirm that both the probability and intensity of adoption of CSAPs are affected by numerous factors, such as demographic characteristics, farm plot features, access to market, socio-economics, climate risks, access to extension services and training. Farmers who perceive high temperature as the major climate risk factor are more likely to adopt crop diversification and minimum tillage. Farmers are less likely to adopt site-specific nutrient management if faced with short winters; however, they are more likely to adopt minimum tillage in this case. Training on agricultural issues is found to have a positive impact on the likelihood and the intensity of CSAPs adoption.
   Practical implications The major policy recommendations coming from of our results are to strengthen local institutions (public extension services, etc.) and to provide more training on CSAPs.
   Originality/value By applying multivariate and ordered probit models, this paper provides some insights on the long-standing discussions on whether farmers adopt CSAPs in a piecemeal or in a composite way.
C1 [Aryal, Jeetendra Prakash; Rahut, Dil Bahadur] Int Maize & Wheat Improvement Ctr CIMMYT, Socioecon Program, El Batan, Mexico.
   [Jat, M. L.; Maharjan, Sofina] Int Maize & Wheat Improvement Ctr CIMMYT, New Delhi, India.
   [Sapkota, Tek B.] Int Maize & Wheat Improvement Ctr CIMMYT, Sustainable Intensificat Program, New Delhi, India.
   [Khatri-Chhetri, Arun] BISA, CGIAR Res Program Climate Change Agr & Food Secur, New Delhi, India.
   [Kassie, Menale] ICIPE, Nairobi, Kenya.
C3 CGIAR; International Maize & Wheat Improvement Center (CIMMYT); CGIAR;
   International Maize & Wheat Improvement Center (CIMMYT); CGIAR;
   International Maize & Wheat Improvement Center (CIMMYT); CGIAR;
   International Centre of Insect Physiology & Ecology (ICIPE)
RP Rahut, DB (corresponding author), Int Maize & Wheat Improvement Ctr CIMMYT, Socioecon Program, El Batan, Mexico.
EM j.aryal@cgiar.org; M.Jat@cgiar.org; t.sapkota@cgiar.org;
   A.Khatri-Chhetri@cgiar.org; mkassie@icipe.org; dilbhutan@gmail.com;
   Sofina.MAHARJAN@cgiar.org
RI Rahut, Dil Bahadur/AAD-8370-2022; Kassie, Menale/ADT-2906-2022; Sapkota,
   Tek/AAC-3155-2020; Jat, ML/O-2824-2019; Rahut, Dil Bahadur/AES-0258-2022
OI , Menale Kassie/0000-0002-6754-2432; Pandey, Alok
   Kumar/0000-0001-5604-3243; Rahut, Dil Bahadur/0000-0002-7505-5271;
   Sapkota, Tek/0000-0001-5311-0586
FU CGIAR Research Program on Wheat Agri-Food Systems (CRP-WHEAT); CGIAR
   research program on Climate Change, Agriculture and Food Security
   (CCAFS)
FX The authors acknowledge the support of the CGIAR research program on
   Climate Change, Agriculture and Food Security (CCAFS) and CGIAR Research
   Program on Wheat Agri-Food Systems (CRP-WHEAT) for this study. They
   thank also to all field staff for their sincere efforts while collecting
   data in Bihar. Authors also sincerely thank Mr Amit Kumar Srivastava for
   his assistance in providing an excellent map of the study area. The
   views expressed here are those of the authors and do not necessarily
   reflect the views of the authors' institutions or CCAFS/CRP WHEAT. The
   usual disclaimer applies.
CR Aggarwal P., 2013, Climate-Smart Villages: a community approach to sustainable agricultural development
   Albert Steven M, 2012, Neurosci Neuroecon, V2012, DOI 10.2147/NAN.S27184
   [Anonymous], 2005, REGRESSION DIAGNOSTI
   [Anonymous], 2013, Sourcebook on Climate Smart Agriculture, Forestry and Fisheries
   [Anonymous], 2010, CLIM SMART AGR POL P
   [Anonymous], 2013, AGR FOOD SECUR, DOI DOI 10.1186/2048-7010-2-12
   [Anonymous], 1993, LISREL 8: Structural equation modeling with the SIMPLIS command language
   Aryal J.P., 2011, 18 ANN C EUR ASS ENV
   Aryal JP, 2013, LAND TENURE REFORM IN ASIA AND AFRICA: ASSESSING IMPACTS ON POVERTY AND NATURAL RESOURCE MANAGEMENT, P29
   Aryal JP, 2012, AGR ECON-BLACKWELL, V43, P593, DOI 10.1111/j.1574-0862.2012.00605.x
   Aryal JP, 2016, AGR ECOSYST ENVIRON, V233, P325, DOI 10.1016/j.agee.2016.09.013
   Aryal JP, 2015, EXP AGR, V51, P1, DOI 10.1017/S001447971400012X
   Aryal JP, 2014, Innovation in Indian Agriculture: Ways Forward
   Behera B, 2015, ENERGY, V85, P468, DOI 10.1016/j.energy.2015.03.059
   Belsley D. A., 1991, Computer Science in Economics and Management, V4, P33
   Birthal PS, 2015, AGR ECON-BLACKWELL, V46, P549, DOI 10.1111/agec.12181
   Bradshaw B, 2004, CLIMATIC CHANGE, V67, P119, DOI 10.1007/s10584-004-0710-z
   Chander P, 2004, J DEV ECON, V75, P79, DOI 10.1016/j.jdeveco.2003.07.006
   D'Souza G., 1993, Agricultural and Resource Economics Review, V22, P159
   DEJANVRY A, 1991, ECON J, V101, P1400, DOI 10.2307/2234892
   Doss C.R., 2003, Understanding Farm-Level Technology Adoption: Lessons Learned From Cimmyt'S Micro Surveys Eastern Africa
   Erenstein O, 2009, EXP AGR, V45, P133, DOI 10.1017/S0014479708007448
   Erenstem O, 2008, FIELD CROP RES, V105, P240, DOI 10.1016/j.fcr.2007.10.010
   FEDER G, 1993, TECHNOL FORECAST SOC, V43, P215, DOI 10.1016/0040-1625(93)90053-A
   Government of Bihar, 2012, STAT ACT PLAN CLIM C
   Greene W.H., 2003, J AM STAT ASS ED
   Holden S, 2001, J AGR ECON, V52, P53, DOI 10.1111/j.1477-9552.2001.tb00938.x
   Kassam A, 2009, INT J AGR SUSTAIN, V7, P292, DOI 10.3763/ijas.2009.0477
   Kassie M, 2015, J AGR ECON, V66, P640, DOI 10.1111/1477-9552.12099
   Kassie M, 2013, TECHNOL FORECAST SOC, V80, P525, DOI 10.1016/j.techfore.2012.08.007
   Kassie M, 2010, J AGR ECON, V61, P605, DOI 10.1111/j.1477-9552.2010.00263.x
   Khatri-Chhetri A., 2016, CURR SCI, V110, P1244
   Lal R, 2004, SCIENCE, V304, P1623, DOI 10.1126/science.1097396
   Lal R, 1997, SOIL TILL RES, V43, P81, DOI 10.1016/S0167-1987(97)00036-6
   LIEBMAN M, 1993, ECOL APPL, V3, P92, DOI 10.2307/1941795
   Lin BB, 2011, BIOSCIENCE, V61, P183, DOI 10.1525/bio.2011.61.3.4
   MUNDLAK Y, 1978, ECONOMETRICA, V46, P69, DOI 10.2307/1913646
   Pender JL, 1998, AGR ECON-BLACKWELL, V19, P113, DOI 10.1016/S0169-5150(98)00026-7
   Pingali PL, 2012, P NATL ACAD SCI USA, V109, P12302, DOI 10.1073/pnas.0912953109
   Rao NH, 2007, TECHNOL FORECAST SOC, V74, P491, DOI 10.1016/j.techfore.2006.02.002
   Sapkota TB, 2015, J INTEGR AGR, V14, P1524, DOI 10.1016/S2095-3119(15)61093-0
   Sapkota TB, 2014, FIELD CROP RES, V155, P233, DOI 10.1016/j.fcr.2013.09.001
   Sarkar RK, 2006, CURR SCI INDIA, V91, P899
   Sehgal V.K., 2013, Vulnerability of Agriculture to Climate Change: District Level Assessment in the Indo-Gangetic Plains
   Shiferaw B., 2012, 3 INT AGR C NEW DELH
   Singh RB, 2000, AGR ECOSYST ENVIRON, V82, P97, DOI 10.1016/S0167-8809(00)00219-X
   Teklewold H, 2013, J AGR ECON, V64, P597, DOI 10.1111/1477-9552.12011
   Wollni M, 2010, AGR ECON-BLACKWELL, V41, P373, DOI 10.1111/j.1574-0862.2010.00445.x
   Wu JJ, 1998, AM J AGR ECON, V80, P494, DOI 10.2307/1244552
   Yamano T., 2015, Journal of Social and Economic Development, V17, P260, DOI 10.1007/s40847-015-0008-1
   Yu L, 2012, ECON LETT, V116, P354, DOI 10.1016/j.econlet.2012.03.023
NR 51
TC 109
Z9 115
U1 0
U2 32
PU EMERALD GROUP PUBLISHING LTD
PI BINGLEY
PA HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND
SN 1756-8692
EI 1756-8706
J9 INT J CLIM CHANG STR
JI Int. J. Clim. Chang. Strateg. Manag.
PY 2018
VL 10
IS 3
BP 407
EP 427
DI 10.1108/IJCCSM-02-2017-0025
PG 21
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA GD0LE
UT WOS:000430191500005
OA gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Olsson, L
   Jerneck, A
AF Olsson, Lennart
   Jerneck, Anne
TI Social fields and natural systems: integrating knowledge about society
   and nature
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE knowledge integration; methodology; social theory; sustainability
ID RESILIENCE THINKING; ECOLOGICAL SYSTEMS; CLIMATE-CHANGE; ECOSYSTEM
   SERVICES; SUSTAINABILITY; SCIENCE; ADAPTATION; NEOLIBERALISM;
   ENVIRONMENT; DISCOURSES
AB Sustainability science is a wide and integrative scientific field. It embraces both complementary and contradictory approaches and perspectives for dealing with newer sustainability challenges in the context of old and persistent social problems. In this article we suggest a combined approach called social fields and natural systems. It builds on field theory and systems thinking and can assist sustainability scientists and others in integrating the best available knowledge from the natural sciences with that from the social sciences. The approach is preferable, we argue, to the various scientific efforts to integrate theories and frameworks that are rooted in incompatible ontologies and epistemologies. In that respect, this article is a critique of approaches that take the integration of the social and natural sciences for granted. At the same time it is an attempt to build a promising alternative. The theoretical and methodological pluralism that we suggest here, holistic pluralism, is one way to overcome incommensurability between the natural and the social sciences while avoiding functionalism, technological and environmental determinism, and over-reliance on rational choice theory. In addition, it is a basis for generating better understandings and problem solving capacity for sustainability challenges.
   We make three contributions. First, we identify important reasons for the incommensurability between the social and natural sciences, and propose remedies for overcoming some of the difficulties in integrative research. Second, we show how sustainability science will benefit from drawing more deeply on-and thus more adequately incorporate-social science understandings of society and the social, including field theory. Third, we illustrate the suggested approach of social fields and natural systems in two examples that are highly relevant for both sustainability science and sustainability itself, one on climate change adaptation and one on geoengineering.
C1 [Olsson, Lennart; Jerneck, Anne] Lund Univ, Ctr Sustainabil Studies, LUCSUS, Lund, Sweden.
C3 Lund University
RP Olsson, L (corresponding author), Lund Univ, Ctr Sustainabil Studies, LUCSUS, Lund, Sweden.
FU Swedish Research Council Formas through the Linnaeus grants: Lund
   University Centre of Excellence for integration of Social and Natural
   Dimensions of Sustainability (LUCID) [259-2008-1718]
FX This research was undertaken within the interdisciplinary LUCID project
   (2008-2018) funded by the Swedish Research Council Formas through the
   Linnaeus grants: Lund University Centre of Excellence for integration of
   Social and Natural Dimensions of Sustainability (LUCID) (259-2008-1718).
   We are grateful to LUCID colleagues who commented on early ideas
   developed in this article and to those who commented on previous
   versions of this manuscript, in particular we would like to thank Yahia
   Mahmoud, Johannes Persson, and Henrik Thoren. We also appreciate the
   positive, constructive, and inspiring critique from two anonymous
   reviewers.
CR Agardy T, 2003, AQUAT CONSERV, V13, P353, DOI 10.1002/aqc.583
   AGRAWAL A, 1995, DEV CHANGE, V26, P413, DOI 10.1111/j.1467-7660.1995.tb00560.x
   Allwood J.M., 2014, CLIMATE CHANGE 2014
   Anderies JM, 2004, ECOL SOC, V9
   Anderson B, 2015, POLITICS-OXFORD, V35, P60, DOI 10.1111/1467-9256.12079
   [Anonymous], HUMAN NATURE LIMITS
   [Anonymous], 2005, Anthropological Theory, DOI DOI 10.1177/1463499605059231
   [Anonymous], 2000, Linking social and ecological systems: management practices and social mechanisms for building resilience
   [Anonymous], 2014, THESIS
   [Anonymous], 1998, Taking complexity seriously: policy analysis, triangulation and sustainable development, DOI DOI 10.1007/978-1-4615-5497-4
   [Anonymous], POLITICAL ANAL CRITI
   [Anonymous], 2012, RESILIENCE NEW UTOPI
   [Anonymous], QUANTITATIVE FISHERI
   [Anonymous], 1998, INTRO TROPICAL FIS 1
   [Anonymous], PLOS ONE
   [Anonymous], 2018, ADDING FUEL FIRE N S
   [Anonymous], J APPL PHILOS
   [Anonymous], 2004, Methods of discovery: Heuristics for the social sciences
   [Anonymous], 1966, SYMB INTERACT
   [Anonymous], 1997, WALL STREET J
   [Anonymous], GLOB WARM SKEPT ORG
   [Anonymous], 2011, LABOUR MIGRATION RES
   [Anonymous], 2012, SPECIAL REPORT WORKI
   [Anonymous], CLIMATE CHANGE 2014
   [Anonymous], 2009, ANAL CLIMATE ENG RES
   [Anonymous], THE PAR AGR
   [Anonymous], PENN STATE LAW RES P
   [Anonymous], RES SOLAR RAD MANAGE
   [Anonymous], MONTREAL PROTOCOL CE
   [Anonymous], THESIS
   [Anonymous], BOUNDARIES HUMANITY
   [Anonymous], HDB NEOLIBERALISM
   [Anonymous], 1983, RISK CULTURE ESSAY S
   Baker A., 2022, Simplicity', The Stanford Encyclopedia of Philosophy
   Boda C.S., 2018, The beach beneath the road: Sustainable coastal development beyond governance and economics
   Bourdieu Pierre., 1977, CAMBRIDGE STUDIES SO, DOI [10.1017/CBO9780511812507, DOI 10.1017/CBO9780511812507]
   Bourdieu Pierre, 1984, Distinction: A Social Critique of the Judgement of Taste
   Brown K, 2014, PROG HUM GEOG, V38, P107, DOI [10.1177/0309132513498837, 10.1177/0361684313496549]
   Burawoy M, 2009, EXTENDED CASE METHOD: FOUR COUNTRIES, FOUR DECADES, FOUR GREAT TRANSFORMATIONS, AND ONE THEORETICAL TRADITION, P1
   Carolan M.S., 2005, Human Ecology Review, V12, P1
   Carolan MS, 2005, RURAL SOCIOL, V70, P387, DOI 10.1526/0036011054831233
   Chandler D, 2014, RESILIENCE, V2, P47, DOI 10.1080/21693293.2013.878544
   Cherry M.A., 2011, Tulane Law Review, V85, P983, DOI DOI 10.2139/SSRN.1670149
   Christmann P, 2000, ACAD MANAGE J, V43, P663, DOI 10.5465/1556360
   Clarke S., 2009, International Studies in the Philosophy of Science, V23, P195, DOI DOI 10.1080/02698590903007170
   Cole M, 2011, MAR POLLUT BULL, V62, P2588, DOI 10.1016/j.marpolbul.2011.09.025
   Collins R., 2004, Interaction ritual chains, DOI [10.1515/9781400851744, DOI 10.1515/9781400851744]
   Cooper M., 2011, J CULTURAL EC, V4, P371, DOI DOI 10.1080/17530350.2011.609692
   Cote M, 2012, PROG HUM GEOG, V36, P475, DOI 10.1177/0309132511425708
   Cox RW, 2013, RELAC INT-MADR, P129
   Cretney R, 2014, RESILIENCE, V2, P18, DOI 10.1080/21693293.2013.872449
   Crutzen PJ, 2006, CLIMATIC CHANGE, V77, P211, DOI 10.1007/s10584-006-9101-y
   Cumming GS, 2006, ECOL SOC, V11
   d'Albergo E, 2017, PARTECIP CONFL, V10, P381, DOI 10.1285/i20356609v10i2p381
   DESSLER D, 1989, INT ORGAN, V43, P441, DOI 10.1017/S0020818300032999
   Devi GK, 2015, AQUAT PR, V4, P1001, DOI 10.1016/j.aqpro.2015.02.126
   DIMAGGIO PJ, 1983, AM SOCIOL REV, V48, P147, DOI 10.2307/2095101
   Dupre J., 1994, Proceedings of the Biennial Meeting of the Philosophy of Science Association, V1994, P374, DOI DOI 10.1086/PSAPROCBIENMEETP.1994.2.192948
   Fainstein S, 2015, INT J URBAN REGIONAL, V39, P157, DOI 10.1111/1468-2427.12186
   Faran TS, 2018, INT ENVIRON AGREEM-P, V18, P63, DOI 10.1007/s10784-017-9383-8
   Fligstein Neil., 2012, A Theory of Fields, DOI DOI 10.1093/ACPROF:OSO/9780199859948.001.0001
   Friedrichs J, 2011, FUTURES, V43, P469, DOI 10.1016/j.futures.2010.12.004
   Gamson WilliamA., 1975, The Strategy of Social Protest
   Geels FW, 2016, NAT CLIM CHANGE, V6, P576, DOI 10.1038/NCLIMATE2980
   Giddens Anthony., 1979, Central Problems in Social Theory: Action, Structure, and Contradiction in Social Analysis, V241
   Gioli G, 2014, MT RES DEV, V34, P255, DOI 10.1659/MRD-JOURNAL-D-13-00089.1
   Goldring L, 1998, COMP URB C, V6, P165
   Guerry AD, 2015, P NATL ACAD SCI USA, V112, P7348, DOI 10.1073/pnas.1503751112
   Hatt K, 2013, SOC NATUR RESOUR, V26, P30, DOI 10.1080/08941920.2012.695859
   Hilborn R, 2018, ICES J MAR SCI, V75, P1160, DOI 10.1093/icesjms/fsx068
   Holling CS, 2001, ECOSYSTEMS, V4, P390, DOI 10.1007/s10021-001-0101-5
   Horton JoshuaB., 2016, IMPLICATIONS PARIS A
   Howard Sankey., 2000, SCI EDUC, V9, P59
   Immerzeel WW, 2010, SCIENCE, V328, P1382, DOI 10.1126/science.1183188
   Ionesco D., 2016, ATLAS ENV MIGRATION
   Isgren E, 2017, CHALL SUSTAIN, V5, P2, DOI 10.12924/cis2017.05010002
   Jerneck A, 2008, CLIM POLICY, V8, P170, DOI 10.3763/cpol.2007.0434
   Jerneck A, 2011, ENVIRON INNOV SOC TR, V1, P255, DOI 10.1016/j.eist.2011.10.005
   Jerneck A, 2011, SUSTAIN SCI, V6, P69, DOI 10.1007/s11625-010-0117-x
   Jones P., 2011, Introducing social theory
   Joseph J, 2013, RESILIENCE, V1, P38, DOI 10.1080/21693293.2013.765741
   KAHNEMAN D, 1979, ECONOMETRICA, V47, P263, DOI 10.2307/1914185
   Kalfagianni Agni, 2015, HDB GLOBALISATION AG, P274, DOI DOI 10.4337/9780857939838
   Kauffman J, 2014, SUSTAIN SCI, V9, P413, DOI 10.1007/s11625-014-0259-3
   Khan B, 2011, ARAB J GEOSCI, V4, P115, DOI 10.1007/s12517-009-0110-9
   Levitt P, 2004, INT MIGR REV, V38, P1002, DOI 10.1111/j.1747-7379.2004.tb00227.x
   Lubchenco J, 2015, SCIENCE, V350, P382, DOI 10.1126/science.aad5443
   LUDWIG D, 1993, SCIENCE, V260, P17, DOI 10.1126/science.260.5104.17
   Mäki U, 2013, INT STUD PHILOS SCI, V27, P325, DOI 10.1080/02698595.2013.825496
   Mäki U, 2009, PHILOS SOC SCI, V39, P351, DOI 10.1177/0048393108319023
   Mann Michael., 1986, SOURCES SOCIAL POWER, V1
   Mann ME, 2017, SCI REP-UK, V7, DOI 10.1038/srep45242
   Marshall KN, 2017, GLOBAL CHANGE BIOL, V23, P1525, DOI 10.1111/gcb.13594
   Martin JL, 2003, AM J SOCIOL, V109, P1, DOI 10.1086/375201
   Mckeown A, 2018, REV INT STUD, V44, P193, DOI 10.1017/S0260210517000493
   Meadowcroft J, 2011, ENVIRON INNOV SOC TR, V1, P70, DOI 10.1016/j.eist.2011.02.003
   Mitchell SD., 2009, Unsimple Truths: Science, Complexity and Policy, DOI [10.7208/chicago/9780226532653.001.0001, DOI 10.7208/CHICAGO/9780226532653.001.0001]
   Mulvey K., 2015, The climate deception dossiers: internal fossil fuel industry memos reveal decades of corporate disinformation
   Newton AC, 2016, CONSERV LETT, V9, P369, DOI 10.1111/conl.12227
   Norgaard R.B., 1989, ECOL ECON, V1, P37
   Norgaard R.B., 1994, Development betrayed: the end of progress and a co-evolutionary revisioning of the future
   Olsen W., 2004, Developments in Sociology, P1
   Olsson L, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1400217
   Olsson L, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P793
   Österblom H, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0127533
   Ostrom E, 2009, SCIENCE, V325, P419, DOI 10.1126/science.1172133
   Parsons M, 2017, CHALL SUSTAIN, V5, P7, DOI 10.12924/cis2017.05010007
   Pauly D, 2013, NATURE, V494, P303, DOI 10.1038/494303a
   PETERSON RW, 1979, BIOSCIENCE, V29, P399, DOI 10.1093/bioscience/29.7.399
   Rajbhandari R, 2015, CLIM DYNAM, V44, P339, DOI 10.1007/s00382-014-2183-8
   Reiss H, 2009, FISH FISH, V10, P361, DOI 10.1111/j.1467-2979.2008.00324.x
   Rogelj J, 2016, NATURE, V534, P631, DOI 10.1038/nature18307
   Rogelj J, 2015, NAT CLIM CHANGE, V5, P519, DOI 10.1038/nclimate2572
   Rosa E., 1998, J RISK RES, V1, P15, DOI DOI 10.1080/136698798377303
   Sala S, 2013, INT J LIFE CYCLE ASS, V18, P1686, DOI 10.1007/s11367-012-0509-5
   SCHILLER NG, 1992, ANN NY ACAD SCI, V645, pR9
   Schleussner CF, 2016, NAT CLIM CHANGE, V6, P827, DOI 10.1038/NCLIMATE3096
   Schlüter M, 2012, NAT RESOUR MODEL, V25, P219, DOI 10.1111/j.1939-7445.2011.00108.x
   Schmidt VA, 2008, ANNU REV POLIT SCI, V11, P303, DOI 10.1146/annurev.polisci.11.060606.135342
   Schneider SH, 2001, NATURE, V409, P417, DOI 10.1038/35053203
   Secor D.H., 2014, Stock Identification Methods: Applications in Fishery Science, V2nd, P7, DOI DOI 10.1016/B978-0-12-397003-9.00002-3
   Shepherd J. G., 2009, GEOENG CLIM SCI GOV
   Thaler RH, 2016, AM ECON REV, V106, P1577, DOI 10.1257/aer.106.7.1577
   Thomasson A., 2016, Stanford Encyclopedia of Philosophy
   Tierney K, 2015, AM BEHAV SCI, V59, P1327, DOI 10.1177/0002764215591187
   van de Pas R, 2017, HEALTH POLICY PLANN, V32, P88, DOI 10.1093/heapol/czx110
   Vaughan NE, 2011, CLIMATIC CHANGE, V109, P745, DOI 10.1007/s10584-011-0027-7
   Verweij M, 2006, PUBLIC ADMIN, V84, P817, DOI 10.1111/j.1540-8159.2005.09566.x-i1
   Walker B, 2004, ECOL SOC, V9
   Walker B, 2006, ECOL SOC, V11
   Walsh JR, 2016, P NATL ACAD SCI USA, V113, P4081, DOI 10.1073/pnas.1600366113
   Wellstead A, 2017, CRIT POLICY STUD, V11, P391, DOI 10.1080/19460171.2016.1166972
NR 132
TC 25
Z9 28
U1 0
U2 16
PU Resilience Alliance
PI Dedham
PA 231 Bussey St., Beckwith and Brown, Dedham, Massachusetts, UNITED STATES
SN 1708-3087
J9 ECOL SOC
JI Ecol. Soc.
PY 2018
VL 23
IS 3
AR 26
DI 10.5751/ES-10333-230326
PG 18
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA GV7PN
UT WOS:000446321000036
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Matchett, EL
   Fleskes, JP
AF Matchett, Elliott L.
   Fleskes, Joseph P.
TI Projected Impacts of Climate, Urbanization, Water Management, and
   Wetland Restoration on Waterbird Habitat in California's Central Valley
SO PLOS ONE
LA English
DT Article
ID SACRAMENTO-VALLEY; PRIORITY-DRIVEN; DEMAND-DRIVEN; UNITED-STATES; TULARE
   BASIN; RICE FIELDS; LAND-USE; MODEL; RESOURCES; PINTAILS
AB The Central Valley of California is one of the most important regions for wintering waterbirds in North America despite extensive anthropogenic landscape modification and decline of historical wetlands there. Like many other mediterranean-climate ecosystems across the globe, the Central Valley has been subject to a burgeoning human population and expansion and intensification of agricultural and urban development that have impacted wildlife habitats. Future effects of urban development, changes in water supply management, and precipitation and air temperature related to global climate change on area of waterbird habitat in the Central Valley are uncertain, yet potentially substantial. Therefore, we modeled area of waterbird habitats for 17 climate, urbanization, water supply management, and wetland restoration scenarios for years 2006-2099 using a water resources and scenario modeling framework. Planned wetland restoration largely compensated for adverse effects of climate, urbanization, and water supply management changes on habitat areas through 2065, but fell short thereafter for all except one scenario. Projected habitat reductions due to climate models were more frequent and greater than under the recent historical climate and their magnitude increased through time. After 2065, area of waterbird habitat in all scenarios that included severe warmer, drier climate was projected to be >15% less than in the "existing" landscape most years. The greatest reduction in waterbird habitat occurred in scenarios that combined warmer, drier climate and plausible water supply management options affecting priority and delivery of water available for waterbird habitats. This scenario modeling addresses the complexity and uncertainties in the Central Valley landscape, use and management of related water supplies, and climate to inform waterbird habitat conservation and other resource management planning. Results indicate that increased wetland restoration and additional conservation and climate change adaptation strategies may be warranted to maintain habitat adequate to support waterbirds in the Central Valley.
C1 [Matchett, Elliott L.; Fleskes, Joseph P.] US Geol Survey, Western Ecol Res Ctr, Dixon, CA 95620 USA.
C3 United States Department of the Interior; United States Geological
   Survey
RP Matchett, EL (corresponding author), US Geol Survey, Western Ecol Res Ctr, Dixon, CA 95620 USA.
EM ematchett@usgs.gov
OI , Elliott Matchett/0000-0001-5095-2884
FU California Landscape Conservation Cooperative, Central Valley Joint
   Venture, U.S. Fish and Wildlife Service [80250-A-H100]; Delta Waterfowl
   Foundation [2671]; California Department of Fish and Wildlife; U.S.
   Geological Survey-Western Ecological Research Center
FX The California Landscape Conservation Cooperative, Central Valley Joint
   Venture, U.S. Fish and Wildlife Service (URLs:
   http://californialcc.org/, http://www.centralvalleyjointrenture.org/,
   http://fws.gov/; grant number 80250-A-H100; funding acquired by JPF),
   Delta Waterfowl Foundation (URL: littp://www.deltawaterfowl.org/; grant
   number 2671; funding acquired by JPF), California Department of Fish and
   Wildlife (URL: https://www.wildlife.ca.gov/), and U.S. Geological
   Survey-Western Ecological Research Center (URL:
   https://www.werc.usgs.gov/) provided funding or in-kind support for this
   project. The funders had no role in study design, data collection and
   analysis, decision to publish, or preparation of the manuscript.
CR [Anonymous], BAY DELT CONS PLAN C
   [Anonymous], 2013, THESIS
   [Anonymous], CAL STAT WAT PROJ CE
   [Anonymous], BAY DELT CONS PLAR P
   [Anonymous], USITC PUBL
   [Anonymous], LAND US SCEN NAT SCA
   [Anonymous], CENTR VALL PROJ ST 1
   [Anonymous], CALIFORNIA ENERGY CO
   [Anonymous], EL WAT RIGHTS INF MA
   [Anonymous], 2005, STAT GREAT CENTR VAL
   [Anonymous], LANDSCAPE DISTURBANC
   [Anonymous], TECHNICAL REPORT
   [Anonymous], 2015, AGR RESOUR EC UPDATE
   [Anonymous], 2015, THESIS
   [Anonymous], WD8354260010 US ENV
   [Anonymous], 2010, Integrated Scenario Analysis for the 2009 California Water Plan Update [Internet]
   [Anonymous], CAL GROUNDW UPD 2013
   [Anonymous], WHIT HOUS NDRP DROUG
   [Anonymous], STAT WETL PROT STAT
   [Anonymous], 7 N AM DUCK S 2016 F
   [Anonymous], LAND US SURV DAT
   [Anonymous], 2000, REV WAT RIGHT DEC 16
   [Anonymous], 2011, Managing California's water: From conflict to reconciliation
   [Anonymous], J FISH WILD IN PRESS
   [Anonymous], CENTR VALL PROJ CVP
   [Anonymous], 2013, Downscaled CMIP3 and CMIP5 climate projections: Release of downscaled CMIP5 climate projections, comparison with preceding information, and summary of user needs
   [Anonymous], CENTR VALL WETL WAT
   [Anonymous], 2006, CENTR VALL JOINT VEN
   [Anonymous], 2002, Thesis
   [Anonymous], 7 N AM DUCK S 2016 F
   [Anonymous], 2007, HEALDSB RES SEM MEG
   [Anonymous], CAL WAT PLAN UPD
   [Anonymous], 20151017 US GEOL SUR
   [Anonymous], BAY AREA NEWS G 0310
   [Anonymous], 2003, SO PACIFIC SHOREBIRD
   [Anonymous], CAL CROP STAT
   Bird JA, 2000, J APPL ECOL, V37, P728, DOI 10.1046/j.1365-2664.2000.00539.x
   Buler JJ, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0041571
   Byrd KB, 2015, LANDSCAPE ECOL, V30, P729, DOI 10.1007/s10980-015-0159-7
   Cayan DR, 2008, CLIMATIC CHANGE, V87, pS21, DOI 10.1007/s10584-007-9377-6
   CONROY MJ, 1989, J WILDLIFE MANAGE, V53, P99, DOI 10.2307/3801314
   Cook BI, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1400082
   Delworth TL, 2006, J CLIMATE, V19, P643, DOI 10.1175/JCLI3629.1
   Diffenbaugh NS, 2015, P NATL ACAD SCI USA, V112, P3931, DOI 10.1073/pnas.1422385112
   Elphick CS, 2010, WATERBIRDS, V33, P181, DOI 10.1675/063.033.s114
   Fleskes JP, 2016, J WILDLIFE MANAGE, V80, P679, DOI 10.1002/jwmg.1053
   Fleskes JP, 2013, J FISH WILDL MANAG, V4, P351, DOI 10.3996/022013-JFWM-012
   Fleskes JP, 2012, WETLAND HABITATS OF NORTH AMERICA: ECOLOGY AND CONSERVATION CONCERNS, P357
   Fleskes JP, 2012, J FISH WILDL MANAG, V3, P266, DOI 10.3996/022012-JFWM-014
   Fleskes JP, 2005, CALIF FISH GAME, V91, P207
   Fleskes JP, 2003, WILDLIFE SOC B, V31, P793
   GILMER DS, 1982, T N AM WILDL NAT RES, V47, P441
   Gleick PH, 1999, J AM WATER RESOUR AS, V35, P1429, DOI 10.1111/j.1752-1688.1999.tb04227.x
   Hayhoe K, 2004, P NATL ACAD SCI USA, V101, P12422, DOI 10.1073/pnas.0404500101
   Jongsomjit D, 2013, LANDSCAPE ECOL, V28, P187, DOI 10.1007/s10980-012-9825-1
   Joyce BA, 2011, CLIMATIC CHANGE, V109, P299, DOI 10.1007/s10584-011-0335-y
   McCabe GJ, 2010, CLIMATIC CHANGE, V99, P141, DOI 10.1007/s10584-009-9675-2
   Meehl GA, 2007, B AM METEOROL SOC, V88, P1383, DOI 10.1175/BAMS-88-9-1383
   Miller MR, 2010, WETLANDS, V30, P939, DOI 10.1007/s13157-010-0090-2
   MILLER MR, 1986, J WILDLIFE MANAGE, V50, P189, DOI 10.2307/3801895
   Nakicenvoic N., 2000, Special report on emissions scenarios: A special report of working group iii of the intergovernmental panel on climate change
   Osnas EE, 2016, J WILDLIFE MANAGE, V80, P1227, DOI 10.1002/jwmg.21124
   Pernollet CA, 2015, AGR ECOSYST ENVIRON, V214, P118, DOI 10.1016/j.agee.2015.08.018
   Pröbstl-Haider U, 2016, ENVIRON MANAGE, V58, P446, DOI 10.1007/s00267-016-0720-4
   Radeloff VC, 2012, ECOL APPL, V22, P1036, DOI 10.1890/11-0306.1
   Radeloff VC, 2010, P NATL ACAD SCI USA, V107, P940, DOI 10.1073/pnas.0911131107
   RAVELING DG, 1989, J WILDLIFE MANAGE, V53, P1088, DOI 10.2307/3809615
   Reiter ME, 2015, J AM WATER RESOUR AS, V51, P1722, DOI 10.1111/1752-1688.12353
   Shuford WD, 1998, CONDOR, V100, P227, DOI 10.2307/1370264
   Stouffer RJ, 2006, J CLIMATE, V19, P723, DOI 10.1175/JCLI3632.1
   Washington WM, 2000, CLIM DYNAM, V16, P755, DOI 10.1007/s003820000079
   Welch AH., 2006, San Francisco Estuary Watershed Sci, V4, P1
   Yates D, 2005, WATER INT, V30, P501, DOI 10.1080/02508060508691894
   Yates D, 2005, WATER INT, V30, P487, DOI 10.1080/02508060508691893
   Yates D, 2009, J WATER RES PLAN MAN, V135, P303, DOI 10.1061/(ASCE)0733-9496(2009)135:5(303)
   Young CA, 2009, J AM WATER RESOUR AS, V45, P1409, DOI 10.1111/j.1752-1688.2009.00375.x
NR 76
TC 23
Z9 28
U1 1
U2 85
PU PUBLIC LIBRARY SCIENCE
PI SAN FRANCISCO
PA 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA
SN 1932-6203
J9 PLOS ONE
JI PLoS One
PD JAN 9
PY 2017
VL 12
IS 1
AR e0169780
DI 10.1371/journal.pone.0169780
PG 23
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA EH5WO
UT WOS:000391843900068
PM 28068411
OA Green Submitted, Green Published, gold
DA 2025-01-10
ER

PT J
AU Hofstede, JLA
AF Hofstede, Jacobus L. A.
TI Theoretical considerations on how Wadden Sea tidal basins may react to
   accelerated sea level rise
SO ZEITSCHRIFT FUR GEOMORPHOLOGIE
LA English
DT Article
DE Wadden Sea; coastal geomorphology; sea level rise; climate change
   adaptation
AB Accelerated sea level rise (SLR) constitutes one of the main consequences of anthropogenic climate change. This may have serious implications for structure and functions of Wadden Sea tidal basins. If the rate of SLR becomes higher than sediment accumulation rates on the inter-tidal flats, they start to submerge. Drowning of these flats has negative consequences from a nature conservation viewpoint as well as for coastal flood risk management. Hence, anticipation measures may become expedient. Knowledge about the drowning processes and pathways supports the development, timing and localization of sustainable adaptation measures in the Wadden Sea.
   Based upon a description of hydro-morphological steady states in Wadden Sea tidal basins and a discussion of possible drowning processes and pathways, some general hypotheses and conclusions are formulated. Drowning of inter-tidal flats may generally start from the sea and continue in a landward direction. Smaller sub-basins in the inner parts of the basin may have a higher adaptive capacity to SLR than the more central and seaward parts of the tidal basin. Larger mean tidal range (MTR) as well as increasing tidal range may improve the capacity of tidal basins to balance SLR. In consequence, the process of drowning will probably start earlier and proceed faster in basins with lower MTR as in basins with higher MTR. As a (final) consequence of drowning of the inter-tidal flats, sub-tidal channels may, with the exception of the tidal inlet channels, progressively silt up. Although SLR-rates in the early Holocene were (at least) as high as those predicted for the end of this century, the early Holocene development in the former Wadden Sea area cannot be used for morphological projections. In an outlook, sand replenishment, dike-relocation (under specific conditions) and brushwood groin fields are mentioned as possible sustainable measures to increase the resilience of the Wadden Sea to SLR.
C1 Minist Energiewende, Umwelt & Landl Riume Landes Schleswig Holstein, D-24106 Kiel, Germany.
RP Hofstede, JLA (corresponding author), Minist Energiewende, Umwelt & Landl Riume Landes Schleswig Holstein, Mercatorstr 3, D-24106 Kiel, Germany.
EM Jacobus.hofstede@melur.landsh.de
CR [Anonymous], WADD SEA EC
   [Anonymous], 2013, CONTRIBUTION WORKING
   Biegel E. J., 1992, ISOS2 RIJKSW DIENST
   de Ronde JG, 1987, KUSTE, P123
   de Winter RC, 2013, J GEOPHYS RES-ATMOS, V118, P1601, DOI 10.1002/jgrd.50147
   Dissanayake DMPK, 2012, CLIMATIC CHANGE, V113, P253, DOI 10.1007/s10584-012-0402-z
   Eysink W.D., 1992, ISOS2 RIJKSW DIENST
   GOHREN H, 1968, MITT FRANZIUS I TU H, V30, P142
   Hofstede J, 2002, Z GEOMORPHOL, V46, P93
   Hofstede J, 2005, OXFORD REGIONAL ENV, P185
   Hofstede JLA, 2003, WETL ECOL MANAG, V11, P183, DOI 10.1023/A:1024248127037
   Hofstede JLA, 2006, Z GEOMORPHOL, V50, P193
   Jelgersma S., 1979, QUATERNARY HIST N SE, V2, P233
   Klimzug-Nord Verbund, 2014, KURSB KLIM HANDL MET
   Oost A.P, 1995, GEOL ULTRAIECTINA, V126, P1
   Sha L.P, 1990, GEOL ULTRIECTIN, V64, P1
   Spiegel F., 1997, Die Kuste, V59, P115
   Van Straaten L.M.J.U., 1957, GEOL MIJNB, V19, P329
   Vos PC, 2000, CONT SHELF RES, V20, P1687, DOI 10.1016/S0278-4343(00)00043-1
   Wahl T, 2013, EARTH-SCI REV, V124, P51, DOI 10.1016/j.earscirev.2013.05.003
   Wang ZB, 2014, P 17 PHYS EST COAST
NR 21
TC 8
Z9 8
U1 0
U2 17
PU GEBRUDER BORNTRAEGER
PI STUTTGART
PA JOHANNESSTR 3A, D-70176 STUTTGART, GERMANY
SN 0372-8854
J9 Z GEOMORPHOL
JI Z. Geomorphol.
PD SEP
PY 2015
VL 59
IS 3
BP 377
EP 391
DI 10.1127/zfg/2014/0163
PG 15
WC Geography, Physical; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Physical Geography; Geology
GA CR5WY
UT WOS:000361416300007
DA 2025-01-10
ER

PT J
AU Byrd, KB
   Flint, LE
   Alvarez, P
   Casey, CF
   Sleeter, BM
   Soulard, CE
   Flint, AL
   Sohl, TL
AF Byrd, Kristin B.
   Flint, Lorraine E.
   Alvarez, Pelayo
   Casey, Clyde F.
   Sleeter, Benjamin M.
   Soulard, Christopher E.
   Flint, Alan L.
   Sohl, Terry L.
TI Integrated climate and land use change scenarios for California
   rangeland ecosystem services: wildlife habitat, soil carbon, and water
   supply
SO LANDSCAPE ECOLOGY
LA English
DT Article
DE Rangeland; Ecosystem services; Land use/land cover change scenarios;
   Downscaled global climate models; Water supply; Soil carbon; Grassland;
   Climate change adaptation
ID CONTERMINOUS UNITED-STATES; COVER CHANGE; GRASSLAND; STRATEGY; IMPACT;
   POOLS; SEQUESTRATION; PRECIPITATION; COMPLETION; SUPPORT
AB Context In addition to biodiversity conservation, California rangelands generate multiple ecosystem services including livestock production, drinking and irrigation water, and carbon sequestration. California rangeland ecosystems have experienced substantial conversion to residential land use and more intensive agriculture.
   Objectives To understand the potential impacts to rangeland ecosystem services, we developed six spatially explicit (250 m) climate/land use change scenarios for the Central Valley of California and surrounding foothills consistent with three Intergovernmental Panel on Climate Change emission scenario narratives.
   Methods We quantified baseline and projected change in wildlife habitat, soil organic carbon (SOC), and water supply (recharge and runoff). For six case study watersheds we quantified the interactions of future development and changing climate on recharge, runoff and streamflow, and precipitation thresholds where dominant watershed hydrological processes shift through analysis of covariance.
   Results The scenarios show that across the region, habitat loss is expected to occur predominantly in grasslands, primarily due to future development (up to a 37 % decline by 2100), however habitat loss in priority conservation errors will likely be due to cropland and hay/pasture expansion (up to 40 % by 2100). Grasslands in the region contain approximately 100 teragrams SOC in the top 20 cm, and up to 39% of this SOC is subject to conversion by 2100. In dryer periods recharge processes typically dominate runoff. Future development lowers the precipitation value at which recharge processes dominate runoff, and combined with periods of drought, reduces the opportunity for recharge, especially on deep soils.
   Conclusion Results support the need for climate-smart land use planning that takes recharge areas into account, which will provide opportunities for water storage in dry years. Given projections for agriculture, more modeling is needed on feedbacks between agricultural expansion on rangelands and water supply.
C1 [Byrd, Kristin B.; Sleeter, Benjamin M.; Soulard, Christopher E.] US Geol Survey, Western Geog Sci Ctr, Menlo Pk, CA 94025 USA.
   [Flint, Lorraine E.; Flint, Alan L.] US Geol Survey, Calif Water Sci Ctr, Sacramento, CA 95819 USA.
   [Alvarez, Pelayo] Calif Rangeland Conservat Coalit Defenders Wildli, Davis, CA 95617 USA.
   [Casey, Clyde F.] US Geol Survey, Sci & Decis Ctr, Reston, VA 20192 USA.
   [Sohl, Terry L.] US Geol Survey, EROS Data Ctr, Sioux Falls, SD 57198 USA.
C3 United States Department of the Interior; United States Geological
   Survey; United States Department of the Interior; United States
   Geological Survey; United States Department of the Interior; United
   States Geological Survey; United States Department of the Interior;
   United States Geological Survey
RP Byrd, KB (corresponding author), US Geol Survey, Western Geog Sci Ctr, 345 Middlefield Rd,MS-531, Menlo Pk, CA 94025 USA.
EM kbyrd@usgs.gov
RI Sohl, Terry/W-5486-2019
OI Byrd, Kristin/0000-0002-5725-7486; Sohl, Terry/0000-0002-9771-4231;
   Soulard, Christopher/0000-0002-5777-9516
FU California Landscape Conservation Cooperative; USGS LandCarbon Project
FX We thank The Nature Conservancy for use of the critical priority habitat
   map for the California Rangeland Conservation Coalition Focus Area. We
   thank Adam McClure for data processing and analysis; the Defenders of
   Wildlife for outreach to the Coalition network; the California Rangeland
   Conservation Coalition and several of its signatories for providing
   feedback throughout the project; and also ranchers Virginia Coelho, Mel
   Thompson, Tracy Schohr, Pete Craig, Todd Swickard, Al Medvitz, Cari
   Rivers, and Darrel Sweet for their input in developing the integrated
   scenarios. The project was funded by the California Landscape
   Conservation Cooperative and the USGS LandCarbon Project. Any use of
   trade, firm, or product names is for descriptive purposes only and does
   not imply endorsement by the U.S. Government.
CR [Anonymous], EC ANAL BENEFITS HAB
   [Anonymous], 2003, CHANG CAL FOR RANG 2
   [Anonymous], 1998, GLOSS TERMS US RANG
   [Anonymous], 2005, Ecosystems and human wellbeing: synthesis
   [Anonymous], 03304 USGS
   Ash A, 2012, RANGELAND ECOL MANAG, V65, P563, DOI 10.2111/REM-D-11-00191.1
   Bierwagen BG, 2010, P NATL ACAD SCI USA, V107, P20887, DOI 10.1073/pnas.1002096107
   Booker K, 2013, GLOBAL ENVIRON CHANG, V23, P240, DOI 10.1016/j.gloenvcha.2012.10.001
   Brown J, 2011, RANGELAND J, V33, P99, DOI 10.1071/RJ11006
   Brunson MW, 2008, RANGELAND ECOL MANAG, V61, P137, DOI 10.2111/07-063.1
   California Department of Forestry and Fire Protection (Cal Fire), 2010, CAL FOR RANG 2010 AS
   Cameron DR, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0103468
   CHARBONNEAU R, 1993, ENVIRON MANAGE, V17, P453, DOI 10.1007/BF02394661
   Chen YJ, 2013, SOIL BIOL BIOCHEM, V66, P38, DOI 10.1016/j.soilbio.2013.06.022
   Connell-Buck CR, 2011, CLIMATIC CHANGE, V109, P133, DOI 10.1007/s10584-011-0302-7
   Daly C, 2008, INT J CLIMATOL, V28, P2031, DOI 10.1002/joc.1688
   de Chazal J, 2009, GLOBAL ENVIRON CHANG, V19, P306, DOI 10.1016/j.gloenvcha.2008.09.007
   Flint L.E., 2014, California basin characterization model downscaled climate and hydrology/historical California basin characterization model downscaled climate and hydrology
   Flint L.E., 2012, ECOL PROCESS, V1, P1, DOI [DOI 10.1186/2192-1709-1-2, 10.1186/2192-1709-1-2]
   Flint L.E., 2013, ECOL PROCESS, V2, P1, DOI [DOI 10.1186/2192-1709-2-25, 10.1186/2192-1709-2-25]
   Follett R.F., 2001, The potential for U.S. grazing lands to sequester carbon and mitigate the greenhouse eect
   Gaman T., 2006, OAKS 2040
   Garrison GA, 1977, AGR HDB DEP AGR FOR, V475, P168
   Golubiewski NE, 2006, ECOL APPL, V16, P555, DOI 10.1890/1051-0761(2006)016[0555:UIGCPE]2.0.CO;2
   GreenInfo Network, 2011, CAL PROT AR DAT VERS
   Havstad KM, 2007, ECOL ECON, V64, P261, DOI 10.1016/j.ecolecon.2007.08.005
   He MX, 2012, ENVIRON EARTH SCI, V65, P1671, DOI 10.1007/s12665-011-1144-3
   Headache classification Committee of the International Headache Society (IHS), 2018, Cephalalgia, V38, P1, DOI [10.1177/0333102417738202, DOI 10.1177/0333102417738202, DOI 10.2833/9937]
   Herrick JE, 2012, RANGELAND ECOL MANAG, V65, P590, DOI 10.2111/REM-D-11-00186.1
   Homer C, 2007, PHOTOGRAMM ENG REM S, V73, P337
   Howard J, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011249
   Jantz P.A., 2007, California Grasslands: Ecology and Management, P297
   Jongsomjit D, 2013, LANDSCAPE ECOL, V28, P187, DOI 10.1007/s10980-012-9825-1
   Kroodsma DA, 2006, ECOL APPL, V16, P1975, DOI 10.1890/1051-0761(2006)016[1975:CSICA]2.0.CO;2
   Lal R, 2002, ENVIRON POLLUT, V116, P353, DOI 10.1016/S0269-7491(01)00211-1
   Liu S, 2013, BIOPROCESS ENGINEERING: KINETICS, BIOSYSTEMS, SUSTAINABILITY, AND REACTOR DESIGN, P1
   Loveland TR, 2002, PHOTOGRAMM ENG REM S, V68, P1091
   Major J., 1977, Terrestrial Vegetation of California, V2nd, P11
   McKibben B, 2014, NEW YORK REV BOOKS, V61, P46
   Medellín-Azuara J, 2011, CLIMATIC CHANGE, V109, P387, DOI 10.1007/s10584-011-0314-3
   Meehl GA, 2007, B AM METEOROL SOC, V88, P1383, DOI 10.1175/BAMS-88-9-1383
   Merenlender AM, 2008, CALIF AGR, V62, P148, DOI 10.3733/ca.v062n04p148
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Natural Resources Conservation Service, 2006, US GEN SOIL MAP SSUR
   Polade SD, 2014, SCI REP-UK, V4, DOI 10.1038/srep04364
   Potthoff M, 2005, RESTOR ECOL, V13, P61, DOI 10.1111/j.1526-100X.2005.00008.x
   Quinn G.P., 2002, Experimental Design and Data Analysis for Biologists
   Radeloff VC, 2012, ECOL APPL, V22, P1036, DOI 10.1890/11-0306.1
   SAS Institute Inc, 2002, SAS 9 3
   Scanlon BR, 2005, GLOBAL CHANGE BIOL, V11, P1577, DOI 10.1111/j.1365-2486.2005.01026.x
   Shaw M. R., 2009, CEC5002009025D
   Shaw MR, 2011, CLIMATIC CHANGE, V109, P465, DOI 10.1007/s10584-011-0313-4
   Silver WL, 2010, RANGELAND ECOL MANAG, V63, P128, DOI 10.2111/REM-D-09-00106.1
   Sleeter B., 2008, California Geographer, V48, P27
   Sleeter BM, 2012, GLOBAL ENVIRON CHANG, V22, P896, DOI 10.1016/j.gloenvcha.2012.03.008
   Sleeter BM, 2011, ENVIRON MONIT ASSESS, V173, P251, DOI 10.1007/s10661-010-1385-8
   Sohl TL, 2014, ECOL APPL, V24, P1015, DOI 10.1890/13-1245.1
   Sohl TL, 2012, APPL GEOGR, V34, P111, DOI 10.1016/j.apgeog.2011.10.019
   Soulard CE, 2015, J LAND USE SCI, V10, P59, DOI 10.1080/1747423X.2013.841297
   StataCorp LP, 1985, STAT SE 12 1
   State of California Department of Finance, 2013, P1 STAT CAL DEP FIN
   Strengers B., 2004, GeoJournal, V61, P381, DOI 10.1007/s10708-004-5054-8
   The Nature Conservancy, 2007, CAL RANG CONS COAL B
   Theobald DM, 2005, ECOL SOC, V10
   U.S. Endowment for Forestry and Communities, 2011, NAT CONS EAS DATA
   US Environmental Protection Agency, 2009, EPA600R08076F
   *US EPA, 2013, PRIM DIST CHAR LEV 3
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P5, DOI [10.1007/s10584-011-0148-z, 10.1007/s10584-011-0157-y]
   Vogelmann JE, 2001, PHOTOGRAMM ENG REM S, V67, P650
   Weltz MA, 2011, J SOIL WATER CONSERV, V66, p154A, DOI 10.2489/jswc.66.5.154A
   Zhu Z., 2012, USGS Professional Paper 1797, P192, DOI DOI 10.3133/PP1797
NR 71
TC 65
Z9 81
U1 5
U2 308
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0921-2973
EI 1572-9761
J9 LANDSCAPE ECOL
JI Landsc. Ecol.
PD APR
PY 2015
VL 30
IS 4
BP 729
EP 750
DI 10.1007/s10980-015-0159-7
PG 22
WC Ecology; Geography, Physical; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Physical Geography; Geology
GA CC4XT
UT WOS:000350360100012
OA hybrid
DA 2025-01-10
ER

PT J
AU Waeber, PO
   Nitschke, CR
   Le Ferrec, A
   Harshaw, HW
   Innes, JL
AF Waeber, Patrick O.
   Nitschke, Craig R.
   Le Ferrec, Ambre
   Harshaw, Howard W.
   Innes, John L.
TI Evaluating alternative forest management strategies for the Champagne
   and Aishihik Traditional Territory, southwest Yukon
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Strategic Forest Management Plan forest management strategies
   sustainable forest management climate change; Yukon; Analytic Hierarchy
   Process (AHP); Adaptation
ID DECISION-SUPPORT-SYSTEM; CLIMATE-CHANGE ADAPTATION; MULTIPLE CRITERIA;
   PUBLIC-PARTICIPATION; PRIORITIES
AB Sustainable forest management (SFM) requires the balancing of diverse values and conflicting management objectives. Climate change adds a further degree of uncertainty to this complex issue. In this study we analysed a Strategic Forest Management Plan (SFMP) from the southwest Yukon, Canada. The SFMP was developed to enable the salvage harvesting of beetle-killed white spruce stands and encourage fuel-abatement treatments to reduce fire risk to local communities. It did not, however, provide a long-term strategy to achieve SFM in the region. In this study, the SFMP served as the basis to develop and evaluate alternative forest management strategies in the context of climate change. Working group discussions with local stakeholders enabled the structuring of a ratings table that helped practitioners and experts to characterize five alternative strategies stemming from the SFMP, based on its main goals and objectives. An Analytic Hierarchy Process (AMP) was then used to balance competing values and objectives and test the alternatives against each other. The strategy 'Manage for multiple values and use' had the highest AHP-score when compared to the four other alternatives (timber, wildlife, fire risk reduction and carbon), which were narrower in scope. It may represent the best balance for the ecological and socio-economic values listed in the SFMP. Although the multiple values (MV) alternative is closest to the current SFMP in terms of scope, this study highlights that there are viable alternatives such as 'manage for wildlife' that achieved similar scores to the MV approach. The current SFMP has great potential to serve as a basis and starting point for a continuous and adaptive planning process for forest managenient Exploring the different/alternative strategic directions will help to better address uncertain futures, thereby leading to more sustainable approaches. (C) 2013 Elsevier Ltd. All rights reserved.
C1 [Waeber, Patrick O.; Harshaw, Howard W.; Innes, John L.] Univ British Columbia, Forest Sci Ctr, Vancouver, BC V6T 1Z4, Canada.
   [Nitschke, Craig R.] Univ Melbourne, Dept Forest & Ecosyst Sci, Melbourne, Vic, Australia.
   [Le Ferrec, Ambre] ENITAB, Bordeaux, France.
C3 University of British Columbia; University of Melbourne
RP Waeber, PO (corresponding author), Univ British Columbia, Forest Sci Ctr, 2424 Main Mall, Vancouver, BC V6T 1Z4, Canada.
EM powaeber@gmail.com
RI Innes, John/E-4355-2013; Nitschke, Craig/AGI-8890-2022; Harshaw,
   Howie/AAU-6139-2021; Waeber, Patrick O/A-3649-2016
OI Nitschke, Craig/0000-0003-2514-9744; Waeber, Patrick
   O/0000-0002-3229-0124; Harshaw, Howard/0000-0001-9568-772X
FU Forest Management Branch, Department of Energy, Mines and Resources,
   Government of Yukon; National Science and Engineering Research Council
   of Canada NSERC [235773]; University of British Columbia
FX We would like to thank Roger Brown (Champagne and Aishihik First
   Nation), Aynslie Ogden (Government of Yukon), and Brad Hawkes (Canadian
   Forest Service) for the continuous fruitful discussions and inputs that
   made this research possible. This work has been financially supported by
   Forest Management Branch, Department of Energy, Mines and Resources,
   Government of Yukon, and through a National Science and Engineering
   Research Council of Canada NSERC-grant (235773). The first author has a
   University of British Columbia-University Graduate Fellowship-grant.
CR Ananda J, 2003, FOREST POLICY ECON, V5, P13, DOI 10.1016/S1389-9341(02)00043-6
   Ananda J, 2009, ECOL ECON, V68, P2535, DOI 10.1016/j.ecolecon.2009.05.010
   [Anonymous], 1986, Decision Analysis and Behavioral Research
   [Anonymous], 2004, IMPACTS WARMING ARCT
   Berg EE, 2006, FOREST ECOL MANAG, V227, P219, DOI 10.1016/j.foreco.2006.02.038
   Bunnell Fred L., 2003, Journal for Nature Conservation (Jena), V10, P269, DOI 10.1078/1617-1381-00027
   Burton P.J., 2003, SUSTAINABLE MANAGEME, P395
   Chambers F.H., 2003, SUSTAINABLE MANAGEME, P395
   DAVIS RG, 1993, CAN J FOREST RES, V23, P1078, DOI 10.1139/x93-138
   Diaz-Balteiro L, 2008, FOREST ECOL MANAG, V255, P3222, DOI 10.1016/j.foreco.2008.01.038
   Diaz-Balteiro L, 2009, SCAND J FOREST RES, V24, P87, DOI 10.1080/02827580802687440
   Flannigan MD, 1998, J VEG SCI, V9, P469, DOI 10.2307/3237261
   Fleming RA, 1998, ENVIRON MONIT ASSESS, V49, P235, DOI 10.1023/A:1005818108382
   Garbutt R., 2006, BCX406 CAN FOR SERV
   Gregory RS, 2002, ENVIRON VALUE, V11, P461, DOI 10.3197/096327102129341181
   Greig M., 2009, CARBON MANAGEMENT BR
   Harshaw HW, 2010, FOREST CHRON, V86, P697, DOI 10.5558/tfc86697-6
   Hirsch K, 2001, FOREST CHRON, V77, P357, DOI 10.5558/tfc77357-2
   Hirsch KG, 2004, CAN J FOREST RES, V34, P705, DOI [10.1139/x03-237, 10.1139/X03-237]
   ILP (Integrated Landscape Plan), 2007, TECHN ASS RES MAN PR
   Jeakins P., 2006, ARROW INNOVATIVE FOR, V1, P37
   Kangas J, 2005, FOREST ECOL MANAG, V207, P133, DOI 10.1016/j.foreco.2004.10.023
   KANGAS J, 1994, FOREST ECOL MANAG, V70, P75, DOI 10.1016/0378-1127(94)90076-0
   Kangas J, 1992, SCAND J FOREST RES, V7, P259, DOI 10.1080/02827589209382718
   Kant S, 2004, FOREST POLICY ECON, V6, P215, DOI 10.1016/j.forpol.2004.03.005
   Klenk NL, 2011, INT J FORECASTING, V27, P152, DOI 10.1016/j.ijforecast.2010.05.002
   Kozak RA, 2008, CAN J FOREST RES, V38, P3071, DOI 10.1139/X08-146
   KUUSIPALO J, 1994, CONSERV BIOL, V8, P450, DOI 10.1046/j.1523-1739.1994.08020450.x
   Lindenmayer D.B., 2008, SALVAGE LOGGING ITS
   Lindenmeyer D.B., 2002, CONSERVING FOREST BI
   Martell DL, 1998, EUR J OPER RES, V104, P1, DOI 10.1016/S0377-2217(97)00329-9
   Martin WE, 2000, J ENVIRON MANAGE, V58, P21, DOI 10.1006/jema.1999.0313
   McCoy VM, 2005, ARCTIC, V58, P276
   Mendoza GA, 2006, FOREST ECOL MANAG, V230, P1, DOI 10.1016/j.foreco.2006.03.023
   Montreal Process, 1995, CRIT IND CONS SUST M
   Naesset E, 1997, SCAND J FOREST RES, V12, P77, DOI 10.1080/02827589709355387
   Noss RF, 2001, CONSERV BIOL, V15, P578, DOI 10.1046/j.1523-1739.2001.015003578.x
   Ogden AE, 2008, MITIG ADAPT STRAT GL, V13, P833, DOI 10.1007/s11027-008-9144-7
   Ogden AE, 2009, ARCTIC, V62, P159
   Ohlson DW, 2005, FOREST CHRON, V81, P97, DOI 10.5558/tfc81097-1
   Pukkala T., 2002, Multi-objective forest planning
   Saaty T.L., 1982, Decision Making for Leaders: the Analytic Hierarchy Process for Decisions in a Complex World
   SAATY TL, 1977, J MATH PSYCHOL, V15, P234, DOI 10.1016/0022-2496(77)90033-5
   Saaty TL., 2002, Int J Serv Sci, V9, P215, DOI [10.1504/IJSSCI.2008.017590, DOI 10.1504/IJSSCI.2008.017590, 10.1108/JMTM-03-2014-0020, DOI 10.1108/JMTM-03-2014-0020, 10.1504/ijssci.2008.017590]
   Schmoldt D.L., 2001, ANAL HIERARCHY PROCE
   Sessions J., 2001, P 1 INT PREC FOR S U, P185
   SFMP, 2004, STRAT FOR MAN PLAN C
   Varma VK, 2000, FOREST ECOL MANAG, V128, P49, DOI 10.1016/S0378-1127(99)00271-6
   Waeber P.O., 2012, THESIS U BRIT COLUMB
   Wondolleck JuliaM., 2000, MAKING COLLABORATION
   Yukon F.H.R., 2009, FOREST HLTH REPORT
NR 51
TC 10
Z9 10
U1 1
U2 49
PU ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
PI LONDON
PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
SN 0301-4797
EI 1095-8630
J9 J ENVIRON MANAGE
JI J. Environ. Manage.
PD MAY 15
PY 2013
VL 120
BP 148
EP 156
DI 10.1016/j.jenvman.2013.02.008
PG 9
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 131NL
UT WOS:000318000300019
PM 23535452
DA 2025-01-10
ER

PT J
AU Najar, N
   Persson, KM
AF Najar, Nasik
   Persson, Kenneth M.
TI Assessing Climate Adaptation and Flood Security Using a Benchmark
   System: Some Swedish Water Utilities as Good Learning Examples
SO WATER
LA English
DT Article
DE action plan; benchmark; climate adaptation; flood security; Swedish
   water utilities; shared responsibility; vulnerability analysis
ID STORMWATER MANAGEMENT; FRAMEWORK
AB The 2020 Sustainability Index (SI), a benchmark system, shows that 2% of the 184 municipal water and wastewater utilities (WWS) in Sweden have a good performance level (green), i.e., they meet all benchmark requirements for the "climate adaptation and flood safety" ("CA and FS"). In this study, ten Swedish WWS organizations were selected and studied in depth. The goal was to present them as good learning examples to inspire other utilities seeking to improve their results and to clarify and concretize the driving factors, strategies, and important explanations for their success, and the challenges they face. A total of 52 SI annual documents from ten utilities were analyzed. Six of their managers were interviewed in depth. One of the ten utilities studied was green on the parameter "CA and FS". Flooding events in two utilities drove climate adaptation. The formation of an interdisciplinary group in two organizations had a major impact on their success. Two utilities focused on low-lying sites and enclosed spaces. Three believed capacity building increased their chances of success. The biggest challenge was sharing responsibility. That only 2% of municipal water and wastewater utilities are green is not the whole truth. Therefore, there should be other factors in SI that measure performance in "CA and FS". To improve the results, new laws are needed to solve the problem of shared responsibility.
C1 [Najar, Nasik] Jonkoping Univ, Sch Engn, Dept Construct Engn & Lighting Sci, POB 1026, S-55111 Jonkoping, Sweden.
   [Persson, Kenneth M.] Lund Univ, Div Water Resources Engn, POB 118, S-22100 Lund, Sweden.
C3 Jonkoping University; Lund University
RP Najar, N (corresponding author), Jonkoping Univ, Sch Engn, Dept Construct Engn & Lighting Sci, POB 1026, S-55111 Jonkoping, Sweden.
EM nasik.najar@ju.se
OI Persson, Kenneth/0000-0002-2190-7758; Najar, Nasik/0000-0002-7206-1342
FU Department of Civil Engineering and Lighting Science, School of
   Engineering, Jonkoping University
FX The authors acknowledge the funding from the research program Mistra
   InfraMaint. Additional funding was received from the Department of Civil
   Engineering and Lighting Science, School of Engineering, Jonkoping
   University.
CR Arvika Municipality, DOC SI EV ARV MUN 20
   Barbosa AE, 2012, WATER RES, V46, P6787, DOI 10.1016/j.watres.2012.05.029
   Blomquist D., 2016, RIKTLINJER MODELLERI
   Brulin G., 2011, Att aga, styra och utvardera stora projekt
   Carter JG, 2007, GEOGR J, V173, P330, DOI 10.1111/j.1475-4959.2007.00257.x
   Cettner A, 2013, J ENVIRON PLANN MAN, V56, P786, DOI 10.1080/09640568.2012.706216
   Forsakring S., 2015, SVENSK FORSAKRINGS R
   Glaas E, 2018, WATER-SUI, V10, DOI 10.3390/w10081102
   Grossi G, 2008, PUBLIC MANAG REV, V10, P597, DOI 10.1080/14719030802264275
   Healey P, 2009, PLAN THEORY PRACT, V10, P439, DOI 10.1080/14649350903417191
   Hellstrom M., 2004, AR BRA LOKALER FORMS
   Hernebring C., 2015, VATTEN. J. Water Manag. Res., V71, P85
   Hooijer A, 2004, RIVER RES APPL, V20, P343, DOI 10.1002/rra.781
   ipcc.ch, 2022, IPCC ASSESSMENT REPO
   Jonsson R., 2014, P 24 ANN RESER C SER
   Jonsson R., 2017, ORG STYRNING KOMMUNA
   Lansstyrelsen, 2018, REKOMMENDATIONER HAN
   Lidstrom V., 2020, VART VATTEN GRUNDLAG, P290
   Malmo, 2017, STAD SKYF MALM CLOUD, V44
   Marsalek J, 2009, WATER QUAL RES J CAN, V44, pV, DOI 10.2166/wqrj.2009.001
   Matschke Ekholm H., 2021, KLIMATANPASSNING 202
   Mattisson O., 2011, FASTIGHETER BOLAG ST
   MSB, 2017, CLOUDB MAPP GUID IMP, P72
   Najar N, 2021, WATER-SUI, V13, DOI 10.3390/w13141879
   Najar N, 2019, WATER-SUI, V11, DOI 10.3390/w11102150
   Niemczynowicz J., 1999, Urban Water, V1, P1, DOI 10.1016/S1462-0758(99)00009-6
   Poustie MS, 2015, URBAN WATER J, V12, P543, DOI 10.1080/1573062X.2014.916725
   Regeringskansliet M, 2017, WHO IS RESPONSIBLE S, P429
   Restemeyer B, 2015, PLAN THEORY PRACT, V16, P45, DOI 10.1080/14649357.2014.1000950
   Rodak CM, 2020, WATER ENVIRON RES, V92, P1552, DOI 10.1002/wer.1403
   Sayers P., 2013, Flood Risk Management: A Strategic Approach
   Scott M, 2013, PLAN THEORY PRACT, V14, P103, DOI 10.1080/14649357.2012.761904
   Skilberg L., 2020, VATTEN J WATER MANAG, V76, P153
   SKR Kommungruppsindelning (Municipal Group Division), 2017, US
   Soderberg J., 2011, NORD MILJ R TTSLIG T, V2011, P3
   Sörensen J, 2017, J HYDROL, V555, P51, DOI 10.1016/j.jhydrol.2017.09.039
   Svenskt Vatten, 2015, SWEDISH WATER SUSTAI, P36
   Svenskt Vatten, 2020, INVESTERINGSBEHOV FR
   svensktvatten.se, 2021, RESULT REPORT SUSTAI
   Swedish Meteorological and Hydrological Institute, 2022, FACTS LAK VATT 2009
   Thomasson A., 2013, ORG OKAD UTHALLIGHET
   Trapp JH, 2017, ENVIRON EARTH SCI, V76, DOI 10.1007/s12665-017-6461-8
   van de Meene SJ, 2011, GLOBAL ENVIRON CHANG, V21, P1117, DOI 10.1016/j.gloenvcha.2011.04.003
   Varldens Haftigaste Det Haftigaste Fran Hela Varlden, 2021, ART TOPPL MED BILD F
   Vatten S., 2016, PUBLICATIONS, P148
   Villarreal EL, 2004, ECOL ENG, V22, P279, DOI 10.1016/j.ecoleng.2004.06.007
   Vis M., 2003, International Journal of River Basin Management, V1, P33, DOI [DOI 10.1080/15715124.2003.9635190, 10.1080/15715124.2003.9635190]
   Widarsson L., 2007, 200704 SVENSKT VATT
   Woltjer J, 2007, J AM PLANN ASSOC, V73, P211, DOI 10.1080/01944360708976154
NR 49
TC 2
Z9 2
U1 0
U2 4
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD SEP
PY 2022
VL 14
IS 18
AR 2865
DI 10.3390/w14182865
PG 24
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA 4R6OI
UT WOS:000856880400001
OA gold
DA 2025-01-10
ER

PT J
AU Rodrigues, MF
   Cogni, R
AF Rodrigues, Murillo F.
   Cogni, Rodrigo
TI Genomic Responses to Climate Change: Making the Most of the
   <i>Drosophila</i> Model
SO FRONTIERS IN GENETICS
LA English
DT Article
DE cline; wild populations; global warming; genomic adaptation; climate
   adaptation; natural selection; Drosophila; historical samples
ID PHENOTYPIC PLASTICITY; LIFE-HISTORY; LATITUDINAL VARIATION;
   MELANOGASTER; POPULATIONS; ADAPTATION; POLYMORPHISM; SELECTION; CLINES;
   GENETICS
AB It is pressing to understand how animal populations evolve in response to climate change. We argue that new sequencing technologies and the use of historical samples are opening unprecedented opportunities to investigate genome-wide responses to changing environments. However, there are important challenges in interpreting the emerging findings. First, it is essential to differentiate genetic adaptation from phenotypic plasticity. Second, it is extremely difficult to map genotype, phenotype, and fitness. Third, neutral demographic processes and natural selection affect genetic variation in similar ways. We argue that Drosophila melanogaster, a classical model organism with decades of climate adaptation research, is uniquely suited to overcome most of these challenges. In the near future, long-term time series genome-wide datasets of D. melanogaster natural populations will provide exciting opportunities to study adaptation to recent climate change and will lay the groundwork for related research in non-model systems.
C1 [Rodrigues, Murillo F.] Univ Oregon, Inst Ecol & Evolut, Eugene, OR 97403 USA.
   [Cogni, Rodrigo] Univ Sao Paulo, Dept Ecol, Inst Biosci, Sao Paulo, Brazil.
C3 University of Oregon; Universidade de Sao Paulo
RP Cogni, R (corresponding author), Univ Sao Paulo, Dept Ecol, Inst Biosci, Sao Paulo, Brazil.
EM rcogni@usp.br
RI Rodrigues, Murillo/AAS-5096-2021; Cogni, Rodrigo/C-3962-2016
OI Rodrigues, Murillo/0000-0001-7508-1384
FU Sao Paulo Research Foundation (FAPESP) [2013/25991-0, 2016/01354-9,
   2017/06374-0, 2017/02206-6]; CNPq [307015/2015-7, 307447/2018-9]; Newton
   Advanced Fellowship from the Royal Society; Forte [2017-02206] Funding
   Source: Forte
FX Funding for this work was provided by Sao Paulo Research Foundation
   (FAPESP) (2013/25991-0, 2016/01354-9, 2017/06374-0, and 2017/02206-6),
   CNPq (307015/2015-7 and 307447/2018-9), and a Newton Advanced Fellowship
   from the Royal Society.
CR Adrion JR, 2015, TRENDS GENET, V31, P434, DOI 10.1016/j.tig.2015.05.006
   Alves JM, 2019, SCIENCE, V363, P1319, DOI 10.1126/science.aau7285
   Ayrinhac A, 2004, FUNCT ECOL, V18, P700, DOI 10.1111/j.0269-8463.2004.00904.x
   Balanyà J, 2009, HEREDITY, V103, P364, DOI 10.1038/hdy.2009.86
   Balanyá J, 2006, SCIENCE, V313, P1773, DOI 10.1126/science.1131002
   Barghi N, 2019, PLOS BIOL, V17, DOI 10.1371/journal.pbio.3000128
   Batista MRD, 2012, CLIM RES, V53, P131, DOI 10.3354/cr01088
   Behrman EL, 2018, P ROY SOC B-BIOL SCI, V285, DOI 10.1098/rspb.2017.2599
   Berg JJ, 2014, PLOS GENET, V10, DOI 10.1371/journal.pgen.1004412
   Bergland AO, 2014, PLOS GENET, V10, DOI 10.1371/journal.pgen.1004775
   Bi K, 2019, PLOS GENET, V15, DOI 10.1371/journal.pgen.1008119
   Caracristi G, 2003, MOL BIOL EVOL, V20, P792, DOI 10.1093/molbev/msg091
   Cogni R, 2017, SCI REP-UK, V7, DOI 10.1038/srep42766
   Cogni R, 2016, MOL ECOL, V25, P5228, DOI 10.1111/mec.13769
   Cogni R, 2015, P ROY SOC B-BIOL SCI, V282, DOI 10.1098/rspb.2014.2688
   Cogni R, 2014, EVOLUTION, V68, P538, DOI 10.1111/evo.12291
   Diffenbaugh NS, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aao3354
   Dobzhansky T, 1943, GENETICS, V28, P162
   Endler J.A., 1977, Monographs in Population Biology, pi
   Erickson PA, 2020, PLOS GENET, V16, DOI 10.1371/journal.pgen.1009110
   Fabian DK, 2015, J EVOLUTION BIOL, V28, P826, DOI 10.1111/jeb.12607
   Feder AF, 2021, PLOS GENET, V17, DOI 10.1371/journal.pgen.1009050
   Fuller ZL, 2020, SCIENCE, V369, P268, DOI 10.1126/science.aba4674
   Garland T, 2006, J EXP BIOL, V209, P2344, DOI 10.1242/jeb.02244
   Garud NR, 2021, PLOS GENET, V17, DOI 10.1371/journal.pgen.1009373
   Gasch AP, 2016, TRENDS GENET, V32, P147, DOI 10.1016/j.tig.2015.12.003
   Gienapp P, 2008, MOL ECOL, V17, P167, DOI 10.1111/j.1365-294X.2007.03413.x
   Grenier JK, 2015, G3-GENES GENOM GENET, V5, P593, DOI 10.1534/g3.114.015883
   Hoffmann AA, 2011, NATURE, V470, P479, DOI 10.1038/nature09670
   Kapun M., 2021, DROSOPHILA EVOLUTION, DOI [10.1101/2021.02.01.428994, DOI 10.1101/2021.02.01.428994]
   Kapun M, 2020, MOL BIOL EVOL, V37, P2661, DOI 10.1093/molbev/msaa120
   Karasov T, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1000924
   Kawecki TJ, 2004, ECOL LETT, V7, P1225, DOI 10.1111/j.1461-0248.2004.00684.x
   Keller A, 2007, CURR BIOL, V17, pR77, DOI 10.1016/j.cub.2006.12.031
   Kellermann V, 2020, AM NAT, V196, P306, DOI 10.1086/710006
   Kellermann V, 2019, PHYSIOL ENTOMOL, V44, P99, DOI 10.1111/phen.12282
   Key FM, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms10775
   Kim BY., 2020, bioRxiv, page, DOI [DOI 10.1101/2020.12.14.422775, 10.1101/2020.12.14.422775]
   King EG, 2012, GENETICS, V191, P935, DOI 10.1534/genetics.112.138537
   Klepsatel P, 2014, EVOLUTION, V68, P1385, DOI 10.1111/evo.12351
   Lack JB, 2016, MOL BIOL EVOL, V33, P3308, DOI 10.1093/molbev/msw195
   Lang PLM, 2019, NEW PHYTOL, V221, P110, DOI 10.1111/nph.15401
   Langley CH, 2011, GENETICS, V188, P239, DOI 10.1534/genetics.111.127530
   Lavington E, 2014, MOL BIOL EVOL, V31, P2032, DOI 10.1093/molbev/msu146
   Lazzaro BP, 2008, PLOS PATHOG, V4, DOI 10.1371/journal.ppat.1000025
   Lee SF, 2011, MOL ECOL, V20, P2973, DOI 10.1111/j.1365-294X.2011.05155.x
   Leonardi M, 2017, SYST BIOL, V66, pE1, DOI 10.1093/sysbio/syw059
   Machado HE., 2019, BROAD GEOGRAPHIC SAM, DOI [10.1101/337543, DOI 10.1101/337543]
   Machado HE, 2016, MOL ECOL, V25, P723, DOI 10.1111/mec.13446
   Mackay TFC, 2012, NATURE, V482, P173, DOI 10.1038/nature10811
   Malaspinas AS, 2016, MOL ECOL, V25, P24, DOI 10.1111/mec.13492
   Matz MV, 2018, PLOS GENET, V14, DOI 10.1371/journal.pgen.1007220
   Merilä J, 2014, EVOL APPL, V7, P1, DOI 10.1111/eva.12137
   Mitchell KA, 2011, FUNCT ECOL, V25, P661, DOI 10.1111/j.1365-2435.2010.01821.x
   Paaby AB, 2010, MOL ECOL, V19, P760, DOI 10.1111/j.1365-294X.2009.04508.x
   Parmesan C, 2006, ANNU REV ECOL EVOL S, V37, P637, DOI 10.1146/annurev.ecolsys.37.091305.110100
   Pennings PS, 2006, MOL BIOL EVOL, V23, P1076, DOI 10.1093/molbev/msj117
   Pitchers W, 2013, EVOLUTION, V67, P438, DOI 10.1111/j.1558-5646.2012.01774.x
   Rajpurohit S, 2018, MOL ECOL, V27, P3525, DOI 10.1111/mec.14814
   Ramakers JJC, 2019, EVOLUTION, V73, P175, DOI 10.1111/evo.13660
   Rodrigues M.F., 2020, BIORXIV, DOI [10.1101/2020.03.19.999011, DOI 10.1101/2020.03.19.999011]
   Rudman S.M., 2021, DIRECT OBSERVATION A, DOI [10.1101/2021.04.27.441526, DOI 10.1101/2021.04.27.441526]
   Rudman SM, 2019, P NATL ACAD SCI USA, V116, P20025, DOI 10.1073/pnas.1907787116
   Schmidt PS, 2008, P NATL ACAD SCI USA, V105, P16207, DOI 10.1073/pnas.0805485105
   Schmidt PS, 2005, EVOLUTION, V59, P1721, DOI 10.1111/j.0014-3820.2005.tb01821.x
   Siddiq MA, 2019, P NATL ACAD SCI USA, V116, P21634, DOI 10.1073/pnas.1909216116
   Sprengelmeyer QD, 2020, MOL BIOL EVOL, V37, P627, DOI 10.1093/molbev/msz271
   Tauber E, 2007, SCIENCE, V316, P1895, DOI 10.1126/science.1138412
   Umina PA, 2005, SCIENCE, V308, P691, DOI 10.1126/science.1109523
   Veeramah K.R., 2020, FLORIDA DROSOPHILA M, DOI [10.1101/2020.10.23.352732, DOI 10.1101/2020.10.23.352732]
   Waldvogel AM, 2020, EVOL LETT, V4, P4, DOI 10.1002/evl3.154
   Wandeler P, 2007, TRENDS ECOL EVOL, V22, P634, DOI 10.1016/j.tree.2007.08.017
NR 72
TC 4
Z9 4
U1 3
U2 26
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 1664-8021
J9 FRONT GENET
JI Front. Genet.
PD JUL 13
PY 2021
VL 12
AR 676218
DI 10.3389/fgene.2021.676218
PG 7
WC Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Genetics & Heredity
GA TR2HK
UT WOS:000678791300001
PM 34326859
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Vogel, B
   Henstra, D
AF Vogel, Brennan
   Henstra, Daniel
TI Studying local climate adaptation: A heuristic research framework for
   comparative policy analysis
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Adaptation; Climate change; Comparative analysis; Local government;
   Public policy
ID ENVIRONMENTAL-POLICY; PUBLIC-POLICY; STAKEHOLDER ENGAGEMENT; EXTREME
   WEATHER; CHALLENGES; GOVERNMENT; LEVEL; RISK; PARTICIPATION; MANAGEMENT
AB Climate change poses a significant risk for communities, and local governments around the world have begun responding by developing climate adaptation policies. Scholarship on local adaptation policy has proliferated in recent years, but insufficient attention has been paid to operationalization of the unit of analysis, and methods employed are typically inadequate to draw inferences about variation across cases. This article seeks to contribute to the conceptual and methodological foundations of a research agenda for comparative analysis of local adaptation policies and policy-making. Synthesizing insights from policy studies literature and existing adaptation research, the article identifies and operationalizes two aspects of public policy policy content and policy process which are salient objects of comparative analysis that typically vary from one community to another. The article also addresses research design, outlining a comparative case study methodology that incorporates various qualitative analytical techniques as the vehicle to examine these policy elements in empirical settings. (C) 2015 Elsevier Ltd. All rights reserved.
C1 [Vogel, Brennan] Univ Western Ontario, Dept Geog, London, ON N6A 3K7, Canada.
   [Henstra, Daniel] Univ Waterloo, Dept Polit Sci, Waterloo, ON N2L 3G1, Canada.
C3 Western University (University of Western Ontario); University of
   Waterloo
RP Henstra, D (corresponding author), Univ Waterloo, Dept Polit Sci, 200 Univ Ave West, Waterloo, ON N2L 3G1, Canada.
EM bvogel@uwo.ca; dhenstra@uwaterloo.ca
OI Henstra, Daniel/0000-0003-0224-9152
FU Social Sciences and Humanities Research Council of Canada
   [430-2012-0011]
FX The authors thank the editors and anonymous reviewers for their helpful
   comments, and gratefully acknowledge funding from the Social Sciences
   and Humanities Research Council of Canada, grant no. 430-2012-0011.
CR Aall C, 2007, GLOBAL ENVIRON POLIT, V7, P83, DOI 10.1162/glep.2007.7.2.83
   Aall C, 2012, LOCAL ENVIRON, V17, P579, DOI 10.1080/13549839.2011.631992
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Adolino Jessica., 2011, Comparing Public Policies. Issues and Choices in Six Industrialized Countries
   [Anonymous], GOV ROL CLIM CHANG A
   [Anonymous], 9 ENV CAN
   [Anonymous], 10 ENV CAN
   [Anonymous], MUN CLIM CHANG ACT P
   [Anonymous], 2001, POLICY PARADOX ART P
   [Anonymous], 2004, Public Manag. Rev., DOI [10.1080/14719030410001675722, DOI 10.1080/14719030410001675722]
   Baker I, 2012, LANDSCAPE URBAN PLAN, V107, P127, DOI 10.1016/j.landurbplan.2012.05.009
   Bauer MW, 2014, J COMP POLICY ANAL, V16, P28, DOI 10.1080/13876988.2014.885186
   Baynham M, 2014, J ENVIRON PLANN MAN, V57, P557, DOI 10.1080/09640568.2012.756805
   Berrang-Ford L, 2014, CLIMATIC CHANGE, V124, P441, DOI 10.1007/s10584-014-1078-3
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Biesbroek GR, 2010, GLOBAL ENVIRON CHANG, V20, P440, DOI 10.1016/j.gloenvcha.2010.03.005
   Birkland T., 1998, Journal of Public Policy, V18, P53, DOI [10.1017/S0143814X98000038, DOI 10.1017/S0143814X98000038]
   Birkland T.A., 1997, DISASTER AGENDA SETT
   Bizikova L., 2008, CANADIAN COMMUNITIES, VFirst
   Bleich E, 2002, COMP POLIT STUD, V35, P1054, DOI 10.1177/001041402237506
   Bouwer LM, 2006, DISASTERS, V30, P49, DOI 10.1111/j.1467-9523.2006.00306.x
   Bowen CC, 2008, PUBLIC ADM PUBLIC PO, V134, P689, DOI 10.1002/9783527623051.ch36
   Burch S, 2010, GLOBAL ENVIRON CHANG, V20, P287, DOI 10.1016/j.gloenvcha.2009.11.009
   Burnham Peter., 2008, Research Methods in Politics, V2nd
   Burton I, 2002, CLIM POLICY, V2, P145, DOI 10.1016/S1469-3062(02)00038-4
   Carmin J., 2009, Achieving urban climate adaptation in Europe and central Asia
   Cloutier G, 2015, CLIM POLICY, V15, P458, DOI 10.1080/14693062.2014.937388
   COBB R, 1976, AM POLIT SCI REV, V70, P126, DOI 10.2307/1960328
   Conde C., 2004, Adaptation Policy Frameworks for Climate Change: Developing Strategies, Policies and measures, P47
   Corfee-Morlot J, 2011, CLIMATIC CHANGE, V104, P169, DOI 10.1007/s10584-010-9980-9
   Crabbé P, 2006, CLIMATIC CHANGE, V78, P103, DOI 10.1007/s10584-006-9087-5
   Dannevig H, 2013, ENVIRON PLANN C, V31, P490, DOI 10.1068/c1152
   Dannevig H, 2012, LOCAL ENVIRON, V17, P597, DOI 10.1080/13549839.2012.678317
   Dery David., 1984, Problem Definition in Polic Analysis
   Dovers S., 2005, ENV SUSTAINABILITY P
   Dunn W., 2012, Public Policy Analysis: An Introduction, V5th
   Dupuis J, 2013, GLOBAL ENVIRON CHANG, V23, P1476, DOI 10.1016/j.gloenvcha.2013.07.022
   Dupuis J, 2013, ECOL SOC, V18, DOI 10.5751/ES-05965-180431
   Eisenhardt KM, 2007, ACAD MANAGE J, V50, P25, DOI 10.5465/AMJ.2007.24160888
   EISENHARDT KM, 1989, ACAD MANAGE REV, V14, P532, DOI 10.2307/258557
   Ekstrom JuliaA., 2013, SUCCESSFUL ADAPTATIO, P97, DOI 10.4324/9780203593882
   Few R, 2007, CLIM POLICY, V7, P46, DOI 10.1080/14693062.2007.9685637
   Ford J., 2008, International Public Policy Review, V3, P1, DOI DOI 10.1504/IJPP.2008.017123
   Ford J. D., 2015, Mitigation and Adaptation Strategies for Global Change, V20, P505, DOI 10.1007/s11027-013-9505-8
   Ford JD, 2013, ECOL SOC, V18, DOI 10.5751/ES-05732-180340
   Ford JD, 2011, CLIMATIC CHANGE, V106, P327, DOI 10.1007/s10584-011-0045-5
   Froman L.A., 1968, Political Science and Public Policy, P41
   George AL., 2005, Case studies and theory development in the social sciences
   Gerring J, 2004, AM POLIT SCI REV, V98, P341
   Gifford R, 2011, WIRES CLIM CHANGE, V2, P801, DOI 10.1002/wcc.143
   Girard P, 2009, INT J PUBLIC ADMIN, V32, P370, DOI 10.1080/01900690902827267
   Groven K, 2012, LOCAL ENVIRON, V17, P679, DOI 10.1080/13549839.2012.665859
   Gupta J., 2007, Environmental Sciences, V4, P131, DOI DOI 10.1080/15693430701742669
   Gupta K, 2012, POLICY STUD J, V40, P11, DOI 10.1111/j.1541-0072.2012.00443.x
   Hare B, 2006, CLIMATIC CHANGE, V75, P111, DOI 10.1007/s10584-005-9027-9
   Harman BP, 2015, CURR OPIN ENV SUST, V12, P74, DOI 10.1016/j.cosust.2014.11.001
   Hasegawa T, 2004, BUILD RES INF, V32, P61, DOI 10.1080/0961321032000148488
   Headache classification Committee of the International Headache Society (IHS), 2018, Cephalalgia, V38, P1, DOI [10.1177/0333102417738202, DOI 10.1177/0333102417738202, DOI 10.2833/9937]
   Henstra D, 2012, J COMP POLICY ANAL, V14, P175, DOI 10.1080/13876988.2012.665215
   Hjerpe M., 2015, LOCAL ENV IN PRESS
   Howlett M, 2011, DESIGNING PUBLIC POLICIES: PRINCIPLES AND INSTRUMENTS, P1
   Howlett M., 2009, STUDYING PUBLIC POLI, V3
   Howlett M., 2013, ROUTLEDGE HDB PUBLIC, P17
   Hunt A, 2011, CLIMATIC CHANGE, V104, P13, DOI 10.1007/s10584-010-9975-6
   Irvin RA, 2004, PUBLIC ADMIN REV, V64, P55, DOI 10.1111/j.1540-6210.2004.00346.x
   Jann W, 2007, PUBLIC ADM PUBLIC PO, V125, P43
   Jordan A, 2010, ENVIRON POLICY GOV, V20, P147, DOI 10.1002/eet.539
   Juhola S, 2012, LOCAL ENVIRON, V17, P629, DOI 10.1080/13549839.2012.665860
   Keskitalo ECH, 2010, DEVELOPING ADAPTATION POLICY AND PRACTICE IN EUROPE: MULTI-LEVEL GOVERNANCE OF CLIMATE CHANGE, P189, DOI 10.1007/978-90-481-9325-7_5
   Kingdon JW, 1995, Agendas, alternatives and public policies, V2nd
   Kok MTJ, 2007, ENVIRON SCI POLICY, V10, P587, DOI 10.1016/j.envsci.2007.07.003
   Krause RM, 2012, REV POLICY RES, V29, P585, DOI 10.1111/j.1541-1338.2012.00582.x
   Lafferty WM, 2003, ENVIRON POLIT, V12, P1, DOI 10.1080/09644010412331308254
   Larsson N, 2003, BUILD RES INF, V31, P231, DOI 10.1080/09613210320000976
   Lazar Harvey., 2007, SPHERES GOVERNANCE C
   Lorenzoni I, 2006, CLIMATIC CHANGE, V77, P73, DOI 10.1007/s10584-006-9072-z
   Lund DH, 2012, LOCAL ENVIRON, V17, P613, DOI 10.1080/13549839.2012.678318
   Mathew S, 2011, CLIM CHANG MANAG, P733, DOI 10.1007/978-3-642-14776-0_44
   Maxwell J. A., 2004, Field Methods, V16, P243, DOI [DOI 10.1177/1525822X04266831, 10.1177/1525822X04266831]
   May Peter., 1991, J PUBLIC POLICY, V11, P187, DOI DOI 10.1017/S0143814X0000619X
   May PJ, 2005, THINKING LIKE A POLICY ANALYST: POLICY ANALYSIS AS A CLINICAL PROFESSION, P127
   McBean G, 2004, NAT HAZARDS, V31, P177, DOI 10.1023/B:NHAZ.0000020259.58716.0d
   McConnell A, 2010, J PUBLIC POLICY, V30, P345, DOI 10.1017/S0143814X10000152
   McEvoy D, 2013, PLAN PRACT RES, V28, P280, DOI 10.1080/02697459.2013.787710
   McEvoy D, 2010, MITIG ADAPT STRAT GL, V15, P779, DOI 10.1007/s11027-010-9233-2
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Miller KA, 2014, MITIG ADAPT STRAT GL, V19, P289, DOI 10.1007/s11027-013-9537-0
   Morgan DavidL., 2004, APPROACHES QUALITATI, P263
   Morton TA, 2011, GLOBAL ENVIRON CHANG, V21, P103, DOI 10.1016/j.gloenvcha.2010.09.013
   Moser SC, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P313
   Mukheibir P, 2013, CLIMATIC CHANGE, V121, P271, DOI 10.1007/s10584-013-0880-7
   Muller M, 2007, ENVIRON URBAN, V19, P99, DOI 10.1177/0956247807076726
   Murtinho F, 2012, SOC NATUR RESOUR, V25, P513, DOI 10.1080/08941920.2011.604068
   Noble D., 2005, An overview of the risk management approach to adaptation to climate change in Canada
   Pal L.A., 2014, POLICY ANAL PUBLIC I
   Pasquini L, 2013, HABITAT INT, V40, P225, DOI 10.1016/j.habitatint.2013.05.003
   Penney Jennifer., 2007, CITIES PREPARING CLI
   Penning-Rowsell E, 2006, GLOBAL ENVIRON CHANG, V16, P323, DOI 10.1016/j.gloenvcha.2006.01.006
   Picketts IM, 2014, J ENVIRON PLANN MAN, V57, P984, DOI 10.1080/09640568.2013.776951
   Picketts IM, 2013, CLIMATIC CHANGE, V118, P321, DOI 10.1007/s10584-012-0653-8
   Picketts IM, 2012, ENVIRON SCI POLICY, V17, P82, DOI 10.1016/j.envsci.2011.12.011
   Post LA, 2010, POLITICS POLICY, V38, P653, DOI 10.1111/j.1747-1346.2010.00253.x
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Reisinger A, 2011, ADV GLOB CHANGE RES, V42, P303, DOI 10.1007/978-94-007-0567-8_22
   Richardson G.R.A., 2012, Land use planning tools for local adaptation to climate change
   Richardson G.R.A., 2012, Adapting to climate change: An introduction for Canadian municipalities
   Rose R., 2005, Learning from Comparative Public Policy: A Practical Guide
   Salamon LesterM., 2002, TOOLS GOVT GUIDE NEW
   Satterthwaite D., 2009, ADAPTING CITIES CLIM, P3
   Schmitt Sophie., 2013, Routledge handbook of public policy, P29
   Schneider A., 1990, POLICY THEORY POLICY, P77
   Shaw R., 2007, CLIMATE CHAGNE ADAPT
   Sherman MH, 2014, CLIM POLICY, V14, P417, DOI 10.1080/14693062.2014.859501
   Short S.E., 2006, A Handbook for Social Science Field Research: Essays Bibliographic Sources on Research Design and Methods, P103
   Simonsson L, 2011, ADV GLOB CHANGE RES, V42, P321, DOI 10.1007/978-94-007-0567-8_23
   Smit B., 2003, CLIMATE CHANGE ADAPT, DOI [https://doi.org/10.1142/9781860945816_0002, DOI 10.1142/9781860945816_0002]
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smith N, 2014, PUBLIC POLICY ADMIN, V29, P331, DOI 10.1177/0952076714529141
   Solecki W, 2012, ENVIRON URBAN, V24, P557, DOI 10.1177/0956247812456472
   Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P19
   Spector M., 2009, Constructing Social Problems, V4th
   Spence A, 2010, GLOBAL ENVIRON CHANG, V20, P656, DOI 10.1016/j.gloenvcha.2010.07.002
   STONE DA, 1989, POLIT SCI QUART, V104, P281, DOI 10.2307/2151585
   Storbjörk S, 2007, LOCAL ENVIRON, V12, P457, DOI 10.1080/13549830701656960
   Susskind L, 2010, TOWN PLAN REV, V81, P217, DOI 10.3828/tpr.2010.5
   Swart R., 2009, Europe Adapts to climate change: Comparing national adaptation strategies
   Swart R, 2014, FRONT ENV SCI-SWITZ, V2, DOI 10.3389/fenvs.2014.00029
   Tang Z., 2012, J ENVIRON PLANN MAN, V53, P41
   Tompkins EL, 2008, J ENVIRON MANAGE, V88, P1580, DOI 10.1016/j.jenvman.2007.07.025
   Urwin K, 2008, GLOBAL ENVIRON CHANG, V18, P180, DOI 10.1016/j.gloenvcha.2007.08.002
   van Aalst MK, 2008, GLOBAL ENVIRON CHANG, V18, P165, DOI 10.1016/j.gloenvcha.2007.06.002
   Van Horn C.E., 2001, POLITICS PUBLIC POLI
   Vasseur L., 2010, International Journal of Climate Change: Impacts and Responses, V2, P115
   Wagner G, 2012, CLIMATIC CHANGE, V110, P507, DOI 10.1007/s10584-011-0067-z
   Wakeford C., 2006, Municipal World, V116, P17
   Wallner J, 2008, POLICY STUD J, V36, P421, DOI 10.1111/j.1541-0072.2008.00275.x
   Walters LC, 2000, PUBLIC ADMIN REV, V60, P349, DOI 10.1111/0033-3352.00097
   Westerhoff L, 2010, DEVELOPING ADAPTATION POLICY AND PRACTICE IN EUROPE: MULTI-LEVEL GOVERNANCE OF CLIMATE CHANGE, P271, DOI 10.1007/978-90-481-9325-7_7
   Wigley TML, 2005, SCIENCE, V307, P1766, DOI 10.1126/science.1103934
   Wilson E, 2006, LOCAL ENVIRON, V11, P609, DOI 10.1080/13549830600853635
   Wong PP, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P361
   Wu X., 2010, The Public Policy Primer - Managing the Policy Process
   Wyborn C, 2014, GLOBAL ENVIRON CHANG, V24, P5, DOI 10.1016/j.gloenvcha.2013.11.020
   Yin RK., 2013, Applications of case study research (applied social research methods)
NR 144
TC 143
Z9 176
U1 3
U2 68
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-3780
EI 1872-9495
J9 GLOBAL ENVIRON CHANG
JI Glob. Environ. Change-Human Policy Dimens.
PD MAR
PY 2015
VL 31
BP 110
EP 120
DI 10.1016/j.gloenvcha.2015.01.001
PG 11
WC Environmental Sciences; Environmental Studies; Geography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA CJ3BU
UT WOS:000355359200011
DA 2025-01-10
ER

PT J
AU Allen, F
AF Allen, Fidelis
TI Nigeria: Decolonial Climate Adaptation and Conflict. Evidence from
   Coastal Communities of the Niger Delta
SO CONFLICT STUDIES QUARTERLY
LA English
DT Article
DE Decolonisation; climate; adaptation; development; Africa; Nigeria;
   coastal commu-nities
AB The paper proceeds on the assumption that decoloniality matters in tackling the global climate crisis, conflict, and development at the community level across countries with high vulnerabilities. Africa remains one of the most vulnerable regions in the world. By examin-ing what decolonisation means in climate adaptation and the experience of six communities in three states in the Niger Delta of Nigeria, this article contributes to the conceptualisation of the decolonial discourse of climate adaptation, development and conflict understood as conditions favourable to the crisis. I analysed qualitative data obtained from the coastal communities through observation, focus group discussions, and interviews. The results showed a reinforcement of positions in a segment of the literature on decolonial climate adaptation in communities in some parts of the world. Migration, alternative sources of livelihood, embarkment of shorelines, skills development, vocations, and infrastructure development are among legitimate adaptive mea-sures local communities are adopting. At the same time, maladaptive measures such as piracy, kidnapping, illegal oil refining, and gangsterism are common. These antisocial behaviours lead to conflict and contribute to making climate change a very complex problem. Decolonial climate ad-aptation requires collaborative interventions at the level of the community, sub-national, nation-al, and multilateral fronts. The fact that climate change is a global problem with unequal impact means that the capacity to respond well to it at the community, sub-national, national, regional, continental, and international levels is crucial in addressing the crisis. The role of decoloniality in the handling of the effects of climate change in the community may take the form of integration of local and western knowledge. The decolonial framework would appear to be elastic with a potential conceptual role of critical assessment of existing frameworks, outcomes, impact, and power relations. One of the striking messages in this analysis is the likely role of local knowledge in reducing the risk of social tension and criminal conflict, and the need to strengthen it to in-crease the resilience and well-being of people.
C1 [Allen, Fidelis] Univ Port Harcourt, Dept Polit & Adm Studies, Port Harcourt, Rivers State, Nigeria.
   [Allen, Fidelis] Univ Johannesburg, Inst Pan African Thought & Conversat, Johannesburg, South Africa.
C3 University of Port Harcourt; University of Johannesburg
RP Allen, F (corresponding author), Univ Port Harcourt, Dept Polit & Adm Studies, Port Harcourt, Rivers State, Nigeria.; Allen, F (corresponding author), Univ Johannesburg, Inst Pan African Thought & Conversat, Johannesburg, South Africa.
EM idelis.allen@uniport.edu.ng
RI Allen, Fidelis/JAC-3230-2023
CR Amnesty International, 2015, Angola and Namibia: Human rights abuses in border area.
   [Anonymous], 2021, BBCNovember 27
   [Anonymous], 2017, ECONOMIST
   [Anonymous], 2021, The NamibianNovember 27
   [Anonymous], 2017, BBCDecember 25
   [Anonymous], 2018, ALL AFRICA 0611
   [Anonymous], 2021, DIST COUNTR RES ASP
   [Anonymous], 2021, SPIEGEL 1127
   Boden G., 2009, Namibian Studies
   Brinkman I., 2003, Lusotopie
   Britannica, 2021, GERM S W AFR
   Ciobanu C., 2004, Frozen and forgotten conflicts in postsoviet states
   Darcy J., 2003, According to need? Needs assessment and decision-making in the humanitarian sector
   De Waal T., 2020, Beyond frozen conflict
   Distance Calculator, DIST NAM FRANC COUNT
   Federal Ministry for Economic Cooperation and Development ( FMECD), Namibia FMECD
   Forrest JoshuaB., 2003, SUBNATIONALISM AFRIC
   Freeaman L, 1991, Journal of Global Policy Analysis, V46, P687
   Gaborone Declaration, Namibia-Gaborone Declaration: Declaration for sustainability in Africa.
   Gartzke Erik., 2006, AFFINITY NATIONS IND
   Harring S. L., 2012, Land rights, conflict and law in Namibia's Caprivi region
   Heidelberg Institute for International Conflict Research, 2021, CONFL BAR
   Holsti K.J, 1991, Armed conflicts and international order
   Horn N., 2009, Namibian Studies
   Ifex, 2011, 10 YEAR OLD ADV BAN
   IRIN, 1999, WEEKL ROUND 32 COV P
   Kappel R, 2014, STRATEG ANAL, V38, P341, DOI 10.1080/09700161.2014.895237
   Melber H, 2009, J CONTEMP AFR STUD, V27, P463, DOI 10.1080/02589000903399454
   Mwilima F. J., 2008, Practical reality of media freedom: An examination of the challenges facing the Namibian media
   Nangoloh P., 2013, NAMRIGHTS
   Narang N, 2016, INT INTERACT, V42, P189, DOI 10.1080/03050629.2016.1080697
   Nielson P., 2002, Dropping of the map: Why are some conflicts forgotten?
   Olusoga D., 2015, The GuardianApril 18
   Prendergast John., 1999, ANGOLAS DEADLY WAR
   Press Reference, 2021, REP NAM MED HIST
   Sakeus L., 2017, The Namibian
   Smith D. M., 2015, Causes and effects of 20th century wars
   Smolik J., 2010, Vybrane bezpecnostni hrozby a rizika 21. stoleti
   Tisdall S., 2019, The GuardianJune 9
   Totemeyer G., 2007, The Management of a dominant political party system with particular reference to Namibia
   UCDP, 2021, Battle related deaths dataset 1989-2020
   Williams C.A., 2009, EXILE HIST ETHNOGRAP
NR 42
TC 0
Z9 0
U1 1
U2 4
PU ACCENT PUBLISHER
PI CLUJ NAPOCA
PA ACCENT PUBLISHER, CLUJ NAPOCA, 00000, ROMANIA
SN 2285-7605
J9 CONFL STUD Q
JI Confl. Stud. Q.
PD JAN
PY 2023
IS 42
BP 3
EP 23
DI 10.24193/csq.42.1
PG 23
WC Political Science
WE Emerging Sources Citation Index (ESCI)
SC Government & Law
GA 7U3LX
UT WOS:000912037100001
OA gold
DA 2025-01-10
ER

PT J
AU Elsayed, AS
   El Siedy, R
   Mustafa, IK
AF Elsayed, Amira Sadik
   El Siedy, Rehab
   Mustafa, Islam Kamal
TI Burj Rashid: a tale of two tides - rising waters and changing traditions
SO JOURNAL OF CULTURAL HERITAGE MANAGEMENT AND SUSTAINABLE DEVELOPMENT
LA English
DT Article
DE Rashid-Rosetta; Climate change; Tangible heritage; Intangible heritage;
   Resilience; Risk; Mitigation; Sycamore; Early warning; Fishing;
   Agriculture; Nile delta
AB PurposeThis paper delves into the traditional ecological knowledge (TEK) and practices of Burj Rashid, an ancient historical city on Egypt's northern coast, which stands at the meeting point of the Nile's western branch and the Mediterranean Sea. Burj Rashid boasts a strategic location and rich natural resources and has a long history of relationships between land, people, river, sea and climate change, serving as a model for residents' adaptation to their ever-changing surroundings.Design/methodology/approachClimate studies have exposed the village's vulnerability to climate and topographical hazards such as rising temperatures, shifting weather patterns, decreasing precipitation, encroaching seas due to sea level rise, coastal erosion and high soil salinization. These factors pose a high risk of water scarcity, crop failure in the medium term, potential famine in the long term and declining fish populations, threatening fishing communities. To address these challenges, the Net Zero: Heritage for Climate Action project - launched by the International Centre for the Study of the Preservation and Restoration of Cultural Property (ICCROM) and the First Aid and Resilience for Culture in Times of Crisis program, funded by Swedish Postcode - proposes a research and development methodology through a platform that weaves together heritage knowledge and climate science. The Egyptian Heritage Rescue Foundation has implemented a platform in Burj Rashid as an innovative site to study risks, vulnerabilities and capacities.FindingsThe project will explore root causes, identify risk scenarios and establish a stakeholder map to guide the development of mitigation strategies and resilience-building measures.Originality/valueBy harnessing the wisdom of TEK and integrating it with scientific knowledge, the project paves the way for innovative climate change adaptation strategies that ensure the long-term sustainability of Burj Rashid's unique cultural heritage.
C1 [Elsayed, Amira Sadik; El Siedy, Rehab] Egyptian Heritage Rescue Fdn EHRF, Cairo, Egypt.
   [Mustafa, Islam Kamal] Univ EL Sadat City, Menoufia, Egypt.
C3 Egyptian Knowledge Bank (EKB); University of Sadat City
RP Elsayed, AS (corresponding author), Egyptian Heritage Rescue Fdn EHRF, Cairo, Egypt.
EM amira@ehrf-egypt.com; rehabelsiedy@cu.edu.eg; Islam.kamal323@gmail.com
CR Abd-El Monsef H, 2015, WATER RESOUR MANAG, V29, P1873, DOI 10.1007/s11269-015-0916-z
   Abdel-Messih I., 1892, INDICATEUR VALLEE NI
   [Anonymous], About us
   Azam Y., 2008, PLANNING PROJECT REP, P7
   Balbaa S.H., 2020, J OCEANOGR MAR ENV S, V4, P29
   Doyle C., 1803, NONMILITARY J OBSERV
   environmentamerica.org, US
   Fouda Y. E., 2001, Urban Ecosystems, V5, P5, DOI 10.1023/A:1021818317675
   Intergovernmental Panel on Climate Change, INTERACTIVE ATLAS RE
   Mohamed N.N., 2019, INT J DEV RES, V9, P28861
   Muhammad A., 2013, ENV ASSESSMENT UNPUB
   Sonnini C.N.S., 1789, VOYAGE HAUTE BASSE E, P1885
   Taia W., 2019, INT J ADV RES PUBLIC, V3, P125
   UNDP, 2018, ENHANCING CLIMATE CH
   Woodward J.C., 2007, LARGE RIVERS GEOMORP, P263
   Youssef A.M.M., 2021, RASHID CITY 10 UNPUB
NR 16
TC 0
Z9 0
U1 3
U2 3
PU EMERALD GROUP PUBLISHING LTD
PI Leeds
PA Floor 5, Northspring 21-23 Wellington Street, Leeds, W YORKSHIRE,
   ENGLAND
SN 2044-1266
EI 2044-1274
J9 J CULT HERIT MANAG S
JI J. Cult. Herit. Manag. Sustain. Dev.
PD NOV 1
PY 2024
VL 14
IS 5
SI SI
BP 782
EP 786
DI 10.1108/JCHMSD-06-2024-0158
EA OCT 2024
PG 5
WC Green & Sustainable Science & Technology
WE Emerging Sources Citation Index (ESCI)
SC Science & Technology - Other Topics
GA K8P6R
UT WOS:001329784300001
DA 2025-01-10
ER

PT J
AU Mondo, JM
   Chuma, GB
   Matiti, HM
   Kihye, JB
   Bagula, EM
   Karume, K
   Kahindo, C
   Egeru, A
   Majaliwa, JGM
   Agre, PA
   Adebola, PA
   Asfaw, A
AF Mondo, Jean M.
   Chuma, Geant B.
   Matiti, Henri M.
   Kihye, Jacques B.
   Bagula, Espoir M.
   Karume, Katcho
   Kahindo, Charles
   Egeru, Anthony
   Majaliwa, Jackson-Gilbert M.
   Agre, Paterne A.
   Adebola, Patrick A.
   Asfaw, Asrat
TI Crop calendar optimization for climate change adaptation in yam farming
   in South-Kivu, eastern DR Congo
SO PLOS ONE
LA English
DT Article
ID Y-CHROMOSOME; POPULATIONS; GENEALOGY; KAZAKH; CLAN
AB The traditional crop calendar for yam (Dioscorea spp.) in South-Kivu, eastern Democratic Republic of Congo (DRC), is becoming increasingly inadequate given the significant climatic variability observed over the last three decades. This study aimed at: (i) assessing trends in weather data across time and space to ascertain climate change, and (ii) optimizing the yam crop calendar for various South-Kivu agro-ecological zones (AEZs) to adapt to the changing climate. The 1990-2022 weather data series were downloaded from the NASA-MERRA platform, bias correction was carried out using local weather stations' records, and analyses were performed using RClimDex 1.9. Local knowledge and CROPWAT 8.0 were used to define planting dates for yam in different AEZs. Results showed the existence of four AEZs in the South-Kivu province, with contrasting altitudes, temperatures, and rainfall patterns. Climate change is real in all these South-Kivu's AEZs, resulting either in rainfall deficits in some areas, or extreme rainfall events in others, with significant temperature increases across all AEZs. Suitable yam planting dates varied with AEZs, September 15th and 20th were recommended for the AEZ 2 while October 15th was optimal for AEZ 1, AEZ 3, and AEZ 4. However, none of the planting date scenarios could meet the yam water requirements in AEZ1, AEZ3, and AEZ4, since the effective rainfall (Pmm) was always inferior to the plant water demand (ETc), meaning that soil water conservation practices are needed for optimum plant growth and yield in these AEZs. This study does not recommend planting yam during the short rainy season owing to prolonged droughts coinciding with critical growth phases of yam, unless supplemental irrigation is envisaged. This study provided insights on the nature of climate change across the past three decades and suggested a yam crop calendar that suits the changing climate of eastern DRC.
C1 [Mondo, Jean M.; Chuma, Geant B.; Matiti, Henri M.; Kihye, Jacques B.; Bagula, Espoir M.; Karume, Katcho] Univ Evangel Africa UEA, Fac Agr & Environm Sci, Bukavu, DEM REP CONGO.
   [Mondo, Jean M.; Chuma, Geant B.; Karume, Katcho; Kahindo, Charles] Univ Evangel Africa UEA, Doctoral Sch Agroecol & Climate Sci, Bukavu, DEM REP CONGO.
   [Mondo, Jean M.] Univ Officielle Bukavu UOB, Dept Agr, Bukavu, DEM REP CONGO.
   [Chuma, Geant B.] Univ Liege, Dept Geog, Laplec UR SPHERES, Liege, Belgium.
   [Kahindo, Charles] Univ Officielle Bukavu UOB, Fac Sci, Bukavu, DEM REP CONGO.
   [Egeru, Anthony; Majaliwa, Jackson-Gilbert M.] Makerere Univ, RUFORUM, Main Campus, Kampala, Uganda.
   [Agre, Paterne A.; Adebola, Patrick A.; Asfaw, Asrat] Int Inst Trop Agr IITA, Ibadan, Nigeria.
C3 Official University of Bukavu; University of Liege; Official University
   of Bukavu; Makerere University; CGIAR; International Institute of
   Tropical Agriculture (IITA)
RP Chuma, GB (corresponding author), Univ Evangel Africa UEA, Fac Agr & Environm Sci, Bukavu, DEM REP CONGO.; Chuma, GB (corresponding author), Univ Evangel Africa UEA, Doctoral Sch Agroecol & Climate Sci, Bukavu, DEM REP CONGO.; Chuma, GB (corresponding author), Univ Liege, Dept Geog, Laplec UR SPHERES, Liege, Belgium.
EM geantchuma@uea.ac.cd
RI Egeru, Anthony/AAA-2167-2020; GEANT, CHUMA BASIMINE/ABI-0319-2022
OI GEANT, CHUMA BASIMINE/0000-0002-9023-2395
FU Bill & Melinda Gates Foundation (BMGF) through the RTB Breeding project
   of the International Institute of Tropical Agriculture (IITA)
   [INV-003446]; Carnegie Cooperation of New York through the Regional
   University Forum for Capacity Building in Agriculture (RUFORUM)
   [RU/2024/Post-Doc/02]; Bill and Melinda Gates Foundation [INV-003446]
   Funding Source: Bill and Melinda Gates Foundation
FX Bill & Melinda Gates Foundation (BMGF) through the RTB Breeding project
   of the International Institute of Tropical Agriculture (IITA)
   (INV-003446); Carnegie Cooperation of New York through the Regional
   University Forum for Capacity Building in Agriculture (RUFORUM), grant
   No RU/2024/Post-Doc/02. The funders had no role in study design, data
   collection and analysis, decision to publish, or preparation of the
   manuscript.
CR Abilev S, 2012, HUM BIOL, V84, P79, DOI 10.3378/027.084.0106
   Amanzholov S., 1959, Questions of dialectology and history of the Kazakh language
   [Anonymous], 2020, 2020 Population and Housing Census of Mongolia: National Report
   Ashirbekov Y, 2023, BMC GENOMICS, V24, DOI 10.1186/s12864-023-09753-z
   Ashirbekov Y, 2023, ANN HUM BIOL, V50, P48, DOI 10.1080/03014460.2023.2170465
   Ashirbekov Y, 2022, GENES-BASEL, V13, DOI 10.3390/genes13101826
   Ashirbekov Y, 2022, ANN HUM BIOL, V49, P87, DOI 10.1080/03014460.2022.2039292
   Balanovsky O, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0122968
   Ballantyne KN, 2010, AM J HUM GENET, V87, P341, DOI 10.1016/j.ajhg.2010.08.006
   BANDELT HJ, 1995, GENETICS, V141, P743
   Beysenbayuly Z, 1994, Kazakh shezhire
   Bregel Yuri., 2003, HIST ATLAS CENTRAL A
   Calafell F, 2017, HUM GENET, V136, P559, DOI 10.1007/s00439-016-1740-0
   Chan SC, 2000, CALIF HIST, V79, P44, DOI 10.2307/25463688
   Chukhryaeva M I, 2016, Genetika, V52, P595
   Esenova Saulesh., 2002, J MUSLIM MINOR AFF, V22, P11, DOI 10.1080/13602000220124818
   Gómez R, 2021, ISCIENCE, V24, DOI 10.1016/j.isci.2021.102487
   Gouy A, 2017, FORENSIC SCI INT-GEN, V30, P148, DOI 10.1016/j.fsigen.2017.07.007
   Jobling MA, 2017, NAT REV GENET, V18, P485, DOI 10.1038/nrg.2017.36
   Khussainova E, 2022, FRONT GENET, V12, DOI 10.3389/fgene.2021.801295
   Larmuseau MHD, 2019, CURR BIOL, V29, P4102, DOI 10.1016/j.cub.2019.09.075
   Massanov NE, 2011, Nomadic civilization of Kazakhs: the basics migratory habits of life of society
   Mukanov M., 1974, Ethnic composition and settlement of the Kazakhs of the Middle Zhuz
   Petrov V, 2003, The rebellious "heart"of Asia: Xinjiang, a brief history of popular movements and memories
   Rakishev R., 2015, Reports of the National Academy of Sciences of the Republic of Kazakhstan, V3, P193
   Rakisheva B., 2015, Central Asia and the Caucasus, V18, P128
   Rashid a-D., 1952, Collection of Histories
   Sadibekov Z., Kazakh Shezhiresi
   Sahakyan H, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-85883-2
   Shakarim K., 1990, Genealogy of the Turks, Kyrgyz, Kazakhs and Khan dynasties
   Tynyshpaev M, 2006, History, Ethnography and Archeology of the Kazakh People
   Vostrov VV, 1968, Tribal composition and settlement of the Kazakhs (late XIX-early XX centuries)
   Wang BY, 2023, FRONT ECOL EVOL, V11, DOI 10.3389/fevo.2023.1264718
   Wei LH, 2018, EUR J HUM GENET, V26, P230, DOI 10.1038/s41431-017-0012-3
   Wen SQ, 2020, J HUM GENET, V65, P797, DOI 10.1038/s10038-020-0759-1
   Wen SQ, 2019, J HUM GENET, V64, P815, DOI 10.1038/s10038-019-0618-0
   Zerjal T, 2003, AM J HUM GENET, V72, P717, DOI 10.1086/367774
   Zhabagin MK, 2018, VAVILOVSKII ZH GENET, V22, P895, DOI 10.18699/VJ18.431
   Zhabagin M, 2022, GENES-BASEL, V13, DOI 10.3390/genes13101776
   Zhabagin M, 2021, J HUM GENET, V66, P707, DOI 10.1038/s10038-021-00901-5
   Zhabagin M, 2020, BMC GENET, V21, DOI 10.1186/s12863-020-00897-5
   Zhabagin M, 2019, INT J LEGAL MED, V133, P1029, DOI 10.1007/s00414-018-1859-8
   Zhabagin M, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-03176-z
NR 43
TC 0
Z9 0
U1 1
U2 1
PU PUBLIC LIBRARY SCIENCE
PI SAN FRANCISCO
PA 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA
SN 1932-6203
J9 PLOS ONE
JI PLoS One
PD SEP 4
PY 2024
VL 19
IS 9
AR e0309775
DI 10.1371/journal.pone.0309775
PG 26
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA F2U8O
UT WOS:001308434600006
PM 39231177
OA gold
DA 2025-01-10
ER

PT J
AU Guignabert, A
   Jonard, M
   Messier, C
   André, F
   de Coligny, F
   Doyon, F
   Ponette, Q
AF Guignabert, Arthur
   Jonard, Mathieu
   Messier, Christian
   Andre, Frederic
   de Coligny, Francois
   Doyon, Frederik
   Ponette, Quentin
TI Adaptive forest management improves stand-level resilience of temperate
   forests under multiple stressors
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Adaptive forest management; Disturbances; Functional diversity; Forest
   resilience; Process-based modeling; Temperate forests
ID STRUCTURALLY COMPLEX FORESTS; UNCERTAIN FUTURE CONDITIONS; SPATIALLY
   EXPLICIT MODEL; CLIMATE-CHANGE; HETEROFOR 1.0; ADAPTATION; DIVERSITY;
   VULNERABILITY; DISTURBANCES; PERCEPTIONS
AB Forests are expected to be strongly affected by modifications in climate and disturbance regimes, threatening their ability to sustain the provision of essential services. Promoting drought-tolerant species or functionally diverse stands have recently emerged as management options to cope with global change. Our study aimed at evaluating the impact of contrasting stand-level management scenarios on the resilience of temperate forests in eastern North America and central-western Europe using the individual process-based model HETEROFOR. We simulated the evolution of eight stands over 100 years under a future extreme climate according to four management scenarios (business as usual- BAU; climate change adaptation- CC; functional diversity approach- FD; no management- NM) while facing multiple disturbances, resulting in a total of 160 simulations. We found that FD demonstrated the greatest resilience regarding transpiration and tree biomass, followed by CC and then BAU, while these three scenarios were equivalent concerning the net primary production. These results were however dependent on forest type: increasing functional diversity was a powerful option to increase the resilience of coniferous plantations whereas no clear differences between BAU and adaptive management scenarios were detected in broadleaved and mixed stands. The FD promoted a higher level of tree species diversity than any other scenario, and all scenarios of management were similar regarding the amount of harvested wood. The NM always showed the lowest resilience, demonstrating that forest management could be an important tool to mitigate adverse effects of global change. Our study highlighted that tree-level process-based models are a relevant tool to identify suitable management options for adapting forests to global change provided that model limitations are considered, and that alternative management options, particularly those based on functional diversity, are promising and should be promoted from now on.
C1 [Guignabert, Arthur; Jonard, Mathieu; Andre, Frederic; Ponette, Quentin] Catholic Univ Louvain, Earth & Life Inst, Louvain La Neuve, Belgium.
   [Messier, Christian; Doyon, Frederik] Univ Quebec Montreal, Ctr Etud Foret, Montreal, PQ, Canada.
   [Doyon, Frederik] Univ Quebec Outaouais, Inst Sci Foret Temperee, Ripon, PQ, Canada.
   [de Coligny, Francois] Univ Montpellier, AMAP, CIRAD, CNRS,IRD,INRAE, Montpellier, France.
C3 Universite Catholique Louvain; University of Quebec; University of
   Quebec Montreal; University of Quebec; University Quebec Outaouais;
   Universite de Montpellier; INRAE; Institut de Recherche pour le
   Developpement (IRD); CIRAD; Centre National de la Recherche Scientifique
   (CNRS)
RP Guignabert, A (corresponding author), Catholic Univ Louvain, Earth & Life Inst, Louvain La Neuve, Belgium.
EM arthur.guignabert@uclouvain.be
RI Guignabert, Arthur/AAM-8010-2021
OI Guignabert, Arthur/0000-0002-1512-6760
FU Fonds de Recherche du Quebec (FRQ); Fonds de la Recherche Scientifique
   (FNRS) [PINT-BILAT-P - R.P00419]; FNRS - Public Service of
   Wallonia/Regional Forest Service (SPW-DNF)
FX This study was supported by the Fonds de Recherche du Quebec (FRQ) and
   the Fonds de la Recherche Scientifique (FNRS) through the project
   "Forests in an uncertain context: comparing contrasting strategies of
   risk management at the local and regional scales" (contract PINT-BILAT-P
   - R.P00419) . AG is funded by a postdoctoral grant from the FNRS in the
   framework of this project, and MJ was supported through the 5-year
   forest research program "Accord-cadre de recherche et de vulgarisation
   forestie`res"res" funded by the Public Service of Wallonia/Regional
   Forest Service (SPW-DNF) .
CR AFBF, 2015, Plan de protection et de mise en valeur des forets privees du Centre-duQuebec, V2
   AFBF, 2015, Plan de protection et de mise en valeur des forets privees du Centre-duQuebec, V1
   Albrich K, 2020, GLOBAL ECOL BIOGEOGR, V29, P2082, DOI 10.1111/geb.13197
   Alderweireld M., 2015, Resultats 1994-2012
   André F, 2021, ANN FOREST SCI, V78, DOI 10.1007/s13595-021-01106-8
   Aquilué N, 2021, FOREST ECOL MANAG, V481, DOI 10.1016/j.foreco.2020.118692
   Aquilué N, 2020, ECOL APPL, V30, DOI 10.1002/eap.2095
   Aubin I, 2016, ENVIRON REV, V24, P164, DOI 10.1139/er-2015-0072
   Aussenac R, 2017, J ECOL, V105, P1010, DOI 10.1111/1365-2745.12728
   Ball J.T., 1987, Prog. Photosynth. Res., P221, DOI [10.1007/978-94-017-0519-6_48, 10.1007/978-94-017-0519, 10.1007/978-94-017-0519-648, DOI 10.1007/978-94-017-0519-6_48]
   Barrere J, 2024, FUNCT ECOL, V38, P500, DOI 10.1111/1365-2435.14489
   Barrere J, 2023, GLOBAL CHANGE BIOL, V29, P2836, DOI 10.1111/gcb.16630
   Barton KE, 2010, AM NAT, V175, P481, DOI 10.1086/650722
   Biswas SR, 2011, ECOSPHERE, V2, DOI 10.1890/ES10-00206.1
   Boisvert-Marsh L, 2020, FORESTS, V11, DOI 10.3390/f11090989
   Brockerhoff EG, 2017, BIODIVERS CONSERV, V26, P3005, DOI 10.1007/s10531-017-1453-2
   Bugmann H, 2019, ECOSPHERE, V10, DOI 10.1002/ecs2.2616
   Chao AN, 2014, ANNU REV ECOL EVOL S, V45, P297, DOI 10.1146/annurev-ecolsys-120213-091540
   Courbaud B, 2003, AGR FOREST METEOROL, V116, P1, DOI 10.1016/S0168-1923(02)00254-X
   de Wergifosse L, 2022, SCI TOTAL ENVIRON, V806, DOI 10.1016/j.scitotenv.2021.150422
   de Wergifosse L, 2020, ANN FOREST SCI, V77, DOI 10.1007/s13595-020-00966-w
   de Wergifosse L, 2020, GEOSCI MODEL DEV, V13, P1459, DOI 10.5194/gmd-13-1459-2020
   del Río M, 2021, FOREST ECOL MANAG, V489, DOI 10.1016/j.foreco.2021.119138
   del Río M, 2017, J ECOL, V105, P1032, DOI 10.1111/1365-2745.12727
   Depauw L, 2024, CURR FOR REP, V10, P1, DOI 10.1007/s40725-023-00208-y
   Díaz-Yáñez O, 2024, ECOSPHERE, V15, DOI 10.1002/ecs2.4807
   Dufour-Kowalski S, 2012, ANN FOREST SCI, V69, P221, DOI 10.1007/s13595-011-0140-9
   Dufrêne E, 2005, ECOL MODEL, V185, P407, DOI 10.1016/j.ecolmodel.2005.01.004
   Duveneck MJ, 2016, LANDSCAPE ECOL, V31, P669, DOI 10.1007/s10980-015-0273-6
   FARQUHAR GD, 1980, PLANTA, V149, P78, DOI 10.1007/BF00386231
   Fontes L, 2010, FOREST SYST, V19, P8
   Forrester DI, 2016, CURR FOR REP, V2, P45, DOI 10.1007/s40725-016-0031-2
   Gardiner B, 2021, J FOREST RES-JPN, V26, P248, DOI 10.1080/13416979.2021.1940665
   Griess VC, 2011, CAN J FOREST RES, V41, P1141, DOI [10.1139/X11-042, 10.1139/x11-042]
   Guignabert Arthur, 2024, Zenodo, DOI 10.5281/ZENODO.11091157
   Guignabert A, 2023, GEOSCI MODEL DEV, V16, P1661, DOI 10.5194/gmd-16-1661-2023
   Gustafson EJ, 2023, FOREST ECOL MANAG, V529, DOI 10.1016/j.foreco.2022.120723
   Hale SE, 2015, ENVIRON MODELL SOFTW, V68, P27, DOI 10.1016/j.envsoft.2015.01.016
   Hale SE, 2012, EUR J FOREST RES, V131, P203, DOI 10.1007/s10342-010-0448-2
   Hengl T, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0169748
   Hersbach H, 2020, Q J ROY METEOR SOC, V146, P1999, DOI 10.1002/qj.3803
   Hof AR, 2017, ECOSPHERE, V8, DOI 10.1002/ecs2.1981
   Intergovernmental Panel on Climate Change (IPCC), 2023, Climate Change 2021The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel On Climate Change, DOI [10.1017/9781009325844.001, DOI 10.1017/9781009157940, 10.1017/9781009157896]
   Irauschek F, 2021, ECOL MODEL, V445, DOI 10.1016/j.ecolmodel.2021.109493
   Jactel H, 2017, CURR FOR REP, V3, P223, DOI 10.1007/s40725-017-0064-1
   Jandl R, 2019, ANN FOREST SCI, V76, DOI 10.1007/s13595-019-0827-x
   Jonard M, 2020, GEOSCI MODEL DEV, V13, P905, DOI 10.5194/gmd-13-905-2020
   Jonard76, 2019, Zenodo, DOI 10.5281/ZENODO.3591348
   Jourdan M, 2021, EUR J FOREST RES, V140, P273, DOI 10.1007/s10342-020-01329-w
   Kneeshaw DD, 2021, CURR FOR REP, V7, P97, DOI 10.1007/s40725-021-00140-z
   Lindner M, 2010, FOREST ECOL MANAG, V259, P698, DOI 10.1016/j.foreco.2009.09.023
   Maréchaux I, 2021, ECOL EVOL, V11, P3746, DOI 10.1002/ece3.7391
   Meinshausen M, 2020, GEOSCI MODEL DEV, V13, P3571, DOI 10.5194/gmd-13-3571-2020
   Messier C, 2019, FOR ECOSYST, V6, DOI 10.1186/s40663-019-0166-2
   MFFP, 2021, Inventaire ecoforestier
   Michalet R, 2024, OIKOS, V2024, DOI 10.1111/oik.10248
   Mina M, 2022, GLOBAL CHANGE BIOL, V28, P4323, DOI 10.1111/gcb.16197
   Mitchell SJ, 2013, FORESTRY, V86, P147, DOI 10.1093/forestry/cps058
   Monteith J L, 1965, Symp Soc Exp Biol, V19, P205
   Mori AS, 2017, J APPL ECOL, V54, P12, DOI 10.1111/1365-2664.12669
   Niinemets Ü, 2006, ECOL MONOGR, V76, P521, DOI 10.1890/0012-9615(2006)076[0521:TTSDAW]2.0.CO;2
   Nikinmaa L, 2020, CURR FOR REP, V6, P61, DOI 10.1007/s40725-020-00110-x
   Palik BJ, 2022, ECOSPHERE, V13, DOI 10.1002/ecs2.4260
   Pan YD, 2013, ANNU REV ECOL EVOL S, V44, P593, DOI 10.1146/annurev-ecolsys-110512-135914
   Pardos M, 2021, FOREST ECOL MANAG, V481, DOI 10.1016/j.foreco.2020.118687
   Patacca M, 2023, GLOBAL CHANGE BIOL, V29, P1359, DOI 10.1111/gcb.16531
   Pretzsch H, 2015, ECOL MODEL, V313, P276, DOI 10.1016/j.ecolmodel.2015.06.044
   Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   Rahman MA, 2019, URBAN ECOSYST, V22, P683, DOI 10.1007/s11252-019-00853-x
   Ravenscroft C, 2010, ECOL APPL, V20, P327, DOI 10.1890/08-1698.1
   Ryelandt B, 2019, Modeling Oak and Beech Regeneration in Mixed and Uneven-aged Forests: A Process-Based Approach for Changing Environments
   Saucier J.-P., 1994, Le point d'observation ecologique
   Sebald J, 2021, J APPL ECOL, V58, P1749, DOI 10.1111/1365-2664.13912
   Seidl R, 2017, NAT CLIM CHANGE, V7, P395, DOI [10.1038/NCLIMATE3303, 10.1038/nclimate3303]
   Seidl R, 2011, CAN J FOREST RES, V41, P694, DOI [10.1139/X10-235, 10.1139/x10-235]
   Sommerfeld A, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-06788-9
   Sousa-Silva R, 2018, FOREST POLICY ECON, V90, P22, DOI 10.1016/j.forpol.2018.01.004
   Steenberg JWN, 2013, ANN FOREST SCI, V70, P61, DOI 10.1007/s13595-012-0235-y
   Strickland MK, 2024, FRONT ECOL ENVIRON, V22, DOI 10.1002/fee.2703
   Testolin Riccardo, 2023, Sci Total Environ, V857, P159361, DOI 10.1016/j.scitotenv.2022.159361
   Thom D, 2016, BIOL REV, V91, P760, DOI 10.1111/brv.12193
   Tricot C., 2015, Foret. Nature, V135, P48
   van Lierop P, 2015, FOREST ECOL MANAG, V352, P78, DOI 10.1016/j.foreco.2015.06.010
   Viljur ML, 2022, BIOL REV, V97, P1930, DOI 10.1111/brv.12876
   Walters MB, 2020, FOREST ECOL MANAG, V467, DOI 10.1016/j.foreco.2020.118134
   Warner E, 2023, FRONT FOR GLOB CHANG, V6, DOI 10.3389/ffgc.2023.1226514
   Yousefpour R, 2015, CLIMATIC CHANGE, V130, P273, DOI 10.1007/s10584-015-1330-5
   Zvereva EL, 2020, OECOLOGIA, V193, P167, DOI 10.1007/s00442-020-04659-z
NR 88
TC 5
Z9 5
U1 17
U2 17
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD OCT 20
PY 2024
VL 948
AR 174168
DI 10.1016/j.scitotenv.2024.174168
EA JUL 2024
PG 13
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA ZH4A6
UT WOS:001274380600001
PM 38942315
DA 2025-01-10
ER

PT J
AU Leppänen, PK
   Kinnunen, A
   Hautamäki, R
   Järvi, L
   Havu, M
   Junnila, S
   Tahvonen, O
AF Leppanen, Paula-Kaisa
   Kinnunen, Antti
   Hautamaki, Ranja
   Jarvi, Leena
   Havu, Minttu
   Junnila, Seppo
   Tahvonen, Outi
TI Impact of changing urban typologies on residential vegetation and its
   climate-effects - A case study from Helsinki, Finland
SO URBAN FORESTRY & URBAN GREENING
LA English
DT Article
DE Canopy cover; Carbon sequestration; Residential properties; Urban heat
   island; Urban planning; Urban vegetation
ID GREEN SPACE; WATER-BALANCE; LOS-ANGELES; PATTERNS; GARDENS;
   INFRASTRUCTURE; BIODIVERSITY; ECOSYSTEM; DENSITY; LAWNS
AB Residential green spaces are an integral part of urban green infrastructure and its role in climate change adaptation and mitigation. Various urban typologies and changing planning practices affect the amount and structure of residential greenery, which has a direct impact on climate benefits. While urban green and its climate benefits have received increasing attention, there is still limited knowledge on how changing planning practices and related urban typologies impact residential vegetation and its capacity to deliver climate benefits. This paper aims to address this gap by determining the impact of planning practices on residential vegetation, focussing specifically on climate mitigation and adaptation. With the case study of Helsinki, characterized by a high share of green areas, the paper first examines how construction year and urban density affect the amount and structure of vegetation on residential properties. Second, it estimates the carbon sequestration and summer temperatures in the present-day climate. The paper applies spatial modelling and regression analysis to estimate the impact of construction year on the studied dependent variables, while controlling density via gross floor area of buildings. The study demonstrates that the average amount of residential vegetation, as measured using canopy and vegetation cover, has declined 15 percentage points from the 1970 s to early 2010 s and the canopy to low vegetation ratio has decreased constantly over the periods studied. The decline of the canopy cover in particular has reduced the climate benefits of residential vegetation. The paper highlights the significant impact of gross floor area and planning practices on urban vegetation cover and the climate benefits it provides. It also stresses the importance of ensuring sufficient tree cover and permeable surfaces in cities with progressive climate mitigation agenda throughout the chain of urban planning, construction, and subsequent property management stages.
C1 [Leppanen, Paula-Kaisa; Tahvonen, Outi] Hame Univ Appl Sci, HAMK Bio Res Unit, POB 230, Lepaa 13101, Finland.
   [Kinnunen, Antti; Junnila, Seppo] Aalto Univ, Dept Built Environm, Otakaari 4, Espoo 02150, Finland.
   [Leppanen, Paula-Kaisa; Hautamaki, Ranja] Aalto Univ, Dept Architecture, Otakaari 1X,POB 11000, Aalto, Finland.
   [Jarvi, Leena; Havu, Minttu] Univ Helsinki, Inst Atmospher & Earth Syst Res, Phys, Helsinki, Finland.
   [Jarvi, Leena] Univ Helsinki, Helsinki Inst Sustainabil Sci, Helsinki, Finland.
C3 Hame University of Applied Sciences; Aalto University; Aalto University;
   University of Helsinki; University of Helsinki
RP Leppänen, PK (corresponding author), Aalto Univ, Dept Architecture, Otakaari 1X,POB 11000, Aalto, Finland.
EM paula-kaisa.leppanen@hamk.fi
RI Junnila, Seppo/G-2269-2013; Järvi, Leena/P-5642-2016
OI Hautamaki, Ranja/0000-0002-6867-1367; Havu, Minttu/0000-0002-8379-4656;
   Tahvonen, Outi/0000-0002-4482-0356; Kinnunen, Antti/0000-0002-0349-9412
FU Strategic Research Council of the Research Council of Finland (CO
   -CARBON project) [335201, 335202, 335270, 336238]; Research Council of
   Finland [321527, 337549]; Tiina and Antti Herlin foundation [20200027];
   European Union's Horizon 2020 Research and Innovation Programme
   [101037319]; Academy of Finland (AKA) [335202, 335270, 336238] Funding
   Source: Academy of Finland (AKA)
FX This work was supported by the Strategic Research Council of the
   Research Council of Finland (CO -CARBON project, project numbers:
   335201, 335202, 335270, 336238), the Research Council of Finland funded
   CarboCity (decision number: 321527) and the Atmosphere and Climate
   Competence Center (ACCC, decision number: 337549), Tiina and Antti
   Herlin foundation (20200027) and the European Union's Horizon 2020
   Research and Innovation Programme under grant agreement No 101037319
   (PAUL-Pilot Applications in Urban Landscapes-Towards integrated city
   observatories for greenhouse gases) .
CR Allinson D, 2016, APPL ENERG, V164, P871, DOI 10.1016/j.apenergy.2015.11.054
   Aquilina MC, 2022, EUR PLAN STUD, V30, P1355, DOI 10.1080/09654313.2021.1958758
   Ariluoma M, 2023, ENVIRON DEV, V47, DOI 10.1016/j.envdev.2023.100899
   Ariluoma M, 2021, URBAN FOR URBAN GREE, V57, DOI 10.1016/j.ufug.2020.126939
   Artmann M, 2019, ECOL INDIC, V96, P10, DOI 10.1016/j.ecolind.2017.07.001
   Balikçi S, 2022, J ENVIRON PLANN MAN, V65, P2387, DOI 10.1080/09640568.2021.1971069
   Bengtsson L, 2017, MON WEATHER REV, V145, P1919, DOI 10.1175/MWR-D-16-0417.1
   Boone Christopher G., 2010, Urban Ecosystems, V13, P255, DOI 10.1007/s11252-009-0118-7
   Bostic RW, 2007, REAL ESTATE ECON, V35, P183, DOI 10.1111/j.1540-6229.2007.00187.x
   Brown M., 2020, Sustainability, Restorative to Regenerative
   Brueckner JK, 2011, LECTURES ON URBAN ECONOMICS, P23
   Campello Ricardo J. G. B., 2013, Advances in Knowledge Discovery and Data Mining. 17th Pacific-Asia Conference (PAKDD 2013). Proceedings, P160, DOI 10.1007/978-3-642-37456-2_14
   Camrass K, 2022, BUILD RES INF, V50, P339, DOI 10.1080/09613218.2021.1922266
   Chen G, 2020, ECOL INDIC, V113, DOI 10.1016/j.ecolind.2020.106279
   City of Helsinki, 2022, Municipal Register of the City of Helsinki
   City of Helsinki, 2022, Plan Units of The City of Helsinki
   Clarke LW, 2013, LANDSCAPE URBAN PLAN, V116, P48, DOI 10.1016/j.landurbplan.2013.04.006
   Dallimer M, 2011, BIOL LETTERS, V7, P763, DOI 10.1098/rsbl.2011.0025
   Drebs A, 2023, BOREAL ENVIRON RES, V28, P81
   Ester M., 1996, KDD, V96, P226, DOI DOI 10.5555/3001460.3001507
   European Commission, 2020, Biodiversity Strategy for 2030
   European Council, 2023, Proposal for a Regulation of the European Parliament and of the Council on Nature Restoration
   Eurostat, 2020, Administrative Units - Countries 2020. 1:1000000. GIS dataset
   FMI Finnish Meteorological Institute, 2023, Vuositilastot (Annual statistics. In Finnish)
   Godwin C, 2015, LANDSCAPE URBAN PLAN, V136, P97, DOI 10.1016/j.landurbplan.2014.12.007
   Guisan A, 2000, ECOL MODEL, V135, P147, DOI 10.1016/S0304-3800(00)00354-9
   Guo TD, 2019, LANDSCAPE URBAN PLAN, V190, DOI 10.1016/j.landurbplan.2019.103601
   Hautamäki R, 2022, PLAN PERSPECT, V37, P1179, DOI 10.1080/02665433.2022.2036224
   Hautamäki R, 2022, GEOGR ANN B, V104, P250, DOI 10.1080/04353684.2021.1989320
   Hautamäki R, 2019, J LANDSC ARCHIT, V14, P20
   Havu M, 2024, URBAN FOR URBAN GREE, V94, DOI 10.1016/j.ufug.2024.128261
   Havu Minttu, 2022, Zenodo, DOI 10.5281/ZENODO.7198140
   Hilbert Deborah R., 2019, Arboriculture & Urban Forestry, V45, P167
   HRESA Helsinki Region Environmental Services Authority, Final report
   Hunter MCR, 2012, LANDSCAPE URBAN PLAN, V105, P407, DOI 10.1016/j.landurbplan.2012.01.013
   Jalkanen R., 2017, Kaupunkisuunnittelu ja asuminen
   Järvi L, 2011, J HYDROL, V411, P219, DOI 10.1016/j.jhydrol.2011.10.001
   Järvi L, 2019, J GEOPHYS RES-ATMOS, V124, P8363, DOI 10.1029/2018JD029576
   Kinnunen A, 2022, SUSTAIN CITIES SOC, V84, DOI 10.1016/j.scs.2022.104027
   Klobucar B, 2021, URBAN FOR URBAN GREE, V62, DOI 10.1016/j.ufug.2021.127118
   Kokkonen TV, 2018, WATER RESOUR RES, V54, P6625, DOI 10.1029/2017WR022445
   Kuittinen M, 2023, ARCHIT SCI REV, V66, P91, DOI 10.1080/00038628.2021.1896471
   Li PY, 2021, J ENVIRON MANAGE, V293, DOI 10.1016/j.jenvman.2021.112963
   Lin B, 2015, URBAN FOR URBAN GREE, V14, P952, DOI 10.1016/j.ufug.2015.09.003
   Loram A, 2007, LANDSCAPE ECOL, V22, P601, DOI 10.1007/s10980-006-9051-9
   Lowry JH, 2012, URBAN ECOSYST, V15, P247, DOI 10.1007/s11252-011-0185-4
   Luck GW, 2009, ECOSYSTEMS, V12, P604, DOI 10.1007/s10021-009-9244-6
   Marcotullio PJ, 2013, CLIMATIC CHANGE, V121, P621, DOI 10.1007/s10584-013-0977-z
   Monteiro MV, 2020, FORESTRY, V93, P107, DOI 10.1093/forestry/cpz054
   National Land Survey of Finland, 2021, Administrative boundaries. 1:10000. GIS dataset
   Neyns R, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14041031
   Niemelä J, 2011, URBAN ECOLOGY: PATTERNS, PROCESSES, AND APPLICATIONS, P1
   Nipen TN, 2020, B AM METEOROL SOC, V101, pE43, DOI 10.1175/BAMS-D-18-0237.1
   Nutsford D, 2013, PUBLIC HEALTH, V127, P1005, DOI 10.1016/j.puhe.2013.08.016
   Oikarinen E, 2012, J HOUS ECON, V21, P41, DOI 10.1016/j.jhe.2012.01.004
   Ojala A., 2017, Green Landscapes in the European City, 1750-2010, P71
   Pandit R, 2010, ECOL ECON, V69, P1324, DOI 10.1016/j.ecolecon.2010.01.009
   Pataki DE, 2021, FRONT ECOL EVOL, V9, DOI 10.3389/fevo.2021.603757
   Pauleit S, 2011, URBAN ECOLOGY: PATTERNS, PROCESSES, AND APPLICATIONS, P19
   Zari MP, 2022, NAT CLIM CHANGE, V12, P601, DOI 10.1038/s41558-022-01390-w
   Pont MB, 2021, BUILD CITIES, V2, P378, DOI 10.5334/bc.125
   Raciti SM, 2014, SCI TOTAL ENVIRON, V500, P72, DOI 10.1016/j.scitotenv.2014.08.070
   Raciti SM, 2011, ECOSYSTEMS, V14, P287, DOI 10.1007/s10021-010-9409-3
   Roman LA, 2014, LANDSCAPE URBAN PLAN, V129, P22, DOI 10.1016/j.landurbplan.2014.05.004
   Sinkko H., 2022, Population projections for Helsinki and Helsinki Region 2021-2060
   Smith RM, 2005, LANDSCAPE ECOL, V20, P235, DOI 10.1007/s10980-004-3160-0
   Sousa-Silva R, 2023, URBAN FOR URBAN GREE, V88, DOI 10.1016/j.ufug.2023.128084
   Statistics Finland, 2023, Household-dwelling units and dwelling population by number of persons, number of rooms and type of building, 2005-2022 (116b). Statistics Finland's free-of-charge statistical databases
   Stromberg Jani, 2022, Zenodo, DOI 10.5281/ZENODO.7442799
   Tahvonen O, 2018, LAND USE POLICY, V75, P478, DOI 10.1016/j.landusepol.2018.04.017
   Threlfall CG, 2016, FRONT ECOL EVOL, V4, DOI 10.3389/fevo.2016.00066
   Trammell TLE, 2017, ECOL APPL, V27, P991, DOI 10.1002/eap.1502
   Trammell TLE, 2020, ECOL MONOGR, V90, DOI 10.1002/ecm.1401
   Tratalos J, 2007, LANDSCAPE URBAN PLAN, V83, P308, DOI 10.1016/j.landurbplan.2007.05.003
   Trémeau J, 2024, BIOGEOSCIENCES, V21, P949, DOI 10.5194/bg-21-949-2024
   Trlica A, 2020, SCI TOTAL ENVIRON, V709, DOI 10.1016/j.scitotenv.2019.136196
   Troy AR, 2007, ENVIRON MANAGE, V40, P394, DOI 10.1007/s00267-006-0112-2
   Tzoulas K, 2007, LANDSCAPE URBAN PLAN, V81, P167, DOI 10.1016/j.landurbplan.2007.02.001
   United Nations Department of Economic and Social Affairs Population Division., 2019, STESASERA420 UN POP
   Visscher RS, 2016, LANDSCAPE URBAN PLAN, V146, P1, DOI 10.1016/j.landurbplan.2015.09.001
   Zhou WQ, 2011, LANDSCAPE URBAN PLAN, V102, P54, DOI 10.1016/j.landurbplan.2011.03.009
NR 81
TC 4
Z9 4
U1 18
U2 22
PU ELSEVIER GMBH
PI MUNICH
PA HACKERBRUCKE 6, 80335 MUNICH, GERMANY
SN 1618-8667
EI 1610-8167
J9 URBAN FOR URBAN GREE
JI Urban For. Urban Green.
PD JUN
PY 2024
VL 96
AR 128343
DI 10.1016/j.ufug.2024.128343
EA MAY 2024
PG 12
WC Plant Sciences; Environmental Studies; Forestry; Urban Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Plant Sciences; Environmental Sciences & Ecology; Forestry; Urban
   Studies
GA TM1P8
UT WOS:001241590600001
OA hybrid
DA 2025-01-10
ER

PT J
AU Lebu, S
   Lee, A
   Salzberg, A
   Bauza, V
AF Lebu, Sarah
   Lee, Allison
   Salzberg, Aaron
   Bauza, Valerie
TI Adaptive strategies to enhance water security and resilience in low- and
   middle-income countries: A critical review
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Climate change; Risk; Water availability; Predictability; Reliability
ID CLIMATE-CHANGE ADAPTATION; SUSTAINABLE DEVELOPMENT; RESOURCES
   MANAGEMENT; PRESSURE MANAGEMENT; RIVER-BASIN; IRRIGATION; CHALLENGES;
   CONSUMPTION; ALLOCATION; EFFICIENCY
AB The water sector is facing unprecedented pressures as increased environmental and anthropogenic challenges, such as climate change and rapid urbanization, impact the availability and predictability of safe drinking water. There is a need for practitioners and policymakers to integrate water security and resilience (WS&R) factors into programming to sustain investments in drinking water systems to support associated economic, security, and public health benefits. In response to intensifying impacts from WS&R risks, communities around the world are developing adaptive strategies, and a critical review of these strategies may provide lessons that can be implemented at scale. In this critical review, we systematically screened over 9000 peer-reviewed and grey literature articles and extracted data from relevant studies that propose, pilot, and/or evaluate adaptations in low- and middle-income countries (LMICs) and evaluated the suitability of each adaptation for different contexts. We created a portfolio of adaptive strategies from over 75 LMICs to inform practitioners and policymakers in enhancing the resilience of drinking water systems. Over 20 adaptations were identified, including strategies such as stormwater management, wastewater reuse, non-revenue water reductions, water pricing, and public awareness campaigns. We categorized adaptations by function (improving water management, augmenting existing supplies, reducing water demand) and scale (household, municipal, regional) to provide recommendations tailored to local needs. For each adaptation, we highlighted associated strengths, weaknesses, barriers to adoption, and enabling environments for successful implementation. We propose a novel decision-support tool, called STEP WS&R, that provides a consistent and replicable process for informing high-level investment and policy choices around WS &R. This critical review presents recommendations for practitioners and policymakers to invest in WS &R adaptations, catered to shared risks and contexts.
C1 [Lebu, Sarah; Lee, Allison; Salzberg, Aaron; Bauza, Valerie] Univ N Carolina, Water Inst, Gillings Sch Global Publ Hlth, Chapel Hill, NC 27599 USA.
C3 University of North Carolina; University of North Carolina Chapel Hill
RP Lebu, S (corresponding author), Univ N Carolina, Water Inst, Gillings Sch Global Publ Hlth, Chapel Hill, NC 27599 USA.
EM slebu@unc.edu
FU World Vision; National Institute of Health for Occupational Safety and
   Health [T42-OH008673]
FX This work was supported by the World Vision and the National Institute
   of Health for Occupational Safety and Health [grant number T42-OH008673]
   .
CR Aalami MT, 2020, WATER SUPPLY, V20, P1167, DOI 10.2166/ws.2020.025
   Aartsen M, 2018, REG ENVIRON CHANGE, V18, P2445, DOI 10.1007/s10113-018-1363-1
   Aboelnga H, 2018, J WATER SUPPLY RES T, V67, P384, DOI 10.2166/aqua.2018.180
   Abu-Zreig M, 2019, PHYS CHEM EARTH, V114, DOI 10.1016/j.pce.2019.08.002
   Abughlelesha S.M., 2013, A Review and Analysis of the Impact of Population Growth on Water Resources in Libya
   Abuzied SM, 2017, HYDROGEOL J, V25, P2067, DOI 10.1007/s10040-017-1603-3
   Abuzied SM, 2016, ARAB J GEOSCI, V9, DOI 10.1007/s12517-016-2519-2
   Adham A, 2016, WATER-SUI, V8, DOI 10.3390/w8050198
   Afkhami M, 2021, SOC NATUR RESOUR, V34, P1338, DOI 10.1080/08941920.2021.1953201
   Aidam PW, 2015, AGR WATER MANAGE, V158, P10, DOI 10.1016/j.agwat.2015.04.007
   Aihara Y, 2018, WATER POLICY, V20, P1013, DOI 10.2166/wp.2018.117
   Ajibade FO, 2021, ACTA GEOPHYS, V69, P1367, DOI 10.1007/s11600-021-00611-8
   Akhtar F., 2019, water issues in Himalayan South Asia: internal challenges, disputes and transboundary tensions, P1, DOI [10.1007/978-981-32-9614-5_1, DOI 10.1007/978-981-32-9614-5_1]
   Akuffobea-Essilfie M, 2020, AFR J SCI TECHNOL IN, V12, P443, DOI 10.1080/20421338.2019.1586113
   Alaerts GJ, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11030821
   Alameddine I, 2018, WATER INT, V43, P217, DOI 10.1080/02508060.2017.1416441
   Ali S, 2021, J ENVIRON MANAGE, V280, DOI 10.1016/j.jenvman.2020.111850
   Ali T, 2019, WATER-SUI, V11, DOI 10.3390/w11112259
   Alsaman AS, 2017, ENERGY, V128, P196, DOI 10.1016/j.energy.2017.04.010
   Altai Z, 2012, WATER PRACT TECHNOL, V7, DOI 10.2166/wpt.2012.032
   Amos CC, 2016, WATER-SUI, V8, DOI 10.3390/w8040149
   Anane M, 2014, ENVIRON MONIT ASSESS, V186, P4367, DOI 10.1007/s10661-014-3705-x
   Archidiacono S, 2020, Climate Justice and Community Renewal: Resistance and Grassroots Solutions, P147
   Atmaja RRS, 2019, PROC SPIE, V11311, DOI 10.1117/12.2548473
   Aviso KB, 2018, MANAG ENVIRON QUAL, V29, P63, DOI [10.1108/meq-01-2017-0012, 10.1108/MEQ-01-2017-0012]
   Aye L, 2013, 20TH INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2013), P2360
   Azaizeh H, 2013, WATER SCI TECHNOL, V67, P651, DOI 10.2166/wst.2012.615
   Baba A, 2021, GROUNDWATER SUST DEV, V14, DOI 10.1016/j.gsd.2021.100617
   Baggio G, 2021, SCI TOTAL ENVIRON, V792, DOI 10.1016/j.scitotenv.2021.148230
   Baguma D, 2012, WATER POLICY, V14, P977, DOI 10.2166/wp.2012.021
   Bahmed AT, 2020, WATER RESOUR+, V47, P54, DOI 10.1134/S0097807820010029
   Baig S.P., 2015, Cost and Benefits of Ecosystem Based Adaptation: The Case of the Philippines
   Bakhshianlamouki E, 2020, SCI TOTAL ENVIRON, V708, DOI 10.1016/j.scitotenv.2019.134874
   Balaei B, 2019, DISASTER PREV MANAG, V28, P706, DOI 10.1108/DPM-08-2018-0278
   Bashar MZI, 2018, RESOUR CONSERV RECY, V133, P146, DOI 10.1016/j.resconrec.2018.01.025
   Benedict S, 2019, WATER-SUI, V11, DOI 10.3390/w11061156
   Bernard Barasa, 2020, ScientificWorldJournal, V2020, P7196342, DOI 10.1155/2020/7196342
   Bhatia N, 2018, WATER-SUI, V10, DOI 10.3390/w10101311
   Boelee E, 2017, WATER POLICY, V19, P820, DOI 10.2166/wp.2017.105
   Booysen E., 2021, African Journal of Hospitality, Tourism and Leisure, V10, P1229, DOI [10.46222/ajhtl.19770720-159, DOI 10.46222/AJHTL.19770720-159]
   Booysen MJ, 2019, WATER RES, V149, P414, DOI 10.1016/j.watres.2018.11.035
   Bozorg-Haddad O, 2020, ENVIRON MONIT ASSESS, V192, DOI 10.1007/s10661-019-8011-1
   Braga B, 2016, WATER POLICY, V18, P52, DOI 10.2166/wp.2016.113
   Cai BM, 2019, J CLEAN PROD, V207, P1112, DOI 10.1016/j.jclepro.2018.10.077
   Candido LA, 2022, J WATER RES PLAN MAN, V148, DOI 10.1061/(ASCE)WR.1943-5452.0001496
   Carden K, 2021, URBAN PLAN, V6, P110, DOI 10.17645/up.v6i4.4575
   Carvalho ID, 2013, RESOUR CONSERV RECY, V74, P27, DOI 10.1016/j.resconrec.2013.02.016
   Celente GD, 2019, ENVIRON SCI POLLUT R, V26, P9931, DOI 10.1007/s11356-019-04425-6
   Cerro C, 2018, P 2018 ADV SCI ENG T, P1, DOI [10.1109/ICASET.2018.8376754, DOI 10.1109/ICASET.2018.8376754]
   Cesari Giovanni, 2022, Waterlines, V41, P24, DOI 10.3362/1756-3488.18-00036OA
   Chakrabarti R., 2015, Springer Water, P291, DOI [10.1007/978-3-319-10467-6_14, DOI 10.1007/978-3-319-10467-6_14]
   Chakraborti D, 2013, ENVIRON EARTH SCI, V70, P1993, DOI 10.1007/s12665-013-2699-y
   Chang YT, 2015, WATER SCI TECH-W SUP, V15, P1259, DOI 10.2166/ws.2015.092
   Chaplin-Kramer R, 2019, SCIENCE, V366, P255, DOI 10.1126/science.aaw3372
   Che W, 2014, J ENVIRON SCI-CHINA, V26, P1818, DOI 10.1016/j.jes.2014.06.028
   Chen WM, 2018, RESOUR CONSERV RECY, V132, P278, DOI 10.1016/j.resconrec.2017.02.017
   Chiamsathit C, 2014, P I CIVIL ENG-WAT M, V167, P551, DOI 10.1680/wama.13.00059
   Ching P.W., 2012, Institutional Aspects of Water Management: Evaluating the Experience, P193
   Chitsazan M, 2018, SUST WAT RESOUR MAN, V4, P79, DOI 10.1007/s40899-017-0126-3
   Chopra A, 2021, WATER POLICY, V23, P466, DOI 10.2166/wp.2021.207
   Claassen M., 2022, Water Security Under Climate Change, P331, DOI [10.1007/978-981-16-5493-0_16, DOI 10.1007/978-981-16-5493-0_16]
   Conicelli B, 2021, J S AM EARTH SCI, V106, DOI 10.1016/j.jsames.2020.103093
   Constantine K, 2017, J ENVIRON MANAGE, V188, P85, DOI [10.1016/j.jenvman.2016.11.065, 10.1016/j]
   Cooley H., 2020, Financing Water Supply and Sanitation in a Changing Climate-Pacific Institute
   Craddock HA, 2021, J ENVIRON MANAGE, V297, DOI 10.1016/j.jenvman.2021.113234
   Cronk R, 2017, ENVIRON SCI TECHNOL, V51, P11336, DOI 10.1021/acs.est.7b03287
   Daesslé LW, 2020, SCI TOTAL ENVIRON, V713, DOI 10.1016/j.scitotenv.2020.136715
   Darabi H, 2021, J CLEAN PROD, V311, DOI 10.1016/j.jclepro.2021.127706
   Das B, 2020, ENVIRON DEV SUSTAIN, V22, P5905, DOI 10.1007/s10668-019-00457-7
   Davidsen C, 2015, J WATER RES PLAN MAN, V141, DOI 10.1061/(ASCE)WR.1943-5452.0000482
   Dawood T, 2021, SUSTAIN CITIES SOC, V73, DOI 10.1016/j.scs.2021.103104
   de Macedo MB, 2019, SCI TOTAL ENVIRON, V647, P923, DOI 10.1016/j.scitotenv.2018.08.002
   Diop M., 2014, Mondes en developpement, V165, P79
   Dismas J, 2018, WATER SCI TECH-W SUP, V18, P745, DOI 10.2166/ws.2018.007
   Dorendahl E, 2021, Deutsche Gesellschaft fur Internationale Zusammenarbeit (GIZ)
   Drouiche N, 2011, WATER RESOUR MANAG, V25, P2743, DOI 10.1007/s11269-011-9836-8
   Dukhovny VA, 2013, QUATERN INT, V311, P181, DOI 10.1016/j.quaint.2013.07.003
   Echeverría JMA, 2020, J CLEAN PROD, V260, DOI 10.1016/j.jclepro.2020.120895
   Ehteram M, 2018, WATER-SUI, V10, DOI 10.3390/w10091267
   El-Ghzizel S, 2021, DESALIN WATER TREAT, V231, P1, DOI 10.5004/dwt.2021.27506
   Elewa HH, 2016, ENVIRON EARTH SCI, V75, DOI 10.1007/s12665-016-5692-4
   Elgert L, 2016, INT J WATER RESOUR D, V32, P765, DOI 10.1080/07900627.2015.1104499
   Elkamhawy E, 2021, WATER-SUI, V13, DOI 10.3390/w13213135
   Esmaeilion F, 2021, INT J SUSTAIN ENG, V14, P1916, DOI 10.1080/19397038.2021.1948143
   Esmail BA, 2020, SPRINGERBRIEF GEOGR, P7, DOI 10.1007/978-3-030-45666-5_2
   Falkland T, 2020, SPRINGER CLIMATE, P403, DOI 10.1007/978-3-030-32878-8_11
   Fang J, 2011, ECOHEALTH, V8, P444, DOI 10.1007/s10393-011-0730-x
   Farghally H.M., 2020, International Journal of Mechanics, V14, P215, DOI [10.46300/9104.2020.14.28, DOI 10.46300/9104.2020.14.28]
   Feld SI, 2016, J SUSTAIN WATER BUIL, V2, DOI 10.1061/JSWBAY.0000811
   Förster JJ, 2017, SOC NATUR RESOUR, V30, P521, DOI 10.1080/08941920.2016.1268658
   Gao SD, 2023, RISK ANAL, V43, P1222, DOI 10.1111/risa.13990
   García-López M, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17103534
   Garg MC, 2015, SEP SCI TECHNOL, V50, P1270, DOI 10.1080/01496395.2014.951725
   Garrick DE, 2021, REV ENV ECON POLICY, V15, P45, DOI 10.1086/713102
   Gcolotela Z, 2021, WATER SA, V47, P247, DOI 10.17159/wsa/2021.v47.i2.10920
   Ghosh S, 2017, WATER RESOUR ECON, V19, P1, DOI 10.1016/j.wre.2017.09.004
   Gohari A, 2013, J HYDROL, V491, P23, DOI 10.1016/j.jhydrol.2013.03.021
   Gopinath G, 2014, ENVIRON EARTH SCI, V72, P4441, DOI 10.1007/s12665-014-3344-0
   Gu SZ, 2017, ENVIRON SCI POLICY, V75, P65, DOI 10.1016/j.envsci.2017.05.008
   Gu WQ, 2017, WATER RESOUR MANAG, V31, P3401, DOI 10.1007/s11269-017-1675-9
   Habib H, 2013, J ENVIRON MANAGE, V129, P244, DOI 10.1016/j.jenvman.2013.07.019
   Habiyaremye A, 2020, ENVIRON SCI POLICY, V114, P217, DOI 10.1016/j.envsci.2020.08.011
   Haidera M, 2011, LOCAL ENVIRON, V16, P473, DOI 10.1080/13549839.2011.565465
   Hall J, 2013, PHILOS T R SOC A, V371, DOI 10.1098/rsta.2012.0407
   Han XXQ, 2021, SCI TOTAL ENVIRON, V765, DOI 10.1016/j.scitotenv.2020.144276
   Hao L, 2015, J AM WATER RESOUR AS, V51, P655, DOI 10.1111/1752-1688.12311
   Harmancioglu NB, 2020, WOR WATER RESOUR, V2, P517, DOI 10.1007/978-3-030-11729-0_16
   He CY, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-25026-3
   He YH, 2018, STOCH ENV RES RISK A, V32, P3083, DOI 10.1007/s00477-018-1526-0
   Herslund L, 2018, LANDSCAPE URBAN PLAN, V180, P319, DOI 10.1016/j.landurbplan.2016.10.008
   Hill D., 2017, Global Resource Scarcity
   Hornidge A.-K., 2016, Integrated Water Resources Management: Concept, Research and Implementation, P569, DOI [10.1007/978-3-319-25071, DOI 10.1007/978-3-319-25071]
   Hossain MI, 2020, GROUNDWATER SUST DEV, V10, DOI 10.1016/j.gsd.2019.100285
   Hou CX, 2021, J CLEAN PROD, V278, DOI 10.1016/j.jclepro.2020.123965
   Long HY, 2022, INT J LOGIST-RES APP, V25, P930, DOI 10.1080/13675567.2021.1958304
   Hu ZY, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11161908
   Hua E, 2020, J CLEAN PROD, V247, DOI 10.1016/j.jclepro.2019.119103
   Hughes W, 2022, NAT HAZARDS REV, V23, DOI 10.1061/(ASCE)NH.1527-6996.0000564
   Hund SV, 2018, J HYDROL, V563, P1119, DOI 10.1016/j.jhydrol.2018.05.069
   Jiang M, 2018, Global Issues in Water Policy, V18, P13, DOI [10.1007/978-3-319-67087-4_2, DOI 10.1007/978-3-319-67087-4_2]
   Jiang Y, 2016, AGR WATER MANAGE, V178, P76, DOI 10.1016/j.agwat.2016.08.035
   Jones E, 2019, SCI TOTAL ENVIRON, V657, P1343, DOI 10.1016/j.scitotenv.2018.12.076
   Ernesto ATJ, 2016, ATMOSPHERE-BASEL, V7, DOI 10.3390/atmos7010002
   Kanakoudis V, 2014, CLEAN-SOIL AIR WATER, V42, P880, DOI 10.1002/clen.201300138
   Kang P, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-52719-z
   Karakaya N., 2014, J. Ecosyst. Ecography, V4, P1, DOI DOI 10.4172/2157-7625.1000149
   Kumar MSM, 2013, J INDIAN I SCI, V93, P295
   Lahiri S.N., 2019, Ground Water Development-Issues and Sustainable Solutions, P183, DOI [10.1007/978-981-13-1771-2_11, DOI 10.1007/978-981-13-1771-2_11]
   Lai CH, 2020, WATER POLICY, V22, P237, DOI 10.2166/wp.2020.165
   Lange J., 2016, Drinking Water Engineering and Science, V9, P47, DOI 10.5194/dwes-9-47-2016
   Lanzanova D, 2019, ENVIRON MODELL SOFTW, V115, P164, DOI 10.1016/j.envsoft.2019.01.016
   Leong JYC, 2018, J CLEAN PROD, V176, P946, DOI 10.1016/j.jclepro.2017.12.020
   Li F, 2017, INT J WATER RESOUR D, V33, P93, DOI 10.1080/07900627.2016.1143349
   Lin SS, 2021, DESALINATION, V498, DOI 10.1016/j.desal.2020.114728
   Linh VT, 2021, MOBILE NETW APPL, V26, P1788, DOI 10.1007/s11036-021-01757-x
   Liu B, 2020, ENVIRON MANAGE, V66, P709, DOI 10.1007/s00267-020-01338-w
   Liu DD, 2014, STOCH ENV RES RISK A, V28, P1525, DOI 10.1007/s00477-013-0829-4
   Liu J, 2017, ECOL INDIC, V72, P870, DOI 10.1016/j.ecolind.2016.09.021
   Liu LS, 2016, MATEC WEB CONF, V68, DOI 10.1051/matecconf/20166814006
   Liu S, 2013, WATER POLICY, V15, P705, DOI 10.2166/wp.2013.275
   Lokham C., 2012, Australian Journal of Basic and Applied Sciences, V6, P43
   Zavala MAL, 2016, WATER-SUI, V8, DOI 10.3390/w8060264
   Lukasiewicz A, 2016, REG ENVIRON CHANGE, V16, P487, DOI 10.1007/s10113-015-0765-6
   Lyu SD, 2016, J ENVIRON SCI, V39, P86, DOI 10.1016/j.jes.2015.11.012
   Ma XX, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0119720
   Makarigakis AK, 2019, WATER-SUI, V11, DOI 10.3390/w11020388
   Maqbool A, 2021, STOCH ENV RES RISK A, V35, P245, DOI 10.1007/s00477-020-01903-z
   Marks SJ, 2018, J CLEAN PROD, V205, P789, DOI 10.1016/j.jclepro.2018.09.029
   Maskooni EK, 2021, ENVIRON SCI POLLUT R, V28, P6176, DOI 10.1007/s11356-020-10787-z
   Mirsafa M., 2017, P 33 PLEA INT C DES, P2888
   Mizyed NR, 2013, ENVIRON SCI POLICY, V25, P186, DOI 10.1016/j.envsci.2012.10.016
   Monsef H, 2018, J WATER SUPPLY RES T, V67, P397, DOI 10.2166/aqua.2018.002
   Montilla-López NM, 2016, WATER-SUI, V8, DOI 10.3390/w8100466
   Moumen Z, 2021, OPEN AGRIC, V6, P102, DOI 10.1515/opag-2021-0223
   Mourad KA, 2011, J ENVIRON MANAGE, V92, P2447, DOI 10.1016/j.jenvman.2011.05.004
   Murtinho F, 2013, ENVIRON MANAGE, V52, P1103, DOI 10.1007/s00267-013-0156-z
   Hong NB, 2017, ENVIRON DEV SUSTAIN, V19, P1247, DOI 10.1007/s10668-016-9793-8
   Nong XZ, 2020, WATER RES, V178, DOI 10.1016/j.watres.2020.115781
   Noori R, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2024221118
   Nzimakwe T.I., 2020, Advances in African Economic. Social and Political Development, P231, DOI [10.1007/978-3-030-46115-7_11, DOI 10.1007/978-3-030-46115-7_11]
   Oh KS, 2018, J CLEAN PROD, V171, P17, DOI 10.1016/j.jclepro.2017.09.267
   Ostrom E., 1990, GOVERNING COMMONS EV
   Pablo J, 2020, 2020 IEEE 7TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND APPLICATIONS (ICIEA 2020), P519, DOI [10.1109/ICIEA49774.2020.9101965, 10.1109/iciea49774.2020.9101965]
   Pandey C.L., 2019, Sustainability, V12, P173, DOI DOI 10.1089/SUS.2019.0007
   Pinto GO, 2021, WATER SCI TECHNOL, V84, P3257, DOI 10.2166/wst.2021.429
   Plain Zhou C.Y., 2011, Climate Change Effects on Groundwater Resources
   Qtaishat T, 2020, GLOB ISS WATER POL, V23, P85, DOI 10.1007/978-3-030-29274-4_5
   Radingoana MP, 2019, PHYS CHEM EARTH, V112, P21, DOI 10.1016/j.pce.2019.02.009
   Razzaque J, 2014, AFR J LEG STUD, V6, P213, DOI 10.1163/17087384-12342026
   Reymond P, 2020, FRONT ENV SCI-SWITZ, V8, DOI 10.3389/fenvs.2020.00072
   Rödiger T, 2020, SCI TOTAL ENVIRON, V725, DOI 10.1016/j.scitotenv.2020.138478
   Rollason E, 2022, PROG PHYS GEOG, V46, P371, DOI 10.1177/03091333211065004
   Rosinger AY, 2020, GLOBAL ENVIRON CHANG, V64, DOI 10.1016/j.gloenvcha.2020.102148
   Sabzevar MS, 2021, REG SUSTAIN, V2, P224, DOI 10.1016/j.regsus.2021.11.003
   Sadati SK, 2014, WATER-SUI, V6, P3068, DOI 10.3390/w6103068
   Sato T, 2013, AGR WATER MANAGE, V130, P1, DOI 10.1016/j.agwat.2013.08.007
   Seddon N, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0120
   Selvabalan M, 2020, INT J ENVIRON SCI TE, V17, P933, DOI 10.1007/s13762-019-02346-y
   Serageldin I, 2001, INT J WATER RESOUR D, V17, P521, DOI 10.1080/07900620120094154
   Shah T., 2016, The Precept and Practice of Integrated Water Resources Management (IWRM)
   Shameem MIM, 2014, OCEAN COAST MANAGE, V102, P79, DOI 10.1016/j.ocecoaman.2014.09.002
   Shao Q., 2011, Water Shortages: Environmental, Economic and Social Impacts, P195
   Sheikh V, 2020, SUSTAIN CITIES SOC, V60, DOI 10.1016/j.scs.2020.102278
   Sheth D, 2021, WATER PRACT TECHNOL, V16, P333, DOI 10.2166/wpt.2021.025
   Shi J, 2014, HYDROL EARTH SYST SC, V18, P1349, DOI 10.5194/hess-18-1349-2014
   Shokri A, 2013, J WATER RES PLAN MAN, V139, P277, DOI 10.1061/(ASCE)WR.1943-5452.0000244
   Singh C, 2018, ENVIRON DEV, V25, P43, DOI 10.1016/j.envdev.2017.11.004
   Singh S, 2020, WATER POLICY, V22, P9, DOI 10.2166/wp.2019.215
   Singwane S. S., 2013, International Journal of Hydrology Science and Technology, V3, P308, DOI 10.1504/IJHST.2013.060334
   Sinha P, 2020, SCI TOTAL ENVIRON, V721, DOI 10.1016/j.scitotenv.2020.137646
   Siyaya S.G., 2021, P INT C IND ENG OP M, P2474
   Sorensen IM, 2015, TECHNOL SOC, V41, P1, DOI 10.1016/j.techsoc.2014.10.003
   Soula R, 2021, GROUNDWATER SUST DEV, V12, DOI 10.1016/j.gsd.2020.100510
   Estácio ABS, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14116876
   Stoler J, 2015, HABITAT INT, V47, P52, DOI 10.1016/j.habitatint.2015.01.009
   Stoler J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0067257
   Stoler J, 2012, HEALTH PLACE, V18, P250, DOI 10.1016/j.healthplace.2011.09.020
   Sun S, 2017, J HYDROL, V553, P398, DOI 10.1016/j.jhydrol.2017.08.020
   Sun XM, 2018, WATER-SUI, V10, DOI 10.3390/w10111540
   Tang JJ, 2016, J AGR ECON, V67, P173, DOI 10.1111/1477-9552.12137
   Tang JJ, 2015, FOOD POLICY, V50, P43, DOI 10.1016/j.foodpol.2014.10.008
   Tolossa TT, 2020, COGENT FOOD AGR, V6, DOI 10.1080/23311932.2020.1724354
   Tortajada C., 2018, Global Water Security: Lessons Learnt and Long-Term Implications, Water Resources Development and Management, P1, DOI [DOI 10.1007/978-981-10-7913-9_1, DOI 10.1007/978-981-10-7913-91]
   Uddin SMN, 2014, J WATER REUSE DESAL, V4, P182, DOI 10.2166/wrd.2014.008
   USAID, 2017, Ecosystem-Based Adaptation and Water Security
   USAID SWP, 2021, Sustainable Water Partnership (SWP)
   Uzel G, 2016, J ENVIRON PROT ECOL, V17, P64
   van Ginkel KCH, 2018, J WATER RES PLAN MAN, V144, DOI [10.1061/(ASCE)WR.1943-5452.0000997, 10.1061/(asce)wr.1943-5452.0000997]
   Vandewalle E, 2015, GEO-GEOGR ENVIRON, V2, P107, DOI 10.1002/geo2.9
   Vawda M, 2011, GLOB ISS WATER POL, V2, P181, DOI 10.1007/978-90-481-9367-7_9
   Vega Cervera V. A., 2018, WIT Transactions on the Built Environment, V179, P333
   Vojinovic Z, 2021, SCI TOTAL ENVIRON, V789, DOI 10.1016/j.scitotenv.2021.147725
   Vörösmarty CJ, 2018, ECOHYDROL HYDROBIOL, V18, P317, DOI 10.1016/j.ecohyd.2018.07.004
   Wale A, 2022, J APPL WATER ENG RES, V10, P39, DOI 10.1080/23249676.2021.1919572
   Wang LZ, 2019, WATER-SUI, V11, DOI 10.3390/w11030577
   Wang LZ, 2018, WATER-SUI, V10, DOI 10.3390/w10070863
   Weaver MJT, 2019, GEOFORUM, V107, P14, DOI 10.1016/j.geoforum.2019.08.021
   Wu G, 2021, SCI TOTAL ENVIRON, V758, DOI 10.1016/j.scitotenv.2020.143324
   Xu Q, 2014, WATER RESOUR MANAG, V28, P3715, DOI 10.1007/s11269-014-0704-1
   Young SL, 2019, BMJ GLOB HEALTH, V4, DOI 10.1136/bmjgh-2019-001750
   Zanje S, 2019, 38 IAHR WORLD C QUOT
   Zanje S.R., WORLD ENV WATER RESO, P1187, DOI [10.1061/9780784484258.110, DOI 10.1061/9780784484258.110]
   Zanje SR, 2022, J FLUID ENG-T ASME, V144, DOI 10.1115/1.4054654
   Zetland D, 2013, INT J WATER RESOUR D, V29, P327, DOI 10.1080/07900627.2012.721672
   Zhang D, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0189989
   Zhang H, 2019, PHYS CHEM EARTH, V114, DOI 10.1016/j.pce.2019.08.005
   Zhang L, 2015, SCIENTOMETRICS, V105, P279, DOI 10.1007/s11192-015-1656-9
   Zhou YL, 2017, J HYDROL, V553, P584, DOI 10.1016/j.jhydrol.2017.08.039
   Zobeidi T, 2022, ENVIRON DEV SUSTAIN, V24, P5400, DOI 10.1007/s10668-021-01663-y
NR 229
TC 4
Z9 4
U1 16
U2 26
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD MAY 15
PY 2024
VL 925
AR 171520
DI 10.1016/j.scitotenv.2024.171520
EA MAR 2024
PG 21
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA PT7N9
UT WOS:001216402900001
PM 38460697
DA 2025-01-10
ER

PT J
AU Di, SC
   Li, ZL
   Ren, YM
   Liu, M
   Jiang, YZ
   Zheng, FD
   Li, XM
   Qi, YB
   Liu, HL
   Tang, RL
AF Di, Su-Chuang
   Li, Zhao-Liang
   Ren, Yanmin
   Liu, Meng
   Jiang, Ya-Zhen
   Zheng, Fan-Dong
   Li, Xue-Min
   Qi, Yan-Bing
   Liu, Hong-Lu
   Tang, Ronglin
TI Estimation of Regional Evapotranspiration Based on the Decouple Model
   and Remote Sensing Information --a Case Study in Beijing City and Nearby
   Region
SO INTERNATIONAL JOURNAL OF REMOTE SENSING
LA English
DT Article
DE Evapotranspiration (ET); decouple model; surface resistance; water
   consumption
ID AERODYNAMIC ROUGHNESS LENGTH; ENERGY FLUXES; LAND-SURFACE; WATER-STRESS;
   SOIL; TEMPERATURE
AB Evapotranspiration (ET) is an important component of surface energy balance and a key process of hydrological cycle. Continuous and accurate estimation of regional ET is meaningful for water management, agricultural production, and climate change adaptation. Remote sensing (RS) technique is of important meaning for estimating ET on regional scale. In this study, a new method is developed to integrate the RS information and meteorological data based on the decouple model which is deduced from Penman-Monteith (PM) model. Firstly, a parameterization method for decoupling factor (omega) which is key parameter in the decouple model and could reflect the coupling relationship between the land surface and atmosphere systems is introduced. Subsequently, the decouple model is applied to inverse regional ET in Beijing City and nearby region, from 1st, May, 2013 to 31th, October, 2020. Thirdly, the inversed daily ET values are evaluated based on the measured data at Huailai station and in Badaling Forest Farm. The results show that the changing trend of estimated ET and measured ET are basically the similar. The bias value is -0.12 mm d-1, the RSME value is 0.66 mm d-1, and the correlation coefficient is 0.52. Finally, the spatiotemporal trend of water consumption in study area is analysed based on the ET estimation results. The month with the largest water consumption in 2013 is July with the quantity of 0.92 billion m3, accounting for about 22% of the regional total water consumption in growing season. The regions with high ET values agree well with the regions of high soil moisture and high air humidity as well as high biomass. These results suggest that the decouple model is with great potential to generate regional daily ET products and to support irrigation management.
C1 [Di, Su-Chuang; Zheng, Fan-Dong; Li, Xue-Min; Qi, Yan-Bing; Liu, Hong-Lu] Beijing Water Sci & Technol Inst, Big Data Anal & Applicat Res Dept, Beijing, Peoples R China.
   [Di, Su-Chuang; Zheng, Fan-Dong; Li, Xue-Min; Qi, Yan-Bing; Liu, Hong-Lu] Bejing Engn Res Ctr Nonconvent Water Resources Uti, Urban Rainwater & Flood Utilizat Res Dept, Beijing, Peoples R China.
   [Li, Zhao-Liang; Jiang, Ya-Zhen; Tang, Ronglin] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China.
   [Li, Zhao-Liang; Liu, Meng] Chinese Acad Agr Sci, Minist Agr, Key Lab Agriinformat, Inst Agr Resources & Reg Planning, Beijing, Peoples R China.
   [Li, Zhao-Liang] CNRS, ICube, UdS, Illkirch Graffenstaden, France.
   [Ren, Yanmin] Beijing Acad Agr & Forestry Sci, Res Ctr Informat Technol, Beijing, Peoples R China.
   [Li, Zhao-Liang] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS; Chinese Academy of Agricultural Sciences;
   Institute of Agricultural Resources & Regional Planning, CAAS; Ministry
   of Agriculture & Rural Affairs; Universites de Strasbourg Etablissements
   Associes; Universite de Strasbourg; Centre National de la Recherche
   Scientifique (CNRS); Beijing Academy of Agriculture & Forestry Sciences
   (BAAFS); Chinese Academy of Sciences; Institute of Geographic Sciences &
   Natural Resources Research, CAS
RP Li, ZL (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China.
EM lizhaoliang@caas.cn
RI Li, Xuemin/N-4509-2017; Li, Zhaoliang/AFV-2619-2022
FU Natural Science Foundation of Beijing Municipality [8184075]; Beijing
   Natural Science Foundation [Z181100005318003]; Beijing Municipal Science
   and Technology Project [2022]; Ministry of Water Resources Young Top
   Talents Program
FX This work was supported in part by the Beijing Natural Science
   Foundation under Grant 8184075, and in part by the Beijing Municipal
   Science and Technology Project (NO. Z181100005318003) and Ministry of
   Water Resources Young Top Talents Program (2022).
CR Allen R. G., 1998, FAO Irrigation and Drainage Paper
   Bastiaanssen WGM, 2000, J HYDROL, V229, P87, DOI 10.1016/S0022-1694(99)00202-4
   Boegh E, 2002, REMOTE SENS ENVIRON, V79, P329, DOI 10.1016/S0034-4257(01)00283-8
   Caparrini F, 2004, WATER RESOUR RES, V40, DOI 10.1029/2004WR003358
   Cleugh HA, 2007, REMOTE SENS ENVIRON, V106, P285, DOI [10.1016/j.rse.2006.07.007, 10.1016/j.rse.2007.04.015]
   Crosson WL, 2012, REMOTE SENS ENVIRON, V119, P315, DOI 10.1016/j.rse.2011.12.019
   Di SC, 2015, INT J REMOTE SENS, V36, P4953, DOI 10.1080/01431161.2015.1040136
   Duan SB, 2017, REMOTE SENS ENVIRON, V195, P107, DOI 10.1016/j.rse.2017.04.008
   Fisher JB, 2008, REMOTE SENS ENVIRON, V112, P901, DOI 10.1016/j.rse.2007.06.025
   Goldberg V, 2001, ANN GEOPHYS, V19, P581, DOI 10.5194/angeo-19-581-2001
   Granata F, 2019, AGR WATER MANAGE, V217, P303, DOI 10.1016/j.agwat.2019.03.015
   JACKSON RD, 1988, IRRIGATION SCI, V9, P309, DOI 10.1007/BF00296705
   JACKSON RD, 1977, WATER RESOUR RES, V13, P651, DOI 10.1029/WR013i003p00651
   Jung M, 2010, NATURE, V467, P951, DOI 10.1038/nature09396
   Kang LQ, 2019, BOUND-LAY METEOROL, V172, P397, DOI 10.1007/s10546-019-00449-0
   Kool D, 2014, AGR FOREST METEOROL, V184, P56, DOI 10.1016/j.agrformet.2013.09.003
   Kustas WP, 1998, REMOTE SENS ENVIRON, V64, P116, DOI 10.1016/S0034-4257(97)00176-4
   Li ZL, 2009, SENSORS-BASEL, V9, P3801, DOI 10.3390/s90503801
   Long D, 2013, GEOPHYS RES LETT, V40, P3395, DOI 10.1002/grl.50655
   Ma J, 2022, REMOTE SENS ENVIRON, V278, DOI 10.1016/j.rse.2022.113083
   McNaughton K. G., 1983, Water deficits and plant growth. Volume VII. Additional woody crop plants., P1
   MENENTI M, 1993, IAHS-AISH P, P561
   Monteith J L, 1965, Symp Soc Exp Biol, V19, P205
   Mu QZ, 2011, REMOTE SENS ENVIRON, V115, P1781, DOI 10.1016/j.rse.2011.02.019
   NORMAN JM, 1995, AGR FOREST METEOROL, V77, P263, DOI 10.1016/0168-1923(95)02265-Y
   PENMAN HL, 1948, PROC R SOC LON SER-A, V193, P120, DOI 10.1098/rspa.1948.0037
   Ramoelo A, 2014, REMOTE SENS-BASEL, V6, P7406, DOI 10.3390/rs6087406
   Rana G, 1997, THEOR APPL CLIMATOL, V56, P45, DOI 10.1007/BF00863782
   Reichle RH, 2002, MON WEATHER REV, V130, P103, DOI 10.1175/1520-0493(2002)130<0103:HDAWTE>2.0.CO;2
   Su Z, 2002, HYDROL EARTH SYST SC, V6, P85, DOI 10.5194/hess-6-85-2002
   Tang RL, 2017, J GEOPHYS RES-ATMOS, V122, P10254, DOI 10.1002/2017JD027094
   Tang RL, 2017, IEEE T GEOSCI REMOTE, V55, P5818, DOI 10.1109/TGRS.2017.2715361
   Tang RL, 2013, AGR FOREST METEOROL, V174, P28, DOI 10.1016/j.agrformet.2013.01.008
   Tang RL, 2010, REMOTE SENS ENVIRON, V114, P540, DOI 10.1016/j.rse.2009.10.012
   Tian X, 2011, REMOTE SENS ENVIRON, V115, P2330, DOI 10.1016/j.rse.2011.04.033
   Wang KC, 2007, J GEOPHYS RES-ATMOS, V112, DOI 10.1029/2006JD008351
   Wang KC, 2012, REV GEOPHYS, V50, DOI 10.1029/2011RG000373
   Wu PH, 2022, REMOTE SENS ENVIRON, V277, DOI 10.1016/j.rse.2022.113070
   Yang Y, 2013, ADV MATER SCI ENG, V2013, DOI 10.1155/2013/306728
   Yuan XL, 2021, AGR FOREST METEOROL, V303, DOI 10.1016/j.agrformet.2021.108390
   Zhang K, 2016, WIRES WATER, V3, P834, DOI 10.1002/wat2.1168
   Zhao LL, 2013, J GEOGR SCI, V23, P359, DOI 10.1007/s11442-013-1015-9
   Zheng R., 2020, WATER RESOURCES POWE, V38, P22
NR 43
TC 0
Z9 0
U1 3
U2 11
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 0143-1161
EI 1366-5901
J9 INT J REMOTE SENS
JI Int. J. Remote Sens.
PD OCT 17
PY 2024
VL 45
IS 19-20
SI SI
BP 7753
EP 7774
DI 10.1080/01431161.2024.2316674
EA FEB 2024
PG 22
WC Remote Sensing; Imaging Science & Photographic Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Remote Sensing; Imaging Science & Photographic Technology
GA I7U6C
UT WOS:001168395000001
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Liu, HY
   Ebrahimi, B
AF Liu, Hai-Ying
   Ebrahimi, Babak
TI A scalable method for identifying key indicators to assess urban
   environmental sustainability: A case study in Norway
SO CITY AND ENVIRONMENT INTERACTIONS
LA English
DT Article
DE Built environment; Climate change adaptation and mitigation;
   Environmental sustainability; Environmental governance; Key performance
   indicator; Responsible research and innovation; SDGs; Sustainable cities
   indicators; Urban environmental challenges; Urban planning; Urban
   sustainability
ID CITIES
AB Urbanization presents numerous societal challenges and exacerbates environmental issues. It is crucial to comprehend the current state and future direction of cities to formulate strategies and actions that mitigate negative consequences while ensuring a prosperous future for citizens. This study presents a universally applicable method for selecting indicators to gauge urban environmental sustainability. It aims to aid in structuring thinking for understanding and implementing Sustainable Development Goals (SDGs) within urban settings, using Norway as a case study but with a clear potential for broader applications. To achieve this, a comprehensive literature survey was conducted to gain insight into how urban environmental sustainability is conceptualized and operationalized in Norway. This involved assessing the key environmental challenges, as well as the strategies and action plans associated with them. Standardized sustainable cities' indicators served as references, which were then tailored to the municipal level to address the identified environmental challenges specific to Norwegian cities. Furthermore, the study discussed the proposed indicators for tracking the progress and state of these specific environmental challenges. In doing so, it establishes a foundation for comprehending environmental issues and establishing connections between indicators and environmental strategies and action plans in the urban sustainability context. Importantly, the methodologies and indicators we have unveiled in this study are designed to be applicable to cities beyond Norway, offering a scalable and adaptable approach for evaluating environmental challenges internationally. This work proposes a novel approach for evaluating the status and trends of environmental challenges by employing targeted indicators. These indicators can be expanded to include social and economic dimensions, enabling decision-makers and stakeholders to prioritize actions towards urban sustainability.
C1 [Liu, Hai-Ying; Ebrahimi, Babak] Climate & Environm Res Inst NILU, Dept Environm Impacts & Sustainabil, IMPACT, Postboks 100, Kjeller 2027, Norway.
C3 NILU
RP Liu, HY (corresponding author), Climate & Environm Res Inst NILU, Dept Environm Impacts & Sustainabil, IMPACT, Postboks 100, Kjeller 2027, Norway.
EM hyl@nilu.no
FU NILU - The Climate and Environmental Research Institute NILU SIS project
   on Urban SDGs; Isabel Seifert-Dahnnb (NIVA - Norwegian Institute for
   Water Research)
FX This research was funded by NILU - The Climate and Environmental
   Research Institute NILU SIS project on Urban SDGs. The authors express
   gratitude for the support and valuable suggestions received from Isabel
   Seifert-Dahnnb (NIVA - Norwegian Institute for Water Research) regarding
   indicators for assessing freshwater pollution and marine areas
   degradation. Additionally, the authors appreciate the input from Line
   Johanne Barkved (NIVA) and Sonja Graff (BLB-A research and consulting
   company in Oslo) on the key environmental strategies and action plans
   developed in selected Norwegian cities.
CR Agency, 2021, World Factbook Urbanization
   Agency N. E., 2021, About State of the Environment Norway
   Agency NE, 2021, Report
   [Anonymous], 2021, EEA Urban Sustainability in Europe-What is driving cities' environmental change?, P84
   [Anonymous], 2016, Green strategy-climate and energy action plan for Bergen, P86
   [Anonymous], 2019, Klimaog energiplan 2019-2031, P21
   [Anonymous], 2015, The Millennium Development Goals Report 2015, DOI DOI 10.18356/6CD11401-EN
   [Anonymous], 2021, Statista Degree of urbanization (percentage of urban population in total population) by continent in 2020
   [Anonymous], 2022, SSB Waste accounts
   [Anonymous], 2018, ISO 37120:2018 Sustainable cities and communities - Indicators for city services and quality of life
   [Anonymous], 2016, Climate and Energy Strategy for Oslo, P15
   [Anonymous], 2010, Alesund kommune.
   [Anonymous], 2021, SSB A taxonomy for indicators related to the Sustainable Development Goals, P39
   [Anonymous], 2022, FHI Wood-burning stoves
   [Anonymous], 2022, EEA Road cleaning and dust-binding measures in Trondheim, Norway
   [Anonymous], 2021, Main environmental challenges faced by the city of Oslo
   [Anonymous], 2020, Norway's Climate Action Plan, P7
   [Anonymous], 2014, EC General Union Environment Action Programme to. Living well, within the limits of our planet, P92
   [Anonymous], 2018, Tromso kummune
   [Anonymous], 2017, Kommunedelplan: energi og klima 2017-2030, P48
   [Anonymous], 2021, Norway's strategy for developing a green, circular economy, P164
   [Anonymous], 2019, The European environment - state and outlook 2020 - Knowledge for transition to a sustainable Europe
   [Anonymous], 2021, ITU U4SSC-United 4 Smart Sustainable cities
   [Anonymous], 2021, IEA Energy balances-key world energy statistics
   [Anonymous], 2015, Maskinentreprenorenes Forbund, Norsk Forening for Farlig Avfall Veileder til karakterisering og mottakskontroll av avfall til deponi, P23
   Authority N.-T. N. E. R, 2022, National Report 2021
   Change, 2021, Working Group I contribution to the IPCC Sixth Assessment Report, P2021
   Conditions E. F. f. t. I. o. L. a. W, 1998, Urban Sustainability Indicators, P49
   EC, 2021, Pathway to a Healthy Planet for All EU Action Plan: 'Towards Zero Pollution for Air, Water and Soil', P22
   EC, 2018, Science for Environment Policy-In-depth Report 12
   EC Eu, 2021, Biodiversity Strategy for 2030-bringing nature back into our lives, P36
   EEA, 2015, Norway country briefing-The European environment-state and outlook 2015
   EEA (European Environment Agency),, 2020, World Air Quality Report, DOI [10.2800/786656, DOI 10.2800/786656]
   ETSI, 2017, Access, Terminals. Transmission and Multiplexing (ATTM)-Key Performance Indicators for Sustainable Digital Multiservice
   Green N. W., 2011, O-11106
   Green S. o., Waste-to-energy CHP in Kristiansand
   Halleraker JH, 2022, SCI TOTAL ENVIRON, V832, DOI 10.1016/j.scitotenv.2022.154776
   Haug R., 2018, Food security indicators: how to measure and communicate results
   Hendrickson C, 1998, ENVIRON SCI TECHNOL, V32, p184A, DOI 10.1021/es983471i
   Huovila A, 2019, CITIES, V89, P141, DOI 10.1016/j.cities.2019.01.029
   International Organization for Standardization, 2019, ISO 37122 2019-Sustainable development in communities-Indicators for Smart Cities
   International Telecommunication Union (ITU), 2020, U4SSC-United 4 Smart Sustainable cities-verification reports
   ITU, 2016, Y.4903: Key performance indicators for smart sustainable cities to assess the achievement of sustainable development goals
   Jaeger A., 2019, Filling Environmental Data Gaps for SDG 11: A survey of Japanese and Philippines cities with recommendations, P129
   kommune, 2022, Drammen 2040-Forslag til kommuneplanens samfunnsdel 2021-2040.
   kommune, Sterkere sammen-Kristiansand mot 2030, Kommuneplanens samfunnsdel 2020-2030
   kommune, 2022, Temaplan-Klimaog miljostrategi Bygg og anlegg
   kommune, 2022, Klimaog miljoplan 2018-2030
   kommune, 2022, Klimastrategi 1.0-strategi for utslippsreduksjon og sirkulaer okonomi i Drammen kommunes virksomeht
   kommune A., 2022, Kommuneplan for Asker 2020-2032 Samfunnsdelen
   kommune A., 2022, Handling mot klimaendringene 2021-2033
   kommune K., 2022, Omstilling til et baerekraftig lavutslippssamfunn
   Kommune O., 2022, Strategi for overvannshandtering i Oslo
   Kommune O, 2020, Klimastrategi for Oslo mot 2030
   kommune O., 2022, Handlingsplan for overvannshandtering i Oslo kommune-kortversjon
   kommune S., 2022, Handlingsplan for biologisk mangfold-Stavanger 2010-2014
   Leontief W, 1986, INPUT OUTPUT EC
   Li X., 2014, Urban Sustainability Index 2013
   López-Aparicio S, 2017, J ENVIRON MANAGE, V191, P179, DOI 10.1016/j.jenvman.2017.01.018
   Michalina D, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13169348
   Miljodirektoratet, 2021, National Inventory Report
   Ministry of Climate and Environment, 2021, Biodiversity
   Modernisation NM, 2021, Voluntary National Review 2021 Norway-Report on the Implementation of the 2030 Agenda for Sustainable Development, P203
   municipality, 2016, Green strategy-climate and energy action plan for Bergen
   municipality, 2019, Oslo European Green Capitial 2019-final report
   municipality O., 2022, Waste and recycling statistics
   municipality O., 2021, Nature and biodiversity
   municipality O., 2022, Traffic noise and quiet areas
   Municipality T., 2017, Municipality plan-energy and climate 2017-2030
   Norge A., Norge ma kildesortere matavfallet
   NORWAY, Major Municipalities
   Norway E., 2022, Waste
   Norway E., 2022, Freshwater
   Norway E., 2022, Pollution and noise
   Norway E., 2021, Pollution and noise
   Norway E., 2022, Marine and coastal waters
   Norway S., 2021, Growing number of Norwegian are exposed to noise
   Norway's Governments, 2021, Climate and environment
   Norwegian Ministry of Climate and Environment: 2015-2016, 2015, Nature for life-Norway's national biodiversity action plan, P82
   Norwegian Ministry of Finance & Norwegian Ministry of Foreign Affairs, 2019, One year closer 2019-Norway's progress towards the implementation of the 2030 Agenda for Sustainable Development
   Oslo municipality, 2021, Environmental and climate policy
   Reitan K. M., 2018, Road dust and air quality in Trondheim-Maintenance measures against road dust, P53
   RFSC, 2016, The Reference Framework for Sustainable
   Rodriguez RS, 2018, NAT CLIM CHANGE, V8, P181, DOI 10.1038/s41558-018-0098-9
   Roussel S., 2022, Sustainability indicators
   Stavanger City Council, 2018, Climate and Environmental Plan 2018-2030
   Tarrason LSS G., 2017, Air quality in Norwegian cities in 2015-evaluation report for NBV main results, P122
   Tromso Kommune, 2024, Kommuneplanens samfunnsdel med arealstrategi 2020-2032
   UN-Habitat U., 2022, SDG goal 11 monitoring framework
   United 4 Smart Sustainable Cities, 2017, Collection methodology for key performance indicators for smart sustainable cities
   United Nations, 2017, Techinical Report
   United Nations, 2015, No.A/RES/70/1.
   Usgbc, 2021, leed. for Cities and Communities
   Viken, 2021, County Municipality
   Whan K, 2020, CLIM DYNAM, V54, P2071, DOI 10.1007/s00382-019-05099-z
   Yigitcanlar T, 2018, CITIES, V81, P145, DOI 10.1016/j.cities.2018.04.003
   Zinkernagel R, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10093201
NR 97
TC 0
Z9 0
U1 2
U2 5
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2590-2520
J9 CITY ENVIRON INTERAC
JI City Environ. Interact.
PD APR
PY 2024
VL 22
AR 100144
DI 10.1016/j.cacint.2024.100144
EA FEB 2024
PG 17
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA KR3J0
UT WOS:001181651100001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Wang, N
   Chen, Q
   Wang, HQ
   Capurso, WD
   Niemoczynski, LM
   Zhu, L
   Snedden, GA
AF Wang, Nan
   Chen, Qin
   Wang, Hongqing
   Capurso, William D.
   Niemoczynski, Lukasz M.
   Zhu, Ling
   Snedden, Gregg A.
TI Field observations and long short-term memory modeling of spectral wave
   evolution at living shorelines in Chesapeake Bay, USA
SO APPLIED OCEAN RESEARCH
LA English
DT Article
DE Living shoreline; Long short-term memory method; Spectral wave modeling;
   Wave forecast; Marsh edge erosion
ID EROSION
AB Living shorelines as a nature-based solution for climate change adaptation were constructed in many places around the world. The success of this type of projects requires long-term monitoring for adaptive management. The paper presents a novel framework leveraging scientific machine learning methods for accurate and rapid prediction of long-term hydrodynamic forcing impacting living shorelines using short-term measurements of water levels and wind waves in the largest estuary in the U.S. Different from existing data-driven wave prediction models focusing on significant wave heights, this study is focused on the prediction of wave energy spectra in shallow water using winds and tides as the input feature and short-term measurements of wave spectra and water depths as the label. Long Short-Term Memory (LSTM) models were developed using four-month wave measurements in the stormy seasons to predict integral wave parameters and energy spectra for multiple years. The developed models accurately predicted wave heights, peak periods, and energy spectra around the living shorelines, capturing complex wave dynamics, such as wave generation by wind, nonlinear wave-wave interactions, and depth-limited wave breaking in the shallow water of a large estuary. The validated models were then used to determine the long-term wave forcing impacting the living shorelines based on the modeled wave characteristics and spectra. Model results show that the surrogate models utilizing LSTM to predict wave spectra in the frequency domain enable long-term predictions of spectral wave evolution with a minimal computational cost. Our findings provide valuable insights into the efficacy of living shorelines in attenuating wave energy and demonstrate the utility of this approach in assessing the effectiveness of such living shoreline structures.
C1 [Wang, Nan; Zhu, Ling] Northeastern Univ, Dept Civil & Environm Engn, 400 SN,360 Huntington Ave, Boston, MA 02115 USA.
   [Chen, Qin] Northeastern Univ, Dept Civil & Environm Engn, 471 SN, Boston, MA 02115 USA.
   [Chen, Qin] Northeastern Univ, Dept Marine & Environm Sci, 471 SN, Boston, MA 02115 USA.
   [Wang, Hongqing; Snedden, Gregg A.] US Geol Survey, Wetland & Aquat Res Ctr, Baton Rouge, LA 70808 USA.
   [Capurso, William D.] US Geol Survey, New York Water Sci Ctr, Coram, NY 11727 USA.
   [Niemoczynski, Lukasz M.] US Geol Survey, New Jersey Water Sci Ctr, Lawrenceville, NJ 08648 USA.
C3 Northeastern University; Northeastern University; Northeastern
   University; United States Department of the Interior; United States
   Geological Survey; United States Department of the Interior; United
   States Geological Survey; United States Department of the Interior;
   United States Geological Survey
RP Chen, Q (corresponding author), Northeastern Univ, Dept Civil & Environm Engn, 471 SN, Boston, MA 02115 USA.; Chen, Q (corresponding author), Northeastern Univ, Dept Marine & Environm Sci, 471 SN, Boston, MA 02115 USA.
EM q.chen@northeastern.edu
RI Wang, Hongqing/D-2575-2014; Wang, Nan/JOK-4683-2023
OI Wang, Nan/0000-0001-7569-9598; Chen, Qin Jim/0000-0002-6540-8758; Wang,
   Hongqing/0000-0002-2977-7732; Snedden, Gregg/0000-0001-7821-3709
FU National Fish and Wildlife Foundation (NFWF) [55032]; National Science
   Foundation [2139882]
FX This paper is based upon work supported in part by the National Fish and
   Wildlife Foundation (NFWF, Project #55032) and the National Science
   Foundation under Award No. 2139882. Any opinions, findings and
   conclusions or recommendations expressed in this paper are those of the
   authors and do not necessarily reflect the views of the National Science
   Foundation. Any use of trade, firm, or product names is for descriptive
   purposes only and does not imply endorsement by the U.S. Government. We
   thank Matt Whitbeck in the U.S. Fish & Wildlife Ser- vice, Chesapeake
   Marshlands National Wildlife Refuge Complex and Michael Brownley in the
   U.S. Geological Survey, Maryland -Delaware -D. C. Water Science Center
   for their assistance during the field deployment and retrieval of
   sensors. Data described in this paper are available in
CR Basco D., 2020, Design of coastal hazard mitigation alternatives for rising seas
   Bento PMR, 2021, OCEAN ENG, V219, DOI 10.1016/j.oceaneng.2020.108372
   Booij N, 1999, J GEOPHYS RES-OCEANS, V104, P7649, DOI 10.1029/98JC02622
   Dabbi EP, 2015, COAST ENG, V100, P11, DOI 10.1016/j.coastaleng.2015.03.007
   Elbisy MS, 2021, OCEAN ENG, V230, DOI 10.1016/j.oceaneng.2021.109077
   Fan ST, 2020, OCEAN ENG, V205, DOI 10.1016/j.oceaneng.2020.107298
   Filipot JF, 2012, COAST ENG, V67, P67, DOI 10.1016/j.coastaleng.2012.04.005
   Gao S, 2021, ACTA OCEANOL SIN, V40, P62, DOI 10.1007/s13131-020-1680-3
   Graves A, 2012, STUD COMPUT INTELL, V385, P1, DOI [10.1162/neco.1997.9.8.1735, 10.1007/978-3-642-24797-2, 10.1162/neco.1997.9.1.1]
   Hao W, 2022, OCEAN ENG, V246, DOI 10.1016/j.oceaneng.2022.110566
   Hardaway CS, 2010, COAST ENG, V57, P203, DOI 10.1016/j.coastaleng.2009.10.007
   Jörges C, 2021, OCEAN ENG, V232, DOI 10.1016/j.oceaneng.2021.109046
   Karimpour A, 2017, SCI REP-UK, V7, DOI 10.1038/srep40654
   Kingma DP, 2014, ADV NEUR IN, V27
   Kissas G, 2020, COMPUT METHOD APPL M, V358, DOI 10.1016/j.cma.2019.112623
   Leonardi N, 2016, P NATL ACAD SCI USA, V113, P64, DOI 10.1073/pnas.1510095112
   Londhe S.N., 2018, Advances In Coastal Hydraulics, P199
   Luo QR, 2022, OCEAN ENG, V266, DOI 10.1016/j.oceaneng.2022.112747
   Marani M, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL048995
   Mares-Nasarre P, 2021, COAST ENG, V164, DOI 10.1016/j.coastaleng.2020.103810
   McLoughlin SM, 2015, ESTUAR COAST, V38, P620, DOI 10.1007/s12237-014-9841-2
   Meng F, 2021, OCEAN ENG, V234, DOI 10.1016/j.oceaneng.2021.108795
   Meng ZF, 2022, OCEAN ENG, V262, DOI 10.1016/j.oceaneng.2022.112213
   Miky Y, 2021, OCEAN ENG, V240, DOI 10.1016/j.oceaneng.2021.109958
   Ni CH, 2020, OCEAN ENG, V215, DOI 10.1016/j.oceaneng.2020.107715
   O'Donnell JED, 2017, J COASTAL RES, V33, P435, DOI 10.2112/JCOASTRES-D-15-00184.1
   Perini Management Services, 2014, Smith Island, Martin National Wildlife Refuge, Hurricane Sandy Resiliency Project #31
   Rijnsdorp DP, 2021, J GEOPHYS RES-OCEANS, V126, DOI 10.1029/2021JC017368
   Sanford LP, 2018, ESTUAR COAST, V41, pS19, DOI 10.1007/s12237-017-0257-7
   Sareen K, 2023, OCEAN ENG, V281, DOI 10.1016/j.oceaneng.2023.114852
   Schwimmer RA, 2001, J COASTAL RES, V17, P672
   Ti ZL, 2022, APPL ENERG, V326, DOI 10.1016/j.apenergy.2022.120027
   Tolman H., 2009, User manual and system documentation of WAVEWATCH III TM version 3.14, P276
   Wang H., 2023, Field observation of wind waves and current velocity (2020) along the fog point living Shoreline, DOI [10.5066/P9TXZX5W, DOI 10.5066/P9TXZX5W]
   Wang N, 2023, APPL OCEAN RES, V135, DOI 10.1016/j.apor.2023.103537
   Wang N, 2022, COAST ENG, V176, DOI 10.1016/j.coastaleng.2022.104167
   Wang N, 2022, OCEAN ENG, V257, DOI 10.1016/j.oceaneng.2022.111669
   Wang N, 2022, OCEAN MODEL, V172, DOI 10.1016/j.ocemod.2022.101978
   Wei ZP, 2021, OCEAN ENG, V237, DOI 10.1016/j.oceaneng.2021.109646
   Xu GJ, 2023, APPL OCEAN RES, V134, DOI 10.1016/j.apor.2023.103511
   Yao J, 2022, OCEAN ENG, V263, DOI 10.1016/j.oceaneng.2022.112432
   Zhang ST, 2023, WATER RESOUR RES, V59, DOI 10.1029/2023WR034974
   Zhao LX, 2023, OCEAN ENG, V276, DOI 10.1016/j.oceaneng.2023.114136
   Zheng ZJ, 2020, OCEAN ENG, V216, DOI 10.1016/j.oceaneng.2020.108073
   Zhu L, 2020, ESTUAR COAST, V43, P739, DOI 10.1007/s12237-019-00670-7
   Zhu L, 2017, J ENG MECH, V143, DOI 10.1061/(ASCE)EM.1943-7889.0001328
NR 46
TC 0
Z9 0
U1 1
U2 11
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0141-1187
EI 1879-1549
J9 APPL OCEAN RES
JI Appl. Ocean Res.
PD DEC
PY 2023
VL 141
AR 103782
DI 10.1016/j.apor.2023.103782
EA NOV 2023
PG 17
WC Engineering, Ocean; Oceanography
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Oceanography
GA Y9PF2
UT WOS:001108500100001
DA 2025-01-10
ER

PT J
AU Tabunshchik, V
   Gorbunov, R
   Gorbunova, T
   Safonova, M
AF Tabunshchik, Vladimir
   Gorbunov, Roman
   Gorbunova, Tatiana
   Safonova, Mariia
TI Vegetation Dynamics of Sub-Mediterranean Low-Mountain Landscapes under
   Climate Change (on the Example of Southeastern Crimea)
SO FORESTS
LA English
DT Article
DE forest; change; ecosystems; GIS; remote sensing; NDVI; Crimean
   Peninsula; air temperature; precipitation; solar radiation;
   multispectral imagery
ID LAND-SURFACE TEMPERATURE; SPATIOTEMPORAL VARIATION; FORESTS; INDEX;
   NDVI; DIFFERENCE; VARIABILITY; PLATEAU; PATTERN; AFRICA
AB In the context of a changing environment, understanding the interaction between vegetation and climate is crucial for assessing, predicting, and adapting to future changes in different vegetation types. Vegetation exhibits high sensitivity to external environmental factors, making this understanding particularly significant. This study utilizes geospatial analysis techniques, such as geographic information systems, to investigate vegetation dynamics based on remote sensing data and climatic variables, including annual air temperature, annual precipitation, and annual solar radiation. The research methodology encompasses data collection, processing, and analysis, incorporating multispectral imagery and multilayered maps of various parameters. The calculation of the normalized difference vegetation index serves to evaluate changes in vegetation cover, identify areas experiencing variations in green biomass, and establish strategies for the future development of different vegetation types. During the period from 2001 to 2022, the average normalized difference vegetation index value in the Southeastern Crimea region amounted to 0.443. The highest average values were recorded in the year 2006, reaching a magnitude of 0.469. Conversely, the lowest values were observed in the years 2001-2002, constituting 0.397. It has been ascertained that an overarching positive trend in the evolution of NDVI values from 2001 to 2022 is apparent, thus implying a notable augmentation in vegetative biomass. However, adversarial trends manifest in discrete locales adjacent to the cities of Sudak and Feodosia, along with the coastal stretches of the Black Sea. Correlation analysis is employed to establish relationships between vegetation changes and climatic indicators. The findings contribute to our understanding of the vulnerability of various vegetation types and ecosystems in the Southeastern Crimea region. The obtained data provide valuable insights for the development of sustainable vegetation resource management strategies and climate change adaptation in the region.
C1 [Tabunshchik, Vladimir; Gorbunov, Roman; Gorbunova, Tatiana; Safonova, Mariia] RAS, AO Kovalevsky Inst Biol Southern Seas, Sevastopol 299011, Russia.
C3 Russian Academy of Sciences; AO Kovalevsky Institute of Biology of the
   Southern Seas of RAS (IBSS)
RP Gorbunova, T (corresponding author), RAS, AO Kovalevsky Inst Biol Southern Seas, Sevastopol 299011, Russia.
EM tabunshchyk@ya.ru; karadag_station@mail.ru; gorbunovatyu@gmail.com;
   malashina@ibss-ras.ru
RI Gorbunova, Tatiana/ITT-1115-2023; Gorbunov, Roman/AAD-3944-2019;
   Gorbunova, Tatiana/A-6149-2019; Tabunshchik, Vladimir/AAB-6288-2019;
   Safonova, Mariya/A-6199-2019
OI Gorbunov, Roman/0000-0002-8222-3819; Gorbunova,
   Tatiana/0000-0003-2155-6502; Tabunshchik, Vladimir/0000-0003-3555-6087;
   Safonova, Mariya/0000-0002-6605-5456
FU The authors are grateful to Kelip A. and Kalinowski P. for technical
   support of the study.
FX The authors are grateful to Kelip A. and Kalinowski P. for technical
   support of the study.
CR Abdullah AM, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11070790
   Banerjee A, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12040709
   Baret F., 1989, PROC IEEE GEOSCI REM, P1355, DOI [10.1109/IGARSS.1989.576128, DOI 10.1109/IGARSS.1989.576128]
   Bokov V.A., 2001, Landscape and Geophysical Conditions for the Growth of Forests in the Southeastern Part of the Mountainous Crimea
   Brancalion PHS, 2016, NAT CONSERVACAO, V14, P1, DOI 10.1016/j.ncon.2016.03.003
   Chen JL, 2023, J HYDROL, V622, DOI 10.1016/j.jhydrol.2023.129715
   Crevecoeur F, 2010, J NEUROSCI METH, V192, P163, DOI 10.1016/j.jneumeth.2010.07.017
   CRIPPEN RE, 1990, REMOTE SENS ENVIRON, V34, P71, DOI 10.1016/0034-4257(90)90085-Z
   Dhillon MS, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15071830
   ELVIDGE CD, 1985, REMOTE SENS ENVIRON, V17, P265, DOI 10.1016/0034-4257(85)90099-9
   Fan D, 2020, IEEE ACCESS, V8, P122579, DOI 10.1109/ACCESS.2020.3007073
   Fan L, 2023, NAT GEOSCI, V16, P56, DOI 10.1038/s41561-022-01087-x
   Fearnside PM, 1996, FOREST ECOL MANAG, V80, P35, DOI 10.1016/0378-1127(95)03648-2
   Funk C, 2015, SCI DATA, V2, DOI 10.1038/sdata.2015.66
   Gandhi GM, 2015, PROCEDIA COMPUT SCI, V57, P1199, DOI 10.1016/j.procs.2015.07.415
   Ghorbanian A, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14153683
   Gorbunov R., 2023, Functioning and Dynamics of Regional Geoecosystems in the Conditions of Climate Change (on the Example of the Crimean Peninsula)
   Gorbunov R, 2022, FORESTS, V13, DOI 10.3390/f13091370
   Gorbunov R, 2020, E3S WEB CONF, V169, DOI 10.1051/e3sconf/202016903007
   Grantham HS, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-19493-3
   Gu ZJ, 2018, ECOL INDIC, V93, P54, DOI 10.1016/j.ecolind.2018.04.033
   Han WJ, 2022, FORESTS, V13, DOI 10.3390/f13101643
   Hobbs R.J., 1990, REMOTE SENSING BIOSP, P203, DOI 10.1007/978-1-4612-3302-2_10
   Höll M, 2016, PHYS REV E, V94, DOI 10.1103/PhysRevE.94.042201
   Hu TG, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10060827
   Huete A, 2002, REMOTE SENS ENVIRON, V83, P195, DOI 10.1016/S0034-4257(02)00096-2
   HUETE AR, 1985, REMOTE SENS ENVIRON, V17, P37, DOI 10.1016/0034-4257(85)90111-7
   HUTCHINSON GE, 1957, COLD SPRING HARB SYM, V22, P415, DOI 10.1101/SQB.1957.022.01.039
   Hutyra LR, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL024981
   Jelowicki L, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12162618
   Jiang FG, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.892625
   Jiang FG, 2021, SCI TOTAL ENVIRON, V785, DOI 10.1016/j.scitotenv.2021.147335
   Jiang LL, 2017, SCI TOTAL ENVIRON, V599, P967, DOI 10.1016/j.scitotenv.2017.05.012
   Johnson DM, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13214227
   JORDAN CF, 1969, ECOLOGY, V50, P663, DOI 10.2307/1936256
   Kalisa W, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-53150-0
   Kang Y, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13173357
   Kauth R.J., 1976, P S MACH PROC REM SE, P41
   Keshta AE, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14094980
   Landuyt D, 2019, GLOBAL CHANGE BIOL, V25, P3625, DOI 10.1111/gcb.14756
   Laurance WF, 2017, FRONT ECOL EVOL, V5, DOI 10.3389/fevo.2017.00075
   Li CX, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15122965
   Li ML, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14225720
   Li P, 2021, CATENA, V203, DOI 10.1016/j.catena.2021.105331
   Li Z, 2015, J GEOPHYS RES-ATMOS, V120, P12345, DOI [10.1002/2015JD023618, 10.1002/2015JD023611]
   Liu B, 2021, LAND-BASEL, V10, DOI 10.3390/land10101080
   Long Q, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15071926
   [Лупян Е.А. Loupian E.A.], 2018, [Современные проблемы дистанционного зондирования Земли из космоса, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa], V15, P272, DOI 10.21046/2070-7401-2018-15-2-272-276
   Malawani MN, 2021, GEOSCIENCES, V11, DOI 10.3390/geosciences11030109
   Marchi M, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-00763-0
   Martín-Ortega P, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12020211
   Matsushita B, 2007, SENSORS-BASEL, V7, P2636, DOI 10.3390/s7112636
   Mayeux H.S., 1992, Noxious Range Weeds, V1st ed., P62, DOI [10.1201/9780429046483, DOI 10.1201/9780429046483]
   McAlpine CA, 2002, RANGELAND J, V24, P36, DOI 10.1071/RJ02002
   MCDANIEL KC, 1982, PHOTOGRAMM ENG REM S, V48, P441
   Mederski PS, 2009, IFOREST, V2, P140, DOI 10.3832/ifor0503-002
   Miles J., 1979, Vegetation Dynamics, DOI [10.1007/978-94-009-5798-5, DOI 10.1007/978-94-009-5798-5]
   Munoz Sabater J., 2019, ERA5-Land Monthly Averaged Data from 1981 to Present, DOI [10.24381/cds.68d2bb30?tab=overview, DOI 10.24381/CDS.68D2BB30?TAB=OVERVIEW]
   Ndayisaba F, 2016, REMOTE SENS-BASEL, V8, DOI 10.3390/rs8020129
   Negrón-Juárez RI, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabe9f
   Nogueira EM, 2015, GLOBAL CHANGE BIOL, V21, P1271, DOI 10.1111/gcb.12798
   Olivero J, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-14727-9
   Opoku A, 2019, RESOUR CONSERV RECY, V141, P1, DOI 10.1016/j.resconrec.2018.10.011
   Pearce DW, 2001, ECOSYST HEALTH, V7, P284, DOI 10.1046/j.1526-0992.2001.01037.x
   Piao SL, 2005, GLOBAL BIOGEOCHEM CY, V19, DOI 10.1029/2004GB002274
   Pimentel D, 1997, HUM ECOL, V25, P91, DOI 10.1023/A:1021987920278
   Potapov P, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12030426
   Potapov P, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1600821
   QI J, 1994, REMOTE SENS ENVIRON, V48, P119, DOI 10.1016/0034-4257(94)90134-1
   Khuc QV, 2018, FOREST POLICY ECON, V90, P128, DOI 10.1016/j.forpol.2018.02.004
   Riccioli F, 2019, NEW FOREST, V50, P345, DOI 10.1007/s11056-018-9663-3
   Richardson A. J., 1992, Geocarto International, V7, P63, DOI 10.1080/10106049209354353
   Romero-Alvarez D, 2017, MEM I OSWALDO CRUZ, V112, P292, DOI 10.1590/0074-02760160415
   RUDENKO L.H., 2007, National Atlas of Ukraine
   Saikia A, 2009, SCOT GEOGR J, V125, P195, DOI 10.1080/14702540903071113
   Shadchinov SM, 2021, IZV ATMOS OCEAN PHY+, V57, P1586, DOI 10.1134/S0001433821120185
   Shen P, 2020, GEOMORPHOLOGY, V352, DOI 10.1016/j.geomorph.2019.106989
   Shibani N., 2023, IOP Conference Series: Earth and Environmental Science, DOI 10.1088/1755-1315/1110/1/012070
   Shinkarenko S., 2021, Mod. Probl. Remote Sens. Earth Space, V18, P226, DOI DOI 10.21046/2070-7401-2021-18-5-226-241
   Skorokhod EY, 2021, PHYS OCEANOGR, V28, P215, DOI 10.22449/1573-160X-2021-2-215-227
   Sun GQ, 2022, PHYS LIFE REV, V43, P239, DOI 10.1016/j.plrev.2022.09.005
   Sun J, 2019, ECOL INDIC, V107, DOI 10.1016/j.ecolind.2019.105647
   Tabunshchik V.A., 2019, Geopolit. Ecogeodynamics Reg, V5, P225
   Tang CJ, 2021, ECOL INDIC, V129, DOI 10.1016/j.ecolind.2021.107956
   Thonicke K, 2001, GLOBAL ECOL BIOGEOGR, V10, P661, DOI 10.1046/j.1466-822X.2001.00175.x
   Tong SQ, 2018, J GEOGR SCI, V28, P595, DOI 10.1007/s11442-018-1493-x
   Touré AA, 2019, CATENA, V177, P272, DOI 10.1016/j.catena.2019.02.011
   Verrall B, 2020, SCI TOTAL ENVIRON, V748, DOI 10.1016/j.scitotenv.2020.141344
   Kantelhardt JW, 2008, Arxiv, DOI arXiv:0804.0747
   Wang J, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15075981
   Waseem S, 2019, J CLEAN PROD, V234, P972, DOI 10.1016/j.jclepro.2019.06.228
   Wieczynski DJ, 2019, P NATL ACAD SCI USA, V116, P587, DOI 10.1073/pnas.1813723116
   Wu ZH, 2019, ENVIRON EARTH SCI, V78, DOI 10.1007/s12665-019-8111-9
   Yang J, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11123256
   Yurova AY, 2011, IZV ATMOS OCEAN PHY+, V47, P531, DOI 10.1134/S0001433811050124
   Zhou ZQ, 2020, ECOL INDIC, V117, DOI 10.1016/j.ecolind.2020.106642
NR 96
TC 1
Z9 1
U1 0
U2 4
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1999-4907
J9 FORESTS
JI Forests
PD OCT
PY 2023
VL 14
IS 10
AR 1969
DI 10.3390/f14101969
PG 23
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA W7PV2
UT WOS:001093518000001
OA gold
DA 2025-01-10
ER

PT J
AU Xu, WL
   Lin, TS
   Lei, XY
   Chen, Y
   Gao, L
AF Xu, Wanling
   Lin, Tianshu
   Lei, Xiangyong
   Chen, Ying
   Gao, Lu
TI Anthropogenic emissions and land use/cover change contributions to
   extreme temperature changes over China
SO ATMOSPHERIC RESEARCH
LA English
DT Article
DE Anthropogenic forcing; CMIP6; Attribution; Extreme temperature; China
ID CLIMATE-CHANGE; COVER CHANGES; HOT EXTREMES; TIBETAN PLATEAU;
   PRECIPITATION; ATTRIBUTION; MORTALITY; RESPONSES; FORCINGS; IMPACTS
AB Extreme weather and climate events tend to increase and strengthen as global warming intensifies, which severely affect human life and sustainable economic development. Therefore, based on the Detection and Attribution Model Intercomparison Project (DAMIP) and the Land Use Model Intercomparison Project (LUMIP) provided by the Coupled Model Intercomparison Project phase 6 (CMIP6), the optimal fingerprinting method is applied to quantify the greenhouse gases (GHG), aerosols (AA), natural forcing (NAT), and land use/cover change (LUCC) contributions to the intensity, frequency, and duration of extreme temperatures in China during 1960-2020. The results show that GHG is the main driver of extreme temperature changes in China, except for ice days (ID0) and cold spells (CSDI). GHG causes an increase in warm spells (WSDI) by about 10 days and an extension of the growing season length (GSL) by 6 to 8 days. The Tibetan Plateau is the region with the strongest extreme temperature changes influenced by GHG. AA forcing has a cooling effect that partially offsets the warming effect of GHG, especially in southeastern China. It should be pointed out that AA forcing is also the main driver for the changes in diurnal temperature range (DTR) in southeastern China, which exceeds the GHG contribution. Additionally, LUCC has greater impact in nighttime extreme temperature indices changes than the regional AA, and becomes the second dominant factor beside GHG. LUCC leads to an attributable cooling contribution of 0.34 degrees C for the maximum of daily minimum temperatures (TNx). Spatially, the LUCC effects on extreme temperature changes are stronger in western China than in eastern China. The more robust estimation of the GHG, AA, NAT, and LUCC contributions over distinct regions provides an advanced understanding of anthropogenic impacts on regional extreme temperatures, which is expected to be an important reference for regional climate change adaptation and mitigation.
C1 [Xu, Wanling; Chen, Ying; Gao, Lu] Fujian Normal Univ, Inst Geog, Fuzhou 350007, Peoples R China.
   [Xu, Wanling; Chen, Ying; Gao, Lu] Fujian Normal Univ, Coll Geog Sci, Fuzhou 350007, Peoples R China.
   [Lin, Tianshu] Univ Michigan, Sch Environm & Sustainabil, Ann Arbor, MI 48109 USA.
   [Lei, Xiangyong] Peking Univ, Inst Remote Sensing & GIS, Sch Earth & Space Sci, Beijing 100871, Peoples R China.
   [Chen, Ying; Gao, Lu] Fujian Normal Univ, Fujian Prov Engn Res Ctr Monitoring & Accessing Te, Fuzhou 350007, Peoples R China.
   [Chen, Ying; Gao, Lu] Fujian Normal Univ, Key Lab Humid Subtrop Ecogeog Proc Minist Educ, Fuzhou 350007, Peoples R China.
C3 Fujian Normal University; Fujian Normal University; University of
   Michigan System; University of Michigan; Peking University; Fujian
   Normal University; Fujian Normal University
RP Gao, L (corresponding author), Fujian Normal Univ, Inst Geog, Fuzhou 350007, Peoples R China.
EM l.gao@foxmail.com
RI Lei, Xiangyong/IYJ-0605-2023; Lin, Tianshu/KYP-2683-2024; Gao,
   Lu/E-2867-2014
FU National Natural Science Foundation of China [42271030]; Fujian
   Provincial Funds for Distin-guished Young Scientists [2022J06018];
   Scientific Project of Fujian Provincial Department of Science and
   Technology [2022Y0007]
FX Information Center (http://data.cma.cn) . CMIP6 multi-model data were
   supported by the CMIP6's public web server (https://esgf-node.llnl.
   gov/projects/cmip6/) . This work was supported by the National Natural
   Science Foundation of China (Grant No. 42271030) , Fujian Provincial
   Funds for Distin-guished Young Scientists (Grant No. 2022J06018) , and
   the Scientific Project of Fujian Provincial Department of Science and
   Technology (Grant no. 2022Y0007) . We thank two anonymous reviewers for
   their helpful comments.
CR Alexander LV, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006290
   Allen MR, 2003, CLIM DYNAM, V21, P477, DOI 10.1007/s00382-003-0313-9
   [Anonymous], 2021, State of Climate in 2021: Extreme events and major impacts
   Avila FB, 2012, J GEOPHYS RES-ATMOS, V117, DOI 10.1029/2011JD016382
   Betts RA, 2007, NATURE, V448, P1037, DOI 10.1038/nature06045
   Bonan GB, 2008, SCIENCE, V320, P1444, DOI 10.1126/science.1155121
   Bonfils CJW, 2020, NAT CLIM CHANGE, V10, P726, DOI 10.1038/s41558-020-0821-1
   Boysen LR, 2020, BIOGEOSCIENCES, V17, P5615, DOI 10.5194/bg-17-5615-2020
   Bright RM, 2015, ENVIRON SCI TECHNOL, V49, P3291, DOI 10.1021/es505465t
   Brovkin V, 2013, J CLIMATE, V26, P6859, DOI 10.1175/JCLI-D-12-00623.1
   Cai WJ, 2021, LANCET PUBLIC HEALTH, V6, pE932, DOI 10.1016/S2468-2667(21)00209-7
   Chen CC, 2021, SCI TOTAL ENVIRON, V760, DOI 10.1016/j.scitotenv.2020.143373
   [程维明 Cheng Weiming], 2019, [地理学报, Acta Geographica Sinica], V74, P839
   Chiang F, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22314-w
   CMA, 2021, Blue book on climate change in China
   Davin EL, 2014, P NATL ACAD SCI USA, V111, P9757, DOI 10.1073/pnas.1317323111
   de Noblet-Ducoudré N, 2012, J CLIMATE, V25, P3261, DOI 10.1175/JCLI-D-11-00338.1
   Donat M.G., 2013, B AM METEOROL SOC, DOI [10.1175/bams-d-12-00109, DOI 10.1175/BAMS-D-12-00109]
   Donat MG, 2014, J CLIMATE, V27, P5019, DOI 10.1175/JCLI-D-13-00405.1
   Dong SY, 2021, J CLIMATE, V34, P871, DOI 10.1175/JCLI-D-19-1017.1
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   Findell KL, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-01038-w
   Fischer EM, 2015, NAT CLIM CHANGE, V5, P560, DOI 10.1038/nclimate2617
   Flynn CM, 2020, ATMOS CHEM PHYS, V20, P7829, DOI 10.5194/acp-20-7829-2020
   Foley JA, 2005, SCIENCE, V309, P570, DOI 10.1126/science.1111772
   Gao L, 2018, ATMOS RES, V205, P60, DOI 10.1016/j.atmosres.2018.02.006
   Gao L, 2017, J HYDROMETEOROL, V18, P669, DOI [10.1175/jhm-d-16-0119.1, 10.1175/JHM-D-16-0119.1]
   Gidden MJ, 2019, GEOSCI MODEL DEV, V12, P1443, DOI 10.5194/gmd-12-1443-2019
   Gillett NP, 2016, GEOSCI MODEL DEV, V9, P3685, DOI 10.5194/gmd-9-3685-2016
   Gong CS, 2017, ATMOS RES, V197, P177, DOI 10.1016/j.atmosres.2017.07.002
   Han PP, 2023, ATMOS RES, V284, DOI 10.1016/j.atmosres.2022.106584
   HASSELMANN K, 1993, J CLIMATE, V6, P1957, DOI 10.1175/1520-0442(1993)006<1957:OFFTDO>2.0.CO;2
   Hirsch AL, 2014, GEOPHYS RES LETT, V41, P5883, DOI 10.1002/2014GL061179
   Hong T, 2022, ATMOSPHERE-BASEL, V13, DOI 10.3390/atmos13060995
   Horton RM, 2016, CURR CLIM CHANGE REP, V2, P242, DOI 10.1007/s40641-016-0042-x
   Hu T, 2022, INT J CLIMATOL, V42, P2981, DOI 10.1002/joc.7402
   Hu T, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab8497
   Huang HL, 2020, J CLIMATE, V33, P8997, DOI 10.1175/JCLI-D-20-0108.1
   Jia HL, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-23888-1
   Jin QJ, 2017, REMOTE SENS-BASEL, V9, DOI 10.3390/rs9090900
   Kharin VV, 2005, J CLIMATE, V18, P1156, DOI 10.1175/JCLI3320.1
   Kim YH, 2016, CLIM DYNAM, V46, P1769, DOI 10.1007/s00382-015-2674-2
   King AD, 2017, EARTHS FUTURE, V5, P1156, DOI 10.1002/2017EF000611
   Lawrence D.M., 2016, GEOSCI
   Lawrence P.J., 2012, SIMULATING BIOGEOCHE
   Lei XY, 2021, J HYDROL-REG STUD, V37, DOI 10.1016/j.ejrh.2021.100920
   Lei XY, 2021, PHYS CHEM EARTH, V123, DOI 10.1016/j.pce.2021.103019
   Li QX, 2022, NAT CLIM CHANGE, V12, P343, DOI 10.1038/s41558-022-01313-9
   Li WT, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14112544
   Li X, 2018, J GEOPHYS RES-ATMOS, V123, P3497, DOI 10.1002/2017JD028161
   Li X, 2017, INT J CLIMATOL, V37, P59, DOI 10.1002/joc.4976
   Lu CH, 2016, GEOPHYS RES LETT, V43, P6511, DOI 10.1002/2016GL069296
   Mahmood R, 2010, B AM METEOROL SOC, V91, P37, DOI 10.1175/2009BAMS2769.1
   Mancuso FP, 2023, SCI TOTAL ENVIRON, V858, DOI 10.1016/j.scitotenv.2022.160037
   Meehl GA, 2007, B AM METEOROL SOC, V88, P1383, DOI 10.1175/BAMS-88-9-1383
   Min SK, 2013, J CLIMATE, V26, P7430, DOI 10.1175/JCLI-D-12-00551.1
   Min SK, 2009, CLIM DYNAM, V32, P95, DOI 10.1007/s00382-008-0376-8
   Ming Y, 2011, J CLIMATE, V24, P6077, DOI 10.1175/2011JCLI4111.1
   Mondal A, 2015, J HYDROL, V529, P1161, DOI 10.1016/j.jhydrol.2015.09.030
   Mukherjee S, 2021, EARTHS FUTURE, V9, DOI 10.1029/2020EF001886
   Obahoundje S, 2023, SCI TOTAL ENVIRON, V863, DOI 10.1016/j.scitotenv.2022.160806
   Pielke RA, 2011, WIRES CLIM CHANGE, V2, P828, DOI 10.1002/wcc.144
   Pongratz J, 2021, CURR CLIM CHANGE REP, V7, P99, DOI 10.1007/s40641-021-00178-y
   Qu X, 2020, CLIM DYNAM, V55, P1631, DOI 10.1007/s00382-020-05349-5
   Qu X, 2020, CLIM DYNAM, V55, P1793, DOI 10.1007/s00382-020-05353-9
   Quang-Van Doan, 2022, GEOPHYS RES LETT, V49, DOI 10.1029/2022GL100029
   Ribes A, 2013, CLIM DYNAM, V41, P2837, DOI 10.1007/s00382-013-1736-6
   Santer BD, 2007, P NATL ACAD SCI USA, V104, P15248, DOI 10.1073/pnas.0702872104
   Seong MG, 2021, J CLIMATE, V34, P857, DOI 10.1175/JCLI-D-19-1023.1
   Shen XJ, 2014, J GEOPHYS RES-ATMOS, V119, P13163, DOI 10.1002/2014JD022326
   Sheridan SC, 2018, J GEOPHYS RES-ATMOS, V123, P11889, DOI 10.1029/2018JD029150
   Singh N, 2019, SCI TOTAL ENVIRON, V665, P453, DOI 10.1016/j.scitotenv.2019.02.074
   Smith ET, 2019, SCI TOTAL ENVIRON, V647, P342, DOI 10.1016/j.scitotenv.2018.07.466
   Stjern CW, 2020, ATMOS CHEM PHYS, V20, P13467, DOI 10.5194/acp-20-13467-2020
   Summary for Policymakers, 2001, CLIMATE CHANGE 2001, P2
   Sun Y, 2022, NATL SCI REV, V9, DOI 10.1093/nsr/nwab113
   Sun Y, 2019, GEOPHYS RES LETT, V46, P11426, DOI 10.1029/2019GL084281
   Sun Y, 2016, NAT CLIM CHANGE, V6, P706, DOI [10.1038/nclimate2956, 10.1038/NCLIMATE2956]
   Tang B, 2022, EARTHS FUTURE, V10, DOI 10.1029/2021EF002525
   Vogel MM, 2019, EARTHS FUTURE, V7, P692, DOI 10.1029/2019EF001189
   Wang J, 2021, NAT CLIM CHANGE, V11, P1084, DOI 10.1038/s41558-021-01196-2
   Wang ZL, 2021, NPJ CLIM ATMOS SCI, V4, DOI 10.1038/s41612-020-00159-2
   Wang Z, 2021, J AM STAT ASSOC, V116, P1, DOI 10.1080/01621459.2020.1730852
   Wang Z, 2017, J CLIMATE, V30, P7035, DOI 10.1175/JCLI-D-15-0835.1
   Wen QZH, 2013, GEOPHYS RES LETT, V40, P1171, DOI 10.1002/grl.50285
   Wilfert L, 2016, SCIENCE, V351, P594, DOI 10.1126/science.aac9976
   Wilhelm M, 2015, J GEOPHYS RES-ATMOS, V120, P2612, DOI 10.1002/2014JD022293
   WMO, 2021, The Atlas of Mortality and Economic Losses from Weather, Climate and Water Extremes (1970-2019)
   Xu WL, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.984395
   Xu WF, 2022, FRONT ENERGY RES, V10, DOI 10.3389/fenrg.2022.928162
   Xu YY, 2018, CLIMATIC CHANGE, V146, P393, DOI 10.1007/s10584-015-1565-1
   Xu ZF, 2017, CLIMATIC CHANGE, V144, P491, DOI 10.1007/s10584-017-2025-x
   Yang Y, 2017, ADV ATMOS SCI, V34, P181, DOI 10.1007/s00376-016-6077-z
   Yin H, 2018, ADV CLIM CHANG RES, V9, P218, DOI 10.1016/j.accre.2019.01.001
   Yin H, 2018, J CLIMATE, V31, P6341, DOI 10.1175/JCLI-D-17-0853.1
   Yin H, 2017, INT J CLIMATOL, V37, P1229, DOI 10.1002/joc.4771
   Yin H, 2015, INT J CLIMATOL, V35, P2809, DOI 10.1002/joc.4174
   You QL, 2016, INT J CLIMATOL, V36, P2633, DOI 10.1002/joc.4517
   Zhang M., 2022, PROJECTION FUTURE CL, DOI [10.3389/fenvs.2022.985145, DOI 10.3389/FENVS.2022.985145]
   Zhang SQ, 2022, ATMOS RES, V277, DOI 10.1016/j.atmosres.2022.106307
   Zhang XB, 2013, GEOPHYS RES LETT, V40, P5252, DOI 10.1002/grl.51010
   Zhu ZC, 2016, NAT CLIM CHANGE, V6, P791, DOI [10.1038/NCLIMATE3004, 10.1038/nclimate3004]
NR 102
TC 8
Z9 8
U1 12
U2 52
PU ELSEVIER SCIENCE INC
PI NEW YORK
PA STE 800, 230 PARK AVE, NEW YORK, NY 10169 USA
SN 0169-8095
EI 1873-2895
J9 ATMOS RES
JI Atmos. Res.
PD SEP 1
PY 2023
VL 292
AR 106845
DI 10.1016/j.atmosres.2023.106845
EA JUN 2023
PG 18
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA M4RU7
UT WOS:001030107200001
DA 2025-01-10
ER

PT J
AU Sohail, MT
   Chen, SM
AF Sohail, Muhammad Tayyab
   Chen, Shaoming
TI A systematic PLS-SEM approach on assessment of indigenous knowledge in
   adapting to floods; A way forward to sustainable agriculture
SO FRONTIERS IN PLANT SCIENCE
LA English
DT Article
DE farmer; PLS-SEM; climate change; floods; South Punjab; Pakistan
ID CLIMATE-CHANGE ADAPTATION; WATER-QUALITY; CROP INSURANCE; FARMERS
   ADAPTATION; RISK PERCEPTIONS; MANAGEMENT; VULNERABILITY; VARIABILITY;
   DRINKING; IMPACTS
AB The present study was conducted in one of the major agriculture areas to check farmers indigenous knowledge about the impacts of floods on their farming lives, food security, sustainable development, and risk assessment. In the current study, primary data was used to analyze the situation. A semi-structured questionnaire was distributed among farmers. We have collected a cross-sectional dataset and applied the PLS-SEM dual-stage hybrid model to test the proposed hypotheses and rank the social, economic, and technological factors according to their normalized importance. Results revealed that farmers' knowledge associated with adaption strategies, food security, risk assessment, and livelihood assets are the most significant predictors. Farmers need to have sufficient knowledge about floods, and it can help them to adopt proper measurements. A PLS-SEM dual-stage hybrid model was used to check the relationship among all variables, which showed a significant relationship among DV, IV, and control variables. PLS-SEM direct path analysis revealed that AS (b = 0.155; p 0.001), FS (b = 0.343; p 0.001), LA (b = 0.273; p 0.001), RA (b = 0.147; p 0.006), and for FKF have statistically significant values of beta, while SD (b = 0.079NS) is not significant. These results offer support to hypotheses H1 through H4 and H5 being rejected. On the other hand, age does not have any relationship with farmers' knowledge of floods. Our study results have important policy suggestions for governments and other stakeholders to consider in order to make useful policies for the ecosystem. The study will aid in the implementation of effective monitoring and public policies to promote integrated and sustainable development, as well as how to minimize the impacts of floods on farmers' lives and save the ecosystem and food.
C1 [Sohail, Muhammad Tayyab] Xiangtan Univ, Sch Publ Adm, Xiangtan, Hunan, Peoples R China.
   [Sohail, Muhammad Tayyab] Xiangtan Univ, Sch Publ Adm, South Asia Res Ctr, Xiangtan, Hunan, Peoples R China.
   [Chen, Shaoming] Guangzhou City Univ Technol, Int Business Sch, Guangzhou, Peoples R China.
C3 Xiangtan University; Xiangtan University
RP Chen, SM (corresponding author), Guangzhou City Univ Technol, Int Business Sch, Guangzhou, Peoples R China.
EM chensm@gcu.edu.cn
RI chen, shaoming/GQA-8327-2022
CR Abid M, 2016, SCI TOTAL ENVIRON, V547, P447, DOI 10.1016/j.scitotenv.2015.11.125
   Achard F, 2002, SCIENCE, V297, P999, DOI 10.1126/science.1070656
   Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Adger W.N., 2004, New indicators of vulnerability and adaptive capacity
   Adger W. N., 1999, Mitig Adapt Strateg Glob Change, V4, P253, DOI [10.1023/A:1009601904210, DOI 10.1023/A:1009601904210]
   Adger W.N., 2006, Fairness in adaptation to climate change, P1
   Alam GMM, 2017, CLIM RISK MANAG, V17, P52, DOI 10.1016/j.crm.2017.06.006
   Ali A, 2017, CLIM RISK MANAG, V16, P183, DOI 10.1016/j.crm.2016.12.001
   Ali F., 2013, Journal of Hotel and Tourism Management Marketing, V27, P9
   Aliagha UG, 2014, NAT HAZARD EARTH SYS, V14, P3297, DOI 10.5194/nhess-14-3297-2014
   [Anonymous], 2000, Linking social and ecological systems: management practices and social mechanisms for building resilience
   Atta-ur-Rahman, 2010, HETEROCYCLES, V82, P813, DOI 10.3987/COM-10-S(E)6
   Azam SE, 2012, MECH RES COMMUN, V46, P54, DOI 10.1016/j.mechrescom.2012.08.006
   Barnett J., 2006, FAIRNESS ADAPTATION, P115
   Begum H., 2014, INT J AGR FOOD RES, V3, P1, DOI [10.24102/ijafr.v3i2.498, DOI 10.24102/IJAFR.V3I2.498]
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   Benson C., 2004, Understanding the Economic and Financial Impacts of Natural Disasters
   Bruijnzeel L.A., 1990, HYDROLOGY MOIST TROP
   Bruijnzeel LA, 2004, AGR ECOSYST ENVIRON, V104, P185, DOI 10.1016/j.agee.2004.01.015
   Bryan E, 2013, J ENVIRON MANAGE, V114, P26, DOI 10.1016/j.jenvman.2012.10.036
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Budhathoki NK, 2020, NAT HAZARDS, V103, P3213, DOI 10.1007/s11069-020-04127-0
   Champonnois V, 2021, J FLOOD RISK MANAG, V14, DOI 10.1111/jfr3.12696
   Clark B, 2021, WATER-SUI, V13, DOI 10.3390/w13070959
   Deressa T. T., 2009, Global Environmental Change, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Di Falco S, 2014, J AGR ECON, V65, P485, DOI 10.1111/1477-9552.12053
   Enjolras G., 2012, Agricultural Economics Review, V13, P5
   Fahad S, 2020, LAND USE POLICY, V96, DOI 10.1016/j.landusepol.2020.104669
   Fahad S, 2020, ENVIRON SCI POLLUT R, V27, P1334, DOI 10.1007/s11356-019-06878-1
   Ferdushi KF, 2019, CLIMATE, V7, DOI 10.3390/cli7070085
   Fong LHN, 2013, EUR J TOUR RES, V6, P211, DOI 10.1016/j.lrp.2013.01.002
   FORNELL C, 1981, J MARKETING RES, V18, P39, DOI 10.2307/3151312
   Gong Yan Gong Yan, 2003, Journal of Nanjing Institute of Meteorology, V26, P349
   Goodwin B.K., 1995, The economics of crop insurance and disaster aid
   Goodwin B. K., 2004, RISK MODELING CONCEP
   Gorst C, 2015, DIABETES CARE, V38, P2354, DOI 10.2337/dc15-1188
   Hair JF Jr, 2020, J BUS RES, V109, P101, DOI 10.1016/j.jbusres.2019.11.069
   Harvey David., 2014, 17 CONTRADICTIONS EN
   Henseler J, 2015, J ACAD MARKET SCI, V43, P115, DOI 10.1007/s11747-014-0403-8
   Hirabayashi Y, 2013, NAT CLIM CHANGE, V3, P816, DOI [10.1038/nclimate1911, 10.1038/NCLIMATE1911]
   Hoanh C. T., 2006, Environment and livelihoods in tropical coastal zones: managing agriculture-fishery-aquaculture conflicts, DOI 10.1079/9781845931070.0000
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hossain M. A., 2019, SCI TECHNOL ENV INFO, V6, P474, DOI [10.18801/jstei.060219.50, DOI 10.18801/JSTEI.060219.50]
   Jakobsen J, 2007, AGR SYST, V94, P309, DOI 10.1016/j.agsy.2006.09.007
   Jamshed A, 2019, INT J DISAST RISK RE, V36, DOI 10.1016/j.ijdrr.2019.101109
   Jamshidi O, 2019, CLIM RISK MANAG, V23, P146, DOI 10.1016/j.crm.2018.06.002
   Jian L, 2021, ENVIRON SCI POLLUT R, V28, P67667, DOI 10.1007/s11356-021-15359-3
   Jiang AY, 2021, ENVIRON SCI POLLUT R, V28, P55526, DOI 10.1007/s11356-021-14753-1
   Kavvada A, 2018, INT GEOSCI REMOTE SE, P434, DOI 10.1109/IGARSS.2018.8519405
   Khan I, 2021, ENVIRON SCI POLLUT R, V28, P29720, DOI 10.1007/s11356-021-12801-4
   Khan NA, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-71011-z
   Kreft S., 2013, Global Climate Risk Index 2014
   Kuang FY, 2020, J ENVIRON MANAGE, V264, DOI 10.1016/j.jenvman.2020.110463
   Lan H, 2022, ENVIRON SCI POLLUT R, V29, P47225, DOI 10.1007/s11356-022-19096-z
   Laurance WF, 2004, PHILOS T R SOC B, V359, P345, DOI 10.1098/rstb.2003.1430
   Lechowska E, 2018, NAT HAZARDS, V94, P1341, DOI 10.1007/s11069-018-3480-z
   Li Y., 2022, RES SQUARE, DOI [10.21203/rs.3.rs-1355688/v1, DOI 10.21203/RS.3.RS-1355688/V1]
   Li YK, 2022, ENVIRON SCI POLLUT R, V29, P73542, DOI 10.1007/s11356-022-21011-5
   Liu N, 2022, ENVIRON SCI POLLUT R, V29, P18452, DOI 10.1007/s11356-021-17032-1
   Liu YY, 2022, ENVIRON SCI POLLUT R, V29, P6766, DOI 10.1007/s11356-021-16167-5
   Lu FM, 2022, FRONT PSYCHOL, V13, DOI 10.3389/fpsyg.2022.870623
   Luino F, 2018, INT J DISAST RISK RE, V27, P343, DOI 10.1016/j.ijdrr.2017.10.021
   Maheen H., 2017, PLoS Currents, V9, DOI 10.1371/currents.dis.7285361a16eefbeddacc8599f326a1dd
   Mahfooz Y, 2020, DESALIN WATER TREAT, V177, P167, DOI 10.5004/dwt.2020.24949
   Mahfooz Y, 2019, ENVIRON SCI POLLUT R, V26, P20853, DOI 10.1007/s11356-019-05367-9
   Mahfooz Y, 2017, DESALIN WATER TREAT, V85, P132, DOI 10.5004/dwt.2017.21195
   Misra M, 2017, CLIM DEV, V9, P337, DOI 10.1080/17565529.2016.1145101
   Mondal P, 2020, CHEMOSPHERE, V259, DOI 10.1016/j.chemosphere.2020.127509
   Mortimore MJ, 2001, GLOBAL ENVIRON CHANG, V11, P49, DOI 10.1016/S0959-3780(00)00044-3
   MUHAMMAD AM, 2014, NAT ENVIRON POLLUT T, V13, P1
   Mustafa D., 1997, Water International, V22, P238, DOI 10.1080/02508069708686712
   Mustafa S, 2022, INT J ELECTRON COMM, V26, P441, DOI 10.1080/10864415.2022.2123645
   Mustafa S, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.955245
   Mustafa S, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.940659
   Mustafa S, 2022, FRONT PSYCHOL, V13, DOI 10.3389/fpsyg.2022.956281
   Mustafa S, 2023, CURR PSYCHOL, V42, P10468, DOI 10.1007/s12144-022-03307-4
   Mustafa S, 2021, PROCEEDINGS OF 2021 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY WORKSHOPS AND SPECIAL SESSIONS: (WI-IAT WORKSHOP/SPECIAL SESSION 2021), P433, DOI 10.1145/3498851.3498992
   Mustafa S, 2022, FRONT PSYCHOL, V13, DOI 10.3389/fpsyg.2022.920594
   Mustafa S, 2022, FRONT PSYCHOL, V13, DOI 10.3389/fpsyg.2022.836194
   NDMA, 2014, INF FLOODS
   Parvin GA, 2016, CLIMATE, V4, DOI 10.3390/cli4040060
   Patt AG, 2008, GLOBAL ENVIRON CHANG, V18, P458, DOI 10.1016/j.gloenvcha.2008.04.002
   Rasool A., 2017, Journal of Applied Sciences, V17, P116, DOI DOI 10.3923/JAS.2017.116.125
   Rees HG, 2006, HYDROL PROCESS, V20, P2157, DOI 10.1002/hyp.6209
   Roberts J.Timmons., 2007, CLIMATE INJUSTICE
   Rosenzweig C., 2001, GLOBAL CHANGE HUMAN, V2, P90, DOI DOI 10.1023/A:1015086831467
   Samu R, 2018, INT J DISAST RISK RE, V31, P691, DOI 10.1016/j.ijdrr.2018.07.013
   Saqib SE, 2016, INT J DISAST RISK RE, V17, P67, DOI 10.1016/j.ijdrr.2016.03.008
   Sen A.K., 1981, POVERTY FAMINES
   Shahab A, 2016, POL J ENVIRON STUD, V25, P2563, DOI 10.15244/pjoes/63777
   Shukla R, 2019, CLIMATIC CHANGE, V152, P103, DOI 10.1007/s10584-018-2314-z
   Singh RK, 2017, APPL GEOGR, V86, P41, DOI 10.1016/j.apgeog.2017.06.018
   Smit B., 2002, Mitigation and Adaptation Strategies for Global Change, V7, P85, DOI 10.1023/A:1015862228270
   Sohail M. T., 2014, Current World Environment, V9, P670, DOI 10.12944/CWE.9.3.16
   Sohail M.T., 2013, AM J IND BUS MANAG, V3, DOI [10.4236/ajibm.2013.35059, DOI 10.4236/AJIBM.2013.35059]
   Sohail M.T., 2013, Journal of Contemporary Research in Business, V4, P126
   Sohail M. T., 2017, ABASYN J SOC SCI, V10
   Sohail MT, 2015, ASIA PAC J MULTIDISC, V3, P48
   Sohail MT, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.948016
   Sohail MT, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.900193
   Sohail MT, 2022, FRONT MATER, V9, DOI 10.3389/fmats.2022.864254
   Sohail MT, 2022, ENVIRON SCI POLLUT R, V29, P25184, DOI 10.1007/s11356-021-17646-5
   Sohail MT, 2021, POL J ENVIRON STUD, V30, P4663, DOI 10.15244/pjoes/134292
   Sohail MT, 2021, ENVIRON SCI POLLUT R, V28, P31575, DOI 10.1007/s11356-021-12867-0
   Sohail MT, 2021, ENVIRON SCI POLLUT R, V28, P29265, DOI 10.1007/s11356-021-12690-7
   Sohail MT, 2021, ENVIRON SCI POLLUT R, V28, P29046, DOI 10.1007/s11356-021-12654-x
   Sohail MT, 2020, DESALIN WATER TREAT, V181, P239, DOI 10.5004/dwt.2020.25119
   Sohail MT, 2019, DESALIN WATER TREAT, V171, P105, DOI 10.5004/dwt.2019.24925
   Sohail MT, 2019, DESALIN WATER TREAT, V159, P402, DOI 10.5004/dwt.2019.24156
   Somda J., 2017, Evaluating Climate Change Action for Sustainable Development, P255, DOI DOI 10.1007/978-3-319-43702-6_14
   Str6mberg D., 2007, EC PERSPECT, V21, P199, DOI [10.1257/jep.21.3.199, DOI 10.1257/JEP.21.3.199]
   [孙凤华 Sun Fenghua], 2005, [生态学杂志, Chinese Journal of Ecology], V24, P751
   Surminski S., 2013, DO FLOOD INSURANCE S
   Surminski S, 2014, INT J DISAST RISK RE, V7, P154, DOI 10.1016/j.ijdrr.2013.10.005
   Tayyab SohailM., 2014, Research Journal of Applied Sciences, Engineering and Technology, V8, P644, DOI [DOI 10.19026/RJASET.8.1017, 10.19026/rjaset.8, DOI 10.19026/RJASET.8]
   Thoai TQ, 2018, LAND USE POLICY, V70, P224, DOI 10.1016/j.landusepol.2017.10.023
   Thomalla F, 2006, DISASTERS, V30, P39, DOI 10.1111/j.1467-9523.2006.00305.x
   Thornton PK, 2014, GLOBAL CHANGE BIOL, V20, P3313, DOI 10.1111/gcb.12581
   Valdivia C, 2010, ANN ASSOC AM GEOGR, V100, P818, DOI 10.1080/00045608.2010.500198
   Vandeveer ML, 2001, AGR ECON, V26, P173, DOI 10.1111/j.1574-0862.2001.tb00061.x
   Vinke K, 2017, REG ENVIRON CHANGE, V17, P1569, DOI 10.1007/s10113-015-0924-9
   Wang ZY, 2022, FRONT PSYCHOL, V13, DOI 10.3389/fpsyg.2022.927562
   Webster MA, 2011, J VISION, V11, DOI 10.1167/11.5.3
   Wedawatta G, 2012, DISASTER PREV MANAG, V21, P474, DOI 10.1108/09653561211256170
   WERTS CE, 1974, EDUC PSYCHOL MEAS, V34, P25, DOI 10.1177/001316447403400104
   Yang XJ, 2015, NAT HAZARDS, V76, P587, DOI 10.1007/s11069-014-1510-z
   Yasar A, 2019, DESALIN WATER TREAT, V142, P272, DOI 10.5004/dwt.2019.23433
   Yen Y, 2021, ENVIRON PLAN B-URBAN, V48, P169, DOI 10.1177/2399808319857726
   Yen Y, 2018, IRAN J PUBLIC HEALTH, V47, P357
   Yen Y, 2017, HABITAT INT, V64, P98, DOI 10.1016/j.habitatint.2017.04.009
   Zahid R. A., 2018, REV EC BUSINESS STUD, P79, DOI [10.1515/rebs-2018-0065, DOI 10.1515/REBS-2018-0065]
   Zahid RMA, 2022, J ENVIRON PUBLIC HEA, V2022, DOI 10.1155/2022/7692086
   Zahid RMA, 2022, FRONT PSYCHOL, V13, DOI 10.3389/fpsyg.2022.897444
   [张淑杰 Zhang Shujie], 2011, [干旱地区农业研究, Agricultural Research in the Arid Areas], V29, P231
   Zhao C. Y., 2009, ARID LAND RESOUR ENV, V23, P25
   Zhao PJ, 2019, ISPRS INT J GEO-INF, V8, DOI 10.3390/ijgi8100459
   Zhao WJ, 2022, POL J ENVIRON STUD, V31, P2961, DOI 10.15244/pjoes/145603
   Zhao WJ, 2022, FRONT PSYCHOL, V13, DOI 10.3389/fpsyg.2022.860321
   Zinda JA, 2021, INT J DISAST RISK RE, V64, DOI 10.1016/j.ijdrr.2021.102528
NR 139
TC 5
Z9 5
U1 7
U2 39
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
SN 1664-462X
J9 FRONT PLANT SCI
JI Front. Plant Sci.
PD AUG 25
PY 2022
VL 13
AR 990785
DI 10.3389/fpls.2022.990785
PG 15
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA 6H4DO
UT WOS:000885392700001
PM 36092446
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Estanislao, RD
   Salazar, MA
   Sigua, JA
   Chua, PL
   Dorotan, MM
AF Estanislao, Rafael Deo
   Salazar, Miguel Antonio
   Sigua, Jemar Anne
   Chua, Paul Lester
   Dorotan, Miguel Manuel
TI Collaboration and capacity for climate change and health research: An
   analysis of stakeholders in the Philippines
SO JOURNAL OF CLIMATE CHANGE AND HEALTH
LA English
DT Article
DE Philippines; climate change; health; stakeholders; collaboration;
   capacity building; health research system
AB Rationale: The Philippine government included the health impacts of climate change as a priority area for research funding. An analysis of stakeholders was done to assist the government in engaging research and government stakeholders in producing climate change and health research. Methods: Fourteen interviews and two consultation meetings were conducted from March to July 2018. Two categories of stakeholders were interviewed. The first are government entities with institutional mandates encompassing national climate change action plans, state socioeconomic plans, state bureaus for health, the environment, and scienti fic research. The second are research and professional service providers such as a scienti fic agency for climatological services, universities and their research arms, private consulting firms, and a private foundation supporting research on climate change adaptation. Results and Discussion: Stakeholders expressed that there is a need to establish the links between climate change and health in the country context, and to determine which prevalent health issues of the Philippines are climate-sensitive. While some research is conducted, priorities and agenda of stakeholders are not guided by an overall plan for the development of research on climate change and health. Technical expertise on climate change and health exists independently, but there are few perceived experts on the impacts of climate change on health. Available funding can be used to support the work of existing experts on climate science and health research and invest in building cross-disciplinary expertise. Conclusion: Deliberate capacity development is needed particularly for disease burden modeling and projections. This supports the generation of context-relevant evidence needed for health adaptation against climate change. (c) 2021 The Author(s). Published by Elsevier Masson SAS. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
C1 [Estanislao, Rafael Deo; Salazar, Miguel Antonio; Sigua, Jemar Anne; Chua, Paul Lester; Dorotan, Miguel Manuel] Alliance Improving Hlth Outcomes Inc, 62 West Ave, Quezon City 1104, Philippines.
   [Salazar, Miguel Antonio] Heidelberg Univ, Heidelberg Inst Global Hlth, Neuenheimer Feld 324, D-69120 Heidelberg, Germany.
   [Chua, Paul Lester] Univ Tokyo, Grad Sch Med, Dept Global Hlth Policy, 7-3-1 Hongo,Bunkyo Ku, Tokyo 1130033, Japan.
C3 Ruprecht Karls University Heidelberg; University of Tokyo
RP Estanislao, RD (corresponding author), Alliance Improving Hlth Outcomes Inc, 62 West Ave, Quezon City 1104, Philippines.
EM deoestanislao@gmail.com
RI Chua, Paul/ACE-2893-2022; Salazar, Miguel/G-7269-2015
OI Salazar, Miguel Antonio/0000-0003-1129-6508
FU Philippine Council for Health Research and Development; German Academic
   Exchange Service
FX This study was funded by the Philippine Council for Health Research and
   Development. Some additional support was provided by the German Academic
   Exchange Service. We would like to thank all the interview respondents
   and the participants of both consulta- tions for providing meaningful
   critique and recommendations. We would also like to thank the Ateneo
   School of Medicine and Public Health for their assistance with the
   documentation of the consulta- tions.
CR [Anonymous], 2015, Climate Change and Health in the Western Pacific Region: Synthesis of evidence, profiles of selected countries and policy direction
   [Anonymous], 2017, National Unified Health Research Agenda 2017-2022
   Asia Pacific Network for Global Change Research, 2021, Southeast Asia regional climate downscaling project (SEACLID)
   Banwell N, 2021, REG ENVIRON CHANGE, V21, DOI 10.1007/s10113-021-01817-8
   Beggs PJ, 2019, MED J AUSTRALIA, V211, DOI 10.5694/mja2.50405
   Braun V, 2021, QUAL RES PSYCHOL, V18, P328, DOI 10.1080/14780887.2020.1769238
   Bromham L, 2016, NATURE, V534, P684, DOI 10.1038/nature18315
   Cash-Gibson L, 2015, HEALTH RES POLICY SY, V13, DOI 10.1186/s12961-015-0048-1
   Conlon KC, 2016, INT J ENV RES PUB HE, V13, DOI 10.3390/ijerph13080804
   Cruz RV, 2017, Philippine climate change assessment: impacts, vulnerabilities and adaptation, V2
   Dany V, 2015, CLIM POLICY, V15, P388, DOI 10.1080/14693062.2014.937385
   De Veyra CM, 2019, Acta Med Philipp, V53, DOI [10.47895/amp.v53i3.142, DOI 10.47895/AMP.V53I3.142]
   Department of Science and Technology, 2021, 21 in 2021
   Ebi KL, 2017, ENVIRON HEALTH PERSP, V125, DOI [10.1289/EHP405, 10.1289/ehp405]
   Franzen SRP, 2017, BMJ OPEN, V7, DOI 10.1136/bmjopen-2016-012332
   Gilfillan D, 2017, ECOL SOC, V22, DOI 10.5751/ES-09235-220314
   Green D, 2017, NAT CLIM CHANGE, V7, P103, DOI [10.1038/NCLIMATE3182, 10.1038/nclimate3182]
   Guinto RR, 2021, LANCET PLANET HEALTH, V5, pE396, DOI 10.1016/S2542-5196(21)00140-6
   Huang CR, 2011, AM J PREV MED, V40, P183, DOI 10.1016/j.amepre.2010.10.025
   Korstjens I, 2017, EUR J GEN PRACT, V24, P120, DOI 10.1080/13814788.2017.1375092
   Lansang MA, 2004, B WORLD HEALTH ORGAN, V82, P764
   Chua PL, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16142624
   Lopez JCF, 2019, Acta Med Philipp, V53, DOI [10.47895/amp.v53i3.151, DOI 10.47895/AMP.V53I3.151]
   McMichael AJ, 2013, INT J ENV RES PUB HE, V10, P6096, DOI 10.3390/ijerph10116096
   Muriithi P, 2018, RES POLICY, V47, P88, DOI 10.1016/j.respol.2017.10.002
   Philippine Council for Health Research and Development, 2021, Health research in the time of a pandemic: annual report 2020
   Philippine Genome Center, 2021, PGC's mandates
   Promentilla MA, 2019, Systems thinking approach to research for
   Reidpath DD, 2019, BMJ GLOB HEALTH, V4, DOI 10.1136/bmjgh-2019-001719
   Rocklöv J, 2014, GLOBAL HEALTH ACTION, V7, P1, DOI 10.3402/gha.v7.26552
   Romanello M, 2021, LANCET, V398, P1619, DOI [10.1016/S0140-6736(21)01787-6, 10.1016/S0140-6736(23)01859-7]
   Schiller C, 2013, BMC PUBLIC HEALTH, V13, DOI 10.1186/1471-2458-13-428
   Loenhout JAF, 2016, INT J ENV RES PUB HE, V13, DOI 10.3390/ijerph13111120
   Varshney D, 2016, HEALTH RES POLICY SY, V14, DOI 10.1186/s12961-016-0132-1
   Vincent C, 2011, BMJ QUAL SAF, V20, pI73, DOI 10.1136/bmjqs.2010.047985
   Watts N, 2018, LANCET, V392, P2479, DOI 10.1016/S0140-6736(18)32594-7
NR 36
TC 0
Z9 0
U1 1
U2 1
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
EI 2667-2782
J9 J CLIM CHANGE HEALTH
JI J. Clim. Chang. Health
PD MAY
PY 2022
VL 6
AR 100107
DI 10.1016/j.joclim.2021.100107
PG 6
WC Environmental Sciences; Public, Environmental & Occupational Health
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health
GA YE8M3
UT WOS:001266900400008
OA gold
DA 2025-01-10
ER

PT J
AU Tran, VT
   An-Vo, DA
   Mushtaq, S
   Cockfield, G
AF Tran, Van Thanh
   An-Vo, Duc-Anh
   Mushtaq, Shahbaz
   Cockfield, Geoff
TI Nuanced assessment of livelihood resilience through the intersectional
   lens of gender and ethnicity: Evidence from small-scale farming
   communities in the upland regions of Vietnam
SO JOURNAL OF RURAL STUDIES
LA English
DT Article
DE Household livelihood resilience; Subjective resilience; Intersectional
   lens of gender and ethnicity
ID CLIMATE-CHANGE ADAPTATION; ADAPTIVE CAPACITY; SOCIAL-RESPONSIBILITY;
   NORTHWEST REGION; MINORITIES; STRATEGIES; PERCEPTIONS; INEQUALITY;
   FARMERS; POVERTY
AB International humanitarian and development organizations are increasingly placing emphasis on resilience building; however, there is not always full consideration of differences in perspectives and outcomes by ethnicity and gender. Based on empirical evidence from ethnic minorities in the Northwest Mountainous Regions (NMRs) of Vietnam, the current work illustrates how perceptions of livelihood resilience in the context of climate change differ between gender and ethnic groups, especially considering the intersections of those factors. To achieve a nuanced analysis, we examined if and how demographic factors differentially associate with the perception of household livelihood resilience. The household livelihood capital scores from 240 household interviews were derived using the Household Livelihood Resilience Approach (HLRA). HLRA measures the subjective resilience at household level using surveys as opposed to the conventional objective approaches using only observable socioeconomic variables and data. We found that ethnicity has a relatively more substantial role than gender in determining the household livelihood capitals supporting livelihood resilience in the study region, but within that, there are also gender differences. Among different ethnic groups, having a wage-paying job, education, agricultural training, social membership, access to road and irrigation systems, and crop diversity are the main factors contributing to better household livelihood capital scores. Women reported generally lower resilience scores than men did but the average scores varied significantly across four ethnic groups. Based on the evidence from the lens of demographic characteristics, we concluded that resilience-building programs should not only draw on objective resilience measurements but also consider varied self-assessments to reflect the fact that communities are heterogeneous. This could help to ensure greater inclusivity to alleviate poverty and increase livelihood resilience in a developing multi-ethnic country like Vietnam.
C1 [Tran, Van Thanh; An-Vo, Duc-Anh; Mushtaq, Shahbaz] Univ Southern Queensland, Ctr Appl Climate Sci, Toowoomba, Qld 4350, Australia.
   [Tran, Van Thanh] Vietnam Natl Univ Agr VNUA, Fac Nat Resources & Environm, Hanoi, Vietnam.
   [Cockfield, Geoff] Univ Southern Queensland, Ctr Sustainable Agr Syst, Toowoomba, Qld 4350, Australia.
C3 University of Southern Queensland; Vietnam National University of
   Agriculture (VNUA); University of Southern Queensland
RP Tran, VT (corresponding author), Univ Southern Queensland, Ctr Appl Climate Sci, Toowoomba, Qld 4350, Australia.
EM vanthanh.tran@usq.edu.au
RI Tran, Thao/A-5591-2011; An-Vo, Duc-Anh/JGD-1094-2023
OI An-Vo, Duc-Anh/0000-0001-7528-7139
FU USQ-VIED PhD scholarship from the Vietnamese Government; University of
   Southern Queensland (USQ); German Federal Ministry for the Environ-ment,
   Nature Conservation, Building and Nuclear Safety (BMU)
FX This research was funded by a USQ-VIED PhD scholarship from the
   Vietnamese Government and the University of Southern Queensland (USQ)
   extended to the first author. We also gratefully acknowledge the funding
   received from the German Federal Ministry for the Environ-ment, Nature
   Conservation, Building and Nuclear Safety (BMU) .
CR Adger WN, 2011, WIRES CLIM CHANGE, V2, P757, DOI 10.1002/wcc.133
   Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Alston M, 2014, WOMEN STUD INT FORUM, V47, P287, DOI 10.1016/j.wsif.2013.01.016
   [Anonymous], 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   [Anonymous], 2016, DRYLAND FORESTS
   Aregu Lemlem, 2016, Ambio, V45, P287
   Arora-Jonsson S, 2011, GLOBAL ENVIRON CHANG, V21, P744, DOI 10.1016/j.gloenvcha.2011.01.005
   ASHOK KM, 2017, INT J CLIM CHANG STR, V9, P501
   Avriel-Avni N, 2019, ADV ECOL RES, V60, P153, DOI 10.1016/bs.aecr.2019.03.001
   Béné C, 2016, GLOBAL ENVIRON CHANG, V38, P153, DOI 10.1016/j.gloenvcha.2016.03.005
   Boserup Ester., 2013, Woman's role in economic development
   Brown K, 2014, PROG HUM GEOG, V38, P107, DOI [10.1177/0309132513498837, 10.1177/0361684313496549]
   Brown K, 2011, ANNU REV ENV RESOUR, V36, P321, DOI 10.1146/annurev-environ-052610-092905
   Carney D., 1998, SUSTAINABLE RURAL LI, P3
   Carr ER, 2014, GEOGR COMPASS, V8, P182, DOI 10.1111/gec3.12121
   Chambers R., 1992, Discussion Paper - Institute of Development Studies, University of Sussex
   Constas M., 2014, FOOD SECURITY INFORM, V2
   Cox M, 2010, ECOL SOC, V15
   Cumming GS, 2011, SPATIAL RESILIENCE IN SOCIAL-ECOLOGICAL SYSTEMS, P1, DOI 10.1007/978-94-007-0307-0
   Nguyen CV, 2017, SOC INDIC RES, V134, P93, DOI 10.1007/s11205-016-1413-3
   Delisle S, 2016, ASIA PAC VIEWP, V57, P351, DOI 10.1111/apv.12131
   Deressa T. T., 2009, Global Environmental Change, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Dien Khong., 2002, POPULATION ETHNO DEM
   Djoudi H, 2016, AMBIO, V45, pS248, DOI 10.1007/s13280-016-0825-2
   An-Vo DA, 2021, CLIM SERV, V22, DOI 10.1016/j.cliser.2021.100234
   An-Vo DA, 2019, RANGELAND J, V41, P165, DOI 10.1071/RJ18004
   An-Vo DA, 2019, EUR J AGRON, V104, P37, DOI 10.1016/j.eja.2019.01.005
   Erenstein O., 2007, Livelihoods, poverty and targeting in the Indo-Gangetic Plains: a spatial mapping approach, A CIMMYT and RWC Research Report
   Eriksen SH, 2005, GEOGR J, V171, P287, DOI 10.1111/j.1475-4959.2005.00174.x
   Everard M, 2020, CURR OPIN ENV SUST, V44, P16, DOI 10.1016/j.cosust.2020.03.004
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Gabriel AG, 2020, COGENT SOC SCI, V6, DOI 10.1080/23311886.2020.1720564
   Ha TM, 2017, AGR SYST, V150, P12, DOI 10.1016/j.agsy.2016.09.008
   Hahn MB, 2009, GLOBAL ENVIRON CHANG, V19, P74, DOI 10.1016/j.gloenvcha.2008.11.002
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Imai KS, 2011, INT REV APPL ECON, V25, P249, DOI 10.1080/02692171.2010.483471
   Jones L., 2015, 423 OV DEV I WORK, V23
   Klasen S, 2015, WORLD DEV, V71, P36, DOI 10.1016/j.worlddev.2013.11.003
   Kristjanson P, 2017, INT J AGR SUSTAIN, V15, P482, DOI 10.1080/14735903.2017.1336411
   Sen LTH, 2020, NJAS-WAGEN J LIFE SC, V92, DOI 10.1016/j.njas.2020.100324
   Lebel L, 2006, ECOL SOC, V11
   Lebel Louis., 2014, International Social Science Journal, V65, P147, DOI [10.1111/issj.12090, DOI 10.1111/ISSJ.12090]
   Phan LT, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11051257
   Maharjan K.L., 2013, Climate Change, Agriculture and Rural Livelihoods in Developing Countries, DOI DOI 10.1007/978-4-431-54343-5_9
   Masson L., 2016, BUILDING RESILIENCE
   Mullins A, 2013, DISASTER PREV MANAG, V22, P119, DOI 10.1108/09653561311325271
   Mushtaq S, 2020, CLIMATIC CHANGE, V161, P465, DOI 10.1007/s10584-020-02679-5
   Mushtaq S, 2018, CLIM RISK MANAG, V19, P48, DOI 10.1016/j.crm.2017.12.001
   Ndamani F, 2016, SCI AGR, V73, P201
   Nelson R, 2010, ENVIRON SCI POLICY, V13, P8, DOI 10.1016/j.envsci.2009.09.006
   Nelson V., 2009, Gender and Development, V17, P81, DOI 10.1080/13552070802696946
   Pham NTT, 2021, SCI TOTAL ENVIRON, V759, DOI 10.1016/j.scitotenv.2020.142656
   Pham NTT, 2019, J ENVIRON MANAGE, V252, DOI 10.1016/j.jenvman.2019.109672
   Nguyen TTX, 2016, SUSTAIN SCI, V11, P645, DOI 10.1007/s11625-015-0336-2
   Huong NTL, 2017, INT J CLIM CHANG STR, V9, P555, DOI [10.1108/IJCCSM-02-2017-0032, 10.1108/ijccsm-02-2017-0032]
   Nielsen JO, 2010, GLOBAL ENVIRON CHANG, V20, P142, DOI 10.1016/j.gloenvcha.2009.10.002
   Nong HTT, 2020, INT J SOC ECON, V47, P953, DOI 10.1108/IJSE-09-2019-0534
   Obrist B, 2010, PROG DEV STUD, V10, P283, DOI 10.1177/146499340901000402
   Peterman Amber., 2014, GENDER AGR FOOD SECU, P145, DOI [DOI 10.1007/978-94-017-8616-47, DOI 10.1007/978-94-017-8616-4_7]
   Quandt A, 2018, WORLD DEV, V107, P253, DOI 10.1016/j.worlddev.2018.02.024
   QUYET TV, 2015, Q REV ECON FINANC, V56, P15
   Roberts CP, 2019, ECOL INDIC, V107, DOI 10.1016/j.ecolind.2019.105552
   Rocheleau Dianne., 1996, FEMINIST POLITICAL E
   Sarker MNI, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2020.104599
   Scott James C, 2020, SEEING STATE CERTAIN
   Slovin E., 1960, SOLVINS FORMULA SAMP
   Soetanto R, 2017, NAT HAZARDS, V86, P1105, DOI 10.1007/s11069-016-2732-z
   Son H, 2020, ASIAN GEOGR, V37, P33, DOI 10.1080/10225706.2019.1701507
   Tanner T., 2014, NAT
   Thoai TQ, 2018, LAND USE POLICY, V70, P224, DOI 10.1016/j.landusepol.2017.10.023
   Thompson-Hall M, 2016, AMBIO, V45, pS373, DOI 10.1007/s13280-016-0827-0
   Thulstrup AW, 2015, WORLD DEV, V74, P352, DOI 10.1016/j.worlddev.2015.05.019
   Tuyen TQ, 2016, ENVIRON DEV SUSTAIN, V18, P1239, DOI 10.1007/s10668-015-9700-8
   Anh TT, 2014, INT J DISAST RISK RE, V10, P201, DOI 10.1016/j.ijdrr.2014.09.012
   Tran V.T., SUSTAINABILITY-BASEL, V13, P7106
   Trendov N. M  ..., 2019, Digital Technologies in Agriculture and Rural Areas: Status Report
   Trung P.T., 2013, International Journal of Development and Sustainability, V2, P52
   Tschakert P, 2012, ETHICS SOC WELF, V6, P275, DOI 10.1080/17496535.2012.704929
   Tran TQ, 2015, ECON RES-EKON ISTRAZ, V28, P703, DOI 10.1080/1331677X.2015.1087872
   Tran TQ, 2015, POST-COMMUNIST ECON, V27, P268, DOI 10.1080/14631377.2015.1026716
   Vien T.D., 2003, S ASIAN STUD-UK, V41, P180
   Walker B., 2006, ECOL SOC, V11, P256
   Walsh-Dilley M, 2016, ECOL SOC, V21, DOI 10.5751/ES-07981-210111
   Wolf J, 2010, GLOBAL ENVIRON CHANG, V20, P44, DOI 10.1016/j.gloenvcha.2009.09.004
   Nguyen YTB, 2021, ENVIRON SCI POLICY, V123, P11, DOI 10.1016/j.envsci.2021.04.007
NR 86
TC 20
Z9 20
U1 10
U2 47
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0743-0167
EI 1873-1392
J9 J RURAL STUD
JI J. Rural Stud.
PD MAY
PY 2022
VL 92
BP 68
EP 78
DI 10.1016/j.jrurstud.2022.03.011
EA MAR 2022
PG 11
WC Geography; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Geography; Public Administration
GA 1C8JZ
UT WOS:000793360600007
DA 2025-01-10
ER

PT J
AU Abdulateef, MF
   Al-Alwan, HAS
AF Abdulateef, Maryam F.
   Al-Alwan, Hoda A. S.
TI The effectiveness of urban green infrastructure in reducing surface
   urban heat island
SO AIN SHAMS ENGINEERING JOURNAL
LA English
DT Article
DE Urban green infrastructure; Urban heat island; Simulation; Risafa;
   Surface temperature
ID CLIMATE-CHANGE; ENVI-MET; MICROCLIMATE; TEMPERATURE; COMFORT; BAGHDAD;
   CANYON; IMPACT; COOL
AB In the era of the devastating impacts of climate change, many cities around the world make strenuous efforts to find suitable and sustainable adaptation strategies to address the climatic dangers. In the past decades, Baghdad city witnessed an increase in the intensity of surface urban heat island (SUHI) as a result of the change in land cover and population density. By reviewing the related literature, it was found that many studies discussed SUHI intensity and causes, yet there is limited knowledge concerning the adaptation to such a phenomenon. In general, urban green infrastructure (UGI) represents a vital sustainable strategy that can achieve climate change 'adaptation and mitigation' simultaneously. Accordingly, the purpose of this study is to assess the effectiveness of UGI in reducing SUHI in Baghdad city. Risafa municipality was selected as a case study, as it suffers from a high level of SUHI risk. Using a computer climatic simulation program; ENVI-met, the temperature of different surfaces in the study area was assessed, and two typical models were selected. Surface temperature (Ts) of different points in these two models was measured according to the base case scenario and to three proposed scenarios of UGI. The results show that UGI has an apparent role in declining Ts in both models. It was also found that the cooling effects of injecting UGI scenarios in similar surfaces of the two models are convergent. This confirms the UGI great effectiveness in reducing SUHI in Baghdad City. It is also found that the effectiveness of UGI in cooling the existing surfaces depends on the original condition of the surfaces and the intensity and types of the injected UGI assets. (C) 2021 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Ain Shams University.
C1 [Abdulateef, Maryam F.; Al-Alwan, Hoda A. S.] Univ Baghdad, Coll Engn, Dept Architectural Engn, Baghdad, Iraq.
C3 University of Baghdad
RP Abdulateef, MF (corresponding author), Univ Baghdad, Coll Engn, Dept Architectural Engn, Baghdad, Iraq.
EM m.abdulatif1204@coeng.uobaghdad.edu.iq;
   hoda-alwan@coeng.uobaghdad.edu.iq
RI Al-Alwan, Hoda/HSI-4195-2023
CR Abdel Rahim B, 2020, BAGHDAD MODEL
   Abdulateef MF, 2020, IOP C SERIES MAT SCI
   Abdulateef MF, 2014, PLANNING DESIGN FDN
   Abdulateef MF, 2021, IOP C SER MAT SCI EN, V1067, P1
   AbdulRaheem MF, 2011, FUTURE VISION DEV GR
   Adelia AS, 2020, TOOL COMP URBAN MICR
   Ahmed N, 2020, AIN SHAMS ENG J
   Akbari H, 2016, ENERG BUILDINGS, V133, P834, DOI 10.1016/j.enbuild.2016.09.067
   Al-Lami AM., 2015, DIYALA J PURE SCI, V11, P82
   Al-Maelf SHI, 2017, IMPACT CHANGING URBA
   Al-Saaidy HJE, 2021, AIN SHAMS ENG J, V12, P1111, DOI 10.1016/j.asej.2020.06.008
   Al-Saaidy HJE, AIN SHAMS ENG J, V2021
   Alami Khatib., 2008, COMPREHENSIVE DEV PL
   Albayati AH, 2012, ROLE PLANTING TREES
   Ali JM, 2017, SUSTAIN CITIES SOC, V29, P159, DOI 10.1016/j.scs.2016.12.010
   Alobaydi D, 2016, PROCEDIA ENGINEER, V145, P820, DOI 10.1016/j.proeng.2016.04.107
   [Anonymous], 2007, CITIES FUTURE INTEGR
   [Anonymous], 2015, INT J ENV MONITOR AN
   Barros VR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1133
   Bek MA, 2018, AIN SHAMS ENG J, V9, P3169, DOI 10.1016/j.asej.2017.11.001
   Berthold J., 2013, EXAMINING ECOCITY DE
   Bourbia F, 2004, RENEW ENERG, V29, P249, DOI 10.1016/S0960-1481(03)00170-8
   Bruse D, 2017, ENVIMET DECODING URB
   Bruse Michael., 2004, ENVI MET 30 UPDATED
   Chatzidimitriou A, 2017, PROCEDIA ENVIRON SCI, V38, P643, DOI 10.1016/j.proenv.2017.03.144
   CLIMATE-DATA, 2020, BAGHD CLIM IR
   Defra and Natural England, GREEN INFRASTRUCTURE
   Demuzere M, 2014, J ENVIRON MANAGE, V146, P107, DOI 10.1016/j.jenvman.2014.07.025
   Doswald N., 2011, BfN - Skripten (Bundesamt fur Naturschutz)
   Downing T.E., 2004, Adaptation Policy Frameworks for Climate Change: Developing Strategies, Policies, and Measures
   Egerhazi L.A., 2014, ACTA CLIMATOL CHOROL, V47, P33
   Elbers J, 2011, XPLORING URBAN HEAT
   Elnabawi MH, 2013, BUILDING SIMULATION 2013: 13TH INTERNATIONAL CONFERENCE OF THE INTERNATIONAL BUILDING PERFORMANCE SIMULATION ASSOCIATION, P2800
   ENVI-MET, 2020, FREQ ASK QUEST
   EPA, 2013, REDUCING URBAN HEAT
   Fabrizi R, 2011, C JURSE MUN
   Fritz M, 2017, THEOR PRACT URB SUST, P15, DOI 10.1007/978-3-319-56091-5_2
   Giguere M., 2009, Literature review of Urban Heat Island mitigation strategies
   Gussona CS, 2016, 4 INT C COUNT URB HE
   Hadi FA, 2012, IRAQI J SCI, P10006
   Ibrahim Y, 2020, 35 PLEA C PLANN POST
   Jamei Elmira, 2017, International Journal of Sustainable Built Environment, V6, P389, DOI 10.1016/j.ijsbe.2017.07.001
   Jihad A.S., 2016, ARPN J Eng Appl Sci, V11, P3059
   Kaloustian N, 2016, PROCEDIA ENGINEER, V169, P72, DOI 10.1016/j.proeng.2016.10.009
   Khatib Alami, 2014, COMPREHENSIVE DEV PL
   Khatib Alami, 2008, BAGHDAD COMPREHENSIV
   Kolokotroni M, 2006, SOL ENERGY, V80, P383, DOI 10.1016/j.solener.2005.03.010
   Landsberg H. E., 1981, The urban climate
   Luber G, 2008, AM J PREV MED, V35, P429, DOI 10.1016/j.amepre.2008.08.021
   Mimura N., 2006, GLOBAL ENV STUDIES, V11, P103
   Mohammed Y, 2018, EDP SCI MATEC WEB C, V162
   Neila Gonzalez F.J., 2017, Sustain. Dev. Renov. Archit. Urban. Eng., P339, DOI [10.1007/978-3-319-51442-028, DOI 10.1007/978-3-319-51442-028, DOI 10.1007/978-3-319-51442-0_28]
   Oke T. R., 1976, Atmosphere, V14, P268, DOI [10.1080/00046973.1976.9648422, DOI 10.1080/00046973.1976.9648422, https://doi.org/10.1080/00046973.1976.9648422]
   Pachauri RK, 2014, 2014 IEEE STUDENTS' CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER SCIENCE (SCEECS)
   Peron F, 2015, SUSTAIN CITIES SOC, V19, P300, DOI 10.1016/j.scs.2015.05.008
   Rehan Reeman Mohammed, 2016, HBRC Journal, V12, P191, DOI 10.1016/j.hbrcj.2014.10.002
   Ren GY, 2015, ADV CLIM CHANG RES, V6, P1, DOI 10.1016/j.accre.2015.08.003
   Rose L, 2007, INT C SUST BUILD AS, P215
   Rouse DavidC., 2013, Green Infrastructure: A Landscape Approach
   Shabahang S, 2021, ENERG BUILDINGS
   Shahin BR, 1989, ARCHITECTURE CLIMATE
   Shishegar Nastaran, 2013, Journal of Clean Energy Technologies, V1, P52, DOI 10.7763/JOCET.2013.V1.13
   Simon H, 2018, LANDSCAPE URBAN PLAN, V174, P33, DOI 10.1016/j.landurbplan.2018.03.003
   Taleb D, 2013, RENEW ENERG, V50, P747, DOI 10.1016/j.renene.2012.07.030
   Tsoka S, 2018, SUSTAIN CITIES SOC, V43, P55, DOI 10.1016/j.scs.2018.08.009
   UNFCCC, 2019, Climate Action Support Trends: Based on national reports submitted to the UNFCCC secretariat under the current reporting framework
   US D.O.E. US EPA, 2012, COMBINED HEAT POWER
   Vidmar J., 2013, ENV PHYS ARCH
   Wei RH, 2016, PROCEDIA ENGINEER, V169, P142, DOI 10.1016/j.proeng.2016.10.017
   WMG, 2017, GREEN INFRASTRUCTURE
   Zakhour S., 2015, J. Civil Eng. Architect. Res, V2, P862
   Zinzi M, 2012, ENERG BUILDINGS, V55, P66, DOI 10.1016/j.enbuild.2011.09.024
NR 72
TC 45
Z9 45
U1 12
U2 40
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2090-4479
EI 2090-4495
J9 AIN SHAMS ENG J
JI Ain Shams Eng. J.
PD JAN
PY 2022
VL 13
IS 1
AR 101526
DI 10.1016/j.asej.2021.06.012
PG 18
WC Engineering, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering
GA 0H6CJ
UT WOS:000778819500004
OA gold
DA 2025-01-10
ER

PT J
AU Yang, X
   Guo, SL
   Deng, X
   Xu, DD
AF Yang, Xue
   Guo, Shili
   Deng, Xin
   Xu, Dingde
TI Livelihood Adaptation of Rural Households under Livelihood Stress:
   Evidence from Sichuan Province, China
SO AGRICULTURE-BASEL
LA English
DT Article
DE livelihood pressure; livelihood adaptability; livelihood strategies;
   earthquake disaster areas; Sichuan
ID CLIMATE-CHANGE ADAPTATION; DISASTER-PREPAREDNESS; RISK PERCEPTION; LAND
   TRANSFER; SUSTAINABLE LIVELIHOOD; POVERTY VULNERABILITY; COMMUNITY
   RESILIENCE; FOOD PRODUCTIVITY; MOUNTAINOUS AREAS; FARM HOUSEHOLDS
AB The welfare of many poor and low-income rural households is vulnerable to earthquakes and secondary geological disasters. The academic literature, however, pays little attention to the livelihood pressure, adaptability, and livelihood strategies of these households. Based on the survey data of 327 rural households in the Wenchuan and Lushan earthquake-stricken areas in the Sichuan Province, the livelihood pressure, adaptability, and livelihood strategy characteristics of rural households were analyzed, and the disordered multi-classification logistic regression model was constructed to explore the correlation between the above-mentioned variables. The results show that: (1) Rural households face the greatest economic pressure and the least social pressure; rural households have the strongest adaptability in social capital and the lowest adaptability in financial capital. The proportion of rural households that chose the aid livelihood strategy was the highest, while the proportion of rural households that chose the adjustment livelihood strategy was the lowest. (2) Compared with the expanded livelihood strategy, (a) When the health pressure is higher, the rural households are more inclined to choose the expanded livelihood strategy, followed by the contractive livelihood strategy and, finally, the aid livelihood strategies; (b), the higher the physical capital, the more often the rural households tend to choose the expanded livelihood strategy compared to the adjustment livelihood strategy; (c), The higher the financial capital of farm households, the more they prefer contractive livelihood strategies compared to the expanded livelihood strategy and (d), compared with the aid livelihood strategy, rural households with greater economic pressure are more inclined to choose the expanded livelihood strategy.This study can provide a reference for the establishment of relevant policies related to the adaptation capacity of rural households in the earthquake hazard zone.
C1 [Yang, Xue; Xu, Dingde] Sichuan Agr Univ, Coll Management, Chengdu 611130, Peoples R China.
   [Guo, Shili] SouthWestern Univ Finance & Econ, China Western Econ Res Ctr, Chengdu 610074, Peoples R China.
   [Deng, Xin] Sichuan Agr Univ, Coll Econ, Chengdu 611130, Peoples R China.
   [Xu, Dingde] Sichuan Agr Univ, Coll Management, Sichuan Ctr Rural Dev Res, Chengdu, Peoples R China.
C3 Sichuan Agricultural University; Southwestern University of Finance &
   Economics - China; Sichuan Agricultural University; Sichuan Agricultural
   University
RP Xu, DD (corresponding author), Sichuan Agr Univ, Coll Management, Chengdu 611130, Peoples R China.; Xu, DD (corresponding author), Sichuan Agr Univ, Coll Management, Sichuan Ctr Rural Dev Res, Chengdu, Peoples R China.
EM yangxue@stu.sicau.edu.cn; guoshili@swufe.edu.cn; dengxin@sicau.edu.cn;
   dingdexu@sicau.edu.cn
RI Deng, Xin/AAU-5244-2020; Xu, Dingde/A-2084-2013
OI Xu, Dingde/0000-0001-6359-6540; Deng, Xin/0000-0002-0009-3708
FU National Natural Science Foundation of China [41801221]; Special Program
   for Cultivating Excellent Young Talents under the Dual Support Plan of
   Sichuan Agricultural University, Undergraduate research interest
   cultivation program in 2021 of Sichuan agricultural university [2021489,
   2021488]; Fundamental Re-search Funds for the Central Universities
   [JBK2102018]
FX We gratefully acknowledge the financial support from the National
   Natural Science Foundation of China (41801221), Special Program for
   Cultivating Excellent Young Talents under the Dual Support Plan of
   Sichuan Agricultural University, Undergraduate research interest
   cultivation program in 2021 of Sichuan agricultural university (2021489;
   2021488), and Fundamental Re-search Funds for the Central Universities
   (JBK2102018).
CR Abid M, 2016, J RURAL STUD, V47, P254, DOI 10.1016/j.jrurstud.2016.08.005
   Ali S, 2021, AGRONOMY-BASEL, V11, DOI 10.3390/agronomy11030600
   Almeida RK, 2010, WORLD DEV, V38, P742, DOI 10.1016/j.worlddev.2009.11.018
   [Anonymous], 2019, CLIM DEV, DOI DOI 10.1080/17565529.2018.1442808
   Archer DR, 2018, J FLOOD RISK MANAG, V11, pS121, DOI 10.1111/jfr3.12187
   Arnbjerg-Nielsen K, 2013, WATER SCI TECHNOL, V68, P16, DOI 10.2166/wst.2013.251
   Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
   Bhandari PB, 2013, J RURAL STUD, V32, P126, DOI 10.1016/j.jrurstud.2013.05.001
   Bunch MJ, 2020, ECOL SOC, V25, DOI 10.5751/ES-11450-250212
   Cao MT, 2016, APPL GEOGR, V66, P144, DOI 10.1016/j.apgeog.2015.11.016
   Chadalavada K, 2021, PLANTA, V253, DOI 10.1007/s00425-021-03631-2
   Chen J, 2018, ECOL INDIC, V93, P411, DOI 10.1016/j.ecolind.2018.05.017
   Choudhury MUI, 2021, INT J DISAST RISK RE, V55, DOI 10.1016/j.ijdrr.2021.102063
   Cooper SJ, 2017, REG ENVIRON CHANGE, V17, P649, DOI 10.1007/s10113-016-1049-5
   Deng S.Y., 2010, PROBLEM PHILANTHROPI
   Deng X, 2020, LAND-BASEL, V9, DOI 10.3390/land9100360
   Deng X, 2020, CHINA AGR ECON REV, V12, P673, DOI 10.1108/CAER-12-2018-0236
   Deng X, 2019, LAND USE POLICY, V89, DOI 10.1016/j.landusepol.2019.104243
   Deng X, 2019, LAND USE POLICY, V81, P58, DOI 10.1016/j.landusepol.2018.10.042
   Doyle EEH, 2018, INT J DISAST RISK RE, V31, P637, DOI 10.1016/j.ijdrr.2018.07.008
   Ellwood D T, 1990, Health Care Financ Rev, VSpec No, P119
   Fadhel S, 2018, J HYDROL, V560, P546, DOI 10.1016/j.jhydrol.2018.03.041
   Fan X.S., 2017, EC FABR, V35, P29
   Godde C, 2019, GLOBAL CHANGE BIOL, V25, P3091, DOI 10.1111/gcb.14669
   Gomez MLA, 2020, INT J DISAST RISK RE, V45, DOI 10.1016/j.ijdrr.2019.101439
   Guo SL, 2019, J MT SCI-ENGL, V16, P2484, DOI 10.1007/s11629-018-5017-z
   Guo SL, 2019, SUSTAIN DEV, V27, P725, DOI 10.1002/sd.1937
   Gwiriri LC, 2021, LAND-BASEL, V10, DOI 10.3390/land10020226
   Hoffmann R, 2017, WORLD DEV, V96, P32, DOI 10.1016/j.worlddev.2017.02.016
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Huang LR, 2021, J BASIC MICROB, V61, P339, DOI 10.1002/jobm.202100012
   Huang X.X, 2016, RESOUR ENV ARID AREA, V30, P19
   IDS, 2007, IDS FOCUS ISSUE, V2, P6
   Intergovernmental Panel on Climate Change (IPCC), 2001, CLIMATE CHANGE 2001, DOI [10.1002/joc.775, DOI 10.1002/JOC.775]
   Islam A, 2012, J DEV ECON, V97, P232, DOI 10.1016/j.jdeveco.2011.05.003
   Jezeer RE, 2019, J ENVIRON MANAGE, V242, P496, DOI 10.1016/j.jenvman.2019.04.101
   Khan I, 2023, EVOL INTELL, V16, P229, DOI 10.1007/s12065-021-00651-5
   Khanal U, 2018, CLIMATIC CHANGE, V148, P575, DOI 10.1007/s10584-018-2214-2
   Kinsella J, 2000, SOCIOL RURALIS, V40, P481, DOI 10.1111/1467-9523.00162
   Kuang FY, 2020, J ENVIRON MANAGE, V264, DOI 10.1016/j.jenvman.2020.110463
   Kuang FY, 2019, LAND USE POLICY, V89, DOI 10.1016/j.landusepol.2019.104228
   LE DE L, 2018, NAT HAZARDS, V91, P1203, DOI DOI 10.1007/S11069-018-3174-6
   Lei YD, 2014, NAT HAZARDS, V70, P609, DOI 10.1007/s11069-013-0831-7
   Li H.C., 2017, Pearl River, V38, P29
   Lie F.Y, 2020, AGR RESOUR REGI, V41, P289
   Lindell MK, 2016, DISASTERS, V40, P85, DOI 10.1111/disa.12133
   Liu H.Y, 2011, SOC SCI RES, V2, P27
   Liu ZF, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030875
   Lo AY, 2015, NAT HAZARDS, V78, P1979, DOI 10.1007/s11069-015-1815-6
   Loison SA, 2019, J RURAL STUD, V69, P156, DOI 10.1016/j.jrurstud.2019.03.001
   Ma ZX, 2021, NAT HAZARDS, V108, P567, DOI 10.1007/s11069-021-04695-9
   Mabon L, 2021, SUSTAIN SCI, V16, P221, DOI 10.1007/s11625-020-00861-3
   Mahmood N, 2020, ENVIRON SCI POLLUT R, V27, P34453, DOI 10.1007/s11356-020-09673-5
   Mbanze AA, 2020, LAND USE POLICY, V99, DOI 10.1016/j.landusepol.2020.105056
   National Bureau of Statistics, 2019, POP AG STRUCT CHIN
   Nembilwi N, 2021, CLIMATE, V9, DOI 10.3390/cli9040061
   Nguyen MH, 2021, J ASIAN AFR STUD, V56, P1879, DOI 10.1177/0021909621993499
   Nsubuga FNW, 2021, ENVIRON DEV SUSTAIN, V23, P9223, DOI 10.1007/s10668-020-01020-5
   Ashikin AN, 2021, LAND-BASEL, V10, DOI 10.3390/land10020198
   Pandey R, 2017, ECOL INDIC, V79, P338, DOI 10.1016/j.ecolind.2017.03.047
   Paragbhai DP, 2019, INDIAN J ECON DEV, V15, P351, DOI 10.5958/2322-0430.2019.00045.3
   Paul A, 2019, J ENVIRON MANAGE, V251, DOI 10.1016/j.jenvman.2019.109591
   Peng L, 2019, SUSTAIN DEV, V27, P885, DOI 10.1002/sd.1948
   Peng L, 2019, CLIM DEV, V11, P469, DOI 10.1080/17565529.2018.1445613
   Peng L, 2017, NAT HAZARDS, V85, P777, DOI 10.1007/s11069-016-2604-6
   Peng Y, 2018, HABITAT INT, V71, P169, DOI 10.1016/j.habitatint.2017.11.008
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Qiao, 2012, HENAN SOC SCI, V20, P59
   Qing C, 2021, INT J DISAST RISK RE, V59, DOI 10.1016/j.ijdrr.2021.102252
   Rissman AR, 2022, J SUSTAIN FOREST, V41, P115, DOI 10.1080/10549811.2020.1841008
   Roy R, 2021, ENVIRON DEV SUSTAIN, V23, P5386, DOI 10.1007/s10668-020-00821-y
   Salam R, 2021, NAT HAZARDS, V106, P509, DOI 10.1007/s11069-020-04473-z
   Sarker MNI, 2020, INT J ADV COMPUT SC, V11, P533
   Satumanatpan S, 2020, COAST MANAGE, V48, P1, DOI 10.1080/08920753.2020.1689769
   Schramski S, 2013, NAT HAZARDS REV, V14, P211, DOI 10.1061/(ASCE)NH.1527-6996.0000100
   SHAHEEN AM, 2021, ENG OPTIMIZ     0331, pNIL1, DOI DOI 10.1080/0305215X.2021.1897799
   Simtowe F., 2015, Development (London), V58, P366
   Smit B., 1999, MITIG ADAPT STRAT GL, V4, P199, DOI [10.1023/a:1009652531101, DOI 10.1023/A:1009652531101, https://doi.org/10.1023/A:1009652531101]
   Song X.Q, 2019, J MT, V37, P564
   Su F, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11123349
   [苏芳 Su Fang], 2018, [中国农业大学学报, Journal of China Agricultural University], V23, P226
   The National Rural Revitalization Administration, 2015, POV ALL IS UND DIG O
   Tian L, 2014, NAT HAZARDS, V74, P1595, DOI 10.1007/s11069-014-1257-6
   Tu L., 2018, RURAL EC, V8, P76
   Turvey CG, 2009, CHINA AGR ECON REV, V1, P155, DOI 10.1108/17561370910927417
   Voss RC, 2022, CLIM DEV, V14, P52, DOI 10.1080/17565529.2021.1881424
   Wang M.L, 2017, AGR TECHNOLOGY EC, V7, P71
   Wang XL, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11082193
   [吴吉林 Wu Jilin], 2017, [经济地理, Economic Geography], V37, P232
   Xie J. H., 2018, China Rural Economy, V11, P96
   Xu DD, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17093246
   Xu DD, 2020, LAND-BASEL, V9, DOI 10.3390/land9030081
   Xu DD, 2020, LAND-BASEL, V9, DOI 10.3390/land9010011
   Xu DD, 2019, LAND USE POLICY, V88, DOI 10.1016/j.landusepol.2019.104164
   Xu DD, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16224512
   Xu DD, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16183345
   Xu DD, 2019, J ENVIRON MANAGE, V232, P738, DOI 10.1016/j.jenvman.2018.11.136
   Xu DD, 2018, INT J DISAST RISK SC, V9, P167, DOI 10.1007/s13753-018-0170-0
   Xu DD, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15071319
   Xu DD, 2017, HABITAT INT, V70, P72, DOI 10.1016/j.habitatint.2017.10.009
   Xu DD, 2017, INT J DISAST RISK RE, V22, P62, DOI 10.1016/j.ijdrr.2017.03.001
   [徐定德 Xu Dingde], 2015, [西南大学学报. 自然科学版, Journal of Southwest University. Natural Science Edition], V37, P118
   Xu H. S., 2012, AGR ECON-BLACKWELL, V33, P100, DOI DOI 10.13246/J.CNKI.IAE.2012.10.015
   Xue KJ, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18042106
   Yang, 2021, STAT DECIS MAK, V37, P95
   Yang HX, 2021, LAND-BASEL, V10, DOI 10.3390/land10050532
   Yin J, 2021, ISPRS INT J GEO-INF, V10, DOI 10.3390/ijgi10010011
   Yin Y.T, 2020, CHIN AGR SCI B, V36, P150
   Yong ZL, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17145254
   Yu JL, 2019, INT J DISAST RISK RE, V40, DOI 10.1016/j.ijdrr.2019.101253
   Zeng XY, 2021, INT J DISAST RISK RE, V53, DOI 10.1016/j.ijdrr.2020.101971
   Zhang L., 2019, CHIN RURAL EC, V3, P36
   Zhao X.Y., 2020, Popul. Res. Environ., V30, P140
   Zhao Xue-yan, 2016, Xibei Shifan Daxue Xuebao (Ziran Kexue Ban), V52, P127, DOI 10.16783/j.cnki.nwnuz.2016.04.025
   [赵雪雁 Zhao Xueyan], 2015, [地理研究, Geographical Research], V34, P922
   Zheng Y.P, 2019, GLACIAL PERMAFR, V42, P719
   Zhou WF, 2021, SAFETY SCI, V141, DOI 10.1016/j.ssci.2021.105350
   Zhou WF, 2021, NAT HAZARDS, V106, P255, DOI 10.1007/s11069-020-04460-4
   Zhuang LM, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101908
NR 119
TC 23
Z9 23
U1 19
U2 162
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2077-0472
J9 AGRICULTURE-BASEL
JI Agriculture-Basel
PD JUN
PY 2021
VL 11
IS 6
AR 506
DI 10.3390/agriculture11060506
PG 19
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture
GA SX8IS
UT WOS:000665442000001
OA gold
DA 2025-01-10
ER

PT J
AU Ratnayake, SS
   Kumar, L
   Kariyawasam, CS
AF Ratnayake, Sujith S.
   Kumar, Lalit
   Kariyawasam, Champika S.
TI Neglected and Underutilized Fruit Species in Sri Lanka: Prioritisation
   and Understanding the Potential Distribution under Climate Change
SO AGRONOMY-BASEL
LA English
DT Article
DE climate change scenarios; climate suitability; fruit selection index;
   Maxent; species distribution modeling
ID ACIDISSIMA-LINN RUTACEAE; SAMPLE SELECTION BIAS; DISTRIBUTION MODELS;
   TAMARINDUS-INDICA; PERFORMANCE; FOOD; VARIABILITY; ACCURACY; SECURITY;
   HOTSPOTS
AB Neglected and underutilized fruit species (NUFS) can make an important contribution to the economy, food security and nutrition requirement for Sri Lanka. Identifying suitable areas for cultivation of NUFS is of paramount importance to deal with impending climate change issues. Nevertheless, limited studies have been carried out to assess the impact of climate change on the potential distribution of NUFS. Therefore, we examined the potential range changes of NUFS in a tropical climate using a case study from Sri Lanka. We prioritized and modeled the potentially suitable areas for four NUFS, namely Aegle marmelos, Annona muricata, Limonia acidissima and Tamarindus indica under current and projected climates (RCP 4.5 and RCP 8.5) for 2050 and 2070 using the maximum entropy (Maxent) species distribution modeling (SDM) approach. Potentially suitable areas for NUFS are predicted to decrease in the future under both scenarios. Out of the four NUFS, T. indica appears to be at the highest risk due to reduction in potential areas that are suitable for its growth under both emissions scenarios. The predicted suitable area reductions of this species for 2050 and 2070 are estimated as >75% compared to the current climate. A region of potentially higher climatic suitability was found around mid-county for multiple NUFS, which is also predicted to decrease under projected climate change. Further, the study identified high-potential agro-ecological regions (AERs) located in the mid-country's wet and intermediate zones as the most suitable areas for promoting the cultivation of NUFS. The findings show the potential for incorporating predictive modeling into the management of NUFS under projected climate change. This study highlights the requirements of climate change adaptation strategies and focused research that can increase the resilience of NUFS to future changes in climate.
C1 [Ratnayake, Sujith S.] Minist Mahaweli Dev & Environm, Climate Change Secretariat, Colombo 10120, Sri Lanka.
   [Ratnayake, Sujith S.; Kumar, Lalit; Kariyawasam, Champika S.] Univ New England, Sch Environm & Rural Sci, Ecosyst Management, Armidale, NSW 2351, Australia.
C3 University of New England
RP Ratnayake, SS (corresponding author), Minist Mahaweli Dev & Environm, Climate Change Secretariat, Colombo 10120, Sri Lanka.; Ratnayake, SS (corresponding author), Univ New England, Sch Environm & Rural Sci, Ecosyst Management, Armidale, NSW 2351, Australia.
EM gefsecsrilanka@gmail.com; lkumar@une.edu.au; ckariyaw@myune.edu.au
RI Kumar, Lalit/A-6397-2011
OI Kariyawasam, Champika/0000-0002-0334-5165; Ratnayake,
   Sujith/0000-0003-1923-5531
FU Global Environment Facility (GEF)
FX We would like to thank H.K. Kadupitiya for providing the climate data
   used in this study. We are also grateful to the Global Environment
   Facility (GEF)-funded projects "In-situ conservation of crop wild
   relatives through enhanced Information management and field application"
   (2004-2010), "Mainstreaming biodiversity conservation and sustainable
   use for improved human nutrition and well-being" (2011-2018) and
   "Mainstreaming agrobiodiversity conservation and use in Sri Lankan
   agro-ecosystems for livelihoods and adaptation to climate change"
   (2011-2018), implemented by the Department of Agriculture and Ministry
   of Environment and SL-USA Cooperative germplasm development project on
   underutilized fruit species for exploration, collection, conservation
   and characterization of underutilized fruits 2003-2008, implemented by
   the Department of Agriculture, for providing geo-referenced occurrence
   data of studied species.
CR Abel C., 2013, P 1 CLIM SCI S ZIMB
   Adewole SO., 2006, African Journal of Biomedical Research, V9, P173, DOI [10.4314/ajbr.v9i3.48903, DOI 10.4314/AJBR.V9I3.48903]
   Allouche O, 2006, J APPL ECOL, V43, P1223, DOI 10.1111/j.1365-2664.2006.01214.x
   [Anonymous], 2024, Agroforestree database: A tree reference and selection guide version 4.0
   [Anonymous], SRI LANK 2 NAT COMM
   Aryal A, 2016, ECOL EVOL, V6, P4065, DOI 10.1002/ece3.2196
   Baldwin RA, 2009, ENTROPY, V11, P854, DOI 10.3390/e11040854
   Bandula A, 2016, PROC FOOD SCI, V6, P267, DOI 10.1016/j.profoo.2016.02.049
   Beaumont LJ, 2005, ECOL MODEL, V186, P250, DOI 10.1016/j.ecolmodel.2005.01.030
   Boria RA, 2014, ECOL MODEL, V275, P73, DOI 10.1016/j.ecolmodel.2013.12.012
   Boubli J, 2009, INT J PRIMATOL, V30, P217, DOI 10.1007/s10764-009-9335-4
   Brijesh S, 2009, BMC COMPLEM ALTERN M, V9, DOI 10.1186/1472-6882-9-47
   Castañeda-Alvarez NP, 2016, NAT PLANTS, V2, DOI [10.1038/NPLANTS.2016.22, 10.1038/nplants.2016.22]
   Cheng A, 2017, BIOL REV, V92, P188, DOI 10.1111/brv.12225
   Chivenge P, 2015, INT J ENV RES PUB HE, V12, P5685, DOI 10.3390/ijerph120605685
   Dahanayake N., 2015, INT J SCI RES, V5, P1
   Eckstein David., 2018, GLOBAL CLIMATE RISK
   El-Siddig K., 2006, Tamarind: Tamarindus Indica L, V1
   Elith J., PREDICTING DISTRIBUT
   Elith J, 2011, DIVERS DISTRIB, V17, P43, DOI 10.1111/j.1472-4642.2010.00725.x
   GALHENA Dilrukshi Hashini, 2013, Agriculture & Food Security, V2
   Graham CH, 2008, J APPL ECOL, V45, P239, DOI 10.1111/j.1365-2664.2007.01408.x
   Gruber K, 2017, NATURE, V544, pS8, DOI 10.1038/544S8a
   Haq N., 2002, P REG CONS M UT TROP
   Havinga RM, 2010, J ETHNOPHARMACOL, V127, P573, DOI 10.1016/j.jep.2009.11.028
   Hernandez PA, 2006, ECOGRAPHY, V29, P773, DOI 10.1111/j.0906-7590.2006.04700.x
   Heumann BW, 2013, ANN ASSOC AM GEOGR, V103, P764, DOI 10.1080/00045608.2012.702479
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Ibáñez I, 2009, J APPL ECOL, V46, P1219, DOI 10.1111/j.1365-2664.2009.01736.x
   Ilaiyaraja N, 2015, FOOD CHEM, V173, P348, DOI 10.1016/j.foodchem.2014.10.035
   Ilango K, 2010, TROP J PHARM RES, V9, P223
   Jama BA, 2008, ECOL INDIC, V8, P170, DOI 10.1016/j.ecolind.2006.11.009
   Jayasinghe-Mudalige UK, 2006, REV AGR ECON, V28, P494, DOI 10.1111/j.1467-9353.2006.00318.x
   Jayawardena S., 2017, NeelaHaritha-Clim. Chang. Mag. Sri Lanka, V2, P144
   Kadupitiya H.K., 2018, TROP AGR, V166, P91
   Kariyawasam CS, 2019, TROP CONSERV SCI, V12, DOI 10.1177/1940082919864269
   Kariyawasam CS, 2019, ENTROPY-SWITZ, V21, DOI 10.3390/e21060571
   Kuru Pinar, 2014, Asian Pacific Journal of Tropical Biomedicine, V4, P676
   Lamsal Pramod, 2018, Ambio, V47, P697, DOI 10.1007/s13280-018-1017-z
   Leroy B, 2018, J BIOGEOGR, V45, P1994, DOI 10.1111/jbi.13402
   Li X., 2018, FUTURE SMART FOOD RE, P51
   Liu CR, 2016, ECOL EVOL, V6, P337, DOI 10.1002/ece3.1878
   Liu N, 2016, J ETHNOPHARMACOL, V189, P210, DOI 10.1016/j.jep.2016.05.045
   Mabhaudhi T, 2019, PLANTA, V250, P695, DOI 10.1007/s00425-019-03129-y
   Malkanthi S. H. P., 2017, Journal of Agricultural Sciences (Sri Lanka), V12, P197, DOI 10.4038/jas.v12i3.8266
   Merow C, 2013, ECOGRAPHY, V36, P1058, DOI 10.1111/j.1600-0587.2013.07872.x
   Mishra V, 2014, J GEOPHYS RES-ATMOS, V119, P9301, DOI 10.1002/2014JD021636
   Mod HK, 2016, J VEG SCI, V27, P1308, DOI 10.1111/jvs.12444
   MoFE, 1999, BIODIVERS CONSERV
   Moghadamtousi SZ, 2015, INT J MOL SCI, V16, P15625, DOI 10.3390/ijms160715625
   MoMD&E, 2016, National Biodiversity Strategic Action Plan 2016-2022
   O'Donnell J, 2012, GLOBAL CHANGE BIOL, V18, P617, DOI 10.1111/j.1365-2486.2011.02537.x
   Padulosi S., 2002, P323, DOI 10.1079/9780851995229.0323
   Padulosi S., 2013, FIGHTING POVERTY HUN
   Padulosi S, 2011, CROP ADAPTATION TO CLIMATE CHANGE, P507
   Pareek O.P., 2009, UNDERUTILIZED FRUITS
   Peterson A.T., 2011, Ecological Niches and Geographic Distributions (MPB- 49), V56
   Phillips S.J., BRIEF TUTORIAL MAXEN
   Phillips SJ, 2006, ECOL MODEL, V190, P231, DOI 10.1016/j.ecolmodel.2005.03.026
   Phillips SJ, 2004, P 21 INT C MACH LEAR, P655, DOI DOI 10.1145/1015330.1015412
   Phillips SJ, 2008, ECOGRAPHY, V31, P161, DOI 10.1111/j.0906-7590.2008.5203.x
   Phillips SJ, 2008, ECOGRAPHY, V31, P272, DOI 10.1111/j.0906-7590.2008.5378.x
   Phillips SJ, 2017, ECOGRAPHY, V40, P887, DOI 10.1111/ecog.03049
   Phillips SJ, 2009, ECOL APPL, V19, P181, DOI 10.1890/07-2153.1
   Pinto A.C.Q., 2005, ANNONA SPECIES, P261
   Potts SG, 2010, TRENDS ECOL EVOL, V25, P345, DOI 10.1016/j.tree.2010.01.007
   Pradhan D, 2012, TROP J PHARM RES, V11, P413, DOI 10.4314/tjpr.v11i3.10
   Pramanik M, 2018, CLIM RISK MANAG, V19, P94, DOI 10.1016/j.crm.2017.11.002
   Punyawardena B.V.R., 2008, Rainfall in Sri Lanka and Agro-ecological Zones. (In Sinhala). Sri Lankawe Varshapathnaya ha Krushi-Parisarika Kalapa
   Pushpakumara G., 2009, AGROBIODIVERISITY SR
   Rao N., 2013, MIDDLE E HORTIC SUMM, V1051, P91, DOI [10.17660/ActaHortic.2014.1051.8, DOI 10.17660/ACTAHORTIC.2014.1051.8]
   Shahedur Rahman Shahedur Rahman, 2014, Asian Pacific Journal of Tropical Disease, V4, P71
   Sharmila S, 2015, GLOBAL PLANET CHANGE, V124, P62, DOI 10.1016/j.gloplacha.2014.11.004
   Singh, 2007, UNDERUTILIZED FRUIT, VI
   Singh A, 2019, AGRONOMY-BASEL, V9, DOI 10.3390/agronomy9090491
   Sperber K, 2013, CLIM DYNAM, V41, P2711, DOI 10.1007/s00382-012-1607-6
   Su JH, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0138969
   SWETS JA, 1988, SCIENCE, V240, P1285, DOI 10.1126/science.3287615
   Venail R., 2012, P77
   Walther GR, 2002, NATURE, V416, P389, DOI 10.1038/416389a
   Watanabe M, 2010, J CLIMATE, V23, P6312, DOI 10.1175/2010JCLI3679.1
   Weerahewa J, 2013, APPETITE, V60, P252, DOI 10.1016/j.appet.2012.09.017
   Williams J.T., 2002, Global Research on Underutilized Crops: An Assessment of Current Activities and Proposals for Enhanced Cooperation
   Wisz MS, 2008, DIVERS DISTRIB, V14, P763, DOI 10.1111/j.1472-4642.2008.00482.x
   Young N., 2011, A MaxEnt model v3. 3.3 e tutorial (ArcGIS v10)
NR 85
TC 14
Z9 15
U1 2
U2 10
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4395
J9 AGRONOMY-BASEL
JI Agronomy-Basel
PD JAN
PY 2020
VL 10
IS 1
AR 34
DI 10.3390/agronomy10010034
PG 19
WC Agronomy; Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Plant Sciences
GA KL2AV
UT WOS:000513232600034
OA gold
DA 2025-01-10
ER

PT J
AU Dastgheib, A
   Jongejan, R
   Wickramanayake, M
   Ranasinghe, R
AF Dastgheib, Ali
   Jongejan, Ruben
   Wickramanayake, Mangala
   Ranasinghe, Roshanka
TI Regional Scale Risk-Informed Land-Use Planning Using Probabilistic
   Coastline Recession Modelling and Economical Optimisation: East Coast of
   Sri Lanka
SO JOURNAL OF MARINE SCIENCE AND ENGINEERING
LA English
DT Article
DE coastline retreat; coastal risk; economical optimisation; coastal zone
   management; climate change adaptation
ID CLIMATE-CHANGE IMPACTS; STABILITY; HAZARD
AB One of the measures that has been implemented widely to adapt to the effect of climate change in coastal zones is the implementation of set-back lines. The traditional approach of determining set-back lines is likely to be conservative, and thus pose unnecessary constraints on coastal zone development and fully utilising the potential of these high-return areas. In this study, we apply a newly developed risk-informed approach to determine the coastal set-back line at regional scale in a poor data environment. This approach aims to find the economic optimum by balancing the (potential) economic gain from investing in coastal zones and the risk of coastal retreat due to sea level rise and storm erosion. This application focusses on the east coast of Sri Lanka, which is experiencing rapid economic growth on one hand and severe beach erosion on the other hand. This area of Sri Lanka is a highly data-poor environment, and the data is mostly available from global databases and very limited measurement campaigns. Probabilistic estimates of coastline retreat are obtained from the application of Probabilistic Coastline Recession (PCR) framework. Economic data, such as the discount rate, rate of return of investment, cost of damage, etc., are collated from existing estimates/reports for the area. The main outcome of this study is a series of maps indicating the economically optimal set-back line (EOSL) for the similar to 200-km-long coastal region. The EOSL is established for the year 2025 to provide a stable basis for land-use planning decisions over the next two decades or so. The EOSLs thus determined range between 12 m and 175 m from the coastline. Sensitivity analyses show that strong variations in key economic parameters such as the discount rate have a disproportionately small impact on the EOSL.
C1 [Dastgheib, Ali; Ranasinghe, Roshanka] IHE Delft Inst Water Educ, Dept Water Sci & Engn, POB 3015, NL-2601 DA Delft, Netherlands.
   [Jongejan, Ruben] Jongejan Risk Management Consulting, Schoolstr 4, NL-2611 HS Delft, Netherlands.
   [Wickramanayake, Mangala] Coast Conservat & Coastal Resource Management Dep, 4th Floor,New Secretariat Bldg, Maligawatte 01000, Colombo, Sri Lanka.
   [Ranasinghe, Roshanka] Deltares, Harbour Coastal & Offshore Engn, POB 177, NL-2600 MH Delft, Netherlands.
   [Ranasinghe, Roshanka] Univ Twente, Dept Water Engn & Management, POB 217, NL-7500 AE Enschede, Netherlands.
C3 IHE Delft Institute for Water Education; Deltares; University of Twente
RP Dastgheib, A (corresponding author), IHE Delft Inst Water Educ, Dept Water Sci & Engn, POB 3015, NL-2601 DA Delft, Netherlands.
EM a.dastgheib@un-ihe.org; ruben.jongejan@jongejanrmc.com;
   mangalawk@gmail.com; r.ranasinghe@un-ihe.org
RI Dastgheib, Ali/M-8982-2013; Ranasinghe, Roshanka/C-6711-2009
OI Dastgheib, Ali/0000-0002-5914-7213; Jongejan, Ruben/0000-0003-3578-2666;
   Ranasinghe, Roshanka/0000-0001-6234-2063
FU ADB-IHE Delft knowledge partnership; AXA Research Fund; Deltares
   Strategic Research Programme 'Coastal and Offshore Engineering';
   research budget of the CCCRM RD section; CCCRM RD section
FX This study is mainly funded by ADB-IHE Delft knowledge partnership. The
   counterpart funding required for this project was accommodated through
   the research budget of the CC&CRM R&D section. These funds enabled the
   beach profile and bathymetric surveys required for the modelling work.
   CC&CRM R&D section also provided a substantial amount of in-kind support
   to this study, for which we are very grateful. The authors are also
   thankful for the financial support from the AXA Research Fund. RR is
   supported by the AXA Research fund and the Deltares Strategic Research
   Programme 'Coastal and Offshore Engineering'.
CR Battjes J., 1978, P 16 INT C COAST ENG, VVol. 1, P569, DOI [10.9753/icce.v16.32, DOI 10.1061/9780872621909.034, DOI 10.9753/ICCE.V16.32]
   Berrisford P., 2011, ERA INTERIM ARCHIVE
   Bindoff NL, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P385
   BODC, 2003, GEBCO DIG ATL PUBL B
   Bonaldo D, 2015, REG ENVIRON CHANGE, V15, P45, DOI 10.1007/s10113-014-0619-7
   Booij N, 1999, J GEOPHYS RES-OCEANS, V104, P7649, DOI 10.1029/98JC02622
   Bruun P., 1962, J WATERWAYS HARBORS, V88, P117, DOI DOI 10.1061/JWHEAU.0000252
   Callaghan DP, 2008, COAST ENG, V55, P375, DOI 10.1016/j.coastaleng.2007.12.003
   Callaghan DP, 2009, COAST ENG, V56, P90, DOI 10.1016/j.coastaleng.2008.10.003
   Casas-Prat M, 2012, CLIMATIC CHANGE, V115, P667, DOI 10.1007/s10584-012-0466-9
   Christensen JH, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P847
   Church J.A., 2013, Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change
   Coelho C, 2009, ICES J MAR SCI, V66, P1497, DOI 10.1093/icesjms/fsp132
   Dastgheib A, 2016, J MAR SCI ENG, V4, DOI 10.3390/jmse4040086
   Duong TM, 2017, MAR GEOL, V390, P331, DOI 10.1016/j.margeo.2017.05.008
   Harrington S.E., 2000, REGULATION, V23, P40
   Hasselmann K., 1973, ERGAENZUNGSHEFT DTSC
   Holthuijsen L.H., 1993, P 2 INT S OCEAN WAVE, P630
   JIMENEZ JA, 1993, J WATERW PORT C-ASCE, V119, P466, DOI 10.1061/(ASCE)0733-950X(1993)119:4(466)
   Jongejan RB, 2011, AUST J CIV ENG, V9, P47, DOI 10.1080/14488353.2011.11463968
   Jongejan R, 2016, OCEAN COAST MANAGE, V122, P87, DOI 10.1016/j.ocecoaman.2016.01.006
   Kunreuther H, 2004, J RISK UNCERTAINTY, V28, P5, DOI 10.1023/B:RISK.0000009433.25126.87
   Lin-Ye J, 2016, COAST ENG, V117, P138, DOI 10.1016/j.coastaleng.2016.08.002
   Ministry of Mahaweli Development and Environment, 2018, SRI LANK COAST ZON C
   MISHAN EJ, 1971, J ECON LIT, V9, P1
   Muis S, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11969
   Nicholls R., 2011, Constructing Sea-Level Scenarios for Impact and Adaptation Assessment of Coastal Areas: A Guidance Document
   Parry ML, 2007, CLIMATE CHANGE 2007, P315
   Ranasinghe R, 2016, EARTH-SCI REV, V160, P320, DOI 10.1016/j.earscirev.2016.07.011
   Ranasinghe R, 2012, CLIMATIC CHANGE, V110, P561, DOI 10.1007/s10584-011-0107-8
   Ris R.C., 1997, 974 DELFT U TECHN DE
   Roelvink D, 2018, COAST ENG, V134, P103, DOI 10.1016/j.coastaleng.2017.07.004
   Roelvink D, 2009, COAST ENG, V56, P1133, DOI 10.1016/j.coastaleng.2009.08.006
   SLOVIC P, 1977, J RISK INSUR, V44, P237, DOI 10.2307/252136
   Soulsby R., 1997, Dynamics of Marine Sands
   Stockdon HF, 2006, COAST ENG, V53, P573, DOI 10.1016/j.coastaleng.2005.12.005
   Mendoza ET, 2006, J COASTAL RES, P81
   Duong TM, 2018, MAR GEOL, V395, P65, DOI 10.1016/j.margeo.2017.09.007
   Viavattene, 2015, COASTAL RISK ASSESSM
   Vousdoukas MI, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04692-w
   VRIJLING JK, 1995, J HAZARD MATER, V43, P245, DOI 10.1016/0304-3894(95)91197-V
   Wainwright DJ, 2014, OCEAN COAST MANAGE, V95, P147, DOI 10.1016/j.ocecoaman.2014.04.009
   Wong PP, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P361
NR 43
TC 19
Z9 21
U1 1
U2 7
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2077-1312
J9 J MAR SCI ENG
JI J. Mar. Sci. Eng.
PD DEC
PY 2018
VL 6
IS 4
AR 120
DI 10.3390/jmse6040120
PG 32
WC Engineering, Marine; Engineering, Ocean; Oceanography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Oceanography
GA HH0NC
UT WOS:000455412500013
OA gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Phung, D
   Nguyen, HX
   Nguyen, HLT
   Do, CM
   Tran, QD
   Chu, C
AF Dung Phung
   Huong Xuan Nguyen
   Huong Lien Thi Nguyen
   Cuong Manh Do
   Quang Dai Tran
   Chu, Cordia
TI Spatiotemporal variation of hand-foot-mouth disease in relation to
   socioecological factors: A multiple-province analysis in Vietnam
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
ID MEKONG DELTA REGION; MOLECULAR EPIDEMIOLOGY; HUMAN ENTEROVIRUS-71;
   CHILDHOOD HAND; TEMPERATURE; OUTBREAKS; PATTERNS; WEATHER; HEALTH; CHINA
AB Background: Hand-foot-and-mouth disease (HFMD) is a significant public health issue in Asia-pacific countries. Numerous studies have examined the relationship between socio-ecological factors and HFMD however the research findings were inconsistent. This study examined the association between socio-ecologic factors and HFMD in multiple provinces across Vietnam.
   Methods: We applied a spatial autoregressive model using a Bayesian framework to examine the relationship between HFMD and socio-demographic factors. We used a Generalized Linear Model (GLD) with Poisson family to examine the province-specific association between monthly HFMD and climatic factors while controlling for spatial lag, seasonality and long-term trend of HFMD. Then, we used a random-effect meta-analysis to generate pooled effect size of climate-HFMD association for regional and country scale.
   Results: One percent increase in newborn breastfed within 1 h of birth, households with permanent houses, and households accessed to safe water resulted in 1.57% (95% CI: -2.25, -0.93), 0.96% (-1.66, -0.23), and 1.13% (-2.16, -0.18) reduction in HFMD incidence, respectively. At the country-level, HFMD increased 7% (RR: 1.07; 95% CI: 1.052-1.088) and 3.1% (RR: 1.031, 95% CI: 1.024-1.039) for 1 degrees C increase in monthly temperature above 26 degrees C and 1% increase in monthly humidity above 76%. Whereas, HFMD decreased 3.1% associated with 1 mm increase in monthly cumulative rainfalls. The climate-HFMD relationship was varied by regions and provinces across the country.
   Conclusions: The findings reflect an important implication for the climate change adaptation strategies and public-health decision, of which development of weather-based early warning systems should be considered to strengthen communicable disease prevention system. (C) 2017 Elsevier B.V. All rights reserved.
C1 [Dung Phung; Huong Xuan Nguyen; Chu, Cordia] Griffith Univ, Ctr Environm & Populat Hlth, 179 Kessels Rd,Nathan Campus, Brisbane, Qld 4111, Australia.
   [Dung Phung] Sun Yat Sen Univ, Sch Publ Hlth, Guangzhou, Guangdong, Peoples R China.
   [Huong Lien Thi Nguyen; Cuong Manh Do] Minist Hlth, Hlth Environm Management Agcy, Hanoi, Vietnam.
   [Quang Dai Tran] Minist Hlth, Gen Dept Prevent Med, Hanoi, Vietnam.
C3 Griffith University; Sun Yat Sen University
RP Phung, D (corresponding author), Griffith Univ, Ctr Environm & Populat Hlth, 179 Kessels Rd,Nathan Campus, Brisbane, Qld 4111, Australia.
EM d.phung@griffith.edu.ac
RI Xuan Huong, Nguyen/GRR-6055-2022; Phung, Dung/ABC-9218-2021; Chu,
   Christopher/HHN-4195-2022
OI Chu, Cordia/0000-0002-3683-5638
FU Griffith University; Griffith PHD Scholarship
FX DP was supported by a Griffith University Post-doctoral Fellowship
   2017-2018. HXN was supported by a Griffith PHD Scholarship 2016-2018.
CR Ang LW, 2009, ANN ACAD MED SINGAP, V38, P106
   [Anonymous], 2011, A Guide to Clinical Management and Public Health Response for Hand, Foot and Mouth Disease (HFMD)
   [Anonymous], MAT DO DAN SO THEO T
   [Anonymous], 2017, PUBLIC HEALTH, DOI DOI 10.1016/j.puhe.2015.03.018
   [Anonymous], HAND FOOT MOUTH DIS
   [Anonymous], ENV SCI TECHNOL
   [Anonymous], 2010, The 2009 Vietnam Population and Housing Census: Major Findings, DOI DOI 10.2307/3737355
   [Anonymous], IS HIGH RELATIVE HUM
   [Anonymous], INT J BIOMETEOROL
   [Anonymous], SHOCK VIB
   [Anonymous], 2007, ARS TOX PROF
   [Anonymous], 2009, EEPSEA Special and Technical Paper tp200901-1
   [Anonymous], INSTR REP COMM DIS O
   [Anonymous], EPIDEMIOL INFECT
   [Anonymous], 2004, P 1 SEM APPL AER MUR
   Bélanger M, 2009, ANN EPIDEMIOL, V19, P180, DOI 10.1016/j.annepidem.2008.12.008
   Bo YC, 2014, BMC PUBLIC HEALTH, V14, DOI 10.1186/1471-2458-14-358
   BULL GM, 1980, LANCET, V1, P1405
   Cardosa MJ, 2003, EMERG INFECT DIS, V9, P461
   Chan KP, 2003, EMERG INFECT DIS, V9, P78
   Chen KT, 2007, PEDIATRICS, V120, pE244, DOI 10.1542/peds.2006-3331
   Phung D, 2015, ACTA TROP, V141, P88, DOI 10.1016/j.actatropica.2014.10.005
   Gelting R, 2005, INT J HYG ENVIR HEAL, V208, P67, DOI 10.1016/j.ijheh.2005.01.009
   Gerba CP, 1996, INT J FOOD MICROBIOL, V30, P113, DOI 10.1016/0168-1605(96)00996-8
   Gobin A, 2016, INT J CLIMATOL, V36, P1686, DOI 10.1002/joc.4451
   Gou FX, 2017, INT J BIOMETEOROL, V61, P137, DOI 10.1007/s00484-016-1197-9
   Higgins JPT, 2003, BMJ-BRIT MED J, V327, P557, DOI 10.1136/bmj.327.7414.557
   Hii YL, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0016796
   Hondula DM, 2014, ENVIRON HEALTH PERSP, V122, P831, DOI 10.1289/ehp.1307496
   Hondula DM, 2012, ENVIRON HEALTH-GLOB, V11, DOI 10.1186/1476-069X-11-16
   Hu MG, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0038978
   Huang Y, 2013, BMC INFECT DIS, V13, DOI 10.1186/1471-2334-13-134
   Nguyen HX, 2017, SCI TOTAL ENVIRON, V581, P766, DOI [10.1016/j.scitotenv.2017.01.006, 10.1016/j.scitotenv2017.01.006]
   Jofre J, 2010, HANDB ENVIRON CHEM, V8, P147, DOI 10.1007/698_2009_22
   Lee TC, 2009, PEDIATR INFECT DIS J, V28, P904, DOI 10.1097/INF.0b013e3181a41d63
   Liu WD, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0131311
   Ma E, 2010, JPN J INFECT DIS, V63, P422
   Nguyen NTB, 2014, BMC INFECT DIS, V14, DOI 10.1186/1471-2334-14-341
   Nguyen TTT, 2010, J VIROL METHODS, V170, P134, DOI 10.1016/j.jviromet.2010.09.017
   Onozuka D, 2011, SCI TOTAL ENVIRON, V410, P119, DOI 10.1016/j.scitotenv.2011.09.055
   Phung D, 2016, TROP MED INT HEALTH, V21, P1324, DOI 10.1111/tmi.12754
   Sabanathan S, 2014, J EPIDEMIOL COMMUN H, V68, P500, DOI 10.1136/jech-2014-203836
   Sanders SA, 2006, ARCH VIROL, V151, P1003, DOI 10.1007/s00705-005-0684-9
   Sheridan S, 2014, ECOHEALTH, V11, P512, DOI 10.1007/s10393-014-0970-7
   Solomon T, 2010, LANCET INFECT DIS, V10, P778, DOI 10.1016/S1473-3099(10)70194-8
   Khanh TH, 2012, EMERG INFECT DIS, V18, P2002, DOI 10.3201/eid1812.120929
   Ud-Dean SMM, 2010, J THEOR BIOL, V264, P822, DOI 10.1016/j.jtbi.2010.03.013
   Urashima M, 2003, JPN J INFECT DIS, V56, P48
   Van Tan L, 2015, J VIROL METHODS, V215, P30, DOI 10.1016/j.jviromet.2015.02.011
   Van Tu P, 2007, EMERG INFECT DIS, V13, P1733, DOI 10.3201/eid1311.070632
   Wang JF, 2011, INT J HEALTH GEOGR, V10, DOI 10.1186/1476-072X-10-25
   Wang P, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0161006
   Wang Y, 2011, EPIDEMIOLOGY, V22, P781, DOI 10.1097/EDE.0b013e318231d67a
   Wei JN, 2015, PLOS NEGLECT TROP D, V9, DOI 10.1371/journal.pntd.0003572
   Xiao X, 2017, ENVIRON INT, V100, P102, DOI 10.1016/j.envint.2016.11.021
   Xing WJ, 2014, LANCET INFECT DIS, V14, P308, DOI 10.1016/S1473-3099(13)70342-6
   Xu MM, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0126171
   Xu ZW, 2012, ENVIRON RES, V117, P120, DOI 10.1016/j.envres.2012.07.002
   Yamamura S, 2014, J BIOSCI BIOENG, V118, P1, DOI 10.1016/j.jbiosc.2013.12.011
   Yang WH, 2012, PLOS ONE, V7, DOI [10.1371/journal.pone.0045233, 10.1371/journal.pone.0046789, 10.1371/journal.pone.0053429]
   Zhang Y, 2010, VIROL J, V7, DOI 10.1186/1743-422X-7-94
   Zhao DS, 2017, INT J BIOMETEOROL, V61, P453, DOI 10.1007/s00484-016-1225-9
   Zhao JJ, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0163789
   Zhu L, 2016, SCI TOTAL ENVIRON, V551, P452, DOI 10.1016/j.scitotenv.2016.01.173
NR 64
TC 29
Z9 31
U1 0
U2 68
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD JAN 1
PY 2018
VL 610
BP 983
EP 991
DI 10.1016/j.scitotenv.2017.08.158
PG 9
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA FI3VI
UT WOS:000411897700100
PM 28838035
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Holzkämper, A
   Fossati, D
   Hiltbrunner, J
   Fuhrer, J
AF Holzkaemper, Annelie
   Fossati, Dario
   Hiltbrunner, Juerg
   Fuhrer, Juerg
TI Spatial and temporal trends in agro-climatic limitations to production
   potentials for grain maize and winter wheat in Switzerland
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Climate impacts; Agricultural productivity; Climate suitability; Climate
   limitations; Switzerland
ID CLIMATE-CHANGE; CROP PRODUCTION; TEMPERATURE; SUITABILITY; RADIATION;
   PHENOLOGY; IMPACTS; YIELDS; CHINA
AB Climate is a major driver of agricultural production potentials. To make the best use of these potentials, agricultural management should be adjusted to local climatic conditions. As these conditions change over time, understanding climatic limitations and their trends in time and space is essential for the planning of suitable adaptation measures. In this study, we provide a detailed spatio-temporal analysis of climatic yield potentials for grain maize and winter wheat in Switzerland. We find that current climatic suitability for grain maize is mostly limited by sub-optimal temperatures, radiation and water scarcity, while climatic suitability for winter wheat is mostly limited through excess water, insufficient radiation, as well as frost and heat stress. Over the investigated period from 1983 to 2010, few regional trends in climate suitability were identified for the two crops, indicating that grain maize has benefitted slightly from increasing growth temperatures with recent warming (0.5 degrees C/decade), while winter wheat suitability decreased slightly due to suboptimal radiation/temperature ratios with warming. Despite only small trends in climate suitabilities, which are restricted to particular regions, future climatic changes could lead to more pronounced shifts. The tendencies of climate limitations identified in this study are mostly consistent with findings from other studies, and it can thus be anticipated that maize may continue to benefit from increasing temperatures on the short term, but may also be increasingly limited by water scarcity as summer precipitation decreases. For winter wheat, the relevance of heat stress is likely to increase with increasing temperatures. These results may help to support short-term adaptation planning. However, more detailed analyses of climate projections will be necessary to investigate "critical transitions" and provide more specific information to support long-term climate change adaptation planning (e.g. for irrigation and breeding programmes).
C1 [Holzkaemper, Annelie; Fuhrer, Juerg] Agroscope, Climate & Air Pollut Grp, CH-8046 Zurich, Switzerland.
   [Fossati, Dario] Agroscope, Field Crop Breeding Grp, CH-1260 Nyon, Switzerland.
   [Hiltbrunner, Juerg] Agroscope, Variet & Seeds, CH-8046 Zurich, Switzerland.
C3 Swiss Federal Research Station Agroscope; Swiss Federal Research Station
   Agroscope; Swiss Federal Research Station Agroscope
RP Holzkämper, A (corresponding author), Agroscope, Climate & Air Pollut Grp, Reckenholzstr 191, CH-8046 Zurich, Switzerland.
EM annelie.holzkaemper@agroscope.admin.ch
RI Fossati, Dario/AGJ-7132-2022
OI Holzkamper, Annelie/0000-0002-1951-1041
CR Acevedo E., 2002, BREAD WHEAT IMPROVEM, P567
   Ahmed F, 2013, BIOMED RES INT, V2013, DOI 10.1155/2013/963525
   [Anonymous], HELIOMONT SURFACE SO
   [Anonymous], DOC MET GRID DAT PRO
   [Anonymous], 2010, R Foundation for Statistical Computing
   Barnosky AD, 2012, NATURE, V486, P52, DOI 10.1038/nature11018
   Brisson N, 2010, FIELD CROP RES, V119, P201, DOI 10.1016/j.fcr.2010.07.012
   Ceppi P, 2012, INT J CLIMATOL, V32, P203, DOI 10.1002/joc.2260
   Chapman SC, 2012, CROP PASTURE SCI, V63, P251, DOI 10.1071/CP11303
   Dong JW, 2009, CLIM RES, V40, P37, DOI 10.3354/cr00823
   *FAO, 1993, GUID LAND US PLANN F
   FAO, 2002, FAO PLANT PROD PROT, V30
   FAT, 2003, AGR FAT TAN
   FISCHER RA, 1985, J AGR SCI-CAMBRIDGE, V105, P447, DOI 10.1017/S0021859600056495
   FISCHER RA, 1976, CROP SCI, V16, P855, DOI 10.2135/cropsci1976.0011183X001600060031x
   Frei C, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD005965
   Frei C, 1998, INT J CLIMATOL, V18, P873, DOI 10.1002/(SICI)1097-0088(19980630)18:8<873::AID-JOC255>3.0.CO;2-9
   Fuhrer J, 2011, ABSCHATZUNGEN ZUM WA
   Gate P., 1995, TECHNIQUE DOCUMENTAT
   Hawkins E, 2013, GLOBAL CHANGE BIOL, V19, P937, DOI 10.1111/gcb.12069
   Hiltbrunner J, 2013, AGRARFORSCH SCHWEIZ, V4, P1
   Holzkämper A, 2013, AGR FOREST METEOROL, V168, P149, DOI 10.1016/j.agrformet.2012.09.004
   Jayathilaka PMS, 2012, REG ENVIRON CHANGE, V12, P55, DOI 10.1007/s10113-011-0235-8
   Jeanneret F, 1977, JB GEOGRAPHISCHEN GE
   Lang R., 1999, CROPDATA KENNWERTE O
   Liu YA, 2010, GLOBAL CHANGE BIOL, V16, P2287, DOI 10.1111/j.1365-2486.2009.02077.x
   Lobell DB, 2007, ENVIRON RES LETT, V2, DOI 10.1088/1748-9326/2/1/014002
   Lobell DB, 2011, SCIENCE, V333, P616, DOI [10.1126/science.1206376, 10.1126/science.1204531]
   Ludwig F, 2010, AGR SYST, V103, P127, DOI 10.1016/j.agsy.2009.11.001
   Mackay I, 2011, THEOR APPL GENET, V122, P225, DOI 10.1007/s00122-010-1438-y
   Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187
   MeteoSwiss, 2013, CLIM TRENDS STAT
   MeteoSwiss, 2012, KLIM 2011
   Nalley LL, 2009, AGRON J, V101, P556, DOI 10.2134/agronj2008.0137x
   NIX H A, 1976, P495
   Olesen JE, 2007, CLIMATIC CHANGE, V81, P123, DOI 10.1007/s10584-006-9216-1
   Olesen JE, 2011, EUR J AGRON, V34, P96, DOI 10.1016/j.eja.2010.11.003
   Peltonen-Sainio P, 2010, AGR ECOSYST ENVIRON, V139, P483, DOI 10.1016/j.agee.2010.09.006
   Posselt R, 2012, REMOTE SENS ENVIRON, V118, P186, DOI 10.1016/j.rse.2011.11.016
   PRIESTLEY CHB, 1972, MON WEATHER REV, V100, P81, DOI 10.1175/1520-0493(1972)100<0081:OTAOSH>2.3.CO;2
   Primault B, 1972, EIDGENOSSISCHEN FORS
   Sacks WJ, 2011, AGR FOREST METEOROL, V151, P882, DOI 10.1016/j.agrformet.2011.02.010
   Schreiber KF, 1977, THERMAL CLASSIFICATI
   Semenov MA, 2011, SCI REP-UK, V1, DOI 10.1038/srep00066
   Siebert S, 2012, AGR FOREST METEOROL, V152, P44, DOI 10.1016/j.agrformet.2011.08.007
   Tao FL, 2012, EUR J AGRON, V43, P201, DOI 10.1016/j.eja.2012.07.005
   Willmott CJ., 1981, Phys Geogr, V2, P184, DOI [DOI 10.1080/02723646.1981.10642213, 10.1080/02723646.1981.10642213]
NR 47
TC 32
Z9 34
U1 0
U2 58
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD JAN
PY 2015
VL 15
IS 1
BP 109
EP 122
DI 10.1007/s10113-014-0627-7
PG 14
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA AY0KR
UT WOS:000347286000010
DA 2025-01-10
ER

PT J
AU Djalante, R
   Holley, C
   Thomalla, F
   Carnegie, M
AF Djalante, Riyanti
   Holley, Cameron
   Thomalla, Frank
   Carnegie, Michelle
TI Pathways for adaptive and integrated disaster resilience
SO NATURAL HAZARDS
LA English
DT Article
DE Integrated disaster resilience; Resilience; Disasters; Climate change;
   Indonesia; Pathways; Adaptive Governance
ID REDUCING HAZARD VULNERABILITY; CLIMATE-CHANGE; RESOURCE-MANAGEMENT; RISK
   REDUCTION; SUSTAINABLE DEVELOPMENT; BRIDGING ORGANIZATIONS;
   LOCAL-GOVERNMENT; ADAPTATION; GOVERNANCE; POLICY
AB The world is experiencing more frequent, deadly and costly disasters. Disasters are increasingly uncertain and complex due to rapid environmental and socio-economic changes occurring at multiple scales. Understanding the causes and impacts of disasters requires comprehensive, systematic and multi-disciplinary analysis. This paper introduces recent multidisciplinary work on resilience, disaster risk reduction (DRR), climate change adaptation (CCA) and adaptive governance and then proposes a new and innovative framework for adaptive and integrated disaster resilience (AIDR). AIDR is defined as the ability of nations and communities to build resilience in an integrated manner and strengthen mechanisms to build system adaptiveness. AIDR provides the ability to face complexities and uncertainties by designing institutional processes that function across sectors and scales, to engage multiple stakeholders and to promote social learning. Based on the review of existing academic and non-academic literature, we identify seven pathways to achieve AIDR. These pathways are a conceptual tool to support scholars, policy makers and practitioners to better integrate existing DRR strategies with CCA and more general development concerns. They describe institutional strategies that are aimed at dealing with complexities and uncertainties by integrating DRR, CCA and development; strengthening polycentric governance; fostering collaborations; improving knowledge and information; enabling institutional learning; self-organisation and networking; and provision of disaster risk finance and insurance. We also examine the implications of these pathways for Indonesia, one of the most vulnerable countries to natural hazards and climate change impacts. Our findings suggest that there is an urgent need to commit more resources to and strengthen multi-stakeholder collaboration at the local level. We also argue for placing the community at the centre of an integrated and adaptive approach to DRR and CCA.
C1 [Djalante, Riyanti; Thomalla, Frank] Macquarie Univ, Dept Geog & Environm, Sydney, NSW 2109, Australia.
   [Holley, Cameron] Univ New S Wales, Fac Law, Natl Ctr Groundwater Res & Training Connected Wat, Sydney, NSW, Australia.
   [Carnegie, Michelle] Australian Catholic Univ, Sch Arts & Sci, Sydney, NSW, Australia.
C3 Macquarie University; University of New South Wales Sydney; Australian
   Catholic University
RP Djalante, R (corresponding author), Macquarie Univ, Dept Geog & Environm, Sydney, NSW 2109, Australia.
EM riyanti.djalante@mq.edu.au
RI Djalante, Riyanti/X-3179-2019; Holley, Cameron/N-3314-2016
OI Holley, Cameron/0000-0003-2747-9587; Carnegie,
   Michelle/0000-0001-6493-6922; Djalante, Riyanti/0000-0001-6301-8409
FU Australia Development Scholarship; CSIRO Climate Adaptation Flagship
FX The first author is an Indonesian PhD student supported by the Australia
   Development Scholarship and top-up scholarship from CSIRO Climate
   Adaptation Flagship. She also works for the local government of Kendari
   City, Indonesia. The co-authors are the first authors' PhD supervisors.
   She is indebted to her discussions on integrated risk and disaster
   governance with Peijun Shi, Ortwin Renn, Nicholas Pidgeon, David
   Alexander, Guoyi Han and Roger Kasperson in the 2011 Summer Institute
   for Advance Study of Disaster and Risk of Beijing Normal University,
   China. Earlier version of the AIDR framework was presented during the
   Brown Institute of Advance Research Study, USA, 2012, where the first
   author discussed adaptive governance with Ronald Brunner and Amanda
   Lynch. An earlier discussion on the pathways for AIDR was presented at
   the UNU-WIDER Conference on Climate and Development in Helsinki, 2012.
CR ACCCRN, 2012, CIT PROJ AS CIT CLIM
   Acosta J., 2011, NONGOVERNMENTAL SECT
   ADB ADB DfID EC FMECD MoFA OECD UNDP UNEP Bank W, 2011, POV CLIM CHANG RED V
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2003, ECON GEOGR, V79, P387
   Ahrens J., 2006, J CONTING CRISIS MAN, V14, P207, DOI [10.1111/j.1468-5973.2006.00497.x, DOI 10.1111/J.1468-5973.2006.00497.X, DOI 10.1111/J.1468-5973.2006.00497]
   Alexander D, 1997, DISASTERS, V21, P284, DOI 10.1111/1467-7717.00064
   Amendola A, 2008, NAT HAZARDS, V44, P163, DOI 10.1007/s11069-007-9152-z
   [Anonymous], 2008, DISASTER RISK REDUCT
   [Anonymous], 2008, GUIDELINES IDENTIFIC
   [Anonymous], 2012, LOC GOV SUST
   [Anonymous], 2017, AFR SCI PLAN NAT HUM
   [Anonymous], 2012, 21 ISSUES 21 CENTURY
   [Anonymous], 2007, SYNTHESIS REPORT CON
   [Anonymous], 2010, KEEP PROM UN ACH MIL
   [Anonymous], GLOB FRAM CLIM SERV
   [Anonymous], 2009, TERM DIS RISK RED
   [Anonymous], 2010, NAT HAZ UN NAT DIS E
   [Anonymous], 1993, Natural Disasters
   [Anonymous], 2008, Risk Governance. Coping with Uncertainty in a Complex World
   [Anonymous], NATURE, DOI DOI 10.1038/461168A
   [Anonymous], 2002, PANARCHY UNDERSTANDI
   [Anonymous], 2011, GLOB ASS REP DIS RIS
   [Anonymous], 1998, MODELS COMMUNITY LEA
   [Anonymous], MIDT REV 2010 2011 H
   [Anonymous], BUILDING SAFER CITIE
   [Anonymous], 2008, INDONESIA
   [Anonymous], 2012, WORLDRISKREPORT 2012
   [Anonymous], 2009, EEPSEA Special and Technical Paper tp200901-1
   [Anonymous], 2002, The Institutional Dimensions of Environmental Change, DOI DOI 10.7551/MITPRESS/3807.001.0001
   [Anonymous], 2012, Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change
   [Anonymous], 2012, Data
   [Anonymous], 2009, CLIMATE RESILIENT CI
   [Anonymous], 2007, TRANSITION MANAGEMEN
   [Anonymous], 2012, The International Disaster Database
   [Anonymous], 2012, AB US
   [Anonymous], SUMM POL MAK CLIM CH
   [Anonymous], 1994, Journal of Public Administration Research and Theory, DOI DOI 10.1093/OXFORDJOURNALS.JPART.A037220
   APEC, 2011, WORKSH PRIV SECT EM
   APEC (Asia-Pacific Economic Cooperation) Emergency Preparedness Working Group, 2011, APEC WORKSH PUBL PRI
   ARGYRIS C, 1976, ADMIN SCI QUART, V21, P363, DOI 10.2307/2391848
   Argyris ChrisSchon., 1974, Theory in practice: Increasing professional effectiveness
   Asian Disaster Preparedness Center (ADPC), 2008, MON REP PROGR COMM B
   AusAID, 2013, DIS RISK RED
   Ayers JM, 2009, DEV POLICY REV, V27, P675, DOI 10.1111/j.1467-7679.2009.00465.x
   Bajek R, 2008, NAT HAZARDS, V44, P281, DOI 10.1007/s11069-007-9107-4
   BANDURA A, 1977, PSYCHOL REV, V84, P191, DOI 10.1037/0033-295X.84.2.191
   Basarnas, 2012, MAND NAT SEARCH RESC
   Benson C., 2007, TOOLS MAINSTREAMING
   Berkes F, 2007, NAT HAZARDS, V41, P283, DOI 10.1007/s11069-006-9036-7
   Berkes F, 2009, J ENVIRON MANAGE, V90, P1692, DOI 10.1016/j.jenvman.2008.12.001
   Birkmann J, 2012, ADAPTIVE DISASTER RI
   Birkmann J, 2010, SUSTAIN SCI, V5, P171, DOI 10.1007/s11625-010-0108-y
   Birkmann Jorn, 2011, DKKV PUBLICATION SER, V43
   BNPB, 2012, DAT INF BENC IND
   Bouwer LM, 2011, B AM METEOROL SOC, V92, P39, DOI 10.1175/2010BAMS3092.1
   Bouwer LM, 2006, DISASTERS, V30, P49, DOI 10.1111/j.1467-9523.2006.00306.x
   Boyd E, 2010, ENVIRON EDUC RES, V16, P629, DOI 10.1080/13504622.2010.505444
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   BROWN LD, 1991, HUM RELAT, V44, P807, DOI 10.1177/001872679104400804
   Brunner R. D., 2005, ADAPTIVE GOVERNANCE
   Bulkeley H, 2005, ENVIRON POLIT, V14, P42, DOI 10.1080/0964401042000310178
   Bullinger HM, 2002, INT J HUM-COMPUT INT, V14, P1, DOI 10.1207/S15327590IJHC1401_1
   Cannon T, 2010, NAT HAZARDS, V55, P621, DOI 10.1007/s11069-010-9499-4
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Cash DW, 2000, GLOBAL ENVIRON CHANG, V10, P109, DOI 10.1016/S0959-3780(00)00017-0
   CCaR, 2012, AB COAST CIT RISK
   CCRIF, 2012, AB US
   Chang Y, 2011, DISASTERS, V35, P739, DOI [10.1111/j.1467-7717.2011.01240.x, 10.1111/j.1467-7717.2010.01240.x]
   Chang-Seng D, 2010, THESIS RHEINISCHEN F
   Christoplos I, 2001, DISASTERS, V25, P185, DOI 10.1111/1467-7717.00171
   CICINSAIN B, 1993, OCEAN COAST MANAGE, V21, P11, DOI 10.1016/0964-5691(93)90019-U
   Comfort L. K., 2004, International Journal of Emergency Management, V2, P62, DOI 10.1504/IJEM.2004.005314
   COMFORT LK, 1985, PUBLIC ADMIN REV, V45, P155, DOI 10.2307/3135010
   Comfort LK, 2005, ANNU REV POLIT SCI, V8, P335, DOI 10.1146/annurev.polisci.8.081404.075608
   Comfort LK, 2006, NAT HAZARDS, V39, P309, DOI 10.1007/s11069-006-0030-x
   Corbacioglu S, 2006, DISASTERS, V30, P212, DOI 10.1111/j.0361-3666.2006.00316.x
   Corfee-Morlot J, 2011, CLIMATIC CHANGE, V104, P169, DOI 10.1007/s10584-010-9980-9
   Cosgrave J., 2007, Synthesis Report: Expanded Summary Joint evaluation of the international response to the Indian Ocean tsunami
   CPI (Climate Policy Initiative), 2011, LANDSC CLIM FIN
   Currion P, 2007, COMMUN ACM, V50, P61, DOI 10.1145/1226736.1226768
   Delladetsima PM, 2006, DISASTERS, V30, P469, DOI 10.1111/j.0361-3666.2006.00333.x
   DESDM BG BGR, 2012, GUID ASS RISKS NAT H
   DESDM BG BGR, 2012, GEOL HAZ RISK ASS KA
   Dietz T, 2003, SCIENCE, V302, P1907, DOI 10.1126/science.1091015
   Djalante R, 2012, NAT HAZARD EARTH SYS, V12, P2923, DOI 10.5194/nhess-12-2923-2012
   Djalante R., 2012, International Journal of Disaster Resilience in the Built Environment, V3, P166, DOI [10.1108/17595901211245260, DOI 10.1108/17595901211245260]
   Djalante R, 2013, CLIMATE CHANGE DISAS, P131, DOI DOI 10.1007/978-3-642-31110-9_
   Djalante R, 2013, REV STATE K IN PRESS
   Djalante R, 2011, INT J DISAST RISK SC, V2, P1, DOI 10.1007/s13753-011-0015-6
   Djalante R, 2012, NAT HAZARDS, V62, P779, DOI 10.1007/s11069-012-0106-8
   Djalante Riyanti., 2011, Asian Journal of Environment and Disaster Management, V03, P339, DOI [DOI 10.3850/S1793924011000952, 10.3850/S1793924011000952]
   Duxbury J, 2007, ECOL ECON, V63, P319, DOI 10.1016/j.ecolecon.2007.01.016
   EMDAT, 2013, TOP 10 NAT DIS IND C
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   Few R., 2006, LINKING CLIMATE CHAN
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Folke C, 2010, ECOL SOC, V15
   Fordham M., 2003, NATURAL DISASTERS GL, P73, DOI [10.4324/9780203402375, DOI 10.4324/9780203402375-15]
   Frensch P., 2014, Complex problem solving: The European perspective
   Future Earth, 2012, COD KNOWL SCI FIELDS
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Garmestani A.S., 2008, NEB L REV, V87, P1036
   Germanwatch, 2012, GLOB CLIM RISK IND 2
   GFDRR, 2012, PRIOR COUNTR GLOB FA
   GFDRR, 2012, MAN DIS RISKS RES FU
   GFDRR, 2013, PROJ COUNTR GLOB FAC
   GFDRR, 2013, PRIOR COUNTR GLOB FA
   Goldstein BE, 2009, J ENVIRON PLANN MAN, V52, P1013, DOI 10.1080/09640560903327443
   GRIP, 2013, AB US
   Gupta J, 2010, ENVIRON SCI POLICY, V13, P459, DOI 10.1016/j.envsci.2010.05.006
   Guston DH, 2001, SCI TECHNOL HUM VAL, V26, P399, DOI 10.1177/016224390102600401
   Heltberg R, 2009, GLOBAL ENVIRON CHANG, V19, P89, DOI 10.1016/j.gloenvcha.2008.11.003
   Henstra D, 2005, CAN PUBLIC POL, V31, P303, DOI 10.2307/3552443
   Holley Cameron., 2011, The new environmental governance
   Holling C.S., 1978, Adaptive environmental assessment and management
   Holling CS, 2001, ECOSYSTEMS, V4, P390, DOI 10.1007/s10021-001-0101-5
   Humphrey JC, 2000, SOCIOL REV, V48, P262, DOI 10.1111/1467-954X.00215
   Huntjens P, 2011, ENVIRON POLICY GOV, V21, P145, DOI 10.1002/eet.571
   Huq S., 2003, Funding Adaptation to Climate Change: What, who and how to fund?
   IDRC, 2012, 4 INT DIS RISK C DAV
   IFRC (International Federation of Red Cross and Red Crescent Societies), 2011, PUBL AW PUBL ED DIS
   IGRP, 2010, SCI PLAN
   IISD, 2003, IND NET OFF DEV ASS
   Ikeda S, 2004, P 2005 C SYST DYN MA, V1, P78
   Indexmundi, 2013, IND NET OFF DEV ASS
   IPCC, 2012, DAT DISTR CTR
   Ireland Philip, 2011, PLoS Curr, V3, pRRN1279, DOI 10.1371/currents.RRN1279
   Ireland P, 2010, CLIM DEV, V2, P332, DOI 10.3763/cdev.2010.0053
   IRG (Integrated Risk Governance Project), 2010, SCI PLAN
   James E, 2008, DEV PRACT, V18, P424, DOI 10.1080/09614520802030607
   Jonkman SN, 2008, ECOL ECON, V66, P77, DOI 10.1016/j.ecolecon.2007.12.022
   Kates RW, 2001, SCIENCE, V292, P641, DOI 10.1126/science.1059386
   Keen M, 2006, SOC NATUR RESOUR, V19, P497, DOI 10.1080/08941920600663896
   Kelly PM, 2000, CLIMATIC CHANGE, V47, P325, DOI 10.1023/A:1005627828199
   Kendra JM, 2003, DISASTERS, V27, P37, DOI 10.1111/1467-7717.00218
   King D, 2008, NAT HAZARDS, V47, P497, DOI 10.1007/s11069-008-9235-5
   Kithiia J, 2011, THESIS MACQUARIE U S
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Klein RJT, 2007, CLIMATIC CHANGE, V84, P23, DOI 10.1007/s10584-007-9268-x
   Klein RJT, 2010, CLIM DEV, V2, P203, DOI 10.3763/cdev.2010.0049
   Klinke A, 2012, J RISK RES, V15, P273, DOI 10.1080/13669877.2011.636838
   Kok MTJ, 2007, ENVIRON SCI POLICY, V10, P587, DOI 10.1016/j.envsci.2007.07.003
   Kunreuther H, 1996, J RISK UNCERTAINTY, V12, P171, DOI 10.1007/BF00055792
   KUNREUTHER H, 1974, J RISK INSUR, V41, P287, DOI 10.2307/252179
   Kunreuther H, 2006, J RISK UNCERTAINTY, V33, P101, DOI 10.1007/s11166-006-0173-x
   Kusumasari B, 2012, NAT HAZARDS, V60, P761, DOI 10.1007/s11069-011-0016-1
   Kusumasari B, 2010, DISASTER PREV MANAG, V19, P438, DOI 10.1108/09653561011070367
   Lane MB, 2009, AUSTRALAS J ENV MAN, V16, P16
   Larsen RK, 2011, GLOBAL ENVIRON CHANG, V21, P481, DOI 10.1016/j.gloenvcha.2010.12.009
   Lassa J.A., 2011, THESIS U BONN
   Lave J., 1991, Situated Learning. Legitimate Peripheral Participation
   Lebel L, 2006, ECOL SOC, V11
   Lebel L, 2010, INT ENVIRON AGREEM-P, V10, P333, DOI 10.1007/s10784-010-9142-6
   Lee KN, 1993, Compass and gyroscope
   Leemans R, 2009, CURR OPIN ENV SUST, V1, P4, DOI 10.1016/j.cosust.2009.07.013
   Leitmann J, 2007, J URBAN HEALTH, V84, pI144, DOI 10.1007/s11524-007-9182-6
   Carreño ML, 2007, NAT HAZARDS, V41, P1, DOI 10.1007/s11069-006-9008-y
   Linnerooth-Bayer J., 2007, Environmental Hazards, V7, P54, DOI 10.1016/j.envhaz.2007.04.004
   Linnerooth-Bayer J, 2005, SCIENCE, V309, P1044, DOI 10.1126/science.1116783
   Linnerooth-Bayer J., 2007, ENV HAZARDS, V7, P1, DOI [10.1016/j.envhaz.2007.04.001, DOI 10.1016/J.ENVHAZ.2007.04.001]
   Maplecroft, 2012, CLIM CHANG VULN IND
   Marschke M, 2009, J ENVIRON MANAGE, V90, P206, DOI 10.1016/j.jenvman.2007.08.012
   May B, 2011, ECOL SOC, V16
   McBean G.A., 2011, COPING GLOBAL ENV CH, P1193
   McGinnis MichaelD., 1999, POLYCENTRIC GOVERNAN, DOI 10.3998/mpub.16052
   McIntire D., 2001, DISASTER PREV MANAG, V10, P189, DOI DOI 10.1108/09653560110395359
   McSweeney K, 2011, P NATL ACAD SCI USA, V108, P5203, DOI 10.1073/pnas.1014123108
   Mercer J., 2009, DISASTERS, V30, P39
   MILLIKEN FJ, 1987, ACAD MANAGE REV, V12, P133, DOI 10.2307/257999
   Mitchell T, 2010, CLIMATE CMART DISAST
   Moore M, 2009, J HOMEL SECUR EMERG, V6
   Ngo E., 2012, ROUTLEDGE HDB HAZARD, P447
   Norio O, 2011, INT J DISAST RISK SC, V2, P34, DOI 10.1007/s13753-011-0004-9
   O'Brien G, 2006, DISASTERS, V30, P64, DOI 10.1111/j.1467-9523.2006.00307.x
   O'Brien G, 2010, DISASTER PREV MANAG, V19, P498, DOI 10.1108/09653561011070402
   OCHA, 2012, 3W WHO WHAT WHER CON
   OCHA-ROAP, 2011, IND NAT HAZ RISK
   Okada N, 2009, IDRIM C KYOT 13 OCT
   OKEEFE P, 1976, NATURE, V260, P566, DOI 10.1038/260566a0
   Olhoff A., 2010, Screening Tools and Guidelines to Support the Mainstreaming of Climate Change Adaptation into Development Assistance - A Stocktaking Report
   Olsson P, 2004, ENVIRON MANAGE, V34, P75, DOI 10.1007/s00267-003-0101-7
   Ostrom E, 2000, PS, V33, P33, DOI 10.2307/420774
   Ostrom E., 1992, CRAFTING I SELF GOVE
   Ostrom E, 2010, AM ECON REV, V100, P641, DOI 10.1257/aer.100.3.641
   OSTROM V, 1961, AM POLIT SCI REV, V55, P831, DOI 10.2307/1952530
   Pahl-Wostl C., 2008, Adaptive and Integrated Water Management: Coping with Complexity and Uncertainty
   Pahl-Wostl C, 2007, WATER RESOUR MANAG, V21, P49, DOI 10.1007/s11269-006-9040-4
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Paton D., 2017, Disaster resilience: an integrated approach
   Pelling M, 2005, GLOBAL ENVIRON CHANG, V15, P308, DOI 10.1016/j.gloenvcha.2005.02.001
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Pelling M, 2007, DISASTERS, V31, P373, DOI 10.1111/j.1467-7717.2007.01014.x
   Pelling M, 2011, ECOL SOC, V16
   Pollard S, 2008, WATER SA, V34, P671
   PreventionWeb, 2012, 58 PREVENTIONWEB
   PreventionWeb, 2012, ED MAT RISK ID ASS
   Reed SO, 2011, SHARED LEARNING DIAL
   RKPS, 2012, COMM RAD DIS INF SYS
   Schipper L, 2006, DISASTERS, V30, P19, DOI 10.1111/j.1467-9523.2006.00304.x
   Scholz J.T., 2005, Adaptive governance and water conflict: New institutions for collaborative planning
   Shankar K, 2008, INFORM SOC, V24, P116, DOI 10.1080/01972240701883963
   Shaw R, 2004, DISASTERS, V28, P16, DOI 10.1111/j.0361-3666.2004.00241.x
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Spahn H, 2010, NAT HAZARD EARTH SYS, V10, P1411, DOI 10.5194/nhess-10-1411-2010
   Suarez P, 2010, WIRES CLIM CHANGE, V1, P271, DOI 10.1002/wcc.37
   Sudmeier-Rieux K, 2011, MT RES DEV, V31, P112, DOI 10.1659/MRD-JOURNAL-D-10-00110.1
   Teh D., 2021, Handbook of Disaster Risk Reduction for Resilience, DOI 10.1007/978-3-030-61278-8_2
   Thomalla F, 2006, DISASTERS, V30, P39, DOI 10.1111/j.1467-9523.2006.00305.x
   Thomalla F, 2010, ENVIRON HAZARDS-UK, V9, P249, DOI 10.3763/ehaz.2010.0051
   Timmerman P., 1981, ENV MONOGRAPH, P1
   Tol RSJ, 2003, CLIMATIC CHANGE, V56, P265, DOI 10.1023/A:1021753906949
   Tompkins EL, 2008, GLOBAL ENVIRON CHANG, V18, P736, DOI 10.1016/j.gloenvcha.2008.07.010
   Tsubokawa H., 2008, J I SOCIAL SAFETY SC, V17, P43
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   UCLG, 2013, AB UCLG
   UN-HABITAT, 2011, LOC LEAD CLIM CHANG
   UNDP Indonesia, 2007, CLIM CHANG PROGR IND
   UNDP Indonesia, 2012, UNDP CRIS PREV REC P
   UNEP, 2007, VULN PEOPL ENV CHALL
   UNEP UNISDR, 2012, GLOB RISK DAT PLATF
   UNFCCC, 2019, CLIM ACT SUPP TRENDS
   UNISDR, 2012, ORG CONT
   UNISDR, 2012, COUNTR NAT PLATF
   UNISDR, 2012, OP SPEECH SUS BAMB Y
   UNISDR, 2009, GLOB ASS REP DIS RIS
   UNISDR, 2012, MAN CIT RES MY CIT I
   UNISDR, 2013, NETW COMM
   UNISDR, 2012, WE COORD
   UNISDR NGOs and Disaster Risk Reduction, 2006, NGOS DIS RISK RED PR
   United Nations, 2012, UN DAT WORLD INF
   United Nations, 2012, UN C SUST DEV RIO DE
   USAID, 2012, CLIM CHANG DEV STRAT
   van Oudenhoven FJW, 2011, MANAG ENVIRON QUAL, V22, P154, DOI 10.1108/14777831111113356
   Vogel C, 2007, GLOBAL ENVIRON CHANG, V17, P349, DOI 10.1016/j.gloenvcha.2007.05.002
   Wamsler C, 2007, ENVIRON URBAN, V19, P115, DOI 10.1177/0956247807077029
   Wamsler C, 2012, DISASTERS, V36, P28, DOI 10.1111/j.1467-7717.2011.01248.x
   WeADAPT, 2012, WEADAPT COLL CLIM CH
   WEF, 2012, GLOB RISKS 2013
   Wisner B., 2004, AT RISK, V2nd
   World Bank, 2009, COUNTR PARTN STRAT I
   World Bank, 2011, IND ADV NAT DIS RISK
   World Bank, 2011, SUMM CLIM CHANG DIS
   YEU GN-DRR, 2009, PAND DAR GAR DEP VIE
NR 247
TC 83
Z9 94
U1 3
U2 174
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 0921-030X
EI 1573-0840
J9 NAT HAZARDS
JI Nat. Hazards
PD DEC
PY 2013
VL 69
IS 3
BP 2105
EP 2135
DI 10.1007/s11069-013-0797-5
PG 31
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA 264KH
UT WOS:000327875400045
DA 2025-01-10
ER

PT J
AU Jongsomjit, D
   Stralberg, D
   Gardali, T
   Salas, L
   Wiens, J
AF Jongsomjit, Dennis
   Stralberg, Diana
   Gardali, Thomas
   Salas, Leonardo
   Wiens, John
TI Between a rock and a hard place: the impacts of climate change and
   housing development on breeding birds in California
SO LANDSCAPE ECOLOGY
LA English
DT Article
DE California; Exurban development; Generalized additive models; Land-use
   change; Species distribution models; Urbanization
ID LAND-USE CHANGE; WILDLAND-URBAN INTERFACE; LANDSCAPE PATTERNS; SPECIES
   RICHNESS; PROTECTED AREAS; BIODIVERSITY; FUTURE; EXTINCTION; GROWTH;
   DIVERSITY
AB Although the effects of climate change on species distributions have received considerable attention, land-use change continues to threaten wildlife by contributing to habitat loss and degradation. We compared projected spatial impacts of climate change and housing development across a range of housing densities on California's birds to evaluate the relative potential impacts of each. We used species-distribution models in concert with current and future climate projections and spatially explicit housing-development density projections in California. We compared their potential influence on the distributions of 64 focal bird species representing six major vegetation communities. Averaged across GCMs, species responding positively to climate change were projected to gain 253,890 km 2 and species responding negatively were projected to lose 335,640 km(2). Development accounted for 32 % of the overall reductions in projected species distributions. In terms of land area, suburban and exurban development accounted for the largest portion of land-use impacts on species' distributions. Areas in which climatic suitability and housing density were both projected to increase were concentrated along the foothills of the Sierra Nevada and areas of the north coast. Areas of decreasing climatic suitability and increasing housing density were largely concentrated within the Central Valley. Our analyses suggest that the cumulative effects of future housing development and climate change will be large for many bird species, and that some species projected to expand their distributions with climate change may actually lose ground to development. This suggests that a key climate change adaptation strategy will be to minimize the impacts of housing development. To do this effectively, comprehensive policies to guide land use decisions are needed at the broader scales of climate change.
C1 [Jongsomjit, Dennis; Stralberg, Diana; Gardali, Thomas; Salas, Leonardo; Wiens, John] PRBO Conservat Sci, Petaluma, CA 94954 USA.
RP Jongsomjit, D (corresponding author), PRBO Conservat Sci, 3820 Cypress Dr, Petaluma, CA 94954 USA.
EM djongsomjit@prbo.org
RI Wiens, John/K-4819-2012; Stralberg, Diana/W-9267-2019
OI Stralberg, Diana/0000-0003-4900-024X
FU David and Lucille Packard Foundation; National Fish and Wildlife
   Foundation; U.S. Forest Service; Bureau of Land Management; National
   Park Service; Bureau of Reclamation, Fish and Wildlife Service;
   California Department of Fish and Game; Faucett Family Foundation; U.S.
   Fish and Wildlife California Landscape Conservation Cooperative;
   National Science Foundation [DBI-0542868]; Natural Sciences and
   Engineering Research Council of Canada; University of Alberta; Alberta
   Ingenuity Fund
FX Data collection was funded by the David and Lucille Packard Foundation,
   National Fish and Wildlife Foundation, U.S. Forest Service, Bureau of
   Land Management, National Park Service, Bureau of Reclamation, Fish and
   Wildlife Service, California Department of Fish and Game. The Nature
   Conservancy, the Marin Municipal Water District, The Presidio Trust, and
   the CALFED Bay-Delta Program. An anonymous donor, the Faucett Family
   Foundation, the U.S. Fish and Wildlife California Landscape Conservation
   Cooperative, and the National Science Foundation (DBI-0542868) supported
   the research. D. Stralberg was supported by doctoral scholarships from
   the Natural Sciences and Engineering Research Council of Canada, the
   University of Alberta, and the Alberta Ingenuity Fund. We thank M.
   Snyder (UCSC) for the regional climate models, B. Bierwagen for access
   to the land-use models, and C.J. Ralph (RSL), J. Alexander (KBO), and
   the North American Breeding Bird Survey for access to and help with
   data, and countless PRBO biologists and staff for data collection. We
   are grateful to M. Fitzgibbon, D. Moody, and S. Veloz for help with data
   preparation and analysis, and to T. Root for inspiring this research. We
   appreciate the comments provided by G. Ballard, M. Araujo, J. Elith, E.
   Gustafson, and anonymous reviewers, which greatly improved this paper.
   This is PRBO contribution #1746.
CR [Anonymous], 2002, Report No. 74
   [Anonymous], POP PROJ CAL ITS COU
   [Anonymous], 2001, AVIAN ECOLOGY CONSER
   [Anonymous], 2009, EPA600R08076F
   [Anonymous], 2007, A report of working group I of the Intergovernmental Panel on Climate Change. Summary for policy makers and technical summary
   [Anonymous], 2002, PSWGTR184 USDA FOR S
   [Anonymous], 1990, Generalized additive models
   [Anonymous], 2006, ArcGIS 9. 2, DOI DOI 10.1007/s10980-007-9173-8
   [Anonymous], ADDR IMP CLIM CHANG
   Barbet-Massin M, 2012, GLOBAL CHANGE BIOL, V18, P881, DOI 10.1111/j.1365-2486.2011.02552.x
   Beardsley K, 2009, LANDSCAPE URBAN PLAN, V93, P172, DOI 10.1016/j.landurbplan.2009.07.003
   Blair R, 2004, ECOL SOC, V9
   Blair RB, 1996, ECOL APPL, V6, P506, DOI 10.2307/2269387
   Bomhard B, 2005, GLOBAL CHANGE BIOL, V11, P1452, DOI 10.1111/j.1365-2486.2005.00997.x
   Brook BW, 2008, TRENDS ECOL EVOL, V23, P453, DOI 10.1016/j.tree.2008.03.011
   Chace JF, 2006, LANDSCAPE URBAN PLAN, V74, P46, DOI 10.1016/j.landurbplan.2004.08.007
   Chapin FS, 2010, TRENDS ECOL EVOL, V25, P241, DOI 10.1016/j.tree.2009.10.008
   Chase Mary K., 2005, U S Forest Service General Technical Report PSW, V191, P130
   Crooks KR, 2001, CONSERV BIOL, V15, P159, DOI 10.1046/j.1523-1739.2001.99379.x
   DALY C, 1994, J APPL METEOROL, V33, P140, DOI 10.1175/1520-0450(1994)033<0140:ASTMFM>2.0.CO;2
   Danielsen KA, 1999, HOUS POLICY DEBATE, V10, P513
   Davies RG, 2006, P ROY SOC B-BIOL SCI, V273, P2127, DOI 10.1098/rspb.2006.3551
   Davis F.W., 1998, CALIFORNIA GAP ANAL
   de Chazal J, 2009, GLOBAL ENVIRON CHANG, V19, P306, DOI 10.1016/j.gloenvcha.2008.09.007
   Desrochers RE, 2011, GLOBAL ECOL BIOGEOGR, V20, P857, DOI 10.1111/j.1466-8238.2011.00658.x
   Dirnböck T, 2003, J BIOGEOGR, V30, P401, DOI 10.1046/j.1365-2699.2003.00839.x
   Fielding AH, 1997, ENVIRON CONSERV, V24, P38, DOI 10.1017/S0376892997000088
   Fitzpatrick MC, 2009, BIODIVERS CONSERV, V18, P2255, DOI 10.1007/s10531-009-9584-8
   Forister ML, 2010, P NATL ACAD SCI USA, V107, P2088, DOI 10.1073/pnas.0909686107
   Fraterrigo JM, 2005, LANDSCAPE URBAN PLAN, V71, P263, DOI 10.1016/S0169-2046(04)00080-5
   Guisan A., 2000, Integr Assess, V1, P307, DOI [DOI 10.1023/A:1018912114948, 10.1023/A:1018912114948]
   Hammer RB, 2007, INT J WILDLAND FIRE, V16, P255, DOI 10.1071/WF05077
   Hansen AJ, 2005, ECOL APPL, V15, P1893, DOI 10.1890/05-5221
   HANSEN AJ, 1992, LANDSCAPE ECOL, V7, P163, DOI 10.1007/BF00133308
   Harris RJ, 2002, ANN ZOOL FENN, V39, P275
   Heller NE, 2009, BIOL CONSERV, V142, P14, DOI 10.1016/j.biocon.2008.10.006
   Hill JK, 2001, ECOL LETT, V4, P313, DOI 10.1046/j.1461-0248.2001.00222.x
   Jetz W, 2007, PLOS BIOL, V5, P1211, DOI 10.1371/journal.pbio.0050157
   Johnston R.A., 2008, UPlan Land Use Allocation Model 2.6 User's Manual
   Johnston Richard F., 2001, P49
   La Sorte FA, 2007, J BIOGEOGR, V34, P2159, DOI 10.1111/j.1365-2699.2007.01761.x
   Larsen L, 2004, J AM PLANN ASSOC, V70, P374
   Lepczyk CA, 2008, CONSERV BIOL, V22, P405, DOI 10.1111/j.1523-1739.2008.00881.x
   MacKenzie DI, 2002, ECOLOGY, V83, P2248, DOI 10.1890/0012-9658(2002)083[2248:ESORWD]2.0.CO;2
   McKinney ML, 2002, BIOSCIENCE, V52, P883, DOI 10.1641/0006-3568(2002)052[0883:UBAC]2.0.CO;2
   Merenlender AM, 2009, LANDSCAPE URBAN PLAN, V92, P255, DOI 10.1016/j.landurbplan.2009.05.004
   Midgley GF, 2002, GLOBAL ECOL BIOGEOGR, V11, P445, DOI 10.1046/j.1466-822X.2002.00307.x
   Myers N, 2000, NATURE, V403, P853, DOI 10.1038/35002501
   Pal JS, 2007, B AM METEOROL SOC, V88, P1395, DOI 10.1175/BAMS-88-9-1395
   Peterson AT, 2002, NATURE, V416, P626, DOI 10.1038/416626a
   Pidgeon AM, 2007, ECOL APPL, V17, P1989, DOI 10.1890/06-1489.1
   Pompe S, 2008, BIOL LETTERS, V4, P564, DOI 10.1098/rsbl.2008.0231
   Poole A., 2009, BIRDS N AM ONLINE
   Pyke CR, 2004, FRONT ECOL ENVIRON, V2, P178, DOI 10.1890/1540-9295(2004)002[0178:HLCCCI]2.0.CO;2
   Radeloff VC, 2005, ECOL APPL, V15, P799, DOI 10.1890/04-1413
   Radeloff VC, 2010, P NATL ACAD SCI USA, V107, P940, DOI 10.1073/pnas.0911131107
   Reif J, 2010, ACTA ORNITHOL, V45, P83, DOI 10.3161/000164510X516128
   Sala OE, 2000, SCIENCE, V287, P1770, DOI 10.1126/science.287.5459.1770
   Sauer J.R., 2008, N AM BREEDING BIRD S
   Sokolov AP, 2009, J CLIMATE, V22, P5175, DOI 10.1175/2009JCLI2863.1
   Spencer W. D., 2010, California Essential Habitat Connectivity Project: A Strategy for Conserving a Connected California
   Stralberg D, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006825
   SWETS JA, 1988, SCIENCE, V240, P1285, DOI 10.1126/science.3287615
   Theobald DM, 2005, ECOL SOC, V10
   Theobald DM, 2001, GEOGR REV, V91, P544, DOI 10.2307/3594740
   Theobald DM, 1997, LANDSCAPE URBAN PLAN, V39, P25, DOI 10.1016/S0169-2046(97)00041-8
   Thomas CD, 2004, NATURE, V427, P145, DOI 10.1038/nature02121
   Travis JMJ, 2003, P ROY SOC B-BIOL SCI, V270, P467, DOI 10.1098/rspb.2002.2246
   Warren MS, 2001, NATURE, V414, P65, DOI 10.1038/35102054
   Whittingham MJ, 2006, J ANIM ECOL, V75, P1182, DOI 10.1111/j.1365-2656.2006.01141.x
   Wiens JA, 2011, BIOL CONSERV, V144, P2119, DOI 10.1016/j.biocon.2011.05.002
   Wiens JA, 2009, P NATL ACAD SCI USA, V106, P19729, DOI 10.1073/pnas.0901639106
   Wilcove DS, 1998, BIOSCIENCE, V48, P607, DOI 10.2307/1313420
   Zeiner D C., 1988, California's Wildlife, VII.
   Zhang BC, 2016, J BASIC MICROB, V56, P670, DOI 10.1002/jobm.201500751
NR 75
TC 30
Z9 35
U1 3
U2 129
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0921-2973
EI 1572-9761
J9 LANDSCAPE ECOL
JI Landsc. Ecol.
PD FEB
PY 2013
VL 28
IS 2
BP 187
EP 200
DI 10.1007/s10980-012-9825-1
PG 14
WC Ecology; Geography, Physical; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Physical Geography; Geology
GA 108JT
UT WOS:000316289800002
DA 2025-01-10
ER

PT J
AU Sarmiento, H
AF Sarmiento, Hugo
TI A Double Displacement: Climate Resettlements and Bogotá's Desplazados
SO JOURNAL OF PLANNING EDUCATION AND RESEARCH
LA English
DT Article; Early Access
DE climate adaptation; housing; displacement
ID POLICY
AB In 2013, as part of a climate adaptation plan, Bogota introduced a housing subsidy to facilitate the relocation of residents in high-risk zones. Residents in the urban periphery, specifically those already displaced by civil conflict, voice concerns of the potential for a secondary displacement or a "double displacement." Using housing data issued between 2013 and 2023, this study analyzes the spatial relationship between the city's risk zones and subsidized housing. It finds that residents resettled with this subsidy continue to be disproportionately represented in high-risk zones, with 57% of subsidized units, and 51% of those for internally displaced persons, or desplazados as they are locally known, located in high-risk zones.
C1 [Sarmiento, Hugo] Columbia Univ, Avery Hall, New York, NY 10027 USA.
C3 Columbia University
RP Sarmiento, H (corresponding author), Columbia Univ, Avery Hall, New York, NY 10027 USA.
EM hs3327@columbia.edu
CR Alcaldia D. M., 2015, Presentation Metropolitan Greenbelt
   Anguelovski I, 2016, J PLAN EDUC RES, V36, P333, DOI 10.1177/0739456X16645166
   [Anonymous], 2015, Reasentamiento de familias por alto riesgo en Bogota: Avances y desafios
   Bicknell J., 2009, Adapting Cities to Climate Change: Understanding and Addressing the Development Challenges
   Bouillon CesarPatricio., 2012, ROOM DEV HOUSING MAR
   Bredenoord J., 2014, Affordable housing in the urban global south: seeking sustainable solutions
   Ceballos Olga., 2008, Vivienda Social en Colombia. Una Mirada desde su legislacion 1918-2005
   Correa Elena., 2011, Reasentamiento preventive de poblaciones en riesgo de desastre: experencias de America Latina
   Cuervo Nicolas., 2009, Dos decadas de politica de vivienda en bogota apostando por el mercado
   de la Ossa M. R. S., 2011, Los dilemas del reasentamiento: debates y experiencias de la Mesa Nacional de Dilogos sobre Reasentamiento de Poblacin
   Dodman D, 2019, ENVIRON URBAN, V31, P3, DOI 10.1177/0956247819830004
   Guzman LA, 2017, TRANSP RES PROC, V25, DOI 10.1016/j.trpro.2017.05.345
   Hardoy J, 2011, CURR OPIN ENV SUST, V3, P158, DOI 10.1016/j.cosust.2011.01.004
   Hino M, 2017, NAT CLIM CHANGE, V7, P364, DOI [10.1038/NCLIMATE3252, 10.1038/nclimate3252]
   Johnson C., 2021, Rethinking Urban Risk and Resettlement in the Global South
   Koch F, 2018, CLIM DEV, V10, P179, DOI 10.1080/17565529.2016.1223592
   Lampis A, 2013, INT J URBAN REGIONAL, V37, P1879, DOI 10.1111/1468-2427.12034
   Long J, 2019, URBAN STUD, V56, P992, DOI 10.1177/0042098018770846
   Mercedes Maldonado Maria, 2016, Do you remember the Campo Verde Bosa project? It will be built against express court
   OLIVERSMITH A, 1990, DISASTERS, V14, P7, DOI 10.1111/j.1467-7717.1990.tb00968.x
   Osorio Gustavo., 2009, Prevencion y reduccion de riesgos a traves de los instrumentos de planificacion territorial en Bogota. Serie: Experiencias de desarollo local frente a los riesgos de desastres. Proyecto Apoyo a la Prevencion de Desastres en la Comundad Andina-PREDECAN
   Parias Durn Adriana., 2010, Territorios, V1819, P75
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Pinzn Ortz Jose David., 2014, Por que se inundaron Ciudadela El Recreo y Alameda del Rio? La urbanizacion de la planicie de inundacion del rio Bogota
   Ramirez Zea., 2016, Estudio de Vulnerabilidad por el Fenomeno de Inundacion del Barrio Ciudadela El Recreo Bosa en La Ciudad de Bogot
   Sanchez Javier Paava., 2019, Balance de la incorporacion de la gestion del riesgo de desastres en la primera generacion de POT y configuracion de las condiciones de riesgo en el context de cambio climatico desde la perspectiva poblacional del nuevo proyecto de POT de Bogota
   Sarmiento H, 2022, J URBAN AFF, V44, P983, DOI 10.1080/07352166.2020.1760721
   Ward P.M., 2014, Housing policy in Latin American cities: a new generation of strategies and approaches for 2016 UN-Habitat III
NR 28
TC 0
Z9 0
U1 0
U2 0
PU SAGE PUBLICATIONS INC
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 0739-456X
EI 1552-6577
J9 J PLAN EDUC RES
JI J. Plan. Educ. Res.
PD 2024 DEC 16
PY 2024
DI 10.1177/0739456X241298941
EA DEC 2024
PG 13
WC Regional & Urban Planning; Urban Studies
WE Social Science Citation Index (SSCI)
SC Public Administration; Urban Studies
GA P6E8U
UT WOS:001378826800001
DA 2025-01-10
ER

PT J
AU Ehrenfeucht, R
   Nelson, M
AF Ehrenfeucht, Renia
   Nelson, Marla
TI Towards Transformative Climate Relocation Initiatives
SO JOURNAL OF PLANNING LITERATURE
LA English
DT Article
DE climate adaptation; environmental migration; climate justice; managed
   retreat
ID COMMUNITY RELOCATIONS; POLITICAL ECOLOGY; MIGRATION; ADAPTATION;
   VULNERABILITY; RESETTLEMENT; ISLAND; DISPLACEMENT; PERSPECTIVES;
   STRATEGIES
AB Climate-induced changes will become an increasingly important factor in development patterns and where people choose to live. Assisting residents as they make decisions about staying and whether or if to move, and where to go, will become a critical dimension of climate adaptation policy. Using global cases of relocation initiatives, this article examines how adaptive relocation policy can facilitate community-led opportunities for frontline communities-communities of color and those with lower incomes-as people move from and stay in risky environments. It then summarizes factors to consider when designing relocation initiatives to lead to outcomes that improve people's well-being.
C1 [Ehrenfeucht, Renia] Univ New Mexico, Community & Reg Planning, Albuquerque, NM 87131 USA.
   [Nelson, Marla] Univ New Orleans, Planning & Urban Studies, New Orleans, LA 70148 USA.
C3 University of New Mexico; University of Louisiana System; University of
   New Orleans
RP Ehrenfeucht, R (corresponding author), Univ New Mexico, 2401 Cent Ave NE MSC04 2530, Albuquerque, NM 87131 USA.
EM rehrenfeucht@unm.edu
OI Ehrenfeucht, Renia/0000-0002-4173-7661
CR Adams H, 2016, POPUL ENVIRON, V37, P429, DOI 10.1007/s11111-015-0246-3
   Adger WN, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P755
   Ajibade I, 2020, GLOBAL ENVIRON CHANG, V65, DOI 10.1016/j.gloenvcha.2020.102187
   Ajibade I, 2019, CLIMATIC CHANGE, V157, P299, DOI 10.1007/s10584-019-02535-1
   Albert S, 2018, REG ENVIRON CHANGE, V18, P2261, DOI 10.1007/s10113-017-1256-8
   [Anonymous], 2009, Government Accountability Office: FDA needs to enhance its oversight of drugs approved on the basis of surrogate endpoints
   Aragón-Duran E, 2020, INT J DISAST RISK RE, V50, DOI 10.1016/j.ijdrr.2020.101712
   Baker CK, 2018, RISK HAZARDS CRISIS, V9, P455, DOI 10.1002/rhc3.12144
   Barnett J, 2020, PROG HUM GEOG, V44, P1172, DOI 10.1177/0309132519898254
   Bartram D, 2015, J IMMIGR REFUG STUD, V13, P439, DOI 10.1080/15562948.2015.1030489
   Bergmann J, 2021, J ENVIRON STUD SCI, V11, P365, DOI 10.1007/s13412-021-00699-w
   Bertana A, 2020, ENVIRON PLAN C-POLIT, V38, P902, DOI 10.1177/2399654420909394
   Binder SB, 2020, DISASTER PREV MANAG, V29, P497, DOI 10.1108/DPM-09-2019-0298
   Binder SB, 2016, POLITICS GOV, V4, P97, DOI 10.17645/pag.v4i4.738
   Black R, 2011, GLOBAL ENVIRON CHANG, V21, pS3, DOI 10.1016/j.gloenvcha.2011.10.001
   Bronen R., 2011, NYU Review of Law and Social Change, V35, P357
   Bronen R, 2015, ECOL SOC, V20, DOI 10.5751/ES-07801-200336
   Bronen R, 2013, P NATL ACAD SCI USA, V110, P9320, DOI 10.1073/pnas.1210508110
   Cernea M.M., 2021, Social development in the World Bank, P235, DOI [10.1007/978-3-030-57426-016#DOI, DOI 10.1007/978-3-030-57426-016#DOI]
   Cottar S, 2021, NAT HAZARDS, V109, P201, DOI 10.1007/s11069-021-04832-4
   de Vries D.H., 2012, International Journal of Mass Emergencies Disasters, V30, P1, DOI [DOI 10.1017/CBO9781107415324.004, 10.1017/CBO9781107415324.004]
   de Vries DH, 2017, HUM ECOL, V45, P437, DOI 10.1007/s10745-017-9915-4
   Dorries H, 2020, J PLAN EDUC RES, V40, P210, DOI 10.1177/0739456X19894382
   Edwards JB, 2013, REFUG SURV Q, V32, P52, DOI 10.1093/rsq/hdt011
   Elliott JR, 2020, SOCIUS, V6, DOI 10.1177/2378023120905439
   Erdal MB, 2018, J ETHN MIGR STUD, V44, P981, DOI 10.1080/1369183X.2017.1384149
   Faist Thomas., 2013, DISENTANGLING MIGRAT, P3, DOI DOI 10.1007/978-94-007-6208-4_1
   Farbotko C, 2020, NAT CLIM CHANGE, V10, P702, DOI 10.1038/s41558-020-0829-6
   Pérez BF, 2021, J ENVIRON STUD SCI, V11, P352, DOI 10.1007/s13412-021-00693-2
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Frank Laczko, 2009, MIGRATION ENV CLIMAT
   Gaillard JC, 2012, CLIM DEV, V4, P261, DOI 10.1080/17565529.2012.742846
   GAO, 2003, GOVT ACCOUNTABILITY
   Green TF, 2012, HOUS POLICY DEBATE, V22, P75, DOI 10.1080/10511482.2011.624530
   Hanna C, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12020736
   Hermann E, 2017, CONTEMP PACIFIC, V29, P231, DOI 10.1353/cp.2017.0030
   Hugo G, 1996, INT MIGR REV, V30, P105, DOI 10.2307/2547462
   IOM, 1992, MIGR ENV
   Jacobs F, 2019, PLAN THEOR, V18, P24, DOI 10.1177/1473095218763221
   Jamero ML, 2019, MAR POLICY, V108, DOI 10.1016/j.marpol.2019.103614
   Jamero ML, 2017, NAT CLIM CHANGE, V7, P581, DOI [10.1038/nclimate3344, 10.1038/NCLIMATE3344]
   Jonsson Gunvor., 2008, International Migration Institute Working Papers
   Khan MR, 2021, SCIENCE, V372, P1290, DOI 10.1126/science.abi6364
   Knobloch DM, 2005, J CONTEMP WAT RES ED, V130, P41, DOI 10.1111/j.1936-704X.2005.mp130001008.x
   Koslov L, 2019, ANN AM ASSOC GEOGR, V109, P568, DOI 10.1080/24694452.2018.1549472
   Koslov L, 2016, PUBLIC CULTURE, V28, P359, DOI 10.1215/08992363-3427487
   Lei YR, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9081373
   Loughran K, 2022, HOUS POLICY DEBATE, V32, P171, DOI 10.1080/10511482.2021.1931928
   Lynn KA, 2017, J POLIT ECOL, V24, P951, DOI 10.2458/v24i1.20977
   Mach KJ, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aax8995
   Maldonado JK, 2013, CLIMATIC CHANGE, V120, P601, DOI 10.1007/s10584-013-0746-z
   Marino E, 2018, GLOBAL ENVIRON CHANG, V49, P10, DOI 10.1016/j.gloenvcha.2018.01.002
   Marino E, 2012, GLOBAL ENVIRON CHANG, V22, P374, DOI 10.1016/j.gloenvcha.2011.09.016
   Marino E, 2012, GLOBAL ENVIRON CHANG, V22, P323, DOI 10.1016/j.gloenvcha.2012.03.001
   Martin PCM, 2018, CLIM RISK MANAG, V21, P7, DOI 10.1016/j.crm.2018.04.003
   Masson-Delmotte V., 2021, Climate change 2021: The physical science basis, DOI [DOI 10.1017/9781009157896, 10.1017/9781009157896.002, DOI 10.1017/9781009157896.002]
   McDonnell S, 2021, CURR OPIN ENV SUST, V50, P281, DOI 10.1016/j.cosust.2021.06.008
   McGhee DJ, 2020, NAT HAZARDS REV, V21, DOI 10.1061/(ASCE)NH.1527-6996.0000337
   McMichael C, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18084355
   Nalau J, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10103545
   Nelson M., 2020, BUYOUTS ADAPTIVE MIG
   Nelson M, 2022, HOUS POLICY DEBATE, V32, P84, DOI 10.1080/10511482.2021.1925944
   Perumal N, 2018, ISL STUD J, V13, P45, DOI 10.24043/isj.50
   Piggott-McKellar A, 2021, REG ENVIRON CHANGE, V21, DOI 10.1007/s10113-021-01780-4
   Piggott-McKellar AE, 2019, SOC SCI-BASEL, V8, DOI 10.3390/socsci8050133
   Porter L, 2020, PLAN THEORY PRACT, V21, P293, DOI 10.1080/14649357.2020.1748959
   Chase JR, 2021, SOC NATUR RESOUR, V34, P1566, DOI 10.1080/08941920.2021.1977879
   Ristroph E.Barrett., 2017, Climate Law, V7, P259, DOI DOI 10.1163/18786561-00704003
   Ristroph EB, 2021, J ENVIRON STUD SCI, V11, P329, DOI 10.1007/s13412-021-00711-3
   Rivera DZ, 2022, INT J URBAN REGIONAL, V46, P126, DOI 10.1111/1468-2427.12950
   Schmidt-Soltau K, 2007, WORLD DEV, V35, P2182, DOI 10.1016/j.worlddev.2007.02.008
   Shearer C, 2012, J POLIT ECOL, V19, P174, DOI 10.2458/v19i1.21725
   Siders AR, 2019, SCIENCE, V365, P761, DOI 10.1126/science.aax8346
   Simms JRZ, 2021, J ENVIRON STUD SCI, V11, P316, DOI 10.1007/s13412-021-00682-5
   Taylor J, 2015, ENVIRON URBAN, V27, P621, DOI 10.1177/0956247815594532
   Tubridy D, 2021, LOCAL ENVIRON, V26, P517, DOI 10.1080/13549839.2021.1901268
   Tuck E, 2009, HARVARD EDUC REV, V79, P409, DOI 10.17763/haer.79.3.n0016675661t3n15
   Van de Vuurst P, 2020, FRONT EARTH SC-SWITZ, V8, DOI 10.3389/feart.2020.00005
   Wiegel H, 2021, REG ENVIRON CHANGE, V21, DOI 10.1007/s10113-021-01765-3
   Zander KK, 2020, CLIMATIC CHANGE, V162, P1639, DOI 10.1007/s10584-020-02846-8
   Zander KK, 2013, NAT HAZARDS, V67, P591, DOI 10.1007/s11069-013-0591-4
   Zickgraf C, 2019, SOC SCI-BASEL, V8, DOI 10.3390/socsci8080228
NR 82
TC 2
Z9 2
U1 2
U2 10
PU SAGE PUBLICATIONS INC
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 0885-4122
EI 1552-6593
J9 J PLAN LIT
JI J. Plan. Lit.
PD AUG
PY 2023
VL 38
IS 3
SI SI
BP 395
EP 407
DI 10.1177/08854122221130287
EA OCT 2022
PG 13
WC Regional & Urban Planning; Urban Studies
WE Social Science Citation Index (SSCI)
SC Public Administration; Urban Studies
GA R7VF2
UT WOS:000869925500001
DA 2025-01-10
ER

PT J
AU Rathgeber, CBK
   Fonti, P
   Shishov, VV
   Rozenberg, P
AF Rathgeber, Cyrille B. K.
   Fonti, Patrick
   Shishov, Vladimir V.
   Rozenberg, Philippe
TI Wood formation and tree adaptation to climate
SO ANNALS OF FOREST SCIENCE
LA English
DT Article; Proceedings Paper
CT Loire-Valley-Institute-for-Advanced-Studies International Conference
CY MAY 23-25, 2018
CL Orleans, FRANCE
SP Loire Valley Inst Adv Studies
DE Tree ring; Xylem anatomy; Wood formation dynamics; Stem radial growth;
   Climatic changes
AB Key message This special issue of Annals of Forest Science compiles ten papers on "Wood formation and tree adaptation to climate", which were presented at "Le Studium" International Conference in May 2018 in Orleans (France). These papers present observational, experimental and modelling studies investigating the influence of climatic changes on tree growth from the hour to the century, and from the cell to the landscape.
C1 [Rathgeber, Cyrille B. K.] Univ Lorraine, AgroParisTech, INRA, Silva, F-54000 Nancy, France.
   [Fonti, Patrick] Swiss Fed Inst Forest Snow & Landscape Res WSL, Zurcherstr 111, CH-8903 Birmensdorf, Switzerland.
   [Shishov, Vladimir V.] Siberian Fed Univ, Math Methods & Informat Technol Dept, L Prushinskoi St 2, Krasnoyarsk 660075, Russia.
   [Shishov, Vladimir V.] Le Studium Loire Valley Inst Adv Studies, 1 Rue Dupanloup, F-45000 Orleans, France.
   [Rozenberg, Philippe] INRA, UMR BIOFORA 588, F-45075 Orleans 2, France.
C3 INRAE; Universite de Lorraine; AgroParisTech; Swiss Federal Institutes
   of Technology Domain; Swiss Federal Institute for Forest, Snow &
   Landscape Research; Siberian Federal University; INRAE
RP Rathgeber, CBK (corresponding author), Univ Lorraine, AgroParisTech, INRA, Silva, F-54000 Nancy, France.
EM cyrille.rathgeber@inra.fr; patrick.fonti@wsl.ch; vlad.shishov@gmail.com;
   philippe.rozenberg@inra.fr
RI Rozenberg, Philippe/C-6466-2009; Rathgeber, Cyrille/A-6510-2009; Fonti,
   Patrick/B-7400-2011; Shishov, Vladimir/I-6256-2013
OI Fonti, Patrick/0000-0002-7070-3292; Shishov,
   Vladimir/0000-0001-8850-6142; Rozenberg, Philippe/0000-0002-9971-0795
FU French National Research Agency (ANR) as part of the "Investissements
   d'Avenir" program (Lab of Excellence ARBRE) [ANR-11-LABX-0002-01]
FX This work is supported by a grant overseen by the French National
   Research Agency (ANR) as part of the "Investissements d'Avenir" program
   (ANR-11-LABX-0002-01, Lab of Excellence ARBRE).
CR Abrams MD, 2019, ANN FOREST SCI, V76, DOI 10.1007/s13595-018-0790-y
   Andrianantenaina AN, 2019, ANN FOREST SCI, V76, DOI 10.1007/s13595-019-0846-7
   Arzac A, 2019, ANN FOR SCI
   Balducci L, 2019, ANN FOREST SCI, V76, DOI 10.1007/s13595-019-0870-7
   Bouzidi HA, 2019, ANN FOREST SCI, V76, DOI 10.1007/s13595-019-0809-z
   Friend AD, 2019, ANN FOREST SCI, V76, DOI 10.1007/s13595-019-0819-x
   Nanayakkara B, 2019, ANN FOREST SCI, V76, DOI 10.1007/s13595-019-0859-2
   Rosner S, 2019, ANN FOREST SCI, V76, DOI 10.1007/s13595-019-0868-1
   Saderi S, 2019, ANN FOREST SCI, V76, DOI 10.1007/s13595-019-0866-3
   Vieira J, 2019, ANN FOREST SCI, V76, DOI 10.1007/s13595-019-0865-4
NR 10
TC 7
Z9 7
U1 0
U2 38
PU SPRINGER FRANCE
PI PARIS
PA 22 RUE DE PALESTRO, PARIS, 75002, FRANCE
SN 1286-4560
EI 1297-966X
J9 ANN FOREST SCI
JI Ann. For. Sci.
PD DEC
PY 2019
VL 76
IS 4
AR 109
DI 10.1007/s13595-019-0902-3
PG 3
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED); Conference Proceedings Citation Index - Science (CPCI-S)
SC Forestry
GA KH7OI
UT WOS:000510839100003
OA Green Submitted, Bronze
DA 2025-01-10
ER

PT J
AU Qi, Y
   Zhang, XQ
   Yin, QW
AF Qi, Yu
   Zhang, Xianqi
   Yin, Qiuwen
TI Assessing water resource vulnerability based on remote sensing
   data-enhanced SWAT plus and High-Resolution precipitation data
SO ECOLOGICAL INDICATORS
LA English
DT Article
DE SWAT plus; Blue and green water; Leaf area index; Evapotranspiration
   simulation; Water resources vulnerability
AB Climate change and human activities have significantly impacted the global water cycle, increasingly threatening water security across various sectors. By improving the performance of hydrological models in simulating the water balance, including precipitation and evapotranspiration, we can better support decision-making for regional water resource management and the deployment of climate change adaptation measures. This study aims to enhance the simulation performance of the vegetation growth module in the SWAT + model and reduce its uncertainty by dynamically updating the model's data files with satellite-derived leaf area index and phenology data. Additionally, this study modified the weather station allocation mechanism in SWAT + to fully utilize the high-resolution meteorological data grids. The simulation results show that the enhanced SWAT + model achieved a Nash-Sutcliffe Efficiency (NSE) between 0.84 and 0.90 and a PBIAS of less than 6 % for daily streamflow simulations at four hydrological stations in the Weihe River Basin. The enhanced SWAT + model's water balance simulation results for the Weihe River Basin were used to analyze the vulnerability of water resources within the basin. The results indicate that the Qinling region, benefiting from its well-developed forest ecosystems, has the lowest green water vulnerability. The overall blue water vulnerability of the basin reached 1.12, suggesting that during periods of insufficient precipitation or intense evaporation, blue water resources may not meet the demands of agriculture, industry, ecology, and residential use. Among these, agricultural water use exhibits the highest vulnerability. Efficient irrigation technologies can be employed to improve irrigation water use efficiency, and the use of treated reclaimed water for agricultural irrigation can be promoted to reduce the demand for fresh blue water resources.
C1 [Qi, Yu; Zhang, Xianqi; Yin, Qiuwen] North China Univ Water Resources & Elect Power, Water Conservancy Coll, Zhengzhou 450046, Peoples R China.
   [Zhang, Xianqi] Collaborat Innovat Ctr Water Resources Efficient U, Zhengzhou 450046, Peoples R China.
   [Zhang, Xianqi] Technol Res Ctr Water Conservancy & Marine Traff E, Zhengzhou 450046, Henan, Peoples R China.
C3 North China University of Water Resources & Electric Power
RP Qi, Y (corresponding author), North China Univ Water Resources & Elect Power, Water Conservancy Coll, Zhengzhou 450046, Peoples R China.
EM 978665082@qq.com; zxqi@163.com; 2955959103@qq.com
CR Abitew TA, 2023, J HYDROL X, V20, DOI 10.1016/j.hydroa.2023.100156
   Aloui S, 2023, J ENVIRON MANAGE, V326, DOI 10.1016/j.jenvman.2022.116799
   Arnold J., 1994, SWAT SOIL WATER ASSE
   Asif Z, 2023, WATER RESOUR MANAG, V37, P2771, DOI 10.1007/s11269-023-03474-4
   Bieger K, 2017, J AM WATER RESOUR AS, V53, P115, DOI 10.1111/1752-1688.12482
   Chen DS, 2020, ECOSYST SERV, V43, DOI 10.1016/j.ecoser.2020.101117
   Chen SZ, 2023, J HYDROL, V616, DOI 10.1016/j.jhydrol.2022.128817
   Ding BB, 2024, J HYDROL, V632, DOI 10.1016/j.jhydrol.2024.130761
   Falkenmark M., 1995, Land and Water Integration and River Basin Management, V1, P15
   Fu SJ, 2023, ATMOS RES, V282, DOI 10.1016/j.atmosres.2022.106507
   Garcia C, 2024, SUSTAIN CITIES SOC, V112, DOI 10.1016/j.scs.2024.105616
   Güntner A, 2007, WATER RESOUR RES, V43, DOI 10.1029/2006WR005247
   Islam S.M. F., 2019, Desalination - Challenges and Opportunities, P1, DOI DOI 10.5772/INTECHOPEN.85919
   Jiang AN, 2024, J HYDROL, V639, DOI 10.1016/j.jhydrol.2024.131687
   Jin L, 2024, J HYDROL, V634, DOI 10.1016/j.jhydrol.2024.131117
   Kummu M, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/3/034006
   Lai GY, 2020, J HYDROL, V585, DOI 10.1016/j.jhydrol.2020.124778
   Liang SL, 2021, B AM METEOROL SOC, V102, pE323, DOI 10.1175/BAMS-D-18-0341.1
   Liang YN, 2021, SCI TOTAL ENVIRON, V801, DOI 10.1016/j.scitotenv.2021.149639
   Luo PP, 2020, J CLEAN PROD, V263, DOI 10.1016/j.jclepro.2020.121154
   Minhas PS, 2020, AGR WATER MANAGE, V227, DOI 10.1016/j.agwat.2019.105832
   Musie M, 2019, J HYDROL, V579, DOI 10.1016/j.jhydrol.2019.124168
   Nachtergaele F., 2023, Harmonized world soil database version 2.0, DOI [10.4060/cc3823-n, DOI 10.4060/CC3823-N]
   Patel P, 2019, ATMOS RES, V223, P39, DOI 10.1016/j.atmosres.2019.03.005
   Rodrigues DBB, 2014, WATER RESOUR RES, V50, P7187, DOI 10.1002/2013WR014274
   Schyns JF, 2015, HYDROL EARTH SYST SC, V19, P4581, DOI 10.5194/hess-19-4581-2015
   Shrestha NK, 2017, SCI TOTAL ENVIRON, V601, P425, DOI 10.1016/j.scitotenv.2017.05.013
   Tian Q, 2022, CATENA, V209, DOI 10.1016/j.catena.2021.105804
   Veettil AV, 2016, J HYDROL, V542, P589, DOI 10.1016/j.jhydrol.2016.09.032
   Wei MJ, 2022, SUSTAIN SCI, V17, P1385, DOI 10.1007/s11625-021-01046-2
   Yang Jie, 2021, Zenodo, DOI 10.5281/ZENODO.4417810
   Zhang K, 2015, SCI REP-UK, V5, DOI 10.1038/srep15956
   Zhang XQ, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-42512-4
NR 33
TC 0
Z9 0
U1 10
U2 10
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1470-160X
EI 1872-7034
J9 ECOL INDIC
JI Ecol. Indic.
PD DEC
PY 2024
VL 169
AR 112943
DI 10.1016/j.ecolind.2024.112943
PG 10
WC Biodiversity Conservation; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA O6M9T
UT WOS:001372256000001
OA gold
DA 2025-01-10
ER

PT J
AU Tavares, MF
   Gallo, P
   Nascimento, N
   Bauhus, J
   Brancalion, PHS
   Feurer, M
AF Tavares, Mayra F.
   Gallo, Patricia
   Nascimento, Nathalia
   Bauhus, Juergen
   Brancalion, Pedro H. S.
   Feurer, Melanie
TI Smallholders' perspectives, motivations, and incentives for restoring
   the Brazilian Atlantic Forest
SO RESTORATION ECOLOGY
LA English
DT Article
DE conservation policies; ecosystem restoration; incentives; smallholders;
   socio-ecological approach
ID LAND-USE; ECOSYSTEM RESTORATION; LANDSCAPE; LANDOWNERS; ADOPTION;
   DRIVERS; LESSONS; ECOLOGY
AB Ecosystem restoration, recognized as a critical strategy for climate change adaptation and mitigation, faces significant challenges in achieving widespread implementation. A particular facet of this challenge lies in the active involvement of rural landowners. Our study aimed to understand rural landowners' perspectives, motivations, and characteristics that influence their participation in restoration projects in the Atlantic Forest of southeastern Brazil. Qualitative content analysis was conducted on 68 semi-structured interviews with two groups of landowners: 36 who received support and 32 who did not receive project support from a local non-governmental organization to restore native forests on their landholdings. Approximately three-quarters of the sample are classified as smallholders (<80 ha). The main difference between the two groups is the dependence on agricultural production as the main source of income, with 22% of farmers in the supported group and 72% in the unsupported group. This socio-economic characteristic appeared to influence the decision to restore native forest. Farmers' focus tends to be linked to rural production, and the main obstacle to restoration was the loss of productive land. They usually allow natural forest regeneration to establish on slopes. The other type of landowner (lifestylers) mainly restored land through planting of seedlings, with the main barrier being the cost of restoration. Both groups had water conservation as their main motivation for restoration. Our study shows that understanding the perspectives and motivations of the diversity of rural landowners is crucial to effectively engage them and address the socio-economic feasibility of different restoration approaches.
C1 [Tavares, Mayra F.; Bauhus, Juergen; Feurer, Melanie] Univ Freiburg, Inst Forest Sci, Chair Silviculture, Freiburg, Germany.
   [Gallo, Patricia] TUD Dresden Univ Technol, Ctr Int Postgrad Studies Environm Management CIPSE, Dresden, Germany.
   [Nascimento, Nathalia; Brancalion, Pedro H. S.] Univ Sao Paulo, Luiz Queiroz Coll Agr, Dept Forest Sci, Piracicaba, SP, Brazil.
   [Brancalion, Pedro H. S.] Re green, Rio De Janeiro, Brazil.
   [Feurer, Melanie] Bern Univ Appl Sci, Bern, Switzerland.
C3 University of Freiburg; Universidade de Sao Paulo
RP Tavares, MF (corresponding author), Univ Freiburg, Inst Forest Sci, Chair Silviculture, Freiburg, Germany.
EM mayraflorestavares@gmail.com
RI Nascimento, Nathalia/ABQ-1236-2022; Brancalion, Pedro/D-6995-2012;
   Bauhus, Jurgen/G-4449-2013; Gallo, Patricia/AAD-4499-2019
OI Brancalion, Pedro/0000-0001-8245-4062; Bauhus,
   Jurgen/0000-0002-9673-4986; Nascimento, Nathalia/0000-0003-4819-0811;
   Flores Tavares, Mayra/0009-0000-8703-0058; Feurer,
   Melanie/0000-0002-7955-684X; Gallo, Patricia/0000-0003-4472-971X
FU Alexander von Humboldt Stiftung; University of Freiburg; Projekt DEAL
FX We acknowledge the financial support provided by the Alexander von
   Humboldt Stiftung (International Climate Protection Fellowship
   2022-2023), the University of Freiburg. We thank the Associacao
   Ambientalista Copaiba for research support and all the rural landowners
   interviewed. We thank F. F. Tavares for all your support with this
   paper. Open Access funding enabled and organized by Projekt DEAL.
CR [Anonymous], 2023, PROJETO MAPBIOMAS
   Aronson J, 2010, RESTOR ECOL, V18, P143, DOI 10.1111/j.1526-100X.2009.00638.x
   Associacao Ambientalista Copaiba, 2023, ASSOCIACAO AMBIENTAL
   Associao Ambientalista Copaba, 2023, PROJETO VERDE NOVO
   Associao Ambientalista Copaba, 2019, IMPORTNCIA FRAGMENTO
   Balderi F., 2020, PRIORIZAO REAS RESTA
   Baldwin C, 2017, J RURAL STUD, V51, P37, DOI 10.1016/j.jrurstud.2017.01.012
   Borda-Niño M, 2021, PERSPECT ECOL CONSER, V19, P338, DOI 10.1016/j.pecon.2021.04.001
   Brancalion PHS, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aav3223
   Brancalion PHS, 2019, BIOL CONSERV, V240, DOI 10.1016/j.biocon.2019.108274
   Brazil, 2012, LEI N 12651 MAIO PRE
   Ceccon E., 2020, FOREST LANDSCAPE RES, P11
   Censo Agropecurio do Estado de So Paulo, 2021, SO PAULO CATIIEASAA
   CEPAGRI (Centro de pesquisa meteorologicas e climaticas aplicadas a agricultura), 2021, CLIMATOLOGIA CAMPINA
   César RG, 2021, LAND-BASEL, V10, DOI 10.3390/land10010028
   Chazdon R, 2019, SCIENCE, V365, P24, DOI 10.1126/science.aax9539
   Chazdon RL, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab79e6
   Clewell AF, 2006, CONSERV BIOL, V20, P420, DOI 10.1111/j.1523-1739.2006.00340.x
   da Silva RFB, 2018, LAND-BASEL, V7, DOI 10.3390/land7040125
   DARNHOFER I., 2014, Encyclopedia of food and agricultural ethics, P710, DOI [10.1007/978-94-007-6167-486-3, DOI 10.1007/978-94-007-6167-486-3]
   de Mello K, 2018, CATENA, V167, P130, DOI 10.1016/j.catena.2018.04.027
   Durigan G, 2013, PHILOS T R SOC B, V368, DOI 10.1098/rstb.2012.0165
   Emtage N, 2012, LANDSCAPE URBAN PLAN, V107, P351, DOI 10.1016/j.landurbplan.2012.07.003
   Fagan ME, 2020, CONSERV LETT, V13, DOI 10.1111/conl.12700
   Fantini AC, 2019, FLORESTA AMBIENTE, V26, DOI 10.1590/2179-8087.069017
   Farmer JR, 2015, LANDSCAPE URBAN PLAN, V138, P11, DOI 10.1016/j.landurbplan.2015.01.005
   Ferraz SFB, 2021, HYDROL PROCESS, V35, DOI 10.1002/hyp.14317
   Fielding KS, 2016, FRONT PSYCHOL, V7, DOI 10.3389/fpsyg.2016.00121
   Fundao SOS Mata Atntica, 2018, ATLAS REMANESCENTES
   Galletta A., 2013, MASTERING SEMISTRUCT
   Gardon FR, 2024, LAND USE POLICY, V137, DOI 10.1016/j.landusepol.2023.107022
   Gonalves MDPM., 2017, POLMICA, V17, P37, DOI [10.12957/polemica.2017.28297, DOI 10.12957/POLEMICA.2017.28297]
   Greiner R, 2009, AGR SYST, V99, P86, DOI 10.1016/j.agsy.2008.10.003
   Greiner R, 2011, LAND USE POLICY, V28, P257, DOI 10.1016/j.landusepol.2010.06.006
   Guidotti V., 2017, Sustentabilidade em Debate, P1
   Gutierrez V., 2015, Unasylva (English ed.), V66, P99
   Hagger V, 2017, RESTOR ECOL, V25, P832, DOI 10.1111/rec.12503
   Holl KD, 2017, SCIENCE, V355, P455, DOI 10.1126/science.aam5432
   Honda Eliane Akiko, 2017, Hoehnea, V44, P315, DOI 10.1590/2236-8906-82/2016
   IBGE (Instituto Brasileiro de Geografia e Estastistica), 2022, PANORAMA SAO PAULO
   Jellinek S, 2019, J APPL ECOL, V56, P246, DOI 10.1111/1365-2664.13248
   Jones J, 2022, FOREST ECOL MANAG, V520, DOI 10.1016/j.foreco.2022.120342
   Koontz TM, 2001, SOC NATUR RESOUR, V14, P51, DOI 10.1080/089419201300199554
   Lara A, 2021, HYDROL PROCESS, V35, DOI 10.1002/hyp.14270
   Laurance WF, 2009, BIOL CONSERV, V142, P1137, DOI 10.1016/j.biocon.2008.10.011
   Lewinsohn T.M., 2005, Megadiversidade, V1, P36, DOI DOI 10.1111/J.1523-1739.2005.00680.X
   Lima FP, 2020, ECOSYST SERV, V44, DOI 10.1016/j.ecoser.2020.101121
   Liu TT, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10020432
   Löfqvist S, 2023, BIOSCIENCE, V73, P134, DOI 10.1093/biosci/biac099
   Lopes BS, 2022, FRONT WATER, V4, DOI 10.3389/frwa.2022.998349
   Mayring P., 2019, Forum: Qualitative Social Research, V20, P16, DOI DOI 10.17169/FQS-1.2.1089
   Ministry of Environment MMA, 2019, REDD BRAZILS NATIONA
   Molin PG, 2018, J APPL ECOL, V55, P2767, DOI 10.1111/1365-2664.13263
   Moon K, 2011, J RURAL STUD, V27, P331, DOI 10.1016/j.jrurstud.2011.04.001
   Santiago TMO, 2018, J FOREST ECON, V30, P38, DOI 10.1016/j.jfe.2017.12.001
   Patton M., 2015, Qualitative evaluation and research methods, V4
   Richards RC, 2020, FOREST POLICY ECON, V118, DOI 10.1016/j.forpol.2020.102235
   Richards RC, 2015, ECOSYST SERV, V16, P23, DOI 10.1016/j.ecoser.2015.09.002
   Rosenberg S, 2008, J ENVIRON PLANN MAN, V51, P477, DOI 10.1080/09640560802116962
   Schweizer D, 2019, FORESTS, V10, DOI 10.3390/f10070530
   Shennan-Farpon Y, 2022, PEOPLE NAT, V4, P462, DOI 10.1002/pan3.10297
   Soares B, 2014, SCIENCE, V344, P363, DOI 10.1126/science.1246663
   Sorice MG, 2014, J ENVIRON MANAGE, V133, P144, DOI 10.1016/j.jenvman.2013.11.029
   Tedesco AM, 2023, TRENDS ECOL EVOL, V38, P643, DOI 10.1016/j.tree.2023.02.007
   Tedesco AM, 2023, PHILOS T R SOC B, V378, DOI 10.1098/rstb.2021.0088
   World Conservation Union, 2020, OUTLOOK BOOSTING AMB
   Young CEF., 2021, ATLANTIC FOREST HIST, P451, DOI [10.1007/978-3-030-55322-721, DOI 10.1007/978-3-030-55322-721]
NR 67
TC 0
Z9 0
U1 4
U2 4
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1061-2971
EI 1526-100X
J9 RESTOR ECOL
JI Restor. Ecol.
PD NOV
PY 2024
VL 32
IS 8
DI 10.1111/rec.14270
EA SEP 2024
PG 12
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA L1S8H
UT WOS:001307660500001
OA hybrid
DA 2025-01-10
ER

PT J
AU Paul, LA
   McGranaghan, C
   Siders, AR
   Dineva, PK
   Palm-Forster, LH
   Messerb, KD
AF Paul, Laura A.
   McGranaghan, Christina
   Siders, A. R.
   Dineva, Polina K.
   Palm-Forster, Leah H.
   Messerb, Kent D.
TI Addressing coordination problems in residential buyouts: Experimental
   evidence for managed retreat in the face of climate change-related
   threats
SO JOURNAL OF ECONOMIC BEHAVIOR & ORGANIZATION
LA English
DT Article
DE Experimental economics; Climate change adaptation; Buyouts; Flooding;
   Agglomeration bonus; Reverse auction; Target constraint
ID AGGLOMERATION BONUS; REVERSE AUCTIONS; FLOOD RISK; PLACE ATTACHMENT;
   INFORMATION; PROVISION; COMMUNITY; PURCHASE; PERFORMANCE; INCENTIVES
AB Voluntary home buyouts can be an effective way to protect homeowners from severe and repeated flood risk while also benefiting the local community by creating flood control areas and reducing local infrastructure costs. Successful implementation of residential buyout programs is complicated by homeowners' (unobservable) attachment to place and community. In the presence of such preferences, standard posted price offers at fair market value are generally too low to induce a majority of homeowners to move, resulting in spatially fragmented (checker- boarded) buyout patterns, which can be troublesome from both a community and environmental perspective. To help resolve the resulting coordination problem, we experimentally test two acquisition mechanisms from the land conservation literature in the residential flood buyout context, posted price offers and reverse auctions, and pair them with two additional program features, agglomeration bonuses and target constraints (also known as provision points-a threshold required for the buyout to be implemented). Using an induced-value approach, we show that both reverse auctions and agglomeration bonuses are effective at increasing contiguity in this setting by inducing more homeowners to accept buyout offers and to move away from the neighborhood. However, reverse auctions have the advantage of being flexible enough to accommodate heterogeneity in place and community attachment. If external benefits are non-linearly increasing in the number of contiguous residential lots acquired, adding a target constraint to a reverse auction is a potential avenue for effective future buyouts.
C1 [Paul, Laura A.] US Dept Agr Econ Res Serv, Washington, DC 20250 USA.
   [McGranaghan, Christina; Siders, A. R.; Palm-Forster, Leah H.; Messerb, Kent D.] Univ Delaware, Delaware, OH USA.
   [Dineva, Polina K.] Lynker, NOAA Office for Coastal Management, Leesburg, VA USA.
C3 University of Delaware
RP Paul, LA (corresponding author), US Dept Agr Econ Res Serv, Washington, DC 20250 USA.
EM laura.paul@usda.gov
FU National Oceanic and Atmospheric Administration, U.S. Department of
   Commerce [R/RCE-17]; National Science Foundation EPSCoR Grant [1757353];
   State of Delaware; U.S. Department of Agriculture, Economic Research
   Service
FX This publication was made possible by the generous support of the
   Delaware Sea Grant under award R/RCE-17 from the National Oceanic and
   Atmospheric Administration, U.S. Department of Commerce; the National
   Science Foundation EPSCoR Grant No. 1757353; and the State of Delaware.
   The findings and conclusions in this manuscript are those of the authors
   and should not be construed to represent any official USDA or U.S.
   Government determination or policy. This paper was supported by the U.S.
   Department of Agriculture, Economic Research Service.
CR Acreman M, 2013, WETLANDS, V33, P773, DOI 10.1007/s13157-013-0473-2
   Ando Amy W., 2022, Land Econom
   Arnold MA, 2013, LAND ECON, V89, P387, DOI 10.3368/le.89.3.387
   Atreya A, 2013, LAND ECON, V89, P577, DOI 10.3368/le.89.4.577
   Bakkensen LA, 2022, REV FINANC STUD, V35, P3666, DOI 10.1093/rfs/hhab122
   Bakkensen LA, 2019, SOUTH ECON J, V85, P1132, DOI 10.1002/soej.12327
   Banerjee S, 2021, J ASSOC ENVIRON RESO, V8, P1013, DOI 10.1086/714601
   Banerjee S, 2018, AM J AGR ECON, V100, P1407, DOI 10.1093/ajae/aay064
   Banerjee S, 2018, AM J AGR ECON, V100, P172, DOI 10.1093/ajae/aax066
   Banerjee S, 2015, ENVIRON RESOUR ECON, V61, P409, DOI 10.1007/s10640-014-9798-4
   Banerjee S, 2014, AM J AGR ECON, V96, P1009, DOI 10.1093/ajae/aau048
   Banerjee S, 2012, ECOL ECON, V84, P142, DOI 10.1016/j.ecolecon.2012.09.005
   BenDor TK, 2020, NAT HAZARDS REV, V21, DOI 10.1061/(ASCE)NH.1527-6996.0000380
   Bin O, 2013, J ENVIRON ECON MANAG, V65, P361, DOI 10.1016/j.jeem.2012.12.002
   Binder SB, 2016, POLITICS GOV, V4, P97, DOI 10.17645/pag.v4i4.738
   Binder SB, 2015, AM J COMMUN PSYCHOL, V56, P180, DOI 10.1007/s10464-015-9727-x
   Brown B, 2003, J ENVIRON PSYCHOL, V23, P259, DOI 10.1016/S0272-4944(02)00117-2
   Cason TN, 2003, J ENVIRON ECON MANAG, V46, P446, DOI 10.1016/S0095-0696(03)00026-3
   Charlotte-Mecklenburg Storm Water Services, 2020, Floodplain acquisition and demolition address list
   Conte MN, 2023, REV ENV ECON POLICY, V17, P132, DOI 10.1086/724032
   Costanza R, 2008, AMBIO, V37, P241, DOI 10.1579/0044-7447(2008)37[241:TVOCWF]2.0.CO;2
   Curran-Groome W, 2022, LAND USE POLICY, V118, DOI 10.1016/j.landusepol.2022.106128
   de Vries D H., 2012, International Journal of Mass Emergencies Disasters, V30, P1, DOI DOI 10.1177/028072701203000101
   Dineva Polina, 2022, Dissertation
   Dineva PK, 2023, NAT HAZARDS REV, V24, DOI 10.1061/NHREFO.NHENG-1564
   Duke JM, 2017, STRATEG BEHAV ENVIRO, V7, P41, DOI 10.1561/102.00000073
   Duke JM, 2015, LAND USE POLICY, V48, P341, DOI 10.1016/j.landusepol.2015.05.023
   Dundon LA, 2021, J ENVIRON STUD SCI, V11, P420, DOI 10.1007/s13412-021-00691-4
   Elliott JR, 2020, SOCIUS, V6, DOI 10.1177/2378023120905439
   Falk A, 2023, MANAGE SCI, V69, P1935, DOI 10.1287/mnsc.2022.4455
   FEMA, 2015, HAZ MIT ASS GUID ADD
   Fooks JR, 2016, AM J AGR ECON, V98, P468, DOI 10.1093/ajae/aav061
   Fooks JR, 2015, LAND ECON, V91, P57, DOI 10.3368/le.91.1.57
   Harris County Community Services Department, 2020, Post Disaster Relocation and Buyout, P0
   Hellerstein DM, 2017, LAND USE POLICY, V63, P601, DOI 10.1016/j.landusepol.2015.07.017
   KASARDA JD, 1974, AM SOCIOL REV, V39, P328, DOI 10.2307/2094293
   Kick EL, 2011, DISASTERS, V35, P510, DOI 10.1111/j.1467-7717.2011.01226.x
   Kusnetz Shelley, 2022, Rutgers ecologist heads bold experiment in building climate-Resilient Coastal communities
   Landry C., 2022, Homeowner preferences for post-storm coastal adaptation: an application of choice experiments
   LataczLohmann U, 1997, AM J AGR ECON, V79, P407, DOI 10.2307/1244139
   Lewis D.A., 2012, Sea Grant Law and Policy Journal, V5, P98
   Mach KJ, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aax8995
   Messer KD, 2017, ECOL ECON, V134, P212, DOI 10.1016/j.ecolecon.2016.12.004
   Narayan S, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-09269-z
   Nguyen C, 2022, LAND USE POLICY, V114, DOI 10.1016/j.landusepol.2021.105936
   NY Governor's Office of Storm Recovery, 2022, NY rising buyout and acquisition program. Policy Manual
   NY Governor's Office of Storm Recovery, 2020, State of new york action plan incorporating amendments 8-26 for community development block grant-disaster recovery
   Oppenheimer M., 2019, IPCC Special Report on the Ocean and Cryosphere in a Changing Climate
   Ostrom E, 1998, AM POLIT SCI REV, V92, P1, DOI 10.2307/2585925
   Otto S., 2020, Journal of Agricultural and Resource Economics
   Palm-Forster L.H., 2021, Handbook of Agricultural Economics, P4331, DOI [10.1016/bs.hesagr.2021.10.006, DOI 10.1016/BS.HESAGR.2021.10.006]
   Parkhurst GM, 2002, ECOL ECON, V41, P305, DOI 10.1016/S0921-8009(02)00036-8
   Parkhurst GM, 2007, ECOL ECON, V64, P344, DOI 10.1016/j.ecolecon.2007.07.009
   Parkhurst GM, 2008, AM J AGR ECON, V90, P1192, DOI 10.1111/j.1467-8276.2008.01203.x
   Polasky S, 2014, P NATL ACAD SCI USA, V111, P6248, DOI 10.1073/pnas.1404484111
   Poppe M, 2005, J ECON PSYCHOL, V26, P431, DOI 10.1016/j.joep.2004.12.006
   Raymond CM, 2010, J ENVIRON PSYCHOL, V30, P422, DOI 10.1016/j.jenvp.2010.08.002
   Reeson AF, 2011, ECOL ECON, V70, P1621, DOI 10.1016/j.ecolecon.2011.03.022
   Reidmiller D. R., 2017, Impacts, risks, and adaptation in the United States, VII
   Robinson CS, 2018, INT J DISAST RISK RE, V31, P234, DOI 10.1016/j.ijdrr.2018.05.002
   Salvesen D., 2018, Are Floodplain Buyouts a Smart Investment for Local Governments?
   Schilizzi S, 2007, LAND ECON, V83, P497, DOI 10.3368/le.83.4.497
   Schilizzi SGM, 2017, LAND USE POLICY, V63, P572, DOI 10.1016/j.landusepol.2015.06.035
   Sell J, 2014, LABORATORY EXPERIMENTS IN THE SOCIAL SCIENCES, 2ND EDITION, P225, DOI 10.1016/B978-0-12-404681-8.00010-8
   Siders A., 2013, Managed coastal retreat: A legal handbook on shifting development away from vulnerable areas
   Siders AR, 2019, CLIMATIC CHANGE, V152, P239, DOI 10.1007/s10584-018-2272-5
   Siders A.R., 2021, University of Delaware DRC Final Project Reports 63
   Spidalieri Katie., 2020, Georgetown Climate Center
   Sun FL, 2020, P NATL ACAD SCI USA, V117, P5719, DOI 10.1073/pnas.1915169117
   Taylor CA, 2022, AM ECON REV, V112, P1334, DOI 10.1257/aer.20210497
   Thomas H, 2007, WATER ENVIRON J, V21, P114, DOI 10.1111/j.1747-6593.2006.00056.x
   Urban Land Institute, 2021, New jersey blue acres buyout program
   US Department of the Interior, 2022, Biden-harris administration makes $135 million commitment to support relocation of tribal communities affected by climate change
   Warziniack T, 2007, J FOREST ECON, V13, P191, DOI 10.1016/j.jfe.2007.02.009
   Zavar E., 2015, Evolving Approaches to Understanding Natural Hazards, P458
   Zavar E, 2016, DISASTER PREV MANAG, V25, P360, DOI 10.1108/DPM-01-2016-0021
NR 76
TC 0
Z9 0
U1 1
U2 1
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0167-2681
EI 1879-1751
J9 J ECON BEHAV ORGAN
JI J. Econ. Behav. Organ.
PD OCT
PY 2024
VL 226
AR 106670
DI 10.1016/j.jebo.2024.07.008
EA AUG 2024
PG 18
WC Economics
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA E2R6V
UT WOS:001301529000001
DA 2025-01-10
ER

PT J
AU Parra-Paitan, C
   Meyfroidt, P
   Verburg, PH
   zu Ermgassen, EKHJ
AF Parra-Paitan, Claudia
   Meyfroidt, Patrick
   Verburg, Peter H.
   zu Ermgassen, Erasmus K. H. J.
TI Deforestation and climate risk hotspots in the global cocoa value chain
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Deforestation; Climate change; Sustainability risks; Cocoa; Value chain;
   Traders
ID WEST-AFRICA; GOVERNANCE; DRIVERS
AB In this study, we produced a spatially explicit diagnosis of the deforestation hotspots and future climate risk (2050) of cocoa producing areas, zooming into the top 8 cocoa exporting countries and the main global cocoa traders. Cocoa-driven deforestation often co-occurs with deforestation driven by other agri-commodities, and thus needs to be tackled jointly. Climate risk will be substantially increased in Cote d'Ivoire and Ghana, the two most important suppliers of cocoa, which may lead to supply failures and severe socio-economic impacts if left unaddressed. Climate risk and deforestation have a high spatial variability between and within countries, calling for geographically differentiated approaches to mitigation and adaptation. Large transnational traders depending heavily on West African supplies, as well as the regionally based exporting farmer cooperatives and domestic firms, will be affected by the increased climate risk in that region. Traders operating in Latin America and Southeast Asia might only face a modest increase in climate risk, with subregional exceptions. These results raise concerns about the validity of sustainability commitments made by companies and other sector initiatives, which focus on single commodities and fail to consider the diversity of actors adding pressure on landscapes. Tackling these issues requires a collaborative effort from various sectors and stakeholders involved in land use decisions to prevent the geographical displacement of negative impacts, prioritize urgent action, and implement these changes efficiently and in a coordinated manner. Further, sustainability commitments often neglect climate change adaptation, with agroforestry and climate smart agriculture initiatives primarily focusing on carbon reductions and increased farmer income, paying less attention to farm practices that reduce cocoa vulnerability.
C1 [Parra-Paitan, Claudia; Verburg, Peter H.] Vrije Univ Amsterdam VU, Inst Environm Studies IVM, De Boelelaan 1111, NL-1081 HV Amsterdam, Netherlands.
   [Meyfroidt, Patrick; zu Ermgassen, Erasmus K. H. J.] UCLouvain, Earth & Life Inst, B-1348 Louvain La Neuve, Belgium.
   [Meyfroidt, Patrick; zu Ermgassen, Erasmus K. H. J.] Fonds Rech Sci FRS FNRS, B-1000 Brussels, Belgium.
   [Verburg, Peter H.] Swiss Fed Res Inst WSL, Zurcherstr 111, CH-8903 Birmensdorf, Switzerland.
C3 Universite Catholique Louvain; Fonds de la Recherche Scientifique -
   FNRS; Swiss Federal Institutes of Technology Domain; Swiss Federal
   Institute for Forest, Snow & Landscape Research
RP Parra-Paitan, C (corresponding author), Vrije Univ Amsterdam VU, Inst Environm Studies IVM, De Boelelaan 1111, NL-1081 HV Amsterdam, Netherlands.
EM claudiaparrapa@gmail.com; patrick.meyfroidt@uclouvain.be;
   p.h.verburg@vu.nl; erasmus.zuermgassen@uclouvain.be
RI Verburg, Peter/Z-1582-2019; Meyfroidt, Patrick/G-7768-2012; Verburg,
   Peter/A-8469-2010
OI Meyfroidt, Patrick/0000-0002-1047-9794; Verburg,
   Peter/0000-0002-6977-7104
FU Marie Sklodowska-Curie Actions (MSCA) from the European Commission:
   COUPLED "Operationalising Telecouplings for Solving Sustainability
   Challenges for Land Use" [765408]
FX This work was funded by the Marie Sklodowska-Curie Actions (MSCA) grant
   agreement No 765408 from the European Commission: COUPLED
   "Operationalising Telecouplings for Solving Sustainability Challenges
   for Land Use".
CR Abu IO, 2021, ECOL INDIC, V129, DOI 10.1016/j.ecolind.2021.107863
   [Anonymous], 2022, Just and sustainable economy: Commission lays down rules for companies to respect human rights and environment in global value chains [Text]
   [Anonymous], 2016, Confectionery News
   Bermudez S., 2022, Glob. Mark. Report. Cocoa Prices. Sustain
   Blaser WJ, 2018, NAT SUSTAIN, V1, P234, DOI 10.1038/s41893-018-0062-8
   Boshoven J, 2021, CONSERV SCI PRACT, V3, DOI 10.1111/csp2.383
   Buckley KJ, 2019, WORLD DEV, V121, P203, DOI 10.1016/j.worlddev.2018.07.019
   Callebaut Barry, 2022, Barry Callebaut establishes Farm of the Future in Ecuador
   Carodenuto S, 2019, ENVIRON POLICY GOV, V29, P55, DOI 10.1002/eet.1841
   Carodenuto S, 2015, FORESTS, V6, P203, DOI 10.3390/f6010203
   Ceccarelli V, 2021, DIVERS DISTRIB, V27, P1462, DOI 10.1111/ddi.13294
   Curtis PG, 2018, SCIENCE, V361, P1108, DOI 10.1126/science.aau3445
   Ercin E, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-23584-0
   European Commission, 2021, PROPOSAL REGULATION, DOI [10.4324/9781849776110-28, DOI 10.4324/9781849776110-28]
   Finer M, 2018, SCIENCE, V360, P1303, DOI 10.1126/science.aat1203
   Fountain A.C., 2020, Cocoa Barom
   Gateau-Rey L, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0200454
   Goldman ED., 2020, Estimating the role of seven commodities in agriculture-linked deforestation: Oil palm, soy, cattle, wood fiber, cocoa, coffee, and rubber, DOI DOI 10.46830/WRITN.NA.00001
   Grabs J, 2021, BUS STRATEG ENVIRON, V30, P1314, DOI 10.1002/bse.2686
   Hanson MA, 2012, SCIENCE, V335, P851, DOI [10.1126/science.1244693, 10.1126/science.1215904]
   Igawa TK, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0262729
   International Food Policy Research Institute, 2019, HarvardDataverse, V3
   Kalischek N., 2022, Satell. -Based High. -Resolut. maps cocoa C. o^te D. 'Ivoire Ghana.
   Kan SY, 2023, ONE EARTH, V6, DOI 10.1016/j.oneear.2022.12.006
   Kummu M, 2020, GLOB FOOD SECUR-AGR, V24, DOI 10.1016/j.gfs.2020.100360
   Läderach P, 2013, CLIMATIC CHANGE, V119, P841, DOI 10.1007/s10584-013-0774-8
   Lahive F, 2019, AGRON SUSTAIN DEV, V39, DOI 10.1007/s13593-018-0552-0
   Lambin EF, 2018, NAT CLIM CHANGE, V8, P109, DOI 10.1038/s41558-017-0061-1
   Leijten F, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab8158
   Levy SA, 2023, GLOBAL ENVIRON CHANG, V80, DOI 10.1016/j.gloenvcha.2023.102671
   Malek Z, 2022, ONE EARTH, V5, P917, DOI 10.1016/j.oneear.2022.07.008
   Maney C, 2022, AGR ECOSYST ENVIRON, V324, DOI 10.1016/j.agee.2021.107712
   Meyfroid P, 2018, GLOBAL ENVIRON CHANG, V53, P52, DOI 10.1016/j.gloenvcha.2018.08.006
   Mondelez International, 2021, Partnership with Olam to create largest sustainable commercial cocoa farm
   Niether W, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/abb053
   Oliveira E, 2021, J LAND USE SCI, V16, P479, DOI 10.1080/1747423X.2021.2015471
   Parra-Paitan C, 2023, GLOBAL ENVIRON CHANG, V81, DOI 10.1016/j.gloenvcha.2023.102696
   Parra-Paitan C, 2022, SCI TOTAL ENVIRON, V825, DOI 10.1016/j.scitotenv.2022.154032
   Pendrill F, 2022, SCIENCE, V377, P1168, DOI 10.1126/science.abm9267
   Potapov P, 2022, NAT FOOD, V3, P19, DOI 10.1038/s43016-021-00429-z
   Puma MJ, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/2/024007
   Renier C, 2023, ENVIRON RES LETT, V18, DOI 10.1088/1748-9326/acad8e
   Sassen M, 2022, LAND USE POLICY, V119, DOI 10.1016/j.landusepol.2022.106142
   Schaeffer R, 2005, SCIENCE, V307, P1046, DOI 10.1126/science.307.5712.1046
   Schroth G, 2016, SCI TOTAL ENVIRON, V556, P231, DOI 10.1016/j.scitotenv.2016.03.024
   Staal A, 2018, NAT CLIM CHANGE, V8, P539, DOI 10.1038/s41558-018-0177-y
   Stokeld E, 2020, CLIMATIC CHANGE, V162, P175, DOI 10.1007/s10584-020-02857-5
   Tennhardt L, 2022, ECOL ECON, V197, DOI 10.1016/j.ecolecon.2022.107428
   Tropical Forest Alliance Proforest and CDP, 2023, Company Landscape Engagement for Cocoa Sustainability: Progress and the Path Forward
   von Essen M, 2021, FRONT ECOL ENVIRON, V19, P159, DOI 10.1002/fee.2299
   Wahba J., 2020, ISCO Scorecard. Ranking & grading public-private platforms for sustainable cocoa
   Zu Ermgassen EKHJ, 2022, SCI ADV, V8, DOI 10.1126/sciadv.abn3132
   zu Ermgassen EKHJ, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab6497
NR 53
TC 1
Z9 1
U1 5
U2 6
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 1462-9011
EI 1873-6416
J9 ENVIRON SCI POLICY
JI Environ. Sci. Policy
PD AUG
PY 2024
VL 158
AR 103796
DI 10.1016/j.envsci.2024.103796
EA JUN 2024
PG 9
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA UX2S8
UT WOS:001251305400001
OA hybrid
DA 2025-01-10
ER

PT J
AU Khaliq, MN
AF Khaliq, Muhammad Naveed
TI Estimation of instantaneous peak flows in Canadian rivers: an evaluation
   of conventional, nonlinear regression, and machine learning methods
SO WATER SCIENCE AND TECHNOLOGY
LA English
DT Article
DE design flow magnitudes; fusion modeling; instantaneous peak flows;
   machine learning; missing values; multiple regression
AB Instantaneous peak flows (IPFs) are often required to derive design values for sizing various hydraulic structures, such as culverts, bridges, and small dams/levees, in addition to informing several water resources management-related activities. Compared to mean daily flows (MDFs), which represent averaged flows over a period of 24 h, information on IPFs is often missing or unavailable in instrumental records. In this study, conventional methods for estimating IPFs from MDFs are evaluated and new methods based on the nonlinear regression framework and machine learning architectures are proposed and evaluated using streamflow records from all Canadian hydrometric stations with natural and regulated flow regimes. Based on a robust model selection criterion, it was found that multiple methods are suitable for estimating IPFs from MDFs, which precludes the idea of a single universal method. The performance of machine learning-based methods was also found reasonable compared to conventional and regression-based methods. To build on the strengths of individual methods, the fusion modeling concept from the machine learning area was invoked to synthesize outputs of multiple methods. The study findings are expected to be useful to the climate change adaptation community, which currently heavily relies on MDFs simulated by hydrologic models. HIGHLIGHTS center dot New methods for estimating instantaneous peak flows from mean daily flows. center dot Data completion by filling in missing values of instantaneous peak flows. center dot Reliable estimation of design flood magnitudes. center dot Machine learning inspired fusion modeling to synthesize outputs of multiple methods. center dot Fulfilled a critical need of the climate change impact analysis and adaptation community.
C1 [Khaliq, Muhammad Naveed] Natl Res Council Canada, Ocean Coastal & River Engn Res Ctr, Ottawa, ON K1A 0R6, Canada.
C3 National Research Council Canada
RP Khaliq, MN (corresponding author), Natl Res Council Canada, Ocean Coastal & River Engn Res Ctr, Ottawa, ON K1A 0R6, Canada.
EM muhammad.khaliq@nrc-cnrc.gc.ca
FU National Research Council Canada's Climate Resilient Built Environment
FX This work was completed within the framework of National Research
   Council Canada's Climate Resilient Built Environment (CRBE) initiative,
   which is funded through Infrastructure Canada (INFC). The financial
   support of INFC and the leadership of CRBE are gratefully acknowledged.
   All data analyses were performed on the R computing platform. The
   helpful comments of three anonymous referees and editors are very much
   appreciated.
CR AKAIKE H, 1974, IEEE T AUTOMAT CONTR, VAC19, P716, DOI 10.1109/TAC.1974.1100705
   Bonakdari H., 2022, Stochastic Modeling, P187, DOI [DOI 10.1016/B978-0-323-91748-3.00003-3, 10.1016/B978-0-323-91748-3.00003-3]
   Brewer MJ, 2016, METHODS ECOL EVOL, V7, P679, DOI 10.1111/2041-210X.12541
   Burnham K. P., 2002, Model selection and inference: a practical informationtheoretic approach, VSecond edition
   Burnham KP, 2004, SOCIOL METHOD RES, V33, P261, DOI 10.1177/0049124104268644
   Chattopadhyay G, 2019, J ATMOS SOL-TERR PHY, V184, P57, DOI 10.1016/j.jastp.2019.01.008
   Chen B, 2017, HYDROL RES, V48, P1474, DOI 10.2166/nh.2017.200
   Creager W. P., 1945, ENG FOR DAMS, V1
   Dastorani MT, 2013, J HYDROINFORM, V15, P1089, DOI 10.2166/hydro.2013.245
   ECCC, 2023, NATL WATER DATA ARCH
   Ellis W., 1966, CAN AGR ENG, P1
   Fill HD, 2003, J HYDROL ENG, V8, P365, DOI 10.1061/(ASCE)1084-0699(2003)8:6(365)
   Helsel D.R., 2002, STAT METHODS WATER R, V4
   HURVICH CM, 1989, BIOMETRIKA, V76, P297, DOI 10.1093/biomet/76.2.297
   Jimeno-Sáez P, 2017, WATER-SUI, V9, DOI 10.3390/w9050347
   Khaliq M. N., 2023, ANN C CANADIAN SOC C
   Langbein W., 1944, WATER RESOUR B, P145
   Lantz B., 2015, MACHINE LEARNING R, DOI [10.1007/978-981-10-6808-9, DOI 10.1007/978-981-10-6808-9]
   Maier HR, 2010, ENVIRON MODELL SOFTW, V25, P891, DOI 10.1016/j.envsoft.2010.02.003
   NEILL CR, 1986, CAN J CIVIL ENG, V13, P255, DOI 10.1139/l86-034
   R Core Team, 2023, R LANG ENV STAT COMP
   Refshaard J. C., 1995, Computer models of watershed hydrology., P809
   Sangal B. P., 1977, MAGNITUDE FREQUENCY, P349
   Sangal B. P., 1981, PRACTICAL METHOD EST, P247
   Singh V.P., 2002, MATH MODELS SMALL WA
   Stocker, 2014, CLIMATE CHANGE 2013
   Teufel B, 2021, WATER-SUI, V13, DOI 10.3390/w13111494
   Walpole R.E., 2012, Probability and statistics for engineers and scientists, V9th ed.
   Watt W. E., 1989, HYDROLOGY FLOODS CAN, P263
   Wolfs V, 2014, ENVIRON MODELL SOFTW, V55, P107, DOI 10.1016/j.envsoft.2014.01.021
NR 30
TC 1
Z9 1
U1 2
U2 4
PU IWA PUBLISHING
PI LONDON
PA REPUBLIC-EXPORT BLDG, UNITS 1 04 & 1 05, 1 CLOVE CRESCENT, LONDON,
   ENGLAND
SN 0273-1223
EI 1996-9732
J9 WATER SCI TECHNOL
JI Water Sci. Technol.
PD MAY 1
PY 2024
VL 89
IS 9
BP 2225
EP 2239
DI 10.2166/wst.2024.096
EA APR 2024
PG 15
WC Engineering, Environmental; Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology; Water Resources
GA QT0Y5
UT WOS:001203489500001
PM 38747946
OA gold
DA 2025-01-10
ER

PT J
AU Downes, NK
   Storch, H
   Viet, PQ
   Diem, NK
   Dinh, L
AF Downes, Nigel K.
   Storch, Harry
   Viet, Pham Quoc
   Diem, Nguyen Kieu
   Dinh, Le Canh
TI Assessing Peri-Urbanisation and Urban Transitions between 2010 and 2020
   in Ho Chi Minh City using an Urban Structure Type Approach
SO URBAN SCIENCE
LA English
DT Article
DE Ho Chi Minh City; urbanisation; peri-urbanisation; urban structure
   types; rural-urban transition; sustainable urban development
ID CLIMATE-CHANGE ADAPTATION; SEA-LEVEL RISE; SOUTHEAST-ASIA; SUSTAINABLE
   DEVELOPMENT; LAND; VIETNAM; EXPANSION; MEGACITIES; DYNAMICS; MARKET
AB This paper contributes to the understanding of the recent urban development of Ho Chi Minh City, Vietnam. Previous studies have aimed at quantifying the city's spatial growth yet have disregarded its inherent morphological and socio-economic heterogeneity. To overcome this knowledge gap, we employ an urban structure type approach for the spatially explicit quantification of urbanisation patterns for the period 2010-2020, categorising 77,000 blocks across the entire administrative area of 2095 km(2). The approach allows us to understand the basic underlying processes of urbanisation, both quantitatively and qualitatively, and the main growth corridors along the rural-urban gradient. By contextualizing and combining our findings within current literature and official planning reports, we discern between traditional urban growth and the contemporary new town development patterns, highlighting their driving forces and policy implications. Incremental plot-by-plot development along the northwest development corridor is observed as the principal mode of urban development, whilst bypass urbanisation is seen along both the eastern and southern development corridors. Our block-based results highlight the city's key growth challenges and provide insights on a scale that is meaningful for official spatial and infrastructure planning, and periodic analysis and monitoring. As far as the authors are aware, this is the first time that an urban structure type approach was applied to understand the rapid urban growth dynamics of an emerging megacity in Southeast Asia.
C1 [Downes, Nigel K.; Diem, Nguyen Kieu] Can Tho Univ, Coll Environm & Nat Resources, Can Tho 92000, Vietnam.
   [Storch, Harry; Viet, Pham Quoc] Deutsch Gesell Internatl Zusammenarbeit GIZ GmbH, Can Tho 92000, Vietnam.
   [Dinh, Le Canh] Sub Natl Inst Agr Planning & Project Sub NIAPP, Ho Chi Minh City 70000, Vietnam.
C3 Can Tho University
RP Downes, NK (corresponding author), Can Tho Univ, Coll Environm & Nat Resources, Can Tho 92000, Vietnam.
EM nkdownes@ctu.edu.vn; nkdiem@ctu.edu.vn
OI Downes, Nigel/0000-0002-5570-5724; Nguyen, Diem Kieu/0000-0002-8785-1056
FU Integrative Urban and Environmental Planning for Adaptation of Ho Chi
   Minh City to Climate Change
FX We thank the anonymous reviewers for their constructive feedback.
CR Acolin A., 2017, Seeing Informal Settlements: The Policy Implications of Different Techniques to Identify Urban Growth Patterns from Satellite Imagery Using the Case of Informal Construction in Ho Chi Minh City
   Acolin A, 2022, ENVIRON PLAN B-URBAN, V49, P151, DOI 10.1177/2399808321998708
   Ahani S, 2021, HABITAT INT, V114, DOI 10.1016/j.habitatint.2021.102387
   Ahmed I, 2010, OPEN HOUSE INT, V35, P56
   Airgood-Obrycki W, 2021, J URBAN AFF, V43, P1263, DOI 10.1080/07352166.2020.1727294
   Angelo H, 2020, URBAN STUD, V57, P2201, DOI 10.1177/0042098020919081
   Cao A, 2021, CURR OPIN ENV SUST, V50, P87, DOI 10.1016/j.cosust.2021.02.010
   Hoang AT, 2019, URBAN SCI, V3, DOI 10.3390/urbansci3010037
   [Anonymous], Decree, No. 42/2009/ND-CP of the Government: On urban classification
   [Anonymous], Decision 263/QD-TTg 2022 National Target Program for Building New Rural Areas
   [Anonymous], 2011, Vietnam Urbanization Review: Technical Assistance Report (English)
   [Anonymous], Resolution 1210/2016/UBTVQH13 Classifies Urban Areas
   [Anonymous], 2018, Resolution 80/NQ-CP 2018 Adjusting Land Use Planning of Ho Chi Minh City
   [Anonymous], 2010, Summary Report
   [Anonymous], Decree 64/2012/ND-CP Granting Construction Permits
   [Anonymous], LawNet Resolution No. 06-NQ/TW Dated January 24, 2022 on Planning, Construction, Management, and Sustainable Development of Urban Areas in Vietnam Til 2030, with a Vision toward 2045 06-NQ/TW, Ngh Quyt 06-NQ2022
   [Anonymous], Decree, No. 62/2011/ND-CP on the Establishment of Provincial Cities, Towns, Urban in Vietnam
   Arouri M, 2017, ECON MODEL, V60, P253, DOI 10.1016/j.econmod.2016.09.022
   Bagan H, 2012, REMOTE SENS ENVIRON, V127, P210, DOI 10.1016/j.rse.2012.09.011
   Balk DL, 2019, LANDSCAPE URBAN PLAN, V187, P199, DOI 10.1016/j.landurbplan.2018.07.009
   Birkmann J, 2010, SUSTAIN SCI, V5, P185, DOI 10.1007/s11625-010-0111-3
   Bolay JC, 1997, HABITAT INT, V21, P185, DOI 10.1016/S0197-3975(97)89956-0
   Braun A, 2023, LAND-BASEL, V12, DOI 10.3390/land12101885
   Calka B, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14051074
   Carter JG, 2018, CITIES, V77, P73, DOI 10.1016/j.cities.2018.01.014
   Chakraborty S, 2022, CITIES, V131, DOI 10.1016/j.cities.2022.103919
   Chakraborty S, 2022, HABITAT INT, V120, DOI 10.1016/j.habitatint.2021.102503
   Chen GZ, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-14386-x
   Coit K, 1998, HABITAT INT, V22, P273, DOI 10.1016/S0197-3975(98)00011-3
   Cvetinovic M, 2017, GEOFORUM, V82, P141, DOI 10.1016/j.geoforum.2017.03.010
   d'Amour CB, 2017, P NATL ACAD SCI USA, V114, P8939, DOI 10.1073/pnas.1606036114
   Dang N.A., 2008, Mega-Urban Regions in Pacific-Asia: Urban Dynamics in a Global Era, P185
   Dapice D., 2009, Ho Chi Minh City: the challenges of growth
   Diez J.R., 1995, Systemtransformation in Vietnam: Industrieller Strukturwandel und Regionalwirtschaftliche Auswirkungen
   Minh DHT, 2015, REMOTE SENS-BASEL, V7, P8543, DOI 10.3390/rs70708543
   Do ANT, 2024, INT J ENVIRON SCI TE, V21, P3005, DOI 10.1007/s13762-023-05118-x
   Doan VQ, 2018, INT J CLIMATOL, V38, P4155, DOI 10.1002/joc.5559
   Douglass M, 2007, INT J ASIA PAC STUD, V3, P1
   Downes N.K., 2019, Ph.D. Thesis
   Downes N K., 2016, Sustainable Ho Chi Minh City: Climate Policies for Emerging Mega Cities, P89, DOI DOI 10.1007/978-3-319-04615-0_6
   Downes NK, 2014, PLAN PRACT RES, V29, P220, DOI 10.1080/02697459.2014.929835
   Huynh D, 2015, HABITAT INT, V48, P11, DOI 10.1016/j.habitatint.2015.03.007
   Duffy CE, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12244130
   Duy PN, 2018, INT J CLIM CHANG STR, V10, P197, DOI 10.1108/IJCCSM-12-2016-0169
   en.sggp.org, Plans to Revive Northwest Urban Area in HCMC
   Faltmann NK, 2023, FOOD CULT SOC, V26, P927, DOI 10.1080/15528014.2022.2142753
   Fan PL, 2019, LANDSCAPE URBAN PLAN, V187, P145, DOI 10.1016/j.landurbplan.2018.10.014
   Farias I., 2011, City, V15, P365, DOI [10.1080/13604813.2011.595110, DOI 10.1080/13604813.2011.595110]
   Farias I., 2011, Urban Assemblages: How Actor-Network Theory Changes Urban Studies
   Follmann A, 2023, REG STUD, V57, P447, DOI 10.1080/00343404.2022.2095365
   Follmann A, 2021, LANDSCAPE URBAN PLAN, V215, DOI 10.1016/j.landurbplan.2021.104186
   FORBES D, 1995, ENVIRON PLANN A, V27, P793, DOI 10.1068/a270793
   Friedmann J, 2011, PAC AFF, V84, P425, DOI 10.5509/2011843425
   General Statistics Office, 2020, Vietnam Population Projection for the Period 2019-2069
   Gibert M., 2016, NEWSLETTER, V73, P32
   Gibert M., 2014, Unpublished Ph.D. Thesis
   Gibert M, 2018, ENVIRON PLANN A, V50, P589, DOI 10.1177/0308518X17751230
   Gibert-Flutre M., 2020, EchoGeo, DOI [10.4000/echogeo.22079, DOI 10.4000/ECHOGEO.22079]
   Goldblatt R., 2018, DEV ENG, V3, P83, DOI DOI 10.1016/J.DEVENG.2018.03.001
   Gomes E, 2019, ECOL INDIC, V97, P380, DOI 10.1016/j.ecolind.2018.10.025
   Government of Vietnam, 2010, Decision No. 24/QD-TTg of the Prime Minister of Government Dated January 06, 2010 on Approving the Adjustment of the General Planning of Ho Chi Minh City Construction to 2025
   Government of Vietnam, 2012, Vietnam's Sustainable Development Strategy for the Period 2011-2020 (Decision No 432/QD-TTg, 12/04/2012)
   Government of Vietnam, 2021, (1528/QD-TTg 2021) Decision No. 1528/QD-TTg of the Prime Minister of Government Dated September 14, 2021 Approving the Adjustment Mission of the Ho Chi Minh City Master Plan to 2040, with a Vision toward 2060)
   Gubry P., 2010, VIETNAMESE CITY TRAN
   Guneralp B, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab6669
   Ha H., 1999, GEOJOURNAL, V49, P301, DOI [10.1023/A:1007192709155, DOI 10.1023/A:1007192709155]
   Harish TV, 2023, NAT HAZARD EARTH SYS, V23, P1125, DOI 10.5194/nhess-23-1125-2023
   Harms E, 2016, ASIA-LOCAL STUD GLOB, P1, DOI 10.1525/luminos.20
   Harms Erick., 2011, Saigon's Edge: On the Margins of Ho Chi Minh City
   Hawken S, 2021, CITIES, V113, DOI 10.1016/j.cities.2020.103068
   Ho Chi Minh City Statistical Office, 2020, Statistical Yearbook of Ho Hi Minh City 2020
   Ho L.P., 2008, P 11 INT C URBAN DRA
   Hong N, 2023, URBAN RES PRACT, V16, P582, DOI 10.1080/17535069.2022.2055971
   Nguyen HTB, 2022, INT J HOUS MARK ANAL, V15, P895, DOI 10.1108/IJHMA-05-2021-0060
   Dang HT, 2020, BUILDINGS-BASEL, V10, DOI 10.3390/buildings10030040
   Hutchings P, 2022, NAT SUSTAIN, V5, P924, DOI 10.1038/s41893-022-00920-w
   Huynh D., 2015, INT J SUSTAINABLE BU, V4, P125, DOI DOI 10.1016/J.IJSBE.2015.03.005
   Jordan C, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-53804-z
   Jung S, 2013, HABITAT INT, V39, P105, DOI 10.1016/j.habitatint.2012.11.003
   Karaman O, 2020, ANTIPODE, V52, P1122, DOI 10.1111/anti.12626
   Katzschner A., 2023, Climate Change and Cooling Cities, P115
   Katzschner A., 2016, Sustainable Ho Chi Minh City: Climate Policies for Emerging Mega Cities, P5
   KATZSCHNER L, 1988, ENERG BUILDINGS, V11, P137, DOI 10.1016/0378-7788(88)90030-8
   Kim D., 2016, J KOREAN I INTERIOR, V25, P101
   Kim Hun Kee., 2017, Speculating on World-Class Transportation Infrastructure in Ho Chi Minh City
   Kim HM, 2024, ASIAN GEOGR, V41, P167, DOI 10.1080/10225706.2023.2244946
   Kontgis C, 2014, APPL GEOGR, V53, P377, DOI 10.1016/j.apgeog.2014.06.029
   Kuenzer C, 2013, APPL GEOGR, V45, P167, DOI 10.1016/j.apgeog.2013.08.012
   Labbé D, 2016, CITIES, V53, P150, DOI 10.1016/j.cities.2015.11.003
   Labbé D, 2014, URBAN STUD, V51, P1146, DOI 10.1177/0042098013495574
   Lasage R, 2014, NAT HAZARD EARTH SYS, V14, P1441, DOI 10.5194/nhess-14-1441-2014
   Latour B, 1996, SOZ WELT, V47, P369
   Binh LTH, 2019, HYDROLOG SCI J, V64, P318, DOI 10.1080/02626667.2019.1581363
   Ngo LM, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12093743
   Leaf M, 2015, DESIGN OF FRONTIER SPACES: CONTROL AND AMBIGUITY, P193
   Leitold R, 2019, J MAPS, V15, P13, DOI 10.1080/17445647.2018.1548385
   Lerner AM, 2011, GEOGR J, V177, P311, DOI 10.1111/j.1475-4959.2010.00394.x
   Li CP, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132413518
   Li MM, 2019, HABITAT INT, V94, DOI 10.1016/j.habitatint.2019.102069
   Mahtta R, 2022, NPJ URBAN SUSTAIN, V2, DOI 10.1038/s42949-022-00048-y
   Martin V., 2001, Bauwelt, V92, P30
   Marwal A, 2023, NPJ URBAN SUSTAIN, V3, DOI 10.1038/s42949-023-00112-1
   Matsumura S., 2017, Urban Reg. Plan. Rev, V4, P58
   Moon K.D., 2009, P 45 ISOCARP C
   Musil C., PADDIWorking Papers
   Ngo LM, 2018, IOP C SER EARTH ENV, V143, DOI 10.1088/1755-1315/143/1/012060
   Ngo L.M., 2023, Urban Transformational Landscapes in the City-Hinterlands of Asia: Challenges and Approaches, P325
   Nguyen Q, 2019, LAND USE POLICY, V83, P95, DOI 10.1016/j.landusepol.2019.01.038
   Nicholls RJ, 2008, SUSTAIN SCI, V3, P89, DOI 10.1007/s11625-008-0050-4
   Nong DH, 2021, ENVIRON URBAN ASIA, V12, P156, DOI 10.1177/0975425321997785
   Novotny J, 2022, HABITAT INT, V129, DOI 10.1016/j.habitatint.2022.102676
   Pang M, 2022, ENVIRON PLAN B-URBAN, V49, P1757, DOI 10.1177/23998083211066105
   Pham LTH, 2019, REMOTE SENS APPL, V13, P298, DOI 10.1016/j.rsase.2018.11.009
   Pham V, 2021, LANDSCAPE ECOL, V36, P1235, DOI 10.1007/s10980-020-01189-0
   Quan N.H., 2020, Transformative Adaptation and Social Justice in Ho Chi Minh City, Vietnam
   Quang N, 2002, CITIES, V19, P373, DOI 10.1016/S0264-2751(02)00068-9
   Riach N, 2023, CLIM RISK MANAG, V41, DOI 10.1016/j.crm.2023.100526
   Robinson J., 2022, Comparative urbanism: Tactics for global urban studies
   Rodriguez RS, 2018, NAT CLIM CHANGE, V8, P181, DOI 10.1038/s41558-018-0098-9
   Rujner H., 2016, Sustainable Ho Chi Minh City: Climate Policies for Emerging Mega Cities, P133, DOI DOI 10.1007/978-3-319-04615-0_8
   Rujner H., 2010, Angewandte Geoinformatik, P545
   Sahana M, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15051316
   Saksena S, 2014, APPL GEOGR, V50, P80, DOI 10.1016/j.apgeog.2014.02.010
   Sawyer L, 2021, ENVIRON PLANN A, V53, P675, DOI 10.1177/0308518X20983818
   Schaefer M, 2019, HELIYON, V5, DOI 10.1016/j.heliyon.2019.e01773
   Scheiber L, 2023, NAT HAZARD EARTH SYS, V23, P2313, DOI 10.5194/nhess-23-2313-2023
   Scheiber L, 2023, NAT HAZARD EARTH SYS, V23, P2333, DOI 10.5194/nhess-23-2333-2023
   Schmidt M., 2013, Institutional and Social Innovation for Sustainable Urban Development, P180
   Schneider A, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/3/034002
   Scussolini P, 2017, WATER RESOUR RES, V53, P10841, DOI 10.1002/2017WR021344
   Seo D, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9101738
   Seto KC, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023777
   Sharifi A, 2019, CITIES, V85, P1, DOI 10.1016/j.cities.2018.11.023
   Simandan D, 2019, GEOFORUM, V98, P15, DOI 10.1016/j.geoforum.2018.09.014
   Simandan D, 2018, URBAN GEOGR, V39, P655, DOI 10.1080/02723638.2017.1382307
   Simon D., 2023, The Palgrave Encyclopedia of Urban and Regional Futures, P1250
   Storch H., 2012, Adaptation Strategies for a changing climate in Ho Chi Minh City. Summary for Decision-Makers. Upon request of the Planning Division, Department of Natural Resources and Environment Ho Chi Minh City
   Storch H., 2009, P 5 URBAN RES S CITI
   Storch H, 2011, CITIES, V28, P517, DOI 10.1016/j.cities.2011.07.002
   Storch H, 2011, LOCAL SUSTAIN, V1, P349, DOI 10.1007/978-94-007-0785-6_36
   Sutton PC, 2016, ECOL ECON, V129, P182, DOI 10.1016/j.ecolecon.2016.06.016
   Taubenböck H, 2020, CITIES, V105, DOI 10.1016/j.cities.2020.102814
   Nguyen TB, 2016, CITIES, V50, P16, DOI 10.1016/j.cities.2015.08.007
   The United Nations Human Settlements Programme, 2018, Metadata on SDGs Indicator 11.1. 1 Indicator Category: Tier II
   The United Nations Human Settlements Programme, 2014, Vietnam Housing Sector Profile
   Le TTH, 2018, GEOJOURNAL, V83, P783, DOI 10.1007/s10708-017-9803-x
   Thinh N.T.P., 2023, J. Hydro-Meteorol, V17, P62
   Thinh NK, 2023, HABITAT INT, V138, DOI 10.1016/j.habitatint.2023.102864
   Thinh NX., 2002, Environmental Impact Assessment Review, V22, P475
   Thompson CN, 2015, HEALTH PLACE, V35, P147, DOI 10.1016/j.healthplace.2015.08.001
   Thu TT, 2011, HABITAT INT, V35, P30, DOI 10.1016/j.habitatint.2010.03.005
   Thuc T., 2016, Climate change and sea level rise scenarios for vietnam
   Tran T.N., 2014, Ph.D. Thesis
   Tri H. C., 2016, VNU J SOCIAL SCI HUM, V2, P575
   Truong HoangTruong, 2017, HOUSING TRANSPORTATI
   Urban Planning Institute (UPI) HCMC; Nikken Sekkei, 2007, Report to the Ho Chi Minh City People's Committee
   Van Anh T.T., 2018, Ho Chi Minh City Open Univ. J. Sci. Soc. Sci. JS, V8, P48, DOI [10.46223/HCMCOUJS.soci.en.8.2.287.2018, DOI 10.46223/HCMCOUJS.SOCI.EN.8.2.287.2018]
   van Vliet J, 2019, NAT SUSTAIN, V2, P755, DOI 10.1038/s41893-019-0340-0
   Vetter-Gindele J, 2019, RESOURCES-BASEL, V8, DOI 10.3390/resources8040171
   Vinh NQ, 1996, HABITAT INT, V20, P175, DOI 10.1016/0197-3975(95)00048-8
   Vu MH, 2017, HABITAT INT, V65, P49, DOI 10.1016/j.habitatint.2017.05.001
   Waibel M., 2009, Geogr. Rundsch. Int. Ed, V5, P30
   Waibel M., 2004, Pac. News, V22, P10
   Waibel M., 2007, ASIEN, V103, P59
   Webster D., 2002, On the edge: Shaping the future of peri-urban Asia
   Weinberger N., 2010, Master's Thesis
   Winter AK, 2022, LAND USE POLICY, V117, DOI 10.1016/j.landusepol.2022.106124
   Wolff S, 2021, LAND-BASEL, V10, DOI 10.3390/land10020177
   World Bank Group, 2015, Vietnam Affordable Housing: A Way Forward
   Wu YZ, 2011, CITIES, V28, P147, DOI 10.1016/j.cities.2010.11.002
   Xu G, 2019, SCI TOTAL ENVIRON, V660, P375, DOI 10.1016/j.scitotenv.2019.01.039
   Yarina L., 2018, Places Journal, 2018, DOI DOI 10.22269/180327
   Yue WZ, 2021, SUSTAIN CITIES SOC, V65, DOI 10.1016/j.scs.2020.102609
   Zasada I, 2011, LAND USE POLICY, V28, P639, DOI 10.1016/j.landusepol.2011.01.008
   Zhao PJ, 2013, CITIES, V30, P68, DOI 10.1016/j.cities.2011.12.008
   Zhu JM, 2012, CITIES, V29, P77, DOI 10.1016/j.cities.2011.08.005
NR 176
TC 3
Z9 3
U1 1
U2 6
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2413-8851
J9 URBAN SCI
JI Urban Sci.
PD MAR
PY 2024
VL 8
IS 1
AR 11
DI 10.3390/urbansci8010011
PG 33
WC Environmental Sciences; Environmental Studies; Geography; Regional &
   Urban Planning; Urban Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology; Geography; Public Administration;
   Urban Studies
GA MI0K9
UT WOS:001192874900001
OA gold
DA 2025-01-10
ER

PT J
AU Guilbert, M
   Terray, P
   Mignot, J
   Ollier, L
   Gastineau, G
AF Guilbert, Marcellin
   Terray, Pascal
   Mignot, Juliette
   Ollier, Luther
   Gastineau, Guillaume
TI Interhemispheric Temperature Gradient and Equatorial Pacific SSTs Drive
   Sahel Monsoon Uncertainties under Global Warming
SO JOURNAL OF CLIMATE
LA English
DT Article
DE Teleconnections; Monsoons; Climate change; Uncertainty
ID INDIAN-SUMMER MONSOON; WEST-AFRICAN MONSOON; INTERANNUAL VARIABILITY;
   TROPICAL PRECIPITATION; FUTURE PROJECTIONS; CLIMATE-CHANGE; RAINFALL;
   ENSO; DYNAMICS; DROUGHT
AB The Sahel is one of the most vulnerable regions to climate change. Robust estimation of future changes in the Sahel monsoon is therefore essential for effective climate change adaptation. Unfortunately, state-of-the-art climate models show large uncertainties in their projections of Sahel rainfall. In this study, we use 32 models from CMIP6 to iden-tify the sources of this large intermodel spread of Sahel rainfall. By using maximum covariance analysis, we first highlight two new key drivers of this spread during boreal summer: the interhemispheric temperature gradient and equatorial Pacific sea surface temperature (SST) changes. This contrasts with previous studies, which have focused mainly on the Northern Hemisphere rather than the global scale, and in which the Pacific Ocean has been neglected in favor of the Atlantic. Next, we unravel the physical mechanisms behind these statistical relationships. First, the modulation of the interhemispheric temperature gradient across the models leads to varying latitudinal positions of the intertropical convergence zone and, consequently, varying Sahel rainfall intensity. Second, models that exhibit less warming than the multimodel mean in the equatorial Pacific, thereby projecting a less "El Nino-like" mean state, simulate enhanced precipitation over the central Sahel in the future through modulations of the Walker circulation, the tropical easterly jet, the meridional tropospheric temperature gradient, and hence regional zonal wind shear. Finally, we show that these two indices collectively explain 62% of Sahel rainfall change uncertainty: 40% due to the interhemispheric temperature gradient and 22% through equato-rial Pacific SST.
C1 [Guilbert, Marcellin; Terray, Pascal; Mignot, Juliette; Ollier, Luther; Gastineau, Guillaume] Sorbonne Univ, Inst Pierre Simon Laplace, Lab Oceanog & Climat Experimentat & Approches Nume, CNRS,IRD,MNHN, Paris, France.
C3 Sorbonne Universite; Universite Paris Saclay; Institut de Recherche pour
   le Developpement (IRD); Museum National d'Histoire Naturelle (MNHN);
   Centre National de la Recherche Scientifique (CNRS); CNRS - National
   Institute for Earth Sciences & Astronomy (INSU)
RP Guilbert, M (corresponding author), Sorbonne Univ, Inst Pierre Simon Laplace, Lab Oceanog & Climat Experimentat & Approches Nume, CNRS,IRD,MNHN, Paris, France.
EM marcellin.guilbert@locean.ipsl.fr
RI Mignot, Juliette/F-3138-2011; terray, Pascal/KVY-3046-2024
OI terray, Pascal/0000-0002-3982-6630
FU Institut de Recherche pour le Developpement (IRD, France); CNRS
   [ANR-19-JPOC-003 JPI]; Sorbonne University; Ecole Polytechnique; CNES
FX We thank the editor Isla Ruth Simpson as well as the two anonymous
   reviewers for their relevant remarks that have allowed us to improve our
   study. Pascal Terray and Juliette Mignot are funded by Institut de
   Recherche pour le Developpement (IRD, France) and supported by
   ANR-19-JPOC-003 JPI climate/JPI ocean ROADMAP. Analysis was done with
   Python (https:// www.python.org/) and the STATPACK and NCSTAT software
   (https://pagesperso. locean-ipsl.upmc.fr/terray/software.html) . This
   work benefited from the ESPRI computing and data centre
   (https://mesocentre.ipsl.fr) , which is supported by CNRS, Sorbonne
   University, Ecole Polytechnique and CNES and through national and
   international grants.
CR Adler RF, 2003, J HYDROMETEOROL, V4, P1147, DOI 10.1175/1525-7541(2003)004<1147:TVGPCP>2.0.CO;2
   Akinsanola AA, 2019, THEOR APPL CLIMATOL, V136, P1021, DOI 10.1007/s00704-018-2516-3
   Almazroui M, 2020, EARTH SYST ENVIRON, V4, P455, DOI 10.1007/s41748-020-00161-x
   Azen R, 2003, PSYCHOL METHODS, V8, P129, DOI 10.1037/1082-989X.8.2.129
   Bellomo K, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-24015-w
   Biasutti M, 2008, J CLIMATE, V21, P3471, DOI 10.1175/2007JCLI1896.1
   Biasutti M, 2013, J GEOPHYS RES-ATMOS, V118, P1613, DOI 10.1002/jgrd.50206
   Biasutti M, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.591
   Biasutti M, 2018, NAT GEOSCI, V11, P392, DOI 10.1038/s41561-018-0137-1
   Bickle ME, 2021, Q J ROY METEOR SOC, V147, P983, DOI 10.1002/qj.3955
   Breiman L, 2001, MACH LEARN, V45, P5, DOI 10.1023/A:1010933404324
   BRETHERTON CS, 1992, J CLIMATE, V5, P541, DOI 10.1175/1520-0442(1992)005<0541:AIOMFF>2.0.CO;2
   Byrne MP, 2018, CURR CLIM CHANGE REP, V4, P355, DOI 10.1007/s40641-018-0110-5
   Chang P, 1997, NATURE, V385, P516, DOI 10.1038/385516a0
   CHARNEY J, 1975, SCIENCE, V187, P434, DOI 10.1126/science.187.4175.434
   Chen ZM, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2019GL086902
   Cherchi A., 2021, INDIAN SUMMER MONSOO, P157, DOI DOI 10.1016/B978-0-12-822402-1.00011-9
   Cherry S, 1997, J CLIMATE, V10, P1759, DOI 10.1175/1520-0442(1997)010<1759:SCOSVD>2.0.CO;2
   Chiang JCH, 2004, J CLIMATE, V17, P4143, DOI 10.1175/JCLI4953.1
   Chou C, 2004, J CLIMATE, V17, P2688, DOI 10.1175/1520-0442(2004)017<2688:MOGWIO>2.0.CO;2
   Chou C, 2003, J CLIMATE, V16, P2275, DOI 10.1175/2761.1
   Chou C, 2009, J CLIMATE, V22, P1982, DOI 10.1175/2008JCLI2471.1
   Chung ES, 2017, NAT GEOSCI, V10, P566, DOI [10.1038/ngeo2988, 10.1038/NGEO2988]
   Coats S, 2017, GEOPHYS RES LETT, V44, P9928, DOI 10.1002/2017GL074622
   Cook KH, 2015, J CLIMATE, V28, P6560, DOI 10.1175/JCLI-D-14-00230.1
   Crétat J, 2017, CLIM DYNAM, V49, P1429, DOI 10.1007/s00382-016-3387-x
   Dee DP, 2011, Q J ROY METEOR SOC, V137, P553, DOI 10.1002/qj.828
   Dixon RD, 2018, CLIM DYNAM, V50, P3729, DOI 10.1007/s00382-017-3838-z
   Dong BW, 2015, NAT CLIM CHANGE, V5, P757, DOI [10.1038/nclimate2664, 10.1038/NCLIMATE2664]
   Douville H, 2006, CLIM DYNAM, V26, P367, DOI 10.1007/s00382-005-0088-2
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   Fisher A, 2019, Arxiv, DOI arXiv:1801.01489
   Fredriksen HB, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL090640
   Gaetani M, 2017, CLIM DYNAM, V48, P1353, DOI 10.1007/s00382-016-3146-z
   García-Serrano J, 2017, J CLIMATE, V30, P6945, DOI 10.1175/JCLI-D-16-0641.1
   Giannini A, 2019, CLIMATIC CHANGE, V152, P449, DOI 10.1007/s10584-018-2341-9
   GILL AE, 1980, Q J ROY METEOR SOC, V106, P447, DOI 10.1002/qj.49710644905
   Grodsky SA, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2003GL017867
   Guilbert M, 2023, J CLIMATE, V36, P3937, DOI 10.1175/JCLI-D-22-0585.1
   Hawcroft M, 2017, CLIM DYNAM, V48, P2279, DOI 10.1007/s00382-016-3205-5
   Haywood JM, 2016, GEOPHYS RES LETT, V43, P395, DOI 10.1002/2015GL066903
   Held IM, 2005, P NATL ACAD SCI USA, V102, P17891, DOI 10.1073/pnas.0509057102
   Hill SA, 2019, CURR CLIM CHANGE REP, V5, P160, DOI 10.1007/s40641-019-00137-8
   Hirasawa H, 2020, J CLIMATE, V33, P10187, DOI 10.1175/JCLI-D-19-0829.1
   Hwang YT, 2013, GEOPHYS RES LETT, V40, P2845, DOI 10.1002/grl.50502
   Janicot S, 2011, ATMOS SCI LETT, V12, P58, DOI 10.1002/asl.280
   Janicot S., 2015, GEWEX News, V27, P11
   Jiang XN, 2004, J CLIMATE, V17, P1022, DOI 10.1175/1520-0442(2004)017<1022:SAMOTN>2.0.CO;2
   Joly M, 2009, J CLIMATE, V22, P3193, DOI 10.1175/2008JCLI2450.1
   Kay JE, 2016, J CLIMATE, V29, P4617, DOI 10.1175/JCLI-D-15-0358.1
   Kent C, 2015, J CLIMATE, V28, P4390, DOI 10.1175/JCLI-D-14-00613.1
   Lebel T, 2009, J HYDROL, V375, P52, DOI 10.1016/j.jhydrol.2008.11.030
   Li G, 2017, NAT CLIM CHANGE, V7, P708, DOI [10.1038/nclimate3387, 10.1038/NCLIMATE3387]
   Lian T, 2018, NATL SCI REV, V5, P810, DOI 10.1093/nsr/nwy134
   Marathe S, 2021, CLIM DYNAM, V56, P3255, DOI 10.1007/s00382-021-05641-y
   Martin ER, 2014, Q J ROY METEOR SOC, V140, P31, DOI 10.1002/qj.2107
   Martin ER, 2014, J CLIMATE, V27, P784, DOI 10.1175/JCLI-D-13-00242.1
   Marvel K, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab858e
   McGregor S, 2018, NAT CLIM CHANGE, V8, P493, DOI 10.1038/s41558-018-0163-4
   Meehl GA, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aba1981
   Midhun M, 2022, J GEOPHYS RES-ATMOS, V127, DOI 10.1029/2022JD037160
   Monerie PA, 2023, J GEOPHYS RES-ATMOS, V128, DOI 10.1029/2023JD038712
   Monerie PA, 2022, J CLIMATE, V35, P2305, DOI 10.1175/JCLI-D-21-0412.1
   Monerie PA, 2021, NPJ CLIM ATMOS SCI, V4, DOI 10.1038/s41612-021-00179-6
   Monerie PA, 2020, CLIM DYNAM, V55, P2801, DOI 10.1007/s00382-020-05417-w
   Monerie PA, 2020, CLIM DYNAM, V55, P1385, DOI 10.1007/s00382-020-05332-0
   Monerie PA, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa8cda
   Monerie PA, 2017, CLIM DYNAM, V48, P2751, DOI 10.1007/s00382-016-3236-y
   Monerie PA, 2013, INT J CLIMATOL, V33, P881, DOI 10.1002/joc.3476
   Nakanishi T, 2021, CLIM DYNAM, V57, P2287, DOI 10.1007/s00382-021-05804-x
   Ndiaye CD, 2022, J CLIMATE, V35, P3339, DOI 10.1175/JCLI-D-21-0585.1
   Nicholson Sharon E., 2013, ISRN Meteorology, DOI 10.1155/2013/453521
   Nicholson SE, 2009, CLIM DYNAM, V32, P1155, DOI 10.1007/s00382-008-0514-3
   Park JY, 2016, NAT CLIM CHANGE, V6, P941, DOI [10.1038/NCLIMATE3065, 10.1038/nclimate3065]
   Park JY, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms6985
   Pascale S, 2017, NAT CLIM CHANGE, V7, P806, DOI [10.1038/nclimate3412, 10.1038/NCLIMATE3412]
   Pu B, 2012, J CLIMATE, V25, P2880, DOI 10.1175/JCLI-D-11-00394.1
   Pu B, 2010, J CLIMATE, V23, P6263, DOI 10.1175/2010JCLI3648.1
   Roehrig R, 2013, J CLIMATE, V26, P6471, DOI 10.1175/JCLI-D-12-00505.1
   Roy I, 2019, INT J CLIMATOL, V39, P3031, DOI 10.1002/joc.5999
   Sathiyamoorthy V, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL022956
   Schneider T, 2014, NATURE, V513, P45, DOI 10.1038/nature13636
   Seth A, 2019, CURR CLIM CHANGE REP, V5, P63, DOI 10.1007/s40641-019-00125-y
   Shaman J, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2006GL029143
   Shekhar R, 2017, J CLIMATE, V30, P7399, DOI 10.1175/JCLI-D-16-0696.1
   Sooraj KP, 2019, CLIM DYNAM, V52, P4527, DOI 10.1007/s00382-018-4396-8
   Su JZ, 2010, J CLIMATE, V23, P605, DOI 10.1175/2009JCLI2894.1
   Sultan B, 2003, J CLIMATE, V16, P3407, DOI 10.1175/1520-0442(2003)016<3407:TWAMDP>2.0.CO;2
   Sultan B, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.01262
   Sylla M. B., 2016, Adapt. to Climate Change variability Rural West Afr, P25, DOI DOI 10.1007/978-3-319-31499-03
   Tanaka HL, 2004, TELLUS A, V56, P250, DOI 10.1111/j.1600-0870.2004.00049.x
   Tao WC, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.1068155
   Terray P, 2018, CLIM DYNAM, V50, P3413, DOI 10.1007/s00382-017-3812-9
   Terray P, 2021, CLIM DYNAM, V56, P329, DOI 10.1007/s00382-020-05484-z
   Timmermann A, 2018, NATURE, V559, P535, DOI 10.1038/s41586-018-0252-6
   Trenberth KE, 1998, J GEOPHYS RES-OCEANS, V103, P14291, DOI 10.1029/97JC01444
   Voigt A, 2014, J CLIMATE, V27, P1029, DOI 10.1175/JCLI-D-13-00205.1
   Wang B, 2001, J CLIMATE, V14, P4073, DOI 10.1175/1520-0442(2001)014<4073:IVOTAS>2.0.CO;2
   Wei N, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-02064-w
   Whittleston D, 2017, J CLIMATE, V30, P4625, DOI 10.1175/JCLI-D-16-0579.1
   Yan YH, 2019, J CLIMATE, V32, P1327, DOI 10.1175/JCLI-D-17-0846.1
   Zelinka MD, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2019GL085782
   Zhang ZY, 2022, CLIM DYNAM, V59, P3579, DOI 10.1007/s00382-022-06284-3
NR 103
TC 0
Z9 0
U1 3
U2 7
PU AMER METEOROLOGICAL SOC
PI BOSTON
PA 45 BEACON ST, BOSTON, MA 02108-3693, UNITED STATES
SN 0894-8755
EI 1520-0442
J9 J CLIMATE
JI J. Clim.
PD FEB
PY 2024
VL 37
IS 3
BP 1033
EP 1052
DI 10.1175/JCLI-D-23-0162.1
PG 20
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA FW1Q8
UT WOS:001148802900001
DA 2025-01-10
ER

PT J
AU Delandmeter, M
   Carvalho, PCD
   Bremm, C
   Cargnelutti, CD
   Bindelle, J
   Dumont, B
AF Delandmeter, Mathieu
   Carvalho, Paulo Cesar de Faccio
   Bremm, Carolina
   Cargnelutti, Carolina dos Santos
   Bindelle, Jerome
   Dumont, Benjamin
TI Integrated crop and livestock systems increase both climate change
   adaptation and mitigation capacities
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Integrated crop-livestock systems; Climate change; Resistance;
   Productivity; Soil organic carbon; Crop model
ID ORGANIC-CARBON; CHANGE IMPACT; SOIL CARBON; MIXED CROP; YIELD;
   MANAGEMENT; NORTH; WATER; SEQUESTRATION; UNCERTAINTIES
AB Integrated crop-livestock systems (ICLS) are proposed as key solutions to the various challenges posed to presentday agriculture which must guarantee high and stable yields while minimizing its impacts on the environment. Yet the complex relationships between crops, grasslands and animals on which they rely demand careful and precise management. In this study, from a 18-year ICLS field experiment in Brazil, that consists in annual no-till soybean-pastures grazed by beef cattle, we investigated the impacts of contrasted pastures grazing intensities (defined by sward heights of 10, 20, 30 and 40 cm, plus an ungrazed treatment) on the agroecosystem productivity and soil organic carbon (SOC) under both historical and future (2040-2070, RCP8.5) climatic conditions. We used an innovative methodology to model the ICLS with the STICS soil-crop model, which was validated with field observations. Results showed that the total system production increased along with grazing intensity because of higher stocking rates and subsequent live weight gains. Moderate and light grazing intensities (30 and 40 cm sward heights) resulted in the largest increase in SOC over the 18-year period, with all ICLS treatments leading to greater SOC contents than the ungrazed treatment. When facing climate change under future conditions, all treatments increased in productivity due to the CO2 fertilization effect and the increases in organic amendments that result from the larger stocking rate allowed by the increased pasture carrying capacity. Moderate grazing resulted in the most significant enhancements in productivity and SOC levels. These
C1 [Bremm, Carolina; Cargnelutti, Carolina dos Santos] Univ Liege, TERRA Teaching & Res Ctr, Gembloux Agrobio Tech, Plant Sci Crop Sci, Passage Deportes 2, B-5030 Gembloux, Belgium.
   [Carvalho, Paulo Cesar de Faccio; Bindelle, Jerome] Univ Fed Rio Grande do Sul, Anim Sci Res Program, Bento Goncalves Ave 7712, BR-9154000 Porto Alegre, RS, Brazil.
   [Bindelle, Jerome] Univ Liege, TERRA Teaching & Res Ctr, Gembloux Agrobio Tech, Anim Sci, Passage Deportes 2, B-5030 Gembloux, Belgium.
   [Delandmeter, Mathieu] Passage Deportes 2, B-5030 Gembloux, Belgium.
C3 University of Liege; Universidade Federal do Rio Grande do Sul;
   University of Liege
RP Delandmeter, M (corresponding author), Passage Deportes 2, B-5030 Gembloux, Belgium.
EM mathieu.delandmeter@uliege.be
RI de Faccio Carvalho, Paulo César/A-7381-2012; Dumont,
   Benjamin/KBA-3769-2024; Bremm, Carolina/ABC-5134-2020
FU F.R.S.-FNRS (Belgian Fund for Scientific Research) [44221]; CONFAP-WBI
   cooperation project [SUB/2022/564785]
FX This study was partially funded by the F.R.S.-FNRS (Belgian Fund for
   Scientific Research; Research Fellow grant (number 44221) awarded to M.
   Delandmeter) , and by a CONFAP-WBI cooperation project (Wallonie-
   Bruxelles International-SUB/2022/564785, WBI, Brussels) . We thank
   Amelie Gaudin for providing the weather data under future climatic
   conditions used in Peterson et al. (2020) . We also thank Julie
   Constantin for sharing its parameterization of soybean with the STICS
   model, used in Kothari et al. (2022) . We are also thankful to Loic
   Strullu, Anne-Isabelle Graux and Fabien Ferchaud who shared the
   parameterization of pea and pasture plant files. We finally greet the
   entire team of the Research Group on Grazing Ecology (GPEP) of the UFRGS
   for hosting M. Delandmeter within their office and the sharing of their
   expertise on subtropical integrated crop-livestock systems.
CR Abdalla M, 2018, AGR ECOSYST ENVIRON, V253, P62, DOI 10.1016/j.agee.2017.10.023
   Alsajri FA, 2020, AGRON J, V112, P194, DOI 10.1002/agj2.20034
   [Anonymous], 2019, Climate change and land
   [Anonymous], 1999, SOIL TAX BAS SYST SO, V2nd, pWashington
   [Anonymous], 2018, NATL NUTRIENT DATABA
   Asseng S, 2019, GLOBAL CHANGE BIOL, V25, P155, DOI 10.1111/gcb.14481
   Bassu S, 2014, GLOBAL CHANGE BIOL, V20, P2301, DOI 10.1111/gcb.12520
   Beaudoin N, 2008, EUR J AGRON, V29, P46, DOI 10.1016/j.eja.2008.03.001
   Beaudoin N., 2022, STICS Soil-Crop Model. Conceptual Framework, Equations and Uses
   Bell LW, 2014, EUR J AGRON, V57, P10, DOI 10.1016/j.eja.2013.04.007
   Bell LW, 2012, AGR SYST, V111, P1, DOI 10.1016/j.agsy.2012.04.003
   Bernabucci U, 2019, ANIM FRONT, V9, P3, DOI 10.1093/af/vfy039
   Bonaudo T, 2014, EUR J AGRON, V57, P43, DOI 10.1016/j.eja.2013.09.010
   Boote KJ, 2018, EUR J AGRON, V100, P99, DOI 10.1016/j.eja.2017.09.002
   Brisson N., 2008, Conceptual basis, formalisations and parameterization of the STICS crop model
   Cecagno D, 2018, REV BRAS CIENC AGRAR, V13, DOI 10.5039/agraria.v13i3a5553
   Chang JF, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-020-20406-7
   Clivot H, 2019, ENVIRON MODELL SOFTW, V118, P99, DOI 10.1016/j.envsoft.2019.04.004
   Nunes PAD, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-81270-z
   de Aragao Ribeiro Rodrigues Renato, 2019, Sustentabilidade em Debate, V10, P28, DOI 10.18472/SustDeb.v10n2.2019.26238
   Carvalho PCD, 2013, TROP GRASSL-FORRAJES, V1, P137, DOI 10.17138/TGFT(1)137-155
   de Moraes A, 2014, REV CIENC AGRON, V45, P1024, DOI 10.1590/S1806-66902014000500018
   de Moraes A, 2014, EUR J AGRON, V57, P4, DOI 10.1016/j.eja.2013.10.004
   de Souza W, 2019, J CLEAN PROD, V213, P968, DOI 10.1016/j.jclepro.2018.12.245
   Di Falco S, 2008, LAND ECON, V84, P83, DOI 10.3368/le.84.1.83
   Diles J.J.B., 1996, Prof. Anim. Sci., V12, P244, DOI [10.15232/S1080-7446(15)32530-4, DOI 10.15232/S1080-7446(15)32530-4]
   Foley JA, 2011, NATURE, V478, P337, DOI 10.1038/nature10452
   Franzluebbers AJ, 2008, SOIL SCI SOC AM J, V72, P613, DOI 10.2136/sssaj2007.0121
   Franzluebbers AJ, 2014, AGR ECOSYST ENVIRON, V190, P18, DOI 10.1016/j.agee.2013.09.017
   Franzluebbers AJ, 2010, CARBON MANAG, V1, P237, DOI 10.4155/CMT.10.25
   Garrett RD, 2020, ECOL SOC, V25, DOI 10.5751/ES-11412-250124
   Gaudin ACM, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0113261
   Graux AI, 2020, EUR J AGRON, V112, DOI 10.1016/j.eja.2019.125952
   Graux A.I., 2023, Calibration and evaluation of the STICS model for long-term simulations of soil organic matter dynamics in grassland soils
   Herrero M, 2010, SCIENCE, V327, P822, DOI 10.1126/science.1183725
   Isbell F, 2015, NATURE, V526, P574, DOI 10.1038/nature15374
   Jackson RB, 2017, ANNU REV ECOL EVOL S, V48, P419, DOI 10.1146/annurev-ecolsys-112414-054234
   Kimball BA, 2002, ADV AGRON, V77, P293, DOI 10.1016/S0065-2113(02)77017-X
   Klingman Dayton L., 1943, JOUR AMER SOC AGRON, V35, P739
   Kothari K, 2022, EUR J AGRON, V135, DOI 10.1016/j.eja.2022.126482
   Kunrath TR, 2020, AGR SYST, V177, DOI 10.1016/j.agsy.2019.102716
   LACA EA, 1992, GRASS FORAGE SCI, V47, P91, DOI 10.1111/j.1365-2494.1992.tb02251.x
   Lemaire G, 2017, EARTHSCAN FOOD AGRIC, P113
   Leng GY, 2019, SCI TOTAL ENVIRON, V654, P811, DOI 10.1016/j.scitotenv.2018.10.434
   Liebig MA, 2012, RENEW AGR FOOD SYST, V27, P115, DOI 10.1017/S1742170511000172
   Liebig MA, 2005, SOIL TILL RES, V83, P25, DOI 10.1016/j.still.2005.02.008
   Lin BB, 2011, BIOSCIENCE, V61, P183, DOI 10.1525/bio.2011.61.3.4
   Liu JG, 2010, P NATL ACAD SCI USA, V107, P8035, DOI 10.1073/pnas.0913658107
   Maia SMF, 2010, SOIL TILL RES, V106, P177, DOI 10.1016/j.still.2009.12.005
   Martin G, 2016, AGRON SUSTAIN DEV, V36, DOI 10.1007/s13593-016-0390-x
   Mazoyer M., 2002, Histoire des agricultures du monde: Du neolithique a la crise contemporaine
   Modernel P, 2019, GRASS FORAGE SCI, V74, P636, DOI 10.1111/gfs.12445
   Naylor R, 2005, SCIENCE, V310, P1621, DOI 10.1126/science.1117856
   Pachauri RK., 2015, CLIMATE CHANGE 2014, P151
   PENMAN HL, 1948, PROC R SOC LON SER-A, V193, P120, DOI 10.1098/rspa.1948.0037
   Peterson CA, 2020, FRONT SUSTAIN FOOD S, V4, DOI 10.3389/fsufs.2020.604099
   Peterson CA, 2019, AGRON SUSTAIN DEV, V39, DOI 10.1007/s13593-019-0573-3
   Peyraud J. L., 2016, The multiple roles of grassland in the European bioeconomy. Proceedings of the 26th General Meeting of the European Grassland Federation, Trondheim, Norway, 4-8 September 2016, P29
   Poggio L, 2021, SOIL-GERMANY, V7, P217, DOI 10.5194/soil-7-217-2021
   Poudel S, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-28354-0
   Power AG, 2010, PHILOS T R SOC B, V365, P2959, DOI 10.1098/rstb.2010.0143
   Aguinaga AAQ, 2006, REV BRAS ZOOTECN, V35, P1765, DOI 10.1590/S1516-35982006000600026
   Rai T, 2022, AGROSYS GEOSCI ENV, V5, DOI 10.1002/agg2.20303
   Russelle MP, 2007, AGRON J, V99, P325, DOI 10.2134/agronj2006.0139
   Schrumpf M, 2013, BIOGEOSCIENCES, V10, P1675, DOI 10.5194/bg-10-1675-2013
   Sejian V, 2018, ANIMAL, V12, pS431, DOI 10.1017/S1751731118001945
   Sekaran U, 2021, J AGR FOOD RES, V5, DOI 10.1016/j.jafr.2021.100190
   SIONIT N, 1977, AGRON J, V69, P274, DOI 10.2134/agronj1977.00021962006900020018x
   Smith W, 2020, SCI TOTAL ENVIRON, V728, DOI 10.1016/j.scitotenv.2020.138845
   Soussana JF, 2010, ANIMAL, V4, P334, DOI 10.1017/S1751731109990784
   Soussana JF, 2014, AGR ECOSYST ENVIRON, V190, P9, DOI 10.1016/j.agee.2013.10.012
   Soussana JF, 2004, SOIL USE MANAGE, V20, P219, DOI 10.1079/SUM2003234
   Souza P. J. de O. P. de, 2013, Revista de Ciencias Agrarias / Amazonian Journal of Agricultural and Environmental Sciences, V56, P371
   Stocker, 2014, CLIMATE CHANGE 2013
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Szabó B, 2021, GEOSCI MODEL DEV, V14, P151, DOI 10.5194/gmd-14-151-2021
   Thornton PK, 2015, NAT CLIM CHANGE, V5, P830, DOI [10.1038/nclimate2754, 10.1038/NCLIMATE2754]
   Toreti A, 2020, NAT FOOD, V1, P775, DOI 10.1038/s43016-020-00195-4
   Tracy BF, 2008, CROP SCI, V48, P1211, DOI 10.2135/cropsci2007.07.0390
   Tubiello FN, 2007, P NATL ACAD SCI USA, V104, P19686, DOI 10.1073/pnas.0701728104
   Verhoeven JTA, 2006, TRENDS ECOL EVOL, V21, P96, DOI 10.1016/j.tree.2005.11.015
   Vicente-Serrano SM, 2010, J CLIMATE, V23, P1696, DOI 10.1175/2009JCLI2909.1
   Wen J, 2021, ENERG ECON, V99, DOI 10.1016/j.eneco.2021.105308
   Zanon AJ, 2016, AGRON J, V108, P1447, DOI 10.2134/agronj2015.0535
NR 84
TC 6
Z9 6
U1 10
U2 28
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD FEB 20
PY 2024
VL 912
AR 169061
DI 10.1016/j.scitotenv.2023.169061
EA DEC 2023
PG 13
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA EA7V6
UT WOS:001136256900001
PM 38061655
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Jena, LP
   Bibhudutta, A
AF Jena, Labanya Prakash
   Bibhudutta, Amlan
TI Blended financing application in Indian cities' clean transportation
   financing
SO JOURNAL OF SOCIAL AND ECONOMIC DEVELOPMENT
LA English
DT Article
DE Urbanization; Environment; Electric bus; Blended financing; City
   financing
AB World over policies for climate change adaptation and mitigation have brought vehicular emissions and electric vehicles to the forefront of the discourse. One of the key challenges faced by developing countries currently is achieving affordable and efficient bus fleet electrification. The transition to electric buses is instrumental in addressing environmental concerns and urban mobility challenges in cities, including those in India. However, financing these buses in India is a key challenge due to higher upfront costs and the poor financial health of city bus transport utilities. There is insufficient public capital available for cities to transition to electric buses. Moreover, public capital is incredibly precious. In this context, cities must find innovative ways to use existing financial products and alternative funding sources to raise capital for electric bus procurement. Appropriate financial structure and risk-sharing mechanism that align the interests of various stakeholders are crucial in helping attract private capital. In this application-based paper, we have proposed a blended financing mechanism that can leverage public capital to raise private capital and build public-private models for deploying electric buses in cities. We have also proposed a risk-sharing mechanism that aligns the interests of various stakeholders. We add to the existing pool of literature on blended finance by demonstrating its use in the context of sustainable finance and urban mobility-two areas where its appropriate use is yet to be sufficiently explored. We use a financial model to show that a blended financing mechanism that combines commercial and concessional capital can make electric bus projects in Indian cities bankable and financially feasible.
C1 [Jena, Labanya Prakash] Xavier Sch Management, XLRI, Jamshedpur, India.
   [Bibhudutta, Amlan] Council Energy Environm & Water, New Delhi, India.
C3 XLRI -Xavier School of Management
RP Jena, LP (corresponding author), Xavier Sch Management, XLRI, Jamshedpur, India.
EM labanyajena@gmail.com; bibhudattaamlan@gmail.com
OI Jena, Labanya Prakash/0000-0002-4490-869X
CR Aayog Niti, 2018, TRANSF IND MOB PERSP
   [Anonymous], 2019, Making Blended Finance Work for the Sustainable Development Goals, DOI DOI 10.1787/9789264288768-EN
   BUEC, 2021, EL CARS CALC TOT COS
   Climate Action Network, 2014, CLIMATE CHANGE ADAPT
   Climate Policy Initiative, 2020, LANDSC GREEN FIN IND
   Climate Policy Initiative, 2018, BLEND FIN CLEAN EN E
   Cohen MJ, 2021, DEV PRACT, V31, P946, DOI 10.1080/09614524.2021.1911948
   Government of India, 2018, CRED RAT ISS MUN BON
   Havemann T, 2020, AGR HUM VALUES, V37, P1281, DOI 10.1007/s10460-020-10131-8
   Hepburn C, 2010, OXFORD REV ECON POL, V26, P117, DOI 10.1093/oxrep/grq016
   ICRIER, 2019, FIN MUN CORP METR CI
   International Finance Corporation, 2020, WHY BLEND FIN REC ST
   International Institute for Sustainable Development, 2020, BLENDED FINANCE COUL
   Jena L.P., 2020, Accelerating Green Finance in India: Definitions and Beyond
   Jena LP., 2021, EMERG EC STUD, V7, P107, DOI [10.1177/23949015211070393, DOI 10.1177/23949015211070393]
   Jung H., 2020, International Trade, Politics and Development, V4, P47
   Kublbock K., 2019, Blended Finance and it's Potential for Development Cooperation
   Moszoro M., 2011, SSRN ELECT J, DOI [10.2139/ssrn.1729648, DOI 10.2139/SSRN.1729648]
   OECD, 2020, OECD DAC BLEND FIN P
   Oxfam, 2017, BLENDED FINANCE WHAT
   Rocky Mountain Institute, 2017, IND LEAPS AH TRANSF
   Rode J, 2019, ECOSYST SERV, V37, DOI 10.1016/j.ecoser.2019.100917
   Sempala R., 2020, Economic Structures, V9, P1
   Trivedi S, 2018, BATTERY SUBSCRIPTION
   UITP, 2020, EL BUS PROC IND IND
   UN, 2020, Policies on spatial distribution and urbanization have broad impacts on sustainable development
   United Nations Habitat, 2019, STRAT PLAN 2020 2023
   World Economic Forum, 2015, BLEND FIN
   World Resources Institute, 2019, BARR AD EL BUS
NR 29
TC 1
Z9 1
U1 3
U2 9
PU SPRINGER INDIA
PI NEW DELHI
PA 7TH FLOOR, VIJAYA BUILDING, 17, BARAKHAMBA ROAD, NEW DELHI, 110 001,
   INDIA
SN 0972-5792
EI 2199-6873
J9 J SOCIAL EC DEV
JI J. Social Econ. Dev.
PD DEC
PY 2023
VL 25
IS SUPPL 1
SU 1
SI SI
BP 146
EP 161
DI 10.1007/s40847-023-00281-w
EA NOV 2023
PG 16
WC Development Studies; Economics
WE Emerging Sources Citation Index (ESCI)
SC Development Studies; Business & Economics
GA CS0A7
UT WOS:001100587800002
DA 2025-01-10
ER

PT J
AU Karmaker, D
   Al-Imran, M
   Mitra, S
   Rahman, MA
   Das, SK
AF Karmaker, Dipalok
   Al-Imran, Md.
   Mitra, Shawon
   Rahman, Md. Alimur
   Das, Subroto K.
TI Effect of different macrophytes on crop cultivation under floating
   agriculture system for climate change adaptation in Bangladesh
SO AQUATIC BOTANY
LA English
DT Article
DE Waterlogging; Soilless culture; Floating bed; Mulching materials; Tomato
ID WETLANDS; GROWTH
AB The adverse effects of climate change, including rising sea levels and frequent floods, pose significant challenges to agricultural systems, particularly in low-lying countries like Bangladesh. To address these challenges, floating agriculture systems have emerged as a climate-resilient alternative for crop cultivation. Floating agriculture is a traditional agricultural system where aquatic free-floating macrophytes are used as the medium for the growth of plants. This cultivation system is traditionally used for seedling development in the south and south-western regions (Barishal, Pirojpur, and Gopalganj) of Bangladesh. However, very little scientific attention has been given to using macrophytes in crop production and preparing floating beds. Therefore, the present investigation has been carried out to select suitable macrophytes for preparing a floating bed by assaying the condition of the floating bed and the morphological and yield-related factors of cultivated crops during the Robi season in 2021. Five different macrophytes, namely, Salvinia molesta, Pistia stratiotes, Lemna minor, Salvinia cucullate, and Azolla pinnata, have been used as mulching material, which has been conducted in a Completely Randomized Block Design (RCBD). The plant material BARI tomato-14 has been transplanted on the floating beds to assess the effect of macrophytes on crop production. The results of the present investigation reveal that different macrophytes have distinct effects on tomato plants' growth and yield-related parameters in floating agriculture systems. Salvinia cucullata shows a better response in the stability of the floating bed, whereas Salvinia molesta exhibits better responses as mulching material on yield-related parameters of cultivated crops.
C1 [Karmaker, Dipalok; Al-Imran, Md.; Mitra, Shawon; Das, Subroto K.] Univ Barishal, Dept Bot, Barishal 8254, Bangladesh.
   [Rahman, Md. Alimur] Bangladesh Agr Res Inst BARI, Reg Agr Res Stn RARS, Barishal, Bangladesh.
C3 University of Barishal; Bangladesh Agricultural Research Institute
   (BARI)
RP Das, SK (corresponding author), Univ Barishal, Dept Bot, Barishal 8254, Bangladesh.
EM mrsubroto@yahoo.com
RI Rahman, Md. Alimur/LIC-2877-2024
OI Rahman, Md. Alimur/0000-0002-6491-187X
FU Ministry of Science and Technology (MOST) , Bangladesh Government of the
   People's Republic of Bangladesh
FX The authors thank Ministry of Science and Technology (MOST) , Bangladesh
   Government of the People's Republic of Bangladesh for providing
   financial support through Special allocation (322 BS, 2020-21) . The
   authors also want to thank the University of Barishal and the Regional
   Agriculture Research Institute (RARS) , Bangladesh Agriculture Research
   Institute (BARI) , Rahmatpur, Barishal, for institutional support to
   carry out this research.
CR Agboola O. O., 2018, ANN W U TIMISOARA SE, V21, P67
   Alam K., 2018, OIDA International Journal of Sustainable Development, V11, P43
   Alam M, 2011, Floating vegetable cultivation in Najipur, an upazila of Pirojpur district of Bangladesh
   Asaduzzaman M, 2004, Floating Agriculture in the flood-prone or submerged areas in Bangladesh (Southern regions of Bangladesh)
   Aurdal SM, 2022, ACTA AGR SCAND B-S P, V72, P902, DOI 10.1080/09064710.2022.2117079
   BARI, 1701, Krishi Projukti Hatboi, V9th
   Chowdhury RB, 2017, J CLEAN PROD, V150, P371, DOI 10.1016/j.jclepro.2015.10.060
   Costa Mara Lucia Rodrigues, 2010, Acta Limnol. Bras., V22, P122, DOI 10.4322/actalb.02202002
   Daniele M, 2019, HORTIC ENVIRON BIOTE, V60, P871, DOI 10.1007/s13580-019-00169-x
   Dasgupta S, 2016, WATER ECON POLICY, V2, DOI 10.1142/S2382624X1650003X
   Denny P., 1985, The ecology and management of African wetland vegetation, DOI DOI 10.1007/S00248-009-9506-Z
   Gerardo R, 2022, WATER-SUI, V14, DOI 10.3390/w14152284
   Gomez K. A., 1984, Statistical procedures for agricultural research
   Haq A. H. M. R., 2009, LEISA Magazine, V25, P34
   Haq A.H.M.R., 2004, Cultivating wetlands in Bangladesh
   Hira B, 2019, Scope and speciality of floating agriculture in Bangladesh
   Hosseinzadeh M, 2020, IEEE ACCESS, V8, P85939, DOI 10.1109/ACCESS.2020.2992262
   Hutton C.W., 2015, Modified Sustainable Livelihoods Framework (MSLF): A Tool for Monitoring and Assessing GIAHS Sites
   Irfanullah H.M, 2013, Clean Slate, P26
   Irfanullah HM, 2008, RENEW AGR FOOD SYST, V23, P89, DOI 10.1017/S1742170507002074
   Irfanullah HM, 2011, INDIAN J TRADIT KNOW, V10, P31
   Islam M.D., 2017, Asian Australas. J. Biosci. Biotechnol., V2, P181, DOI [10.3329/aajbb.v2i2.64384, DOI 10.3329/AAJBB.V2I2.64384]
   Islam T, 2007, DEV PRACT, V17, P130, DOI 10.1080/09614520601092733
   IUCN Bangladesh, 2005, Baira: the floating gardens for sustainable livelihood, V61
   Jahan N., 2020, Glob. J. Hum.-Soc. Sci.: (C.) Sociol. Cult., V20, P17
   Kroggel M., 2018, Hydroponic Nutrient Solution for Optimized Greenhouse Tomato Production
   Maatjie M.A, 2015, Growth, Yield and Quality of Hydroponically Grown Tomatoes as Affected By Different Particle Sizes of Sawdust
   Markiewicz B., 2016, Alternative crops and cropping systems, P105
   Mondal AB, 2023, International Journal of Horticultural Science and Technology, V10, P115
   Motitsoe SN, 2020, DIVERSITY-BASEL, V12, DOI 10.3390/d12050204
   Naciri R, 2022, PHYSIOL MOL BIOL PLA, V28, P763, DOI 10.1007/s12298-022-01178-4
   Okwuosa Ben, 2021, Int. Adv. Res. J. Sci. Eng. Technol., V8, P7, DOI [10.17148/iarjset.2021.81202, DOI 10.17148/IARJSET.2021.81202]
   Patel S, 2012, REV ENVIRON SCI BIO, V11, P249, DOI 10.1007/s11157-012-9289-4
   Pronk A., 1994, INT S GROW MEDIA PLA, V401, DOI [10.17660/ActaHortic.1995.401.57, DOI 10.17660/ACTAHORTIC.1995.401.57]
   Pyka L.M., 2020, J. Agric. Food Environ., V1, P161, DOI [10.47440/JAFE, DOI 10.47440/JAFE]
   Rahman A, 2016, Floating Vegetable Bed Cultivation
   ROOM PM, 1986, AQUAT BOT, V24, P213, DOI 10.1016/0304-3770(86)90058-6
   Ruiz Tellez T., 2008, Aquatic Invasions, V3, P42, DOI 10.3391/ai.2008.3.1.8
   Sobha V., 2005, Geobios (Jodhpur), V32, P137
   Steffenhagen P, 2012, HYDROBIOLOGIA, V692, P99, DOI 10.1007/s10750-011-0833-y
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Xu L, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17031103
   Zhang HX, 2021, IOP C SER EARTH ENV, V647, DOI 10.1088/1755-1315/647/1/012186
   Ziegler P, 2015, PLANT BIOLOGY, V17, P33, DOI 10.1111/plb.12184
   Zivkovic MM, 2019, BIOINVASIONS REC, V8, P218, DOI 10.3391/bir.2019.8.2.03
   Zuberi M.I., 2007, Plant Environ. Dev, V1, P67
NR 46
TC 3
Z9 3
U1 2
U2 10
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0304-3770
EI 1879-1522
J9 AQUAT BOT
JI Aquat. Bot.
PD NOV
PY 2023
VL 189
AR 103699
DI 10.1016/j.aquabot.2023.103699
EA AUG 2023
PG 9
WC Plant Sciences; Marine & Freshwater Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences; Marine & Freshwater Biology
GA R3HT8
UT WOS:001063303100001
DA 2025-01-10
ER

PT J
AU Pimprikar, M
   Cunningham, M
   Ravan, S
   Lambert, S
AF Pimprikar, Milind
   Cunningham, Myrna
   Ravan, Shirish
   Lambert, Simon
TI Integrating indigenous knowledge and state-of-the-art Earth observation
   solutions for the Sendai framework implementation
SO DISASTER PREVENTION AND MANAGEMENT
LA English
DT Article
DE Indigenous knowledge; Disaster risk reduction; Earth observation;
   Eco-DRR; Sendai framework; Nature-based solutions; Inequality
AB PurposeIndigenous peoples represent one of the most vulnerable groups and need access as well as hands-on experience in the use of emerging Earth observations (EO)-based DRR solutions at the community level, while balancing this learning with traditional indigenous knowledge (IK). However, complicating any engagement between EO and IK is the reality that IKs are diverse and dynamic, with location-specific relevance and accuracy. Additionally, the COVID-19 pandemic caused complex risks and cascading effects for which the world was not prepared. Thus, there is a need to examine the lessons learned and motivate emerging EO-based innovations and demonstrations related to DRR and climate change adaptation.Design/methodology/approachHence, this study aims to undertake an in-depth assessment of IK related to DRR covering relevant UN instruments and provides state-of-the-art of opportunities presented by EO-based tools and solutions.FindingsThe overall research strategy was designed to integrate key components of IK for DRR in a coherent and logical way, with those offered by the EO technology developers and providers. There are several EO tools accessible that are relevant to integrate IK and complement DRR. The study examined and identified challenges and barriers to implement workable and replicable EO solutions in pursuit of resilience.Originality/valueThe key findings of this study will help create a balanced approach by acknowledging the importance of IK for DRR with co-development, co-creation and use of culturally relevant EO data and tools for sustainable innovation, capacity building and youth empowerment. The technological inequalities appear to be growing, and it would be challenging to meet the Sendai Framework indicators.
C1 [Pimprikar, Milind] CANEUS, Montreal, PQ, Canada.
   [Pimprikar, Milind; Cunningham, Myrna; Ravan, Shirish; Lambert, Simon] Indigenous Knowledge Res Infrastruct IKRI, Montreal, PQ, Canada.
   [Cunningham, Myrna] FILAC & Pawanka Fund, Bilwi, Nicaragua.
   [Ravan, Shirish] UNOOSA, Vienna, Austria.
   [Lambert, Simon] Univ Saskatchewan, Saskatoon, SK, Canada.
C3 University of Saskatchewan
RP Pimprikar, M (corresponding author), CANEUS, Montreal, PQ, Canada.; Pimprikar, M (corresponding author), Indigenous Knowledge Res Infrastruct IKRI, Montreal, PQ, Canada.
EM milind.pimprikar@caneus.org; myrna.cunningham.kain@gmail.com;
   shirishravan@gmail.com; simon.lambert@usask.ca
RI Lambert, Simon/AAQ-6426-2020
OI Lambert, Simon/0000-0002-7744-6372
CR [Anonymous], 2019, IKDRR IND KNOWL DIS
   [Anonymous], 2020, HURRICANE LOTA MAKES
   Hoyos, 2020, WORLD BANK BLOG
   Kale MP, 2009, J INDIAN SOC REMOTE, V37, P457, DOI 10.1007/s12524-009-0035-5
   Kukutai T, 2016, RES MG CENT ABORIG E, V38, P1
   Lambert S., 2017, CURR CONTENTS
   Lambert SJ, 2019, INT INDIG POLICY J, V10, DOI 10.18584/iipj.2019.10.2.2
   Lorenzo-Alonso A, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11010049
   NASA, 2019, IND PEOPL PIL
   NASA, 2020, SERVIR GLOB HUB
   PFII-Permanent Forum on Indigenous Issues, 2013, EC19201314 PFII
   Pimprikar M., 2021, EMERGING SCI FRONTIE, P78
   Pimprikar M., 2015, 3 WORLD C DIS RISK R, P28
   Pimprikar M., 2019, UNFCCC COP25 EARTH I
   Pimprikar M., 2020, INDIGENOUS PEOPLES L, P24
   Ravan SA, 1997, PLANT ECOL, V131, P129, DOI 10.1023/A:1009731608350
   Roy PS, 2015, INT J APPL EARTH OBS, V39, P142, DOI 10.1016/j.jag.2015.03.003
   Scott S., 2017, GLOBAL PLATFORM DRR
   Studor G., 2016, INSIGHT, V19, P16, DOI DOI 10.1002/INST.12067
   UN DESA, 2020, IMP COVID 19 IND PEO
   UNEP, 2017, DIS EC RES CHANG CLI
   UNFCC, 2019, 2 YEAR WORKPL
   UNHRC-United Nations Human Rights Council, 2014, PROM PROT RIGHTS IND
   UNHRC-United Nations Human Rights Council, 2017, AHRC3646
   UNOOSA, 2019, AAC105 UNOOSA
   UNOOSA, 2019, SPAC SOL COMP
   UNOOSA, 2020, UN INT C SPAC BAS TE
   UNOOSA, 2021, MOOC GEOSP APPL DIS
   UNSG, 2020, HIGH LEVEL PAN DIG C
   WSL, 2017, QUANT IMPR PROT CAP
   Yellowhead Institute, 2020, COL CURV IND COMM BA
NR 31
TC 0
Z9 0
U1 5
U2 11
PU EMERALD GROUP PUBLISHING LTD
PI Leeds
PA Floor 5, Northspring 21-23 Wellington Street, Leeds, W YORKSHIRE,
   ENGLAND
SN 0965-3562
EI 1758-6100
J9 DISASTER PREV MANAG
JI Disaster Prev. Manag.
PD JUN 14
PY 2023
VL 32
IS 1
SI SI
BP 186
EP 205
DI 10.1108/DPM-07-2022-0151
EA MAY 2023
PG 20
WC Environmental Studies; Public, Environmental & Occupational Health;
   Management
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health; Business & Economics
GA J7IT0
UT WOS:000975772800001
DA 2025-01-10
ER

PT J
AU Tian, YH
   Liu, FH
   Jim, CY
   Wang, TT
   Liu, X
   Luan, JY
   Yan, MX
AF Tian, Yuhong
   Liu, Fenghua
   Jim, C. Y.
   Wang, Tiantian
   Liu, Xu
   Luan, Jingya
   Yan, Mengxuan
TI Strengths and gaps of climate change perceptions in the Beijing
   metropolis
SO CLIMATE SERVICES
LA English
DT Article
DE Climate change adaptation; Self-rated health status; Living environment;
   Perception forte; Perception discord; Climate-resilient city
ID HEALTH; CHALLENGES; REGION; FEVER; PARKS; RISK
AB Implementing China's climate-change mitigation and adaptation measures demands citizens' recognition and participation. This study investigated the strengths and gaps of climate-change perceptions of Beijing's citizens by a questionnaire survey. Responses were sought on 36 perceptions under three domains: causes, impacts, and countermeasures. The influence of underlying factors, self-rated health status and current and childhood living environments, were explored by non-parametric statistical tests. Self-rated health status strongly influenced two causes (deforestation, releasing carbon dioxide), two countermeasures (responsibility to do something to tackle climate change, officials ignored the issue of climate change), and none for impacts. Childhood city-living strongly affected the perceptions of some climate-change causes. However, childhood living environments did not affect impacts and countermeasures. A typology of residents' perception patterns was proposed. Respondents registered perception forte, especially for the common causes. Perception disconnection was detected for the linkage between two causes: resource consumption and fossil-fuel use. Perception deficit was shown for three causes: nitrous oxide release, methane emission, and urbanization. A strong collateral perception was found between the impacts of health-related issues and extreme weather. Perception discord was established between impacts on food production and agricultural pest problems. For countermeasures, the strongest perceptions were expressed for taking personal actions, changing behavior, and supporting the government. Such responses signified altruistic personal mitigation commitments and the manifestation of civic duties. The findings could inform the formulation of climate-change public policies and public education programs to nurture a climate-resilient city.
C1 [Tian, Yuhong; Liu, Fenghua; Luan, Jingya; Yan, Mengxuan] Beijing Normal Univ, Fac Geog Sci, Sch Nat Resources, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China.
   [Jim, C. Y.] Educ Univ Hong Kong, Dept Social Sci, Hong Kong, Peoples R China.
   [Wang, Tiantian] Renmin Univ China, Sch Environm & Nat Resources, Beijing 100872, Peoples R China.
   [Liu, Xu] China Acad Urban Planning & Design CAUPD, Beijing 100044, Peoples R China.
C3 Beijing Normal University; Education University of Hong Kong (EdUHK);
   Renmin University of China
RP Jim, CY (corresponding author), Educ Univ Hong Kong, Dept Social Sci, Hong Kong, Peoples R China.
EM tianyuhong@bnu.edu.cn; 201921051100@mail.bnu.edu.cn; cyjim@eduhku.hk;
   201821051150@mail.bnu.edu.cn; liuxu_ch@pku.edu.cn;
   202021051102@mail.bnu.edu.cn; 202121051114@mail.bnu.edu.cn
RI Jim, CY/O-1025-2019
OI Jim, C.Y./0000-0003-4052-8363; Wang, Tiantian/0000-0003-0628-2523
CR An N, 2020, J APPL METEOROL CLIM, V59, P605, DOI 10.1175/JAMC-D-19-0125.1
   [安岩 An Yan], 2021, [气候变化研究进展, Progressus Inquisitiones de Mutatione Climatis], V17, P184
   Anåker A, 2021, NURS EDUC TODAY, V105, DOI 10.1016/j.nedt.2021.105028
   Antronico L, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12176985
   Areia NP, 2019, SCI TOTAL ENVIRON, V682, P291, DOI 10.1016/j.scitotenv.2019.05.191
   Ashrafuzzaman M, 2019, ENVIRON INT, V127, P402, DOI 10.1016/j.envint.2019.03.020
   Behailu G, 2021, CLIM SERV, V23, DOI 10.1016/j.cliser.2021.100239
   Beijing Bureau of Statistics, 2019, BEIJ STAT YB
   Beijing Government, 2022, BEIJ PLAN COP CLIM C
   Burrell AL, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-17710-7
   Change A.C., 2022, WATER AIR SOIL POLL, V41, DOI [10.1016/j.uclim.2021.101061, DOI 10.1016/J.UCLIM.2021.101061]
   Chen JR, 2021, URBAN FOR URBAN GREE, V63, DOI 10.1016/j.ufug.2021.127210
   Chen WY, 2015, CITIES, V44, P112, DOI 10.1016/j.cities.2015.01.005
   Cortekar J, 2016, CLIM SERV, V4, P42, DOI 10.1016/j.cliser.2016.11.002
   Debone D, 2020, URBAN CLIM, V34, DOI 10.1016/j.uclim.2020.100687
   Dessler A.E., 2021, Introduction to modern climate change
   Dimitrova A, 2021, ENVIRON INT, V146, DOI 10.1016/j.envint.2020.106170
   Funatsu BM, 2019, GLOBAL ENVIRON CHANG, V57, DOI 10.1016/j.gloenvcha.2019.05.007
   Gifford R, 2011, AM PSYCHOL, V66, P290, DOI 10.1037/a0023566
   Groshong L, 2018, J OUTDOOR REC TOUR, V24, P11, DOI 10.1016/j.jort.2018.09.002
   Habibi P, 2021, URBAN CLIM, V36, DOI 10.1016/j.uclim.2021.100770
   He XD, 2020, J CLEAN PROD, V247, DOI 10.1016/j.jclepro.2019.119169
   Jennings V, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16030452
   Jing H.A.N., 2017, J ARRYTHM, V55, P71
   Kimura Miyako, 2018, Prev Med Rep, V10, P129, DOI 10.1016/j.pmedr.2018.02.017
   Kolbuk ME, 2021, J EMERG NURS, V47, P621, DOI 10.1016/j.jen.2021.05.004
   Kotcher J, 2021, LANCET PLANET HEALTH, V5, pE316, DOI 10.1016/S2542-5196(21)00053-X
   Kwon SA, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11071834
   Leas EC, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0159885
   Li HZ, 2012, ADV MATER RES-SWITZ, V361-363, P1240, DOI 10.4028/www.scientific.net/AMR.361-363.1240
   Li SX, 2017, TRANSPORT RES D-TR E, V56, P1, DOI 10.1016/j.trd.2017.07.016
   Lin T, 2021, OCEAN COAST MANAGE, V207, DOI 10.1016/j.ocecoaman.2018.02.025
   Liu FH, 2022, FORESTS, V13, DOI 10.3390/f13010009
   Liu JR, 2021, PHYS CHEM EARTH, V122, DOI 10.1016/j.pce.2021.103005
   Lorencová EK, 2019, CLIMATE, V7, DOI 10.3390/cli7050061
   Mahl D, 2020, ENVIRON COMMUN, V14, P802, DOI 10.1080/17524032.2020.1736116
   Manyuchi AE, 2022, HUM SOC SCI COMMUN, V9, DOI 10.1057/s41599-022-01063-1
   Marazziti D, 2021, SCI TOTAL ENVIRON, V773, DOI 10.1016/j.scitotenv.2021.145182
   Masterton W, 2021, HEALTH PLACE, V72, DOI 10.1016/j.healthplace.2021.102669
   Men BH, 2020, PURE APPL GEOPHYS, V177, P3527, DOI 10.1007/s00024-019-02400-3
   Mihiretu A, 2021, HELIYON, V7, DOI 10.1016/j.heliyon.2021.e06529
   Moser SC, 2010, WIRES CLIM CHANGE, V1, P31, DOI 10.1002/wcc.11
   National Bureau of Statistics, 2019, CHINESE STAT YB
   Opitz-Stapleton Sarah, 2016, Climate Services, V2-3, P41, DOI 10.1016/j.cliser.2016.08.001
   Ou JP, 2017, J URBAN PLAN DEV, V143, DOI 10.1061/(ASCE)UP.1943-5444.0000352
   Owusu V, 2021, J CLEAN PROD, V293, DOI 10.1016/j.jclepro.2021.126154
   Pachauri K., 2014, Environ. Policy Collect. Clim. Chang, V27, P408, DOI DOI 10.1111/J.1728-4457.2001.00203.X
   Philipsborn RP, 2021, CURR PROB PEDIATR AD, V51, DOI 10.1016/j.cppeds.2021.101027
   Richardson EA, 2013, PUBLIC HEALTH, V127, P318, DOI 10.1016/j.puhe.2013.01.004
   Rowland ST, 2020, ENVIRON INT, V143, DOI 10.1016/j.envint.2020.105910
   Sexton J, 2021, ENVIRON RES, V197, DOI 10.1016/j.envres.2021.111037
   Sharma A, 2020, ENVIRON MONIT ASSESS, V192, DOI 10.1007/s10661-020-08512-x
   Soto-Montes-de-Oca G, 2019, J ARID ENVIRON, V162, P74, DOI 10.1016/j.jaridenv.2018.10.006
   Steynor A, 2020, CLIM RISK MANAG, V27, DOI 10.1016/j.crm.2019.100202
   Sutton RT, 2012, NAT GEOSCI, V5, P788, DOI [10.1038/ngeo1595, 10.1038/NGEO1595]
   Tang Yan, 2017, [China City Planning Review, 城市规划], V26, P14
   Timlin U., 2021, SCI, V3, P28, DOI [10.3390/sci3020028, DOI 10.3390/SCI3020028]
   Timlin U, 2022, ATMOSPHERE-BASEL, V13, DOI 10.3390/atmos13050789
   Tong MX, 2019, J INFECT PUBLIC HEAL, V12, P388, DOI 10.1016/j.jiph.2018.12.010
   Tong MX, 2017, GLOBAL PLANET CHANGE, V152, P12, DOI 10.1016/j.gloplacha.2017.02.007
   Tong MX, 2016, ENVIRON RES, V148, P295, DOI 10.1016/j.envres.2016.03.043
   Wang BB, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.639
   Wang YB, 2020, SCI TOTAL ENVIRON, V705, DOI 10.1016/j.scitotenv.2019.135868
   White MP, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-44097-3
   Willerth M, 2020, ARCH GERONTOL GERIAT, V87, DOI 10.1016/j.archger.2019.103994
   Wu J, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01663-0
   Wu WY, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-17581-y
   Xu RB, 2021, SUSTAIN CITIES SOC, V69, DOI 10.1016/j.scs.2021.102828
   Yang P, 2017, J CLIMATE, V30, P5851, DOI [10.1175/JCLI-D-16-0671.1, 10.1175/jcli-d-16-0671.1]
   Zeeshan M, 2021, CURR RES ENVIRON SUS, V3, DOI 10.1016/j.crsust.2021.100035
   Zhang MS, 2019, PEERJ, V7, DOI 10.7717/peerj.7018
   Zhong C., 2021, BEIJING REV, V64, P28
   Zhou CW, 2019, CHINESE GEOGR SCI, V29, P139, DOI 10.1007/s11769-018-0987-x
   Zhu WW, 2020, ENVIRON GEOCHEM HLTH, V42, P881, DOI 10.1007/s10653-019-00355-x
NR 74
TC 2
Z9 2
U1 7
U2 27
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2405-8807
J9 CLIM SERV
JI Clim. Serv.
PD APR
PY 2023
VL 30
AR 100350
DI 10.1016/j.cliser.2023.100350
EA FEB 2023
PG 11
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 8T5CY
UT WOS:000929281000001
OA gold
DA 2025-01-10
ER

PT J
AU Dotse, SQ
   Larbi, I
   Limantol, AM
   Asare-Nuamah, P
   Frimpong, LK
   Alhassan, ARM
   Sarpong, S
   Angmor, E
   Ayisi-Addo, AK
AF Dotse, Sam-Quarcoo
   Larbi, Isaac
   Limantol, Andrew Manoba
   Asare-Nuamah, Peter
   Frimpong, Louis Kusi
   Alhassan, Abdul-Rauf Malimanga
   Sarpong, Solomon
   Angmor, Emmanuel
   Ayisi-Addo, Angela Kyerewaa
TI Rainfall Projections from Coupled Model Intercomparison Project Phase 6
   in the Volta River Basin: Implications on Achieving Sustainable
   Development
SO SUSTAINABILITY
LA English
DT Article
DE climate change; trend analysis; climate models; climate scenarios; Volta
   Basin
ID CLIMATE-CHANGE; VARIABILITY; IMPACTS; CMIP5
AB Climate change has become a global issue, not only because it affects the intensity and frequency of rainfall but also because it impacts the economic development of regions whose economies heavily rely on rainfall, such as the West African region. Hence, the need for this study, which is aimed at understanding how rainfall may change in the future over the Sahel, Savannah, and coastal zones of the Volta River Basin (VRB). The trends and changes in rainfall between 2021-2050 and 1985-2014 under the Shared Socioeconomic Pathway (SSP2-4.5 and SSP5-8.5) scenarios were analyzed after evaluating the performance of three climate models from the Coupled Model Intercomparison Project Phase 6 (CMIP6) using Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) as observation. The results show, in general, a relatively high correlation and low spatial biases for rainfall (r > 0.91, -20% < Pbias < 20%) over the entire Volta Basin for the models' ensemble mean. An increasing trend and projected increase in annual rainfall under the SSP2-4.5 scenario is 6.0% (Sahel), 7.3% (Savannah), and 2.6% (VRB), but a decrease of 1.1% in the coastal zone. Similarly, under SSP5-8.5, the annual rainfall is projected to increase by 32.5% (Sahel), +22.8% (Savannah), 23.0% (coastal), and 24.9% (VRB), with the increase being more pronounced under SSP5-8.5 compared to the SSP2-4.5 scenario. The findings of the study would be useful for planning and designing climate change adaptation measures to achieve sustainable development at the VRB.
C1 [Dotse, Sam-Quarcoo; Larbi, Isaac; Limantol, Andrew Manoba; Asare-Nuamah, Peter; Frimpong, Louis Kusi; Alhassan, Abdul-Rauf Malimanga; Angmor, Emmanuel; Ayisi-Addo, Angela Kyerewaa] Univ Environm & Sustainable Dev, Sch Sustainable Dev, Somanya 00233, Ghana.
   [Sarpong, Solomon] Univ Environm & Sustainable Dev, Sch Nat & Environm Sci, Somanya 00233, Ghana.
RP Larbi, I (corresponding author), Univ Environm & Sustainable Dev, Sch Sustainable Dev, Somanya 00233, Ghana.
EM ilarbi@uesd.edu.gh
RI Larbi, Isaac/GNH-5792-2022; Dotse, Sam-Quarcoo/HPF-9967-2023;
   Asare-Nuamah, Peter/ABH-9302-2020
OI Frimpong, Louis Kusi/0000-0002-3363-6086; Alhassan, Abdul-Rauf
   Malimanga/0000-0003-2870-9639; Ayisi-Addo, Angela/0000-0002-2899-3302;
   ASARE-NUAMAH, PETER/0000-0002-3122-909X; Dotse,
   Sam-Quarcoo/0000-0002-1168-2209
CR Adeosun OT, 2021, MANAG ENVIRON QUAL, V32, P1352, DOI 10.1108/MEQ-04-2021-0075
   Agyekum J, 2018, ADV METEOROL, V2018, DOI 10.1155/2018/4853681
   Ajibola FO, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11101053
   Andah W.E.I., 2013, WATER CLIMATE FOOD E
   [Anonymous], COUPL MOD INT PROJ P
   [Anonymous], 2013, Climate Change 2013, V5
   Arndt C, 2015, SUSTAINABILITY-BASEL, V7, P7214, DOI 10.3390/su7067214
   Asante FA, 2015, CLIMATE, V3, P78, DOI 10.3390/cli3010078
   Asare-Nuamah P, 2021, HELIYON, V7, DOI 10.1016/j.heliyon.2021.e06928
   Bizikova L, 2007, CLIM POLICY, V7, P271, DOI 10.1080/14693062.2007.9685655
   Chen FW, 2012, PADDY WATER ENVIRON, V10, P209, DOI 10.1007/s10333-012-0319-1
   Dembélé M, 2022, HYDROL EARTH SYST SC, V26, P1481, DOI 10.5194/hess-26-1481-2022
   Environmental Protection Agency, 2017, POL ADV SER, V1
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   FAO, 2012, FACT SHEET SMALLH FA
   Funk C, 2015, SCI DATA, V2, DOI 10.1038/sdata.2015.66
   Gutjahr O, 2019, GEOSCI MODEL DEV, V12, P3241, DOI 10.5194/gmd-12-3241-2019
   Haarsma RJ, 2016, GEOSCI MODEL DEV, V9, P4185, DOI 10.5194/gmd-9-4185-2016
   Herrero M., 2010, Climate variability and climate change and their impacts on Kenya's agriculture sector
   Jain S, 2019, THEOR APPL CLIMATOL, V137, P1429, DOI 10.1007/s00704-018-2674-3
   Jiang DB, 2020, ADV ATMOS SCI, V37, P1102, DOI 10.1007/s00376-020-2034-y
   Kabo-Bah AT, 2016, CLIMATE, V4, DOI 10.3390/cli4040049
   Kim J, 2014, CLIM DYNAM, V42, P1189, DOI 10.1007/s00382-013-1751-7
   Klutse NAB, 2021, EARTH SYST ENVIRON, V5, P25, DOI 10.1007/s41748-021-00203-y
   Kumi N, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aab89e
   Larbi I., 2021, AFRICAN HDB CLIMATE
   Larbi I, 2018, CLIMATE, V6, DOI 10.3390/cli6040087
   Li J., 2008, CARTOGR GEOGR INF SC, V10, P129
   Mwabumba M., 2022, Environmental Challenges, DOI 10.1016/j.envc.2022.100446
   Ndehedehe CE, 2017, J HYDROL-REG STUD, V12, P88, DOI 10.1016/j.ejrh.2017.04.005
   Nyembo LO, 2021, J WATER CLIM CHANGE, V12, P469, DOI 10.2166/wcc.2020.197
   Okafor G. C., 2017, Atmospheric and Climate Sciences, V7, P161, DOI 10.4236/acs.2017.72012
   Okafor G.C., 2021, Environ. Chall, V5, DOI [10.1016/j.envc.2021.100285, DOI 10.1016/J.ENVC.2021.100285]
   Onoz B., 2003, Turkish Journal of Engineering and Environmental Sciences, V27, P247
   Paeth H, 2011, INT J CLIMATOL, V31, P1908, DOI 10.1002/joc.2199
   Shiru MS, 2020, WATER-SUI, V12, DOI 10.3390/w12113044
   Sood A, 2015, HYDROLOG SCI J, V60, P549, DOI 10.1080/02626667.2014.950580
   Stutley C., 2010, CROP INSURANCE FEASI
   Swart NC, 2019, GEOSCI MODEL DEV, V12, P4823, DOI 10.5194/gmd-12-4823-2019
   Sylla MB, 2016, CLIMATIC CHANGE, V134, P241, DOI 10.1007/s10584-015-1522-z
   van Huijgevoort MHJ, 2014, J HYDROL, V512, P421, DOI 10.1016/j.jhydrol.2014.02.060
   Wang D, 2022, J WATER CLIM CHANGE, V13, P2089, DOI 10.2166/wcc.2022.402
   Water Resources Commission, 2012, TAN RIV BAS INT WAT
   World Bank, 2018, GHAN PRIOR END POV B
   World Bank, 2018, Poverty and shared prosperity 2018: Piecing together the poverty puzzle, DOI 10.1596/978-1-4648-1330-6
   Wossen T, 2018, AGR SYST, V163, P7, DOI 10.1016/j.agsy.2017.02.006
   Wu TW, 2019, GEOSCI MODEL DEV, V12, P1573, DOI 10.5194/gmd-12-1573-2019
   Yeboah K., 2022, Environ. Challenges, V6, P100439, DOI [DOI 10.1016/J.ENVC.2021.100439, 10.1016/j.envc.2021, DOI 10.1016/J.ENVC.2021, 10.1016/j.envc, DOI 10.1016/J.ENVC]
   Yiran GAB, 2016, CLIM RISK MANAG, V14, P11, DOI 10.1016/j.crm.2016.09.003
NR 49
TC 4
Z9 4
U1 0
U2 2
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JAN
PY 2023
VL 15
IS 2
AR 1472
DI 10.3390/su15021472
PG 17
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 8A3PS
UT WOS:000916154200001
OA gold
DA 2025-01-10
ER

PT J
AU Rasmussen, P
   Kidmose, J
   Kallesoe, AJ
   Sandersen, PBE
   Schneider, R
   Sonnenborg, TO
AF Rasmussen, Per
   Kidmose, Jacob
   Kallesoe, Anders J. J.
   Sandersen, Peter B. E.
   Schneider, Raphael
   Sonnenborg, Torben O. O.
TI Evaluation of adaptation measures to counteract rising groundwater
   levels in urban areas in response to climate change
SO HYDROGEOLOGY JOURNAL
LA English
DT Article
DE Groundwater flooding; Urban groundwater; Adaptation measures; Climate
   change; Denmark
ID WATER; TRANSIENT; RECHARGE; IMPACT; MODEL; EVAPOTRANSPIRATION;
   AFFORESTATION; INFILTRATION; CATCHMENTS; RESOURCES
AB For an increasing number of urban areas in Denmark and other countries with a temperate climate, large seasonal variations in precipitation, evaporation, and groundwater recharge cause problems with high groundwater levels during winter for private house owners, industry, public institutions, and infrastructure. Several factors contribute to the problem, e.g., an increase in winter precipitation, renovation of old leaky sewer pipes (previously acting as drain systems), and closure of groundwater abstraction for drinking water in urban areas in response to pollution. Four adaptation measures are compared with a detailed hydrological model for the town of Sunds, located in the western part of Denmark. Two 'grey', one 'green' and one 'blue' measure are evaluated. The grey solutions involve (1) installing drainage pipes (a third pipe) alongside the existing sewer pipes, and (2) lowering the water table by groundwater pumping from shallow wells, including storage of water in deeper aquifers for use in the drier summer; the green solution involves planting new forest in and around the town; and the blue solution is to establish a new ditch in the town. A climate model that projects more precipitation, especially in the winter, is used to evaluate the robustness of the different measures in a wetter climate for the northern European area. The hydrological modelling shows that the third pipe is the most effective climate-change adaptation of the four measures tested. The new ditch is an effective solution to lower the water table but with a more limited areal coverage.
C1 [Rasmussen, Per; Kidmose, Jacob; Schneider, Raphael; Sonnenborg, Torben O. O.] Geol Survey Denmark & Greenland GEUS, Dept Hydrol, Oster Voldgade 10, DK-1350 Copenhagen K, Denmark.
   [Kallesoe, Anders J. J.; Sandersen, Peter B. E.] Geol Survey Denmark & Greenland GEUS, Dept Groundwater & Quaternary Geol Mapping, Univ City 81, Bldg 1872, DK-8000 Aarhus C, Denmark.
   [Kallesoe, Anders J. J.] NIRAS, Ceres Alle 3, DK-8000 Aarhus C, Denmark.
C3 Geological Survey Of Denmark & Greenland; Geological Survey Of Denmark &
   Greenland
RP Rasmussen, P (corresponding author), Geol Survey Denmark & Greenland GEUS, Dept Hydrol, Oster Voldgade 10, DK-1350 Copenhagen K, Denmark.
EM pr@geus.dk
RI Sandersen, Peter/A-3890-2012; Schneider, Raphael/H-7499-2018; Kidmose,
   Jacob/M-3556-2018; Rasmussen, Per/G-9861-2018
OI Rasmussen, Per/0000-0002-1047-5515
FU European Regional Development Fund; Interreg VB North Sea Region
   programme; TOPSOIL project; EU; Innovation Fund Denmark [731166]; 
   [8055-00073B]
FX The European Regional Development Fund, Interreg VB North Sea Region
   programme, TOPSOIL project (2015-2021) is thanked for partly funding
   this research together with the TACTIC project, which received funding
   from the EUs Horizon 2020 research and innovation programme under grant
   agreement No. 731166, and the Innovation Fund Denmark under agreement
   No. 8055-00073B
CR Auken E, 2019, GEOPHYSICS, V84, pE13, DOI 10.1190/GEO2018-0355.1
   Christiansen AV, 2016, REMOTE SENS-BASEL, V8, DOI 10.3390/rs8121022
   Danielsen JE, 2003, J APPL GEOPHYS, V53, P181, DOI 10.1016/j.jappgeo.2003.08.004
   DHI, 2022, MIKE SHE US GUID REF
   Doherty J., 2015, PEST, Model-independent parameter estimation: user manual (and addendum to the PEST manual), V5th
   Fletcher TD, 2013, ADV WATER RESOUR, V51, P261, DOI 10.1016/j.advwatres.2012.09.001
   Foit SR, 2017, ANGEW CHEM INT EDIT, V56, P5402, DOI 10.1002/anie.201607552
   Gazoty A, 2012, HYDROL EARTH SYST SC, V16, P1793, DOI 10.5194/hess-16-1793-2012
   GEUS, 2022, NAT WELL DAT JUP
   Han DM, 2017, J HYDROL, V554, P545, DOI 10.1016/j.jhydrol.2017.09.018
   Henriksen HJ, 2008, J HYDROL, V348, P224, DOI 10.1016/j.jhydrol.2007.09.056
   Hojberg AL, 2013, ENVIRON MODELL SOFTW, V40, P202, DOI 10.1016/j.envsoft.2012.09.010
   I-GIS, 2022, GEOSCENE3D
   Jeppesen J, 2015, GROUNDWATER, V53, P542, DOI 10.1111/gwat.12255
   Karlsson IB, 2015, CLIM RES, V64, P39, DOI 10.3354/cr01265
   Karpf C, 2013, URBAN WATER J, V10, P221, DOI 10.1080/1573062X.2012.724077
   Kidmose J, 2013, HYDROL EARTH SYST SC, V17, P1619, DOI 10.5194/hess-17-1619-2013
   Kidmose J, 2015, J HYDROL, V525, P506, DOI 10.1016/j.jhydrol.2015.04.007
   Koch E, 1989, DGU SERIES, V22
   Ladekarl UL, 2005, J HYDROL, V300, P76, DOI 10.1016/j.jhydrol.2004.05.003
   Lykke-Andersen H., 1996, GEOLOGISK TIDSSKRIFT, V3, P1
   Madirazza I, 2002, BULL GEOL SOC DEN, V49, P63
   Moller AB, 2018, 135 DCA
   Mourot FM, 2022, J HYDROL-REG STUD, V40, DOI 10.1016/j.ejrh.2022.101053
   Nielsen AV, 1981, HARDSYSSELS HANDBOG, V1
   Pasten-Zapata E, 2019, GEOL SURV DEN GREENL, V43, DOI 10.34194/GEUSB-201943-01-02
   Randall M, 2013, GEOL SURV DEN GREENL, V28
   Rasmussen ES, 2010, GEOL SURV DEN GREENL, V22
   Salvadore E, 2015, J HYDROL, V529, P62, DOI 10.1016/j.jhydrol.2015.06.028
   Sandersen P. B. E., 2016, KORTLAEGNING BEGRAVE
   Sandersen PBE, 2021, ENG GEOL, V288, DOI 10.1016/j.enggeo.2021.106125
   Seidenfaden IK, 2022, J HYDROL-REG STUD, V41, DOI 10.1016/j.ejrh.2022.101100
   Sonnenborg TO, 2003, J HYDROL, V273, P188, DOI 10.1016/S0022-1694(02)00389-X
   Sonnenborg TO, 2017, AGR FOREST METEOROL, V239, P118, DOI 10.1016/j.agrformet.2017.03.001
   Stisen S, 2018, MODELING GROUNDWATER, DOI [10.22008/gpub/32582, DOI 10.22008/GPUB/32582]
   Taylor RG, 2013, NAT CLIM CHANGE, V3, P322, DOI [10.1038/nclimate1744, 10.1038/NCLIMATE1744]
   Van der Salm C, 2006, FOREST ECOL MANAG, V221, P170, DOI 10.1016/j.foreco.2005.09.027
   van Roosmalen L, 2007, VADOSE ZONE J, V6, P554, DOI 10.2136/vzj2006.0093
   van Roosmalen L, 2009, WATER RESOUR RES, V45, DOI 10.1029/2007WR006760
   Verstraeten WW, 2005, HYDROL EARTH SYST SC, V9, P225, DOI 10.5194/hess-9-225-2005
NR 40
TC 5
Z9 5
U1 4
U2 28
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1431-2174
EI 1435-0157
J9 HYDROGEOL J
JI Hydrogeol. J.
PD FEB
PY 2023
VL 31
IS 1
BP 35
EP 52
DI 10.1007/s10040-022-02573-7
EA DEC 2022
PG 18
WC Geosciences, Multidisciplinary; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Water Resources
GA 9N4AB
UT WOS:000899719700001
OA hybrid
DA 2025-01-10
ER

PT J
AU Qian, BD
   Smith, W
   Jing, Q
   Kim, YM
   Jego, G
   Grant, B
   Duguid, S
   Hester, K
   Nelson, A
AF Qian, Budong
   Smith, Ward
   Jing, Qi
   Kim, Yong Min
   Jego, Guillaume
   Grant, Brian
   Duguid, Scott
   Hester, Ken
   Nelson, Alison
TI Climate conditions in the near-term, mid-term and distant future for
   growing soybeans in Canada
SO CANADIAN JOURNAL OF PLANT SCIENCE
LA English
DT Article; Early Access
DE Climate projection; climate change impacts; climate condition; crop heat
   unit; soybean
ID LATENT EVAPORATION; AIR-TEMPERATURE; CROP MODELS; IMPACTS; YIELD;
   PRECIPITATION; AGRICULTURE; TILLAGE; INDEXES; CARBON
AB The soybean industry in Canada aimed to extensively expand soybean production to benefit from new early-maturing varieties and the warming climate. However, setbacks in the soybean industry since 2017 demonstrated the impacts of climate risk and global market uncertainty. Therefore, a better understanding of future climate conditions that will impact soybean growth in Canada is needed for decision-making in the sector, such as prioritizing regions for expansion and developing climate change adaptation strategies through either agronomic management practices or breeding new cultivars. Based on climate projections from a set of global climate models, we analyzed climate conditions for growing soybeans, including growing season start, crop heat units, precipitation, precipitation deficits and climate extremes, in the near-term (2030s), the mid-term (2050s) and the distant future (2070s). We found that a future warmer climate with an increase of 1.6, 2.8 and 4.1 degrees C in the growing season (May-September) mean temperature averaged over Canada's land area in the near-term, mid-term and distant future under SSP3-7.0 would favour the expansion of soybean production further north and west. However, an increase of approximately 200 mm in precipitation deficits on the semiarid Canadian Prairies in the mid-term would constrain soybean production unless irrigation could be introduced. Heat-and drought-tolerant cultivars should be developed to adapt soybean production to a changing climate, in addition to the adoption of late-maturing cultivars that would benefit from the lengthened growing season and increased crop heat units.
C1 [Qian, Budong; Smith, Ward; Jing, Qi; Grant, Brian] Agr & Agrifood Canada, Ottawa Res & Dev Ctr, Sci & Technol Branch, Ottawa, ON K1A 0C6, Canada.
   [Kim, Yong Min] Agr & Agrifood Canada, Brandon Res & Dev Ctr, Sci & Technol Branch, MB, Brandon, MB R7A 5Y3, Canada.
   [Jego, Guillaume] Agr & Agrifood Canada, Quebec Res & Dev Ctr, Sci & Technol Branch, Quebec City, PQ G1V 2J3, Canada.
   [Duguid, Scott] Agr & Agrifood Canada, Morden Res & Dev Ctr, Sci & Technol Branch, Morden, MB R6M 1Y5, Canada.
   [Hester, Ken] Market & Ind Serv Branch, Ottawa, ON K1A 0C5, Canada.
   [Nelson, Alison] Agr & Agrifood Canada, Sci & Technol Branch, Directors Off RDT Manitoba, Winnipeg, MB R3C 3G7, Canada.
C3 Agriculture & Agri Food Canada; Agriculture & Agri Food Canada;
   Agriculture & Agri Food Canada; Agriculture & Agri Food Canada;
   Agriculture & Agri Food Canada
RP Qian, BD (corresponding author), Agr & Agrifood Canada, Ottawa Res & Dev Ctr, Sci & Technol Branch, Ottawa, ON K1A 0C6, Canada.
EM budong.qian@agr.gc.ca
RI Qian, Budong/F-2345-2011; Smith, Ward/JRX-8136-2023
OI Smith, Ward/0000-0001-7462-5247; Qian, Budong/0000-0001-5413-3114
FU Agriculture and Agri-Food Canada under the Interdepartmental Research
   Initiative in Agriculture [J-002303: ?]
FX Funding information This study was partly supported by Agriculture and
   Agri-Food Canada under the Interdepartmental Research Initiative in
   Agriculture (Project J-002303: ?Sustainable crop production in Canada
   under climate change?) . This is ORDC Contribution 22-067.
CR Almaraz JJ, 2009, SOIL TILL RES, V104, P134, DOI 10.1016/j.still.2009.02.003
   BAIER W, 1971, CAN J PLANT SCI, V51, P255, DOI 10.4141/cjps71-053
   BAIER W, 1965, CAN J PLANT SCI, V45, P276, DOI 10.4141/cjps65-051
   BAKER JT, 1989, CROP SCI, V29, P98, DOI 10.2135/cropsci1989.0011183X002900010024x
   Boote K.J., 2005, J AGRIC METEOROL, V60, P469
   Boote KJ, 2011, CROP ADAPTATION TO CLIMATE CHANGE, P370
   Bootsma A, 2005, CAN J SOIL SCI, V85, P345, DOI 10.4141/S04-025
   Bootsma A, 2005, CAN J SOIL SCI, V85, P329, DOI 10.4141/S04-019
   BOOTSMA A, 1994, CLIMATIC CHANGE, V26, P65, DOI 10.1007/BF01094009
   Bootsma A., 1995, TECH B CTR LAND BIOL
   Brown D. M., 1975, Factsheet, Ministry of Agriculture and Food, Ontario
   Challinor AJ, 2018, AGR SYST, V159, P296, DOI 10.1016/j.agsy.2017.07.010
   Cober ER, 2019, PLANTS-BASEL, V8, DOI 10.3390/plants8080250
   Cucchi M, 2020, EARTH SYST SCI DATA, V12, P2097, DOI 10.5194/essd-12-2097-2020
   Deser C, 2012, CLIM DYNAM, V38, P527, DOI 10.1007/s00382-010-0977-x
   Djanaguiraman M, 2013, CROP SCI, V53, P1594, DOI 10.2135/cropsci2012.07.0441
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   Farm Progress, 2022, HIGH TEMP EFF CORN S
   Goldblum D, 2009, PHYS GEOGR, V30, P27, DOI 10.2747/0272-3646.30.1.27
   Guilpart N, 2022, NAT FOOD, V3, P255, DOI 10.1038/s43016-022-00481-3
   Hallick G., 2019, W PRODUCER
   Hatfield JL, 2011, AGRON J, V103, P351, DOI 10.2134/agronj2010.0303
   Hawkins E, 2009, B AM METEOROL SOC, V90, P1095, DOI 10.1175/2009BAMS2607.1
   He WT, 2018, AGR SYST, V159, P187, DOI 10.1016/j.agsy.2017.01.025
   Jägermeyr J, 2021, NAT FOOD, V2, P875, DOI 10.1038/s43016-021-00400-y
   Jiang BJ, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0106042
   Jiang QJ, 2020, SCI TOTAL ENVIRON, V705, DOI 10.1016/j.scitotenv.2019.135969
   Jing Q, 2017, CAN J PLANT SCI, V97, P1152, DOI 10.1139/cjps-2017-0065
   Kothari K, 2022, EUR J AGRON, V135, DOI 10.1016/j.eja.2022.126482
   Lange Stefan, 2021, Zenodo
   Lange S, 2019, GEOSCI MODEL DEV, V12, P3055, DOI 10.5194/gmd-12-3055-2019
   Leakey ADB, 2009, J EXP BOT, V60, P2859, DOI 10.1093/jxb/erp096
   Li GL, 2018, CLIMATIC CHANGE, V148, P249, DOI 10.1007/s10584-018-2199-x
   Mourtzinis S, 2017, AGRON J, V109, P1397, DOI 10.2134/agronj2016.10.0581
   Ojo T., 2021, GROWING IMPACTS MULT
   Onat B, 2017, TURK J FIELD CROPS, V22, P178, DOI 10.17557/tjfc.356210
   Ontario Soybean and Canola Committee, 2022, SOYB MAT GROUP CONV
   Ort NWW, 2022, CAN J PLANT SCI, V102, P812, DOI [10.1139/cjps-2021-0235, 10.1139/CJPS-2021-0235]
   Ort NWW, 2022, PLANTS-BASEL, V11, DOI 10.3390/plants11070871
   Payant C, 2021, AGRON J, V113, P4945, DOI 10.1002/agj2.20894
   Pettapiece W.W., 1995, TECH B CTR LAND BIOL, P90
   Qian BD, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-99378-7
   Qian BD, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab88fc
   Qian BD, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab17fb
   Qian BD, 2013, CAN J SOIL SCI, V93, P243, DOI [10.4141/CJSS2012-053, 10.4141/cjss2012-053]
   Qian BD, 2010, J APPL METEOROL CLIM, V49, P604, DOI 10.1175/2009JAMC2275.1
   Rotz C.A., 2015, Integrated farm system model: Reference manual
   RUNGE ECA, 1960, AGRON J, V52, P245, DOI 10.2134/agronj1960.00021962005200050001x
   Salem MA, 2007, CROP SCI, V47, P219, DOI 10.2135/cropsci2006.07.0443
   Sepiol CJ, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.02073
   Sharma N, 2022, AGRONOMY-BASEL, V12, DOI 10.3390/agronomy12040806
   Souza P.J., 2013, REV CIENC AGRAR-PORT, V56, P371
   Soy Canada, 2022, GROW AR
   Soy Canada, 2022, PROD
   Soy Canada, 2017, 10 MILL ACR OPP
   St-Marseille AFG, 2019, AGR FOREST METEOROL, V264, P178, DOI 10.1016/j.agrformet.2018.10.008
   Statistics Canada, 2022, EST AR YIELD PROD CO
   Tebaldi C, 2007, PHILOS T R SOC A, V365, P2053, DOI 10.1098/rsta.2007.2076
   Thivierge MN, 2017, AGR SYST, V157, P241, DOI 10.1016/j.agsy.2017.07.003
   van Vuuren DP, 2017, GLOBAL ENVIRON CHANG, V42, P148, DOI [10.1016/j.gloenvcha.2016.10.009, 10.1016/j.gloenvcha.2016.05.009]
   Wrather JA, 2001, CAN J PLANT PATHOL, V23, P115
   Yu CZ, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-91192-5
   Zhang Y, 2019, METEOROL APPL, V26, P74, DOI 10.1002/met.1738
NR 63
TC 6
Z9 6
U1 7
U2 15
PU CANADIAN SCIENCE PUBLISHING
PI OTTAWA
PA 123 Slater Street, Suite 610, OTTAWA, ON K1P 5H2, CANADA
SN 0008-4220
EI 1918-1833
J9 CAN J PLANT SCI
JI Can. J. Plant Sci.
PD 2022 DEC 15
PY 2022
DI 10.1139/CJPS-2022-0233
EA DEC 2022
PG 14
WC Agronomy; Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Plant Sciences
GA 9E3ZG
UT WOS:000936727500001
OA hybrid
DA 2025-01-10
ER

PT J
AU de Oliveira, AKB
   Battemarco, BP
   Barbaro, G
   Gomes, MVR
   Cabral, FM
   Bezerra, RDP
   Rutigliani, VD
   Lourenço, IB
   Machado, RK
   Rezende, OM
   de Magalhaes, PC
   Veról, AP
   Miguez, MG
AF Beleno de Oliveira, Antonio Krishnamurti
   Battemarco, Bruna Peres
   Barbaro, Giuseppe
   Ribeiro Gomes, Maria Vitoria
   Cabral, Felipe Manoel
   Pereira Bezerra, Ronan de Oliveira
   de Araujo Rutigliani, Victoria
   Lourenco, Ianic Bigate
   Machado, Rodrigo Konrad
   Rezende, Osvaldo Moura
   de Magalhaes, Paulo Canedo
   Verol, Aline Pires
   Miguez, Marcelo Gomes
TI Evaluating the Role of Urban Drainage Flaws in Triggering Cascading
   Effects on Critical Infrastructure, Affecting Urban Resilience
SO INFRASTRUCTURES
LA English
DT Article
DE urban drainage systems; urban floods; cascade effects; urban flood
   resilience; open spaces system; blue-green infrastructure
ID BLUE-GREEN INFRASTRUCTURE; CLIMATE-CHANGE ADAPTATION; FLOOD RISK;
   URBANIZATION; DEGRADATION; MANAGEMENT; SUPPORT; SYSTEMS; HEALTH; SPACES
AB The urban drainage system plays an important role in the urban infrastructure resilience discussion. Its functional failures can trigger cascading effects on other urban systems and critical infrastructures. The main aim of this work is to investigate and quantify urban flood resilience, offering an integrated methodological approach. In this process, the flooding consequences were quantified by hydrodynamic simulations, using a case study in an exploratory research method. A set of indicators was proposed to map the cascading effects generated by floods and the consequent quantification of urban flooding resilience. Two simulation scenarios were proposed to validate the methodological assessment framework proposed in this work. The first scenario represented the current flooding situation and showed the negative effects on the city systems resulting from disordered urban growth. The second scenario considered the improvement of the drainage behavior, considering a sustainable urban drainage approach supported by the concept of blue-green infrastructure integrated with the urban open spaces system. A comprehensive flood resilience assessment over time was conducted by analyzing the evolution of the System Integrity Index on both scenarios. The results showed that water dynamics play an important role in ordering land use and that preserving water spaces can efficiently respond to urban developing threats, dealing with floods in an earlier development moment, proving the importance of the drainage system as a preliminary structuring driver for supporting a sustainable urban planning, ordered according to environmental constraints defined by water dynamics.
C1 [Beleno de Oliveira, Antonio Krishnamurti; Battemarco, Bruna Peres; Cabral, Felipe Manoel; Lourenco, Ianic Bigate; de Magalhaes, Paulo Canedo; Verol, Aline Pires; Miguez, Marcelo Gomes] Univ Fed Rio de Janeiro, COPPE, Programa Engn Civil, BR-21941909 Rio De Janeiro, Brazil.
   [Barbaro, Giuseppe] Mediterranean Univ Reggio Calabria, Dept Civil Engn Energy Environm & Mat, I-89122 Reggio Di Calabria, Italy.
   [Ribeiro Gomes, Maria Vitoria; Verol, Aline Pires] Univ Fed Rio de Janeiro, Fac Arquitetura & Urbanismo, Programa Posgrad Arquitetura, BR-21941590 Rio De Janeiro, Brazil.
   [Ribeiro Gomes, Maria Vitoria; de Araujo Rutigliani, Victoria; Verol, Aline Pires] Univ Fed Rio de Janeiro, Fac Arquitetura & Urbanismo, BR-21941590 Rio De Janeiro, Brazil.
   [Pereira Bezerra, Ronan de Oliveira; Machado, Rodrigo Konrad; Miguez, Marcelo Gomes] Univ Fed Rio de Janeiro, Escola Politecn, Programa Engn Urbana, BR-21941909 Rio De Janeiro, Brazil.
   [Rezende, Osvaldo Moura; de Magalhaes, Paulo Canedo; Miguez, Marcelo Gomes] Univ Fed Rio de Janeiro, Escola Politecn, Programa Engn Ambiental, BR-21941909 Rio De Janeiro, Brazil.
   [Rezende, Osvaldo Moura; de Magalhaes, Paulo Canedo; Miguez, Marcelo Gomes] Univ Fed Rio de Janeiro, Escola Quim, BR-21941909 Rio De Janeiro, Brazil.
C3 Universidade Federal do Rio de Janeiro; Universita Mediterranea di
   Reggio Calabria; Universidade Federal do Rio de Janeiro; Universidade
   Federal do Rio de Janeiro; Universidade Federal do Rio de Janeiro;
   Universidade Federal do Rio de Janeiro; Universidade Federal do Rio de
   Janeiro
RP de Oliveira, AKB (corresponding author), Univ Fed Rio de Janeiro, COPPE, Programa Engn Civil, BR-21941909 Rio De Janeiro, Brazil.
EM krishnamurti@poli.ufrj.br
RI Oliveira, Antonio/GRS-6118-2022; Gomes, Maria Vitória
   Ribeiro/JFS-7792-2023; Rezende, Osvaldo/P-4740-2019; VEROL, ALINE
   PIRES/R-2750-2017; Bigate Lourenco, Ianic/IWM-7174-2023; Miguez, Marcelo
   Gomes/A-3252-2013
OI de Araujo Rutigliani, Victoria/0000-0002-6393-7808; VEROL, ALINE
   PIRES/0000-0001-7793-1143; Moura Rezende, Osvaldo/0000-0002-9424-7906;
   Battemarco, Bruna/0000-0003-1388-4688; Bigate Lourenco,
   Ianic/0000-0002-3524-8191; BARBARO, Giuseppe/0000-0002-8799-0224;
   Miguez, Marcelo Gomes/0000-0003-4206-4013; Beleno de Oliveira, Antonio
   Krishnamurti/0000-0002-7334-1928
FU Fundacao Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de
   Janeiro (FAPERJ) [E-26/200.417/2021, E-26/201.404/2021,
   E-26/200.270/2017]; Conselho Nacional de Desenvolvimento Cientifico e
   Tecnologico-Brasil (CNPq) [303862/2020-3, 142284/2018-1]; Coordenacao de
   Aperfeicoamento de Pessoal de Nivel Superior-Brasil (CAPES) [001,
   1526717, 88887.485239/2020-00, 88887.495814/2020-00]; Programa
   Institucional de Bolsa de Iniciacao Cientifica from the Federal
   University of Rio de Janeiro (PIBIC-UFRJ) [169 CEG/CEPG 2020]
FX This research was funded by the Fundacao Carlos Chagas Filho de Amparo a
   Pesquisa do Estado do Rio de Janeiro (FAPERJ) grant number
   [E-26/200.417/2021; E-26/201.404/2021; E-26/200.270/2017]; by the
   Conselho Nacional de Desenvolvimento Cientifico e Tecnologico-Brasil
   (CNPq) grant number [303862/2020-3; 142284/2018-1]; by the Coordenacao
   de Aperfeicoamento de Pessoal de Nivel Superior-Brasil (CAPES) grant
   number [Finance Code 001; 1526717; 88887.485239/2020-00;
   88887.495814/2020-00]; and by the Programa Institucional de Bolsa de
   Iniciacao Cientifica from the Federal University of Rio de Janeiro
   (PIBIC-UFRJ) grant number [Edital no 169 CEG/CEPG 2020]. We also
   acknowledge the UNESCO Chair for Urban Drainage in Regions of Coastal
   Lowlands from the Federal University of Rio de Janeiro, to which this
   research is linked.
CR Ahadzie DK, 2022, GEOJOURNAL, V87, P3133, DOI 10.1007/s10708-021-10425-2
   Ahmed S, 2019, LAND-BASEL, V8, DOI 10.3390/land8090138
   Alderman K, 2012, ENVIRON INT, V47, P37, DOI 10.1016/j.envint.2012.06.003
   Almaaitah T, 2021, BLUE-GREEN SYST, V3, P223, DOI 10.2166/bgs.2021.016
   Almaleh A, 2022, INFRASTRUCTURES-BASE, V7, DOI 10.3390/infrastructures7010003
   Alves A, 2019, J ENVIRON MANAGE, V239, P244, DOI 10.1016/j.jenvman.2019.03.036
   Auliagisni W, 2022, PROG DISASTER SCI, V14, DOI 10.1016/j.pdisas.2022.100229
   Barbedo J, 2014, ECOL SOC, V19, DOI 10.5751/ES-06482-190254
   Battemarco BP, 2022, J CLEAN PROD, V333, DOI 10.1016/j.jclepro.2021.129993
   de Oliveira AKB, 2019, WATER SCI TECHNOL, V79, P2095, DOI 10.2166/wst.2019.211
   Brody SD, 2013, LAND USE POLICY, V32, P89, DOI 10.1016/j.landusepol.2012.10.017
   Cacciotti R, 2021, CLIM RISK MANAG, V32, DOI 10.1016/j.crm.2021.100301
   Capps KA, 2016, FRESHW SCI, V35, P429, DOI 10.1086/684945
   Chandrasenalo DCN, 2017, ADV SCI LETT, V23, P1407, DOI 10.1166/asl.2017.8388
   Chen KF, 2019, WATER-SUI, V11, DOI 10.3390/w11040830
   da Silva JMC, 2017, PERSPECT ECOL CONSER, V15, P32, DOI 10.1016/j.pecon.2016.11.005
   de Bruijn KM, 2019, WATER-SUI, V11, DOI 10.3390/w11030517
   Dewan AM., 2013, Floods in a megacity: geospatial techniques in assessing hazards, risk and vulnerability
   Dubé J, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13020804
   Dueñas-Osorio L, 2009, STRUCT SAF, V31, P157, DOI 10.1016/j.strusafe.2008.06.007
   Esmaiel A, 2022, PROG DISASTER SCI, V15, DOI 10.1016/j.pdisas.2022.100245
   Filazzola A, 2019, J APPL ECOL, V56, P2131, DOI 10.1111/1365-2664.13475
   Gehrels H., 2016, DESIGNING GREEN BLUE, P111
   Gharib Z, 2022, J COMPUT DES ENG, V9, P1135, DOI 10.1093/jcde/qwac042
   Ghofrani Z., 2017, International Journal of Environment and Sustainability, V6, DOI DOI 10.24102/IJES.V6I1.728
   Gibson MJ, 2020, J HYDROINFORM, V22, P77, DOI 10.2166/hydro.2019.032
   Guimaraes L.F., 2020, P 2 SDEWES C, P1
   Ha H, 2023, ENVIRON DEV SUSTAIN, V25, P1101, DOI 10.1007/s10668-021-02041-4
   Haddad EA, 2015, HABITAT INT, V45, P106, DOI 10.1016/j.habitatint.2014.06.023
   He Y., 2022, Mobility and resilience: A global assessment of flood impacts on road transportation networks
   Hoyle H, 2017, LANDSCAPE URBAN PLAN, V164, P109, DOI 10.1016/j.landurbplan.2017.03.011
   IRM, 2017, I RIO METR STRAT PLA
   Kazmierczak A., 2010, A Database of Case Studies
   Kuzniecow Bacchin T., 2014, P 13 INT C URB DRAIN, P1
   Li CL, 2022, J HYDROL, V610, DOI 10.1016/j.jhydrol.2022.127838
   Liu XY, 2021, INT J DISAST RISK RE, V55, DOI 10.1016/j.ijdrr.2021.102106
   Lourenço IB, 2020, J CLEAN PROD, V276, DOI 10.1016/j.jclepro.2020.123096
   Machado ACM, 2020, J CLEAN PROD, V254, DOI 10.1016/j.jclepro.2020.120000
   McPhearson T, 2022, ONE EARTH, V5, P505, DOI 10.1016/j.oneear.2022.04.007
   Meerow S, 2017, LANDSCAPE URBAN PLAN, V159, P62, DOI 10.1016/j.landurbplan.2016.10.005
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Miguez M.G., 2018, URBAN AGGLOMERATION
   Miguez MG, 2019, GREEN ENERGY TECHNOL, P490, DOI 10.1007/978-3-319-99867-1_84
   Miguez MG, 2019, J CLEAN PROD, V231, P1281, DOI 10.1016/j.jclepro.2019.05.187
   Miguez MG, 2017, WATER-SUI, V9, DOI 10.3390/w9060445
   Mohammed MH, 2021, RESULTS ENG, V12, DOI 10.1016/j.rineng.2021.100307
   O'Donnell E, 2020, BLUE-GREEN SYST, V2, P28, DOI 10.2166/bgs.2019.199
   Paolinelli G, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14042316
   Petit-Boix A, 2017, J CLEAN PROD, V162, P601, DOI 10.1016/j.jclepro.2017.06.047
   Rezende OM, 2020, J CLEAN PROD, V255, DOI 10.1016/j.jclepro.2020.120251
   Ritchie H., Natural Disasters
   Sathurshan M, 2022, INFRASTRUCTURES-BASE, V7, DOI 10.3390/infrastructures7050067
   Secron MB, 2017, ECOL INDIC, V83, P427, DOI 10.1016/j.ecolind.2017.08.002
   Sesana E, 2021, WIRES CLIM CHANGE, V12, DOI 10.1002/wcc.710
   Silveira ALL, 2002, WATER SCI TECHNOL, V45, P31, DOI 10.2166/wst.2002.0114
   SIM LK, 1991, J ENVIRON MANAGE, V32, P195, DOI 10.1016/S0301-4797(05)80051-9
   Sohail MT, 2020, DESALIN WATER TREAT, V181, P239, DOI 10.5004/dwt.2020.25119
   Southon GE, 2018, LANDSCAPE URBAN PLAN, V172, P1, DOI [10.1016/j.andurbplan.2017.12.002, 10.1016/j.landurbplan.2017.12.002]
   Su X, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13193924
   Thorne CR, 2018, J FLOOD RISK MANAG, V11, pS960, DOI 10.1111/jfr3.12218
   Toledo-Gallegos VM, 2022, ECON ANAL POLICY, V75, P114, DOI 10.1016/j.eap.2022.04.015
   Tubridy F, 2022, LAND USE POLICY, V114, DOI 10.1016/j.landusepol.2021.105960
   Uddin K, 2021, PROG DISASTER SCI, V11, DOI 10.1016/j.pdisas.2021.100185
   UNISDR, 2017, EC LOSS POV DIS 1998, P33
   Urrutia JM, 2022, PROG DISASTER SCI, V15, DOI 10.1016/j.pdisas.2022.100233
   Veról AP, 2019, J CLEAN PROD, V239, DOI 10.1016/j.jclepro.2019.118058
   Welch K, 2022, WATER-SUI, V14, DOI 10.3390/w14050753
   Wisniewski S, 2021, ENVIRON HAZARDS-UK, V20, P300, DOI 10.1080/17477891.2020.1810608
   Yazdani M, 2022, SAFETY SCI, V155, DOI 10.1016/j.ssci.2022.105867
   Yazdani M, 2022, PROG DISASTER SCI, V13, DOI 10.1016/j.pdisas.2022.100218
   Yin J, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11020349
NR 71
TC 11
Z9 11
U1 10
U2 47
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2412-3811
J9 INFRASTRUCTURES-BASE
JI Infrastructures-Basel
PD NOV
PY 2022
VL 7
IS 11
AR 153
DI 10.3390/infrastructures7110153
PG 26
WC Construction & Building Technology; Engineering, Civil; Transportation
   Science & Technology
WE Emerging Sources Citation Index (ESCI)
SC Construction & Building Technology; Engineering; Transportation
GA 7U8EZ
UT WOS:000912361500001
OA gold
DA 2025-01-10
ER

PT J
AU Zugic, JI
   Pisaric, MFJ
   McKenzie, SM
   Parker, WC
   Elliott, KA
   Arain, MA
AF Zugic, Jessica I.
   Pisaric, Michael F. J.
   McKenzie, Shawn M.
   Parker, William C.
   Elliott, Ken A.
   Arain, M. Altaf
TI The Impact of Variable Retention Harvesting on Growth and Carbon
   Sequestration of a Red Pine (<i>Pinus resinosa</i> Ait.) Plantation
   Forest in Southern Ontario, Canada
SO FRONTIERS IN FORESTS AND GLOBAL CHANGE
LA English
DT Article
DE Pinus resinosa; forest management; carbon sequestration; variable
   retention harvesting; dendrochronology; tree rings
ID CLIMATE-CHANGE; RADIAL-GROWTH; DOUGLAS-FIR; TREE GROWTH;
   PACIFIC-NORTHWEST; STAND; ADAPTATION; MANAGEMENT; DYNAMICS;
   VULNERABILITY
AB As atmospheric carbon dioxide concentrations continue to rise and global temperatures increase, there is growing concern about the sustainability, health, and carbon sequestration potential of forest ecosystems. Variable retention harvesting (VRH) has been suggested to be a potential method to increase forest biodiversity, growth, and carbon (C) sequestration. A field trial was established in an 88-year-old red pine (Pinus resinosa Ait.) plantation in southern Ontario, Canada, using a completely randomized design to examine the response of tree productivity and other forest values to five harvesting treatments: 33% aggregate retention (33A), 55% aggregate retention (55A), 33% dispersed retention (33D), and 55% dispersed retention (55D) in comparison to an unharvested control (CN). In this study, we explored the impacts of VRH on aboveground stem radial growth and annual C increment. Standard dendrochronological methods and allometric equations were used to quantify tree- and stand-level treatment effects during a five-year pre-harvest (2009-2013) and post-harvest (2014-2018) period. Tree-level growth and C increment were increased by the dispersed retention pattern regardless of retention level. At the stand level, the total C increment was highest at greater retention levels and did not vary with retention pattern. These results suggest that the choice of retention level and pattern can have a large influence on management objectives as they relate to timber production, climate change adaptation, and/or climate change mitigation.
C1 [Zugic, Jessica I.; Pisaric, Michael F. J.] Brock Univ, Environm Sustainabil Res Ctr, St Catharines, ON, Canada.
   [Pisaric, Michael F. J.] Brock Univ, Dept Geog & Tourism Studies, St Catharines, ON, Canada.
   [McKenzie, Shawn M.; Arain, M. Altaf] McMaster Univ, Sch Earth Environm & Soc, Hamilton, ON, Canada.
   [McKenzie, Shawn M.; Arain, M. Altaf] McMaster Univ, McMaster Ctr Climate Change, Hamilton, ON, Canada.
   [Parker, William C.] Ontario Minist Northern Dev Mines Nat Resources &, Sci & Res Branch, Sault Ste Marie, ON, Canada.
   [Elliott, Ken A.] Ontario Minist Northern Dev Mines Nat Resources &, Integrat Branch, Peterborough, ON, Canada.
C3 Brock University; Brock University; McMaster University; McMaster
   University
RP Pisaric, MFJ (corresponding author), Brock Univ, Environm Sustainabil Res Ctr, St Catharines, ON, Canada.; Pisaric, MFJ (corresponding author), Brock Univ, Dept Geog & Tourism Studies, St Catharines, ON, Canada.
EM mpisaric@brocku.ca
RI Arain, M./ABA-9750-2020
FU Global Water Futures Program through the Southern Forest Water Futures
   project; Natural Sciences and Engineering Research Council
FX This research project was financially supported by the Global Water
   Futures Program through the Southern Forest Water Futures project [MA
   (PI) and MP (Co-PI)] as well as Natural Sciences and Engineering
   Research Council grant (MP).
CR Abella SR, 2010, ENVIRON MANAGE, V46, P391, DOI 10.1007/s00267-010-9538-7
   Ashiq MW, 2016, FOREST ECOL MANAG, V372, P109, DOI 10.1016/j.foreco.2016.04.008
   Aubry KB, 2009, FOREST ECOL MANAG, V258, P398, DOI 10.1016/j.foreco.2009.03.013
   Babst F, 2014, OECOLOGIA, V176, P307, DOI 10.1007/s00442-014-3031-6
   Bebber DP, 2004, TREES-STRUCT FUNCT, V18, P29, DOI 10.1007/s00468-003-0274-y
   Beese WJ, 2019, ECOL PROCESS, V8, DOI 10.1186/s13717-019-0181-9
   Bladon KD, 2006, AGR FOREST METEOROL, V138, P104, DOI 10.1016/j.agrformet.2006.03.015
   Borczon E.L., 1982, EVERGREEN CHALLENGE
   Bradford JB, 2017, FRONT ECOL ENVIRON, V15, P11, DOI 10.1002/fee.1445
   Buckman R.E., 2006, NC271 USDA FOR SERV, P114
   Cayford J.H., 1968, 1240 DEPT FISH FOR F, P68
   CHEN JQ, 1992, ECOL APPL, V2, P387, DOI 10.2307/1941873
   Cienciala E., 2008, Journal of Forest Science (Prague), V54, P109, DOI 10.17221/2906-JFS
   Colombo S.J., 2005, CCRR03 ONT MIN NAT R, P114
   Crins WJ, 2009, TR01 SIB TER IMA
   D'Amato AW, 2013, ECOL APPL, V23, P1735, DOI 10.1890/13-0677.1
   D'Amato AW, 2011, FOREST ECOL MANAG, V262, P803, DOI 10.1016/j.foreco.2011.05.014
   Dai LM, 2013, FOREST ECOL MANAG, V300, P106, DOI 10.1016/j.foreco.2012.06.046
   Davis SC, 2009, FOREST ECOL MANAG, V258, P2101, DOI 10.1016/j.foreco.2009.08.009
   Deal RL, 2002, FOREST ECOL MANAG, V159, P173, DOI 10.1016/S0378-1127(00)00727-1
   Dlugokencky E, 2018, Trends in atmospheric carbon dioxide
   Dwyer JM, 2010, J APPL ECOL, V47, P681, DOI 10.1111/j.1365-2664.2010.01775.x
   Dye A, 2016, ECOSPHERE, V7, DOI 10.1002/ecs2.1454
   Elliott KA, 1998, FOREST CHRON, V74, P850, DOI 10.5558/tfc74850-6
   Franklin J. R., 2007, General Technical Report - Northern Research Station, USDA Forest Service
   Franklin JF, 2020, ECOL PROCESS, V9, DOI 10.1186/s13717-019-0205-5
   Gauthier S, 2014, ENVIRON REV, V22, P256, DOI 10.1139/er-2013-0064
   Gilmore D.W., 2006, NCGTR264 USDA FOR SE, P55
   Girardin MP, 2006, J CLIMATE, V19, P1922, DOI 10.1175/JCLI3716.1
   GRAUMLICH LJ, 1993, CAN J FOREST RES, V23, P133, DOI 10.1139/x93-020
   HOLMES R L, 1983, Tree-Ring Bulletin, V43, P69
   Holmes R.L., 1994, Dendrochronology program library user's manual. Laboratory of tree-ring research
   Horton K.W., 1960, CAN DEP N AFFAIRS NA, P124
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Johnson J.E., 1995, REGIONAL SILVICULTUR, Vthird, P81
   King JS, 2007, CAN J FOREST RES, V37, P93, DOI 10.1139/X06-217
   Kottek M, 2006, METEOROL Z, V15, P259, DOI 10.1127/0941-2948/2006/0130
   Lambert MC, 2005, CAN J FOREST RES, V35, P1996, DOI 10.1139/X05-112
   Lamlom SH, 2003, BIOMASS BIOENERG, V25, P381, DOI 10.1016/S0961-9534(03)00033-3
   Larsson L., 2018, CYBIS COORECORDER V9
   Latham P, 2002, TREE PHYSIOL, V22, P137, DOI 10.1093/treephys/22.2-3.137
   Lindsey R., 2018, Climate Change: atmospheric carbon Dioxide
   Magruder M, 2013, CAN J FOREST RES, V43, P878, DOI 10.1139/cjfr-2013-0088
   Maguire DA, 2006, ALLG FORST JAGDZTG, V177, P120
   Martin-Benito D, 2021, SCI TOTAL ENVIRON, V765, DOI 10.1016/j.scitotenv.2020.142737
   McDonald RI, 2004, ECOLOGY, V85, P2258, DOI 10.1890/03-0313
   Nowacki GJ, 1997, ECOL MONOGR, V67, P225, DOI 10.1890/0012-9615(1997)067[0225:RGACFR]2.0.CO;2
   Nunery JS, 2010, FOREST ECOL MANAG, V259, P1363, DOI 10.1016/j.foreco.2009.12.029
   OMNRF, 2015, Forest Management Guide to Silviculture in the Great Lakes -St. Lawrence and Boreal Forest Regions of Ontario
   Palik BJ, 2002, FOREST ECOL MANAG, V155, P347, DOI 10.1016/S0378-1127(01)00571-0
   Palik BJ, 2019, ECOL PROCESS, V8, DOI 10.1186/s13717-019-0171-y
   Palik BJ, 2014, ECOL APPL, V24, P2078, DOI 10.1890/13-1173.1
   Pan YD, 2011, SCIENCE, V333, P988, DOI 10.1126/science.1201609
   Parker WC, 2008, FOREST CHRON, V84, P83, DOI 10.5558/tfc84083-1
   Peichl M, 2010, AGR FOREST METEOROL, V150, P1090, DOI 10.1016/j.agrformet.2010.04.008
   Peterson D.L., 2014, CLIMATE CHANGE US FO, P261
   Pompa-García M, 2018, TREE-RING RES, V74, P196, DOI 10.3959/1536-1098-74.2.196
   Powers MD, 2010, TREE PHYSIOL, V30, P326, DOI 10.1093/treephys/tpp119
   Powers MD, 2009, CAN J FOREST RES, V39, P109, DOI 10.1139/X08-162
   Puettmann KJ, 2016, FORESTS, V7, DOI 10.3390/f7120310
   Puettmann KJ, 2011, J FOREST, V109, P321
   Roberts SD, 2008, FOREST ECOL MANAG, V255, P2771, DOI 10.1016/j.foreco.2008.01.043
   Rudolf P.O., 1990, AGR HDB, V2, P877
   Sherich K, 2007, CAN J FOREST RES, V37, P2096, DOI 10.1139/X07-105
   Sohn JA, 2016, FOREST ECOL MANAG, V380, P261, DOI 10.1016/j.foreco.2016.07.046
   Speer J.H., 2011, FUNDAMENTALS TREE RI
   Stiell W.M., 1959, 80 DEPT NO AFF NAT R, P18
   Stokes M.A., 1968, Tree-Ring Dating
   SWCRMP (St. Williams Conservation Reserve Management Plan), 2007, EX SUMM ONT MIN NAT
   Unwin G, 2000, 64 STAT FOR NEW S WA
   Williamson TB, 2019, FOREST CHRON, V95, P76, DOI 10.5558/tfc2019-015
   Xing DL, 2018, FOREST ECOL MANAG, V411, P187, DOI 10.1016/j.foreco.2018.01.026
   YAMAGUCHI DK, 1991, CAN J FOREST RES, V21, P414, DOI 10.1139/x91-053
   YOUNGBLOOD AP, 1991, CAN J FOREST RES, V21, P410, DOI 10.1139/x91-052
NR 74
TC 4
Z9 5
U1 1
U2 11
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2624-893X
J9 FRONT FOR GLOB CHANG
JI Front. For. Glob. Change
PD DEC 3
PY 2021
VL 4
AR 725890
DI 10.3389/ffgc.2021.725890
PG 13
WC Ecology; Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Forestry
GA XQ3MS
UT WOS:000731452900001
DA 2025-01-10
ER

PT J
AU Fernandez, E
   Caspersen, L
   Illert, I
   Luedeling, E
AF Fernandez, Eduardo
   Caspersen, Lars
   Illert, Ilja
   Luedeling, Eike
TI Warm winters challenge the cultivation of temperate species in South
   America-a spatial analysis of chill accumulation
SO CLIMATIC CHANGE
LA English
DT Article
DE Dormancy; Chill requirement; Deciduous trees; Temperate species; Chill
   map
ID DORMANCY BREAKING; DYNAMIC-MODEL; FRUIT-TREES; REQUIREMENTS; DEPENDENCE;
   PLANTS
AB Winter chill accumulation plays a crucial role in determining the moment of bud burst in temperate fruit and nut trees, and insufficient chill can greatly limit yield potentials. To assess future cultivation options for such species in South America, we estimated winter chill through a spatial analysis. We used historical data (1980-2017) from 158 weather stations to calibrate a weather generator and produce temperature data for 10 historical and 60 future scenarios. We computed Safe Winter Chill (SWC, corresponding to the 10th quantile of a chill distribution) for the period 1980-2017 and for all historical and future weather scenarios and developed a framework to interpolate SWC for the continent using the Kriging method. To improve the interpolation, we applied a 3D correction model based on two co-variables (means of daily temperature extremes in July). Our results suggest important chill declines in southern Brazil and central Chile. By 2050 under the global warming scenario RCP4.5 (Representative Concentration Pathway), absolute SWC in these regions may reach a median of 18.7 and 39.6 Chill Portions (CP), respectively. Projections are most alarming for a strong global warming scenario (RCP8.5). In southern South America, adequate SWC levels of about 60 CP may be expected even under the RCP8.5 scenario. Our results highlight the need for climate change adaptation measures to secure temperate fruit production in important growing regions of South America. The procedure we developed may help farmers and practitioners across South America estimate future SWC to adapt their orchards to future challenges.
C1 [Fernandez, Eduardo; Caspersen, Lars; Illert, Ilja; Luedeling, Eike] Univ Bonn, Inst Crop Sci & Resource Conservat INRES, Dept Hort Sci, D-53121 Bonn, Germany.
C3 University of Bonn
RP Fernandez, E (corresponding author), Univ Bonn, Inst Crop Sci & Resource Conservat INRES, Dept Hort Sci, D-53121 Bonn, Germany.
EM efernand@uni-bonn.de
RI Fernandez, Eduardo/V-3324-2019; Luedeling, Eike/I-3269-2019
OI Fernandez, Eduardo/0000-0002-6949-9685; Caspersen,
   Lars/0009-0000-3057-7327
FU Partnership for Research and Innovation in the Mediterranean Area
   (PRIMA); Partnership for Research and Innovation in the Mediterranean
   Area (PRIMA), a program under H2020, the European Union's Framework
   program for research and innovation (German Federal Ministry of
   Education and Research) [01DH20012]; Bundesministerium fur Bildung und
   Forschung [,01DH20012]; Projekt DEAL
FX Open Access funding enabled and organized by Projekt DEAL. We thank the
   Partnership for Research and Innovation in the Mediterranean Area
   (PRIMA), a program supported under H2020, the European Union's Framework
   program for research and innovation, for funding this research within
   the AdaMedOr project (grant number 01DH20012 of the German Federal
   Ministry of Education and Research). Bundesministerium fur Bildung und
   Forschung,01DH20012,Eike Luedeling
CR Alburquerque N, 2008, ENVIRON EXP BOT, V64, P162, DOI 10.1016/j.envexpbot.2008.01.003
   Almorox J, 2005, ENERG CONVERS MANAGE, V46, P1465, DOI 10.1016/j.enconman.2004.07.007
   [Anonymous], 2021, GLOBAL CHANGE
   Benmoussa H, 2020, CLIMATIC CHANGE, V162, P1249, DOI 10.1007/s10584-020-02774-7
   Buerkert A, 2020, CLIMATIC CHANGE, V162, P1399, DOI 10.1007/s10584-020-02862-8
   CAFI, 2019, PROD PER MANZ ARG
   Campoy JA, 2011, SCI HORTIC-AMSTERDAM, V130, P357, DOI 10.1016/j.scienta.2011.07.011
   Cordano E., 2019, RMAWGEN R MULTISITE, V1, P7
   Darbyshire R, 2016, CLIMATIC CHANGE, V137, P541, DOI 10.1007/s10584-016-1692-3
   del Barrio R, 2021, INT J CLIMATOL, V41, P726, DOI 10.1002/joc.6649
   Delgado A, 2021, SCI HORTIC-AMSTERDAM, V283, DOI 10.1016/j.scienta.2021.110093
   Denardi F, 2019, CROP BREED APPL BIOT, V19, P347, DOI 10.1590/1984-70332019v19n3p47
   Egea JA, 2021, TREE PHYSIOL, V41, P644, DOI 10.1093/treephys/tpaa054
   EREZ A, 1990, ACTA HORTIC, V276, P165, DOI 10.17660/ActaHortic.1990.276.18
   Erez A, 2000, TEMPERATE FRUIT CROPS IN WARM CLIMATES, P17
   Fadón E, 2020, AGRONOMY-BASEL, V10, DOI 10.3390/agronomy10030409
   Fadón E, 2020, AGRONOMY-BASEL, V10, DOI 10.3390/agronomy10020241
   Fernandez E, 2020, DORMANCYR FUNCTIONS
   Fernandez E, 2020, EUR J AGRON, V119, DOI 10.1016/j.eja.2020.126103
   Fernandez E, 2020, AGRONOMY-BASEL, V10, DOI 10.3390/agronomy10020274
   Fernandez E, 2020, CLIMATIC CHANGE, V159, P423, DOI 10.1007/s10584-019-02608-1
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   FISHMAN S, 1987, J THEOR BIOL, V126, P309, DOI 10.1016/S0022-5193(87)80237-0
   FISHMAN S, 1987, J THEOR BIOL, V124, P473, DOI 10.1016/S0022-5193(87)80221-7
   Girvetz EH, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0008320
   IPCC, 2018, Global Warming of 1.5 C. An IPCC Special Report on the Impacts of Global Warming of 1.5 C Above Pre-Industrial Levels and Related Global Greenhouse Gas Emission Pathways
   Kwon JH, 2020, AGR FOREST METEOROL, V288, DOI 10.1016/j.agrformet.2020.108009
   Lavee S., 1997, Australian Journal of Grape and Wine Research, V3, P31, DOI 10.1111/j.1755-0238.1997.tb00114.x
   LINVILL DE, 1990, HORTSCIENCE, V25, P14, DOI 10.21273/HORTSCI.25.1.14
   Luedeling E, 2020, R PACKAGE VERSION 07
   Luedeling E, 2021, AGR FOREST METEOROL, V307, DOI 10.1016/j.agrformet.2021.108491
   Luedeling E, 2018, INT J BIOMETEOROL, V62, P1799, DOI 10.1007/s00484-018-1582-7
   Luedeling E, 2012, SCI HORTIC-AMSTERDAM, V144, P218, DOI 10.1016/j.scienta.2012.07.011
   Luedeling E, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0020155
   Luedeling E, 2011, INT J BIOMETEOROL, V55, P411, DOI 10.1007/s00484-010-0352-y
   Luedeling E, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006166
   Masson-Delmotte V., 2021, SUMMARY POLICYMAKERS
   Nguyen N, 2021, J CLEAN PROD, V303, DOI 10.1016/j.jclepro.2021.126828
   Nychka D., 2021, FIELDS TOOLS SPATIAL
   ODEPA, 2017, CHIL AGR OV
   Pachauri RK, 2014, 2014 IEEE STUDENTS' CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER SCIENCE (SCEECS)
   Parkes H, 2020, SCI HORTIC-AMSTERDAM, V260, DOI 10.1016/j.scienta.2019.108858
   Pérez FJ, 2005, J PLANT PHYSIOL, V162, P301, DOI 10.1016/j.jplph.2004.07.011
   R Core Team, 2020, R: A Language and Environment for Statistical Computing
   Rahemi M, 2004, J HORTIC SCI BIOTECH, V79, P823, DOI 10.1080/14620316.2004.11511849
   RICHARDSON E A, 1974, Hortscience, V9, P331
   Rodríguez A, 2019, NAT HAZARD EARTH SYS, V19, P1087, DOI 10.5194/nhess-19-1087-2019
   Saure M. C., 1985, Horticultural Reviews, V7, P239, DOI 10.1002/9781118060735.ch6
   Sherman WB, 2003, ACTA HORTIC, P411, DOI 10.17660/ActaHortic.2003.622.43
   Tennekes M, 2018, J STAT SOFTW, V84, P1, DOI 10.18637/jss.v084.i06
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P5, DOI [10.1007/s10584-011-0148-z, 10.1007/s10584-011-0157-y]
   VEGIS A, 1964, ANN REV PLANT PHYSIO, V15, P185, DOI 10.1146/annurev.pp.15.060164.001153
   WEINBERGER JH, 1950, P AM SOC HORTIC SCI, V56, P122
   Wickham H., 2016, J. Stat. Softw., V2nd, DOI [10.1007/978-3-319-24277-4, DOI 10.18637/JSS.V077.B02]
   Wilks DS, 1999, PROG PHYS GEOG, V23, P329, DOI 10.1177/030913339902300302
   Wrege MS, 2010, IMPACT GLOBAL WARMIN, P31, DOI [10.17660/ActaHortic.2010.872.2, DOI 10.17660/ACTAHORTIC.2010.872.2]
   Zhang JL, 2011, HORTSCIENCE, V46, P420, DOI 10.21273/HORTSCI.46.3.420
   Zhuang WB, 2013, J EXP BOT, V64, P4953, DOI 10.1093/jxb/ert284
NR 58
TC 8
Z9 8
U1 0
U2 14
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD DEC
PY 2021
VL 169
IS 3-4
AR 28
DI 10.1007/s10584-021-03276-w
PG 19
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA XN0UD
UT WOS:000729229000001
OA hybrid
DA 2025-01-10
ER

PT J
AU Hua, T
   Zhao, WW
   Cherubini, F
   Hu, XP
   Pereira, P
AF Hua, Ting
   Zhao, Wenwu
   Cherubini, Francesco
   Hu, Xiangping
   Pereira, Paulo
TI Sensitivity and future exposure of ecosystem services to climate change
   on the Tibetan Plateau of China
SO LANDSCAPE ECOLOGY
LA English
DT Article
DE Ecosystem services; Climate change; Tibetan Plateau; Sensitivity;
   Exposure
ID NET PRIMARY PRODUCTION; TERRESTRIAL ECOSYSTEMS; ALPINE MEADOW; LAND-USE;
   TEMPERATURE; VULNERABILITY; IMPACTS; VARIABILITY; GRASSLAND; REGION
AB Context Climate change has imposed tremendous impacts on ecosystem services. Recent attempts to quantify such impacts mainly focused on a basin or larger scale, or used limited time periods that largely ignore observations of long-term trends at a fine resolution, thereby affecting the recognition of climate change's effect on ecosystem services. Objectives This study conducts a detailed and spatially explicit recognition of climate change's effect on ecosystem services and provides an intuitive map for decision-making and climate change adaptation planning. Methods We used long-term time series of ecosystem service assessments and various future climate scenarios to quantify the sensitivity and future exposure of ecosystem services to climate change on the Tibetan Plateau. Results Carbon sequestration (CS) and habitat quality experience significant growth, while water retention did not show any trend. Sensitivity patterns of these ecosystem services vary largely. For CS, more than half of the pixels showed a positive sensitivity to climate change, even though the degree of sensitivity is not high. There is substantial spatial heterogeneity in the exposure of ecosystem services to future climate changes, and high levels of future climate change increase the intensity of exposure. Conclusions This study illustrates the complex spatial association between ecosystem services and climatic drivers, and these findings can help optimize local response strategies in the context of global warming. For example, the existing protected areas have notable conservation gaps for disturbance of future climate change on ecosystem services, especially in the southeastern part of the study area.
C1 [Hua, Ting; Zhao, Wenwu] Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China.
   [Hua, Ting; Zhao, Wenwu] Beijing Normal Univ, Fac Geog Sci, Inst Land Surface Syst & Sustainable Dev, Beijing 100875, Peoples R China.
   [Cherubini, Francesco; Hu, Xiangping] Norwegian Univ Sci & Technol NTNU, Ind Ecol Programme, Trondheim, Norway.
   [Cherubini, Francesco; Hu, Xiangping] Norwegian Univ Sci & Technol NTNU, Dept Energy & Proc Engn, Trondheim, Norway.
   [Pereira, Paulo] Mykolas Romeris Univ, Environm Management Ctr, Ate G 20, LT-08303 Vilnius, Lithuania.
C3 Beijing Normal University; Beijing Normal University; Norwegian
   University of Science & Technology (NTNU); Norwegian University of
   Science & Technology (NTNU); Mykolas Romeris University
RP Zhao, WW (corresponding author), Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China.
EM zhaoww@bnu.edu.cn
RI Hu, Xiangping/ABE-8984-2020; , Wenwu Zhao/AFU-3731-2022; Cherubini,
   Francesco/AFS-6064-2022; Pereira, Paulo/O-1845-2016; zhao,
   wenwu/L-7716-2018
OI Hua, Ting/0000-0002-1605-9010; zhao, wenwu/0000-0001-5342-354X;
   Cherubini, Francesco/0000-0002-7147-4292
FU National Natural Science Foundation of China [41861134038]; Second
   Tibetan Plateau Scientific Expedition and Research Program
   [2019QZKK0405]; Norwegian Research Council [286773]; Fundamental
   Research Funds for the Central Universities
FX This research was funded by the National Natural Science Foundation of
   China (41861134038), the Second Tibetan Plateau Scientific Expedition
   and Research Program (2019QZKK0405), Norwegian Research Council (No.
   286773), and the Fundamental Research Funds for the Central
   Universities.
CR Abel C, 2021, NAT SUSTAIN, V4, P25, DOI 10.1038/s41893-020-00597-z
   Abel C, 2019, REMOTE SENS ENVIRON, V224, P317, DOI 10.1016/j.rse.2019.02.010
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Bai Y, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-05306-1
   Barbier EB, 2020, WORLD DEV, V135, DOI 10.1016/j.worlddev.2020.105082
   Barnett TP, 2005, NATURE, V438, P303, DOI 10.1038/nature04141
   Bennett EM, 2009, ECOL LETT, V12, P1394, DOI 10.1111/j.1461-0248.2009.01387.x
   Bindoff N. L., 2019, IPCC SPECIAL REPORT, P447
   Brandt M, 2018, EARTHS FUTURE, V6, P1017, DOI 10.1029/2018EF000890
   Brutsaert W, 1998, NATURE, V396, P30, DOI 10.1038/23845
   Burrows MT, 2011, SCIENCE, V334, P652, DOI 10.1126/science.1210288
   Chen BX, 2014, AGR FOREST METEOROL, V189, P11, DOI 10.1016/j.agrformet.2014.01.002
   Chen IC, 2011, SCIENCE, V333, P1024, DOI 10.1126/science.1206432
   Cleugh HA, 2007, REMOTE SENS ENVIRON, V106, P285, DOI [10.1016/j.rse.2006.07.007, 10.1016/j.rse.2007.04.015]
   Cord AF, 2017, ECOSYST SERV, V28, P264, DOI 10.1016/j.ecoser.2017.07.012
   Cortés J, 2021, GEOPHYS RES LETT, V48, DOI 10.1029/2020GL091496
   Costanza R, 1997, NATURE, V387, P253, DOI 10.1038/387253a0
   [邓兴耀 Deng Xingyao], 2017, [生态学报, Acta Ecologica Sinica], V37, P2994
   [窦睿音 Dou Ruiyin], 2015, [干旱区研究, Arid Zone Research], V32, P73
   Fan FF, 2021, LANDSCAPE ECOL, V36, P2175, DOI 10.1007/s10980-020-01044-2
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   Funk C, 2015, SCI DATA, V2, DOI 10.1038/sdata.2015.66
   Gomes E, 2021, ENVIRON RES, V197, DOI 10.1016/j.envres.2021.111101
   Grimm NB, 2013, FRONT ECOL ENVIRON, V11, P474, DOI 10.1890/120282
   Gu FX, 2017, ECOL EVOL, V7, P6736, DOI 10.1002/ece3.3029
   Guenet B, 2018, GLOBAL CHANGE BIOL, V24, P1873, DOI 10.1111/gcb.14069
   Guo L, 2015, AGR FOREST METEOROL, V201, P1, DOI 10.1016/j.agrformet.2014.10.016
   Hall LS, 1997, WILDLIFE SOC B, V25, P173
   Hao RF, 2017, AGR ECOSYST ENVIRON, V240, P171, DOI 10.1016/j.agee.2017.02.015
   Hao RF, 2017, SCI TOTAL ENVIRON, V579, P718, DOI 10.1016/j.scitotenv.2016.11.036
   Harris RB, 2010, J ARID ENVIRON, V74, P1, DOI 10.1016/j.jaridenv.2009.06.014
   Hoegh-Guldberg O, 2019, SCIENCE, V365, P1263, DOI 10.1126/science.aaw6974
   Holmgren M, 2013, NAT CLIM CHANGE, V3, P755, DOI [10.1038/NCLIMATE1906, 10.1038/nclimate1906]
   Hou YZ, 2021, LANDSCAPE ECOL, V36, P1987, DOI 10.1007/s10980-020-01140-3
   Huang J., 2018, GLOBAL CHANGE BIOL, V25, P22018
   Immerzeel WW, 2020, NATURE, V577, P364, DOI 10.1038/s41586-019-1822-y
   Immerzeel WW, 2010, SCIENCE, V328, P1382, DOI 10.1126/science.1183188
   Inácio M, 2020, GEOGR SUSTAIN, V1, P256, DOI 10.1016/j.geosus.2020.11.001
   Kelly AE, 2008, P NATL ACAD SCI USA, V105, P11823, DOI 10.1073/pnas.0802891105
   Koch EW, 2009, FRONT ECOL ENVIRON, V7, P29, DOI 10.1890/080126
   Kuang XX, 2016, J GEOPHYS RES-ATMOS, V121, P3979, DOI 10.1002/2015JD024728
   Kubiszewski I, 2017, ECOSYST SERV, V26, P289, DOI 10.1016/j.ecoser.2017.05.004
   Langhans SD, 2019, SCI TOTAL ENVIRON, V672, P1017, DOI 10.1016/j.scitotenv.2019.04.025
   Lehnert LW, 2016, SCI REP-UK, V6, DOI 10.1038/srep24367
   Li CB, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/12/125003
   Li DL, 2018, GLOBAL CHANGE BIOL, V24, P4095, DOI 10.1111/gcb.14327
   Li J, 2016, ENVIRON SCI POLLUT R, V23, P6803, DOI 10.1007/s11356-015-5867-7
   Li LH, 2019, SCI TOTAL ENVIRON, V678, P21, DOI 10.1016/j.scitotenv.2019.04.399
   Li SC, 2020, ECOSYST SERV, V43, DOI 10.1016/j.ecoser.2020.101090
   Li W, 2018, ECOL ENG, V111, P134, DOI 10.1016/j.ecoleng.2017.10.013
   Liang LQ, 2013, INT J CLIMATOL, V33, P2900, DOI 10.1002/joc.3642
   Liu JY, 2010, J GEOGR SCI, V20, P483, DOI 10.1007/s11442-010-0483-4
   Liu YX, 2020, GEOGR SUSTAIN, V1, P141, DOI 10.1016/j.geosus.2020.06.001
   Loarie SR, 2009, NATURE, V462, P1052, DOI 10.1038/nature08649
   Maes J, 2012, BIOL CONSERV, V155, P1, DOI 10.1016/j.biocon.2012.06.016
   Mao DH, 2019, J CLEAN PROD, V240, DOI 10.1016/j.jclepro.2019.117961
   McElwee P, 2020, GLOBAL CHANGE BIOL, V26, P4691, DOI 10.1111/gcb.15219
   Meersmans J, 2016, SCI REP-UK, V6, DOI 10.1038/srep35798
   Miksa K, 2020, GEOGR SUSTAIN, V1, P173, DOI 10.1016/j.geosus.2020.08.003
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Mina M, 2017, J APPL ECOL, V54, P389, DOI 10.1111/1365-2664.12772
   Moreira M, 2018, LAND USE POLICY, V78, P637, DOI 10.1016/j.landusepol.2018.07.015
   Nelson EJ, 2013, FRONT ECOL ENVIRON, V11, P483, DOI 10.1890/120312
   Newbold T, 2015, NATURE, V520, P45, DOI 10.1038/nature14324
   Ouyang Z, 2016, SCIENCE, V352, P1455, DOI 10.1126/science.aaf2295
   Peng J, 2017, SCI TOTAL ENVIRON, V607, P706, DOI 10.1016/j.scitotenv.2017.06.218
   Pereira P, 2020, SCI TOTAL ENVIRON, V702, DOI 10.1016/j.scitotenv.2019.135008
   PETERSON TC, 1995, NATURE, V377, P687, DOI 10.1038/377687b0
   Piao SL, 2003, ACTA BOT SIN, V45, P269
   Pielke RA, 2011, WIRES CLIM CHANGE, V2, P828, DOI 10.1002/wcc.144
   Ploton P, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18321-y
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Qiu J, 2008, NATURE, V454, P393, DOI 10.1038/454393a
   Qiu JX, 2020, LANDSCAPE ECOL, V35, P2569, DOI 10.1007/s10980-020-01045-1
   Qiu JX, 2019, NAT SUSTAIN, V2, P475, DOI 10.1038/s41893-019-0278-2
   Qiu JX, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabb87
   Qu S, 2018, ECOL INDIC, V90, P438, DOI 10.1016/j.ecolind.2018.03.029
   Roderick ML, 2002, SCIENCE, V298, P1410
   Schlenker W, 2009, P NATL ACAD SCI USA, V106, P15594, DOI 10.1073/pnas.0906865106
   Schröter D, 2005, SCIENCE, V310, P1333, DOI 10.1126/science.1115233
   Seddon AWR, 2016, NATURE, V531, P229, DOI 10.1038/nature16986
   Seidl R, 2014, NAT CLIM CHANGE, V4, P806, DOI [10.1038/nclimate2318, 10.1038/NCLIMATE2318]
   Sharp R., 2015, InVEST 3.2.0 User's Guide
   Shen JS, 2021, J CLEAN PROD, V290, DOI 10.1016/j.jclepro.2020.125193
   Shi Z, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04526-9
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smith AMS, 2014, REMOTE SENS ENVIRON, V154, P322, DOI 10.1016/j.rse.2014.03.038
   Song C, 2014, INT J CLIMATOL, V34, P3683, DOI 10.1002/joc.3935
   Sullivan PF, 2008, ECOSYSTEMS, V11, P61, DOI 10.1007/s10021-007-9107-y
   [孙鸿烈 Sun Honglie], 2012, [地理学报, Acta Geographica Sinica], V67, P3
   Sutherland IJ, 2016, FOREST ECOL MANAG, V374, P61, DOI 10.1016/j.foreco.2016.04.037
   Tanner-McAllister SL, 2017, J ENVIRON MANAGE, V204, P510, DOI 10.1016/j.jenvman.2017.09.038
   Tao Yun-zhi, 2016, Journal of Ecology and Rural Environment, V32, P716, DOI 10.11934/j.issn.1673-4831.2016.05.005
   Tonne C, 2021, ENVIRON RES, V193, DOI 10.1016/j.envres.2020.110482
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   Wang YX, 2018, ECOSPHERE, V9, DOI 10.1002/ecs2.2515
   Weiskopf SR, 2020, SCI TOTAL ENVIRON, V733, DOI 10.1016/j.scitotenv.2020.137782
   Westerling AL, 2011, P NATL ACAD SCI USA, V108, P13165, DOI 10.1073/pnas.1110199108
   Wootten A, 2017, J APPL METEOROL CLIM, V56, P3245, DOI 10.1175/JAMC-D-17-0087.1
   Wu ZT, 2011, GLOBAL CHANGE BIOL, V17, P927, DOI 10.1111/j.1365-2486.2010.02302.x
   Xu JY, 2020, J CLEAN PROD, V275, DOI 10.1016/j.jclepro.2020.124153
   Xu WX, 2011, INT J APPL EARTH OBS, V13, P528, DOI 10.1016/j.jag.2011.02.001
   Yang SQ, 2020, GEOGR SUSTAIN, V1, P321, DOI 10.1016/j.geosus.2020.09.004
   Yin L, 2020, ECOL INDIC, V112, DOI 10.1016/j.ecolind.2019.106013
   Yu Y, 2020, SCI TOTAL ENVIRON, V738, DOI 10.1016/j.scitotenv.2020.140206
   Zhang ML, 2016, SCI TOTAL ENVIRON, V553, P184, DOI 10.1016/j.scitotenv.2016.02.106
   Zhao C., 2015, SOIL WATER CONSERV, V4, P11
   Zhao MS, 2010, SCIENCE, V329, P940, DOI [10.1126/science.1192666, 10.1126/science.1189590]
   Zheng H, 2019, P NATL ACAD SCI USA, V116, P8623, DOI 10.1073/pnas.1819501116
NR 109
TC 55
Z9 60
U1 36
U2 314
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0921-2973
EI 1572-9761
J9 LANDSCAPE ECOL
JI Landsc. Ecol.
PD DEC
PY 2021
VL 36
IS 12
BP 3451
EP 3471
DI 10.1007/s10980-021-01320-9
EA AUG 2021
PG 21
WC Ecology; Geography, Physical; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Physical Geography; Geology
GA WN0NW
UT WOS:000687919900001
PM 34456507
OA Bronze, Green Published
DA 2025-01-10
ER

PT J
AU Mengual, IL
   Sanchez-Jerez, P
   Ballester-Berman, J
AF Lopez Mengual, I
   Sanchez-Jerez, P.
   Ballester-Berman, Jd
TI Offshore aquaculture as climate change adaptation in coastal areas: sea
   surface temperature trends in the Western Mediterranean Sea
SO AQUACULTURE ENVIRONMENT INTERACTIONS
LA English
DT Article
DE Climate change; Marine aquaculture; Offshore aquaculture; Marine spatial
   planning
ID WATER TEMPERATURE; GROWTH; VARIABILITY; CIRCULATION; MANAGEMENT
AB The warming of the Mediterranean Sea surface is currently estimated to have been 0.4 degrees C per decade for the period 1985-2006, and the increase in water temperature may have negatively affected marine aquaculture, e.g. by decreasing productivity. Development of aquaculture without adequate planning can lead to unsustainable economic feasibility due to future climate stressors. In this sense, offshore mariculture could be an alternative for mitigating the effect of coastal warming. The purpose of this study was to evaluate the suitability of the coastline in terms of global warming and sea surface temperature trends in locations where fish aquaculture is currently being developed, as well as the spatial changes of thermal anomalies up to 30 km from the coast, during the last 31 yr in the western Mediterranean (Spanish coast). This study was conducted using EU Copernicus Marine Service Information, covering the period 1981-2018, with a spatial resolution of 4 x 4 km. The results show that, over the last decade, the Mediterranean coastal environment off the Iberian Peninsula has experienced an increase in temperature of around 1 degrees C due to global change, with a clear latitudinal pattern modified by mesoscale oceanographic processes. The development of offshore aquaculture at some latitudes mitigates the extreme aestival effects on surface water temperatures. Strategic plans for aquaculture development should be able to forecast and incorporate future climate projections and local oceanographic conditions, and offshore aquaculture may provide an alternative in some regions, depending on local oceanographic conditions.
C1 [Lopez Mengual, I; Sanchez-Jerez, P.] Univ Alicante, Dept Marine Sci & Appl Biol, Fase Ciencias 5, Ap C 99, Alicante 03080, Spain.
   [Ballester-Berman, Jd] Univ Alicante, Inst Comp Res IUII, Ap C 99, Alicante 03080, Spain.
C3 Universitat d'Alacant; Universitat d'Alacant
RP Sanchez-Jerez, P (corresponding author), Univ Alicante, Dept Marine Sci & Appl Biol, Fase Ciencias 5, Ap C 99, Alicante 03080, Spain.
EM psanchez@ua.es
RI ; Sanchez-Jerez, Pablo/L-4750-2014
OI Ballester-Berman, J. David/0009-0001-7268-1824; Sanchez-Jerez,
   Pablo/0000-0003-4047-238X
CR Barange M., 2018, FAO Fisheries and Aquaculture Technical Paper No. 627
   [Barange M. FAO FAO], 2018, Fisheries and, P654
   Besson M, 2016, AQUACULTURE, V462, P47, DOI 10.1016/j.aquaculture.2016.04.030
   Bevelhimer M., 2000, Environmental Science Policy, V3, pS211, DOI [DOI 10.1016/S1462-9011, 10.1016/s1462-9011]
   Beveridge Malcolm C. M., 2018, FAO Fisheries and Aquaculture Technical Paper, V627, P491
   Buongiorno Nardelli B, 2013, REMOTE SENS ENVIRON, V129, P1, DOI 10.1016/j.rse.2012.10.012
   Callaway R, 2012, AQUAT CONSERV, V22, P389, DOI 10.1002/aqc.2247
   Coma R, 2009, P NATL ACAD SCI USA, V106, P6176, DOI 10.1073/pnas.0805801106
   Craig RK, 2019, MAR POLICY, V110, DOI 10.1016/j.marpol.2019.103555
   Cramer W, 2019, Risks Associated to Climate and Environmental Changes in the Mediterranean Region - A Preliminary Assessment by the MedECC Network Science-Policy Interface
   Dempster Tim, 2008, P87, DOI 10.1007/978-1-4020-6810-2_3
   FAO, 2022, The state of World Fisheries and Aquaculture 2022. Towards Blue Transformation, DOI [10.4060/ca9229en, 10.4060/cc0461en, DOI 10.4060/CC0461EN, DOI 10.4060/CA9229EN]
   Ferreira JG, 2007, AQUACULTURE, V264, P160, DOI 10.1016/j.aquaculture.2006.12.017
   Froehlich HE, 2018, NAT ECOL EVOL, V2, P1745, DOI 10.1038/s41559-018-0669-1
   Froehlich HE, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00154
   Gentry RR, 2017, ECOL EVOL, V7, P733, DOI 10.1002/ece3.2637
   Gubbins M, 2006, MARINE CLIMATE CHANG
   Hernández JM, 2003, ECOL MODEL, V165, P265, DOI 10.1016/S0304-3800(03)00095-4
   Hernández JM, 2007, EUR J OPER RES, V181, P872, DOI 10.1016/j.ejor.2006.06.021
   Hu N, 2021, AQUACULT ENV INTERAC, V13, P177, DOI 10.3354/aei00398
   Joos F, 2001, GLOBAL BIOGEOCHEM CY, V15, P891, DOI 10.1029/2000GB001375
   Kir M, 2020, J THERM BIOL, V93, DOI 10.1016/j.jtherbio.2020.102739
   Kir M, 2018, J THERM BIOL, V78, P209, DOI 10.1016/j.jtherbio.2018.10.008
   Klinger DH, 2017, P ROY SOC B-BIOL SCI, V284, DOI 10.1098/rspb.2017.0834
   Lester SE, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03249-1
   Marra J, 2005, NATURE, V436, P175, DOI 10.1038/436175a
   Millot C, 1999, J MARINE SYST, V20, P423, DOI 10.1016/S0924-7963(98)00078-5
   Pastor F, 2019, Meteorology and Climatology of the Mediterranean and Black Seas p, P297, DOI DOI 10.1007/978-3-030-11958-4_18
   Pinardi N, 2000, PALAEOGEOGR PALAEOCL, V158, P153, DOI 10.1016/S0031-0182(00)00048-1
   Pisano A, 2016, REMOTE SENS ENVIRON, V176, P107, DOI 10.1016/j.rse.2016.01.019
   Reid GK, 2019, AQUACULT ENV INTERAC, V11, P569, DOI 10.3354/aei00332
   Renault L, 2012, J GEOPHYS RES-OCEANS, V117, DOI 10.1029/2011JC007659
   Rodriguez-Santalla I., 2019, The Spanish Coastal Systems, P467, DOI [10.1007/978-3-319-93169-220, DOI 10.1007/978-3-319-93169-220, DOI 10.1007/978-3-319-93169-2_20]
   Rosa R, 2012, REV AQUACULT, V4, P163, DOI 10.1111/j.1753-5131.2012.01071.x
   Sainz JF, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00253
   Sanchez-Jerez P, 2016, AQUACULT ENV INTERAC, V8, P41, DOI 10.3354/aei00161
   Sarà G, 2018, GLOBAL CHANGE BIOL, V24, P3654, DOI 10.1111/gcb.14296
   Sarà G, 2018, HYDROBIOLOGIA, V809, P5, DOI 10.1007/s10750-017-3469-8
   Seginer I, 2016, AQUACULT ENG, V70, P15, DOI 10.1016/j.aquaeng.2015.12.001
   Shettigar NA, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.592147
   Soto Doris, 2018, FAO Fisheries and Aquaculture Technical Paper, V627, P465
   Trujillo P, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0030546
   Vallis GK, 2017, ATMOSPHERIC AND OCEANIC FLUID DYNAMICS: FUNDAMENTALS AND LARGE-SCALE CIRCULATION, 2ND EDITION, P1, DOI 10.1017/9781107588417
   Vargas-Yáñez M, 2010, J MARINE SYST, V82, P171, DOI 10.1016/j.jmarsys.2010.04.013
   Vargas-Yáñez M, 2008, GLOBAL PLANET CHANGE, V63, P177, DOI 10.1016/j.gloplacha.2007.09.001
   von Schuckmann K, 2018, J OPER OCEANOGR, V11, pS1, DOI 10.1080/1755876X.2018.1489208
   Walker AE, 1998, J GEOPHYS RES-OCEANS, V103, P12869, DOI 10.1029/98JC00455
   Wickham H., 2016, J. Stat. Softw., V2nd, DOI [10.1007/978-3-319-24277-4, DOI 10.18637/JSS.V077.B02]
NR 48
TC 5
Z9 5
U1 1
U2 22
PU INTER-RESEARCH
PI OLDENDORF LUHE
PA NORDBUNTE 23, D-21385 OLDENDORF LUHE, GERMANY
SN 1869-215X
EI 1869-7534
J9 AQUACULT ENV INTERAC
JI Aquac. Environ. Interact.
PY 2021
VL 13
BP 515
EP 526
DI 10.3354/aei00420
PG 12
WC Fisheries; Marine & Freshwater Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Fisheries; Marine & Freshwater Biology
GA YU5IV
UT WOS:000752077500001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Charnley, S
   Gosnell, H
   Davee, R
   Abrams, J
AF Charnley, Susan
   Gosnell, Hannah
   Davee, Rachael
   Abrams, Jesse
TI Ranchers and Beavers: Understanding The Human Dimensions of
   Beaver-Related Stream Restoration on Western Rangelands
SO RANGELAND ECOLOGY & MANAGEMENT
LA English
DT Article
DE Artificial beaver dam; Beaver dam analogue; Castor canadensis;
   Ecological restoration; Grazing management
ID CLIMATE-CHANGE; CASTOR-CANADENSIS; MANAGEMENT; ECOLOGY; ADAPTATION;
   ATTITUDES; PRIVATE; TRENDS; DAMAGE
AB The past decade has seen a rapid rise in beaver-related stream restoration (BRR) using beavers and beaver dams (real or artificial) as a tool. Potential benefits of this low-cost, nature-based restoration approach include restoring aquatic and riparian habitat and recovering of threatened species dependent on it, improving water availability and stream flow regulation, reducing erosion and stream incision, and supporting climate change adaptation. Although the ecological restoration literature acknowledges the importance of addressing the human dimensions of restoration, there is a gap regarding the human dimensions of BRR. To help fill this gap we examined six projects involving riparian revegetation or artificial beaver dams to identify central elements of a supportive social environment for BRR on western rangelands. Our research questions examined how beavers, beaver dams, and BRR affect ranching operations and how ranchers view them; the policy context for BRR; and how BRR practitioners, regulatory agencies, ranchers, and partners work together for successful BRR. We synthesized our findings across cases and identified six social factors important for BRR: 1) ranchers who perceive the benefits of beavers, beaver dams, and BRR to outweigh the drawbacks; 2) education and assistance to help landowners adopt nonlethal mitigation techniques for nuisance beavers; 3) grazing practices compatible with BRR; 4) low harvest pressure on beavers; 5) a regulatory environment that enables experimentation, flexibility, and adaptive management; and 6) proponents, ranchers, and partners willing to take risks, innovate, be flexible, and stay committed. Published by Elsevier Inc. on behalf of The Society for Range Management.
C1 [Charnley, Susan] US Forest Serv, Pacific Northwest Res Stn, Portland, OR 97205 USA.
   [Gosnell, Hannah; Davee, Rachael] Oregon State Univ, Corvallis, OR 97331 USA.
   [Abrams, Jesse] Univ Georgia, Athens, GA 30602 USA.
C3 United States Department of Agriculture (USDA); United States Forest
   Service; Oregon State University; University System of Georgia;
   University of Georgia
RP Charnley, S (corresponding author), US Forest Serv, Pacific Northwest Res Stn, Portland, OR 97205 USA.
EM susan.charnley@usda.gov
RI Abrams, Jesse/AFK-6376-2022
OI Abrams, Jesse/0000-0002-1937-4606
FU US Dept of Agriculture, Northwest Climate Hub; US Dept of Interior,
   Northwest Climate Science Center
FX This research was funded by the US Dept of Agriculture, Northwest
   Climate Hub and was supported by the US Dept of Interior, Northwest
   Climate Science Center.
CR Abrams J., 2019, PNWRP611 US DEP AGR
   [Anonymous], 2011, HUMAN DIMENSIONS ECO
   Arkle RS, 2015, ECOL EVOL, V5, P3704, DOI 10.1002/ece3.1627
   Baker Bruce W., 2003, Lutra, V46, P173
   Baker BW., 2003, WILD MAMMALS N AM BI, P288
   Bernard Harvey R., 2011, Research methods in anthropology Qualitative and quantitative approaches
   Bliss J.C., 2011, Human dimensions of ecological restoration: Integrating science, nature, and culture, P135
   Bouwes N, 2016, SCI REP-UK, V6, DOI 10.1038/srep28581
   California Fish and Game Commission [CFGC], 2018, MAMM HUNT REG UL 201
   Charnley S., 2019, PNWRP614 US DEP AGR
   Charnley S., 2018, PNWRP613 US DEP AGR
   Clewell AF., 2013, Ecological Restoration, Second Edition: Principles, Values, and Structure of an Emerging Profession
   Collen P, 2001, REV FISH BIOL FISHER, V10, P439
   Conover MR, 1998, WILDLIFE SOC B, V26, P597
   Crea S., 2017, FY 2017 STATEWIDE RE
   Cushman K.A., 2007, ACONSERVATION ASSESS
   Davee R., 2017, PNWRN577 US DEP AGR
   Davee R., 2019, PNERP612 US DEP AGR
   Donnelly JP, 2016, ECOSPHERE, V7, DOI 10.1002/ecs2.1208
   Ecke F, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa8979
   Enck J.W., 1992, HDRU SERIES 92 7
   Faivre N, 2017, ENVIRON RES, V159, P509, DOI 10.1016/j.envres.2017.08.032
   Fesenmyer KA, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0208928
   Fountain SM, 2014, ENVIRON HIST-US, V19, P239, DOI 10.1093/envhis/emu003
   Fox CA, 2016, GEOFORUM, V70, P93, DOI 10.1016/j.geoforum.2016.02.013
   Gibson PP, 2014, AQUAT CONSERV, V24, P391, DOI 10.1002/aqc.2432
   Gobster P.H., 2000, Restoring Nature: Perspectives from The Social Sciences and Humanities, V2
   Goldfarb Ben., 2018, EAGER SURPRISING SEC
   Gowda PrasannaH., 2018, Impacts, Risks, and Adaptation in the United States: The Fourth National Climate Assessment, VII., DOI DOI 10.7930/NCA4.2018.CH10
   Grenfell W.E., 1992, LICENSED FURTRAPPERS
   Hobbs RJ, 2004, FRONT ECOL ENVIRON, V2, P43, DOI 10.2307/3868294
   Idaho Department of Fish and Game [IDFG], 2018, IDAHO UPL GAM TURK F
   Jonker SA, 2006, WILDLIFE SOC B, V34, P1009, DOI 10.2193/0091-7648(2006)34[1009:EWBDAA]2.0.CO;2
   Jonker SA, 2009, J WILDLIFE MANAGE, V73, P1158, DOI 10.2193/2004-160
   Joyce LA, 2013, RANGELAND ECOL MANAG, V66, P512, DOI 10.2111/REM-D-12-00142.1
   Kaphegyi TAM, 2015, LAND USE POLICY, V47, P468, DOI 10.1016/j.landusepol.2015.04.014
   Kimmerer R., 2011, HUMAN DIMENSIONS ECO
   Lautz L, 2018, HYDROL PROCESS, V33, P174
   Martin DM, 2017, RESTOR ECOL, V25, P668, DOI 10.1111/rec.12554
   McKinstry MC, 2002, CAN FIELD NAT, V116, P60
   McKinstry MC, 1999, ENVIRON MANAGE, V23, P95, DOI 10.1007/s002679900170
   Meshriy M., 2018, LICENSED TRAPPERS DE
   Miles M. B., 1994, QUALITATIVE DATA ANA
   Morzillo AT, 2015, HUM DIMENS WILDL, V20, P514, DOI 10.1080/10871209.2015.1083062
   Muller-Schwarze D., 2011, BEAVER ITS LIFE IMPA, P228
   NAIMAN RJ, 1988, BIOSCIENCE, V38, P753, DOI 10.2307/1310784
   Nash CS, 2018, ECOHYDROLOGY, V11, DOI 10.1002/eco.1953
   Nevada Department of Wildlife [ NDOW], 2018, SMALL GAM STAT HARV
   Nevada Department of Wildlife (NDOW), 2019, NEV SMALL GAM HUNT G
   Oregon Department of Fish and Wildlife [ODFW], 2018, OR FURB TRAPP HUNT R
   Oregon Department of Fish and Wildlife [ODFW], 2018, OR FURT LIC HARV DAT
   PAYNE NF, 1986, WILDLIFE SOC B, V14, P303
   Petro VM, 2015, GLOB ECOL CONSERV, V3, P477, DOI 10.1016/j.gecco.2015.01.001
   Pilliod DS, 2018, ENVIRON MANAGE, V61, P58, DOI 10.1007/s00267-017-0957-6
   Polley HW, 2013, RANGELAND ECOL MANAG, V66, P493, DOI 10.2111/REM-D-12-00068.1
   Pollock M.M., 2017, BEAVER RESTORATION G
   Pollock MM, 2014, BIOSCIENCE, V64, P279, DOI 10.1093/biosci/biu036
   Santo AR, 2017, HUM ECOL, V45, P449, DOI 10.1007/s10745-017-9920-7
   Santo AR, 2015, GLOBAL ENVIRON CHANG, V35, P289, DOI 10.1016/j.gloenvcha.2015.09.012
   Schüttler E, 2011, J NAT CONSERV, V19, P175, DOI 10.1016/j.jnc.2010.12.001
   Senos Rene., 2006, Encyclopedia for Restoration of Pacific Northwest Ecosystems, P393
   Siemer William F., 2013, Human-Wildlife Interactions, V7, P114
   Small BA, 2016, RESTOR ECOL, V24, P646, DOI [10.1111/rec.1236, 10.1111/rec.12364]
   Snyder KA, 2019, RANGELAND ECOL MANAG, V72, P1, DOI 10.1016/j.rama.2018.07.007
   Swanson S.R., 2015, Journal of Rangeland Applications, V2, P1
   Tappe D.T., 1942, STATUS BEAVER CALIFO, V3
   Taylor J.D., 2017, WILDLIFE SERVICES WI
   US Department of Commerce [USDC], 2013, REIN AQ REST ACT STA
   Weber N, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0176313
   Wigley T.B., 1987, P 3 E WILDL DAM CONT, P34
   Will G.C., 1994, FURBEARERS IDAHO DEP
   Williams JE, 2015, FISHERIES, V40, P304, DOI 10.1080/03632415.2015.1049692
   Yin R., 2014, Case Study Research Design and Methods, V5th, P282
NR 73
TC 13
Z9 18
U1 5
U2 71
PU SOC RANGE MANAGEMENT
PI LAKEWOOD
PA 445 UNION BLVD, STE 230, LAKEWOOD, CO 80228-1259 USA
SN 1550-7424
EI 1551-5028
J9 RANGELAND ECOL MANAG
JI Rangel. Ecol. Manag.
PD SEP
PY 2020
VL 73
IS 5
BP 712
EP 723
DI 10.1016/j.rama.2020.04.008
PG 12
WC Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA NO2DS
UT WOS:000569295900016
DA 2025-01-10
ER

PT J
AU Ratter, B
   Hennig, A
   Zahid
AF Ratter, Beate
   Hennig, Arne
   Zahid
TI Challenges for shared responsibility - Political and social framing of
   coastal protection transformation in the Maldives
SO ERDE
LA English
DT Article
DE coastal erosion; community engagement; transformative governance; Small
   Island Developing States (SIDS); the Maldives
ID CLIMATE-CHANGE ADAPTATION; SEA-LEVEL RISE; STAKEHOLDER ENGAGEMENT;
   PUBLIC-PARTICIPATION; FRAMEWORK; VULNERABILITY; PERCEPTIONS; GOVERNANCE;
   MANAGEMENT; BARRIERS
AB There is widespread understanding that climate change has dramatic impacts especially for small islands. In the Maldives, a key challenge is to confront erosion processes along its coasts - past approaches have shown to not always be sustainable. Alternative approaches to coastal protection are therefore urgently needed. In this paper we use the concept of transformative governance to identify factors in society and politics that act as barriers and enablers to the introduction of alternative approaches to coastal protection in the Maldives. We investigate how inhabitants perceive coastal erosion risks and analyse people's receptiveness to alternative coastal protection measures and their willingness to get involved in coastal protection. Governance structures are assessed against the context of conflicting central political, national and island peripherical interests. We identify hierarchical political structures in coastal protection governance as a dominant obstacle to alternative approaches. Based on empirical data collected in the research project DICES (Dealing with change in SIDS - societal action and political reaction in sea level change adaptation), we stress the importance of cultural aspects and sense of place when dealing with coastal protection. Further, we challenge the widespread assumption that people of the Maldives prefer hard coastal protection structures for their islands - a notion which is utilised by national politicians in their decision-making process to support the continuing application of hard protection measures. We discuss challenges to transformative governance related to shared responsibility, political power and openness to innovation.
C1 [Ratter, Beate; Hennig, Arne] Univ Hamburg, Inst Geog, Bundesstr 55, D-20146 Hamburg, Germany.
   [Zahid] Maldives Meteorol Serv, Hulhule 22000, Maldives.
C3 University of Hamburg
RP Ratter, B (corresponding author), Univ Hamburg, Inst Geog, Bundesstr 55, D-20146 Hamburg, Germany.
EM beate.ratter@uni-hamburg.de; arne.hennig@uni-hamburg.de;
   zahid@meteorology.gov.mv
RI Ratter, Beate/AAT-3840-2020
FU DICES (Dealing with change in SIDS - societal action and political
   reaction in sea level change adaptation on Small Island Developing
   States) of the Deutsche Forschungsgemeinschaft (DFG) [(SPP)-1889]
FX This work was supported by a grant from DICES (Dealing with change in
   SIDS - societal action and political reaction in sea level change
   adaptation on Small Island Developing States) of the Deutsche
   Forschungsgemeinschaft (DFG) as part of the Special Priority Program
   (SPP)-1889 'Regional Sea Level Change and Society' (SeaLevel).
CR [Anonymous], 2018, AUTHORITIES URGED PR
   [Anonymous], 2012, PITFALLS SHORELINE S
   [Anonymous], GLOBAL ENV ISSUES
   [Anonymous], 2016, FIN MAN FLOOD RISK
   Barnett J, 2014, NAT CLIM CHANGE, V4, P1103, DOI 10.1038/NCLIMATE2383
   Barnett J, 2003, CLIMATIC CHANGE, V61, P321, DOI 10.1023/B:CLIM.0000004559.08755.88
   Barnett J, 2001, WORLD DEV, V29, P977, DOI 10.1016/S0305-750X(01)00022-5
   Berkes F, 2009, J ENVIRON MANAGE, V90, P1692, DOI 10.1016/j.jenvman.2008.12.001
   Berkhout F, 2006, CLIMATIC CHANGE, V78, P135, DOI 10.1007/s10584-006-9089-3
   Bluepeace, CONS MANGR DEV INF W
   Bosomworth K, 2018, ENVIRON POLICY GOV, V28, P415, DOI 10.1002/eet.1806
   Bremner L, 2017, SHIMA, V11, P18, DOI 10.21463/shima.11.1.05
   Brown K., 2015, Resilience, development and global change, DOI [10.4324/9780203498095, DOI 10.4324/9780203498095]
   Burton P, 2013, URBAN POLICY RES, V31, P399, DOI 10.1080/08111146.2013.778196
   Chaffin BC, 2016, ANNU REV ENV RESOUR, V41, P399, DOI 10.1146/annurev-environ-110615-085817
   Clark D., 2009, MALDIVES 1 GO CARBON
   Connell J, 2010, SINGAPORE J TROP GEO, V31, P115, DOI 10.1111/j.1467-9493.2010.00387.x
   David CG, 2016, ADV NAT TECH HAZ RES, V42, P457, DOI 10.1007/978-3-319-43633-3_20
   de Vriend HJ, 2015, J HYDRO-ENVIRON RES, V9, P159, DOI 10.1016/j.jher.2014.06.004
   Denton F, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1101
   Donner SD, 2014, SUSTAIN SCI, V9, P331, DOI 10.1007/s11625-014-0242-z
   Duvat V, 2013, SUSTAIN SCI, V8, P363, DOI 10.1007/s11625-013-0205-9
   Edmondson B, 2019, PALG S ENVIRON TRANS, P1, DOI 10.1007/978-3-319-97400-2
   Farrelly M, 2011, GLOBAL ENVIRON CHANG, V21, P721, DOI 10.1016/j.gloenvcha.2011.01.007
   Gerkensmeiera B, 2018, ENVIRON SCI POLICY, V80, P144, DOI 10.1016/j.envsci.2017.11.011
   Hafezi M, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10114100
   Hulme M, 2015, DIALOGUES HUM GEOGR, V5, P322, DOI 10.1177/2043820615613227
   IMF (International Monetary Fund), 2018, GDP PER CAP CURR PRI
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Kearney J, 2007, COAST MANAGE, V35, P79, DOI 10.1080/08920750600970511
   Khan T.M. A., 2002, MAR GEOD, V25, P133
   Klein RJT, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P899
   Kopp R.E., 2017, CLIMATE SCI SPECIAL, VI, P411, DOI [10.7930/J0GB227J, DOI 10.7930/J0GB227J]
   Lawrence J, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11020406
   Malatesta S, 2017, ISL STUD J, V12, P53, DOI 10.24043/isj.5
   Marshall NA, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/3/034022
   McMillen HL, 2014, ECOL SOC, V19, DOI 10.5751/ES-06937-190444
   MEE, 2015, GUID MAN CLIM RISK R
   MEE (Ministry of Environment and Energy), 2015, MALD CLIM CHANG KAL
   Mercer J, 2008, AREA, V40, P172, DOI 10.1111/j.1475-4762.2008.00797.x
   MHE, 2011, SURV CLIM CHANG AD M
   MHE (Ministry of Housing and Environment), 2012, REG PREP ENV IMP ASS
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   MoT (Ministry of Tourism), 2015, EC COSTS BEN CLIM CH
   Naish A., 2016, FEYDHOO FINOLHU LEAS
   Narayan S, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0154735
   NBS, 2014, MALD POP HOUS CENS 2
   Nicholls RJ, 2010, SCIENCE, V328, P1517, DOI 10.1126/science.1185782
   Niyaz Aishath., 2011, Impact Assessment and Project Appraisal, V29, P69, DOI DOI 10.3152/146155111X12913679730313
   Nunn PD, 2014, REG ENVIRON CHANGE, V14, P221, DOI 10.1007/s10113-013-0486-7
   Nunn PD, 2009, CLIM RES, V40, P211, DOI 10.3354/cr00806
   O'Brien K, 2012, PROG HUM GEOG, V36, P667, DOI 10.1177/0309132511425767
   Patt AG, 2009, NEW HORIZ ENVIRON EC, P82
   Petzold J, 2015, OCEAN COAST MANAGE, V112, P36, DOI 10.1016/j.ocecoaman.2015.05.003
   Ratter B.M.W., 2008, INT J ISLAND AFFAIRS, V17, P36
   Ratter BMW, 2016, NAT RESOUR FORUM, V40, P112, DOI 10.1111/1477-8947.12102
   Robinson J. J., 2015, The Maldives: Islamic republic, tropical autocracy
   Schoonees T, 2019, ESTUAR COAST, V42, P1709, DOI 10.1007/s12237-019-00551-z
   Schwarz AM, 2011, GLOBAL ENVIRON CHANG, V21, P1128, DOI 10.1016/j.gloenvcha.2011.04.011
   Shaahunaz F., 2017, CEMENTED GRAFT BREAK
   Shaahunaz F., 2017, CAMPAIGN COASTAL PRO
   Shaig A., 2011, SURVEY CLIMATE CHANG
   Shakeela A, 2015, J SUSTAIN TOUR, V23, P65, DOI 10.1080/09669582.2014.918135
   Sherman MH, 2014, CLIM POLICY, V14, P417, DOI 10.1080/14693062.2014.859501
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Sovacool BK, 2012, MITIG ADAPT STRAT GL, V17, P731, DOI 10.1007/s11027-011-9341-7
   Stive MJF, 2013, J COASTAL RES, V29, P1001, DOI 10.2112/JCOASTRES-D-13-00070.1
   Temmerman S, 2013, NATURE, V504, P79, DOI 10.1038/nature12859
   Terry G., 2009, Gender and Development, V17, P5, DOI 10.1080/13552070802696839
   Tessler ZD, 2015, SCIENCE, V349, P638, DOI 10.1126/science.aab3574
   Tompkins EL, 2008, J ENVIRON MANAGE, V88, P1580, DOI 10.1016/j.jenvman.2007.07.025
   Transparency Maldives, 2013, ASS CLIM FIN GOV MAL
   Wadey M, 2017, NAT HAZARDS, V89, P131, DOI 10.1007/s11069-017-2957-5
   Zuhair MH, 2016, IMPACT ASSESS PROJ A, V34, P129, DOI 10.1080/14615517.2016.1176404
NR 74
TC 15
Z9 15
U1 2
U2 23
PU GESELLSCHAFT ERDKUNDE BERLIN
PI BERLIN
PA ARNO-HOLZ-STR 14, BERLIN, 12165, GERMANY
SN 0013-9998
J9 ERDE
JI ERDE
PY 2019
VL 150
IS 3
SI SI
BP 169
EP 183
DI 10.12854/erde-2019-426
PG 15
WC Geography; Geography, Physical; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Geography; Physical Geography; Geology
GA JL6RF
UT WOS:000495656700006
DA 2025-01-10
ER

PT J
AU Douglas, I
AF Douglas, Ian
TI The challenge of urban poverty for the use of green infrastructure on
   floodplains and wetlands to reduce flood impacts in intertropical Africa
SO LANDSCAPE AND URBAN PLANNING
LA English
DT Article
DE Flooding; Green infrastructure; Poverty; Africa; Political influence;
   Informal settlements
ID CLIMATE-CHANGE ADAPTATION; PERIURBAN AGRICULTURE; INFORMAL SETTLEMENTS;
   ENVIRONMENTAL-CHANGE; WASTE-WATER; LAND-USE; MANAGEMENT; CITIES;
   PARTICIPATION; SANITATION
AB The rapidly expanding urban population in intertropical African cities that lives in poverty in informal settlements poses major problems for urban health, safety and risk reduction. Such settlements often encroach on floodplains and wetlands, restricting the space available to convey and store flood waters Climate change and the expansion impermeable urban surfaces are contributing to increased magnitude and frequency of flooding. The use of green infrastructure in Africa to alleviate climate change impacts, including for sustainable urban drainage, is widely advocated. Many consider that urban agriculture can be part of such green infrastructure. However, although municipal plans often envisage removal of settlements from floodplains and do not encourage urban agriculture, efforts to bulldoze dwellings and move people from the settlements close to city centres are strongly resisted and can become politically contested. Improvements in urban drainage require participatory, multi-sectoral planning and implementation. In many African cities three different levels of action occur, frequently without considering interests at any other level: municipal drainage and floodplain clearance plans; international NGO and consultant led schemes; and community-based small scale actions for immediate relief and protection. Political allegiances cut across the three levels, showing that without holistic views across all scales of the political, social, economic and environmental aspects of these intertropical African cities, widespread use of floodplain and wetland green infrastructure for flood hazard reduction will be difficult to achieve. (C) 2016 Elsevier B.V. All rights reserved
C1 [Douglas, Ian] Univ Manchester, Sch Environm Educ & Dev, Manchester M13 9PL, Lancs, England.
C3 University of Manchester
RP Douglas, I (corresponding author), Univ Manchester, Sch Environm Educ & Dev, Manchester M13 9PL, Lancs, England.
EM ian.douglas@manchester.ac.uk
RI Douglas, Ian/AAP-4465-2020
CR ActionAid, 2006, UNJ WAT CLIM CHANG F
   Afenah A., 2012, Urban Forum, V23, P527, DOI [DOI 10.1007/s12132-012-9155-z, 10.1007/s12132-012-9155-z, DOI 10.1007/S12132-012-9155-Z]
   African Development Bank Group, 2010, NAIR RIV REH REST PR
   Ahern J., 2007, CITIES FUTURE INTEGR, P267
   Ajambo S., 2013, THESIS
   Alderlieste MC, 2005, WATER SCI TECHNOL, V51, P57, DOI 10.2166/wst.2005.0032
   Amnesty International, 2009, KEN UNS MAJ NAIR 2 M
   Amusat A. S., 2013, J ENV EXTENSION, V11
   [Anonymous], 2000, 73 CSIRO STAND COMM
   [Anonymous], 2007, ADV URBAN FLOOD MANA
   [Anonymous], CLIMATE CHANGE VULNE, DOI DOI 10.1007/978-3-31900672-7
   [Anonymous], 2007, ADAPTING CITIES CLIM
   [Anonymous], THESIS
   [Anonymous], 2015, SWEEPING AWAY AGBOGB
   Armah FA., 2009, Law, Environment, Development Journal, P73
   Asare A. A., 2013, GHANA WEB       0323
   Aubry C, 2012, LAND USE POLICY, V29, P429, DOI 10.1016/j.landusepol.2011.08.009
   Awal M., 2016, Who really governs urban Ghana?
   Baguian H., 2013, GREEN MOSAIC PLANNIN
   Benedict M. A., 2002, Renewable Resources Journal, V20, P12
   Buyana Kareem., 2014, Journal of Geography and Regional Planning, V7, P1, DOI [DOI 10.5897/JGRP2013.0424, 10.5897/JGRP2013.0424]
   Chitekwe-Biti B, 2012, ENVIRON URBAN, V24, P131, DOI 10.1177/0956247812437138
   Cimini S., 2016, DYNAMICS RESILIENCE, P131
   Cissé G, 2011, LOCAL SUSTAIN, V1, P55, DOI 10.1007/978-94-007-0785-6_6
   Cissé O, 2016, ENVIRON URBAN, V28, P183, DOI 10.1177/0956247815613693
   Connors JP, 2016, ROUT INT HANDB, P421
   Dawson HJ, 2014, AFR AFFAIRS, V113, P518, DOI 10.1093/afraf/adu056
   Defra Making space for water, 2005, TAK FORW NEW GOV STR
   Di Leo N, 2016, ENVIRON DEV SUSTAIN, V18, P373, DOI 10.1007/s10668-015-9653-y
   Diagne K, 2007, ENVIRON URBAN, V19, P552, DOI 10.1177/0956247807082836
   Dixon AB, 2003, NAT RESOUR FORUM, V27, P117, DOI 10.1111/1477-8947.00047
   Dobson S, 2015, ENVIRON URBAN, V27, P605, DOI 10.1177/0956247815598520
   Douglas I, 2008, ENVIRON URBAN, V20, P187, DOI 10.1177/0956247808089156
   Douglas I, 2014, LANDSCAPE URBAN PLAN, V125, P312, DOI 10.1016/j.landurbplan.2014.02.008
   Dubbeling M, 2011, LOCAL SUSTAIN, V1, P441, DOI 10.1007/978-94-007-0785-6_44
   Durand-Lasserve A., 2006, Global Urban Development, V2, P1
   Farouk BR, 2012, ENVIRON URBAN, V24, P47, DOI 10.1177/0956247811434478
   Finlani P., 2015, KENYAS KIBERA SLUM G
   Foeken D., 2000, Growing cities, growing food: urban agriculture on the policy agenda. A reader on urban agriculture, P303
   Foeken D., 1998, 30 ASC
   Gallaher CM, 2013, AGR HUM VALUES, V30, P389, DOI 10.1007/s10460-013-9425-y
   Gallaher CM, 2013, ECOHEALTH, V10, P9, DOI 10.1007/s10393-013-0827-5
   Gaye M, 1997, ENVIRON URBAN, V9, P9, DOI 10.1177/095624789700900110
   Gichere SK, 2011, CLIMATE CHANGE AND SUSTAINABLE URBAN DEVELOPMENT IN AFRICA AND ASIA, P211, DOI 10.1007/978-90-481-9867-2_12
   Gillespie T, 2017, URBAN GEOGR, V38, P974, DOI 10.1080/02723638.2016.1191792
   Gillespie T, 2016, T I BRIT GEOGR, V41, P66, DOI 10.1111/tran.12105
   Grant R., 2006, Urban Forum, V17, P1, DOI DOI 10.1007/BF02681256
   Hannam I. D., 1979, Journal of the Soil Conservation Service of New South Wales, V35, P19
   Hannam I. D., 1980, J SOIL CONSERVATION, V36, P135
   Hansen R, 2014, AMBIO, V43, P516, DOI 10.1007/s13280-014-0510-2
   Heath TT, 2012, ENVIRON URBAN, V24, P619, DOI 10.1177/0956247812453540
   Holder C., 2014, GREENING RED ZONE DI, P417, DOI [10.1007/978-90-481-9947-1_32, DOI 10.1007/978-90-481-9947-1_32]
   Hooper M, 2012, ENVIRON URBAN, V24, P99, DOI 10.1177/0956247811435889
   Huang JY, 2014, REV ENVIRON CONTAM T, V229, P19, DOI 10.1007/978-3-319-03777-6_2
   IMDC, 2011, REH KORL LAG ITS RIV
   Iwugo KO, 2002, J CHART INST WATER E, V16, P53
   Jaffar A., 2014, FAILED DONOR AID
   Jean -Baptiste N., 2013, URBAN ENV, P205
   Jones P, 2007, GEOFORUM, V38, P534, DOI 10.1016/j.geoforum.2006.10.005
   Klopp JM, 2008, AFR STUD-UK, V67, P295, DOI 10.1080/00020180802504866
   Lee-Smith D, 2010, ENVIRON URBAN, V22, P483, DOI 10.1177/0956247810377383
   Lindley S.J., 2015, Urban Vulnerability and Climate Change in Africa, P107, DOI DOI 10.1007/978-3-319-03982-4_4
   Lwasa S, 2014, URBAN CLIM, V7, P92, DOI 10.1016/j.uclim.2013.10.007
   Majani B B, 1996, Urban Health Newsl, P26
   Mance G., 2002, AQUAT CONSERV, V12, P425
   Mbiba B., 2000, Growing cities, growing food: urban agriculture on the policy agenda. A reader on urban agriculture, P285
   Mguni P, 2015, WATER POLICY, V17, P126, DOI 10.2166/wp.2014.047
   Mitchell VG, 2006, ENVIRON MANAGE, V37, P589, DOI 10.1007/s00267-004-0252-1
   Mo Ibrahim Foundation, 2016, FACTS FIGS 2015 AFR
   Monney I., 2013, ACCRA INT J DEV SUST, V2, P711
   Mupedziswa R, 2011, CLIMATE CHANGE AND SUSTAINABLE URBAN DEVELOPMENT IN AFRICA AND ASIA, P243, DOI 10.1007/978-90-481-9867-2_14
   Mutisya E, 2011, INT TRANS J ENG MANA, V2, P197
   NEMA, 2009, UG ATL OUR CHANG ENV
   Ngugi EN, 2012, HUM ECOL, V40, P397, DOI 10.1007/s10745-012-9478-3
   Odbert C, 2015, NOW URBANISM: THE FUTURE CITY IS HERE, P177
   Olorunfemi FB., 2013, J ED SOC RES, V3, P135, DOI DOI 10.5901/JESR.2013.V3N4P135
   Onifade O. A, 2014, ARABIAN J BUSINESS M, V4, P139
   Otiso KM, 2002, SINGAPORE J TROP GEO, V23, P252, DOI 10.1111/1467-9493.00130
   Owusu-Ansah JK, 2016, GEOJOURNAL, V81, P555, DOI 10.1007/s10708-015-9636-4
   Penning-Rowsell E. C., 1996, FLOODPLAIN PROCESSES, P492
   Prain G, 2010, AFRICAN URBAN HARVEST: AGRICULTURE IN THE CITIES OF CAMEROON, KENYA AND UGANDA, P13, DOI 10.1007/978-1-4419-6250-8_2
   Rams D., 2015, RAMBO STYLE URBAN MA
   Rauch W, 2005, ENVIRON MANAGE, V35, P396, DOI 10.1007/s00267-003-0114-2
   Ricci L, 2016, SPRINGER BRIEFS ENV, V26, DOI [10.1007/978-3-319-27126-23, DOI 10.1007/978-3-319-27126-23]
   Ricci L, 2015, CURR OPIN ENV SUST, V13, P42, DOI 10.1016/j.cosust.2015.01.004
   Robinson G. D., 1978, 950 US GEOL SURV PRO
   Satterthwaite D., 2009, ADAPTING CITIES CLIM, P2
   Satterthwaite D, 2010, PHILOS T R SOC B, V365, P2809, DOI 10.1098/rstb.2010.0136
   Sawio CJ., 1994, CITIES FEEDING PEOPL, P23
   Simon D, 2013, LOCAL ECON, V28, P203, DOI 10.1177/0269094212463674
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smit J., 1996, Urban Agriculture: Food, Jobs and Sustainable Cities
   Sy M., 2014, URBAN AGR MAG, V27, P27
   Taiwo OJ, 2014, LAND USE POLICY, V39, P320, DOI 10.1016/j.landusepol.2014.02.003
   Thorn J, 2015, GLOBAL ENVIRON CHANG, V31, P121, DOI 10.1016/j.gloenvcha.2014.12.009
   Tukahirwa JT, 2010, LOCAL ENVIRON, V15, P1, DOI 10.1080/13549830903406032
   UNEP (United Nations Environment Programme), 2009, Kenya: Atlas of Our Changing Environment
   UNHabitat, 2014, STAT AFR CIT REP 201
   Vedeld T, 2016, NAT HAZARDS, V82, pS173, DOI 10.1007/s11069-015-1875-7
   Vermeiren K, 2013, LAND USE POLICY, V35, P40, DOI 10.1016/j.landusepol.2013.04.012
   Vermeiren K, 2012, LANDSCAPE URBAN PLAN, V106, P199, DOI 10.1016/j.landurbplan.2012.03.006
   Wakhungu J., 2010, Approaches to Informal Urban Settlements in Africa: Experiences from Kigali and Nairobi
   Weru J, 2004, ENVIRON URBAN, V16, P47, DOI 10.1177/095624780401600105
   Yeebo Y., 2014, BRIDGE SODOM GOMORRA
   Zvigadza S., 2008, CIT CLIM CHANG WORKS
NR 105
TC 76
Z9 80
U1 6
U2 86
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0169-2046
EI 1872-6062
J9 LANDSCAPE URBAN PLAN
JI Landsc. Urban Plan.
PD DEC
PY 2018
VL 180
BP 262
EP 272
DI 10.1016/j.landurbplan.2016.09.025
PG 11
WC Ecology; Environmental Studies; Geography; Geography, Physical; Regional
   & Urban Planning; Urban Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography; Physical Geography; Public
   Administration; Urban Studies
GA HA0KG
UT WOS:000449896300028
DA 2025-01-10
ER

PT J
AU Frame, B
   Lawrence, J
   Ausseil, AG
   Reisinger, A
   Daigneault, A
AF Frame, Bob
   Lawrence, Judy
   Ausseil, Anne-Gaelle
   Reisinger, Andy
   Daigneault, Adam
TI Adapting global shared socio-economic pathways for national and local
   scenarios
SO CLIMATE RISK MANAGEMENT
LA English
DT Article
DE Scenarios; Socio-economic; Adaptation; Mitigation; Global; National
ID CLIMATE-CHANGE RESEARCH; FRAMEWORK; IMPACTS
AB Socio-economic scenarios enable us to understand the extent to which global-, national-and local-scale societal developments can influence the nature and severity of climate change risks and response options. Shared socio-economic pathways (SSPs) enable a systematic exploration of the challenges to adaptation and mitigation that alternative futures entail. However, SSPs are primarily defined for the global scale. If countries are to test their adaptation and mitigation options for robustness across plausible future socio-economic conditions, then SSPs require country-relevant detail to understand climate change risks at the national and local scales. New Zealand is used to illustrate how nationally relevant socio-economic scenarios, nested within SSPs can be developed to inform national-and local-scale studies of climate change impacts and their implications. Shared policy assumptions were developed, involving a mix of climate-specific and non-climate-specific policies, to demonstrate how international links and global-scale developments are critical locally-local choices may accelerate, reduce or even negate the impact of global trends for extended periods. The typology was then 'tested' by applying it in a local context. The research challenges observed in developing credible, salient and legitimate nationalscale socio-economic scenarios include issues in developing scenarios across a multidisciplinary team. Finally, recommendations for adapting shared climate policy assumptions to produce national and local scenarios, and for assessing the feasibility and effectiveness of climate change adaptation options are presented. These include the need for: guidelines to embed national scenarios in global frameworks; a limit the number of plausible futures; inter-operability of models; an ability to work towards effective multi-disciplinary teams and integrative research; and the opportunity to involve participatory processes where feasible.
C1 [Frame, Bob] Manaaki Whenua Landcare Res New Zealand, POB 69040, Lincoln 7640, New Zealand.
   [Lawrence, Judy] Victoria Univ Wellington, Climate Change Res Inst, Wellington, New Zealand.
   [Ausseil, Anne-Gaelle] Manaaki Whenua Landcare Res New Zealand, 86-90 Lambton Quay, Wellington, New Zealand.
   [Reisinger, Andy] New Zealand Agr Greenhouse Gas Res Ctr, Private Bag 11008, Palmerston North, New Zealand.
   [Daigneault, Adam] Univ Maine, Sch Forest Resources, Orono, ME 04469 USA.
C3 Victoria University Wellington; University of Maine System; University
   of Maine Orono
RP Frame, B (corresponding author), Manaaki Whenua Landcare Res New Zealand, POB 69040, Lincoln 7640, New Zealand.
EM research@frameworks.nz
RI Frame, Bob/A-2876-2008; Lawrence, Judy/W-9823-2019; Daigneault,
   Adam/GYU-9342-2022; Reisinger, Andy/E-1201-2016; Ausseil,
   Anne-Gaelle/C-2195-2011
OI Reisinger, Andy/0000-0002-6631-7188; Daigneault,
   Adam/0000-0002-8287-8727; Frame, Bob/0000-0003-2447-4174; Ausseil,
   Anne-Gaelle/0000-0001-8923-0774
FU New Zealand Ministry of Business, Innovation and Employment (MBIE)
   [C01X1225]; Manaaki Whenua - Landcare Research Strategic Science
   Investment Funds; MBIE [CO1X1412]
FX All authors were funded by New Zealand Ministry of Business, Innovation
   and Employment (MBIE) Contract C01X1225 Climatic conditions to 2100 and
   assessed impacts and implications for New Zealand's environment, economy
   and society. Bob Frame, Anne-Gaelle Ausseil and Adam Daigneault were
   funded to write this paper through Manaaki Whenua - Landcare Research
   Strategic Science Investment Funds. JL was also funded through MBIE
   Contract CO1X1412 Deep South National Science Challenge Decision-making
   Tools and Measures. The input of a range of advisors at national and
   local levels while 'testing' the scenario typology is acknowledged as
   are the two anonymous reviewers.
CR Absar SM, 2015, GLOBAL ENVIRON CHANG, V33, P83, DOI 10.1016/j.gloenvcha.2015.04.004
   Alfieri L, 2015, GLOBAL ENVIRON CHANG, V35, P199, DOI 10.1016/j.gloenvcha.2015.09.004
   [Anonymous], 1001 NZ TREAS
   [Anonymous], GLOBAL ENVIRON CHANG
   [Anonymous], 2002, FACULTY RES WORKING
   [Anonymous], 2014, PROSIDING SEMINAR NA
   Arnell NW, 2014, CLIMATIC CHANGE, V122, P127, DOI 10.1007/s10584-013-0948-4
   Ausseil A. G, 2016, CLIMATE CHANGE IMPAC
   Ausseil A. G, 2016, INT ENV MODELLING SO
   BEC, 2015, NZ EN SCEN, P108
   Birkmann J, 2015, CLIMATIC CHANGE, V133, P53, DOI 10.1007/s10584-013-0913-2
   Brown RR, 2015, NATURE, V525, P315, DOI 10.1038/525315a
   Carey C., 2014, CCAFS REGIONAL SCENA
   Cuaresma JC, 2017, GLOBAL ENVIRON CHANG, V42, P226, DOI 10.1016/j.gloenvcha.2015.02.012
   Daigneault A, 2017, 1710 MOT EC PUBL POL
   Dellink R, 2017, GLOBAL ENVIRON CHANG, V42, P200, DOI 10.1016/j.gloenvcha.2015.06.004
   Ebi KL, 2014, CLIMATIC CHANGE, V122, P363, DOI 10.1007/s10584-013-0912-3
   Fernandez MA, 2016, NEW ZEAL J AGR RES, V59, P436, DOI 10.1080/00288233.2016.1215335
   Frame B, 2016, CLIMATE CHANGE IMPAC
   Frame B, 2018, FUTURES, V100, P45, DOI 10.1016/j.futures.2018.04.005
   Hasegawa T, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/1/014010
   Kelly RA, 2013, ENVIRON MODELL SOFTW, V47, P159, DOI 10.1016/j.envsoft.2013.05.005
   König M, 2015, SPRINGER CLIMATE, P75, DOI 10.1007/978-3-319-12457-5_6
   Kriegler E, 2014, CLIMATIC CHANGE, V122, P401, DOI 10.1007/s10584-013-0971-5
   Leimbach M, 2017, GLOBAL ENVIRON CHANG, V42, P215, DOI 10.1016/j.gloenvcha.2015.02.005
   MOT (Ministry of Transport), 2014, FUT DEM
   Nilsson AE, 2017, GLOBAL ENVIRON CHANG, V45, P124, DOI 10.1016/j.gloenvcha.2017.06.001
   O'Neill BC, 2014, CLIMATIC CHANGE, V122, P387, DOI 10.1007/s10584-013-0905-2
   Palazzo A, 2017, GLOBAL ENVIRON CHANG, V45, P227, DOI 10.1016/j.gloenvcha.2016.12.002
   Reisinger A, 2014, CLIMATE CHANGE 201 A
   Rounsevell MDA, 2010, WIRES CLIM CHANGE, V1, P606, DOI 10.1002/wcc.63
   Rutledge D, 2017, CLIMATE CHANGE IMPAC
   Statistics New Zealand, 2016, NAT POP PROJ 2016 BA
   Steininger Karl W., 2016, Climate Services, V1, P39, DOI 10.1016/j.cliser.2016.02.003
   Tait A, 2016, UPDATED CLIMATE CHAN
   Tait A., 2016, CLIMATE CHANGES IMPA
   Tschakert P, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.476
   van Vuuren DP, 2017, GLOBAL ENVIRON CHANG, V42, P148, DOI [10.1016/j.gloenvcha.2016.10.009, 10.1016/j.gloenvcha.2016.05.009]
   van Vuuren DP, 2014, CLIMATIC CHANGE, V122, P373, DOI 10.1007/s10584-013-0906-1
   van Vuuren DP, 2010, WIRES CLIM CHANGE, V1, P393, DOI 10.1002/wcc.50
NR 40
TC 86
Z9 90
U1 1
U2 18
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0963
J9 CLIM RISK MANAG
JI CLIM. RISK MANAG.
PY 2018
VL 21
BP 39
EP 51
DI 10.1016/j.crm.2018.05.001
PG 13
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA GS0RV
UT WOS:000443214100005
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Joffre, OM
   Bosma, RH
   Ligtenberg, A
   Tri, VPD
   Ha, TTP
   Bregt, AK
AF Joffre, Olivier M.
   Bosma, Roe H.
   Ligtenberg, Arend
   Van Pham Dang Tri
   Tran Thi Phung Ha
   Bregt, Arnold K.
TI Combining participatory approaches and an agent-based model for better
   planning shrimp aquaculture
SO AGRICULTURAL SYSTEMS
LA English
DT Article
DE Agent-based model; Participatory modeling; Farmer decision-making; Role
   playing game; Vietnam; Shrimp farming
ID RENEWABLE RESOURCE-MANAGEMENT; LAND-USE DYNAMICS; MEKONG DELTA;
   SIMULATION; LESSONS; STAKEHOLDERS; BIODIVERSITY; ADAPTATION; TYPOLOGY;
   PROVINCE
AB In the Mekong Delta coastal zone, decision makers must weigh trade-offs between sustaining the shrimp sector and thus ensuring economic development, while also promoting sustainable, environmentally friendly practices and planning for climate change adaptation. This study investigates future scenarios for development of shrimp aquaculture using a spatially explicit, agent-based model (ABM) simulating farmers' production system choices. A role playing game (RPG) with farmers was used to calibrate and validate the model. Four scenarios, representing different visions of aquaculture in the next 15 years, were elaborated with decision makers before discussing the different outputs of the model. Iterative consultation with farmers helped to fine-tune the model and identify key parameters and drivers in farmers' decision-making. The recursive process allowed us to construct a model that validly represents reality. Participants stated that use of the RPG improved their insight for planning. Results of the scenarios indicate that (i) intensification of production is unsustainable, (ii) market-based incentives are too limited to stimulate development of an integrated mangrove-shrimp production system and (iii) climate change will cause rapid decline of production in the absence of adaptation measures. RPG appeared to be a valuable method for formalizing local farmers' knowledge and integrating it into the planning approaches used by decision makers. The ABM, thus, can also be considered a medium or communication tool facilitating knowledge-sharing between farmers and decision makers. (C) 2015 Elsevier Ltd. All rights reserved.
C1 [Joffre, Olivier M.; Bosma, Roe H.] Wageningen Univ, Aquaculture & Fisheries Grp, NL-6700 AH Wageningen, Netherlands.
   [Ligtenberg, Arend; Bregt, Arnold K.] Wageningen Univ, Lab Geoinformat Sci & Remote Sensing, NL-6700 AA Wageningen, Netherlands.
   [Van Pham Dang Tri] Can Tho Univ, Coll Environm & Nat Resources, Can Tho City, Vietnam.
   [Tran Thi Phung Ha] Can Tho Univ, Dept Sociol, Sch Social Sci & Humanities, Can Tho City, Vietnam.
C3 Wageningen University & Research; Wageningen University & Research; Can
   Tho University; Can Tho University
RP Joffre, OM (corresponding author), Wageningen Univ, Aquaculture & Fisheries Grp, POB 338, NL-6709 PG Wageningen, Netherlands.
EM olivier.joffre@wur.nl; roel.bosma@wur.nl; arend.ligtenberg@wur.nl;
   vpdtri@ctu.edu.vn; ttpha@ctu.edu.vn; arnold.bregt@wur.nl
RI ligtenberg, arend/L-4267-2019; Pham Dang Tri, VAN/M-5680-2016
OI Joffre, Olivier M./0000-0002-7857-5766; Ligtenberg,
   Arend/0000-0002-2093-7947; Pham Dang Tri, VAN/0000-0002-2989-2001
FU Wageningen University [14/WI0005]
FX The authors would like to thank the Interdisciplinary Research and
   Education Fund (INREF) (14/WI0005) of Wageningen University for the
   financial support to the study presented in this paper. The contribution
   of Can Tho University's staff and students, and the receptiveness of the
   provincial authorities in Ca Mau province, Dam Doi districts and visited
   communes are also appreciated. Farmers and decision makers are
   acknowledged for their time and information provided during
   consultations, role playing games and workshops. The authors wish to
   thank Mirzah Torres and Michelle Luijben for editing the manuscript
CR Acosta-Michlik L, 2008, GLOBAL ENVIRON CHANG, V18, P554, DOI 10.1016/j.gloenvcha.2008.08.006
   [Anonymous], 2011, ENV LITERACY SCI SOC
   Barnaud C, 2013, ENVIRON MODELL SOFTW, V45, P150, DOI 10.1016/j.envsoft.2011.11.016
   Barreteau O, 2001, JASSS-J ARTIF SOC S, V4
   Bousquet F., 1999, Advances in Environmental and Ecological Modelling, P113
   Bush SR, 2014, ECOL SOC, V19, DOI 10.5751/ES-06677-190350
   Castella JC, 2005, ECOL SOC, V10
   Dat T.Q., 2011, ENV SUPPORT FOOD ENG, V35, P685
   Etienne M., 2003, J ARTIF SOC SOC SIMU, V6
   Ferber J., 1999, Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence, V1
   Filatova T, 2013, ENVIRON MODELL SOFTW, V45, P1, DOI 10.1016/j.envsoft.2013.03.017
   Geertman S, 2009, GEOJOURNAL LIB, V95, P1, DOI 10.1007/978-1-4020-8952-7_1
   Greiner R, 2014, ENVIRON MODELL SOFTW, V55, P120, DOI 10.1016/j.envsoft.2014.01.011
   GRIGNARD A., 2013, 16 INT C PRINC PRACT, V8291, P242
   Gurung TR, 2006, ECOL SOC, V11
   Ha T.T.T., 2012, THESIS
   Nguyen HH, 2013, OCEAN COAST MANAGE, V76, P12, DOI 10.1016/j.ocecoaman.2013.01.003
   Hoanh C. T., 2003, Water Policy, V5, P475
   Hong PhanNguyen., 1993, Mangroves of Vietnam
   Jakeman T.S., 2009, ADAPTIVE ENV MANAGEM, P185
   Joffre OM, 2009, AGR ECOSYST ENVIRON, V132, P153, DOI 10.1016/j.agee.2009.03.010
   Kam S.P., 2010, EC ADAPTATION CLIMAT
   Korfmacher KS, 2001, ENVIRON MANAGE, V27, P161, DOI 10.1007/s002670010141
   Krueger T, 2012, ENVIRON MODELL SOFTW, V36, P4, DOI 10.1016/j.envsoft.2012.01.011
   Lagabrielle E, 2010, ENVIRON MODELL SOFTW, V25, P1413, DOI 10.1016/j.envsoft.2010.01.011
   Le Page C, 2012, JASSS-J ARTIF SOC S, V15, DOI 10.18564/jasss.1928
   Le QB, 2012, ENVIRON MODELL SOFTW, V27-28, P83, DOI 10.1016/j.envsoft.2011.09.002
   Lebel L, 2002, AMBIO, V31, P311, DOI 10.1639/0044-7447(2002)031[0311:ITASAI]2.0.CO;2
   Ligtenberg A, 2010, COMPUT ENVIRON URBAN, V34, P424, DOI 10.1016/j.compenvurbsys.2010.04.005
   Liu JG, 2007, SCIENCE, V317, P1513, DOI 10.1126/science.1144004
   Luttrell C., 2002, 9 C INT ASS STUD COM
   Matthews RB, 2007, LANDSCAPE ECOL, V22, P1447, DOI 10.1007/s10980-007-9135-1
   Mialhe F, 2012, AGR ECOSYST ENVIRON, V161, P55, DOI 10.1016/j.agee.2012.07.016
   Moss S, 2008, JASSS-J ARTIF SOC S, V11
   Naivinit W, 2010, ENVIRON MODELL SOFTW, V25, P1345, DOI 10.1016/j.envsoft.2010.01.012
   Nguyen Thuy T. H., 2010, Sustainability, V2, P2144, DOI 10.3390/su2072144
   O'Sullivan D, 2008, PROG HUM GEOG, V32, P541, DOI 10.1177/0309132507086879
   Phuong N.T., 1998, TCE PROJ WORKSH 2 CO, P120
   Pooyandeh M, 2013, J ENVIRON MANAGE, V129, P309, DOI 10.1016/j.jenvman.2013.07.028
   Puig C.J., 2009, Pastoral Properties Futures Simulator. NTCA Future Project: Scoping Future Scenarios and Building Innovative Partnerships for Northern Territory Pastoral Lands. Report to the
   Ruankaew N, 2010, INT J SUST DEV WORLD, V17, P15, DOI 10.1080/13504500903481474
   Schmitt LHM, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0075956
   Ha TTP, 2013, AQUACULT ECON MANAG, V17, P1, DOI 10.1080/13657305.2013.747224
   Ha TTP, 2014, LAND USE POLICY, V36, P89, DOI 10.1016/j.landusepol.2013.07.002
   Tran TTH, 2012, J RURAL STUD, V28, P631, DOI 10.1016/j.jrurstud.2012.07.001
   Tuong TP, 2003, PADDY WATER ENVIRON, V1, P65, DOI 10.1007/s10333-003-0015-2
   Valbuena D, 2008, AGR ECOSYST ENVIRON, V128, P27, DOI 10.1016/j.agee.2008.04.015
   Van Berkel DB, 2012, LANDSCAPE ECOL, V27, P641, DOI 10.1007/s10980-012-9730-7
   Verburg PH, 2006, LANDSCAPE ECOL, V21, P1171, DOI 10.1007/s10980-006-0029-4
   Villamor GB, 2014, ENVIRON MODELL SOFTW, V61, P151, DOI 10.1016/j.envsoft.2014.07.013
   Voinov A, 2010, ENVIRON MODELL SOFTW, V25, P1268, DOI 10.1016/j.envsoft.2010.03.007
NR 51
TC 27
Z9 32
U1 0
U2 67
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0308-521X
EI 1873-2267
J9 AGR SYST
JI Agric. Syst.
PD DEC
PY 2015
VL 141
BP 149
EP 159
DI 10.1016/j.agsy.2015.10.006
PG 11
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture
GA CX0EW
UT WOS:000365370700015
DA 2025-01-10
ER

PT J
AU Below, TB
   Schmid, JC
   Sieber, S
AF Below, Till B.
   Schmid, Julia C.
   Sieber, Stefan
TI Farmers' knowledge and perception of climatic risks and options for
   climate change adaptation: a case study from two Tanzanian villages
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Adaptation; Climate change; Perception; Sub-Saharan Africa; Tanzania;
   Vulnerability
ID CHANGE VULNERABILITY; FOOD INSECURITY; AGRICULTURE; VARIABILITY;
   SYSTEMS; AFRICA; AVAILABILITY; STRESSORS; MOROGORO; PEOPLE
AB An in-depth understanding of the multiple layers of factors that shape farmers' knowledge and perception of climatic risks and their adaptive responses is a prerequisite for well-targeted agricultural adaptation planning. However, while farmers' perception is increasingly understood as being a key determinant, a conceptual framework that includes this focus of analyses is currently not available. Against this background, this study analyzes the agricultural adaptation context in two Tanzanian villages building on a newly developed agricultural adaptation and perception model (AAP). The AAP contains five dimensions as a frame of reference for empirical adaptation models: non-climatic determinants of vulnerability (1), general trends in livelihood strategies (2), perception of climatic trends (3), climate impacts in agriculture (4) and potentials and obstacles for adaptation (5). Empirical data were collected by applying various tools of rapid rural appraisal, a stakeholder workshop and supplementary interviews. The qualitative data were coded along the dimensions of the AAP and analyzed by means of qualitative content analysis. The results show that adaptation levels, sensitivities of the farming systems as well as perception and narratives about climatic and yield dynamics differ considerably among the two farming communities. Furthermore, farmers' adaptation responses are influenced by both their framing of climatic trends as well as the multiple benefits that the local agricultural systems provide. Thus, for improving food security in the face of climate change, farmers' perceptions and the multi-functionality of agricultural systems need to be explicitly recognized by agronomic adaptation research, and adaptation policy making should involve detailed vulnerability assessments.
C1 [Below, Till B.] Deutsch Gesell Int Zusammenarbeit GIZ GmbH, Competence Ctr Climate Change, Dag Hammarskjold Weg 1-5, D-65760 Eschborn, Germany.
   [Schmid, Julia C.; Sieber, Stefan] Leibniz Ctr Agr Landscape Res ZALF eV, Inst Socioecon, D-15374 Muncheberg, Germany.
C3 Leibniz Association; Leibniz Zentrum fur Agrarlandschaftsforschung
   (ZALF)
RP Below, TB (corresponding author), Deutsch Gesell Int Zusammenarbeit GIZ GmbH, Competence Ctr Climate Change, Dag Hammarskjold Weg 1-5, D-65760 Eschborn, Germany.
EM Till.Below@notmail.org; julia.schmid@zalf.de; stefan.sieber@zalf.de
OI Schmid, Julia Christiane/0000-0003-4990-8717; Sieber,
   Stefan/0000-0002-4849-7277
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Anik SI, 2012, MITIG ADAPT STRAT GL, V17, P879, DOI 10.1007/s11027-011-9350-6
   [Anonymous], 2006, FORSCHUNGSMETHODEN E, DOI DOI 10.1007/978-3-540-33306-7
   [Anonymous], 2006, CHALLENGING NATURE L
   Bagshawe FJ, 1930, 3 LAND DEV SURV
   Battisti DS, 2009, SCIENCE, V323, P240, DOI 10.1126/science.1164363
   Baudoin MA, 2014, MITIG ADAPT STRAT GL, V19, P1195, DOI 10.1007/s11027-013-9468-9
   Beck C, 1997, INTRO PARTICIPATORY, VI
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   Bhatia Z, 1996, SOCIOECONOMIC UNPUB
   Brooks S, 2011, NAT RESOUR FORUM, V35, P185, DOI 10.1111/j.1477-8947.2011.01396.x
   Bryant CR, 2000, CLIMATIC CHANGE, V45, P181, DOI 10.1023/A:1005653320241
   Bryceson DF, 2002, WORLD DEV, V30, P725, DOI 10.1016/S0305-750X(02)00006-2
   Chamshama S, 2006, P 2 NAT AGR ENV WORK, P65
   Comoé H, 2015, MITIG ADAPT STRAT GL, V20, pCP4, DOI 10.1007/s11027-013-9486-7
   Comoé H, 2014, MITIG ADAPT STRAT GL, V19, P123, DOI 10.1007/s11027-012-9436-9
   Dang HL, 2013, MITIG ADAPT STRAT GL, DOI [10.1007/s11027-013-9486-7, DOI 10.1007/S11027-013-9486-7]
   de Bruijn ME, 1999, DEV CHANGE, V30, P115, DOI 10.1111/1467-7660.00109
   Dercon S, 1996, J DEV STUD, V32, P850, DOI 10.1080/00220389608422443
   Dietz K, 2011, KLIMAWANDEL ALS DEMO
   Dorlochter-Sulser S., 2012, GOOD PRACTICES SOIL
   Eriksen S, 2011, CLIM DEV, V3, P7, DOI 10.3763/cdev.2010.0060
   Esham M, 2013, MITIG ADAPT STRAT GL, V18, P535, DOI 10.1007/s11027-012-9374-6
   FAO (Food and Agriculture Organization of the United Nations), 2006, CLIMWAT2 0
   Fischer G, 2005, PHILOS T R SOC B, V360, P2067, DOI 10.1098/rstb.2005.1744
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   Gervin MD, 2003, TENURE REGULATED ACC
   Grothmann T, 2006, NAT HAZARDS, V38, P101, DOI 10.1007/s11069-005-8604-6
   Halder P, 2012, REG ENVIRON CHANGE, V12, P665, DOI 10.1007/s10113-012-0281-x
   Ikerra ST, 2006, NUTR CYCL AGROECOSYS, V76, P249, DOI 10.1007/s10705-006-9007-0
   Kalungu J. W., 2013, Journal of Environment and Earth Science, V3, P129
   Koerth J, 2013, REG ENVIRON CHANGE, V13, P897, DOI 10.1007/s10113-012-0399-x
   Mayring P., 2019, Forum: Qualitative Social Research, V20, P16, DOI DOI 10.17169/FQS-1.2.1089
   Mbilinyi BP, 2005, PHYS CHEM EARTH, V30, P792, DOI 10.1016/j.pce.2005.08.022
   Meertens HCC, 1996, AGR ECOSYST ENVIRON, V56, P203, DOI 10.1016/0167-8809(95)00639-7
   Mitchell T., 2012, Resilience: A risk management approach
   Mitchell TD, 2005, INT J CLIMATOL, V25, P693, DOI 10.1002/joc.1181
   Morton JF, 2007, P NATL ACAD SCI USA, V104, P19680, DOI 10.1073/pnas.0701855104
   Müller C, 2011, P NATL ACAD SCI USA, V108, P4313, DOI 10.1073/pnas.1015078108
   Ngegba M, 2006, P 2 NAT AGR ENV WORK, P37
   Nyanga P. H., 2011, Journal of Sustainable Development, V4, P73
   Paavola J, 2008, ENVIRON SCI POLICY, V11, P642, DOI 10.1016/j.envsci.2008.06.002
   Patt AG, 2008, GLOBAL ENVIRON CHANG, V18, P458, DOI 10.1016/j.gloenvcha.2008.04.002
   Quinn CH, 2003, J ENVIRON MANAGE, V68, P111, DOI 10.1016/S0301-4797(03)00013-6
   Reid P, 2006, GLOBAL ENVIRON CHANG, V16, P195, DOI 10.1016/j.gloenvcha.2006.01.003
   Safi AS, 2012, RISK ANAL, V32, P1041, DOI 10.1111/j.1539-6924.2012.01836.x
   Scoones I., 1998, Working Paper - Institute of Development Studies, University of Sussex
   Siedenburg JR, 2008, QEH WORKING PAPER SE, V166, DOI DOI 10.48550/ARXIV.2204.04396
   Siedenburg JR, 2005, GEOGR TIDSSKRIFT DAN, V105, P57
   Silvestri S, 2012, REG ENVIRON CHANGE, V12, P791, DOI 10.1007/s10113-012-0293-6
   Skinner M.W., 2004, MITIG ADAPT STRAT GL, V7, P85
   Slovic P, 2004, RISK ANAL, V24, P311, DOI 10.1111/j.0272-4332.2004.00433.x
   Tambo JA, 2013, REG ENVIRON CHANGE, V13, P375, DOI 10.1007/s10113-012-0351-0
   Tanner T, 2008, IDS BULL-I DEV STUD, V39, P6
   Temple PH., 1972, Geographiska Annaler, V54a, P110, DOI [10.1080/04353676.1972.11879862, DOI 10.1080/04353676.1972.11879862]
   Tengo M., 2004, ECOL SOC, V9, P4
   Thomas DSG, 2007, CLIMATIC CHANGE, V83, P301, DOI 10.1007/s10584-006-9205-4
   Thornton PK, 2011, PHILOS T R SOC A, V369, P117, DOI 10.1098/rsta.2010.0246
   Tschakert P, 2007, GLOBAL ENVIRON CHANG, V17, P381, DOI 10.1016/j.gloenvcha.2006.11.008
   URT (United Republic of Tanzania), 1997, MOR REG SOC PROF
   Waha K, 2013, GLOBAL ENVIRON CHANG, V23, P130, DOI 10.1016/j.gloenvcha.2012.11.001
   Wheeler S, 2013, GLOBAL ENVIRON CHANG, V23, P537, DOI 10.1016/j.gloenvcha.2012.11.008
   Wynne B., 1992, PUBLIC UNDERST SCI, V1, P281, DOI [DOI 10.1088/0963-6625/1/3/004, 10.1088/0963-6625/1/3/004, 10.1088/0963-6625/1/3/00, DOI 10.1088/0963-6625/1/3/00]
   Ziervogel G, 2006, NAT RESOUR FORUM, V30, P294, DOI 10.1111/j.1477-8947.2006.00121.x
NR 64
TC 78
Z9 87
U1 3
U2 85
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD OCT
PY 2015
VL 15
IS 7
SI SI
BP 1169
EP 1180
DI 10.1007/s10113-014-0620-1
PG 12
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA CS1MR
UT WOS:000361830600002
DA 2025-01-10
ER

PT J
AU Wang, F
   Zhao, GJ
   Mu, XM
   Gao, P
   Sun, WY
AF Wang, Fei
   Zhao, Guangju
   Mu, Xingmin
   Gao, Peng
   Sun, Wenyi
TI Regime Shift Identification of Runoff and Sediment Loads in the Yellow
   River Basin, China
SO WATER
LA English
DT Article
DE Yellow River; runoff; sediment load; trends; regime shift; human
   activities
ID STREAM-FLOW REGIME; CLIMATE-CHANGE; WATER-RESOURCES; LOESS-PLATEAU;
   CONSERVATION MEASURES; MISSISSIPPI RIVER; VARIABILITY; IMPACTS; TRENDS;
   PRECIPITATION
AB Runoff and sediment loads have exhibited significant changes over the past six decades in the Yellow River Basin, China. The current study evaluates the changing trends and regime shifts in runoff and sediment loads at both the annual and monthly time scales. The associated spatial and temporal variations are analyzed by a sequential t-test analysis of the regime shifts (STARS) approach and the "breaks for additive seasonal and trend" (BFAST) model using hydrological data at eight stations from the 1950s to 2011. Both runoff and sediment loads exhibit significant declines (p < 0.05), except in the upper reaches of the river near the Tangnaihai station. The regime shifts detected by the STARS approach are not completely consistent with the results from the BFAST method. In most cases, the regime shifts occurred in 1969 and 1986, due to the construction of large reservoirs. Climate change and other human activities, such as large-scale soil and water conservation measures, can result in abrupt changes in hydrological series at some stations. The trapping effects of reservoirs not only cause regime shifts of runoff and sediment loads, but also adjust their inter-annual and seasonal distributions. Various soil and water conservation measures are responsible for the significant reduction in runoff and sediment loads in the mid-lower reaches of the Yellow River Basin. In addition, water withdrawals from both river runoff and ground water play a critical role in the changing trends in runoff and indirectly alter the sediment loads. The findings provide a good reference for the effective promotion of climate change adaptation, water resources planning and river basin management.
C1 [Wang, Fei; Zhao, Guangju; Mu, Xingmin; Gao, Peng; Sun, Wenyi] Northwest A&F Univ, Inst Soil & Water Conservat, Yangling 712100, Shaanxi Provinc, Peoples R China.
   [Wang, Fei; Zhao, Guangju; Mu, Xingmin; Gao, Peng; Sun, Wenyi] Chinese Acad Sci, Inst Soil & Water Conservat, Yangling 712100, Shaanxi Provinc, Peoples R China.
   [Wang, Fei; Zhao, Guangju; Mu, Xingmin; Gao, Peng; Sun, Wenyi] Minist Water Resources, Yangling 712100, Shaanxi Provinc, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Soil & Water Conservation
   (ISWC), CAS; Northwest A&F University - China; Chinese Academy of
   Sciences; Institute of Soil & Water Conservation (ISWC), CAS; Ministry
   of Water Resources
RP Wang, F (corresponding author), Northwest A&F Univ, Inst Soil & Water Conservat, 26 Xinong Rd, Yangling 712100, Shaanxi Provinc, Peoples R China.
EM wafe@ms.iswc.ac.cn; gjzhao@ms.iswc.ac.cn; xmmu@ms.iswc.ac.cn;
   gaopeng@ms.iswc.ac.cn; sunwy@lreis.ac.cn
RI ; Gao, Peng/K-7487-2014; /J-8497-2013
OI Zhao, Guangju/0000-0002-4233-9403; Gao, Peng/0000-0002-4723-4256;
   /0000-0002-5213-4399; Zhao, Guangju/0000-0001-7756-4494
FU National Natural Sciences Foundation of China [41201266, 41271295,
   41171420]; Chinese Academy of Sciences [KZZD-EW-04]; Fundamental
   Research Funds for the Central Universities [QN2013071, QN2011150]
FX This work was supported by the National Natural Sciences Foundation of
   China (Nos. 41201266, 41271295 and 41171420), the Key Research Program
   of the Chinese Academy of Sciences (No. KZZD-EW-04) and the Fundamental
   Research Funds for the Central Universities (QN2013071 and QN2011150).
   Moreover, the authors express their thanks to the Yellow River
   Conservancy Committee for providing data.
CR Acosta M.M., 2011, ASSESSMENT CHANGING
   Andersen T, 2009, TRENDS ECOL EVOL, V24, P49, DOI 10.1016/j.tree.2008.07.014
   Bai JS, 1998, ECONOMETRICA, V66, P47, DOI 10.2307/2998540
   Barnett TP, 2008, SCIENCE, V319, P1080, DOI 10.1126/science.1152538
   Birsan MV, 2005, J HYDROL, V314, P312, DOI 10.1016/j.jhydrol.2005.06.008
   CMWR, 2003, PROGR CHECK DAMS LOE, P47
   Fu GB, 2007, WATER RESOUR RES, V43, DOI 10.1029/2007WR005890
   Giordano M., 2004, 3 IWMI, P48
   He B, 2013, ENVIRON MONIT ASSESS, V185, P6187, DOI 10.1007/s10661-012-3016-z
   Horowitz AJ, 2010, HYDROL PROCESS, V24, P13, DOI 10.1002/hyp.7425
   Jiang T, 2007, GEOMORPHOLOGY, V85, P143, DOI 10.1016/j.geomorph.2006.03.015
   [刘昌明 Liu Changming], 2004, [地理学报, Acta Geographica Sinica], V59, P323
   Liu C, 2008, INT J SEDIMENT RES, V23, P44, DOI 10.1016/S1001-6279(08)60004-9
   Liu Q, 2008, J HYDROL, V361, P330, DOI 10.1016/j.jhydrol.2008.08.002
   Liu QA, 2010, J HYDROL, V395, P226, DOI 10.1016/j.jhydrol.2010.10.031
   Liu YB, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/014010
   McVicar TR, 2007, FOREST ECOL MANAG, V251, P65, DOI 10.1016/j.foreco.2007.06.025
   Meade RH, 2010, HYDROL PROCESS, V24, P35, DOI 10.1002/hyp.7477
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Mu XM, 2007, HYDROL PROCESS, V21, P2124, DOI 10.1002/hyp.6391
   Mu XM, 2012, CLEAN-SOIL AIR WATER, V40, P303, DOI 10.1002/clen.201000319
   Nijssen B, 2001, CLIMATIC CHANGE, V50, P143, DOI 10.1023/A:1010616428763
   Nilsson C, 2005, SCIENCE, V308, P405, DOI 10.1126/science.1107887
   Oki T, 2006, SCIENCE, V313, P1068, DOI 10.1126/science.1128845
   Rodionov SN, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2006GL025904
   Sato Y, 2008, HYDROL PROCESS, V22, P1618, DOI 10.1002/hyp.6730
   Syvitski JPM, 2005, SCIENCE, V308, P376, DOI 10.1126/science.1109454
   Verbesselt J, 2010, REMOTE SENS ENVIRON, V114, P2970, DOI 10.1016/j.rse.2010.08.003
   Verbesselt J, 2010, REMOTE SENS ENVIRON, V114, P106, DOI 10.1016/j.rse.2009.08.014
   Wang HJ, 2007, GLOBAL PLANET CHANGE, V57, P331, DOI 10.1016/j.gloplacha.2007.01.003
   Wang HJ, 2011, EARTH-SCI REV, V108, P80, DOI 10.1016/j.earscirev.2011.06.003
   Wang Y, 2013, SCI CHINA EARTH SCI, V56, P1398, DOI 10.1007/s11430-012-4505-1
   Xia C, 2012, WATER RESOUR MANAG, V26, P3395, DOI 10.1007/s11269-012-0078-1
   Xu JX, 2009, HYDROLOG SCI J, V54, P90, DOI 10.1623/hysj.54.1.90
   Xu JX, 2005, ENVIRON MANAGE, V35, P620, DOI 10.1007/s00267-004-3094-y
   Xu ZX, 2002, WATER RESOUR MANAG, V16, P239, DOI 10.1023/A:1020206826669
   Yang DW, 2004, WATER RESOUR RES, V40, DOI 10.1029/2003WR002763
   Yang ZF, 2011, J HYDROMETEOROL, V12, P1113, DOI 10.1175/JHM-D-10-05004.1
   Ye BS, 2003, WATER RESOUR RES, V39, DOI 10.1029/2003WR001991
   Yellow River Conservancy Commission (YRCC), YRCC YELL RIV WAT RE
   YRCC (Yellow River Conservancy Committee), 1997, HYDR YB YELL RIV
   Zeileis A, 2005, ECONOMET REV, V24, P445, DOI 10.1080/07474930500406053
   ZHANG JJ, 2002, STUDY CHANGES RUNOFF, V2, P393
   Zhang L, 2001, WATER RESOUR RES, V37, P701, DOI 10.1029/2000WR900325
   [张森琦 Zhang Senqi], 2004, [冰川冻土, Journal of Glaciology and Geocryology], V26, P1
   Zhang XP, 2008, WATER RESOUR RES, V44, DOI 10.1029/2007WR006711
   Zhao FF, 2009, SCI CHINA SER E, V52, P3249, DOI 10.1007/s11431-009-0354-3
   Zhao GJ, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0091048
   Zhao GJ, 2013, J SOIL WATER CONSERV, V68, p159A, DOI 10.2489/jswc.68.6.159A
   Zhao GJ, 2013, LAND DEGRAD DEV, V24, P499, DOI 10.1002/ldr.2246
   Zheng HX, 2007, HYDROL PROCESS, V21, P886, DOI 10.1002/hyp.6280
NR 51
TC 26
Z9 29
U1 2
U2 95
PU MDPI AG
PI BASEL
PA POSTFACH, CH-4005 BASEL, SWITZERLAND
SN 2073-4441
J9 WATER-SUI
JI Water
PD OCT
PY 2014
VL 6
IS 10
BP 3012
EP 3032
DI 10.3390/w6103012
PG 21
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA AS6EU
UT WOS:000344358200009
OA gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Insaf, TZ
   Lin, S
   Sheridan, SC
AF Insaf, T. Z.
   Lin, S.
   Sheridan, S. C.
TI Climate trends in indices for temperature and precipitation across New
   York State, 1948-2008
SO AIR QUALITY ATMOSPHERE AND HEALTH
LA English
DT Article
DE Climate change; Extremes; Temperature; Precipitation; Trend indicators
ID UNITED-STATES; 20TH-CENTURY TEMPERATURE; LYME-DISEASE; EXTREME;
   ASSOCIATION; WATERBORNE
AB New York State (NYS) is a geographically diverse area susceptible to climate change, but trends in climate extreme indicators have not been extensively studied. Our objectives are to describe temporal and spatial trends in various extreme indicators and their sensitivity to climate change and to demonstrate geographic differences in indicator trends in NYS. We analyzed data from the US Historical Climatology Network for NYS from 1948 to 2008. We assessed trends in 15 temperature and 11 precipitation indicators using linear regression with bootstrapping in SAS and RClimDex software. The indicators showing the most substantial change per decade were frost days (-0.97 days per decade) and diurnal temperature (-0.11A degrees C). For precipitation indicators, the number of heavy precipitation days (+0.99 days), consecutive wet days (+ 0.42 days), the total wet day precipitation (+30.19 mm), and the simple daily intensity index (+0.18 mm/day) showed the most change per decade. The most representative indicators that showed significant trends for more than half of the stations were number of cool nights, diurnal temperature, and number of frost days and increase in total wet day precipitation and simple daily intensity index for precipitation. The most sensitive regions for changes in extreme indicators were the eastern and Great Lakes regions of NYS. In light of these consistent temporal trends of warming and increasing precipitation in NYS with large geographic variation, the indicators that have been identified should be further evaluated and assessed for their health impact. Geographical differences in climate trends may be of use in informing policy and resource allocation for climate change adaptation.
C1 [Insaf, T. Z.; Lin, S.] New York State Dept Hlth, Bur Environm & Occupat Epidemiol, Ctr Environm Hlth, Troy, NY 12180 USA.
   [Insaf, T. Z.; Lin, S.] SUNY Albany, Sch Publ Hlth, Dept Epidemiol & Biostat, Rensselaer, NY 12144 USA.
   [Sheridan, S. C.] Kent State Univ, Dept Geog, Kent, OH 44242 USA.
C3 State University of New York (SUNY) System; University at Albany, SUNY;
   University System of Ohio; Kent State University; Kent State University
   Salem; Kent State University Kent
RP Insaf, TZ (corresponding author), New York State Dept Hlth, Bur Environm & Occupat Epidemiol, Ctr Environm Hlth, Flanigan Sq,Room 200 547 River St, Troy, NY 12180 USA.
EM txi03@health.state.ny.us
RI Insaf, Tabassum/U-6584-2019; Insaf, Tabassum/B-1270-2010
OI Insaf, Tabassum/0000-0003-4725-2515; Sheridan,
   Scott/0000-0002-6928-6524; Lin, Shao/0000-0002-5535-7504
FU National Center for Environmental Health, Center for Disease Control
   [5U01EH000396-01 (NY)]; National Environmental Public Health Tracking
   Program, Centers for Disease Control and Prevention [5U38EH000184-05]
FX We thank Barbara Fletcher for her help in drafting of the manuscript.
   This research study was supported in part by grant #5U01EH000396-01 (NY)
   National Center for Environmental Health, Center for Disease Control and
   grant # 5U38EH000184-05 National Environmental Public Health Tracking
   Program, Centers for Disease Control and Prevention. The meteorological
   data were provided by the National Center for Atmospheric Research which
   is supported by grants from the National Science Foundation.
CR Alexander LV, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006290
   [Anonymous], 2004, RCLIMDEX 1 0 USER MA
   Bacon Rendi Murphree, 2008, Morbidity and Mortality Weekly Report, V57, P1
   Beggs PJ, 2005, ENVIRON HEALTH PERSP, V113, P915, DOI 10.1289/ehp.7724
   Brown PJ, 2010, J CLIMATE, V23, P6555, DOI 10.1175/2010JCLI3363.1
   Brownstein JS, 2003, ENVIRON HEALTH PERSP, V111, P1152, DOI 10.1289/ehp.6052
   Curriero FC, 2001, AM J PUBLIC HEALTH, V91, P1194, DOI 10.2105/AJPH.91.8.1194
   DeGaetano AT, 2002, J CLIMATE, V15, P3188, DOI 10.1175/1520-0442(2002)015<3188:TITCTE>2.0.CO;2
   dos Santos CAC, 2011, INT J CLIMATOL, V31, P1813, DOI 10.1002/joc.2205
   Drayna P, 2010, ENVIRON HEALTH PERSP, V118, P1439, DOI 10.1289/ehp.0901671
   Frich P, 2002, CLIMATE RES, V19, P193, DOI 10.3354/cr019193
   Frumhoff PC, 2008, MITIG ADAPT STRAT GL, V13, P419, DOI 10.1007/s11027-007-9138-x
   Griffiths ML, 2007, J CLIMATE, V20, P5401, DOI 10.1175/2007JCLI1594.1
   Hunter PR, 2003, J APPL MICROBIOL, V94, p37S, DOI 10.1046/j.1365-2672.94.s1.5.x
   Kiktev D, 2003, J CLIMATE, V16, P3560, DOI 10.1175/1520-0442(2003)016<3560:COMAOT>2.0.CO;2
   Mahmood R, 2004, INT J CLIMATOL, V24, P311, DOI 10.1002/joc.992
   New M, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006289
   Nicholls N, 2007, PROG PHYS GEOG, V31, P77, DOI 10.1177/0309133307073885
   Peterson TC, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2007JD009453
   Tank AMGK, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006316
   Tank A.M. G. Klein., 2009, Climate Data and Monitoring, Rep. WCDMP-No. 72, P1
   Tank AMGK, 2002, INT J CLIMATOL, V22, P1441, DOI 10.1002/joc.773
   Thomas MK, 2006, INT J ENVIRON HEAL R, V16, P167, DOI 10.1080/09603120600641326
   Trenberth KE, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P235
   von Storch H., 1999, Statistical Analysis in Climate Research
   Williams CN, 2006, ORNL CDIAC 118
   World Meteorological Organization, 2010, WMO STATEMENT ON THE
   Zhang XB, 2005, J CLIMATE, V18, P1641, DOI 10.1175/JCLI3366.1
   Zhang XB, 2009, INT J CLIMATOL, V29, P321, DOI 10.1002/joc.1738
NR 29
TC 34
Z9 41
U1 0
U2 54
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1873-9318
EI 1873-9326
J9 AIR QUAL ATMOS HLTH
JI Air Qual. Atmos. Health
PD MAR
PY 2013
VL 6
IS 1
BP 247
EP 257
DI 10.1007/s11869-011-0168-x
PG 11
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 095TO
UT WOS:000315357800022
DA 2025-01-10
ER

PT J
AU Adebamowo, M
   Ilesanmi, AO
AF Adebamowo, Mike
   Ilesanmi, Adetokunbo O.
TI STUDY OF BUILDING ADAPTATION IN WARM HUMID CLIMATE IN NIGERIA
SO OPEN HOUSE INTERNATIONAL
LA English
DT Article
DE Adaptive Comfort; Behavioral Adaptation; Building Adaptation; Climate
   Change; Structural Strategies
ID THERMAL COMFORT
AB Buildings have a considerable impact on the environment being responsible for a substantial proportion of global energy consumption, thus contributing significantly to the anthropogenic CO2 emissions, which evidence suggests is the main cause of climate change. Mitigation and adaptation measures are required to tackle the challenges of climate change. Adaptive measures - structural and behavioural strategies - are the focus of this paper. Structural strategies include flexible and adaptive structural systems; while behavioural strategies cover the spatial, personal, and psychological control measures which may influence the design and operations of buildings. The study explores the adaptive thermal comfort of occupants and examines the design strategies for adapting buildings to climate change in the tropical context, with a view to determine the effectiveness of these strategies as observed in the case study. The study was conducted during the rainy and dry seasons in Abeokuta, Ogun State, Nigeria, located in a warm humid climate zone.
   The Institute of Venture Design student hostel was used as case-study to conduct the survey on a sample of 40 respondents by means of structured questionnaire. The respondents' thermal sensation and access to thermal controls were determined, and their thermal sensation and thermal adaptability in both seasons comparatively analyzed. Indoor environmental parameters including air temperature, mean radiant temperature, relative humidity and air velocity were also measured. The data were analyzed using relevant descriptive and inferential statistics. The study discussed the effectiveness of design strategies available for building adaptation in an era of climate change within the warm humid environment, concluding on the need for greater synergy between the techno-structural and socio-behavioural dimensions of building adaptation.
C1 [Adebamowo, Mike] Univ Lagos, Dept Architecture, Lagos, Nigeria.
   [Ilesanmi, Adetokunbo O.] Obafemi Awolowo Univ, Dept Architecture, Ife, Nigeria.
C3 University of Lagos; Obafemi Awolowo University
RP Adebamowo, M (corresponding author), Univ Lagos, Dept Architecture, Lagos, Nigeria.
EM adebamowomichael@yahoo.com; aoikcom@yahoo.com
OI Adebamowo, Michael Adeloye/0000-0001-9178-1321
CR Ajibola K., 2000, Design for Comfort in Nigeria - A Bioclimatic Approach
   Aktacir MA, 2010, APPL ENERG, V87, P599, DOI 10.1016/j.apenergy.2009.05.008
   ALTMONTE S., 2008, J SUSTAINABLE DEV, V1, P1
   Altomonte S., 2008, J. Sustain. Dev, V1, P97, DOI [10.5539/jsd.v1n1p97, DOI 10.5539/JSD.V1N1P97]
   [Anonymous], ENV DES
   [Anonymous], 1998, ASHRAE Trans
   [Anonymous], P C COMF EN US BUILD
   [Anonymous], 1998, ASHRAE T
   ASHRAE, 2004, ASHRAE 55-04
   AULICIEMS A, 1981, INT J BIOMETEOROL, V25, P109, DOI 10.1007/BF02184458
   AULICIEMS A., 1981, INT J BIOMETEOROL, V25, P2
   Barlow S, 2007, ENERG BUILDINGS, V39, P837, DOI 10.1016/j.enbuild.2007.02.002
   Brager GS, 1998, ENERG BUILDINGS, V27, P83, DOI 10.1016/S0378-7788(97)00053-4
   Charles K.E., 2003, IRC-RR-162
   Dayaratne R., 2000, OPEN HOUSE INT, V25, P5
   DAYARATNE R., 2000, OPEN HOUSE INT, V25, P3
   DE DEAR R.J., 2002, ENERG BUILDINGS, V34, P6
   de Dear RJ, 2002, ENERG BUILDINGS, V34, P549, DOI 10.1016/S0378-7788(02)00005-1
   Fanger P.O., 1982, ENVIRON ENG
   Feriadi H, 2004, ENERG BUILDINGS, V36, P614, DOI 10.1016/j.enbuild.2004.01.011
   Humphreys MA., 1979, Indoor Climate, P699
   ISO, 2007, EN15251 ISO CEN
   MALLICK F. H., 2000, OPEN HOUSE INT, V25, P3
   McCartney KJ, 2002, ENERG BUILDINGS, V34, P623, DOI 10.1016/S0378-7788(02)00013-0
   Metz B., 2007, Climate change
   Morgan CA., 2002, Indoor Air, P98
   Mourshed M, 2011, APPL ENERG, V88, P3737, DOI 10.1016/j.apenergy.2011.05.024
   Nicol F, 2004, ENERG BUILDINGS, V36, P628, DOI 10.1016/j.enbuild.2004.01.016
   Nicol F, 2007, 2 PALENC C 28 AIVC C, V2, P708
   Nicol F, 2007, SOL ENERGY, V81, P295, DOI 10.1016/j.solener.2006.07.007
   NICOL J.F., 2004, ENERG BUILDINGS, V36, P7
   NICOL J.F., 2007, SOLAR ENERGY J, V81, P3
   Nicol J.F., 1972, CIB S THERM COMF BUI, DOI [10.1080/09613217308550237, DOI 10.1080/09613217308550237]
   Nicol JF, 2002, ENERG BUILDINGS, V34, P563, DOI 10.1016/S0378-7788(02)00006-3
   Olesen BW, 2007, ENERG BUILDINGS, V39, P740, DOI 10.1016/j.enbuild.2007.02.011
   RODRIGUEZ R.S., 2009, P 5 URB RES S 28 30
   SANGOWAWA T., 2008, P C AIR COND LOW CAR
   Satterthwaite D, 2009, ENVIRON URBAN, V21, P545, DOI 10.1177/0956247809344361
   Shah A., 2012, CLIMATE CHANGE GLOBA
   Smith P.F., 2005, ARCHITECTURE CLIMATE
   Smith P.F., 2007, Sustainability at the cutting edge: emerging technologies for low energy buildings
   Steemers K, 2003, BUILD RES INF, V31, P291, DOI 10.1080/0961321032000097692
   STEEMERS K., 2003, BUILD RES INF, V31, P3
   TZONIS A., 2004, TROPICAL ARCHITECTUR
NR 44
TC 2
Z9 2
U1 0
U2 9
PU OPEN HOUSE INT
PI GREAT BRITAIN
PA URBAN INTERNATIONAL PRESS, PO BOX 74, GATESHEAD, TYNE & WEAR, GREAT
   BRITAIN, NE9 5UZ, ENGLAND
SN 0168-2601
J9 OPEN HOUSE INT
JI Open House Int.
PD DEC
PY 2012
VL 37
IS 4
BP 72
EP 80
PG 9
WC Architecture; Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI); Arts &amp; Humanities Citation Index (A&amp;HCI)
SC Architecture; Environmental Sciences & Ecology; Urban Studies
GA 068SZ
UT WOS:000313387800008
DA 2025-01-10
ER

PT J
AU Bjarnadottir, S
   Li, Y
   Stewart, MG
AF Bjarnadottir, Sigridur
   Li, Yue
   Stewart, Mark G.
TI A probabilistic-based framework for impact and adaptation assessment of
   climate change on hurricane damage risks and costs
SO STRUCTURAL SAFETY
LA English
DT Article
DE Climate change; Hurricane; Damage; Decision making; Loss estimation;
   Retrofit; Risk assessment; Uncertainty; Vulnerability
ID VULNERABILITY
AB This paper presents a probabilistic-based framework to assess the potential hurricane risks to residential construction under various wind speed change scenarios due to potential climate change. Every year hurricane (cyclone) hazards cause extensive economic losses and social disruption around the world. Annual hurricane damage in the United States (US) is around $6 billion in recent years. Hurricane intensity or/and frequency may change due to the increase in sea surface temperature as a result of climate change. Implications of the changing hazard patterns on hurricane risk assessment warrants an investigation to evaluate the potential impact of climate change. The framework includes probabilistic models of hurricane occurrence and intensity and conditional damage state probabilities (vulnerability model) for typical residential construction in the US, and an assessment of the cost-effectiveness of various climate change adaptation strategies. A case study of Miami-Dade County, Florida is presented to illustrate the framework under various scenarios of change in maximum annual wind speed over 50 years. Demographic information, such as median house value and changes in house numbers, and distribution of houses on different exposure, is used to estimate the time-dependent probable damage with or without possible climate change induced change in wind speed. This study shows that climate change may have a substantial impact on the damage and loss estimation in coastal areas, and that certain adaptation strategies can cost effectively decrease the damage, even if the wind speed does not change. (C) 2011 Elsevier Ltd. All rights reserved.
C1 [Bjarnadottir, Sigridur; Li, Yue] Michigan Technol Univ, Dept Civil & Environm Engn, Houghton, MI 49931 USA.
   [Stewart, Mark G.] Univ Newcastle, Sch Engn, Ctr Infrastruct Perforrnance & Reliabil, Callaghan, NSW 2308, Australia.
C3 Michigan Technological University; University of Newcastle
RP Bjarnadottir, S (corresponding author), Michigan Technol Univ, Dept Civil & Environm Engn, Houghton, MI 49931 USA.
EM sobjarna@mtu.edu; yueli@mtu.edu; mark.stewart@newcastle.edu.au
RI Li, Yue/F-9000-2010; Stewart, Mark/G-7415-2013
OI Stewart, Mark/0000-0001-6887-6533; Li, Yue/0000-0002-2654-1580
FU Center for Infrastructure Performance and Reliability; Center for
   Infrastructure Performance and Reliability at The University of
   Newcastle, Australia
FX The authors thank Yuejun Yin, doctoral candidate at MTU, for his
   assistance in performing some of the analyses. Some of this work was
   undertaken while the second author was supported by a Center for
   Infrastructure Performance and Reliability Visiting Fellowship. The
   second author appreciates the financial support provided by the Center
   for Infrastructure Performance and Reliability at The University of
   Newcastle, Australia.
CR AGO (Australian Greenhouse Office), 2007, ASS NEED AD BUILD UN
   [Anonymous], 1993, ASS DAM SINGL FAM HO
   [Anonymous], 2006, ASCE 7-05
   [Anonymous], THESIS CLEMSON U
   BATTS ME, 1980, BSS124 NBS US DEP CO
   Chen SC, 2009, GOV INFORM Q, V26, P285, DOI 10.1016/j.giq.2008.12.004
   Elsner JB, 2008, NATURE, V455, P92, DOI 10.1038/nature07234
   Emanuel K, 2005, NATURE, V436, P686, DOI 10.1038/nature03906
   *FEMA, 2008, HAZUS MH HURR MOD
   Georgiou P., 1985, Design wind speeds in tropical cyclone prone regions
   HATCHER M, 2009, PRICE IS RIGHT MANY
   Huang ZG, 2001, RELIAB ENG SYST SAFE, V74, P239, DOI 10.1016/S0951-8320(01)00086-2
   Jain VK, 2007, J INFRASTRUCT SYST, V13, P31, DOI 10.1061/(ASCE)1076-0342(2007)13:1(31)
   Khanduri AC, 2003, J WIND ENG IND AEROD, V91, P455, DOI 10.1016/S0167-6105(02)00408-7
   Klotzbach PJ, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2006GL025881
   Landsea C.W., 2007, EOS, Transactions, American Geophysical Union, V88, P197, DOI DOI 10.1029/2007EO180001
   Landsea CW, 2006, SCIENCE, V313, P452, DOI 10.1126/science.1128448
   Leicester R.H., 1979, Proc. 5th Int. Conf. on Wind Engineering, P23
   Leicester R.H., 1981, Proc. 3rd Int. Conf. on Structural Safety and Reliability, P761
   Li Y, 2009, AUST J STRUCT ENG, V9, P17, DOI 10.1080/13287982.2009.11465006
   Li Y., 2006, ENG STRUCT, V28, P1009, DOI DOI 10.1016/J.ENGSTRUCT.2005.11.005
   Li Y, 2011, NAT HAZARDS REV, V12, P9, DOI 10.1061/(ASCE)NH.1527-6996.0000024
   Moreno D., 2008, Miami-Dade County Workforce Housing Needs Assessment
   *NOAA, 2009, NOAA STORM SURG SCAL
   Pielke R. A., 2008, Nat. hazards Rev, V9, P29, DOI [10.1061/(asce)1527-6988(2008)9:1(29), DOI 10.1061/(ASCE)1527-6988(2008)9:1(29), 10.1061/(ASCE)1527-6988(2008)9:1(29)]
   Pielke R.A.J., 1997, Hurricanes: Their nature and impacts on society
   Pielke RA, 2005, B AM METEOROL SOC, V86, P1571, DOI 10.1175/BAMS-86-11-1571
   Pinelli J.P., 2009, P 11 AMERICAS C WIND
   *PLANN RES SEC, 2003, MIAM DAD COUNT DEP P
   Powell MD, 2007, B AM METEOROL SOC, V88, P513, DOI 10.1175/BAMS-88-4-513
   Pryor SC., 2009, IOP C SERIES EARTH E
   *REALYTRAC INC, 2008, MIAM BEACH
   Reardon GF., 1988, Australasian Structural Engineering Conference, V2, P1007
   Roth RJ, 1997, HURRICANES, P261
   [Solomon S. IPCC IPCC], 2007, CLIMATE CHANGE 2007
   [Solomon S. IPCC IPCC], 2007, Contribution of working group I to the fourth assessment report of the Intergovernmental Panel on Climate Change, P996
   SPARKS PR, 1994, J WIND ENG IND AEROD, V53, P145, DOI 10.1016/0167-6105(94)90023-X
   Stewart MG, 2009, AUST J STRUCT ENG, V10, P121, DOI 10.1080/13287982.2010.11465038
   Stewart M.G., 2003, NAT HAZARDS REV, V4, P12, DOI 10.1061/(ASCE)1527-6988(2003)4:1(12)
   *US CENS BUR, 2009, STAT CONT QUICK FACT
   *US GLOB CHANG RES, 2009, WHIT HOUS GLOB CLIM
   Vickery P.J., 2006, Natural Hazards Review, V7, P94, DOI [10.1061/(asce)1527-6988(2006)7:2(94), DOI 10.1061/(ASCE)1527-6988(2006)7:2(94), 10.1061/(ASCE)1527-6988(2006)7:2(94)]
   Vickery PJ, 2009, J STRUCT ENG, V135, P301, DOI 10.1061/(ASCE)0733-9445(2009)135:3(301)
   Vickery PJ, 2000, J STRUCT ENG-ASCE, V126, P1222, DOI 10.1061/(ASCE)0733-9445(2000)126:10(1222)
   VICKERY PJ, 1995, J STRUCT ENG-ASCE, V121, P1700, DOI 10.1061/(ASCE)0733-9445(1995)121:11(1700)
   Webster PJ, 2005, SCIENCE, V309, P1844, DOI 10.1126/science.1116448
   Wen YK, 2001, RELIAB ENG SYST SAFE, V73, P223, DOI 10.1016/S0951-8320(01)00047-3
   Zigomanis A., 2007, Land Prices Still Challenge for New Housing Market. Property Council of Australia
NR 48
TC 80
Z9 96
U1 2
U2 67
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0167-4730
EI 1879-3355
J9 STRUCT SAF
JI Struct. Saf.
PY 2011
VL 33
IS 3
BP 173
EP 185
DI 10.1016/j.strusafe.2011.02.003
PG 13
WC Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering
GA 790GC
UT WOS:000292575500001
DA 2025-01-10
ER

PT J
AU Zamin, TJ
   Baillie, JEM
   Miller, RM
   Rodríguez, JP
   Ardid, A
   Collen, B
AF Zamin, Tara J.
   Baillie, Jonathan E. M.
   Miller, Rebecca M.
   Rodriguez, Jon Paul
   Ardid, Ana
   Collen, Ben
TI National Red Listing Beyond the 2010 Target
SO CONSERVATION BIOLOGY
LA English
DT Article
DE 2010 biodiversity target; biodiversity indicators; Convention on
   Biological Diversity; conservation priorities; gap analysis; Millennium
   Development Goals; national red lists; regional red lists; threatened
   species
ID CONSERVATION; BIODIVERSITY; CRITERIA; INDEX; CATEGORIES; WORLDWIDE
AB Following creation of the 2010 Biodiversity Target under the Convention on Biological Diversity and adoption of the United Nations Millennium Development Goals, information on status and trends of biodiversity at the national level has become increasingly important to both science and policy. National red lists (NRLs) of threatened species may provide suitable data for reporting on progress toward these goals and for informing national conservation priority setting. This information will also become increasingly important for developing species-and ecosystem-based strategies for climate change adaptation. We conducted a thorough global review of NRLs in 109 countries and analyzed gaps in NRL coverage in terms of geography and taxonomy to determine priority regions and taxonomic groups for further investment. We then examined correlations between the NRL data set and gross domestic product (GDP) and vertebrate species richness. The largest geographic gap was in Oceania, followed by middle Africa, the Caribbean, and western Africa, whereas the largest taxonomic gaps were for invertebrates, fungi, and lichens. The comprehensiveness of NRL coverage within a given country was positively correlated with GDP and negatively correlated with total vertebrate richness and threatened vertebrate richness. This supports the assertion that regions with the greatest and most vulnerable biodiversity receive the least conservation attention and indicates that financial resources may be an integral limitation. To improve coverage of NRLs, we propose a combination of projects that target underrepresented taxa or regions and projects that provide the means for countries to create or update NRLs on their own. We recommend improvements in knowledge transfer within and across regions as a priority for future investment.
C1 [Zamin, Tara J.; Collen, Ben] Zool Soc London, Inst Zool, London NW1 4RY, England.
   [Baillie, Jonathan E. M.] Zool Soc London, Conservat Programmes, London NW1 4RY, England.
   [Miller, Rebecca M.; Rodriguez, Jon Paul] Inst Venezolano Invest Cient, Ctr Ecol, Caracas 1020A, Venezuela.
   [Rodriguez, Jon Paul] Provita, Caracas 1041A, Venezuela.
   [Ardid, Ana] Univ London Imperial Coll Sci Technol & Med, Div Biol, Ascot SL5 7PY, Berks, England.
C3 Zoological Society of London; Zoological Society of London; Venezuelan
   Institute Science Research; Imperial College London
RP Zamin, TJ (corresponding author), Queens Univ, Dept Biol, Kingston, ON K7L 3N6, Canada.
EM tara.zamin@queensu.ca
RI Collen, Ben/D-5055-2011; Rodriguez, Jon Paul/A-1491-2009; Collen,
   Ben/F-2543-2016
OI Rodriguez, Jon Paul/0000-0001-5019-2870; Zamin,
   Tara/0000-0002-0991-6651; Collen, Ben/0000-0003-2564-4243
FU Rufford Maurice Laing Foundation
FX We thank all the NRL contacts who contributed data to the centralized
   database and website and whose communication helped inform the ideas in
   this paper. Financial support was provided in part by the Rufford
   Maurice Laing Foundation (T.J.Z., B.C.). Provita is a member of the
   Wildlife Trust Alliance.
CR [Anonymous], 2008, State of the World's Birds: Indicators for our Changing World
   [Anonymous], 2004, IUCN red list categories and criteria
   [Anonymous], COMP MACR CONT REG G
   [Anonymous], 2008, IUCN RED LIST THREAT, P4
   [Anonymous], ARCGIS 9 2
   [Anonymous], 2005, EC HUM WELL BEING BI
   [Anonymous], UNEPCBDCOP20
   [Anonymous], 2002, LISTE ROUGE LIBELLUL
   [Anonymous], 2006, NORSK RODLISTE 2006
   *ARTDATABANKEN, 2009, RODL 2010
   Baillie JEM, 2008, CONSERV LETT, V1, P18, DOI 10.1111/j.1755-263X.2008.00009.x
   Balmford A, 2005, SCIENCE, V307, P212, DOI 10.1126/science.1106281
   Balmford A, 2005, PHILOS T R SOC B, V360, P221, DOI 10.1098/rstb.2004.1599
   Butchart SHM, 2005, PHILOS T R SOC B, V360, P255, DOI 10.1098/rstb.2004.1583
   Butchart SHM, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000140
   Clark JA, 2002, SCIENCE, V297, P191
   Clausnitzer V, 2009, BIOL CONSERV, V142, P1864, DOI 10.1016/j.biocon.2009.03.028
   Collar N. J., 1996, Oryx, V30, P121
   Collen B., 2009, Wildlife in a changing world An analysis of the 2008 IUCN Red List of Threatened Species, P67
   COLLEN B, 2008, TROPICAL CONSERVATIO, V1, P96
   Collen B, 2009, CONSERV BIOL, V23, P317, DOI 10.1111/j.1523-1739.2008.01117.x
   Convention on Biological Diversity, 2019, REP C PART CONV BIOL
   Cumberlidge N, 2009, BIOL CONSERV, V142, P1665, DOI 10.1016/j.biocon.2009.02.038
   de Grammont PC, 2006, CONSERV BIOL, V20, P14, DOI 10.1111/j.1523-1739.2006.00352.x
   Gärdenfors U, 2001, CONSERV BIOL, V15, P1206, DOI 10.1046/j.1523-1739.2001.00112.x
   Gardenfors U., 2000, 2000 RED LIST SWEDIS
   Gardenfors U., 2005, Rodlistade arter i Sverige 2005. The 2005 Red List of Swedish Species
   Glowacinski Z., 2002, Red List of Threatened Animals in Poland (in Polish)
   Golding JS, 2002, 14 SABONET
   Green RE, 2005, CONSERV BIOL, V19, P56, DOI 10.1111/j.1523-1739.2005.00289.x
   *IUCN, 2008, EUR RED LISTS
   *IUCN, 2008, IUCN CAR RED LIST TH
   *IUCN, 2009, ASS METH
   IUCN, 2003, GUID APPL IUCN RED L
   Lamoreux J, 2003, TRENDS ECOL EVOL, V18, P214, DOI 10.1016/S0169-5347(03)00090-9
   Lee TM, 2008, P ROY SOC B-BIOL SCI, V275, P1261, DOI 10.1098/rspb.2007.1732
   Mace Georgina., 2005, Ecosystems and human well-being, V1, P77
   MACE GM, 1991, CONSERV BIOL, V5, P148, DOI 10.1111/j.1523-1739.1991.tb00119.x
   Miller RM, 2007, CONSERV BIOL, V21, P684, DOI 10.1111/j.1523-1739.2007.00656.x
   Miller RM, 2006, SCIENCE, V313, P441, DOI 10.1126/science.313.5786.441a
   Molur S, 2003, STATUS S ASIAN PRIMA
   Pauly D, 2005, PHILOS T ROY SOC B, V360, P415, DOI 10.1098/rstb.2004.1597
   Pereira HM, 2006, TRENDS ECOL EVOL, V21, P123, DOI 10.1016/j.tree.2005.10.015
   Quayle JF, 2007, CONSERV BIOL, V21, P1241, DOI 10.1111/j.1523-1739.2007.00753.x
   Rodrigues ASL, 2006, TRENDS ECOL EVOL, V21, P71, DOI 10.1016/j.tree.2005.10.010
   Rodriguez Jon Paul, 2008, Endangered Species Research, V6, P193, DOI 10.3354/esr006193
   Rodríguez JP, 2000, NATURE, V403, P241, DOI 10.1038/35002183
   Schipper J, 2008, SCIENCE, V322, P225, DOI 10.1126/science.1165115
   Stuart SN, 2004, SCIENCE, V306, P1783, DOI 10.1126/science.1103538
   *UNEP WCMC, 1994, WCMC BIOD SER, V1, P28
   United Nations, 2000, A/RES/55/2
   World Bank, 2008, GROSS DOM PROD 2007
   ZAMIN T, 2008, 4 IUCN WORLD CONS C
NR 53
TC 71
Z9 78
U1 1
U2 38
PU WILEY-BLACKWELL PUBLISHING, INC
PI MALDEN
PA COMMERCE PLACE, 350 MAIN ST, MALDEN 02148, MA USA
SN 0888-8892
J9 CONSERV BIOL
JI Conserv. Biol.
PD AUG
PY 2010
VL 24
IS 4
BP 1012
EP 1020
DI 10.1111/j.1523-1739.2010.01492.x
PG 9
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA 628UQ
UT WOS:000280148600013
PM 20337689
OA Bronze
DA 2025-01-10
ER

PT J
AU van Eldik, Z
   Timmermans, W
   de Haas, W
AF van Eldik, Zoe
   Timmermans, Wim
   de Haas, Wim
TI Transition Processes in Dutch Spatial Planning and Water Management: A
   Shift to the Natural
SO URBAN PLANNING
LA English
DT Article
DE climate adaptation; landscape-based visioning; Netherlands 2120; water
   management
AB Climate change is causing more extreme weather conditions in the Netherlands. In response, local governments such as Provinces, Municipalities, and regional Water Boards are encouraged to explore more nature-inclusive ways to keep society safe from flooding and drought. This is considered a transition from the earlier belief that environmental and societal challenges can be solved solely through technical engineering. Instead, landscape-based, climate-adaptive visions offer alternatives on how Dutch regions can maintain water security while also incorporating space for biodiversity, climate mitigation, healthy livelihood and expanding populations. So far, not much is known about the challenges project leaders from different organisations and local governments are facing during the development and implementation of such visions. To address this gap, we used the concept of learning history to build an archive capturing the insider perspective of project leaders tasked with co-creating landscape-based, climate-adaptive visions for future spatial planning and water management across four regions of the Netherlands. By observing and interviewing project leaders, we noticed how co-creating long-term visions enabled more climate-conscious dialogues between local government authorities and civil stakeholder groups. Reflecting on this archive, we gained insights into the strategic challenges associated with adopting biophysical processes as a foundational framework for future spatial development and policy-making. Furthermore, we documented examples of tactical approaches employed by project leaders to navigate these challenges effectively.
C1 [van Eldik, Zoe] Wageningen Environm Res, Biodivers & Policy, Wageningen, Netherlands.
   [Timmermans, Wim] Wageningen Environm Res, Climate Resilience, Wageningen, Netherlands.
   [de Haas, Wim] VVM Network Environm Profess, Groningen, Netherlands.
C3 Wageningen University & Research; Wageningen University & Research
RP van Eldik, Z (corresponding author), Wageningen Environm Res, Biodivers & Policy, Wageningen, Netherlands.
EM zoe.vaneldik@wur.nl
FU Ministry of Agriculture, Fishery, Foods Security and Nature of the
   Netherlands [KB-36-005-006]; Wageningen University Knowledge Base
   programme: KB36 Biodiversity in a Nature Inclusive Society
   [KB-36-005-006]
FX This research was supported by the Ministry of Agriculture, Fishery,
   Foods Security and Nature of the Netherlands and the Wageningen
   University Knowledge Base programme: KB36 Biodiversity in a Nature
   Inclusive Society, under grant number KB-36-005-006 (Het Ronde
   Landschap) .
CR Algemene Bestuursdienst, 2021, Kiezen en delen. Advies van de Studiegroep Ruimtelijke inrichting landelijk gebied
   Baptist M., 2019, Wageningen University & Research, DOI [10.18174/512277, DOI 10.18174/512277]
   de Haas W., 2022, Het Spoor Van Zen and the Art of Motorcycle Maintenance, V1st
   De Haas W., 2006, Planning als gesprek. Grondslagen voor ruimtelijke planning en beleid in de eenentwintigste eeuw
   Deltares, 2021, Op Waterbasis: grenzen aan de maakbaarheid van ons water en bodemsysteem
   Disco C, 2002, SCI TECHNOL HUM VAL, V27, P206, DOI 10.1177/016224390202700202
   Ehnert F, 2023, J CLEAN PROD, V417, DOI 10.1016/j.jclepro.2023.138084
   Forester J, 2023, PLAN THEORY PRACT, V24, P147, DOI 10.1080/14649357.2023.2210474
   Geels FW, 2011, ENVIRON INNOV SOC TR, V1, P24, DOI 10.1016/j.eist.2011.02.002
   Hajer MA, 2004, DISCOURSE THEORY IN EUROPEAN POLITICS: IDENTITY, POLICY AND GOVERNANCE, P297
   Interdepartementaal beleidsonderzoek ruimtelijke ordening, 2021, Van woorden naar daden: Over de governance van de ruimtelijke ordening (Versie 1)
   Kleiner A, 1997, HARVARD BUS REV, V75, P172
   Lemmens P., 2017, Techne: Research in Philosophy and Technology, V21, P114, DOI [10.5840/techne2017212/363, DOI 10.5840/TECHNE2017212/363]
   Lenzholzer S., 2022, De stad van 2120: Natuurlijk! Wageningen University & Research, DOI [10.18174/565411, DOI 10.18174/565411]
   Lintsen H, 2002, TECHNOL CULT, V43, P549, DOI 10.1353/tech.2002.0126
   Loorbach D, 2010, GOVERNANCE, V23, P161, DOI 10.1111/j.1468-0491.2009.01471.x
   Meadows DH, 2008, THINKING SYSTEMS PRI
   Ministerie van Binnenlandse Zaken en Koninkrijksrelaties, 2022, Kamerbrief over nationale regie in de ruimtelijke ordening
   Pedroli G. B. M., 2021, European Public Mosaic, V2021, P62
   Planbureau voor de leefomgeving, 2021, Grote opgave in een beperkte ruimte
   Raad van State, 2019, Het Programma Aanpak Stikstof (PAS) mag niet als basis voor activiteiten worden gebruikt (Case No. 201600614/3)
   Raad voor de leefomgeving en infrastructuur, 2021, Geef richting, maak ruimte!
   Raad voor het openbaar bestuur, 2021, Rol nemen, Ruimte geven. Advies over de rollen van het rijk bij interbestuurlijke samenwerking
   Rijkswaterstaat, 2019, Leren van Ruimte voor de rivier
   Rijkswaterstaat, 2021, Resultaten van 10 jaar Bouwen met de Natuur
   Rotmans J., 2005, Maatschappelijke innovatie, tussen droom en werkelijkheid staat complexiteit
   Termeer CJAM, 2019, POLICY SOC, V38, P298, DOI 10.1080/14494035.2018.1497933
   Timmermans W., 2013, doctoral dissertation
   Vallance S, 2021, PLAN THEORY PRACT, V22, P707, DOI 10.1080/14649357.2021.1966081
   van Asseldonk M., 2020, Economische effecten van droogte in 2018 en 2019: Een regionale analyse akkerbouw en melkveehouderij (No. 2021-014)
   van den Bosch S., 2008, DEEPENING BROADENING
   van der Brugge R, 2005, REG ENVIRON CHANGE, V5, P164, DOI 10.1007/s10113-004-0086-7
   van Rooij S, 2021, LAND-BASEL, V10, DOI 10.3390/land10010016
   Visser S, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11236792
NR 34
TC 0
Z9 0
U1 2
U2 2
PU COGITATIO PRESS
PI LISBON
PA RUA FIALHO ALMEIDA 14, 2 ESQ, LISBON, 1070-129, PORTUGAL
SN 2183-7635
J9 URBAN PLAN
JI Urban Plan.
PY 2024
VL 9
AR 8056
DI 10.17645/up.8056
PG 17
WC Urban Studies
WE Emerging Sources Citation Index (ESCI)
SC Urban Studies
GA J7S7X
UT WOS:001339030800003
OA gold
DA 2025-01-10
ER

PT J
AU Boehnke, D
   Krehl, A
   Mörmann, K
   Volk, R
   Lützkendorf, T
   Naber, E
   Becker, R
   Norra, S
AF Boehnke, Denise
   Krehl, Alice
   Moermann, Kai
   Volk, Rebekka
   Luetzkendorf, Thomas
   Naber, Elias
   Becker, Ronja
   Norra, Stefan
TI Mapping Urban Green and Its Ecosystem Services at Microscale-A
   Methodological Approach for Climate Adaptation and Biodiversity
SO SUSTAINABILITY
LA English
DT Article
DE climate adaptation; urban green; mapping; ecosystem service cascade
   model; surface type-function-concept; planning indicators; city district
   level; urban planning practice; climate change
ID SPACE; FRAMEWORK; TREES; INFRASTRUCTURE; CITIES; ENVIRONMENT;
   CHALLENGES; MITIGATION; MANAGEMENT; VEGETATION
AB The current awareness of the high importance of urban green leads to a stronger need for tools to comprehensively represent urban green and its benefits. A common scientific approach is the development of urban ecosystem services (UES) based on remote sensing methods at the city or district level. Urban planning, however, requires fine-grained data that match local management practices. Hence, this study linked local biotope and tree mapping methods to the concept of ecosystem services. The methodology was tested in an inner-city district in SW Germany, comparing publicly accessible areas and non-accessible courtyards. The results provide area-specific [m(2)] information on the green inventory at the microscale, whereas derived stock and UES indicators form the basis for comparative analyses regarding climate adaptation and biodiversity. In the case study, there are ten times more micro-scale green spaces in private courtyards than in the public space, as well as twice as many trees. The approach transfers a scientific concept into municipal planning practice, enables the quantitative assessment of urban green at the microscale and illustrates the importance for green stock data in private areas to enhance decision support in urban development. Different aspects concerning data collection and data availability are critically discussed.
C1 [Boehnke, Denise] Karlsruhe Inst Technol, Div Nat & Built Environm 4, D-76344 Eggenstein Leopoldshafen, Germany.
   [Krehl, Alice; Norra, Stefan] Univ Potsdam, Inst Environm Sci & Geog, D-14476 Potsdam, Germany.
   [Moermann, Kai; Luetzkendorf, Thomas] Karlsruhe Inst Technol, Inst Sustainable Management Housing & Real Estate, D-76131 Karlsruhe, Germany.
   [Volk, Rebekka; Naber, Elias] Karlsruhe Inst Technol, Inst Ind Prod, D-76187 Karlsruhe, Germany.
   [Becker, Ronja] Karlsruhe Inst Technol, Inst Geog & Geoecol, D-76131 Karlsruhe, Germany.
C3 Helmholtz Association; Karlsruhe Institute of Technology; University of
   Potsdam; Helmholtz Association; Karlsruhe Institute of Technology;
   Helmholtz Association; Karlsruhe Institute of Technology; Helmholtz
   Association; Karlsruhe Institute of Technology
RP Boehnke, D (corresponding author), Karlsruhe Inst Technol, Div Nat & Built Environm 4, D-76344 Eggenstein Leopoldshafen, Germany.
EM denise.boehnke@kit.edu; alice.krehl@uni-potsdam.de;
   kai.moermann@kit.edu; rebekka.volk@kit.edu; thomas.luetzkendorf@kit.edu;
   elias.naber@kit.edu; ronjabecker1@gmail.com; stefan.norra@uni-potsdam.de
RI Böhnke, Denise/KLZ-7233-2024; Volk, Rebekka/R-6755-2017
OI Naber, Elias/0000-0001-6945-2644; Boehnke, Denise/0000-0002-4697-9520;
   Volk, Rebekka/0000-0001-9930-5354
FU German Federal Ministry of Education and Research (Bundesministerium fur
   Bildung und Forschung-BMBF) [033W111A]
FX This research was funded by the German Federal Ministry of Education and
   Research (Bundesministerium fur Bildung und Forschung-BMBF) grant number
   033W111A and research project 'Namares' in the funding program
   'RES:Z-Ressourceneffiziente Stadtquartiere'. The BMBF is not responsible
   for results or recommendations stated by the authors.
CR Andersson-Sköld Y, 2018, J ENVIRON MANAGE, V205, P274, DOI 10.1016/j.jenvman.2017.09.071
   [Anonymous], BUNDESAMT BAUWESEN R
   Artmann M, 2019, ECOL INDIC, V96, P3, DOI 10.1016/j.ecolind.2018.10.059
   Artmann M, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9020198
   Ayanu YZ, 2012, ENVIRON SCI TECHNOL, V46, P8529, DOI 10.1021/es300157u
   Bastian Olaf, 2012, International Journal of Biodiversity Science Ecosystem Services & Management, V8, P5, DOI 10.1080/21513732.2011.631941
   Beichler S.A., 2017, Landscape Online, V51, P1, DOI [DOI 10.3097/LO.201751, 10.3097/LO.201751]
   Bennett EM, 2009, ECOL LETT, V12, P1394, DOI 10.1111/j.1461-0248.2009.01387.x
   Bibri SE, 2020, DEV BUILT ENVIRON, V4, DOI 10.1016/j.dibe.2020.100021
   Bochow M., 2010, URBAN BIODIVERSITY D, P255
   Boehnke D., 2021, FL CHENNUTZUNGSMONIT, P149, DOI 10.26084/13dfns-p014
   Boehnke D, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12040503
   Bolund P, 1999, ECOL ECON, V29, P293, DOI 10.1016/S0921-8009(99)00013-0
   Bosch M., 2017, BAUM AM BLATT ERK 64
   Breunig T., 2017, VERFEINERTES BIOTOPB
   Breuste Jurgen., 2013, Ekologia Bratislava, V32, P290, DOI [DOI 10.2478/EKO-2013-0026, 10.2478/eko-2013-0026]
   Brunner J, 2013, PLAN PRACT RES, V28, P231, DOI 10.1080/02697459.2012.733525
   Brzoska P, 2020, LAND-BASEL, V9, DOI 10.3390/land9050150
   Chen Y, 2021, GISCI REMOTE SENS, V58, P624, DOI 10.1080/15481603.2021.1933367
   City of Zurich, CIV ENG WAST DISP DE
   Cortinovis C, 2019, ECOSYST SERV, V38, DOI 10.1016/j.ecoser.2019.100946
   Costanza R, 1997, NATURE, V387, P253, DOI 10.1038/387253a0
   Dallimer M, 2011, BIOL LETTERS, V7, P763, DOI 10.1098/rsbl.2011.0025
   Dare PM, 2005, PHOTOGRAMM ENG REM S, V71, P169, DOI 10.14358/PERS.71.2.169
   De Valck J, 2019, ECOSYST SERV, V35, P139, DOI 10.1016/j.ecoser.2018.12.006
   Derkzen ML, 2015, J APPL ECOL, V52, P1020, DOI 10.1111/1365-2664.12469
   Destatis, 2022, NACHH BUND NACHH
   DiGiovanni-White K, 2018, J HYDROL, V562, P223, DOI 10.1016/j.jhydrol.2018.04.067
   Dominati E, 2010, ECOL ECON, V69, P1858, DOI 10.1016/j.ecolecon.2010.05.002
   Eisenack K, 2014, NAT CLIM CHANGE, V4, P867, DOI 10.1038/NCLIMATE2350
   European Commission, EU SDG IND SET 2021
   FMBW, 2018, LEITF VERK BAUMK
   Frick A, 2019, J GEOVIS SPAT ANAL, V3, DOI 10.1007/s41651-019-0030-5
   Gaffin SR, 2012, NAT CLIM CHANGE, V2, P704, DOI 10.1038/nclimate1685
   Gerber J.-D., 2018, Instruments of Land Policy: Dealing with Scarcity of Land, V1st, DOI [10.4324/9781315511658, DOI 10.4324/9781315511658-3, DOI 10.4324/9781315511658]
   Gill SE, 2007, Built Environ, V33, P115, DOI [10.2148/benv.33.1.115, DOI 10.2148/BENV.33.1.115]
   Gillner S, 2015, LANDSCAPE URBAN PLAN, V143, P33, DOI 10.1016/j.landurbplan.2015.06.005
   Goetzke R., 2014, FLACHENVERBRAUCH FLA
   Gómez-Baggethun E, 2013, ECOL ECON, V86, P235, DOI 10.1016/j.ecolecon.2012.08.019
   Goulson D, 2019, CURR BIOL, V29, pR967, DOI 10.1016/j.cub.2019.06.069
   Grunewald K, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16132300
   Gulyás A, 2006, BUILD ENVIRON, V41, P1713, DOI 10.1016/j.buildenv.2005.07.001
   Haase D, 2014, AMBIO, V43, P407, DOI 10.1007/s13280-014-0503-1
   Hallmann CA, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0185809
   Hansen R, 2019, ECOL INDIC, V96, P99, DOI 10.1016/j.ecolind.2017.09.042
   Jehling M, 2020, TOWN PLAN REV, V91, P217, DOI 10.3828/tpr.2020.13
   Jiang Y, 2018, ENVIRON SCI POLICY, V80, P132, DOI 10.1016/j.envsci.2017.11.016
   Kiese N, 2018, P INT C UR DEV REG, P699
   Klimprax Stadtklima, 2016, ANF BER KLIM BEL KOM
   Konarska J, 2016, INT J BIOMETEOROL, V60, P159, DOI 10.1007/s00484-015-1014-x
   Kuttler Wilhelm, 2011, Environmental Sciences Europe, V23, P11, DOI 10.1186/2190-4715-23-11
   Laureti F, 2018, CLIMATE, V6, DOI 10.3390/cli6010018
   Lehmann I, 2014, ECOL INDIC, V42, P58, DOI 10.1016/j.ecolind.2014.02.036
   LUBW Hrsg, 2018, ART BIOT LANDSCH SCH
   Luederitz C, 2015, ECOSYST SERV, V14, P98, DOI 10.1016/j.ecoser.2015.05.001
   Mansuroglu S, 2006, J ENVIRON MANAGE, V81, P175, DOI 10.1016/j.jenvman.2005.10.008
   Marando F, 2019, ECOL MODEL, V392, P92, DOI 10.1016/j.ecolmodel.2018.11.011
   McPhearson T, 2013, ECOSYST SERV, V5, pE11, DOI 10.1016/j.ecoser.2013.06.005
   Millennium Ecosystem Assessment, 2005, Ecosystem and Human Well-Being: a Synthesis
   M├╝ller N., 2017, FL CHENNUTZUNGSMONIT, V978, P73
   Naber E, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14148485
   Nielsen Anders B., 2014, Arboriculture & Urban Forestry, V40, P96
   Niemelä J, 2010, BIODIVERS CONSERV, V19, P3225, DOI 10.1007/s10531-010-9888-8
   Norton BA, 2015, LANDSCAPE URBAN PLAN, V134, P127, DOI 10.1016/j.landurbplan.2014.10.018
   Park J, 2017, URBAN FOR URBAN GREE, V21, P203, DOI 10.1016/j.ufug.2016.12.005
   Potschin MB, 2011, PROG PHYS GEOG, V35, P575, DOI 10.1177/0309133311423172
   Pristeri G, 2021, ISPRS INT J GEO-INF, V10, DOI 10.3390/ijgi10080538
   Rees W., 2008, URBAN ECOL, P537
   Reyes-Riveros R, 2021, URBAN FOR URBAN GREE, V61, DOI 10.1016/j.ufug.2021.127105
   Saaroni H, 2018, URBAN CLIM, V24, P94, DOI 10.1016/j.uclim.2018.02.001
   Scholz T, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030712
   Semeraro T, 2021, LAND-BASEL, V10, DOI 10.3390/land10020105
   Sukopp H., 1998, URBAN ECOL, P3
   Takács A, 2016, PROCEDIA ENVIRON SCI, V32, P97, DOI 10.1016/j.proenv.2016.03.015
   Teeb, 2010, The economics of ecosystems and biodiversity: ecological and economic foundations
   UNDESA, 2018, World Urbanization Prospects: The 2018 Revision
   United Nations SDG Indicators, GLOB IND FRAM SUST D
   Vogt J., 2018, UMSETZUNG KOMMUNALEN
   Volk R., 2021, FL CHENNUTZUNGSMONIT, P209, DOI 10.26084/13dfns-p019
   Weinmann M, 2017, REMOTE SENS-BASEL, V9, DOI [10.3390/rs9030277, 10.3390/rs903277]
   Werner P., 1999, BIOTOPE MAPPING URBA
   Wolch JR, 2014, LANDSCAPE URBAN PLAN, V125, P234, DOI 10.1016/j.landurbplan.2014.01.017
   Wurster D, 2014, AMBIO, V43, P454, DOI 10.1007/s13280-014-0502-2
   Yang MX, 2022, FORESTS, V13, DOI 10.3390/f13040616
   Zhou B, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-04242-2
   Ziter C, 2016, OIKOS, V125, P761, DOI 10.1111/oik.02883
NR 86
TC 6
Z9 6
U1 12
U2 56
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD AUG
PY 2022
VL 14
IS 15
AR 9029
DI 10.3390/su14159029
PG 26
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 3R9SQ
UT WOS:000839245000001
OA gold
DA 2025-01-10
ER

PT J
AU Zhou, QL
   Chen, W
   Wang, HT
   Wang, DL
AF Zhou, Qilong
   Chen, Wei
   Wang, Hongtao
   Wang, Dongliang
TI Spatiotemporal evolution and driving factors analysis of fractional
   vegetation coverage in the arid region of northwest China
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Arid area; Fractional vegetation cover; Spatiotemporal change; Driving
   force
ID CLIMATE-CHANGE; LOWER REACHES; DYNAMICS; WATER; RESTORATION; FEEDBACKS;
   EXTREMES; IMPACTS; NDVI
AB The arid region of northwest China (ARNC) is the most ecologically fragile region in China, and is characterized by harsh natural conditions, severe soil erosion, and poor soil fertility. Understanding long-term vegetation changes in this region is critical for effective environmental monitoring and climate change adaptation. Fractional vegetation coverage (FVC) is a key parameter for characterizing the ecological conditions of the ARNC. However, the reliance on low-resolution FVC and NDVI data due to the lack of medium-resolution data has limited our understanding of the environmental dynamics in this region. Therefore, this study addressed this gap by utilizing Landsat data to generate FVC data, enabling a detailed investigation of the spatial-temporal variations and driving factors of vegetation in the ARNC from 2000 to 2020. The results indicated the following: (1) The FVC was generally low, with an average of 0.191. The FVC was greater in the northwest and lower in the southeast in terms of spatial distribution features. The trend of FVC change in ARNC showed significant spatial variability, with degradation outweighing improvement. (2) The coefficient of variation of FVC was 0.377, indicating significant temporal fluctuations, with more stable conditions in the northwest than in the southeast. (3) The spatial differentiation of the FVC in ARNC was primarily driven by land cover types, evapotranspiration, and precipitation, with explanatory powers exceeding 30 % each. This study is significant because it provides a comprehensive understanding of vegetation dynamics in one of China's most vulnerable regions, offering critical insights for ecological restoration, desertification control, and sustainable development. The findings underscore the importance of targeted ecological governance to address the challenges posed by environmental degradation in the ARNC.
C1 [Zhou, Qilong; Chen, Wei] China Univ Min & Technol, Coll Geosci & Surveying Engn, Beijing 100083, Peoples R China.
   [Wang, Hongtao] Henan Polytech Univ, Sch Surveying & Land Informat Engn, Jiaozuo 454003, Peoples R China.
   [Wang, Dongliang] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
C3 China University of Mining & Technology; Henan Polytechnic University;
   Chinese Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS
RP Chen, W (corresponding author), China Univ Min & Technol, Coll Geosci & Surveying Engn, Beijing 100083, Peoples R China.
EM chenw@cumtb.edu.cn
RI Chen, Wei/GWZ-5380-2022; Zhou, Qilong/LGZ-9003-2024
FU National Natural Science Foundation of China [42371351]; Li Zhengqiang
   Expert Workstation of Yunnan Province [202205AF150031]
FX This research was funded by the National Natural Science Founda-tion of
   China (No. 42371351) and Li Zhengqiang Expert Workstation of Yunnan
   Province (202205AF150031).
CR Abatzoglou JT, 2018, SCI DATA, V5, DOI 10.1038/sdata.2017.191
   Aishan T, 2013, QUATERN INT, V311, P155, DOI 10.1016/j.quaint.2013.08.006
   Amantai N, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13234867
   An HC, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16083303
   [Anonymous], ORIGINPRO VERSION 20
   Bao AM, 2017, ECOL INDIC, V74, P261, DOI 10.1016/j.ecolind.2016.11.007
   Baudena M, 2008, WATER RESOUR RES, V44, DOI 10.1029/2008WR007172
   Bueno ML, 2021, J MT SCI-ENGL, V18, P1192, DOI 10.1007/s11629-020-6125-0
   Cai YF, 2022, CATENA, V217, DOI 10.1016/j.catena.2022.106530
   Camps-Valls G, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abc7447
   Chi HJ, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-37349-w
   Copernicus Climate Change Service (C3S), 2017, ERA5: fifth generation of ECMWF atmospheric reanalyses of the global climate, DOI [10.24381/cds.adbb2d4, DOI 10.24381/CDS.ADBB2D4]
   Deng HJ, 2014, ATMOS RES, V138, P346, DOI 10.1016/j.atmosres.2013.12.001
   Dou X, 2022, CATENA, V208, DOI 10.1016/j.catena.2021.105725
   Duveiller G, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-017-02810-8
   Fan DL, 2021, AGRIENGINEERING, V3, P971, DOI 10.3390/agriengineering3040061
   Fan MT, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14030519
   Fisher JB, 2017, WATER RESOUR RES, V53, P2618, DOI 10.1002/2016WR020175
   Gao X, 2000, REMOTE SENS ENVIRON, V74, P609, DOI 10.1016/S0034-4257(00)00150-4
   Gao X, 2021, GLOB ECOL CONSERV, V28, DOI 10.1016/j.gecco.2021.e01698
   Green JK, 2017, NAT GEOSCI, V10, P410, DOI [10.1038/NGEO2957, 10.1038/ngeo2957]
   Haq MA, 2022, COMPUT SYST SCI ENG, V42, P1031, DOI 10.32604/csse.2022.023221
   Haq MA, 2022, COMPUT SYST SCI ENG, V42, P837, DOI 10.32604/csse.2022.023016
   He ZL, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15174240
   Hua D., 2021, ENV CHALLENGES, V4, P100082, DOI [10.1016/j.envc.2021.100082, DOI 10.1016/J.ENVC.2021.100082]
   Jia K, 2015, IEEE T GEOSCI REMOTE, V53, P4787, DOI 10.1109/TGRS.2015.2409563
   Jiang YL, 2018, NAT HAZARDS, V92, P145, DOI 10.1007/s11069-018-3282-3
   Jiapaer G, 2011, AGR FOREST METEOROL, V151, P1698, DOI 10.1016/j.agrformet.2011.07.004
   Jin CH, 2024, NPJ CLIM ATMOS SCI, V7, DOI 10.1038/s41612-024-00572-x
   Jung M, 2010, NATURE, V467, P951, DOI 10.1038/nature09396
   Kang MP, 2023, FRONT ECOL EVOL, V11, DOI 10.3389/fevo.2023.1097817
   Kaur N, 2023, MULTIMED TOOLS APPL, DOI 10.1007/s11042-023-17629-3
   Kong ZJ, 2023, SCI TOTAL ENVIRON, V902, DOI 10.1016/j.scitotenv.2023.166133
   Li WJ, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14061301
   Li XR, 2014, SCI CHINA LIFE SCI, V57, P539, DOI 10.1007/s11427-014-4633-2
   Li XW, 2022, LAND-BASEL, V11, DOI 10.3390/land11101688
   Li Z, 2003, INT GEOSCI REMOTE SE, P2275
   Li Z, 2018, FRONT EARTH SCI-PRC, V12, P108, DOI 10.1007/s11707-017-0621-8
   Liu CX, 2022, ECOL INDIC, V138, DOI 10.1016/j.ecolind.2022.108818
   Liu L, 2023, SCI TOTAL ENVIRON, V905, DOI 10.1016/j.scitotenv.2023.167067
   Liu YC, 2022, REMOTE SENS ENVIRON, V269, DOI 10.1016/j.rse.2021.112821
   Liu Y, 2023, GEOPHYS RES LETT, V50, DOI 10.1029/2023GL102809
   Ma MY, 2023, SCI TOTAL ENVIRON, V860, DOI 10.1016/j.scitotenv.2022.160527
   Montandon LM, 2008, REMOTE SENS ENVIRON, V112, P1835, DOI 10.1016/j.rse.2007.09.007
   Mu QZ, 2011, REMOTE SENS ENVIRON, V115, P1781, DOI 10.1016/j.rse.2011.02.019
   NASA JPL, 2020, NASADEM Merged DEM Global 1 Arc Second V001 Data set., DOI [DOI 10.5067/MEASURES/NASADEM/NASADEM_HGT.001, 10.5067/MEaSUREs/NASADEM/NASADEMHGT.001, DOI 10.5067/MEASURES/NASADEM/NASADEMHGT.001, 10.5067/MEASURES/NASADEM/NASADEM_HGT.001]
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   Purevdorj T, 1998, INT J REMOTE SENS, V19, P3519, DOI 10.1080/014311698213795
   Rouse J.W., 1973, 3 ERTS S NASA, P309
   Saha Suranjana, 2011, CISL RDA, DOI 10.5065/D61C1TXF
   Song Y, 2021, LAND DEGRAD DEV, V32, P1192, DOI 10.1002/ldr.3788
   Song YF, 2021, GLOB ECOL CONSERV, V28, DOI 10.1016/j.gecco.2021.e01647
   Sun XF, 2024, J ENVIRON MANAGE, V356, DOI 10.1016/j.jenvman.2024.120678
   Tao S, 2022, ECOL INFORM, V70, DOI 10.1016/j.ecoinf.2022.101737
   Vicente-Serrano SM, 2010, J CLIMATE, V23, P1696, DOI 10.1175/2009JCLI2909.1
   Wang GJ, 2023, GLOB ECOL CONSERV, V45, DOI 10.1016/j.gecco.2023.e02531
   Wang HJ, 2022, FORESTS, V13, DOI 10.3390/f13071082
   Wang HJ, 2013, THEOR APPL CLIMATOL, V112, P15, DOI 10.1007/s00704-012-0698-7
   Wang JF, 2016, ECOL INDIC, V67, P250, DOI 10.1016/j.ecolind.2016.02.052
   Wang J, 2021, SCI TOTAL ENVIRON, V770, DOI 10.1016/j.scitotenv.2020.144833
   Wang SD, 2023, ECOL INDIC, V155, DOI 10.1016/j.ecolind.2023.111088
   Wang SM, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13071230
   Wang XF, 2020, DENDROCHRONOLOGIA, V60, DOI 10.1016/j.dendro.2020.125685
   Wei YY, 2022, INT J DIGIT EARTH, V15, P1463, DOI 10.1080/17538947.2022.2116118
   Wu DH, 2014, REMOTE SENS-BASEL, V6, P4217, DOI 10.3390/rs6054217
   Xiang MS, 2022, ALEX ENG J, V61, P8691, DOI 10.1016/j.aej.2022.02.001
   Xie BN, 2016, REG ENVIRON CHANGE, V16, P1583, DOI 10.1007/s10113-015-0881-3
   Xu ZX, 2024, FRONT PLANT SCI, V15, DOI 10.3389/fpls.2024.1363690
   Yang G, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-18030-5
   Yang J, 2021, EARTH SYST SCI DATA, V13, P3907, DOI 10.5194/essd-13-3907-2021
   Yang YT, 2023, NAT REV EARTH ENV, V4, P626, DOI 10.1038/s43017-023-00464-3
   Zhang Q, 2021, J METEOROL RES-PRC, V35, P113, DOI 10.1007/s13351-021-0105-3
   Zhang R, 2016, REMOTE SENS-BASEL, V8, DOI 10.3390/rs8050364
   Zhang W, 2021, J GEOPHYS RES-BIOGEO, V126, DOI 10.1029/2020JG005912
NR 74
TC 1
Z9 1
U1 81
U2 81
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD DEC 1
PY 2024
VL 954
AR 176271
DI 10.1016/j.scitotenv.2024.176271
EA SEP 2024
PG 16
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA G5Q0H
UT WOS:001317166900001
PM 39278503
DA 2025-01-10
ER

PT J
AU Wang, JJ
   Guo, J
   Wang, CX
   Pang, YM
AF Wang, Jiajin
   Guo, Jie
   Wang, Chunxue
   Pang, Yanmei
TI Impact of global warming on labor productivity in the Chengdu-Chongqing
   economic circle, China
SO ENVIRONMENTAL RESEARCH COMMUNICATIONS
LA English
DT Article
DE heat; labor productivity; CMIP6; Chengdu-Chongqing economic circle;
   climate change
ID CLIMATE-CHANGE; HEAT EXPOSURE; WAVES
AB In recent years, the Chengdu-Chongqing Economic Circle (CCEC) has experienced frequent heat events, significantly impacting labor productivity. The CCEC is an important economic growth pole in western China. Therefore, an in-depth study of the impact of heat stress on labor productivity holds great significance for climate change adaptation and enhancing economic efficiency. Based on the relationship between the wet-bulb globe temperature (WBGT) and labor productivity of different industries, the labor productivity loss caused by heat in the CCEC was estimated using the observation data of the meteorological station and the projection results of the BCC-CSM2-MR model from the Coupled Model Intercomparison Project Phase 6 (CMIP6). The results showed that the impact of heat on the labor productivity of different industries in the CCEC mainly occurs from June to August, with the largest impact on agriculture, followed by industry, and the smallest impact on service sectors. Losses from heat stress to labor productivity in agriculture, industry, and services showed a significant increasing trend from 1980 to 2020 but a decreasing trend in comprehensive labor productivity loss. From 2020-2100, labor productivity losses in different industries due to heat stress show an increasing and then decreasing trend in the low emissions scenario, productivity losses in the medium emissions scenario are characterized by an increasing and then sustained change, and labor productivity losses in the high emissions scenario show a sustained increasing trend from 2020. By the end of the 21st century, the increase in labor productivity losses across different industries under the high emission scenario is approximately 15%-23%, and the large value center shifts slightly to the west. In most areas, the losses of agricultural, industrial, service, and comprehensive labor productivity exceed 45%, 32%, 20%, and 24%, respectively.
C1 [Wang, Jiajin] Sichuan Prov Meteorol Observ, Chengdu 610072, Peoples R China.
   [Wang, Jiajin; Guo, Jie; Wang, Chunxue; Pang, Yanmei] Heavy Rain & Drought Flood Disasters Plateau & Bas, Chengdu 610072, Peoples R China.
   [Guo, Jie] Sichuan Meteorol Serv Ctr, Chengdu 610072, Peoples R China.
   [Wang, Chunxue; Pang, Yanmei] Sichuan Prov Climate Ctr, Chengdu, Peoples R China.
RP Wang, CX (corresponding author), Heavy Rain & Drought Flood Disasters Plateau & Bas, Chengdu 610072, Peoples R China.; Wang, CX (corresponding author), Sichuan Prov Climate Ctr, Chengdu, Peoples R China.
EM wangchunxue2009@163.com
FU Innovation Team Fund of Southwest Regional Meteorological Center, China
   Meteorological Administration [XNQYCXTD-202203]; Sichuan Science and
   Technology Program [2023YFS0376]
FX This research was jointly supported by the Innovation Team Fund of
   Southwest Regional Meteorological Center, China Meteorological
   Administration (XNQYCXTD-202203) and the Sichuan Science and Technology
   Program (2023YFS0376).
CR Bröde P, 2018, INT J BIOMETEOROL, V62, P331, DOI 10.1007/s00484-017-1346-9
   Chen K, 2015, SCI REP-UK, V5, DOI 10.1038/srep10816
   Dasgupta S, 2021, LANCET PLANET HEALTH, V5, pE455, DOI 10.1016/S2542-5196(21)00170-4
   Dunne JP, 2013, NAT CLIM CHANGE, V3, P563, DOI 10.1038/NCLIMATE1827
   Gong YM, 2021, IOP C SER EARTH ENV, V634, DOI 10.1088/1755-1315/634/1/012034
   Herbel I, 2018, THEOR APPL CLIMATOL, V133, P681, DOI 10.1007/s00704-017-2196-4
   [胡豪然 Hu Haoran], 2010, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V19, P832
   Huang Q H., 2023, J. Chongqing Univ.(Social Science Edition), V6, P17, DOI [10.11835/j.issn.1008-5831.jg.2023.11.003, DOI 10.11835/J.ISSN.1008-5831.JG.2023.11.003]
   姜彤, 2022, [气候变化研究进展, Progressus Inquisitiones de Mutatione Climatis], V18, P381
   Kjellstrom T, 2018, INT J BIOMETEOROL, V62, P291, DOI 10.1007/s00484-017-1407-0
   Kjellstrom T, 2009, GLOBAL HEALTH ACTION, V2, DOI [10.3402/gha.v2i0.1958, 10.3402/gha.v2i0.2047]
   Kjellstrom T, 2009, ARCH ENVIRON OCCUP H, V64, P217, DOI 10.1080/19338240903352776
   Knittel N, 2020, CLIMATIC CHANGE, V160, P251, DOI 10.1007/s10584-020-02661-1
   Lee SW, 2018, INT J BIOMETEOROL, V62, P2119, DOI 10.1007/s00484-018-1611-6
   [刘晓冉 LIU Xiao-ran], 2009, [高原气象, Plateau Meteorology], V28, P306
   Liu XC, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17041278
   Malchaire J, 2000, INT ARCH OCC ENV HEA, V73, P215, DOI 10.1007/s004200050420
   Parsons K., 2014, Human thermal environments: The effects of hot, moderate, and cold environments on human health, comfort, and performance, DOI [10.1201/b16750, DOI 10.1201/B16750]
   Prtner H-O., 2022, Climate Change
   Rao KK, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-73245-3
   Speizer S, 2022, GEOPHYS RES LETT, V49, DOI 10.1029/2021GL097261
   Stalhandske Z, 2022, NAT HAZARD EARTH SYS, V22, P2531, DOI 10.5194/nhess-22-2531-2022
   Standardization Administration, 2017, Industrial classification for national economic activities GB/T, V47542017
   Sun Z. X, 2022, J. Meteorol., V40, P764
   Suzuki-Parker A, 2016, INT J BIOMETEOROL, V60, P307, DOI 10.1007/s00484-015-1001-2
   Szewczyk W, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac24cf
   [王素艳 WANG Suyan], 2008, [中国农业气象, Chinese Journal of Agrometeorology], V29, P115
   Wei LX, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19116398
   Xia Y, 2018, J CLEAN PROD, V171, P811, DOI 10.1016/j.jclepro.2017.10.069
   Zander KK, 2015, NAT CLIM CHANGE, V5, P647, DOI [10.1038/NCLIMATE2623, 10.1038/nclimate2623]
   Zhang S Q., 2012, Plateau Mt Meteorol. Res, V32, P51, DOI [10.3969/j.issn.1674-2184.2012.01.008, DOI 10.3969/J.ISSN.1674-2184.2012.01.008]
   Zhang YQ, 2021, CLIMATIC CHANGE, V164, DOI 10.1007/s10584-021-03014-2
   Zhao MZ, 2021, CLIMATIC CHANGE, V167, DOI 10.1007/s10584-021-03160-7
   Zhao SX, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151813720
NR 34
TC 0
Z9 0
U1 5
U2 5
PU IOP Publishing Ltd
PI BRISTOL
PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
SN 2515-7620
J9 ENVIRON RES COMMUN
JI Environ. Res. Commun.
PD JUL 1
PY 2024
VL 6
IS 7
AR 075017
DI 10.1088/2515-7620/ad5ccd
PG 8
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA XU8O1
UT WOS:001264283600001
OA gold
DA 2025-01-10
ER

PT J
AU Hanly, K
   Mcdowell, G
AF Hanly, Katherine
   Mcdowell, Graham
TI The evolution of "riskscapes": 100 years of climate change and
   mountaineering activity in the Lake Louise area of the Canadian Rockies
SO CLIMATIC CHANGE
LA English
DT Article
DE Climate change; Mountains; Canada; Mountaineering; Vulnerability;
   Adaptation
ID MONT-BLANC MASSIF; NATURE-BASED TOURISM; GLACIER RECESSION; PERMAFROST
   DEGRADATION; BEHAVIORAL ADAPTATION; WESTERN CANADA; IMPACTS; RISK;
   INVOLVEMENT; ADVENTURE
AB Climate change is contributing to the rapid warming of mountain environments, resulting in glacial retreat, diminished snowpacks, and permafrost thaw. Such rapid changes have transformed the riskscape of mountaineering routes, altering climbing conditions and increasing objective hazards. In response, this study used a mixed methods approach that combines statistical climatological analysis with archival content analysis and semi-structured interviews with mountain guides to explore the relationship between climate change, route conditions, hazards, and adaptations in the Abbot Pass area of Banff National Park (Canada). Results revealed that long-term climatic shifts contributed to change in climbing conditions and objective hazards across all routes, creating a typology of climate-driven route evolution based on the original route characteristics. Mountaineers adapted to such change by employing spatial/activity and temporal substitutions to mitigate risks and exploit emergent opportunities. However, the use of such strategies was influenced by demographic (i.e., age, years of experience) and socio-cultural factors (i.e., place attachment, risk tolerance) and limited by hard limits to adaptation. Given the projected trajectory of climate change, our findings highlight the potential inevitability of mountaineers encountering such limits, resulting in forced transformations and significant loss and damages. Therefore, it is imperative to examine both the economic and non-economic consequences of these shifts and evaluate the ability of mountaineers and tourism providers to navigate a significantly transformed climate future in mountainous areas. While focused on a Canadian context, the findings and methodologies developed herein are relevant to other mountain geographies, where climate change is rapidly transforming environments frequented by mountaineers and represents a call to action for more research in field of climate change, adaptation, and mountaineering.
C1 [Hanly, Katherine; Mcdowell, Graham] Univ Calgary, Dept Geog, 2500 Univ Dr NW, Calgary, AB T2N 1N4, Canada.
C3 University of Calgary
RP Hanly, K (corresponding author), Univ Calgary, Dept Geog, 2500 Univ Dr NW, Calgary, AB T2N 1N4, Canada.
EM khanly@ucalgary.ca; graham.mcdowell1@ucalgary.ca
OI McDowell, Graham/0000-0003-2302-2598; Hanly,
   Katherine/0000-0003-3474-9514
FU Social Sciences and Humanities Research Council of Canada; Environment
   and Climate Change Canada
FX We thank the interviewees and the Association of Canadian Mountain
   Guides for sharing their valuable time and insights; the Environment and
   Climate Change Canada for their generous use of climatological data; and
   the Whyte Museum of the Canadian Rockies for sharing their considerable
   expertise, time, and resources.
CR Adler CE., 2022, CLIMATE CHANGE 2022
   Allen S., Assessment of Glacier and Permafrost Hazards in Mountain Regions - Technical Guidance Document, DOI DOI 10.13140/RG.2.2.26332.90245
   Beedie P, 2015, Mountaineering Tourism
   Behringer J., 2000, INTEGRATED ASSESSMEN, V1, P331, DOI [DOI 10.1023/A:1018940901744, 10.1023/a:1018940901744]
   Benn D.I., 2010, Glaciers and Glaciation, DOI [DOI 10.4324/9780203785010, 10.4324/9780203785010]
   Bevington AR, 2022, REMOTE SENS ENVIRON, V270, DOI 10.1016/j.rse.2021.112862
   Biskaborn BK, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-018-08240-4
   Bolch T, 2010, REMOTE SENS ENVIRON, V114, P127, DOI 10.1016/j.rse.2009.08.015
   Bondesan A, 2023, GEOMORPHOLOGY, V431, DOI 10.1016/j.geomorph.2023.108687
   Bonnaventure PP, 2011, CLIMATIC CHANGE, V105, P293, DOI 10.1007/s10584-010-9818-5
   Bricker KS, 2000, LEISURE SCI, V22, P233, DOI 10.1080/01490409950202285
   Carey M, 2017, ANN AM ASSOC GEOGR, V107, P350, DOI 10.1080/24694452.2016.1243039
   CORDELL HK, 1976, J LEISURE RES, V8, P160, DOI 10.1080/00222216.1976.11970273
   Dawson J, 2011, J TRAVEL TOUR MARK, V28, P388, DOI 10.1080/10548408.2011.571573
   De Urioste-Stone SM, 2016, J OUTDO RECREAT TOUR, V13, P57, DOI 10.1016/j.jort.2016.01.003
   Debarbieux B., 2021, Lespace Geogr Tome, V49, P354, DOI [10.3917/eg.494.0354, DOI 10.3917/EG.494.0354]
   DeBeer CM, 2021, HYDROL EARTH SYST SC, V25, P1849, DOI 10.5194/hess-25-1849-2021
   DeBeer CM, 2016, HYDROL EARTH SYST SC, V20, P1573, DOI 10.5194/hess-20-1573-2016
   Deline P., 2021, Snow and Ice-Related Hazards, Risks, and Disasters, P501, DOI DOI 10.1016/B978-0-12-817129-5.00015-9
   Ditton R.B., 2004, Human Dimensions of Wildlife, V9, P87, DOI DOI 10.1080/10871200490441748
   Draebing D, 2020, PREPRINT, DOI [10.5194/esurf-2020-69, DOI 10.5194/ESURF-2020-69]
   Draebing D, 2022, COMMUN EARTH ENVIRON, V3, DOI 10.1038/s43247-022-00348-2
   Draebing D, 2019, GEOPHYS RES LETT, V46, P6516, DOI 10.1029/2019GL081981
   Driver G, 2017, Wilderness magazine
   Duvillard PA, 2021, COLD REG SCI TECHNOL, V189, DOI 10.1016/j.coldregions.2021.103311
   Duvillard PA, 2019, REG ENVIRON CHANGE, V19, P1281, DOI 10.1007/s10113-019-01465-z
   Furunes T, 2012, SCAND J HOSP TOUR, V12, P324, DOI 10.1080/15022250.2012.748507
   Gadedjisso-tossou A., 2021, Sci, V3, P17, DOI [10.3390/sci3010017, DOI 10.3390/SCI3010017]
   Gentner B., 2008, Global challenges in recreatonal fisheries, P150, DOI DOI 10.1002/9780470697597.CH8
   Gruber S, 2007, J GEOPHYS RES-EARTH, V112, DOI 10.1029/2006JF000547
   Haeberli W., 2015, Snow and Ice-Related Hazards, Risks, and Disasters, P1, DOI [10.1016/B978-0-12-394849-6.00001-9, DOI 10.1016/B978-0-12-394849-6.00001-9]
   Haeberli W, 2017, GEOMORPHOLOGY, V293, P405, DOI 10.1016/j.geomorph.2016.02.009
   Hammond T., 2015, MOUNTAINEER, V109, P16
   Hanly Katherine, 2023, Tourism and Hospitality, V4, P539, DOI 10.3390/tourhosp4040033
   Hartmeyer I, 2020, EARTH SURF DYNAM, V8, P729, DOI 10.5194/esurf-8-729-2020
   HENDEE JC, 1974, J LEISURE RES, V6, P157, DOI 10.1080/00222216.1974.11970178
   Hik D, 2022, Alpine Club of Canada, P27
   Hock R., 2019, IPCC Special Report on the Ocean and Cryosphere in a changing climate, P131, DOI [DOI 10.1017/9781009157964.004, 10.1017/ 9781009157964.004]
   Hock R., 2021, Climate change, observed impacts on planet earth, P157, DOI [DOI 10.1016/B978-0-12-821575-3.00009-8, 10.1016/B978-0-12-821575-3.00009-8]
   Huggel C, 2019, REG ENVIRON CHANGE, V19, P1387, DOI 10.1007/s10113-018-1385-8
   Iso-Ahola S. E., 1986, Leisure Sciences, V8, P367, DOI 10.1080/01490408609513081
   Iwasaki Y, 1998, J LEISURE RES, V30, P256, DOI 10.1080/00222216.1998.11949829
   Johnson E, 2020, FRONT EARTH SC-SWITZ, V8, DOI 10.3389/feart.2020.00129
   Jones D, 2018, Rockies west: the climber's guide to the rocky mountains of canada, V3rd
   Kaenzig R, 2016, TOURISM GEOGR, V18, P111, DOI 10.1080/14616688.2016.1144642
   Konig U., 1998, TOURISM WARMER WORLD
   Krautblatter M, 2013, EARTH SURF PROC LAND, V38, P876, DOI 10.1002/esp.3374
   Magnin F, 2017, CRYOSPHERE, V11, P1813, DOI 10.5194/tc-11-1813-2017
   McColl ST, 2019, GEOGR PHYS ENVIRON, P119, DOI 10.1007/978-3-319-94184-4_8
   McColl ST, 2013, EARTH SURF PROC LAND, V38, P1102, DOI 10.1002/esp.3346
   McCreary A, 2019, J OUTDOOR REC TOUR, V26, P23, DOI 10.1016/j.jort.2019.03.005
   McDowell G, 2021, MT RES DEV, V41, pA1, DOI 10.1659/MRD-JOURNAL-D-21-00033.1
   McDowell G, 2019, GLOBAL ENVIRON CHANG, V54, P19, DOI 10.1016/j.gloenvcha.2018.10.012
   Menounos B, 2021, Cryospheric response to the June, 2021 Heat Dome, pC54C
   Miller MC, 2020, TOURISM GEOGR, V22, P354, DOI 10.1080/14616688.2019.1654538
   Mourey J, 2021, PREPRINT, DOI [10.5194/nhess-2021-128, DOI 10.5194/NHESS-2021-128]
   Mourey J, 2022, GEOGR ANN A, V104, P109, DOI 10.1080/04353676.2022.2064651
   Mourey J, 2022, NAT HAZARD EARTH SYS, V22, P445, DOI 10.5194/nhess-22-445-2022
   Mourey J, 2020, J OUTDOOR REC TOUR, V29, DOI 10.1016/j.jort.2020.100278
   Mourey J, 2019, NORSK GEOGR TIDSSKR, V73, P215, DOI 10.1080/00291951.2019.1689163
   Mourey J, 2019, ARCT ANTARCT ALP RES, V51, P176, DOI 10.1080/15230430.2019.1612216
   Mullick MRA, 2019, GLOBAL PLANET CHANGE, V172, P104, DOI 10.1016/j.gloplacha.2018.10.001
   Nielsen A. C., 2004, Introduction to veterinary epidemiology, P187
   Oh CO, 2011, TOURISM ECON, V17, P1311, DOI 10.5367/te.2011.0093
   OLeary J.T., 1974, Water and community development: social and economic perspectives, P195
   Parks Canada Agency G. of C., 2022, About-Abbot pass refuge cabin national historic site-about
   Petley D.N., 2017, The Landslide Blog
   Pomfret G, 2006, TOURISM MANAGE, V27, P113, DOI 10.1016/j.tourman.2004.08.003
   Pröbstl-Haider U, 2021, J OUTDOOR REC TOUR, V34, DOI 10.1016/j.jort.2020.100344
   Pröbstl-Haider U, 2016, J OUTDOOR REC TOUR, V13, P66, DOI 10.1016/j.jort.2016.02.002
   Propst DB, 1998, LEISURE SCI, V20, P319, DOI 10.1080/01490409809512289
   Purdie H, 2020, J OUTDOOR REC TOUR, V29, DOI 10.1016/j.jort.2019.100235
   Purdie H, 2018, MT RES DEV, V38, P364, DOI 10.1659/MRD-JOURNAL-D-18-00042.1
   Purdie H, 2015, NEW ZEAL GEOGR, V71, P189, DOI 10.1111/nzg.12091
   Purdie H, 2013, MT RES DEV, V33, P463, DOI 10.1659/MRD-JOURNAL-D-12-00073.1
   Ravanel, 2017, J ALP RES, P105, DOI [https://doi.org/10.4000/rga.3780, DOI 10.4000/RGA.3790, 10.4000/rga.3790]
   Ravanel L, 2017, SCI TOTAL ENVIRON, V609, P132, DOI 10.1016/j.scitotenv.2017.07.055
   Ravanel L, 2011, HOLOCENE, V21, P357, DOI 10.1177/0959683610374887
   Reid R., 2017, Leisure/Loisir, V41, P185, DOI 10.1080/14927713.2017.1353435
   Reimer R, 2019, Diversity, inclusion, and mental health in the avalanche and guiding industry in Canada, P1
   Ritter F, 2012, MT RES DEV, V32, P4, DOI 10.1659/MRD-JOURNAL-D-11-00036.1
   Rushton B, 2023, CURR ISSUES TOUR, V26, P3903, DOI 10.1080/13683500.2023.2185506
   Rutty M, 2015, J OUTDO RECREAT TOUR, V11, P13, DOI 10.1016/j.jort.2015.07.002
   Salim E, 2023, J OUTDOOR REC TOUR, V44, DOI 10.1016/j.jort.2023.100662
   Salim E, 2021, REG ENVIRON CHANGE, V21, DOI 10.1007/s10113-021-01849-0
   Salim E, 2021, SCAND J HOSP TOUR, V21, P229, DOI 10.1080/15022250.2021.1879670
   Salim E, 2019, REV GEOGR ALP, V107, DOI 10.4000/rga.5865
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   SHELBY B, 1991, LEISURE SCI, V13, P21, DOI 10.1080/01490409109513122
   Stephen DL, 2021, Edward Feuz Jr: a story of enchantment, V1st
   Tabari H, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-70816-2
   Tabari H, 2011, GLOBAL PLANET CHANGE, V79, P1, DOI 10.1016/j.gloplacha.2011.07.008
   Temme AJAM, 2015, GEOGR ANN A, V97, P793, DOI 10.1111/geoa.12116
   The Canadian Mountain Assessment, 2023, Walking together to enhance understanding of mountains in Canada
   Voorhis J, 2023, FRONT HUM DYNAM, V5, DOI 10.3389/fhumd.2023.1097414
   Watson C.S., 2018, GEOL TODAY, V34, P18, DOI DOI 10.1111/gto.12215
NR 96
TC 0
Z9 0
U1 6
U2 7
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD MAR
PY 2024
VL 177
IS 3
AR 49
DI 10.1007/s10584-024-03698-2
PG 24
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA JL0M5
UT WOS:001173204300004
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Debnath, J
   Sahariah, D
   Nath, N
   Saikia, A
   Lahon, D
   Islam, MN
   Hashimoto, S
   Meraj, G
   Kumar, P
   Singh, SK
   Kanga, S
   Chand, K
AF Debnath, Jatan
   Sahariah, Dhrubojyoti
   Nath, Nityaranjan
   Saikia, Anup
   Lahon, Durlov
   Islam, Md. Nazrul
   Hashimoto, Shizuka
   Meraj, Gowhar
   Kumar, Pankaj
   Singh, Suraj Kumar
   Kanga, Shruti
   Chand, Kesar
TI Modelling on assessment of flood risk susceptibility at the Jia Bharali
   River basin in Eastern Himalayas by integrating multicollinearity tests
   and geospatial techniques
SO MODELING EARTH SYSTEMS AND ENVIRONMENT
LA English
DT Article
DE Frequency ratio; Fuzzy logic; Flood Susceptibility Index; Geospatial;
   MCDM; River basin
ID GROUNDWATER POTENTIAL ZONES; FREQUENCY RATIO; LOGISTIC-REGRESSION;
   SPATIAL PREDICTION; AHP APPROACH; DECISION; GIS; ACCURACY; DISTRICT
AB Climate change and anthropogenic factors have exacerbated flood risks in many regions across the globe, including the Himalayan foothill region in India. The Jia Bharali River basin, situated in this vulnerable area, frequently experiences high-magnitude floods, causing significant damage to the environment and local communities. Developing accurate and reliable flood susceptibility models is crucial for effective flood prevention, management, and adaptation strategies. In this study, we aimed to generate a comprehensive flood susceptibility zone model for the Jia Bharali catchment by integrating statistical methods with expert knowledge-based mathematical models. We applied four distinct models, including the Frequency Ratio model, Fuzzy Logic (FL) model, Multi-criteria Decision Making based Analytical Hierarchy Process model, and Fuzzy Analytical Hierarchy Process model, to evaluate the flood susceptibility of the basin. The results revealed that approximately one-third of the Jia Bharali basin area fell within moderate to very high flood-prone zones. In contrast, over 50% of the area was classified as low to very low flood-prone zones. The applied models demonstrated strong performance, with ROC-AUC scores exceeding 70% and MAE, MSE, and RMSE scores below 30%. FL and AHP were recommended for application among the models in areas with similar physiographic characteristics due to their exceptional performance and the training datasets. This study offers crucial insights for policymakers, regional administrative authorities, environmentalists, and engineers working in the Himalayan foothill region. By providing a robust flood susceptibility model, the research enhances flood prevention efforts and management, thereby serving as a vital climate change adaptation strategy for the Jia Bharali River basin and similar regions. The findings also have significant implications for disaster risk reduction and sustainable development in vulnerable areas, contributing to the global efforts towards achieving the United Nations' Sustainable Development Goals.
C1 [Debnath, Jatan; Sahariah, Dhrubojyoti; Nath, Nityaranjan; Saikia, Anup; Lahon, Durlov] Gauhati Univ, Dept Geog, Jalukbari, Assam, India.
   [Islam, Md. Nazrul] Jahangirnagar Univ, Dept Geog & Environm, Dhaka 1342, Bangladesh.
   [Hashimoto, Shizuka; Meraj, Gowhar] Univ Tokyo, Grad Sch Agr & Life Sci, Dept Ecosyst Studies, Tokyo 1130032, Japan.
   [Kumar, Pankaj] Inst Global Environm Strategies, Hayama 2400115, Japan.
   [Singh, Suraj Kumar] Suresh Gyan Vihar Univ, Ctr Climate Change & Water Res, Jaipur 302017, India.
   [Kanga, Shruti] Cent Univ, Sch Environm & Earth Sci, Dept Geog, Bathinda 151401, Punjab, India.
   [Chand, Kesar] GB Pant Natl Inst Himalayan Environm NIHE, Himachal Reg Ctr Himachal Pradesh, Kulu, India.
C3 Gauhati University; Jahangirnagar University; University of Tokyo;
   Central University of Punjab; G.B. Pant National Institute of Himalayan
   Environment & Sustainable Development (GBPNIHESD)
RP Meraj, G (corresponding author), Univ Tokyo, Grad Sch Agr & Life Sci, Dept Ecosyst Studies, Tokyo 1130032, Japan.
EM jatan@gauhati.ac.in; dhrubajyoti@gauhati.ac.in; nitya@gauhati.ac.in;
   anup12@gauhati.ac.in; durlovlahon@gauhati.ac.in; nazrul_geo@juniv.edu;
   ahash@g.ecc.u-tokyo.ac.jp; gowharmeraj@g.ecc.u-tokyo.ac.jp;
   kumar@iges.or.jp; suraj.kumar@mygyanvihar.com; shruti.kanga@cup.edu.in;
   kesar.chand@gbpihed.nic.in
RI kumar, Pankaj/HPF-8395-2023; Debnath, Jatan/KDO-9993-2024; Saikia,
   Anup/S-7698-2019; Chand, Kesar/GNH-3200-2022; Islam, Prof. Dr. Md.
   Nazrul/AAP-5332-2020; Nath, Nityaranjan/GXG-7964-2022; Meraj,
   Gowhar/G-5544-2015; KANGA, SHRUTI/HDO-7988-2022; Singh, Suraj
   Kumar/HNB-3636-2023
OI Debnath, Jatan/0000-0003-1571-9475; Kumar, Pankaj/0000-0001-7099-7297;
   Meraj, Gowhar/0000-0003-2913-9199; KANGA, SHRUTI/0000-0003-0275-5493;
   Singh, Suraj Kumar/0000-0002-9420-2804
FU The University of Tokyo; University Grants Commission, New Delhi
FX The authors extend their gratitude to the two anonymous reviewers for
   their critical comments, during the review process that significantly
   enhanced the quality and rigor of this manuscript. Further, the first
   author is grateful to the University Grants Commission, New Delhi for
   the awarding him with the Dr. D.S. Kothari Post-Doctoral Fellowship
   (UGC-DSKPDF).
CR Abu El-Magd Sherif Ahmed, 2022, Arabian Journal of Geosciences, V15, DOI 10.1007/s12517-022-09531-3
   Adiat KAN, 2012, J HYDROL, V440, P75, DOI 10.1016/j.jhydrol.2012.03.028
   Aditian A, 2018, GEOMORPHOLOGY, V318, P101, DOI 10.1016/j.geomorph.2018.06.006
   Ahmed IA, 2022, GEOCARTO INT, V37, P12238, DOI 10.1080/10106049.2022.2066200
   Ahmed N, 2022, GEOCARTO INT, V37, P8394, DOI 10.1080/10106049.2021.2002422
   Akay H, 2021, SOFT COMPUT, V25, P9325, DOI 10.1007/s00500-021-05903-1
   Al-Juaidi AEM, 2018, ARAB J GEOSCI, V11, DOI 10.1007/s12517-018-4095-0
   Altaf F., 2013, Geography Journal, P1, DOI DOI 10.1155/2013/178021
   Altaf S, 2014, ENVIRON MONIT ASSESS, V186, P8391, DOI 10.1007/s10661-014-4012-2
   Arora A, 2021, GEOCARTO INT, V36, P2085, DOI 10.1080/10106049.2019.1687594
   Ayhan MB, 2013, GEAR MOTOR CO, V4, P11, DOI [10.5121/ijmvsc.2013.4302, DOI 10.5121/IJMVSC.2013.4302]
   Balogun AL, 2022, GEOCARTO INT, V37, P12989, DOI 10.1080/10106049.2022.2076910
   Bera A, 2022, WATER-SUI, V14, DOI 10.3390/w14050823
   Beven K. J., 1979, HYDROL SCI B, V24, P43, DOI DOI 10.1080/02626667909491834
   Pham BT, 2021, GEOSCI FRONT, V12, DOI 10.1016/j.gsf.2020.11.003
   BUCKLEY JJ, 1985, FUZZY SET SYST, V17, P233, DOI 10.1016/0165-0114(85)90090-9
   Caruso GD, 2017, J DEV ECON, V127, P209, DOI 10.1016/j.jdeveco.2017.03.007
   Central Water Commission (CWC), 2010, WAT REL STAT WAT RES, P198
   Chakrabortty R, 2023, WATER-SUI, V15, DOI 10.3390/w15030558
   Chapi K, 2017, ENVIRON MODELL SOFTW, V95, P229, DOI 10.1016/j.envsoft.2017.06.012
   Chau KW, 2005, J HYDROL ENG, V10, P485, DOI 10.1061/(ASCE)1084-0699(2005)10:6(485)
   Chen VYC, 2011, APPL SOFT COMPUT, V11, P265, DOI 10.1016/j.asoc.2009.11.017
   Chen YG, 2023, FRONT EARTH SC-SWITZ, V11, DOI 10.3389/feart.2023.1117004
   Chou SW, 2008, DECIS SUPPORT SYST, V46, P149, DOI 10.1016/j.dss.2008.06.003
   Choudhury S., 2022, Spatial modelling of flood risk and flood hazards: societal implications, P119, DOI [10.1007/978-3-030-94544-28, DOI 10.1007/978-3-030-94544-28, 10.1007/978-3-030-94544-2_8, DOI 10.1007/978-3-030-94544-2_8]
   Choudhury U, 2023, EARTH-BASEL, V4, P503, DOI 10.3390/earth4030026
   Cui H, 2023, KSCE J CIV ENG, V27, P431, DOI 10.1007/s12205-022-0559-6
   Das S, 2021, GEOSCI FRONT, V12, DOI 10.1016/j.gsf.2021.101206
   Das S, 2020, REMOTE SENS APPL, V20, DOI 10.1016/j.rsase.2020.100379
   Debnath J, 2023, LAND-BASEL, V12, DOI 10.3390/land12030703
   Debnath J, 2023, GEOSCI FRONT, V14, DOI 10.1016/j.gsf.2023.101557
   Debnath J, 2023, ENVIRON SCI POLLUT R, V30, P106997, DOI 10.1007/s11356-022-24248-2
   Duque EL., 2019, CTI S 2018, V2018, P97
   Dutta M., 2023, HydroResearch, V6, P108, DOI [10.1016/j.hydres.2023.02.004, DOI 10.1016/J.HYDRES.2023.02.004]
   Dutta P., 2023, River, V2, P384
   Emanuelsson MAE, 2014, J FLOOD RISK MANAG, V7, P31, DOI 10.1111/jfr3.12028
   Fayaz M, 2022, LAND-BASEL, V11, DOI 10.3390/land11060884
   Ghosh A, 2022, J INDIAN SOC REMOTE, V50, P1725, DOI 10.1007/s12524-022-01560-5
   Ghosh A, 2021, ECOL INFORM, V63, DOI 10.1016/j.ecoinf.2021.101318
   Ghosh A, 2021, REG STUD MAR SCI, V42, DOI 10.1016/j.rsma.2021.101624
   Ghosh B, 2023, ENVIRON EARTH SCI, V82, DOI 10.1007/s12665-022-10696-z
   Greenbaum D, 1989, P GROUNDWATER EXPLOR
   Gül GO, 2013, NAT HAZARDS, V69, P403, DOI 10.1007/s11069-013-0717-8
   Gupta L, 2022, GEOCARTO INT, V37, P11867, DOI 10.1080/10106049.2022.2060329
   Hasanuzzaman M., 2022, Spatial modelling of Flood Risk and Flood hazards. GIScience and Geo-environmental modelling, DOI [10.1007/978-3-030-94544-2_6, DOI 10.1007/978-3-030-94544-2_6, 10.1007/978-3-030-94544-26, DOI 10.1007/978-3-030-94544-26]
   Hazarika N, 2018, J FLOOD RISK MANAG, V11, pS700, DOI 10.1111/jfr3.12237
   Islam S, 2022, MODEL EARTH SYST ENV, V8, P3005, DOI 10.1007/s40808-021-01283-5
   Jahangir MH, 2019, WEATHER CLIM EXTREME, V25, DOI 10.1016/j.wace.2019.100215
   Khosravi K, 2019, J HYDROL, V573, P311, DOI 10.1016/j.jhydrol.2019.03.073
   Khosravi K, 2018, SCI TOTAL ENVIRON, V627, P744, DOI 10.1016/j.scitotenv.2018.01.266
   Kotecha M.J., 2023, River Conservation and Water Resource Management, P315
   Kumar PKD, 2007, INT J REMOTE SENS, V28, P5583, DOI 10.1080/01431160601086050
   Kumar S, 2016, INT J DIGIT EARTH, V9, P1168, DOI 10.1080/17538947.2016.1197328
   Lahon D, 2023, ISPRS INT J GEO-INF, V12, DOI 10.3390/ijgi12040165
   Lahon D, 2023, PEERJ, V11, DOI 10.7717/peerj.14811
   Lawal Billa Lawal Billa, 2006, Disaster Prevention & Management, V15, P233, DOI 10.1108/09653560610659775
   Lee MJ, 2012, INT GEOSCI REMOTE SE, P895, DOI 10.1109/IGARSS.2012.6351414
   Li KZ, 2012, NAT HAZARDS, V63, P737, DOI 10.1007/s11069-012-0180-y
   Liu J, 2022, GEOCARTO INT, V37, P9817, DOI 10.1080/10106049.2022.2025918
   Mehravar S, 2023, J HYDROL, V617, DOI 10.1016/j.jhydrol.2023.129100
   Meraj G., 2013, Impacts of the Geo-environmental setting on the flood vulnerability at watershed scale in the Jhelum basin
   Meraj G, 2022, MODEL EARTH SYST ENV, V8, P3859, DOI 10.1007/s40808-021-01333-y
   Meraj G, 2022, MODEL EARTH SYST ENV, V8, P15, DOI 10.1007/s40808-021-01131-6
   Meraj G, 2018, GEOCARTO INT, V33, P1114, DOI 10.1080/10106049.2017.1333536
   Meraj G, 2015, NAT HAZARDS, V77, P153, DOI 10.1007/s11069-015-1605-1
   Meyer Volker, 2009, Integrated Environmental Assessment and Management, V5, P17, DOI 10.1897/IEAM_2008-031.1
   Mitra R, 2023, ENVIRON SCI POLLUT R, V30, P16036, DOI 10.1007/s11356-022-23168-5
   Mitra R, 2022, GEOMAT NAT HAZ RISK, V13, P2183, DOI 10.1080/19475705.2022.2112094
   Mojaddadi H, 2017, GEOMAT NAT HAZ RISK, V8, P1080, DOI 10.1080/19475705.2017.1294113
   MOORE ID, 1991, HYDROL PROCESS, V5, P3, DOI 10.1002/hyp.3360050103
   Mousavi SM, 2022, J HYDROL, V612, DOI 10.1016/j.jhydrol.2022.128072
   Nath N, 2023, LAND-BASEL, V12, DOI 10.3390/land12010151
   Olsen JR, 2000, J WATER RES PL-ASCE, V126, P167, DOI 10.1061/(ASCE)0733-9496(2000)126:3(167)
   Pan WY, 2023, LAND-BASEL, V12, DOI 10.3390/land12010112
   Pareta K., 2021, J ENV PROTECT SUSTAI, V7, P15
   Pradhan B, 2010, ENVIRON EARTH SCI, V60, P1037, DOI 10.1007/s12665-009-0245-8
   Rahman M, 2019, EARTH SYST ENVIRON, V3, P585, DOI 10.1007/s41748-019-00123-y
   Rahmati O, 2016, GEOCARTO INT, V31, P42, DOI 10.1080/10106049.2015.1041559
   Ramesh V, 2022, GEOCARTO INT, V37, P581, DOI 10.1080/10106049.2020.1730448
   Rani A, 2023, EARTH-BASEL, V4, P728, DOI 10.3390/earth4030039
   Rather MA, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14071538
   Reager JT, 2014, NAT GEOSCI, V7, P589, DOI [10.1038/NGEO2203, 10.1038/ngeo2203]
   Riley S. J., 1999, INTERMOUNT J SCI, V5, P23, DOI DOI 10.1016/j.geomorph.2010.11.003
   SAATY RW, 1987, MATH MODELLING, V9, P161, DOI 10.1016/0270-0255(87)90473-8
   Saaty T., 1980, The Analytical Hierarchy Process
   Saaty T.L., 1988, MATH MODELS DECISION, P109, DOI [DOI 10.1007/978-3-642-83555-1_5, 10.1007/978-3-642-83555-1]
   SAATY TL, 1990, EUR J OPER RES, V48, P9, DOI 10.1016/0377-2217(90)90057-I
   SAATY TL, 1977, J MATH PSYCHOL, V15, P234, DOI 10.1016/0022-2496(77)90033-5
   Sahana M, 2019, ENVIRON EARTH SCI, V78, DOI 10.1007/s12665-019-8285-1
   Saikh NI., 2023, E INDIA NAT HAZARD R, V3, P420, DOI [10.1016/j.nhres.2023.05.004, DOI 10.1016/J.NHRES.2023.05.004]
   Sajan B, 2022, AGRONOMY-BASEL, V12, DOI 10.3390/agronomy12112772
   Salvati A, 2023, J FLOOD RISK MANAG, V16, DOI 10.1111/jfr3.12920
   Saravanan S, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101503
   Sarkar D, 2020, APPL WATER SCI, V10, DOI 10.1007/s13201-019-1102-x
   Shahabi H, 2013, ARAB J GEOSCI, V6, P3885, DOI 10.1007/s12517-012-0650-2
   Shahabi H, 2021, GEOSCI FRONT, V12, DOI 10.1016/j.gsf.2020.10.007
   Sharma M, 2023, CONSERVATION-BASEL, V3, P444, DOI 10.3390/conservation3030030
   Sharma SK, 2018, ISPRS INT J GEO-INF, V7, DOI 10.3390/ijgi7020051
   Singh S, 2022, FORESTS, V13, DOI 10.3390/f13010004
   Solaimani K, 2023, WATER RESOUR MANAG, V37, P403, DOI 10.1007/s11269-022-03380-1
   Souissi D, 2020, GEOCARTO INT, V35, P991, DOI 10.1080/10106049.2019.1566405
   Sud A, 2023, HYDROLOGY-BASEL, V10, DOI 10.3390/hydrology10030065
   Sugianto S, 2022, LAND-BASEL, V11, DOI 10.3390/land11081271
   SWETS JA, 1988, SCIENCE, V240, P1285, DOI 10.1126/science.3287615
   Tehrany MS, 2017, GEOMAT NAT HAZ RISK, V8, P1538, DOI 10.1080/19475705.2017.1362038
   Tella A, 2020, NAT HAZARDS, V104, P2277, DOI 10.1007/s11069-020-04272-6
   Termeh SVR, 2018, SCI TOTAL ENVIRON, V615, P438, DOI 10.1016/j.scitotenv.2017.09.262
   Thieken AH, 2005, WATER RESOUR RES, V41, DOI 10.1029/2005WR004177
   Tomar P, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132212850
   Tripathi AK, 2022, GEOJOURNAL, V87, P3507, DOI 10.1007/s10708-021-10445-y
   Tripathi G., 2023, Climate Change Adaptation, Risk Management and Sustainable Practices in the Himalaya, P135
   Ullah K, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0229153
   Vilasan RT, 2022, NAT HAZARDS, V112, P1767, DOI 10.1007/s11069-022-05248-4
   Wang Y, 2021, J ENVIRON MANAGE, V289, DOI 10.1016/j.jenvman.2021.112449
   Wang Y, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11010062
   Waqas H, 2021, WATER-SUI, V13, DOI 10.3390/w13121650
   World Health Organization WHO, 2003, World disasters report (Chapter 8): disaster data: key trends and statistics
   Yang XL, 2013, NAT HAZARDS, V68, P657, DOI 10.1007/s11069-013-0642-x
   Yazdi J, 2012, WATER RESOUR MANAG, V26, P4569, DOI 10.1007/s11269-012-0167-1
   ZADEH LA, 1965, INFORM CONTROL, V8, P338, DOI 10.1016/S0019-9958(65)90241-X
   Zadeh SM, 2020, J HYDROL-REG STUD, V28, DOI 10.1016/j.ejrh.2020.100673
   Zaharia L, 2017, FRONT EARTH SCI-PRC, V11, P229, DOI 10.1007/s11707-017-0636-1
NR 122
TC 10
Z9 10
U1 0
U2 2
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 2363-6203
EI 2363-6211
J9 MODEL EARTH SYST ENV
JI Model. Earth Syst. Environ.
PD APR
PY 2024
VL 10
IS 2
BP 2393
EP 2419
DI 10.1007/s40808-023-01912-1
EA DEC 2023
PG 27
WC Environmental Sciences
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA LU6Y6
UT WOS:001125992500002
OA hybrid
DA 2025-01-10
ER

PT J
AU Terrado, M
   Bojovic, D
   Octenjak, S
   Christel, I
   St Clair, AL
AF Terrado, Marta
   Bojovic, Dragana
   Octenjak, Sara
   Christel, Isadora
   St Clair, Asun Lera
TI Good practice for knowledge co-development through climate related case
   studies
SO CLIMATE RISK MANAGEMENT
LA English
DT Article
DE Climate services; Coproduction; Arctic; Transdisciplinarity; Climate
   change adaptation; Case studies
ID COPRODUCTION; SCIENCE; ATTRIBUTION; COMMUNICATE
AB Case studies have been an extensively used methodology in various research fields. Despite receiving some criticism due to their lack of generalization, case studies are particularly suitable for capturing the complexity of the contexts in which climate services operate, contributing to make climate information actionable. However, little attention has been placed on the key elements that case studies should consider and the value that these cases acquire from bringing together different actors and stimulating interdisciplinary and transdisciplinary collaborations. In this study, we describe the coproduction process undergone for the co-development of case studies in the context of an Arctic research project. In the project, case studies are understood as a way to co-examine with stakeholders past weather and climate events of interest, and describe, analyze and explain these events in collaboration with climate scientists to identify adaptation opportunities. Based on the experience gained, we identified eight principal elements that case studies should cover for successfully channeling scientific results to non-expert audiences. These elements are: (i) the selection of the event by stakeholders, (ii) description of physical processes and underlying causes of the event, (iii) understanding of the event's socio-economic impacts, (iv) exploration of the possibility to predict such events, (v) added value of scientific knowledge, (vi) role that climate change has in the occurrence of the event, (vii) identification of research gaps, and (viii) exploration of storylines or pictures of the future. Addressing each of these elements required various levels of involvement of the different actors in the transdisciplinary team. Our experience can provide useful guidance to other climate services initiatives aiming to co-produce knowledge with stakeholders as well as make scientific results more accessible to different audiences while benefiting from the value that emerges from well-designed case studies.
C1 [Terrado, Marta; Bojovic, Dragana; Octenjak, Sara; Christel, Isadora; St Clair, Asun Lera] Barcelona Supercomp Ctr BSC CNS, Placa Eusebi Guell 1-3, Barcelona 08034, Spain.
   [Christel, Isadora] Lobelia Earth, Carrer Marie Curie 8, Barcelona 08042, Spain.
   [St Clair, Asun Lera] Det Norske Veritas DNV, Veritasveien 1, N-1363 Hovik, Norway.
C3 Universitat Politecnica de Catalunya; Barcelona Supercomputer Center
   (BSC-CNS)
RP Terrado, M (corresponding author), Barcelona Supercomp Ctr BSC CNS, Placa Eusebi Guell 1-3, Barcelona 08034, Spain.
EM marta.terrado@bsc.es; dragana.bojovic@bsc.es; sara.octenjak@bsc.es;
   isadora.jimenez@gmail.com; asun.lerastclair@bsc.es
OI Terrado, Marta/0000-0002-3484-5007; Octenjak, Sara/0000-0003-4247-7379
FU European Union [727862, 869575]
FX The research leading to these results has received funding from the
   European Union's Horizon 2020 research and innovation programme under
   grant agreements 727862 (APPLICATE) and 869575 (Focus-AFRICA) .
CR Acosta Navarro J.C., 2016, B AM METEOROL SOC EX, V100, pS43, DOI [10.1175/BAMS-, DOI 10.1175/BAMS]
   Armitage D, 2011, GLOBAL ENVIRON CHANG, V21, P995, DOI 10.1016/j.gloenvcha.2011.04.006
   Baldissera Pacchetti M., 2022, EMS ANN M 2022 BONN, DOI [10.5194/ems2022-586, DOI 10.5194/EMS2022-586]
   Baulenas E., GLOB CHALL
   Baxter P, 2008, QUAL REP, V13, P544
   Bennett A, 2006, ANNU REV POLIT SCI, V9, P455, DOI 10.1146/annurev.polisci.8.082103.104918
   Blackport R, 2020, NAT CLIM CHANGE, V10, P1065, DOI 10.1038/s41558-020-00954-y
   Bojovic D., 2018, POLAR J, V8, P215, DOI [10.1080/2154896X.2018.1477426, DOI 10.1080/2154896X.2018.1477426]
   Bojovic D, 2021, GLOBAL ENVIRON CHANG, V68, DOI 10.1016/j.gloenvcha.2021.102271
   Ceglar A, 2021, NPJ CLIM ATMOS SCI, V4, DOI 10.1038/s41612-021-00198-3
   Christiansen H.H., 2016, REPORT 14 15 OCTOBER
   Cohen J, 2020, NAT CLIM CHANGE, V10, P20, DOI 10.1038/s41558-019-0662-y
   Cundill G, 2019, GLOB CHALL, V3, DOI 10.1002/gch2.201700132
   Dahlstrom MF, 2014, P NATL ACAD SCI USA, V111, P13614, DOI 10.1073/pnas.1320645111
   Daniels E, 2020, CLIM SERV, V19, DOI 10.1016/j.cliser.2020.100181
   EEA, 2018, CLIM ADAPT 10 CAS ST
   Ellis TM, 2022, GLOBAL CHANGE BIOL, V28, P1544, DOI 10.1111/gcb.16006
   ENTSO-E, 2017, MAN CRIT GRID SIT SU
   Ettinger J, 2021, WEATHER CLIM SOC, V13, P341, DOI 10.1175/WCAS-D-20-0155.1
   Falardeau M, 2019, SUSTAIN SCI, V14, P205, DOI 10.1007/s11625-018-0620-z
   Ferranti L, 2018, Q J ROY METEOR SOC, V144, P1788, DOI 10.1002/qj.3341
   Findlater K, 2021, NAT CLIM CHANGE, V11, P731, DOI 10.1038/s41558-021-01125-3
   Flyvbjerg B, 2006, QUAL INQ, V12, P219, DOI 10.1177/1077800405284363
   Ford JD, 2013, GLOBAL ENVIRON CHANG, V23, P1317, DOI 10.1016/j.gloenvcha.2013.06.001
   Ford JD, 2010, WIRES CLIM CHANGE, V1, P374, DOI 10.1002/wcc.48
   Gerring J, 2016, SOCIOL METHOD RES, V45, P392, DOI 10.1177/0049124116631692
   Golding N, 2019, CLIM RISK MANAG, V23, P43, DOI 10.1016/j.crm.2019.01.002
   Hadorn GH, 2006, ECOL ECON, V60, P119, DOI 10.1016/j.ecolecon.2005.12.002
   Hancock Dawson., 2006, Doing Case Study Research : A Practical Guide for Beginning Researchers
   Hansen BB, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/11/114021
   Hanssen-Bauer I., 2019, Climate in Svalbard 2100. A knowledge base for climate adaptation
   Huntington HP, 2007, CLIMATIC CHANGE, V82, P77, DOI 10.1007/s10584-006-9162-y
   Krauss W, 2020, CLIM RISK MANAG, V28, DOI 10.1016/j.crm.2020.100221
   Lemos MC, 2005, GLOBAL ENVIRON CHANG, V15, P57, DOI 10.1016/j.gloenvcha.2004.09.004
   Lledó L, 2018, J GEOPHYS RES-ATMOS, V123, P4837, DOI 10.1029/2017JD028019
   Manzanas R, 2020, CLIM DYNAM, V54, P2869, DOI 10.1007/s00382-020-05145-1
   Materia S, 2020, WEATHER FORECAST, V35, P237, DOI 10.1175/WAF-D-19-0086.1
   McBean E., 2006, Hydrology and Earth System Sciences Discussions, V3, DOI [DOI 10.5194/HESSD-3-3183-2006, 10.5194/hessd-3-3183-2006]
   McWhinney I.R., 2001, European Journal of General Practice, V7, P88, DOI [10.3109/13814780109080866, DOI 10.3109/13814780109080866]
   Meadow AM, 2015, WEATHER CLIM SOC, V7, P179, DOI 10.1175/WCAS-D-14-00050.1
   Mettiainen I., 2020, REG DISS SEM DEL 5 6, DOI [10.5281/zenodo.4294469, DOI 10.5281/ZENODO.4294469]
   National Academies of Sciences Engineering and Medicine, 2016, ATTR EXTR WEATH EV C, P187, DOI [10.17226/218582, DOI 10.17226/218582]
   Octenjak S., 2019, ZENODO, DOI [10.5281/zenodo.3567616, DOI 10.5281/ZENODO.3567616]
   Octenjak S., 2020, ZENODO, DOI [10.5281/zenodo.4600778, DOI 10.5281/ZENODO.4600778]
   Ogunbode CA, 2019, GLOBAL ENVIRON CHANG, V54, P31, DOI 10.1016/j.gloenvcha.2018.11.005
   Orlov A, 2020, NAT ENERGY, V5, P108, DOI 10.1038/s41560-020-0561-5
   Osaka S, 2020, GLOBAL ENVIRON CHANG, V62, DOI 10.1016/j.gloenvcha.2020.102070
   Payne M., 2019, CASE STUDY, DOI [10.5281/zenodo.3559478, DOI 10.5281/ZENODO.3559478]
   Peeters B, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/aaefb3
   Sabin Center for Climate Change Law, 2022, CLIM ATTR DAT
   Santos JA, 2020, AGR FOREST METEOROL, V291, DOI 10.1016/j.agrformet.2020.108095
   Schneider A., 2020, ASSESSMENT EARLY CAR, DOI [10.5281/zenodo.4906338, DOI 10.5281/ZENODO.4906338]
   Shepherd TG, 2018, CLIMATIC CHANGE, V151, P555, DOI 10.1007/s10584-018-2317-9
   Sillmann J, 2021, EARTHS FUTURE, V9, DOI 10.1029/2020EF001783
   Smith A.J.P., 2021, CRITICAL ISSUES CLIM, DOI [10.5281/zenodo.5596791, DOI 10.5281/ZENODO.5596791]
   Smith AJP, 2020, CRITICAL ISSUES CLIM, DOI DOI 10.5281/ZENODO.4570195
   Solomon J, 2006, NAT CLIN PRACT CARD, V3, P579, DOI 10.1038/ncpcardio0704
   Stake R. E., 1995, ART CASE STUDY RES
   Suckall N., 2020, VALUING CLIMATE SERV
   Terrado M., 2019, ZENODO, DOI [10.5281/zenodo.3560164, DOI 10.5281/ZENODO.3560164]
   Terrado M., ZENODO, DOI [10.5281/zenodo.3560148, DOI 10.5281/ZENODO.3560148]
   Terrado M, 2022, B AM METEOROL SOC, V103, pE828, DOI 10.1175/BAMS-D-21-0194.1
   Terrado M, 2019, B AM METEOROL SOC, V100, P1909, DOI 10.1175/BAMS-D-18-0214.1
   van den Hurk BJJM, 2023, CLIM RISK MANAG, V40, DOI 10.1016/j.crm.2023.100500
   Vaughan C, 2018, WEATHER CLIM SOC, V10, P373, DOI 10.1175/WCAS-D-17-0030.1
   Vigo I., CLIM SERV
   Vollstedt B, 2021, CLIM SERV, V22, DOI 10.1016/j.cliser.2021.100225
   Wallace J.M., 2012, EOS T AM GEOPHYS UN, V93, P120, DOI DOI 10.1029/2012EO110004
   Westerling AL, 2006, SCIENCE, V313, P940, DOI 10.1126/science.1128834
   Wilby RL, 2010, WEATHER, V65, P180, DOI 10.1002/wea.543
   Yin R.K., 2014, Case study research: Design and methods (applied social research methods) (p, P312
NR 71
TC 8
Z9 8
U1 0
U2 5
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0963
J9 CLIM RISK MANAG
JI CLIM. RISK MANAG.
PY 2023
VL 40
AR 100513
DI 10.1016/j.crm.2023.100513
EA APR 2023
PG 13
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA G4TA8
UT WOS:000989086000001
OA gold
DA 2025-01-10
ER

PT J
AU Jang, K
   Bayon, G
   Vogt, C
   Forwick, M
   Ahn, Y
   Kim, JH
   Nam, SI
AF Jang, Kwangchul
   Bayon, Germain
   Vogt, Christoph
   Forwick, Matthias
   Ahn, Youngkyu
   Kim, Jung-Hyun
   Nam, Seung-Il
TI Non-linear response of glacier melting to Holocene warming in Svalbard
   recorded by sedimentary iron (oxyhydr)oxides
SO EARTH AND PLANETARY SCIENCE LETTERS
LA English
DT Article
DE iron (oxyhydr)oxides; high Arctic environments; glacier retreat; tipping
   point; accelerated glacier melting; neodymium isotopes
ID SEA-LEVEL RISE; NORTHERN-HEMISPHERE; ICE SHEETS; GREENLAND; SPITSBERGEN;
   SUBSURFACE; TRANSPORT; KONGSFJORDEN; TEMPERATURES; DYNAMICS
AB The recent acceleration of ice-sheet loss with its direct impact on sea-level rise and coastal ecosystems is of major environmental and societal concern. However, the effect of atmospheric temperature increases on long-term glacier retreat remains poorly defined due to limited historical observations and uncertainties in numerical ice-sheet models, which challenges climate change adaptation planning. Here, we present a novel approach for investigating the time-transgressive response of Arctic glaciers since the last deglaciation, using glacially-derived Fe-(oxyhydr)oxide layers preserved in glacimarine sediments from a large fjord system in Svalbard. Glacial weathering releases large amounts of Fe, resulting in the deposition of Fe-(oxyhydr)oxide particulates in nearby marine sediments, which can serve as fossil indicators of past glacial melting events. Our results indicate that Svalbard glaciers retreated at a rate of 18 to 41 m/yr between 16.3 and 10.8 kyr BP, synchronously with the progressive rise in atmospheric and oceanic temperatures. From 10.8 kyr BP, glacier retreat markedly accelerated (up to similar to 116 m/yr) when regional atmospheric temperatures exceeded modern values. Coupled with field observations, this finding directly supports a non-linear response of glacial melting to summer air temperature increases. In addition to suggesting that ice-sheet loss and sea-level rise may further accelerate in the near future, this study paves the way for the use of sedimentary Fe-(oxyhydr)oxide layers in subarctic environments for reconstructing past glacial dynamics. (c) 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons .org /licenses /by /4 .0/).
C1 [Jang, Kwangchul; Ahn, Youngkyu; Kim, Jung-Hyun; Nam, Seung-Il] Korea Polar Res Inst, Div Glacial Environm Res, Incheon 21990, South Korea.
   [Bayon, Germain] Univ Brest, CNRS, Ifremer, Geoocean, F-29280 Plouzane, France.
   [Vogt, Christoph] Univ Bremen, Crystallog & Geomatenals, FB05 Geosci & MARUM, D-28359 Bremen, Germany.
   [Forwick, Matthias] UiT Arctic Univ Norway, Dept Geosci, N-9037 Tromso, Norway.
C3 Korea Polar Research Institute (KOPRI); Ifremer; Universite de Bretagne
   Occidentale; Centre National de la Recherche Scientifique (CNRS);
   University of Bremen; UiT The Arctic University of Tromso
RP Nam, SI (corresponding author), Korea Polar Res Inst, Div Glacial Environm Res, Incheon 21990, South Korea.
EM sinam@kopri.re.kr
RI Bayon, Germain/F-9754-2010
OI Ahn, Youngkyu/0000-0002-2257-1758
FU Basic Core Technology Development Program for the Oceans and the Polar
   Regions [NRF-2021M1A5A1075512, KOPRI-PN23013]; National Research
   Foundation of Korea from the Korean Government (MSIT; the Ministry of
   Science and ICT) [2017R1A6A3A01076729]; National Research Foundation of
   Korea Grant from the Korean Government (MSIT)
FX This study was supported mainly by the Basic Core Technology Development
   Program for the Oceans and the Polar Regions (NRF-2021M1A5A1075512)
   (KOPRI-PN23013) and the Basic Sci-ence Research Program
   (2017R1A6A3A01076729) from a National Research Foundation of Korea Grant
   from the Korean Government (MSIT; the Ministry of Science and ICT) . We
   would like to thank all the participants of the cruises on RV Helmer
   Hanssen for their sup-port of the core sampling, as well as D. Kim, K.
   Park, Y. Joe, Y. J. Joo, and Y. Son for laboratory assistance. We also
   thank the XRD lab crew of the Crystallography & Geomaterials group at
   GeosciencesBremen for keeping the machines always online, in particular
   J. Birkenstock, Th. Messner, R.X. Fischer and E.M. Schmidt, and
   ap-preciate L. Allaart (GEUS in Aarhus) kindly providing bathymetric
   dataset in Wijdefjorden.
CR Allaart L., 2020, BOREAS
   Bartels M, 2017, CLIM PAST, V13, P1717, DOI 10.5194/cp-13-1717-2017
   Blaauw M, 2011, BAYESIAN ANAL, V6, P457, DOI 10.1214/ba/1339616472
   Boers N, 2021, P NATL ACAD SCI USA, V118, DOI [10.1073/pnas.2024192118|1of7, 10.1073/pnas.2024192118]
   Bonnet S, 2010, MAR MICROPALEONTOL, V74, P59, DOI 10.1016/j.marmicro.2009.12.001
   Box JE, 2009, J CLIMATE, V22, P4029, DOI 10.1175/2009JCLI2816.1
   BOYLE EA, 1977, GEOCHIM COSMOCHIM AC, V41, P1313, DOI 10.1016/0016-7037(77)90075-8
   Braun C., 2019, LATE WEICHSELIAN HOL
   Briner JP, 2009, NAT GEOSCI, V2, P496, DOI 10.1038/ngeo556
   Buizert C, 2018, GEOPHYS RES LETT, V45, P1905, DOI 10.1002/2017GL075601
   Church JA, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1137
   Cottier FR, 2010, GEOL SOC SPEC PUBL, V344, P35, DOI 10.1144/SP344.4
   COWAN EA, 1990, GEOL SOC SPEC PUBL, V53, P75, DOI 10.1144/GSL.SP.1990.053.01.04
   Dallmann W., 2015, GEOSCIENCE ATLAS SVA, V148, P133
   Dowdeswell JA, 2015, SEDIMENTOLOGY, V62, P1665, DOI 10.1111/sed.12198
   Efron B., 1985, BEHAVIORMETRIKA, V12, P1, DOI [10.2333/bhmk.12.17_1, DOI 10.2333/BHMK.12.17_1]
   Farnsworth WR, 2020, EARTH-SCI REV, V208, DOI 10.1016/j.earscirev.2020.103249
   Flanner MG, 2011, NAT GEOSCI, V4, P151, DOI [10.1038/ngeo1062, 10.1038/NGEO1062]
   Forman SL, 2004, QUATERNARY SCI REV, V23, P1391, DOI 10.1016/j.quascirev.2003.12.007
   Fuentes V, 2016, SCI REP-UK, V6, DOI 10.1038/srep27234
   Hawkings JR, 2020, P NATL ACAD SCI USA, V117, P31648, DOI 10.1073/pnas.2014378117
   Hawkings JR, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms4929
   Holland DM, 2008, NAT GEOSCI, V1, P659, DOI 10.1038/ngeo316
   Hopwood MJ, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-05488-8
   Horton BP, 2020, NPJ CLIM ATMOS SCI, V3, DOI 10.1038/s41612-020-0121-5
   Howat IM, 2011, J GLACIOL, V57, P389, DOI 10.3189/002214311796905631
   Hughes ALC, 2016, BOREAS, V45, P1, DOI 10.1111/bor.12142
   Isaksen K, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2007GL031002
   Jakobsson M, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-0520-9
   Jang K, 2021, GLOBAL PLANET CHANGE, V201, DOI 10.1016/j.gloplacha.2021.103483
   Jang K, 2020, EARTH PLANET SC LETT, V542, DOI 10.1016/j.epsl.2020.116319
   Kanna N, 2020, GLOBAL BIOGEOCHEM CY, V34, DOI 10.1029/2020GB006567
   Knies J, 2009, NORW J GEOL, V89, P79
   Kochtitzky W, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-33231-x
   Laufer-Meiser K, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-21558-w
   Lindsay R, 2015, CRYOSPHERE, V9, P269, DOI 10.5194/tc-9-269-2015
   Mangerud J, 2006, QUATERNARY SCI REV, V25, P3228, DOI 10.1016/j.quascirev.2006.03.010
   Meslard F, 2018, ESTUAR COAST SHELF S, V204, P212, DOI 10.1016/j.ecss.2018.02.020
   O Cofaigh C, 2001, QUATERNARY SCI REV, V20, P1411, DOI 10.1016/S0277-3791(00)00177-3
   Oppenheimer M., IPCC Special Report on the Ocean and Cryosphere in a Changing Climate, DOI [10.1017/9781009157964.006, DOI 10.1017/9781009157964.006, DOI 10.1126/SCIENCE.AAM6284]
   Osman MB, 2021, NATURE, V599, P239, DOI 10.1038/s41586-021-03984-4
   Pattyn F, 2018, NAT CLIM CHANGE, V8, P1053, DOI 10.1038/s41558-018-0305-8
   Petschick R, 1996, MAR GEOL, V130, P203, DOI 10.1016/0025-3227(95)00148-4
   Raiswell R, 2018, FRONT EARTH SC-SWITZ, V6, DOI 10.3389/feart.2018.00222
   Rantanen M, 2022, COMMUN EARTH ENVIRON, V3, DOI 10.1038/s43247-022-00498-3
   Rasmussen TL, 2021, QUAT SCI ADV, V3, DOI 10.1016/j.qsa.2020.100019
   Raven MD, 2017, CLAY CLAY MINER, V65, P122, DOI [10.1346/CCMN.2017.064054, 10.1346/ccmn.2017.064054]
   Romanovsky VE, 2010, PERMAFROST PERIGLAC, V21, P106, DOI 10.1002/ppp.689
   Rye CD, 2014, NAT GEOSCI, V7, P732, DOI [10.1038/ngeo2230, 10.1038/NGEO2230]
   Schroth AW, 2014, GEOPHYS RES LETT, V41, P3951, DOI 10.1002/2014GL060199
   Shepherd A, 2018, NATURE, V558, P219, DOI 10.1038/s41586-018-0179-y
   STUIVER M, 1993, RADIOCARBON, V35, P215, DOI 10.1017/S0033822200013904
   Svendsen JI, 1997, HOLOCENE, V7, P45, DOI 10.1177/095968369700700105
   Tessin A, 2020, GLOBAL BIOGEOCHEM CY, V34, DOI 10.1029/2020GB006581
   Trusel LD, 2018, NATURE, V564, P104, DOI 10.1038/s41586-018-0752-4
   van den Broeke M, 2009, SCIENCE, V326, P984, DOI 10.1126/science.1178176
   van der Bilt WGM, 2018, QUATERNARY SCI REV, V183, P204, DOI 10.1016/j.quascirev.2016.10.006
   Vogt C, 2002, CLAY CLAY MINER, V50, P388, DOI 10.1346/000986002760833765
   Wadham JL, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-11394-4
   Wehrmann LM, 2014, GEOCHIM COSMOCHIM AC, V141, P628, DOI 10.1016/j.gca.2014.06.007
   Werner A., 1993, The Holocene, V3, P128, DOI [10.1177/095968369300300204, DOI 10.1177/095968369300300204]
   Werner K, 2016, QUATERNARY SCI REV, V147, P194, DOI 10.1016/j.quascirev.2015.09.007
   Williams GD, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms12577
   Wood M., 2021, SCI ADV
   Zemp M, 2019, NATURE, V568, P382, DOI 10.1038/s41586-019-1071-0
   Zhang RF, 2015, EARTH PLANET SC LETT, V424, P201, DOI 10.1016/j.epsl.2015.05.031
NR 66
TC 5
Z9 6
U1 5
U2 17
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0012-821X
EI 1385-013X
J9 EARTH PLANET SC LETT
JI Earth Planet. Sci. Lett.
PD APR 1
PY 2023
VL 607
AR 118054
DI 10.1016/j.epsl.2023.118054
EA MAR 2023
PG 12
WC Geochemistry & Geophysics
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geochemistry & Geophysics
GA 9X7DB
UT WOS:000949925000001
OA Green Published, Green Submitted, hybrid
DA 2025-01-10
ER

PT J
AU Buffam, I
   Hagemann, FA
   Emilsson, T
   Gamstetter, D
   Pálsdóttir, AM
   Randrup, TB
   Yeshitela, K
   Sang, ÅO
AF Buffam, Ishi
   Hagemann, Frederik Aagaard
   Emilsson, Tobias
   Gamstetter, David
   Palsdottir, Anna Maria
   Randrup, Thomas Barfoed
   Yeshitela, Kumelachew
   Sang, Asa Ode
TI Priorities and barriers for urban ecosystem service provision: A
   comparison of stakeholder perspectives from three cities
SO FRONTIERS IN SUSTAINABLE CITIES
LA English
DT Article
DE urban planning and management; Urban Green Infrastructure (UGI); Cascade
   Model of ecosystem services; Nature-based Solution (NbS); Global South;
   Sustainable Development Goals (SDG)
ID GREEN INFRASTRUCTURE; ADDIS-ABABA; STORMWATER MANAGEMENT; PUBLIC-HEALTH;
   GOVERNANCE; CHALLENGES; ADAPTATION; SPACE; IMPLEMENTATION; OPPORTUNITIES
AB Urban Green Infrastructure (UGI) can provide many needed ecosystem services (ES) to help address challenges like biodiversity loss and climate change while contributing to the health and wellbeing of urban inhabitants. In order to optimize UGI for a given city, a first step is to assess the local ES needs and the potential barriers to ES provision. However, it is not known how consistent these needs and barriers are among cities in different settings. To help address this knowledge gap, the aim of this study was to assess ES priorities and existing barriers to ES provision for three cities varying in socioeconomic, cultural and climatic setting: Addis Ababa (Ethiopia), Cincinnati (USA) and Malmo (Sweden). In case studies of each of the three cities, we carried out workshops with key stakeholders and collected their assessments of both current provision of ES from UGI and future priorities. The workshops were followed by expert stakeholder interviews aimed at highlighting existing barriers to ES provision. In spite of the different urban contexts, expressed ES priorities were similar among the cities, with the highest cross-cutting priorities being climate change adaptation, stormwater runoff management and water quality, mental and physical health, biodiversity, and provision of local food. Stakeholder-expressed barriers to ES provision were also broadly similar among cities, falling into three main categories: structural pressures, gaps in governance, and lack of ecological awareness and vision. Our results suggest that certain key ES priorities and barriers may apply broadly to cities regardless of climatic or socio-cultural context. These generic needs can help direct the focus of future studies, and imply a clear benefit to international, even cross-continental study and knowledge-exchange among practitioners and researchers working with UGI.
C1 [Buffam, Ishi; Hagemann, Frederik Aagaard; Emilsson, Tobias; Randrup, Thomas Barfoed; Sang, Asa Ode] Swedish Univ Agr Sci, Dept Landscape Architecture Planning & Management, Alnarp, Sweden.
   [Gamstetter, David] Univ Cincinnati, Coll Design Art Architecture & Planning, Cincinnati, OH USA.
   [Gamstetter, David] Davey Resource Grp, Kent, OH USA.
   [Palsdottir, Anna Maria] Swedish Univ Agr Sci, Dept People & Soc, Alnarp, Sweden.
   [Yeshitela, Kumelachew] Addis Ababa Univ, Ethiopian Inst Architecture Bldg Construct & City, Addis Ababa, Ethiopia.
C3 Swedish University of Agricultural Sciences; University System of Ohio;
   University of Cincinnati; Swedish University of Agricultural Sciences;
   Addis Ababa University
RP Buffam, I (corresponding author), Swedish Univ Agr Sci, Dept Landscape Architecture Planning & Management, Alnarp, Sweden.
EM ishi.buffam@slu.se
RI Sang, Åsa/AAW-2968-2020; Randrup, Thomas/JCE-0718-2023; Yeshitela,
   Kumelachew/AAC-8556-2022; B. Randrup, Thomas/N-1650-2015
OI Aagaard Hagemann, Frederik/0000-0003-1862-317X; Emilsson,
   Tobias/0000-0001-9806-9652; Buffam, Ishi/0000-0002-2625-6640; B.
   Randrup, Thomas/0000-0003-1368-3915
FU Swedish Research Council for Sustainable Development (Formas)
   [2018-02349]; Formas [2018-02349] Funding Source: Formas
FX This research was funded by the Swedish Research Council for Sustainable
   Development (Formas) through the grant Nr 2018-02349 Urban Green
   Infrastructure for Optimizing Long -Term Provision of Ecosystem
   Services.
CR AACPPO, 2017, summary report
   Albert C, 2019, LANDSCAPE URBAN PLAN, V182, P12, DOI 10.1016/j.landurbplan.2018.10.003
   Almenar JB, 2021, LAND USE POLICY, V100, DOI 10.1016/j.landusepol.2020.104898
   Anderson CB, 2019, SUSTAIN SCI, V14, P543, DOI 10.1007/s11625-018-0643-5
   Andersson E, 2014, AMBIO, V43, P445, DOI 10.1007/s13280-014-0506-y
   Baró F, 2015, ECOL INDIC, V55, P146, DOI 10.1016/j.ecolind.2015.03.013
   Barry J, 1999, ECOL ECON, V28, P337, DOI 10.1016/S0921-8009(98)00053-6
   Beery T, 2016, ECOSYST SERV, V17, P123, DOI 10.1016/j.ecoser.2015.12.002
   Berland A, 2014, URBAN FOR URBAN GREE, V13, P734, DOI 10.1016/j.ufug.2014.06.004
   Bolund P, 1999, ECOL ECON, V29, P293, DOI 10.1016/S0921-8009(99)00013-0
   Brink E, 2016, GLOBAL ENVIRON CHANG, V36, P111, DOI 10.1016/j.gloenvcha.2015.11.003
   Buchel S, 2015, ECOSYST SERV, V12, P169, DOI 10.1016/j.ecoser.2014.11.014
   Canedoli C, 2018, URBAN ECOSYST, V21, P779, DOI 10.1007/s11252-018-0757-7
   Chambers R., 2002, PARTICIPATORY WORKSH
   Charoenkit S, 2019, ECOL INDIC, V107, DOI 10.1016/j.ecolind.2019.105592
   Cincinnati City Planning Commission, 2012, PRESENTED LIVABLE CO, P234
   Cortinovis C, 2018, LAND USE POLICY, V70, P298, DOI 10.1016/j.landusepol.2017.10.017
   Creswell J. W., 2018, Research design: qualitative, quantitative, and mixed methods approaches
   Davies C., 2015, EU FP7 Project GREEN SURGE, Deliverable D5.1, DOI DOI 10.1038/nature10452
   De Vaus D.A., 2001, Research Design in Social Research
   Debolini M, 2015, LAND USE POLICY, V47, P373, DOI 10.1016/j.landusepol.2015.01.035
   Dobson J, 2021, CITIES, V108, DOI 10.1016/j.cities.2020.102989
   du Toit MJ, 2018, LANDSCAPE URBAN PLAN, V180, P249, DOI 10.1016/j.landurbplan.2018.06.001
   Eggermont H, 2015, GAIA, V24, P243, DOI 10.14512/gaia.24.4.9
   Elliott RM, 2020, AMBIO, V49, P569, DOI 10.1007/s13280-019-01223-9
   EU, 2013, MAPPING ASSESSMENT E
   European Commission-Directorate-General for Research and Innovation, 2021, Evaluating the impact of Nature-based Solutions: a summary for policy makers, DOI [10.2777/521937, DOI 10.2777/521937]
   Fetene A, 2013, URBAN FOR URBAN GREE, V12, P367, DOI 10.1016/j.ufug.2013.03.004
   Feyisa GL, 2014, LANDSCAPE URBAN PLAN, V123, P87, DOI 10.1016/j.landurbplan.2013.12.008
   Fu X, 2019, J ENVIRON MANAGE, V236, P571, DOI 10.1016/j.jenvman.2018.12.089
   Geneletti D, 2016, LAND USE POLICY, V50, P38, DOI 10.1016/j.landusepol.2015.09.003
   Gomez-Baggethun Erik, 2013, P175
   Grabalov P, 2018, URBAN FOR URBAN GREE, V33, P75, DOI 10.1016/j.ufug.2018.01.027
   Haase D, 2014, AMBIO, V43, P413, DOI 10.1007/s13280-014-0504-0
   Hagemann F.A., 2020, Socio-Ecological Practice Research, V2, P283, DOI DOI 10.1007/S42532-020-00054-3
   Hägerhäll CM, 2018, FRONT PSYCHOL, V9, DOI 10.3389/fpsyg.2018.00822
   Haghighatafshar S, 2018, J ENVIRON MANAGE, V207, P60, DOI 10.1016/j.jenvman.2017.11.018
   Herslund L, 2018, LANDSCAPE URBAN PLAN, V180, P319, DOI 10.1016/j.landurbplan.2016.10.008
   Hobbie SE, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0124
   Jansson M, 2019, LANDSCAPE RES, V44, P952, DOI 10.1080/01426397.2018.1536199
   Jansson M, 2018, LANDSCAPE RES, V43, P163, DOI 10.1080/01426397.2017.1306623
   Kabisch N, 2016, ECOL SOC, V21, DOI 10.5751/ES-08373-210239
   Kumar M, 2008, ECOL ECON, V64, P808, DOI 10.1016/j.ecolecon.2007.05.008
   Kvale S., 2009, Interviews: Learning the Craft of Qualitative Research Interviewing
   Lähde E, 2019, URBAN FOR URBAN GREE, V40, P63, DOI 10.1016/j.ufug.2018.03.012
   Lee H, 2016, ECOL INDIC, V66, P340, DOI 10.1016/j.ecolind.2016.02.004
   Luederitz C, 2015, ECOSYST SERV, V14, P98, DOI 10.1016/j.ecoser.2015.05.001
   Maes MJA, 2019, ENVIRON SCI POLICY, V93, P181, DOI 10.1016/j.envsci.2018.12.010
   Malmo Stad, 2018, COMPR PLAN MALM
   McFarland AR, 2019, ENVIRON SCI-WAT RES, V5, P643, DOI [10.1039/c8ew00498f, 10.1039/C8EW00498F]
   MEA, 2005, MILL ASS REP EC HUM
   MSD, 2020, METR SEW DISTR GREAT
   Naturvardsverket, 2018, GUID VAL EC SERV
   Nogeire-McRae T, 2018, BIOSCIENCE, V68, P748, DOI 10.1093/biosci/biy071
   Ordóñez C, 2019, LANDSCAPE URBAN PLAN, V189, P166, DOI 10.1016/j.landurbplan.2019.04.020
   Parsa VA, 2019, URBAN ECOSYST, V22, P989, DOI 10.1007/s11252-019-00870-w
   Pauleit S, 2019, URBAN FOR URBAN GREE, V40, P4, DOI 10.1016/j.ufug.2018.10.006
   Pauleit S, 2017, THEOR PRACT URB SUST, P29, DOI 10.1007/978-3-319-56091-5_3
   Barboza EP, 2021, LANCET PLANET HEALTH, V5, pE718, DOI 10.1016/S2542-5196(21)00229-1
   Potschin-Young M, 2018, ECOSYST SERV, V29, P428, DOI 10.1016/j.ecoser.2017.05.015
   Qiao XJ, 2019, J ENVIRON MANAGE, V248, DOI 10.1016/j.jenvman.2019.07.020
   Qiao XJ, 2018, J CLEAN PROD, V196, P943, DOI 10.1016/j.jclepro.2018.06.049
   Qviström M, 2016, URBAN FOR URBAN GREE, V17, P202, DOI 10.1016/j.ufug.2016.04.012
   Rall E, 2017, ECOL INDIC, V77, P80, DOI 10.1016/j.ecolind.2017.02.001
   Rall EL, 2015, ECOSYST SERV, V16, P230, DOI 10.1016/j.ecoser.2015.10.005
   Randrup T. B., 2020, URBAN OPEN SPACE GOV, P190, DOI DOI 10.4324/9780429056109-14
   Roy AH, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0085011
   Sang ÅO, 2021, URBAN ECOSYST, V24, P1343, DOI 10.1007/s11252-021-01113-7
   SCB, 2020, STAT SWED DAT
   Schubert P, 2018, J ENVIRON POL PLAN, V20, P298, DOI 10.1080/1523908X.2017.1396206
   Seddon N, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0120
   Shifflett SD, 2019, WATER-SUI, V11, DOI 10.3390/w11040738
   Shuster W, 2013, J HYDROL, V485, P177, DOI 10.1016/j.jhydrol.2012.10.043
   Sörensen J, 2019, J WATER RES PLAN MAN, V145, DOI 10.1061/(ASCE)WR.1943-5452.0001037
   Stad Malmo, 2021, GRONYTA INVANARE
   Statistics Sweden, 2019, GREEN SPAC GREEN AR
   TEEB-The Economics of Ecosystems and Biodiversity, 2010, The Economics of Ecosystems and Biodiversity: Mainstreaming the Economics of Nature: A synthesis of the approach, conclusions and recommendations of TEEB
   Teferi E, 2017, CLIM CHANG MANAG, P539, DOI 10.1007/978-3-319-49520-0_33
   Trust for Public Lands, 2020, CINC OH PARKSC RANK
   Tyrvainen L., 2005, URBAN FORESTS TREES, P81
   U.S. Census Bureau, 2020, TOWNS
   UN-Habitat, 2008, UN HUM SETTL PROGR
   van den Bosch M, 2017, ENVIRON RES, V158, P373, DOI 10.1016/j.envres.2017.05.040
   Van den Bosch MA, 2016, SCAND J PUBLIC HEALT, V44, P159, DOI 10.1177/1403494815615444
   van der Jagt APN, 2019, J ENVIRON MANAGE, V233, P757, DOI 10.1016/j.jenvman.2018.09.083
   van Notten PWF, 2003, FUTURES, V35, P423, DOI 10.1016/S0016-3287(02)00090-3
   Van Zyl B, 2021, URBAN PLAN, V6, P122, DOI 10.17645/up.v6i4.4456
   Vásquez A, 2016, PROCEDIA ENGINEER, V161, P1410, DOI 10.1016/j.proeng.2016.08.602
   Vierikko K, 2016, CURR OPIN ENV SUST, V22, P7, DOI 10.1016/j.cosust.2017.02.006
   Vineyard D, 2015, J AM WATER RESOUR AS, V51, P1342, DOI 10.1111/1752-1688.12320
   Wamsler C, 2020, J CLEAN PROD, V247, DOI 10.1016/j.jclepro.2019.119154
   Wamsler C, 2016, CLIMATIC CHANGE, V137, P71, DOI 10.1007/s10584-016-1660-y
   Wamsler C, 2014, GLOBAL ENVIRON CHANG, V29, P189, DOI 10.1016/j.gloenvcha.2014.09.008
   Wihlborg M, 2019, J ENVIRON MANAGE, V233, P706, DOI 10.1016/j.jenvman.2018.12.018
   Wijesinghe A, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13168937
   Woldegerima T, 2017, URBAN ECOSYST, V20, P683, DOI [10.1007/s11252-016-0624-3, 10.1007/]
   Wood SLR, 2018, ECOSYST SERV, V29, P70, DOI 10.1016/j.ecoser.2017.10.010
   Woodruff SC, 2016, LANDSCAPE URBAN PLAN, V152, P90, DOI 10.1016/j.landurbplan.2016.04.003
   Wubneh M, 2013, CITIES, V35, P255, DOI 10.1016/j.cities.2013.08.002
NR 99
TC 2
Z9 2
U1 5
U2 20
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2624-9634
J9 FRONT SUSTAIN CITIES
JI Front. Sustain. Cities
PD AUG 8
PY 2022
VL 4
AR 838971
DI 10.3389/frsc.2022.838971
PG 21
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies; Urban Studies
WE Emerging Sources Citation Index (ESCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology;
   Urban Studies
GA 7V4YV
UT WOS:000912822000001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Zeng, LY
   Li, RYM
   Nuttapong, J
   Sun, JK
   Mao, YY
AF Zeng, Liyun
   Li, Rita Yi Man
   Nuttapong, Jotikasthira
   Sun, Jinkun
   Mao, Yunyi
TI Economic Development and Mountain Tourism Research from 2010 to 2020:
   Bibliometric Analysis and Science Mapping Approach
SO SUSTAINABILITY
LA English
DT Article
DE mountain tourism; sustainable development; science mapping;
   scientometric analysis; bibliometric analysis
ID CLIMATE-CHANGE ADAPTATION; CO-AUTHORSHIP NETWORKS; RURAL TOURISM; WINTER
   TOURISM; SUSTAINABILITY; COOPETITION; IMPACTS; OPPORTUNITIES;
   CONSTRUCTION; CONSUMPTION
AB Due to hectic city lives and the growing health concerns in light of the global pandemic, mountain tourism has become increasingly popular worldwide, which has increased the related research. Based on traditional bibliometric laws, such as those authored by Price, Bradford, Lotka, and Zipf, this study acquired 1413 mountain tourism journal articles via bibliometric analysis and identified the most influential journal articles, researchers, and countries in mountain tourism research as indexed in theWeb of Science (WoS) database during 2010-2020. The keyword analysis revealed mountain tourism's emerging research topics, including climate change, sustainable development, sustainability, sustainable tourism, protected areas, rural tourism, and conservation. The most influential journal was Sustainability in the mountain tourism. The research results showed that China, the U.S., and Romania produced the most significant mountain tourism articles indexed in the WoS. Most developed countries in Europe had the highest average and average normalized citations, which indicated that they may have more influence in this field as compared to other countries. Some developing countries, such as India, Nepal, and China, had higher citations, average citations, and/or average normalized citations than other countries. The main research trend was the sustainable development aspect of mountain-based tourism during the COVID-19 pandemic. We identified the research gap in WoS; although there is some research shedding light on tourism via bibliometrics, mountain tourism bibliometric analysis and science mapping via VOSViewer is scarce. The paper summarizes the critical aspects of the current discussion of sustainable mountain tourism, such as transport and coopetition (i.e., combing with cooperation and competition) in mountain tourism areas. The results indicated that government agencies and destination managers need to strike a balance between sustainable mountain tourism development and environment and natural landscape conservation after COVID-19.
C1 [Zeng, Liyun; Nuttapong, Jotikasthira; Sun, Jinkun] Rajamangala Univ Technol Rattanakosin, Rattanakosin Int Coll Creat Entrepreneurship, Bangkok 10700, Thailand.
   [Zeng, Liyun; Sun, Jinkun; Mao, Yunyi] Panzhihua Univ, Civil & Architectural Engn Inst, Panzhihua 617000, Peoples R China.
   [Li, Rita Yi Man] Hong Kong Shue Yan Univ, Sustainable Real Estate Res Ctr, Hong Kong 999077, Peoples R China.
C3 Rajamangala University of Technology Rattanakosin; Panzhihua University;
   Hong Kong Shue Yan University
RP Zeng, LY (corresponding author), Rajamangala Univ Technol Rattanakosin, Rattanakosin Int Coll Creat Entrepreneurship, Bangkok 10700, Thailand.; Zeng, LY (corresponding author), Panzhihua Univ, Civil & Architectural Engn Inst, Panzhihua 617000, Peoples R China.
EM nonsar@foxmail.com; ymli@hksyu.edu; jotikasthira@gmail.com;
   paxf66290838@163.com; ffengyunsy@163.com
RI Zeng, nonsar/HJI-4058-2023
OI Mao, Yunyi/0009-0003-0513-1958; Zeng, Liyun/0000-0002-9297-9900
FU Starting Research Fund from the Panzhihua University [035200153]
FX This research was funded by the Ph.D. Starting Research Fund from the
   Panzhihua University (No. 035200153).
CR Acevedo-Duque A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12187238
   Aggarwal A, 2022, CLIM DEV, V14, P665, DOI 10.1080/17565529.2021.1971059
   Apollo M, 2020, RESOURCES-BASEL, V9, DOI 10.3390/resources9080098
   Bacos I.B., 2021, ECONOMICS, V9, P55, DOI [10.2478/eoik-2021-0005, DOI 10.2478/EOIK-2021-0005]
   Barros A, 2013, J ENVIRON MANAGE, V127, P50, DOI 10.1016/j.jenvman.2013.04.030
   Beniston M, 2012, J HYDROL, V412, P291, DOI 10.1016/j.jhydrol.2010.06.046
   Bonzanigo L, 2016, J SUSTAIN TOUR, V24, P637, DOI 10.1080/09669582.2015.1122013
   Brida JG, 2014, J TRANSP GEOGR, V36, P1, DOI 10.1016/j.jtrangeo.2014.02.004
   BULICK S, 1978, COLL RES LIBR, V39, P215, DOI 10.5860/crl_39_03_215
   Buning RJ, 2021, TOURISM ECON, V27, P500, DOI 10.1177/1354816620901955
   Cassettari RRB, 2015, PROF INFORM, V24, P157, DOI 10.3145/epi.2015.mar.09
   Abellán FC, 2021, LAND-BASEL, V10, DOI 10.3390/land10020221
   Cernaianu S, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13010274
   Chakraborty A, 2018, TOUR PLAN DEV, V15, P82, DOI 10.1080/21568316.2017.1324810
   Chen N., 2020, DICT GEOTOURISM, DOI [10.1007/978-981-13-2538-0_1640, DOI 10.1007/978-981-13-2538-0_1640]
   Chen W.M., 2017, TOUR FORUM, V10, P9
   Cheng FF, 2018, LIBR HI TECH, V36, P636, DOI 10.1108/LHT-01-2018-0004
   Chim-Miki AF, 2018, J HOSP TOUR MANAG, V37, P78, DOI 10.1016/j.jhtm.2018.10.004
   Chim-Miki AF, 2017, INT BUS REV, V26, P1208, DOI 10.1016/j.ibusrev.2017.05.003
   COILE RC, 1977, J AM SOC INFORM SCI, V28, P366, DOI 10.1002/asi.4630280610
   Cousquer G.O., 2014, ENCY TOURISM
   Crick JM, 2021, J BUS RES, V122, P226, DOI 10.1016/j.jbusres.2020.08.065
   Cristache N, 2022, ENVIRON DEV SUSTAIN, V24, P5514, DOI 10.1007/s10668-021-01669-6
   Dar RA, 2014, ENVIRON MONIT ASSESS, V186, P2549, DOI 10.1007/s10661-013-3559-7
   Dax T, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11164418
   del Río-Rama MD, 2019, EUR J TOUR RES, V22, P130
   Debarbieux B., 2014, Tourism in Mountain Regions: Hopes, Fears
   Della Corte V, 2016, TOURISM MANAGE, V54, P524, DOI 10.1016/j.tourman.2015.12.009
   Demiroglu OC, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11050498
   Demirovic D, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10010070
   Deng Y.C., 2019, RES MOD CITIES, V2, P94
   Dimitrov N, 2017, INTL SCI CONF GEOBAL, P225, DOI 10.18509/GBP.2017.30
   Dongyue Wang, 2021, Arabian Journal of Geosciences, V14, DOI 10.1007/s12517-021-07245-6
   Dornier R, 2018, WORLDW HOSP TOUR THE, V10, P136, DOI 10.1108/WHATT-12-2017-0078
   Dornier R, 2018, WORLDW HOSP TOUR THE, V10, P267, DOI 10.1108/WHATT-01-2018-0003
   Du G, 2020, IEEE ACCESS, V8, P158208, DOI 10.1109/ACCESS.2020.3020151
   Duglio S, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11215997
   Duozi L., 2018, SHAIXI ARCHIT, V44, P3
   Emanoil S.A.V.I.N., 2009, P THE 9 INT C INVEST, P91
   Fong VHI, 2018, TOURISM MANAGE, V66, P244, DOI 10.1016/j.tourman.2017.12.005
   Fort M, 2015, ENVIRON EARTH SCI, V73, P801, DOI 10.1007/s12665-014-3087-y
   Gabriel-Campos E, 2021, J HOSP TOUR MANAG, V48, P416, DOI 10.1016/j.jhtm.2021.07.016
   Grauslund D, 2021, SCAND J HOSP TOUR, V21, P192, DOI 10.1080/15022250.2021.1877192
   Gu YQ, 2018, J ENVIRON PROT ECOL, V19, P1193
   Hall C. M., 2006, e-Review of Tourism Research, V4, P119
   Havlíková M, 2019, ENVIRON SOCIO-ECON S, V7, P26, DOI 10.2478/environ-2019-0021
   He X.R., 2020, CHIN OVERSEAS ARCHIT, V13, P121
   Hock R., 2019, IPCC Special Report on the Ocean and Cryosphere in a changing climate, P131, DOI [DOI 10.1017/9781009157964.004, 10.1017/ 9781009157964.004]
   Hoy A, 2011, REG ENVIRON CHANGE, V11, P459, DOI 10.1007/s10113-010-0155-z
   Hu B, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11123373
   Immerzeel WW, 2020, NATURE, V577, P364, DOI 10.1038/s41586-019-1822-y
   Jiang H, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10114065
   Jiang Z., 2007, J CHONGQING NORM U N, V24, P77
   Jin RY, 2019, RESOUR CONSERV RECY, V140, P175, DOI 10.1016/j.resconrec.2018.09.029
   Kabil M, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13073650
   Khartishvili L, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11020410
   [Кипкеева П.А. Kipkeeva P.A.], 2015, [Вестник Московского университета. Серия 5: География, Vestnik Moskovskogo universiteta. Seriya 5: Geografiya], P76
   Korner S., 2002, MOUNTAIN BIODIVERSIT
   Kortoci Y, 2017, TOURISM ECON, V23, P1662, DOI 10.1177/1354816617716742
   Köseoglu MA, 2018, J HOSP MARKET MANAG, V27, P561, DOI 10.1080/19368623.2018.1399192
   Kumar S, 2014, DESIDOC J LIB INF TE, V34, P223
   Kylanen M, 2012, ANATOLIA, V23, P61, DOI 10.1080/13032917.2011.653632
   Lam-González YE, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11226334
   Lenart-Boron AM, 2022, SCI TOTAL ENVIRON, V806, DOI 10.1016/j.scitotenv.2021.151355
   Li JP, 2021, J CLEAN PROD, V325, DOI 10.1016/j.jclepro.2021.129278
   Li K, 2018, SCIENTOMETRICS, V115, P1, DOI 10.1007/s11192-017-2622-5
   Li R.Y.M., 2017, EC ANAL AUTOMATED CO, P1
   Li RYM, 2011, ECON AFFA, V31, P73, DOI 10.1111/j.1468-0270.2010.02053.x
   Li S, 2017, AGRO FOOD IND HI TEC, V28, P1265
   Linca AC, 2021, SCI PAP-SER MANAG EC, V21, P357
   Liu WY, 2021, FORESTS, V12, DOI 10.3390/f12020171
   Lojo A, 2019, J CHINA TOUR RES, V15, P295, DOI 10.1080/19388160.2018.1512433
   Lotka A. J., 1926, Journal of the Franklin Institute, V202, P271, DOI [10.1016/s0016-0032(26)91166-6, https://doi.org/10.1016/s0016-0032(26)91166-6, DOI 10.1016/S0016-0032(26)91166-6]
   Lulcheva I, 2018, SCI PAP-SER MANAG EC, V18, P283
   Lun LM, 2016, J QUAL ASSUR HOSP TO, V17, P389, DOI 10.1080/1528008X.2015.1096754
   Luo FS, 2022, SAFETY SCI, V145, DOI 10.1016/j.ssci.2021.105519
   Madrid-Casaca H, 2021, AGRONOMY-BASEL, V11, DOI 10.3390/agronomy11081471
   Maksimovic M, 2018, EKON POLJOPR, V65, P531, DOI 10.5937/ekoPolj1802531M
   Milicevic S, 2021, J MT SCI-ENGL, V18, P735, DOI 10.1007/s11629-020-6239-4
   Mutana S, 2018, J OUTDOOR REC TOUR, V24, P59, DOI 10.1016/j.jort.2018.08.003
   Mutana S, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9071202
   Nepal S. K., 2005, Tourism Geographies, V7, P313, DOI 10.1080/14616680500164849
   Nevistic Z, 2019, GEOSCAPE, V13, P114, DOI 10.2478/geosc-2019-0011
   Paunovic I, 2019, ACTA GEOGR SLOV, V59, P59, DOI 10.3986/AGS.4630
   Paunovic I, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9020226
   Pickering CM, 2010, J ENVIRON MANAGE, V91, P551, DOI 10.1016/j.jenvman.2009.09.025
   Pilving T, 2019, TOUR MANAG PERSPECT, V31, P219, DOI 10.1016/j.tmp.2019.05.001
   Podovac M, 2019, EKON POLJOPR, V66, P205, DOI [10.5937/ekopolj1901205p, 10.5937/ekoPolj1901205P]
   PONTIGO J, 1986, SCIENTOMETRICS, V9, P59, DOI 10.1007/BF02016608
   Poponi S, 2020, ECOL SOC, V25, DOI 10.5751/ES-11996-250446
   PRICE DJD, 1976, J AM SOC INFORM SCI, V27, P292, DOI 10.1002/asi.4630270505
   Pröbstl-Haider U, 2021, J OUTDOOR REC TOUR, V34, DOI 10.1016/j.jort.2020.100344
   Rixen C, 2011, MT RES DEV, V31, P229, DOI 10.1659/MRD-JOURNAL-D-10-00112.1
   Romeo R., 2020, Vulnerability of Mountain Peoples to Food Insecurity: Updated Data and Analysis of Drivers
   Ruiz-Real JL, 2022, J HOSP TOUR RES, V46, P1322, DOI 10.1177/1096348020926538
   Salim E, 2021, J MT SCI-ENGL, V18, P1977, DOI 10.1007/s11629-021-6723-5
   Salvado J. O. M. G., 2016, Tourism and Hospitality International Journal, V6, P77
   Savulescu I, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11236679
   Schnitzer M, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10051447
   Scuttari A, 2019, J SUSTAIN TOUR, V27, P241, DOI 10.1080/09669582.2018.1428336
   Shasha ZT, 2020, ENVIRON SCI POLLUT R, V27, P23514, DOI 10.1007/s11356-020-08584-9
   Shelton RD, 2020, SCIENTOMETRICS, V123, P181, DOI 10.1007/s11192-020-03392-x
   Shih NJ, 2019, TOURISM GEOGR, V21, P24, DOI 10.1080/14616688.2017.1388437
   Singh R., 2004, Journal of Mountain Science, V1, P57, DOI [https://doi.org/10.1007/BF02919360, DOI 10.1007/BF02919360]
   Song JB, 2016, SCIENTOMETRICS, V107, P1111, DOI 10.1007/s11192-016-1918-1
   Song LX, 2022, SAFETY SCI, V147, DOI 10.1016/j.ssci.2021.105602
   Statuto D, 2017, J AGRIC ENG-ITALY, V48, P21, DOI 10.4081/jae.2017.643
   Su HN, 2010, SCIENTOMETRICS, V85, P65, DOI 10.1007/s11192-010-0259-8
   Taczanowska K, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11051314
   Telbisz T, 2020, J MT SCI-ENGL, V17, P271, DOI 10.1007/s11629-019-5861-5
   Thimm T, 2019, EUR J TOUR RES, V23, P63
   Thorn JPR, 2021, GLOBAL ENVIRON CHANG, V69, DOI 10.1016/j.gloenvcha.2021.102291
   [田瑾 Tian Jin], 2021, [经济地理, Economic Geography], V41, P212
   Tian M., 2020, WORLD REG STUD, V29, P1071, DOI [10.3969/j.issn.1004-9479.2020.05.2019103, DOI 10.3969/J.ISSN.1004-9479.2020.05.2019103]
   Unger R, 2016, MT RES DEV, V36, P475, DOI 10.1659/MRD-JOURNAL-D-16-00058.1
   Van Eck N.J., 2014, Measuring Scholarly Impact, P285, DOI [10.1007/978-3-319-10377-8_13(InEng.), 10.1007/978-3-319-10377-8_13, DOI 10.1007/978-3-319-10377-8_13, DOI 10.1007/978-3-319-10377-813]
   Vega-Muñoz A, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13063195
   Vega-Muñoz A, 2020, INT J HOSP MANAG, V85, DOI 10.1016/j.ijhm.2019.102353
   Vespestad MK, 2011, CURR ISSUES TOUR, V14, P563, DOI 10.1080/13683500.2010.513730
   Vij S, 2021, MT RES DEV, V41, pA1, DOI [10.1659/MRD-JOURNAL-D-20-00033.1, 10.1658/MRD-JOURNAL-D-20-00033.1]
   Vukoicic D, 2020, MINERALS-BASEL, V10, DOI 10.3390/min10030269
   Wagenseil Z., 2016, SUSTAINABLE MOUNTAIN, V1, P10
   Wang J, 2020, J COASTAL RES, P1153, DOI 10.2112/SI103-241.1
   Wang M., 2017, J GUILIN U TECHNOL, V37, P8
   Wang SJ, 2015, ENVIRON HAZARDS-UK, V14, P122, DOI 10.1080/17477891.2014.1003776
   Willibald F, 2021, SCI TOTAL ENVIRON, V784, DOI 10.1016/j.scitotenv.2021.147054
   Wölfle F, 2018, Z TOUR, V10, P303, DOI 10.1515/tw-2018-0018
   [向旭 Xiang Xu], 2014, [西南大学学报. 自然科学版, Journal of Southwest University. Natural Science Edition], V36, P150
   Xie Z., 2015, J HENAN U, V45, P7
   Yigitcanlar T., 2021, J. Open Innov. Technol. Mark. Complex, V7, DOI DOI 10.3390/JOITMC7010071
   Zeng LY, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132313314
   Zhang W., 2014, J SHANXI COAL MIN AD, V27, P3
   Zheng N, 2019, EKOLOJI, V28, P2917
   Zhong Z.P., 2020, BIORXIV, DOI [10.1101/2020.01.03.894675v1.abstract, DOI 10.1101/2020.01.03.894675V1.ABSTRACT]
   Ziegler AD, 2023, ENVIRON HAZARDS-UK, V22, P1, DOI 10.1080/17477891.2021.1984196
   Zipf G. K., 1932, Selected studies on the principle of relative frequency in language
NR 136
TC 30
Z9 30
U1 17
U2 84
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JAN
PY 2022
VL 14
IS 1
AR 562
DI 10.3390/su14010562
PG 27
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 7S8QO
UT WOS:000911016900001
OA gold
DA 2025-01-10
ER

PT J
AU Nguyen-Anh, T
   Nong, D
   Leu, S
   To-The, N
AF Nguyen-Anh, Tuan
   Nong, Duy
   Leu, Shawn
   To-The, Nguyen
TI Changes in the environment from perspectives of small-scale farmers in
   remote Vietnam
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Perception to climate change; Adaptation strategy; Mountainous regions;
   Vietnam; North and central regions; Multivariate probit regression model
ID CLIMATE-CHANGE ADAPTATION; SUSTAINABLE LIVELIHOOD; RISK PERCEPTIONS;
   FOOD SECURITY; AGRICULTURE; HOUSEHOLD; VULNERABILITY; DETERMINANTS;
   PRODUCTIVITY; VARIABILITY
AB Changes in living environments due to natural hazards are important indicators that affect livelihood and sustainable development, particularly for those farmers residing in poor and remote regions. The uptake of adaptive measures by these farmers is generally partial or incomplete. Thus, there is a real need to understand better the set of drivers that shapes farmers' decisions of adaptation practices, which help to minimize risks and overcome hazards so that sustainable regional development can be facilitated and maintained. We extend the theoretical framework by adding a psychological driver to the traditional Capital Approach Framework (CAF) to examine the nexus between farmers' perceptions, their adaptive assets (human, physical, financial, social, and natural capitals), and their adaptation strategies. In this study, we use survey data of 916 small-scale Vietnamese farmers to examine the research question by employing a multivariate probit model. Our results suggest that heightened perception increases the propensity of respondents to diversify their income sources away from agricultural activities and engage in better investment management. Government assistance in the form of extension training and microcredit programs demotivates farmers from adaptations, therefore redesignation of these schemes or collaboration with the private sector is necessary. Information obtained from local officers would encourage farmers to widely adapt their livelihood strategies to climate change, we thus suggest that the farmers should utilize this information as much as they can. Along with our finding of the significant impact of farm size on farmers' adaptations adoptions, the "land accumulation" program directly benefits small-scale farmers so that they are motivated to either expand productions or transfer land ownership by participating in the land market. The application of this program may help other countries to avoid land fragmentation and abandonment to ensure farmers' livelihood under climate change.
C1 [Nguyen-Anh, Tuan; To-The, Nguyen] VNU Univ Econ & Business, Hanoi, Vietnam.
   [Nong, Duy] CSIRO, Agr & Food, Canberra, ACT, Australia.
   [Nong, Duy] Griffith Univ, Griffith Business Sch, Brisbane, Qld, Australia.
   [Leu, Shawn] Univ New England, UNE Sch Business, Armidale, NSW, Australia.
   [To-The, Nguyen] Thang Long Univ, TIMAS, Hanoi, Vietnam.
C3 Vietnam National University Hanoi (VNU Hanoi) System; VNU University of
   Economics & Business (VNU-UEB); Commonwealth Scientific & Industrial
   Research Organisation (CSIRO); Agriculture & Food; Griffith University;
   University of New England
RP To-The, N (corresponding author), VNU Univ Econ & Business, Hanoi, Vietnam.; To-The, N (corresponding author), Thang Long Univ, TIMAS, Hanoi, Vietnam.
EM tothenguyen@gmail.com
RI Leu, Shawn/AAW-2148-2021; Nguyen, Tuan/AAC-8994-2021; Nong,
   Duy/AAH-5991-2019; Nguyen, Tuan/HDO-5946-2022
OI To-The, Nguyen/0000-0002-8839-255X; Nong, Duy/0000-0002-4632-9835; Leu,
   Shawn/0000-0002-3620-537X
FU Vietnam National Foundation for Science and Technology; Development
   (NAFOSTED) [502.01-2018.309]
FX This research is funded by the Vietnam National Foundation for Science
   and Technology. Development (NAFOSTED) under grant number
   502.01-2018.309.
CR Afriyie-Kraft L, 2020, FOREST POLICY ECON, V113, DOI 10.1016/j.forpol.2020.102115
   Ali A, 2017, CLIM RISK MANAG, V16, P183, DOI 10.1016/j.crm.2016.12.001
   Amfo B, 2020, FOREST POLICY ECON, V119, DOI 10.1016/j.forpol.2020.102265
   Anderson JR, 2004, WORLD BANK RES OBSER, V19, P41, DOI 10.1093/wbro/lkh013
   Arbuckle JG, 2013, CLIMATIC CHANGE, V118, P551, DOI 10.1007/s10584-013-0700-0
   Azadi Y, 2019, J ENVIRON MANAGE, V250, DOI 10.1016/j.jenvman.2019.109456
   Barde Mohini P, 2012, Perspect Clin Res, V3, P113, DOI 10.4103/2229-3485.100662
   Beilmann M, 2018, SOC INDIC RES, V137, P641, DOI 10.1007/s11205-017-1614-4
   Below TB, 2015, REG ENVIRON CHANGE, V15, P1169, DOI 10.1007/s10113-014-0620-1
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   Bryant CR, 2000, CLIMATIC CHANGE, V45, P181, DOI 10.1023/A:1005653320241
   Cappellari L, 2003, STATA J, V3, P278, DOI 10.1177/1536867X0300300305
   Cuaresma JC, 2017, GLOBAL ENVIRON CHANG, V42, P226, DOI 10.1016/j.gloenvcha.2015.02.012
   Deressa TT, 2011, J AGR SCI-CAMBRIDGE, V149, P23, DOI 10.1017/S0021859610000687
   Deressa TT, 2009, GLOBAL ENVIRON CHANG, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Di Falco S, 2018, ECOL ECON, V154, P394, DOI 10.1016/j.ecolecon.2018.08.015
   Djomo J M.N., 2012, International Business Research, V5, P149, DOI [10.5539/ibr.v5n4p149, DOI 10.5539/IBR.V5N4P149]
   Fafchamps M, 1999, J HUM RESOUR, V34, P369, DOI 10.2307/146350
   Fahad S, 2018, LAND USE POLICY, V79, P301, DOI 10.1016/j.landusepol.2018.08.018
   Feleke FB, 2016, SPRINGERPLUS, V5, DOI 10.1186/s40064-016-3042-3
   Fisman R, 2001, AM ECON REV, V91, P1095, DOI 10.1257/aer.91.4.1095
   Fosu-Mensah B. Y., 2012, Environment Development and Sustainability, V14, P495, DOI 10.1007/s10668-012-9339-7
   Galdies C, 2016, EUR J AGRON, V74, P18, DOI 10.1016/j.eja.2015.11.011
   de Jalón SG, 2018, ENVIRON SCI POLICY, V90, P38, DOI 10.1016/j.envsci.2018.09.013
   Gebrehiwot T, 2013, ENVIRON MANAGE, V52, P29, DOI 10.1007/s00267-013-0039-3
   Gentle P, 2012, ENVIRON SCI POLICY, V21, P24, DOI 10.1016/j.envsci.2012.03.007
   Golob TF, 2002, TRANSPORT RES C-EMER, V10, P205, DOI 10.1016/S0968-090X(02)00006-2
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Guo SL, 2019, SUSTAIN DEV, V27, P725, DOI 10.1002/sd.1937
   Hall GH, 2012, INDIGENOUS PEOPLES, POVERTY, AND DEVELOPMENT, P1, DOI 10.1017/CBO9781139105729
   Hennessy T, 2012, J AGRIC EDUC EXT, V18, P41, DOI 10.1080/1389224X.2012.638784
   Dang HL, 2014, ENVIRON MANAGE, V54, P331, DOI 10.1007/s00267-014-0299-6
   Dang HL, 2014, MITIG ADAPT STRAT GL, V19, P531, DOI 10.1007/s11027-012-9447-6
   Hou LL, 2015, CLIM RES, V63, P191, DOI 10.3354/cr01295
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Hussein H, 2019, MEDITERR POLIT, V24, P269, DOI 10.1080/13629395.2017.1418941
   Kimathi SM, 2020, COGENT FOOD AGR, V7, DOI 10.1080/23311932.2020.1860185
   Kuang FY, 2019, LAND USE POLICY, V89, DOI 10.1016/j.landusepol.2019.104228
   Leach K, 2019, ECOSYST SERV, V36, DOI 10.1016/j.ecoser.2019.100899
   Li S, 2017, J ENVIRON MANAGE, V185, P21, DOI 10.1016/j.jenvman.2016.10.051
   Li S, 2015, INT J DISAST RISK RE, V12, P278, DOI 10.1016/j.ijdrr.2015.02.002
   Lobell DB, 2014, GLOB FOOD SECUR-AGR, V3, P72, DOI 10.1016/j.gfs.2014.05.002
   Markussen T, 2014, J DEV ECON, V110, P291, DOI 10.1016/j.jdeveco.2014.01.011
   Marshall NA, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/3/034022
   Mendelsohn R, 1999, WORLD BANK RES OBSER, V14, P277, DOI 10.1093/wbro/14.2.277
   Mendelsohn R., 2008, Journal of Natural Resources Policy Research, V1, P5, DOI [DOI 10.1080/19390450802495882, 10.1080/19390450802495882]
   Nelson J, 2020, PUBLIC FINANC REV, V48, P425, DOI 10.1177/1091142120923640
   Ng'ang'a SK, 2016, REG ENVIRON CHANGE, V16, P2317, DOI 10.1007/s10113-016-0940-4
   Pham NTT, 2021, SCI TOTAL ENVIRON, V759, DOI 10.1016/j.scitotenv.2020.142656
   Pham NTT, 2019, J ENVIRON MANAGE, V252, DOI 10.1016/j.jenvman.2019.109672
   Nhemachena C., 2014, Journal of Development and Agricultural Economics, V6, P232
   Ojwang L, 2017, EARTHS FUTURE, V5, P1119, DOI 10.1002/2017EF000595
   Olesen JE, 2011, EUR J AGRON, V34, P96, DOI 10.1016/j.eja.2010.11.003
   Olesen JE, 2002, EUR J AGRON, V16, P239, DOI 10.1016/S1161-0301(02)00004-7
   Oyekale AS, 2020, DATA BRIEF, V29, DOI 10.1016/j.dib.2020.105275
   Pandey R, 2017, ECOL INDIC, V79, P338, DOI 10.1016/j.ecolind.2017.03.047
   Park SE, 2012, GLOBAL ENVIRON CHANG, V22, P115, DOI 10.1016/j.gloenvcha.2011.10.003
   Piya L, 2013, REG ENVIRON CHANGE, V13, P437, DOI 10.1007/s10113-012-0359-5
   Rahman MW, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12093521
   Riddell W.C., 2006, The Impact of Education on Economic and Social Outcomes: An Overview of Recent Advances in Economics
   Ringler C., 2008, IFPRI Discussion Paper
   Roco L, 2015, REG ENVIRON CHANGE, V15, P867, DOI 10.1007/s10113-014-0669-x
   Shisanya S, 2016, FOOD SECUR, V8, P597, DOI 10.1007/s12571-016-0569-7
   Shrestha S, 2016, MITIG ADAPT STRAT GL, V21, P15, DOI 10.1007/s11027-014-9567-2
   Shukla R, 2019, CLIMATIC CHANGE, V152, P103, DOI 10.1007/s10584-018-2314-z
   Singh S, 2020, ECOL INDIC, V116, DOI 10.1016/j.ecolind.2020.106475
   Subedi YR, 2021, ENVIRON MANAGE, V67, P1100, DOI 10.1007/s00267-021-01461-2
   Thoai TQ, 2018, LAND USE POLICY, V70, P224, DOI 10.1016/j.landusepol.2017.10.023
   Ullah R, 2015, INT J DISAST RISK RE, V13, P151, DOI 10.1016/j.ijdrr.2015.05.005
   Van de Walle Dominique., 2003, Review of Development Economics, V7, P636
   Tu VH, 2018, COGENT FOOD AGR, V4, DOI 10.1080/23311932.2018.1432538
   Waha K, 2018, GLOBAL CHANGE BIOL, V24, P3390, DOI 10.1111/gcb.14158
   Wheeler S, 2013, GLOBAL ENVIRON CHANG, V23, P537, DOI 10.1016/j.gloenvcha.2012.11.008
   Woods BA, 2017, LAND USE POLICY, V65, P109, DOI 10.1016/j.landusepol.2017.04.007
   Wooldridge JM, 2010, ECONOMETRIC ANALYSIS OF CROSS SECTION AND PANEL DATA, 2ND EDITION, P1
   Yang DT, 2002, J DEV ECON, V68, P65, DOI 10.1016/S0304-3878(02)00006-8
   Yegbemey RN, 2013, LAND USE POLICY, V34, P168, DOI 10.1016/j.landusepol.2013.03.001
   Young G, 2009, INSUR MATH ECON, V44, P214, DOI 10.1016/j.insmatheco.2008.11.004
   Zivin JG, 2018, J ASSOC ENVIRON RESO, V5, P77, DOI 10.1086/694177
NR 79
TC 8
Z9 8
U1 1
U2 16
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD DEC
PY 2021
VL 21
IS 4
AR 98
DI 10.1007/s10113-021-01835-6
PG 17
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA WB9JG
UT WOS:000703881000003
DA 2025-01-10
ER

PT J
AU Ogega, OM
   Gyampoh, BA
   Oludhe, C
   Koske, J
   Kungu, JB
AF Ogega, Obed M.
   Gyampoh, Benjamin A.
   Oludhe, Christopher
   Koske, James
   Kungu, James B.
TI Building on foundations for climate services for sustainable
   development: A case of coastal smallholder farmers in Kilifi County,
   Kenya
SO CLIMATE SERVICES
LA English
DT Article
DE Climate change and variability; Climate services; Co-production;
   CORDEX-Africa; Regional climate models; Adaptation
ID CHANGE ADAPTATION; CHALLENGES; FRAMEWORK
AB The study contributes to the development and use of effective climate services for sustainability in agriculture. Specifically, we assessed farming practices of a coastal smallholder farming community in Kilifi County (hereinafter Kilifi), Kenya, to identify barriers to climate services' effective use. The smallholder farmers in Kilifi represent many smallholder farming communities in East Africa whose primary livelihood is rainfed agriculture. First, we carried out an analysis of historical and future rainfall patterns over Kilifi to determine the area's climate patterns. We used a set of five descriptors of rainfall in Kilifi representing seasonal mean daily precipitation and annual precipitation intensity (SDII) and rainy days (R1MM) for the analysis. We assessed March-May (MAM), June-August (JJA), and October-December (OND) seasons, corresponding to the three planting seasons in Kilifi. Here, values for the five descriptors in the historical period (1977-2005) were compared with those in the future period (2071-2099) to determine the potential changes in the rainfall patterns. Results showed high year-to-year rainfall variability, relatively low mean daily rainfall per season, high variability within seasons, and uneven distribution of rainfall within seasons. MAM, OND, and SDII showed an increase in the future period while JJA recorded a considerable reduction in rainfall. No discernible changes were recorded for R1MM. Results from a social survey showed that the smallholder farmers in Kilifi were indeed experiencing climate variability and change. While some effort had been made towards building the farmers' adaptive capacity, the interventions were reported to be too sporadic and inadequately coordinated to achieve meaningful results. Through Focus Group Discussions (FGDs), Key-Informant Interviews (KIIs), and literature review, an innovative climate change adaptation model was developed. Thus, this study provides a preliminary framework for strengthening an enabling environment for climate services for agricultural productivity and sustainable development in a changing climate.
C1 [Ogega, Obed M.; Koske, James; Kungu, James B.] Kenyatta Univ, Sch Environm Studies, Nairobi, Kenya.
   [Ogega, Obed M.] African Acad Sci, 8 Miotoni Lane, Nairobi, Kenya.
   [Gyampoh, Benjamin A.] Kwame Nkrumah Univ Sci & Technol, Fisheries & Watershed Management, Kumasi, Ghana.
   [Oludhe, Christopher] Univ Nairobi, Inst Climate Change & Adaptat, Nairobi, Kenya.
C3 Kenyatta University; Kwame Nkrumah University Science & Technology;
   University of Nairobi
RP Ogega, OM (corresponding author), African Acad Sci, 8 Miotoni Lane, Nairobi, Kenya.
EM o.ogega@aasciences.africa
RI Ogega, Obed/AAY-5081-2021; Gyampoh, Benjamin Apraku/C-3816-2016
OI Gyampoh, Benjamin Apraku/0000-0003-2069-7071; Ogega, Obed
   Matundura/0000-0003-4314-6969
FU Coastal Oceans Research and Development - Indian Ocean (CORDIO) East
   Africa, through the Emerging Knowledge project team; Western Indian
   Ocean Marine Science Association MASMA Programme [MASMA/OP/2013/01]
FX The lead author thanks the Coastal Oceans Research and Development -
   Indian Ocean (CORDIO) East Africa, through the Emerging Knowledge
   project team, for their generous technical, financial, and moral support
   for the fieldwork part of the research. Specifically, the research was
   supported through the Western Indian Ocean Marine Science Association
   MASMA Programme (Grant No. MASMA/OP/2013/01). Contributions of various
   modelling groups participating in CORDEX as outlined in Table 1 as well
   as the producers of CHIRPS data are also acknowledged for making the
   data publicly available. The administration of Kilifi County is
   appreciated for providing information and access to relevant offices and
   smallholder farmers.
CR Alessandro S.D., 2015, KENYA AGR RISK ASSES
   Ampaire EL, 2017, ENVIRON SCI POLICY, V75, P81, DOI 10.1016/j.envsci.2017.05.013
   [Anonymous], 2001, A Climate Services Vision, A Climate Services Vision: First Steps Toward the Future, DOI DOI 10.17226/10198
   [Anonymous], 2018, COUNTY INTEGRATED DE
   [Anonymous], CLIMATE CHANGE 2014
   Bessembinder J, 2019, CLIM SERV, V16, DOI 10.1016/j.cliser.2019.100135
   Cattani E, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10060931
   Dabernig M, 2017, Q J ROY METEOR SOC, V143, P909, DOI 10.1002/qj.2975
   Daniels E, 2020, CLIM SERV, V19, DOI 10.1016/j.cliser.2020.100181
   Dinku T, 2018, Q J ROY METEOR SOC, V144, P292, DOI 10.1002/qj.3244
   Dobardzic S., 2019, 2019 STATE CLIMATE S
   Endris HS, 2013, J CLIMATE, V26, P8453, DOI 10.1175/JCLI-D-12-00708.1
   FAO, 2019, HDB CLIM INF FARM CO
   Funk C, 2015, SCI DATA, V2, DOI 10.1038/sdata.2015.66
   Giorgi F., 2009, Bulletin - World Meteorological Organization, V58, P175
   Global Commission on Adaptation, 2019, AD NOW GLOB CALL LEA
   Gudoshava M, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab6b33
   Hassanali K, 2017, OCEAN COAST MANAGE, V142, P136, DOI 10.1016/j.ocecoaman.2017.04.001
   Hawinkel P, 2016, J GEOPHYS RES-BIOGEO, V121, P2422, DOI 10.1002/2016JG003436
   Hewitt C, 2012, NAT CLIM CHANGE, V2, P831, DOI 10.1038/nclimate1745
   Humphrey N, 1939, E AFRICAN AGR J, V4, P254, DOI [10.1080/03670074.1939.11663871, DOI 10.1080/03670074.1939.11663871]
   Iizumi T, 2015, GLOB FOOD SECUR-AGR, V4, P46, DOI 10.1016/j.gfs.2014.11.003
   International CLIVAR Project Office, 2001, ICPO PUBLICATION SER, P144
   Jiang ZH, 2015, J CLIMATE, V28, P8603, DOI 10.1175/JCLI-D-15-0099.1
   Kalafatis SE, 2015, GLOBAL ENVIRON CHANG, V32, P30, DOI 10.1016/j.gloenvcha.2015.02.007
   Kilifi County, 2013, WAJIR COUNTY REPUBLI
   Kull D., 2016, STRENGTHENING NATL H
   MacLeod D, 2018, WEATHER CLIM EXTREME, V21, P27, DOI 10.1016/j.wace.2018.05.003
   Manez M., 2014, Assessing governance performance
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Meijerink S, 2013, ENVIRON PLANN C, V31, P240, DOI 10.1068/c11129
   MoALF, 2016, KEN COUNT CLIM RISK
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Muthoni FK, 2019, THEOR APPL CLIMATOL, V137, P1869, DOI 10.1007/s00704-018-2712-1
   Naab FZ, 2019, CLIM SERV, V13, P24, DOI 10.1016/j.cliser.2019.01.007
   Nicholson SE, 2017, REV GEOPHYS, V55, P590, DOI 10.1002/2016RG000544
   Obura D., 2017, Reviving the Western Indian Ocean Economy: Actions for a Sustainable Future, DOI DOI 10.2307/20304954
   Ogega OM, 2020, CLIM DYNAM, V55, P993, DOI 10.1007/s00382-020-05309-z
   Ojwang L, 2017, EARTHS FUTURE, V5, P1119, DOI 10.1002/2017EF000595
   Ongugo P.O., 2014, REV KENYAS NATL POLI, DOI [10.17528/cifor/005332, DOI 10.17528/CIFOR/005332]
   Osima S, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaba1b
   Riahi K, 2011, CLIMATIC CHANGE, V109, P33, DOI 10.1007/s10584-011-0149-y
   Samuelsson P, 2011, TELLUS A, V63, P4, DOI 10.1111/j.1600-0870.2010.00478.x
   Scoones I., 1998, Working Paper - Institute of Development Studies, University of Sussex
   Smith R.L, 2010, Determining the sample size. Powerpoint Slides
   Tall A, 2018, CLIM SERV, V11, P1, DOI 10.1016/j.cliser.2018.06.001
   Turnhout E, 2020, CURR OPIN ENV SUST, V42, P15, DOI 10.1016/j.cosust.2019.11.009
   Vaughan C, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.586
   Vaughan C, 2014, WIRES CLIM CHANGE, V5, P587, DOI 10.1002/wcc.290
   Vincent K, 2017, CLIM POLICY, V17, P189, DOI 10.1080/14693062.2015.1075374
   Vogel C, 2019, CLIM SERV, V15, DOI 10.1016/j.cliser.2019.100107
   Yoon PR, 2020, PADDY WATER ENVIRON, V18, P291, DOI 10.1007/s10333-019-00782-7
NR 52
TC 2
Z9 2
U1 1
U2 9
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2405-8807
J9 CLIM SERV
JI Clim. Serv.
PD DEC
PY 2020
VL 20
AR 100200
DI 10.1016/j.cliser.2020.100200
PG 10
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA PH1SK
UT WOS:000600201200008
OA gold
DA 2025-01-10
ER

PT J
AU Murage, P
   Kovats, S
   Sarran, C
   Taylor, J
   McInnes, R
   Hajat, S
AF Murage, Peninah
   Kovats, Sari
   Sarran, Christophe
   Taylor, Jonathon
   McInnes, Rachel
   Hajat, Shakoor
TI What individual and neighbourhood-level factors increase the risk of
   heat-related mortality? A case-crossover study of over 185,000 deaths in
   London using high-resolution climate datasets
SO ENVIRONMENT INTERNATIONAL
LA English
DT Article
ID URBAN; EXPOSURE; HEALTH; ISLAND; VEGETATION; ENGLAND; CITIES; IMPACT;
   WAVE
AB Objective: Management of the natural and built environments can help reduce the health impacts of climate change. This is particularly relevant in large cities where urban heat island makes cities warmer than the surrounding areas. We investigate how urban vegetation, housing characteristics and socio-economic factors modify the association between heat exposure and mortality in a large urban area.
   Methods: We linked 185,397 death records from the Greater London area during May-Sept 2007-2016 to a high resolution daily temperature dataset. We then applied conditional logistic regression within a case-crossover design to estimate the odds of death from heat exposure by individual (age, sex) and local area factors: land-use type, natural environment (vegetation index, tree cover, domestic garden), built environment (indoor temperature, housing type, lone occupancy) and socio-economic factors (deprivation, English language, level of employment and prevalence of ill-health).
   Results: Temperatures were higher in neighbourhoods with lower levels of urban vegetation and with higher levels of income deprivation, social-rented housing, and non-native English speakers. Heat-related mortality increased with temperature increase (Odds Ratio (OR), 95% CI=1.039, 1.036-1.043 per 1 degrees C temperature increase). Vegetation cover showed the greatest modification effect, for example the odds of heat-related mortality in quartiles with the highest and lowest tree cover were OR, 95%CI 1.033, 1.026-1.039 and 1.043, 1.037-1.050 respectively. None of the socio-economic variables were a significant modifier of heat-related mortality.
   Conclusions: We demonstrate that urban vegetation can modify the mortality risk associated with heat exposure. These findings make an important contribution towards informing city-level climate change adaptation and mitigation policies.
C1 [Murage, Peninah; Kovats, Sari; Hajat, Shakoor] London Sch Hyg & Trop Med, HPRU Environm Change & Hlth, London, England.
   [Sarran, Christophe; McInnes, Rachel] Met Off, Exeter, Devon, England.
   [Taylor, Jonathon] UCL, Inst Environm Design & Engn, London, England.
C3 University of London; London School of Hygiene & Tropical Medicine; Met
   Office - UK; University of London; University College London
RP Murage, P (corresponding author), London Sch Hyg & Trop Med, Dept Publ Hlth Soc & Environm PHES, 15-17 Tavistock Pl,Kings Cross, London WC1H 9SH, England.
EM Peninah.Murage@lshtm.ac.uk
RI ; Taylor, Jonathon/B-1558-2018
OI Murage, Peninah/0000-0002-4506-0897; Taylor,
   Jonathon/0000-0003-3485-1404; Kovats, Sari/0000-0002-4823-8099
FU National Institute for Health Research Health Protection Research Unit
   (NIHR HPRU) in Environmental Change and Health at the London School of
   Hygiene and Tropical Medicine; Public Health England (PHE); UK Met
   Office - Wellcome Trust for the 'Complex Urban Systems for
   Sustainability and Health' (CUSSH) project [205207/Z/16/Z,
   209387/Z/17/Z]; Wellcome Trust [205207/Z/16/Z] Funding Source: Wellcome
   Trust; EPSRC [EP/P022405/1] Funding Source: UKRI; MRC [MR/K019341/1]
   Funding Source: UKRI
FX The research was funded by the National Institute for Health Research
   Health Protection Research Unit (NIHR HPRU) in Environmental Change and
   Health at the London School of Hygiene and Tropical Medicine in
   partnership with Public Health England (PHE), and in collaboration with
   the University of Exeter, University College London, and the UK Met
   Office. The views expressed are those of the authors and not necessarily
   those of the NHS, the NIHR, the Department of Health or Public Health
   England.
CR [Anonymous], 2012, CORINE LAND COV
   [Anonymous], 2017, Urban green spaces: a brief for action
   [Anonymous], 2008, Heat-health action plan: Guidance
   Bluesky, NAT TREE MAP SPEC
   Bundle N, 2018, PUBLIC HEALTH, V161, P147, DOI 10.1016/j.puhe.2017.12.016
   Ca VT, 1998, ENERG BUILDINGS, V29, P83, DOI 10.1016/S0378-7788(98)00032-2
   Copernicus Global Land Service, 2015, NORMALIZED DIFFERENC
   Crouse DL, 2017, LANCET PLANET HEALTH, V1, pE289, DOI 10.1016/S2542-5196(17)30118-3
   Department for Communities and Local Government, EN PERF CERT
   Department for Environment Food and Rural Affairs D, RUR POP MIGR
   Forestry Commission, 2013, AIR TEMPERATURE REGU
   Gascon M, 2016, ENVIRON INT, V86, P60, DOI 10.1016/j.envint.2015.10.013
   Government HM, 2018, A Green Future: Our 25 Year Plan to Improve the Environment
   Greater London Authority, 2017, LOND ENV STRAT
   Hajat S, 2007, OCCUP ENVIRON MED, V64, P93, DOI 10.1136/oem.2006.029017
   Hajat S, 2006, EPIDEMIOLOGY, V17, P632, DOI 10.1097/01.ede.0000239688.70829.63
   Hamada S, 2010, URBAN FOR URBAN GREE, V9, P15, DOI 10.1016/j.ufug.2009.10.002
   Ingole V, 2017, INT J BIOMETEOROL, V61, P1797, DOI 10.1007/s00484-017-1363-8
   Jaakkola JJK, 2003, EUR RESPIR J, V21, p81S, DOI 10.1183/09031936.03.00402703
   Jenkins K, 2014, CLIMATIC CHANGE, V124, P105, DOI 10.1007/s10584-014-1105-4
   Johnson Helen, 2005, Health Stat Q, P6
   Kovats R., 2016, UK CLIMATE CHANGE RI
   Kovats RS, 2008, ANNU REV PUBL HEALTH, V29, P41, DOI 10.1146/annurev.publhealth.29.020907.090843
   Lauwaet D, 2015, CLIMATE, V3, P391, DOI 10.3390/cli3020391
   Mavrogianni A, 2014, BUILD ENVIRON, V78, P183, DOI 10.1016/j.buildenv.2014.04.008
   McInnes RN, 2017, SCI TOTAL ENVIRON, V599, P483, DOI 10.1016/j.scitotenv.2017.04.136
   MEDMI, 2017, MEDMI CONN HLTH ENV
   Mitchell R, 2008, LANCET, V372, P1655, DOI 10.1016/S0140-6736(08)61689-X
   Oikonomou E, 2012, BUILD ENVIRON, V57, P223, DOI 10.1016/j.buildenv.2012.04.002
   Perry M, 2005, INT J CLIMATOL, V25, P1041, DOI 10.1002/joc.1161
   Robine JM, 2008, CR BIOL, V331, P171, DOI 10.1016/j.crvi.2007.12.001
   Sera F., 2019, INT J EPIDEMIOL
   Smargiassi A, 2009, J EPIDEMIOL COMMUN H, V63, P659, DOI 10.1136/jech.2008.078147
   Smith KR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P709
   Son JY, 2016, ENVIRON RES, V151, P728, DOI 10.1016/j.envres.2016.09.001
   Symonds P, 2016, J BUILD PERFORM SIMU, V9, P606, DOI 10.1080/19401493.2016.1166265
   Taylor J, 2015, URBAN CLIM, V14, P517, DOI 10.1016/j.uclim.2015.08.001
   Vandentorren S, 2006, EUR J PUBLIC HEALTH, V16, P583, DOI 10.1093/eurpub/ckl063
   White-Newsome JL, 2012, ENVIRON RES, V112, P20, DOI 10.1016/j.envres.2011.10.008
   Whitmee S, 2015, LANCET, V386, P1973, DOI 10.1016/S0140-6736(15)60901-1
   Wilby RL., 2003, WEATHER, V58, P251, DOI [DOI 10.1256/WEA.183.02, 10.1256/wea.183.02]
   Wilkinson P., 1986, COLD COMFORT SOCIAL
   Xu YH, 2013, J EPIDEMIOL COMMUN H, V67, P519, DOI 10.1136/jech-2012-201899
NR 43
TC 54
Z9 59
U1 5
U2 50
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0160-4120
EI 1873-6750
J9 ENVIRON INT
JI Environ. Int.
PD JAN
PY 2020
VL 134
AR 105292
DI 10.1016/j.envint.2019.105292
PG 7
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA JU0BE
UT WOS:000501344500092
PM 31726356
OA Green Published, Green Accepted, gold
DA 2025-01-10
ER

PT J
AU Carr, ER
AF Carr, Edward R.
TI Properties and projects: Reconciling resilience and transformation for
   adaptation and development
SO WORLD DEVELOPMENT
LA English
DT Article
DE Resilience; Livelihoods; Adaptation; Development; Socio-ecology
ID CLIMATE-CHANGE ADAPTATION; ENVIRONMENTAL-CHANGE; INTERNATIONAL
   DEVELOPMENT; ECOLOGICAL RESILIENCE; INTIMATE GOVERNMENT; AGRARIAN
   SETTINGS; DISASTER RISK; LIVELIHOODS; GENDER; VULNERABILITY
AB Resilience has surged to the forefront of conversations in the increasingly intertwined development and adaptation communities of practice. However, their use of this concept lacks an implementable vision of the connection between resilience and the sorts of transformations that are central to their goals. Instead, these communities implicitly privilege stability and persistence, a framing that neither represents the current state of resilience thinking in the literature, nor addresses the substantial body of critique concerned with the lack of attention to agency, power, and difference in resilient systems. In this paper, I argue that this state of affairs is a symptom of an approach to transformation in practice that lacks an explicit theorization of agency, power, and difference in socio-ecological resilience. To address this issue, I offer one such theorization, framing resilience as the outcome of context-specific socio-ecological projects manifest in livelihoods and aimed at achieving safety and stability for the widest number of people. By employing the Livelihoods as Intimate Government approach, which makes power relations, social difference, and agency central to explanations of observed livelihoods decisions and outcomes, this theorization identifies dynamics of socio-ecological resilience distinct from those of purely ecological resilience. I illustrate these distinctions through various cases in the literature, including studies of development projects, agrarian livelihoods, and socio-ecological system dynamics, and from these illustrations suggest larger lessons about socio-ecological resilience. Among these lessons is a clear message for the development and adaptation communities of practice: the path to the transformative goals of these communities lies in a focus on alleviating shocks and stresses on socio-ecological projects, as opposed to merely addressing their material outcomes. (C) 2019 Elsevier Ltd. All rights reserved.
C1 [Carr, Edward R.] Clark Univ, Int Dev Community & Environm Dept, 950 Main St, Worcester, MA 01610 USA.
   [Carr, Edward R.] Clark Univ, George Perkins Marsh Inst, Humanitarian Response & Dev Lab, 950 Main St, Worcester, MA 01610 USA.
C3 Clark University; Clark University
RP Carr, ER (corresponding author), Clark Univ, Int Dev Community & Environm Dept, 950 Main St, Worcester, MA 01610 USA.; Carr, ER (corresponding author), Clark Univ, George Perkins Marsh Inst, Humanitarian Response & Dev Lab, 950 Main St, Worcester, MA 01610 USA.
EM edcarr@clarku.edu
RI Carr, Edward/A-7206-2009
OI Carr, Edward/0000-0001-7784-471X; Varela, Juan
   Carlos/0000-0003-1480-0837
FU ESRC [ES/S007687/1] Funding Source: UKRI
CR Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Agrawal A, 2005, CURR ANTHROPOL, V46, P161, DOI 10.1086/427122
   Allen CR, 2010, ECOL SOC, V15
   [Anonymous], COLLAPSE
   [Anonymous], 2005, International Journal (Toronto
   [Anonymous], 2012, BUILDING RESILIENCE
   [Anonymous], 225 CTR GLOB DEV
   Appadurai A, 2002, PUBLIC CULTURE, V14, P21, DOI 10.1215/08992363-14-1-21
   Armitage D, 2006, ECOL SOC, V11
   Armitage D, 2012, ECOL SOC, V17, DOI 10.5751/ES-04940-170415
   Arora-Jonsson S, 2011, GLOBAL ENVIRON CHANG, V21, P744, DOI 10.1016/j.gloenvcha.2011.01.005
   Bahadur A. V., 2015, BRACED KNOWLEDGE MAN, V57
   Barrett CB, 2014, P NATL ACAD SCI USA, V111, P14625, DOI 10.1073/pnas.1320880111
   Bebbington A, 1999, WORLD DEV, V27, P2021, DOI 10.1016/S0305-750X(99)00104-7
   Becker LC, 2000, HUM ECOL, V28, P219, DOI 10.1023/A:1007020104053
   Bee B., 2013, RES ACTION POLICY AD, P95, DOI DOI 10.1007/978-94-007-5518-5_7
   Béné C, 2014, J INT DEV, V26, P598, DOI 10.1002/jid.2992
   Béné C, 2011, GLOBAL ENVIRON CHANG, V21, P1173, DOI 10.1016/j.gloenvcha.2011.07.002
   Beymer-Farris B.A., 2012, RESILIENCE CULTURAL, P283, DOI [DOI 10.1017/CBO9781139107778.020, 10.1017/CBO9781139107778.020]
   Boyd E., 2008, Development (London), V51, P390, DOI 10.1057/dev.2008.32
   Boyd E, 2013, NAT CLIM CHANGE, V3, P631, DOI 10.1038/NCLIMATE1856
   Brouwer R, 2007, RISK ANAL, V27, P313, DOI 10.1111/j.1539-6924.2007.00884.x
   Brown K, 2014, PROG HUM GEOG, V38, P107, DOI [10.1177/0309132513498837, 10.1177/0361684313496549]
   Brown K, 2011, ANNU REV ENV RESOUR, V36, P321, DOI 10.1146/annurev-environ-052610-092905
   Brown Katrina., 2016, RESILIENCE DEV GLOBA
   Cannon T, 2010, NAT HAZARDS, V55, P621, DOI 10.1007/s11069-010-9499-4
   Carney J., 2004, Liberation ecologies, environment, development, social movements, P316
   Carney J. A., 1998, Agriculture and Human Values, V15, P325, DOI 10.1023/A:1007580801416
   Carney J. A., 1996, Liberation ecologies: environment, development, social movements., P165
   Carpenter SR, 2005, ECOSYSTEMS, V8, P941, DOI 10.1007/s10021-005-0170-y
   Carr E.R., 2015, ASSESSING MALIS AGEN
   Carr ER, 2018, CLIM RISK MANAG, V22, P82, DOI 10.1016/j.crm.2017.03.002
   Carr Edward R, 2015, Jamba, V7, P201, DOI 10.4102/jamba.v7i1.201
   Carr ER, 2016, WEATHER CLIM SOC, V8, P247, DOI 10.1175/WCAS-D-15-0075.1
   Carr ER, 2016, AREA, V48, P7, DOI 10.1111/area.12179
   Carr ER, 2014, APPL GEOGR, V52, P110, DOI 10.1016/j.apgeog.2014.04.012
   Carr ER, 2014, GEOGR COMPASS, V8, P182, DOI 10.1111/gec3.12121
   Carr ER, 2013, THIRD WORLD Q, V34, P77, DOI 10.1080/01436597.2012.755012
   Carr ER, 2009, GEOFORUM, V40, P568, DOI 10.1016/j.geoforum.2009.04.010
   Carr ER, 2008, GLOBAL ENVIRON CHANG, V18, P689, DOI 10.1016/j.gloenvcha.2008.06.004
   Carr EdwardR., 2011, Delivering Development: Globalization's shoreline and the road to a sustainable future
   Chambers R., 1997, Whose reality counts? : putting the first last.
   Chambers R., 1991, IDS Discussion Paper, V296, P1
   Chambers Robert., 2008, Revolutions in development inquiry
   Chayanov Alexander., 1986, THEORY PEASANT EC
   Cote M, 2012, PROG HUM GEOG, V36, P475, DOI 10.1177/0309132511425708
   Coulthard S, 2012, ECOL SOC, V17, DOI 10.5751/ES-04483-170104
   Coulthard S, 2011, GLOBAL ENVIRON CHANG, V21, P453, DOI 10.1016/j.gloenvcha.2011.01.003
   Cretney R, 2014, GEOGR COMPASS, V8, P627, DOI 10.1111/gec3.12154
   Crona B, 2010, ECOL SOC, V15
   Cumming GS, 2016, TRENDS ECOL EVOL, V31, P622, DOI 10.1016/j.tree.2016.04.009
   Davidson DJ, 2010, SOC NATUR RESOUR, V23, P1135, DOI 10.1080/08941921003652940
   Davies M, 2013, DEV POLICY REV, V31, P27, DOI 10.1111/j.1467-7679.2013.00600.x
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   DEAN M., 2010, GOVT POWER RULE MODE
   Downing T.E., 1997, MITIG ADAPT STRAT GL, V2, P19, DOI DOI 10.1007/BF02437055
   Duit A, 2010, GLOBAL ENVIRON CHANG, V20, P363, DOI 10.1016/j.gloenvcha.2010.04.006
   Escobar Arturo., 2011, Encountering Development: The Making and Unmaking of the Third World, DOI 10.1515/9781400839926
   Ferguson J., 1994, Ecologist, V24, P176
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Folke C, 2010, ECOL SOC, V15
   Forsyth T, 2018, WORLD DEV, V111, P13, DOI 10.1016/j.worlddev.2018.06.023
   Foucault M, 2007, MICHEL FOUCAULT: SECURITY, TERRITORY, POPULATION, 1977-78, P1, DOI 10.1057/9780230245075
   Frankenberger T., 2017, RESILIENCE METHODOLO
   Gaillard JC, 2010, J INT DEV, V22, P218, DOI 10.1002/jid.1675
   Gelcich S, 2010, P NATL ACAD SCI USA, V107, P16794, DOI 10.1073/pnas.1012021107
   Grigsby W. J., 2002, Agriculture and Human Values, V19, P151, DOI 10.1023/A:1016070712223
   Grigsby WJ, 2004, SOC NATUR RESOUR, V17, P207, DOI 10.1080/08941920490270230
   Grist N, 2014, RESILIENCE SAHEL BUI
   Gunderson L. H., 2002, Panarchy: understanding transformations in human and natural systems
   Gunderson LH, 2000, ANNU REV ECOL SYST, V31, P425, DOI 10.1146/annurev.ecolsys.31.1.425
   Haan N, 2012, GLOB FOOD SECUR-AGR, V1, P74, DOI 10.1016/j.gfs.2012.09.003
   Hacking I., 1991, FOUCAULT EFFECT, P181
   Haider LJ, 2012, PLAN THEORY PRACT, V13, P312
   Harris LM, 2006, ENVIRON PLANN D, V24, P187, DOI 10.1068/d03k
   Hobbs C, 2012, GLOB FOOD SECUR-AGR, V1, P50, DOI 10.1016/j.gfs.2012.07.005
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holling CS, 2001, ECOSYSTEMS, V4, P390, DOI 10.1007/s10021-001-0101-5
   Holling CS., 2002, PANARCHY UNDERSTANDI, P63
   Hughes TP, 2013, TRENDS ECOL EVOL, V28, P149, DOI 10.1016/j.tree.2012.08.022
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Jerneck A, 2008, CLIM POLICY, V8, P170, DOI 10.3763/cpol.2007.0434
   Joseph J, 2013, RESILIENCE, V1, P38, DOI 10.1080/21693293.2013.765741
   Kelman I., 2016, LEARNING HIST DISAST
   Kelman I, 2015, INT J DISAST RISK SC, V6, P21, DOI 10.1007/s13753-015-0038-5
   Lade SJ, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1603043
   Lautze S, 2012, GLOB FOOD SECUR-AGR, V1, P43, DOI 10.1016/j.gfs.2012.07.006
   Lebel L, 2006, ECOL SOC, V11
   MacKinnon D, 2013, PROG HUM GEOG, V37, P253, DOI 10.1177/0309132512454775
   Majid N, 2012, GLOB FOOD SECUR-AGR, V1, P36, DOI 10.1016/j.gfs.2012.07.003
   Matin N, 2018, WORLD DEV, V109, P197, DOI 10.1016/j.worlddev.2018.04.020
   Mendoza CAS, 2015, MISC GEOGR, V19, P9, DOI 10.1515/mgrsd-2015-0025
   Michelson H, 2018, WORLD DEV, V101, P377, DOI 10.1016/j.worlddev.2017.06.002
   Mitchell T., 2012, OVERSEAS DEV I WORKI
   Mitchell T., 2002, Rule of experts: Egypt, technopolitics, modernity
   Mitchell Timothy., 1995, POWER DEV, P129
   Nadasdy Paul., 2007, ADAPTIVE COMANGAGEME, P208
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   O'Brien K, 2012, PROG HUM GEOG, V36, P667, DOI 10.1177/0309132511425767
   O'Brien KL, 2000, GLOBAL ENVIRON CHANG, V10, P221, DOI 10.1016/S0959-3780(00)00021-2
   Okpara U. T., 2016, REGIONAL ENV CHANGE
   Orlove B, 2005, ENVIRON SCI POLICY, V8, P589, DOI 10.1016/j.envsci.2005.06.009
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Pelling M, 2011, ECOL SOC, V16
   Perez C, 2015, GLOBAL ENVIRON CHANG, V34, P95, DOI 10.1016/j.gloenvcha.2015.06.003
   Perry DL, 2005, ETHNOLOGY, V44, P207, DOI 10.2307/3774056
   Peterson G, 1998, ECOSYSTEMS, V1, P6, DOI 10.1007/s100219900002
   Porter L, 2012, PLAN THEORY PRACT, V13, P593, DOI 10.1080/14649357.2012.731210
   Pronyk PM, 2012, LANCET, V379, P2179, DOI 10.1016/S0140-6736(12)60207-4
   ROSE N, 1993, ECON SOC, V22, P283, DOI 10.1080/03085149300000019
   ROSTOW WW, 1959, ECON HIST REV, V12, P1
   Sachs JD, 2004, BROOKINGS PAP ECO AC, P117
   Sachs JD, 2005, LANCET, V365, P347, DOI 10.1016/S0140-6736(05)70201-4
   Sallu SM, 2010, ECOL SOC, V15
   Scheffer M, 2001, NATURE, V413, P591, DOI 10.1038/35098000
   Scheffer M, 2015, ANNU REV ECOL EVOL S, V46, P145, DOI 10.1146/annurev-ecolsys-112414-054242
   Scheffer M, 2012, SCIENCE, V338, P344, DOI 10.1126/science.1225244
   Schipper E., 2007, Climate change adaptation and development: Exploring the linkages
   Schipper L, 2006, DISASTERS, V30, P19, DOI 10.1111/j.1467-9523.2006.00304.x
   Scoones I, 2009, J PEASANT STUD, V36, P171, DOI 10.1080/03066150902820503
   Scott James C, 2020, SEEING STATE CERTAIN
   Scott JamesC., 1977, MORAL EC PEASANT REB
   Standish RJ, 2014, BIOL CONSERV, V177, P43, DOI 10.1016/j.biocon.2014.06.008
   Suding KN, 2009, TRENDS ECOL EVOL, V24, P271, DOI 10.1016/j.tree.2008.11.012
   Sudmeier-Rieux KI, 2014, DISASTER PREV MANAG, V23, P67, DOI 10.1108/DPM-12-2012-0143
   Sultana F., 2013, PROF GEOGR, P1
   Tanner T, 2015, NAT CLIM CHANGE, V5, P23, DOI 10.1038/NCLIMATE2431
   Tschakert P., 2013, GEOGR TIDSSKR-DEN, V112, P144
   Tschakert P, 2012, ETHICS SOC WELF, V6, P275, DOI 10.1080/17496535.2012.704929
   Villanueva P. S., 2017, BRACED KNOWLEDGE MAN, V123
   Walker B., 2004, Ecology and Society, V9, P5
   Walker B., 2004, DATABASE, V9
   Walker B, 2006, ECOL SOC, V11
   Walker B, 2010, CROP SCI, V50, pS10, DOI 10.2135/cropsci2009.10.0565
   Wanjala BM, 2013, WORLD DEV, V45, P147, DOI 10.1016/j.worlddev.2012.12.014
   Warner MW, 1997, DEV CHANGE, V28, P143, DOI 10.1111/1467-7660.00038
   Weichselgartner J, 2015, PROG HUM GEOG, V39, P249, DOI 10.1177/0309132513518834
NR 138
TC 76
Z9 85
U1 4
U2 49
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0305-750X
EI 1873-5991
J9 WORLD DEV
JI World Dev.
PD OCT
PY 2019
VL 122
BP 70
EP 84
DI 10.1016/j.worlddev.2019.05.011
PG 15
WC Development Studies; Economics
WE Social Science Citation Index (SSCI)
SC Development Studies; Business & Economics
GA IS6ER
UT WOS:000482245600006
DA 2025-01-10
ER

PT J
AU Eckhart, T
   Pötzelsberger, E
   Koeck, R
   Thom, D
   Lair, GJ
   van Loo, M
   Hasenauer, H
AF Eckhart, Tamara
   Poetzelsberger, Elisabeth
   Koeck, Roland
   Thom, Dominik
   Lair, Georg J.
   van Loo, Marcela
   Hasenauer, Hubert
TI Forest stand productivity derived from site conditions: an assessment of
   old Douglas-fir stands (Pseudotsuga menziesii (Mirb.) Franco var.
   menziesii) in Central Europe
SO ANNALS OF FOREST SCIENCE
LA English
DT Article
DE Non-native tree species; Climate change adaptation; Site conditions;
   Site index
ID COMPLEX TERRAIN; WATER-DEFICIT; GROWTH; MANAGEMENT; INDEX
AB Key messageDouglas-fir growth correlates with the climate, the soil moisture regime, and the soil nutrient status, reflecting a broad physiological amplitude. Even though planting this non-native tree species is suggested as a viable strategy to improve adaptiveness of European forests to a more extreme climate and to assure future productivity, the expected temperature increase may induce a decline in forest stand productivity for Douglas-fir in already warm and dry regions.ContextTree species selection is one of the most important forest management decisions to enhance forest productivity and stand stability on a given site. Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco var. menziesii), a non-native species from north-western America, is seen as an important additional species option for adapting Central European forests to a changing climate.AimsThis study assesses Douglas-fir forest productivity derived from site conditions. We investigate climatic and physico-chemical soil characteristics and productivity of 28 mature Douglas-fir stands growing on siliceous, as well as carbonate bedrock material in southern Germany and north-eastern Austria.MethodsThe importance of climatic and physico-chemical soil characteristics was analyzed with the machine learning method Random Forests.ResultsThe results show that Douglas-fir growth correlates with climate, soil moisture, and soil nutrient availability derived from ten climatic and physico-chemical soil parameters.ConclusionThe broad pH optimum between 4.5 and 7.2 reflects the broad physiological amplitude of Douglas-fir, and no significant differences were detectable between carbonate and siliceous bedrock. We also conclude that climate change may induce a forest stand productivity decline, because lower productivity with the highest mean summer temperature across our study range was observed at the warmest sites in Eastern Austria.
C1 [Eckhart, Tamara; Poetzelsberger, Elisabeth; Koeck, Roland; Thom, Dominik; Hasenauer, Hubert] Univ Nat Resources & Life Sci, Inst Silviculture, A-1190 Vienna, Austria.
   [Eckhart, Tamara] alpS GmbH, A-6020 Innsbruck, Austria.
   [Thom, Dominik] Rubenstein Sch Environm & Nat Resources, Burlington, VT 05405 USA.
   [Lair, Georg J.] Univ Nat Resources & Life Sci, Inst Soil Res, A-1190 Vienna, Austria.
   [van Loo, Marcela] Univ Vienna, Dept Bot & Biodivers Res, A-1030 Vienna, Austria.
C3 BOKU University; BOKU University; University of Vienna
RP Pötzelsberger, E (corresponding author), Univ Nat Resources & Life Sci, Inst Silviculture, A-1190 Vienna, Austria.
EM elisabeth.poetzelsberger@boku.ac.at
RI Pötzelsberger, Elisabeth/AAN-5163-2020; Eckhart, Tamara/ABF-4381-2020;
   Thom, Dominik/AAE-5649-2020
OI Thom, Dominik/0000-0001-8091-6075; /0000-0001-7176-2967; Schatzdorfer,
   Elisabeth/0000-0001-8965-5633
FU Austrian Research Promotion Agency; Austrian Science Fund (FWF)
   [P26504]; Arenberg-Schleiden GmbH; Center Forst GmbH; Erzbischofliches
   Forstamt Kirchberg; Esterhazy Betriebe GmbH; Forstamt Ottenstein;
   Forstamt Stift Gottweig; Forstverwaltung Grafenegg; Forstverwaltung Graf
   zu Toerring-Jettenbach; Furstliche Forstverwaltung Waldburg-Wolfegg;
   Furst Starhemberg'sche Familienstiftung; Furst zu
   Oettingen-Spielberg'sche Forstverwaltung; Grafliche Arco-Zinneberg'sche
   Domanenverwaltung; Grune Lagune BIO-EN Energy Consulting GmbH;
   Gutsverwaltung Bubna-Litic; Habsburg-Lothringen'sches Gut Persenbeug;
   Hatschek Forste; Hoyos'sche Forstverwaltung Horn; Land and Forstbetriebe
   Niederosterreich; Landwirtschaftskammer Niederosterreich;
   Landwirtschaftskammer Osterreich; LIECO GmbH Co KG; Montecuccoli Gut
   Mitterau; Osterreichische Bundesforste AG; Thurn und Taxis Forste GmbH
   Co KG; Unternehmensgruppe Furst von Hohenzollern-FORST; Waldgut
   Pleiderer GesmbH Co OG; Wittgenstein-Berleburg'sche Rentkammer; Austrian
   Science Fund (FWF) [P26504] Funding Source: Austrian Science Fund (FWF)
FX This work was supported by the Austrian Research Promotion Agency as
   part of the alpS project B04 AdaptAF B and CCDouglas II, and Austrian
   Science Fund (FWF) [Project ID: P26504]. We thank the Arenberg-Schleiden
   GmbH, Center Forst GmbH, Erzbischofliches Forstamt Kirchberg, Esterhazy
   Betriebe GmbH, Forstamt Ottenstein, Forstamt Stift Gottweig,
   Forstverwaltung Grafenegg, Forstverwaltung Graf zu Toerring-Jettenbach,
   Furstliche Forstverwaltung Waldburg-Wolfegg, Furst Starhemberg'sche
   Familienstiftung, Furst zu Oettingen-Spielberg'sche Forstverwaltung,
   Grafliche Arco-Zinneberg'sche Domanenverwaltung, Grune Lagune BIO-EN
   Energy Consulting GmbH, Gutsverwaltung Bubna-Litic,
   Habsburg-Lothringen'sches Gut Persenbeug, Hatschek Forste, Hoyos'sche
   Forstverwaltung Horn, Land and Forstbetriebe Niederosterreich,
   Landwirtschaftskammer Niederosterreich, Landwirtschaftskammer
   Osterreich, LIECO GmbH & Co KG, Montecuccoli Gut Mitterau,
   Osterreichische Bundesforste AG, Thurn und Taxis Forste GmbH & Co KG,
   Unternehmensgruppe Furst von Hohenzollern-FORST, Waldgut Pleiderer
   GesmbH & Co OG, and Wittgenstein-Berleburg'sche Rentkammer for financial
   support (listed in alphabetic order).
CR Aertsen W, 2010, ECOL MODEL, V221, P1119, DOI 10.1016/j.ecolmodel.2010.01.007
   [Anonymous], 2008, Plant Physiological Ecology
   [Anonymous], 2005, Austrian J. Sci.
   Bastien J-C., 2013, FOREST TREE BREEDING, P325, DOI [10.1007/978-94-007-6146-9_7, DOI 10.1007/978-94-007-6146-9_7]
   Bergel D., 1985, DOUGLASIEN ERTRAGSTA
   Bitterlich W., 1948, Allg. Forst- u. Holzw. Ztg., V59, P4
   Bolte A, 2010, MANAG FOR ECOSYST, V19, P115, DOI 10.1007/978-90-481-3301-7_8
   Bontemps JD, 2014, FORESTRY, V87, P109, DOI 10.1093/forestry/cpt034
   Breiman L., 2001, Machine Learning, V45, P5, DOI 10.1023/A:1010933404324
   CARTER RE, 1990, FOREST ECOL MANAG, V30, P301, DOI 10.1016/0378-1127(90)90144-Z
   Chakraborty D, 2016, EUR J FOREST RES, V135, P919, DOI 10.1007/s10342-016-0984-5
   CLAPP RB, 1978, WATER RESOUR RES, V14, P601, DOI 10.1029/WR014i004p00601
   COSBY BJ, 1984, WATER RESOUR RES, V20, P682, DOI 10.1029/WR020i006p00682
   Curt T, 2001, FOREST ECOL MANAG, V149, P61, DOI 10.1016/S0378-1127(00)00545-4
   Cutler DR, 2007, ECOLOGY, V88, P2783, DOI 10.1890/07-0539.1
   Dormann CF, 2013, ECOGRAPHY, V36, P27, DOI 10.1111/j.1600-0587.2012.07348.x
   Eckenwalder J.E., 2009, Conifers of the World
   Eckhart T, 2019, DF SITE GROWTH DATA, DOI [10.6084/m9.figshare.7553384.v1, DOI 10.6084/M9.FIGSHARE.7553384.V1]
   Englisch M, 1999, FBVA BERICHTE
   Englisch M, 2008, BFW PRAXISINFORMATIO, V16, P6
   Fageria N.K., 2014, Nitrogen management in crop production
   Fontes L, 2010, FOREST SYST, V19, P8
   Genuer R, 2015, R J, V7, P19
   George E, 2012, MARSCHNER'S MINERAL NUTRITION OF HIGHER PLANTS, 3RD EDITION, P409, DOI 10.1016/B978-0-12-384905-2.00017-0
   Gould PJ, 2012, TREE PHYSIOL, V32, P1482, DOI 10.1093/treephys/tps106
   Hasenauer H, 2003, AGR FOREST METEOROL, V119, P87, DOI 10.1016/S0168-1923(03)00114-X
   Hauptautoren R, 2014, SYNTH BEITR ARB 1 2
   Hawkesford MJ, 2006, PLANT CELL ENVIRON, V29, P382, DOI 10.1111/j.1365-3040.2005.01470.x
   Hintsteiner WJ, 2018, EUR J FOREST RES, V137, P447, DOI 10.1007/s10342-018-1115-2
   Jansen K, 2013, TREES-STRUCT FUNCT, V27, P37, DOI 10.1007/s00468-012-0765-9
   KLEINSCHMIT J, 1979, SILVAE GENET, V28, P226
   KLEINSCHMIT J, 1992, SILVAE GENET, V41, P161
   Kownatzki D, 2011, LANDBAUFORSCH-VTI AG, V344, P1
   Lambers H, 2006, ANN BOT-LONDON, V98, P693, DOI 10.1093/aob/mcl114
   Lavender D.P., 2014, Douglas-Fir: The Genus Pseudotsuga, DOI DOI 10.1073/PNAS.1031755100
   Leitgeb E, 2012, WALDBODEN BILDATLAS
   Liaw A, 2015, BREIMAN CUTLERS RAND
   LWF, 2008, LWF WISSEN
   Olden JD, 2008, Q REV BIOL, V83, P171, DOI 10.1086/587826
   Osman K.T., 2013, Forest Soils: Properties and Management
   Petritsch R, 2002, THESIS
   Petritsch R, 2014, NAT HAZARDS, V70, P1749, DOI 10.1007/s11069-011-9880-y
   Pollanschutz J, 1971, 100 JAHRE HOCHSCHULE, VIVTI, P355
   Restaino CM, 2016, P NATL ACAD SCI USA, V113, P9557, DOI 10.1073/pnas.1602384113
   Rout G.R., 2015, REV AGR SCI, V3, P1, DOI [10.7831/ras.3.1, DOI 10.7831/RAS.3.1]
   Rowell D. L., 1994, BODENKUNDE UNTERSUCH
   Ruetz WF, 1981, ALLGEMEINE FORSTZEIT, V36, P1074
   Scheffer F., 2010, Lehrbuch der Bodenkunde
   Schmid M, 2014, EUR J FOREST RES, V133, P13, DOI 10.1007/s10342-013-0745-7
   Schultze U, 2002, FBVA BERICHTE
   Spiecker H., 2019, Douglas-fir-an option for Europe
   Thornton PE, 2000, AGR FOREST METEOROL, V104, P255, DOI 10.1016/S0168-1923(00)00170-2
   Wei enbacher L, 2008, BFW PRAXISINMATIO, V16, P3
   Winjum JK, 1999, PLANTET FORESTS CONT
NR 54
TC 35
Z9 36
U1 0
U2 14
PU SPRINGER FRANCE
PI PARIS
PA 22 RUE DE PALESTRO, PARIS, 75002, FRANCE
SN 1286-4560
EI 1297-966X
J9 ANN FOREST SCI
JI Ann. For. Sci.
PD MAR
PY 2019
VL 76
IS 1
AR 19
DI 10.1007/s13595-019-0805-3
PG 11
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA HM3NI
UT WOS:000459380200001
PM 30881192
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Chen, J
   Yin, S
   Gebhardt, H
   Yang, XJ
AF Chen, Jia
   Yin, Sha
   Gebhardt, Hans
   Yang, Xinjun
TI Farmers' livelihood adaptation to environmental change in an arid
   region: A case study of the Minqin Oasis, northwestern China
SO ECOLOGICAL INDICATORS
LA English
DT Article
DE Adaptation strategies; Livelihood; Government policy; Adaptive capacity;
   Environmental change; Adaptation outcome
ID SOCIAL-ECOLOGICAL SYSTEMS; CLIMATE-CHANGE ADAPTATION; RURAL LIVELIHOODS;
   ADAPTIVE CAPACITY; OKAVANGO DELTA; GLOBAL CHANGE; VULNERABILITY;
   FRAMEWORK; DROUGHT; STRATEGIES
AB Adaption to global environmental change is a focus of sustainability research. Farmers face multiple environmental and social pressures due to global environmental change. Effective livelihood changes must be taken to decrease asset losses and to adapt to current or future environmental challenges. However, there are few studies that systematically understand and assess farmers' livelihood adaptation. We developed an integrated analytical framework for livelihood adaptation and explored the relationships between adaptive capacity, adaptation outcomes, and farmers' adaptation strategies. We applied this framework to a case study of the Minqin Oasis in China and assessed the livelihood adaptation of farmers facing environmental change and water scarcity. Household surveys and semi-structured interviews were used for data collection. We found that (1) farmers' livelihood adaptation choices were limited due to current govemment policies and their own resources and (2) livelihood adaptive capacity (such as land, water resources, and social networks) and policy reform (water resource fees, and cultivated land compression) had a key impact on farmers' adaptation. The factors representing a poor livelihood strategy and adaptation outcomes of the farmer include the following: (1) a low level of livelihood awareness among farmers (such as passive fanners), (2) a lack of livelihood assets, (3) government focus on environmental recovery, and (4) a weakened role of the market. To improve the adaptation of farmers' livelihoods to environmental change, these measures must balance the relationship between environmental restoration and farmers' livelihoods, consider a variety of key forces, and guide farmers to adopt effective strategies. This study facilitates the development of livelihood adaptation analysis methods for global change studies. Case-based research results can be used to improve local decision-making and can provide an assessment reference method for farmer adaptation to regional and global environmental change.
C1 [Chen, Jia; Yin, Sha; Yang, Xinjun] Northwest Univ, Coll Urban & Environm Sci, Xue Fu Ave 1, Xian 710127, Shaanxi, Peoples R China.
   [Chen, Jia; Yang, Xinjun] Northwest Univ, Shaanxi Key Lab Earth Surface Syst & Environm Car, Xian 710127, Shaanxi, Peoples R China.
   [Gebhardt, Hans] Heidelberg Univ, Dept Geog, Berliner Str 48, D-69120 Heidelberg, Germany.
C3 Northwest University Xi'an; Northwest University Xi'an; Ruprecht Karls
   University Heidelberg
RP Yang, XJ (corresponding author), Northwest Univ, Coll Urban & Environm Sci, Xue Fu Ave 1, Xian 710127, Shaanxi, Peoples R China.
EM yangxj@nwu.edu.cn
RI yang, xinjun/LQJ-0350-2024
FU National Natural Science Foundation of China [41571163]; Northwest
   University Doctorate Dissertation of Excellence Funds [YYB17016];
   Humanities and Social Science Talent Plan in Shaanxi Province, China
   (HSSTP); Minqin local government
FX This study was supported by the National Natural Science Foundation of
   China (No. 41571163), Northwest University Doctorate Dissertation of
   Excellence Funds (No. YYB17016) and Humanities and Social Science Talent
   Plan in Shaanxi Province, China (HSSTP). We would like to thank Kongsen
   Wu, Qian Liu, Lili Xia, Ruixuan Yu, Lingxin Zhai and Bo Li for
   contributing to the household survey and data collection. Furthermore,
   we are grateful for the effective coordination of the Minqin local
   government and the support from local farmers in our survey. The authors
   would like to express their appreciation to anonymous reviewers for the
   insightful comments that improved this manuscript.
CR Abid M, 2016, SCI TOTAL ENVIRON, V547, P447, DOI 10.1016/j.scitotenv.2015.11.125
   Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Adger WN, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P717
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Alam GMM, 2016, ECOL ECON, V130, P243, DOI 10.1016/j.ecolecon.2016.07.012
   Alam K, 2015, AGR WATER MANAGE, V148, P196, DOI 10.1016/j.agwat.2014.10.011
   Alauddin M, 2014, ECOL ECON, V106, P204, DOI 10.1016/j.ecolecon.2014.07.025
   [Anonymous], 2002, CHIN STAT YB
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   Burton I, 1997, CLIMATIC CHANGE, V36, P185, DOI 10.1023/A:1005334926618
   Butler JRA, 2014, GLOBAL ENVIRON CHANG, V28, P368, DOI 10.1016/j.gloenvcha.2013.12.004
   Carr ER, 2008, GLOBAL ENVIRON CHANG, V18, P689, DOI 10.1016/j.gloenvcha.2008.06.004
   Chen C, 2016, ENVIRON SCI POLICY, V66, P403, DOI 10.1016/j.envsci.2016.05.007
   Chen H, 2014, GLOBAL ENVIRON CHANG, V24, P193, DOI 10.1016/j.gloenvcha.2013.11.010
   Danfeng S., 2006, CHINA J ENV MANAGE, V79, P348
   Dessai S, 2005, GLOBAL ENVIRON CHANG, V15, P87, DOI 10.1016/j.gloenvcha.2004.12.004
   DFID, 2001, Sustainable livelihoods guidance sheets, P68
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   Fankhauser S, 1999, ECOL ECON, V30, P67, DOI 10.1016/S0921-8009(98)00117-7
   Fazey I, 2010, GLOBAL ENVIRON CHANG, V20, P713, DOI 10.1016/j.gloenvcha.2010.04.011
   Feike T, 2017, AGR WATER MANAGE, V187, P1, DOI 10.1016/j.agwat.2017.03.012
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Haglund E, 2011, J ENVIRON MANAGE, V92, P1696, DOI 10.1016/j.jenvman.2011.01.027
   Hogue S. F., 2017, REG ENVIRON CHANGE
   Holling CS, 2001, ECOSYSTEMS, V4, P390, DOI 10.1007/s10021-001-0101-5
   Kalaugher E, 2013, ENVIRON MODELL SOFTW, V39, P176, DOI 10.1016/j.envsoft.2012.03.018
   Khayyati M, 2016, ECOL INDIC, V69, P850, DOI 10.1016/j.ecolind.2016.05.039
   Larsen JN, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1567
   Li F., 2014, REG ENVIRON CHANGE, V15, P695
   Li X., 2008, DEC SCI I 2008 ANN M
   McCubbin S, 2015, GLOBAL ENVIRON CHANG, V30, P43, DOI 10.1016/j.gloenvcha.2014.10.007
   Mortimore MJ, 2001, GLOBAL ENVIRON CHANG, V11, P49, DOI 10.1016/S0959-3780(00)00044-3
   Motsholapheko MR, 2011, PHYS CHEM EARTH, V36, P984, DOI 10.1016/j.pce.2011.08.004
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Nelson DR, 2011, WIRES CLIM CHANGE, V2, P113, DOI 10.1002/wcc.91
   Nicholas KA, 2012, GLOBAL ENVIRON CHANG, V22, P483, DOI 10.1016/j.gloenvcha.2012.01.001
   Oberlack C, 2016, GLOBAL ENVIRON CHANG, V41, P153, DOI 10.1016/j.gloenvcha.2016.10.001
   Osbahr H, 2008, GEOFORUM, V39, P1951, DOI 10.1016/j.geoforum.2008.07.010
   Pandey VP, 2011, ECOL INDIC, V11, P480, DOI 10.1016/j.ecolind.2010.07.003
   Parry M., 1998, Climate impact and adaptation assessment
   Perry RI, 2010, CURR OPIN ENV SUST, V2, P356, DOI 10.1016/j.cosust.2010.10.004
   Polsky C, 2007, GLOBAL ENVIRON CHANG, V17, P472, DOI 10.1016/j.gloenvcha.2007.01.005
   Quirog S, 2015, ENVIRON SCI POLICY, V45, P53, DOI 10.1016/j.envsci.2014.09.007
   Reed MS, 2013, ECOL ECON, V94, P66, DOI 10.1016/j.ecolecon.2013.07.007
   Scoones I, 2009, J PEASANT STUD, V36, P171, DOI 10.1080/03066150902820503
   SHANNON CE, 1948, BELL SYST TECH J, V27, P379, DOI DOI 10.1002/J.1538-7305.1948.TB01338.X
   Shinn JE, 2016, GLOBAL ENVIRON CHANG, V40, P50, DOI 10.1016/j.gloenvcha.2016.06.011
   Shuiabi E, 2005, EUR J OPER RES, V165, P696, DOI 10.1016/j.ejor.2004.01.033
   Smit B., 1999, MITIG ADAPT STRAT GL, V4, P199, DOI [10.1023/a:1009652531101, DOI 10.1023/A:1009652531101, https://doi.org/10.1023/A:1009652531101]
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smithers J, 1997, GLOBAL ENVIRON CHANG, V7, P129, DOI 10.1016/S0959-3780(97)00003-4
   Snorek J, 2014, GLOBAL ENVIRON CHANG, V29, P371, DOI 10.1016/j.gloenvcha.2014.06.014
   Speranza CI, 2014, GLOBAL ENVIRON CHANG, V28, P109, DOI 10.1016/j.gloenvcha.2014.06.005
   Thomas DSG, 2005, GLOBAL ENVIRON CHANG, V15, P115, DOI 10.1016/j.gloenvcha.2004.10.001
   Nguyen TT, 2015, ECOL ECON, V120, P282, DOI 10.1016/j.ecolecon.2015.11.001
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8080, DOI 10.1073/pnas.1231334100
   Warrick O, 2017, REG ENVIRON CHANGE, V17, P1039, DOI 10.1007/s10113-016-1036-x
   Watson RT, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, pIX
   [尹莎 Yin Sha], 2016, [地理科学进展, Progress in Geography], V35, P644
   [喻忠磊 Yu Zhonglei], 2013, [地理学报, Acta Geographica Sinica], V68, P1143
   Zhang JY, 2016, LAND USE POLICY, V56, P8, DOI 10.1016/j.landusepol.2016.04.009
   Zhang K, 2011, J DESERT RES, V31, P1149
   [张强 Zhang Qiang], 2015, [地球科学进展, Advance in Earth Sciences], V30, P196
   Zhang T. R., 2010, J DESERT RES, V30
   [赵雪雁 Zhao Xueyan], 2015, [地理研究, Geographical Research], V34, P922
NR 68
TC 62
Z9 69
U1 10
U2 120
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1470-160X
EI 1872-7034
J9 ECOL INDIC
JI Ecol. Indic.
PD OCT
PY 2018
VL 93
BP 411
EP 423
DI 10.1016/j.ecolind.2018.05.017
PG 13
WC Biodiversity Conservation; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA HD6XC
UT WOS:000452692600043
DA 2025-01-10
ER

PT J
AU Parente, J
   Pereira, MG
   Amraoui, M
   Fischer, EM
AF Parente, J.
   Pereira, M. G.
   Amraoui, M.
   Fischer, E. M.
TI Heat waves in Portugal: Current regime, changes in future climate and
   impacts on extreme wildfires
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Heat wave; Extreme wildfire; Climate variability; Climate change;
   Portugal
ID MODEL PROJECTIONS; EXCESS MORTALITY; UNITED-STATES; FOREST-FIRES; HOT
   SUMMER; TEMPERATURE; PATTERNS; PRECIPITATION; EUROPE; REANALYSIS
AB Heat waves (HW) can have devastating social, economic and environmental impacts. Together with long-term drought, they are the main factors contributing to wildfires. Surprisingly, the quantitative and objective analysis leading to the identification and characterization of HW in current and future climate conditions as well as its influence on the occurrence of extreme wildfires (EW) has never been performed for Portugal and are the main objectives of this study. For this reason, we assess HW in recent past and future climate based on a consistent high resolution meteorological database and have compared their occurrence with long and reliable, precise and detailed information about Portuguese fire events. Results include the characterization of HW frequency, duration, seasonality and intensity for current and different future climate conditions and their relationship with EW occurrence. We detected 130 HW between 1981 and 2010, concentrated between May and October and highest values in July and August. The highest HW number and duration is found over the Northeast corner and the south of the country while highest amplitudes are typically located in central area. HW characteristics present high inter-annual variability but are clearly associated to the temporal and spatial distribution of EW: 97% of total number of EW were active during an HW, 90% of total EW days were also HW days; 82% of the EW had duration completely contained in the duration of an HW; and, 83% of EW occurred during and in the area affected by HW. Our results also show that HW should increase in number, duration and amplitude, more significantly for RCP 8.5, and for the 30-year periods near the end of the 21st century. Findings of this study will support the definition of climate change adaptation strategies for fire danger and risk management. (C) 2018 Elsevier B.V. All rights reserved.
C1 [Parente, J.; Pereira, M. G.; Amraoui, M.] Univ Tras Os Montes & Alto Douro, CITAB, Ctr Res & Technol Agroenvironm & Biol Sci, Vila Real, Portugal.
   [Fischer, E. M.] Swiss Fed Inst Technol, Inst Atmospher & Climate Sci, Zurich, Switzerland.
   [Pereira, M. G.] Univ Lisbon, Fac Ciencias, Inst Dom Luiz, Lisbon, Portugal.
C3 University of Tras-os-Montes & Alto Douro; Swiss Federal Institutes of
   Technology Domain; ETH Zurich; Universidade de Lisboa
RP Parente, J (corresponding author), Univ Tras Os Montes & Alto Douro, P-5000801 Vila Real, Portugal.
EM joanaparente@utad.pt; gpereira@utad.pt; malik@utad.pt;
   erich.fischer@env.ethz.ch
RI Fischer, Erich/B-6067-2011; Amraoui, Malik/A-2801-2013; Pereira,
   Mario/J-7248-2013; Parente, Joana/L-7601-2017
OI Amraoui, Malik/0000-0003-1394-3166; Fischer, Erich/0000-0003-1931-6737;
   Pereira, Mario/0000-0001-6603-7453; Parente, Joana/0000-0001-5490-7095
FU European Regional Development Fund (ERDF) through the COMPETE -
   Operational Program Competitiveness and Internationalization (POCI)
   [16702]; FCT-Portuguese Foundation for Science and Technology
   [PTDC/ATPGEO/0462/2014]; Project Interact - Integrative Research in
   Environment, Agro-Chain and Technology [NORTE-01-0145-FEDER-000017];
   FEDER/NORTE; European Investment Funds by FEDER/COMPETE/POCI-Operational
   Competitiveness and Internationalization Programme
   [POCI-01-0145-FEDER-006958]; FCT - Portuguese Foundation for Science and
   Technology [UID/AGR/04033/2013]
FX This work was prepared in the frame of project FIREXTR - Prevent and
   prepare society for extreme fire events: the challenge of seeing the
   "forest" and not just the "trees", co-financed by the European Regional
   Development Fund (ERDF) through the COMPETE 2020 - Operational Program
   Competitiveness and Internationalization (POCI Ref: 16702) and national
   funds by FCT-Portuguese Foundation for Science and Technology (FCT Ref:
   PTDC/ATPGEO/0462/2014). The study was also supported by: i) Project
   Interact - Integrative Research in Environment, Agro-Chain and
   Technology, NORTE-01-0145-FEDER-000017, research line BEST, co-funded by
   FEDER/NORTE 2020; and, ii) European Investment Funds by
   FEDER/COMPETE/POCI-Operational Competitiveness and Internationalization
   Programme, under Project POCI-01-0145-FEDER-006958 and National Funds by
   FCT - Portuguese Foundation for Science and Technology, under the
   project UID/AGR/04033/2013. We are especially grateful to ICNF for
   providing the fire data and to Joao Pereira for the final spelling and
   grammar review of the manuscript.
CR Anderson GB, 2011, ENVIRON HEALTH PERSP, V119, P210, DOI 10.1289/ehp.1002313
   Andrade C, 2014, ATMOS SCI LETT, V15, P149, DOI 10.1002/asl2.485
   Bador M, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa751c
   Ballester J, 2010, CLIM DYNAM, V35, P1191, DOI 10.1007/s00382-009-0641-5
   Barbero R, 2015, INT J CLIMATOL, V35, P2180, DOI 10.1002/joc.4090
   Barnes EA, 2014, GEOPHYS RES LETT, V41, P638, DOI 10.1002/2013GL058745
   Barriopedro D, 2006, J CLIMATE, V19, P1042, DOI 10.1175/JCLI3678.1
   Barriopedro D, 2011, SCIENCE, V332, P220, DOI 10.1126/science.1201224
   Bedia Jimenez J., 2012, SENSITIVITY FIRE WEA
   Bedia J, 2015, AGR FOREST METEOROL, V214, P369, DOI 10.1016/j.agrformet.2015.09.002
   Bengtsson L., 2004, J GEOPHYS RES ATMOS, V109
   Beniston M, 2004, GEOPHYS RES LETT, V31, DOI 10.1029/2003GL018857
   Blarquez O, 2015, SCI REP-UK, V5, DOI 10.1038/srep13356
   Boschat G, 2015, CLIM DYNAM, V44, P1823, DOI 10.1007/s00382-014-2214-5
   Cai M, 2005, J CLIMATE, V18, P1844, DOI 10.1175/JCLI3347.1
   Chung U, 2014, WEATHER CLIM EXTREME, V5-6, P67, DOI 10.1016/j.wace.2014.07.002
   COGECA C, 2003, COMM AGR ORG EUR UNI, V15
   Costa L, 2011, REG ENVIRON CHANGE, V11, P543, DOI 10.1007/s10113-010-0169-6
   Couto M.A., 2011, Atlas Climatico Iberico
   Cowan T, 2014, J CLIMATE, V27, P5851, DOI 10.1175/JCLI-D-14-00092.1
   D'Ippoliti D, 2010, ENVIRON HEALTH-GLOB, V9, DOI 10.1186/1476-069X-9-37
   Dasari H.P., 2014, Atmos Clim Sci, V4, P841, DOI [DOI 10.4236/ACS.2014.45074, 10.4236/acs.2014.45074]
   DeBono A., 2004, UN Environment Programme (UNEP) Report, DOI 10.1017/S0147547903000218
   Dee DP, 2011, Q J ROY METEOR SOC, V137, P553, DOI 10.1002/qj.828
   Della-Marta PM, 2007, J GEOPHYS RES-ATMOS, V112, DOI 10.1029/2007JD008510
   Della-Marta PM, 2007, CLIM DYNAM, V29, P251, DOI 10.1007/s00382-007-0233-1
   Dessai S, 2002, INT J BIOMETEOROL, V47, P6, DOI 10.1007/s00484-002-0143-1
   DGS, 2013, REL OND CAL 23 06 20
   Dhainaut JF, 2004, CRIT CARE, V8, P1, DOI 10.1186/cc2404
   Duchez A, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/7/074004
   Ferreira-Leite F, 2017, AGR FOREST METEOROL, V247, P551, DOI 10.1016/j.agrformet.2017.08.033
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fischer EM, 2010, NAT GEOSCI, V3, P398, DOI 10.1038/NGEO866
   Fischer E.M., 2007, GEOPHYS RES LETT, V34, pL06707, DOI DOI 10.1029/2006GL027992
   Flannigan MD, 2016, CLIMATIC CHANGE, V134, P59, DOI 10.1007/s10584-015-1521-0
   Fouillet A, 2006, INT ARCH OCC ENV HEA, V80, P16, DOI 10.1007/s00420-006-0089-4
   García-Herrera R, 2010, CRIT REV ENV SCI TEC, V40, P267, DOI 10.1080/10643380802238137
   García-Herrera R, 2007, J HYDROMETEOROL, V8, P483, DOI 10.1175/JHM578.1
   Gehrig R, 2006, AEROBIOLOGIA, V22, P27, DOI 10.1007/s10453-005-9013-8
   Gouveia CM, 2016, AGR FOREST METEOROL, V218, P135, DOI 10.1016/j.agrformet.2015.11.023
   Gronlund CJ, 2014, ENVIRON HEALTH PERSP, V122, P1187, DOI 10.1289/ehp.1206132
   Gruber S, 2004, GEOPHYS RES LETT, V31, DOI 10.1029/2004GL020051
   Haeberli W., 2004, Geophysical Research Abstracts, P3063
   Hernandez C, 2015, NAT HAZARD EARTH SYS, V15, P1331, DOI 10.5194/nhess-15-1331-2015
   Jacob D, 2014, REG ENVIRON CHANGE, V14, P563, DOI 10.1007/s10113-013-0499-2
   Jolly WM, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms8537
   Kottek M, 2006, METEOROL Z, V15, P259, DOI 10.1127/0941-2948/2006/0130
   Krueger O, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/1/014002
   Landelius T, 2016, Q J ROY METEOR SOC, V142, P2132, DOI 10.1002/qj.2813
   Le Page Y, 2008, ATMOS CHEM PHYS, V8, P1911, DOI 10.5194/acp-8-1911-2008
   Lustenberger A, 2014, INT J CLIMATOL, V34, P18, DOI 10.1002/joc.3659
   MANN HB, 1947, ANN MATH STAT, V18, P50, DOI 10.1214/aoms/1177730491
   Maraun D, 2019, INT J CLIMATOL, V39, P3786, DOI 10.1002/joc.5222
   Marto Natalia, 2005, Acta Med Port, V18, P467
   McGregor G.R., 2015, Heatwaves and health: guidance on warning-system development
   Miller NL, 2008, J APPL METEOROL CLIM, V47, P1834, DOI 10.1175/2007JAMC1480.1
   Miralles DG, 2014, NAT GEOSCI, V7, P345, DOI [10.1038/ngeo2141, 10.1038/NGEO2141]
   Monteiro A, 2014, ERDE, V145, P80
   Monteiro A, 2013, INT J BIOMETEOROL, V57, P155, DOI 10.1007/s00484-012-0543-9
   Ouzeau G., 2016, Climate Services, V4, P1, DOI 10.1016/j.cliser.2016.09.002
   Parente J, 2016, SCI TOTAL ENVIRON, V573, P883, DOI 10.1016/j.scitotenv.2016.08.164
   Parente J, 2016, SCI TOTAL ENVIRON, V559, P151, DOI 10.1016/j.scitotenv.2016.03.129
   Pereira MG, 2011, NAT HAZARD EARTH SYS, V11, P3343, DOI 10.5194/nhess-11-3343-2011
   Pereira MG, 2014, FOREST SYST, V23, P598, DOI 10.5424/fs/2014233-06115
   Pereira MG, 2013, CLIM RES, V57, P187, DOI 10.3354/cr01176
   Pereira MG, 2015, CIM SER MATH SCI, V2, P263, DOI 10.1007/978-3-319-16121-1_12
   Pereira MG, 2005, AGR FOREST METEOROL, V129, P11, DOI 10.1016/j.agrformet.2004.12.007
   Perkins SE, 2013, J CLIMATE, V26, P4500, DOI 10.1175/JCLI-D-12-00383.1
   Perkins SE, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL053361
   Pfeifer S, 2015, ATMOSPHERE-BASEL, V6, P677, DOI 10.3390/atmos6050677
   Rebetez M, 2009, THEOR APPL CLIMATOL, V95, P1, DOI 10.1007/s00704-007-0370-9
   Rebetez M, 2006, ANN FOREST SCI, V63, P569, DOI 10.1051/forest:2006043
   Russo S, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/12/124003
   Russo S, 2014, J GEOPHYS RES-ATMOS, V119, P12500, DOI 10.1002/2014JD022098
   Santo FE, 2014, INT J CLIMATOL, V34, P1814, DOI 10.1002/joc.3803
   Santos JA, 2013, MON WEATHER REV, V141, P3626, DOI 10.1175/MWR-D-13-00024.1
   Sousa P. M., 2017, CLIM DYNAM, P1
   Sousa P. M., 2017, NO HEMISPHERE BLOCKI
   Sousa PM, 2016, CLIM DYNAM, V46, P2573, DOI 10.1007/s00382-015-2718-7
   Spinoni J, 2015, J HYDROL-REG STUD, V3, P509, DOI 10.1016/j.ejrh.2015.01.001
   Stéfanon M, 2014, CLIM DYNAM, V42, P1309, DOI 10.1007/s00382-013-1794-9
   Stefanon M, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/1/014023
   Tedim F, 2018, FIRE-BASEL, V1, DOI 10.3390/fire1010009
   Telesca L, 2010, NAT HAZARD EARTH SYS, V10, P661, DOI 10.5194/nhess-10-661-2010
   Trigo RM, 2006, INT J CLIMATOL, V26, P1741, DOI 10.1002/joc.1333
   Trigo RM, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL022410
   Trigo RM, 2004, INT J CLIMATOL, V24, P925, DOI 10.1002/joc.1048
   van der Velde M, 2010, AGR ECOSYST ENVIRON, V135, P90, DOI 10.1016/j.agee.2009.08.017
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P5, DOI [10.1007/s10584-011-0148-z, 10.1007/s10584-011-0157-y]
   Vautard R, 2013, CLIM DYNAM, V41, P2555, DOI 10.1007/s00382-013-1714-z
   WCRP CORDEX, 2016, 1 BIAS ADJ CORDEX DA
   WILCOXON F, 1946, J ECON ENTOMOL, V39, P269, DOI 10.1093/jee/39.2.269
   WMO, 2016, GUID DEF MON EXTR WE
   Yang W, 2010, HYDROL RES, V41, P211, DOI 10.2166/nh.2010.004
   You QL, 2010, GLOBAL PLANET CHANGE, V71, P124, DOI 10.1016/j.gloplacha.2010.01.020
NR 95
TC 87
Z9 98
U1 4
U2 68
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD AUG 1
PY 2018
VL 631-632
BP 534
EP 549
DI 10.1016/j.scitotenv.2018.03.044
PG 16
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA GG1UC
UT WOS:000432471900055
PM 29529441
DA 2025-01-10
ER

PT J
AU Zheng, HC
   Barta, D
   Zhang, XD
AF Zheng, Haochi
   Barta, David
   Zhang, Xiaodong
TI Lesson learned from adaptation response to Devils Lake flooding in North
   Dakota, USA
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Devils lake; Flooding; Adaptation; Risk management; Perception; Climate
   change
ID CLIMATE-CHANGE
AB The water level of Devils Lake, a terminal lake in the northeast of North Dakota, U.S., has risen nearly 10 m since 1993, inundating farm land and causing significant damages to the infrastructure and surrounding communities. The currently adopted flood adaptation policy is continuing infrastructural protection (CIP), under which the infrastructure, such as levees or roads, is raised gradually in response to the rising water. Since the Devils Lake city and the adjacent communities are built within the historical confines of the lake, we introduce and estimate potential costs of two diametrical, but long-term targeted adaptation strategies involving either buyout or relocation (B/R) to contrast against the CIP. The comparison shows that B/R, while more expensive initially, would be cheaper than CIP accumulated over longer term. We further explore the reason that policymakers prefer CIP: the near-term uncertainty regarding the future lake levels has led to significant discount of long-term potential risk. With future risk significantly discounted, not only B/R, but any other alternatives that feature long-term perspective, could become less attractive than CIP. Were we able to predict the flooding more accurately or willing to discount future less, we might have chosen a different plan of action. The ultimate choice of CIP among the possible adaptation options reveals that policymakers have privileged the present and favored near-term remedies instead of long-term solutions. Although certainly not on the same scale, the lesson we have learned in dealing with Devils Lake has far-reaching implications on climate change adaptation strategies. The passive decision to wait and ignore the full potential for disaster ultimately leaves us with no other option, but to continue to "wait and see" and then spend more.
C1 [Zheng, Haochi; Zhang, Xiaodong] Univ N Dakota, Dept Earth Syst Sci & Policy, Grand Forks, ND 58202 USA.
   [Barta, David] US Dept Interior, Washington, DC 20240 USA.
C3 University of North Dakota Grand Forks; United States Department of the
   Interior
RP Zheng, HC (corresponding author), Univ N Dakota, Dept Earth Syst Sci & Policy, Grand Forks, ND 58202 USA.
EM hzheng@aero.und.edu
RI Zheng, Haochi/E-5895-2019
FU NASA [NNX10AH20G, NNX09AQ81G, NNX09AO 06G]; EPSCoR; Office Of The
   Director [0814442] Funding Source: National Science Foundation; NASA
   [NNX09AQ81G, 104040] Funding Source: Federal RePORTER
FX Funding for this work was provided by NASA under contracts NNX10AH20G,
   NNX09AQ81G, and NNX09AO 06G. The authors thank Bonnie Greenleaf and Bill
   Csajko from the U.S. Army Corps of Engineers, Michael Noone and Carolyn
   Merbach from the North Dakota State Water Commission, Dale Ihry and Jim
   Jost from the North Dakota State Farm Service Agency, and Cecily Fong
   from the North Dakota Department of Emergency Services for providing
   data, information, and insights. We thank Douglas Tiffany from the
   University of Minnesota, and North Dakota State Water Commission for
   providing valuable feedback on an earlier version of this manuscript.
   Two anonymous reviewers have provided valuable comments, which allowed
   us to further improved the manuscript.
CR Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Barr Engineering Company, 2003, DEV LAK INFR PROT ST, P135
   Bluemle JP, 1981, ORIGINS DEVILS LAKE
   Conner M, 2006, DEVILS LAKE BASIN WA, P50
   Cox B, 2006, FINAL PROGRAMMATIC E
   Federal Highway Administration, 2006, PRIC TRENDS FED AID
   Federal Interagency Devils Lake working group, 2010, REP FED INT DEV LAK
   Fong C., 2010, NDDES public assistance funding - 1999 to 2010
   Kautzman G., 2010, State and federal roads
   Loss D, 2003, FINAL INTEGRATED PLA
   Martinson G, 2010, CITY DEVILS LAKE TAX
   Nelson SM, 2011, COUNTY CITY ROADS N
   Noone M.S., 2012, Memo on Devils Lake flood expenditures estimated by ND State Water Commission and the U.S. Army Corps
   Nordhaus W, 2007, SCIENCE, V317, P201, DOI 10.1126/science.1137316
   North Dakota State Water Commission, 2010, REP DEV LAK BAS TECH, P30
   Passfield RW, 2001, DUFFS DITCH ORIGINS
   Pearson G.L., 2003, Comments of the national wildlife federation on the U.S. army corps of engineers's 2003 final Devils Lake, North Dakota
   Perry CA, 2005, SUMMARY SIGNIFICANT, P5194
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Rau D., 2010, 2009 construction costs for new developments in grand forks, North Dakota, V1st
   Stern N, 2007, SCIENCE, V317, P203, DOI 10.1126/science.1142920
   Stern N, 2008, AM ECON REV, V98, P1, DOI 10.1257/aer.98.2.1
   The Devils Lake Basin Joint Water Resource Board, 2009, PREV BAS PROJ
   Tietenberg T.H., 2009, ENV NATURAL RESOURCE, VEighth
   U.S. Army Corps of Engineers, 1996, DEV LAK N DAK EM OUT
   Vecchia A.V., 2008, Climate Simulation and Flood Risk Analysis for 2008-2040 for Devils Lake, North Dakota
   Vecchia AV, 2011, CUMULATIVE FLOOD ELE
   Vecchia AV, 2002, 024042 US GEOL SURV, P144
   Wiche GJ, 1995, 95123 US GEOL SURV N, P7
   Wiche GJ, 1994, WATER RESOURCES INVE
   Wiche GJ, 1996, LAKE LEVEL FREQUENCY, P68
NR 31
TC 15
Z9 18
U1 0
U2 20
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD FEB
PY 2014
VL 14
IS 1
SI SI
BP 185
EP 194
DI 10.1007/s10113-013-0474-y
PG 10
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA AD4ZV
UT WOS:000333261900016
DA 2025-01-10
ER

PT J
AU Ghahramani, A
   Moore, AD
AF Ghahramani, Afshin
   Moore, Andrew D.
TI Impact of climate changes on existing crop-livestock farming systems
SO AGRICULTURAL SYSTEMS
LA English
DT Article
DE Mixed farm systems; Complex system; Modelling; APSIM; GRAZPLAN; AusFarm;
   CO2
ID OPTIMIZING GRAIN-YIELD; HIGH-RAINFALL ZONE; ELEVATED CO2; SIMULATION;
   PRODUCTIVITY; PASTURE; AGRICULTURE; MANAGEMENT; AUSTRALIA; GRASSLANDS
AB The state of Western Australia is a major producer and exporter of crops and livestock. Mixed farming systems are typical agricultural enterprises in the Western Australian wheatbelt where climate drives the productivity and profitability of these farms and therefore the effects of likely climate change on their performance need to be understood. Here the effects of climate change projected at 2030 were evaluated compared to a baseline period (1980-1999) on mixed farming systems at paddock, enterprise and whole farm scales using the coupled APSIM and GRAZPLAN biophysical simulation models. The yield of different crops, livestock production and gross margins were assessed under current and projected climates using current farming technology and management practices. Representative mixed-farm systems were selected along a climate transect. Modelling analysis suggests that current production levels and gross margins of mixed farm systems in Western Australia will not be sustained in 2030 climate conditions except in areas of moderately high-rainfall. Whole farm gross margin declined at all site x potential climate scenarios between 1% and 22% except in moderately high rainfall where gross margin increased by up to 4% under a 'hot and moderate change in rainfall' climate. Projected crop yields declined for most of the crop x site x potential climate combinations, with greatest declines under a hot and dry climate (at driest margin of transect) in which wheat, barley, canola, and lupin yield declined up to 16%, 15%, 21%, and 27%, respectively. Increase in yield was predicted for wheat and barley at some of the site x potential climate s. Wheat yield increased only under moderately high rainfall region by 6% while barley increased by 1%. Simulated cropping gross margin was also shown to decline by between >1% and 23%, except for the moderately high rainfall site where cropping gross margins were projected to increase by up to 3%. Changes in simulated livestock production were smaller and less variable than for crop production. The change in weight of livestock sold across sites x potential climate combinations ranged between -3% and +3%. Livestock gross margin varied between -11% and +6%. Modelling results indicated a greater fertilisation effect of the elevated CO2 on pasture production than on crop yield and biomass particularly in drier sites. But however, this could not offset negative impact of climate change under hot potential climates. The main negative environmental impacts from the projected climate change were declines in annual net primary production (ANPP), ground cover and water use efficiency mostly at drier sites. Whole farm N2O emission declined significantly for the majority of site x potential climate combinations, while smaller decreases in ruminant CH4 emission were predicted. In 2030, returns from livestock enterprises are predicted to be smaller, but less variable than from cropping and with increasing probability of success in drier regions. Reduced variability in financial return is important from the perspective of whole farm risk management. Shifts in enterprise mix in dryland mixed-farming systems towards increased livestock may be a helpful strategy in adapting to climate change and managing the associated financial risks. Crown Copyright (C) 2016 Published by Elsevier Ltd. All rights reserved.
C1 [Ghahramani, Afshin; Moore, Andrew D.] CSIRO Agr, GPO Box 1600, Canberra, ACT 2601, Australia.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO)
RP Ghahramani, A (corresponding author), CSIRO Agr Plant & Soil Modelling Grp, GPO Box 1600, Canberra, ACT 2601, Australia.
EM af.ghahramani@csiro.au
RI Moore, Andrew/D-3418-2009; Ghahramani, Afshin/C-4169-2012
OI Moore, Andrew/0000-0002-5675-4720; Ghahramani,
   Afshin/0000-0002-9648-4606
FU Australian Government's Department of Agriculture and Water Resources;
   Australian Wool Innovation; Steven Crimp of CSIRO; Meat & Livestock
   Australia
FX The Australian Government's Department of Agriculture and Water
   Resources, Meat & Livestock Australia, and Australian Wool Innovation
   funded this research through the Filling the Research Gap program. We
   acknowledge support from Steven Crimp of CSIRO and his valuable
   recommendations on projected climate scenarios. We acknowledge valuable
   input from the Department of Agriculture and Food of Western Australia,
   the Facey and the Liebe group and farmers around Merredin in specifying
   the representative farming systems. We also acknowledge valuable
   discussions with David Bowran, Caroline Peek, Vanessa Stewart, Jaron
   Leask, Jeremy Lemon, and other research and extension officers of the
   Department of Agriculture and Food of Western Australia. Finally, we
   thank anonymous reviewers for their useful comments.
CR Ainsworth EA, 2008, NEW PHYTOL, V179, P5, DOI 10.1111/j.1469-8137.2008.02500.x
   Alcock DJ, 2011, ANIM FEED SCI TECH, V166-67, P749, DOI 10.1016/j.anifeedsci.2011.04.053
   Anderson LJ, 2001, GLOBAL CHANGE BIOL, V7, P693, DOI 10.1046/j.1354-1013.2001.00438.x
   [Anonymous], AGR SYST
   [Anonymous], PLANFARM BANKWEST BE
   [Anonymous], WP321 CSIRO
   [Anonymous], P 13 AUSTR AGR C W A
   [Anonymous], AUST COMMOD FORECAST
   [Anonymous], BETTER FARM FINANCE
   [Anonymous], COOPERATIVE BU UNPUB
   [Anonymous], CROPS
   [Anonymous], AUSTR AGR RES EC SOC
   [Anonymous], AUSTR FARM SURV REP
   [Anonymous], CONSISTENT CLIMATE S
   [Anonymous], AUSTR FARM SURV REP
   [Anonymous], 1983, LIMITATIONS EFFICIEN
   [Anonymous], 15 AUSTR AGR C LINC
   [Anonymous], J R SOC INTERFACE
   [Anonymous], CAP GRIM BAS AIR POL
   [Anonymous], NATL SOIL CARBON RES
   [Anonymous], PAST
   Asseng S, 2013, NAT CLIM CHANGE, V3, P827, DOI [10.1038/nclimate1916, 10.1038/NCLIMATE1916]
   Asseng S, 2004, FIELD CROP RES, V85, P85, DOI 10.1016/S0378-4290(03)00154-0
   Barton L, 2008, GLOBAL CHANGE BIOL, V14, P177, DOI 10.1111/j.1365-2486.2007.01474.x
   Bell LW, 2015, CROP PASTURE SCI, V66, P332, DOI 10.1071/CP14230
   Bell LW, 2012, AGR SYST, V111, P1, DOI 10.1016/j.agsy.2012.04.003
   Campbell BD, 2000, AGR ECOSYST ENVIRON, V82, P39, DOI 10.1016/S0167-8809(00)00215-2
   Cullen BR, 2009, CROP PASTURE SCI, V60, P933, DOI 10.1071/CP09019
   Delworth TL, 2014, NAT GEOSCI, V7, P583, DOI 10.1038/NGEO2201
   Delworth TL, 2006, J CLIMATE, V19, P643, DOI 10.1175/JCLI3629.1
   Donnelly JR, 2002, AGR SYST, V74, P115, DOI 10.1016/S0308-521X(02)00024-0
   Ducharne A, 2007, SCI TOTAL ENVIRON, V375, P292, DOI 10.1016/j.scitotenv.2006.12.011
   Fischer T, 2014, ACIAR MONOGR SER, V158, P1
   Ghahramani A, 2015, AGR ECOSYST ENVIRON, V211, P112, DOI 10.1016/j.agee.2015.05.011
   Ghahramani A, 2015, AGR SYST, V133, P158, DOI 10.1016/j.agsy.2014.11.003
   Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383
   Hatfield JL, 2011, AGRON J, V103, P351, DOI 10.2134/agronj2010.0303
   Holzworth DP, 2014, ENVIRON MODELL SOFTW, V62, P327, DOI 10.1016/j.envsoft.2014.07.009
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Keyzer MA, 2005, ECOL ECON, V55, P187, DOI 10.1016/j.ecolecon.2004.12.002
   KIMBALL BA, 1983, AGRON J, V75, P779, DOI 10.2134/agronj1983.00021962007500050014x
   Kirkegaard J.A., 2011, Rainfed Farming Systems, P715
   Ko JH, 2012, CLIMATIC CHANGE, V111, P445, DOI [10.1007/s10584-011-0175-9, 10.1007/S10584-011-0175-9]
   Kokic P, 2013, CLIM DYNAM, V41, P853, DOI 10.1007/s00382-013-1791-z
   Lenton TM, 2011, NAT CLIM CHANGE, V1, P201, DOI [10.1038/NCLIMATE1143, 10.1038/NCLIMATE143]
   Lilley JM, 2015, CROP PASTURE SCI, V66, P349, DOI 10.1071/CP14240
   Ludwig F, 2006, AGR SYST, V90, P159, DOI 10.1016/j.agsy.2005.12.002
   Marshall NA, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/3/034022
   Moore AD, 2011, AGR SYST, V104, P162, DOI 10.1016/j.agsy.2010.05.007
   Moore AD, 2014, ENVIRON MODELL SOFTW, V62, P399, DOI 10.1016/j.envsoft.2014.09.001
   Moore AD, 2014, ANIM PROD SCI, V54, P2029, DOI 10.1071/AN14613
   Moore AD, 2014, ANIM PROD SCI, V54, P111, DOI 10.1071/AN13052
   Moore AD, 2013, GLOBAL CHANGE BIOL, V19, P1440, DOI 10.1111/gcb.12150
   Moore G., 2001, Soil Guide: A Handbook for Understanding and Managing Agricultural Soils, VVolume 4343
   Olesen JE, 2002, EUR J AGRON, V16, P239, DOI 10.1016/S1161-0301(02)00004-7
   Peters GP, 2012, NAT CLIM CHANGE, V2, P2, DOI 10.1038/nclimate1332
   Pope VD, 2000, CLIM DYNAM, V16, P123, DOI 10.1007/s003820050009
   Porter JR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P485
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Reyenga PJ, 1999, ENVIRON MODELL SOFTW, V14, P297, DOI 10.1016/S1364-8152(98)00081-4
   Rodriguez D, 2014, AGR SYST, V126, P50, DOI 10.1016/j.agsy.2013.04.003
   Sheng Y, 2015, AUST J AGR RESOUR EC, V59, P16, DOI 10.1111/1467-8489.12063
   Smith IN, 2000, INT J CLIMATOL, V20, P1913, DOI 10.1002/1097-0088(200012)20:15<1913::AID-JOC594>3.0.CO;2-J
   Soussana JF, 2007, GRASS FORAGE SCI, V62, P127, DOI 10.1111/j.1365-2494.2007.00577.x
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P33
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Tubiello FN, 2007, P NATL ACAD SCI USA, V104, P19686, DOI 10.1073/pnas.0701728104
   Wilbanks TJ, 2003, CLIM POLICY, V3, pS147, DOI 10.1016/j.clipol.2003.10.013
   Williams A, 2015, CLIMATIC CHANGE, V129, P183, DOI 10.1007/s10584-014-1305-y
   Zamani GH, 2006, HUM ECOL, V34, P677, DOI 10.1007/s10745-006-9034-0
NR 71
TC 29
Z9 29
U1 6
U2 99
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0308-521X
EI 1873-2267
J9 AGR SYST
JI Agric. Syst.
PD JUL
PY 2016
VL 146
BP 142
EP 155
DI 10.1016/j.agsy.2016.05.011
PG 14
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA DQ7FC
UT WOS:000379371300014
OA Bronze
DA 2025-01-10
ER

PT J
AU Scognamillo, A
   Sitko, N
   Bandara, S
   Hewage, S
   Munaweera, T
   Kwon, J
AF Scognamillo, Antonio
   Sitko, Nicholas
   Bandara, Sidath
   Hewage, Shantha
   Munaweera, Thilani
   Kwon, Jihae
TI The challenge of making climate adaptation profitable for farmers:
   evidence from Sri Lanka's rice sector
SO ENVIRONMENT AND DEVELOPMENT ECONOMICS
LA English
DT Article
DE adaptive practices; agriculture; climate shocks; productivity; rice; Sri
   Lanka
ID PROPENSITY SCORE; FOOD SECURITY; AGRICULTURE; IRRIGATION; IMPACTS;
   ADOPTION; CHOICE; INCOME
AB Adapting agricultural systems to changes in seasonal precipitation is critical for the agricultural sector in Sri Lanka. This paper presents evidence on the adoption drivers and the welfare impacts of agricultural strategies adopted by Sri Lankan rice farmers to adapt to low rainfall conditions. We estimate the causal impact of adopting different adaptive strategies across three different dimensions: (a) sensitivity to water stress, (b) household productivity, and (c) household livelihood conditions. The results highlight important trade-offs faced by farmers between reducing vulnerability to water stress and maximizing profitability and welfare outcomes. These findings are important for informing policies to support climate adaptation among smallholders, and to build and improve the climate resilience of Sri Lanka's rice sector.
C1 [Scognamillo, Antonio; Kwon, Jihae] Food & Agr Org United Nations, Agrifood Econ Div, Rome, Italy.
   [Sitko, Nicholas] Food & Agr Org United Nations, Inclus Rural Transformat & Gender Equ Div, Rome, Italy.
   [Bandara, Sidath; Hewage, Shantha; Munaweera, Thilani] Hector Kobbekaduwa Agr Res & Training Inst, Colombo, Sri Lanka.
C3 Food & Agriculture Organization of the United Nations (FAO); Food &
   Agriculture Organization of the United Nations (FAO)
RP Scognamillo, A (corresponding author), Food & Agr Org United Nations, Agrifood Econ Div, Rome, Italy.
EM Antonio.Sognamillo@fao.org
RI Scognamillo, Antonio/ABA-7757-2021
OI Scognamillo, Antonio/0000-0002-0276-6814
FU German Federal Ministry of Food and Agriculture (BMEL)
   [GCP/INT/259/GER]; Agrifood Economics Division (ESA) of FAO
FX The data collection and analysis presented in this paper were
   financially supported by theGerman FederalMinistry of Food and
   Agriculture (BMEL) through the project `Building the Basis for
   implementing the Save & Grow approach -Regional strategies on
   sustainable and climate-resilient intensification of cropping systems'
   (Grant number: GCP/INT/259/GER) and the Agrifood Economics Division
   (ESA) of FAO through its regular fund.
CR Abidoye BO, 2017, CLIM CHANG ECON, V8, DOI 10.1142/S201000781740005X
   [Anonymous], 2010, EC SOC SURV AS PAC 2
   [Anonymous], 1998, J SOIL SCI SOC SRI L
   Asfaw S, 2016, J AFR ECON, V25, P637, DOI 10.1093/jae/ejw005
   Bang H, 2005, BIOMETRICS, V61, P962, DOI 10.1111/j.1541-0420.2005.00377.x
   Barrett CB, 2001, FOOD POLICY, V26, P367, DOI 10.1016/S0306-9192(01)00017-3
   Barrett CB, 2008, AGR ECON-BLACKWELL, V38, P21, DOI 10.1111/j.1574-0862.2007.00278.x
   Burchfield EK, 2018, J RURAL STUD, V61, P206, DOI 10.1016/j.jrurstud.2018.05.010
   Chithranayana RD, 2014, J NATL SCI FOUND SRI, V42, P119, DOI 10.4038/jnsfsr.v42i2.6992
   De Silva CS, 2007, AGR WATER MANAGE, V93, P19, DOI 10.1016/j.agwat.2007.06.003
   Deininger K, 2007, WORLD DEV, V35, P2056, DOI 10.1016/j.worlddev.2007.02.007
   Deressa T. T., 2009, Global Environmental Change, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Deressa T.T., 2010, FACTORS AFFECTING CH
   Di Falco S, 2014, EUR REV AGRIC ECON, V41, P405, DOI 10.1093/erae/jbu014
   Di Falco S, 2013, LAND ECON, V89, P743, DOI 10.3368/le.89.4.743
   Di Falco S, 2011, AM J AGR ECON, V93, P825, DOI 10.1093/ajae/aar006
   Esham M, 2013, MITIG ADAPT STRAT GL, V18, P535, DOI 10.1007/s11027-012-9374-6
   Etwire PM, 2019, J AGR ECON, V70, P488, DOI 10.1111/1477-9552.12307
   FAO, 2020, COUNTR BRIEF SRI LAN
   Gorst A, 2018, ENVIRON DEV ECON, V23, P679, DOI 10.1017/S1355770X18000232
   Government of Sri Lanka, 2021, PADD STAT
   Handawela J., 1995, SOIL MANAGEMENT RAIN
   Hassan R, 2008, AFR J AGRIC RESOUR E, V2, P83
   Hirano K, 2003, ECONOMETRICA, V71, P1161, DOI 10.1111/1468-0262.00442
   Holden ST, 1998, WORLD BANK, P50
   Imbulana L., 2006, Integrated water resources management: global theory, emerging practice and local needs, P219
   IUCN, 2016, 6 IUCN SRI LANK GOV
   Kassie M, 2013, TECHNOL FORECAST SOC, V80, P525, DOI 10.1016/j.techfore.2012.08.007
   Kim HY, 2013, GLOBAL CHANGE BIOL, V19, P548, DOI 10.1111/gcb.12047
   Kim K, 2014, EUR REV AGRIC ECON, V41, P775, DOI 10.1093/erae/jbt041
   Kumara A.D.S., 2002, Trop. Agric. Res, V14, P117
   Kurukulasuriya P, 2011, CLIM CHANG ECON, V2, P149, DOI 10.1142/S2010007811000255
   Kurukulasuriya P, 2008, AFR J AGRIC RESOUR E, V2, P105
   Lobell DB, 2011, SCIENCE, V333, P616, DOI [10.1126/science.1206376, 10.1126/science.1204531]
   Lunceford JK, 2004, STAT MED, V23, P2937, DOI 10.1002/SIM.1903
   Madduma Bandara CM., 2004, P INT C SUST WAT RES, P94
   Mahendrarajah ES., 2003, P 12 WORLD FOR C FOO
   Molua EL, 2002, ENVIRON DEV ECON, V7, P529, DOI 10.1017/S1355770X02000311
   Reardon T., 1998, The state of food and agriculture, P283
   ROBINS JM, 1994, J AM STAT ASSOC, V89, P846, DOI 10.2307/2290910
   ROSENBAUM PR, 1983, BIOMETRIKA, V70, P41, DOI 10.1093/biomet/70.1.41
   Seo SN, 2008, ECOL ECON, V67, P109, DOI 10.1016/j.ecolecon.2007.12.007
   Seo SNN, 2005, ENVIRON DEV ECON, V10, P581, DOI 10.1017/S1355770X05002044
   Shand R., 2002, IRRIGATION AGR SRI L
   Weerakoon WMW, 2011, FIELD CROP RES, V121, P53, DOI 10.1016/j.fcr.2010.11.009
   WFP, 2017, NEWS RELEASE
   Zubair L, 2002, INT J CLIMATOL, V22, P249, DOI 10.1002/joc.714
NR 47
TC 0
Z9 0
U1 5
U2 18
PU CAMBRIDGE UNIV PRESS
PI NEW YORK
PA 32 AVENUE OF THE AMERICAS, NEW YORK, NY 10013-2473 USA
SN 1355-770X
EI 1469-4395
J9 ENVIRON DEV ECON
JI Environ. Dev. Econ.
PD OCT
PY 2022
VL 27
IS 5
BP 451
EP 469
AR PII S1355770X21000371
DI 10.1017/S1355770X21000371
EA JAN 2022
PG 19
WC Economics; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Business & Economics; Environmental Sciences & Ecology
GA 4H7HM
UT WOS:000748776700001
OA Green Submitted, Bronze
DA 2025-01-10
ER

PT J
AU Buck, LT
   De Groote, I
   Hamada, Y
   Stock, JT
AF Buck, Laura T.
   De Groote, Isabelle
   Hamada, Yuzuru
   Stock, Jay T.
TI Humans preserve non-human primate pattern of climatic adaptation
SO QUATERNARY SCIENCE REVIEWS
LA English
DT Article
DE Adaptation; Variation; Colonisation; Cold-adaptation; Ecogeography;
   Thermoregulation; Macaca fuscata; Pleistocene
ID MACAQUES MACACA-FUSCATA; RED COLOBUS MONKEYS; BODY-SIZE; JAPANESE
   MACAQUES; COLD ADAPTATION; MIDFACIAL MORPHOLOGY; CRANIAL MORPHOLOGY;
   POPULATION HISTORY; NATURAL-SELECTION; HUMAN OCCUPATION
AB There is evidence for early Pleistocene Homo in northern Europe, a novel hominin habitat. Adaptations enabling this colonisation are intriguing given suggestions that Homo exhibits physiological and behavioural malleability associated with a 'colonising niche'. Differences in body size/shape between conspecifics from different climates are well-known in mammals, could relatively flexible size/shape have been important to Homo adapting to cold habitats? If so, at what point did this evolutionary stragegy arise? To address these questions a base-line for adaptation to climate must be established by comparison with outgroups. We compare skeletons of Japanese macaques from four latitudes and find inter-group differences in postcranial and cranial size and shape. Very small body mass and cranial size in the Southern-most (island) population are most likely affected by insularity as well as ecogeographic scaling. Limb lengths and body breadths show group differences that accord with the expectations of thermoregulation across the whole range of latitudes. Postcranial size appears to vary more than shape, yet there is also evidence that limb segments follow Allen's rule in the forelimb at least, suggesting differing climatic signals in different regions of the skeleton. In contrast to other intraspecific studies of catarrhine ecogeography, the results presented here demonstrate non-allometric latitudinal patterns in craniofacial shape in Japanese macaques, which align closely with what is seen in cold-adapted humans. These insights begin to provide a comparison for hominin adaptation to similar habitat diversity and the role of biological adaptation in shaping the evolution and dispersal of Homo species. (C) 2018 The Authors. Published by Elsevier Ltd.
C1 [Buck, Laura T.; Stock, Jay T.] Univ Cambridge, Dept Archaeol, PAVE Res Grp, Pembroke St, Cambridge CB2 3QG, England.
   [Buck, Laura T.] Nat Hist Museum, Dept Earth Sci, Human Origins Res Grp, Cromwell Rd, London SW7 5BD, England.
   [De Groote, Isabelle] Liverpool John Moores Univ, Sch Nat Sci & Psychol, James Parsons Bldg,Byrom St, Liverpool L3 3AF, Merseyside, England.
   [Hamada, Yuzuru] Kyoto Univ, Primate Res Inst, Inuyama, Aichi 4848506, Japan.
   [Stock, Jay T.] Western Univ, Dept Anthropol, London, ON N6A 3K7, Canada.
C3 University of Cambridge; Natural History Museum London; Liverpool John
   Moores University; Kyoto University; Western University (University of
   Western Ontario)
RP Buck, LT (corresponding author), Univ Cambridge, Dept Archaeol, PAVE Res Grp, Pembroke St, Cambridge CB2 3QG, England.
EM lb396@cam.ac.uk
RI De Groote, Isabelle/AAB-4086-2020; Stock, Jay/B-6453-2011
OI Stock, Jay/0000-0003-0147-8631; De Groote, Isabelle/0000-0002-9860-0180
FU European Research Council under the European Union's Seventh Framework
   Programme ERC Grant [61727]; AHRC [AH/N007514/1] Funding Source: UKRI
FX We would like to thank the editor and two anonymous reviewers for their
   helpful and constructive comments. For access to collections and their
   help and kindness to LTB during data collection we would like to thank
   Tsuyoshi Ito and colleagues at the Primate Research Institute (Inuyama).
   This article began life as a presentation as part of the AHRC discussion
   meeting Coping with Climate: the Legacy of Homo heidelbergensis. LTB
   thanks the Pls of that project, Rob Hosfield and James Cole, for their
   invitation to take part in the discussion meeting and this special
   issue. The research leading to these results has received funding from
   the European Research Council under the European Union's Seventh
   Framework Programme (FP/2007-13) ERC Grant Agreement n. 61727.
CR Albrecht G.H., 1980, International Journal of Primatology, V1, P141, DOI 10.1007/BF02735594
   [Anonymous], EVOLUTIONARY BIOL
   [Anonymous], 1877, Radical Review
   [Anonymous], ANATOMY RES INT
   Anton SC, 1996, INT J PRIMATOL, V17, P401, DOI 10.1007/BF02736629
   Antón SC, 2016, PHILOS T R SOC B, V371, DOI 10.1098/rstb.2015.0236
   Ashton KG, 2000, AM NAT, V156, P390, DOI 10.1086/303400
   Ashton N., 2014, PLOS ONE, V9, P1
   Ashton N, 2012, QUATERN INT, V271, P50, DOI 10.1016/j.quaint.2011.10.022
   BEALS KL, 1984, CURR ANTHROPOL, V25, P301, DOI 10.1086/203138
   BEALS KL, 1972, AM J PHYS ANTHROPOL, V37, P85, DOI 10.1002/ajpa.1330370111
   Bergmann KGLC., 1847, Gttinger Studien, V3, P595
   Betti L, 2010, AM J PHYS ANTHROPOL, V141, P76, DOI 10.1002/ajpa.21115
   Betti L, 2009, P ROY SOC B-BIOL SCI, V276, P809, DOI 10.1098/rspb.2008.1563
   Bowden R, 2012, PLOS GENET, V8, DOI 10.1371/journal.pgen.1002504
   Brose D. S, 1967, AM ANTHROPOL, V73, P1156
   BROSE DS, 1971, AM ANTHROPOL, V73, P1156, DOI 10.1525/aa.1971.73.5.02a00160
   Buck LT, 2016, J ARCHAEOL SCI-REP, V5, P672, DOI 10.1016/j.jasrep.2015.09.025
   Buck LT, 2014, QUATERNARY SCI REV, V96, P161, DOI 10.1016/j.quascirev.2013.09.003
   Buck LT, 2010, INT J PRIMATOL, V31, P779, DOI 10.1007/s10764-010-9428-0
   Buikstra JE, 1994, ARKANSAS ARCHAEOLOGI
   Cáceres N, 2014, J BIOGEOGR, V41, P501, DOI 10.1111/jbi.12203
   Cardini A, 2008, J HUM EVOL, V54, P615, DOI 10.1016/j.jhevol.2007.09.022
   Cardini A, 2009, ZOOL J LINN SOC-LOND, V157, P197, DOI 10.1111/j.1096-3642.2009.00508.x
   Cardini A, 2009, GLOBAL ECOL BIOGEOGR, V18, P248, DOI 10.1111/j.1466-8238.2008.00432.x
   CAREY JW, 1981, AM J PHYS ANTHROPOL, V56, P313, DOI 10.1002/ajpa.1330560312
   Castellano S, 2014, P NATL ACAD SCI USA, V111, P6666, DOI 10.1073/pnas.1405138111
   Churchill SE, 2014, THIN ON THE GROUND: NEANDERTAL BIOLOGY, ARCHEOLOGY, AND ECOLOGY, P1, DOI 10.1002/9781118590836
   Churchill SE, 1998, EVOL ANTHROPOL, V7, P46, DOI 10.1002/(SICI)1520-6505(1998)7:2<46::AID-EVAN2>3.0.CO;2-N
   Coon CarletonS., 1962, ORIGIN RACES
   Cordain L, 2000, AM J CLIN NUTR, V71, P682, DOI 10.1093/ajcn/71.3.682
   de Azevedo S, 2017, P NATL ACAD SCI USA, DOI [10.1073/pnas.1703790114, DOI 10.1073/PNAS.1703790114.]
   Dumont ER, 1997, AM J PHYS ANTHROPOL, V102, P187
   Dunn J, 2013, J ANAT, V223, P337, DOI 10.1111/joa.12085
   Enari H, 2013, AM J PRIMATOL, V75, P534, DOI 10.1002/ajp.22128
   Enari H, 2012, ACTA THERIOL, V57, P173, DOI 10.1007/s13364-011-0065-6
   Evteev A, 2014, AM J PHYS ANTHROPOL, V153, P449, DOI 10.1002/ajpa.22444
   Evteev AA, 2017, J HUM EVOL, V107, P36, DOI 10.1016/j.jhevol.2017.02.008
   Foley R.A., 1987, ANOTHER UNIQUE SPECI
   Fooden J, 2005, PRIMATES, V47, P184
   Foster F, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0072269
   FOSTER JB, 1964, NATURE, V202, P234, DOI 10.1038/202234a0
   FRANCISCUS RG, 1991, AM J PHYS ANTHROPOL, V85, P419, DOI 10.1002/ajpa.1330850406
   Franciscus RG, 2002, J HUM EVOL, V42, P303, DOI 10.1006/jhev.2001.0528
   Frost SR, 2003, ANAT REC PART A, V275A, P1048, DOI 10.1002/ar.a.10112
   Fukase H, 2012, AM J PHYS ANTHROPOL, V149, P125, DOI 10.1002/ajpa.22112
   Gilligan I, 2010, J ARCHAEOL METHOD TH, V17, P15, DOI 10.1007/s10816-009-9076-x
   Gunz P, 2009, P NATL ACAD SCI USA, V106, P6094, DOI 10.1073/pnas.0808160106
   Hamada Y., 1992, Primate Research, V8, P1
   HAMADA Y, 1986, PRIMATES, V27, P471, DOI 10.1007/BF02381892
   Hamada Y., 1996, Variations in the Asian Macaques, P97
   Hamada Y, 2010, JAPANESE MACAQUES, P27, DOI 10.1007/978-4-431-53886-8_2
   Hammer Oyvind, 2001, Palaeontologia Electronica, V4, pUnpaginated
   Hanya G, 2006, PRIMATES, V47, P275, DOI 10.1007/s10329-005-0176-2
   Harvati K, 2006, ANAT REC PART A, V288A, P1225, DOI 10.1002/ar.a.20395
   Hayaishi S, 2006, PRIMATES, V47, P158, DOI 10.1007/s10329-005-0169-1
   HAYASAKA K, 1987, PRIMATES, V28, P507, DOI 10.1007/BF02380864
   HEANEY LR, 1978, EVOLUTION, V32, P29, DOI 10.1111/j.1558-5646.1978.tb01096.x
   Holliday TW, 1997, AM J PHYS ANTHROPOL, V104, P245, DOI 10.1002/(SICI)1096-8644(199710)104:2<245::AID-AJPA10>3.0.CO;2-#
   Holton N, 2013, ANAT REC, V296, P414, DOI 10.1002/ar.22655
   Hosfield R, 2016, CURR ANTHROPOL, V57, P653, DOI 10.1086/688579
   Hubbe M, 2009, ANAT REC, V292, P1720, DOI 10.1002/ar.20976
   Hylander WL., 1975, Orofacial Growth and Development, P129
   Inagaki H., 1985, Primates, V26, P85, DOI 10.1007/BF02389049
   Ito Tsuyoshi, 2011, Anat Res Int, V2011, P849751, DOI 10.1155/2011/849751
   Ito T, 2015, BIOL J LINN SOC, V115, P333, DOI 10.1111/bij.12528
   Ito T, 2014, AM J PHYS ANTHROPOL, V154, P27, DOI 10.1002/ajpa.22469
   Kaessmann H, 2001, NAT GENET, V27, P155, DOI 10.1038/84773
   Katzmarzyk PT, 1998, AM J PHYS ANTHROPOL, V106, P483, DOI 10.1002/(SICI)1096-8644(199808)106:4<483::AID-AJPA4>3.3.CO;2-K
   Kawamoto Y, 2007, PRIMATES, V48, P27, DOI 10.1007/s10329-006-0013-2
   Kawamoto Y, 2010, JAPANESE MACAQUES, P53, DOI 10.1007/978-4-431-53886-8_3
   Klingenberg CP, 2011, MOL ECOL RESOUR, V11, P353, DOI 10.1111/j.1755-0998.2010.02924.x
   Koyabu DB, 2009, J HUM EVOL, V56, P525, DOI 10.1016/j.jhevol.2008.12.009
   Kubo MO, 2015, EVOL BIOL, V42, P115, DOI 10.1007/s11692-015-9303-1
   Kuroda N., 1940, MONOGRAPH JAPANESE M
   Lomolino MV, 2005, J BIOGEOGR, V32, P1683, DOI 10.1111/j.1365-2699.2005.01314.x
   LOMOLINO MV, 1985, AM NAT, V125, P310, DOI 10.1086/284343
   Majolo B, 2009, BEHAVIOUR, V146, P113, DOI 10.1163/156853908X390959
   Marmi J, 2004, MOL PHYLOGENET EVOL, V30, P676, DOI 10.1016/S1055-7903(03)00247-1
   MARUHASHI T, 1980, Primates, V21, P141, DOI 10.1007/BF02374030
   Meiri S, 2003, J BIOGEOGR, V30, P331, DOI 10.1046/j.1365-2699.2003.00837.x
   Meiri S, 2007, GLOBAL ECOL BIOGEOGR, V16, P788, DOI 10.1111/j.1466-8238.2007.00330.x
   Meyer M, 2012, SCIENCE, V338, P222, DOI 10.1126/science.1224344
   Nakagawa N, 1998, PRIMATES, V39, P375, DOI 10.1007/BF02573085
   NEGUS V, 1957, ARCHIV OTOLARYNGOL, V66, P430
   Nishimura TD, 2014, PRIMATES, V55, P501, DOI 10.1007/s10329-014-0428-0
   Noback ML, 2011, AM J PHYS ANTHROPOL, V145, P599, DOI 10.1002/ajpa.21523
   Nowaczewska W, 2011, COLLEGIUM ANTROPOL, V35, P625
   NOZAWA K, 1991, PRIMATES, V32, P411, DOI 10.1007/BF02381934
   Parfitt SA, 2010, NATURE, V466, P229, DOI 10.1038/nature09117
   Paterson JD, 1996, INT J PRIMATOL, V17, P585, DOI 10.1007/BF02735193
   Pomeroy E, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0051795
   Potts R, 1998, EVOL ANTHROPOL, V7, P81, DOI 10.1002/(SICI)1520-6505(1998)7:3<81::AID-EVAN3>3.0.CO;2-A
   Potts R, 2013, QUATERNARY SCI REV, V73, P1, DOI 10.1016/j.quascirev.2013.04.003
   Rae TC, 2003, AM J PRIMATOL, V59, P153, DOI 10.1002/ajp.10072
   Rae TC, 2006, P ROY SOC B-BIOL SCI, V273, P2605, DOI 10.1098/rspb.2006.3629
   Rae TC, 2011, J HUM EVOL, V60, P234, DOI 10.1016/j.jhevol.2010.10.003
   Relethford JH, 2010, AM J PHYS ANTHROPOL, V142, P105, DOI 10.1002/ajpa.21207
   Roebroeks W, 2011, P NATL ACAD SCI USA, V108, P5209, DOI 10.1073/pnas.1018116108
   Rogers Ackermann R, 2006, IDENTIFYING MORPHOLO, V51, P632
   Rogers AR, 2004, CURR ANTHROPOL, V45, P105, DOI 10.1086/381006
   Rohlf F.J, 1995, BIOMETRY PRINCIPALS, V3
   Roseman CC, 2004, AM J PHYS ANTHROPOL, V125, P257, DOI 10.1002/ajpa.10424
   Roseman CC, 2004, P NATL ACAD SCI USA, V101, P12824, DOI 10.1073/pnas.0402637101
   Roseman CC, 2015, J HUM EVOL, V78, P80, DOI 10.1016/j.jhevol.2014.07.006
   Ruff C, 2002, ANNU REV ANTHROPOL, V31, P211, DOI 10.1146/annurev.anthro.31.040402.085407
   Ruff CB, 1997, NATURE, V387, P173, DOI 10.1038/387173a0
   Ruff Christopher B., 1994, Yearbook of Physical Anthropology, V37, P65
   Singleton M, 2002, J HUM EVOL, V42, P547, DOI 10.1006/jhev.2001.0539
   Singleton M, 2005, DEV PRIMATOL-PROG PR, P319, DOI 10.1007/0-387-27614-9_15
   Steegmann A. T, 1972, AM J PHYS ANTHROPOL, V37, P173
   STEEGMANN AT, 1970, AM J PHYS ANTHROPOL, V32, P243, DOI 10.1002/ajpa.1330320212
   Steegmann AT, 2002, AM J HUM BIOL, V14, P566, DOI 10.1002/ajhb.10070
   STEEGMANN AT, 1968, AM J PHYS ANTHROPOL, V28, P17, DOI 10.1002/ajpa.1330280111
   Stock JT, 2006, AM J PHYS ANTHROPOL, V131, P194, DOI 10.1002/ajpa.20398
   Stock JT, 2008, EMBO REP, V9, pS51, DOI 10.1038/embor.2008.63
   Suzuki A., 1965, Primates, V6, P31, DOI 10.1007/BF01794458
   Temple DH, 2011, INT J OSTEOARCHAEOL, V21, P268, DOI 10.1002/oa.1129
   Terada C, 2012, OECOLOGIA, V169, P981, DOI 10.1007/s00442-012-2270-7
   Trinkaus E., 1981, Symposia of the Society for the Study of Human Biology, V21, P187
   Tsuji Y, 2015, MAMMAL REV, V45, P227, DOI 10.1111/mam.12045
   Tsuji Y, 2013, PRIMATES, V54, P201, DOI 10.1007/s10329-013-0359-1
   Vrba E., 1985, P63
   Vrba E.S., 2015, Handbook of paleoanthropology, P1837
   Wales N, 2012, J HUM EVOL, V63, P781, DOI 10.1016/j.jhevol.2012.08.006
   Weaver TD, 2007, J HUM EVOL, V53, P135, DOI 10.1016/j.jhevol.2007.03.001
   Webster M, 2010, PRACTICAL INTRO LAND
   Weiner JS, 1954, AM J PHYS ANTHROP-NE, V12, P615, DOI 10.1002/ajpa.1330120412
   Weinstein KJ, 2008, J HUM EVOL, V54, P287, DOI 10.1016/j.jhevol.2007.08.010
   Wells JCK, 2007, YEARB PHYS ANTHROPOL, V50, P191, DOI 10.1002/ajpa.20735
   Will M, 2017, ROY SOC OPEN SCI, V4, DOI 10.1098/rsos.171339
   Will M, 2015, J HUM EVOL, V82, P15, DOI 10.1016/j.jhevol.2015.02.009
   Wolpoff M., 1999, Paleoanthropology
   WOLPOFF MH, 1968, AM J PHYS ANTHROPOL, V29, P405, DOI 10.1002/ajpa.1330290315
   Wroe S, 2018, P R SOC B, V285
NR 135
TC 21
Z9 26
U1 0
U2 17
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0277-3791
J9 QUATERNARY SCI REV
JI Quat. Sci. Rev.
PD JUL 15
PY 2018
VL 192
BP 149
EP 166
DI 10.1016/j.quascirev.2018.05.032
PG 18
WC Geography, Physical; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Physical Geography; Geology
GA GM5LV
UT WOS:000438179800011
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Moustafa, K
AF Moustafa, Khaled
TI Tent-cities: A resilient future urban solution to live and mitigate
   earthquake damages
SO CITIES
LA English
DT Article
DE Earthquake mitigation; Urban planning; Disaster preparedness; Climate
   -adaptive shelters; Seismic risk reduction; Smart city; Smart tent;
   Tent-city; Tent -village
AB Earthquakes are expected to increase in intensity and frequency in regions like Anatolia, Arabia, Persia, and North Africa due to intensive oil extraction over decades. This highlights the need for innovative approaches to effectively address and mitigate the consequences of such seismic events. Here, I propose the development and utilization of tent as a cost-effective and viable alternative to traditional and high-rise cement-based constructions, aiming to reduce earthquake damages. With a rich history in nomadic practices, tents can be strengthened by integrating cutting-edge technologies that make them adaptable, climate-responsive, and earthquake-resistant solutions. By using natural materials like wool and cotton enhanced with waterproof and fireproof properties, tents can provide both comfort and versatility in various weather conditions. The goal of habitation is to furnish a secure and comfortable living space with essential amenities for safety and well-being. Tent-based communities could present an eco-friendly housing alternative and reduce the impact of destructive earthquakes by minimizing debris and rubble. In warm regions, tents can serve as year-round habitable spaces. Establishing tent cities or villages in such areas can effectively mitigate earthquake damages while also promoting sustainability and a healthy lifestyle. Skillfully extrapolating and adapting traditional urban design to tent-based materials could offer the potential to construct fully functional smart-tent cities that provide contemporary living comforts and safeguard against earthquakes and climate challenges. With modern manufacturing capabilities and urban planning, tents can benefit from advanced design principles to deliver safety, comfort, and an enduring ability to weather adverse climate conditions and earthquake damages.
C1 [Moustafa, Khaled] Arab Sci Arch ArabiXiv, Arab Preprint Server, Paris, France.
RP Moustafa, K (corresponding author), Arab Sci Arch ArabiXiv, Arab Preprint Server, Paris, France.
EM khaled.moustafa@arabixiv.org
OI Moustafa, Khaled/0000-0002-0819-9064
CR Kaneda Y, 2023, JMA J, V6, P332, DOI 10.31662/jmaj.2023-0025
   Moustafa K, 2020, CITIES, V107, DOI 10.1016/j.cities.2020.102903
   Moustafa K, 2016, SCI TOTAL ENVIRON, V548, P479, DOI [10.1016/j.scitotenv.2016.01.127, 10.1016]
   Singleton BE, 2023, CITIES, V141, DOI 10.1016/j.cities.2023.104501
   Spicer Z, 2023, CITIES, V141, DOI 10.1016/j.cities.2023.104442
   Stamopoulos D, 2024, CITIES, V144, DOI 10.1016/j.cities.2023.104612
   Tuncel OK, 2023, NOROPSIKIYATRI ARS, V60, P97, DOI 10.29399/npa.28494
NR 7
TC 2
Z9 2
U1 4
U2 7
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0264-2751
EI 1873-6084
J9 CITIES
JI Cities
PD FEB
PY 2024
VL 145
AR 104696
DI 10.1016/j.cities.2023.104696
EA NOV 2023
PG 4
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA IK3E2
UT WOS:001166170900001
DA 2025-01-10
ER

PT J
AU Crausbay, SD
   Hall, KR
   Cross, MS
   Halabisky, M
   Rangwala, I
   Anderson, J
   Schwend, A
AF Crausbay, Shelley D.
   Hall, Kimberly R.
   Cross, Molly S.
   Halabisky, Meghan
   Rangwala, Imtiaz
   Anderson, Jesse
   Schwend, Ann
TI A flexible data-driven approach to co-producing drought vulnerability
   assessments
SO ECOSPHERE
LA English
DT Article
DE actionable science; climate change adaptation; drought adaptation;
   drought vulnerability; drought vulnerability assessment; drought
   vulnerability profile; ecological drought
ID TERRESTRIAL ECOSYSTEMS; CLIMATE-CHANGE; FOREST; IMPROVE; ADAPTATION;
   FRAMEWORK; EXTREMES; IMPACTS; SCIENCE; HEALTH
AB Intensifying weather events are key characteristics of climate change that are fundamentally changing ecological disturbance regimes. Intensifying drought is a particular threat to species, ecosystems, and ecosystem services worldwide. Proactive drought adaptation measures are acutely needed, but without a better understanding of drought vulnerability at the appropriate scale and geography, such measures may not be effective, or even anticipated as potential options. A recent conceptual framework for ecological drought aligns a holistic suite of potential drivers with the key components of climate change vulnerability (exposure, sensitivity, and adaptive capacity). We leverage the ecological drought framework and components of vulnerability to introduce a six-step process for developing a drought vulnerability assessment (DVA) that (1) is place-based and avoids mismatches between assessment geography and management action, (2) uses existing empirical datasets and leverages machine learning techniques and remotely sensed data from a recent drought, (3) emphasizes the inclusion of stakeholders and the importance of data visualization and science communication, and (4) is flexible and adaptable to a wide range of planning contexts. We illustrate the DVA process with a case study for forested watersheds in the Missouri Headwaters (MH), Montana, USA, that is focused on the impact of an early 2000s drought event on forest health. We show how the DVA provides insights on drought vulnerability that are helpful starting points for co-developing region-specific management actions to prepare for the next drought, including strategies to enhance ecologically available water, reduce competition for water, promote ecosystem persistence under drought conditions, and prioritize sites for forest restoration, transition, or protection. The work described here provides a model for developing a DVA in other places that, when used in a participatory adaptation planning process, supports the implementation of effective adaptation strategies.
C1 [Crausbay, Shelley D.] USDA Forest Serv, Off Sustainabil & Climate, 2150 Ctr Ave, Ft Collins, CO 80526 USA.
   [Crausbay, Shelley D.; Halabisky, Meghan; Anderson, Jesse] Conservat Sci Partners Inc, Truckee, CA 96161 USA.
   [Hall, Kimberly R.] Nature Conservancy, North Amer Sci, Lansing, MI USA.
   [Cross, Molly S.] Wildlife Conservat Soc, Bozeman, MT USA.
   [Halabisky, Meghan] Univ Washington, Sch Environm & Forest Resources, Seattle, WA 98195 USA.
   [Rangwala, Imtiaz] Univ Colorado Boulder, North Cent Climate Adaptat Sci Ctr, Boulder, CO USA.
   [Rangwala, Imtiaz] Univ Colorado Boulder, Cooperat Inst Res Environm Sci, Boulder, CO USA.
   [Schwend, Ann] Montana Dept Nat Resources & Conservat, Upper Missouri Water Resource Planner, Helena, MT USA.
   [Cross, Molly S.] USGS North Cent Climate Adaptat Sci Ctr, 4001 Discovery Dr,Suite S340, Boulder, CO 80309 USA.
   [Halabisky, Meghan] Univ Washington, Sch Environm & Forest Resources, Anderson Hall,W 3715 Stevens Way NE, Seattle, WA 98195 USA.
   [Anderson, Jesse] Numbers & Strings LLC, Flagstaff, AZ USA.
C3 United States Department of Agriculture (USDA); United States Forest
   Service; Nature Conservancy; Wildlife Conservation Society; University
   of Washington; University of Washington Seattle; University of Colorado
   System; University of Colorado Boulder; University of Colorado System;
   University of Colorado Boulder; University of Washington; University of
   Washington Seattle
RP Crausbay, SD (corresponding author), USDA Forest Serv, Off Sustainabil & Climate, 2150 Ctr Ave, Ft Collins, CO 80526 USA.
EM shelley.crausbay@usda.gov
FU U.S. Geological Survey [NA20OAR4310366]; Science for Nature and People
   Partnership (SNAPP); USGS National Climate Change and Wildlife Science
   Center [G15AC00277, G16AC00380]; USGS Climate Adaptation Science Center
FX This work was supported by the Science for Nature and People Partnership
   (SNAPP), NOAA's National Integrated Drought Information System-Coping
   with Drought Program (award NA20OAR4310366) to Shelley D. Crausbay at
   Conservation Science Partners, and USGS National Climate Change and
   Wildlife Science Center, now the USGS Climate Adaptation Science Center,
   through cooperative agreements G15AC00277 and G16AC00380 to Kimberly R.
   Hall at The Nature Conservancy. We are grateful to the SNAPP Ecological
   Drought Working Group (Science for Nature and People Partnership:
   Ecological Drought (snappartnership.net)), especially co-lead Shawn
   Carter, for helping inform and inspire this work. We also thank Lauren
   Hay for providing snow water equivalent data, Julien Brun for
   contributing to the development of workflows, and Leslie Brandt and two
   anonymous reviewers for improving the manuscript overall.
CR Adaptation Partners, 2019, Climate Change Adaptation Library for the Western United States.
   Anderegg WRL, 2022, ECOL LETT, V25, P1510, DOI 10.1111/ele.14018
   Andrews CM, 2020, J APPL ECOL, V57, P1089, DOI 10.1111/1365-2664.13615
   Baron JS, 2002, ECOL APPL, V12, P1247
   Batllori E, 2020, P NATL ACAD SCI USA, V117, P29720, DOI 10.1073/pnas.2002314117
   Bernacchi CJ, 2015, ANNU REV PLANT BIOL, V66, P599, DOI 10.1146/annurev-arplant-043014-114834
   Boots M., 2014, Building Drought Resilience in Montana. Blog Post July 18
   Bootstrap Team, 2018, Bootstrap Frontend Toolkit.
   Boria RA, 2014, ECOL MODEL, V275, P73, DOI 10.1016/j.ecolmodel.2013.12.012
   Bostock M, 2017, D3: Data Driven Documents Javascript Library.
   Bottero A, 2017, J APPL ECOL, V54, P1605, DOI 10.1111/1365-2664.12847
   Bradford JB, 2022, J APPL ECOL, V59, P549, DOI 10.1111/1365-2664.14073
   Bradford JB, 2018, FRONT ECOL ENVIRON, V16, P295, DOI 10.1002/fee.1806
   Bradford JB, 2017, FRONT ECOL ENVIRON, V15, P11, DOI 10.1002/fee.1445
   Breshears DD, 2005, P NATL ACAD SCI USA, V102, P15144, DOI 10.1073/pnas.0505734102
   Brodrick PG, 2019, GEOPHYS RES LETT, V46, P2752, DOI 10.1029/2018GL081108
   Buma B, 2021, METHODS ECOL EVOL, V12, P2276, DOI 10.1111/2041-210X.13702
   Buma B, 2020, J APPL ECOL, V57, P1113, DOI 10.1111/1365-2664.13606
   Caretta MA., 2022, Climate Change 2022: Impacts, Adaptation, and Vulnerability, P551, DOI 10.1017/ 9781009325844.006
   Carter SK, 2020, LANDSCAPE ECOL, V35, P545, DOI 10.1007/s10980-020-00970-5
   Cartwright J, 2018, FORESTS, V9, DOI 10.3390/f9110715
   Cartwright JM, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-75273-5
   Clark JS, 2016, GLOBAL CHANGE BIOL, V22, P2329, DOI 10.1111/gcb.13160
   Costanza JK, 2023, ECOSPHERE, V14, DOI 10.1002/ecs2.4525
   Crausbay SD, 2020, ONE EARTH, V3, P337, DOI 10.1016/j.oneear.2020.08.019
   Crausbay SD, 2017, B AM METEOROL SOC, V98, P2543, DOI 10.1175/BAMS-D-16-0292.1
   Cravens AE, 2021, WEATHER CLIM SOC, V13, P363, DOI 10.1175/WCAS-D-19-0111.1
   Cross MS, 2012, ENVIRON MANAGE, V50, P341, DOI 10.1007/s00267-012-9893-7
   Crozier LG, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0217711
   Das AJ, 2022, ECOL APPL, V32, DOI 10.1002/eap.2514
   Dedman S, 2017, FISHES-BASEL, V2, DOI 10.3390/fishes2030012
   Dobrowski SZ, 2013, GLOBAL CHANGE BIOL, V19, P241, DOI 10.1111/gcb.12026
   Elith J, 2008, J ANIM ECOL, V77, P802, DOI 10.1111/j.1365-2656.2008.01390.x
   Elith J, 2006, ECOGRAPHY, V29, P129, DOI 10.1111/j.2006.0906-7590.04596.x
   Ficklin DL, 2022, EARTHS FUTURE, V10, DOI 10.1029/2021EF002487
   Ficklin DL, 2019, GEOPHYS RES LETT, V46, P8114, DOI 10.1029/2019GL084015
   Fox John, 2023, CRAN
   Furniss TJ, 2022, ECOL APPL, V32, DOI 10.1002/eap.2507
   Giorgi F, 2011, J CLIMATE, V24, P5309, DOI 10.1175/2011JCLI3979.1
   Gregg R. M., 2019, EcoAdapt
   Guiterman CH, 2022, FIRE ECOL, V18, DOI 10.1186/s42408-022-00131-w
   Halpern BS, 2020, ONE EARTH, V2, P30, DOI 10.1016/j.oneear.2019.12.011
   Harris RMB, 2018, NAT CLIM CHANGE, V8, P579, DOI 10.1038/s41558-018-0187-9
   Hartmann H, 2022, ANNU REV PLANT BIOL, V73, P673, DOI 10.1146/annurev-arplant-102820-012804
   Hijmans Robert J, 2023, CRAN
   Hobbins MT, 2016, J HYDROMETEOROL, V17, P1745, DOI 10.1175/JHM-D-15-0121.1
   Homer C, 2004, PHOTOGRAMM ENG REM S, V70, P829, DOI 10.14358/PERS.70.7.829
   Housman IW, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10081184
   Hoylman ZH, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-30316-5
   Hugo Authors, 2023, Gohugo.Io: A Fast and Flexible Site Generator Built With Love in GoLang.
   Jackson RB, 2001, ECOL APPL, V11, P1027, DOI 10.1890/1051-0761(2001)011[1027:WIACW]2.0.CO;2
   Jackson ST, 2009, P NATL ACAD SCI USA, V106, P19685, DOI 10.1073/pnas.0901644106
   Jacobsen AL, 2018, NEW PHYTOL, V219, P498, DOI 10.1111/nph.15186
   Jensen J.R., 2005, Introductory digital image processing: A remote sensing perspective
   Kolb TE, 2007, FOREST ECOL MANAG, V249, P141, DOI 10.1016/j.foreco.2007.06.002
   Krawchuk MA, 2020, FRONT ECOL ENVIRON, V18, P235, DOI 10.1002/fee.2190
   Kreibich H, 2019, HYDROLOG SCI J, V64, P1, DOI 10.1080/02626667.2018.1558367
   LANDFIRE, 2021, Existing Vegetation Cover Layer
   Lestina J., 2019, BroadLevel Reconstruction of Mountain Pine Beetle Outbreaks from 19992015 across the Northern Region.
   Mapbox Authors, 2019, Mapbox GL JS Javascript Library for Vector Maps on the Web.
   Markstrom S. L., 2015, PRMSIV, the PrecipitationRunoff Modeling System
   Martínez-Vilalta J, 2016, GLOBAL PLANET CHANGE, V144, P94, DOI 10.1016/j.gloplacha.2016.07.009
   Marvel K, 2019, NATURE, V569, P59, DOI 10.1038/s41586-019-1149-8
   McClure ML, 2021, J BIOGEOGR, V48, P2429, DOI 10.1111/jbi.14130
   McEvoy J, 2018, RESOURCES-BASEL, V7, DOI 10.3390/resources7010014
   MCKEE TB, 1993, P 8 C APPL CLIM AN C
   Millar CI, 2015, SCIENCE, V349, P823, DOI 10.1126/science.aaa9933
   Moss WE, 2024, BIOSCIENCE, V74, P524, DOI [10.1093/biosci/biae050, 10.1093/biosci/biae085]
   MTBS (Monitoring Trends in Burn Severity), 2017, Data Access: Fire Level Geospatial Data (2017, JulyLast Revised). MTBS Project
   NOAA National Centers for Environmental Information (NCEI), 2023, U.S. BillionDollar Weather and Climate Disasters (2023).
   Novick K, 2022, BIOSCIENCE, V72, P333, DOI 10.1093/biosci/biab135
   Pau S, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011325
   R Core Team, 2017, R LANG ENV STAT COMP
   Raheem N, 2019, WIRES WATER, V6, DOI 10.1002/wat2.1352
   Rangecroft S, 2018, PROG PHYS GEOG, V42, P237, DOI 10.1177/0309133318766802
   Rangwala I., 2019, Landscape Evaporative Response Index (LERI): A High Resolution Monitoring and Assessment of Evapotranspiration across the Contiguous United States, DOI [10.21429/43r4-3q68, DOI 10.21429/43R4-3Q68]
   Rippey B., 2021, Weatherwise, V74, P29, DOI [10.1080/00431672.2021.1873000, DOI 10.1080/00431672.2021.1873000]
   Runting RK, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15870-0
   Schwantes AM, 2017, GLOBAL CHANGE BIOL, V23, P5120, DOI 10.1111/gcb.13775
   Smith AB, 2013, NAT HAZARDS, V67, P387, DOI 10.1007/s11069-013-0566-5
   Smith MD, 2011, J ECOL, V99, P651, DOI 10.1111/j.1365-2745.2011.01833.x
   Stanke H, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-020-20678-z
   Stein B.A., 2014, ClimateSmart Conservation: Putting Adaptation Principles Into Practice, P262
   Sturm J, 2022, GLOBAL CHANGE BIOL, V28, P2956, DOI 10.1111/gcb.16136
   Svoboda M, 2002, B AM METEOROL SOC, V83, P1181, DOI 10.1175/1520-0477(2002)083<1181:TDM>2.3.CO;2
   Swanston C. W., 2020, Adaptation Strategies and Approaches for California Forest Ecosystems.
   Swanston CW., 2016, Forest Adaptation Resources: climate change tools and approaches for land managers, V2nd, DOI DOI 10.2737/NRS-GTR-87-2
   Szeptycki L. F., 2015, The Federal Role in Watershed Scale Drought Resilience.
   Theobald DM, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0143619
   Toomey AH, 2017, CONSERV LETT, V10, P619, DOI 10.1111/conl.12315
   Trenberth KE, 1999, CLIMATIC CHANGE, V42, P327, DOI 10.1023/A:1005488920935
   Trugman AT, 2021, TRENDS ECOL EVOL, V36, P520, DOI 10.1016/j.tree.2021.02.001
   US Forest Service, 2022, Climate Adaptation Plan.
   US Geological Survey, 2005, Elevation Derivatives for National Applications., DOI [10.3133/fs20053049, DOI 10.3133/FS20053049]
   VanderMolen K, 2020, ENVIRON MANAGE, V65, P178, DOI 10.1007/s00267-019-01237-9
   Vose JM, 2011, ECOHYDROLOGY, V4, P146, DOI 10.1002/eco.193
   Wall TU, 2017, FRONT ECOL ENVIRON, V15, P551, DOI 10.1002/fee.1735
   West H, 2019, REMOTE SENS ENVIRON, V232, DOI 10.1016/j.rse.2019.111291
   Williams AP, 2020, SCIENCE, V368, P314, DOI 10.1126/science.aaz9600
   Wu P., 2017, Open Journal of Statistics, V7, P859, DOI DOI 10.4236/OJS.2017.75061
   Xie Y. C. Dervieux and A. P. Hill, 2022, Blogdown: Create Blogs and Websites with R Markdown.
   Young DJN, 2023, ECOL APPL, V33, DOI 10.1002/eap.2854
   Zang CS, 2020, GLOBAL CHANGE BIOL, V26, P322, DOI 10.1111/gcb.14809
NR 103
TC 0
Z9 0
U1 2
U2 2
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 2150-8925
J9 ECOSPHERE
JI Ecosphere
PD OCT
PY 2024
VL 15
IS 10
AR e70040
DI 10.1002/ecs2.70040
PG 20
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA O0M7O
UT WOS:001368177800001
OA gold
DA 2025-01-10
ER

PT J
AU Cavadini, GB
   Rodriguez, M
   Nguyen, T
   Cook, LM
AF Cavadini, Giovan Battista
   Rodriguez, Mayra
   Nguyen, Trang
   Cook, Lauren M.
TI Can blue-green infrastructure counteract the effects of climate change
   on combined sewer overflows? Study of a swiss catchment
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE sustainable urban drainage systems; combined sewer systems; climate
   change adaptation; SWMM; stormwater management; climate models;
   convection-permitting models
ID COST-EFFECTIVENESS; URBANIZATION; IMPACTS; DESIGNS
AB Combined sewer overflows (CSOs), the discharge of untreated sewage mixed with stormwater into surface waters, are expected to increase under climate change as a result of more extreme rainfall. Blue-green infrastructure (BGI), such as bioretention cells and porous pavements, can help to reduce the amount of stormwater entering combined sewer systems, thus reducing CSO discharge. However, our understanding of the potential for BGI to mitigate CSOs in a future climate is still lacking, as performance is typically evaluated for individual BGI elements with fixed implementation areas under historical climate conditions or limited future scenarios. In response, this study investigates the performance of 30 combinations of BGI elements and implementation rates to prevent increases in CSOs under a range of future climate scenarios in an urban catchment near Zurich, Switzerland. Median total annual rainfall, projected to increase by as much as 46%, could double the median annual CSO volume and increase median annual CSO frequency by up to 52%. Four BGI combinations that include bioretention cells show the most promise to prevent increases in CSO volume and frequency in a future climate; and given the diverse responses of BGI elements to distinct rainfall patterns, their combinations can enhance CSO discharge reduction across varying climate patterns. BGI is also likely to become more cost-effective under future climatic conditions as projected increases in total rainfall led to larger CSO volume reductions obtained through BGI. However, there is a trade-off between robustness to climate change and cost-effectiveness, since CSO volume reduction capacity scales with BGI implementation rate but cost-effectiveness declines. Our study illustrates the effectiveness of various BGI combinations to prevent increases in CSOs in a future climate, calling for a range of BGI elements and implementation areas to be considered for urban drainage adaptation.
C1 [Cavadini, Giovan Battista; Rodriguez, Mayra; Nguyen, Trang; Cook, Lauren M.] Swiss Fed Inst Aquat Sci & Technol EAWAG, Dept Urban Water Management, CH-8600 Dubendorf, Switzerland.
   [Cavadini, Giovan Battista] Swiss Fed Inst Technol, Inst Environm Engn IfU, Zurich, Switzerland.
C3 Swiss Federal Institutes of Technology Domain; Swiss Federal Institute
   of Aquatic Science & Technology (EAWAG); Swiss Federal Institutes of
   Technology Domain; ETH Zurich
RP Cavadini, GB; Cook, LM (corresponding author), Swiss Fed Inst Aquat Sci & Technol EAWAG, Dept Urban Water Management, CH-8600 Dubendorf, Switzerland.; Cavadini, GB (corresponding author), Swiss Fed Inst Technol, Inst Environm Engn IfU, Zurich, Switzerland.
EM gbcavadini@gmail.com; Lauren.Cook@eawag.ch
OI Cook, Lauren/0000-0001-7790-1294; Cavadini, Giovan
   Battista/0000-0002-6438-9524
FU ETH [200021_204790]; SNSF (BETTER; Project); UWO project team (EAWAG)
FX We acknowledge the support of the SNSF (BETTER; Project 200021_204790)
   and the SWW department at EAWAG (in particular Professor Max Maurer) for
   financing this research. We are also grateful for the computing
   resources provided by the Euler (ETH) cluster and Stuart Dennis for
   support accessing these resources. We would like to thank the UWO
   project team (EAWAG) for providing the case-study data, Patrick Stettler
   for his support in the preparation of the climate model data, and
   Andreas Dietzel for helpful comments on the manuscript. We also thank
   Christoph Schar, Patricio Andres Velasquez Alvarez, Marie Estelle
   Demory, Ruth Lorenz and the Center for Climate Systems Modeling at ETH
   Zurich for providing the convection resolving climate model data.
CR Abdellatif M, 2015, HYDROLOG SCI J, V60, P636, DOI 10.1080/02626667.2014.912755
   Allen R. G., 1998, FAO Irrigation and Drainage Paper
   Almaaitah T, 2021, BLUE-GREEN SYST, V3, P223, DOI 10.2166/bgs.2021.016
   BALMFORTH DJ, 1990, J INST WATER ENV MAN, V4, P219
   Ban N, 2014, J GEOPHYS RES-ATMOS, V119, DOI 10.1002/2014JD021478
   Blumensaat F., The UWO Dataset: Long-term Data from a Real-life Field Laboratory to Better Understand Urban Hydrology at Small Spatiotemporal Scales, DOI [10.31224/3208, DOI 10.31224/3208]
   Cannon AJ, 2015, J CLIMATE, V28, P6938, DOI 10.1175/JCLI-D-14-00754.1
   Cavadini GB, 2024, J ENVIRON MANAGE, V365, DOI 10.1016/j.jenvman.2024.121465
   Chui TFM, 2016, J HYDROL, V533, P353, DOI 10.1016/j.jhydrol.2015.12.011
   Cook LM, 2024, NPJ URBAN SUSTAIN, V4, DOI 10.1038/s42949-024-00145-0
   Cook LM, 2020, CLIMATIC CHANGE, V159, P289, DOI 10.1007/s10584-019-02649-6
   Copetti D, 2019, WATER SUPPLY, V19, P953, DOI 10.2166/ws.2018.146
   Coppola E, 2020, CLIM DYNAM, V55, P3, DOI 10.1007/s00382-018-4521-8
   Dimitriadou S, 2022, HYDROLOGY-BASEL, V9, DOI 10.3390/hydrology9070124
   Donati GFA, 2022, J ENVIRON MANAGE, V316, DOI 10.1016/j.jenvman.2022.115254
   Dong Q, 2020, INT J CLIMATOL, V40, P235, DOI 10.1002/joc.6206
   Feigenwinter I., 2018, Technical Report MeteoSwiss, V270
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fischbach J., 2017, Robust Stormwater Management in the Pittsburgh Region: A Pilot Study, DOI [10.7249/RR1673, DOI 10.7249/RR1673]
   Fletcher TD, 2015, URBAN WATER J, V12, P525, DOI 10.1080/1573062X.2014.916314
   Fosser G, 2024, NPJ CLIM ATMOS SCI, V7, DOI 10.1038/s41612-024-00600-w
   Fowler HJ, 2022, Rainfall, P307, DOI [10.1016/b978-0-12-822544-8.00017-2, DOI 10.1016/B978-0-12-822544-8.00017-2]
   Ghiat I, 2021, WATER-SUI, V13, DOI 10.3390/w13182523
   Guo ZY, 2022, ATMOS RES, V265, DOI 10.1016/j.atmosres.2021.105929
   Jean ME, 2022, WATER RES, V221, DOI 10.1016/j.watres.2022.118753
   Joshi P, 2021, WATER RES, V191, DOI 10.1016/j.watres.2020.116780
   Kim K, 2022, WATER SUPPLY, V22, P75, DOI 10.2166/ws.2021.285
   Leutwyler D, 2017, J GEOPHYS RES-ATMOS, V122, P5237, DOI 10.1002/2016JD026013
   Lucas-Picher P, 2021, WIRES CLIM CHANGE, V12, DOI 10.1002/wcc.731
   Macro K, 2019, ENVIRON MODELL SOFTW, V113, P42, DOI 10.1016/j.envsoft.2018.12.004
   Maraun D., 2017, Statistical downscaling and bias correction for climate research. Statistical downscaling and bias correction for climate research, DOI DOI 10.1017/9781107588783
   Mcgauley MW, 2023, WATER RESOUR RES, V59, DOI 10.1029/2023WR035155
   McGinnis A., 2015, Machine Learning and Data Mining Approaches to Climate Science: Proc. 4th Int. Workshop on Climate Informatics, P91, DOI [10.1007/978-3-319-17220-09, DOI 10.1007/978-3-319-17220-09]
   Meredith EP, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab6787
   MeteoSwiss, 2023, Data portal for teaching and research (IDAweb)-MeteoSwiss
   Metropolitan Water Reclamation District of Greater Chicago, 2023, TARP Status Report
   Miller JD, 2017, J HYDROL-REG STUD, V12, P345, DOI 10.1016/j.ejrh.2017.06.006
   Montalto F, 2007, LANDSCAPE URBAN PLAN, V82, P117, DOI 10.1016/j.landurbplan.2007.02.004
   More R., 2021, COVID 19 NITRIC OXID, P1
   Moriasi DN, 2007, T ASABE, V50, P885, DOI 10.13031/2013.23153
   Nodine TG, 2024, SCI REP-UK, V14, DOI 10.1038/s41598-024-53611-1
   O'Brien TA, 2016, J ADV MODEL EARTH SY, V8, P976, DOI 10.1002/2016MS000671
   Pedregosa F, 2018, Arxiv, DOI [arXiv:1201.0490, 10.48550/arXiv.1201.0490]
   Perrelet K, 2024, NPJ URBAN SUSTAIN, V4, DOI 10.1038/s42949-024-00163-y
   Poujol B, 2021, CLIM DYNAM, V56, P2569, DOI 10.1007/s00382-020-05606-7
   Probst N, 2022, BLUE-GREEN SYST, V4, P348, DOI 10.2166/bgs.2022.028
   Rabideau A, 2022, J HYDROL, V607, DOI 10.1016/j.jhydrol.2022.127465
   Richards M., 2023, PyETo
   Rodriguez M., 2024, Data for: do baseline assumptions alter the efficacy of green stormwater infrastructure to reduce combined sewer overflows?, DOI [10.25678/0009PE, DOI 10.25678/0009PE]
   Rodriguez M, 2024, WATER RES, V253, DOI 10.1016/j.watres.2024.121284
   Rodriguez M, 2024, J ENVIRON MANAGE, V353, DOI 10.1016/j.jenvman.2024.120229
   Rodriguez M, 2023, J ENVIRON MANAGE, V344, DOI 10.1016/j.jenvman.2023.118607
   Roseboro A, 2021, FRONT WATER, V3, DOI 10.3389/frwa.2021.725174
   Schär C, 2020, B AM METEOROL SOC, V101, pE567, DOI 10.1175/BAMS-D-18-0167.1
   Semadeni-Davies A, 2008, J HYDROL, V350, P100, DOI 10.1016/j.jhydrol.2007.05.028
   Tavakol-Davani H, 2016, J SUSTAIN WATER BUIL, V2, DOI 10.1061/JSWBAY.0000805
   The Pittsburgh Water and Sewer Authority, 2021, 2022-2026 capital improvement plan
   The Water Research Foundation, 2023, INT'L STORMWATER BMP DBASE
   US EPA O, 2014, Storm water management model (SWMM)
   Voter CB, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abfc06
   Wang M, 2018, J CLEAN PROD, V179, P12, DOI 10.1016/j.jclepro.2018.01.096
   WCRP, 2021, Cordex
   Weaver CP, 2013, WIRES CLIM CHANGE, V4, P39, DOI 10.1002/wcc.202
   Zahmatkesh Z, 2015, J IRRIG DRAIN ENG, V141, DOI 10.1061/(ASCE)IR.1943-4774.0000770
   Zamani MG, 2023, J CLEAN PROD, V416, DOI 10.1016/j.jclepro.2023.137931
   Zuvela-Aloise M, 2016, CLIMATIC CHANGE, V135, P425, DOI 10.1007/s10584-016-1596-2
NR 66
TC 1
Z9 1
U1 8
U2 8
PU IOP Publishing Ltd
PI BRISTOL
PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
SN 1748-9326
J9 ENVIRON RES LETT
JI Environ. Res. Lett.
PD SEP 1
PY 2024
VL 19
IS 9
AR 094025
DI 10.1088/1748-9326/ad6462
PG 11
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA A8X0X
UT WOS:001285301200001
OA gold
DA 2025-01-10
ER

PT J
AU Hensengerth, O
   Lam, THO
   Tri, VD
   Hutton, C
   Darby, S
AF Hensengerth, Oliver
   Lam, Thi Hoang Oanh
   Tri, Van Pham Dang
   Hutton, Craig
   Darby, Stephen
TI How to promote sustainability? The challenge of strategic spatial
   planning in the Vietnamese Mekong Delta
SO JOURNAL OF ENVIRONMENTAL POLICY & PLANNING
LA English
DT Article
DE Strategic spatial planning; multi-level governance; deltas; Vietnam;
   Mekong
ID CLIMATE-CHANGE ADAPTATION; MULTILEVEL GOVERNANCE; RISK; VULNERABILITY;
   MANAGEMENT; DYNAMICS; BARRIERS; POLITICS; SYSTEMS; STATES
AB Tropical river deltas such as the Amazon, the Ganges-Brahmaputra-Meghna, and the Mekong are facing increasing pressures from climate change, upstream infrastructure building, and rapid economic development. Many deltas are shrinking and sinking, risking national and global food security. To promote the sustainability of the Vietnamese Mekong Delta, the Vietnamese government has developed a strategic spatial plan that introduces legal and institutional innovations designed to recalibrate central-local relationships and to increase policy effectiveness. We analyse these strategic changes by drawing on three sets of literature: strategic spatial planning, environmental states, and sustainability transitions in multi-level governance systems. We conducted interviews with provincial government officials in the delta to provide fresh insights into the real-time changes that local officials are facing. Our findings suggest that the state remains crucially important to facilitate transitions towards sustainability. By analysing the ongoing restructuring of state-wide governance regimes and resource relationships across a multi-level playing field, we view the state as a dynamic multi-level system where the dispersal of power is constantly in motion. Such a view allows us to observe in real time how states cope with sustainability crises. Applying this to the Vietnamese Mekong Delta enables us to locate the delta within a changing state-wide multi-level governance structure for strategic spatial planning in which the Vietnamese government enacts policy innovations to build local capacity while binding provinces closer to the centre. This recalibration of central-local relationships needs to be underpinned by investment in staff, the mobilisation of financial resources, and detailed guidance for implementation in order to stabilise the vertical and horizontal governance structures that are developing to transition vulnerable landscapes into a sustainable future.
C1 [Hensengerth, Oliver] Northumbria Univ, Dept Geog & Environm Sci, Newcastle Upon Tyne, England.
   [Lam, Thi Hoang Oanh; Tri, Van Pham Dang] Can Tho Univ, Mekong Inst, DRAGON, Can Tho, Vietnam.
   [Hutton, Craig; Darby, Stephen] Univ Southampton, Sch Geog & Environm Sci, Southampton, England.
C3 Northumbria University; Can Tho University; University of Southampton
RP Hensengerth, O (corresponding author), Northumbria Univ, Dept Geog & Environm Sci, Newcastle Upon Tyne, England.
EM oliver.hensengerth@northumbria.ac.uk
RI Darby, Stephen/J-5799-2012
OI Hensengerth, Oliver/0000-0002-6565-692X; Hutton,
   Craig/0000-0002-5896-756X; Darby, Stephen/0000-0001-8778-4394
FU Natural
FX No Statement Available
CR Albrechts L., 2001, INT PLAN STUD, V6, P293, DOI [https://doi.org/10.1080/13563470120026514, DOI 10.1080/13563470120026514]
   Amundsen H, 2010, ENVIRON PLANN C, V28, P276, DOI 10.1068/c0941
   [Anonymous], 2013, Mekong Delta Plan. Long-term vision and strategy for a safe
   Baird J, 2019, ENVIRON MANAGE, V63, P16, DOI 10.1007/s00267-018-1105-7
   Baker T, 2015, INT J URBAN REGIONAL, V39, P62, DOI 10.1111/1468-2427.12183
   Biermann F, 2021, ENVIRON POLIT, V30, P61, DOI 10.1080/09644016.2020.1846958
   Bodin Ö, 2017, SCIENCE, V357, P659, DOI 10.1126/science.aan1114
   Boretti A, 2020, GLOB ECOL CONSERV, V22, DOI 10.1016/j.gecco.2020.e00989
   Bruun O, 2023, ENVIRON MANAGE, V71, P538, DOI 10.1007/s00267-022-01650-7
   Cairney P., 2012, Understanding public policy
   Chandrashekeran S, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.473
   Chanh Trung, 2018, SAIGON TIMES    1108
   Christoplos I, 2016, Understanding Subnational Climate Governance: Findings from Nepal, Uganda, Vietnam and Zambia
   Christoplos I, 2017, DISASTERS, V41, P448, DOI 10.1111/disa.12215
   Cowell R, 2010, LAND USE POLICY, V27, P222, DOI 10.1016/j.landusepol.2009.01.006
   Dang V. B., 2019, NHAN DAN
   Demazière C, 2018, DISP, V54, P58, DOI 10.1080/02513625.2018.1487645
   Doebeli AG, 2021, ENVIRON SCI POLICY, V124, P293, DOI 10.1016/j.envsci.2021.07.001
   Duit A, 2016, ENVIRON POLIT, V25, P1, DOI 10.1080/09644016.2015.1085218
   Duit A, 2014, AM COMP ENVIRON POLI, P1
   Eckersley P, 2017, POLICY STUD-UK, V38, P76, DOI 10.1080/01442872.2016.1188910
   Eckersley R, 2021, ENVIRON POLIT, V30, P245, DOI 10.1080/09644016.2020.1810890
   Ehnert F, 2018, ENVIRON INNOV SOC TR, V26, P101, DOI 10.1016/j.eist.2017.05.002
   Eslami S, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-55018-9
   Fliervoet JM, 2016, ENVIRON MANAGE, V57, P355, DOI 10.1007/s00267-015-0606-x
   Garschagen M, 2015, PAC AFF, V88, P599, DOI 10.5509/2015883599
   Getimis P, 2010, URBAN LAND PERSPECT, P123, DOI 10.1007/978-90-481-3106-8_8
   Gunnink JL, 2021, EARTH SYST SCI DATA, V13, P3297, DOI 10.5194/essd-13-3297-2021
   Gustafsson S, 2019, J ENVIRON PLANN MAN, V62, P1321, DOI 10.1080/09640568.2018.1495620
   Hagenlocher M, 2018, SCI TOTAL ENVIRON, V631-632, P71, DOI 10.1016/j.scitotenv.2018.03.013
   Happaerts S, 2012, CAN J POLIT SCI, V45, P141, DOI 10.1017/S0008423911000941
   Hartley K, 2021, POLICY DES PRACT, V4, P152, DOI 10.1080/25741292.2021.1877923
   Hasan S, 2019, J ENVIRON PLANN MAN, V62, P1583, DOI 10.1080/09640568.2019.1592745
   Hausknost D, 2020, ENVIRON POLIT, V29, P17, DOI 10.1080/09644016.2019.1680062
   Healy P., 2007, URBAN COMPLEXITY SPA
   Henrysson M, 2021, CLIM DEV, V13, P49, DOI 10.1080/17565529.2020.1723469
   Hensengerth O, 2019, PUBLIC POLICY ADMIN, V34, P121, DOI 10.1177/0952076717753279
   Vo HTM, 2019, J ENVIRON PLANN MAN, V62, P1454, DOI 10.1080/09640568.2019.1571328
   Huynh T. P. L., 2016, STATE SOC INTERACTIO
   Johnstone P, 2018, ENVIRON INNOV SOC TR, V27, P72, DOI 10.1016/j.eist.2017.10.006
   Kuenzer C, 2012, ENVIRON SCI ENG, P7, DOI 10.1007/978-94-007-3962-8_2
   Phuong LTH, 2018, J ENVIRON POL PLAN, V20, P518, DOI 10.1080/1523908X.2018.1447366
   Leitold R, 2020, CLIMATIC CHANGE, V163, P359, DOI 10.1007/s10584-020-02888-y
   Loucks DP, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab4165
   Marks Gary., 1992, EUROPOLITICS I POLIC, P191
   McElwee P., 2016, FORESTS ARE GOLD TRE
   Megdal SB, 2017, ENVIRON MANAGE, V59, P718, DOI 10.1007/s00267-017-0830-7
   Minkman E, 2022, REG ENVIRON CHANGE, V22, DOI 10.1007/s10113-022-01898-z
   MURDOCH J, 1995, T I BRIT GEOGR, V20, P368, DOI 10.2307/622657
   Next Blue, 2022, INTRO NEW REGIONAL P
   Nguyen T. M., 2022, NEW NORMAL MEKONG DE
   Parker A, 2020, QUAEST GEOGR, V39, P109, DOI 10.2478/quageo-2020-0009
   Royal HaskoningDHV, 2022, DRIVING RESILIENCE V
   Schreurs MA, 2010, ASIAN ECON POLICY R, V5, P88, DOI 10.1111/j.1748-3131.2010.01150.x
   Seijger C, 2017, J ENVIRON PLANN MAN, V60, P1485, DOI 10.1080/09640568.2016.1231667
   Sending OJ, 2006, INT STUD QUART, V50, P651, DOI 10.1111/j.1468-2478.2006.00418.x
   Smajgl A, 2015, NAT CLIM CHANGE, V5, P167, DOI [10.1038/NCLIMATE2469, 10.1038/nclimate2469]
   Stoker G, 2011, PUBLIC ADMIN, V89, P15, DOI 10.1111/j.1467-9299.2011.01900.x
   Szabo S, 2016, SUSTAIN SCI, V11, P411, DOI 10.1007/s11625-015-0337-1
   Tewdwr-Jones M., 2002, PLANNING POLITY PLAN
   Tran TA, 2020, ASIA PAC VIEWP, V61, P162, DOI 10.1111/apv.12241
   Tran D. D., 2018, Irrigation and Drainage, V67, P81, DOI 10.1002/ird.2172
   Tri VD, 2023, WIRES WATER, V10, DOI 10.1002/wat2.1670
   Vietnam Law and Legal Forum, 2022, WB COMMITTED SUPPORT
   Walsh C, 2021, REG STUD, V55, P818, DOI 10.1080/00343404.2020.1766671
   Weger J, 2019, ENVIRON SCI POLICY, V100, P183, DOI 10.1016/j.envsci.2019.07.011
   Wilkinson C, 2013, ECOL SOC, V18, DOI 10.5751/ES-05368-180137
   Wittmayer JM, 2016, THEOR PRACT URB SUST, P13, DOI 10.1007/978-4-431-55426-4_2
   World Bank, 2021, For Mekong Delta farmers, diversification is the key to climate resilience
   Yang L, 2017, ROUTL CONTEMP CHINA, P76
   Yoder L, 2021, POLICY STUD J, V49, P1087, DOI 10.1111/psj.12389
   Zapata-Barrero R, 2017, INT REV ADM SCI, V83, P241, DOI 10.1177/0020852316688426
   Zegwaard A, 2019, ENVIRON SCI POLICY, V94, P237, DOI 10.1016/j.envsci.2019.01.011
   Zhang YH, 2020, ENVIRON POLICY GOV, V30, P128, DOI 10.1002/eet.1878
NR 74
TC 0
Z9 0
U1 1
U2 4
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1523-908X
EI 1522-7200
J9 J ENVIRON POL PLAN
JI J. Environ. Pol. Plan.
PD JAN 2
PY 2024
VL 26
IS 1
BP 91
EP 103
DI 10.1080/1523908X.2023.2298808
EA DEC 2023
PG 13
WC Development Studies; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Development Studies; Public Administration
GA EL4Y5
UT WOS:001132149600001
OA hybrid, Green Accepted
DA 2025-01-10
ER

PT J
AU Ariyawanshe, IDKSD
   Fujimura, M
   Abeyrathne, AHMSWB
   Kazunari, T
AF Ariyawanshe, I. D. K. S. D.
   Fujimura, Miho
   Abeyrathne, A. H. M. S. W. B.
   Kazunari, Tsuji
TI Fostering Collective Action in a Village-Tank Cascade-Based Community in
   Sri Lanka: An Illusion or Reality?
SO SUSTAINABILITY
LA English
DT Article
DE collective action; cascade; ecosystem; community; scale; legitimacy;
   development; governance
ID MANAGEMENT; PARTICIPATION; LEGITIMACY; RESOURCES; INDIA
AB Collective action has inevitable importance for sustainable governance of shared resource systems with interactions across multiple social and spatial scales. Village irrigation tanks in Sri Lanka have been recognized as shared resource systems sustainably managed through the collective action of local communities throughout history. Increased population pressure on shared resources and expanded socio-economic relationships over time have led to extended resource-based interactions between people. This occurred beyond village tanks within the broader scale of Village-Tank-Cascade Systems (VTCS), in which village tanks are constituent sub-units. This demands the cross-scale collective action of local communities for sustainable governance of VTCS, which has become a challenging endeavor in the current context. This case study explores the dynamics of collective action across multiple social and spatial scales within a VTCS by identifying existing collective action arenas, drivers, and limitations for the local community to engage in collective action through a mixed-methods approach with reference to the Medde Rambewa cascade system in the dry zone of Sri Lanka. Findings reveal that collective action arenas of VTCS-based local communities occur in response to common challenges posed by disturbed environmental equilibria and as a part of people's lifestyle, with outcomes contributing to climate change adaptation, livelihood support, risk or emergency preparedness, and promoting social identity. Economic incentives, rules, and fines imposed by Farmers' Organizations (FOs) were found to be drivers of currently adopted collective activities at the scale of village tanks. While collective action prevails beyond the scale of individual village tanks when governed by community institutions, shared resource uses, and social relationships among actors, individualistic resource uses occur in the absence of legitimate regulatory mechanisms. The study highlights the need for legitimate, scale-sensitive solutions to long-overdue common problems experienced by VTCS-based communities in order to foster meaningful collective action on a broader scale.
C1 [Ariyawanshe, I. D. K. S. D.; Fujimura, Miho; Kazunari, Tsuji] Kagoshima Univ, United Grad Sch Agr Sci, 1-21-24 Korimoto, Kagoshima 8900065, Japan.
   [Ariyawanshe, I. D. K. S. D.] Univ Peradeniya, Fac Agr, Dept Agr Extens, Peradeniya 20400, Sri Lanka.
   [Fujimura, Miho; Kazunari, Tsuji] Saga Univ, Fac Agr, Dept Reg Dev & Management Studies, 1 Honjo Machi, Saga 8408502, Japan.
   [Abeyrathne, A. H. M. S. W. B.] United Nations Dev Programme, UN Cpd 202-204,Bauddhaloka Mawatha,07, Colombo 00700, Sri Lanka.
C3 Kagoshima University; University of Peradeniya; Saga University
RP Ariyawanshe, IDKSD (corresponding author), Kagoshima Univ, United Grad Sch Agr Sci, 1-21-24 Korimoto, Kagoshima 8900065, Japan.; Ariyawanshe, IDKSD (corresponding author), Univ Peradeniya, Fac Agr, Dept Agr Extens, Peradeniya 20400, Sri Lanka.
EM kumudusda@agri.pdn.ac.lk; fujimum@cc.sagau.ac.jp;
   sampath.abeyrathne@tetratech.com; tsujikjp@cc.sagau.ac.jp
FU We would like to thank the generous people residing at
   <italic>Medde-Rambewa</italic> Cascade area, for giving their time and
   support to the study. We are grateful for the support extended by the
   staff of the SAPSRI office, <italic>Nawagattegama</italic>,
FX We would like to thank the generous people residing at
   <ITALIC>Medde-Rambewa</ITALIC> Cascade area, for giving their time and
   support to the study. We are grateful for the support extended by the
   staff of the SAPSRI office, <ITALIC>Nawagattegama</ITALIC>, for the
   support extended during the field data collection. The corresponding
   author extends her gratitude to the government and people of Japan for
   awarding the Monbukagakusho scholarship to conduct the doctoral
   research. The authors gratefully acknowledge the constructive review
   comments by the three journal reviewers and editor.
CR Abeywardana N, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11030910
   agrariandept.gov, Department of Agrarian Development of Sri Lanka Department of Agrarian Development
   Agrawal A, 2001, POLIT SOC, V29, P485, DOI 10.1177/0032329201029004002
   Aheeyar M., 2013, ALTERNATIVE APPROACH
   [Anonymous], 2017, Sri Lanka among Globally Important Agricultural Heritage Systems
   [Anonymous], 2016, National Adaptation Plan for Climate Change Impacts in Sri Lanka 2016-2025
   Bandara C. M., 2010, ECON REV, V36, P1
   Bandara C.M., 1985, Strategies for River Basin Management, P99, DOI [10.1007/978-94-009-5458-8_11, DOI 10.1007/978-94-009-5458-8_11]
   Belletti G, 2017, WORLD DEV, V98, P45, DOI 10.1016/j.worlddev.2015.05.004
   Bodin Ö, 2017, SCIENCE, V357, P659, DOI 10.1126/science.aan1114
   Cardenas JC, 2011, ENVIRON DEV ECON, V16, P275, DOI 10.1017/S1355770X10000392
   Cashore B, 2002, GOVERNANCE, V15, P503, DOI 10.1111/1468-0491.00199
   De Rosa M, 2015, ITAL J FOOD SAF, V4, P186, DOI 10.4081/ijfs.2015.4931
   Department of Census and Statistics of Sri Lanka, 2022, About us
   Department of Meteorology, Sri Lanka Climate of Sri Lanka
   Dharmasena P.B., 2020, Agric. Res. Sustain. Food Syst. Sri Lanka. A Hist. Perspect, P63, DOI DOI 10.1007/978-981-15-2152-23
   Dharmasena P.B., 2018, Field Assessment Report of the UNEP-GEF Project on 'Healthy Landscapes: Managing Agricultural Landscapes in Socio-Ecologically Sensitive Areas to Promote Food Security, Well-Being and Ecosystem Health
   Dharmasena P.B., 2010, P NATL C CASC IRR SY
   Di Gregorio M., 2008, Property Rights, Collective Action, and Poverty: The Role of Institutions for Poverty Reduction, DOI [10.22004/ag.econ.44354, DOI 10.22004/AG.ECON.44354]
   Divisional Secretariat of Nawagattegama, 2021, Resource Profile
   Edwards V., 1999, Journal of Environmental Policy Planning, V1, P205, DOI [DOI 10.1002/(SICI)1522-7200(199911)1:33.0.CO;2-X, DOI 10.1080/714038536, 10.1080/714038536]
   Filippi M, 2011, TERRITORIAL GOVERNANCE: LOCAL DEVELOPMENT, RURAL AREAS AND AGROFOOD SYSTEMS, P43, DOI 10.1007/978-3-7908-2422-3_3
   Geekiyanage N., 2013, J. Mar. Isl. Cult, V2, P93, DOI [DOI 10.1016/J.IMIC.2013.11.0, 10.1016/j.imic.2013.11.001, DOI 10.1016/J.IMIC.2013.11.001]
   Green Climate Fund, 2017, Strengthening the Resilience of Smallholder Farmers in the Dry Zone to Climate Variability and Extreme Events through an Integrated Approach to Water Management
   HARDIN G, 1968, SCIENCE, V162, P1243, DOI 10.1126/science.162.3859.1243
   Jagers SC, 2020, AMBIO, V49, P1282, DOI 10.1007/s13280-019-01284-w
   Kekulandala B, 2023, ENVIRON DEV, V46, DOI 10.1016/j.envdev.2023.100847
   Kekulandala B, 2021, CLIM DEV, V13, P337, DOI 10.1080/17565529.2020.1772709
   Lovell C, 2002, CONSERV ECOL, V5
   Marambe B., 2012, The Biodiversity Observation Network in the Asia-Pacific Region, P403, DOI [10.1007/978-4-431-54032-8_28, DOI 10.1007/978-4-431-54032-8_28]
   Markelova H, 2009, FOOD POLICY, V34, P1, DOI 10.1016/j.foodpol.2008.10.001
   McCarthy N, 2004, AGR SYST, V82, P233, DOI 10.1016/j.agsy.2004.07.005
   Meinzen-Dick R, 2004, AGR SYST, V82, P197, DOI 10.1016/j.agsy.2004.07.006
   Meinzen-Dick R., 1999, Draft Paper for Workshop, VVolume 15
   Muchara B, 2014, WATER SA, V40, P699, DOI 10.4314/wsa.v40i4.15
   Ostrom E., 2004, Collective Action and Property Rights for Sustainable Development. Understanding Collective Action, P11
   Ostrom E., 2010, Historical Developments and Theoretical Approaches in Sociology
   Ostrom E., 1990, GOVERNING COMMONS EV
   Ostrom E, 2011, POLICY STUD J, V39, P7, DOI 10.1111/j.1541-0072.2010.00394.x
   Ostrom E, 2010, GLOBAL ENVIRON CHANG, V20, P550, DOI 10.1016/j.gloenvcha.2010.07.004
   Panabokke C.R., 2009, Small Village Tank Systems of Sri Lanka: Their Evolution, Setting, Distribution, and Essential Functions
   Panabokke C R., 2002, Evolution, Present Status and Issues Concerning Small Tank Systems in Sri Lanka
   Perera KTN, 2021, WATER POLICY, V23, P537, DOI 10.2166/wp.2021.262
   Ratnayake S S., 2021, Challenges, V12, P24, DOI [10.3390/challe12020024, DOI 10.3390/CHALLE12020024]
   Ratnayake SS, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141610180
   Ratner BD, 2013, INT J COMMONS, V7, P183, DOI 10.18352/ijc.276
   Saravanan VS, 2002, WATER SCI TECHNOL, V45, P113, DOI 10.2166/wst.2002.0386
   Sarkar S., 2020, ARTHANITI J EC THEOR, V19, P224
   Shiferaw B.A., 2006, P 2006 ANN M QUEENSL, DOI [10.22004/ag.econ.25453, DOI 10.22004/AG.ECON.25453]
   South Asia Partnership Sri Lanka, 2021, Environmental Management Plan
   SUCHMAN MC, 1995, ACAD MANAGE REV, V20, P571, DOI 10.2307/258788
   Swallow B, 2006, WATER INT, V31, P361, DOI 10.1080/02508060608691938
   Swaloow B.M., 2001, Water Policy, V3, P457, DOI [10.1016/S1366-7017(02)00011-9, DOI 10.1016/S1366-7017(02)00011-9]
   Uphoff N, 2000, WORLD DEV, V28, P1875, DOI 10.1016/S0305-750X(00)00063-2
   UPHOFF N, 1990, HUM ORGAN, V49, P26, DOI 10.17730/humo.49.1.123pg568k40l135l
   Vecchio Y, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12052052
   Vedeld T, 2000, J DEV STUD, V36, P105, DOI 10.1080/00220380008422648
   WADE R, 1987, CAMBRIDGE J ECON, V11, P95, DOI 10.1093/oxfordjournals.cje.a035024
   worldbank, Climate Change Knowledge Portal Sri Lanka-Climatology|Climate Change Knowledge Portal
   Yin R. K., 2009, CASE STUDY RES DESIG
NR 60
TC 0
Z9 0
U1 0
U2 9
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD OCT
PY 2023
VL 15
IS 20
AR 15168
DI 10.3390/su152015168
PG 22
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA W7TG0
UT WOS:001093607900001
OA gold
DA 2025-01-10
ER

EF